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github-patches-10k-sample-sorted

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vllm-project__vllm-605
[ { "content": "import socket\nfrom typing import Optional, Tuple, TYPE_CHECKING\n\nfrom vllm.config import ParallelConfig\n\ntry:\n import ray\n from ray.air.util.torch_dist import TorchDistributedWorker\n\n class RayWorker(TorchDistributedWorker):\n \"\"\"Ray wrapper for vllm.worker.Worker, allowing Worker to be\n lazliy initialized after Ray sets CUDA_VISIBLE_DEVICES.\"\"\"\n\n def __init__(self) -> None:\n self.worker = None\n\n def init_worker(self, worker_init_fn):\n self.worker = worker_init_fn()\n\n def __getattr__(self, name):\n return getattr(self.worker, name)\n\n def execute_method(self, method, *args, **kwargs):\n executor = getattr(self, method)\n return executor(*args, **kwargs)\n\nexcept ImportError:\n ray = None\n TorchDistributedWorker = None\n\nif TYPE_CHECKING:\n from ray.util.placement_group import PlacementGroup\n\n\ndef get_open_port():\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n s.bind((\"\", 0))\n return s.getsockname()[1]\n\n\ndef initialize_cluster(\n parallel_config: ParallelConfig,\n engine_use_ray: bool = False,\n ray_address: Optional[str] = None,\n) -> Tuple[str, Optional[\"PlacementGroup\"]]:\n \"\"\"Initialize the distributed cluster probably with Ray.\n\n Args:\n parallel_config: The configurations for parallel execution.\n engine_use_ray: Whether to use Ray for async engine.\n ray_address: The address of the Ray cluster. If None, uses\n the default Ray cluster address.\n\n Returns:\n A tuple of (`distributed_init_method`, `all_stage_devices`). The\n `distributed_init_method` is the address for initializing the\n distributed backend. `all_stage_devices` includes device IDs for\n each worker in each pipeline stage. Each device ID is a tuple of\n (rank, node resource, device id).\n \"\"\"\n if parallel_config.worker_use_ray or engine_use_ray:\n if ray is None:\n raise ImportError(\n \"Ray is not installed. Please install Ray to use distributed \"\n \"serving.\")\n # Connect to a ray cluster.\n ray.init(address=ray_address, ignore_reinit_error=True)\n\n if not parallel_config.worker_use_ray:\n # Initialize cluster locally.\n port = get_open_port()\n # We need to setup the distributed init method to make sure\n # the distributed megatron code (e.g., get world size) works correctly.\n distributed_init_method = f\"tcp://localhost:{port}\"\n return distributed_init_method, None\n\n current_placement_group = ray.util.get_current_placement_group()\n if current_placement_group:\n # We are in a placement group\n bundles = current_placement_group.bundle_specs\n # Verify that we can use the placement group.\n gpu_bundles = 0\n for bundle in bundles:\n bundle_gpus = bundle.get(\"GPU\", 0)\n if bundle_gpus > 1:\n raise ValueError(\n \"Placement group bundle cannot have more than 1 GPU.\")\n if bundle_gpus:\n gpu_bundles += 1\n if parallel_config.world_size > gpu_bundles:\n raise ValueError(\n \"The number of required GPUs exceeds the total number of \"\n \"available GPUs in the placement group.\")\n else:\n num_gpus_in_cluster = ray.cluster_resources().get(\"GPU\", 0)\n if parallel_config.world_size > num_gpus_in_cluster:\n raise ValueError(\n \"The number of required GPUs exceeds the total number of \"\n \"available GPUs in the cluster.\")\n # Create a new placement group\n current_placement_group = ray.util.placement_group([{\n \"GPU\": 1\n }] * parallel_config.world_size)\n # Wait until PG is ready - this will block until all\n # requested resources are available, and will timeout\n # if they cannot be provisioned.\n ray.get(current_placement_group.ready(), timeout=1800)\n\n return None, current_placement_group\n", "path": "vllm/engine/ray_utils.py" } ]
[ { "content": "import socket\nfrom typing import Optional, Tuple, TYPE_CHECKING\n\nfrom vllm.config import ParallelConfig\n\ntry:\n import ray\n from ray.air.util.torch_dist import TorchDistributedWorker\n\n class RayWorker(TorchDistributedWorker):\n \"\"\"Ray wrapper for vllm.worker.Worker, allowing Worker to be\n lazliy initialized after Ray sets CUDA_VISIBLE_DEVICES.\"\"\"\n\n def __init__(self) -> None:\n self.worker = None\n\n def init_worker(self, worker_init_fn):\n self.worker = worker_init_fn()\n\n def __getattr__(self, name):\n return getattr(self.worker, name)\n\n def execute_method(self, method, *args, **kwargs):\n executor = getattr(self, method)\n return executor(*args, **kwargs)\n\nexcept ImportError:\n ray = None\n TorchDistributedWorker = None\n RayWorker = None # pylint: disable=invalid-name\n\nif TYPE_CHECKING:\n from ray.util.placement_group import PlacementGroup\n\n\ndef get_open_port():\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n s.bind((\"\", 0))\n return s.getsockname()[1]\n\n\ndef initialize_cluster(\n parallel_config: ParallelConfig,\n engine_use_ray: bool = False,\n ray_address: Optional[str] = None,\n) -> Tuple[str, Optional[\"PlacementGroup\"]]:\n \"\"\"Initialize the distributed cluster probably with Ray.\n\n Args:\n parallel_config: The configurations for parallel execution.\n engine_use_ray: Whether to use Ray for async engine.\n ray_address: The address of the Ray cluster. If None, uses\n the default Ray cluster address.\n\n Returns:\n A tuple of (`distributed_init_method`, `all_stage_devices`). The\n `distributed_init_method` is the address for initializing the\n distributed backend. `all_stage_devices` includes device IDs for\n each worker in each pipeline stage. Each device ID is a tuple of\n (rank, node resource, device id).\n \"\"\"\n if parallel_config.worker_use_ray or engine_use_ray:\n if ray is None:\n raise ImportError(\n \"Ray is not installed. Please install Ray to use distributed \"\n \"serving.\")\n # Connect to a ray cluster.\n ray.init(address=ray_address, ignore_reinit_error=True)\n\n if not parallel_config.worker_use_ray:\n # Initialize cluster locally.\n port = get_open_port()\n # We need to setup the distributed init method to make sure\n # the distributed megatron code (e.g., get world size) works correctly.\n distributed_init_method = f\"tcp://localhost:{port}\"\n return distributed_init_method, None\n\n current_placement_group = ray.util.get_current_placement_group()\n if current_placement_group:\n # We are in a placement group\n bundles = current_placement_group.bundle_specs\n # Verify that we can use the placement group.\n gpu_bundles = 0\n for bundle in bundles:\n bundle_gpus = bundle.get(\"GPU\", 0)\n if bundle_gpus > 1:\n raise ValueError(\n \"Placement group bundle cannot have more than 1 GPU.\")\n if bundle_gpus:\n gpu_bundles += 1\n if parallel_config.world_size > gpu_bundles:\n raise ValueError(\n \"The number of required GPUs exceeds the total number of \"\n \"available GPUs in the placement group.\")\n else:\n num_gpus_in_cluster = ray.cluster_resources().get(\"GPU\", 0)\n if parallel_config.world_size > num_gpus_in_cluster:\n raise ValueError(\n \"The number of required GPUs exceeds the total number of \"\n \"available GPUs in the cluster.\")\n # Create a new placement group\n current_placement_group = ray.util.placement_group([{\n \"GPU\": 1\n }] * parallel_config.world_size)\n # Wait until PG is ready - this will block until all\n # requested resources are available, and will timeout\n # if they cannot be provisioned.\n ray.get(current_placement_group.ready(), timeout=1800)\n\n return None, current_placement_group\n", "path": "vllm/engine/ray_utils.py" } ]
diff --git a/vllm/engine/ray_utils.py b/vllm/engine/ray_utils.py index 06ebf207abf..f085f9225b8 100644 --- a/vllm/engine/ray_utils.py +++ b/vllm/engine/ray_utils.py @@ -27,6 +27,7 @@ def execute_method(self, method, *args, **kwargs): except ImportError: ray = None TorchDistributedWorker = None + RayWorker = None # pylint: disable=invalid-name if TYPE_CHECKING: from ray.util.placement_group import PlacementGroup
RayWorker import error When import `vllm` I got following error ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/code/vllm/vllm/__init__.py", line 4, in <module> from vllm.engine.async_llm_engine import AsyncLLMEngine File "/code/vllm/vllm/engine/async_llm_engine.py", line 7, in <module> from vllm.engine.llm_engine import LLMEngine File "/code/vllm/vllm/engine/llm_engine.py", line 9, in <module> from vllm.engine.ray_utils import initialize_cluster, ray, RayWorker ImportError: cannot import name 'RayWorker' from 'vllm.engine.ray_utils' ``` It seems `ray` requires `pandas` I haven't installed it.
inventree__InvenTree-1870
[ { "content": "\"\"\"\nCommon database model definitions.\nThese models are 'generic' and do not fit a particular business logic object.\n\"\"\"\n\n# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nimport os\nimport decimal\nimport math\n\nfrom django.db import models, transaction\nfrom django.contrib.auth.models import User\nfrom django.db.utils import IntegrityError, OperationalError\nfrom django.conf import settings\n\nfrom djmoney.settings import CURRENCY_CHOICES\nfrom djmoney.contrib.exchange.models import convert_money\nfrom djmoney.contrib.exchange.exceptions import MissingRate\n\nfrom django.utils.translation import ugettext_lazy as _\nfrom django.core.validators import MinValueValidator, URLValidator\nfrom django.core.exceptions import ValidationError\n\nimport InvenTree.helpers\nimport InvenTree.fields\n\n\nclass BaseInvenTreeSetting(models.Model):\n \"\"\"\n An base InvenTreeSetting object is a key:value pair used for storing\n single values (e.g. one-off settings values).\n \"\"\"\n\n GLOBAL_SETTINGS = {}\n\n class Meta:\n abstract = True\n\n @classmethod\n def get_setting_name(cls, key):\n \"\"\"\n Return the name of a particular setting.\n\n If it does not exist, return an empty string.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('name', '')\n else:\n return ''\n\n @classmethod\n def get_setting_description(cls, key):\n \"\"\"\n Return the description for a particular setting.\n\n If it does not exist, return an empty string.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('description', '')\n else:\n return ''\n\n @classmethod\n def get_setting_units(cls, key):\n \"\"\"\n Return the units for a particular setting.\n\n If it does not exist, return an empty string.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('units', '')\n else:\n return ''\n\n @classmethod\n def get_setting_validator(cls, key):\n \"\"\"\n Return the validator for a particular setting.\n\n If it does not exist, return None\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('validator', None)\n else:\n return None\n\n @classmethod\n def get_setting_default(cls, key):\n \"\"\"\n Return the default value for a particular setting.\n\n If it does not exist, return an empty string\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('default', '')\n else:\n return ''\n\n @classmethod\n def get_setting_choices(cls, key):\n \"\"\"\n Return the validator choices available for a particular setting.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n choices = setting.get('choices', None)\n else:\n choices = None\n\n \"\"\"\n TODO:\n if type(choices) is function:\n # Evaluate the function (we expect it will return a list of tuples...)\n return choices()\n \"\"\"\n\n return choices\n\n @classmethod\n def get_filters(cls, key, **kwargs):\n return {'key__iexact': key}\n\n @classmethod\n def get_setting_object(cls, key, **kwargs):\n \"\"\"\n Return an InvenTreeSetting object matching the given key.\n\n - Key is case-insensitive\n - Returns None if no match is made\n \"\"\"\n\n key = str(key).strip().upper()\n\n try:\n setting = cls.objects.filter(**cls.get_filters(key, **kwargs)).first()\n except (ValueError, cls.DoesNotExist):\n setting = None\n except (IntegrityError, OperationalError):\n setting = None\n\n # Setting does not exist! (Try to create it)\n if not setting:\n\n setting = cls(key=key, value=cls.get_setting_default(key), **kwargs)\n\n try:\n # Wrap this statement in \"atomic\", so it can be rolled back if it fails\n with transaction.atomic():\n setting.save()\n except (IntegrityError, OperationalError):\n # It might be the case that the database isn't created yet\n pass\n\n return setting\n\n @classmethod\n def get_setting_pk(cls, key):\n \"\"\"\n Return the primary-key value for a given setting.\n\n If the setting does not exist, return None\n \"\"\"\n\n setting = cls.get_setting_object(cls)\n\n if setting:\n return setting.pk\n else:\n return None\n\n @classmethod\n def get_setting(cls, key, backup_value=None, **kwargs):\n \"\"\"\n Get the value of a particular setting.\n If it does not exist, return the backup value (default = None)\n \"\"\"\n\n # If no backup value is specified, atttempt to retrieve a \"default\" value\n if backup_value is None:\n backup_value = cls.get_setting_default(key)\n\n setting = cls.get_setting_object(key, **kwargs)\n\n if setting:\n value = setting.value\n\n # If the particular setting is defined as a boolean, cast the value to a boolean\n if setting.is_bool():\n value = InvenTree.helpers.str2bool(value)\n\n if setting.is_int():\n try:\n value = int(value)\n except (ValueError, TypeError):\n value = backup_value\n\n else:\n value = backup_value\n\n return value\n\n @classmethod\n def set_setting(cls, key, value, change_user, create=True, **kwargs):\n \"\"\"\n Set the value of a particular setting.\n If it does not exist, option to create it.\n\n Args:\n key: settings key\n value: New value\n change_user: User object (must be staff member to update a core setting)\n create: If True, create a new setting if the specified key does not exist.\n \"\"\"\n\n if change_user is not None and not change_user.is_staff:\n return\n\n try:\n setting = cls.objects.get(**cls.get_filters(key, **kwargs))\n except cls.DoesNotExist:\n\n if create:\n setting = cls(key=key, **kwargs)\n else:\n return\n\n # Enforce standard boolean representation\n if setting.is_bool():\n value = InvenTree.helpers.str2bool(value)\n\n setting.value = str(value)\n setting.save()\n\n key = models.CharField(max_length=50, blank=False, unique=False, help_text=_('Settings key (must be unique - case insensitive'))\n\n value = models.CharField(max_length=200, blank=True, unique=False, help_text=_('Settings value'))\n\n @property\n def name(self):\n return self.__class__.get_setting_name(self.key)\n\n @property\n def default_value(self):\n return self.__class__.get_setting_default(self.key)\n\n @property\n def description(self):\n return self.__class__.get_setting_description(self.key)\n\n @property\n def units(self):\n return self.__class__.get_setting_units(self.key)\n\n def clean(self):\n \"\"\"\n If a validator (or multiple validators) are defined for a particular setting key,\n run them against the 'value' field.\n \"\"\"\n\n super().clean()\n\n validator = self.__class__.get_setting_validator(self.key)\n\n if self.is_bool():\n self.value = InvenTree.helpers.str2bool(self.value)\n\n if self.is_int():\n try:\n self.value = int(self.value)\n except (ValueError):\n raise ValidationError(_('Must be an integer value'))\n\n if validator is not None:\n self.run_validator(validator)\n\n def run_validator(self, validator):\n \"\"\"\n Run a validator against the 'value' field for this InvenTreeSetting object.\n \"\"\"\n\n if validator is None:\n return\n\n value = self.value\n\n # Boolean validator\n if self.is_bool():\n # Value must \"look like\" a boolean value\n if InvenTree.helpers.is_bool(value):\n # Coerce into either \"True\" or \"False\"\n value = InvenTree.helpers.str2bool(value)\n else:\n raise ValidationError({\n 'value': _('Value must be a boolean value')\n })\n\n # Integer validator\n if self.is_int():\n\n try:\n # Coerce into an integer value\n value = int(value)\n except (ValueError, TypeError):\n raise ValidationError({\n 'value': _('Value must be an integer value'),\n })\n\n # If a list of validators is supplied, iterate through each one\n if type(validator) in [list, tuple]:\n for v in validator:\n self.run_validator(v)\n\n if callable(validator):\n # We can accept function validators with a single argument\n validator(self.value)\n\n def validate_unique(self, exclude=None, **kwargs):\n \"\"\" Ensure that the key:value pair is unique.\n In addition to the base validators, this ensures that the 'key'\n is unique, using a case-insensitive comparison.\n \"\"\"\n\n super().validate_unique(exclude)\n\n try:\n setting = self.__class__.objects.exclude(id=self.id).filter(**self.get_filters(self.key, **kwargs))\n if setting.exists():\n raise ValidationError({'key': _('Key string must be unique')})\n except self.DoesNotExist:\n pass\n\n def choices(self):\n \"\"\"\n Return the available choices for this setting (or None if no choices are defined)\n \"\"\"\n\n return self.__class__.get_setting_choices(self.key)\n\n def is_bool(self):\n \"\"\"\n Check if this setting is required to be a boolean value\n \"\"\"\n\n validator = self.__class__.get_setting_validator(self.key)\n\n if validator == bool:\n return True\n\n if type(validator) in [list, tuple]:\n for v in validator:\n if v == bool:\n return True\n\n def as_bool(self):\n \"\"\"\n Return the value of this setting converted to a boolean value.\n\n Warning: Only use on values where is_bool evaluates to true!\n \"\"\"\n\n return InvenTree.helpers.str2bool(self.value)\n\n def is_int(self):\n \"\"\"\n Check if the setting is required to be an integer value:\n \"\"\"\n\n validator = self.__class__.get_setting_validator(self.key)\n\n if validator == int:\n return True\n\n if type(validator) in [list, tuple]:\n for v in validator:\n if v == int:\n return True\n\n return False\n\n def as_int(self):\n \"\"\"\n Return the value of this setting converted to a boolean value.\n\n If an error occurs, return the default value\n \"\"\"\n\n try:\n value = int(self.value)\n except (ValueError, TypeError):\n value = self.default_value()\n\n return value\n\n\nclass InvenTreeSetting(BaseInvenTreeSetting):\n \"\"\"\n An InvenTreeSetting object is a key:value pair used for storing\n single values (e.g. one-off settings values).\n\n The class provides a way of retrieving the value for a particular key,\n even if that key does not exist.\n \"\"\"\n\n \"\"\"\n Dict of all global settings values:\n\n The key of each item is the name of the value as it appears in the database.\n\n Each global setting has the following parameters:\n\n - name: Translatable string name of the setting (required)\n - description: Translatable string description of the setting (required)\n - default: Default value (optional)\n - units: Units of the particular setting (optional)\n - validator: Validation function for the setting (optional)\n\n The keys must be upper-case\n \"\"\"\n\n GLOBAL_SETTINGS = {\n\n 'INVENTREE_INSTANCE': {\n 'name': _('InvenTree Instance Name'),\n 'default': 'InvenTree server',\n 'description': _('String descriptor for the server instance'),\n },\n\n 'INVENTREE_INSTANCE_TITLE': {\n 'name': _('Use instance name'),\n 'description': _('Use the instance name in the title-bar'),\n 'validator': bool,\n 'default': False,\n },\n\n 'INVENTREE_COMPANY_NAME': {\n 'name': _('Company name'),\n 'description': _('Internal company name'),\n 'default': 'My company name',\n },\n\n 'INVENTREE_BASE_URL': {\n 'name': _('Base URL'),\n 'description': _('Base URL for server instance'),\n 'validator': URLValidator(),\n 'default': '',\n },\n\n 'INVENTREE_DEFAULT_CURRENCY': {\n 'name': _('Default Currency'),\n 'description': _('Default currency'),\n 'default': 'USD',\n 'choices': CURRENCY_CHOICES,\n },\n\n 'INVENTREE_DOWNLOAD_FROM_URL': {\n 'name': _('Download from URL'),\n 'description': _('Allow download of remote images and files from external URL'),\n 'validator': bool,\n 'default': False,\n },\n\n 'BARCODE_ENABLE': {\n 'name': _('Barcode Support'),\n 'description': _('Enable barcode scanner support'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_IPN_REGEX': {\n 'name': _('IPN Regex'),\n 'description': _('Regular expression pattern for matching Part IPN')\n },\n\n 'PART_ALLOW_DUPLICATE_IPN': {\n 'name': _('Allow Duplicate IPN'),\n 'description': _('Allow multiple parts to share the same IPN'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_ALLOW_EDIT_IPN': {\n 'name': _('Allow Editing IPN'),\n 'description': _('Allow changing the IPN value while editing a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_COPY_BOM': {\n 'name': _('Copy Part BOM Data'),\n 'description': _('Copy BOM data by default when duplicating a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_COPY_PARAMETERS': {\n 'name': _('Copy Part Parameter Data'),\n 'description': _('Copy parameter data by default when duplicating a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_COPY_TESTS': {\n 'name': _('Copy Part Test Data'),\n 'description': _('Copy test data by default when duplicating a part'),\n 'default': True,\n 'validator': bool\n },\n\n 'PART_CATEGORY_PARAMETERS': {\n 'name': _('Copy Category Parameter Templates'),\n 'description': _('Copy category parameter templates when creating a part'),\n 'default': True,\n 'validator': bool\n },\n\n 'PART_RECENT_COUNT': {\n 'name': _('Recent Part Count'),\n 'description': _('Number of recent parts to display on index page'),\n 'default': 10,\n 'validator': [int, MinValueValidator(1)]\n },\n\n 'PART_TEMPLATE': {\n 'name': _('Template'),\n 'description': _('Parts are templates by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_ASSEMBLY': {\n 'name': _('Assembly'),\n 'description': _('Parts can be assembled from other components by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_COMPONENT': {\n 'name': _('Component'),\n 'description': _('Parts can be used as sub-components by default'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_PURCHASEABLE': {\n 'name': _('Purchaseable'),\n 'description': _('Parts are purchaseable by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_SALABLE': {\n 'name': _('Salable'),\n 'description': _('Parts are salable by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_TRACKABLE': {\n 'name': _('Trackable'),\n 'description': _('Parts are trackable by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_VIRTUAL': {\n 'name': _('Virtual'),\n 'description': _('Parts are virtual by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_SHOW_QUANTITY_IN_FORMS': {\n 'name': _('Show Quantity in Forms'),\n 'description': _('Display available part quantity in some forms'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_SHOW_IMPORT': {\n 'name': _('Show Import in Views'),\n 'description': _('Display the import wizard in some part views'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_SHOW_PRICE_IN_FORMS': {\n 'name': _('Show Price in Forms'),\n 'description': _('Display part price in some forms'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_SHOW_RELATED': {\n 'name': _('Show related parts'),\n 'description': _('Display related parts for a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_CREATE_INITIAL': {\n 'name': _('Create initial stock'),\n 'description': _('Create initial stock on part creation'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_INTERNAL_PRICE': {\n 'name': _('Internal Prices'),\n 'description': _('Enable internal prices for parts'),\n 'default': False,\n 'validator': bool\n },\n\n 'PART_BOM_USE_INTERNAL_PRICE': {\n 'name': _('Internal Price as BOM-Price'),\n 'description': _('Use the internal price (if set) in BOM-price calculations'),\n 'default': False,\n 'validator': bool\n },\n\n 'REPORT_DEBUG_MODE': {\n 'name': _('Debug Mode'),\n 'description': _('Generate reports in debug mode (HTML output)'),\n 'default': False,\n 'validator': bool,\n },\n\n 'REPORT_DEFAULT_PAGE_SIZE': {\n 'name': _('Page Size'),\n 'description': _('Default page size for PDF reports'),\n 'default': 'A4',\n 'choices': [\n ('A4', 'A4'),\n ('Legal', 'Legal'),\n ('Letter', 'Letter')\n ],\n },\n\n 'REPORT_ENABLE_TEST_REPORT': {\n 'name': _('Test Reports'),\n 'description': _('Enable generation of test reports'),\n 'default': True,\n 'validator': bool,\n },\n\n 'SEARCH_PREVIEW_RESULTS': {\n 'name': _('Search Preview Results'),\n 'description': _('Number of results to show in search preview window'),\n 'default': 10,\n 'validator': [int, MinValueValidator(1)]\n },\n\n 'STOCK_ENABLE_EXPIRY': {\n 'name': _('Stock Expiry'),\n 'description': _('Enable stock expiry functionality'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_ALLOW_EXPIRED_SALE': {\n 'name': _('Sell Expired Stock'),\n 'description': _('Allow sale of expired stock'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_STALE_DAYS': {\n 'name': _('Stock Stale Time'),\n 'description': _('Number of days stock items are considered stale before expiring'),\n 'default': 0,\n 'units': _('days'),\n 'validator': [int],\n },\n\n 'STOCK_ALLOW_EXPIRED_BUILD': {\n 'name': _('Build Expired Stock'),\n 'description': _('Allow building with expired stock'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_OWNERSHIP_CONTROL': {\n 'name': _('Stock Ownership Control'),\n 'description': _('Enable ownership control over stock locations and items'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_GROUP_BY_PART': {\n 'name': _('Group by Part'),\n 'description': _('Group stock items by part reference in table views'),\n 'default': True,\n 'validator': bool,\n },\n\n 'STOCK_RECENT_COUNT': {\n 'name': _('Recent Stock Count'),\n 'description': _('Number of recent stock items to display on index page'),\n 'default': 10,\n 'validator': [int, MinValueValidator(1)]\n },\n\n 'BUILDORDER_REFERENCE_PREFIX': {\n 'name': _('Build Order Reference Prefix'),\n 'description': _('Prefix value for build order reference'),\n 'default': 'BO',\n },\n\n 'BUILDORDER_REFERENCE_REGEX': {\n 'name': _('Build Order Reference Regex'),\n 'description': _('Regular expression pattern for matching build order reference')\n },\n\n 'SALESORDER_REFERENCE_PREFIX': {\n 'name': _('Sales Order Reference Prefix'),\n 'description': _('Prefix value for sales order reference'),\n 'default': 'SO',\n },\n\n 'PURCHASEORDER_REFERENCE_PREFIX': {\n 'name': _('Purchase Order Reference Prefix'),\n 'description': _('Prefix value for purchase order reference'),\n 'default': 'PO',\n },\n }\n\n class Meta:\n verbose_name = \"InvenTree Setting\"\n verbose_name_plural = \"InvenTree Settings\"\n\n key = models.CharField(\n max_length=50,\n blank=False,\n unique=True,\n help_text=_('Settings key (must be unique - case insensitive'),\n )\n\n\nclass InvenTreeUserSetting(BaseInvenTreeSetting):\n \"\"\"\n An InvenTreeSetting object with a usercontext\n \"\"\"\n\n GLOBAL_SETTINGS = {\n 'HOMEPAGE_PART_STARRED': {\n 'name': _('Show starred parts'),\n 'description': _('Show starred parts on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_PART_LATEST': {\n 'name': _('Show latest parts'),\n 'description': _('Show latest parts on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_BOM_VALIDATION': {\n 'name': _('Show unvalidated BOMs'),\n 'description': _('Show BOMs that await validation on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_RECENT': {\n 'name': _('Show recent stock changes'),\n 'description': _('Show recently changed stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_LOW': {\n 'name': _('Show low stock'),\n 'description': _('Show low stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_DEPLETED': {\n 'name': _('Show depleted stock'),\n 'description': _('Show depleted stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_NEEDED': {\n 'name': _('Show needed stock'),\n 'description': _('Show stock items needed for builds on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_EXPIRED': {\n 'name': _('Show expired stock'),\n 'description': _('Show expired stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_STALE': {\n 'name': _('Show stale stock'),\n 'description': _('Show stale stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_BUILD_PENDING': {\n 'name': _('Show pending builds'),\n 'description': _('Show pending builds on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_BUILD_OVERDUE': {\n 'name': _('Show overdue builds'),\n 'description': _('Show overdue builds on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_PO_OUTSTANDING': {\n 'name': _('Show outstanding POs'),\n 'description': _('Show outstanding POs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_PO_OVERDUE': {\n 'name': _('Show overdue POs'),\n 'description': _('Show overdue POs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_SO_OUTSTANDING': {\n 'name': _('Show outstanding SOs'),\n 'description': _('Show outstanding SOs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_SO_OVERDUE': {\n 'name': _('Show overdue SOs'),\n 'description': _('Show overdue SOs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n }\n\n class Meta:\n verbose_name = \"InvenTree User Setting\"\n verbose_name_plural = \"InvenTree User Settings\"\n constraints = [\n models.UniqueConstraint(fields=['key', 'user'], name='unique key and user')\n ]\n\n key = models.CharField(\n max_length=50,\n blank=False,\n unique=False,\n help_text=_('Settings key (must be unique - case insensitive'),\n )\n\n user = models.ForeignKey(\n User,\n on_delete=models.CASCADE,\n blank=True, null=True,\n verbose_name=_('User'),\n help_text=_('User'),\n )\n\n @classmethod\n def get_setting_object(cls, key, user):\n return super().get_setting_object(key, user=user)\n\n def validate_unique(self, exclude=None):\n return super().validate_unique(exclude=exclude, user=self.user)\n\n @classmethod\n def get_filters(cls, key, **kwargs):\n return {'key__iexact': key, 'user__id__iexact': kwargs['user'].id}\n\n\nclass PriceBreak(models.Model):\n \"\"\"\n Represents a PriceBreak model\n \"\"\"\n\n class Meta:\n abstract = True\n\n quantity = InvenTree.fields.RoundingDecimalField(\n max_digits=15,\n decimal_places=5,\n default=1,\n validators=[MinValueValidator(1)],\n verbose_name=_('Quantity'),\n help_text=_('Price break quantity'),\n )\n\n price = InvenTree.fields.InvenTreeModelMoneyField(\n max_digits=19,\n decimal_places=4,\n null=True,\n verbose_name=_('Price'),\n help_text=_('Unit price at specified quantity'),\n )\n\n def convert_to(self, currency_code):\n \"\"\"\n Convert the unit-price at this price break to the specified currency code.\n\n Args:\n currency_code - The currency code to convert to (e.g \"USD\" or \"AUD\")\n \"\"\"\n\n try:\n converted = convert_money(self.price, currency_code)\n except MissingRate:\n print(f\"WARNING: No currency conversion rate available for {self.price_currency} -> {currency_code}\")\n return self.price.amount\n\n return converted.amount\n\n\ndef get_price(instance, quantity, moq=True, multiples=True, currency=None, break_name: str = 'price_breaks'):\n \"\"\" Calculate the price based on quantity price breaks.\n\n - Don't forget to add in flat-fee cost (base_cost field)\n - If MOQ (minimum order quantity) is required, bump quantity\n - If order multiples are to be observed, then we need to calculate based on that, too\n \"\"\"\n from common.settings import currency_code_default\n\n if hasattr(instance, break_name):\n price_breaks = getattr(instance, break_name).all()\n else:\n price_breaks = []\n\n # No price break information available?\n if len(price_breaks) == 0:\n return None\n\n # Check if quantity is fraction and disable multiples\n multiples = (quantity % 1 == 0)\n\n # Order multiples\n if multiples:\n quantity = int(math.ceil(quantity / instance.multiple) * instance.multiple)\n\n pb_found = False\n pb_quantity = -1\n pb_cost = 0.0\n\n if currency is None:\n # Default currency selection\n currency = currency_code_default()\n\n pb_min = None\n for pb in price_breaks:\n # Store smallest price break\n if not pb_min:\n pb_min = pb\n\n # Ignore this pricebreak (quantity is too high)\n if pb.quantity > quantity:\n continue\n\n pb_found = True\n\n # If this price-break quantity is the largest so far, use it!\n if pb.quantity > pb_quantity:\n pb_quantity = pb.quantity\n\n # Convert everything to the selected currency\n pb_cost = pb.convert_to(currency)\n\n # Use smallest price break\n if not pb_found and pb_min:\n # Update price break information\n pb_quantity = pb_min.quantity\n pb_cost = pb_min.convert_to(currency)\n # Trigger cost calculation using smallest price break\n pb_found = True\n\n # Convert quantity to decimal.Decimal format\n quantity = decimal.Decimal(f'{quantity}')\n\n if pb_found:\n cost = pb_cost * quantity\n return InvenTree.helpers.normalize(cost + instance.base_cost)\n else:\n return None\n\n\nclass ColorTheme(models.Model):\n \"\"\" Color Theme Setting \"\"\"\n\n default_color_theme = ('', _('Default'))\n\n name = models.CharField(max_length=20,\n default='',\n blank=True)\n\n user = models.CharField(max_length=150,\n unique=True)\n\n @classmethod\n def get_color_themes_choices(cls):\n \"\"\" Get all color themes from static folder \"\"\"\n\n # Get files list from css/color-themes/ folder\n files_list = []\n for file in os.listdir(settings.STATIC_COLOR_THEMES_DIR):\n files_list.append(os.path.splitext(file))\n\n # Get color themes choices (CSS sheets)\n choices = [(file_name.lower(), _(file_name.replace('-', ' ').title()))\n for file_name, file_ext in files_list\n if file_ext == '.css' and file_name.lower() != 'default']\n\n # Add default option as empty option\n choices.insert(0, cls.default_color_theme)\n\n return choices\n\n @classmethod\n def is_valid_choice(cls, user_color_theme):\n \"\"\" Check if color theme is valid choice \"\"\"\n try:\n user_color_theme_name = user_color_theme.name\n except AttributeError:\n return False\n\n for color_theme in cls.get_color_themes_choices():\n if user_color_theme_name == color_theme[0]:\n return True\n\n return False\n", "path": "InvenTree/common/models.py" } ]
[ { "content": "\"\"\"\nCommon database model definitions.\nThese models are 'generic' and do not fit a particular business logic object.\n\"\"\"\n\n# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nimport os\nimport decimal\nimport math\n\nfrom django.db import models, transaction\nfrom django.contrib.auth.models import User\nfrom django.db.utils import IntegrityError, OperationalError\nfrom django.conf import settings\n\nfrom djmoney.settings import CURRENCY_CHOICES\nfrom djmoney.contrib.exchange.models import convert_money\nfrom djmoney.contrib.exchange.exceptions import MissingRate\n\nfrom django.utils.translation import ugettext_lazy as _\nfrom django.core.validators import MinValueValidator, URLValidator\nfrom django.core.exceptions import ValidationError\n\nimport InvenTree.helpers\nimport InvenTree.fields\n\n\nclass BaseInvenTreeSetting(models.Model):\n \"\"\"\n An base InvenTreeSetting object is a key:value pair used for storing\n single values (e.g. one-off settings values).\n \"\"\"\n\n GLOBAL_SETTINGS = {}\n\n class Meta:\n abstract = True\n\n @classmethod\n def get_setting_name(cls, key):\n \"\"\"\n Return the name of a particular setting.\n\n If it does not exist, return an empty string.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('name', '')\n else:\n return ''\n\n @classmethod\n def get_setting_description(cls, key):\n \"\"\"\n Return the description for a particular setting.\n\n If it does not exist, return an empty string.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('description', '')\n else:\n return ''\n\n @classmethod\n def get_setting_units(cls, key):\n \"\"\"\n Return the units for a particular setting.\n\n If it does not exist, return an empty string.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('units', '')\n else:\n return ''\n\n @classmethod\n def get_setting_validator(cls, key):\n \"\"\"\n Return the validator for a particular setting.\n\n If it does not exist, return None\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('validator', None)\n else:\n return None\n\n @classmethod\n def get_setting_default(cls, key):\n \"\"\"\n Return the default value for a particular setting.\n\n If it does not exist, return an empty string\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n return setting.get('default', '')\n else:\n return ''\n\n @classmethod\n def get_setting_choices(cls, key):\n \"\"\"\n Return the validator choices available for a particular setting.\n \"\"\"\n\n key = str(key).strip().upper()\n\n if key in cls.GLOBAL_SETTINGS:\n setting = cls.GLOBAL_SETTINGS[key]\n choices = setting.get('choices', None)\n else:\n choices = None\n\n \"\"\"\n TODO:\n if type(choices) is function:\n # Evaluate the function (we expect it will return a list of tuples...)\n return choices()\n \"\"\"\n\n return choices\n\n @classmethod\n def get_filters(cls, key, **kwargs):\n return {'key__iexact': key}\n\n @classmethod\n def get_setting_object(cls, key, **kwargs):\n \"\"\"\n Return an InvenTreeSetting object matching the given key.\n\n - Key is case-insensitive\n - Returns None if no match is made\n \"\"\"\n\n key = str(key).strip().upper()\n\n try:\n setting = cls.objects.filter(**cls.get_filters(key, **kwargs)).first()\n except (ValueError, cls.DoesNotExist):\n setting = None\n except (IntegrityError, OperationalError):\n setting = None\n\n # Setting does not exist! (Try to create it)\n if not setting:\n\n setting = cls(key=key, value=cls.get_setting_default(key), **kwargs)\n\n try:\n # Wrap this statement in \"atomic\", so it can be rolled back if it fails\n with transaction.atomic():\n setting.save()\n except (IntegrityError, OperationalError):\n # It might be the case that the database isn't created yet\n pass\n\n return setting\n\n @classmethod\n def get_setting_pk(cls, key):\n \"\"\"\n Return the primary-key value for a given setting.\n\n If the setting does not exist, return None\n \"\"\"\n\n setting = cls.get_setting_object(cls)\n\n if setting:\n return setting.pk\n else:\n return None\n\n @classmethod\n def get_setting(cls, key, backup_value=None, **kwargs):\n \"\"\"\n Get the value of a particular setting.\n If it does not exist, return the backup value (default = None)\n \"\"\"\n\n # If no backup value is specified, atttempt to retrieve a \"default\" value\n if backup_value is None:\n backup_value = cls.get_setting_default(key)\n\n setting = cls.get_setting_object(key, **kwargs)\n\n if setting:\n value = setting.value\n\n # If the particular setting is defined as a boolean, cast the value to a boolean\n if setting.is_bool():\n value = InvenTree.helpers.str2bool(value)\n\n if setting.is_int():\n try:\n value = int(value)\n except (ValueError, TypeError):\n value = backup_value\n\n else:\n value = backup_value\n\n return value\n\n @classmethod\n def set_setting(cls, key, value, change_user, create=True, **kwargs):\n \"\"\"\n Set the value of a particular setting.\n If it does not exist, option to create it.\n\n Args:\n key: settings key\n value: New value\n change_user: User object (must be staff member to update a core setting)\n create: If True, create a new setting if the specified key does not exist.\n \"\"\"\n\n if change_user is not None and not change_user.is_staff:\n return\n\n try:\n setting = cls.objects.get(**cls.get_filters(key, **kwargs))\n except cls.DoesNotExist:\n\n if create:\n setting = cls(key=key, **kwargs)\n else:\n return\n\n # Enforce standard boolean representation\n if setting.is_bool():\n value = InvenTree.helpers.str2bool(value)\n\n setting.value = str(value)\n setting.save()\n\n key = models.CharField(max_length=50, blank=False, unique=False, help_text=_('Settings key (must be unique - case insensitive'))\n\n value = models.CharField(max_length=200, blank=True, unique=False, help_text=_('Settings value'))\n\n @property\n def name(self):\n return self.__class__.get_setting_name(self.key)\n\n @property\n def default_value(self):\n return self.__class__.get_setting_default(self.key)\n\n @property\n def description(self):\n return self.__class__.get_setting_description(self.key)\n\n @property\n def units(self):\n return self.__class__.get_setting_units(self.key)\n\n def clean(self):\n \"\"\"\n If a validator (or multiple validators) are defined for a particular setting key,\n run them against the 'value' field.\n \"\"\"\n\n super().clean()\n\n validator = self.__class__.get_setting_validator(self.key)\n\n if self.is_bool():\n self.value = InvenTree.helpers.str2bool(self.value)\n\n if self.is_int():\n try:\n self.value = int(self.value)\n except (ValueError):\n raise ValidationError(_('Must be an integer value'))\n\n if validator is not None:\n self.run_validator(validator)\n\n def run_validator(self, validator):\n \"\"\"\n Run a validator against the 'value' field for this InvenTreeSetting object.\n \"\"\"\n\n if validator is None:\n return\n\n value = self.value\n\n # Boolean validator\n if self.is_bool():\n # Value must \"look like\" a boolean value\n if InvenTree.helpers.is_bool(value):\n # Coerce into either \"True\" or \"False\"\n value = InvenTree.helpers.str2bool(value)\n else:\n raise ValidationError({\n 'value': _('Value must be a boolean value')\n })\n\n # Integer validator\n if self.is_int():\n\n try:\n # Coerce into an integer value\n value = int(value)\n except (ValueError, TypeError):\n raise ValidationError({\n 'value': _('Value must be an integer value'),\n })\n\n # If a list of validators is supplied, iterate through each one\n if type(validator) in [list, tuple]:\n for v in validator:\n self.run_validator(v)\n\n if callable(validator):\n # We can accept function validators with a single argument\n validator(self.value)\n\n def validate_unique(self, exclude=None, **kwargs):\n \"\"\" Ensure that the key:value pair is unique.\n In addition to the base validators, this ensures that the 'key'\n is unique, using a case-insensitive comparison.\n \"\"\"\n\n super().validate_unique(exclude)\n\n try:\n setting = self.__class__.objects.exclude(id=self.id).filter(**self.get_filters(self.key, **kwargs))\n if setting.exists():\n raise ValidationError({'key': _('Key string must be unique')})\n except self.DoesNotExist:\n pass\n\n def choices(self):\n \"\"\"\n Return the available choices for this setting (or None if no choices are defined)\n \"\"\"\n\n return self.__class__.get_setting_choices(self.key)\n\n def is_bool(self):\n \"\"\"\n Check if this setting is required to be a boolean value\n \"\"\"\n\n validator = self.__class__.get_setting_validator(self.key)\n\n if validator == bool:\n return True\n\n if type(validator) in [list, tuple]:\n for v in validator:\n if v == bool:\n return True\n\n def as_bool(self):\n \"\"\"\n Return the value of this setting converted to a boolean value.\n\n Warning: Only use on values where is_bool evaluates to true!\n \"\"\"\n\n return InvenTree.helpers.str2bool(self.value)\n\n def is_int(self):\n \"\"\"\n Check if the setting is required to be an integer value:\n \"\"\"\n\n validator = self.__class__.get_setting_validator(self.key)\n\n if validator == int:\n return True\n\n if type(validator) in [list, tuple]:\n for v in validator:\n if v == int:\n return True\n\n return False\n\n def as_int(self):\n \"\"\"\n Return the value of this setting converted to a boolean value.\n\n If an error occurs, return the default value\n \"\"\"\n\n try:\n value = int(self.value)\n except (ValueError, TypeError):\n value = self.default_value()\n\n return value\n\n\nclass InvenTreeSetting(BaseInvenTreeSetting):\n \"\"\"\n An InvenTreeSetting object is a key:value pair used for storing\n single values (e.g. one-off settings values).\n\n The class provides a way of retrieving the value for a particular key,\n even if that key does not exist.\n \"\"\"\n\n \"\"\"\n Dict of all global settings values:\n\n The key of each item is the name of the value as it appears in the database.\n\n Each global setting has the following parameters:\n\n - name: Translatable string name of the setting (required)\n - description: Translatable string description of the setting (required)\n - default: Default value (optional)\n - units: Units of the particular setting (optional)\n - validator: Validation function for the setting (optional)\n\n The keys must be upper-case\n \"\"\"\n\n GLOBAL_SETTINGS = {\n\n 'INVENTREE_INSTANCE': {\n 'name': _('InvenTree Instance Name'),\n 'default': 'InvenTree server',\n 'description': _('String descriptor for the server instance'),\n },\n\n 'INVENTREE_INSTANCE_TITLE': {\n 'name': _('Use instance name'),\n 'description': _('Use the instance name in the title-bar'),\n 'validator': bool,\n 'default': False,\n },\n\n 'INVENTREE_COMPANY_NAME': {\n 'name': _('Company name'),\n 'description': _('Internal company name'),\n 'default': 'My company name',\n },\n\n 'INVENTREE_BASE_URL': {\n 'name': _('Base URL'),\n 'description': _('Base URL for server instance'),\n 'validator': URLValidator(),\n 'default': '',\n },\n\n 'INVENTREE_DEFAULT_CURRENCY': {\n 'name': _('Default Currency'),\n 'description': _('Default currency'),\n 'default': 'USD',\n 'choices': CURRENCY_CHOICES,\n },\n\n 'INVENTREE_DOWNLOAD_FROM_URL': {\n 'name': _('Download from URL'),\n 'description': _('Allow download of remote images and files from external URL'),\n 'validator': bool,\n 'default': False,\n },\n\n 'BARCODE_ENABLE': {\n 'name': _('Barcode Support'),\n 'description': _('Enable barcode scanner support'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_IPN_REGEX': {\n 'name': _('IPN Regex'),\n 'description': _('Regular expression pattern for matching Part IPN')\n },\n\n 'PART_ALLOW_DUPLICATE_IPN': {\n 'name': _('Allow Duplicate IPN'),\n 'description': _('Allow multiple parts to share the same IPN'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_ALLOW_EDIT_IPN': {\n 'name': _('Allow Editing IPN'),\n 'description': _('Allow changing the IPN value while editing a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_COPY_BOM': {\n 'name': _('Copy Part BOM Data'),\n 'description': _('Copy BOM data by default when duplicating a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_COPY_PARAMETERS': {\n 'name': _('Copy Part Parameter Data'),\n 'description': _('Copy parameter data by default when duplicating a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_COPY_TESTS': {\n 'name': _('Copy Part Test Data'),\n 'description': _('Copy test data by default when duplicating a part'),\n 'default': True,\n 'validator': bool\n },\n\n 'PART_CATEGORY_PARAMETERS': {\n 'name': _('Copy Category Parameter Templates'),\n 'description': _('Copy category parameter templates when creating a part'),\n 'default': True,\n 'validator': bool\n },\n\n 'PART_RECENT_COUNT': {\n 'name': _('Recent Part Count'),\n 'description': _('Number of recent parts to display on index page'),\n 'default': 10,\n 'validator': [int, MinValueValidator(1)]\n },\n\n 'PART_TEMPLATE': {\n 'name': _('Template'),\n 'description': _('Parts are templates by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_ASSEMBLY': {\n 'name': _('Assembly'),\n 'description': _('Parts can be assembled from other components by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_COMPONENT': {\n 'name': _('Component'),\n 'description': _('Parts can be used as sub-components by default'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_PURCHASEABLE': {\n 'name': _('Purchaseable'),\n 'description': _('Parts are purchaseable by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_SALABLE': {\n 'name': _('Salable'),\n 'description': _('Parts are salable by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_TRACKABLE': {\n 'name': _('Trackable'),\n 'description': _('Parts are trackable by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_VIRTUAL': {\n 'name': _('Virtual'),\n 'description': _('Parts are virtual by default'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_SHOW_QUANTITY_IN_FORMS': {\n 'name': _('Show Quantity in Forms'),\n 'description': _('Display available part quantity in some forms'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_SHOW_IMPORT': {\n 'name': _('Show Import in Views'),\n 'description': _('Display the import wizard in some part views'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_SHOW_PRICE_IN_FORMS': {\n 'name': _('Show Price in Forms'),\n 'description': _('Display part price in some forms'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_SHOW_RELATED': {\n 'name': _('Show related parts'),\n 'description': _('Display related parts for a part'),\n 'default': True,\n 'validator': bool,\n },\n\n 'PART_CREATE_INITIAL': {\n 'name': _('Create initial stock'),\n 'description': _('Create initial stock on part creation'),\n 'default': False,\n 'validator': bool,\n },\n\n 'PART_INTERNAL_PRICE': {\n 'name': _('Internal Prices'),\n 'description': _('Enable internal prices for parts'),\n 'default': False,\n 'validator': bool\n },\n\n 'PART_BOM_USE_INTERNAL_PRICE': {\n 'name': _('Internal Price as BOM-Price'),\n 'description': _('Use the internal price (if set) in BOM-price calculations'),\n 'default': False,\n 'validator': bool\n },\n\n 'REPORT_DEBUG_MODE': {\n 'name': _('Debug Mode'),\n 'description': _('Generate reports in debug mode (HTML output)'),\n 'default': False,\n 'validator': bool,\n },\n\n 'REPORT_DEFAULT_PAGE_SIZE': {\n 'name': _('Page Size'),\n 'description': _('Default page size for PDF reports'),\n 'default': 'A4',\n 'choices': [\n ('A4', 'A4'),\n ('Legal', 'Legal'),\n ('Letter', 'Letter')\n ],\n },\n\n 'REPORT_ENABLE_TEST_REPORT': {\n 'name': _('Test Reports'),\n 'description': _('Enable generation of test reports'),\n 'default': True,\n 'validator': bool,\n },\n\n 'SEARCH_PREVIEW_RESULTS': {\n 'name': _('Search Preview Results'),\n 'description': _('Number of results to show in search preview window'),\n 'default': 10,\n 'validator': [int, MinValueValidator(1)]\n },\n\n 'STOCK_ENABLE_EXPIRY': {\n 'name': _('Stock Expiry'),\n 'description': _('Enable stock expiry functionality'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_ALLOW_EXPIRED_SALE': {\n 'name': _('Sell Expired Stock'),\n 'description': _('Allow sale of expired stock'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_STALE_DAYS': {\n 'name': _('Stock Stale Time'),\n 'description': _('Number of days stock items are considered stale before expiring'),\n 'default': 0,\n 'units': _('days'),\n 'validator': [int],\n },\n\n 'STOCK_ALLOW_EXPIRED_BUILD': {\n 'name': _('Build Expired Stock'),\n 'description': _('Allow building with expired stock'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_OWNERSHIP_CONTROL': {\n 'name': _('Stock Ownership Control'),\n 'description': _('Enable ownership control over stock locations and items'),\n 'default': False,\n 'validator': bool,\n },\n\n 'STOCK_GROUP_BY_PART': {\n 'name': _('Group by Part'),\n 'description': _('Group stock items by part reference in table views'),\n 'default': True,\n 'validator': bool,\n },\n\n 'STOCK_RECENT_COUNT': {\n 'name': _('Recent Stock Count'),\n 'description': _('Number of recent stock items to display on index page'),\n 'default': 10,\n 'validator': [int, MinValueValidator(1)]\n },\n\n 'BUILDORDER_REFERENCE_PREFIX': {\n 'name': _('Build Order Reference Prefix'),\n 'description': _('Prefix value for build order reference'),\n 'default': 'BO',\n },\n\n 'BUILDORDER_REFERENCE_REGEX': {\n 'name': _('Build Order Reference Regex'),\n 'description': _('Regular expression pattern for matching build order reference')\n },\n\n 'SALESORDER_REFERENCE_PREFIX': {\n 'name': _('Sales Order Reference Prefix'),\n 'description': _('Prefix value for sales order reference'),\n 'default': 'SO',\n },\n\n 'PURCHASEORDER_REFERENCE_PREFIX': {\n 'name': _('Purchase Order Reference Prefix'),\n 'description': _('Prefix value for purchase order reference'),\n 'default': 'PO',\n },\n }\n\n class Meta:\n verbose_name = \"InvenTree Setting\"\n verbose_name_plural = \"InvenTree Settings\"\n\n key = models.CharField(\n max_length=50,\n blank=False,\n unique=True,\n help_text=_('Settings key (must be unique - case insensitive'),\n )\n\n\nclass InvenTreeUserSetting(BaseInvenTreeSetting):\n \"\"\"\n An InvenTreeSetting object with a usercontext\n \"\"\"\n\n GLOBAL_SETTINGS = {\n 'HOMEPAGE_PART_STARRED': {\n 'name': _('Show starred parts'),\n 'description': _('Show starred parts on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_PART_LATEST': {\n 'name': _('Show latest parts'),\n 'description': _('Show latest parts on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_BOM_VALIDATION': {\n 'name': _('Show unvalidated BOMs'),\n 'description': _('Show BOMs that await validation on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_RECENT': {\n 'name': _('Show recent stock changes'),\n 'description': _('Show recently changed stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_LOW': {\n 'name': _('Show low stock'),\n 'description': _('Show low stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_DEPLETED': {\n 'name': _('Show depleted stock'),\n 'description': _('Show depleted stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_NEEDED': {\n 'name': _('Show needed stock'),\n 'description': _('Show stock items needed for builds on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_EXPIRED': {\n 'name': _('Show expired stock'),\n 'description': _('Show expired stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_STOCK_STALE': {\n 'name': _('Show stale stock'),\n 'description': _('Show stale stock items on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_BUILD_PENDING': {\n 'name': _('Show pending builds'),\n 'description': _('Show pending builds on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_BUILD_OVERDUE': {\n 'name': _('Show overdue builds'),\n 'description': _('Show overdue builds on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_PO_OUTSTANDING': {\n 'name': _('Show outstanding POs'),\n 'description': _('Show outstanding POs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_PO_OVERDUE': {\n 'name': _('Show overdue POs'),\n 'description': _('Show overdue POs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_SO_OUTSTANDING': {\n 'name': _('Show outstanding SOs'),\n 'description': _('Show outstanding SOs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n 'HOMEPAGE_SO_OVERDUE': {\n 'name': _('Show overdue SOs'),\n 'description': _('Show overdue SOs on the homepage'),\n 'default': True,\n 'validator': bool,\n },\n }\n\n class Meta:\n verbose_name = \"InvenTree User Setting\"\n verbose_name_plural = \"InvenTree User Settings\"\n constraints = [\n models.UniqueConstraint(fields=['key', 'user'], name='unique key and user')\n ]\n\n key = models.CharField(\n max_length=50,\n blank=False,\n unique=False,\n help_text=_('Settings key (must be unique - case insensitive'),\n )\n\n user = models.ForeignKey(\n User,\n on_delete=models.CASCADE,\n blank=True, null=True,\n verbose_name=_('User'),\n help_text=_('User'),\n )\n\n @classmethod\n def get_setting_object(cls, key, user):\n return super().get_setting_object(key, user=user)\n\n def validate_unique(self, exclude=None):\n return super().validate_unique(exclude=exclude, user=self.user)\n\n @classmethod\n def get_filters(cls, key, **kwargs):\n return {'key__iexact': key, 'user__id': kwargs['user'].id}\n\n\nclass PriceBreak(models.Model):\n \"\"\"\n Represents a PriceBreak model\n \"\"\"\n\n class Meta:\n abstract = True\n\n quantity = InvenTree.fields.RoundingDecimalField(\n max_digits=15,\n decimal_places=5,\n default=1,\n validators=[MinValueValidator(1)],\n verbose_name=_('Quantity'),\n help_text=_('Price break quantity'),\n )\n\n price = InvenTree.fields.InvenTreeModelMoneyField(\n max_digits=19,\n decimal_places=4,\n null=True,\n verbose_name=_('Price'),\n help_text=_('Unit price at specified quantity'),\n )\n\n def convert_to(self, currency_code):\n \"\"\"\n Convert the unit-price at this price break to the specified currency code.\n\n Args:\n currency_code - The currency code to convert to (e.g \"USD\" or \"AUD\")\n \"\"\"\n\n try:\n converted = convert_money(self.price, currency_code)\n except MissingRate:\n print(f\"WARNING: No currency conversion rate available for {self.price_currency} -> {currency_code}\")\n return self.price.amount\n\n return converted.amount\n\n\ndef get_price(instance, quantity, moq=True, multiples=True, currency=None, break_name: str = 'price_breaks'):\n \"\"\" Calculate the price based on quantity price breaks.\n\n - Don't forget to add in flat-fee cost (base_cost field)\n - If MOQ (minimum order quantity) is required, bump quantity\n - If order multiples are to be observed, then we need to calculate based on that, too\n \"\"\"\n from common.settings import currency_code_default\n\n if hasattr(instance, break_name):\n price_breaks = getattr(instance, break_name).all()\n else:\n price_breaks = []\n\n # No price break information available?\n if len(price_breaks) == 0:\n return None\n\n # Check if quantity is fraction and disable multiples\n multiples = (quantity % 1 == 0)\n\n # Order multiples\n if multiples:\n quantity = int(math.ceil(quantity / instance.multiple) * instance.multiple)\n\n pb_found = False\n pb_quantity = -1\n pb_cost = 0.0\n\n if currency is None:\n # Default currency selection\n currency = currency_code_default()\n\n pb_min = None\n for pb in price_breaks:\n # Store smallest price break\n if not pb_min:\n pb_min = pb\n\n # Ignore this pricebreak (quantity is too high)\n if pb.quantity > quantity:\n continue\n\n pb_found = True\n\n # If this price-break quantity is the largest so far, use it!\n if pb.quantity > pb_quantity:\n pb_quantity = pb.quantity\n\n # Convert everything to the selected currency\n pb_cost = pb.convert_to(currency)\n\n # Use smallest price break\n if not pb_found and pb_min:\n # Update price break information\n pb_quantity = pb_min.quantity\n pb_cost = pb_min.convert_to(currency)\n # Trigger cost calculation using smallest price break\n pb_found = True\n\n # Convert quantity to decimal.Decimal format\n quantity = decimal.Decimal(f'{quantity}')\n\n if pb_found:\n cost = pb_cost * quantity\n return InvenTree.helpers.normalize(cost + instance.base_cost)\n else:\n return None\n\n\nclass ColorTheme(models.Model):\n \"\"\" Color Theme Setting \"\"\"\n\n default_color_theme = ('', _('Default'))\n\n name = models.CharField(max_length=20,\n default='',\n blank=True)\n\n user = models.CharField(max_length=150,\n unique=True)\n\n @classmethod\n def get_color_themes_choices(cls):\n \"\"\" Get all color themes from static folder \"\"\"\n\n # Get files list from css/color-themes/ folder\n files_list = []\n for file in os.listdir(settings.STATIC_COLOR_THEMES_DIR):\n files_list.append(os.path.splitext(file))\n\n # Get color themes choices (CSS sheets)\n choices = [(file_name.lower(), _(file_name.replace('-', ' ').title()))\n for file_name, file_ext in files_list\n if file_ext == '.css' and file_name.lower() != 'default']\n\n # Add default option as empty option\n choices.insert(0, cls.default_color_theme)\n\n return choices\n\n @classmethod\n def is_valid_choice(cls, user_color_theme):\n \"\"\" Check if color theme is valid choice \"\"\"\n try:\n user_color_theme_name = user_color_theme.name\n except AttributeError:\n return False\n\n for color_theme in cls.get_color_themes_choices():\n if user_color_theme_name == color_theme[0]:\n return True\n\n return False\n", "path": "InvenTree/common/models.py" } ]
diff --git a/InvenTree/common/models.py b/InvenTree/common/models.py index b97bb539e346..ec755aad5825 100644 --- a/InvenTree/common/models.py +++ b/InvenTree/common/models.py @@ -890,7 +890,7 @@ def validate_unique(self, exclude=None): @classmethod def get_filters(cls, key, **kwargs): - return {'key__iexact': key, 'user__id__iexact': kwargs['user'].id} + return {'key__iexact': key, 'user__id': kwargs['user'].id} class PriceBreak(models.Model):
[BUG] Login Error I think this is caused by #1859 @matmair When I try to login I get the error below. Strangely this is happening only with PostGreSQL... (SQLite does not show this error) ![image](https://user-images.githubusercontent.com/4020546/127020061-ca5fec2c-26c4-447a-8e38-002e260d64ed.png) Traceback: ``` bash The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/core/handlers/exception.py", line 47, in inner response = get_response(request) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/core/handlers/base.py", line 204, in _get_response response = response.render() File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/response.py", line 105, in render self.content = self.rendered_content File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/response.py", line 83, in rendered_content return template.render(context, self._request) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/backends/django.py", line 61, in render return self.template.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 170, in render return self._render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 162, in _render return self.nodelist.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 938, in render bit = node.render_annotated(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 905, in render_annotated return self.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/loader_tags.py", line 150, in render return compiled_parent._render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 162, in _render return self.nodelist.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 938, in render bit = node.render_annotated(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 905, in render_annotated return self.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/loader_tags.py", line 62, in render result = block.nodelist.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 938, in render bit = node.render_annotated(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/base.py", line 905, in render_annotated return self.render(context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/template/library.py", line 192, in render output = self.func(*resolved_args, **resolved_kwargs) File "/home/francois/Desktop/github/InvenTree/InvenTree/part/templatetags/inventree_extras.py", line 206, in settings_value return InvenTreeUserSetting.get_setting(key, user=kwargs['user']) File "/home/francois/Desktop/github/InvenTree/InvenTree/common/models.py", line 207, in get_setting setting = cls.get_setting_object(key, **kwargs) File "/home/francois/Desktop/github/InvenTree/InvenTree/common/models.py", line 886, in get_setting_object return super().get_setting_object(key, user=user) File "/home/francois/Desktop/github/InvenTree/InvenTree/common/models.py", line 160, in get_setting_object setting = cls.objects.filter(**cls.get_filters(key, **kwargs)).first() File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/models/query.py", line 674, in first for obj in (self if self.ordered else self.order_by('pk'))[:1]: File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/models/query.py", line 280, in __iter__ self._fetch_all() File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/models/query.py", line 1324, in _fetch_all self._result_cache = list(self._iterable_class(self)) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/models/query.py", line 51, in __iter__ results = compiler.execute_sql(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/models/sql/compiler.py", line 1175, in execute_sql cursor.execute(sql, params) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/backends/utils.py", line 98, in execute return super().execute(sql, params) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/backends/utils.py", line 66, in execute return self._execute_with_wrappers(sql, params, many=False, executor=self._execute) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/backends/utils.py", line 75, in _execute_with_wrappers return executor(sql, params, many, context) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute return self.cursor.execute(sql, params) File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/utils.py", line 90, in __exit__ raise dj_exc_value.with_traceback(traceback) from exc_value File "/home/francois/Desktop/github/InvenTree/env-inventree/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute return self.cursor.execute(sql, params) django.db.utils.ProgrammingError: function upper(integer) does not exist LINE 1: ...("common_inventreeusersetting"."user_id"::text) = UPPER(1)) ... ^ HINT: No function matches the given name and argument types. You might need to add explicit type casts. ```
Netflix__lemur-713
[ { "content": "\"\"\"\n.. module: lemur.schemas\n :platform: unix\n :copyright: (c) 2015 by Netflix Inc., see AUTHORS for more\n :license: Apache, see LICENSE for more details.\n\n.. moduleauthor:: Kevin Glisson <[email protected]>\n\n\"\"\"\nfrom sqlalchemy.orm.exc import NoResultFound\n\nfrom marshmallow import fields, post_load, pre_load, post_dump\nfrom marshmallow.exceptions import ValidationError\n\nfrom lemur.common import validators\nfrom lemur.common.schema import LemurSchema, LemurInputSchema, LemurOutputSchema\nfrom lemur.common.fields import KeyUsageExtension, ExtendedKeyUsageExtension, BasicConstraintsExtension, SubjectAlternativeNameExtension\n\nfrom lemur.plugins import plugins\nfrom lemur.plugins.utils import get_plugin_option\nfrom lemur.roles.models import Role\nfrom lemur.users.models import User\nfrom lemur.authorities.models import Authority\nfrom lemur.certificates.models import Certificate\nfrom lemur.destinations.models import Destination\nfrom lemur.notifications.models import Notification\n\n\ndef validate_options(options):\n \"\"\"\n Ensures that the plugin options are valid.\n :param options:\n :return:\n \"\"\"\n interval = get_plugin_option('interval', options)\n unit = get_plugin_option('unit', options)\n\n if interval == 'month':\n unit *= 30\n\n elif interval == 'week':\n unit *= 7\n\n if unit > 90:\n raise ValidationError('Notification cannot be more than 90 days into the future.')\n\n\ndef get_object_attribute(data, many=False):\n if many:\n ids = [d.get('id') for d in data]\n names = [d.get('name') for d in data]\n\n if None in ids:\n if None in names:\n raise ValidationError('Associated object require a name or id.')\n else:\n return 'name'\n return 'id'\n else:\n if data.get('id'):\n return 'id'\n elif data.get('name'):\n return 'name'\n else:\n raise ValidationError('Associated object require a name or id.')\n\n\ndef fetch_objects(model, data, many=False):\n attr = get_object_attribute(data, many=many)\n\n if many:\n values = [v[attr] for v in data]\n items = model.query.filter(getattr(model, attr).in_(values)).all()\n found = [getattr(i, attr) for i in items]\n diff = set(values).symmetric_difference(set(found))\n\n if diff:\n raise ValidationError('Unable to locate {model} with {attr} {diff}'.format(\n model=model,\n attr=attr,\n diff=\",\".join(list(diff))))\n\n return items\n\n else:\n try:\n return model.query.filter(getattr(model, attr) == data[attr]).one()\n except NoResultFound:\n raise ValidationError('Unable to find {model} with {attr}: {data}'.format(\n model=model,\n attr=attr,\n data=data[attr]))\n\n\nclass AssociatedAuthoritySchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Authority, data, many=many)\n\n\nclass AssociatedRoleSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Role, data, many=many)\n\n\nclass AssociatedDestinationSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Destination, data, many=many)\n\n\nclass AssociatedNotificationSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Notification, data, many=many)\n\n\nclass AssociatedCertificateSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Certificate, data, many=many)\n\n\nclass AssociatedUserSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(User, data, many=many)\n\n\nclass PluginInputSchema(LemurInputSchema):\n plugin_options = fields.List(fields.Dict(), validate=validate_options)\n slug = fields.String(required=True)\n title = fields.String()\n description = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n try:\n data['plugin_object'] = plugins.get(data['slug'])\n return data\n except Exception:\n raise ValidationError('Unable to find plugin: {0}'.format(data['slug']))\n\n\nclass PluginOutputSchema(LemurOutputSchema):\n id = fields.Integer()\n label = fields.String()\n description = fields.String()\n active = fields.Boolean()\n options = fields.List(fields.Dict(), dump_to='pluginOptions')\n slug = fields.String()\n title = fields.String()\n\n\nplugins_output_schema = PluginOutputSchema(many=True)\nplugin_output_schema = PluginOutputSchema\n\n\nclass BaseExtensionSchema(LemurSchema):\n @pre_load(pass_many=True)\n def preprocess(self, data, many):\n return self.under(data, many=many)\n\n @post_dump(pass_many=True)\n def post_process(self, data, many):\n if data:\n data = self.camel(data, many=many)\n return data\n\n\nclass AuthorityKeyIdentifierSchema(BaseExtensionSchema):\n use_key_identifier = fields.Boolean()\n use_authority_cert = fields.Boolean()\n\n\nclass CertificateInfoAccessSchema(BaseExtensionSchema):\n include_aia = fields.Boolean()\n\n @post_dump\n def handle_keys(self, data):\n return {'includeAIA': data['include_aia']}\n\n\nclass SubjectKeyIdentifierSchema(BaseExtensionSchema):\n include_ski = fields.Boolean()\n\n @post_dump\n def handle_keys(self, data):\n return {'includeSKI': data['include_ski']}\n\n\nclass CustomOIDSchema(BaseExtensionSchema):\n oid = fields.String()\n encoding = fields.String(validate=validators.encoding)\n value = fields.String()\n is_critical = fields.Boolean()\n\n\nclass NamesSchema(BaseExtensionSchema):\n names = SubjectAlternativeNameExtension()\n\n\nclass ExtensionSchema(BaseExtensionSchema):\n basic_constraints = BasicConstraintsExtension(missing={'ca': False})\n key_usage = KeyUsageExtension()\n extended_key_usage = ExtendedKeyUsageExtension()\n subject_key_identifier = fields.Nested(SubjectKeyIdentifierSchema)\n sub_alt_names = fields.Nested(NamesSchema)\n authority_key_identifier = fields.Nested(AuthorityKeyIdentifierSchema)\n certificate_info_access = fields.Nested(CertificateInfoAccessSchema)\n # FIXME: Convert custom OIDs to a custom field in fields.py like other Extensions\n # FIXME: Remove support in UI for Critical custom extensions https://github.com/Netflix/lemur/issues/665\n custom = fields.List(fields.Nested(CustomOIDSchema))\n\n\nclass EndpointNestedOutputSchema(LemurOutputSchema):\n __envelope__ = False\n id = fields.Integer()\n description = fields.String()\n name = fields.String()\n dnsname = fields.String()\n owner = fields.Email()\n type = fields.String()\n active = fields.Boolean()\n", "path": "lemur/schemas.py" } ]
[ { "content": "\"\"\"\n.. module: lemur.schemas\n :platform: unix\n :copyright: (c) 2015 by Netflix Inc., see AUTHORS for more\n :license: Apache, see LICENSE for more details.\n\n.. moduleauthor:: Kevin Glisson <[email protected]>\n\n\"\"\"\nfrom sqlalchemy.orm.exc import NoResultFound\n\nfrom marshmallow import fields, post_load, pre_load, post_dump\nfrom marshmallow.exceptions import ValidationError\n\nfrom lemur.common import validators\nfrom lemur.common.schema import LemurSchema, LemurInputSchema, LemurOutputSchema\nfrom lemur.common.fields import KeyUsageExtension, ExtendedKeyUsageExtension, BasicConstraintsExtension, SubjectAlternativeNameExtension\n\nfrom lemur.plugins import plugins\nfrom lemur.plugins.utils import get_plugin_option\nfrom lemur.roles.models import Role\nfrom lemur.users.models import User\nfrom lemur.authorities.models import Authority\nfrom lemur.certificates.models import Certificate\nfrom lemur.destinations.models import Destination\nfrom lemur.notifications.models import Notification\n\n\ndef validate_options(options):\n \"\"\"\n Ensures that the plugin options are valid.\n :param options:\n :return:\n \"\"\"\n interval = get_plugin_option('interval', options)\n unit = get_plugin_option('unit', options)\n\n if not interval and not unit:\n return\n\n if interval == 'month':\n unit *= 30\n\n elif interval == 'week':\n unit *= 7\n\n if unit > 90:\n raise ValidationError('Notification cannot be more than 90 days into the future.')\n\n\ndef get_object_attribute(data, many=False):\n if many:\n ids = [d.get('id') for d in data]\n names = [d.get('name') for d in data]\n\n if None in ids:\n if None in names:\n raise ValidationError('Associated object require a name or id.')\n else:\n return 'name'\n return 'id'\n else:\n if data.get('id'):\n return 'id'\n elif data.get('name'):\n return 'name'\n else:\n raise ValidationError('Associated object require a name or id.')\n\n\ndef fetch_objects(model, data, many=False):\n attr = get_object_attribute(data, many=many)\n\n if many:\n values = [v[attr] for v in data]\n items = model.query.filter(getattr(model, attr).in_(values)).all()\n found = [getattr(i, attr) for i in items]\n diff = set(values).symmetric_difference(set(found))\n\n if diff:\n raise ValidationError('Unable to locate {model} with {attr} {diff}'.format(\n model=model,\n attr=attr,\n diff=\",\".join(list(diff))))\n\n return items\n\n else:\n try:\n return model.query.filter(getattr(model, attr) == data[attr]).one()\n except NoResultFound:\n raise ValidationError('Unable to find {model} with {attr}: {data}'.format(\n model=model,\n attr=attr,\n data=data[attr]))\n\n\nclass AssociatedAuthoritySchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Authority, data, many=many)\n\n\nclass AssociatedRoleSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Role, data, many=many)\n\n\nclass AssociatedDestinationSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Destination, data, many=many)\n\n\nclass AssociatedNotificationSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Notification, data, many=many)\n\n\nclass AssociatedCertificateSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(Certificate, data, many=many)\n\n\nclass AssociatedUserSchema(LemurInputSchema):\n id = fields.Int()\n name = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n return fetch_objects(User, data, many=many)\n\n\nclass PluginInputSchema(LemurInputSchema):\n plugin_options = fields.List(fields.Dict(), validate=validate_options)\n slug = fields.String(required=True)\n title = fields.String()\n description = fields.String()\n\n @post_load\n def get_object(self, data, many=False):\n try:\n data['plugin_object'] = plugins.get(data['slug'])\n return data\n except Exception:\n raise ValidationError('Unable to find plugin: {0}'.format(data['slug']))\n\n\nclass PluginOutputSchema(LemurOutputSchema):\n id = fields.Integer()\n label = fields.String()\n description = fields.String()\n active = fields.Boolean()\n options = fields.List(fields.Dict(), dump_to='pluginOptions')\n slug = fields.String()\n title = fields.String()\n\n\nplugins_output_schema = PluginOutputSchema(many=True)\nplugin_output_schema = PluginOutputSchema\n\n\nclass BaseExtensionSchema(LemurSchema):\n @pre_load(pass_many=True)\n def preprocess(self, data, many):\n return self.under(data, many=many)\n\n @post_dump(pass_many=True)\n def post_process(self, data, many):\n if data:\n data = self.camel(data, many=many)\n return data\n\n\nclass AuthorityKeyIdentifierSchema(BaseExtensionSchema):\n use_key_identifier = fields.Boolean()\n use_authority_cert = fields.Boolean()\n\n\nclass CertificateInfoAccessSchema(BaseExtensionSchema):\n include_aia = fields.Boolean()\n\n @post_dump\n def handle_keys(self, data):\n return {'includeAIA': data['include_aia']}\n\n\nclass SubjectKeyIdentifierSchema(BaseExtensionSchema):\n include_ski = fields.Boolean()\n\n @post_dump\n def handle_keys(self, data):\n return {'includeSKI': data['include_ski']}\n\n\nclass CustomOIDSchema(BaseExtensionSchema):\n oid = fields.String()\n encoding = fields.String(validate=validators.encoding)\n value = fields.String()\n is_critical = fields.Boolean()\n\n\nclass NamesSchema(BaseExtensionSchema):\n names = SubjectAlternativeNameExtension()\n\n\nclass ExtensionSchema(BaseExtensionSchema):\n basic_constraints = BasicConstraintsExtension(missing={'ca': False})\n key_usage = KeyUsageExtension()\n extended_key_usage = ExtendedKeyUsageExtension()\n subject_key_identifier = fields.Nested(SubjectKeyIdentifierSchema)\n sub_alt_names = fields.Nested(NamesSchema)\n authority_key_identifier = fields.Nested(AuthorityKeyIdentifierSchema)\n certificate_info_access = fields.Nested(CertificateInfoAccessSchema)\n # FIXME: Convert custom OIDs to a custom field in fields.py like other Extensions\n # FIXME: Remove support in UI for Critical custom extensions https://github.com/Netflix/lemur/issues/665\n custom = fields.List(fields.Nested(CustomOIDSchema))\n\n\nclass EndpointNestedOutputSchema(LemurOutputSchema):\n __envelope__ = False\n id = fields.Integer()\n description = fields.String()\n name = fields.String()\n dnsname = fields.String()\n owner = fields.Email()\n type = fields.String()\n active = fields.Boolean()\n", "path": "lemur/schemas.py" } ]
diff --git a/lemur/schemas.py b/lemur/schemas.py index 7a5e62cccb..bbc5fd0acb 100644 --- a/lemur/schemas.py +++ b/lemur/schemas.py @@ -35,6 +35,9 @@ def validate_options(options): interval = get_plugin_option('interval', options) unit = get_plugin_option('unit', options) + if not interval and not unit: + return + if interval == 'month': unit *= 30 diff --git a/lemur/tests/test_authorities.py b/lemur/tests/test_authorities.py index 164f033b76..6b2f86b2db 100644 --- a/lemur/tests/test_authorities.py +++ b/lemur/tests/test_authorities.py @@ -13,7 +13,7 @@ def test_authority_input_schema(client, role): 'owner': '[email protected]', 'description': 'An example authority.', 'commonName': 'AnExampleAuthority', - 'pluginName': {'slug': 'verisign-issuer'}, + 'plugin': {'slug': 'verisign-issuer', 'plugin_options': [{'name': 'test', 'value': 'blah'}]}, 'type': 'root', 'signingAlgorithm': 'sha256WithRSA', 'keyType': 'RSA2048',
Getting error while creating authority with lemur_cryptography plugin I added a comment to the offending commit code here: https://github.com/Netflix/lemur/commit/d53f64890cb656765bc1c18f4b8442ee3a592f47 Upon creating an authority certificate with the lemur_cryptography plugin here, I get an error because unit is None and cannot be compared to 90. Is it reasonable to make an validation assumption that unit should be 0 if undefined? I haven't quite been able to trace how this validation function is called, so I'm not entirely clear on what it is doing or why it's involved in the creation of an authority certificate, but not in the creation of a certificate signed by an authority. Here's the error I get upon submitting an authority for creation. ``` 2017-03-07 01:44:41,352 ERROR: Exception on /api/1/authorities [POST] [in /home/lemur/venv/lib/python3.4/site-packages/flask/app.py:1560] Traceback (most recent call last): File "/home/lemur/venv/lib/python3.4/site-packages/flask/app.py", line 1612, in full_dispatch_request rv = self.dispatch_request() File "/home/lemur/venv/lib/python3.4/site-packages/flask/app.py", line 1598, in dispatch_request return self.view_functions[rule.endpoint](**req.view_args) File "/home/lemur/venv/lib/python3.4/site-packages/flask_restful/__init__.py", line 477, in wrapper resp = resource(*args, **kwargs) File "/home/lemur/venv/lib/python3.4/site-packages/flask/views.py", line 84, in view return self.dispatch_request(*args, **kwargs) File "/home/lemur/venv/lib/python3.4/site-packages/flask_restful/__init__.py", line 587, in dispatch_request resp = meth(*args, **kwargs) File "/home/lemur/app/lemur/auth/service.py", line 110, in decorated_function return f(*args, **kwargs) File "/home/lemur/app/lemur/common/schema.py", line 150, in decorated_function data, errors = input_schema.load(request_data) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/schema.py", line 578, in load result, errors = self._do_load(data, many, partial=partial, postprocess=True) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/schema.py", line 658, in _do_load index_errors=self.opts.index_errors, File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/marshalling.py", line 295, in deserialize index=(index if index_errors else None) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/marshalling.py", line 68, in call_and_store value = getter_func(data) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/marshalling.py", line 288, in <lambda> data File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/fields.py", line 265, in deserialize output = self._deserialize(value, attr, data) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/fields.py", line 465, in _deserialize data, errors = self.schema.load(value) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/schema.py", line 578, in load result, errors = self._do_load(data, many, partial=partial, postprocess=True) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/schema.py", line 658, in _do_load index_errors=self.opts.index_errors, File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/marshalling.py", line 295, in deserialize index=(index if index_errors else None) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/marshalling.py", line 68, in call_and_store value = getter_func(data) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/marshalling.py", line 288, in <lambda> data File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/fields.py", line 266, in deserialize self._validate(output) File "/home/lemur/venv/lib/python3.4/site-packages/marshmallow/fields.py", line 196, in _validate r = validator(value) File "/home/lemur/app/lemur/schemas.py", line 44, in validate_options if unit > 90: TypeError: unorderable types: NoneType() > int() ```
django-cms__django-filer-1214
[ { "content": "from django.conf import settings\nfrom django.core.exceptions import PermissionDenied\nfrom django.http import Http404\nfrom django.views.decorators.cache import never_cache\n\nfrom easy_thumbnails.files import ThumbnailFile\n\nfrom .. import settings as filer_settings\nfrom ..models import File\nfrom ..utils.filer_easy_thumbnails import thumbnail_to_original_filename\n\n\nserver = filer_settings.FILER_PRIVATEMEDIA_SERVER\nthumbnail_server = filer_settings.FILER_PRIVATEMEDIA_THUMBNAIL_SERVER\n\n\n@never_cache\ndef serve_protected_file(request, path):\n \"\"\"\n Serve protected files to authenticated users with read permissions.\n \"\"\"\n try:\n file_obj = File.objects.get(file=path, is_public=False)\n except File.DoesNotExist:\n raise Http404('File not found')\n if not file_obj.has_read_permission(request):\n if settings.DEBUG:\n raise PermissionDenied\n else:\n raise Http404('File not found')\n return server.serve(request, file_obj=file_obj, save_as=False)\n\n\n@never_cache\ndef serve_protected_thumbnail(request, path):\n \"\"\"\n Serve protected thumbnails to authenticated users.\n If the user doesn't have read permissions, redirect to a static image.\n \"\"\"\n source_path = thumbnail_to_original_filename(path)\n if not source_path:\n raise Http404('File not found')\n try:\n file_obj = File.objects.get(file=source_path, is_public=False)\n except File.DoesNotExist:\n raise Http404('File not found')\n if not file_obj.has_read_permission(request):\n if settings.DEBUG:\n raise PermissionDenied\n else:\n raise Http404('File not found')\n try:\n thumbnail = ThumbnailFile(name=path, storage=file_obj.file.thumbnail_storage)\n thumbnail_temp_file = File(file=thumbnail, mime_type=file_obj.mime_type)\n return thumbnail_server.serve(request, thumbnail_temp_file, save_as=False)\n except Exception:\n raise Http404('File not found')\n", "path": "filer/server/views.py" } ]
[ { "content": "from django.conf import settings\nfrom django.core.exceptions import PermissionDenied\nfrom django.http import Http404\nfrom django.views.decorators.cache import never_cache\n\nfrom easy_thumbnails.files import ThumbnailFile\n\nfrom .. import settings as filer_settings\nfrom ..models import File\nfrom ..utils.filer_easy_thumbnails import thumbnail_to_original_filename\n\n\nserver = filer_settings.FILER_PRIVATEMEDIA_SERVER\nthumbnail_server = filer_settings.FILER_PRIVATEMEDIA_THUMBNAIL_SERVER\n\n\n@never_cache\ndef serve_protected_file(request, path):\n \"\"\"\n Serve protected files to authenticated users with read permissions.\n \"\"\"\n try:\n file_obj = File.objects.get(file=path, is_public=False)\n except File.DoesNotExist:\n raise Http404('File not found')\n if not file_obj.has_read_permission(request):\n if settings.DEBUG:\n raise PermissionDenied\n else:\n raise Http404('File not found')\n return server.serve(request, file_obj, save_as=False)\n\n\n@never_cache\ndef serve_protected_thumbnail(request, path):\n \"\"\"\n Serve protected thumbnails to authenticated users.\n If the user doesn't have read permissions, redirect to a static image.\n \"\"\"\n source_path = thumbnail_to_original_filename(path)\n if not source_path:\n raise Http404('File not found')\n try:\n file_obj = File.objects.get(file=source_path, is_public=False)\n except File.DoesNotExist:\n raise Http404('File not found')\n if not file_obj.has_read_permission(request):\n if settings.DEBUG:\n raise PermissionDenied\n else:\n raise Http404('File not found')\n try:\n thumbnail = ThumbnailFile(name=path, storage=file_obj.file.thumbnail_storage)\n thumbnail_temp_file = File(file=thumbnail, mime_type=file_obj.mime_type)\n return thumbnail_server.serve(request, thumbnail_temp_file, save_as=False)\n except Exception:\n raise Http404('File not found')\n", "path": "filer/server/views.py" } ]
diff --git a/filer/server/views.py b/filer/server/views.py index 5b87abb6d..df7762fff 100644 --- a/filer/server/views.py +++ b/filer/server/views.py @@ -28,7 +28,7 @@ def serve_protected_file(request, path): raise PermissionDenied else: raise Http404('File not found') - return server.serve(request, file_obj=file_obj, save_as=False) + return server.serve(request, file_obj, save_as=False) @never_cache
filter.server.views `serve() missing 1 required positional argument: 'filer_file'` A bug was introduced here when `filer_file` was made into a kwarg: https://github.com/divio/django-filer/blame/29eea047f425254af9f4d68b24096fc3fd3a7197/filer/server/views.py#L31 Exception: ``` TypeError at /smedia/filer/filer_private/2d/ba/2dbaf742-4b45-456f-95b1-f560ec64e637/xxx.png serve() missing 1 required positional argument: 'filer_file' /usr/local/lib/python3.8/site-packages/filer/server/views.py, line 31, in serve_protected_file return server.serve(request, file_obj=file_obj, save_as=False) Variable | Value -- | -- file_obj | <File:xxxpng> path | 'filer_private/2d/ba/2dbaf742-4b45-456f-95b1-f560ec64e637/xxx.png' request | <WSGIRequest: GET '/smedia/filer/filer_private/2d/ba/2dbaf742-4b45-456f-95b1-f560ec64e637/axxx.png'> ```
liqd__a4-opin-612
[ { "content": "from django.conf import settings\nfrom django.utils.html import format_html\nfrom wagtail.wagtailcore import hooks\n\n\[email protected]('insert_editor_css')\ndef editor_css():\n return format_html('<link rel=\"stylesheet\" href=\"'\n + settings.STATIC_URL\n + 'scss/wagtail_admin/wagtail_admin.css\">')\n", "path": "home/wagtail_hooks.py" } ]
[ { "content": "from django.conf import settings\nfrom django.utils.html import format_html\nfrom wagtail.wagtailcore import hooks\n\n\[email protected]('insert_editor_css')\ndef editor_css():\n return format_html('<link rel=\"stylesheet\" href=\"'\n + settings.STATIC_URL\n + 'wagtail_admin.css\">')\n", "path": "home/wagtail_hooks.py" } ]
diff --git a/euth_wagtail/assets/scss/all.scss b/euth_wagtail/assets/scss/all.scss index 6226ed6de..56245a22d 100644 --- a/euth_wagtail/assets/scss/all.scss +++ b/euth_wagtail/assets/scss/all.scss @@ -22,6 +22,7 @@ @import "wagtail-blocks/image-text-list-block"; @import "wagtail-blocks/rss-feed-import"; @import "wagtail-blocks/page-collection"; +@import "wagtail-blocks/richtext-block"; // Components @import "components/projects"; diff --git a/euth_wagtail/assets/scss/wagtail-blocks/_richtext-block.scss b/euth_wagtail/assets/scss/wagtail-blocks/_richtext-block.scss new file mode 100644 index 000000000..2e9921be1 --- /dev/null +++ b/euth_wagtail/assets/scss/wagtail-blocks/_richtext-block.scss @@ -0,0 +1,17 @@ +.responsive-object { + position: relative; + padding-bottom: 67.5%; + height: 0; + margin: 10px 0; + overflow: hidden; +} + +.responsive-object iframe, +.responsive-object object, +.responsive-object embed { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; +} diff --git a/euth_wagtail/assets/scss/wagtail-blocks/_video-block.scss b/euth_wagtail/assets/scss/wagtail-blocks/_video-block.scss index 52eebca96..b1ea619ed 100644 --- a/euth_wagtail/assets/scss/wagtail-blocks/_video-block.scss +++ b/euth_wagtail/assets/scss/wagtail-blocks/_video-block.scss @@ -4,8 +4,6 @@ iframe { width: 100%; } - - .responsive-object { - padding-bottom: 0 !important; - } } + + diff --git a/home/wagtail_hooks.py b/home/wagtail_hooks.py index 20bb42cb9..840222f75 100644 --- a/home/wagtail_hooks.py +++ b/home/wagtail_hooks.py @@ -7,4 +7,4 @@ def editor_css(): return format_html('<link rel="stylesheet" href="' + settings.STATIC_URL - + 'scss/wagtail_admin/wagtail_admin.css">') + + 'wagtail_admin.css">') diff --git a/webpack.config.js b/webpack.config.js index 47f0fc1d0..4f6220ee4 100644 --- a/webpack.config.js +++ b/webpack.config.js @@ -108,6 +108,11 @@ module.exports = { from: './euth_wagtail/assets/icons/favicon.ico', to: 'images/', flatten: true + }, + { + from: './euth_wagtail/assets/scss/wagtail_admin', + to: '', + flatten: true } ])
too much space below video, not deletable in wagtail ![wagtail bug](https://cloud.githubusercontent.com/assets/24652917/21648586/c86d744c-d29e-11e6-83b0-120667f43c41.jpg)
pypa__setuptools-689
[ { "content": "#!/usr/bin/env python\n\"\"\"\nDistutils setup file, used to install or test 'setuptools'\n\"\"\"\n\nimport io\nimport os\nimport sys\nimport textwrap\n\nimport setuptools\n\n\nhere = os.path.dirname(__file__)\n\n\ndef require_metadata():\n \"Prevent improper installs without necessary metadata. See #659\"\n if not os.path.exists('setuptools.egg-info'):\n msg = \"Cannot build setuptools without metadata. Run bootstrap.py\"\n raise RuntimeError(msg)\n\n\ndef read_commands():\n command_ns = {}\n cmd_module_path = 'setuptools/command/__init__.py'\n init_path = os.path.join(here, cmd_module_path)\n with open(init_path) as init_file:\n exec(init_file.read(), command_ns)\n return command_ns['__all__']\n\n\ndef _gen_console_scripts():\n yield \"easy_install = setuptools.command.easy_install:main\"\n\n # Gentoo distributions manage the python-version-specific scripts\n # themselves, so those platforms define an environment variable to\n # suppress the creation of the version-specific scripts.\n var_names = (\n 'SETUPTOOLS_DISABLE_VERSIONED_EASY_INSTALL_SCRIPT',\n 'DISTRIBUTE_DISABLE_VERSIONED_EASY_INSTALL_SCRIPT',\n )\n if any(os.environ.get(var) not in (None, \"\", \"0\") for var in var_names):\n return\n yield (\"easy_install-{shortver} = setuptools.command.easy_install:main\"\n .format(shortver=sys.version[:3]))\n\n\nreadme_path = os.path.join(here, 'README.rst')\nwith io.open(readme_path, encoding='utf-8') as readme_file:\n long_description = readme_file.read()\n\npackage_data = dict(\n setuptools=['script (dev).tmpl', 'script.tmpl', 'site-patch.py'],\n)\n\nforce_windows_specific_files = (\n os.environ.get(\"SETUPTOOLS_INSTALL_WINDOWS_SPECIFIC_FILES\")\n not in (None, \"\", \"0\")\n)\n\ninclude_windows_files = (\n sys.platform == 'win32' or\n os.name == 'java' and os._name == 'nt' or\n force_windows_specific_files\n)\n\nif include_windows_files:\n package_data.setdefault('setuptools', []).extend(['*.exe'])\n package_data.setdefault('setuptools.command', []).extend(['*.xml'])\n\nneeds_pytest = set(['ptr', 'pytest', 'test']).intersection(sys.argv)\npytest_runner = ['pytest-runner'] if needs_pytest else []\nneeds_wheel = set(['release', 'bdist_wheel']).intersection(sys.argv)\nwheel = ['wheel'] if needs_wheel else []\n\n\ndef pypi_link(pkg_filename):\n \"\"\"\n Given the filename, including md5 fragment, construct the\n dependency link for PyPI.\n \"\"\"\n root = 'https://pypi.python.org/packages/source'\n name, sep, rest = pkg_filename.partition('-')\n parts = root, name[0], name, pkg_filename\n return '/'.join(parts)\n\n\nsetup_params = dict(\n name=\"setuptools\",\n version=\"25.0.1\",\n description=\"Easily download, build, install, upgrade, and uninstall \"\n \"Python packages\",\n author=\"Python Packaging Authority\",\n author_email=\"[email protected]\",\n long_description=long_description,\n keywords=\"CPAN PyPI distutils eggs package management\",\n url=\"https://github.com/pypa/setuptools\",\n src_root=None,\n packages=setuptools.find_packages(exclude=['*.tests']),\n package_data=package_data,\n\n py_modules=['easy_install'],\n\n zip_safe=True,\n\n entry_points={\n \"distutils.commands\": [\n \"%(cmd)s = setuptools.command.%(cmd)s:%(cmd)s\" % locals()\n for cmd in read_commands()\n ],\n \"distutils.setup_keywords\": [\n \"eager_resources = setuptools.dist:assert_string_list\",\n \"namespace_packages = setuptools.dist:check_nsp\",\n \"extras_require = setuptools.dist:check_extras\",\n \"install_requires = setuptools.dist:check_requirements\",\n \"tests_require = setuptools.dist:check_requirements\",\n \"setup_requires = setuptools.dist:check_requirements\",\n \"python_requires = setuptools.dist:check_specifier\",\n \"entry_points = setuptools.dist:check_entry_points\",\n \"test_suite = setuptools.dist:check_test_suite\",\n \"zip_safe = setuptools.dist:assert_bool\",\n \"package_data = setuptools.dist:check_package_data\",\n \"exclude_package_data = setuptools.dist:check_package_data\",\n \"include_package_data = setuptools.dist:assert_bool\",\n \"packages = setuptools.dist:check_packages\",\n \"dependency_links = setuptools.dist:assert_string_list\",\n \"test_loader = setuptools.dist:check_importable\",\n \"test_runner = setuptools.dist:check_importable\",\n \"use_2to3 = setuptools.dist:assert_bool\",\n \"convert_2to3_doctests = setuptools.dist:assert_string_list\",\n \"use_2to3_fixers = setuptools.dist:assert_string_list\",\n \"use_2to3_exclude_fixers = setuptools.dist:assert_string_list\",\n ],\n \"egg_info.writers\": [\n \"PKG-INFO = setuptools.command.egg_info:write_pkg_info\",\n \"requires.txt = setuptools.command.egg_info:write_requirements\",\n \"entry_points.txt = setuptools.command.egg_info:write_entries\",\n \"eager_resources.txt = setuptools.command.egg_info:overwrite_arg\",\n \"namespace_packages.txt = setuptools.command.egg_info:overwrite_arg\",\n \"top_level.txt = setuptools.command.egg_info:write_toplevel_names\",\n \"depends.txt = setuptools.command.egg_info:warn_depends_obsolete\",\n \"dependency_links.txt = setuptools.command.egg_info:overwrite_arg\",\n ],\n \"console_scripts\": list(_gen_console_scripts()),\n\n \"setuptools.installation\":\n ['eggsecutable = setuptools.command.easy_install:bootstrap'],\n },\n\n\n classifiers=textwrap.dedent(\"\"\"\n Development Status :: 5 - Production/Stable\n Intended Audience :: Developers\n License :: OSI Approved :: MIT License\n Operating System :: OS Independent\n Programming Language :: Python :: 2.6\n Programming Language :: Python :: 2.7\n Programming Language :: Python :: 3\n Programming Language :: Python :: 3.3\n Programming Language :: Python :: 3.4\n Programming Language :: Python :: 3.5\n Topic :: Software Development :: Libraries :: Python Modules\n Topic :: System :: Archiving :: Packaging\n Topic :: System :: Systems Administration\n Topic :: Utilities\n \"\"\").strip().splitlines(),\n extras_require={\n \"ssl:sys_platform=='win32'\": \"wincertstore==0.2\",\n \"certs\": \"certifi==2016.2.28\",\n },\n dependency_links=[\n pypi_link(\n 'certifi-2016.2.28.tar.gz#md5=5d672aa766e1f773c75cfeccd02d3650',\n ),\n pypi_link(\n 'wincertstore-0.2.zip#md5=ae728f2f007185648d0c7a8679b361e2',\n ),\n ],\n scripts=[],\n tests_require=[\n 'setuptools[ssl]',\n 'pytest-flake8',\n # workaround for pytest-flake8 #7\n 'flake8<3dev',\n 'pytest>=2.8',\n ] + (['mock'] if sys.version_info[:2] < (3, 3) else []),\n setup_requires=[\n ] + pytest_runner + wheel,\n)\n\nif __name__ == '__main__':\n # allow setup.py to run from another directory\n here and os.path.chdir(here)\n require_metadata()\n dist = setuptools.setup(**setup_params)\n", "path": "setup.py" } ]
[ { "content": "#!/usr/bin/env python\n\"\"\"\nDistutils setup file, used to install or test 'setuptools'\n\"\"\"\n\nimport io\nimport os\nimport sys\nimport textwrap\n\nimport setuptools\n\n\nhere = os.path.dirname(__file__)\n\n\ndef require_metadata():\n \"Prevent improper installs without necessary metadata. See #659\"\n if not os.path.exists('setuptools.egg-info'):\n msg = \"Cannot build setuptools without metadata. Run bootstrap.py\"\n raise RuntimeError(msg)\n\n\ndef read_commands():\n command_ns = {}\n cmd_module_path = 'setuptools/command/__init__.py'\n init_path = os.path.join(here, cmd_module_path)\n with open(init_path) as init_file:\n exec(init_file.read(), command_ns)\n return command_ns['__all__']\n\n\ndef _gen_console_scripts():\n yield \"easy_install = setuptools.command.easy_install:main\"\n\n # Gentoo distributions manage the python-version-specific scripts\n # themselves, so those platforms define an environment variable to\n # suppress the creation of the version-specific scripts.\n var_names = (\n 'SETUPTOOLS_DISABLE_VERSIONED_EASY_INSTALL_SCRIPT',\n 'DISTRIBUTE_DISABLE_VERSIONED_EASY_INSTALL_SCRIPT',\n )\n if any(os.environ.get(var) not in (None, \"\", \"0\") for var in var_names):\n return\n yield (\"easy_install-{shortver} = setuptools.command.easy_install:main\"\n .format(shortver=sys.version[:3]))\n\n\nreadme_path = os.path.join(here, 'README.rst')\nwith io.open(readme_path, encoding='utf-8') as readme_file:\n long_description = readme_file.read()\n\npackage_data = dict(\n setuptools=['script (dev).tmpl', 'script.tmpl', 'site-patch.py'],\n)\n\nforce_windows_specific_files = (\n os.environ.get(\"SETUPTOOLS_INSTALL_WINDOWS_SPECIFIC_FILES\")\n not in (None, \"\", \"0\")\n)\n\ninclude_windows_files = (\n sys.platform == 'win32' or\n os.name == 'java' and os._name == 'nt' or\n force_windows_specific_files\n)\n\nif include_windows_files:\n package_data.setdefault('setuptools', []).extend(['*.exe'])\n package_data.setdefault('setuptools.command', []).extend(['*.xml'])\n\nneeds_pytest = set(['ptr', 'pytest', 'test']).intersection(sys.argv)\npytest_runner = ['pytest-runner'] if needs_pytest else []\nneeds_wheel = set(['release', 'bdist_wheel']).intersection(sys.argv)\nwheel = ['wheel'] if needs_wheel else []\n\n\ndef pypi_link(pkg_filename):\n \"\"\"\n Given the filename, including md5 fragment, construct the\n dependency link for PyPI.\n \"\"\"\n root = 'https://pypi.python.org/packages/source'\n name, sep, rest = pkg_filename.partition('-')\n parts = root, name[0], name, pkg_filename\n return '/'.join(parts)\n\n\nsetup_params = dict(\n name=\"setuptools\",\n version=\"25.0.1\",\n description=\"Easily download, build, install, upgrade, and uninstall \"\n \"Python packages\",\n author=\"Python Packaging Authority\",\n author_email=\"[email protected]\",\n long_description=long_description,\n keywords=\"CPAN PyPI distutils eggs package management\",\n url=\"https://github.com/pypa/setuptools\",\n src_root=None,\n packages=setuptools.find_packages(exclude=['*.tests']),\n package_data=package_data,\n\n py_modules=['easy_install'],\n\n zip_safe=True,\n\n entry_points={\n \"distutils.commands\": [\n \"%(cmd)s = setuptools.command.%(cmd)s:%(cmd)s\" % locals()\n for cmd in read_commands()\n ],\n \"distutils.setup_keywords\": [\n \"eager_resources = setuptools.dist:assert_string_list\",\n \"namespace_packages = setuptools.dist:check_nsp\",\n \"extras_require = setuptools.dist:check_extras\",\n \"install_requires = setuptools.dist:check_requirements\",\n \"tests_require = setuptools.dist:check_requirements\",\n \"setup_requires = setuptools.dist:check_requirements\",\n \"python_requires = setuptools.dist:check_specifier\",\n \"entry_points = setuptools.dist:check_entry_points\",\n \"test_suite = setuptools.dist:check_test_suite\",\n \"zip_safe = setuptools.dist:assert_bool\",\n \"package_data = setuptools.dist:check_package_data\",\n \"exclude_package_data = setuptools.dist:check_package_data\",\n \"include_package_data = setuptools.dist:assert_bool\",\n \"packages = setuptools.dist:check_packages\",\n \"dependency_links = setuptools.dist:assert_string_list\",\n \"test_loader = setuptools.dist:check_importable\",\n \"test_runner = setuptools.dist:check_importable\",\n \"use_2to3 = setuptools.dist:assert_bool\",\n \"convert_2to3_doctests = setuptools.dist:assert_string_list\",\n \"use_2to3_fixers = setuptools.dist:assert_string_list\",\n \"use_2to3_exclude_fixers = setuptools.dist:assert_string_list\",\n ],\n \"egg_info.writers\": [\n \"PKG-INFO = setuptools.command.egg_info:write_pkg_info\",\n \"requires.txt = setuptools.command.egg_info:write_requirements\",\n \"entry_points.txt = setuptools.command.egg_info:write_entries\",\n \"eager_resources.txt = setuptools.command.egg_info:overwrite_arg\",\n \"namespace_packages.txt = setuptools.command.egg_info:overwrite_arg\",\n \"top_level.txt = setuptools.command.egg_info:write_toplevel_names\",\n \"depends.txt = setuptools.command.egg_info:warn_depends_obsolete\",\n \"dependency_links.txt = setuptools.command.egg_info:overwrite_arg\",\n ],\n \"console_scripts\": list(_gen_console_scripts()),\n\n \"setuptools.installation\":\n ['eggsecutable = setuptools.command.easy_install:bootstrap'],\n },\n\n\n classifiers=textwrap.dedent(\"\"\"\n Development Status :: 5 - Production/Stable\n Intended Audience :: Developers\n License :: OSI Approved :: MIT License\n Operating System :: OS Independent\n Programming Language :: Python :: 2.6\n Programming Language :: Python :: 2.7\n Programming Language :: Python :: 3\n Programming Language :: Python :: 3.3\n Programming Language :: Python :: 3.4\n Programming Language :: Python :: 3.5\n Topic :: Software Development :: Libraries :: Python Modules\n Topic :: System :: Archiving :: Packaging\n Topic :: System :: Systems Administration\n Topic :: Utilities\n \"\"\").strip().splitlines(),\n extras_require={\n \"ssl:sys_platform=='win32'\": \"wincertstore==0.2\",\n \"certs\": \"certifi==2016.2.28\",\n },\n dependency_links=[\n pypi_link(\n 'certifi-2016.2.28.tar.gz#md5=5d672aa766e1f773c75cfeccd02d3650',\n ),\n pypi_link(\n 'wincertstore-0.2.zip#md5=ae728f2f007185648d0c7a8679b361e2',\n ),\n ],\n scripts=[],\n tests_require=[\n 'setuptools[ssl]',\n 'pytest-flake8',\n # workaround for pytest-flake8 #7\n 'flake8<3dev',\n 'pytest>=2.8',\n ] + (['mock'] if sys.version_info[:2] < (3, 3) else []),\n setup_requires=[\n ] + pytest_runner + wheel,\n)\n\nif __name__ == '__main__':\n # allow setup.py to run from another directory\n here and os.chdir(here)\n require_metadata()\n dist = setuptools.setup(**setup_params)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index af5e3ac418..e4d85b0b3f 100755 --- a/setup.py +++ b/setup.py @@ -191,6 +191,6 @@ def pypi_link(pkg_filename): if __name__ == '__main__': # allow setup.py to run from another directory - here and os.path.chdir(here) + here and os.chdir(here) require_metadata() dist = setuptools.setup(**setup_params)
AttributeError: 'module' object has no attribute 'chdir' in 25.0.1 The new `setuptools == 25.0.1` just failed on our CI with `AttributeError: 'module' object has no attribute 'chdir'`. The new expression [`here and os.path.chdir(here)`](https://github.com/pypa/setuptools/blob/21ab99e53f0c263a2210cf51525d6edcae1ae9a7/setup.py#L194) in `setup.py` was probably meant to use `os.chdir()`, since `os.path` has no `chdir()`. _(Note: Lots of buildout related noise in the traceback, but I didn't want to truncate it and risk omitting relevant info)_ ``` Getting distribution for 'setuptools'. Traceback (most recent call last): File "<string>", line 1, in <module> File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 2245, in main distclass=DistributionWithoutHelpCommands, **kw File "/usr/local/python/2.7.10/lib/python2.7/distutils/core.py", line 151, in setup dist.run_commands() File "/usr/local/python/2.7.10/lib/python2.7/distutils/dist.py", line 953, in run_commands self.run_command(cmd) File "/usr/local/python/2.7.10/lib/python2.7/distutils/dist.py", line 972, in run_command cmd_obj.run() File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 380, in run self.easy_install(spec, not self.no_deps) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 610, in easy_install return self.install_item(None, spec, tmpdir, deps, True) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 659, in install_item dists = self.install_eggs(spec, download, tmpdir) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 842, in install_eggs return self.build_and_install(setup_script, setup_base) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 1070, in build_and_install self.run_setup(setup_script, setup_base, args) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/command/easy_install.py", line 1056, in run_setup run_setup(setup_script, args) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 240, in run_setup raise File "/usr/local/python/2.7.10/lib/python2.7/contextlib.py", line 35, in __exit__ self.gen.throw(type, value, traceback) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 193, in setup_context yield File "/usr/local/python/2.7.10/lib/python2.7/contextlib.py", line 35, in __exit__ self.gen.throw(type, value, traceback) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 164, in save_modules saved_exc.resume() File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 139, in resume compat.reraise(type, exc, self._tb) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 152, in save_modules yield saved File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 193, in setup_context yield File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 237, in run_setup DirectorySandbox(setup_dir).run(runner) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 267, in run return func() File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 236, in runner _execfile(setup_script, ns) File "/var/lib/jenkins/zope/eggs/setuptools-18.2-py2.7.egg/setuptools/sandbox.py", line 46, in _execfile exec(code, globals, locals) File "/tmp/easy_install-6d2nJI/setuptools-25.0.1/setup.py", line 194, in <module> AttributeError: 'module' object has no attribute 'chdir' ```
arviz-devs__arviz-2032
[ { "content": "\"\"\"Matplotlib dotplot.\"\"\"\nimport math\nimport warnings\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import _pylab_helpers\n\nfrom ...plot_utils import _scale_fig_size\nfrom . import backend_kwarg_defaults, create_axes_grid, backend_show\nfrom ...plot_utils import plot_point_interval\nfrom ...dotplot import wilkinson_algorithm, layout_stacks\n\n\ndef plot_dot(\n values,\n binwidth,\n dotsize,\n stackratio,\n hdi_prob,\n quartiles,\n rotated,\n dotcolor,\n intervalcolor,\n markersize,\n markercolor,\n marker,\n figsize,\n linewidth,\n point_estimate,\n nquantiles,\n point_interval,\n ax,\n show,\n backend_kwargs,\n plot_kwargs,\n):\n \"\"\"Matplotlib dotplot.\"\"\"\n if backend_kwargs is None:\n backend_kwargs = {}\n\n backend_kwargs = {**backend_kwarg_defaults(), **backend_kwargs}\n\n backend_kwargs.setdefault(\"figsize\", figsize)\n backend_kwargs[\"squeeze\"] = True\n\n (figsize, _, _, _, auto_linewidth, auto_markersize) = _scale_fig_size(figsize, None)\n\n if plot_kwargs is None:\n plot_kwargs = {}\n plot_kwargs.setdefault(\"color\", dotcolor)\n\n if linewidth is None:\n linewidth = auto_linewidth\n\n if markersize is None:\n markersize = auto_markersize\n\n if ax is None:\n fig_manager = _pylab_helpers.Gcf.get_active()\n if fig_manager is not None:\n ax = fig_manager.canvas.figure.gca()\n else:\n _, ax = create_axes_grid(\n 1,\n backend_kwargs=backend_kwargs,\n )\n\n if point_interval:\n ax = plot_point_interval(\n ax,\n values,\n point_estimate,\n hdi_prob,\n quartiles,\n linewidth,\n markersize,\n markercolor,\n marker,\n rotated,\n intervalcolor,\n \"matplotlib\",\n )\n\n if nquantiles > values.shape[0]:\n warnings.warn(\n \"nquantiles must be less than or equal to the number of data points\", UserWarning\n )\n nquantiles = values.shape[0]\n else:\n qlist = np.linspace(1 / (2 * nquantiles), 1 - 1 / (2 * nquantiles), nquantiles)\n values = np.quantile(values, qlist)\n\n if binwidth is None:\n binwidth = math.sqrt((values[-1] - values[0] + 1) ** 2 / (2 * nquantiles * np.pi))\n\n ## Wilkinson's Algorithm\n stack_locs, stack_count = wilkinson_algorithm(values, binwidth)\n x, y = layout_stacks(stack_locs, stack_count, binwidth, stackratio, rotated)\n\n for (x_i, y_i) in zip(x, y):\n dot = plt.Circle((x_i, y_i), dotsize * binwidth / 2, **plot_kwargs)\n ax.add_patch(dot)\n\n if rotated:\n ax.tick_params(bottom=False, labelbottom=False)\n else:\n ax.tick_params(left=False, labelleft=False)\n\n ax.set_aspect(\"equal\", adjustable=\"box\")\n ax.autoscale()\n\n if backend_show(show):\n plt.show()\n\n return ax\n", "path": "arviz/plots/backends/matplotlib/dotplot.py" } ]
[ { "content": "\"\"\"Matplotlib dotplot.\"\"\"\nimport math\nimport warnings\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import _pylab_helpers\n\nfrom ...plot_utils import _scale_fig_size\nfrom . import backend_kwarg_defaults, create_axes_grid, backend_show\nfrom ...plot_utils import plot_point_interval\nfrom ...dotplot import wilkinson_algorithm, layout_stacks\n\n\ndef plot_dot(\n values,\n binwidth,\n dotsize,\n stackratio,\n hdi_prob,\n quartiles,\n rotated,\n dotcolor,\n intervalcolor,\n markersize,\n markercolor,\n marker,\n figsize,\n linewidth,\n point_estimate,\n nquantiles,\n point_interval,\n ax,\n show,\n backend_kwargs,\n plot_kwargs,\n):\n \"\"\"Matplotlib dotplot.\"\"\"\n if backend_kwargs is None:\n backend_kwargs = {}\n\n backend_kwargs = {**backend_kwarg_defaults(), **backend_kwargs}\n\n backend_kwargs.setdefault(\"figsize\", figsize)\n backend_kwargs[\"squeeze\"] = True\n\n (figsize, _, _, _, auto_linewidth, auto_markersize) = _scale_fig_size(figsize, None)\n\n if plot_kwargs is None:\n plot_kwargs = {}\n plot_kwargs.setdefault(\"color\", dotcolor)\n\n if linewidth is None:\n linewidth = auto_linewidth\n\n if markersize is None:\n markersize = auto_markersize\n\n if ax is None:\n fig_manager = _pylab_helpers.Gcf.get_active()\n if fig_manager is not None:\n ax = fig_manager.canvas.figure.gca()\n else:\n _, ax = create_axes_grid(\n 1,\n backend_kwargs=backend_kwargs,\n )\n\n if point_interval:\n ax = plot_point_interval(\n ax,\n values,\n point_estimate,\n hdi_prob,\n quartiles,\n linewidth,\n markersize,\n markercolor,\n marker,\n rotated,\n intervalcolor,\n \"matplotlib\",\n )\n\n if nquantiles > values.shape[0]:\n warnings.warn(\n \"nquantiles must be less than or equal to the number of data points\", UserWarning\n )\n nquantiles = values.shape[0]\n else:\n qlist = np.linspace(1 / (2 * nquantiles), 1 - 1 / (2 * nquantiles), nquantiles)\n values = np.quantile(values, qlist)\n\n if binwidth is None:\n binwidth = math.sqrt((values[-1] - values[0] + 1) ** 2 / (2 * nquantiles * np.pi))\n\n ## Wilkinson's Algorithm\n stack_locs, stack_count = wilkinson_algorithm(values, binwidth)\n x, y = layout_stacks(stack_locs, stack_count, binwidth, stackratio, rotated)\n\n for (x_i, y_i) in zip(x, y):\n dot = plt.Circle((x_i, y_i), dotsize * binwidth / 2, **plot_kwargs)\n ax.add_patch(dot)\n\n if rotated:\n ax.tick_params(bottom=False, labelbottom=False)\n else:\n ax.tick_params(left=False, labelleft=False)\n\n ax.set_aspect(\"equal\", adjustable=\"datalim\")\n ax.autoscale()\n\n if backend_show(show):\n plt.show()\n\n return ax\n", "path": "arviz/plots/backends/matplotlib/dotplot.py" } ]
diff --git a/arviz/plots/backends/matplotlib/dotplot.py b/arviz/plots/backends/matplotlib/dotplot.py index 90f5638846..8d06d851d8 100644 --- a/arviz/plots/backends/matplotlib/dotplot.py +++ b/arviz/plots/backends/matplotlib/dotplot.py @@ -106,7 +106,7 @@ def plot_dot( else: ax.tick_params(left=False, labelleft=False) - ax.set_aspect("equal", adjustable="box") + ax.set_aspect("equal", adjustable="datalim") ax.autoscale() if backend_show(show):
plot_dot **Describe the bug** plotdot fig size doesn't behave the way I expect, in that when I set `figsize` in an axes that triple a previous one its not triple the size. There also are some minor bugs where the dots seem to be overlapping some **To Reproduce** ``` samples = stats.beta(2,2).rvs(100) width = 10 fig, ax = plt.subplots(figsize=(width, 10)) az.plot_dot(samples, ax=ax) ax.set_title(f"Width: {width}") ax.set_xlim(0,1) ``` Then try this, but see that figure is not three times the width ``` width = 30 fig, ax = plt.subplots(figsize=(width, 10)) az.plot_dot(samples, ax=ax) ax.set_title(f"Width: {width}") ax.set_xlim(0,1) ``` ![image](https://user-images.githubusercontent.com/7213793/168452674-b1a38bf9-db25-459e-85b0-cd61348283cd.png) ![image](https://user-images.githubusercontent.com/7213793/168452677-1410fd7b-7208-4045-ac8d-cbc52c0595dd.png) **Expected behavior** Figsize from `plt.subplots` is respected **Additional context** Arviz '0.12.0'
searx__searx-1304
[ { "content": "# Piratebay (Videos, Music, Files)\n#\n# @website https://thepiratebay.se\n# @provide-api no (nothing found)\n#\n# @using-api no\n# @results HTML (using search portal)\n# @stable yes (HTML can change)\n# @parse url, title, content, seed, leech, magnetlink\n\nfrom lxml import html\nfrom operator import itemgetter\nfrom searx.engines.xpath import extract_text\nfrom searx.url_utils import quote, urljoin\n\n# engine dependent config\ncategories = ['videos', 'music', 'files']\npaging = True\n\n# search-url\nurl = 'https://thepiratebay.se/'\nsearch_url = url + 'search/{search_term}/{pageno}/99/{search_type}'\n\n# piratebay specific type-definitions\nsearch_types = {'files': '0',\n 'music': '100',\n 'videos': '200'}\n\n# specific xpath variables\nmagnet_xpath = './/a[@title=\"Download this torrent using magnet\"]'\ntorrent_xpath = './/a[@title=\"Download this torrent\"]'\ncontent_xpath = './/font[@class=\"detDesc\"]'\n\n\n# do search-request\ndef request(query, params):\n search_type = search_types.get(params['category'], '0')\n\n params['url'] = search_url.format(search_term=quote(query),\n search_type=search_type,\n pageno=params['pageno'] - 1)\n\n return params\n\n\n# get response from search-request\ndef response(resp):\n results = []\n\n dom = html.fromstring(resp.text)\n\n search_res = dom.xpath('//table[@id=\"searchResult\"]//tr')\n\n # return empty array if nothing is found\n if not search_res:\n return []\n\n # parse results\n for result in search_res[1:]:\n link = result.xpath('.//div[@class=\"detName\"]//a')[0]\n href = urljoin(url, link.attrib.get('href'))\n title = extract_text(link)\n content = extract_text(result.xpath(content_xpath))\n seed, leech = result.xpath('.//td[@align=\"right\"]/text()')[:2]\n\n # convert seed to int if possible\n if seed.isdigit():\n seed = int(seed)\n else:\n seed = 0\n\n # convert leech to int if possible\n if leech.isdigit():\n leech = int(leech)\n else:\n leech = 0\n\n magnetlink = result.xpath(magnet_xpath)[0]\n torrentfile_links = result.xpath(torrent_xpath)\n if torrentfile_links:\n torrentfile_link = torrentfile_links[0].attrib.get('href')\n else:\n torrentfile_link = None\n\n # append result\n results.append({'url': href,\n 'title': title,\n 'content': content,\n 'seed': seed,\n 'leech': leech,\n 'magnetlink': magnetlink.attrib.get('href'),\n 'torrentfile': torrentfile_link,\n 'template': 'torrent.html'})\n\n # return results sorted by seeder\n return sorted(results, key=itemgetter('seed'), reverse=True)\n", "path": "searx/engines/piratebay.py" } ]
[ { "content": "# Piratebay (Videos, Music, Files)\n#\n# @website https://thepiratebay.se\n# @provide-api no (nothing found)\n#\n# @using-api no\n# @results HTML (using search portal)\n# @stable yes (HTML can change)\n# @parse url, title, content, seed, leech, magnetlink\n\nfrom lxml import html\nfrom operator import itemgetter\nfrom searx.engines.xpath import extract_text\nfrom searx.url_utils import quote, urljoin\n\n# engine dependent config\ncategories = ['videos', 'music', 'files']\npaging = True\n\n# search-url\nurl = 'https://thepiratebay.org/'\nsearch_url = url + 'search/{search_term}/{pageno}/99/{search_type}'\n\n# piratebay specific type-definitions\nsearch_types = {'files': '0',\n 'music': '100',\n 'videos': '200'}\n\n# specific xpath variables\nmagnet_xpath = './/a[@title=\"Download this torrent using magnet\"]'\ntorrent_xpath = './/a[@title=\"Download this torrent\"]'\ncontent_xpath = './/font[@class=\"detDesc\"]'\n\n\n# do search-request\ndef request(query, params):\n search_type = search_types.get(params['category'], '0')\n\n params['url'] = search_url.format(search_term=quote(query),\n search_type=search_type,\n pageno=params['pageno'] - 1)\n\n return params\n\n\n# get response from search-request\ndef response(resp):\n results = []\n\n dom = html.fromstring(resp.text)\n\n search_res = dom.xpath('//table[@id=\"searchResult\"]//tr')\n\n # return empty array if nothing is found\n if not search_res:\n return []\n\n # parse results\n for result in search_res[1:]:\n link = result.xpath('.//div[@class=\"detName\"]//a')[0]\n href = urljoin(url, link.attrib.get('href'))\n title = extract_text(link)\n content = extract_text(result.xpath(content_xpath))\n seed, leech = result.xpath('.//td[@align=\"right\"]/text()')[:2]\n\n # convert seed to int if possible\n if seed.isdigit():\n seed = int(seed)\n else:\n seed = 0\n\n # convert leech to int if possible\n if leech.isdigit():\n leech = int(leech)\n else:\n leech = 0\n\n magnetlink = result.xpath(magnet_xpath)[0]\n torrentfile_links = result.xpath(torrent_xpath)\n if torrentfile_links:\n torrentfile_link = torrentfile_links[0].attrib.get('href')\n else:\n torrentfile_link = None\n\n # append result\n results.append({'url': href,\n 'title': title,\n 'content': content,\n 'seed': seed,\n 'leech': leech,\n 'magnetlink': magnetlink.attrib.get('href'),\n 'torrentfile': torrentfile_link,\n 'template': 'torrent.html'})\n\n # return results sorted by seeder\n return sorted(results, key=itemgetter('seed'), reverse=True)\n", "path": "searx/engines/piratebay.py" } ]
diff --git a/searx/engines/piratebay.py b/searx/engines/piratebay.py index a5af8d824b..2f3f22a971 100644 --- a/searx/engines/piratebay.py +++ b/searx/engines/piratebay.py @@ -18,7 +18,7 @@ paging = True # search-url -url = 'https://thepiratebay.se/' +url = 'https://thepiratebay.org/' search_url = url + 'search/{search_term}/{pageno}/99/{search_type}' # piratebay specific type-definitions diff --git a/tests/unit/engines/test_piratebay.py b/tests/unit/engines/test_piratebay.py index 5699380be7..89a78e7965 100644 --- a/tests/unit/engines/test_piratebay.py +++ b/tests/unit/engines/test_piratebay.py @@ -15,7 +15,7 @@ def test_request(self): params = piratebay.request(query, dicto) self.assertIn('url', params) self.assertIn(query, params['url']) - self.assertIn('piratebay.se', params['url']) + self.assertIn('piratebay.org', params['url']) self.assertIn('0', params['url']) dicto['category'] = 'music' @@ -99,7 +99,7 @@ def test_response(self): self.assertEqual(type(results), list) self.assertEqual(len(results), 2) self.assertEqual(results[0]['title'], 'This is the title') - self.assertEqual(results[0]['url'], 'https://thepiratebay.se/this.is.the.link') + self.assertEqual(results[0]['url'], 'https://thepiratebay.org/this.is.the.link') self.assertEqual(results[0]['content'], 'This is the content and should be OK') self.assertEqual(results[0]['seed'], 13) self.assertEqual(results[0]['leech'], 334) @@ -149,7 +149,7 @@ def test_response(self): self.assertEqual(type(results), list) self.assertEqual(len(results), 1) self.assertEqual(results[0]['title'], 'This is the title') - self.assertEqual(results[0]['url'], 'https://thepiratebay.se/this.is.the.link') + self.assertEqual(results[0]['url'], 'https://thepiratebay.org/this.is.the.link') self.assertEqual(results[0]['content'], 'This is the content and should be OK') self.assertEqual(results[0]['seed'], 0) self.assertEqual(results[0]['leech'], 0)
Engines cannot retrieve results: piratebay (request exception): PirateBay changed URL When some text is entered, and I click on General and Files several times, it shows this error: ``` Error! Engines cannot retrieve results. piratebay (request exception) Please, try again later or find another searx instance. ``` Version 0.14.0 on FreeBSD. Default config.
psychopy__psychopy-5057
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n# -----------------------------------------------------------------------------\n#\n# FreeType high-level python API - Copyright 2011-2015 Nicolas P. Rougier\n# Distributed under the terms of the new BSD license.\n#\n# -----------------------------------------------------------------------------\n# Shader compilation code\n# -----------------------------------------------------------------------------\n#\n# Copyright Tristam Macdonald 2008.\n#\n# Distributed under the Boost Software License, Version 1.0\n# (see http://www.boost.org/LICENSE_1_0.txt)\n#\nimport re\nimport sys, os\nimport math\nimport numpy as np\nimport ctypes\nimport freetype as ft\nfrom pyglet import gl # import OpenGL.GL not compatible with Big Sur (2020)\nfrom pathlib import Path\nimport requests\n\nfrom psychopy import logging\nfrom psychopy import prefs\nfrom psychopy.exceptions import MissingFontError\n\n# OS Font paths\n_X11FontDirectories = [\n # an old standard installation point\n \"/usr/X11R6/lib/X11/fonts/TTF\",\n \"/usr/X11/lib/X11/fonts\",\n # here is the new standard location for fonts\n \"/usr/share/fonts\",\n # documented as a good place to install new fonts\n \"/usr/local/share/fonts\",\n # common application, not really useful\n \"/usr/lib/openoffice/share/fonts/truetype\",\n]\n\n_OSXFontDirectories = [\n \"/Library/Fonts/\",\n \"/Network/Library/Fonts\",\n \"/System/Library/Fonts\",\n # fonts installed via MacPorts\n \"/opt/local/share/fonts\",\n]\n\n_weightMap = {\n # Map of various potential values for \"bold\" and the numeric font weight which they correspond to\n 100: 100, \"thin\": 100, \"hairline\": 100,\n 200: 200, \"extralight\": 200, \"ultralight\": 200,\n 300: 300, \"light\": 300,\n 400: 400, False: 400, \"normal\": 400, \"regular\": 400,\n 500: 500, \"medium\": 500,\n 600: 600, \"semibold\": 600, \"demibold\": 600,\n 700: 700, \"bold\": 700, True: 700,\n 800: 800, \"extrabold\": 800, \"ultrabold\": 800,\n 900: 900, \"black\": 900, \"heavy\": 900,\n 950: 950, \"extrablack\": 950, \"ultrablack\": 950\n}\n\nsupportedExtensions = ['ttf', 'otf', 'ttc', 'dfont', 'truetype']\n\n\ndef unicode(s, fmt='utf-8'):\n \"\"\"Force to unicode if bytes\"\"\"\n if type(s) == bytes:\n return s.decode(fmt)\n else:\n return s\n\n# this class was to get aorund the issue of constantly having to convert to\n# and from utf-8 because the ft.Face class uses b'' for family_name,\n# family_style but the problems run deeper than that (hot mess!). Maybe ft will\n# update with better Py3 support?\n# class Face(ft.Face):\n# \"\"\"This is the same as freetype Face class but with unicode face\"\"\"\n# def __init__(self, *args, **kwargs):\n# self._ftFace = ft.Face(self, *args, **kwargs)\n# # store original properties of the ft.Face\n# self._family_name = ft.Face\n#\n# @property\n# def family_name(self):\n# return unicode(self._ftFace.family_name)\n#\n# @property\n# def style_name(self):\n# return unicode(self._ftFace.style_name)\n#\n# def __get__(self, att):\n# if att in self.__dict__:\n# return self.__dict__[att]\n# else:\n# try:\n# return getattr(self._ftFace, att)\n# except AttributeError:\n# raise AttributeError(\"freetype.Face has no attribute '{}'\"\n# .format(att))\n\nclass _TextureAtlas:\n \"\"\" A TextureAtlas is the texture used by the GLFont to store the glyphs\n\n Group multiple small data regions into a larger texture.\n\n The algorithm is based on the article by Jukka Jylänki : \"A Thousand Ways\n to Pack the Bin - A Practical Approach to Two-Dimensional Rectangle Bin\n Packing\", February 27, 2010. More precisely, this is an implementation of\n the Skyline Bottom-Left algorithm based on C++ sources provided by Jukka\n Jylänki at: http://clb.demon.fi/files/RectangleBinPack/\n\n Example usage:\n --------------\n\n atlas = TextureAtlas(512,512,3)\n region = atlas.get_region(20,20)\n ...\n atlas.set_region(region, data)\n \"\"\"\n\n def __init__(self, width=2048, height=2048, format='alpha',\n name='fontname'): # name just for logging purposes\n \"\"\"\n Initialize a new atlas of given size.\n\n Parameters\n ----------\n\n width : int\n Width of the underlying texture\n\n height : int\n Height of the underlying texture\n\n format : 'alpha' or 'rgb'\n Depth of the underlying texture\n \"\"\"\n self.name = name\n self.width = int(math.pow(2, int(math.log(width, 2) + 0.5)))\n self.height = int(math.pow(2, int(math.log(height, 2) + 0.5)))\n self.format = format\n self.nodes = [(0, 0, self.width), ]\n self.textureID = 0\n self.used = 0\n if format == 'rgb':\n self.data = np.zeros((self.height, self.width, 3),\n dtype=np.ubyte)\n elif format == 'alpha':\n self.data = np.zeros((self.height, self.width),\n dtype=np.ubyte)\n else:\n raise TypeError(\"TextureAtlas should have format of 'alpha' or \"\n \"'rgb' not {}\".format(repr(format)))\n\n def set_region(self, region, data):\n \"\"\"\n Set a given region width provided data.\n\n Parameters\n ----------\n\n region : (int,int,int,int)\n an allocated region (x,y,width,height)\n\n data : numpy array\n data to be copied into given region\n \"\"\"\n\n x, y, width, height = region\n if self.format == 'rgb':\n self.data[int(y):int(y + height), int(x):int(x + width), :] = data\n else:\n self.data[int(y):int(y + height), int(x):int(x + width)] = data\n\n def get_region(self, width, height):\n \"\"\"\n Get a free region of given size and allocate it\n\n Parameters\n ----------\n\n width : int\n Width of region to allocate\n\n height : int\n Height of region to allocate\n\n Return\n ------\n A newly allocated region as (x,y,width,height) or (-1,-1,0,0)\n \"\"\"\n\n best_height = sys.maxsize\n best_index = -1\n best_width = sys.maxsize\n region = 0, 0, width, height\n\n for i in range(len(self.nodes)):\n y = self.fit(i, width, height)\n if y >= 0:\n node = self.nodes[i]\n if (y + height < best_height or\n (y + height == best_height and node[2] < best_width)):\n best_height = y + height\n best_index = i\n best_width = node[2]\n region = node[0], y, width, height\n\n if best_index == -1:\n return -1, -1, 0, 0\n\n node = region[0], region[1] + height, width\n self.nodes.insert(best_index, node)\n\n i = best_index + 1\n while i < len(self.nodes):\n node = self.nodes[i]\n prev_node = self.nodes[i - 1]\n if node[0] < prev_node[0] + prev_node[2]:\n shrink = prev_node[0] + prev_node[2] - node[0]\n x, y, w = self.nodes[i]\n self.nodes[i] = x + shrink, y, w - shrink\n if self.nodes[i][2] <= 0:\n del self.nodes[i]\n i -= 1\n else:\n break\n else:\n break\n i += 1\n\n self.merge()\n self.used += width * height\n return region\n\n def fit(self, index, width, height):\n \"\"\"\n Test if region (width,height) fit into self.nodes[index]\n\n Parameters\n ----------\n\n index : int\n Index of the internal node to be tested\n\n width : int\n Width or the region to be tested\n\n height : int\n Height or the region to be tested\n\n \"\"\"\n\n node = self.nodes[index]\n x, y = node[0], node[1]\n width_left = width\n\n if x + width > self.width:\n return -1\n\n i = index\n while width_left > 0:\n node = self.nodes[i]\n y = max(y, node[1])\n if y + height > self.height:\n return -1\n width_left -= node[2]\n i += 1\n return y\n\n def merge(self):\n \"\"\"\n Merge nodes\n \"\"\"\n\n i = 0\n while i < len(self.nodes) - 1:\n node = self.nodes[i]\n next_node = self.nodes[i + 1]\n if node[1] == next_node[1]:\n self.nodes[i] = node[0], node[1], node[2] + next_node[2]\n del self.nodes[i + 1]\n else:\n i += 1\n\n def upload(self):\n \"\"\"Upload the local atlas data into graphics card memory\n \"\"\"\n if not self.textureID:\n self.textureID = gl.GLuint(0)\n gl.glGenTextures(1, ctypes.byref(self.textureID))\n logging.debug(\"Uploading Texture Font {} to graphics card\"\n .format(self.name))\n gl.glBindTexture(gl.GL_TEXTURE_2D, self.textureID)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_WRAP_S, gl.GL_CLAMP)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_WRAP_T, gl.GL_CLAMP)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)\n if self.format == 'alpha':\n gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_ALPHA,\n self.width, self.height, 0,\n gl.GL_ALPHA, gl.GL_UNSIGNED_BYTE, self.data.ctypes)\n else:\n gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_RGB,\n self.width, self.height, 0,\n gl.GL_RGB, gl.GL_UNSIGNED_BYTE, self.data.ctypes)\n logging.debug(\"Upload of Texture Font {} complete\"\n .format(self.name))\n\n gl.glBindTexture(gl.GL_TEXTURE_2D, 0)\n\n\nclass GLFont:\n \"\"\"\n A GLFont gathers a set of glyphs for a given font filename and size.\n\n size : int\n Distance between the tops of capital letters and the bottoms of descenders\n\n height : int\n Total distance from one baseline to the next\n\n capheight : int\n Position of the tops of capital letters relative to the baseline\n\n ascender : int\n Position of the tops of ascenders relative to the baseline\n\n descender : int\n Position of the bottoms of descenders relative to the baseline\n\n linegap : int\n Distance between the bottoms of this line's descenders and the tops of the next line's ascenders\n\n leading : int\n Position of the tops of the next line's ascenders relative to this line's baseline\n \"\"\"\n\n def __init__(self, filename, size, lineSpacing=1, textureSize=2048):\n \"\"\"\n Initialize font\n\n Parameters:\n -----------\n\n atlas: TextureAtlas\n Texture atlas where glyph texture will be stored\n \n filename: str\n Font filename\n\n size : float\n Font size\n\n lineSpacing : float\n Leading between lines, proportional to font size\n \"\"\"\n self.scale = 64.0\n self.atlas = _TextureAtlas(textureSize, textureSize, format='alpha')\n self.format = self.atlas.format\n self.filename = filename\n self.face = ft.Face(str(filename)) # ft.Face doesn't support Pathlib yet\n self.size = size\n self.glyphs = {}\n self.info = FontInfo(filename, self.face)\n self._dirty = False\n # Get metrics\n metrics = self.face.size\n self.ascender = metrics.ascender / self.scale\n self.descender = metrics.descender / self.scale\n self.height = metrics.height / self.scale\n # Set spacing\n self.lineSpacing = lineSpacing\n\n def __getitem__(self, charcode):\n \"\"\"\n x.__getitem__(y) <==> x[y]\n \"\"\"\n if charcode not in self.glyphs:\n self.fetch('%c' % charcode)\n return self.glyphs[charcode]\n\n def __str__(self):\n \"\"\"Returns a string rep of the font, such as 'Arial_24_bold' \"\"\"\n return \"{}_{}\".format(self.info, self.size)\n\n @property\n def leading(self):\n \"\"\"\n Position of the next row's ascender line relative to this row's base line.\n \"\"\"\n return self.ascender - self.height\n\n @leading.setter\n def leading(self, value):\n self.height = self.ascender - value\n\n @property\n def linegap(self):\n return -(self.leading - self.descender)\n\n @linegap.setter\n def linegap(self, value):\n self.leading = self.descender - value\n\n @property\n def capheight(self):\n \"\"\"\n Position of the top of capital letters relative to the base line.\n \"\"\"\n return self.descender + self.size\n\n @capheight.setter\n def capheight(self, value):\n self.size = value - self.descender\n\n @property\n def size(self):\n \"\"\"\n Distance from the descender line to the capheight line.\n \"\"\"\n if hasattr(self, \"_size\"):\n return self._size\n\n @size.setter\n def size(self, value):\n self._size = value\n self.face.set_char_size(int(self.size * self.scale))\n\n @property\n def lineSpacing(self):\n return self.height / (self.ascender - self.descender)\n\n @lineSpacing.setter\n def lineSpacing(self, value):\n self.height = value * (self.ascender - self.descender)\n\n @property\n def name(self):\n \"\"\"Name of the Font (e.g. 'Arial_24_bold')\n \"\"\"\n return str(self)\n\n @property\n def textureID(self):\n \"\"\"\n Get underlying texture identity .\n \"\"\"\n\n if self._dirty:\n self.atlas.upload()\n self._dirty = False\n return self.atlas.textureID\n\n def preload(self, nMax=None):\n \"\"\"\n :return:\n \"\"\"\n if nMax is None:\n note = \"entire glyph set\"\n else:\n note = \"{} glyphs\".format(nMax)\n logging.debug(\"Preloading {} for Texture Font {}\"\n .format(note, self.name))\n face = ft.Face(str(self.filename)) # ft.Face doesn't support Pathlib\n\n chrs = (list(face.get_chars()))[:nMax]\n charcodes = [chr(c[1]) for c in chrs]\n self.fetch(charcodes, face=face)\n logging.debug(\"Preloading of glyph set for Texture Font {} complete\"\n .format(self.name))\n\n def fetch(self, charcodes='', face=None):\n \"\"\"\n Build glyphs corresponding to individual characters in charcodes.\n\n Parameters:\n -----------\n\n charcodes: [str | unicode]\n Set of characters to be represented\n \"\"\"\n if face is None:\n face = ft.Face(str(self.filename)) # doesn't support Pathlib yet\n\n # if current glyph is same as last then maybe blank glyph?\n lastGlyph = None\n possibleBlank = None\n nBlanks = 0\n\n for charcode in charcodes:\n if charcode in self.glyphs:\n continue\n face.set_pixel_sizes(int(self.size), int(self.size))\n\n self._dirty = True\n flags = ft.FT_LOAD_RENDER | ft.FT_LOAD_FORCE_AUTOHINT\n flags |= ft.FT_LOAD_TARGET_LCD\n\n face.load_char(charcode, flags)\n bitmap = face.glyph.bitmap\n # check if this looks like a blank (same as a prev glyph)\n if bitmap.buffer == lastGlyph:\n possibleBlank = lastGlyph\n if bitmap.buffer == possibleBlank: # whether newly detected or not\n nBlanks += 1\n continue\n lastGlyph = bitmap.buffer\n left = face.glyph.bitmap_left\n top = face.glyph.bitmap_top\n width = face.glyph.bitmap.width\n rows = face.glyph.bitmap.rows\n pitch = face.glyph.bitmap.pitch\n\n if self.format == 'rgb':\n x, y, w, h = self.atlas.get_region(width / 5, rows + 2)\n else:\n x, y, w, h = self.atlas.get_region(width + 2, rows + 2)\n\n if x < 0:\n msg = (\"Failed to fit char into font texture ({} at size {}px)\"\n .format(face.family_name, self.size))\n raise RuntimeError(msg)\n\n x, y = x + 1, y + 1\n w, h = w - 2, h - 2\n\n data = np.array(bitmap.buffer).reshape(rows, pitch)\n data = data[:h, :w]\n\n if self.format == 'rgb':\n Z = (((data / 255.0) ** 1.5) * 255).astype(np.ubyte)\n self.atlas.set_region((x, y, w, h), data)\n\n # Build glyph\n size = w, h\n offset = left, top\n advance = (face.glyph.advance.x / self.scale,\n face.glyph.advance.y / self.scale)\n\n u0 = (x + 0.0) / float(self.atlas.width)\n v0 = (y + 0.0) / float(self.atlas.height)\n u1 = (x + w - 0.0) / float(self.atlas.width)\n v1 = (y + h - 0.0) / float(self.atlas.height)\n texcoords = (u0, v0, u1, v1)\n glyph = TextureGlyph(charcode, size, offset, advance, texcoords)\n self.glyphs[charcode] = glyph\n\n # Generate kerning\n # for g in self.glyphs.values():\n # kerning = face.get_kerning(g.charcode, charcode,\n # mode=ft.FT_KERNING_UNFITTED)\n # if kerning.x != 0:\n # glyph.kerning[g.charcode] = kerning.x / self.scale\n #\n # kerning = face.get_kerning(charcode, g.charcode,\n # mode=ft.FT_KERNING_UNFITTED)\n # if kerning.x != 0:\n # g.kerning[charcode] = kerning.x / self.scale\n\n logging.debug(\"TextBox2 loaded {} chars with {} blanks and {} valid\"\n .format(len(charcodes), nBlanks, len(charcodes) - nBlanks))\n\n def saveToCache(self):\n \"\"\"Store the current font texture as an image file.\n\n As yet we aren't storing the offset, advance and texcoords as needed to\n retrieve the necessary chars, but it's a start!\n (see TextureGlyph(charcode, size, offset, advance, texcoords) )\n\n \"\"\"\n from PIL import Image\n im = Image.fromarray(self.atlas.data)\n fname = \"{}/.psychopy3/{}_{}_texture.png\".format(\n os.path.expanduser(\"~\"), self.name, self.size)\n im.save(fname)\n\n def upload(self):\n \"\"\"Upload the font data into graphics card memory.\n \"\"\"\n self.atlas.upload()\n\n\nclass TextureGlyph:\n \"\"\"\n A texture glyph gathers information relative to the size/offset/advance and\n texture coordinates of a single character. It is generally built\n automatically by a TextureFont.\n \"\"\"\n\n def __init__(self, charcode, size, offset, advance, texcoords):\n \"\"\"\n Build a new texture glyph\n\n Parameter:\n ----------\n\n charcode : char\n Represented character\n\n size: tuple of 2 ints\n Glyph size in pixels\n\n offset: tuple of 2 floats\n Glyph offset relatively to anchor point\n\n advance: tuple of 2 floats\n Glyph advance\n\n texcoords: tuple of 4 floats\n Texture coordinates of bottom-left and top-right corner\n \"\"\"\n self.charcode = charcode\n self.size = size\n self.offset = offset\n self.advance = advance\n self.texcoords = texcoords\n self.kerning = {}\n\n def get_kerning(self, charcode):\n \"\"\" Get kerning information\n\n Parameters:\n -----------\n\n charcode: char\n Character preceding this glyph\n \"\"\"\n if charcode in self.kerning.keys():\n return self.kerning[charcode]\n else:\n return 0\n\n\ndef findFontFiles(folders=(), recursive=True):\n \"\"\"Search for font files in the folder (or system folders)\n\n Parameters\n ----------\n folders: iterable\n folders to search. If empty then search typical system folders\n\n Returns\n -------\n list of pathlib.Path objects\n \"\"\"\n searchPaths = folders\n if searchPaths is None or len(searchPaths)==0:\n if sys.platform == 'win32':\n searchPaths = [] # just leave it to matplotlib as below\n elif sys.platform == 'darwin':\n # on mac matplotlib doesn't include 'ttc' files (which are fine)\n searchPaths = _OSXFontDirectories\n elif sys.platform.startswith('linux'):\n searchPaths = _X11FontDirectories\n # search those folders\n fontPaths = []\n for thisFolder in searchPaths:\n thisFolder = Path(thisFolder)\n try:\n for thisExt in supportedExtensions:\n if recursive:\n fontPaths.extend(thisFolder.rglob(\"*.{}\".format(thisExt)))\n else:\n fontPaths.extend(thisFolder.glob(\"*.{}\".format(thisExt)))\n except PermissionError:\n logging.warning(f\"The fonts folder '{thisFolder}' exists but the current user doesn't have read \"\n \"access to it. Fonts from that folder won't be available to TextBox\")\n\n # if we failed let matplotlib have a go\n if not fontPaths:\n from matplotlib import font_manager\n fontPaths = font_manager.findSystemFonts()\n\n # search resources folder and user's own fonts folder\n for thisFolder in [Path(prefs.paths['fonts']), Path(prefs.paths['resources']) / \"fonts\"]:\n for thisExt in supportedExtensions:\n if recursive:\n fontPaths.extend(thisFolder.rglob(\"*.{}\".format(thisExt)))\n else:\n fontPaths.extend(thisFolder.glob(\"*.{}\".format(thisExt)))\n return fontPaths\n\n\nclass FontManager():\n \"\"\"FontManager provides a simple API for finding and loading font files\n (.ttf) via the FreeType lib\n\n The FontManager finds supported font files on the computer and\n initially creates a dictionary containing the information about\n available fonts. This can be used to quickly determine what font family\n names are available on the computer and what styles (bold, italic) are\n supported for each family.\n\n This font information can then be used to create the resources necessary\n to display text using a given font family, style, size, color, and dpi.\n\n The FontManager is currently used by the psychopy.visual.TextBox stim\n type. A user script can access the FontManager via:\n\n fonts = visual.textbox2.getFontManager()\n\n A user script never creates an instance of the FontManager class and\n should always access it using visual.textbox.getFontManager().\n\n Once a font of a given size and dpi has been created; it is cached by the\n FontManager and can be used by all TextBox instances created within the\n experiment.\n\n \"\"\"\n freetype_import_error = None\n _glFonts = {}\n fontStyles = []\n _fontInfos = {} # JWP: dict of name:FontInfo objects\n\n def __init__(self, monospaceOnly=False):\n self.addFontDirectory(prefs.paths['resources'])\n # if FontManager.freetype_import_error:\n # raise Exception('Appears the freetype library could not load.\n # Error: %s'%(str(FontManager.freetype_import_error)))\n\n self.monospaceOnly = monospaceOnly\n self.updateFontInfo(monospaceOnly)\n\n def __str__(self):\n S = \"Loaded:\\n\"\n if len(self._glFonts):\n for name in self._glFonts:\n S += \" {}\\n\".format(name)\n else:\n S += \"None\\n\"\n S += (\"Available: {} see fonts.getFontFamilyNames()\\n\"\n .format(len(self.getFontFamilyNames())))\n return S\n\n def getDefaultSansFont(self):\n \"\"\"Load and return the FontInfo for the first found default font\"\"\"\n for name in ['Verdana', 'DejaVu Sans', 'Bitstream Vera Sans', 'Tahoma']:\n these = self.getFontsMatching(name, fallback=False)\n if not these:\n continue\n if type(these) in (list, set):\n this = these[0]\n # if str or Path then get a FontInfo object\n if type(this) in [str, Path]:\n this = self.addFontFiles(this)\n return this\n raise MissingFontError(\"Failed to find any of the default fonts. \"\n \"Existing fonts: {}\"\n .format(list(self._fontInfos)))\n\n def getFontFamilyNames(self):\n \"\"\"Returns a list of the available font family names.\n \"\"\"\n return list(self._fontInfos.keys())\n\n def getFontStylesForFamily(self, family_name):\n \"\"\"For the given family, a list of style names supported is\n returned.\n \"\"\"\n style_dict = self._fontInfos.get(family_name)\n if style_dict:\n return list(style_dict.keys())\n\n def getFontFamilyStyles(self):\n \"\"\"Returns a list where each element of the list is a itself a\n two element list of [fontName,[fontStyle_names_list]]\n \"\"\"\n return self.fontStyles\n\n def getFontsMatching(self, fontName, bold=False, italic=False,\n fontStyle=None, fallback=True):\n \"\"\"\n Returns the list of FontInfo instances that match the provided\n fontName and style information. If no matching fonts are\n found, None is returned.\n \"\"\"\n if type(fontName) != bytes:\n fontName = bytes(fontName, sys.getfilesystemencoding())\n # Convert value of \"bold\" to a numeric font weight\n if bold in _weightMap or str(bold).lower().strip() in _weightMap:\n bold = _weightMap[bold]\n else:\n bold = _weightMap[False] # Default to regular\n style_dict = self._fontInfos.get(fontName)\n if not style_dict:\n if not fallback:\n return None\n similar = self.getFontNamesSimilar(fontName)\n if len(similar) == 0:\n logging.warning(\"Font {} was requested. No similar font found.\".format(repr(fontName)))\n return [self.getDefaultSansFont()]\n elif len(similar) == 1:\n logging.warning(\"Font {} was requested. Exact match wasn't \"\n \"found but we will proceed with {}?\"\n .format(repr(fontName), repr(similar[0])))\n style_dict = self._fontInfos.get(similar[0])\n else: # more than 1 alternatives. Which to use?\n raise ValueError(\"Font {} was requested. Exact match wasn't \"\n \"found, but maybe one of these was intended:\"\n \"{}?\".format(repr(fontName), similar))\n if not style_dict:\n return None\n # check if we have a valid style too\n if fontStyle and fontStyle in style_dict:\n return style_dict[fontStyle]\n for style, fonts in style_dict.items():\n b, i = self.booleansFromStyleName(style)\n if b == bold and i == italic:\n return fonts\n return None\n\n def getFontNamesSimilar(self, fontName):\n if type(fontName) != bytes:\n fontName = bytes(fontName, sys.getfilesystemencoding())\n allNames = list(self._fontInfos)\n similar = [this for this in allNames if\n (fontName.lower() in this.lower())]\n return similar\n\n def addGoogleFont(self, fontName):\n \"\"\"Add a font directly from the Google Font repository, saving it to the user prefs folder\"\"\"\n\n # Construct and send Google Font url from name\n repoURL = f\"https://fonts.googleapis.com/css2?family={ fontName.replace(' ', '+') }&display=swap\"\n repoResp = requests.get(repoURL)\n if not repoResp.ok:\n # If font name is not found, raise error\n raise MissingFontError(\"Font `{}` could not be retrieved from the Google Font library.\".format(fontName))\n # Get and send file url from returned CSS data\n fileURL = re.findall(r\"(?<=src: url\\().*(?=\\) format)\", repoResp.content.decode())[0]\n fileFormat = re.findall(r\"(?<=format\\(\\').*(?=\\'\\)\\;)\", repoResp.content.decode())[0]\n fileResp = requests.get(fileURL)\n if not fileResp.ok:\n # If font file is not available, raise error\n raise MissingFontError(\"OST file for Google font `{}` could not be accessed\".format(fontName))\n # Save retrieved font as an OST file\n fileName = Path(prefs.paths['fonts']) / f\"{fontName}.{fileFormat}\"\n logging.info(\"Font \\\"{}\\\" was successfully installed at: {}\".format(fontName, prefs.paths['fonts']))\n with open(fileName, \"wb\") as fileObj:\n fileObj.write(fileResp.content)\n # Add font and return\n return self.addFontFile(fileName)\n\n def addFontFile(self, fontPath, monospaceOnly=False):\n \"\"\"Add a Font File to the FontManger font search space. The\n fontPath must be a valid path including the font file name.\n Relative paths can be used, with the current working directory being\n the origin.\n\n If monospaceOnly is True, the font file will only be added if it is a\n monospace font.\n\n Adding a Font to the FontManager is not persistent across runs of\n the script, so any extra font paths need to be added each time the\n script starts.\n \"\"\"\n fi_list = set()\n if os.path.isfile(fontPath) and os.path.exists(fontPath):\n try:\n face = ft.Face(str(fontPath))\n except Exception:\n logging.warning(\"Font Manager failed to load file {}\"\n .format(fontPath))\n return\n if face.family_name is None:\n logging.warning(\"{} doesn't have valid font family name\"\n .format(fontPath))\n return\n if monospaceOnly:\n if face.is_fixed_width:\n fi_list.add(self._createFontInfo(fontPath, face))\n else:\n fi_list.add(self._createFontInfo(fontPath, face))\n return fi_list\n\n def addFontFiles(self, fontPaths, monospaceOnly=False):\n \"\"\" Add a list of font files to the FontManger font search space.\n Each element of the fontPaths list must be a valid path including\n the font file name. Relative paths can be used, with the current\n working directory being the origin.\n\n If monospaceOnly is True, each font file will only be added if it is\n a monospace font.\n\n Adding fonts to the FontManager is not persistent across runs of\n the script, so any extra font paths need to be added each time the\n script starts.\n \"\"\"\n\n fi_list = []\n for fp in fontPaths:\n self.addFontFile(fp, monospaceOnly)\n self.fontStyles.sort()\n\n return fi_list\n\n def addFontDirectory(self, fontDir, monospaceOnly=False, recursive=False):\n \"\"\"\n Add any font files found in fontDir to the FontManger font search\n space. Each element of the fontPaths list must be a valid path\n including the font file name. Relative paths can be used, with the\n current working directory being the origin.\n\n If monospaceOnly is True, each font file will only be added if it is\n a monospace font (as only monospace fonts are currently supported by\n TextBox).\n\n Adding fonts to the FontManager is not persistent across runs of\n the script, so any extra font paths need to be added each time the\n script starts.\n \"\"\"\n fontPaths = findFontFiles([fontDir], recursive=recursive)\n return self.addFontFiles(fontPaths)\n\n # Class methods for FontManager below this comment should not need to be\n # used by user scripts in most situations. Accessing them is okay.\n\n def getFont(self, name, size=32, bold=False, italic=False, lineSpacing=1,\n monospace=False):\n \"\"\"\n Return a FontAtlas object that matches the family name, style info,\n and size provided. FontAtlas objects are cached, so if multiple\n TextBox instances use the same font (with matching font properties)\n then the existing FontAtlas is returned. Otherwise, a new FontAtlas is\n created , added to the cache, and returned.\n \"\"\"\n fontInfos = self.getFontsMatching(name, bold, italic, fallback=False)\n if not fontInfos:\n # If font not found, try to retrieve it from Google\n try:\n self.addGoogleFont(name)\n except (MissingFontError, ValueError):\n pass\n # Then try again with fallback\n fontInfos = self.getFontsMatching(name, bold, italic, fallback=True)\n if not fontInfos:\n return False\n # If font is found, make glfont\n fontInfo = fontInfos[0]\n identifier = \"{}_{}\".format(str(fontInfo), size)\n glFont = self._glFonts.get(identifier)\n if glFont is None:\n glFont = GLFont(fontInfo.path, size, lineSpacing=lineSpacing)\n self._glFonts[identifier] = glFont\n\n return glFont\n\n def updateFontInfo(self, monospaceOnly=False):\n self._fontInfos.clear()\n del self.fontStyles[:]\n fonts_found = findFontFiles()\n self.addFontFiles(fonts_found, monospaceOnly)\n\n def booleansFromStyleName(self, style):\n \"\"\"\n For the given style name, return a\n bool indicating if the font is bold, and a second indicating\n if it is italics.\n \"\"\"\n italic = False\n bold = False\n s = style.lower().strip()\n if type(s) == bytes:\n s = s.decode('utf-8')\n # Work out Italic\n italic = False # Default false\n if s.find('italic') >= 0 or s.find('oblique') >= 0:\n italic = True\n # Work out font weight\n bold = _weightMap[False] # Default regular weight\n for key in _weightMap:\n if s.find(str(key)) >= 0:\n bold = _weightMap[key]\n return bold, italic\n\n def _createFontInfo(self, fp, fface):\n \"\"\"\"\"\"\n fns = (fface.family_name, fface.style_name)\n if fns in self.fontStyles:\n pass\n else:\n self.fontStyles.append(\n (fface.family_name, fface.style_name))\n\n styles_for_font_dict = FontManager._fontInfos.setdefault(\n fface.family_name, {})\n fonts_for_style = styles_for_font_dict.setdefault(fface.style_name, [])\n fi = FontInfo(fp, fface)\n fonts_for_style.append(fi)\n return fi\n\n def __del__(self):\n self.font_store = None\n if self._glFonts:\n self._glFonts.clear()\n self._glFonts = None\n if self._fontInfos:\n self._fontInfos.clear()\n self._fontInfos = None\n\n\nclass FontInfo():\n\n def __init__(self, fp, face):\n self.path = fp\n self.family = unicode(face.family_name)\n self.style = unicode(face.style_name)\n self.charmaps = [charmap.encoding_name for charmap in face.charmaps]\n self.num_faces = face.num_faces\n self.num_glyphs = face.num_glyphs\n # self.size_info= [dict(width=s.width,height=s.height,\n # x_ppem=s.x_ppem,y_ppem=s.y_ppem) for s in face.available_sizes]\n self.units_per_em = face.units_per_EM\n self.monospace = face.is_fixed_width\n self.charmap_id = face.charmap.index\n self.label = \"%s_%s\" % (face.family_name, face.style_name)\n\n def __str__(self):\n \"\"\"Generate a string identifier for this font name_style\n \"\"\"\n fullName = \"{}\".format(self.family)\n if self.style:\n fullName += \"_\" + self.style\n return fullName\n\n def asdict(self):\n d = {}\n for k, v in self.__dict__.items():\n if k[0] != '_':\n d[k] = v\n return d\n", "path": "psychopy/visual/textbox2/fontmanager.py" } ]
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n# -----------------------------------------------------------------------------\n#\n# FreeType high-level python API - Copyright 2011-2015 Nicolas P. Rougier\n# Distributed under the terms of the new BSD license.\n#\n# -----------------------------------------------------------------------------\n# Shader compilation code\n# -----------------------------------------------------------------------------\n#\n# Copyright Tristam Macdonald 2008.\n#\n# Distributed under the Boost Software License, Version 1.0\n# (see http://www.boost.org/LICENSE_1_0.txt)\n#\nimport re\nimport sys, os\nimport math\nimport numpy as np\nimport ctypes\nimport freetype as ft\nfrom pyglet import gl # import OpenGL.GL not compatible with Big Sur (2020)\nfrom pathlib import Path\nimport requests\n\nfrom psychopy import logging\nfrom psychopy import prefs\nfrom psychopy.exceptions import MissingFontError\n\n# OS Font paths\n_X11FontDirectories = [\n # an old standard installation point\n \"/usr/X11R6/lib/X11/fonts/TTF\",\n \"/usr/X11/lib/X11/fonts\",\n # here is the new standard location for fonts\n \"/usr/share/fonts\",\n # documented as a good place to install new fonts\n \"/usr/local/share/fonts\",\n # common application, not really useful\n \"/usr/lib/openoffice/share/fonts/truetype\",\n]\n\n_OSXFontDirectories = [\n \"/Library/Fonts/\",\n str(Path.home() / \"Library\" / \"Fonts\"),\n \"/Network/Library/Fonts\",\n \"/System/Library/Fonts\",\n # fonts installed via MacPorts\n \"/opt/local/share/fonts\",\n]\n\n_weightMap = {\n # Map of various potential values for \"bold\" and the numeric font weight which they correspond to\n 100: 100, \"thin\": 100, \"hairline\": 100,\n 200: 200, \"extralight\": 200, \"ultralight\": 200,\n 300: 300, \"light\": 300,\n 400: 400, False: 400, \"normal\": 400, \"regular\": 400,\n 500: 500, \"medium\": 500,\n 600: 600, \"semibold\": 600, \"demibold\": 600,\n 700: 700, \"bold\": 700, True: 700,\n 800: 800, \"extrabold\": 800, \"ultrabold\": 800,\n 900: 900, \"black\": 900, \"heavy\": 900,\n 950: 950, \"extrablack\": 950, \"ultrablack\": 950\n}\n\nsupportedExtensions = ['ttf', 'otf', 'ttc', 'dfont', 'truetype']\n\n\ndef unicode(s, fmt='utf-8'):\n \"\"\"Force to unicode if bytes\"\"\"\n if type(s) == bytes:\n return s.decode(fmt)\n else:\n return s\n\n# this class was to get aorund the issue of constantly having to convert to\n# and from utf-8 because the ft.Face class uses b'' for family_name,\n# family_style but the problems run deeper than that (hot mess!). Maybe ft will\n# update with better Py3 support?\n# class Face(ft.Face):\n# \"\"\"This is the same as freetype Face class but with unicode face\"\"\"\n# def __init__(self, *args, **kwargs):\n# self._ftFace = ft.Face(self, *args, **kwargs)\n# # store original properties of the ft.Face\n# self._family_name = ft.Face\n#\n# @property\n# def family_name(self):\n# return unicode(self._ftFace.family_name)\n#\n# @property\n# def style_name(self):\n# return unicode(self._ftFace.style_name)\n#\n# def __get__(self, att):\n# if att in self.__dict__:\n# return self.__dict__[att]\n# else:\n# try:\n# return getattr(self._ftFace, att)\n# except AttributeError:\n# raise AttributeError(\"freetype.Face has no attribute '{}'\"\n# .format(att))\n\nclass _TextureAtlas:\n \"\"\" A TextureAtlas is the texture used by the GLFont to store the glyphs\n\n Group multiple small data regions into a larger texture.\n\n The algorithm is based on the article by Jukka Jylänki : \"A Thousand Ways\n to Pack the Bin - A Practical Approach to Two-Dimensional Rectangle Bin\n Packing\", February 27, 2010. More precisely, this is an implementation of\n the Skyline Bottom-Left algorithm based on C++ sources provided by Jukka\n Jylänki at: http://clb.demon.fi/files/RectangleBinPack/\n\n Example usage:\n --------------\n\n atlas = TextureAtlas(512,512,3)\n region = atlas.get_region(20,20)\n ...\n atlas.set_region(region, data)\n \"\"\"\n\n def __init__(self, width=2048, height=2048, format='alpha',\n name='fontname'): # name just for logging purposes\n \"\"\"\n Initialize a new atlas of given size.\n\n Parameters\n ----------\n\n width : int\n Width of the underlying texture\n\n height : int\n Height of the underlying texture\n\n format : 'alpha' or 'rgb'\n Depth of the underlying texture\n \"\"\"\n self.name = name\n self.width = int(math.pow(2, int(math.log(width, 2) + 0.5)))\n self.height = int(math.pow(2, int(math.log(height, 2) + 0.5)))\n self.format = format\n self.nodes = [(0, 0, self.width), ]\n self.textureID = 0\n self.used = 0\n if format == 'rgb':\n self.data = np.zeros((self.height, self.width, 3),\n dtype=np.ubyte)\n elif format == 'alpha':\n self.data = np.zeros((self.height, self.width),\n dtype=np.ubyte)\n else:\n raise TypeError(\"TextureAtlas should have format of 'alpha' or \"\n \"'rgb' not {}\".format(repr(format)))\n\n def set_region(self, region, data):\n \"\"\"\n Set a given region width provided data.\n\n Parameters\n ----------\n\n region : (int,int,int,int)\n an allocated region (x,y,width,height)\n\n data : numpy array\n data to be copied into given region\n \"\"\"\n\n x, y, width, height = region\n if self.format == 'rgb':\n self.data[int(y):int(y + height), int(x):int(x + width), :] = data\n else:\n self.data[int(y):int(y + height), int(x):int(x + width)] = data\n\n def get_region(self, width, height):\n \"\"\"\n Get a free region of given size and allocate it\n\n Parameters\n ----------\n\n width : int\n Width of region to allocate\n\n height : int\n Height of region to allocate\n\n Return\n ------\n A newly allocated region as (x,y,width,height) or (-1,-1,0,0)\n \"\"\"\n\n best_height = sys.maxsize\n best_index = -1\n best_width = sys.maxsize\n region = 0, 0, width, height\n\n for i in range(len(self.nodes)):\n y = self.fit(i, width, height)\n if y >= 0:\n node = self.nodes[i]\n if (y + height < best_height or\n (y + height == best_height and node[2] < best_width)):\n best_height = y + height\n best_index = i\n best_width = node[2]\n region = node[0], y, width, height\n\n if best_index == -1:\n return -1, -1, 0, 0\n\n node = region[0], region[1] + height, width\n self.nodes.insert(best_index, node)\n\n i = best_index + 1\n while i < len(self.nodes):\n node = self.nodes[i]\n prev_node = self.nodes[i - 1]\n if node[0] < prev_node[0] + prev_node[2]:\n shrink = prev_node[0] + prev_node[2] - node[0]\n x, y, w = self.nodes[i]\n self.nodes[i] = x + shrink, y, w - shrink\n if self.nodes[i][2] <= 0:\n del self.nodes[i]\n i -= 1\n else:\n break\n else:\n break\n i += 1\n\n self.merge()\n self.used += width * height\n return region\n\n def fit(self, index, width, height):\n \"\"\"\n Test if region (width,height) fit into self.nodes[index]\n\n Parameters\n ----------\n\n index : int\n Index of the internal node to be tested\n\n width : int\n Width or the region to be tested\n\n height : int\n Height or the region to be tested\n\n \"\"\"\n\n node = self.nodes[index]\n x, y = node[0], node[1]\n width_left = width\n\n if x + width > self.width:\n return -1\n\n i = index\n while width_left > 0:\n node = self.nodes[i]\n y = max(y, node[1])\n if y + height > self.height:\n return -1\n width_left -= node[2]\n i += 1\n return y\n\n def merge(self):\n \"\"\"\n Merge nodes\n \"\"\"\n\n i = 0\n while i < len(self.nodes) - 1:\n node = self.nodes[i]\n next_node = self.nodes[i + 1]\n if node[1] == next_node[1]:\n self.nodes[i] = node[0], node[1], node[2] + next_node[2]\n del self.nodes[i + 1]\n else:\n i += 1\n\n def upload(self):\n \"\"\"Upload the local atlas data into graphics card memory\n \"\"\"\n if not self.textureID:\n self.textureID = gl.GLuint(0)\n gl.glGenTextures(1, ctypes.byref(self.textureID))\n logging.debug(\"Uploading Texture Font {} to graphics card\"\n .format(self.name))\n gl.glBindTexture(gl.GL_TEXTURE_2D, self.textureID)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_WRAP_S, gl.GL_CLAMP)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_WRAP_T, gl.GL_CLAMP)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)\n gl.glTexParameteri(gl.GL_TEXTURE_2D,\n gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)\n if self.format == 'alpha':\n gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_ALPHA,\n self.width, self.height, 0,\n gl.GL_ALPHA, gl.GL_UNSIGNED_BYTE, self.data.ctypes)\n else:\n gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_RGB,\n self.width, self.height, 0,\n gl.GL_RGB, gl.GL_UNSIGNED_BYTE, self.data.ctypes)\n logging.debug(\"Upload of Texture Font {} complete\"\n .format(self.name))\n\n gl.glBindTexture(gl.GL_TEXTURE_2D, 0)\n\n\nclass GLFont:\n \"\"\"\n A GLFont gathers a set of glyphs for a given font filename and size.\n\n size : int\n Distance between the tops of capital letters and the bottoms of descenders\n\n height : int\n Total distance from one baseline to the next\n\n capheight : int\n Position of the tops of capital letters relative to the baseline\n\n ascender : int\n Position of the tops of ascenders relative to the baseline\n\n descender : int\n Position of the bottoms of descenders relative to the baseline\n\n linegap : int\n Distance between the bottoms of this line's descenders and the tops of the next line's ascenders\n\n leading : int\n Position of the tops of the next line's ascenders relative to this line's baseline\n \"\"\"\n\n def __init__(self, filename, size, lineSpacing=1, textureSize=2048):\n \"\"\"\n Initialize font\n\n Parameters:\n -----------\n\n atlas: TextureAtlas\n Texture atlas where glyph texture will be stored\n \n filename: str\n Font filename\n\n size : float\n Font size\n\n lineSpacing : float\n Leading between lines, proportional to font size\n \"\"\"\n self.scale = 64.0\n self.atlas = _TextureAtlas(textureSize, textureSize, format='alpha')\n self.format = self.atlas.format\n self.filename = filename\n self.face = ft.Face(str(filename)) # ft.Face doesn't support Pathlib yet\n self.size = size\n self.glyphs = {}\n self.info = FontInfo(filename, self.face)\n self._dirty = False\n # Get metrics\n metrics = self.face.size\n self.ascender = metrics.ascender / self.scale\n self.descender = metrics.descender / self.scale\n self.height = metrics.height / self.scale\n # Set spacing\n self.lineSpacing = lineSpacing\n\n def __getitem__(self, charcode):\n \"\"\"\n x.__getitem__(y) <==> x[y]\n \"\"\"\n if charcode not in self.glyphs:\n self.fetch('%c' % charcode)\n return self.glyphs[charcode]\n\n def __str__(self):\n \"\"\"Returns a string rep of the font, such as 'Arial_24_bold' \"\"\"\n return \"{}_{}\".format(self.info, self.size)\n\n @property\n def leading(self):\n \"\"\"\n Position of the next row's ascender line relative to this row's base line.\n \"\"\"\n return self.ascender - self.height\n\n @leading.setter\n def leading(self, value):\n self.height = self.ascender - value\n\n @property\n def linegap(self):\n return -(self.leading - self.descender)\n\n @linegap.setter\n def linegap(self, value):\n self.leading = self.descender - value\n\n @property\n def capheight(self):\n \"\"\"\n Position of the top of capital letters relative to the base line.\n \"\"\"\n return self.descender + self.size\n\n @capheight.setter\n def capheight(self, value):\n self.size = value - self.descender\n\n @property\n def size(self):\n \"\"\"\n Distance from the descender line to the capheight line.\n \"\"\"\n if hasattr(self, \"_size\"):\n return self._size\n\n @size.setter\n def size(self, value):\n self._size = value\n self.face.set_char_size(int(self.size * self.scale))\n\n @property\n def lineSpacing(self):\n return self.height / (self.ascender - self.descender)\n\n @lineSpacing.setter\n def lineSpacing(self, value):\n self.height = value * (self.ascender - self.descender)\n\n @property\n def name(self):\n \"\"\"Name of the Font (e.g. 'Arial_24_bold')\n \"\"\"\n return str(self)\n\n @property\n def textureID(self):\n \"\"\"\n Get underlying texture identity .\n \"\"\"\n\n if self._dirty:\n self.atlas.upload()\n self._dirty = False\n return self.atlas.textureID\n\n def preload(self, nMax=None):\n \"\"\"\n :return:\n \"\"\"\n if nMax is None:\n note = \"entire glyph set\"\n else:\n note = \"{} glyphs\".format(nMax)\n logging.debug(\"Preloading {} for Texture Font {}\"\n .format(note, self.name))\n face = ft.Face(str(self.filename)) # ft.Face doesn't support Pathlib\n\n chrs = (list(face.get_chars()))[:nMax]\n charcodes = [chr(c[1]) for c in chrs]\n self.fetch(charcodes, face=face)\n logging.debug(\"Preloading of glyph set for Texture Font {} complete\"\n .format(self.name))\n\n def fetch(self, charcodes='', face=None):\n \"\"\"\n Build glyphs corresponding to individual characters in charcodes.\n\n Parameters:\n -----------\n\n charcodes: [str | unicode]\n Set of characters to be represented\n \"\"\"\n if face is None:\n face = ft.Face(str(self.filename)) # doesn't support Pathlib yet\n\n # if current glyph is same as last then maybe blank glyph?\n lastGlyph = None\n possibleBlank = None\n nBlanks = 0\n\n for charcode in charcodes:\n if charcode in self.glyphs:\n continue\n face.set_pixel_sizes(int(self.size), int(self.size))\n\n self._dirty = True\n flags = ft.FT_LOAD_RENDER | ft.FT_LOAD_FORCE_AUTOHINT\n flags |= ft.FT_LOAD_TARGET_LCD\n\n face.load_char(charcode, flags)\n bitmap = face.glyph.bitmap\n # check if this looks like a blank (same as a prev glyph)\n if bitmap.buffer == lastGlyph:\n possibleBlank = lastGlyph\n if bitmap.buffer == possibleBlank: # whether newly detected or not\n nBlanks += 1\n continue\n lastGlyph = bitmap.buffer\n left = face.glyph.bitmap_left\n top = face.glyph.bitmap_top\n width = face.glyph.bitmap.width\n rows = face.glyph.bitmap.rows\n pitch = face.glyph.bitmap.pitch\n\n if self.format == 'rgb':\n x, y, w, h = self.atlas.get_region(width / 5, rows + 2)\n else:\n x, y, w, h = self.atlas.get_region(width + 2, rows + 2)\n\n if x < 0:\n msg = (\"Failed to fit char into font texture ({} at size {}px)\"\n .format(face.family_name, self.size))\n raise RuntimeError(msg)\n\n x, y = x + 1, y + 1\n w, h = w - 2, h - 2\n\n data = np.array(bitmap.buffer).reshape(rows, pitch)\n data = data[:h, :w]\n\n if self.format == 'rgb':\n Z = (((data / 255.0) ** 1.5) * 255).astype(np.ubyte)\n self.atlas.set_region((x, y, w, h), data)\n\n # Build glyph\n size = w, h\n offset = left, top\n advance = (face.glyph.advance.x / self.scale,\n face.glyph.advance.y / self.scale)\n\n u0 = (x + 0.0) / float(self.atlas.width)\n v0 = (y + 0.0) / float(self.atlas.height)\n u1 = (x + w - 0.0) / float(self.atlas.width)\n v1 = (y + h - 0.0) / float(self.atlas.height)\n texcoords = (u0, v0, u1, v1)\n glyph = TextureGlyph(charcode, size, offset, advance, texcoords)\n self.glyphs[charcode] = glyph\n\n # Generate kerning\n # for g in self.glyphs.values():\n # kerning = face.get_kerning(g.charcode, charcode,\n # mode=ft.FT_KERNING_UNFITTED)\n # if kerning.x != 0:\n # glyph.kerning[g.charcode] = kerning.x / self.scale\n #\n # kerning = face.get_kerning(charcode, g.charcode,\n # mode=ft.FT_KERNING_UNFITTED)\n # if kerning.x != 0:\n # g.kerning[charcode] = kerning.x / self.scale\n\n logging.debug(\"TextBox2 loaded {} chars with {} blanks and {} valid\"\n .format(len(charcodes), nBlanks, len(charcodes) - nBlanks))\n\n def saveToCache(self):\n \"\"\"Store the current font texture as an image file.\n\n As yet we aren't storing the offset, advance and texcoords as needed to\n retrieve the necessary chars, but it's a start!\n (see TextureGlyph(charcode, size, offset, advance, texcoords) )\n\n \"\"\"\n from PIL import Image\n im = Image.fromarray(self.atlas.data)\n fname = \"{}/.psychopy3/{}_{}_texture.png\".format(\n os.path.expanduser(\"~\"), self.name, self.size)\n im.save(fname)\n\n def upload(self):\n \"\"\"Upload the font data into graphics card memory.\n \"\"\"\n self.atlas.upload()\n\n\nclass TextureGlyph:\n \"\"\"\n A texture glyph gathers information relative to the size/offset/advance and\n texture coordinates of a single character. It is generally built\n automatically by a TextureFont.\n \"\"\"\n\n def __init__(self, charcode, size, offset, advance, texcoords):\n \"\"\"\n Build a new texture glyph\n\n Parameter:\n ----------\n\n charcode : char\n Represented character\n\n size: tuple of 2 ints\n Glyph size in pixels\n\n offset: tuple of 2 floats\n Glyph offset relatively to anchor point\n\n advance: tuple of 2 floats\n Glyph advance\n\n texcoords: tuple of 4 floats\n Texture coordinates of bottom-left and top-right corner\n \"\"\"\n self.charcode = charcode\n self.size = size\n self.offset = offset\n self.advance = advance\n self.texcoords = texcoords\n self.kerning = {}\n\n def get_kerning(self, charcode):\n \"\"\" Get kerning information\n\n Parameters:\n -----------\n\n charcode: char\n Character preceding this glyph\n \"\"\"\n if charcode in self.kerning.keys():\n return self.kerning[charcode]\n else:\n return 0\n\n\ndef findFontFiles(folders=(), recursive=True):\n \"\"\"Search for font files in the folder (or system folders)\n\n Parameters\n ----------\n folders: iterable\n folders to search. If empty then search typical system folders\n\n Returns\n -------\n list of pathlib.Path objects\n \"\"\"\n searchPaths = folders\n if searchPaths is None or len(searchPaths)==0:\n if sys.platform == 'win32':\n searchPaths = [] # just leave it to matplotlib as below\n elif sys.platform == 'darwin':\n # on mac matplotlib doesn't include 'ttc' files (which are fine)\n searchPaths = _OSXFontDirectories\n elif sys.platform.startswith('linux'):\n searchPaths = _X11FontDirectories\n # search those folders\n fontPaths = []\n for thisFolder in searchPaths:\n thisFolder = Path(thisFolder)\n try:\n for thisExt in supportedExtensions:\n if recursive:\n fontPaths.extend(thisFolder.rglob(\"*.{}\".format(thisExt)))\n else:\n fontPaths.extend(thisFolder.glob(\"*.{}\".format(thisExt)))\n except PermissionError:\n logging.warning(f\"The fonts folder '{thisFolder}' exists but the current user doesn't have read \"\n \"access to it. Fonts from that folder won't be available to TextBox\")\n\n # if we failed let matplotlib have a go\n if not fontPaths:\n from matplotlib import font_manager\n fontPaths = font_manager.findSystemFonts()\n\n # search resources folder and user's own fonts folder\n for thisFolder in [Path(prefs.paths['fonts']), Path(prefs.paths['resources']) / \"fonts\"]:\n for thisExt in supportedExtensions:\n if recursive:\n fontPaths.extend(thisFolder.rglob(\"*.{}\".format(thisExt)))\n else:\n fontPaths.extend(thisFolder.glob(\"*.{}\".format(thisExt)))\n return fontPaths\n\n\nclass FontManager():\n \"\"\"FontManager provides a simple API for finding and loading font files\n (.ttf) via the FreeType lib\n\n The FontManager finds supported font files on the computer and\n initially creates a dictionary containing the information about\n available fonts. This can be used to quickly determine what font family\n names are available on the computer and what styles (bold, italic) are\n supported for each family.\n\n This font information can then be used to create the resources necessary\n to display text using a given font family, style, size, color, and dpi.\n\n The FontManager is currently used by the psychopy.visual.TextBox stim\n type. A user script can access the FontManager via:\n\n fonts = visual.textbox2.getFontManager()\n\n A user script never creates an instance of the FontManager class and\n should always access it using visual.textbox.getFontManager().\n\n Once a font of a given size and dpi has been created; it is cached by the\n FontManager and can be used by all TextBox instances created within the\n experiment.\n\n \"\"\"\n freetype_import_error = None\n _glFonts = {}\n fontStyles = []\n _fontInfos = {} # JWP: dict of name:FontInfo objects\n\n def __init__(self, monospaceOnly=False):\n self.addFontDirectory(prefs.paths['resources'])\n # if FontManager.freetype_import_error:\n # raise Exception('Appears the freetype library could not load.\n # Error: %s'%(str(FontManager.freetype_import_error)))\n\n self.monospaceOnly = monospaceOnly\n self.updateFontInfo(monospaceOnly)\n\n def __str__(self):\n S = \"Loaded:\\n\"\n if len(self._glFonts):\n for name in self._glFonts:\n S += \" {}\\n\".format(name)\n else:\n S += \"None\\n\"\n S += (\"Available: {} see fonts.getFontFamilyNames()\\n\"\n .format(len(self.getFontFamilyNames())))\n return S\n\n def getDefaultSansFont(self):\n \"\"\"Load and return the FontInfo for the first found default font\"\"\"\n for name in ['Verdana', 'DejaVu Sans', 'Bitstream Vera Sans', 'Tahoma']:\n these = self.getFontsMatching(name, fallback=False)\n if not these:\n continue\n if type(these) in (list, set):\n this = these[0]\n # if str or Path then get a FontInfo object\n if type(this) in [str, Path]:\n this = self.addFontFiles(this)\n return this\n raise MissingFontError(\"Failed to find any of the default fonts. \"\n \"Existing fonts: {}\"\n .format(list(self._fontInfos)))\n\n def getFontFamilyNames(self):\n \"\"\"Returns a list of the available font family names.\n \"\"\"\n return list(self._fontInfos.keys())\n\n def getFontStylesForFamily(self, family_name):\n \"\"\"For the given family, a list of style names supported is\n returned.\n \"\"\"\n style_dict = self._fontInfos.get(family_name)\n if style_dict:\n return list(style_dict.keys())\n\n def getFontFamilyStyles(self):\n \"\"\"Returns a list where each element of the list is a itself a\n two element list of [fontName,[fontStyle_names_list]]\n \"\"\"\n return self.fontStyles\n\n def getFontsMatching(self, fontName, bold=False, italic=False,\n fontStyle=None, fallback=True):\n \"\"\"\n Returns the list of FontInfo instances that match the provided\n fontName and style information. If no matching fonts are\n found, None is returned.\n \"\"\"\n if type(fontName) != bytes:\n fontName = bytes(fontName, sys.getfilesystemencoding())\n # Convert value of \"bold\" to a numeric font weight\n if bold in _weightMap or str(bold).lower().strip() in _weightMap:\n bold = _weightMap[bold]\n else:\n bold = _weightMap[False] # Default to regular\n style_dict = self._fontInfos.get(fontName)\n if not style_dict:\n if not fallback:\n return None\n similar = self.getFontNamesSimilar(fontName)\n if len(similar) == 0:\n logging.warning(\"Font {} was requested. No similar font found.\".format(repr(fontName)))\n return [self.getDefaultSansFont()]\n elif len(similar) == 1:\n logging.warning(\"Font {} was requested. Exact match wasn't \"\n \"found but we will proceed with {}?\"\n .format(repr(fontName), repr(similar[0])))\n style_dict = self._fontInfos.get(similar[0])\n else: # more than 1 alternatives. Which to use?\n raise ValueError(\"Font {} was requested. Exact match wasn't \"\n \"found, but maybe one of these was intended:\"\n \"{}?\".format(repr(fontName), similar))\n if not style_dict:\n return None\n # check if we have a valid style too\n if fontStyle and fontStyle in style_dict:\n return style_dict[fontStyle]\n for style, fonts in style_dict.items():\n b, i = self.booleansFromStyleName(style)\n if b == bold and i == italic:\n return fonts\n return None\n\n def getFontNamesSimilar(self, fontName):\n if type(fontName) != bytes:\n fontName = bytes(fontName, sys.getfilesystemencoding())\n allNames = list(self._fontInfos)\n similar = [this for this in allNames if\n (fontName.lower() in this.lower())]\n return similar\n\n def addGoogleFont(self, fontName):\n \"\"\"Add a font directly from the Google Font repository, saving it to the user prefs folder\"\"\"\n\n # Construct and send Google Font url from name\n repoURL = f\"https://fonts.googleapis.com/css2?family={ fontName.replace(' ', '+') }&display=swap\"\n repoResp = requests.get(repoURL)\n if not repoResp.ok:\n # If font name is not found, raise error\n raise MissingFontError(\"Font `{}` could not be retrieved from the Google Font library.\".format(fontName))\n # Get and send file url from returned CSS data\n fileURL = re.findall(r\"(?<=src: url\\().*(?=\\) format)\", repoResp.content.decode())[0]\n fileFormat = re.findall(r\"(?<=format\\(\\').*(?=\\'\\)\\;)\", repoResp.content.decode())[0]\n fileResp = requests.get(fileURL)\n if not fileResp.ok:\n # If font file is not available, raise error\n raise MissingFontError(\"OST file for Google font `{}` could not be accessed\".format(fontName))\n # Save retrieved font as an OST file\n fileName = Path(prefs.paths['fonts']) / f\"{fontName}.{fileFormat}\"\n logging.info(\"Font \\\"{}\\\" was successfully installed at: {}\".format(fontName, prefs.paths['fonts']))\n with open(fileName, \"wb\") as fileObj:\n fileObj.write(fileResp.content)\n # Add font and return\n return self.addFontFile(fileName)\n\n def addFontFile(self, fontPath, monospaceOnly=False):\n \"\"\"Add a Font File to the FontManger font search space. The\n fontPath must be a valid path including the font file name.\n Relative paths can be used, with the current working directory being\n the origin.\n\n If monospaceOnly is True, the font file will only be added if it is a\n monospace font.\n\n Adding a Font to the FontManager is not persistent across runs of\n the script, so any extra font paths need to be added each time the\n script starts.\n \"\"\"\n fi_list = set()\n if os.path.isfile(fontPath) and os.path.exists(fontPath):\n try:\n face = ft.Face(str(fontPath))\n except Exception:\n logging.warning(\"Font Manager failed to load file {}\"\n .format(fontPath))\n return\n if face.family_name is None:\n logging.warning(\"{} doesn't have valid font family name\"\n .format(fontPath))\n return\n if monospaceOnly:\n if face.is_fixed_width:\n fi_list.add(self._createFontInfo(fontPath, face))\n else:\n fi_list.add(self._createFontInfo(fontPath, face))\n return fi_list\n\n def addFontFiles(self, fontPaths, monospaceOnly=False):\n \"\"\" Add a list of font files to the FontManger font search space.\n Each element of the fontPaths list must be a valid path including\n the font file name. Relative paths can be used, with the current\n working directory being the origin.\n\n If monospaceOnly is True, each font file will only be added if it is\n a monospace font.\n\n Adding fonts to the FontManager is not persistent across runs of\n the script, so any extra font paths need to be added each time the\n script starts.\n \"\"\"\n\n fi_list = []\n for fp in fontPaths:\n self.addFontFile(fp, monospaceOnly)\n self.fontStyles.sort()\n\n return fi_list\n\n def addFontDirectory(self, fontDir, monospaceOnly=False, recursive=False):\n \"\"\"\n Add any font files found in fontDir to the FontManger font search\n space. Each element of the fontPaths list must be a valid path\n including the font file name. Relative paths can be used, with the\n current working directory being the origin.\n\n If monospaceOnly is True, each font file will only be added if it is\n a monospace font (as only monospace fonts are currently supported by\n TextBox).\n\n Adding fonts to the FontManager is not persistent across runs of\n the script, so any extra font paths need to be added each time the\n script starts.\n \"\"\"\n fontPaths = findFontFiles([fontDir], recursive=recursive)\n return self.addFontFiles(fontPaths)\n\n # Class methods for FontManager below this comment should not need to be\n # used by user scripts in most situations. Accessing them is okay.\n\n def getFont(self, name, size=32, bold=False, italic=False, lineSpacing=1,\n monospace=False):\n \"\"\"\n Return a FontAtlas object that matches the family name, style info,\n and size provided. FontAtlas objects are cached, so if multiple\n TextBox instances use the same font (with matching font properties)\n then the existing FontAtlas is returned. Otherwise, a new FontAtlas is\n created , added to the cache, and returned.\n \"\"\"\n fontInfos = self.getFontsMatching(name, bold, italic, fallback=False)\n if not fontInfos:\n # If font not found, try to retrieve it from Google\n try:\n self.addGoogleFont(name)\n except (MissingFontError, ValueError):\n pass\n # Then try again with fallback\n fontInfos = self.getFontsMatching(name, bold, italic, fallback=True)\n if not fontInfos:\n return False\n # If font is found, make glfont\n fontInfo = fontInfos[0]\n identifier = \"{}_{}\".format(str(fontInfo), size)\n glFont = self._glFonts.get(identifier)\n if glFont is None:\n glFont = GLFont(fontInfo.path, size, lineSpacing=lineSpacing)\n self._glFonts[identifier] = glFont\n\n return glFont\n\n def updateFontInfo(self, monospaceOnly=False):\n self._fontInfos.clear()\n del self.fontStyles[:]\n fonts_found = findFontFiles()\n self.addFontFiles(fonts_found, monospaceOnly)\n\n def booleansFromStyleName(self, style):\n \"\"\"\n For the given style name, return a\n bool indicating if the font is bold, and a second indicating\n if it is italics.\n \"\"\"\n italic = False\n bold = False\n s = style.lower().strip()\n if type(s) == bytes:\n s = s.decode('utf-8')\n # Work out Italic\n italic = False # Default false\n if s.find('italic') >= 0 or s.find('oblique') >= 0:\n italic = True\n # Work out font weight\n bold = _weightMap[False] # Default regular weight\n for key in _weightMap:\n if s.find(str(key)) >= 0:\n bold = _weightMap[key]\n return bold, italic\n\n def _createFontInfo(self, fp, fface):\n \"\"\"\"\"\"\n fns = (fface.family_name, fface.style_name)\n if fns in self.fontStyles:\n pass\n else:\n self.fontStyles.append(\n (fface.family_name, fface.style_name))\n\n styles_for_font_dict = FontManager._fontInfos.setdefault(\n fface.family_name, {})\n fonts_for_style = styles_for_font_dict.setdefault(fface.style_name, [])\n fi = FontInfo(fp, fface)\n fonts_for_style.append(fi)\n return fi\n\n def __del__(self):\n self.font_store = None\n if self._glFonts:\n self._glFonts.clear()\n self._glFonts = None\n if self._fontInfos:\n self._fontInfos.clear()\n self._fontInfos = None\n\n\nclass FontInfo():\n\n def __init__(self, fp, face):\n self.path = fp\n self.family = unicode(face.family_name)\n self.style = unicode(face.style_name)\n self.charmaps = [charmap.encoding_name for charmap in face.charmaps]\n self.num_faces = face.num_faces\n self.num_glyphs = face.num_glyphs\n # self.size_info= [dict(width=s.width,height=s.height,\n # x_ppem=s.x_ppem,y_ppem=s.y_ppem) for s in face.available_sizes]\n self.units_per_em = face.units_per_EM\n self.monospace = face.is_fixed_width\n self.charmap_id = face.charmap.index\n self.label = \"%s_%s\" % (face.family_name, face.style_name)\n\n def __str__(self):\n \"\"\"Generate a string identifier for this font name_style\n \"\"\"\n fullName = \"{}\".format(self.family)\n if self.style:\n fullName += \"_\" + self.style\n return fullName\n\n def asdict(self):\n d = {}\n for k, v in self.__dict__.items():\n if k[0] != '_':\n d[k] = v\n return d\n", "path": "psychopy/visual/textbox2/fontmanager.py" } ]
diff --git a/psychopy/visual/textbox2/fontmanager.py b/psychopy/visual/textbox2/fontmanager.py index d68ca653b9..58f5e2fef9 100644 --- a/psychopy/visual/textbox2/fontmanager.py +++ b/psychopy/visual/textbox2/fontmanager.py @@ -43,6 +43,7 @@ _OSXFontDirectories = [ "/Library/Fonts/", + str(Path.home() / "Library" / "Fonts"), "/Network/Library/Fonts", "/System/Library/Fonts", # fonts installed via MacPorts
TextBox2 unable to find font in PsychoPy >= 2022.1.1 The following code works in PsychoPy Coder version 2021.2.3 as well as Spyder with Psychopy 2021.2.3. It fails in Psychopy Coder 2022.1.1, 2022.2.1, and 2022.2.3. Error mesage: `3.4919 WARNING Font b'/Users/MattPetersonsAccount/Documents/Development/PsychoPy/ScamDetection/chirp-regular.ttf' was requested. No similar font found. ` Code: ``` from PIL import Image, ImageDraw, ImageFont from psychopy import visual, core, gui ,event import os rootPath = dir_path = os.path.dirname(os.path.realpath(__file__)) fontPath = os.path.join(rootPath, "chirp-regular.ttf") win = visual.Window( size =[ 1024, 768], fullscr = False, color = (0,0,0,1), winType = "pyglet", units = "pix", allowStencil=True) with Image.open("images/topLeftTwitterStuff.png").convert("RGBA") as base: textBox = visual.TextBox2(win, "Hello", font=fontPath, pos= (0, 0), units="pix", letterHeight=40, size=None, color = (1.0, 1.0, 1.0) ) textBox.draw() vertices = textBox.verticesPix minX = min(vertices[:,0]) maxX = max(vertices[:,0]) minY = min(vertices[:,1]) maxY = max(vertices[:,1]) rWidth = maxX - minX rHeight = maxY - minY rPos = ( (minX+maxX)/2, (minY+maxY)/2), print(rWidth) print(rHeight) print(rPos) myRect = visual.Rect(win, width = maxX - minX, height = maxY - minY, pos = rPos, lineColor = (1.0, 1.0, 1.0) ) myRect.draw() print(textBox.verticesPix) win.flip() event.waitKeys() win.close() core.quit() ```
biolab__orange3-text-353
[ { "content": "from typing import Optional\n\nfrom itertools import chain\nfrom AnyQt.QtCore import Qt, QAbstractTableModel, QSize, QItemSelectionModel, \\\n QItemSelection, QModelIndex\nfrom AnyQt.QtWidgets import QSizePolicy, QApplication, QTableView, \\\n QStyledItemDelegate\nfrom AnyQt.QtGui import QColor\n\nfrom Orange.widgets import gui\nfrom Orange.widgets.settings import Setting, ContextSetting, PerfectDomainContextHandler\nfrom Orange.widgets.widget import OWWidget, Msg, Input, Output\nfrom nltk import ConcordanceIndex\nfrom orangecontrib.text.corpus import Corpus\nfrom orangecontrib.text.topics import Topic\nfrom orangecontrib.text.preprocess import WordPunctTokenizer\n\n\nclass HorizontalGridDelegate(QStyledItemDelegate):\n \"\"\"Class for setting elide.\"\"\"\n\n def paint(self, painter, option, index):\n if index.column() == 0:\n option.textElideMode = Qt.ElideLeft\n elif index.column() == 2:\n option.textElideMode = Qt.ElideRight\n QStyledItemDelegate.paint(self, painter, option, index)\n\n\nclass DocumentSelectionModel(QItemSelectionModel):\n \"\"\"Sets selection for QTableView. Creates a set of selected documents.\"\"\"\n\n def select(self, selection, flags):\n # which rows have been selected\n indexes = selection.indexes() if isinstance(selection, QItemSelection) \\\n else [selection]\n # prevent crashing when deleting the connection\n if not indexes:\n super().select(selection, flags)\n return\n # indexes[0].row() == -1 indicates clicking outside of the table\n if len(indexes) == 1 and indexes[0].row() == -1:\n self.clear()\n return\n word_index = self.model().word_index\n selected_docs = {word_index[index.row()][0] for index in indexes}\n selected_rows = [\n row_index for row_index, (doc_index, _) in enumerate(word_index)\n if doc_index in selected_docs]\n selection = QItemSelection()\n # select all rows belonging to the selected document\n for row in selected_rows:\n index = self.model().index(row, 0)\n selection.select(index, index)\n super().select(selection, flags)\n\n\nclass ConcordanceModel(QAbstractTableModel):\n \"\"\"A model for constructing concordances from text.\"\"\"\n\n def __init__(self):\n QAbstractTableModel.__init__(self)\n self.word = None\n self.corpus = None\n self.tokens = None\n self.n_tokens = None\n self.n_types = None\n self.indices = None\n self.word_index = None\n self.width = 8\n self.colored_rows = None\n\n def set_word(self, word):\n self.modelAboutToBeReset.emit()\n self.word = word\n self._compute_word_index()\n self.modelReset.emit()\n\n def set_corpus(self, corpus):\n self.modelAboutToBeReset.emit()\n self.corpus = corpus\n self.set_tokens()\n self._compute_indices()\n self._compute_word_index()\n self.modelReset.emit()\n\n def set_tokens(self):\n if self.corpus is None:\n self.tokens = None\n return\n tokenizer = WordPunctTokenizer()\n self.tokens = tokenizer(self.corpus.documents)\n self.n_tokens = sum(map(len, self.tokens))\n self.n_types = len(set(chain.from_iterable(self.tokens)))\n\n def set_width(self, width):\n self.modelAboutToBeReset.emit()\n self.width = width\n self.modelReset.emit()\n\n def flags(self, _):\n return Qt.ItemIsEnabled | Qt.ItemIsSelectable\n\n def rowCount(self, parent=QModelIndex(), *args, **kwargs):\n return 0 if parent.isValid() or self.word_index is None else len(self.word_index)\n\n def columnCount(self, parent=None, *args, **kwargs):\n return 3\n\n def data(self, index, role=Qt.DisplayRole):\n row, col = index.row(), index.column()\n doc, index = self.word_index[row]\n\n if role == Qt.DisplayRole:\n tokens = self.tokens\n if col == 0:\n return ' '.join(tokens[doc][max(index - self.width, 0):index])\n if col == 1:\n return tokens[doc][index]\n if col == 2:\n return ' '.join(tokens[doc][index + 1:index + self.width + 1])\n\n elif role == Qt.TextAlignmentRole:\n return [Qt.AlignRight | Qt.AlignVCenter,\n Qt.AlignCenter,\n Qt.AlignLeft | Qt.AlignVCenter][col]\n\n elif role == Qt.BackgroundRole:\n const = self.word_index[row][0] in self.colored_rows\n return QColor(236 + 19 * const, 243 + 12 * const, 255)\n\n def _compute_indices(self): # type: () -> Optional[None, list]\n if self.corpus is None:\n self.indices = None\n return\n self.indices = [ConcordanceIndex(doc, key=lambda x: x.lower())\n for doc in self.tokens]\n\n def _compute_word_index(self):\n if self.indices is None or self.word is None:\n self.word_index = self.colored_rows = None\n else:\n self.word_index = [\n (doc_idx, offset) for doc_idx, doc in enumerate(self.indices)\n for offset in doc.offsets(self.word)]\n self.colored_rows = set(sorted({d[0] for d in self.word_index})[::2])\n\n def matching_docs(self):\n if self.indices and self.word:\n return sum(bool(doc.offsets(self.word)) for doc in self.indices)\n else:\n return 0\n\n\nclass OWConcordance(OWWidget):\n name = \"Concordance\"\n description = \"Display the context of the word.\"\n icon = \"icons/Concordance.svg\"\n priority = 520\n\n class Inputs:\n corpus = Input(\"Corpus\", Corpus)\n query_word = Input(\"Query Word\", Topic)\n\n class Outputs:\n selected_documents = Output(\"Selected Documents\", Corpus)\n\n settingsHandler = PerfectDomainContextHandler(\n match_values = PerfectDomainContextHandler.MATCH_VALUES_ALL\n )\n autocommit = Setting(True)\n context_width = Setting(5)\n word = ContextSetting(\"\", exclude_metas=False)\n selected_rows = Setting([], schema_only=True)\n\n class Warning(OWWidget.Warning):\n multiple_words_on_input = Msg(\"Multiple query words on input. \"\n \"Only the first one is considered!\")\n\n def __init__(self):\n super().__init__()\n\n self.corpus = None # Corpus\n self.n_matching = '' # Info on docs matching the word\n self.n_tokens = '' # Info on tokens\n self.n_types = '' # Info on types (unique tokens)\n self.is_word_on_input = False\n\n # Info attributes\n info_box = gui.widgetBox(self.controlArea, 'Info')\n gui.label(info_box, self, 'Tokens: %(n_tokens)s')\n gui.label(info_box, self, 'Types: %(n_types)s')\n gui.label(info_box, self, 'Matching: %(n_matching)s')\n\n # Width parameter\n gui.spin(self.controlArea, self, 'context_width', 3, 10, box=True,\n label=\"Number of words:\", callback=self.set_width)\n\n gui.rubber(self.controlArea)\n\n # Search\n c_box = gui.widgetBox(self.mainArea, orientation=\"vertical\")\n self.input = gui.lineEdit(\n c_box, self, 'word', orientation=Qt.Horizontal,\n sizePolicy=QSizePolicy(QSizePolicy.MinimumExpanding,\n QSizePolicy.Fixed),\n label='Query:', callback=self.set_word, callbackOnType=True)\n self.input.setFocus()\n\n # Concordances view\n self.conc_view = QTableView()\n self.model = ConcordanceModel()\n self.conc_view.setModel(self.model)\n self.conc_view.setWordWrap(False)\n self.conc_view.setSelectionBehavior(QTableView.SelectRows)\n self.conc_view.setSelectionModel(DocumentSelectionModel(self.model))\n self.conc_view.setItemDelegate(HorizontalGridDelegate())\n self.conc_view.selectionModel().selectionChanged.connect(self.selection_changed)\n self.conc_view.horizontalHeader().hide()\n self.conc_view.setShowGrid(False)\n self.mainArea.layout().addWidget(self.conc_view)\n self.set_width()\n\n # Auto-commit box\n gui.auto_commit(self.controlArea, self, 'autocommit', 'Commit',\n 'Auto commit is on')\n\n def sizeHint(self): # pragma: no cover\n return QSize(600, 400)\n\n def set_width(self):\n sel = self.conc_view.selectionModel().selection()\n self.model.set_width(self.context_width)\n if sel:\n self.conc_view.selectionModel().select(sel,\n QItemSelectionModel.SelectCurrent | QItemSelectionModel.Rows)\n\n def selection_changed(self):\n selection = self.conc_view.selectionModel().selection()\n self.selected_rows = sorted(set(cell.row() for cell in selection.indexes()))\n self.commit()\n\n def set_selection(self, selection):\n if selection:\n sel = QItemSelection()\n for row in selection:\n index = self.conc_view.model().index(row, 0)\n sel.select(index, index)\n self.conc_view.selectionModel().select(sel,\n QItemSelectionModel.SelectCurrent | QItemSelectionModel.Rows)\n\n @Inputs.corpus\n def set_corpus(self, data=None):\n self.closeContext()\n self.corpus = data\n if data is None: # data removed, clear selection\n self.selected_rows = []\n\n if not self.is_word_on_input:\n self.word = \"\"\n self.openContext(self.corpus)\n\n self.model.set_corpus(self.corpus)\n self.set_word()\n\n @Inputs.query_word\n def set_word_from_input(self, topic):\n self.Warning.multiple_words_on_input.clear()\n if self.is_word_on_input: # word changed, clear selection\n self.selected_rows = []\n self.is_word_on_input = topic is not None and len(topic) > 0\n self.input.setEnabled(not self.is_word_on_input)\n if self.is_word_on_input:\n if len(topic) > 1:\n self.Warning.multiple_words_on_input()\n self.word = topic.metas[0, 0]\n self.set_word()\n\n def set_word(self):\n self.model.set_word(self.word)\n self.update_widget()\n self.commit()\n\n def handleNewSignals(self):\n self.set_selection(self.selected_rows)\n\n def resize_columns(self):\n col_width = (self.conc_view.width() -\n self.conc_view.columnWidth(1)) / 2 - 12\n self.conc_view.setColumnWidth(0, col_width)\n self.conc_view.setColumnWidth(2, col_width)\n\n def resizeEvent(self, event): # pragma: no cover\n super().resizeEvent(event)\n self.resize_columns()\n\n def update_widget(self):\n self.conc_view.resizeColumnToContents(1)\n self.resize_columns()\n self.conc_view.resizeRowsToContents()\n\n if self.corpus is not None:\n self.n_matching = '{}/{}'.format(\n self.model.matching_docs() if self.word else 0,\n len(self.corpus))\n self.n_tokens = self.model.n_tokens\n self.n_types = self.model.n_types\n else:\n self.n_matching = ''\n self.n_tokens = ''\n self.n_types = ''\n\n def commit(self):\n selected_docs = sorted(set(self.model.word_index[row][0]\n for row in self.selected_rows))\n if selected_docs:\n selected = self.corpus[selected_docs]\n self.Outputs.selected_documents.send(selected)\n else:\n self.Outputs.selected_documents.send(None)\n\n def send_report(self):\n view = self.conc_view\n model = self.conc_view.model()\n self.report_items(\"Concordances\", (\n (\"Query\", model.word),\n (\"Tokens\", model.n_tokens),\n (\"Types\", model.n_types),\n (\"Matching\", self.n_matching),\n ))\n self.report_table(view)\n\n\nif __name__ == '__main__': # pragma: no cover\n app = QApplication([])\n widget = OWConcordance()\n corpus = Corpus.from_file('book-excerpts')\n corpus = corpus[:3]\n widget.set_corpus(corpus)\n widget.show()\n app.exec()\n\n", "path": "orangecontrib/text/widgets/owconcordance.py" } ]
[ { "content": "from typing import Optional\n\nfrom itertools import chain\nfrom AnyQt.QtCore import Qt, QAbstractTableModel, QSize, QItemSelectionModel, \\\n QItemSelection, QModelIndex\nfrom AnyQt.QtWidgets import QSizePolicy, QApplication, QTableView, \\\n QStyledItemDelegate\nfrom AnyQt.QtGui import QColor\n\nfrom Orange.widgets import gui\nfrom Orange.widgets.settings import Setting, ContextSetting, PerfectDomainContextHandler\nfrom Orange.widgets.widget import OWWidget, Msg, Input, Output\nfrom nltk import ConcordanceIndex\nfrom orangecontrib.text.corpus import Corpus\nfrom orangecontrib.text.topics import Topic\nfrom orangecontrib.text.preprocess import WordPunctTokenizer\n\n\nclass HorizontalGridDelegate(QStyledItemDelegate):\n \"\"\"Class for setting elide.\"\"\"\n\n def paint(self, painter, option, index):\n if index.column() == 0:\n option.textElideMode = Qt.ElideLeft\n elif index.column() == 2:\n option.textElideMode = Qt.ElideRight\n QStyledItemDelegate.paint(self, painter, option, index)\n\n\nclass DocumentSelectionModel(QItemSelectionModel):\n \"\"\"Sets selection for QTableView. Creates a set of selected documents.\"\"\"\n\n def select(self, selection, flags):\n # which rows have been selected\n indexes = selection.indexes() if isinstance(selection, QItemSelection) \\\n else [selection]\n # prevent crashing when deleting the connection\n if not indexes:\n super().select(selection, flags)\n return\n # indexes[0].row() == -1 indicates clicking outside of the table\n if len(indexes) == 1 and indexes[0].row() == -1:\n self.clear()\n return\n word_index = self.model().word_index\n selected_docs = {word_index[index.row()][0] for index in indexes}\n selected_rows = [\n row_index for row_index, (doc_index, _) in enumerate(word_index)\n if doc_index in selected_docs]\n selection = QItemSelection()\n # select all rows belonging to the selected document\n for row in selected_rows:\n index = self.model().index(row, 0)\n selection.select(index, index)\n super().select(selection, flags)\n\n\nclass ConcordanceModel(QAbstractTableModel):\n \"\"\"A model for constructing concordances from text.\"\"\"\n\n def __init__(self):\n QAbstractTableModel.__init__(self)\n self.word = None\n self.corpus = None\n self.tokens = None\n self.n_tokens = None\n self.n_types = None\n self.indices = None\n self.word_index = None\n self.width = 8\n self.colored_rows = None\n\n def set_word(self, word):\n self.modelAboutToBeReset.emit()\n self.word = word\n self._compute_word_index()\n self.modelReset.emit()\n\n def set_corpus(self, corpus):\n self.modelAboutToBeReset.emit()\n self.corpus = corpus\n self.set_tokens()\n self._compute_indices()\n self._compute_word_index()\n self.modelReset.emit()\n\n def set_tokens(self):\n if self.corpus is None:\n self.tokens = None\n return\n tokenizer = WordPunctTokenizer()\n self.tokens = tokenizer(self.corpus.documents)\n self.n_tokens = sum(map(len, self.tokens))\n self.n_types = len(set(chain.from_iterable(self.tokens)))\n\n def set_width(self, width):\n self.modelAboutToBeReset.emit()\n self.width = width\n self.modelReset.emit()\n\n def flags(self, _):\n return Qt.ItemIsEnabled | Qt.ItemIsSelectable\n\n def rowCount(self, parent=QModelIndex(), *args, **kwargs):\n return 0 if parent.isValid() or self.word_index is None else len(self.word_index)\n\n def columnCount(self, parent=None, *args, **kwargs):\n return 3\n\n def data(self, index, role=Qt.DisplayRole):\n row, col = index.row(), index.column()\n doc, index = self.word_index[row]\n\n if role == Qt.DisplayRole:\n tokens = self.tokens\n if col == 0:\n return ' '.join(tokens[doc][max(index - self.width, 0):index])\n if col == 1:\n return tokens[doc][index]\n if col == 2:\n return ' '.join(tokens[doc][index + 1:index + self.width + 1])\n\n elif role == Qt.TextAlignmentRole:\n return [Qt.AlignRight | Qt.AlignVCenter,\n Qt.AlignCenter,\n Qt.AlignLeft | Qt.AlignVCenter][col]\n\n elif role == Qt.BackgroundRole:\n const = self.word_index[row][0] in self.colored_rows\n return QColor(236 + 19 * const, 243 + 12 * const, 255)\n\n def _compute_indices(self): # type: () -> Optional[None, list]\n if self.corpus is None:\n self.indices = None\n return\n self.indices = [ConcordanceIndex(doc, key=lambda x: x.lower())\n for doc in self.tokens]\n\n def _compute_word_index(self):\n if self.indices is None or self.word is None:\n self.word_index = self.colored_rows = None\n else:\n self.word_index = [\n (doc_idx, offset) for doc_idx, doc in enumerate(self.indices)\n for offset in doc.offsets(self.word)]\n self.colored_rows = set(sorted({d[0] for d in self.word_index})[::2])\n\n def matching_docs(self):\n if self.indices and self.word:\n return sum(bool(doc.offsets(self.word)) for doc in self.indices)\n else:\n return 0\n\n\nclass OWConcordance(OWWidget):\n name = \"Concordance\"\n description = \"Display the context of the word.\"\n icon = \"icons/Concordance.svg\"\n priority = 520\n\n class Inputs:\n corpus = Input(\"Corpus\", Corpus)\n query_word = Input(\"Query Word\", Topic)\n\n class Outputs:\n selected_documents = Output(\"Selected Documents\", Corpus)\n\n settingsHandler = PerfectDomainContextHandler(\n match_values = PerfectDomainContextHandler.MATCH_VALUES_ALL\n )\n autocommit = Setting(True)\n context_width = Setting(5)\n word = ContextSetting(\"\", exclude_metas=False)\n selected_rows = Setting([], schema_only=True)\n\n class Warning(OWWidget.Warning):\n multiple_words_on_input = Msg(\"Multiple query words on input. \"\n \"Only the first one is considered!\")\n\n def __init__(self):\n super().__init__()\n\n self.corpus = None # Corpus\n self.n_matching = '' # Info on docs matching the word\n self.n_tokens = '' # Info on tokens\n self.n_types = '' # Info on types (unique tokens)\n self.is_word_on_input = False\n\n # Info attributes\n info_box = gui.widgetBox(self.controlArea, 'Info')\n gui.label(info_box, self, 'Tokens: %(n_tokens)s')\n gui.label(info_box, self, 'Types: %(n_types)s')\n gui.label(info_box, self, 'Matching: %(n_matching)s')\n\n # Width parameter\n gui.spin(self.controlArea, self, 'context_width', 3, 10, box=True,\n label=\"Number of words:\", callback=self.set_width)\n\n gui.rubber(self.controlArea)\n\n # Search\n c_box = gui.widgetBox(self.mainArea, orientation=\"vertical\")\n self.input = gui.lineEdit(\n c_box, self, 'word', orientation=Qt.Horizontal,\n sizePolicy=QSizePolicy(QSizePolicy.MinimumExpanding,\n QSizePolicy.Fixed),\n label='Query:', callback=self.set_word, callbackOnType=True)\n self.input.setFocus()\n\n # Concordances view\n self.conc_view = QTableView()\n self.model = ConcordanceModel()\n self.conc_view.setModel(self.model)\n self.conc_view.setWordWrap(False)\n self.conc_view.setSelectionBehavior(QTableView.SelectRows)\n self.conc_view.setSelectionModel(DocumentSelectionModel(self.model))\n self.conc_view.setItemDelegate(HorizontalGridDelegate())\n self.conc_view.selectionModel().selectionChanged.connect(self.selection_changed)\n self.conc_view.horizontalHeader().hide()\n self.conc_view.setShowGrid(False)\n self.mainArea.layout().addWidget(self.conc_view)\n self.set_width()\n\n # Auto-commit box\n gui.auto_commit(self.controlArea, self, 'autocommit', 'Commit',\n 'Auto commit is on')\n\n def sizeHint(self): # pragma: no cover\n return QSize(600, 400)\n\n def set_width(self):\n sel = self.conc_view.selectionModel().selection()\n self.model.set_width(self.context_width)\n if sel:\n self.conc_view.selectionModel().select(sel,\n QItemSelectionModel.SelectCurrent | QItemSelectionModel.Rows)\n\n def selection_changed(self):\n selection = self.conc_view.selectionModel().selection()\n self.selected_rows = sorted(set(cell.row() for cell in selection.indexes()))\n self.commit()\n\n def set_selection(self, selection):\n if selection:\n sel = QItemSelection()\n for row in selection:\n index = self.conc_view.model().index(row, 0)\n sel.select(index, index)\n self.conc_view.selectionModel().select(sel,\n QItemSelectionModel.SelectCurrent | QItemSelectionModel.Rows)\n\n @Inputs.corpus\n def set_corpus(self, data=None):\n self.closeContext()\n self.corpus = data\n if data is None: # data removed, clear selection\n self.selected_rows = []\n\n if not self.is_word_on_input:\n self.word = \"\"\n self.openContext(self.corpus)\n\n self.model.set_corpus(self.corpus)\n self.set_word()\n\n @Inputs.query_word\n def set_word_from_input(self, topic):\n self.Warning.multiple_words_on_input.clear()\n if self.is_word_on_input: # word changed, clear selection\n self.selected_rows = []\n self.is_word_on_input = topic is not None and len(topic) > 0\n self.input.setEnabled(not self.is_word_on_input)\n if self.is_word_on_input:\n if len(topic) > 1:\n self.Warning.multiple_words_on_input()\n self.word = topic.metas[0, 0]\n self.set_word()\n\n def set_word(self):\n self.selected_rows = []\n self.model.set_word(self.word)\n self.update_widget()\n self.commit()\n\n def handleNewSignals(self):\n self.set_selection(self.selected_rows)\n\n def resize_columns(self):\n col_width = (self.conc_view.width() -\n self.conc_view.columnWidth(1)) / 2 - 12\n self.conc_view.setColumnWidth(0, col_width)\n self.conc_view.setColumnWidth(2, col_width)\n\n def resizeEvent(self, event): # pragma: no cover\n super().resizeEvent(event)\n self.resize_columns()\n\n def update_widget(self):\n self.conc_view.resizeColumnToContents(1)\n self.resize_columns()\n self.conc_view.resizeRowsToContents()\n\n if self.corpus is not None:\n self.n_matching = '{}/{}'.format(\n self.model.matching_docs() if self.word else 0,\n len(self.corpus))\n self.n_tokens = self.model.n_tokens\n self.n_types = self.model.n_types\n else:\n self.n_matching = ''\n self.n_tokens = ''\n self.n_types = ''\n\n def commit(self):\n selected_docs = sorted(set(self.model.word_index[row][0]\n for row in self.selected_rows))\n if selected_docs:\n selected = self.corpus[selected_docs]\n self.Outputs.selected_documents.send(selected)\n else:\n self.Outputs.selected_documents.send(None)\n\n def send_report(self):\n view = self.conc_view\n model = self.conc_view.model()\n self.report_items(\"Concordances\", (\n (\"Query\", model.word),\n (\"Tokens\", model.n_tokens),\n (\"Types\", model.n_types),\n (\"Matching\", self.n_matching),\n ))\n self.report_table(view)\n\n\nif __name__ == '__main__': # pragma: no cover\n app = QApplication([])\n widget = OWConcordance()\n corpus = Corpus.from_file('book-excerpts')\n corpus = corpus[:3]\n widget.set_corpus(corpus)\n widget.show()\n app.exec()\n\n", "path": "orangecontrib/text/widgets/owconcordance.py" } ]
diff --git a/orangecontrib/text/widgets/owconcordance.py b/orangecontrib/text/widgets/owconcordance.py index d1a690328..7c933afa6 100644 --- a/orangecontrib/text/widgets/owconcordance.py +++ b/orangecontrib/text/widgets/owconcordance.py @@ -277,6 +277,7 @@ def set_word_from_input(self, topic): self.set_word() def set_word(self): + self.selected_rows = [] self.model.set_word(self.word) self.update_widget() self.commit() diff --git a/orangecontrib/text/widgets/tests/test_concordances.py b/orangecontrib/text/widgets/tests/test_concordances.py index 194fa2d50..d6a37d528 100644 --- a/orangecontrib/text/widgets/tests/test_concordances.py +++ b/orangecontrib/text/widgets/tests/test_concordances.py @@ -1,9 +1,8 @@ import unittest -from unittest.mock import Mock, patch +from unittest.mock import Mock from AnyQt.QtCore import QModelIndex, QItemSelection, Qt from AnyQt.QtGui import QBrush, QColor -from Orange.data import Table from Orange.widgets.tests.base import WidgetTest from orangecontrib.text.corpus import Corpus @@ -200,6 +199,12 @@ def test_selection(self): selection_model.select(ind_10, selection_model.Select) self.assertIsNone(self.get_output("Selected Documents")) + # Selected rows emptied after word change + view.selectRow(3) + self.assertTrue(view.selectedIndexes()) + widget.controls.word.setText("o") + self.assertFalse(view.selectedIndexes()) + def test_signal_to_none(self): self.send_signal("Corpus", self.corpus) widget = self.widget
Concordance: Index Error <!-- This is an issue template. Please fill in the relevant details in the sections below. --> ##### Text version <!-- From menu _Options→Add-ons→Orange3-Text_ or code `orangecontrib.text.version.full_version` --> 0.3.0 ##### Orange version <!-- From menu _Help→About→Version_ or code `Orange.version.full_version` --> 3.15.dev ##### Expected behavior No crash. ##### Actual behavior Concordance crashes when a document is selected and the user removes query. ##### Steps to reproduce the behavior Corpus (bookexcertps) - query for word - select a document from the visualization - remove the word (delete a character). ##### Additional info (worksheets, data, screenshots, ...)
ivy-llc__ivy-26075
[ { "content": "\"\"\"Collection of device Ivy functions.\"\"\"\n\n# global\nimport os\nimport gc\nimport abc\nimport math\nimport psutil\nimport warnings\nimport types\nfrom typing import Type, Optional, Tuple\n\n# noinspection PyUnresolvedReferences\ntry:\n import pynvml\n\n try:\n pynvml.nvmlInit()\n except pynvml.NVMLError:\n pass\nexcept ImportError:\n warnings.warn(\n \"pynvml installation was not found in the environment, functionalities\"\n \" of the Ivy's device module will be limited. Please install pynvml if\"\n \" you wish to use GPUs with Ivy.\"\n )\n # nvidia-ml-py (pynvml) is not installed in CPU Dockerfile.\n\nfrom typing import Union, Callable, Iterable, Any\n\n# local\nimport ivy\nfrom ivy.func_wrapper import (\n handle_out_argument,\n to_native_arrays_and_back,\n handle_nestable,\n handle_array_like_without_promotion,\n handle_backend_invalid,\n)\nfrom ivy.utils.exceptions import handle_exceptions\n\ndefault_device_stack = list()\nsoft_device_mode_stack = list()\ndev_handles = dict()\nsplit_factors = dict()\nmax_chunk_sizes = dict()\n\n\n# Extra #\n# ------#\n\n\nclass DefaultDevice:\n \"\"\"Ivy Device Class.\"\"\"\n\n def __init__(\n self,\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n ) -> None:\n \"\"\"\n Initialize the DefaultDevice class.\n\n Parameters\n ----------\n device\n The device string - as an ivy device or nativedevice class\n\n Examples\n --------\n A \"tpu\" as device:\n\n >>> x = ivy.DefaultDevice(\"tpu\")\n \"\"\"\n self._dev = device\n\n def __enter__(self):\n \"\"\"\n Enter the runtime context related to the specified device.\n\n Returns\n -------\n ret\n Self, an instance of the same class.\n\n Examples\n --------\n A \"cpu\" as device:\n\n >>> with ivy.DefaultDevice(\"cpu\") as device:\n >>> # with block calls device.__enter__()\n >>> print(device._dev)\n \"cpu\"\n \"\"\"\n ivy.set_default_device(self._dev)\n ivy.set_soft_device_mode(True)\n return self\n\n def __exit__(\n self,\n exc_type: Optional[Type[BaseException]],\n exc_val: Optional[Type[BaseException]],\n exc_tb: Optional[types.TracebackType],\n ) -> Union[ivy.Device, str]:\n \"\"\"\n Exit the runtime context related to the specified device.\n\n Parameters\n ----------\n exc_type\n The type of the exception that was raised.\n exc_val\n The exception that was raised.\n exc_tb\n The traceback of the exception that was raised.\n\n Returns\n -------\n ret\n If no exception was raised, returns an instance of the same class.\n\n Examples\n --------\n A \"gpu\" as device:\n\n >>> with ivy.DefaultDevice(\"gpu\") as device:\n >>> pass\n >>> # after with block device.__exit__() is called\n >>> print(device._dev)\n \"cpu\"\n \"\"\"\n ivy.unset_default_device()\n ivy.unset_soft_device_mode()\n if self and (exc_type is not None):\n raise exc_val\n return self\n\n\ndef handle_soft_device_variable(*args, fn, **kwargs):\n return ivy.current_backend().handle_soft_device_variable(*args, fn=fn, **kwargs)\n\n\n# Helpers #\n\n\ndef _get_nvml_gpu_handle(device: Union[ivy.Device, ivy.NativeDevice], /) -> int:\n global dev_handles\n if device in dev_handles:\n return dev_handles[device]\n gpu_idx = int(device.split(\":\")[-1])\n handle = pynvml.nvmlDeviceGetHandleByIndex(gpu_idx)\n dev_handles[device] = handle\n return handle\n\n\ndef _shift_native_arrays_on_default_device(*args, **kwargs):\n with ivy.ArrayMode(False):\n default_device = ivy.default_device(as_native=True)\n args, kwargs = ivy.nested_map(\n lambda x: (\n ivy.to_device(x, default_device)\n if (ivy.is_native_array(x) and ivy.dev(x) != default_device)\n else x\n ),\n [args, kwargs],\n )\n return args, kwargs, default_device\n\n\n# Device Queries #\n\n# Array Printing\n\n\n@handle_exceptions\ndef get_all_ivy_arrays_on_dev(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n) -> ivy.Container:\n \"\"\"\n Get all ivy arrays which are currently alive on the specified device.\n\n Parameters\n ----------\n device\n The device handle from which to get the arrays\n\n Returns\n -------\n ret\n Container with the arrays found for the specified device [identity, array]\n\n Examples\n --------\n >>> x = ivy.array([1,0,2])\n >>> y = ivy.dev(x)\n >>> z = ivy.get_all_ivy_arrays_on_dev(y)\n >>> print(z)\n {139740789224448:ivy.array([1,0,2])},\n \"\"\"\n device = ivy.as_ivy_dev(device)\n all_arrays = list()\n for obj in gc.get_objects():\n if (\n obj is ivy.data_classes.array.array.Array\n and ivy.is_ivy_array(obj)\n and ivy.dev(obj) == device\n ):\n all_arrays.append(obj)\n\n return ivy.Container(dict(zip([str(id(a)) for a in all_arrays], all_arrays)))\n\n\n@handle_exceptions\ndef num_ivy_arrays_on_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> int:\n \"\"\"\n Return the number of arrays which are currently alive on the specified device.\n\n Parameters\n ----------\n device\n The device handle from which to count the arrays\n\n Returns\n -------\n ret\n Number of arrays on the specified device\n\n Examples\n --------\n >>> x1 = ivy.array([-1, 0, 5.2])\n >>> x2 = ivy.array([-1, 0, 5.2, 4, 5])\n >>> y = ivy.num_ivy_arrays_on_dev(ivy.default_device())\n >>> print(y)\n 2\n\n >>> x1 = ivy.native_array([-1, 0, 5.2])\n >>> y = ivy.num_ivy_arrays_on_dev(ivy.default_device())\n >>> print(y)\n 0\n\n >>> x = ivy.Container(x1=ivy.array([-1]),\n ... x2=ivy.native_array([-1]))\n >>> y = ivy.num_ivy_arrays_on_dev(ivy.default_device())\n >>> print(y)\n 1\n \"\"\"\n return len(ivy.get_all_ivy_arrays_on_dev(device))\n\n\n@handle_exceptions\n@handle_nestable\ndef print_all_ivy_arrays_on_dev(\n *,\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n attr_only: bool = True,\n) -> None:\n \"\"\"\n Print the shape and dtype for all ivy arrays which are currently alive on the\n specified device.\n\n Parameters\n ----------\n device\n The device on which to print the arrays\n\n attr_only\n Whether or not to only print the `shape` and `dtype` attributes of the array\n\n Examples\n --------\n >>> x = ivy.array([[1,0,2], [3,2,1]])\n >>> y = ivy.dev(x)\n >>> ivy.print_all_ivy_arrays_on_dev(y)\n ((3,), 'int32')\n ((3,), 'int32')\n\n\n >>> x = ivy.array([[1,0,2], [3,2,1]])\n >>> y = ivy.dev(x)\n >>> ivy.print_all_ivy_arrays_on_dev(y, attr_only = False)\n [1,0,2]\n [3,2,1]\n \"\"\"\n arrs = ivy.get_all_ivy_arrays_on_dev(device).values()\n if attr_only:\n [print((arr.shape, arr.dtype)) for arr in arrs]\n else:\n [print(arr) for arr in arrs]\n\n\nivy.soft_device_mode = soft_device_mode_stack[-1] if soft_device_mode_stack else False\n\n\n@handle_exceptions\ndef set_soft_device_mode(mode: bool) -> None:\n \"\"\"\n Set the mode of whether to move input arrays to `ivy.default_device()` before\n performing an operation.\n\n Parameter\n ---------\n mode\n boolean whether to move input arrays\n Examples\n --------\n >>> ivy.set_soft_device_mode(False)\n >>> ivy.soft_device_mode\n False\n >>> ivy.set_soft_device_mode(True)\n >>> ivy.soft_device_mode\n True\n \"\"\"\n global soft_device_mode_stack\n ivy.utils.assertions.check_isinstance(mode, bool)\n soft_device_mode_stack.append(mode)\n ivy.__setattr__(\"soft_device_mode\", mode, True)\n\n\n@handle_exceptions\ndef unset_soft_device_mode() -> None:\n \"\"\"\n Reset the mode of moving input arrays to `ivy.default_device()` before performing an\n operation.\n\n Examples\n --------\n >>> ivy.set_soft_device_mode(False)\n >>> ivy.soft_device_mode\n False\n >>> ivy.unset_soft_device_mode()\n >>> ivy.soft_device_mode\n True\n \"\"\"\n global soft_device_mode_stack\n if soft_device_mode_stack:\n soft_device_mode_stack.pop(-1)\n mode = soft_device_mode_stack[-1] if soft_device_mode_stack else False\n ivy.__setattr__(\"soft_device_mode\", mode, True)\n\n\n# Retrieval\n\n\n@handle_exceptions\n@handle_backend_invalid\n@handle_nestable\n@to_native_arrays_and_back\ndef dev(\n x: Union[ivy.Array, ivy.NativeArray], /, *, as_native: bool = False\n) -> Union[ivy.Device, ivy.NativeDevice]:\n \"\"\"\n Get the native device handle for input array x.\n\n Parameters\n ----------\n x\n array for which to get the device handle.\n as_native\n Whether or not to return the dev in native format. Default is ``False``.\n\n Returns\n -------\n ret\n Device handle for the array.\n\n Examples\n --------\n With :class:`ivy.Array` input:\n\n >>> x = ivy.array([3, 1, 4, 5])\n >>> y = ivy.dev(x)\n >>> print(y)\n cpu\n\n With :class:`ivy.NativeArray` input:\n\n >>> x = ivy.native_array([[2, 5, 4], [3, 1, 5]])\n >>> y = ivy.dev(x, as_native=True)\n >>> print(y)\n cpu\n \"\"\"\n return ivy.current_backend(x).dev(x, as_native=as_native)\n\n\n# Conversions\n\n\n@handle_exceptions\ndef as_ivy_dev(device: Union[ivy.Device, str], /) -> ivy.Device:\n \"\"\"\n Convert device to string representation.\n\n Parameters\n ----------\n device\n The device handle to convert to string.\n\n Returns\n -------\n ret\n Device string e.g. 'cuda:0'.\n\n Examples\n --------\n >>> y = ivy.as_ivy_dev('cpu')\n >>> print(y)\n cpu\n \"\"\"\n return ivy.current_backend().as_ivy_dev(device)\n\n\n@handle_exceptions\ndef as_native_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> ivy.NativeDevice:\n \"\"\"\n Convert device string representation to native device type.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n A native device handle can be passed in instead - in this case\n the unmodified parameter is returned.\n\n Returns\n -------\n ret\n Native device handle.\n\n Examples\n --------\n With :class:`ivy.Device` input:\n\n >>> ivy.set_backend(\"numpy\")\n >>> ivy.as_native_dev(\"cpu\")\n 'cpu'\n\n >>> ivy.set_backend(\"tensorflow\")\n >>> ivy.as_native_dev(\"tpu:3\")\n '/TPU:3'\n\n With :class:`ivy.NativeDevice` input:\n\n >>> import torch\n >>> device = torch.device(\"cuda\")\n >>> device\n device(type='cuda')\n\n >>> ivy.as_native_dev(device)\n device(type='cuda')\n \"\"\"\n return ivy.current_backend().as_native_dev(device)\n\n\n# Memory\n\n\n@handle_exceptions\ndef clear_cached_mem_on_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> None:\n \"\"\"\n Clear memory cache on target device.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle or native device handle.\n\n Examples\n --------\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.clear_cached_mem_on_dev(device)\n \"\"\"\n ivy.current_backend().clear_cached_mem_on_dev(device)\n\n\n@handle_exceptions\ndef total_mem_on_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> float:\n \"\"\"\n Get the total amount of memory (in GB) for a given device string. In case of CPU,\n the total RAM is returned.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n\n Returns\n -------\n ret\n The total memory on the device in GB.\n\n Examples\n --------\n >>> x = ivy.total_mem_on_dev(\"cpu\")\n >>> print(x)\n 53.66700032\n\n >>> x = ivy.total_mem_on_dev(\"gpu:0\")\n >>> print(x)\n 8.589934592\n \"\"\"\n if \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n info = pynvml.nvmlDeviceGetMemoryInfo(handle)\n return info.total / 1e9\n elif device == \"cpu\":\n return psutil.virtual_memory().total / 1e9\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n@handle_exceptions\ndef used_mem_on_dev(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n *,\n process_specific: bool = False,\n) -> float:\n \"\"\"\n Get the used memory (in GB) for a given device string. In case of CPU, the used RAM\n is returned.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n process_specific\n Whether to check the memory used by this python process alone. Default is\n False.\n\n Returns\n -------\n ret\n The used memory on the device in GB.\n\n Examples\n --------\n >>> x = ivy.used_mem_on_dev(\"cpu\", process_specific = False)\n >>> print(x)\n 6.219563008\n\n >>> x = ivy.used_mem_on_dev(\"cpu\", process_specific = True)\n >>> print(x)\n 0.902400346\n\n >>> y = ivy.used_mem_on_dev(\"gpu:0\", process_specific = False)\n >>> print(y)\n 0.525205504\n \"\"\"\n ivy.clear_cached_mem_on_dev(device)\n if \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n if process_specific:\n pid = os.getpid()\n for process in pynvml.nvmlDeviceGetComputeRunningProcesses(handle):\n if process.pid == pid:\n return process.usedGpuMemory / 1e9\n info = pynvml.nvmlDeviceGetMemoryInfo(handle)\n return info.used / 1e9\n elif device == \"cpu\":\n if process_specific:\n return psutil.Process(os.getpid()).memory_info().rss / 1e9\n vm = psutil.virtual_memory()\n return (vm.total - vm.available) / 1e9\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n@handle_exceptions\ndef percent_used_mem_on_dev(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n *,\n process_specific: bool = False,\n) -> float:\n \"\"\"\n Get the percentage used memory for a given device string. In case of CPU, the used\n RAM is returned.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n process_specific\n Whether the check the memory used by this python process alone. Default is\n False.\n\n Returns\n -------\n ret\n The percentage used memory on the device.\n\n Examples\n --------\n >>> x = ivy.percent_used_mem_on_dev(\"cpu\", process_specific = False)\n >>> print(x)\n 94.036902561555\n\n >>> x = ivy.percent_used_mem_on_dev(\"cpu\", process_specific = True)\n >>> print(x)\n 0.7024003467681645\n\n >>> x = ivy.as_native_dev(\"gpu:0\")\n >>> y = ivy.percent_used_mem_on_dev(x, process_specific = False)\n >>> print(y)\n 0.7095597456708771\n \"\"\"\n ivy.clear_cached_mem_on_dev(device)\n if \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n info = pynvml.nvmlDeviceGetMemoryInfo(handle)\n if process_specific:\n pid = os.getpid()\n for process in pynvml.nvmlDeviceGetComputeRunningProcesses(handle):\n if process.pid == pid:\n return (process.usedGpuMemory / info.total) * 100\n return (info.used / info.total) * 100\n elif device == \"cpu\":\n vm = psutil.virtual_memory()\n if process_specific:\n return (psutil.Process(os.getpid()).memory_info().rss / vm.total) * 100\n return (1 - (vm.available / vm.total)) * 100\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n# Utilization\n\n\n@handle_exceptions\ndef dev_util(device: Union[ivy.Device, ivy.NativeDevice], /) -> float:\n \"\"\"\n Get the current utilization (%) for a given device.\n\n Parameters\n ----------\n device\n The device string of the device to query utilization for.\n\n Returns\n -------\n ret\n The device utilization (%)\n\n Example\n -------\n >>> ivy.dev_util('cpu')\n 13.4\n >>> ivy.dev_util('gpu:0')\n 7.8\n >>> ivy.dev_util('cpu')\n 93.4\n >>> ivy.dev_util('gpu:2')\n 57.4\n >>> ivy.dev_util('cpu')\n 84.2\n \"\"\"\n if device == \"cpu\":\n return psutil.cpu_percent()\n elif \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n return pynvml.nvmlDeviceGetUtilizationRates(handle).gpu\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n# Availability\n\n\n@handle_exceptions\ndef gpu_is_available() -> bool:\n \"\"\"\n Determine whether a GPU is available to use, with the backend framework.\n\n Returns\n -------\n ret\n Boolean, as to whether a gpu is available.\n\n Examples\n --------\n >>> print(ivy.gpu_is_available())\n False\n \"\"\"\n return ivy.current_backend().gpu_is_available()\n\n\n@handle_exceptions\ndef num_cpu_cores(*, logical: bool = True) -> int:\n \"\"\"\n Determine the number of cores available in the cpu.\n\n Parameters\n ----------\n logical\n Whether request is for number of physical or logical cores available in CPU\n\n Returns\n -------\n ret\n Number of cores available in CPU\n\n Examples\n --------\n >>> print(ivy.num_cpu_cores(logical=False))\n 2\n \"\"\"\n if logical:\n return psutil.cpu_count(logical=logical)\n else:\n return psutil.cpu_count(logical=False)\n\n\n@handle_exceptions\ndef num_gpus() -> int:\n \"\"\"\n Determine the number of available GPUs, with the backend framework.\n\n Returns\n -------\n ret\n Number of available GPUs.\n\n Examples\n --------\n >>> print(ivy.num_gpus())\n 1\n \"\"\"\n return ivy.current_backend().num_gpus()\n\n\n@handle_exceptions\ndef tpu_is_available() -> bool:\n \"\"\"\n Determine whether a TPU is available to use, with the backend framework.\n\n Returns\n -------\n ret\n Boolean, as to whether a tpu is available.\n\n Examples\n --------\n >>> ivy.set_backend(\"torch\")\n >>> print(ivy.tpu_is_available())\n True\n \"\"\"\n return ivy.current_backend().tpu_is_available()\n\n\n# Default Device #\n\n\n# noinspection PyShadowingNames\n@handle_exceptions\ndef default_device(\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n /,\n *,\n item: Optional[Union[list, tuple, dict, ivy.Array, ivy.NativeArray]] = None,\n as_native: bool = None,\n) -> Union[ivy.Device, ivy.NativeDevice]:\n \"\"\"\n Return the input device or the default device. If the as_native flag is set, the\n device will be converted to a native device. If the item is provided, the item's\n device is returned. If the device is not provided, the last default device is\n returned. If a default device has not been set, the first gpu is returned if\n available, otherwise the cpu is returned.\n\n Parameters\n ----------\n device\n The device to be returned or converted.\n item\n The item to get the device from.\n as_native\n Whether to convert the device to a native device.\n\n Returns\n -------\n ret\n Device handle or string.\n\n Examples\n --------\n >>> ivy.default_device()\n device(type='cpu')\n\n >>> ivy.default_device(\"gpu:0\")\n 'gpu:0'\n\n >>> ivy.default_device(item=[], as_native=False)\n 'cpu'\n\n >>> ivy.default_device(item=(), as_native=True)\n device(type='cpu')\n\n >>> ivy.default_device(item={\"a\": 1}, as_native=True)\n device(type='cpu')\n\n >>> x = ivy.array([1., 2., 3.])\n >>> x = ivy.to_device(x, 'gpu:0')\n >>> ivy.default_device(item=x, as_native=True)\n device(type='gpu', id=0)\n \"\"\"\n if ivy.exists(device):\n if as_native is True:\n return ivy.as_native_dev(device)\n elif as_native is False:\n return ivy.as_ivy_dev(device)\n return device\n as_native = ivy.default(as_native, False)\n if ivy.exists(item):\n if isinstance(item, (list, tuple, dict)) and len(item) == 0:\n pass\n elif ivy.is_array(item):\n return ivy.dev(item, as_native=as_native)\n global default_device_stack\n if not default_device_stack:\n ret = \"cpu\"\n else:\n ret = default_device_stack[-1]\n if as_native:\n return ivy.as_native_dev(ret)\n return ivy.as_ivy_dev(ret)\n\n\n@handle_exceptions\ndef set_default_device(device: Union[ivy.Device, ivy.NativeDevice], /) -> None:\n \"\"\"\n Set the default device to given device instance.\n\n Parameters\n ----------\n device\n The device to set as the default device\n\n Examples\n --------\n >>> ivy.set_default_device(\"cpu\")\n >>> ivy.default_device()\n 'cpu'\n\n >>> ivy.set_backend(\"torch\")\n >>> ivy.set_default_device(\"gpu:0\")\n >>> ivy.default_device(as_native=True)\n device(type='cuda', index=0)\n\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.set_default_device(device)\n >>> ivy.default_device(as_native=True)\n device(type='cuda')\n \"\"\"\n global default_device_stack\n default_device_stack.append(device)\n\n\n@handle_exceptions\ndef unset_default_device() -> None:\n \"\"\"\n Reset the default device to \"cpu\".\n\n Examples\n --------\n >>> ivy.set_default_device(\"gpu:0\")\n >>> ivy.default_device()\n \"gpu:0\"\n >>> ivy.unset_default_device()\n >>> ivy.default_device()\n \"cpu\"\n \"\"\"\n global default_device_stack\n if default_device_stack:\n default_device_stack.pop(-1)\n\n\n# Device Allocation #\n\n\n@handle_exceptions\n@handle_backend_invalid\n@handle_nestable\n@handle_array_like_without_promotion\n@handle_out_argument\n@to_native_arrays_and_back\ndef to_device(\n x: Union[ivy.Array, ivy.NativeArray],\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n *,\n stream: Optional[Union[int, Any]] = None,\n out: Optional[ivy.Array] = None,\n) -> ivy.Array:\n \"\"\"\n Move the input array x to the desired device, specified by device string.\n\n Parameters\n ----------\n x\n input array to be moved to the desired device\n device\n device to move the input array `x` to\n stream\n stream object to use during copy. In addition to the types supported in\n array.__dlpack__(), implementations may choose to support any library-specific\n stream object with the caveat that any code using such an object would not be\n portable.\n out\n optional output array, for writing the result to. It must have a shape that the\n inputs broadcast to.\n\n Returns\n -------\n ret\n input array x placed on the desired device\n\n Examples\n --------\n >>> x = ivy.array([1., 2., 3.])\n >>> x = ivy.to_device(x, 'cpu')\n >>> print(x.device)\n cpu\n \"\"\"\n return ivy.current_backend(x).to_device(x, device, stream=stream, out=out)\n\n\n# Function Splitting #\n\n\n@handle_exceptions\ndef split_factor(\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n /,\n) -> float:\n \"\"\"\n Get a device's global split factor, which can be used to scale the device's batch\n splitting chunk sizes across the codebase.\n\n If the global split factor is set for a given device,\n returns the split factor value for the device from the split factors dictionary\n If the global split factor for a device is not configured,\n returns the default value which is 0.0\n\n Parameters\n ----------\n device\n The device to query the split factor for. Sets the default device by default.\n\n Returns\n -------\n ret\n The split factor for the specified device.\n\n Examples\n --------\n >>> x = ivy.split_factor()\n >>> print(x)\n 0.0\n\n >>> y = ivy.split_factor(\"gpu:0\")\n >>> print(y)\n 0.0\n \"\"\"\n global split_factors\n device = ivy.default(device, default_device())\n return split_factors.setdefault(device, 0.0)\n\n\n@handle_exceptions\ndef set_split_factor(\n factor: float, /, *, device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None\n) -> None:\n \"\"\"\n Set the global split factor for a given device, which can be used to scale batch\n splitting chunk sizes for the device across the codebase.\n\n Parameters\n ----------\n factor\n The factor to set the device-specific split factor to.\n device\n The device to set the split factor for. Sets the default device by default.\n\n Examples\n --------\n >>> print(ivy.default_device())\n cpu\n\n >>> ivy.set_split_factor(0.5)\n >>> print(ivy.split_factors)\n {'cpu': 0.5}\n\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.set_split_factor(0.3, device=device)\n >>> print(ivy.split_factors)\n {device(type='cuda'): 0.3}\n\n >>> ivy.set_split_factor(0.4, device=\"tpu\")\n >>> print(ivy.split_factors)\n {'tpu': 0.4}\n\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.set_split_factor(0.2)\n >>> ivy.set_split_factor(0.3, device='gpu')\n >>> print(ivy.split_factors)\n {'cpu': 0.2, 'gpu': 0.3}\n \"\"\"\n ivy.utils.assertions.check_less(0, factor, allow_equal=True, as_array=False)\n global split_factors\n device = ivy.default(device, default_device())\n split_factors[device] = factor\n\n\n@handle_exceptions\ndef split_func_call(\n func: Callable,\n inputs: Union[ivy.Array, ivy.NativeArray],\n mode: str,\n /,\n *,\n max_chunk_size: Optional[int] = None,\n chunk_size: Optional[int] = None,\n input_axes: Union[int, Iterable[int]] = 0,\n output_axes: Optional[Union[int, Iterable[int]]] = None,\n stop_gradients: bool = False,\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n) -> Union[ivy.Array, ivy.NativeArray]:\n \"\"\"\n Call a function by splitting its inputs along a given axis, and calling the function\n in chunks, rather than feeding the entire input array at once. This can be useful to\n reduce memory usage of the device the arrays are on.\n\n Parameters\n ----------\n func\n The function to be called.\n inputs\n A list of inputs to pass into the function.\n mode\n The mode by which to unify the return values, must be one of\n [ concat | mean | sum ]\n max_chunk_size\n The maximum size of each of the chunks to be fed into the function.\n chunk_size\n The size of each of the chunks to be fed into the function. Specifying this arg\n overwrites the global split factor. Default is ``None``.\n input_axes\n The axes along which to split each of the inputs, before passing to the\n function. Default is ``0``.\n output_axes\n The axes along which to concat each of the returned outputs. Default is same as\n fist input axis.\n stop_gradients\n Whether to stop the gradients for each computed return. Default is ``False``.\n device\n The device to set the split factor for. Sets the default device by default.\n\n Returns\n -------\n ret\n The return from the function, following input splitting and re-concattenation.\n \"\"\"\n if isinstance(input_axes, int):\n input_axes = [input_axes] * len(inputs)\n if not ivy.exists(max_chunk_size) and not ivy.exists(chunk_size):\n shape_key = \"_\".join([str(inp.shape) for inp in inputs])\n if shape_key in max_chunk_sizes:\n max_chunk_size = max_chunk_sizes[shape_key]\n else:\n max_chunk_size = 0\n max_dim = max(\n [inp.cont_shape[inp_ax] for inp, inp_ax in zip(inputs, input_axes)]\n )\n if max_dim > max_chunk_size:\n max_chunk_sizes[shape_key] = max_dim\n max_chunk_size = max_dim\n chunk_size = ivy.default(\n chunk_size,\n default_val=lambda: 1\n + int(\n round((max_chunk_size - 1) * ivy.split_factor(ivy.default_device(device)))\n ),\n with_callable=True,\n )\n dim_size = inputs[0].shape[input_axes[0]]\n if chunk_size >= dim_size:\n return func(*inputs)\n num_chunks = dim_size / chunk_size\n num_chunks_floored = math.floor(num_chunks)\n num_chunks_ceiled = math.ceil(num_chunks)\n chunk_sizes = [chunk_size] * num_chunks_floored\n if num_chunks != num_chunks_floored:\n chunk_sizes.append(dim_size - chunk_size * num_chunks_floored)\n inputs_split = [\n (\n ivy.split(\n inp,\n num_or_size_splits=chunk_sizes,\n axis=input_axes[i],\n with_remainder=True,\n )\n if ivy.is_array(inp)\n else inp.split(\n num_or_size_splits=chunk_sizes, axis=input_axes[i], with_remainder=True\n )\n )\n for i, inp in enumerate(inputs)\n ]\n is_mean = mode == \"mean\"\n is_sum = mode == \"sum\"\n post_fn = ivy.stop_gradient if stop_gradients else lambda x: x\n if is_mean or is_sum:\n sums = None\n for inps in zip(*inputs_split):\n if not sums:\n sums = func(*inps)\n sums = (\n [post_fn(s) for s in sums]\n if isinstance(sums, tuple)\n else [post_fn(sums)]\n )\n else:\n ret = func(*inps)\n if isinstance(ret, tuple):\n for i, r in enumerate(ret):\n sums[i] = sums[i] + post_fn(r)\n else:\n sums[0] = sums[0] + post_fn(ret)\n sums_or_means = [s / num_chunks_ceiled for s in sums] if is_mean else sums\n return sums_or_means[0] if len(sums_or_means) == 1 else tuple(sums_or_means)\n rets = [func(*i) for i in zip(*inputs_split)]\n rets = [\n tuple([post_fn(r) for r in ret]) if isinstance(ret, tuple) else (post_fn(ret),)\n for ret in rets\n ]\n num_outputs = len(rets[0])\n if output_axes is None:\n output_axes = [input_axes[0]] * num_outputs\n elif isinstance(output_axes, int):\n output_axes = [output_axes] * num_outputs\n ret = [\n ivy.concat([r[i] for r in rets], axis=output_axes[i])\n for i in range(num_outputs)\n ]\n return ret[0] if len(ret) == 1 else ret\n\n\ndef _is_valid_devices_attributes(fn: Callable) -> bool:\n if hasattr(fn, \"supported_devices\") and hasattr(fn, \"unsupported_devices\"):\n fn_supported_devices = fn.supported_devices\n fn_unsupported_devices = fn.unsupported_devices\n if isinstance(fn_supported_devices, dict):\n if isinstance(fn_unsupported_devices, dict):\n backend_str = ivy.current_backend_str()\n if (\n backend_str in fn_supported_devices\n and backend_str in fn_unsupported_devices\n ):\n return False\n else:\n if isinstance(fn_unsupported_devices, tuple):\n return False\n return True\n\n\ndef _get_devices(fn: Callable, complement: bool = True) -> Tuple:\n valid_devices = ivy.valid_devices\n invalid_devices = ivy.invalid_devices\n all_devices = ivy.all_devices\n\n supported = set(ivy.valid_devices)\n\n is_backend_fn = \"backend\" in fn.__module__\n is_frontend_fn = \"frontend\" in fn.__module__\n is_einops_fn = \"einops\" in fn.__name__\n if not is_backend_fn and not is_frontend_fn and not is_einops_fn:\n if complement:\n supported = set(all_devices).difference(supported)\n return supported\n\n # Their values are formated like either\n # 1. fn.supported_devices = (\"cpu\",)\n # Could also have the \"all\" value for the framework\n basic = [\n (\"supported_devices\", set.intersection, valid_devices),\n (\"unsupported_devices\", set.difference, invalid_devices),\n ]\n for key, merge_fn, base in basic:\n if hasattr(fn, key):\n v = getattr(fn, key)\n if \"einops\" in fn.__name__ and isinstance(v, dict):\n v = v.get(ivy.current_backend_str(), base)\n ivy.utils.assertions.check_isinstance(v, tuple)\n supported = merge_fn(supported, set(v))\n\n if complement:\n supported = set(all_devices).difference(supported)\n\n return tuple(supported)\n\n\n@handle_exceptions\n@handle_nestable\ndef function_supported_devices(\n fn: Callable, recurse: bool = True\n) -> Union[Tuple, dict]:\n \"\"\"\n Return the supported devices of the current backend's function. The function returns\n a dict containing the supported devices for the compositional and primary\n implementations in case of partial mixed functions.\n\n Parameters\n ----------\n fn\n The function to check for the supported device attribute\n recurse\n Whether to recurse into used ivy functions. Default is ``True``.\n\n Returns\n -------\n ret\n Tuple or dict containing the supported devices of the function\n\n Examples\n --------\n >>> import ivy\n >>> print(ivy.function_supported_devices(ivy.ones))\n ('cpu', 'gpu')\n \"\"\"\n ivy.utils.assertions.check_true(\n _is_valid_devices_attributes(fn),\n \"supported_devices and unsupported_devices attributes cannot both \"\n \"exist in a particular backend\",\n )\n if hasattr(fn, \"partial_mixed_handler\"):\n return {\n \"compositional\": function_supported_devices(fn.compos, recurse=recurse),\n \"primary\": _get_devices(fn, complement=False),\n }\n else:\n supported_devices = set(_get_devices(fn, complement=False))\n if recurse:\n supported_devices = ivy.functional.data_type._nested_get(\n fn, supported_devices, set.intersection, function_supported_devices\n )\n\n return (\n supported_devices\n if isinstance(supported_devices, dict)\n else tuple(supported_devices)\n )\n\n\n@handle_exceptions\n@handle_nestable\ndef function_unsupported_devices(\n fn: Callable, recurse: bool = True\n) -> Union[Tuple, dict]:\n \"\"\"\n Return the unsupported devices of the current backend's function. The function\n returns a dict containing the unsupported devices for the compositional and primary\n implementations in case of partial mixed functions.\n\n Parameters\n ----------\n fn\n The function to check for the unsupported device attribute\n recurse\n Whether to recurse into used ivy functions. Default is ``True``.\n\n Returns\n -------\n ret\n Tuple or dict containing the unsupported devices of the function\n\n Examples\n --------\n >>> print(ivy.function_unsupported_devices(ivy.ones))\n ('tpu',)\n \"\"\"\n ivy.utils.assertions.check_true(\n _is_valid_devices_attributes(fn),\n \"supported_devices and unsupported_devices attributes cannot both \"\n \"exist in a particular backend\",\n )\n if hasattr(fn, \"partial_mixed_handler\"):\n return {\n \"compositional\": function_unsupported_devices(fn.compos, recurse=recurse),\n \"primary\": _get_devices(fn, complement=True),\n }\n else:\n unsupported_devices = set(_get_devices(fn, complement=True))\n if recurse:\n unsupported_devices = ivy.functional.data_type._nested_get(\n fn, unsupported_devices, set.union, function_unsupported_devices\n )\n return (\n unsupported_devices\n if isinstance(unsupported_devices, dict)\n else tuple(unsupported_devices)\n )\n\n\n# Profiler #\n\n\nclass Profiler(abc.ABC):\n \"\"\"\n The profiler class is used to profile the execution of some code.\n\n Parameters\n ----------\n save_dir\n The directory to save the profile data to.\n \"\"\"\n\n def __init__(self, save_dir: str):\n self._save_dir = save_dir\n\n @abc.abstractmethod\n def start(self):\n \"\"\"\n Start the profiler.\n\n This should be called before the code to be profiled.\n \"\"\"\n raise ivy.utils.exceptions.IvyNotImplementedException\n\n @abc.abstractmethod\n def stop(self):\n \"\"\"\n Stop the profiler.\n\n This should be called after the code to be profiled.\n \"\"\"\n raise ivy.utils.exceptions.IvyNotImplementedException\n\n @abc.abstractmethod\n def __enter__(self):\n raise ivy.utils.exceptions.IvyNotImplementedException\n\n @abc.abstractmethod\n def __exit__(self, exc_type, exc_val, exc_tb):\n raise ivy.utils.exceptions.IvyNotImplementedException\n", "path": "ivy/functional/ivy/device.py" } ]
[ { "content": "\"\"\"Collection of device Ivy functions.\"\"\"\n\n# global\nimport os\nimport gc\nimport abc\nimport math\nimport psutil\nimport warnings\nimport types\nfrom typing import Type, Optional, Tuple\n\n# noinspection PyUnresolvedReferences\ntry:\n import pynvml\n\n try:\n pynvml.nvmlInit()\n except pynvml.NVMLError:\n pass\nexcept ImportError:\n warnings.warn(\n \"pynvml installation was not found in the environment, functionalities\"\n \" of the Ivy's device module will be limited. Please install pynvml if\"\n \" you wish to use GPUs with Ivy.\"\n )\n # nvidia-ml-py (pynvml) is not installed in CPU Dockerfile.\n\nfrom typing import Union, Callable, Iterable, Any\n\n# local\nimport ivy\nfrom ivy.func_wrapper import (\n handle_out_argument,\n to_native_arrays_and_back,\n handle_nestable,\n handle_array_like_without_promotion,\n handle_backend_invalid,\n)\nfrom ivy.utils.exceptions import handle_exceptions\n\ndefault_device_stack = list()\nsoft_device_mode_stack = list()\ndev_handles = dict()\nsplit_factors = dict()\nmax_chunk_sizes = dict()\n\n\n# Extra #\n# ------#\n\n\nclass DefaultDevice:\n \"\"\"Ivy Device Class.\"\"\"\n\n def __init__(\n self,\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n ) -> None:\n \"\"\"\n Initialize the DefaultDevice class.\n\n Parameters\n ----------\n device\n The device string - as an ivy device or nativedevice class\n\n Examples\n --------\n A \"tpu\" as device:\n\n >>> x = ivy.DefaultDevice(\"tpu\")\n \"\"\"\n self._dev = device\n\n def __enter__(self):\n \"\"\"\n Enter the runtime context related to the specified device.\n\n Returns\n -------\n ret\n Self, an instance of the same class.\n\n Examples\n --------\n A \"cpu\" as device:\n\n >>> with ivy.DefaultDevice(\"cpu\") as device:\n >>> # with block calls device.__enter__()\n >>> print(device._dev)\n \"cpu\"\n \"\"\"\n ivy.set_default_device(self._dev)\n ivy.set_soft_device_mode(True)\n return self\n\n def __exit__(\n self,\n exc_type: Optional[Type[BaseException]],\n exc_val: Optional[Type[BaseException]],\n exc_tb: Optional[types.TracebackType],\n ) -> Union[ivy.Device, str]:\n \"\"\"\n Exit the runtime context related to the specified device.\n\n Parameters\n ----------\n exc_type\n The type of the exception that was raised.\n exc_val\n The exception that was raised.\n exc_tb\n The traceback of the exception that was raised.\n\n Returns\n -------\n ret\n If no exception was raised, returns an instance of the same class.\n\n Examples\n --------\n A \"gpu\" as device:\n\n >>> with ivy.DefaultDevice(\"gpu\") as device:\n >>> pass\n >>> # after with block device.__exit__() is called\n >>> print(device._dev)\n \"cpu\"\n \"\"\"\n ivy.unset_default_device()\n ivy.unset_soft_device_mode()\n if self and (exc_type is not None):\n raise exc_val\n return self\n\n\ndef handle_soft_device_variable(*args, fn, **kwargs):\n return ivy.current_backend().handle_soft_device_variable(*args, fn=fn, **kwargs)\n\n\n# Helpers #\n\n\ndef _get_nvml_gpu_handle(device: Union[ivy.Device, ivy.NativeDevice], /) -> int:\n global dev_handles\n if device in dev_handles:\n return dev_handles[device]\n gpu_idx = int(device.split(\":\")[-1])\n handle = pynvml.nvmlDeviceGetHandleByIndex(gpu_idx)\n dev_handles[device] = handle\n return handle\n\n\ndef _shift_native_arrays_on_default_device(*args, **kwargs):\n with ivy.ArrayMode(False):\n default_device = ivy.default_device(as_native=True)\n args, kwargs = ivy.nested_map(\n lambda x: (\n ivy.to_device(x, default_device)\n if (ivy.is_native_array(x) and ivy.dev(x) != default_device)\n else x\n ),\n [args, kwargs],\n )\n return args, kwargs, default_device\n\n\n# Device Queries #\n\n# Array Printing\n\n\n@handle_exceptions\ndef get_all_ivy_arrays_on_dev(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n) -> ivy.Container:\n \"\"\"\n Get all ivy arrays which are currently alive on the specified device.\n\n Parameters\n ----------\n device\n The device handle from which to get the arrays\n\n Returns\n -------\n ret\n Container with the arrays found for the specified device [identity, array]\n\n Examples\n --------\n >>> x = ivy.array([1,0,2])\n >>> y = ivy.dev(x)\n >>> z = ivy.get_all_ivy_arrays_on_dev(y)\n >>> print(z)\n {139740789224448:ivy.array([1,0,2])},\n \"\"\"\n device = ivy.as_ivy_dev(device)\n all_arrays = list()\n for obj in gc.get_objects():\n if (\n obj is ivy.data_classes.array.array.Array\n and ivy.is_ivy_array(obj)\n and ivy.dev(obj) == device\n ):\n all_arrays.append(obj)\n\n return ivy.Container(dict(zip([str(id(a)) for a in all_arrays], all_arrays)))\n\n\n@handle_exceptions\ndef num_ivy_arrays_on_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> int:\n \"\"\"\n Return the number of arrays which are currently alive on the specified device.\n\n Parameters\n ----------\n device\n The device handle from which to count the arrays\n\n Returns\n -------\n ret\n Number of arrays on the specified device\n\n Examples\n --------\n >>> x1 = ivy.array([-1, 0, 5.2])\n >>> x2 = ivy.array([-1, 0, 5.2, 4, 5])\n >>> y = ivy.num_ivy_arrays_on_dev(ivy.default_device())\n >>> print(y)\n 2\n\n >>> x1 = ivy.native_array([-1, 0, 5.2])\n >>> y = ivy.num_ivy_arrays_on_dev(ivy.default_device())\n >>> print(y)\n 0\n\n >>> x = ivy.Container(x1=ivy.array([-1]),\n ... x2=ivy.native_array([-1]))\n >>> y = ivy.num_ivy_arrays_on_dev(ivy.default_device())\n >>> print(y)\n 1\n \"\"\"\n return len(ivy.get_all_ivy_arrays_on_dev(device))\n\n\n@handle_exceptions\n@handle_nestable\ndef print_all_ivy_arrays_on_dev(\n *,\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n attr_only: bool = True,\n) -> None:\n \"\"\"\n Print the shape and dtype for all ivy arrays which are currently alive on the\n specified device.\n\n Parameters\n ----------\n device\n The device on which to print the arrays\n\n attr_only\n Whether or not to only print the `shape` and `dtype` attributes of the array\n\n Examples\n --------\n >>> x = ivy.array([[1,0,2], [3,2,1]])\n >>> y = ivy.dev(x)\n >>> ivy.print_all_ivy_arrays_on_dev(y)\n ((3,), 'int32')\n ((3,), 'int32')\n\n\n >>> x = ivy.array([[1,0,2], [3,2,1]])\n >>> y = ivy.dev(x)\n >>> ivy.print_all_ivy_arrays_on_dev(y, attr_only = False)\n [1,0,2]\n [3,2,1]\n \"\"\"\n arrs = ivy.get_all_ivy_arrays_on_dev(device).values()\n if attr_only:\n [print((arr.shape, arr.dtype)) for arr in arrs]\n else:\n [print(arr) for arr in arrs]\n\n\nivy.soft_device_mode = soft_device_mode_stack[-1] if soft_device_mode_stack else False\n\n\n@handle_exceptions\ndef set_soft_device_mode(mode: bool) -> None:\n \"\"\"\n Set the mode of whether to move input arrays to `ivy.default_device()` before\n performing an operation.\n\n Parameter\n ---------\n mode\n boolean whether to move input arrays\n Examples\n --------\n >>> ivy.set_soft_device_mode(False)\n >>> ivy.soft_device_mode\n False\n >>> ivy.set_soft_device_mode(True)\n >>> ivy.soft_device_mode\n True\n \"\"\"\n global soft_device_mode_stack\n ivy.utils.assertions.check_isinstance(mode, bool)\n soft_device_mode_stack.append(mode)\n ivy.__setattr__(\"soft_device_mode\", mode, True)\n\n\n@handle_exceptions\ndef unset_soft_device_mode() -> None:\n \"\"\"\n Reset the mode of moving input arrays to `ivy.default_device()` before performing an\n operation.\n\n Examples\n --------\n >>> ivy.set_soft_device_mode(False)\n >>> ivy.soft_device_mode\n False\n >>> ivy.unset_soft_device_mode()\n >>> ivy.soft_device_mode\n True\n \"\"\"\n global soft_device_mode_stack\n if soft_device_mode_stack:\n soft_device_mode_stack.pop(-1)\n mode = soft_device_mode_stack[-1] if soft_device_mode_stack else False\n ivy.__setattr__(\"soft_device_mode\", mode, True)\n\n\n# Retrieval\n\n\n@handle_exceptions\n@handle_backend_invalid\n@handle_nestable\n@to_native_arrays_and_back\ndef dev(\n x: Union[ivy.Array, ivy.NativeArray], /, *, as_native: bool = False\n) -> Union[ivy.Device, ivy.NativeDevice]:\n \"\"\"\n Get the native device handle for input array x.\n\n Parameters\n ----------\n x\n array for which to get the device handle.\n as_native\n Whether or not to return the dev in native format. Default is ``False``.\n\n Returns\n -------\n ret\n Device handle for the array.\n\n Examples\n --------\n With :class:`ivy.Array` input:\n\n >>> x = ivy.array([3, 1, 4, 5])\n >>> y = ivy.dev(x)\n >>> print(y)\n cpu\n\n With :class:`ivy.NativeArray` input:\n\n >>> x = ivy.native_array([[2, 5, 4], [3, 1, 5]])\n >>> y = ivy.dev(x, as_native=True)\n >>> print(y)\n cpu\n \"\"\"\n return ivy.current_backend(x).dev(x, as_native=as_native)\n\n\n# Conversions\n\n\n@handle_exceptions\ndef as_ivy_dev(device: Union[ivy.Device, str], /) -> ivy.Device:\n \"\"\"\n Convert device to string representation.\n\n Parameters\n ----------\n device\n The device handle to convert to string.\n\n Returns\n -------\n ret\n Device string e.g. 'cuda:0'.\n\n Examples\n --------\n >>> y = ivy.as_ivy_dev('cpu')\n >>> print(y)\n cpu\n \"\"\"\n return ivy.current_backend().as_ivy_dev(device)\n\n\n@handle_exceptions\ndef as_native_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> ivy.NativeDevice:\n \"\"\"\n Convert device string representation to native device type.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n A native device handle can be passed in instead - in this case\n the unmodified parameter is returned.\n\n Returns\n -------\n ret\n Native device handle.\n\n Examples\n --------\n With :class:`ivy.Device` input:\n\n >>> ivy.set_backend(\"numpy\")\n >>> ivy.as_native_dev(\"cpu\")\n 'cpu'\n\n >>> ivy.set_backend(\"tensorflow\")\n >>> ivy.as_native_dev(\"tpu:3\")\n '/TPU:3'\n\n With :class:`ivy.NativeDevice` input:\n\n >>> import torch\n >>> device = torch.device(\"cuda\")\n >>> device\n device(type='cuda')\n\n >>> ivy.as_native_dev(device)\n device(type='cuda')\n \"\"\"\n return ivy.current_backend().as_native_dev(device)\n\n\n# Memory\n\n\n@handle_exceptions\ndef clear_cached_mem_on_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> None:\n \"\"\"\n Clear memory cache on target device.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle or native device handle.\n\n Examples\n --------\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.clear_cached_mem_on_dev(device)\n \"\"\"\n ivy.current_backend().clear_cached_mem_on_dev(device)\n\n\n@handle_exceptions\ndef total_mem_on_dev(device: Union[ivy.Device, ivy.NativeDevice], /) -> float:\n \"\"\"\n Get the total amount of memory (in GB) for a given device string. In case of CPU,\n the total RAM is returned.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n\n Returns\n -------\n ret\n The total memory on the device in GB.\n\n Examples\n --------\n >>> x = ivy.total_mem_on_dev(\"cpu\")\n >>> print(x)\n 53.66700032\n\n >>> x = ivy.total_mem_on_dev(\"gpu:0\")\n >>> print(x)\n 8.589934592\n \"\"\"\n if \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n info = pynvml.nvmlDeviceGetMemoryInfo(handle)\n return info.total / 1e9\n elif device == \"cpu\":\n return psutil.virtual_memory().total / 1e9\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n@handle_exceptions\ndef used_mem_on_dev(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n *,\n process_specific: bool = False,\n) -> float:\n \"\"\"\n Get the used memory (in GB) for a given device string. In case of CPU, the used RAM\n is returned.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n process_specific\n Whether to check the memory used by this python process alone. Default is\n False.\n\n Returns\n -------\n ret\n The used memory on the device in GB.\n\n Examples\n --------\n >>> x = ivy.used_mem_on_dev(\"cpu\", process_specific = False)\n >>> print(x)\n 6.219563008\n\n >>> x = ivy.used_mem_on_dev(\"cpu\", process_specific = True)\n >>> print(x)\n 0.902400346\n\n >>> y = ivy.used_mem_on_dev(\"gpu:0\", process_specific = False)\n >>> print(y)\n 0.525205504\n \"\"\"\n ivy.clear_cached_mem_on_dev(device)\n if \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n if process_specific:\n pid = os.getpid()\n for process in pynvml.nvmlDeviceGetComputeRunningProcesses(handle):\n if process.pid == pid:\n return process.usedGpuMemory / 1e9\n info = pynvml.nvmlDeviceGetMemoryInfo(handle)\n return info.used / 1e9\n elif device == \"cpu\":\n if process_specific:\n return psutil.Process(os.getpid()).memory_info().rss / 1e9\n vm = psutil.virtual_memory()\n return (vm.total - vm.available) / 1e9\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n@handle_exceptions\ndef percent_used_mem_on_dev(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n *,\n process_specific: bool = False,\n) -> float:\n \"\"\"\n Get the percentage used memory for a given device string. In case of CPU, the used\n RAM is returned.\n\n Parameters\n ----------\n device\n The device string to convert to native device handle.\n process_specific\n Whether the check the memory used by this python process alone. Default is\n False.\n\n Returns\n -------\n ret\n The percentage used memory on the device.\n\n Examples\n --------\n >>> x = ivy.percent_used_mem_on_dev(\"cpu\", process_specific = False)\n >>> print(x)\n 94.036902561555\n\n >>> x = ivy.percent_used_mem_on_dev(\"cpu\", process_specific = True)\n >>> print(x)\n 0.7024003467681645\n\n >>> x = ivy.as_native_dev(\"gpu:0\")\n >>> y = ivy.percent_used_mem_on_dev(x, process_specific = False)\n >>> print(y)\n 0.7095597456708771\n \"\"\"\n ivy.clear_cached_mem_on_dev(device)\n if \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n info = pynvml.nvmlDeviceGetMemoryInfo(handle)\n if process_specific:\n pid = os.getpid()\n for process in pynvml.nvmlDeviceGetComputeRunningProcesses(handle):\n if process.pid == pid:\n return (process.usedGpuMemory / info.total) * 100\n return (info.used / info.total) * 100\n elif device == \"cpu\":\n vm = psutil.virtual_memory()\n if process_specific:\n return (psutil.Process(os.getpid()).memory_info().rss / vm.total) * 100\n return (1 - (vm.available / vm.total)) * 100\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n# Utilization\n\n\n@handle_exceptions\ndef dev_util(\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n) -> float:\n \"\"\"\n Get the current utilization (%) for a given device.\n\n Parameters\n ----------\n device\n The device string of the device to query utilization for.\n\n Returns\n -------\n ret\n The device utilization (%)\n\n Example\n -------\n >>> ivy.dev_util('cpu')\n 13.4\n >>> ivy.dev_util('gpu:0')\n 7.8\n >>> ivy.dev_util('cpu')\n 93.4\n >>> ivy.dev_util('gpu:2')\n 57.4\n >>> ivy.dev_util('cpu')\n 84.2\n \"\"\"\n if device == \"cpu\":\n return psutil.cpu_percent()\n elif \"gpu\" in device:\n handle = _get_nvml_gpu_handle(device)\n return pynvml.nvmlDeviceGetUtilizationRates(handle).gpu\n else:\n raise ivy.utils.exceptions.IvyException(\n 'Invalid device string input, must be on the form \"gpu:idx\" or \"cpu\", '\n \"but found {}\".format(device)\n )\n\n\n# Availability\n\n\n@handle_exceptions\ndef gpu_is_available() -> bool:\n \"\"\"\n Determine whether a GPU is available to use, with the backend framework.\n\n Returns\n -------\n ret\n Boolean, as to whether a gpu is available.\n\n Examples\n --------\n >>> print(ivy.gpu_is_available())\n False\n \"\"\"\n return ivy.current_backend().gpu_is_available()\n\n\n@handle_exceptions\ndef num_cpu_cores(*, logical: bool = True) -> int:\n \"\"\"\n Determine the number of cores available in the cpu.\n\n Parameters\n ----------\n logical\n Whether request is for number of physical or logical cores available in CPU\n\n Returns\n -------\n ret\n Number of cores available in CPU\n\n Examples\n --------\n >>> print(ivy.num_cpu_cores(logical=False))\n 2\n \"\"\"\n if logical:\n return psutil.cpu_count(logical=logical)\n else:\n return psutil.cpu_count(logical=False)\n\n\n@handle_exceptions\ndef num_gpus() -> int:\n \"\"\"\n Determine the number of available GPUs, with the backend framework.\n\n Returns\n -------\n ret\n Number of available GPUs.\n\n Examples\n --------\n >>> print(ivy.num_gpus())\n 1\n \"\"\"\n return ivy.current_backend().num_gpus()\n\n\n@handle_exceptions\ndef tpu_is_available() -> bool:\n \"\"\"\n Determine whether a TPU is available to use, with the backend framework.\n\n Returns\n -------\n ret\n Boolean, as to whether a tpu is available.\n\n Examples\n --------\n >>> ivy.set_backend(\"torch\")\n >>> print(ivy.tpu_is_available())\n True\n \"\"\"\n return ivy.current_backend().tpu_is_available()\n\n\n# Default Device #\n\n\n# noinspection PyShadowingNames\n@handle_exceptions\ndef default_device(\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n /,\n *,\n item: Optional[Union[list, tuple, dict, ivy.Array, ivy.NativeArray]] = None,\n as_native: bool = None,\n) -> Union[ivy.Device, ivy.NativeDevice]:\n \"\"\"\n Return the input device or the default device. If the as_native flag is set, the\n device will be converted to a native device. If the item is provided, the item's\n device is returned. If the device is not provided, the last default device is\n returned. If a default device has not been set, the first gpu is returned if\n available, otherwise the cpu is returned.\n\n Parameters\n ----------\n device\n The device to be returned or converted.\n item\n The item to get the device from.\n as_native\n Whether to convert the device to a native device.\n\n Returns\n -------\n ret\n Device handle or string.\n\n Examples\n --------\n >>> ivy.default_device()\n device(type='cpu')\n\n >>> ivy.default_device(\"gpu:0\")\n 'gpu:0'\n\n >>> ivy.default_device(item=[], as_native=False)\n 'cpu'\n\n >>> ivy.default_device(item=(), as_native=True)\n device(type='cpu')\n\n >>> ivy.default_device(item={\"a\": 1}, as_native=True)\n device(type='cpu')\n\n >>> x = ivy.array([1., 2., 3.])\n >>> x = ivy.to_device(x, 'gpu:0')\n >>> ivy.default_device(item=x, as_native=True)\n device(type='gpu', id=0)\n \"\"\"\n if ivy.exists(device):\n if as_native is True:\n return ivy.as_native_dev(device)\n elif as_native is False:\n return ivy.as_ivy_dev(device)\n return device\n as_native = ivy.default(as_native, False)\n if ivy.exists(item):\n if isinstance(item, (list, tuple, dict)) and len(item) == 0:\n pass\n elif ivy.is_array(item):\n return ivy.dev(item, as_native=as_native)\n global default_device_stack\n if not default_device_stack:\n ret = \"cpu\"\n else:\n ret = default_device_stack[-1]\n if as_native:\n return ivy.as_native_dev(ret)\n return ivy.as_ivy_dev(ret)\n\n\n@handle_exceptions\ndef set_default_device(device: Union[ivy.Device, ivy.NativeDevice], /) -> None:\n \"\"\"\n Set the default device to given device instance.\n\n Parameters\n ----------\n device\n The device to set as the default device\n\n Examples\n --------\n >>> ivy.set_default_device(\"cpu\")\n >>> ivy.default_device()\n 'cpu'\n\n >>> ivy.set_backend(\"torch\")\n >>> ivy.set_default_device(\"gpu:0\")\n >>> ivy.default_device(as_native=True)\n device(type='cuda', index=0)\n\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.set_default_device(device)\n >>> ivy.default_device(as_native=True)\n device(type='cuda')\n \"\"\"\n global default_device_stack\n default_device_stack.append(device)\n\n\n@handle_exceptions\ndef unset_default_device() -> None:\n \"\"\"\n Reset the default device to \"cpu\".\n\n Examples\n --------\n >>> ivy.set_default_device(\"gpu:0\")\n >>> ivy.default_device()\n \"gpu:0\"\n >>> ivy.unset_default_device()\n >>> ivy.default_device()\n \"cpu\"\n \"\"\"\n global default_device_stack\n if default_device_stack:\n default_device_stack.pop(-1)\n\n\n# Device Allocation #\n\n\n@handle_exceptions\n@handle_backend_invalid\n@handle_nestable\n@handle_array_like_without_promotion\n@handle_out_argument\n@to_native_arrays_and_back\ndef to_device(\n x: Union[ivy.Array, ivy.NativeArray],\n device: Union[ivy.Device, ivy.NativeDevice],\n /,\n *,\n stream: Optional[Union[int, Any]] = None,\n out: Optional[ivy.Array] = None,\n) -> ivy.Array:\n \"\"\"\n Move the input array x to the desired device, specified by device string.\n\n Parameters\n ----------\n x\n input array to be moved to the desired device\n device\n device to move the input array `x` to\n stream\n stream object to use during copy. In addition to the types supported in\n array.__dlpack__(), implementations may choose to support any library-specific\n stream object with the caveat that any code using such an object would not be\n portable.\n out\n optional output array, for writing the result to. It must have a shape that the\n inputs broadcast to.\n\n Returns\n -------\n ret\n input array x placed on the desired device\n\n Examples\n --------\n >>> x = ivy.array([1., 2., 3.])\n >>> x = ivy.to_device(x, 'cpu')\n >>> print(x.device)\n cpu\n \"\"\"\n return ivy.current_backend(x).to_device(x, device, stream=stream, out=out)\n\n\n# Function Splitting #\n\n\n@handle_exceptions\ndef split_factor(\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n /,\n) -> float:\n \"\"\"\n Get a device's global split factor, which can be used to scale the device's batch\n splitting chunk sizes across the codebase.\n\n If the global split factor is set for a given device,\n returns the split factor value for the device from the split factors dictionary\n If the global split factor for a device is not configured,\n returns the default value which is 0.0\n\n Parameters\n ----------\n device\n The device to query the split factor for. Sets the default device by default.\n\n Returns\n -------\n ret\n The split factor for the specified device.\n\n Examples\n --------\n >>> x = ivy.split_factor()\n >>> print(x)\n 0.0\n\n >>> y = ivy.split_factor(\"gpu:0\")\n >>> print(y)\n 0.0\n \"\"\"\n global split_factors\n device = ivy.default(device, default_device())\n return split_factors.setdefault(device, 0.0)\n\n\n@handle_exceptions\ndef set_split_factor(\n factor: float, /, *, device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None\n) -> None:\n \"\"\"\n Set the global split factor for a given device, which can be used to scale batch\n splitting chunk sizes for the device across the codebase.\n\n Parameters\n ----------\n factor\n The factor to set the device-specific split factor to.\n device\n The device to set the split factor for. Sets the default device by default.\n\n Examples\n --------\n >>> print(ivy.default_device())\n cpu\n\n >>> ivy.set_split_factor(0.5)\n >>> print(ivy.split_factors)\n {'cpu': 0.5}\n\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.set_split_factor(0.3, device=device)\n >>> print(ivy.split_factors)\n {device(type='cuda'): 0.3}\n\n >>> ivy.set_split_factor(0.4, device=\"tpu\")\n >>> print(ivy.split_factors)\n {'tpu': 0.4}\n\n >>> import torch\n >>> ivy.set_backend(\"torch\")\n >>> device = torch.device(\"cuda\")\n >>> ivy.set_split_factor(0.2)\n >>> ivy.set_split_factor(0.3, device='gpu')\n >>> print(ivy.split_factors)\n {'cpu': 0.2, 'gpu': 0.3}\n \"\"\"\n ivy.utils.assertions.check_less(0, factor, allow_equal=True, as_array=False)\n global split_factors\n device = ivy.default(device, default_device())\n split_factors[device] = factor\n\n\n@handle_exceptions\ndef split_func_call(\n func: Callable,\n inputs: Union[ivy.Array, ivy.NativeArray],\n mode: str,\n /,\n *,\n max_chunk_size: Optional[int] = None,\n chunk_size: Optional[int] = None,\n input_axes: Union[int, Iterable[int]] = 0,\n output_axes: Optional[Union[int, Iterable[int]]] = None,\n stop_gradients: bool = False,\n device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,\n) -> Union[ivy.Array, ivy.NativeArray]:\n \"\"\"\n Call a function by splitting its inputs along a given axis, and calling the function\n in chunks, rather than feeding the entire input array at once. This can be useful to\n reduce memory usage of the device the arrays are on.\n\n Parameters\n ----------\n func\n The function to be called.\n inputs\n A list of inputs to pass into the function.\n mode\n The mode by which to unify the return values, must be one of\n [ concat | mean | sum ]\n max_chunk_size\n The maximum size of each of the chunks to be fed into the function.\n chunk_size\n The size of each of the chunks to be fed into the function. Specifying this arg\n overwrites the global split factor. Default is ``None``.\n input_axes\n The axes along which to split each of the inputs, before passing to the\n function. Default is ``0``.\n output_axes\n The axes along which to concat each of the returned outputs. Default is same as\n fist input axis.\n stop_gradients\n Whether to stop the gradients for each computed return. Default is ``False``.\n device\n The device to set the split factor for. Sets the default device by default.\n\n Returns\n -------\n ret\n The return from the function, following input splitting and re-concattenation.\n \"\"\"\n if isinstance(input_axes, int):\n input_axes = [input_axes] * len(inputs)\n if not ivy.exists(max_chunk_size) and not ivy.exists(chunk_size):\n shape_key = \"_\".join([str(inp.shape) for inp in inputs])\n if shape_key in max_chunk_sizes:\n max_chunk_size = max_chunk_sizes[shape_key]\n else:\n max_chunk_size = 0\n max_dim = max(\n [inp.cont_shape[inp_ax] for inp, inp_ax in zip(inputs, input_axes)]\n )\n if max_dim > max_chunk_size:\n max_chunk_sizes[shape_key] = max_dim\n max_chunk_size = max_dim\n chunk_size = ivy.default(\n chunk_size,\n default_val=lambda: 1\n + int(\n round((max_chunk_size - 1) * ivy.split_factor(ivy.default_device(device)))\n ),\n with_callable=True,\n )\n dim_size = inputs[0].shape[input_axes[0]]\n if chunk_size >= dim_size:\n return func(*inputs)\n num_chunks = dim_size / chunk_size\n num_chunks_floored = math.floor(num_chunks)\n num_chunks_ceiled = math.ceil(num_chunks)\n chunk_sizes = [chunk_size] * num_chunks_floored\n if num_chunks != num_chunks_floored:\n chunk_sizes.append(dim_size - chunk_size * num_chunks_floored)\n inputs_split = [\n (\n ivy.split(\n inp,\n num_or_size_splits=chunk_sizes,\n axis=input_axes[i],\n with_remainder=True,\n )\n if ivy.is_array(inp)\n else inp.split(\n num_or_size_splits=chunk_sizes, axis=input_axes[i], with_remainder=True\n )\n )\n for i, inp in enumerate(inputs)\n ]\n is_mean = mode == \"mean\"\n is_sum = mode == \"sum\"\n post_fn = ivy.stop_gradient if stop_gradients else lambda x: x\n if is_mean or is_sum:\n sums = None\n for inps in zip(*inputs_split):\n if not sums:\n sums = func(*inps)\n sums = (\n [post_fn(s) for s in sums]\n if isinstance(sums, tuple)\n else [post_fn(sums)]\n )\n else:\n ret = func(*inps)\n if isinstance(ret, tuple):\n for i, r in enumerate(ret):\n sums[i] = sums[i] + post_fn(r)\n else:\n sums[0] = sums[0] + post_fn(ret)\n sums_or_means = [s / num_chunks_ceiled for s in sums] if is_mean else sums\n return sums_or_means[0] if len(sums_or_means) == 1 else tuple(sums_or_means)\n rets = [func(*i) for i in zip(*inputs_split)]\n rets = [\n tuple([post_fn(r) for r in ret]) if isinstance(ret, tuple) else (post_fn(ret),)\n for ret in rets\n ]\n num_outputs = len(rets[0])\n if output_axes is None:\n output_axes = [input_axes[0]] * num_outputs\n elif isinstance(output_axes, int):\n output_axes = [output_axes] * num_outputs\n ret = [\n ivy.concat([r[i] for r in rets], axis=output_axes[i])\n for i in range(num_outputs)\n ]\n return ret[0] if len(ret) == 1 else ret\n\n\ndef _is_valid_devices_attributes(fn: Callable) -> bool:\n if hasattr(fn, \"supported_devices\") and hasattr(fn, \"unsupported_devices\"):\n fn_supported_devices = fn.supported_devices\n fn_unsupported_devices = fn.unsupported_devices\n if isinstance(fn_supported_devices, dict):\n if isinstance(fn_unsupported_devices, dict):\n backend_str = ivy.current_backend_str()\n if (\n backend_str in fn_supported_devices\n and backend_str in fn_unsupported_devices\n ):\n return False\n else:\n if isinstance(fn_unsupported_devices, tuple):\n return False\n return True\n\n\ndef _get_devices(fn: Callable, complement: bool = True) -> Tuple:\n valid_devices = ivy.valid_devices\n invalid_devices = ivy.invalid_devices\n all_devices = ivy.all_devices\n\n supported = set(ivy.valid_devices)\n\n is_backend_fn = \"backend\" in fn.__module__\n is_frontend_fn = \"frontend\" in fn.__module__\n is_einops_fn = \"einops\" in fn.__name__\n if not is_backend_fn and not is_frontend_fn and not is_einops_fn:\n if complement:\n supported = set(all_devices).difference(supported)\n return supported\n\n # Their values are formated like either\n # 1. fn.supported_devices = (\"cpu\",)\n # Could also have the \"all\" value for the framework\n basic = [\n (\"supported_devices\", set.intersection, valid_devices),\n (\"unsupported_devices\", set.difference, invalid_devices),\n ]\n for key, merge_fn, base in basic:\n if hasattr(fn, key):\n v = getattr(fn, key)\n if \"einops\" in fn.__name__ and isinstance(v, dict):\n v = v.get(ivy.current_backend_str(), base)\n ivy.utils.assertions.check_isinstance(v, tuple)\n supported = merge_fn(supported, set(v))\n\n if complement:\n supported = set(all_devices).difference(supported)\n\n return tuple(supported)\n\n\n@handle_exceptions\n@handle_nestable\ndef function_supported_devices(\n fn: Callable, recurse: bool = True\n) -> Union[Tuple, dict]:\n \"\"\"\n Return the supported devices of the current backend's function. The function returns\n a dict containing the supported devices for the compositional and primary\n implementations in case of partial mixed functions.\n\n Parameters\n ----------\n fn\n The function to check for the supported device attribute\n recurse\n Whether to recurse into used ivy functions. Default is ``True``.\n\n Returns\n -------\n ret\n Tuple or dict containing the supported devices of the function\n\n Examples\n --------\n >>> import ivy\n >>> print(ivy.function_supported_devices(ivy.ones))\n ('cpu', 'gpu')\n \"\"\"\n ivy.utils.assertions.check_true(\n _is_valid_devices_attributes(fn),\n \"supported_devices and unsupported_devices attributes cannot both \"\n \"exist in a particular backend\",\n )\n if hasattr(fn, \"partial_mixed_handler\"):\n return {\n \"compositional\": function_supported_devices(fn.compos, recurse=recurse),\n \"primary\": _get_devices(fn, complement=False),\n }\n else:\n supported_devices = set(_get_devices(fn, complement=False))\n if recurse:\n supported_devices = ivy.functional.data_type._nested_get(\n fn, supported_devices, set.intersection, function_supported_devices\n )\n\n return (\n supported_devices\n if isinstance(supported_devices, dict)\n else tuple(supported_devices)\n )\n\n\n@handle_exceptions\n@handle_nestable\ndef function_unsupported_devices(\n fn: Callable, recurse: bool = True\n) -> Union[Tuple, dict]:\n \"\"\"\n Return the unsupported devices of the current backend's function. The function\n returns a dict containing the unsupported devices for the compositional and primary\n implementations in case of partial mixed functions.\n\n Parameters\n ----------\n fn\n The function to check for the unsupported device attribute\n recurse\n Whether to recurse into used ivy functions. Default is ``True``.\n\n Returns\n -------\n ret\n Tuple or dict containing the unsupported devices of the function\n\n Examples\n --------\n >>> print(ivy.function_unsupported_devices(ivy.ones))\n ('tpu',)\n \"\"\"\n ivy.utils.assertions.check_true(\n _is_valid_devices_attributes(fn),\n \"supported_devices and unsupported_devices attributes cannot both \"\n \"exist in a particular backend\",\n )\n if hasattr(fn, \"partial_mixed_handler\"):\n return {\n \"compositional\": function_unsupported_devices(fn.compos, recurse=recurse),\n \"primary\": _get_devices(fn, complement=True),\n }\n else:\n unsupported_devices = set(_get_devices(fn, complement=True))\n if recurse:\n unsupported_devices = ivy.functional.data_type._nested_get(\n fn, unsupported_devices, set.union, function_unsupported_devices\n )\n return (\n unsupported_devices\n if isinstance(unsupported_devices, dict)\n else tuple(unsupported_devices)\n )\n\n\n# Profiler #\n\n\nclass Profiler(abc.ABC):\n \"\"\"\n The profiler class is used to profile the execution of some code.\n\n Parameters\n ----------\n save_dir\n The directory to save the profile data to.\n \"\"\"\n\n def __init__(self, save_dir: str):\n self._save_dir = save_dir\n\n @abc.abstractmethod\n def start(self):\n \"\"\"\n Start the profiler.\n\n This should be called before the code to be profiled.\n \"\"\"\n raise ivy.utils.exceptions.IvyNotImplementedException\n\n @abc.abstractmethod\n def stop(self):\n \"\"\"\n Stop the profiler.\n\n This should be called after the code to be profiled.\n \"\"\"\n raise ivy.utils.exceptions.IvyNotImplementedException\n\n @abc.abstractmethod\n def __enter__(self):\n raise ivy.utils.exceptions.IvyNotImplementedException\n\n @abc.abstractmethod\n def __exit__(self, exc_type, exc_val, exc_tb):\n raise ivy.utils.exceptions.IvyNotImplementedException\n", "path": "ivy/functional/ivy/device.py" } ]
diff --git a/ivy/functional/ivy/device.py b/ivy/functional/ivy/device.py index 5fb9e937c1997..98ec383728ba5 100644 --- a/ivy/functional/ivy/device.py +++ b/ivy/functional/ivy/device.py @@ -639,7 +639,10 @@ def percent_used_mem_on_dev( @handle_exceptions -def dev_util(device: Union[ivy.Device, ivy.NativeDevice], /) -> float: +def dev_util( + device: Union[ivy.Device, ivy.NativeDevice], + /, +) -> float: """ Get the current utilization (%) for a given device.
dev_util
pallets__werkzeug-1515
[ { "content": "\"\"\"\nApplication Profiler\n====================\n\nThis module provides a middleware that profiles each request with the\n:mod:`cProfile` module. This can help identify bottlenecks in your code\nthat may be slowing down your application.\n\n.. autoclass:: ProfilerMiddleware\n\n:copyright: 2007 Pallets\n:license: BSD-3-Clause\n\"\"\"\nfrom __future__ import print_function\n\nimport os.path\nimport sys\nimport time\nfrom pstats import Stats\n\ntry:\n from cProfile import Profile\nexcept ImportError:\n from profile import Profile\n\n\nclass ProfilerMiddleware(object):\n \"\"\"Wrap a WSGI application and profile the execution of each\n request. Responses are buffered so that timings are more exact.\n\n If ``stream`` is given, :class:`pstats.Stats` are written to it\n after each request. If ``profile_dir`` is given, :mod:`cProfile`\n data files are saved to that directory, one file per request.\n\n The filename can be customized by passing ``filename_format``. If\n it is a string, it will be formatted using :meth:`str.format` with\n the following fields available:\n\n - ``{method}`` - The request method; GET, POST, etc.\n - ``{path}`` - The request path or 'root' should one not exist.\n - ``{elapsed}`` - The elapsed time of the request.\n - ``{time}`` - The time of the request.\n\n If it is a callable, it will be called with the WSGI ``environ``\n dict and should return a filename.\n\n :param app: The WSGI application to wrap.\n :param stream: Write stats to this stream. Disable with ``None``.\n :param sort_by: A tuple of columns to sort stats by. See\n :meth:`pstats.Stats.sort_stats`.\n :param restrictions: A tuple of restrictions to filter stats by. See\n :meth:`pstats.Stats.print_stats`.\n :param profile_dir: Save profile data files to this directory.\n :param filename_format: Format string for profile data file names,\n or a callable returning a name. See explanation above.\n\n .. code-block:: python\n\n from werkzeug.middleware.profile import ProfilerMiddleware\n app = ProfilerMiddleware(app)\n\n .. versionchanged:: 0.15\n Stats are written even if ``profile_dir`` is given, and can be\n disable by passing ``stream=None``.\n\n .. versionadded:: 0.15\n Added ``filename_format``.\n\n .. versionadded:: 0.9\n Added ``restrictions`` and ``profile_dir``.\n \"\"\"\n\n def __init__(\n self,\n app,\n stream=sys.stdout,\n sort_by=(\"time\", \"calls\"),\n restrictions=(),\n profile_dir=None,\n filename_format=\"{method}.{path}.{elapsed:06d}ms.{time:d}.prof\",\n ):\n self._app = app\n self._stream = stream\n self._sort_by = sort_by\n self._restrictions = restrictions\n self._profile_dir = profile_dir\n self._filename_format = filename_format\n\n def __call__(self, environ, start_response):\n response_body = []\n\n def catching_start_response(status, headers, exc_info=None):\n start_response(status, headers, exc_info)\n return response_body.append\n\n def runapp():\n app_iter = self._app(environ, catching_start_response)\n response_body.extend(app_iter)\n\n if hasattr(app_iter, \"close\"):\n app_iter.close()\n\n profile = Profile()\n start = time.time()\n profile.runcall(runapp)\n body = b\"\".join(response_body)\n elapsed = time.time() - start\n\n if self._profile_dir is not None:\n if callable(self._filename_format):\n filename = self._filename_format(environ)\n else:\n filename = self._filename_format.format(\n method=environ[\"REQUEST_METHOD\"],\n path=(\n environ.get(\"PATH_INFO\").strip(\"/\").replace(\"/\", \".\") or \"root\"\n ),\n elapsed=elapsed * 1000.0,\n time=time.time(),\n )\n filename = os.path.join(self._profile_dir, filename)\n profile.dump_stats(filename)\n\n if self._stream is not None:\n stats = Stats(profile, stream=self._stream)\n stats.sort_stats(*self._sort_by)\n print(\"-\" * 80, file=self._stream)\n print(\"PATH: {!r}\".format(environ.get(\"PATH_INFO\", \"\")), file=self._stream)\n stats.print_stats(*self._restrictions)\n print(\"-\" * 80 + \"\\n\", file=self._stream)\n\n return [body]\n", "path": "src/werkzeug/middleware/profiler.py" } ]
[ { "content": "\"\"\"\nApplication Profiler\n====================\n\nThis module provides a middleware that profiles each request with the\n:mod:`cProfile` module. This can help identify bottlenecks in your code\nthat may be slowing down your application.\n\n.. autoclass:: ProfilerMiddleware\n\n:copyright: 2007 Pallets\n:license: BSD-3-Clause\n\"\"\"\nfrom __future__ import print_function\n\nimport os.path\nimport sys\nimport time\nfrom pstats import Stats\n\ntry:\n from cProfile import Profile\nexcept ImportError:\n from profile import Profile\n\n\nclass ProfilerMiddleware(object):\n \"\"\"Wrap a WSGI application and profile the execution of each\n request. Responses are buffered so that timings are more exact.\n\n If ``stream`` is given, :class:`pstats.Stats` are written to it\n after each request. If ``profile_dir`` is given, :mod:`cProfile`\n data files are saved to that directory, one file per request.\n\n The filename can be customized by passing ``filename_format``. If\n it is a string, it will be formatted using :meth:`str.format` with\n the following fields available:\n\n - ``{method}`` - The request method; GET, POST, etc.\n - ``{path}`` - The request path or 'root' should one not exist.\n - ``{elapsed}`` - The elapsed time of the request.\n - ``{time}`` - The time of the request.\n\n If it is a callable, it will be called with the WSGI ``environ``\n dict and should return a filename.\n\n :param app: The WSGI application to wrap.\n :param stream: Write stats to this stream. Disable with ``None``.\n :param sort_by: A tuple of columns to sort stats by. See\n :meth:`pstats.Stats.sort_stats`.\n :param restrictions: A tuple of restrictions to filter stats by. See\n :meth:`pstats.Stats.print_stats`.\n :param profile_dir: Save profile data files to this directory.\n :param filename_format: Format string for profile data file names,\n or a callable returning a name. See explanation above.\n\n .. code-block:: python\n\n from werkzeug.middleware.profiler import ProfilerMiddleware\n app = ProfilerMiddleware(app)\n\n .. versionchanged:: 0.15\n Stats are written even if ``profile_dir`` is given, and can be\n disable by passing ``stream=None``.\n\n .. versionadded:: 0.15\n Added ``filename_format``.\n\n .. versionadded:: 0.9\n Added ``restrictions`` and ``profile_dir``.\n \"\"\"\n\n def __init__(\n self,\n app,\n stream=sys.stdout,\n sort_by=(\"time\", \"calls\"),\n restrictions=(),\n profile_dir=None,\n filename_format=\"{method}.{path}.{elapsed:06d}ms.{time:d}.prof\",\n ):\n self._app = app\n self._stream = stream\n self._sort_by = sort_by\n self._restrictions = restrictions\n self._profile_dir = profile_dir\n self._filename_format = filename_format\n\n def __call__(self, environ, start_response):\n response_body = []\n\n def catching_start_response(status, headers, exc_info=None):\n start_response(status, headers, exc_info)\n return response_body.append\n\n def runapp():\n app_iter = self._app(environ, catching_start_response)\n response_body.extend(app_iter)\n\n if hasattr(app_iter, \"close\"):\n app_iter.close()\n\n profile = Profile()\n start = time.time()\n profile.runcall(runapp)\n body = b\"\".join(response_body)\n elapsed = time.time() - start\n\n if self._profile_dir is not None:\n if callable(self._filename_format):\n filename = self._filename_format(environ)\n else:\n filename = self._filename_format.format(\n method=environ[\"REQUEST_METHOD\"],\n path=(\n environ.get(\"PATH_INFO\").strip(\"/\").replace(\"/\", \".\") or \"root\"\n ),\n elapsed=elapsed * 1000.0,\n time=time.time(),\n )\n filename = os.path.join(self._profile_dir, filename)\n profile.dump_stats(filename)\n\n if self._stream is not None:\n stats = Stats(profile, stream=self._stream)\n stats.sort_stats(*self._sort_by)\n print(\"-\" * 80, file=self._stream)\n print(\"PATH: {!r}\".format(environ.get(\"PATH_INFO\", \"\")), file=self._stream)\n stats.print_stats(*self._restrictions)\n print(\"-\" * 80 + \"\\n\", file=self._stream)\n\n return [body]\n", "path": "src/werkzeug/middleware/profiler.py" } ]
diff --git a/src/werkzeug/middleware/profiler.py b/src/werkzeug/middleware/profiler.py index 8e2edc20a..289879d94 100644 --- a/src/werkzeug/middleware/profiler.py +++ b/src/werkzeug/middleware/profiler.py @@ -56,7 +56,7 @@ class ProfilerMiddleware(object): .. code-block:: python - from werkzeug.middleware.profile import ProfilerMiddleware + from werkzeug.middleware.profiler import ProfilerMiddleware app = ProfilerMiddleware(app) .. versionchanged:: 0.15
ProfilerMiddleware Missing in Latest Release ### Environment ``` $ sw_vers ProductName: Mac OS X ProductVersion: 10.14.4 BuildVersion: 18E226 $ python --version Python 3.7.3 $ pip freeze Werkzeug==0.15.2 ``` ### Observed Behavior Inability to import the ProfilerMiddleware from werkzeug as described in [the documentation](https://werkzeug.palletsprojects.com/en/0.15.x/middleware/profiler/) ``` >>> from werkzeug.middleware.profile import ProfilerMiddleware Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'werkzeug.middleware.profile' ``` ### Steps to Reproduce ``` [~/git] $ mkdir test_venv [~/git] $ cd test_venv/ [~/git/test_venv] $ python3 -m venv venv [~/git/test_venv] $ source venv/bin/activate (venv) [~/git/test_venv] $ pip --version pip 19.0.3 from /Users/cchapline/git/test_venv/venv/lib/python3.7/site-packages/pip (python 3.7) (venv) [~/git/test_venv] $ pip install werkzeug Collecting werkzeug Using cached https://files.pythonhosted.org/packages/18/79/84f02539cc181cdbf5ff5a41b9f52cae870b6f632767e43ba6ac70132e92/Werkzeug-0.15.2-py2.py3-none-any.whl Installing collected packages: werkzeug Successfully installed werkzeug-0.15.2 (venv) [~/git/test_venv] $ python Python 3.7.3 (default, Apr 4 2019, 10:56:22) [Clang 10.0.1 (clang-1001.0.46.3)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from werkzeug.middleware.profile import ProfilerMiddleware Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'werkzeug.middleware.profile' >>> import werkzeug.middleware as mw >>> dir(mw) ['__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', 'dispatcher', 'http_proxy', 'shared_data'] ``` ### Expected Behavior The `ImportError` should not occur as I can see the code in `site-packages`: ``` (venv) [~/git/test_venv] $ ls venv/lib/python3.7/site-packages/werkzeug/middleware/profiler.py venv/lib/python3.7/site-packages/werkzeug/middleware/profiler.py ```
buildbot__buildbot-1208
[ { "content": "# This file is part of Buildbot. Buildbot is free software: you can\n# redistribute it and/or modify it under the terms of the GNU General Public\n# License as published by the Free Software Foundation, version 2.\n#\n# This program is distributed in the hope that it will be useful, but WITHOUT\n# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS\n# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more\n# details.\n#\n# You should have received a copy of the GNU General Public License along with\n# this program; if not, write to the Free Software Foundation, Inc., 51\n# Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n#\n# Copyright Buildbot Team Members\n\nimport os\nimport time\n\nfrom twisted.internet import defer\nfrom twisted.internet import utils\nfrom twisted.python import log\n\nfrom buildbot import config\nfrom buildbot.changes import base\nfrom buildbot.util import ascii2unicode\nfrom buildbot.util import deferredLocked\n\n\nclass HgPoller(base.PollingChangeSource):\n\n \"\"\"This source will poll a remote hg repo for changes and submit\n them to the change master.\"\"\"\n\n compare_attrs = (\"repourl\", \"branch\", \"workdir\",\n \"pollInterval\", \"hgpoller\", \"usetimestamps\",\n \"category\", \"project\", \"pollAtLaunch\")\n\n db_class_name = 'HgPoller'\n\n def __init__(self, repourl, branch='default',\n workdir=None, pollInterval=10 * 60,\n hgbin='hg', usetimestamps=True,\n category=None, project='', pollinterval=-2,\n encoding='utf-8', name=None, pollAtLaunch=False):\n\n # for backward compatibility; the parameter used to be spelled with 'i'\n if pollinterval != -2:\n pollInterval = pollinterval\n\n if name is None:\n name = repourl\n\n self.repourl = repourl\n self.branch = branch\n base.PollingChangeSource.__init__(\n self, name=name, pollInterval=pollInterval, pollAtLaunch=pollAtLaunch)\n self.encoding = encoding\n self.lastChange = time.time()\n self.lastPoll = time.time()\n self.hgbin = hgbin\n self.workdir = workdir\n self.usetimestamps = usetimestamps\n self.category = category\n self.project = project\n self.commitInfo = {}\n self.initLock = defer.DeferredLock()\n\n if self.workdir is None:\n config.error(\"workdir is mandatory for now in HgPoller\")\n\n def describe(self):\n status = \"\"\n if not self.master:\n status = \"[STOPPED - check log]\"\n return (\"HgPoller watching the remote Mercurial repository %r, \"\n \"branch: %r, in workdir %r %s\") % (self.repourl, self.branch,\n self.workdir, status)\n\n @deferredLocked('initLock')\n def poll(self):\n d = self._getChanges()\n d.addCallback(self._processChanges)\n d.addErrback(self._processChangesFailure)\n return d\n\n def _absWorkdir(self):\n workdir = self.workdir\n if os.path.isabs(workdir):\n return workdir\n return os.path.join(self.master.basedir, workdir)\n\n def _getRevDetails(self, rev):\n \"\"\"Return a deferred for (date, author, files, comments) of given rev.\n\n Deferred will be in error if rev is unknown.\n \"\"\"\n args = ['log', '-r', rev, os.linesep.join((\n '--template={date|hgdate}',\n '{author}',\n \"{files % '{file}\" + os.pathsep + \"'}\",\n '{desc|strip}'))]\n # Mercurial fails with status 255 if rev is unknown\n d = utils.getProcessOutput(self.hgbin, args, path=self._absWorkdir(),\n env=os.environ, errortoo=False)\n\n def process(output):\n # all file names are on one line\n date, author, files, comments = output.decode(self.encoding, \"replace\").split(\n os.linesep, 3)\n\n if not self.usetimestamps:\n stamp = None\n else:\n try:\n stamp = float(date.split()[0])\n except:\n log.msg('hgpoller: caught exception converting output %r '\n 'to timestamp' % date)\n raise\n return stamp, author.strip(), files.split(os.pathsep)[:-1], comments.strip()\n\n d.addCallback(process)\n return d\n\n def _isRepositoryReady(self):\n \"\"\"Easy to patch in tests.\"\"\"\n return os.path.exists(os.path.join(self._absWorkdir(), '.hg'))\n\n def _initRepository(self):\n \"\"\"Have mercurial init the workdir as a repository (hg init) if needed.\n\n hg init will also create all needed intermediate directories.\n \"\"\"\n if self._isRepositoryReady():\n return defer.succeed(None)\n log.msg('hgpoller: initializing working dir from %s' % self.repourl)\n d = utils.getProcessOutputAndValue(self.hgbin,\n ['init', self._absWorkdir()],\n env=os.environ)\n d.addCallback(self._convertNonZeroToFailure)\n d.addErrback(self._stopOnFailure)\n d.addCallback(lambda _: log.msg(\n \"hgpoller: finished initializing working dir %r\" % self.workdir))\n return d\n\n def _getChanges(self):\n self.lastPoll = time.time()\n\n d = self._initRepository()\n d.addCallback(lambda _: log.msg(\n \"hgpoller: polling hg repo at %s\" % self.repourl))\n\n # get a deferred object that performs the fetch\n args = ['pull', '-b', self.branch, self.repourl]\n\n # This command always produces data on stderr, but we actually do not\n # care about the stderr or stdout from this command.\n # We set errortoo=True to avoid an errback from the deferred.\n # The callback which will be added to this\n # deferred will not use the response.\n d.addCallback(lambda _: utils.getProcessOutput(\n self.hgbin, args, path=self._absWorkdir(),\n env=os.environ, errortoo=True))\n\n return d\n\n def _getStateObjectId(self):\n \"\"\"Return a deferred for object id in state db.\n\n Being unique among pollers, workdir is used with branch as instance\n name for db.\n \"\"\"\n return self.master.db.state.getObjectId(\n '#'.join((self.workdir, self.branch)), self.db_class_name)\n\n def _getCurrentRev(self):\n \"\"\"Return a deferred for object id in state db and current numeric rev.\n\n If never has been set, current rev is None.\n \"\"\"\n d = self._getStateObjectId()\n\n def oid_cb(oid):\n d = self.master.db.state.getState(oid, 'current_rev', None)\n\n def addOid(cur):\n if cur is not None:\n return oid, int(cur)\n return oid, cur\n d.addCallback(addOid)\n return d\n d.addCallback(oid_cb)\n return d\n\n def _setCurrentRev(self, rev, oid=None):\n \"\"\"Return a deferred to set current revision in persistent state.\n\n oid is self's id for state db. It can be passed to avoid a db lookup.\"\"\"\n if oid is None:\n d = self._getStateObjectId()\n else:\n d = defer.succeed(oid)\n\n def set_in_state(obj_id):\n return self.master.db.state.setState(obj_id, 'current_rev', rev)\n d.addCallback(set_in_state)\n\n return d\n\n def _getHead(self):\n \"\"\"Return a deferred for branch head revision or None.\n\n We'll get an error if there is no head for this branch, which is\n proabably a good thing, since it's probably a mispelling\n (if really buildbotting a branch that does not have any changeset\n yet, one shouldn't be surprised to get errors)\n \"\"\"\n d = utils.getProcessOutput(self.hgbin,\n ['heads', self.branch, '--template={rev}' + os.linesep],\n path=self._absWorkdir(), env=os.environ, errortoo=False)\n\n def no_head_err(exc):\n log.err(\"hgpoller: could not find branch %r in repository %r\" % (\n self.branch, self.repourl))\n d.addErrback(no_head_err)\n\n def results(heads):\n if not heads:\n return\n\n if len(heads.split()) > 1:\n log.err((\"hgpoller: caught several heads in branch %r \"\n \"from repository %r. Staying at previous revision\"\n \"You should wait until the situation is normal again \"\n \"due to a merge or directly strip if remote repo \"\n \"gets stripped later.\") % (self.branch, self.repourl))\n return\n\n # in case of whole reconstruction, are we sure that we'll get the\n # same node -> rev assignations ?\n return int(heads.strip())\n\n d.addCallback(results)\n return d\n\n @defer.inlineCallbacks\n def _processChanges(self, unused_output):\n \"\"\"Send info about pulled changes to the master and record current.\n\n GitPoller does the recording by moving the working dir to the head\n of the branch.\n We don't update the tree (unnecessary treatment and waste of space)\n instead, we simply store the current rev number in a file.\n Recall that hg rev numbers are local and incremental.\n \"\"\"\n oid, current = yield self._getCurrentRev()\n # hg log on a range of revisions is never empty\n # also, if a numeric revision does not exist, a node may match.\n # Therefore, we have to check explicitely that branch head > current.\n head = yield self._getHead()\n if head <= current:\n return\n if current is None:\n # we could have used current = -1 convention as well (as hg does)\n revrange = '%d:%d' % (head, head)\n else:\n revrange = '%d:%s' % (current + 1, head)\n\n # two passes for hg log makes parsing simpler (comments is multi-lines)\n revListArgs = ['log', '-b', self.branch, '-r', revrange,\n r'--template={rev}:{node}\\n']\n results = yield utils.getProcessOutput(self.hgbin, revListArgs,\n path=self._absWorkdir(), env=os.environ, errortoo=False)\n\n revNodeList = [rn.split(':', 1) for rn in results.strip().split()]\n\n log.msg('hgpoller: processing %d changes: %r in %r'\n % (len(revNodeList), revNodeList, self._absWorkdir()))\n for rev, node in revNodeList:\n timestamp, author, files, comments = yield self._getRevDetails(\n node)\n yield self.master.data.updates.addChange(\n author=author,\n revision=unicode(node),\n files=files,\n comments=comments,\n when_timestamp=int(timestamp),\n branch=ascii2unicode(self.branch),\n category=ascii2unicode(self.category),\n project=ascii2unicode(self.project),\n repository=ascii2unicode(self.repourl),\n src=u'hg')\n # writing after addChange so that a rev is never missed,\n # but at once to avoid impact from later errors\n yield self._setCurrentRev(rev, oid=oid)\n\n def _processChangesFailure(self, f):\n log.msg('hgpoller: repo poll failed')\n log.err(f)\n # eat the failure to continue along the deferred chain - we still want to catch up\n return None\n\n def _convertNonZeroToFailure(self, res):\n \"utility method to handle the result of getProcessOutputAndValue\"\n (stdout, stderr, code) = res\n if code != 0:\n raise EnvironmentError('command failed with exit code %d: %s' % (code, stderr))\n return (stdout, stderr, code)\n\n def _stopOnFailure(self, f):\n \"utility method to stop the service when a failure occurs\"\n if self.running:\n d = defer.maybeDeferred(lambda: self.stopService())\n d.addErrback(log.err, 'while stopping broken HgPoller service')\n return f\n", "path": "master/buildbot/changes/hgpoller.py" } ]
[ { "content": "# This file is part of Buildbot. Buildbot is free software: you can\n# redistribute it and/or modify it under the terms of the GNU General Public\n# License as published by the Free Software Foundation, version 2.\n#\n# This program is distributed in the hope that it will be useful, but WITHOUT\n# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS\n# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more\n# details.\n#\n# You should have received a copy of the GNU General Public License along with\n# this program; if not, write to the Free Software Foundation, Inc., 51\n# Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n#\n# Copyright Buildbot Team Members\n\nimport os\nimport time\n\nfrom twisted.internet import defer\nfrom twisted.internet import utils\nfrom twisted.python import log\n\nfrom buildbot import config\nfrom buildbot.changes import base\nfrom buildbot.util import ascii2unicode\nfrom buildbot.util import deferredLocked\n\n\nclass HgPoller(base.PollingChangeSource):\n\n \"\"\"This source will poll a remote hg repo for changes and submit\n them to the change master.\"\"\"\n\n compare_attrs = (\"repourl\", \"branch\", \"workdir\",\n \"pollInterval\", \"hgpoller\", \"usetimestamps\",\n \"category\", \"project\", \"pollAtLaunch\")\n\n db_class_name = 'HgPoller'\n\n def __init__(self, repourl, branch='default',\n workdir=None, pollInterval=10 * 60,\n hgbin='hg', usetimestamps=True,\n category=None, project='', pollinterval=-2,\n encoding='utf-8', name=None, pollAtLaunch=False):\n\n # for backward compatibility; the parameter used to be spelled with 'i'\n if pollinterval != -2:\n pollInterval = pollinterval\n\n if name is None:\n name = \"%s[%s]\" % (repourl, branch)\n\n self.repourl = repourl\n self.branch = branch\n base.PollingChangeSource.__init__(\n self, name=name, pollInterval=pollInterval, pollAtLaunch=pollAtLaunch)\n self.encoding = encoding\n self.lastChange = time.time()\n self.lastPoll = time.time()\n self.hgbin = hgbin\n self.workdir = workdir\n self.usetimestamps = usetimestamps\n self.category = category\n self.project = project\n self.commitInfo = {}\n self.initLock = defer.DeferredLock()\n\n if self.workdir is None:\n config.error(\"workdir is mandatory for now in HgPoller\")\n\n def describe(self):\n status = \"\"\n if not self.master:\n status = \"[STOPPED - check log]\"\n return (\"HgPoller watching the remote Mercurial repository %r, \"\n \"branch: %r, in workdir %r %s\") % (self.repourl, self.branch,\n self.workdir, status)\n\n @deferredLocked('initLock')\n def poll(self):\n d = self._getChanges()\n d.addCallback(self._processChanges)\n d.addErrback(self._processChangesFailure)\n return d\n\n def _absWorkdir(self):\n workdir = self.workdir\n if os.path.isabs(workdir):\n return workdir\n return os.path.join(self.master.basedir, workdir)\n\n def _getRevDetails(self, rev):\n \"\"\"Return a deferred for (date, author, files, comments) of given rev.\n\n Deferred will be in error if rev is unknown.\n \"\"\"\n args = ['log', '-r', rev, os.linesep.join((\n '--template={date|hgdate}',\n '{author}',\n \"{files % '{file}\" + os.pathsep + \"'}\",\n '{desc|strip}'))]\n # Mercurial fails with status 255 if rev is unknown\n d = utils.getProcessOutput(self.hgbin, args, path=self._absWorkdir(),\n env=os.environ, errortoo=False)\n\n def process(output):\n # all file names are on one line\n date, author, files, comments = output.decode(self.encoding, \"replace\").split(\n os.linesep, 3)\n\n if not self.usetimestamps:\n stamp = None\n else:\n try:\n stamp = float(date.split()[0])\n except:\n log.msg('hgpoller: caught exception converting output %r '\n 'to timestamp' % date)\n raise\n return stamp, author.strip(), files.split(os.pathsep)[:-1], comments.strip()\n\n d.addCallback(process)\n return d\n\n def _isRepositoryReady(self):\n \"\"\"Easy to patch in tests.\"\"\"\n return os.path.exists(os.path.join(self._absWorkdir(), '.hg'))\n\n def _initRepository(self):\n \"\"\"Have mercurial init the workdir as a repository (hg init) if needed.\n\n hg init will also create all needed intermediate directories.\n \"\"\"\n if self._isRepositoryReady():\n return defer.succeed(None)\n log.msg('hgpoller: initializing working dir from %s' % self.repourl)\n d = utils.getProcessOutputAndValue(self.hgbin,\n ['init', self._absWorkdir()],\n env=os.environ)\n d.addCallback(self._convertNonZeroToFailure)\n d.addErrback(self._stopOnFailure)\n d.addCallback(lambda _: log.msg(\n \"hgpoller: finished initializing working dir %r\" % self.workdir))\n return d\n\n def _getChanges(self):\n self.lastPoll = time.time()\n\n d = self._initRepository()\n d.addCallback(lambda _: log.msg(\n \"hgpoller: polling hg repo at %s\" % self.repourl))\n\n # get a deferred object that performs the fetch\n args = ['pull', '-b', self.branch, self.repourl]\n\n # This command always produces data on stderr, but we actually do not\n # care about the stderr or stdout from this command.\n # We set errortoo=True to avoid an errback from the deferred.\n # The callback which will be added to this\n # deferred will not use the response.\n d.addCallback(lambda _: utils.getProcessOutput(\n self.hgbin, args, path=self._absWorkdir(),\n env=os.environ, errortoo=True))\n\n return d\n\n def _getStateObjectId(self):\n \"\"\"Return a deferred for object id in state db.\n\n Being unique among pollers, workdir is used with branch as instance\n name for db.\n \"\"\"\n return self.master.db.state.getObjectId(\n '#'.join((self.workdir, self.branch)), self.db_class_name)\n\n def _getCurrentRev(self):\n \"\"\"Return a deferred for object id in state db and current numeric rev.\n\n If never has been set, current rev is None.\n \"\"\"\n d = self._getStateObjectId()\n\n def oid_cb(oid):\n d = self.master.db.state.getState(oid, 'current_rev', None)\n\n def addOid(cur):\n if cur is not None:\n return oid, int(cur)\n return oid, cur\n d.addCallback(addOid)\n return d\n d.addCallback(oid_cb)\n return d\n\n def _setCurrentRev(self, rev, oid=None):\n \"\"\"Return a deferred to set current revision in persistent state.\n\n oid is self's id for state db. It can be passed to avoid a db lookup.\"\"\"\n if oid is None:\n d = self._getStateObjectId()\n else:\n d = defer.succeed(oid)\n\n def set_in_state(obj_id):\n return self.master.db.state.setState(obj_id, 'current_rev', rev)\n d.addCallback(set_in_state)\n\n return d\n\n def _getHead(self):\n \"\"\"Return a deferred for branch head revision or None.\n\n We'll get an error if there is no head for this branch, which is\n proabably a good thing, since it's probably a mispelling\n (if really buildbotting a branch that does not have any changeset\n yet, one shouldn't be surprised to get errors)\n \"\"\"\n d = utils.getProcessOutput(self.hgbin,\n ['heads', self.branch, '--template={rev}' + os.linesep],\n path=self._absWorkdir(), env=os.environ, errortoo=False)\n\n def no_head_err(exc):\n log.err(\"hgpoller: could not find branch %r in repository %r\" % (\n self.branch, self.repourl))\n d.addErrback(no_head_err)\n\n def results(heads):\n if not heads:\n return\n\n if len(heads.split()) > 1:\n log.err((\"hgpoller: caught several heads in branch %r \"\n \"from repository %r. Staying at previous revision\"\n \"You should wait until the situation is normal again \"\n \"due to a merge or directly strip if remote repo \"\n \"gets stripped later.\") % (self.branch, self.repourl))\n return\n\n # in case of whole reconstruction, are we sure that we'll get the\n # same node -> rev assignations ?\n return int(heads.strip())\n\n d.addCallback(results)\n return d\n\n @defer.inlineCallbacks\n def _processChanges(self, unused_output):\n \"\"\"Send info about pulled changes to the master and record current.\n\n GitPoller does the recording by moving the working dir to the head\n of the branch.\n We don't update the tree (unnecessary treatment and waste of space)\n instead, we simply store the current rev number in a file.\n Recall that hg rev numbers are local and incremental.\n \"\"\"\n oid, current = yield self._getCurrentRev()\n # hg log on a range of revisions is never empty\n # also, if a numeric revision does not exist, a node may match.\n # Therefore, we have to check explicitely that branch head > current.\n head = yield self._getHead()\n if head <= current:\n return\n if current is None:\n # we could have used current = -1 convention as well (as hg does)\n revrange = '%d:%d' % (head, head)\n else:\n revrange = '%d:%s' % (current + 1, head)\n\n # two passes for hg log makes parsing simpler (comments is multi-lines)\n revListArgs = ['log', '-b', self.branch, '-r', revrange,\n r'--template={rev}:{node}\\n']\n results = yield utils.getProcessOutput(self.hgbin, revListArgs,\n path=self._absWorkdir(), env=os.environ, errortoo=False)\n\n revNodeList = [rn.split(':', 1) for rn in results.strip().split()]\n\n log.msg('hgpoller: processing %d changes: %r in %r'\n % (len(revNodeList), revNodeList, self._absWorkdir()))\n for rev, node in revNodeList:\n timestamp, author, files, comments = yield self._getRevDetails(\n node)\n yield self.master.data.updates.addChange(\n author=author,\n revision=unicode(node),\n files=files,\n comments=comments,\n when_timestamp=int(timestamp),\n branch=ascii2unicode(self.branch),\n category=ascii2unicode(self.category),\n project=ascii2unicode(self.project),\n repository=ascii2unicode(self.repourl),\n src=u'hg')\n # writing after addChange so that a rev is never missed,\n # but at once to avoid impact from later errors\n yield self._setCurrentRev(rev, oid=oid)\n\n def _processChangesFailure(self, f):\n log.msg('hgpoller: repo poll failed')\n log.err(f)\n # eat the failure to continue along the deferred chain - we still want to catch up\n return None\n\n def _convertNonZeroToFailure(self, res):\n \"utility method to handle the result of getProcessOutputAndValue\"\n (stdout, stderr, code) = res\n if code != 0:\n raise EnvironmentError('command failed with exit code %d: %s' % (code, stderr))\n return (stdout, stderr, code)\n\n def _stopOnFailure(self, f):\n \"utility method to stop the service when a failure occurs\"\n if self.running:\n d = defer.maybeDeferred(lambda: self.stopService())\n d.addErrback(log.err, 'while stopping broken HgPoller service')\n return f\n", "path": "master/buildbot/changes/hgpoller.py" } ]
diff --git a/master/buildbot/changes/hgpoller.py b/master/buildbot/changes/hgpoller.py index b0a7c1ee31ae..081d84dfaf04 100644 --- a/master/buildbot/changes/hgpoller.py +++ b/master/buildbot/changes/hgpoller.py @@ -48,7 +48,7 @@ def __init__(self, repourl, branch='default', pollInterval = pollinterval if name is None: - name = repourl + name = "%s[%s]" % (repourl, branch) self.repourl = repourl self.branch = branch diff --git a/master/buildbot/test/unit/test_changes_hgpoller.py b/master/buildbot/test/unit/test_changes_hgpoller.py index 75233e734d38..6713950f5f7a 100644 --- a/master/buildbot/test/unit/test_changes_hgpoller.py +++ b/master/buildbot/test/unit/test_changes_hgpoller.py @@ -35,6 +35,7 @@ def setUp(self): self.setUpGetProcessOutput() d = self.setUpChangeSource() self.remote_repo = 'ssh://example.com/foo/baz' + self.branch = 'default' self.repo_ready = True def _isRepositoryReady(): @@ -71,7 +72,7 @@ def test_describe(self): self.assertSubstring("HgPoller", self.poller.describe()) def test_name(self): - self.assertEqual(self.remote_repo, self.poller.name) + self.assertEqual("%s[%s]" % (self.remote_repo, self.branch), self.poller.name) # and one with explicit name... other = hgpoller.HgPoller(self.remote_repo, name="MyName", workdir='/some/dir')
fixed availabale typo
hpcaitech__ColossalAI-4864
[ { "content": "from torch.optim.lr_scheduler import _LRScheduler\n\n\nclass _enable_get_lr_call:\n def __init__(self, o):\n self.o = o\n\n def __enter__(self):\n self.o._get_lr_called_within_step = True\n return self\n\n def __exit__(self, type, value, traceback):\n self.o._get_lr_called_within_step = False\n\n\nclass DelayerScheduler(_LRScheduler):\n \"\"\"Starts with a flat lr schedule until it reaches N epochs then applies\n the specific scheduler (For example: ReduceLROnPlateau)\n\n Args:\n optimizer (:class:`torch.optim.Optimizer`): Wrapped optimizer.\n delay_epochs (int): Number of epochs to keep the initial lr until starting applying the scheduler.\n after_scheduler (:class:`torch.optim.lr_scheduler`): After target_epoch, use this scheduler.\n last_epoch (int, optional): The index of last epoch, defaults to -1. When last_epoch=-1,\n the schedule is started from the beginning or When last_epoch=-1, sets initial lr as lr.\n \"\"\"\n\n def __init__(self, optimizer, delay_epochs, after_scheduler, last_epoch=-1):\n if delay_epochs < 0:\n raise ValueError(f\"delay_epochs must >= 0, got {delay_epochs}\")\n self.delay_epochs = delay_epochs\n self.after_scheduler = after_scheduler\n self.finished = False\n super().__init__(optimizer, last_epoch)\n\n def state_dict(self):\n state_dict = {key: value for key, value in self.__dict__.items() if key not in \"optimizer\"}\n if isinstance(state_dict[\"after_scheduler\"], _LRScheduler):\n state_dict[\"after_scheduler_type\"] = type(state_dict[\"after_scheduler\"]).__name__\n state_dict[\"after_scheduler_dict\"] = state_dict[\"after_scheduler\"].state_dict()\n del state_dict[\"after_scheduler\"]\n else:\n raise NotImplementedError()\n return state_dict\n\n def get_lr(self):\n if self.last_epoch >= self.delay_epochs:\n if not self.finished:\n self.after_scheduler.base_lrs = self.base_lrs\n self.finished = True\n with _enable_get_lr_call(self.after_scheduler):\n return self.after_scheduler.get_lr()\n\n return self.base_lrs\n\n def step(self, epoch=None):\n if self.finished:\n if epoch is None:\n self.after_scheduler.step(None)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n self.after_scheduler.step(epoch - self.delay_epochs)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n return super(DelayerScheduler, self).step(epoch)\n\n\nclass WarmupScheduler(_LRScheduler):\n \"\"\"Starts with a linear warmup lr schedule until it reaches N epochs then applies\n the specific scheduler (For example: ReduceLROnPlateau).\n\n Args:\n optimizer (:class:`torch.optim.Optimizer`): Wrapped optimizer.\n warmup_epochs (int): Number of epochs to linearly warmup lr until starting applying the scheduler.\n after_scheduler (:class:`torch.optim.lr_scheduler`): After target_epoch, use this scheduler.\n last_epoch (int, optional): The index of last epoch, defaults to -1. When last_epoch=-1,\n the schedule is started from the beginning or When last_epoch=-1, sets initial lr as lr.\n \"\"\"\n\n def __init__(self, optimizer, warmup_epochs, after_scheduler, last_epoch=-1):\n self.warmup_epochs = int(warmup_epochs)\n self.after_scheduler = after_scheduler\n self.finished = False\n super().__init__(optimizer, last_epoch)\n\n def state_dict(self):\n state_dict = {key: value for key, value in self.__dict__.items() if key not in \"optimizer\"}\n if isinstance(state_dict[\"after_scheduler\"], _LRScheduler):\n state_dict[\"after_scheduler_type\"] = type(state_dict[\"after_scheduler\"]).__name__\n state_dict[\"after_scheduler_dict\"] = state_dict[\"after_scheduler\"].state_dict()\n del state_dict[\"after_scheduler\"]\n else:\n raise NotImplementedError()\n return state_dict\n\n def get_lr(self):\n if self.last_epoch >= self.warmup_epochs:\n if not self.finished:\n self.after_scheduler.base_lrs = self.base_lrs\n self.finished = True\n return self.after_scheduler.get_lr()\n\n return [(self.last_epoch + 1) / self.warmup_epochs * lr for lr in self.base_lrs]\n\n def step(self, epoch=None):\n if self.finished:\n if epoch is None:\n self.after_scheduler.step(None)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n self.after_scheduler.step(epoch - self.warmup_epochs)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n return super().step(epoch)\n\n\nclass WarmupDelayerScheduler(_LRScheduler):\n \"\"\"Starts with a linear warmup lr schedule until it reaches N epochs and a flat lr schedule\n until it reaches M epochs then applies the specific scheduler (For example: ReduceLROnPlateau).\n\n Args:\n optimizer (:class:`torch.optim.Optimizer`): Wrapped optimizer.\n warmup_epochs (int): Number of epochs to linearly warmup lr until starting applying the scheduler.\n delay_epochs (int): Number of epochs to keep the initial lr until starting applying the scheduler.\n after_scheduler (:class:`torch.optim.lr_scheduler`): After target_epoch, use this scheduler.\n last_epoch (int, optional): The index of last epoch, defaults to -1. When last_epoch=-1,\n the schedule is started from the beginning or When last_epoch=-1, sets initial lr as lr.\n \"\"\"\n\n def __init__(self, optimizer, warmup_epochs, delay_epochs, after_scheduler, last_epoch=-1):\n if delay_epochs < 0:\n raise ValueError(f\"delay_epochs must >= 0, got {delay_epochs}\")\n if warmup_epochs < 0:\n raise ValueError(f\"warmup_epochs must >= 0, got {warmup_epochs}\")\n self.warmup_epochs = warmup_epochs\n self.delay_epochs = delay_epochs\n self.after_scheduler = after_scheduler\n self.finished = False\n super().__init__(optimizer, last_epoch)\n\n def state_dict(self):\n state_dict = {key: value for key, value in self.__dict__.items() if key not in \"optimizer\"}\n if isinstance(state_dict[\"after_scheduler\"], _LRScheduler):\n state_dict[\"after_scheduler_type\"] = type(state_dict[\"after_scheduler\"]).__name__\n state_dict[\"after_scheduler_dict\"] = state_dict[\"after_scheduler\"].state_dict()\n del state_dict[\"after_scheduler\"]\n else:\n raise NotImplementedError()\n return state_dict\n\n def get_lr(self):\n if self.last_epoch >= self.warmup_epochs + self.delay_epochs:\n if not self.finished:\n self.after_scheduler.base_lrs = self.base_lrs\n # reset lr to base_lr\n for group, base_lr in zip(self.optimizer.param_groups, self.base_lrs):\n group[\"lr\"] = base_lr\n self.finished = True\n with _enable_get_lr_call(self.after_scheduler):\n return self.after_scheduler.get_lr()\n elif self.last_epoch >= self.warmup_epochs:\n return self.base_lrs\n\n return [(self.last_epoch + 1) / self.warmup_epochs * lr for lr in self.base_lrs]\n\n def step(self, epoch=None):\n if self.finished:\n if epoch is None:\n self.after_scheduler.step(None)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n self.after_scheduler.step(epoch - self.warmup_epochs)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n return super().step(epoch)\n", "path": "colossalai/nn/lr_scheduler/delayed.py" } ]
[ { "content": "import torch\nfrom packaging.version import Version\n\nif Version(torch.__version__) >= Version(\"2.0.0\"):\n from torch.optim.lr_scheduler import LRScheduler as _LRScheduler\nelse:\n from torch.optim.lr_scheduler import _LRScheduler\n\n\nclass _enable_get_lr_call:\n def __init__(self, o):\n self.o = o\n\n def __enter__(self):\n self.o._get_lr_called_within_step = True\n return self\n\n def __exit__(self, type, value, traceback):\n self.o._get_lr_called_within_step = False\n\n\nclass DelayerScheduler(_LRScheduler):\n \"\"\"Starts with a flat lr schedule until it reaches N epochs then applies\n the specific scheduler (For example: ReduceLROnPlateau)\n\n Args:\n optimizer (:class:`torch.optim.Optimizer`): Wrapped optimizer.\n delay_epochs (int): Number of epochs to keep the initial lr until starting applying the scheduler.\n after_scheduler (:class:`torch.optim.lr_scheduler`): After target_epoch, use this scheduler.\n last_epoch (int, optional): The index of last epoch, defaults to -1. When last_epoch=-1,\n the schedule is started from the beginning or When last_epoch=-1, sets initial lr as lr.\n \"\"\"\n\n def __init__(self, optimizer, delay_epochs, after_scheduler, last_epoch=-1):\n if delay_epochs < 0:\n raise ValueError(f\"delay_epochs must >= 0, got {delay_epochs}\")\n self.delay_epochs = delay_epochs\n self.after_scheduler = after_scheduler\n self.finished = False\n super().__init__(optimizer, last_epoch)\n\n def state_dict(self):\n state_dict = {key: value for key, value in self.__dict__.items() if key not in \"optimizer\"}\n if isinstance(state_dict[\"after_scheduler\"], _LRScheduler):\n state_dict[\"after_scheduler_type\"] = type(state_dict[\"after_scheduler\"]).__name__\n state_dict[\"after_scheduler_dict\"] = state_dict[\"after_scheduler\"].state_dict()\n del state_dict[\"after_scheduler\"]\n else:\n raise NotImplementedError()\n return state_dict\n\n def get_lr(self):\n if self.last_epoch >= self.delay_epochs:\n if not self.finished:\n self.after_scheduler.base_lrs = self.base_lrs\n self.finished = True\n with _enable_get_lr_call(self.after_scheduler):\n return self.after_scheduler.get_lr()\n\n return self.base_lrs\n\n def step(self, epoch=None):\n if self.finished:\n if epoch is None:\n self.after_scheduler.step(None)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n self.after_scheduler.step(epoch - self.delay_epochs)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n return super(DelayerScheduler, self).step(epoch)\n\n\nclass WarmupScheduler(_LRScheduler):\n \"\"\"Starts with a linear warmup lr schedule until it reaches N epochs then applies\n the specific scheduler (For example: ReduceLROnPlateau).\n\n Args:\n optimizer (:class:`torch.optim.Optimizer`): Wrapped optimizer.\n warmup_epochs (int): Number of epochs to linearly warmup lr until starting applying the scheduler.\n after_scheduler (:class:`torch.optim.lr_scheduler`): After target_epoch, use this scheduler.\n last_epoch (int, optional): The index of last epoch, defaults to -1. When last_epoch=-1,\n the schedule is started from the beginning or When last_epoch=-1, sets initial lr as lr.\n \"\"\"\n\n def __init__(self, optimizer, warmup_epochs, after_scheduler, last_epoch=-1):\n self.warmup_epochs = int(warmup_epochs)\n self.after_scheduler = after_scheduler\n self.finished = False\n super().__init__(optimizer, last_epoch)\n\n def state_dict(self):\n state_dict = {key: value for key, value in self.__dict__.items() if key not in \"optimizer\"}\n if isinstance(state_dict[\"after_scheduler\"], _LRScheduler):\n state_dict[\"after_scheduler_type\"] = type(state_dict[\"after_scheduler\"]).__name__\n state_dict[\"after_scheduler_dict\"] = state_dict[\"after_scheduler\"].state_dict()\n del state_dict[\"after_scheduler\"]\n else:\n raise NotImplementedError()\n return state_dict\n\n def get_lr(self):\n if self.last_epoch >= self.warmup_epochs:\n if not self.finished:\n self.after_scheduler.base_lrs = self.base_lrs\n self.finished = True\n return self.after_scheduler.get_lr()\n\n return [(self.last_epoch + 1) / self.warmup_epochs * lr for lr in self.base_lrs]\n\n def step(self, epoch=None):\n if self.finished:\n if epoch is None:\n self.after_scheduler.step(None)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n self.after_scheduler.step(epoch - self.warmup_epochs)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n return super().step(epoch)\n\n\nclass WarmupDelayerScheduler(_LRScheduler):\n \"\"\"Starts with a linear warmup lr schedule until it reaches N epochs and a flat lr schedule\n until it reaches M epochs then applies the specific scheduler (For example: ReduceLROnPlateau).\n\n Args:\n optimizer (:class:`torch.optim.Optimizer`): Wrapped optimizer.\n warmup_epochs (int): Number of epochs to linearly warmup lr until starting applying the scheduler.\n delay_epochs (int): Number of epochs to keep the initial lr until starting applying the scheduler.\n after_scheduler (:class:`torch.optim.lr_scheduler`): After target_epoch, use this scheduler.\n last_epoch (int, optional): The index of last epoch, defaults to -1. When last_epoch=-1,\n the schedule is started from the beginning or When last_epoch=-1, sets initial lr as lr.\n \"\"\"\n\n def __init__(self, optimizer, warmup_epochs, delay_epochs, after_scheduler, last_epoch=-1):\n if delay_epochs < 0:\n raise ValueError(f\"delay_epochs must >= 0, got {delay_epochs}\")\n if warmup_epochs < 0:\n raise ValueError(f\"warmup_epochs must >= 0, got {warmup_epochs}\")\n self.warmup_epochs = warmup_epochs\n self.delay_epochs = delay_epochs\n self.after_scheduler = after_scheduler\n self.finished = False\n super().__init__(optimizer, last_epoch)\n\n def state_dict(self):\n state_dict = {key: value for key, value in self.__dict__.items() if key not in \"optimizer\"}\n if isinstance(state_dict[\"after_scheduler\"], _LRScheduler):\n state_dict[\"after_scheduler_type\"] = type(state_dict[\"after_scheduler\"]).__name__\n state_dict[\"after_scheduler_dict\"] = state_dict[\"after_scheduler\"].state_dict()\n del state_dict[\"after_scheduler\"]\n else:\n raise NotImplementedError()\n return state_dict\n\n def get_lr(self):\n if self.last_epoch >= self.warmup_epochs + self.delay_epochs:\n if not self.finished:\n self.after_scheduler.base_lrs = self.base_lrs\n # reset lr to base_lr\n for group, base_lr in zip(self.optimizer.param_groups, self.base_lrs):\n group[\"lr\"] = base_lr\n self.finished = True\n with _enable_get_lr_call(self.after_scheduler):\n return self.after_scheduler.get_lr()\n elif self.last_epoch >= self.warmup_epochs:\n return self.base_lrs\n\n return [(self.last_epoch + 1) / self.warmup_epochs * lr for lr in self.base_lrs]\n\n def step(self, epoch=None):\n if self.finished:\n if epoch is None:\n self.after_scheduler.step(None)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n self.after_scheduler.step(epoch - self.warmup_epochs)\n self._last_lr = self.after_scheduler.get_last_lr()\n else:\n return super().step(epoch)\n", "path": "colossalai/nn/lr_scheduler/delayed.py" } ]
diff --git a/colossalai/nn/lr_scheduler/delayed.py b/colossalai/nn/lr_scheduler/delayed.py index ce7f126d6101..9d1d8f01dd2d 100644 --- a/colossalai/nn/lr_scheduler/delayed.py +++ b/colossalai/nn/lr_scheduler/delayed.py @@ -1,4 +1,10 @@ -from torch.optim.lr_scheduler import _LRScheduler +import torch +from packaging.version import Version + +if Version(torch.__version__) >= Version("2.0.0"): + from torch.optim.lr_scheduler import LRScheduler as _LRScheduler +else: + from torch.optim.lr_scheduler import _LRScheduler class _enable_get_lr_call: diff --git a/tests/test_checkpoint_io/test_general_checkpoint_io.py b/tests/test_checkpoint_io/test_general_checkpoint_io.py index 2a046a298dd7..8431036df6b7 100644 --- a/tests/test_checkpoint_io/test_general_checkpoint_io.py +++ b/tests/test_checkpoint_io/test_general_checkpoint_io.py @@ -6,6 +6,7 @@ from torchvision.models import resnet18 from colossalai.checkpoint_io import GeneralCheckpointIO +from colossalai.nn.lr_scheduler import CosineAnnealingWarmupLR from colossalai.testing import check_state_dict_equal, clear_cache_before_run, parameterize # ======== @@ -22,6 +23,7 @@ def test_unsharded_checkpoint(use_safetensors: bool): # create a model and optimizer model = resnet18() optimizer = Adam(model.parameters(), lr=0.001) + lr_scheduler = CosineAnnealingWarmupLR(optimizer, total_steps=10) # create test data sample x = torch.randn(1, 3, 224, 224) @@ -31,6 +33,7 @@ def test_unsharded_checkpoint(use_safetensors: bool): loss = y.sum() loss.backward() optimizer.step() + lr_scheduler.step() # create a temp file for checkpoint if use_safetensors: @@ -39,19 +42,23 @@ def test_unsharded_checkpoint(use_safetensors: bool): suffix = ".bin" model_ckpt_tempfile = tempfile.NamedTemporaryFile(suffix=suffix) optimizer_ckpt_tempfile = tempfile.NamedTemporaryFile() + lr_scheduler_ckpt_tempfile = tempfile.NamedTemporaryFile() - # save the model and optimizer + # save the model, optimizer, lr_scheduler ckpt_io = GeneralCheckpointIO() ckpt_io.save_model(model, model_ckpt_tempfile.name, use_safetensors=use_safetensors) ckpt_io.save_optimizer(optimizer, optimizer_ckpt_tempfile.name) + ckpt_io.save_lr_scheduler(lr_scheduler, lr_scheduler_ckpt_tempfile.name) # create new model new_model = resnet18() new_optimizer = Adam(new_model.parameters(), lr=0.001) + new_lr_scheduler = CosineAnnealingWarmupLR(optimizer, total_steps=10) - # load the model and optimizer + # load the model, optimizer, lr_scheduler ckpt_io.load_model(new_model, model_ckpt_tempfile.name) ckpt_io.load_optimizer(new_optimizer, optimizer_ckpt_tempfile.name) + ckpt_io.load_lr_scheduler(new_lr_scheduler, lr_scheduler_ckpt_tempfile.name) # check for model and optimizer state dict recursively check_state_dict_equal(model.state_dict(), new_model.state_dict()) diff --git a/tests/test_zero/test_gemini/test_zerooptim_state_dict.py b/tests/test_zero/test_gemini/test_zerooptim_state_dict.py index 8aa656b74cf9..c65c6d292467 100644 --- a/tests/test_zero/test_gemini/test_zerooptim_state_dict.py +++ b/tests/test_zero/test_gemini/test_zerooptim_state_dict.py @@ -72,6 +72,7 @@ def run_dist(rank, world_size, port): exam_zero_optim_state_dict() [email protected] @pytest.mark.dist @pytest.mark.parametrize("world_size", [1, 4]) @rerun_if_address_is_in_use()
[BUG]: colossalai 0.3.3 + torch 2.0.1 + baichuan-2 7b 训练保存 lr_scheduler 时会报 NotImplementedError 错 ### 🐛 Describe the bug 用 colossalai 0.3.3 + torch 2.0.1 + baichuan-2 7b 训练保存 lr_scheduler 时 colossalai/nn/lr_scheduler/delayed.py 会报 NotImplementedError 错。 In [25]: lr_scheduler Out[25]: <[colossalai.nn.lr](http://colossalai.nn.lr/)_scheduler.cosine.CosineAnnealingWarmupLR at 0x7f01cd616e00> In [26]: booster.save_lr_scheduler(lr_scheduler, "/data/checkpoint/lr_scheduler") ``` in <module>:1 python3.10/site-packages/colossalai/booster/booster.py:308 in save_lr_scheduler 305 lr_scheduler (LRScheduler): A lr scheduler boosted by Booster. 306 checkpoint (str): Path to the checkpoint. It must be a local file path. 307 """ ❱ 308 self.checkpoint_io.save_lr_scheduler(lr_scheduler, checkpoint) 309 310 def load_lr_scheduler(self, lr_scheduler: LRScheduler, checkpoint: str) -> None: 311 """Load lr scheduler from checkpoint. python3.10/site-packages/colossalai/booster/plugin/gemini_plugin.py:225 in save_lr_scheduler 222 Save model to checkpoint but only on master process. 223 """ 224 if self.coordinator.is_master(): ❱ 225 super().save_lr_scheduler(lr_scheduler, checkpoint) 226 227 228 class GeminiPlugin(DPPluginBase): python3.10/site-packages/colossalai/checkpoint_io/checkpoint_io_base.py: 318 in save_lr_scheduler 315 lr_scheduler (LRScheduler): lr scheduler to be saved. 316 checkpoint: checkpoint path. The checkpoint path can only be a file path. 317 """ ❱ 318 torch.save(lr_scheduler.state_dict(), checkpoint) 319 320 def load_lr_scheduler(self, lr_scheduler: LRScheduler, checkpoint: str): 321 """ python3.10/site-packages/colossalai/nn/lr_scheduler/delayed.py:93 in state_dict 90 state_dict["after_scheduler_dict"] = state_dict["after_scheduler"].state_dic 91 del state_dict["after_scheduler"] 92 else: ❱ 93 raise NotImplementedError() 94 return state_dict 95 96 def get_lr(self): ``` 进一步分析 lr_scheduler 里的信息 ``` state_dict = {key: value for key, value in lr_scheduler.__dict__.items() if key not in "optimizer"} # => { 'warmup_epochs': 2000, 'after_scheduler': <torch.optim.lr_scheduler.CosineAnnealingLR at 0x7f01cd6173a0>, 'finished': False, 'base_lrs': [0.0003], 'last_epoch': 1, 'verbose': False, '_step_count': 2, '_get_lr_called_within_step': False, '_last_lr': [3e-07] } ``` - 其中 after_scheduler 是 torch.optim.lr_scheduler.CosineAnnealingLR 的实例，而 torch.optim.lr_scheduler.CosineAnnealingLR 是继承的 LRScheduler，那么 after_scheduler 的父类是 LRScheduler - _LRScheduler 是继承了 LRScheduler - 而在 [save lr scheduler 时（delayed.py) 中](https://github.com/hpcaitech/ColossalAI/blob/822051d8884a46d4d8626330e21adfd6427c99a0/colossalai/nn/lr_scheduler/delayed.py#L88)，是 `isinstance(state_dict['after_scheduler'], _LRScheduler)` ``` from torch.optim.lr_scheduler import _LRScheduler, LRScheduler isinstance(state_dict['after_scheduler'], LRScheduler) # => True isinstance(state_dict['after_scheduler'], _LRScheduler) # => False ``` **那这样，是否说明 应该用 `LRScheduler` 而不是 `_LRScheduler` 呢？** 注：baichuan-2 依赖 torch 2.0+，不能降到 2.0 以下（用 1.13 会报 TypeError: sdp_kernel() got an unexpected keyword argument 'enable_mem_efficient'） ### Environment - colossalai 0.3.3 - torch 2.0.1 - baichuan-2 7b [tensor] fix some unittests [tensor] fix some unittests
oppia__oppia-11024
[ { "content": "# coding: utf-8\n#\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS-IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"Pre-commit script for Oppia.\n\nThis script lints Python and JavaScript code, and prints a\nlist of lint errors to the terminal. If the directory path is passed,\nit will lint all Python and JavaScript files in that directory; otherwise,\nit will only lint files that have been touched in this commit.\n\nThis script ignores all filepaths contained within .eslintignore.\n\n=====================\nCUSTOMIZATION OPTIONS\n=====================\n1. To lint only files that have been touched in this commit\n python -m scripts.linters.pre_commit_linter\n\n2. To lint all files in the folder or to lint just a specific file\n python -m scripts.linters.pre_commit_linter --path filepath\n\n3. To lint a specific list of files. Separate filepaths by spaces\n python -m scripts.linters.pre_commit_linter\n --files filepath_1 filepath_2 ... filepath_n\n\n4. To lint files in verbose mode\n python -m scripts.linters.pre_commit_linter --verbose\n\n5. To lint a specific list of file extensions. Separate file\n extensions by spaces\n python -m scripts.linters.pre_commit_linter\n --only-check-file-extensions py js\n\nNote that the root folder MUST be named 'oppia'.\n \"\"\"\n\nfrom __future__ import absolute_import # pylint: disable=import-only-modules\nfrom __future__ import unicode_literals # pylint: disable=import-only-modules\n\nimport argparse\nimport fnmatch\nimport multiprocessing\nimport os\nimport re\nimport subprocess\nimport sys\nimport threading\n\nimport python_utils\n\n# Install third party dependencies before proceeding.\nfrom . import codeowner_linter\nfrom . import css_linter\nfrom . import general_purpose_linter\nfrom . import html_linter\nfrom . import js_ts_linter\nfrom . import linter_utils\nfrom . import other_files_linter\nfrom . import python_linter\nfrom .. import common\nfrom .. import concurrent_task_utils\nfrom .. import install_third_party_libs\n\n_PARSER = argparse.ArgumentParser()\n_EXCLUSIVE_GROUP = _PARSER.add_mutually_exclusive_group()\n_PARSER.add_argument(\n '--path',\n help='path to the directory with files to be linted',\n action='store')\n_EXCLUSIVE_GROUP.add_argument(\n '--files',\n nargs='+',\n help='specific files to be linted. Space separated list',\n action='store')\n_EXCLUSIVE_GROUP.add_argument(\n '--verbose',\n help='verbose mode. All details will be printed.',\n action='store_true')\n_PARSER.add_argument(\n '--only-check-file-extensions',\n nargs='+',\n choices=['html', 'css', 'js', 'ts', 'py', 'other'],\n help='specific file extensions to be linted. Space separated list. '\n 'If either of js or ts used then both js and ts files will be linted.',\n action='store')\n\n_PARENT_DIR = os.path.abspath(os.path.join(os.getcwd(), os.pardir))\n\n_PATHS_TO_INSERT = [\n os.getcwd(),\n os.path.join(\n common.GOOGLE_APP_ENGINE_SDK_HOME, 'lib', 'yaml-3.10'),\n os.path.join(\n common.GOOGLE_APP_ENGINE_SDK_HOME, 'lib', 'jinja2-2.6'),\n os.path.join(\n common.GOOGLE_APP_ENGINE_SDK_HOME),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'webtest-%s' % common.WEBTEST_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'PyGithub-%s' % common.PYGITHUB_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools',\n 'setuptools-%s' % common.SETUPTOOLS_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'Pillow-%s' % common.PILLOW_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'psutil-%s' % common.PSUTIL_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'pip-tools-%s' % common.PIP_TOOLS_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools',\n 'simple-crypt-%s' % common.SIMPLE_CRYPT_VERSION),\n common.THIRD_PARTY_PYTHON_LIBS_DIR\n]\n\nfor path in _PATHS_TO_INSERT:\n sys.path.insert(0, path)\n\n_TARGET_STDOUT = python_utils.string_io()\n_STDOUT_LIST = multiprocessing.Manager().list()\n_FILES = multiprocessing.Manager().dict()\n\n\nclass FileCache(python_utils.OBJECT):\n \"\"\"Provides thread-safe access to cached file content.\"\"\"\n\n def __init__(self):\n self._CACHE_DATA_DICT = {}\n\n def read(self, filepath, mode='r'):\n \"\"\"Returns the data read from the file in unicode form.\n\n Args:\n filepath: str. The file path from which data is to be read.\n mode: str. The mode in which the file is to be opened.\n\n Returns:\n str. The data read from the file.\n \"\"\"\n return self._get_data(filepath, mode)[0]\n\n def readlines(self, filepath, mode='r'):\n \"\"\"Returns the tuple containing data line by line as read from the\n file in unicode form.\n\n Args:\n filepath: str. The file path from which data is to be read.\n mode: str. The mode in which the file is to be opened.\n\n Returns:\n tuple(str). The tuple containing data line by line as read from the\n file.\n \"\"\"\n return self._get_data(filepath, mode)[1]\n\n def _get_data(self, filepath, mode):\n \"\"\"Returns the collected data from the file corresponding to the given\n filepath.\n\n Args:\n filepath: str. The file path from which data is to be read.\n mode: str. The mode in which the file is to be opened.\n\n Returns:\n tuple(str, tuple(str)). The tuple containing data read from the file\n as first element and tuple containing the text line by line as\n second element.\n \"\"\"\n key = (filepath, mode)\n if key not in self._CACHE_DATA_DICT:\n with python_utils.open_file(filepath, mode, newline='') as f:\n lines = f.readlines()\n self._CACHE_DATA_DICT[key] = (''.join(lines), tuple(lines))\n return self._CACHE_DATA_DICT[key]\n\n\ndef _get_linters_for_file_extension(file_extension_to_lint):\n \"\"\"Return linters for the file extension type.\n\n Args:\n file_extension_to_lint: str. The file extension to be linted.\n\n Returns:\n (CustomLintChecks, ThirdPartyLintChecks). A 2-tuple containing objects\n of lint check classes to run in parallel processing.\n \"\"\"\n parent_dir = os.path.abspath(os.path.join(os.getcwd(), os.pardir))\n custom_linters = []\n third_party_linters = []\n\n file_extension_type_js_ts = file_extension_to_lint == 'js' or (\n file_extension_to_lint == 'ts')\n\n if file_extension_type_js_ts:\n general_files_to_lint = _FILES['.js'] + _FILES['.ts']\n elif file_extension_to_lint == 'other':\n general_files_to_lint = _FILES['other']\n else:\n general_files_to_lint = _FILES['.%s' % file_extension_to_lint]\n\n custom_linter, third_party_linter = general_purpose_linter.get_linters(\n general_files_to_lint, FILE_CACHE)\n custom_linters.append(custom_linter)\n\n if file_extension_type_js_ts:\n custom_linter, third_party_linter = js_ts_linter.get_linters(\n _FILES['.js'], _FILES['.ts'], FILE_CACHE)\n custom_linters.append(custom_linter)\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'html':\n custom_linter, third_party_linter = html_linter.get_linters(\n _FILES['.html'], FILE_CACHE)\n custom_linters.append(custom_linter)\n third_party_linters.append(third_party_linter)\n\n config_path_for_css_in_html = os.path.join(\n parent_dir, 'oppia', '.stylelintrc')\n custom_linter, third_party_linter = css_linter.get_linters(\n config_path_for_css_in_html, _FILES['.html'])\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'css':\n config_path_for_oppia_css = os.path.join(\n parent_dir, 'oppia', 'core', 'templates', 'css', '.stylelintrc')\n custom_linter, third_party_linter = css_linter.get_linters(\n config_path_for_oppia_css, _FILES['.css'])\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'py':\n custom_linter, third_party_linter = python_linter.get_linters(\n _FILES['.py'], FILE_CACHE)\n custom_linters.append(custom_linter)\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'other':\n custom_linter, _ = codeowner_linter.get_linters(FILE_CACHE)\n custom_linters.append(custom_linter)\n\n custom_linter, _ = other_files_linter.get_linters(FILE_CACHE)\n custom_linters.append(custom_linter)\n\n return custom_linters, third_party_linters\n\n\ndef _get_changed_filepaths():\n \"\"\"Returns a list of modified files (both staged and unstaged)\n\n Returns:\n list. A list of filepaths of modified files.\n \"\"\"\n unstaged_files = subprocess.check_output([\n 'git', 'diff', '--name-only',\n '--diff-filter=ACM']).splitlines()\n staged_files = subprocess.check_output([\n 'git', 'diff', '--cached', '--name-only',\n '--diff-filter=ACM']).splitlines()\n all_changed_filepaths = unstaged_files + staged_files\n return [filepath for filepath in all_changed_filepaths]\n\n\ndef _get_all_files_in_directory(dir_path, excluded_glob_patterns):\n \"\"\"Recursively collects all files in directory and\n subdirectories of specified path.\n\n Args:\n dir_path: str. Path to the folder to be linted.\n excluded_glob_patterns: set(str). Set of all glob patterns\n to be excluded.\n\n Returns:\n list. A list of files in directory and subdirectories without excluded\n files.\n \"\"\"\n files_in_directory = []\n for _dir, _, files in os.walk(dir_path):\n for file_name in files:\n filepath = os.path.relpath(\n os.path.join(_dir, file_name), os.getcwd())\n if not any([\n fnmatch.fnmatch(filepath, gp) for gp in\n excluded_glob_patterns]):\n files_in_directory.append(filepath)\n return files_in_directory\n\n\ndef _get_file_extensions(file_extensions_to_lint):\n \"\"\"This function is used to return the file extensions which need to be\n linted and checked.\n\n Args:\n file_extensions_to_lint: list(str). The list of file extensions to be\n linted and checked.\n\n Returns:\n list(str). The list of all file extensions\n to be linted and checked.\n \"\"\"\n all_file_extensions_type = ['js', 'py', 'html', 'css', 'other']\n\n if file_extensions_to_lint:\n # Check if 'js' and 'ts' both are present in file_extensions_to_lint.\n js_and_ts_is_present = 'js' in file_extensions_to_lint and (\n 'ts' in file_extensions_to_lint)\n\n if js_and_ts_is_present:\n python_utils.PRINT(\n 'Please use only one of \"js\" or \"ts\", as we do not have '\n 'separate linters for JS and TS files. If both these options '\n 'are used together, then the JS/TS linter will be run twice.')\n python_utils.PRINT('Exiting...')\n sys.exit(1)\n\n return set(file_extensions_to_lint)\n\n return all_file_extensions_type\n\n\ndef _get_all_filepaths(input_path, input_filenames):\n \"\"\"This function is used to return the filepaths which needs to be linted\n and checked.\n\n Args:\n input_path: str. The path of the directory to be linted and checked.\n input_filenames: list(str). The list of filenames to be linted and\n checked, ignored if input_path is specified.\n\n Returns:\n list(str). The list of filepaths to be linted and checked.\n \"\"\"\n eslintignore_path = os.path.join(os.getcwd(), '.eslintignore')\n if input_path:\n input_path = os.path.join(os.getcwd(), input_path)\n if not os.path.exists(input_path):\n python_utils.PRINT(\n 'Could not locate file or directory %s. Exiting.' % input_path)\n python_utils.PRINT('----------------------------------------')\n sys.exit(1)\n if os.path.isfile(input_path):\n all_filepaths = [input_path]\n else:\n excluded_glob_patterns = FILE_CACHE.readlines(eslintignore_path)\n all_filepaths = _get_all_files_in_directory(\n input_path, excluded_glob_patterns)\n elif input_filenames:\n valid_filepaths = []\n invalid_filepaths = []\n for filename in input_filenames:\n if os.path.isfile(filename):\n valid_filepaths.append(filename)\n else:\n invalid_filepaths.append(filename)\n if invalid_filepaths:\n python_utils.PRINT(\n 'The following file(s) do not exist: %s\\n'\n 'Exiting.' % invalid_filepaths)\n sys.exit(1)\n all_filepaths = valid_filepaths\n else:\n all_filepaths = _get_changed_filepaths()\n all_filepaths = [\n filename for filename in all_filepaths if not\n any(fnmatch.fnmatch(filename, pattern) for pattern in(\n general_purpose_linter.EXCLUDED_PATHS))]\n return all_filepaths\n\n\ndef read_files(file_paths):\n \"\"\"Read all files to be checked and cache them. This will spin off multiple\n threads to increase the efficiency.\n \"\"\"\n threads = []\n for file_path in file_paths:\n thread = threading.Thread(target=FILE_CACHE.read, args=(file_path,))\n thread.start()\n threads.append(thread)\n\n for thread in threads:\n thread.join()\n\n\ndef categorize_files(file_paths):\n \"\"\"Categorize all the files and store them in shared variable _FILES.\"\"\"\n all_filepaths_dict = {\n '.py': [], '.html': [], '.ts': [], '.js': [], 'other': [], '.css': []\n }\n for file_path in file_paths:\n _, extension = os.path.splitext(file_path)\n if extension in all_filepaths_dict:\n all_filepaths_dict[extension].append(file_path)\n else:\n all_filepaths_dict['other'].append(file_path)\n _FILES.update(all_filepaths_dict)\n\n\ndef _print_summary_of_error_messages(lint_messages):\n \"\"\"Print summary of linter error messages.\n\n Args:\n lint_messages: list(str). List of linter error messages.\n \"\"\"\n if lint_messages != '':\n error_message_lines = [\n '----------------------------------------',\n 'Please fix the errors below:',\n '----------------------------------------',\n ] + lint_messages\n linter_utils.print_failure_message('\\n'.join(error_message_lines))\n\n\ndef _get_task_output(lint_messages, failed, task):\n \"\"\"Returns output of running tasks.\n\n Args:\n lint_messages: list(str). List of summary messages of linter output.\n failed: bool. The boolean to check if lint checks fail or not.\n task: object(TestingTaskSpec). The task object to get output of linter.\n\n Returns:\n bool. The boolean to check if the lint checks fail or not.\n \"\"\"\n if task.task_results:\n for task_result in task.task_results:\n lint_messages += task_result.trimmed_messages\n if task_result.failed:\n failed = True\n return failed\n\n\ndef _print_errors_stacktrace(errors_stacktrace):\n \"\"\"Print errors stacktrace caught during linter execution.\n\n Args:\n errors_stacktrace: list(str). List of error stacktrace of lint\n execution failure.\n \"\"\"\n python_utils.PRINT('')\n python_utils.PRINT(\n 'Unable to run the complete lint test, please check '\n 'the following stack trace and fix the errors:')\n python_utils.PRINT('+--------------------------+')\n for stacktrace in errors_stacktrace:\n python_utils.PRINT(stacktrace)\n python_utils.PRINT('--------------------------------------------------')\n python_utils.PRINT('')\n python_utils.PRINT('--------------------------------------------------')\n python_utils.PRINT(\n 'Some of the linting functions may not run until the'\n ' above errors gets fixed')\n\n\ndef _get_space_separated_linter_name(linter_name):\n \"\"\"Returns the space separated name of the linter class.\n\n Args:\n linter_name: str. Name of the linter class.\n\n Returns:\n str. Space separated name of the linter class.\n \"\"\"\n return re.sub(\n r'((?<=[a-z])[A-Z]|(?<!\\A)[A-Z](?=[a-z]))',\n r' \\1', linter_name)\n\n\ndef main(args=None):\n \"\"\"Main method for pre commit linter script that lints Python, JavaScript,\n HTML, and CSS files.\n \"\"\"\n parsed_args = _PARSER.parse_args(args=args)\n # File extension to be linted.\n file_extension_types = _get_file_extensions(\n parsed_args.only_check_file_extensions)\n # Default mode is non-verbose mode, if arguments contains --verbose flag it\n # will be made True, which will represent verbose mode.\n verbose_mode_enabled = bool(parsed_args.verbose)\n all_filepaths = _get_all_filepaths(parsed_args.path, parsed_args.files)\n\n install_third_party_libs.main()\n common.fix_third_party_imports()\n\n python_utils.PRINT('Starting Linter....')\n\n if len(all_filepaths) == 0:\n python_utils.PRINT('---------------------------')\n python_utils.PRINT('No files to check.')\n python_utils.PRINT('---------------------------')\n return\n\n read_files(all_filepaths)\n categorize_files(all_filepaths)\n\n # Prepare custom tasks.\n custom_max_concurrent_runs = 25\n custom_concurrent_count = min(\n multiprocessing.cpu_count(), custom_max_concurrent_runs)\n custom_semaphore = threading.Semaphore(custom_concurrent_count)\n\n # Prepare third_party tasks.\n third_party_max_concurrent_runs = 2\n third_party_concurrent_count = min(\n multiprocessing.cpu_count(), third_party_max_concurrent_runs)\n third_party_semaphore = threading.Semaphore(third_party_concurrent_count)\n\n custom_linters = []\n third_party_linters = []\n for file_extension_type in file_extension_types:\n if (file_extension_type == 'js' or file_extension_type == 'ts'):\n if len(_FILES['.js'] + _FILES['.ts']) == 0:\n continue\n elif (not file_extension_type == 'other' and not\n len(_FILES['.%s' % file_extension_type])):\n continue\n custom_linter, third_party_linter = _get_linters_for_file_extension(\n file_extension_type)\n custom_linters += custom_linter\n third_party_linters += third_party_linter\n\n # Create tasks.\n tasks_custom = []\n tasks_third_party = []\n\n for linter in custom_linters:\n name = _get_space_separated_linter_name(type(linter).__name__)\n task_custom = concurrent_task_utils.create_task(\n linter.perform_all_lint_checks, verbose_mode_enabled,\n custom_semaphore, name=name)\n tasks_custom.append(task_custom)\n\n for linter in third_party_linters:\n name = _get_space_separated_linter_name(type(linter).__name__)\n task_third_party = concurrent_task_utils.create_task(\n linter.perform_all_lint_checks, verbose_mode_enabled,\n third_party_semaphore, name=name)\n tasks_third_party.append(task_third_party)\n\n # Execute tasks.\n # Here we set Concurrency limit for custom task to 25 because we need to\n # parallelize the tasks to work on full capacity of CPU.\n # Concurrency limit for third party tasks is set to 2 because these\n # third party libraries have their own ways to lint at their fastest\n # (ie. might parallelize on their own)\n\n # Concurrency limit: 25.\n concurrent_task_utils.execute_tasks(tasks_custom, custom_semaphore)\n\n # Concurrency limit: 2.\n concurrent_task_utils.execute_tasks(\n tasks_third_party, third_party_semaphore)\n\n lint_messages = []\n failed = False\n\n for task in tasks_custom:\n failed = _get_task_output(lint_messages, failed, task)\n\n for task in tasks_third_party:\n failed = _get_task_output(lint_messages, failed, task)\n\n errors_stacktrace = concurrent_task_utils.ALL_ERRORS\n if errors_stacktrace:\n _print_errors_stacktrace(errors_stacktrace)\n\n if failed:\n _print_summary_of_error_messages(lint_messages)\n linter_utils.print_failure_message('\\n'.join([\n '---------------------------',\n 'Checks Not Passed.',\n '---------------------------']))\n sys.exit(1)\n else:\n linter_utils.print_success_message('\\n'.join([\n '---------------------------',\n 'All Checks Passed.',\n '---------------------------']))\n\n\nNAME_SPACE = multiprocessing.Manager().Namespace()\nPROCESSES = multiprocessing.Manager().dict()\nNAME_SPACE.files = FileCache()\nFILE_CACHE = NAME_SPACE.files\n\n\n# The 'no coverage' pragma is used as this line is un-testable. This is because\n# it will only be called when pre_commit_linter.py is used as a\n# script.\nif __name__ == '__main__': # pragma: no cover\n main()\n", "path": "scripts/linters/pre_commit_linter.py" } ]
[ { "content": "# coding: utf-8\n#\n# Copyright 2014 The Oppia Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS-IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"Pre-commit script for Oppia.\n\nThis script lints Python and JavaScript code, and prints a\nlist of lint errors to the terminal. If the directory path is passed,\nit will lint all Python and JavaScript files in that directory; otherwise,\nit will only lint files that have been touched in this commit.\n\nThis script ignores all filepaths contained within .eslintignore.\n\n=====================\nCUSTOMIZATION OPTIONS\n=====================\n1. To lint only files that have been touched in this commit\n python -m scripts.linters.pre_commit_linter\n\n2. To lint all files in the folder or to lint just a specific file\n python -m scripts.linters.pre_commit_linter --path filepath\n\n3. To lint a specific list of files. Separate filepaths by spaces\n python -m scripts.linters.pre_commit_linter\n --files filepath_1 filepath_2 ... filepath_n\n\n4. To lint files in verbose mode\n python -m scripts.linters.pre_commit_linter --verbose\n\n5. To lint a specific list of file extensions. Separate file\n extensions by spaces\n python -m scripts.linters.pre_commit_linter\n --only-check-file-extensions py js\n\nNote that the root folder MUST be named 'oppia'.\n \"\"\"\n\nfrom __future__ import absolute_import # pylint: disable=import-only-modules\nfrom __future__ import unicode_literals # pylint: disable=import-only-modules\n\nimport argparse\nimport fnmatch\nimport multiprocessing\nimport os\nimport re\nimport subprocess\nimport sys\nimport threading\n\nimport python_utils\n\n# Install third party dependencies before proceeding.\nfrom . import codeowner_linter\nfrom . import css_linter\nfrom . import general_purpose_linter\nfrom . import html_linter\nfrom . import js_ts_linter\nfrom . import linter_utils\nfrom . import other_files_linter\nfrom . import python_linter\nfrom .. import common\nfrom .. import concurrent_task_utils\nfrom .. import install_third_party_libs\n\n_PARSER = argparse.ArgumentParser()\n_EXCLUSIVE_GROUP = _PARSER.add_mutually_exclusive_group()\n_PARSER.add_argument(\n '--path',\n help='path to the directory with files to be linted',\n action='store')\n_EXCLUSIVE_GROUP.add_argument(\n '--files',\n nargs='+',\n help='specific files to be linted. Space separated list',\n action='store')\n_EXCLUSIVE_GROUP.add_argument(\n '--verbose',\n help='verbose mode. All details will be printed.',\n action='store_true')\n_PARSER.add_argument(\n '--only-check-file-extensions',\n nargs='+',\n choices=['html', 'css', 'js', 'ts', 'py', 'other'],\n help='specific file extensions to be linted. Space separated list. '\n 'If either of js or ts used then both js and ts files will be linted.',\n action='store')\n\n_PARENT_DIR = os.path.abspath(os.path.join(os.getcwd(), os.pardir))\n\n_PATHS_TO_INSERT = [\n os.getcwd(),\n os.path.join(\n common.GOOGLE_APP_ENGINE_SDK_HOME, 'lib', 'yaml-3.10'),\n os.path.join(\n common.GOOGLE_APP_ENGINE_SDK_HOME, 'lib', 'jinja2-2.6'),\n os.path.join(\n common.GOOGLE_APP_ENGINE_SDK_HOME),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'webtest-%s' % common.WEBTEST_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'PyGithub-%s' % common.PYGITHUB_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools',\n 'setuptools-%s' % common.SETUPTOOLS_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'Pillow-%s' % common.PILLOW_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'psutil-%s' % common.PSUTIL_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools', 'pip-tools-%s' % common.PIP_TOOLS_VERSION),\n os.path.join(\n _PARENT_DIR, 'oppia_tools',\n 'simple-crypt-%s' % common.SIMPLE_CRYPT_VERSION),\n common.THIRD_PARTY_PYTHON_LIBS_DIR\n]\n\nfor path in _PATHS_TO_INSERT:\n sys.path.insert(0, path)\n\n_TARGET_STDOUT = python_utils.string_io()\n_STDOUT_LIST = multiprocessing.Manager().list()\n_FILES = multiprocessing.Manager().dict()\n\n\nclass FileCache(python_utils.OBJECT):\n \"\"\"Provides thread-safe access to cached file content.\"\"\"\n\n def __init__(self):\n self._CACHE_DATA_DICT = {}\n\n def read(self, filepath, mode='r'):\n \"\"\"Returns the data read from the file in unicode form.\n\n Args:\n filepath: str. The file path from which data is to be read.\n mode: str. The mode in which the file is to be opened.\n\n Returns:\n str. The data read from the file.\n \"\"\"\n return self._get_data(filepath, mode)[0]\n\n def readlines(self, filepath, mode='r'):\n \"\"\"Returns the tuple containing data line by line as read from the\n file in unicode form.\n\n Args:\n filepath: str. The file path from which data is to be read.\n mode: str. The mode in which the file is to be opened.\n\n Returns:\n tuple(str). The tuple containing data line by line as read from the\n file.\n \"\"\"\n return self._get_data(filepath, mode)[1]\n\n def _get_data(self, filepath, mode):\n \"\"\"Returns the collected data from the file corresponding to the given\n filepath.\n\n Args:\n filepath: str. The file path from which data is to be read.\n mode: str. The mode in which the file is to be opened.\n\n Returns:\n tuple(str, tuple(str)). The tuple containing data read from the file\n as first element and tuple containing the text line by line as\n second element.\n \"\"\"\n key = (filepath, mode)\n if key not in self._CACHE_DATA_DICT:\n with python_utils.open_file(filepath, mode, newline='') as f:\n lines = f.readlines()\n self._CACHE_DATA_DICT[key] = (''.join(lines), tuple(lines))\n return self._CACHE_DATA_DICT[key]\n\n\ndef _get_linters_for_file_extension(file_extension_to_lint):\n \"\"\"Return linters for the file extension type.\n\n Args:\n file_extension_to_lint: str. The file extension to be linted.\n\n Returns:\n (CustomLintChecks, ThirdPartyLintChecks). A 2-tuple containing objects\n of lint check classes to run in parallel processing.\n \"\"\"\n parent_dir = os.path.abspath(os.path.join(os.getcwd(), os.pardir))\n custom_linters = []\n third_party_linters = []\n\n file_extension_type_js_ts = file_extension_to_lint == 'js' or (\n file_extension_to_lint == 'ts')\n\n if file_extension_type_js_ts:\n general_files_to_lint = _FILES['.js'] + _FILES['.ts']\n elif file_extension_to_lint == 'other':\n general_files_to_lint = _FILES['other']\n else:\n general_files_to_lint = _FILES['.%s' % file_extension_to_lint]\n\n custom_linter, third_party_linter = general_purpose_linter.get_linters(\n general_files_to_lint, FILE_CACHE)\n custom_linters.append(custom_linter)\n\n if file_extension_type_js_ts:\n custom_linter, third_party_linter = js_ts_linter.get_linters(\n _FILES['.js'], _FILES['.ts'], FILE_CACHE)\n custom_linters.append(custom_linter)\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'html':\n custom_linter, third_party_linter = html_linter.get_linters(\n _FILES['.html'], FILE_CACHE)\n custom_linters.append(custom_linter)\n third_party_linters.append(third_party_linter)\n\n config_path_for_css_in_html = os.path.join(\n parent_dir, 'oppia', '.stylelintrc')\n custom_linter, third_party_linter = css_linter.get_linters(\n config_path_for_css_in_html, _FILES['.html'])\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'css':\n config_path_for_oppia_css = os.path.join(\n parent_dir, 'oppia', 'core', 'templates', 'css', '.stylelintrc')\n custom_linter, third_party_linter = css_linter.get_linters(\n config_path_for_oppia_css, _FILES['.css'])\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'py':\n custom_linter, third_party_linter = python_linter.get_linters(\n _FILES['.py'], FILE_CACHE)\n custom_linters.append(custom_linter)\n third_party_linters.append(third_party_linter)\n\n elif file_extension_to_lint == 'other':\n custom_linter, _ = codeowner_linter.get_linters(FILE_CACHE)\n custom_linters.append(custom_linter)\n\n custom_linter, _ = other_files_linter.get_linters(FILE_CACHE)\n custom_linters.append(custom_linter)\n\n return custom_linters, third_party_linters\n\n\ndef _get_changed_filepaths():\n \"\"\"Returns a list of modified files (both staged and unstaged)\n\n Returns:\n list. A list of filepaths of modified files.\n \"\"\"\n unstaged_files = subprocess.check_output([\n 'git', 'diff', '--name-only',\n '--diff-filter=ACM']).splitlines()\n staged_files = subprocess.check_output([\n 'git', 'diff', '--cached', '--name-only',\n '--diff-filter=ACM']).splitlines()\n all_changed_filepaths = unstaged_files + staged_files\n return [filepath for filepath in all_changed_filepaths]\n\n\ndef _get_all_files_in_directory(dir_path, excluded_glob_patterns):\n \"\"\"Recursively collects all files in directory and\n subdirectories of specified path.\n\n Args:\n dir_path: str. Path to the folder to be linted.\n excluded_glob_patterns: set(str). Set of all glob patterns\n to be excluded.\n\n Returns:\n list. A list of files in directory and subdirectories without excluded\n files.\n \"\"\"\n files_in_directory = []\n for _dir, _, files in os.walk(dir_path):\n for file_name in files:\n filepath = os.path.relpath(\n os.path.join(_dir, file_name), os.getcwd())\n if not any([\n fnmatch.fnmatch(filepath, gp) for gp in\n excluded_glob_patterns]):\n files_in_directory.append(filepath)\n return files_in_directory\n\n\ndef _get_file_extensions(file_extensions_to_lint):\n \"\"\"This function is used to return the file extensions which need to be\n linted and checked.\n\n Args:\n file_extensions_to_lint: list(str). The list of file extensions to be\n linted and checked.\n\n Returns:\n list(str). The list of all file extensions\n to be linted and checked.\n \"\"\"\n all_file_extensions_type = ['js', 'py', 'html', 'css', 'other']\n\n if file_extensions_to_lint:\n # Check if 'js' and 'ts' both are present in file_extensions_to_lint.\n js_and_ts_is_present = 'js' in file_extensions_to_lint and (\n 'ts' in file_extensions_to_lint)\n\n if js_and_ts_is_present:\n python_utils.PRINT(\n 'Please use only one of \"js\" or \"ts\", as we do not have '\n 'separate linters for JS and TS files. If both these options '\n 'are used together, then the JS/TS linter will be run twice.')\n python_utils.PRINT('Exiting...')\n sys.exit(1)\n\n return set(file_extensions_to_lint)\n\n return all_file_extensions_type\n\n\ndef _get_all_filepaths(input_path, input_filenames):\n \"\"\"This function is used to return the filepaths which needs to be linted\n and checked.\n\n Args:\n input_path: str. The path of the directory to be linted and checked.\n input_filenames: list(str). The list of filenames to be linted and\n checked, ignored if input_path is specified.\n\n Returns:\n list(str). The list of filepaths to be linted and checked.\n \"\"\"\n eslintignore_path = os.path.join(os.getcwd(), '.eslintignore')\n if input_path:\n input_path = os.path.join(os.getcwd(), input_path)\n if not os.path.exists(input_path):\n python_utils.PRINT(\n 'Could not locate file or directory %s. Exiting.' % input_path)\n python_utils.PRINT('----------------------------------------')\n sys.exit(1)\n if os.path.isfile(input_path):\n all_filepaths = [input_path]\n else:\n excluded_glob_patterns = FILE_CACHE.readlines(eslintignore_path)\n all_filepaths = _get_all_files_in_directory(\n input_path, excluded_glob_patterns)\n elif input_filenames:\n valid_filepaths = []\n invalid_filepaths = []\n for filename in input_filenames:\n if os.path.isfile(filename):\n valid_filepaths.append(filename)\n else:\n invalid_filepaths.append(filename)\n if invalid_filepaths:\n python_utils.PRINT(\n 'The following file(s) do not exist: %s\\n'\n 'Exiting.' % invalid_filepaths)\n sys.exit(1)\n all_filepaths = valid_filepaths\n else:\n all_filepaths = _get_changed_filepaths()\n all_filepaths = [\n filename for filename in all_filepaths if not\n any(fnmatch.fnmatch(filename, pattern) for pattern in(\n general_purpose_linter.EXCLUDED_PATHS))]\n return all_filepaths\n\n\ndef read_files(file_paths):\n \"\"\"Read all files to be checked and cache them. This will spin off multiple\n threads to increase the efficiency.\n \"\"\"\n threads = []\n for file_path in file_paths:\n thread = threading.Thread(target=FILE_CACHE.read, args=(file_path,))\n thread.start()\n threads.append(thread)\n\n for thread in threads:\n thread.join()\n\n\ndef categorize_files(file_paths):\n \"\"\"Categorize all the files and store them in shared variable _FILES.\"\"\"\n all_filepaths_dict = {\n '.py': [], '.html': [], '.ts': [], '.js': [], 'other': [], '.css': []\n }\n for file_path in file_paths:\n _, extension = os.path.splitext(file_path)\n if extension in all_filepaths_dict:\n all_filepaths_dict[extension].append(file_path)\n else:\n all_filepaths_dict['other'].append(file_path)\n _FILES.update(all_filepaths_dict)\n\n\ndef _print_summary_of_error_messages(lint_messages):\n \"\"\"Print summary of linter error messages.\n\n Args:\n lint_messages: list(str). List of linter error messages.\n \"\"\"\n if lint_messages != '':\n error_message_lines = [\n '----------------------------------------',\n 'Please fix the errors below:',\n '----------------------------------------',\n ] + lint_messages\n linter_utils.print_failure_message('\\n'.join(error_message_lines))\n\n\ndef _get_task_output(lint_messages, failed, task):\n \"\"\"Returns output of running tasks.\n\n Args:\n lint_messages: list(str). List of summary messages of linter output.\n failed: bool. The boolean to check if lint checks fail or not.\n task: object(TestingTaskSpec). The task object to get output of linter.\n\n Returns:\n bool. The boolean to check if the lint checks fail or not.\n \"\"\"\n if task.task_results:\n for task_result in task.task_results:\n lint_messages += task_result.trimmed_messages\n if task_result.failed:\n failed = True\n return failed\n\n\ndef _print_errors_stacktrace(errors_stacktrace):\n \"\"\"Print errors stacktrace caught during linter execution.\n\n Args:\n errors_stacktrace: list(str). List of error stacktrace of lint\n execution failure.\n \"\"\"\n python_utils.PRINT('')\n python_utils.PRINT(\n 'Unable to run the complete lint test, please check '\n 'the following stack trace and fix the errors:')\n python_utils.PRINT('+--------------------------+')\n for stacktrace in errors_stacktrace:\n python_utils.PRINT(stacktrace)\n python_utils.PRINT('--------------------------------------------------')\n python_utils.PRINT('')\n python_utils.PRINT('--------------------------------------------------')\n python_utils.PRINT(\n 'Some of the linting functions may not run until the'\n ' above errors gets fixed')\n\n\ndef _get_space_separated_linter_name(linter_name):\n \"\"\"Returns the space separated name of the linter class.\n\n Args:\n linter_name: str. Name of the linter class.\n\n Returns:\n str. Space separated name of the linter class.\n \"\"\"\n return re.sub(\n r'((?<=[a-z])[A-Z]|(?<!\\A)[A-Z](?=[a-z]))',\n r' \\1', linter_name)\n\n\ndef main(args=None):\n \"\"\"Main method for pre commit linter script that lints Python, JavaScript,\n HTML, and CSS files.\n \"\"\"\n parsed_args = _PARSER.parse_args(args=args)\n # File extension to be linted.\n file_extension_types = _get_file_extensions(\n parsed_args.only_check_file_extensions)\n # Default mode is non-verbose mode, if arguments contains --verbose flag it\n # will be made True, which will represent verbose mode.\n verbose_mode_enabled = bool(parsed_args.verbose)\n all_filepaths = _get_all_filepaths(parsed_args.path, parsed_args.files)\n\n install_third_party_libs.main()\n common.fix_third_party_imports()\n\n python_utils.PRINT('Starting Linter....')\n\n if len(all_filepaths) == 0:\n python_utils.PRINT('---------------------------')\n python_utils.PRINT('No files to check.')\n python_utils.PRINT('---------------------------')\n return\n\n read_files(all_filepaths)\n categorize_files(all_filepaths)\n\n # Prepare custom tasks.\n custom_max_concurrent_runs = 25\n custom_concurrent_count = min(\n multiprocessing.cpu_count(), custom_max_concurrent_runs)\n custom_semaphore = threading.Semaphore(custom_concurrent_count)\n\n # Prepare third_party tasks.\n third_party_max_concurrent_runs = 2\n third_party_concurrent_count = min(\n multiprocessing.cpu_count(), third_party_max_concurrent_runs)\n third_party_semaphore = threading.Semaphore(third_party_concurrent_count)\n\n custom_linters = []\n third_party_linters = []\n for file_extension_type in file_extension_types:\n if (file_extension_type == 'js' or file_extension_type == 'ts'):\n if len(_FILES['.js'] + _FILES['.ts']) == 0:\n continue\n elif (not file_extension_type == 'other' and not\n len(_FILES['.%s' % file_extension_type])):\n continue\n custom_linter, third_party_linter = _get_linters_for_file_extension(\n file_extension_type)\n custom_linters += custom_linter\n third_party_linters += third_party_linter\n\n # Create tasks.\n tasks_custom = []\n tasks_third_party = []\n\n for linter in custom_linters:\n name = _get_space_separated_linter_name(type(linter).__name__)\n task_custom = concurrent_task_utils.create_task(\n linter.perform_all_lint_checks, verbose_mode_enabled,\n custom_semaphore, name=name)\n tasks_custom.append(task_custom)\n\n for linter in third_party_linters:\n name = _get_space_separated_linter_name(type(linter).__name__)\n task_third_party = concurrent_task_utils.create_task(\n linter.perform_all_lint_checks, verbose_mode_enabled,\n third_party_semaphore, name=name)\n tasks_third_party.append(task_third_party)\n\n # Execute tasks.\n # Here we set Concurrency limit for custom task to 25 because we need to\n # parallelize the tasks to work on full capacity of CPU.\n # Concurrency limit for third party tasks is set to 2 because these\n # third party libraries have their own ways to lint at their fastest\n # (ie. might parallelize on their own)\n\n # Concurrency limit: 25.\n concurrent_task_utils.execute_tasks(tasks_custom, custom_semaphore)\n\n # Concurrency limit: 2.\n concurrent_task_utils.execute_tasks(\n tasks_third_party, third_party_semaphore)\n\n lint_messages = []\n failed = False\n\n for task in tasks_custom:\n failed = _get_task_output(lint_messages, failed, task)\n\n for task in tasks_third_party:\n failed = _get_task_output(lint_messages, failed, task)\n\n errors_stacktrace = concurrent_task_utils.ALL_ERRORS\n if errors_stacktrace:\n failed = True\n _print_errors_stacktrace(errors_stacktrace)\n\n if failed:\n _print_summary_of_error_messages(lint_messages)\n linter_utils.print_failure_message('\\n'.join([\n '---------------------------',\n 'Checks Not Passed.',\n '---------------------------']))\n sys.exit(1)\n else:\n linter_utils.print_success_message('\\n'.join([\n '---------------------------',\n 'All Checks Passed.',\n '---------------------------']))\n\n\nNAME_SPACE = multiprocessing.Manager().Namespace()\nPROCESSES = multiprocessing.Manager().dict()\nNAME_SPACE.files = FileCache()\nFILE_CACHE = NAME_SPACE.files\n\n\n# The 'no coverage' pragma is used as this line is un-testable. This is because\n# it will only be called when pre_commit_linter.py is used as a\n# script.\nif __name__ == '__main__': # pragma: no cover\n main()\n", "path": "scripts/linters/pre_commit_linter.py" } ]
diff --git a/.gitignore b/.gitignore index 0bfa156657f42..b0eab9d79e592 100644 --- a/.gitignore +++ b/.gitignore @@ -21,6 +21,7 @@ node_modules/* coverage.xml .viminfo .vscode/* +.nyc_output/* libpeerconnection.log readme_test_dir/* tsc_output_log.txt diff --git a/package.json b/package.json index 4ad00697e5dde..2b5e067b7312a 100644 --- a/package.json +++ b/package.json @@ -81,6 +81,7 @@ "karma-webpack": "^4.0.0-rc.3", "loader-utils": "^2.0.0", "mocha": "^8.1.1", + "nyc": "^15.1.0", "protractor": "^7.0.0", "protractor-jasmine2-screenshot-reporter": "^0.5.0", "puppeteer": "^5.0.0", diff --git a/scripts/linters/custom_eslint_checks/rules/break-after-parens.js b/scripts/linters/custom_eslint_checks/rules/break-after-parens.js index f29f7380a0680..350f6ad1bc064 100644 --- a/scripts/linters/custom_eslint_checks/rules/break-after-parens.js +++ b/scripts/linters/custom_eslint_checks/rules/break-after-parens.js @@ -75,7 +75,7 @@ module.exports = { } if (paren.value === '(') { parensCount += 1; - } else if (paren.value === ')') { + } else { if (parensCount > 0) { parensCount -= 1; } diff --git a/scripts/linters/custom_eslint_checks/rules/break-after-parens.spec.js b/scripts/linters/custom_eslint_checks/rules/break-after-parens.spec.js index cd734c99f2c6e..4f394006070d8 100644 --- a/scripts/linters/custom_eslint_checks/rules/break-after-parens.spec.js +++ b/scripts/linters/custom_eslint_checks/rules/break-after-parens.spec.js @@ -32,7 +32,9 @@ ruleTester.run('break-after-parens', rule, { `it('should' + 'happen')`, `angular.module('oppia').constant('default', - false);` + false);`, + `var a = ( + true);` ], invalid: [ diff --git a/scripts/linters/custom_eslint_checks/rules/dependency-checks.js b/scripts/linters/custom_eslint_checks/rules/dependency-checks.js index 8b5dd31a68a52..2040cab6710ac 100644 --- a/scripts/linters/custom_eslint_checks/rules/dependency-checks.js +++ b/scripts/linters/custom_eslint_checks/rules/dependency-checks.js @@ -41,16 +41,6 @@ module.exports = { const sourceCode = context.getSourceCode(); var isEquals = function(sortedImports, params) { - if (sortedImports === params) { - return true; - } - if (sortedImports === null || params === null) { - return false; - } - if (sortedImports.length !== params.length) { - return false; - } - for (var i = 0; i < sortedImports.length; ++i) { if (sortedImports[i] !== params[i]) { return false; @@ -105,38 +95,41 @@ module.exports = { ArrayExpression: function checkDirective(node) { var paramsList = []; var tokensList = []; - if (node.parent.key) { - if (node.parent.key.name === 'controller' && - node.parent.parent.type === 'ObjectExpression') { - if (node.elements[node.elements.length - 1].type === - 'FunctionExpression') { - var params = node.elements[node.elements.length - 1].params; - for (var index in params) { - var param = params[index]; - paramsList.push(param.name); + if (!node.parent.key) { + return true; + } + if (!(node.parent.key.name === 'controller' && + node.parent.parent.type === 'ObjectExpression')) { + return true; + } + if (!(node.elements[node.elements.length - 1].type === + 'FunctionExpression')) { + return true; + } + var params = node.elements[node.elements.length - 1].params; + for (var index in params) { + var param = params[index]; + paramsList.push(param.name); + } + var tokens = sourceCode.getTokens(node); + tokens.forEach((token) => { + if (token.type !== 'Punctuator') { + tokensList.push(token.value); + } + }); + checkSortedDependency(node, paramsList); + paramsList.forEach((param) => { + if (isUnused(param, tokensList)) { + context.report({ + node, + loc: node.loc, + messageId: 'unusedDirective', + data: { + dependencyName: param } - var tokens = sourceCode.getTokens(node); - tokens.forEach((token) => { - if (token.type !== 'Punctuator') { - tokensList.push(token.value); - } - }); - checkSortedDependency(node, paramsList); - paramsList.forEach((param) => { - if (isUnused(param, tokensList)) { - context.report({ - node, - loc: node.loc, - messageId: 'unusedDirective', - data: { - dependencyName: param - } - }); - } - }); - } + }); } - } + }); } }; } diff --git a/scripts/linters/custom_eslint_checks/rules/dependency-checks.spec.js b/scripts/linters/custom_eslint_checks/rules/dependency-checks.spec.js index 77736c98389de..a13099fb1bcd5 100644 --- a/scripts/linters/custom_eslint_checks/rules/dependency-checks.spec.js +++ b/scripts/linters/custom_eslint_checks/rules/dependency-checks.spec.js @@ -58,6 +58,56 @@ ruleTester.run('no-unused-dependency', rule, { } ] }; + }`, + `function test() { + return { + controllers: [ + '$http', '$translate', 'I18nLanguageCodeService', + 'UserService', 'SUPPORTED_SITE_LANGUAGES', + function( + $http, $translate, I18nLanguageCodeService, + UserService, SUPPORTED_SITE_LANGUAGES) { + var ctrl = this; + // Changes the language of the translations. + var preferencesDataUrl = '/preferenceshandler/data'; + var siteLanguageUrl = '/save_site_language'; + ctrl.changeLanguage = function() { + $translate.use(ctrl.currentLanguageCode); + I18nLanguageCodeService.setI18nLanguageCode( + ctrl.currentLanguageCode); + UserService.getUserInfoAsync().then(function(userInfo) { + if (userInfo.isLoggedIn()) { + $http.put(siteLanguageUrl, { + site_language_code: ctrl.currentLanguageCode + }); + } + }); + }; + ctrl.$onInit = function() { + ctrl.supportedSiteLanguages = SUPPORTED_SITE_LANGUAGES; + ctrl.currentLanguageCode = ( + $translate.proposedLanguage() || $translate.use()); + I18nLanguageCodeService.setI18nLanguageCode( + ctrl.currentLanguageCode); + }; + } + ] + }; + }`, + `function test() { + return { + controller: [ + (function() { + return true; + }), 'abc', 'abca' + ] + }; + }`, + `function test() { + a = [ + '$http', '$translate', 'I18nLanguageCodeService', + 'UserService', 'SUPPORTED_SITE_LANGUAGES' + ] }` ], diff --git a/scripts/linters/custom_eslint_checks/rules/test-message-style.js b/scripts/linters/custom_eslint_checks/rules/test-message-style.js index 572c93e3b7bc6..7649bcc267952 100644 --- a/scripts/linters/custom_eslint_checks/rules/test-message-style.js +++ b/scripts/linters/custom_eslint_checks/rules/test-message-style.js @@ -75,10 +75,10 @@ module.exports = { }; var extractMessage = function(node) { - if (node.type === 'Literal') { - return node.value; - } else if (node.type === 'BinaryExpression') { + if (node.type === 'BinaryExpression') { return extractMessage(node.left) + extractMessage(node.right); + } else { + return node.value; } }; diff --git a/scripts/linters/pre_commit_linter.py b/scripts/linters/pre_commit_linter.py index 9dc0aee9191ea..c852327b45239 100644 --- a/scripts/linters/pre_commit_linter.py +++ b/scripts/linters/pre_commit_linter.py @@ -572,6 +572,7 @@ def main(args=None): errors_stacktrace = concurrent_task_utils.ALL_ERRORS if errors_stacktrace: + failed = True _print_errors_stacktrace(errors_stacktrace) if failed: diff --git a/scripts/run_custom_eslint_tests.py b/scripts/run_custom_eslint_tests.py index 118067fa50bcb..3a8d3ff205f36 100644 --- a/scripts/run_custom_eslint_tests.py +++ b/scripts/run_custom_eslint_tests.py @@ -20,6 +20,7 @@ from __future__ import unicode_literals # pylint: disable=import-only-modules import os +import re import subprocess import sys @@ -30,9 +31,10 @@ def main(): """Run the tests.""" node_path = os.path.join(common.NODE_PATH, 'bin', 'node') + nyc_path = os.path.join('node_modules', 'nyc', 'bin', 'nyc.js') mocha_path = os.path.join('node_modules', 'mocha', 'bin', 'mocha') filepath = 'scripts/linters/custom_eslint_checks/rules/' - proc_args = [node_path, mocha_path, filepath] + proc_args = [node_path, nyc_path, mocha_path, filepath] proc = subprocess.Popen( proc_args, stdout=subprocess.PIPE, stderr=subprocess.PIPE) @@ -54,6 +56,15 @@ def main(): python_utils.PRINT('All tests passed') python_utils.PRINT('---------------------------') + coverage_result = re.search = re.search( + r'All files\s*\|\s*(?P<stmts>\S+)\s*\|\s*(?P<branch>\S+)\s*\|\s*' + r'(?P<funcs>\S+)\s*\|\s*(?P<lines>\S+)\s*\|\s*', tests_stdout) + if (coverage_result.group('stmts') != '100' or + coverage_result.group('branch') != '100' or + coverage_result.group('funcs') != '100' or + coverage_result.group('lines') != '100'): + raise Exception('Eslint test coverage is not 100%') + if __name__ == '__main__': main() diff --git a/yarn.lock b/yarn.lock index 31c9ef1fbd841..167f3cfd87906 100644 --- a/yarn.lock +++ b/yarn.lock @@ -300,6 +300,17 @@ minimatch "^3.0.4" strip-json-comments "^3.1.1" +"@istanbuljs/load-nyc-config@^1.0.0": + version "1.1.0" + resolved "https://registry.yarnpkg.com/@istanbuljs/load-nyc-config/-/load-nyc-config-1.1.0.tgz#fd3db1d59ecf7cf121e80650bb86712f9b55eced" + integrity sha512-VjeHSlIzpv/NyD3N0YuHfXOPDIixcA1q2ZV98wsMqcYlPmv2n3Yb2lYP9XMElnaFVXg5A7YLTeLu6V84uQDjmQ== + dependencies: + camelcase "^5.3.1" + find-up "^4.1.0" + get-package-type "^0.1.0" + js-yaml "^3.13.1" + resolve-from "^5.0.0" + "@istanbuljs/schema@^0.1.2": version "0.1.2" resolved "https://registry.yarnpkg.com/@istanbuljs/schema/-/schema-0.1.2.tgz#26520bf09abe4a5644cd5414e37125a8954241dd" @@ -1344,11 +1355,23 @@ anymatch@~3.1.1: normalize-path "^3.0.0" picomatch "^2.0.4" +append-transform@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/append-transform/-/append-transform-2.0.0.tgz#99d9d29c7b38391e6f428d28ce136551f0b77e12" + integrity sha512-7yeyCEurROLQJFv5Xj4lEGTy0borxepjFv1g22oAdqFu//SrAlDl1O1Nxx15SH1RoliUml6p8dwJW9jvZughhg== + dependencies: + default-require-extensions "^3.0.0" + aproba@^1.0.3, aproba@^1.1.1: version "1.2.0" resolved "https://registry.yarnpkg.com/aproba/-/aproba-1.2.0.tgz#6802e6264efd18c790a1b0d517f0f2627bf2c94a" integrity sha512-Y9J6ZjXtoYh8RnXVCMOU/ttDmk1aBjunq9vO0ta5x85WDQiQfUF9sIPBITdbiiIVcBo03Hi3jMxigBtsddlXRw== +archy@^1.0.0: + version "1.0.0" + resolved "https://registry.yarnpkg.com/archy/-/archy-1.0.0.tgz#f9c8c13757cc1dd7bc379ac77b2c62a5c2868c40" + integrity sha1-+cjBN1fMHde8N5rHeyxipcKGjEA= + are-we-there-yet@~1.1.2: version "1.1.5" resolved "https://registry.yarnpkg.com/are-we-there-yet/-/are-we-there-yet-1.1.5.tgz#4b35c2944f062a8bfcda66410760350fe9ddfc21" @@ -2093,6 +2116,16 @@ cacheable-request@^6.0.0: normalize-url "^4.1.0" responselike "^1.0.2" +caching-transform@^4.0.0: + version "4.0.0" + resolved "https://registry.yarnpkg.com/caching-transform/-/caching-transform-4.0.0.tgz#00d297a4206d71e2163c39eaffa8157ac0651f0f" + integrity sha512-kpqOvwXnjjN44D89K5ccQC+RUrsy7jB/XLlRrx0D7/2HNcTPqzsb6XgYoErwko6QsV184CA2YgS1fxDiiDZMWA== + dependencies: + hasha "^5.0.0" + make-dir "^3.0.0" + package-hash "^4.0.0" + write-file-atomic "^3.0.0" + call-bind@^1.0.0: version "1.0.0" resolved "https://registry.yarnpkg.com/call-bind/-/call-bind-1.0.0.tgz#24127054bb3f9bdcb4b1fb82418186072f77b8ce" @@ -2796,7 +2829,7 @@ cross-spawn@^6.0.0, cross-spawn@^6.0.5: shebang-command "^1.2.0" which "^1.2.9" -cross-spawn@^7.0.2: +cross-spawn@^7.0.0, cross-spawn@^7.0.2: version "7.0.3" resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.3.tgz#f73a85b9d5d41d045551c177e2882d4ac85728a6" integrity sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w== @@ -3342,6 +3375,13 @@ default-passive-events@^2.0.0: resolved "https://registry.yarnpkg.com/default-passive-events/-/default-passive-events-2.0.0.tgz#79b1aa67becbaab38b718469b5480fef92eda649" integrity sha512-eMtt76GpDVngZQ3ocgvRcNCklUMwID1PaNbCNxfpDXuiOXttSh0HzBbda1HU9SIUsDc02vb7g9+3I5tlqe/qMQ== +default-require-extensions@^3.0.0: + version "3.0.0" + resolved "https://registry.yarnpkg.com/default-require-extensions/-/default-require-extensions-3.0.0.tgz#e03f93aac9b2b6443fc52e5e4a37b3ad9ad8df96" + integrity sha512-ek6DpXq/SCpvjhpFsLFRVtIxJCRw6fUR42lYMVZuUMK7n8eMz4Uh5clckdBjEpLhn/gEBZo7hDJnJcwdKLKQjg== + dependencies: + strip-bom "^4.0.0" + defer-to-connect@^1.0.1: version "1.1.3" resolved "https://registry.yarnpkg.com/defer-to-connect/-/defer-to-connect-1.1.3.tgz#331ae050c08dcf789f8c83a7b81f0ed94f4ac591" @@ -3863,6 +3903,11 @@ es-to-primitive@^1.2.1: is-date-object "^1.0.1" is-symbol "^1.0.2" +es6-error@^4.0.1: + version "4.1.1" + resolved "https://registry.yarnpkg.com/es6-error/-/es6-error-4.1.1.tgz#9e3af407459deed47e9a91f9b885a84eb05c561d" + integrity sha512-Um/+FxMr9CISWh0bi5Zv0iOD+4cFh5qLeks1qhAopKVAJw3drgKbKySikp7wGhDL0HPeaja0P5ULZrxLkniUVg== + es6-promise@^4.0.3: version "4.2.8" resolved "https://registry.yarnpkg.com/es6-promise/-/es6-promise-4.2.8.tgz#4eb21594c972bc40553d276e510539143db53e0a" @@ -4410,7 +4455,7 @@ find-cache-dir@^2.1.0: make-dir "^2.0.0" pkg-dir "^3.0.0" -find-cache-dir@^3.0.0, find-cache-dir@^3.3.1: +find-cache-dir@^3.0.0, find-cache-dir@^3.2.0, find-cache-dir@^3.3.1: version "3.3.1" resolved "https://registry.yarnpkg.com/find-cache-dir/-/find-cache-dir-3.3.1.tgz#89b33fad4a4670daa94f855f7fbe31d6d84fe880" integrity sha512-t2GDMt3oGC/v+BMwzmllWDuJF/xcDtE5j/fCGbqDD7OLuJkj0cfh1YSA5VKPvwMeLFLNDBkwOKZ2X85jGLVftQ== @@ -4512,6 +4557,14 @@ for-own@^1.0.0: dependencies: for-in "^1.0.1" +foreground-child@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/foreground-child/-/foreground-child-2.0.0.tgz#71b32800c9f15aa8f2f83f4a6bd9bff35d861a53" + integrity sha512-dCIq9FpEcyQyXKCkyzmlPTFNgrCzPudOe+mhvJU5zAtlBnGVy2yKxtfsxK2tQBThwq225jcvBjpw1Gr40uzZCA== + dependencies: + cross-spawn "^7.0.0" + signal-exit "^3.0.2" + forever-agent@~0.6.1: version "0.6.1" resolved "https://registry.yarnpkg.com/forever-agent/-/forever-agent-0.6.1.tgz#fbc71f0c41adeb37f96c577ad1ed42d8fdacca91" @@ -4561,6 +4614,11 @@ from@~0: resolved "https://registry.yarnpkg.com/from/-/from-0.1.7.tgz#83c60afc58b9c56997007ed1a768b3ab303a44fe" integrity sha1-g8YK/Fi5xWmXAH7Rp2izqzA6RP4= +fromentries@^1.2.0: + version "1.3.1" + resolved "https://registry.yarnpkg.com/fromentries/-/fromentries-1.3.1.tgz#b14c6d4d606c771ce85597f13794fb10200a0ccc" + integrity sha512-w4t/zm2J+uAcrpeKyW0VmYiIs3aqe/xKQ+2qwazVNZSCklQHhaVjk6XzKw5GtImq5thgL0IVRjGRAOastb08RQ== + fs-constants@^1.0.0: version "1.0.0" resolved "https://registry.yarnpkg.com/fs-constants/-/fs-constants-1.0.0.tgz#6be0de9be998ce16af8afc24497b9ee9b7ccd9ad" @@ -4684,6 +4742,11 @@ get-intrinsic@^1.0.0: has "^1.0.3" has-symbols "^1.0.1" +get-package-type@^0.1.0: + version "0.1.0" + resolved "https://registry.yarnpkg.com/get-package-type/-/get-package-type-0.1.0.tgz#8de2d803cff44df3bc6c456e6668b36c3926e11a" + integrity sha512-pjzuKtY64GYfWizNAJ0fr9VqttZkNiK2iS430LtIHzjBEr6bX8Am2zm4sW4Ro5wjWW5cAlRL1qAMTcXbjNAO2Q== + get-pixels-frame-info-update@^3.3.2: version "3.3.2" resolved "https://registry.yarnpkg.com/get-pixels-frame-info-update/-/get-pixels-frame-info-update-3.3.2.tgz#8b549efcb570454094e5a9dc51d61cb9a62cdb4f" @@ -5053,6 +5116,14 @@ hash.js@^1.0.0, hash.js@^1.0.3: inherits "^2.0.3" minimalistic-assert "^1.0.1" +hasha@^5.0.0: + version "5.2.2" + resolved "https://registry.yarnpkg.com/hasha/-/hasha-5.2.2.tgz#a48477989b3b327aea3c04f53096d816d97522a1" + integrity sha512-Hrp5vIK/xr5SkeN2onO32H0MgNZ0f17HRNH39WfL0SYUNOTZ5Lz1TJ8Pajo/87dYGEFlLMm7mIc/k/s6Bvz9HQ== + dependencies: + is-stream "^2.0.0" + type-fest "^0.8.0" + [email protected]: version "0.0.3" resolved "https://registry.yarnpkg.com/hat/-/hat-0.0.3.tgz#bb014a9e64b3788aed8005917413d4ff3d502d8a" @@ -5834,6 +5905,11 @@ is-stream@^1.0.1, is-stream@^1.1.0: resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-1.1.0.tgz#12d4a3dd4e68e0b79ceb8dbc84173ae80d91ca44" integrity sha1-EtSj3U5o4Lec6428hBc66A2RykQ= +is-stream@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-2.0.0.tgz#bde9c32680d6fae04129d6ac9d921ce7815f78e3" + integrity sha512-XCoy+WlUr7d1+Z8GgSuXmpuUFC9fOhRXglJMx+dwLKTkL44Cjd4W1Z5P+BQZpr+cR93aGP4S/s7Ftw6Nd/kiEw== + is-supported-regexp-flag@^1.0.0: version "1.0.1" resolved "https://registry.yarnpkg.com/is-supported-regexp-flag/-/is-supported-regexp-flag-1.0.1.tgz#21ee16518d2c1dd3edd3e9a0d57e50207ac364ca" @@ -5960,11 +6036,18 @@ istanbul-lib-coverage@^2.0.5: resolved "https://registry.yarnpkg.com/istanbul-lib-coverage/-/istanbul-lib-coverage-2.0.5.tgz#675f0ab69503fad4b1d849f736baaca803344f49" integrity sha512-8aXznuEPCJvGnMSRft4udDRDtb1V3pkQkMMI5LI+6HuQz5oQ4J2UFn1H82raA3qJtyOLkkwVqICBQkjnGtn5mA== -istanbul-lib-coverage@^3.0.0: +istanbul-lib-coverage@^3.0.0, istanbul-lib-coverage@^3.0.0-alpha.1: version "3.0.0" resolved "https://registry.yarnpkg.com/istanbul-lib-coverage/-/istanbul-lib-coverage-3.0.0.tgz#f5944a37c70b550b02a78a5c3b2055b280cec8ec" integrity sha512-UiUIqxMgRDET6eR+o5HbfRYP1l0hqkWOs7vNxC/mggutCMUIhWMm8gAHb8tHlyfD3/l6rlgNA5cKdDzEAf6hEg== +istanbul-lib-hook@^3.0.0: + version "3.0.0" + resolved "https://registry.yarnpkg.com/istanbul-lib-hook/-/istanbul-lib-hook-3.0.0.tgz#8f84c9434888cc6b1d0a9d7092a76d239ebf0cc6" + integrity sha512-Pt/uge1Q9s+5VAZ+pCo16TYMWPBIl+oaNIjgLQxcX0itS6ueeaA+pEfThZpH8WxhFgCiEb8sAJY6MdUKgiIWaQ== + dependencies: + append-transform "^2.0.0" + istanbul-lib-instrument@^1.7.3: version "1.10.2" resolved "https://registry.yarnpkg.com/istanbul-lib-instrument/-/istanbul-lib-instrument-1.10.2.tgz#1f55ed10ac3c47f2bdddd5307935126754d0a9ca" @@ -5978,7 +6061,7 @@ istanbul-lib-instrument@^1.7.3: istanbul-lib-coverage "^1.2.1" semver "^5.3.0" -istanbul-lib-instrument@^4.0.1: +istanbul-lib-instrument@^4.0.0, istanbul-lib-instrument@^4.0.1: version "4.0.3" resolved "https://registry.yarnpkg.com/istanbul-lib-instrument/-/istanbul-lib-instrument-4.0.3.tgz#873c6fff897450118222774696a3f28902d77c1d" integrity sha512-BXgQl9kf4WTCPCCpmFGoJkz/+uhvm7h7PFKUYxh7qarQd3ER33vHG//qaE8eN25l07YqZPpHXU9I09l/RD5aGQ== @@ -5988,6 +6071,19 @@ istanbul-lib-instrument@^4.0.1: istanbul-lib-coverage "^3.0.0" semver "^6.3.0" +istanbul-lib-processinfo@^2.0.2: + version "2.0.2" + resolved "https://registry.yarnpkg.com/istanbul-lib-processinfo/-/istanbul-lib-processinfo-2.0.2.tgz#e1426514662244b2f25df728e8fd1ba35fe53b9c" + integrity sha512-kOwpa7z9hme+IBPZMzQ5vdQj8srYgAtaRqeI48NGmAQ+/5yKiHLV0QbYqQpxsdEF0+w14SoB8YbnHKcXE2KnYw== + dependencies: + archy "^1.0.0" + cross-spawn "^7.0.0" + istanbul-lib-coverage "^3.0.0-alpha.1" + make-dir "^3.0.0" + p-map "^3.0.0" + rimraf "^3.0.0" + uuid "^3.3.3" + istanbul-lib-report@^3.0.0: version "3.0.0" resolved "https://registry.yarnpkg.com/istanbul-lib-report/-/istanbul-lib-report-3.0.0.tgz#7518fe52ea44de372f460a76b5ecda9ffb73d8a6" @@ -6598,6 +6694,11 @@ locate-path@^6.0.0: dependencies: p-locate "^5.0.0" +lodash.flattendeep@^4.4.0: + version "4.4.0" + resolved "https://registry.yarnpkg.com/lodash.flattendeep/-/lodash.flattendeep-4.4.0.tgz#fb030917f86a3134e5bc9bec0d69e0013ddfedb2" + integrity sha1-+wMJF/hqMTTlvJvsDWngAT3f7bI= + lodash.get@^4.4.2: version "4.4.2" resolved "https://registry.yarnpkg.com/lodash.get/-/lodash.get-4.4.2.tgz#2d177f652fa31e939b4438d5341499dfa3825e99" @@ -7358,6 +7459,13 @@ node-pre-gyp@^0.11.0: semver "^5.3.0" tar "^4" +node-preload@^0.2.1: + version "0.2.1" + resolved "https://registry.yarnpkg.com/node-preload/-/node-preload-0.2.1.tgz#c03043bb327f417a18fee7ab7ee57b408a144301" + integrity sha512-RM5oyBy45cLEoHqCeh+MNuFAxO0vTFBLskvQbOKnEE7YTTSN4tbN8QWDIPQ6L+WvKsB/qLEGpYe2ZZ9d4W9OIQ== + dependencies: + process-on-spawn "^1.0.0" + node-releases@^1.1.61: version "1.1.65" resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-1.1.65.tgz#52d9579176bd60f23eba05c4438583f341944b81" @@ -7497,6 +7605,39 @@ nwsapi@^2.2.0: resolved "https://registry.yarnpkg.com/nwsapi/-/nwsapi-2.2.0.tgz#204879a9e3d068ff2a55139c2c772780681a38b7" integrity sha512-h2AatdwYH+JHiZpv7pt/gSX1XoRGb7L/qSIeuqA6GwYoF9w1vP1cw42TO0aI2pNyshRK5893hNSl+1//vHK7hQ== +nyc@^15.1.0: + version "15.1.0" + resolved "https://registry.yarnpkg.com/nyc/-/nyc-15.1.0.tgz#1335dae12ddc87b6e249d5a1994ca4bdaea75f02" + integrity sha512-jMW04n9SxKdKi1ZMGhvUTHBN0EICCRkHemEoE5jm6mTYcqcdas0ATzgUgejlQUHMvpnOZqGB5Xxsv9KxJW1j8A== + dependencies: + "@istanbuljs/load-nyc-config" "^1.0.0" + "@istanbuljs/schema" "^0.1.2" + caching-transform "^4.0.0" + convert-source-map "^1.7.0" + decamelize "^1.2.0" + find-cache-dir "^3.2.0" + find-up "^4.1.0" + foreground-child "^2.0.0" + get-package-type "^0.1.0" + glob "^7.1.6" + istanbul-lib-coverage "^3.0.0" + istanbul-lib-hook "^3.0.0" + istanbul-lib-instrument "^4.0.0" + istanbul-lib-processinfo "^2.0.2" + istanbul-lib-report "^3.0.0" + istanbul-lib-source-maps "^4.0.0" + istanbul-reports "^3.0.2" + make-dir "^3.0.0" + node-preload "^0.2.1" + p-map "^3.0.0" + process-on-spawn "^1.0.0" + resolve-from "^5.0.0" + rimraf "^3.0.0" + signal-exit "^3.0.2" + spawn-wrap "^2.0.0" + test-exclude "^6.0.0" + yargs "^15.0.2" + oauth-sign@~0.9.0: version "0.9.0" resolved "https://registry.yarnpkg.com/oauth-sign/-/oauth-sign-0.9.0.tgz#47a7b016baa68b5fa0ecf3dee08a85c679ac6455" @@ -7757,6 +7898,13 @@ p-map@^2.0.0: resolved "https://registry.yarnpkg.com/p-map/-/p-map-2.1.0.tgz#310928feef9c9ecc65b68b17693018a665cea175" integrity sha512-y3b8Kpd8OAN444hxfBbFfj1FY/RjtTd8tzYwhUqNYXx0fXx2iX4maP4Qr6qhIKbQXI02wTLAda4fYUbDagTUFw== +p-map@^3.0.0: + version "3.0.0" + resolved "https://registry.yarnpkg.com/p-map/-/p-map-3.0.0.tgz#d704d9af8a2ba684e2600d9a215983d4141a979d" + integrity sha512-d3qXVTF/s+W+CdJ5A29wywV2n8CQQYahlgz2bFiA+4eVNJbHJodPZ+/gXwPGh0bOqA+j8S+6+ckmvLGPk1QpxQ== + dependencies: + aggregate-error "^3.0.0" + p-map@^4.0.0: version "4.0.0" resolved "https://registry.yarnpkg.com/p-map/-/p-map-4.0.0.tgz#bb2f95a5eda2ec168ec9274e06a747c3e2904d2b" @@ -7769,6 +7917,16 @@ p-try@^2.0.0: resolved "https://registry.yarnpkg.com/p-try/-/p-try-2.2.0.tgz#cb2868540e313d61de58fafbe35ce9004d5540e6" integrity sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ== +package-hash@^4.0.0: + version "4.0.0" + resolved "https://registry.yarnpkg.com/package-hash/-/package-hash-4.0.0.tgz#3537f654665ec3cc38827387fc904c163c54f506" + integrity sha512-whdkPIooSu/bASggZ96BWVvZTRMOFxnyUG5PnTSGKoJE2gd5mbVNmR2Nj20QFzxYYgAXpoqC+AiXzl+UMRh7zQ== + dependencies: + graceful-fs "^4.1.15" + hasha "^5.0.0" + lodash.flattendeep "^4.4.0" + release-zalgo "^1.0.0" + package-json@^6.3.0: version "6.5.0" resolved "https://registry.yarnpkg.com/package-json/-/package-json-6.5.0.tgz#6feedaca35e75725876d0b0e64974697fed145b0" @@ -8234,6 +8392,13 @@ process-nextick-args@~2.0.0: resolved "https://registry.yarnpkg.com/process-nextick-args/-/process-nextick-args-2.0.1.tgz#7820d9b16120cc55ca9ae7792680ae7dba6d7fe2" integrity sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag== +process-on-spawn@^1.0.0: + version "1.0.0" + resolved "https://registry.yarnpkg.com/process-on-spawn/-/process-on-spawn-1.0.0.tgz#95b05a23073d30a17acfdc92a440efd2baefdc93" + integrity sha512-1WsPDsUSMmZH5LeMLegqkPDrsGgsWwk1Exipy2hvB0o/F0ASzbpIctSCcZIK1ykJvtTJULEH+20WOFjMvGnCTg== + dependencies: + fromentries "^1.2.0" + process@^0.11.10: version "0.11.10" resolved "https://registry.yarnpkg.com/process/-/process-0.11.10.tgz#7332300e840161bda3e69a1d1d91a7d4bc16f182" @@ -8639,6 +8804,13 @@ relateurl@^0.2.7: resolved "https://registry.yarnpkg.com/relateurl/-/relateurl-0.2.7.tgz#54dbf377e51440aca90a4cd274600d3ff2d888a9" integrity sha1-VNvzd+UUQKypCkzSdGANP/LYiKk= +release-zalgo@^1.0.0: + version "1.0.0" + resolved "https://registry.yarnpkg.com/release-zalgo/-/release-zalgo-1.0.0.tgz#09700b7e5074329739330e535c5a90fb67851730" + integrity sha1-CXALflB0Mpc5Mw5TXFqQ+2eFFzA= + dependencies: + es6-error "^4.0.1" + remark-parse@^8.0.0: version "8.0.3" resolved "https://registry.yarnpkg.com/remark-parse/-/remark-parse-8.0.3.tgz#9c62aa3b35b79a486454c690472906075f40c7e1" @@ -9390,6 +9562,18 @@ sourcemapped-stacktrace@^1.1.11: dependencies: source-map "0.5.6" +spawn-wrap@^2.0.0: + version "2.0.0" + resolved "https://registry.yarnpkg.com/spawn-wrap/-/spawn-wrap-2.0.0.tgz#103685b8b8f9b79771318827aa78650a610d457e" + integrity sha512-EeajNjfN9zMnULLwhZZQU3GWBoFNkbngTUPfaawT4RkMiviTxcX0qfhVbGey39mfctfDHkWtuecgQ8NJcyQWHg== + dependencies: + foreground-child "^2.0.0" + is-windows "^1.0.2" + make-dir "^3.0.0" + rimraf "^3.0.0" + signal-exit "^3.0.2" + which "^2.0.1" + spdx-correct@^3.0.0: version "3.1.1" resolved "https://registry.yarnpkg.com/spdx-correct/-/spdx-correct-3.1.1.tgz#dece81ac9c1e6713e5f7d1b6f17d468fa53d89a9" @@ -9678,6 +9862,11 @@ strip-ansi@^6.0.0: dependencies: ansi-regex "^5.0.0" +strip-bom@^4.0.0: + version "4.0.0" + resolved "https://registry.yarnpkg.com/strip-bom/-/strip-bom-4.0.0.tgz#9c3505c1db45bcedca3d9cf7a16f5c5aa3901878" + integrity sha512-3xurFv5tEgii33Zi8Jtp55wEIILR9eh34FAW00PZf+JnSsTmV/ioewSgQl97JHvgjoRGwPShsWm+IdrxB35d0w== + strip-eof@^1.0.0: version "1.0.0" resolved "https://registry.yarnpkg.com/strip-eof/-/strip-eof-1.0.0.tgz#bb43ff5598a6eb05d89b59fcd129c983313606bf" @@ -9985,6 +10174,15 @@ terser@^5.3.4: source-map "~0.7.2" source-map-support "~0.5.19" +test-exclude@^6.0.0: + version "6.0.0" + resolved "https://registry.yarnpkg.com/test-exclude/-/test-exclude-6.0.0.tgz#04a8698661d805ea6fa293b6cb9e63ac044ef15e" + integrity sha512-cAGWPIyOHU6zlmg88jwm7VRyXnMN7iV68OGAbYDk/Mh/xC/pzVPlQtY6ngoIH/5/tciuhGfvESU8GrHrcxD56w== + dependencies: + "@istanbuljs/schema" "^0.1.2" + glob "^7.1.4" + minimatch "^3.0.4" + text-table@^0.2.0: version "0.2.0" resolved "https://registry.yarnpkg.com/text-table/-/text-table-0.2.0.tgz#7f5ee823ae805207c00af2df4a84ec3fcfa570b4" @@ -10278,7 +10476,7 @@ type-fest@^0.6.0: resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-0.6.0.tgz#8d2a2370d3df886eb5c90ada1c5bf6188acf838b" integrity sha512-q+MB8nYR1KDLrgr4G5yemftpMC7/QLqVndBmEEdqzmNj5dcFOO4Oo8qlwZE3ULT3+Zim1F8Kq4cBnikNhlCMlg== -type-fest@^0.8.1: +type-fest@^0.8.0, type-fest@^0.8.1: version "0.8.1" resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-0.8.1.tgz#09e249ebde851d3b1e48d27c105444667f17b83d" integrity sha512-4dbzIzqvjtgiM5rw1k5rEHtBANKmdudhGyBEajN01fEyhaAIhsoKNy6y7+IN93IfpFtwY9iqi7kD+xwKhQsNJA== @@ -10599,7 +10797,7 @@ uuid@^2.0.0: resolved "https://registry.yarnpkg.com/uuid/-/uuid-2.0.3.tgz#67e2e863797215530dff318e5bf9dcebfd47b21a" integrity sha1-Z+LoY3lyFVMN/zGOW/nc6/1Hsho= -uuid@^3.3.2: +uuid@^3.3.2, uuid@^3.3.3: version "3.4.0" resolved "https://registry.yarnpkg.com/uuid/-/uuid-3.4.0.tgz#b23e4358afa8a202fe7a100af1f5f883f02007ee" integrity sha512-HjSDRw6gZE5JMggctHBcjVak08+KEVhSIiDzFnT9S9aegmp85S/bReBVTb4QTFaRNptJ9kuYaNhnbNEOkbKb/A== @@ -11178,7 +11376,7 @@ yargs@^12.0.5: y18n "^3.2.1 || ^4.0.0" yargs-parser "^11.1.1" -yargs@^15.1.0, yargs@^15.3.1: +yargs@^15.0.2, yargs@^15.1.0, yargs@^15.3.1: version "15.4.1" resolved "https://registry.yarnpkg.com/yargs/-/yargs-15.4.1.tgz#0d87a16de01aee9d8bec2bfbf74f67851730f4f8" integrity sha512-aePbxDmcYW++PaqBsJ+HYUFwCdv4LVvdnhBy78E57PIor8/OVvhMrADFFEDh8DHDFRv/O9i3lPhsENjO7QX0+A==
Add test coverage for eslint checks Add test coverage for eslint checks. See if we can use [nyc](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwivs4zuvM3rAhUozzgGHTpcCGkQFjACegQIBBAB&url=https%3A%2F%2Fmedium.com%2F%40asemiloore%2Fnodejs-testing-with-mocha-and-code-coverage-with-nyc-9d1d6e428ac1&usg=AOvVaw00Ju9zWuXh4J3QvrWr11Nz) Add test coverage for eslint checks Add test coverage for eslint checks. See if we can use [nyc](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwivs4zuvM3rAhUozzgGHTpcCGkQFjACegQIBBAB&url=https%3A%2F%2Fmedium.com%2F%40asemiloore%2Fnodejs-testing-with-mocha-and-code-coverage-with-nyc-9d1d6e428ac1&usg=AOvVaw00Ju9zWuXh4J3QvrWr11Nz)
apache__airflow-15117
[ { "content": "# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License. You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied. See the License for the\n# specific language governing permissions and limitations\n# under the License.\nfrom typing import List, NamedTuple\n\nfrom flask_appbuilder.security.sqla.models import User\nfrom marshmallow import Schema, fields\nfrom marshmallow_sqlalchemy import SQLAlchemySchema, auto_field\n\nfrom airflow.api_connexion.parameters import validate_istimezone\nfrom airflow.api_connexion.schemas.role_and_permission_schema import RoleSchema\n\n\nclass UserCollectionItemSchema(SQLAlchemySchema):\n \"\"\"user collection item schema\"\"\"\n\n class Meta:\n \"\"\"Meta\"\"\"\n\n model = User\n dateformat = \"iso\"\n\n user_id = auto_field('id', dump_only=True)\n first_name = auto_field()\n last_name = auto_field()\n username = auto_field()\n active = auto_field(dump_only=True)\n email = auto_field()\n last_login = auto_field(dump_only=True)\n login_count = auto_field(dump_only=True)\n fail_login_count = auto_field(dump_only=True)\n roles = fields.List(fields.Nested(RoleSchema, only=('name',)))\n created_on = auto_field(validate=validate_istimezone, dump_only=True)\n changed_on = auto_field(validate=validate_istimezone, dump_only=True)\n\n\nclass UserSchema(UserCollectionItemSchema):\n \"\"\"User schema\"\"\"\n\n password = auto_field(load_only=True)\n\n\nclass UserCollection(NamedTuple):\n \"\"\"User collection\"\"\"\n\n users: List[User]\n total_entries: int\n\n\nclass UserCollectionSchema(Schema):\n \"\"\"User collection schema\"\"\"\n\n users = fields.List(fields.Nested(UserCollectionItemSchema))\n total_entries = fields.Int()\n\n\nuser_collection_item_schema = UserCollectionItemSchema()\nuser_schema = UserSchema()\nuser_collection_schema = UserCollectionSchema()\n", "path": "airflow/api_connexion/schemas/user_schema.py" } ]
[ { "content": "# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License. You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied. See the License for the\n# specific language governing permissions and limitations\n# under the License.\nfrom typing import List, NamedTuple\n\nfrom flask_appbuilder.security.sqla.models import User\nfrom marshmallow import Schema, fields\nfrom marshmallow_sqlalchemy import SQLAlchemySchema, auto_field\n\nfrom airflow.api_connexion.parameters import validate_istimezone\nfrom airflow.api_connexion.schemas.role_and_permission_schema import RoleSchema\n\n\nclass UserCollectionItemSchema(SQLAlchemySchema):\n \"\"\"user collection item schema\"\"\"\n\n class Meta:\n \"\"\"Meta\"\"\"\n\n model = User\n dateformat = \"iso\"\n\n first_name = auto_field()\n last_name = auto_field()\n username = auto_field()\n active = auto_field(dump_only=True)\n email = auto_field()\n last_login = auto_field(dump_only=True)\n login_count = auto_field(dump_only=True)\n fail_login_count = auto_field(dump_only=True)\n roles = fields.List(fields.Nested(RoleSchema, only=('name',)))\n created_on = auto_field(validate=validate_istimezone, dump_only=True)\n changed_on = auto_field(validate=validate_istimezone, dump_only=True)\n\n\nclass UserSchema(UserCollectionItemSchema):\n \"\"\"User schema\"\"\"\n\n password = auto_field(load_only=True)\n\n\nclass UserCollection(NamedTuple):\n \"\"\"User collection\"\"\"\n\n users: List[User]\n total_entries: int\n\n\nclass UserCollectionSchema(Schema):\n \"\"\"User collection schema\"\"\"\n\n users = fields.List(fields.Nested(UserCollectionItemSchema))\n total_entries = fields.Int()\n\n\nuser_collection_item_schema = UserCollectionItemSchema()\nuser_schema = UserSchema()\nuser_collection_schema = UserCollectionSchema()\n", "path": "airflow/api_connexion/schemas/user_schema.py" } ]
diff --git a/airflow/api_connexion/openapi/v1.yaml b/airflow/api_connexion/openapi/v1.yaml index 7885e8d912c5a..08e3595276725 100644 --- a/airflow/api_connexion/openapi/v1.yaml +++ b/airflow/api_connexion/openapi/v1.yaml @@ -1499,10 +1499,6 @@ components: A user object type: object properties: - user_id: - type: integer - description: The user id - readOnly: true first_name: type: string description: The user firstname diff --git a/airflow/api_connexion/schemas/user_schema.py b/airflow/api_connexion/schemas/user_schema.py index c78493fd44df4..f7b1dea6e1648 100644 --- a/airflow/api_connexion/schemas/user_schema.py +++ b/airflow/api_connexion/schemas/user_schema.py @@ -33,7 +33,6 @@ class Meta: model = User dateformat = "iso" - user_id = auto_field('id', dump_only=True) first_name = auto_field() last_name = auto_field() username = auto_field() diff --git a/tests/api_connexion/endpoints/test_user_endpoint.py b/tests/api_connexion/endpoints/test_user_endpoint.py index b52c54cfdd112..f5247501ba7f2 100644 --- a/tests/api_connexion/endpoints/test_user_endpoint.py +++ b/tests/api_connexion/endpoints/test_user_endpoint.py @@ -98,7 +98,6 @@ def test_should_respond_200(self): 'last_name': 'test1', 'login_count': None, 'roles': [], - 'user_id': users[0].id, 'username': 'TEST_USER1', } diff --git a/tests/api_connexion/schemas/test_user_schema.py b/tests/api_connexion/schemas/test_user_schema.py index d11198bd504c7..619e6d4c6a2ec 100644 --- a/tests/api_connexion/schemas/test_user_schema.py +++ b/tests/api_connexion/schemas/test_user_schema.py @@ -71,12 +71,11 @@ def test_serialize(self): self.session.commit() user = self.session.query(User).filter(User.email == TEST_EMAIL).first() deserialized_user = user_collection_item_schema.dump(user) - # No password in dump + # No user_id and password in dump assert deserialized_user == { 'created_on': DEFAULT_TIME, 'email': '[email protected]', 'changed_on': DEFAULT_TIME, - 'user_id': user.id, 'active': None, 'last_login': None, 'last_name': 'Bar', @@ -103,13 +102,12 @@ def test_serialize(self): self.session.commit() user = self.session.query(User).filter(User.email == TEST_EMAIL).first() deserialized_user = user_schema.dump(user) - # No password in dump + # No user_id and password in dump assert deserialized_user == { 'roles': [], 'created_on': DEFAULT_TIME, 'email': '[email protected]', 'changed_on': DEFAULT_TIME, - 'user_id': user.id, 'active': None, 'last_login': None, 'last_name': 'Bar',
Remove 'user_id', 'role_id' from User and Role in OpenAPI schema Would be good to remove the 'id' of both User and Role schemas from what is dumped in REST API endpoints. ID of User and Role table are sensitive data that would be fine to hide from the endpoints
ibis-project__ibis-3124
[ { "content": "from __future__ import annotations\n\nimport ast\nimport builtins\nimport collections\nimport datetime\nimport enum\nimport functools\nimport itertools\nimport numbers\nimport re\nimport typing\nfrom typing import Iterator, Mapping, NamedTuple, Sequence, TypeVar\n\nimport pandas as pd\nimport parsy as p\nimport toolz\nfrom multipledispatch import Dispatcher\n\nimport ibis.common.exceptions as com\nimport ibis.expr.types as ir\nfrom ibis import util\n\nIS_SHAPELY_AVAILABLE = False\ntry:\n import shapely.geometry\n\n IS_SHAPELY_AVAILABLE = True\nexcept ImportError:\n ...\n\n\nclass DataType:\n\n __slots__ = ('nullable',)\n\n def __init__(self, nullable: bool = True, **kwargs) -> None:\n self.nullable = nullable\n\n def __call__(self, nullable: bool = True) -> DataType:\n if nullable is not True and nullable is not False:\n raise TypeError(\n \"__call__ only accepts the 'nullable' argument. \"\n \"Please construct a new instance of the type to change the \"\n \"values of the attributes.\"\n )\n return self._factory(nullable=nullable)\n\n def _factory(self, nullable: bool = True) -> DataType:\n slots = {\n slot: getattr(self, slot)\n for slot in self.__slots__\n if slot != 'nullable'\n }\n return type(self)(nullable=nullable, **slots)\n\n def __eq__(self, other) -> bool:\n return self.equals(other)\n\n def __ne__(self, other) -> bool:\n return not (self == other)\n\n def __hash__(self) -> int:\n custom_parts = tuple(\n getattr(self, slot)\n for slot in toolz.unique(self.__slots__ + ('nullable',))\n )\n return hash((type(self),) + custom_parts)\n\n def __repr__(self) -> str:\n return '{}({})'.format(\n self.name,\n ', '.join(\n f'{slot}={getattr(self, slot)!r}'\n for slot in toolz.unique(self.__slots__ + ('nullable',))\n ),\n )\n\n def __str__(self) -> str:\n return '{}{}'.format(\n self.name.lower(), '[non-nullable]' if not self.nullable else ''\n )\n\n @property\n def name(self) -> str:\n return type(self).__name__\n\n def equals(\n self,\n other: DataType,\n cache: Mapping[typing.Any, bool] | None = None,\n ) -> bool:\n if isinstance(other, str):\n raise TypeError(\n 'Comparing datatypes to strings is not allowed. Convert '\n '{!r} to the equivalent DataType instance.'.format(other)\n )\n return (\n isinstance(other, type(self))\n and self.nullable == other.nullable\n and self.__slots__ == other.__slots__\n and all(\n getattr(self, slot) == getattr(other, slot)\n for slot in self.__slots__\n )\n )\n\n def castable(self, target, **kwargs):\n return castable(self, target, **kwargs)\n\n def cast(self, target, **kwargs):\n return cast(self, target, **kwargs)\n\n def scalar_type(self):\n return functools.partial(self.scalar, dtype=self)\n\n def column_type(self):\n return functools.partial(self.column, dtype=self)\n\n def _literal_value_hash_key(self, value) -> tuple[DataType, typing.Any]:\n \"\"\"Return a hash for `value`.\"\"\"\n return self, value\n\n\nclass Any(DataType):\n __slots__ = ()\n\n\nclass Primitive(DataType):\n __slots__ = ()\n\n def __repr__(self) -> str:\n name = self.name.lower()\n if not self.nullable:\n return f'{name}[non-nullable]'\n return name\n\n\nclass Null(DataType):\n scalar = ir.NullScalar\n column = ir.NullColumn\n\n __slots__ = ()\n\n\nclass Variadic(DataType):\n __slots__ = ()\n\n\nclass Boolean(Primitive):\n scalar = ir.BooleanScalar\n column = ir.BooleanColumn\n\n __slots__ = ()\n\n\nclass Bounds(NamedTuple):\n lower: int\n upper: int\n\n\nclass Integer(Primitive):\n scalar = ir.IntegerScalar\n column = ir.IntegerColumn\n\n __slots__ = ()\n\n @property\n def _nbytes(self) -> int:\n raise TypeError(\n \"Cannot determine the size in bytes of an abstract integer type.\"\n )\n\n\nclass String(Variadic):\n \"\"\"A type representing a string.\n\n Notes\n -----\n Because of differences in the way different backends handle strings, we\n cannot assume that strings are UTF-8 encoded.\n \"\"\"\n\n scalar = ir.StringScalar\n column = ir.StringColumn\n\n __slots__ = ()\n\n\nclass Binary(Variadic):\n \"\"\"A type representing a blob of bytes.\n\n Notes\n -----\n Some databases treat strings and blobs of equally, and some do not. For\n example, Impala doesn't make a distinction between string and binary types\n but PostgreSQL has a TEXT type and a BYTEA type which are distinct types\n that behave differently.\n \"\"\"\n\n scalar = ir.BinaryScalar\n column = ir.BinaryColumn\n\n __slots__ = ()\n\n\nclass Date(Primitive):\n scalar = ir.DateScalar\n column = ir.DateColumn\n\n __slots__ = ()\n\n\nclass Time(Primitive):\n scalar = ir.TimeScalar\n column = ir.TimeColumn\n\n __slots__ = ()\n\n\nclass Timestamp(DataType):\n scalar = ir.TimestampScalar\n column = ir.TimestampColumn\n\n __slots__ = ('timezone',)\n\n def __init__(\n self, timezone: str | None = None, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.timezone = timezone\n\n def __str__(self) -> str:\n timezone = self.timezone\n typename = self.name.lower()\n if timezone is None:\n return typename\n return f'{typename}({timezone!r})'\n\n\nclass SignedInteger(Integer):\n @property\n def largest(self):\n return int64\n\n @property\n def bounds(self):\n exp = self._nbytes * 8 - 1\n upper = (1 << exp) - 1\n return Bounds(lower=~upper, upper=upper)\n\n\nclass UnsignedInteger(Integer):\n @property\n def largest(self):\n return uint64\n\n @property\n def bounds(self):\n exp = self._nbytes * 8 - 1\n upper = 1 << exp\n return Bounds(lower=0, upper=upper)\n\n\nclass Floating(Primitive):\n scalar = ir.FloatingScalar\n column = ir.FloatingColumn\n\n __slots__ = ()\n\n @property\n def largest(self):\n return float64\n\n @property\n def _nbytes(self) -> int:\n raise TypeError(\n \"Cannot determine the size in bytes of an abstract floating \"\n \"point type.\"\n )\n\n\nclass Int8(SignedInteger):\n __slots__ = ()\n _nbytes = 1\n\n\nclass Int16(SignedInteger):\n __slots__ = ()\n _nbytes = 2\n\n\nclass Int32(SignedInteger):\n __slots__ = ()\n _nbytes = 4\n\n\nclass Int64(SignedInteger):\n __slots__ = ()\n _nbytes = 8\n\n\nclass UInt8(UnsignedInteger):\n __slots__ = ()\n _nbytes = 1\n\n\nclass UInt16(UnsignedInteger):\n __slots__ = ()\n _nbytes = 2\n\n\nclass UInt32(UnsignedInteger):\n __slots__ = ()\n _nbytes = 4\n\n\nclass UInt64(UnsignedInteger):\n __slots__ = ()\n _nbytes = 8\n\n\nclass Float16(Floating):\n __slots__ = ()\n _nbytes = 2\n\n\nclass Float32(Floating):\n __slots__ = ()\n _nbytes = 4\n\n\nclass Float64(Floating):\n __slots__ = ()\n _nbytes = 8\n\n\nHalffloat = Float16\nFloat = Float32\nDouble = Float64\n\n\nclass Decimal(DataType):\n scalar = ir.DecimalScalar\n column = ir.DecimalColumn\n\n __slots__ = 'precision', 'scale'\n\n def __init__(\n self, precision: int, scale: int, nullable: bool = True\n ) -> None:\n if not isinstance(precision, numbers.Integral):\n raise TypeError('Decimal type precision must be an integer')\n if not isinstance(scale, numbers.Integral):\n raise TypeError('Decimal type scale must be an integer')\n if precision < 0:\n raise ValueError('Decimal type precision cannot be negative')\n if not precision:\n raise ValueError('Decimal type precision cannot be zero')\n if scale < 0:\n raise ValueError('Decimal type scale cannot be negative')\n if precision < scale:\n raise ValueError(\n 'Decimal type precision must be greater than or equal to '\n 'scale. Got precision={:d} and scale={:d}'.format(\n precision, scale\n )\n )\n\n super().__init__(nullable=nullable)\n self.precision = precision # type: int\n self.scale = scale # type: int\n\n def __str__(self) -> str:\n return '{}({:d}, {:d})'.format(\n self.name.lower(), self.precision, self.scale\n )\n\n @property\n def largest(self) -> Decimal:\n return Decimal(38, self.scale)\n\n\nclass Interval(DataType):\n scalar = ir.IntervalScalar\n column = ir.IntervalColumn\n\n __slots__ = 'value_type', 'unit'\n\n # based on numpy's units\n _units = {\n 'Y': 'year',\n 'Q': 'quarter',\n 'M': 'month',\n 'W': 'week',\n 'D': 'day',\n 'h': 'hour',\n 'm': 'minute',\n 's': 'second',\n 'ms': 'millisecond',\n 'us': 'microsecond',\n 'ns': 'nanosecond',\n }\n\n _timedelta_to_interval_units = {\n 'days': 'D',\n 'hours': 'h',\n 'minutes': 'm',\n 'seconds': 's',\n 'milliseconds': 'ms',\n 'microseconds': 'us',\n 'nanoseconds': 'ns',\n }\n\n def _convert_timedelta_unit_to_interval_unit(self, unit: str):\n if unit not in self._timedelta_to_interval_units:\n raise ValueError\n return self._timedelta_to_interval_units[unit]\n\n def __init__(\n self,\n unit: str = 's',\n value_type: Integer = None,\n nullable: bool = True,\n ) -> None:\n super().__init__(nullable=nullable)\n if unit not in self._units:\n try:\n unit = self._convert_timedelta_unit_to_interval_unit(unit)\n except ValueError:\n raise ValueError(f'Unsupported interval unit `{unit}`')\n\n if value_type is None:\n value_type = int32\n else:\n value_type = dtype(value_type)\n\n if not isinstance(value_type, Integer):\n raise TypeError(\"Interval's inner type must be an Integer subtype\")\n\n self.unit = unit\n self.value_type = value_type\n\n @property\n def bounds(self):\n return self.value_type.bounds\n\n @property\n def resolution(self):\n \"\"\"Unit's name\"\"\"\n return self._units[self.unit]\n\n def __str__(self):\n unit = self.unit\n typename = self.name.lower()\n value_type_name = self.value_type.name.lower()\n return f'{typename}<{value_type_name}>(unit={unit!r})'\n\n\nclass Category(DataType):\n scalar = ir.CategoryScalar\n column = ir.CategoryColumn\n\n __slots__ = ('cardinality',)\n\n def __init__(self, cardinality=None, nullable=True):\n super().__init__(nullable=nullable)\n self.cardinality = cardinality\n\n def __repr__(self):\n if self.cardinality is not None:\n cardinality = self.cardinality\n else:\n cardinality = 'unknown'\n return f'{self.name}(cardinality={cardinality!r})'\n\n def to_integer_type(self):\n # TODO: this should be removed I guess\n if self.cardinality is None:\n return int64\n else:\n return infer(self.cardinality)\n\n\nclass Struct(DataType):\n scalar = ir.StructScalar\n column = ir.StructColumn\n\n __slots__ = 'names', 'types'\n\n def __init__(\n self, names: list[str], types: list[DataType], nullable: bool = True\n ) -> None:\n \"\"\"Construct a ``Struct`` type from a `names` and `types`.\n\n Parameters\n ----------\n names : Sequence[str]\n Sequence of strings indicating the name of each field in the\n struct.\n types : Sequence[Union[str, DataType]]\n Sequence of strings or :class:`~ibis.expr.datatypes.DataType`\n instances, one for each field\n nullable : bool, optional\n Whether the struct can be null\n \"\"\"\n if not (names and types):\n raise ValueError('names and types must not be empty')\n if len(names) != len(types):\n raise ValueError('names and types must have the same length')\n\n super().__init__(nullable=nullable)\n self.names = names\n self.types = types\n\n @classmethod\n def from_tuples(\n cls,\n pairs: Sequence[tuple[str, str | DataType]],\n nullable: bool = True,\n ) -> Struct:\n names, types = zip(*pairs)\n return cls(list(names), list(map(dtype, types)), nullable=nullable)\n\n @classmethod\n def from_dict(\n cls,\n pairs: Mapping[str, str | DataType],\n nullable: bool = True,\n ) -> Struct:\n names, types = pairs.keys(), pairs.values()\n return cls(list(names), list(map(dtype, types)), nullable=nullable)\n\n @property\n def pairs(self) -> Mapping:\n return collections.OrderedDict(zip(self.names, self.types))\n\n def __getitem__(self, key: str) -> DataType:\n return self.pairs[key]\n\n def __hash__(self) -> int:\n return hash(\n (type(self), tuple(self.names), tuple(self.types), self.nullable)\n )\n\n def __repr__(self) -> str:\n return '{}({}, nullable={})'.format(\n self.name, list(self.pairs.items()), self.nullable\n )\n\n def __str__(self) -> str:\n return '{}<{}>'.format(\n self.name.lower(),\n ', '.join(itertools.starmap('{}: {}'.format, self.pairs.items())),\n )\n\n def _literal_value_hash_key(self, value):\n return self, _tuplize(value.items())\n\n\ndef _tuplize(values):\n \"\"\"Recursively convert `values` to a tuple of tuples.\"\"\"\n\n def tuplize_iter(values):\n yield from (\n tuple(tuplize_iter(value)) if util.is_iterable(value) else value\n for value in values\n )\n\n return tuple(tuplize_iter(values))\n\n\nclass Array(Variadic):\n scalar = ir.ArrayScalar\n column = ir.ArrayColumn\n\n __slots__ = ('value_type',)\n\n def __init__(\n self, value_type: str | DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.value_type = dtype(value_type)\n\n def __str__(self) -> str:\n return f'{self.name.lower()}<{self.value_type}>'\n\n def _literal_value_hash_key(self, value):\n return self, _tuplize(value)\n\n\nclass Set(Variadic):\n scalar = ir.SetScalar\n column = ir.SetColumn\n\n __slots__ = ('value_type',)\n\n def __init__(\n self, value_type: str | DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.value_type = dtype(value_type)\n\n def __str__(self) -> str:\n return f'{self.name.lower()}<{self.value_type}>'\n\n\nclass Enum(DataType):\n scalar = ir.EnumScalar\n column = ir.EnumColumn\n\n __slots__ = 'rep_type', 'value_type'\n\n def __init__(\n self, rep_type: DataType, value_type: DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.rep_type = dtype(rep_type)\n self.value_type = dtype(value_type)\n\n\nclass Map(Variadic):\n scalar = ir.MapScalar\n column = ir.MapColumn\n\n __slots__ = 'key_type', 'value_type'\n\n def __init__(\n self, key_type: DataType, value_type: DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.key_type = dtype(key_type)\n self.value_type = dtype(value_type)\n\n def __str__(self) -> str:\n return '{}<{}, {}>'.format(\n self.name.lower(), self.key_type, self.value_type\n )\n\n def _literal_value_hash_key(self, value):\n return self, _tuplize(value.items())\n\n\nclass JSON(String):\n \"\"\"JSON (JavaScript Object Notation) text format.\"\"\"\n\n scalar = ir.JSONScalar\n column = ir.JSONColumn\n\n\nclass JSONB(Binary):\n \"\"\"JSON (JavaScript Object Notation) data stored as a binary\n representation, which eliminates whitespace, duplicate keys,\n and key ordering.\n \"\"\"\n\n scalar = ir.JSONBScalar\n column = ir.JSONBColumn\n\n\nclass GeoSpatial(DataType):\n __slots__ = 'geotype', 'srid'\n\n column = ir.GeoSpatialColumn\n scalar = ir.GeoSpatialScalar\n\n def __init__(\n self, geotype: str = None, srid: int = None, nullable: bool = True\n ):\n \"\"\"Geospatial data type base class\n\n Parameters\n ----------\n geotype : str\n Specification of geospatial type which could be `geography` or\n `geometry`.\n srid : int\n Spatial Reference System Identifier\n nullable : bool, optional\n Whether the struct can be null\n \"\"\"\n super().__init__(nullable=nullable)\n\n if geotype not in (None, 'geometry', 'geography'):\n raise ValueError(\n 'The `geotype` parameter should be `geometry` or `geography`'\n )\n\n self.geotype = geotype\n self.srid = srid\n\n def __str__(self) -> str:\n geo_op = self.name.lower()\n if self.geotype is not None:\n geo_op += ':' + self.geotype\n if self.srid is not None:\n geo_op += ';' + str(self.srid)\n return geo_op\n\n def _literal_value_hash_key(self, value):\n if IS_SHAPELY_AVAILABLE:\n geo_shapes = (\n shapely.geometry.Point,\n shapely.geometry.LineString,\n shapely.geometry.Polygon,\n shapely.geometry.MultiLineString,\n shapely.geometry.MultiPoint,\n shapely.geometry.MultiPolygon,\n )\n if isinstance(value, geo_shapes):\n return self, value.wkt\n return self, value\n\n\nclass Geometry(GeoSpatial):\n \"\"\"Geometry is used to cast from geography types.\"\"\"\n\n column = ir.GeoSpatialColumn\n scalar = ir.GeoSpatialScalar\n\n __slots__ = ()\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.geotype = 'geometry'\n\n def __str__(self) -> str:\n return self.name.lower()\n\n\nclass Geography(GeoSpatial):\n \"\"\"Geography is used to cast from geometry types.\"\"\"\n\n column = ir.GeoSpatialColumn\n scalar = ir.GeoSpatialScalar\n\n __slots__ = ()\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.geotype = 'geography'\n\n def __str__(self) -> str:\n return self.name.lower()\n\n\nclass Point(GeoSpatial):\n \"\"\"A point described by two coordinates.\"\"\"\n\n scalar = ir.PointScalar\n column = ir.PointColumn\n\n __slots__ = ()\n\n\nclass LineString(GeoSpatial):\n \"\"\"A sequence of 2 or more points.\"\"\"\n\n scalar = ir.LineStringScalar\n column = ir.LineStringColumn\n\n __slots__ = ()\n\n\nclass Polygon(GeoSpatial):\n \"\"\"A set of one or more rings (closed line strings), with the first\n representing the shape (external ring) and the rest representing holes in\n that shape (internal rings).\n \"\"\"\n\n scalar = ir.PolygonScalar\n column = ir.PolygonColumn\n\n __slots__ = ()\n\n\nclass MultiLineString(GeoSpatial):\n \"\"\"A set of one or more line strings.\"\"\"\n\n scalar = ir.MultiLineStringScalar\n column = ir.MultiLineStringColumn\n\n __slots__ = ()\n\n\nclass MultiPoint(GeoSpatial):\n \"\"\"A set of one or more points.\"\"\"\n\n scalar = ir.MultiPointScalar\n column = ir.MultiPointColumn\n\n __slots__ = ()\n\n\nclass MultiPolygon(GeoSpatial):\n \"\"\"A set of one or more polygons.\"\"\"\n\n scalar = ir.MultiPolygonScalar\n column = ir.MultiPolygonColumn\n\n __slots__ = ()\n\n\nclass UUID(String):\n \"\"\"A universally unique identifier (UUID) is a 128-bit number used to\n identify information in computer systems.\n \"\"\"\n\n scalar = ir.UUIDScalar\n column = ir.UUIDColumn\n\n __slots__ = ()\n\n\nclass MACADDR(String):\n \"\"\"Media Access Control (MAC) Address of a network interface.\"\"\"\n\n scalar = ir.MACADDRScalar\n column = ir.MACADDRColumn\n\n __slots__ = ()\n\n\nclass INET(String):\n \"\"\"IP address type.\"\"\"\n\n scalar = ir.INETScalar\n column = ir.INETColumn\n\n __slots__ = ()\n\n\n# ---------------------------------------------------------------------\nany = Any()\nnull = Null()\nboolean = Boolean()\nint_ = Integer()\nint8 = Int8()\nint16 = Int16()\nint32 = Int32()\nint64 = Int64()\nuint_ = UnsignedInteger()\nuint8 = UInt8()\nuint16 = UInt16()\nuint32 = UInt32()\nuint64 = UInt64()\nfloat = Float()\nhalffloat = Halffloat()\nfloat16 = Halffloat()\nfloat32 = Float32()\nfloat64 = Float64()\ndouble = Double()\nstring = String()\nbinary = Binary()\ndate = Date()\ntime = Time()\ntimestamp = Timestamp()\ninterval = Interval()\ncategory = Category()\n# geo spatial data type\ngeometry = GeoSpatial()\ngeography = GeoSpatial()\npoint = Point()\nlinestring = LineString()\npolygon = Polygon()\nmultilinestring = MultiLineString()\nmultipoint = MultiPoint()\nmultipolygon = MultiPolygon()\n# json\njson = JSON()\njsonb = JSONB()\n# special string based data type\nuuid = UUID()\nmacaddr = MACADDR()\ninet = INET()\n\n\n_STRING_REGEX = \"\"\"('[^\\n'\\\\\\\\]*(?:\\\\\\\\.[^\\n'\\\\\\\\]*)*'|\"[^\\n\"\\\\\\\\\"]*(?:\\\\\\\\.[^\\n\"\\\\\\\\]*)*\")\"\"\" # noqa: E501\n\n_SPACES = p.regex(r'\\s*', re.MULTILINE)\n\n\ndef spaceless(parser):\n return _SPACES.then(parser).skip(_SPACES)\n\n\ndef spaceless_string(s: str):\n return spaceless(p.string(s, transform=str.lower))\n\n\ndef parse_type(text: str) -> DataType:\n precision = scale = srid = p.digit.at_least(1).concat().map(int)\n\n lparen = spaceless_string(\"(\")\n rparen = spaceless_string(\")\")\n\n langle = spaceless_string(\"<\")\n rangle = spaceless_string(\">\")\n\n comma = spaceless_string(\",\")\n colon = spaceless_string(\":\")\n semicolon = spaceless_string(\";\")\n\n raw_string = p.regex(_STRING_REGEX).map(ast.literal_eval)\n\n geotype = spaceless_string(\"geography\") | spaceless_string(\"geometry\")\n\n @p.generate\n def srid_geotype():\n yield semicolon\n sr = yield srid\n yield colon\n gt = yield geotype\n return (gt, sr)\n\n @p.generate\n def geotype_part():\n yield colon\n gt = yield geotype\n return (gt, None)\n\n @p.generate\n def srid_part():\n yield semicolon\n sr = yield srid\n return (None, sr)\n\n def geotype_parser(name, type):\n name_parser = spaceless_string(name)\n geosubtype_parser = srid_geotype | geotype_part | srid_part\n\n @p.generate\n def parser():\n yield name_parser\n sr_gt = yield geosubtype_parser.optional()\n return type(*sr_gt) if sr_gt is not None else type()\n\n return parser\n\n primitive = (\n spaceless_string(\"any\").result(any)\n | spaceless_string(\"null\").result(null)\n | spaceless_string(\"boolean\").result(boolean)\n | spaceless_string(\"bool\").result(boolean)\n | spaceless_string(\"int8\").result(int8)\n | spaceless_string(\"int16\").result(int16)\n | spaceless_string(\"int32\").result(int32)\n | spaceless_string(\"int64\").result(int64)\n | spaceless_string(\"uint8\").result(uint8)\n | spaceless_string(\"uint16\").result(uint16)\n | spaceless_string(\"uint32\").result(uint32)\n | spaceless_string(\"uint64\").result(uint64)\n | spaceless_string(\"halffloat\").result(halffloat)\n | spaceless_string(\"double\").result(double)\n | spaceless_string(\"float16\").result(float16)\n | spaceless_string(\"float32\").result(float32)\n | spaceless_string(\"float64\").result(float64)\n | spaceless_string(\"float\").result(float)\n | spaceless_string(\"string\").result(string)\n | spaceless_string(\"binary\").result(binary)\n | spaceless_string(\"timestamp\").result(Timestamp())\n | spaceless_string(\"time\").result(time)\n | spaceless_string(\"date\").result(date)\n | spaceless_string(\"category\").result(category)\n | spaceless_string(\"geometry\").result(GeoSpatial(geotype='geometry'))\n | spaceless_string(\"geography\").result(GeoSpatial(geotype='geography'))\n | geotype_parser(\"linestring\", LineString)\n | geotype_parser(\"polygon\", Polygon)\n | geotype_parser(\"point\", Point)\n | geotype_parser(\"multilinestring\", MultiLineString)\n | geotype_parser(\"multipolygon\", MultiPolygon)\n | geotype_parser(\"multipoint\", MultiPoint)\n )\n\n @p.generate\n def varchar_or_char():\n yield p.alt(\n spaceless_string(\"varchar\"), spaceless_string(\"char\")\n ).then(\n lparen.then(p.digit.at_least(1).concat()).skip(rparen).optional()\n )\n return String()\n\n @p.generate\n def decimal():\n yield spaceless_string(\"decimal\")\n prec_scale = (\n yield lparen.then(\n p.seq(precision.skip(comma), scale).combine(\n lambda prec, scale: (prec, scale)\n )\n )\n .skip(rparen)\n .optional()\n ) or (9, 0)\n return Decimal(*prec_scale)\n\n @p.generate\n def parened_string():\n yield lparen\n s = yield raw_string\n yield rparen\n return s\n\n @p.generate\n def timestamp():\n yield spaceless_string(\"timestamp\")\n tz = yield parened_string\n return Timestamp(tz)\n\n @p.generate\n def angle_type():\n yield langle\n value_type = yield ty\n yield rangle\n return value_type\n\n @p.generate\n def interval():\n yield spaceless_string(\"interval\")\n value_type = yield angle_type.optional()\n un = yield parened_string.optional()\n return Interval(\n value_type=value_type, unit=un if un is not None else 's'\n )\n\n @p.generate\n def array():\n yield spaceless_string(\"array\")\n value_type = yield angle_type\n return Array(value_type)\n\n @p.generate\n def set():\n yield spaceless_string(\"set\")\n value_type = yield angle_type\n return Set(value_type)\n\n @p.generate\n def map():\n yield spaceless_string(\"map\")\n yield langle\n key_type = yield primitive\n yield comma\n value_type = yield ty\n yield rangle\n return Map(key_type, value_type)\n\n field = spaceless(p.regex(\"[a-zA-Z_][a-zA-Z_0-9]*\"))\n\n @p.generate\n def struct():\n yield spaceless_string(\"struct\")\n yield langle\n field_names_types = yield (\n p.seq(field.skip(colon), ty)\n .combine(lambda field, ty: (field, ty))\n .sep_by(comma)\n )\n yield rangle\n return Struct.from_tuples(field_names_types)\n\n ty = (\n timestamp\n | primitive\n | decimal\n | varchar_or_char\n | interval\n | array\n | set\n | map\n | struct\n | spaceless_string(\"jsonb\").result(jsonb)\n | spaceless_string(\"json\").result(json)\n | spaceless_string(\"uuid\").result(uuid)\n | spaceless_string(\"macaddr\").result(macaddr)\n | spaceless_string(\"inet\").result(inet)\n | spaceless_string(\"geography\").result(geography)\n | spaceless_string(\"geometry\").result(geometry)\n )\n\n return ty.parse(text)\n\n\ndtype = Dispatcher('dtype')\n\nvalidate_type = dtype\n\n\ndef _get_timedelta_units(\n timedelta: datetime.timedelta | pd.Timedelta,\n) -> list[str]:\n # pandas Timedelta has more granularity\n if isinstance(timedelta, pd.Timedelta):\n unit_fields = timedelta.components._fields\n base_object = timedelta.components\n # datetime.timedelta only stores days, seconds, and microseconds internally\n else:\n unit_fields = ['days', 'seconds', 'microseconds']\n base_object = timedelta\n\n time_units = [\n field for field in unit_fields if getattr(base_object, field) > 0\n ]\n return time_units\n\n\[email protected](object)\ndef default(value, **kwargs) -> DataType:\n raise com.IbisTypeError(f'Value {value!r} is not a valid datatype')\n\n\[email protected](DataType)\ndef from_ibis_dtype(value: DataType) -> DataType:\n return value\n\n\[email protected](str)\ndef from_string(value: str) -> DataType:\n try:\n return parse_type(value)\n except SyntaxError:\n raise com.IbisTypeError(f'{value!r} cannot be parsed as a datatype')\n\n\[email protected](list)\ndef from_list(values: list[typing.Any]) -> Array:\n if not values:\n return Array(null)\n return Array(highest_precedence(map(dtype, values)))\n\n\[email protected](collections.abc.Set)\ndef from_set(values: set) -> Set:\n if not values:\n return Set(null)\n return Set(highest_precedence(map(dtype, values)))\n\n\ninfer = Dispatcher('infer')\n\n\ndef higher_precedence(left: DataType, right: DataType) -> DataType:\n if castable(left, right, upcast=True):\n return right\n elif castable(right, left, upcast=True):\n return left\n\n raise com.IbisTypeError(\n f'Cannot compute precedence for {left} and {right} types'\n )\n\n\ndef highest_precedence(dtypes: Iterator[DataType]) -> DataType:\n \"\"\"Compute the highest precedence of `dtypes`.\"\"\"\n return functools.reduce(higher_precedence, dtypes)\n\n\[email protected](object)\ndef infer_dtype_default(value: typing.Any) -> DataType:\n \"\"\"Default implementation of :func:`~ibis.expr.datatypes.infer`.\"\"\"\n raise com.InputTypeError(value)\n\n\[email protected](collections.OrderedDict)\ndef infer_struct(value: Mapping[str, typing.Any]) -> Struct:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Struct` type of `value`.\"\"\"\n if not value:\n raise TypeError('Empty struct type not supported')\n return Struct(list(value.keys()), list(map(infer, value.values())))\n\n\[email protected](collections.abc.Mapping)\ndef infer_map(value: Mapping[typing.Any, typing.Any]) -> Map:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Map` type of `value`.\"\"\"\n if not value:\n return Map(null, null)\n return Map(\n highest_precedence(map(infer, value.keys())),\n highest_precedence(map(infer, value.values())),\n )\n\n\[email protected](list)\ndef infer_list(values: list[typing.Any]) -> Array:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Array` type of `values`.\"\"\"\n if not values:\n return Array(null)\n return Array(highest_precedence(map(infer, values)))\n\n\[email protected]((set, frozenset))\ndef infer_set(values: set) -> Set:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Set` type of `values`.\"\"\"\n if not values:\n return Set(null)\n return Set(highest_precedence(map(infer, values)))\n\n\[email protected](datetime.time)\ndef infer_time(value: datetime.time) -> Time:\n return time\n\n\[email protected](datetime.date)\ndef infer_date(value: datetime.date) -> Date:\n return date\n\n\[email protected](datetime.datetime)\ndef infer_timestamp(value: datetime.datetime) -> Timestamp:\n if value.tzinfo:\n return Timestamp(timezone=str(value.tzinfo))\n else:\n return timestamp\n\n\[email protected](datetime.timedelta)\ndef infer_interval(value: datetime.timedelta) -> Interval:\n time_units = _get_timedelta_units(value)\n # we can attempt a conversion in the simplest case, i.e. there is exactly\n # one unit (e.g. pd.Timedelta('2 days') vs. pd.Timedelta('2 days 3 hours')\n if len(time_units) == 1:\n unit = time_units[0]\n return Interval(unit)\n else:\n return interval\n\n\[email protected](str)\ndef infer_string(value: str) -> String:\n return string\n\n\[email protected](builtins.float)\ndef infer_floating(value: builtins.float) -> Double:\n return double\n\n\[email protected](int)\ndef infer_integer(value: int, allow_overflow: bool = False) -> Integer:\n for dtype in (int8, int16, int32, int64):\n if dtype.bounds.lower <= value <= dtype.bounds.upper:\n return dtype\n\n if not allow_overflow:\n raise OverflowError(value)\n\n return int64\n\n\[email protected](enum.Enum)\ndef infer_enum(value: enum.Enum) -> Enum:\n return Enum(\n infer(value.name),\n infer(value.value),\n )\n\n\[email protected](bool)\ndef infer_boolean(value: bool) -> Boolean:\n return boolean\n\n\[email protected]((type(None), Null))\ndef infer_null(value: Null | None) -> Null:\n return null\n\n\nif IS_SHAPELY_AVAILABLE:\n\n @infer.register(shapely.geometry.Point)\n def infer_shapely_point(value: shapely.geometry.Point) -> Point:\n return point\n\n @infer.register(shapely.geometry.LineString)\n def infer_shapely_linestring(\n value: shapely.geometry.LineString,\n ) -> LineString:\n return linestring\n\n @infer.register(shapely.geometry.Polygon)\n def infer_shapely_polygon(value: shapely.geometry.Polygon) -> Polygon:\n return polygon\n\n @infer.register(shapely.geometry.MultiLineString)\n def infer_shapely_multilinestring(\n value: shapely.geometry.MultiLineString,\n ) -> MultiLineString:\n return multilinestring\n\n @infer.register(shapely.geometry.MultiPoint)\n def infer_shapely_multipoint(\n value: shapely.geometry.MultiPoint,\n ) -> MultiPoint:\n return multipoint\n\n @infer.register(shapely.geometry.MultiPolygon)\n def infer_shapely_multipolygon(\n value: shapely.geometry.MultiPolygon,\n ) -> MultiPolygon:\n return multipolygon\n\n\ncastable = Dispatcher('castable')\n\n\[email protected](DataType, DataType)\ndef can_cast_subtype(source: DataType, target: DataType, **kwargs) -> bool:\n return isinstance(target, type(source))\n\n\[email protected](Any, DataType)\[email protected](DataType, Any)\[email protected](Any, Any)\[email protected](Null, Any)\[email protected](Integer, Category)\[email protected](Integer, (Floating, Decimal))\[email protected](Floating, Decimal)\[email protected]((Date, Timestamp), (Date, Timestamp))\ndef can_cast_any(source: DataType, target: DataType, **kwargs) -> bool:\n return True\n\n\[email protected](Null, DataType)\ndef can_cast_null(source: DataType, target: DataType, **kwargs) -> bool:\n return target.nullable\n\n\nIntegral = TypeVar('Integral', SignedInteger, UnsignedInteger)\n\n\[email protected](SignedInteger, UnsignedInteger)\[email protected](UnsignedInteger, SignedInteger)\ndef can_cast_to_differently_signed_integer_type(\n source: Integral, target: Integral, value: int | None = None, **kwargs\n) -> bool:\n if value is None:\n return False\n bounds = target.bounds\n return bounds.lower <= value <= bounds.upper\n\n\[email protected](SignedInteger, SignedInteger)\[email protected](UnsignedInteger, UnsignedInteger)\ndef can_cast_integers(source: Integral, target: Integral, **kwargs) -> bool:\n return target._nbytes >= source._nbytes\n\n\[email protected](Floating, Floating)\ndef can_cast_floats(\n source: Floating, target: Floating, upcast: bool = False, **kwargs\n) -> bool:\n if upcast:\n return target._nbytes >= source._nbytes\n\n # double -> float must be allowed because\n # float literals are inferred as doubles\n return True\n\n\[email protected](Decimal, Decimal)\ndef can_cast_decimals(source: Decimal, target: Decimal, **kwargs) -> bool:\n return (\n target.precision >= source.precision and target.scale >= source.scale\n )\n\n\[email protected](Interval, Interval)\ndef can_cast_intervals(source: Interval, target: Interval, **kwargs) -> bool:\n return source.unit == target.unit and castable(\n source.value_type, target.value_type\n )\n\n\[email protected](Integer, Boolean)\ndef can_cast_integer_to_boolean(\n source: Integer, target: Boolean, value: int | None = None, **kwargs\n) -> bool:\n return value is not None and (value == 0 or value == 1)\n\n\[email protected](Integer, Interval)\ndef can_cast_integer_to_interval(\n source: Interval, target: Interval, **kwargs\n) -> bool:\n return castable(source, target.value_type)\n\n\[email protected](String, (Date, Time, Timestamp))\ndef can_cast_string_to_temporal(\n source: String,\n target: Date | Time | Timestamp,\n value: str | None = None,\n **kwargs,\n) -> bool:\n if value is None:\n return False\n try:\n pd.Timestamp(value)\n except ValueError:\n return False\n else:\n return True\n\n\nCollection = TypeVar('Collection', Array, Set)\n\n\[email protected](Array, Array)\[email protected](Set, Set)\ndef can_cast_variadic(\n source: Collection, target: Collection, **kwargs\n) -> bool:\n return castable(source.value_type, target.value_type)\n\n\[email protected](JSON, JSON)\ndef can_cast_json(source, target, **kwargs):\n return True\n\n\[email protected](JSONB, JSONB)\ndef can_cast_jsonb(source, target, **kwargs):\n return True\n\n\n# geo spatial data type\n# cast between same type, used to cast from/to geometry and geography\nGEO_TYPES = (\n Point,\n LineString,\n Polygon,\n MultiLineString,\n MultiPoint,\n MultiPolygon,\n)\n\n\[email protected](Array, GEO_TYPES)\[email protected](GEO_TYPES, Geometry)\[email protected](GEO_TYPES, Geography)\ndef can_cast_geospatial(source, target, **kwargs):\n return True\n\n\[email protected](UUID, UUID)\[email protected](MACADDR, MACADDR)\[email protected](INET, INET)\ndef can_cast_special_string(source, target, **kwargs):\n return True\n\n\n# @castable.register(Map, Map)\n# def can_cast_maps(source, target):\n# return (source.equals(target) or\n# source.equals(Map(null, null)) or\n# source.equals(Map(any, any)))\n# TODO cast category\n\n\ndef cast(source: DataType | str, target: DataType | str, **kwargs) -> DataType:\n \"\"\"Attempts to implicitly cast from source dtype to target dtype\"\"\"\n source, result_target = dtype(source), dtype(target)\n\n if not castable(source, result_target, **kwargs):\n raise com.IbisTypeError(\n 'Datatype {} cannot be implicitly '\n 'casted to {}'.format(source, result_target)\n )\n return result_target\n\n\nsame_kind = Dispatcher(\n 'same_kind',\n doc=\"\"\"\\\nCompute whether two :class:`~ibis.expr.datatypes.DataType` instances are the\nsame kind.\n\nParameters\n----------\na : DataType\nb : DataType\n\nReturns\n-------\nbool\n Whether two :class:`~ibis.expr.datatypes.DataType` instances are the same\n kind.\n\"\"\",\n)\n\n\n@same_kind.register(DataType, DataType)\ndef same_kind_default(a: DataType, b: DataType) -> bool:\n \"\"\"Return whether `a` is exactly equiavlent to `b`\"\"\"\n return a.equals(b)\n\n\nNumeric = TypeVar('Numeric', Integer, Floating)\n\n\n@same_kind.register(Integer, Integer)\n@same_kind.register(Floating, Floating)\ndef same_kind_numeric(a: Numeric, b: Numeric) -> bool:\n \"\"\"Return ``True``.\"\"\"\n return True\n\n\n@same_kind.register(DataType, Null)\ndef same_kind_right_null(a: DataType, _: Null) -> bool:\n \"\"\"Return whether `a` is nullable.\"\"\"\n return a.nullable\n\n\n@same_kind.register(Null, DataType)\ndef same_kind_left_null(_: Null, b: DataType) -> bool:\n \"\"\"Return whether `b` is nullable.\"\"\"\n return b.nullable\n\n\n@same_kind.register(Null, Null)\ndef same_kind_both_null(a: Null, b: Null) -> bool:\n \"\"\"Return ``True``.\"\"\"\n return True\n", "path": "ibis/expr/datatypes.py" } ]
[ { "content": "from __future__ import annotations\n\nimport ast\nimport builtins\nimport collections\nimport datetime\nimport enum\nimport functools\nimport itertools\nimport numbers\nimport re\nimport typing\nfrom typing import Iterator, Mapping, NamedTuple, Sequence, TypeVar\n\nimport pandas as pd\nimport parsy as p\nimport toolz\nfrom multipledispatch import Dispatcher\n\nimport ibis.common.exceptions as com\nimport ibis.expr.types as ir\nfrom ibis import util\n\nIS_SHAPELY_AVAILABLE = False\ntry:\n import shapely.geometry\n\n IS_SHAPELY_AVAILABLE = True\nexcept ImportError:\n ...\n\n\nclass DataType:\n\n __slots__ = ('nullable',)\n\n def __init__(self, nullable: bool = True, **kwargs) -> None:\n self.nullable = nullable\n\n def __call__(self, nullable: bool = True) -> DataType:\n if nullable is not True and nullable is not False:\n raise TypeError(\n \"__call__ only accepts the 'nullable' argument. \"\n \"Please construct a new instance of the type to change the \"\n \"values of the attributes.\"\n )\n return self._factory(nullable=nullable)\n\n def _factory(self, nullable: bool = True) -> DataType:\n slots = {\n slot: getattr(self, slot)\n for slot in self.__slots__\n if slot != 'nullable'\n }\n return type(self)(nullable=nullable, **slots)\n\n def __eq__(self, other) -> bool:\n return self.equals(other)\n\n def __ne__(self, other) -> bool:\n return not (self == other)\n\n def __hash__(self) -> int:\n custom_parts = tuple(\n getattr(self, slot)\n for slot in toolz.unique(self.__slots__ + ('nullable',))\n )\n return hash((type(self),) + custom_parts)\n\n def __repr__(self) -> str:\n return '{}({})'.format(\n self.name,\n ', '.join(\n f'{slot}={getattr(self, slot)!r}'\n for slot in toolz.unique(self.__slots__ + ('nullable',))\n ),\n )\n\n def __str__(self) -> str:\n return '{}{}'.format(\n self.name.lower(), '[non-nullable]' if not self.nullable else ''\n )\n\n @property\n def name(self) -> str:\n return type(self).__name__\n\n def equals(\n self,\n other: DataType,\n cache: Mapping[typing.Any, bool] | None = None,\n ) -> bool:\n if isinstance(other, str):\n raise TypeError(\n 'Comparing datatypes to strings is not allowed. Convert '\n '{!r} to the equivalent DataType instance.'.format(other)\n )\n return (\n isinstance(other, type(self))\n and self.nullable == other.nullable\n and self.__slots__ == other.__slots__\n and all(\n getattr(self, slot) == getattr(other, slot)\n for slot in self.__slots__\n )\n )\n\n def castable(self, target, **kwargs):\n return castable(self, target, **kwargs)\n\n def cast(self, target, **kwargs):\n return cast(self, target, **kwargs)\n\n def scalar_type(self):\n return functools.partial(self.scalar, dtype=self)\n\n def column_type(self):\n return functools.partial(self.column, dtype=self)\n\n def _literal_value_hash_key(self, value) -> tuple[DataType, typing.Any]:\n \"\"\"Return a hash for `value`.\"\"\"\n return self, value\n\n\nclass Any(DataType):\n __slots__ = ()\n\n\nclass Primitive(DataType):\n __slots__ = ()\n\n def __repr__(self) -> str:\n name = self.name.lower()\n if not self.nullable:\n return f'{name}[non-nullable]'\n return name\n\n\nclass Null(DataType):\n scalar = ir.NullScalar\n column = ir.NullColumn\n\n __slots__ = ()\n\n\nclass Variadic(DataType):\n __slots__ = ()\n\n\nclass Boolean(Primitive):\n scalar = ir.BooleanScalar\n column = ir.BooleanColumn\n\n __slots__ = ()\n\n\nclass Bounds(NamedTuple):\n lower: int\n upper: int\n\n\nclass Integer(Primitive):\n scalar = ir.IntegerScalar\n column = ir.IntegerColumn\n\n __slots__ = ()\n\n @property\n def _nbytes(self) -> int:\n raise TypeError(\n \"Cannot determine the size in bytes of an abstract integer type.\"\n )\n\n\nclass String(Variadic):\n \"\"\"A type representing a string.\n\n Notes\n -----\n Because of differences in the way different backends handle strings, we\n cannot assume that strings are UTF-8 encoded.\n \"\"\"\n\n scalar = ir.StringScalar\n column = ir.StringColumn\n\n __slots__ = ()\n\n\nclass Binary(Variadic):\n \"\"\"A type representing a blob of bytes.\n\n Notes\n -----\n Some databases treat strings and blobs of equally, and some do not. For\n example, Impala doesn't make a distinction between string and binary types\n but PostgreSQL has a TEXT type and a BYTEA type which are distinct types\n that behave differently.\n \"\"\"\n\n scalar = ir.BinaryScalar\n column = ir.BinaryColumn\n\n __slots__ = ()\n\n\nclass Date(Primitive):\n scalar = ir.DateScalar\n column = ir.DateColumn\n\n __slots__ = ()\n\n\nclass Time(Primitive):\n scalar = ir.TimeScalar\n column = ir.TimeColumn\n\n __slots__ = ()\n\n\nclass Timestamp(DataType):\n scalar = ir.TimestampScalar\n column = ir.TimestampColumn\n\n __slots__ = ('timezone',)\n\n def __init__(\n self, timezone: str | None = None, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.timezone = timezone\n\n def __str__(self) -> str:\n timezone = self.timezone\n typename = self.name.lower()\n if timezone is None:\n return typename\n return f'{typename}({timezone!r})'\n\n\nclass SignedInteger(Integer):\n @property\n def largest(self):\n return int64\n\n @property\n def bounds(self):\n exp = self._nbytes * 8 - 1\n upper = (1 << exp) - 1\n return Bounds(lower=~upper, upper=upper)\n\n\nclass UnsignedInteger(Integer):\n @property\n def largest(self):\n return uint64\n\n @property\n def bounds(self):\n exp = self._nbytes * 8 - 1\n upper = 1 << exp\n return Bounds(lower=0, upper=upper)\n\n\nclass Floating(Primitive):\n scalar = ir.FloatingScalar\n column = ir.FloatingColumn\n\n __slots__ = ()\n\n @property\n def largest(self):\n return float64\n\n @property\n def _nbytes(self) -> int:\n raise TypeError(\n \"Cannot determine the size in bytes of an abstract floating \"\n \"point type.\"\n )\n\n\nclass Int8(SignedInteger):\n __slots__ = ()\n _nbytes = 1\n\n\nclass Int16(SignedInteger):\n __slots__ = ()\n _nbytes = 2\n\n\nclass Int32(SignedInteger):\n __slots__ = ()\n _nbytes = 4\n\n\nclass Int64(SignedInteger):\n __slots__ = ()\n _nbytes = 8\n\n\nclass UInt8(UnsignedInteger):\n __slots__ = ()\n _nbytes = 1\n\n\nclass UInt16(UnsignedInteger):\n __slots__ = ()\n _nbytes = 2\n\n\nclass UInt32(UnsignedInteger):\n __slots__ = ()\n _nbytes = 4\n\n\nclass UInt64(UnsignedInteger):\n __slots__ = ()\n _nbytes = 8\n\n\nclass Float16(Floating):\n __slots__ = ()\n _nbytes = 2\n\n\nclass Float32(Floating):\n __slots__ = ()\n _nbytes = 4\n\n\nclass Float64(Floating):\n __slots__ = ()\n _nbytes = 8\n\n\nHalffloat = Float16\nFloat = Float32\nDouble = Float64\n\n\nclass Decimal(DataType):\n scalar = ir.DecimalScalar\n column = ir.DecimalColumn\n\n __slots__ = 'precision', 'scale'\n\n def __init__(\n self, precision: int, scale: int, nullable: bool = True\n ) -> None:\n if not isinstance(precision, numbers.Integral):\n raise TypeError('Decimal type precision must be an integer')\n if not isinstance(scale, numbers.Integral):\n raise TypeError('Decimal type scale must be an integer')\n if precision < 0:\n raise ValueError('Decimal type precision cannot be negative')\n if not precision:\n raise ValueError('Decimal type precision cannot be zero')\n if scale < 0:\n raise ValueError('Decimal type scale cannot be negative')\n if precision < scale:\n raise ValueError(\n 'Decimal type precision must be greater than or equal to '\n 'scale. Got precision={:d} and scale={:d}'.format(\n precision, scale\n )\n )\n\n super().__init__(nullable=nullable)\n self.precision = precision # type: int\n self.scale = scale # type: int\n\n def __str__(self) -> str:\n return '{}({:d}, {:d})'.format(\n self.name.lower(), self.precision, self.scale\n )\n\n @property\n def largest(self) -> Decimal:\n return Decimal(38, self.scale)\n\n\nclass Interval(DataType):\n scalar = ir.IntervalScalar\n column = ir.IntervalColumn\n\n __slots__ = 'value_type', 'unit'\n\n # based on numpy's units\n _units = {\n 'Y': 'year',\n 'Q': 'quarter',\n 'M': 'month',\n 'W': 'week',\n 'D': 'day',\n 'h': 'hour',\n 'm': 'minute',\n 's': 'second',\n 'ms': 'millisecond',\n 'us': 'microsecond',\n 'ns': 'nanosecond',\n }\n\n _timedelta_to_interval_units = {\n 'days': 'D',\n 'hours': 'h',\n 'minutes': 'm',\n 'seconds': 's',\n 'milliseconds': 'ms',\n 'microseconds': 'us',\n 'nanoseconds': 'ns',\n }\n\n def _convert_timedelta_unit_to_interval_unit(self, unit: str):\n if unit not in self._timedelta_to_interval_units:\n raise ValueError\n return self._timedelta_to_interval_units[unit]\n\n def __init__(\n self,\n unit: str = 's',\n value_type: Integer = None,\n nullable: bool = True,\n ) -> None:\n super().__init__(nullable=nullable)\n if unit not in self._units:\n try:\n unit = self._convert_timedelta_unit_to_interval_unit(unit)\n except ValueError:\n raise ValueError(f'Unsupported interval unit `{unit}`')\n\n if value_type is None:\n value_type = int32\n else:\n value_type = dtype(value_type)\n\n if not isinstance(value_type, Integer):\n raise TypeError(\"Interval's inner type must be an Integer subtype\")\n\n self.unit = unit\n self.value_type = value_type\n\n @property\n def bounds(self):\n return self.value_type.bounds\n\n @property\n def resolution(self):\n \"\"\"Unit's name\"\"\"\n return self._units[self.unit]\n\n def __str__(self):\n unit = self.unit\n typename = self.name.lower()\n value_type_name = self.value_type.name.lower()\n return f'{typename}<{value_type_name}>(unit={unit!r})'\n\n\nclass Category(DataType):\n scalar = ir.CategoryScalar\n column = ir.CategoryColumn\n\n __slots__ = ('cardinality',)\n\n def __init__(self, cardinality=None, nullable=True):\n super().__init__(nullable=nullable)\n self.cardinality = cardinality\n\n def __repr__(self):\n if self.cardinality is not None:\n cardinality = self.cardinality\n else:\n cardinality = 'unknown'\n return f'{self.name}(cardinality={cardinality!r})'\n\n def to_integer_type(self):\n # TODO: this should be removed I guess\n if self.cardinality is None:\n return int64\n else:\n return infer(self.cardinality)\n\n\nclass Struct(DataType):\n scalar = ir.StructScalar\n column = ir.StructColumn\n\n __slots__ = 'names', 'types'\n\n def __init__(\n self, names: list[str], types: list[DataType], nullable: bool = True\n ) -> None:\n \"\"\"Construct a ``Struct`` type from a `names` and `types`.\n\n Parameters\n ----------\n names : Sequence[str]\n Sequence of strings indicating the name of each field in the\n struct.\n types : Sequence[Union[str, DataType]]\n Sequence of strings or :class:`~ibis.expr.datatypes.DataType`\n instances, one for each field\n nullable : bool, optional\n Whether the struct can be null\n \"\"\"\n if not (names and types):\n raise ValueError('names and types must not be empty')\n if len(names) != len(types):\n raise ValueError('names and types must have the same length')\n\n super().__init__(nullable=nullable)\n self.names = names\n self.types = types\n\n @classmethod\n def from_tuples(\n cls,\n pairs: Sequence[tuple[str, str | DataType]],\n nullable: bool = True,\n ) -> Struct:\n names, types = zip(*pairs)\n return cls(list(names), list(map(dtype, types)), nullable=nullable)\n\n @classmethod\n def from_dict(\n cls,\n pairs: Mapping[str, str | DataType],\n nullable: bool = True,\n ) -> Struct:\n names, types = pairs.keys(), pairs.values()\n return cls(list(names), list(map(dtype, types)), nullable=nullable)\n\n @property\n def pairs(self) -> Mapping:\n return collections.OrderedDict(zip(self.names, self.types))\n\n def __getitem__(self, key: str) -> DataType:\n return self.pairs[key]\n\n def __hash__(self) -> int:\n return hash(\n (type(self), tuple(self.names), tuple(self.types), self.nullable)\n )\n\n def __repr__(self) -> str:\n return '{}({}, nullable={})'.format(\n self.name, list(self.pairs.items()), self.nullable\n )\n\n def __str__(self) -> str:\n return '{}<{}>'.format(\n self.name.lower(),\n ', '.join(itertools.starmap('{}: {}'.format, self.pairs.items())),\n )\n\n def _literal_value_hash_key(self, value):\n return self, _tuplize(value.items())\n\n\ndef _tuplize(values):\n \"\"\"Recursively convert `values` to a tuple of tuples.\"\"\"\n\n def tuplize_iter(values):\n yield from (\n tuple(tuplize_iter(value)) if util.is_iterable(value) else value\n for value in values\n )\n\n return tuple(tuplize_iter(values))\n\n\nclass Array(Variadic):\n scalar = ir.ArrayScalar\n column = ir.ArrayColumn\n\n __slots__ = ('value_type',)\n\n def __init__(\n self, value_type: str | DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.value_type = dtype(value_type)\n\n def __str__(self) -> str:\n return f'{self.name.lower()}<{self.value_type}>'\n\n def _literal_value_hash_key(self, value):\n return self, _tuplize(value)\n\n\nclass Set(Variadic):\n scalar = ir.SetScalar\n column = ir.SetColumn\n\n __slots__ = ('value_type',)\n\n def __init__(\n self, value_type: str | DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.value_type = dtype(value_type)\n\n def __str__(self) -> str:\n return f'{self.name.lower()}<{self.value_type}>'\n\n\nclass Enum(DataType):\n scalar = ir.EnumScalar\n column = ir.EnumColumn\n\n __slots__ = 'rep_type', 'value_type'\n\n def __init__(\n self, rep_type: DataType, value_type: DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.rep_type = dtype(rep_type)\n self.value_type = dtype(value_type)\n\n\nclass Map(Variadic):\n scalar = ir.MapScalar\n column = ir.MapColumn\n\n __slots__ = 'key_type', 'value_type'\n\n def __init__(\n self, key_type: DataType, value_type: DataType, nullable: bool = True\n ) -> None:\n super().__init__(nullable=nullable)\n self.key_type = dtype(key_type)\n self.value_type = dtype(value_type)\n\n def __str__(self) -> str:\n return '{}<{}, {}>'.format(\n self.name.lower(), self.key_type, self.value_type\n )\n\n def _literal_value_hash_key(self, value):\n return self, _tuplize(value.items())\n\n\nclass JSON(String):\n \"\"\"JSON (JavaScript Object Notation) text format.\"\"\"\n\n scalar = ir.JSONScalar\n column = ir.JSONColumn\n\n\nclass JSONB(Binary):\n \"\"\"JSON (JavaScript Object Notation) data stored as a binary\n representation, which eliminates whitespace, duplicate keys,\n and key ordering.\n \"\"\"\n\n scalar = ir.JSONBScalar\n column = ir.JSONBColumn\n\n\nclass GeoSpatial(DataType):\n __slots__ = 'geotype', 'srid'\n\n column = ir.GeoSpatialColumn\n scalar = ir.GeoSpatialScalar\n\n def __init__(\n self, geotype: str = None, srid: int = None, nullable: bool = True\n ):\n \"\"\"Geospatial data type base class\n\n Parameters\n ----------\n geotype : str\n Specification of geospatial type which could be `geography` or\n `geometry`.\n srid : int\n Spatial Reference System Identifier\n nullable : bool, optional\n Whether the struct can be null\n \"\"\"\n super().__init__(nullable=nullable)\n\n if geotype not in (None, 'geometry', 'geography'):\n raise ValueError(\n 'The `geotype` parameter should be `geometry` or `geography`'\n )\n\n self.geotype = geotype\n self.srid = srid\n\n def __str__(self) -> str:\n geo_op = self.name.lower()\n if self.geotype is not None:\n geo_op += ':' + self.geotype\n if self.srid is not None:\n geo_op += ';' + str(self.srid)\n return geo_op\n\n def _literal_value_hash_key(self, value):\n if IS_SHAPELY_AVAILABLE:\n geo_shapes = (\n shapely.geometry.Point,\n shapely.geometry.LineString,\n shapely.geometry.Polygon,\n shapely.geometry.MultiLineString,\n shapely.geometry.MultiPoint,\n shapely.geometry.MultiPolygon,\n )\n if isinstance(value, geo_shapes):\n return self, value.wkt\n return self, value\n\n\nclass Geometry(GeoSpatial):\n \"\"\"Geometry is used to cast from geography types.\"\"\"\n\n column = ir.GeoSpatialColumn\n scalar = ir.GeoSpatialScalar\n\n __slots__ = ()\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.geotype = 'geometry'\n\n def __str__(self) -> str:\n return self.name.lower()\n\n\nclass Geography(GeoSpatial):\n \"\"\"Geography is used to cast from geometry types.\"\"\"\n\n column = ir.GeoSpatialColumn\n scalar = ir.GeoSpatialScalar\n\n __slots__ = ()\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.geotype = 'geography'\n\n def __str__(self) -> str:\n return self.name.lower()\n\n\nclass Point(GeoSpatial):\n \"\"\"A point described by two coordinates.\"\"\"\n\n scalar = ir.PointScalar\n column = ir.PointColumn\n\n __slots__ = ()\n\n\nclass LineString(GeoSpatial):\n \"\"\"A sequence of 2 or more points.\"\"\"\n\n scalar = ir.LineStringScalar\n column = ir.LineStringColumn\n\n __slots__ = ()\n\n\nclass Polygon(GeoSpatial):\n \"\"\"A set of one or more rings (closed line strings), with the first\n representing the shape (external ring) and the rest representing holes in\n that shape (internal rings).\n \"\"\"\n\n scalar = ir.PolygonScalar\n column = ir.PolygonColumn\n\n __slots__ = ()\n\n\nclass MultiLineString(GeoSpatial):\n \"\"\"A set of one or more line strings.\"\"\"\n\n scalar = ir.MultiLineStringScalar\n column = ir.MultiLineStringColumn\n\n __slots__ = ()\n\n\nclass MultiPoint(GeoSpatial):\n \"\"\"A set of one or more points.\"\"\"\n\n scalar = ir.MultiPointScalar\n column = ir.MultiPointColumn\n\n __slots__ = ()\n\n\nclass MultiPolygon(GeoSpatial):\n \"\"\"A set of one or more polygons.\"\"\"\n\n scalar = ir.MultiPolygonScalar\n column = ir.MultiPolygonColumn\n\n __slots__ = ()\n\n\nclass UUID(String):\n \"\"\"A universally unique identifier (UUID) is a 128-bit number used to\n identify information in computer systems.\n \"\"\"\n\n scalar = ir.UUIDScalar\n column = ir.UUIDColumn\n\n __slots__ = ()\n\n\nclass MACADDR(String):\n \"\"\"Media Access Control (MAC) Address of a network interface.\"\"\"\n\n scalar = ir.MACADDRScalar\n column = ir.MACADDRColumn\n\n __slots__ = ()\n\n\nclass INET(String):\n \"\"\"IP address type.\"\"\"\n\n scalar = ir.INETScalar\n column = ir.INETColumn\n\n __slots__ = ()\n\n\n# ---------------------------------------------------------------------\nany = Any()\nnull = Null()\nboolean = Boolean()\nint_ = Integer()\nint8 = Int8()\nint16 = Int16()\nint32 = Int32()\nint64 = Int64()\nuint_ = UnsignedInteger()\nuint8 = UInt8()\nuint16 = UInt16()\nuint32 = UInt32()\nuint64 = UInt64()\nfloat = Float()\nhalffloat = Halffloat()\nfloat16 = Halffloat()\nfloat32 = Float32()\nfloat64 = Float64()\ndouble = Double()\nstring = String()\nbinary = Binary()\ndate = Date()\ntime = Time()\ntimestamp = Timestamp()\ninterval = Interval()\ncategory = Category()\n# geo spatial data type\ngeometry = GeoSpatial()\ngeography = GeoSpatial()\npoint = Point()\nlinestring = LineString()\npolygon = Polygon()\nmultilinestring = MultiLineString()\nmultipoint = MultiPoint()\nmultipolygon = MultiPolygon()\n# json\njson = JSON()\njsonb = JSONB()\n# special string based data type\nuuid = UUID()\nmacaddr = MACADDR()\ninet = INET()\n\n\n_STRING_REGEX = \"\"\"('[^\\n'\\\\\\\\]*(?:\\\\\\\\.[^\\n'\\\\\\\\]*)*'|\"[^\\n\"\\\\\\\\\"]*(?:\\\\\\\\.[^\\n\"\\\\\\\\]*)*\")\"\"\" # noqa: E501\n\n_SPACES = p.regex(r'\\s*', re.MULTILINE)\n\n\ndef spaceless(parser):\n return _SPACES.then(parser).skip(_SPACES)\n\n\ndef spaceless_string(s: str):\n return spaceless(p.string(s, transform=str.lower))\n\n\ndef parse_type(text: str) -> DataType:\n precision = scale = srid = p.digit.at_least(1).concat().map(int)\n\n lparen = spaceless_string(\"(\")\n rparen = spaceless_string(\")\")\n\n langle = spaceless_string(\"<\")\n rangle = spaceless_string(\">\")\n\n comma = spaceless_string(\",\")\n colon = spaceless_string(\":\")\n semicolon = spaceless_string(\";\")\n\n raw_string = p.regex(_STRING_REGEX).map(ast.literal_eval)\n\n geotype = spaceless_string(\"geography\") | spaceless_string(\"geometry\")\n\n @p.generate\n def srid_geotype():\n yield semicolon\n sr = yield srid\n yield colon\n gt = yield geotype\n return (gt, sr)\n\n @p.generate\n def geotype_part():\n yield colon\n gt = yield geotype\n return (gt, None)\n\n @p.generate\n def srid_part():\n yield semicolon\n sr = yield srid\n return (None, sr)\n\n def geotype_parser(name, type):\n name_parser = spaceless_string(name)\n geosubtype_parser = srid_geotype | geotype_part | srid_part\n\n @p.generate\n def parser():\n yield name_parser\n sr_gt = yield geosubtype_parser.optional()\n return type(*sr_gt) if sr_gt is not None else type()\n\n return parser\n\n primitive = (\n spaceless_string(\"any\").result(any)\n | spaceless_string(\"null\").result(null)\n | spaceless_string(\"boolean\").result(boolean)\n | spaceless_string(\"bool\").result(boolean)\n | spaceless_string(\"int8\").result(int8)\n | spaceless_string(\"int16\").result(int16)\n | spaceless_string(\"int32\").result(int32)\n | spaceless_string(\"int64\").result(int64)\n | spaceless_string(\"uint8\").result(uint8)\n | spaceless_string(\"uint16\").result(uint16)\n | spaceless_string(\"uint32\").result(uint32)\n | spaceless_string(\"uint64\").result(uint64)\n | spaceless_string(\"halffloat\").result(halffloat)\n | spaceless_string(\"double\").result(double)\n | spaceless_string(\"float16\").result(float16)\n | spaceless_string(\"float32\").result(float32)\n | spaceless_string(\"float64\").result(float64)\n | spaceless_string(\"float\").result(float)\n | spaceless_string(\"string\").result(string)\n | spaceless_string(\"binary\").result(binary)\n | spaceless_string(\"timestamp\").result(Timestamp())\n | spaceless_string(\"time\").result(time)\n | spaceless_string(\"date\").result(date)\n | spaceless_string(\"category\").result(category)\n | spaceless_string(\"geometry\").result(GeoSpatial(geotype='geometry'))\n | spaceless_string(\"geography\").result(GeoSpatial(geotype='geography'))\n | geotype_parser(\"linestring\", LineString)\n | geotype_parser(\"polygon\", Polygon)\n | geotype_parser(\"point\", Point)\n | geotype_parser(\"multilinestring\", MultiLineString)\n | geotype_parser(\"multipolygon\", MultiPolygon)\n | geotype_parser(\"multipoint\", MultiPoint)\n )\n\n @p.generate\n def varchar_or_char():\n yield p.alt(\n spaceless_string(\"varchar\"), spaceless_string(\"char\")\n ).then(\n lparen.then(p.digit.at_least(1).concat()).skip(rparen).optional()\n )\n return String()\n\n @p.generate\n def decimal():\n yield spaceless_string(\"decimal\")\n prec_scale = (\n yield lparen.then(\n p.seq(precision.skip(comma), scale).combine(\n lambda prec, scale: (prec, scale)\n )\n )\n .skip(rparen)\n .optional()\n ) or (9, 0)\n return Decimal(*prec_scale)\n\n @p.generate\n def parened_string():\n yield lparen\n s = yield raw_string\n yield rparen\n return s\n\n @p.generate\n def timestamp():\n yield spaceless_string(\"timestamp\")\n tz = yield parened_string\n return Timestamp(tz)\n\n @p.generate\n def angle_type():\n yield langle\n value_type = yield ty\n yield rangle\n return value_type\n\n @p.generate\n def interval():\n yield spaceless_string(\"interval\")\n value_type = yield angle_type.optional()\n un = yield parened_string.optional()\n return Interval(\n value_type=value_type, unit=un if un is not None else 's'\n )\n\n @p.generate\n def array():\n yield spaceless_string(\"array\")\n value_type = yield angle_type\n return Array(value_type)\n\n @p.generate\n def set():\n yield spaceless_string(\"set\")\n value_type = yield angle_type\n return Set(value_type)\n\n @p.generate\n def map():\n yield spaceless_string(\"map\")\n yield langle\n key_type = yield primitive\n yield comma\n value_type = yield ty\n yield rangle\n return Map(key_type, value_type)\n\n field = spaceless(p.regex(\"[a-zA-Z_][a-zA-Z_0-9]*\"))\n\n @p.generate\n def struct():\n yield spaceless_string(\"struct\")\n yield langle\n field_names_types = yield (\n p.seq(field.skip(colon), ty)\n .combine(lambda field, ty: (field, ty))\n .sep_by(comma)\n )\n yield rangle\n return Struct.from_tuples(field_names_types)\n\n ty = (\n timestamp\n | primitive\n | decimal\n | varchar_or_char\n | interval\n | array\n | set\n | map\n | struct\n | spaceless_string(\"jsonb\").result(jsonb)\n | spaceless_string(\"json\").result(json)\n | spaceless_string(\"uuid\").result(uuid)\n | spaceless_string(\"macaddr\").result(macaddr)\n | spaceless_string(\"inet\").result(inet)\n | spaceless_string(\"geography\").result(geography)\n | spaceless_string(\"geometry\").result(geometry)\n )\n\n return ty.parse(text)\n\n\ndtype = Dispatcher('dtype')\n\nvalidate_type = dtype\n\n\ndef _get_timedelta_units(\n timedelta: datetime.timedelta | pd.Timedelta,\n) -> list[str]:\n # pandas Timedelta has more granularity\n if isinstance(timedelta, pd.Timedelta):\n unit_fields = timedelta.components._fields\n base_object = timedelta.components\n # datetime.timedelta only stores days, seconds, and microseconds internally\n else:\n unit_fields = ['days', 'seconds', 'microseconds']\n base_object = timedelta\n\n time_units = [\n field for field in unit_fields if getattr(base_object, field) > 0\n ]\n return time_units\n\n\[email protected](object)\ndef default(value, **kwargs) -> DataType:\n raise com.IbisTypeError(f'Value {value!r} is not a valid datatype')\n\n\[email protected](DataType)\ndef from_ibis_dtype(value: DataType) -> DataType:\n return value\n\n\[email protected](str)\ndef from_string(value: str) -> DataType:\n try:\n return parse_type(value)\n except SyntaxError:\n raise com.IbisTypeError(f'{value!r} cannot be parsed as a datatype')\n\n\[email protected](list)\ndef from_list(values: list[typing.Any]) -> Array:\n if not values:\n return Array(null)\n return Array(highest_precedence(map(dtype, values)))\n\n\[email protected](collections.abc.Set)\ndef from_set(values: set) -> Set:\n if not values:\n return Set(null)\n return Set(highest_precedence(map(dtype, values)))\n\n\ninfer = Dispatcher('infer')\n\n\ndef higher_precedence(left: DataType, right: DataType) -> DataType:\n if castable(left, right, upcast=True):\n return right\n elif castable(right, left, upcast=True):\n return left\n\n raise com.IbisTypeError(\n f'Cannot compute precedence for {left} and {right} types'\n )\n\n\ndef highest_precedence(dtypes: Iterator[DataType]) -> DataType:\n \"\"\"Compute the highest precedence of `dtypes`.\"\"\"\n return functools.reduce(higher_precedence, dtypes)\n\n\[email protected](object)\ndef infer_dtype_default(value: typing.Any) -> DataType:\n \"\"\"Default implementation of :func:`~ibis.expr.datatypes.infer`.\"\"\"\n raise com.InputTypeError(value)\n\n\[email protected](collections.OrderedDict)\ndef infer_struct(value: Mapping[str, typing.Any]) -> Struct:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Struct` type of `value`.\"\"\"\n if not value:\n raise TypeError('Empty struct type not supported')\n return Struct(list(value.keys()), list(map(infer, value.values())))\n\n\[email protected](collections.abc.Mapping)\ndef infer_map(value: Mapping[typing.Any, typing.Any]) -> Map:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Map` type of `value`.\"\"\"\n if not value:\n return Map(null, null)\n return Map(\n highest_precedence(map(infer, value.keys())),\n highest_precedence(map(infer, value.values())),\n )\n\n\[email protected](list)\ndef infer_list(values: list[typing.Any]) -> Array:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Array` type of `values`.\"\"\"\n if not values:\n return Array(null)\n return Array(highest_precedence(map(infer, values)))\n\n\[email protected]((set, frozenset))\ndef infer_set(values: set) -> Set:\n \"\"\"Infer the :class:`~ibis.expr.datatypes.Set` type of `values`.\"\"\"\n if not values:\n return Set(null)\n return Set(highest_precedence(map(infer, values)))\n\n\[email protected](datetime.time)\ndef infer_time(value: datetime.time) -> Time:\n return time\n\n\[email protected](datetime.date)\ndef infer_date(value: datetime.date) -> Date:\n return date\n\n\[email protected](datetime.datetime)\ndef infer_timestamp(value: datetime.datetime) -> Timestamp:\n if value.tzinfo:\n return Timestamp(timezone=str(value.tzinfo))\n else:\n return timestamp\n\n\[email protected](datetime.timedelta)\ndef infer_interval(value: datetime.timedelta) -> Interval:\n time_units = _get_timedelta_units(value)\n # we can attempt a conversion in the simplest case, i.e. there is exactly\n # one unit (e.g. pd.Timedelta('2 days') vs. pd.Timedelta('2 days 3 hours')\n if len(time_units) == 1:\n unit = time_units[0]\n return Interval(unit)\n else:\n return interval\n\n\[email protected](str)\ndef infer_string(value: str) -> String:\n return string\n\n\[email protected](bytes)\ndef infer_bytes(value: bytes) -> Binary:\n return binary\n\n\[email protected](builtins.float)\ndef infer_floating(value: builtins.float) -> Double:\n return double\n\n\[email protected](int)\ndef infer_integer(value: int, allow_overflow: bool = False) -> Integer:\n for dtype in (int8, int16, int32, int64):\n if dtype.bounds.lower <= value <= dtype.bounds.upper:\n return dtype\n\n if not allow_overflow:\n raise OverflowError(value)\n\n return int64\n\n\[email protected](enum.Enum)\ndef infer_enum(value: enum.Enum) -> Enum:\n return Enum(\n infer(value.name),\n infer(value.value),\n )\n\n\[email protected](bool)\ndef infer_boolean(value: bool) -> Boolean:\n return boolean\n\n\[email protected]((type(None), Null))\ndef infer_null(value: Null | None) -> Null:\n return null\n\n\nif IS_SHAPELY_AVAILABLE:\n\n @infer.register(shapely.geometry.Point)\n def infer_shapely_point(value: shapely.geometry.Point) -> Point:\n return point\n\n @infer.register(shapely.geometry.LineString)\n def infer_shapely_linestring(\n value: shapely.geometry.LineString,\n ) -> LineString:\n return linestring\n\n @infer.register(shapely.geometry.Polygon)\n def infer_shapely_polygon(value: shapely.geometry.Polygon) -> Polygon:\n return polygon\n\n @infer.register(shapely.geometry.MultiLineString)\n def infer_shapely_multilinestring(\n value: shapely.geometry.MultiLineString,\n ) -> MultiLineString:\n return multilinestring\n\n @infer.register(shapely.geometry.MultiPoint)\n def infer_shapely_multipoint(\n value: shapely.geometry.MultiPoint,\n ) -> MultiPoint:\n return multipoint\n\n @infer.register(shapely.geometry.MultiPolygon)\n def infer_shapely_multipolygon(\n value: shapely.geometry.MultiPolygon,\n ) -> MultiPolygon:\n return multipolygon\n\n\ncastable = Dispatcher('castable')\n\n\[email protected](DataType, DataType)\ndef can_cast_subtype(source: DataType, target: DataType, **kwargs) -> bool:\n return isinstance(target, type(source))\n\n\[email protected](Any, DataType)\[email protected](DataType, Any)\[email protected](Any, Any)\[email protected](Null, Any)\[email protected](Integer, Category)\[email protected](Integer, (Floating, Decimal))\[email protected](Floating, Decimal)\[email protected]((Date, Timestamp), (Date, Timestamp))\ndef can_cast_any(source: DataType, target: DataType, **kwargs) -> bool:\n return True\n\n\[email protected](Null, DataType)\ndef can_cast_null(source: DataType, target: DataType, **kwargs) -> bool:\n return target.nullable\n\n\nIntegral = TypeVar('Integral', SignedInteger, UnsignedInteger)\n\n\[email protected](SignedInteger, UnsignedInteger)\[email protected](UnsignedInteger, SignedInteger)\ndef can_cast_to_differently_signed_integer_type(\n source: Integral, target: Integral, value: int | None = None, **kwargs\n) -> bool:\n if value is None:\n return False\n bounds = target.bounds\n return bounds.lower <= value <= bounds.upper\n\n\[email protected](SignedInteger, SignedInteger)\[email protected](UnsignedInteger, UnsignedInteger)\ndef can_cast_integers(source: Integral, target: Integral, **kwargs) -> bool:\n return target._nbytes >= source._nbytes\n\n\[email protected](Floating, Floating)\ndef can_cast_floats(\n source: Floating, target: Floating, upcast: bool = False, **kwargs\n) -> bool:\n if upcast:\n return target._nbytes >= source._nbytes\n\n # double -> float must be allowed because\n # float literals are inferred as doubles\n return True\n\n\[email protected](Decimal, Decimal)\ndef can_cast_decimals(source: Decimal, target: Decimal, **kwargs) -> bool:\n return (\n target.precision >= source.precision and target.scale >= source.scale\n )\n\n\[email protected](Interval, Interval)\ndef can_cast_intervals(source: Interval, target: Interval, **kwargs) -> bool:\n return source.unit == target.unit and castable(\n source.value_type, target.value_type\n )\n\n\[email protected](Integer, Boolean)\ndef can_cast_integer_to_boolean(\n source: Integer, target: Boolean, value: int | None = None, **kwargs\n) -> bool:\n return value is not None and (value == 0 or value == 1)\n\n\[email protected](Integer, Interval)\ndef can_cast_integer_to_interval(\n source: Interval, target: Interval, **kwargs\n) -> bool:\n return castable(source, target.value_type)\n\n\[email protected](String, (Date, Time, Timestamp))\ndef can_cast_string_to_temporal(\n source: String,\n target: Date | Time | Timestamp,\n value: str | None = None,\n **kwargs,\n) -> bool:\n if value is None:\n return False\n try:\n pd.Timestamp(value)\n except ValueError:\n return False\n else:\n return True\n\n\nCollection = TypeVar('Collection', Array, Set)\n\n\[email protected](Array, Array)\[email protected](Set, Set)\ndef can_cast_variadic(\n source: Collection, target: Collection, **kwargs\n) -> bool:\n return castable(source.value_type, target.value_type)\n\n\[email protected](JSON, JSON)\ndef can_cast_json(source, target, **kwargs):\n return True\n\n\[email protected](JSONB, JSONB)\ndef can_cast_jsonb(source, target, **kwargs):\n return True\n\n\n# geo spatial data type\n# cast between same type, used to cast from/to geometry and geography\nGEO_TYPES = (\n Point,\n LineString,\n Polygon,\n MultiLineString,\n MultiPoint,\n MultiPolygon,\n)\n\n\[email protected](Array, GEO_TYPES)\[email protected](GEO_TYPES, Geometry)\[email protected](GEO_TYPES, Geography)\ndef can_cast_geospatial(source, target, **kwargs):\n return True\n\n\[email protected](UUID, UUID)\[email protected](MACADDR, MACADDR)\[email protected](INET, INET)\ndef can_cast_special_string(source, target, **kwargs):\n return True\n\n\n# @castable.register(Map, Map)\n# def can_cast_maps(source, target):\n# return (source.equals(target) or\n# source.equals(Map(null, null)) or\n# source.equals(Map(any, any)))\n# TODO cast category\n\n\ndef cast(source: DataType | str, target: DataType | str, **kwargs) -> DataType:\n \"\"\"Attempts to implicitly cast from source dtype to target dtype\"\"\"\n source, result_target = dtype(source), dtype(target)\n\n if not castable(source, result_target, **kwargs):\n raise com.IbisTypeError(\n 'Datatype {} cannot be implicitly '\n 'casted to {}'.format(source, result_target)\n )\n return result_target\n\n\nsame_kind = Dispatcher(\n 'same_kind',\n doc=\"\"\"\\\nCompute whether two :class:`~ibis.expr.datatypes.DataType` instances are the\nsame kind.\n\nParameters\n----------\na : DataType\nb : DataType\n\nReturns\n-------\nbool\n Whether two :class:`~ibis.expr.datatypes.DataType` instances are the same\n kind.\n\"\"\",\n)\n\n\n@same_kind.register(DataType, DataType)\ndef same_kind_default(a: DataType, b: DataType) -> bool:\n \"\"\"Return whether `a` is exactly equiavlent to `b`\"\"\"\n return a.equals(b)\n\n\nNumeric = TypeVar('Numeric', Integer, Floating)\n\n\n@same_kind.register(Integer, Integer)\n@same_kind.register(Floating, Floating)\ndef same_kind_numeric(a: Numeric, b: Numeric) -> bool:\n \"\"\"Return ``True``.\"\"\"\n return True\n\n\n@same_kind.register(DataType, Null)\ndef same_kind_right_null(a: DataType, _: Null) -> bool:\n \"\"\"Return whether `a` is nullable.\"\"\"\n return a.nullable\n\n\n@same_kind.register(Null, DataType)\ndef same_kind_left_null(_: Null, b: DataType) -> bool:\n \"\"\"Return whether `b` is nullable.\"\"\"\n return b.nullable\n\n\n@same_kind.register(Null, Null)\ndef same_kind_both_null(a: Null, b: Null) -> bool:\n \"\"\"Return ``True``.\"\"\"\n return True\n", "path": "ibis/expr/datatypes.py" } ]
diff --git a/ibis/expr/datatypes.py b/ibis/expr/datatypes.py index e939c0284625..05c1e5800c0b 100644 --- a/ibis/expr/datatypes.py +++ b/ibis/expr/datatypes.py @@ -1232,6 +1232,11 @@ def infer_string(value: str) -> String: return string [email protected](bytes) +def infer_bytes(value: bytes) -> Binary: + return binary + + @infer.register(builtins.float) def infer_floating(value: builtins.float) -> Double: return double diff --git a/ibis/tests/expr/test_datatypes.py b/ibis/tests/expr/test_datatypes.py index df36a65a8402..1d617eb77ce5 100644 --- a/ibis/tests/expr/test_datatypes.py +++ b/ibis/tests/expr/test_datatypes.py @@ -379,6 +379,7 @@ class Foo(enum.Enum): (False, dt.boolean), (True, dt.boolean), ('foo', dt.string), + (b'fooblob', dt.binary), (datetime.date.today(), dt.date), (datetime.datetime.now(), dt.timestamp), (datetime.timedelta(days=3), dt.Interval(unit='D')), diff --git a/ibis/tests/expr/test_value_exprs.py b/ibis/tests/expr/test_value_exprs.py index 72622ce65bf2..de292e2da2dc 100644 --- a/ibis/tests/expr/test_value_exprs.py +++ b/ibis/tests/expr/test_value_exprs.py @@ -63,6 +63,7 @@ def test_unicode(): (-2147483649, 'int64'), (1.5, 'double'), ('foo', 'string'), + (b'fooblob', 'binary'), ([1, 2, 3], 'array<int8>'), ], )
BUG: Binary literals' type is not inferred Is there any reason not to infer `bytes` literals as `binary`? ``` >>> import ibis >>> ibis.literal(b"abc") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/cloud/src/ibis/ibis/expr/types.py", line 1288, in literal raise TypeError( TypeError: The datatype of value b'abc' cannot be inferred, try passing it explicitly with the `type` keyword. ```
django-json-api__django-rest-framework-json-api-630
[ { "content": "import inflection\nfrom django.db.models.query import QuerySet\nfrom django.utils.translation import ugettext_lazy as _\nfrom rest_framework.exceptions import ParseError\nfrom rest_framework.serializers import * # noqa: F403\n\nfrom rest_framework_json_api.exceptions import Conflict\nfrom rest_framework_json_api.relations import ResourceRelatedField\nfrom rest_framework_json_api.utils import (\n get_included_resources,\n get_included_serializers,\n get_resource_type_from_instance,\n get_resource_type_from_model,\n get_resource_type_from_serializer\n)\n\n\nclass ResourceIdentifierObjectSerializer(BaseSerializer):\n default_error_messages = {\n 'incorrect_model_type': _(\n 'Incorrect model type. Expected {model_type}, received {received_type}.'\n ),\n 'does_not_exist': _('Invalid pk \"{pk_value}\" - object does not exist.'),\n 'incorrect_type': _('Incorrect type. Expected pk value, received {data_type}.'),\n }\n\n model_class = None\n\n def __init__(self, *args, **kwargs):\n self.model_class = kwargs.pop('model_class', self.model_class)\n if 'instance' not in kwargs and not self.model_class:\n raise RuntimeError(\n 'ResourceIdentifierObjectsSerializer must be initialized with a model class.'\n )\n super(ResourceIdentifierObjectSerializer, self).__init__(*args, **kwargs)\n\n def to_representation(self, instance):\n return {\n 'type': get_resource_type_from_instance(instance),\n 'id': str(instance.pk)\n }\n\n def to_internal_value(self, data):\n if data['type'] != get_resource_type_from_model(self.model_class):\n self.fail(\n 'incorrect_model_type', model_type=self.model_class, received_type=data['type']\n )\n pk = data['id']\n try:\n return self.model_class.objects.get(pk=pk)\n except ObjectDoesNotExist:\n self.fail('does_not_exist', pk_value=pk)\n except (TypeError, ValueError):\n self.fail('incorrect_type', data_type=type(data['pk']).__name__)\n\n\nclass SparseFieldsetsMixin(object):\n def __init__(self, *args, **kwargs):\n super(SparseFieldsetsMixin, self).__init__(*args, **kwargs)\n context = kwargs.get('context')\n request = context.get('request') if context else None\n\n if request:\n sparse_fieldset_query_param = 'fields[{}]'.format(\n get_resource_type_from_serializer(self)\n )\n try:\n param_name = next(\n key for key in request.query_params if sparse_fieldset_query_param in key\n )\n except StopIteration:\n pass\n else:\n fieldset = request.query_params.get(param_name).split(',')\n # iterate over a *copy* of self.fields' underlying OrderedDict, because we may\n # modify the original during the iteration.\n # self.fields is a `rest_framework.utils.serializer_helpers.BindingDict`\n for field_name, field in self.fields.fields.copy().items():\n if field_name == api_settings.URL_FIELD_NAME: # leave self link there\n continue\n if field_name not in fieldset:\n self.fields.pop(field_name)\n\n\nclass IncludedResourcesValidationMixin(object):\n def __init__(self, *args, **kwargs):\n context = kwargs.get('context')\n request = context.get('request') if context else None\n view = context.get('view') if context else None\n\n def validate_path(serializer_class, field_path, path):\n serializers = get_included_serializers(serializer_class)\n if serializers is None:\n raise ParseError('This endpoint does not support the include parameter')\n this_field_name = inflection.underscore(field_path[0])\n this_included_serializer = serializers.get(this_field_name)\n if this_included_serializer is None:\n raise ParseError(\n 'This endpoint does not support the include parameter for path {}'.format(\n path\n )\n )\n if len(field_path) > 1:\n new_included_field_path = field_path[1:]\n # We go down one level in the path\n validate_path(this_included_serializer, new_included_field_path, path)\n\n if request and view:\n included_resources = get_included_resources(request)\n for included_field_name in included_resources:\n included_field_path = included_field_name.split('.')\n this_serializer_class = view.get_serializer_class()\n # lets validate the current path\n validate_path(this_serializer_class, included_field_path, included_field_name)\n\n super(IncludedResourcesValidationMixin, self).__init__(*args, **kwargs)\n\n\nclass HyperlinkedModelSerializer(\n IncludedResourcesValidationMixin, SparseFieldsetsMixin, HyperlinkedModelSerializer\n):\n \"\"\"\n A type of `ModelSerializer` that uses hyperlinked relationships instead\n of primary key relationships. Specifically:\n\n * A 'url' field is included instead of the 'id' field.\n * Relationships to other instances are hyperlinks, instead of primary keys.\n\n Included Mixins:\n\n * A mixin class to enable sparse fieldsets is included\n * A mixin class to enable validation of included resources is included\n \"\"\"\n\n\nclass ModelSerializer(IncludedResourcesValidationMixin, SparseFieldsetsMixin, ModelSerializer):\n \"\"\"\n A `ModelSerializer` is just a regular `Serializer`, except that:\n\n * A set of default fields are automatically populated.\n * A set of default validators are automatically populated.\n * Default `.create()` and `.update()` implementations are provided.\n\n The process of automatically determining a set of serializer fields\n based on the model fields is reasonably complex, but you almost certainly\n don't need to dig into the implementation.\n\n If the `ModelSerializer` class *doesn't* generate the set of fields that\n you need you should either declare the extra/differing fields explicitly on\n the serializer class, or simply use a `Serializer` class.\n\n\n Included Mixins:\n\n * A mixin class to enable sparse fieldsets is included\n * A mixin class to enable validation of included resources is included\n \"\"\"\n serializer_related_field = ResourceRelatedField\n\n def get_field_names(self, declared_fields, info):\n \"\"\"\n We override the parent to omit explicity defined meta fields (such\n as SerializerMethodFields) from the list of declared fields\n \"\"\"\n meta_fields = getattr(self.Meta, 'meta_fields', [])\n\n declared = OrderedDict()\n for field_name in set(declared_fields.keys()):\n field = declared_fields[field_name]\n if field_name not in meta_fields:\n declared[field_name] = field\n fields = super(ModelSerializer, self).get_field_names(declared, info)\n return list(fields) + list(getattr(self.Meta, 'meta_fields', list()))\n\n def to_representation(self, instance):\n \"\"\"\n Object instance -> Dict of primitive datatypes.\n \"\"\"\n ret = OrderedDict()\n readable_fields = [\n field for field in self.fields.values()\n if not field.write_only\n ]\n\n for field in readable_fields:\n try:\n field_representation = self._get_field_representation(field, instance)\n ret[field.field_name] = field_representation\n except SkipField:\n continue\n\n return ret\n\n def _get_field_representation(self, field, instance):\n request = self.context.get('request')\n is_included = field.source in get_included_resources(request)\n if not is_included and \\\n isinstance(field, ModelSerializer) and \\\n hasattr(instance, field.source + '_id'):\n attribute = getattr(instance, field.source + '_id')\n\n if attribute is None:\n return None\n\n resource_type = get_resource_type_from_serializer(field)\n if resource_type:\n return OrderedDict([('type', resource_type), ('id', attribute)])\n\n attribute = field.get_attribute(instance)\n\n # We skip `to_representation` for `None` values so that fields do\n # not have to explicitly deal with that case.\n #\n # For related fields with `use_pk_only_optimization` we need to\n # resolve the pk value.\n check_for_none = attribute.pk if isinstance(attribute, PKOnlyObject) else attribute\n if check_for_none is None:\n return None\n else:\n return field.to_representation(attribute)\n\n\nclass PolymorphicSerializerMetaclass(SerializerMetaclass):\n \"\"\"\n This metaclass ensures that the `polymorphic_serializers` is correctly defined on a\n `PolymorphicSerializer` class and make a cache of model/serializer/type mappings.\n \"\"\"\n\n def __new__(cls, name, bases, attrs):\n new_class = super(PolymorphicSerializerMetaclass, cls).__new__(cls, name, bases, attrs)\n\n # Ensure initialization is only performed for subclasses of PolymorphicModelSerializer\n # (excluding PolymorphicModelSerializer class itself).\n parents = [b for b in bases if isinstance(b, PolymorphicSerializerMetaclass)]\n if not parents:\n return new_class\n\n polymorphic_serializers = getattr(new_class, 'polymorphic_serializers', None)\n if not polymorphic_serializers:\n raise NotImplementedError(\n \"A PolymorphicModelSerializer must define a `polymorphic_serializers` attribute.\")\n serializer_to_model = {\n serializer: serializer.Meta.model for serializer in polymorphic_serializers}\n model_to_serializer = {\n serializer.Meta.model: serializer for serializer in polymorphic_serializers}\n type_to_serializer = {\n get_resource_type_from_serializer(serializer): serializer for\n serializer in polymorphic_serializers}\n new_class._poly_serializer_model_map = serializer_to_model\n new_class._poly_model_serializer_map = model_to_serializer\n new_class._poly_type_serializer_map = type_to_serializer\n new_class._poly_force_type_resolution = True\n\n # Flag each linked polymorphic serializer to force type resolution based on instance\n for serializer in polymorphic_serializers:\n serializer._poly_force_type_resolution = True\n\n return new_class\n\n\[email protected]_metaclass(PolymorphicSerializerMetaclass)\nclass PolymorphicModelSerializer(ModelSerializer):\n \"\"\"\n A serializer for polymorphic models.\n Useful for \"lazy\" parent models. Leaves should be represented with a regular serializer.\n \"\"\"\n def get_fields(self):\n \"\"\"\n Return an exhaustive list of the polymorphic serializer fields.\n \"\"\"\n if self.instance not in (None, []):\n if not isinstance(self.instance, QuerySet):\n serializer_class = self.get_polymorphic_serializer_for_instance(self.instance)\n return serializer_class(self.instance, context=self.context).get_fields()\n else:\n raise Exception(\"Cannot get fields from a polymorphic serializer given a queryset\")\n return super(PolymorphicModelSerializer, self).get_fields()\n\n @classmethod\n def get_polymorphic_serializer_for_instance(cls, instance):\n \"\"\"\n Return the polymorphic serializer associated with the given instance/model.\n Raise `NotImplementedError` if no serializer is found for the given model. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n try:\n return cls._poly_model_serializer_map[instance._meta.model]\n except KeyError:\n raise NotImplementedError(\n \"No polymorphic serializer has been found for model {}\".format(\n instance._meta.model.__name__))\n\n @classmethod\n def get_polymorphic_model_for_serializer(cls, serializer):\n \"\"\"\n Return the polymorphic model associated with the given serializer.\n Raise `NotImplementedError` if no model is found for the given serializer. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n try:\n return cls._poly_serializer_model_map[serializer]\n except KeyError:\n raise NotImplementedError(\n \"No polymorphic model has been found for serializer {}\".format(serializer.__name__))\n\n @classmethod\n def get_polymorphic_serializer_for_type(cls, obj_type):\n \"\"\"\n Return the polymorphic serializer associated with the given type.\n Raise `NotImplementedError` if no serializer is found for the given type. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n try:\n return cls._poly_type_serializer_map[obj_type]\n except KeyError:\n raise NotImplementedError(\n \"No polymorphic serializer has been found for type {}\".format(obj_type))\n\n @classmethod\n def get_polymorphic_model_for_type(cls, obj_type):\n \"\"\"\n Return the polymorphic model associated with the given type.\n Raise `NotImplementedError` if no model is found for the given type. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n return cls.get_polymorphic_model_for_serializer(\n cls.get_polymorphic_serializer_for_type(obj_type))\n\n @classmethod\n def get_polymorphic_types(cls):\n \"\"\"\n Return the list of accepted types.\n \"\"\"\n return cls._poly_type_serializer_map.keys()\n\n def to_representation(self, instance):\n \"\"\"\n Retrieve the appropriate polymorphic serializer and use this to handle representation.\n \"\"\"\n serializer_class = self.get_polymorphic_serializer_for_instance(instance)\n return serializer_class(instance, context=self.context).to_representation(instance)\n\n def to_internal_value(self, data):\n \"\"\"\n Ensure that the given type is one of the expected polymorphic types, then retrieve the\n appropriate polymorphic serializer and use this to handle internal value.\n \"\"\"\n received_type = data.get('type')\n expected_types = self.get_polymorphic_types()\n if received_type not in expected_types:\n raise Conflict(\n 'Incorrect relation type. Expected on of [{expected_types}], '\n 'received {received_type}.'.format(\n expected_types=', '.join(expected_types), received_type=received_type))\n serializer_class = self.get_polymorphic_serializer_for_type(received_type)\n self.__class__ = serializer_class\n return serializer_class(data, context=self.context).to_internal_value(data)\n", "path": "rest_framework_json_api/serializers.py" } ]
[ { "content": "import inflection\nimport six\nfrom django.db.models.query import QuerySet\nfrom django.utils.translation import ugettext_lazy as _\nfrom rest_framework.exceptions import ParseError\nfrom rest_framework.serializers import * # noqa: F403\n\nfrom rest_framework_json_api.exceptions import Conflict\nfrom rest_framework_json_api.relations import ResourceRelatedField\nfrom rest_framework_json_api.utils import (\n get_included_resources,\n get_included_serializers,\n get_resource_type_from_instance,\n get_resource_type_from_model,\n get_resource_type_from_serializer\n)\n\n\nclass ResourceIdentifierObjectSerializer(BaseSerializer):\n default_error_messages = {\n 'incorrect_model_type': _(\n 'Incorrect model type. Expected {model_type}, received {received_type}.'\n ),\n 'does_not_exist': _('Invalid pk \"{pk_value}\" - object does not exist.'),\n 'incorrect_type': _('Incorrect type. Expected pk value, received {data_type}.'),\n }\n\n model_class = None\n\n def __init__(self, *args, **kwargs):\n self.model_class = kwargs.pop('model_class', self.model_class)\n if 'instance' not in kwargs and not self.model_class:\n raise RuntimeError(\n 'ResourceIdentifierObjectsSerializer must be initialized with a model class.'\n )\n super(ResourceIdentifierObjectSerializer, self).__init__(*args, **kwargs)\n\n def to_representation(self, instance):\n return {\n 'type': get_resource_type_from_instance(instance),\n 'id': str(instance.pk)\n }\n\n def to_internal_value(self, data):\n if data['type'] != get_resource_type_from_model(self.model_class):\n self.fail(\n 'incorrect_model_type', model_type=self.model_class, received_type=data['type']\n )\n pk = data['id']\n try:\n return self.model_class.objects.get(pk=pk)\n except ObjectDoesNotExist:\n self.fail('does_not_exist', pk_value=pk)\n except (TypeError, ValueError):\n self.fail('incorrect_type', data_type=type(data['pk']).__name__)\n\n\nclass SparseFieldsetsMixin(object):\n def __init__(self, *args, **kwargs):\n super(SparseFieldsetsMixin, self).__init__(*args, **kwargs)\n context = kwargs.get('context')\n request = context.get('request') if context else None\n\n if request:\n sparse_fieldset_query_param = 'fields[{}]'.format(\n get_resource_type_from_serializer(self)\n )\n try:\n param_name = next(\n key for key in request.query_params if sparse_fieldset_query_param in key\n )\n except StopIteration:\n pass\n else:\n fieldset = request.query_params.get(param_name).split(',')\n # iterate over a *copy* of self.fields' underlying OrderedDict, because we may\n # modify the original during the iteration.\n # self.fields is a `rest_framework.utils.serializer_helpers.BindingDict`\n for field_name, field in self.fields.fields.copy().items():\n if field_name == api_settings.URL_FIELD_NAME: # leave self link there\n continue\n if field_name not in fieldset:\n self.fields.pop(field_name)\n\n\nclass IncludedResourcesValidationMixin(object):\n def __init__(self, *args, **kwargs):\n context = kwargs.get('context')\n request = context.get('request') if context else None\n view = context.get('view') if context else None\n\n def validate_path(serializer_class, field_path, path):\n serializers = get_included_serializers(serializer_class)\n if serializers is None:\n raise ParseError('This endpoint does not support the include parameter')\n this_field_name = inflection.underscore(field_path[0])\n this_included_serializer = serializers.get(this_field_name)\n if this_included_serializer is None:\n raise ParseError(\n 'This endpoint does not support the include parameter for path {}'.format(\n path\n )\n )\n if len(field_path) > 1:\n new_included_field_path = field_path[1:]\n # We go down one level in the path\n validate_path(this_included_serializer, new_included_field_path, path)\n\n if request and view:\n included_resources = get_included_resources(request)\n for included_field_name in included_resources:\n included_field_path = included_field_name.split('.')\n this_serializer_class = view.get_serializer_class()\n # lets validate the current path\n validate_path(this_serializer_class, included_field_path, included_field_name)\n\n super(IncludedResourcesValidationMixin, self).__init__(*args, **kwargs)\n\n\nclass HyperlinkedModelSerializer(\n IncludedResourcesValidationMixin, SparseFieldsetsMixin, HyperlinkedModelSerializer\n):\n \"\"\"\n A type of `ModelSerializer` that uses hyperlinked relationships instead\n of primary key relationships. Specifically:\n\n * A 'url' field is included instead of the 'id' field.\n * Relationships to other instances are hyperlinks, instead of primary keys.\n\n Included Mixins:\n\n * A mixin class to enable sparse fieldsets is included\n * A mixin class to enable validation of included resources is included\n \"\"\"\n\n\nclass ModelSerializer(IncludedResourcesValidationMixin, SparseFieldsetsMixin, ModelSerializer):\n \"\"\"\n A `ModelSerializer` is just a regular `Serializer`, except that:\n\n * A set of default fields are automatically populated.\n * A set of default validators are automatically populated.\n * Default `.create()` and `.update()` implementations are provided.\n\n The process of automatically determining a set of serializer fields\n based on the model fields is reasonably complex, but you almost certainly\n don't need to dig into the implementation.\n\n If the `ModelSerializer` class *doesn't* generate the set of fields that\n you need you should either declare the extra/differing fields explicitly on\n the serializer class, or simply use a `Serializer` class.\n\n\n Included Mixins:\n\n * A mixin class to enable sparse fieldsets is included\n * A mixin class to enable validation of included resources is included\n \"\"\"\n serializer_related_field = ResourceRelatedField\n\n def get_field_names(self, declared_fields, info):\n \"\"\"\n We override the parent to omit explicity defined meta fields (such\n as SerializerMethodFields) from the list of declared fields\n \"\"\"\n meta_fields = getattr(self.Meta, 'meta_fields', [])\n\n declared = OrderedDict()\n for field_name in set(declared_fields.keys()):\n field = declared_fields[field_name]\n if field_name not in meta_fields:\n declared[field_name] = field\n fields = super(ModelSerializer, self).get_field_names(declared, info)\n return list(fields) + list(getattr(self.Meta, 'meta_fields', list()))\n\n def to_representation(self, instance):\n \"\"\"\n Object instance -> Dict of primitive datatypes.\n \"\"\"\n ret = OrderedDict()\n readable_fields = [\n field for field in self.fields.values()\n if not field.write_only\n ]\n\n for field in readable_fields:\n try:\n field_representation = self._get_field_representation(field, instance)\n ret[field.field_name] = field_representation\n except SkipField:\n continue\n\n return ret\n\n def _get_field_representation(self, field, instance):\n request = self.context.get('request')\n is_included = field.source in get_included_resources(request)\n if not is_included and \\\n isinstance(field, ModelSerializer) and \\\n hasattr(instance, field.source + '_id'):\n attribute = getattr(instance, field.source + '_id')\n\n if attribute is None:\n return None\n\n resource_type = get_resource_type_from_serializer(field)\n if resource_type:\n return OrderedDict([('type', resource_type), ('id', attribute)])\n\n attribute = field.get_attribute(instance)\n\n # We skip `to_representation` for `None` values so that fields do\n # not have to explicitly deal with that case.\n #\n # For related fields with `use_pk_only_optimization` we need to\n # resolve the pk value.\n check_for_none = attribute.pk if isinstance(attribute, PKOnlyObject) else attribute\n if check_for_none is None:\n return None\n else:\n return field.to_representation(attribute)\n\n\nclass PolymorphicSerializerMetaclass(SerializerMetaclass):\n \"\"\"\n This metaclass ensures that the `polymorphic_serializers` is correctly defined on a\n `PolymorphicSerializer` class and make a cache of model/serializer/type mappings.\n \"\"\"\n\n def __new__(cls, name, bases, attrs):\n new_class = super(PolymorphicSerializerMetaclass, cls).__new__(cls, name, bases, attrs)\n\n # Ensure initialization is only performed for subclasses of PolymorphicModelSerializer\n # (excluding PolymorphicModelSerializer class itself).\n parents = [b for b in bases if isinstance(b, PolymorphicSerializerMetaclass)]\n if not parents:\n return new_class\n\n polymorphic_serializers = getattr(new_class, 'polymorphic_serializers', None)\n if not polymorphic_serializers:\n raise NotImplementedError(\n \"A PolymorphicModelSerializer must define a `polymorphic_serializers` attribute.\")\n serializer_to_model = {\n serializer: serializer.Meta.model for serializer in polymorphic_serializers}\n model_to_serializer = {\n serializer.Meta.model: serializer for serializer in polymorphic_serializers}\n type_to_serializer = {\n get_resource_type_from_serializer(serializer): serializer for\n serializer in polymorphic_serializers}\n new_class._poly_serializer_model_map = serializer_to_model\n new_class._poly_model_serializer_map = model_to_serializer\n new_class._poly_type_serializer_map = type_to_serializer\n new_class._poly_force_type_resolution = True\n\n # Flag each linked polymorphic serializer to force type resolution based on instance\n for serializer in polymorphic_serializers:\n serializer._poly_force_type_resolution = True\n\n return new_class\n\n\[email protected]_metaclass(PolymorphicSerializerMetaclass)\nclass PolymorphicModelSerializer(ModelSerializer):\n \"\"\"\n A serializer for polymorphic models.\n Useful for \"lazy\" parent models. Leaves should be represented with a regular serializer.\n \"\"\"\n def get_fields(self):\n \"\"\"\n Return an exhaustive list of the polymorphic serializer fields.\n \"\"\"\n if self.instance not in (None, []):\n if not isinstance(self.instance, QuerySet):\n serializer_class = self.get_polymorphic_serializer_for_instance(self.instance)\n return serializer_class(self.instance, context=self.context).get_fields()\n else:\n raise Exception(\"Cannot get fields from a polymorphic serializer given a queryset\")\n return super(PolymorphicModelSerializer, self).get_fields()\n\n @classmethod\n def get_polymorphic_serializer_for_instance(cls, instance):\n \"\"\"\n Return the polymorphic serializer associated with the given instance/model.\n Raise `NotImplementedError` if no serializer is found for the given model. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n try:\n return cls._poly_model_serializer_map[instance._meta.model]\n except KeyError:\n raise NotImplementedError(\n \"No polymorphic serializer has been found for model {}\".format(\n instance._meta.model.__name__))\n\n @classmethod\n def get_polymorphic_model_for_serializer(cls, serializer):\n \"\"\"\n Return the polymorphic model associated with the given serializer.\n Raise `NotImplementedError` if no model is found for the given serializer. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n try:\n return cls._poly_serializer_model_map[serializer]\n except KeyError:\n raise NotImplementedError(\n \"No polymorphic model has been found for serializer {}\".format(serializer.__name__))\n\n @classmethod\n def get_polymorphic_serializer_for_type(cls, obj_type):\n \"\"\"\n Return the polymorphic serializer associated with the given type.\n Raise `NotImplementedError` if no serializer is found for the given type. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n try:\n return cls._poly_type_serializer_map[obj_type]\n except KeyError:\n raise NotImplementedError(\n \"No polymorphic serializer has been found for type {}\".format(obj_type))\n\n @classmethod\n def get_polymorphic_model_for_type(cls, obj_type):\n \"\"\"\n Return the polymorphic model associated with the given type.\n Raise `NotImplementedError` if no model is found for the given type. This usually\n means that a serializer is missing in the class's `polymorphic_serializers` attribute.\n \"\"\"\n return cls.get_polymorphic_model_for_serializer(\n cls.get_polymorphic_serializer_for_type(obj_type))\n\n @classmethod\n def get_polymorphic_types(cls):\n \"\"\"\n Return the list of accepted types.\n \"\"\"\n return cls._poly_type_serializer_map.keys()\n\n def to_representation(self, instance):\n \"\"\"\n Retrieve the appropriate polymorphic serializer and use this to handle representation.\n \"\"\"\n serializer_class = self.get_polymorphic_serializer_for_instance(instance)\n return serializer_class(instance, context=self.context).to_representation(instance)\n\n def to_internal_value(self, data):\n \"\"\"\n Ensure that the given type is one of the expected polymorphic types, then retrieve the\n appropriate polymorphic serializer and use this to handle internal value.\n \"\"\"\n received_type = data.get('type')\n expected_types = self.get_polymorphic_types()\n if received_type not in expected_types:\n raise Conflict(\n 'Incorrect relation type. Expected on of [{expected_types}], '\n 'received {received_type}.'.format(\n expected_types=', '.join(expected_types), received_type=received_type))\n serializer_class = self.get_polymorphic_serializer_for_type(received_type)\n self.__class__ = serializer_class\n return serializer_class(data, context=self.context).to_internal_value(data)\n", "path": "rest_framework_json_api/serializers.py" } ]
diff --git a/rest_framework_json_api/serializers.py b/rest_framework_json_api/serializers.py index 5085eeec..e1fe3d9f 100644 --- a/rest_framework_json_api/serializers.py +++ b/rest_framework_json_api/serializers.py @@ -1,4 +1,5 @@ import inflection +import six from django.db.models.query import QuerySet from django.utils.translation import ugettext_lazy as _ from rest_framework.exceptions import ParseError
@six gone missing with DRF 3.10.x It looks like the upcoming DRF 3.10 release drops Py2 support and the `six` module. It used to import it here: https://github.com/encode/django-rest-framework/blob/3.9.x/rest_framework/serializers.py#L26 and it is gone in master now. Apparently it is used only one place in DJA: https://github.com/django-json-api/django-rest-framework-json-api/blob/26e65a14b27c82b16cd393a3d5821a966464de51/rest_framework_json_api/serializers.py#L261 and must have been importing it from here: https://github.com/django-json-api/django-rest-framework-json-api/blob/26e65a14b27c82b16cd393a3d5821a966464de51/rest_framework_json_api/serializers.py#L5 "noqa" indeed!
electricitymaps__electricitymaps-contrib-1343
[ { "content": "#!/usr/bin/python3\n\nimport arrow\nimport dateutil\nimport re\nimport requests\n\n# BeautifulSoup is used to parse HTML to get information\nfrom bs4 import BeautifulSoup\n\ntz = 'America/Montevideo'\n\nMAP_GENERATION = {\n 'Hidráulica': 'hydro',\n 'Eólica': 'wind',\n 'Fotovoltaica': 'solar',\n 'Biomasa': 'biomass',\n 'Térmica': 'unknown'\n}\nINV_MAP_GENERATION = dict([(v, k) for (k, v) in MAP_GENERATION.items()])\n\nSALTO_GRANDE_URL = 'http://www.cammesa.com/uflujpot.nsf/FlujoW?OpenAgent&Tensiones y Flujos de Potencia&'\n\n\ndef get_salto_grande(session):\n \"\"\"\n Finds the current generation from the Salto Grande Dam that is\n allocated to Uruguay.\n \"\"\"\n\n current_time = arrow.now('UTC-3')\n if current_time.minute < 30:\n # Data for current hour seems to be available after 30mins.\n current_time = current_time.shift(hours=-1)\n lookup_time = current_time.floor('hour').format('DD/MM/YYYY HH:mm')\n\n s = session or requests.Session()\n url = SALTO_GRANDE_URL + lookup_time\n response = s.get(url)\n soup = BeautifulSoup(response.text, 'html.parser')\n\n tie = soup.find(\"div\", style = \"position:absolute; top:143; left:597\")\n generation = float(tie.text)\n\n return generation\n\n\ndef parse_page(session):\n r = session or requests.session()\n url = 'http://www.ute.com.uy/SgePublico/ConsPotenciaGeneracionArbolXFuente.aspx'\n response = requests.get(url)\n soup = BeautifulSoup(response.text, 'html.parser')\n\n datefield = soup.find('span', attrs={'id': 'ctl00_ContentPlaceHolder1_lblUltFecScada'})\n datestr = re.findall('\\d\\d/\\d\\d/\\d\\d\\d\\d \\d+:\\d\\d', str(datefield.contents[0]))[0]\n date = arrow.get(datestr, 'DD/MM/YYYY h:mm').replace(tzinfo=dateutil.tz.gettz(tz))\n\n table = soup.find('table', attrs={'id': 'ctl00_ContentPlaceHolder1_gridPotenciasNivel1'})\n\n obj = {\n 'datetime': date.datetime\n }\n\n for tr in table.find_all('tr'):\n tds = tr.find_all('td')\n if not len(tds): continue\n\n key = tds[0].find_all('b')\n # Go back one level up if the b tag is not there\n if not len(key): key = tds[0].find_all('font')\n k = key[0].contents[0]\n\n value = tds[1].find_all('b')\n # Go back one level up if the b tag is not there\n if not len(value): value = tds[1].find_all('font')\n v_str = value[0].contents[0]\n if v_str.find(',') > -1 and v_str.find('.') > -1:\n # there can be values like \"1.012,5\"\n v_str = v_str.replace('.', '')\n v_str = v_str.replace(',', '.')\n else:\n # just replace decimal separator, like \"125,2\"\n v_str = v_str.replace(',', '.')\n v = float(v_str)\n\n # solar reports -0.1 at night, make it at least 0\n v = max(v, 0)\n\n obj[k] = v\n\n # https://github.com/tmrowco/electricitymap/issues/1325#issuecomment-380453296\n salto_grande = get_salto_grande(session)\n obj['Hidráulica'] = obj.get('Hidráulica', 0.0) + salto_grande\n\n return obj\n\n\ndef fetch_production(zone_key='UY', session=None, target_datetime=None, logger=None):\n if target_datetime:\n raise NotImplementedError('This parser is not yet able to parse past dates')\n\n obj = parse_page(session)\n\n data = {\n 'zoneKey': zone_key,\n 'datetime': obj['datetime'],\n 'production': dict([(k, obj[INV_MAP_GENERATION[k]]) for k in INV_MAP_GENERATION.keys()]),\n 'source': 'ute.com.uy'\n }\n\n return data\n\n\ndef fetch_exchange(zone_key1='UY', zone_key2='BR-S', session=None, target_datetime=None, logger=None):\n \"\"\"Requests the last known power exchange (in MW) between two countries\n\n Arguments:\n zone_key (optional) -- used in case a parser is able to fetch multiple countries\n session (optional) -- request session passed in order to re-use an existing session\n\n Return:\n A dictionary in the form:\n {\n 'sortedZoneKeys': 'DK->NO',\n 'datetime': '2017-01-01T00:00:00Z',\n 'netFlow': 0.0,\n 'source': 'mysource.com'\n }\n \"\"\"\n if target_datetime:\n raise NotImplementedError('This parser is not yet able to parse past dates')\n\n # set comparison\n if {zone_key1, zone_key2} != {'UY', 'BR'}:\n return None\n\n obj = parse_page(session)\n netFlow = obj['Interconexión con Brasil'] # this represents BR->UY (imports)\n if zone_key1 != 'BR': netFlow *= -1\n\n data = {\n 'sortedZoneKeys': '->'.join(sorted([zone_key1, zone_key2])),\n 'datetime': obj['datetime'],\n 'netFlow': netFlow,\n 'source': 'ute.com.uy'\n }\n\n return data\n\n\nif __name__ == '__main__':\n print('fetch_production() ->')\n print(fetch_production())\n print('fetch_exchange(UY, BR) ->')\n print(fetch_exchange('UY', 'BR'))\n", "path": "parsers/UY.py" } ]
[ { "content": "#!/usr/bin/python3\n\nimport arrow\nimport dateutil\nimport re\nimport requests\n\n# BeautifulSoup is used to parse HTML to get information\nfrom bs4 import BeautifulSoup\n\ntz = 'America/Montevideo'\n\nMAP_GENERATION = {\n 'Hidráulica': 'hydro',\n 'Eólica': 'wind',\n 'Fotovoltaica': 'solar',\n 'Biomasa': 'biomass',\n 'Térmica': 'oil'\n}\nINV_MAP_GENERATION = dict([(v, k) for (k, v) in MAP_GENERATION.items()])\n\nSALTO_GRANDE_URL = 'http://www.cammesa.com/uflujpot.nsf/FlujoW?OpenAgent&Tensiones y Flujos de Potencia&'\n\n\ndef get_salto_grande(session):\n \"\"\"\n Finds the current generation from the Salto Grande Dam that is\n allocated to Uruguay.\n \"\"\"\n\n current_time = arrow.now('UTC-3')\n if current_time.minute < 30:\n # Data for current hour seems to be available after 30mins.\n current_time = current_time.shift(hours=-1)\n lookup_time = current_time.floor('hour').format('DD/MM/YYYY HH:mm')\n\n s = session or requests.Session()\n url = SALTO_GRANDE_URL + lookup_time\n response = s.get(url)\n soup = BeautifulSoup(response.text, 'html.parser')\n\n tie = soup.find(\"div\", style = \"position:absolute; top:143; left:597\")\n generation = float(tie.text)\n\n return generation\n\n\ndef parse_page(session):\n r = session or requests.session()\n url = 'http://www.ute.com.uy/SgePublico/ConsPotenciaGeneracionArbolXFuente.aspx'\n response = requests.get(url)\n soup = BeautifulSoup(response.text, 'html.parser')\n\n datefield = soup.find('span', attrs={'id': 'ctl00_ContentPlaceHolder1_lblUltFecScada'})\n datestr = re.findall('\\d\\d/\\d\\d/\\d\\d\\d\\d \\d+:\\d\\d', str(datefield.contents[0]))[0]\n date = arrow.get(datestr, 'DD/MM/YYYY h:mm').replace(tzinfo=dateutil.tz.gettz(tz))\n\n table = soup.find('table', attrs={'id': 'ctl00_ContentPlaceHolder1_gridPotenciasNivel1'})\n\n obj = {\n 'datetime': date.datetime\n }\n\n for tr in table.find_all('tr'):\n tds = tr.find_all('td')\n if not len(tds): continue\n\n key = tds[0].find_all('b')\n # Go back one level up if the b tag is not there\n if not len(key): key = tds[0].find_all('font')\n k = key[0].contents[0]\n\n value = tds[1].find_all('b')\n # Go back one level up if the b tag is not there\n if not len(value): value = tds[1].find_all('font')\n v_str = value[0].contents[0]\n if v_str.find(',') > -1 and v_str.find('.') > -1:\n # there can be values like \"1.012,5\"\n v_str = v_str.replace('.', '')\n v_str = v_str.replace(',', '.')\n else:\n # just replace decimal separator, like \"125,2\"\n v_str = v_str.replace(',', '.')\n v = float(v_str)\n\n # solar reports -0.1 at night, make it at least 0\n v = max(v, 0)\n\n obj[k] = v\n\n # https://github.com/tmrowco/electricitymap/issues/1325#issuecomment-380453296\n salto_grande = get_salto_grande(session)\n obj['Hidráulica'] = obj.get('Hidráulica', 0.0) + salto_grande\n\n return obj\n\n\ndef fetch_production(zone_key='UY', session=None, target_datetime=None, logger=None):\n if target_datetime:\n raise NotImplementedError('This parser is not yet able to parse past dates')\n\n obj = parse_page(session)\n\n data = {\n 'zoneKey': zone_key,\n 'datetime': obj['datetime'],\n 'production': dict([(k, obj[INV_MAP_GENERATION[k]]) for k in INV_MAP_GENERATION.keys()]),\n 'source': 'ute.com.uy'\n }\n\n return data\n\n\ndef fetch_exchange(zone_key1='UY', zone_key2='BR-S', session=None, target_datetime=None, logger=None):\n \"\"\"Requests the last known power exchange (in MW) between two countries\n\n Arguments:\n zone_key (optional) -- used in case a parser is able to fetch multiple countries\n session (optional) -- request session passed in order to re-use an existing session\n\n Return:\n A dictionary in the form:\n {\n 'sortedZoneKeys': 'DK->NO',\n 'datetime': '2017-01-01T00:00:00Z',\n 'netFlow': 0.0,\n 'source': 'mysource.com'\n }\n \"\"\"\n if target_datetime:\n raise NotImplementedError('This parser is not yet able to parse past dates')\n\n # set comparison\n if {zone_key1, zone_key2} != {'UY', 'BR'}:\n return None\n\n obj = parse_page(session)\n netFlow = obj['Interconexión con Brasil'] # this represents BR->UY (imports)\n if zone_key1 != 'BR': netFlow *= -1\n\n data = {\n 'sortedZoneKeys': '->'.join(sorted([zone_key1, zone_key2])),\n 'datetime': obj['datetime'],\n 'netFlow': netFlow,\n 'source': 'ute.com.uy'\n }\n\n return data\n\n\nif __name__ == '__main__':\n print('fetch_production() ->')\n print(fetch_production())\n print('fetch_exchange(UY, BR) ->')\n print(fetch_exchange('UY', 'BR'))\n", "path": "parsers/UY.py" } ]
diff --git a/parsers/UY.py b/parsers/UY.py index 905f505bf6..fec83f80bd 100644 --- a/parsers/UY.py +++ b/parsers/UY.py @@ -15,7 +15,7 @@ 'Eólica': 'wind', 'Fotovoltaica': 'solar', 'Biomasa': 'biomass', - 'Térmica': 'unknown' + 'Térmica': 'oil' } INV_MAP_GENERATION = dict([(v, k) for (k, v) in MAP_GENERATION.items()])
Map Uruguay's "unknown" to "oil" For Uruguay, everything that is reported as "thermal" is currently assigned to "unknown" category. ![image](https://user-images.githubusercontent.com/25743609/38982325-daec3ee2-43c1-11e8-96e9-16fb636deb55.png) **There are some hints this is entirely based on "oil" as fuel.** 1. the IEA yearly reports show oil as only possible source for "thermal" https://www.iea.org/statistics/statisticssearch/report/?country=URUGUAY&product=electricityandheat&year=2015 2. Based on the "list of power stations" https://en.wikipedia.org/wiki/List_of_power_stations_in_Uruguay, I found info in 3. 3. going through the list, I always ended up on http://globalenergyobservatory.org/, reporting "fuel oil" or "distillate oil" as primary fuel: 3.1 http://globalenergyobservatory.org/geoid/42286 3.2 http://globalenergyobservatory.org/geoid/42287 3.3 http://globalenergyobservatory.org/geoid/42290 3.4 http://globalenergyobservatory.org/geoid/42291 If that's enough evidence, let's change it in the parser! 😃
encode__uvicorn-1089
[ { "content": "import logging\nimport platform\nimport ssl\nimport sys\nimport typing\n\nimport click\nfrom asgiref.typing import ASGIApplication\n\nimport uvicorn\nfrom uvicorn.config import (\n HTTP_PROTOCOLS,\n INTERFACES,\n LIFESPAN,\n LOG_LEVELS,\n LOGGING_CONFIG,\n LOOP_SETUPS,\n SSL_PROTOCOL_VERSION,\n WS_PROTOCOLS,\n Config,\n)\nfrom uvicorn.server import Server, ServerState # noqa: F401 # Used to be defined here.\nfrom uvicorn.supervisors import ChangeReload, Multiprocess\n\nLEVEL_CHOICES = click.Choice(list(LOG_LEVELS.keys()))\nHTTP_CHOICES = click.Choice(list(HTTP_PROTOCOLS.keys()))\nWS_CHOICES = click.Choice(list(WS_PROTOCOLS.keys()))\nLIFESPAN_CHOICES = click.Choice(list(LIFESPAN.keys()))\nLOOP_CHOICES = click.Choice([key for key in LOOP_SETUPS.keys() if key != \"none\"])\nINTERFACE_CHOICES = click.Choice(INTERFACES)\n\nlogger = logging.getLogger(\"uvicorn.error\")\n\n\ndef print_version(ctx: click.Context, param: click.Parameter, value: bool) -> None:\n if not value or ctx.resilient_parsing:\n return\n click.echo(\n \"Running uvicorn %s with %s %s on %s\"\n % (\n uvicorn.__version__,\n platform.python_implementation(),\n platform.python_version(),\n platform.system(),\n )\n )\n ctx.exit()\n\n\[email protected]()\[email protected](\"app\")\[email protected](\n \"--host\",\n type=str,\n default=\"127.0.0.1\",\n help=\"Bind socket to this host.\",\n show_default=True,\n)\[email protected](\n \"--port\",\n type=int,\n default=8000,\n help=\"Bind socket to this port.\",\n show_default=True,\n)\[email protected](\"--uds\", type=str, default=None, help=\"Bind to a UNIX domain socket.\")\[email protected](\n \"--fd\", type=int, default=None, help=\"Bind to socket from this file descriptor.\"\n)\[email protected](\n \"--debug\", is_flag=True, default=False, help=\"Enable debug mode.\", hidden=True\n)\[email protected](\"--reload\", is_flag=True, default=False, help=\"Enable auto-reload.\")\[email protected](\n \"--reload-dir\",\n \"reload_dirs\",\n multiple=True,\n help=\"Set reload directories explicitly, instead of using the current working\"\n \" directory.\",\n)\[email protected](\n \"--reload-delay\",\n type=float,\n default=0.25,\n show_default=True,\n help=\"Delay between previous and next check if application needs to be.\"\n \" Defaults to 0.25s.\",\n)\[email protected](\n \"--workers\",\n default=None,\n type=int,\n help=\"Number of worker processes. Defaults to the $WEB_CONCURRENCY environment\"\n \" variable if available, or 1. Not valid with --reload.\",\n)\[email protected](\n \"--loop\",\n type=LOOP_CHOICES,\n default=\"auto\",\n help=\"Event loop implementation.\",\n show_default=True,\n)\[email protected](\n \"--http\",\n type=HTTP_CHOICES,\n default=\"auto\",\n help=\"HTTP protocol implementation.\",\n show_default=True,\n)\[email protected](\n \"--ws\",\n type=WS_CHOICES,\n default=\"auto\",\n help=\"WebSocket protocol implementation.\",\n show_default=True,\n)\[email protected](\n \"--ws-max-size\",\n type=int,\n default=16777216,\n help=\"WebSocket max size message in bytes\",\n show_default=True,\n)\[email protected](\n \"--ws-ping-interval\",\n type=float,\n default=20,\n help=\"WebSocket ping interval\",\n show_default=True,\n)\[email protected](\n \"--ws-ping-timeout\",\n type=float,\n default=20,\n help=\"WebSocket ping timeout\",\n show_default=True,\n)\[email protected](\n \"--lifespan\",\n type=LIFESPAN_CHOICES,\n default=\"auto\",\n help=\"Lifespan implementation.\",\n show_default=True,\n)\[email protected](\n \"--interface\",\n type=INTERFACE_CHOICES,\n default=\"auto\",\n help=\"Select ASGI3, ASGI2, or WSGI as the application interface.\",\n show_default=True,\n)\[email protected](\n \"--env-file\",\n type=click.Path(exists=True),\n default=None,\n help=\"Environment configuration file.\",\n show_default=True,\n)\[email protected](\n \"--log-config\",\n type=click.Path(exists=True),\n default=None,\n help=\"Logging configuration file. Supported formats: .ini, .json, .yaml.\",\n show_default=True,\n)\[email protected](\n \"--log-level\",\n type=LEVEL_CHOICES,\n default=None,\n help=\"Log level. [default: info]\",\n show_default=True,\n)\[email protected](\n \"--access-log/--no-access-log\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable access log.\",\n)\[email protected](\n \"--use-colors/--no-use-colors\",\n is_flag=True,\n default=None,\n help=\"Enable/Disable colorized logging.\",\n)\[email protected](\n \"--proxy-headers/--no-proxy-headers\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable X-Forwarded-Proto, X-Forwarded-For, X-Forwarded-Port to \"\n \"populate remote address info.\",\n)\[email protected](\n \"--server-header/--no-server-header\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable default Server header.\",\n)\[email protected](\n \"--date-header/--no-date-header\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable default Date header.\",\n)\[email protected](\n \"--forwarded-allow-ips\",\n type=str,\n default=None,\n help=\"Comma seperated list of IPs to trust with proxy headers. Defaults to\"\n \" the $FORWARDED_ALLOW_IPS environment variable if available, or '127.0.0.1'.\",\n)\[email protected](\n \"--root-path\",\n type=str,\n default=\"\",\n help=\"Set the ASGI 'root_path' for applications submounted below a given URL path.\",\n)\[email protected](\n \"--limit-concurrency\",\n type=int,\n default=None,\n help=\"Maximum number of concurrent connections or tasks to allow, before issuing\"\n \" HTTP 503 responses.\",\n)\[email protected](\n \"--backlog\",\n type=int,\n default=2048,\n help=\"Maximum number of connections to hold in backlog\",\n)\[email protected](\n \"--limit-max-requests\",\n type=int,\n default=None,\n help=\"Maximum number of requests to service before terminating the process.\",\n)\[email protected](\n \"--timeout-keep-alive\",\n type=int,\n default=5,\n help=\"Close Keep-Alive connections if no new data is received within this timeout.\",\n show_default=True,\n)\[email protected](\n \"--ssl-keyfile\", type=str, default=None, help=\"SSL key file\", show_default=True\n)\[email protected](\n \"--ssl-certfile\",\n type=str,\n default=None,\n help=\"SSL certificate file\",\n show_default=True,\n)\[email protected](\n \"--ssl-keyfile-password\",\n type=str,\n default=None,\n help=\"SSL keyfile password\",\n show_default=True,\n)\[email protected](\n \"--ssl-version\",\n type=int,\n default=SSL_PROTOCOL_VERSION,\n help=\"SSL version to use (see stdlib ssl module's)\",\n show_default=True,\n)\[email protected](\n \"--ssl-cert-reqs\",\n type=int,\n default=ssl.CERT_NONE,\n help=\"Whether client certificate is required (see stdlib ssl module's)\",\n show_default=True,\n)\[email protected](\n \"--ssl-ca-certs\",\n type=str,\n default=None,\n help=\"CA certificates file\",\n show_default=True,\n)\[email protected](\n \"--ssl-ciphers\",\n type=str,\n default=\"TLSv1\",\n help=\"Ciphers to use (see stdlib ssl module's)\",\n show_default=True,\n)\[email protected](\n \"--header\",\n \"headers\",\n multiple=True,\n help=\"Specify custom default HTTP response headers as a Name:Value pair\",\n)\[email protected](\n \"--version\",\n is_flag=True,\n callback=print_version,\n expose_value=False,\n is_eager=True,\n help=\"Display the uvicorn version and exit.\",\n)\[email protected](\n \"--app-dir\",\n \"app_dir\",\n default=\".\",\n show_default=True,\n help=\"Look for APP in the specified directory, by adding this to the PYTHONPATH.\"\n \" Defaults to the current working directory.\",\n)\[email protected](\n \"--factory\",\n is_flag=True,\n default=False,\n help=\"Treat APP as an application factory, i.e. a () -> <ASGI app> callable.\",\n show_default=True,\n)\ndef main(\n app: str,\n host: str,\n port: int,\n uds: str,\n fd: int,\n loop: str,\n http: str,\n ws: str,\n ws_max_size: int,\n ws_ping_interval: float,\n ws_ping_timeout: float,\n lifespan: str,\n interface: str,\n debug: bool,\n reload: bool,\n reload_dirs: typing.List[str],\n reload_delay: float,\n workers: int,\n env_file: str,\n log_config: str,\n log_level: str,\n access_log: bool,\n proxy_headers: bool,\n server_header: bool,\n date_header: bool,\n forwarded_allow_ips: str,\n root_path: str,\n limit_concurrency: int,\n backlog: int,\n limit_max_requests: int,\n timeout_keep_alive: int,\n ssl_keyfile: str,\n ssl_certfile: str,\n ssl_keyfile_password: str,\n ssl_version: int,\n ssl_cert_reqs: int,\n ssl_ca_certs: str,\n ssl_ciphers: str,\n headers: typing.List[str],\n use_colors: bool,\n app_dir: str,\n factory: bool,\n) -> None:\n sys.path.insert(0, app_dir)\n\n kwargs = {\n \"host\": host,\n \"port\": port,\n \"uds\": uds,\n \"fd\": fd,\n \"loop\": loop,\n \"http\": http,\n \"ws\": ws,\n \"ws_max_size\": ws_max_size,\n \"ws_ping_interval\": ws_ping_interval,\n \"ws_ping_timeout\": ws_ping_timeout,\n \"lifespan\": lifespan,\n \"env_file\": env_file,\n \"log_config\": LOGGING_CONFIG if log_config is None else log_config,\n \"log_level\": log_level,\n \"access_log\": access_log,\n \"interface\": interface,\n \"debug\": debug,\n \"reload\": reload,\n \"reload_dirs\": reload_dirs if reload_dirs else None,\n \"reload_delay\": reload_delay,\n \"workers\": workers,\n \"proxy_headers\": proxy_headers,\n \"server_header\": server_header,\n \"date_header\": date_header,\n \"forwarded_allow_ips\": forwarded_allow_ips,\n \"root_path\": root_path,\n \"limit_concurrency\": limit_concurrency,\n \"backlog\": backlog,\n \"limit_max_requests\": limit_max_requests,\n \"timeout_keep_alive\": timeout_keep_alive,\n \"ssl_keyfile\": ssl_keyfile,\n \"ssl_certfile\": ssl_certfile,\n \"ssl_keyfile_password\": ssl_keyfile_password,\n \"ssl_version\": ssl_version,\n \"ssl_cert_reqs\": ssl_cert_reqs,\n \"ssl_ca_certs\": ssl_ca_certs,\n \"ssl_ciphers\": ssl_ciphers,\n \"headers\": [header.split(\":\", 1) for header in headers],\n \"use_colors\": use_colors,\n \"factory\": factory,\n }\n run(app, **kwargs)\n\n\ndef run(app: typing.Union[ASGIApplication, str], **kwargs: typing.Any) -> None:\n config = Config(app, **kwargs)\n server = Server(config=config)\n\n if (config.reload or config.workers > 1) and not isinstance(app, str):\n logger = logging.getLogger(\"uvicorn.error\")\n logger.warning(\n \"You must pass the application as an import string to enable 'reload' or \"\n \"'workers'.\"\n )\n sys.exit(1)\n\n if config.should_reload:\n sock = config.bind_socket()\n ChangeReload(config, target=server.run, sockets=[sock]).run()\n elif config.workers > 1:\n sock = config.bind_socket()\n Multiprocess(config, target=server.run, sockets=[sock]).run()\n else:\n server.run()\n\n\nif __name__ == \"__main__\":\n main()\n", "path": "uvicorn/main.py" } ]
[ { "content": "import logging\nimport platform\nimport ssl\nimport sys\nimport typing\n\nimport click\nfrom asgiref.typing import ASGIApplication\n\nimport uvicorn\nfrom uvicorn.config import (\n HTTP_PROTOCOLS,\n INTERFACES,\n LIFESPAN,\n LOG_LEVELS,\n LOGGING_CONFIG,\n LOOP_SETUPS,\n SSL_PROTOCOL_VERSION,\n WS_PROTOCOLS,\n Config,\n)\nfrom uvicorn.server import Server, ServerState # noqa: F401 # Used to be defined here.\nfrom uvicorn.supervisors import ChangeReload, Multiprocess\n\nLEVEL_CHOICES = click.Choice(list(LOG_LEVELS.keys()))\nHTTP_CHOICES = click.Choice(list(HTTP_PROTOCOLS.keys()))\nWS_CHOICES = click.Choice(list(WS_PROTOCOLS.keys()))\nLIFESPAN_CHOICES = click.Choice(list(LIFESPAN.keys()))\nLOOP_CHOICES = click.Choice([key for key in LOOP_SETUPS.keys() if key != \"none\"])\nINTERFACE_CHOICES = click.Choice(INTERFACES)\n\nlogger = logging.getLogger(\"uvicorn.error\")\n\n\ndef print_version(ctx: click.Context, param: click.Parameter, value: bool) -> None:\n if not value or ctx.resilient_parsing:\n return\n click.echo(\n \"Running uvicorn %s with %s %s on %s\"\n % (\n uvicorn.__version__,\n platform.python_implementation(),\n platform.python_version(),\n platform.system(),\n )\n )\n ctx.exit()\n\n\[email protected]()\[email protected](\"app\")\[email protected](\n \"--host\",\n type=str,\n default=\"127.0.0.1\",\n help=\"Bind socket to this host.\",\n show_default=True,\n)\[email protected](\n \"--port\",\n type=int,\n default=8000,\n help=\"Bind socket to this port.\",\n show_default=True,\n)\[email protected](\"--uds\", type=str, default=None, help=\"Bind to a UNIX domain socket.\")\[email protected](\n \"--fd\", type=int, default=None, help=\"Bind to socket from this file descriptor.\"\n)\[email protected](\n \"--debug\", is_flag=True, default=False, help=\"Enable debug mode.\", hidden=True\n)\[email protected](\"--reload\", is_flag=True, default=False, help=\"Enable auto-reload.\")\[email protected](\n \"--reload-dir\",\n \"reload_dirs\",\n multiple=True,\n help=\"Set reload directories explicitly, instead of using the current working\"\n \" directory.\",\n type=click.Path(exists=True),\n)\[email protected](\n \"--reload-delay\",\n type=float,\n default=0.25,\n show_default=True,\n help=\"Delay between previous and next check if application needs to be.\"\n \" Defaults to 0.25s.\",\n)\[email protected](\n \"--workers\",\n default=None,\n type=int,\n help=\"Number of worker processes. Defaults to the $WEB_CONCURRENCY environment\"\n \" variable if available, or 1. Not valid with --reload.\",\n)\[email protected](\n \"--loop\",\n type=LOOP_CHOICES,\n default=\"auto\",\n help=\"Event loop implementation.\",\n show_default=True,\n)\[email protected](\n \"--http\",\n type=HTTP_CHOICES,\n default=\"auto\",\n help=\"HTTP protocol implementation.\",\n show_default=True,\n)\[email protected](\n \"--ws\",\n type=WS_CHOICES,\n default=\"auto\",\n help=\"WebSocket protocol implementation.\",\n show_default=True,\n)\[email protected](\n \"--ws-max-size\",\n type=int,\n default=16777216,\n help=\"WebSocket max size message in bytes\",\n show_default=True,\n)\[email protected](\n \"--ws-ping-interval\",\n type=float,\n default=20,\n help=\"WebSocket ping interval\",\n show_default=True,\n)\[email protected](\n \"--ws-ping-timeout\",\n type=float,\n default=20,\n help=\"WebSocket ping timeout\",\n show_default=True,\n)\[email protected](\n \"--lifespan\",\n type=LIFESPAN_CHOICES,\n default=\"auto\",\n help=\"Lifespan implementation.\",\n show_default=True,\n)\[email protected](\n \"--interface\",\n type=INTERFACE_CHOICES,\n default=\"auto\",\n help=\"Select ASGI3, ASGI2, or WSGI as the application interface.\",\n show_default=True,\n)\[email protected](\n \"--env-file\",\n type=click.Path(exists=True),\n default=None,\n help=\"Environment configuration file.\",\n show_default=True,\n)\[email protected](\n \"--log-config\",\n type=click.Path(exists=True),\n default=None,\n help=\"Logging configuration file. Supported formats: .ini, .json, .yaml.\",\n show_default=True,\n)\[email protected](\n \"--log-level\",\n type=LEVEL_CHOICES,\n default=None,\n help=\"Log level. [default: info]\",\n show_default=True,\n)\[email protected](\n \"--access-log/--no-access-log\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable access log.\",\n)\[email protected](\n \"--use-colors/--no-use-colors\",\n is_flag=True,\n default=None,\n help=\"Enable/Disable colorized logging.\",\n)\[email protected](\n \"--proxy-headers/--no-proxy-headers\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable X-Forwarded-Proto, X-Forwarded-For, X-Forwarded-Port to \"\n \"populate remote address info.\",\n)\[email protected](\n \"--server-header/--no-server-header\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable default Server header.\",\n)\[email protected](\n \"--date-header/--no-date-header\",\n is_flag=True,\n default=True,\n help=\"Enable/Disable default Date header.\",\n)\[email protected](\n \"--forwarded-allow-ips\",\n type=str,\n default=None,\n help=\"Comma seperated list of IPs to trust with proxy headers. Defaults to\"\n \" the $FORWARDED_ALLOW_IPS environment variable if available, or '127.0.0.1'.\",\n)\[email protected](\n \"--root-path\",\n type=str,\n default=\"\",\n help=\"Set the ASGI 'root_path' for applications submounted below a given URL path.\",\n)\[email protected](\n \"--limit-concurrency\",\n type=int,\n default=None,\n help=\"Maximum number of concurrent connections or tasks to allow, before issuing\"\n \" HTTP 503 responses.\",\n)\[email protected](\n \"--backlog\",\n type=int,\n default=2048,\n help=\"Maximum number of connections to hold in backlog\",\n)\[email protected](\n \"--limit-max-requests\",\n type=int,\n default=None,\n help=\"Maximum number of requests to service before terminating the process.\",\n)\[email protected](\n \"--timeout-keep-alive\",\n type=int,\n default=5,\n help=\"Close Keep-Alive connections if no new data is received within this timeout.\",\n show_default=True,\n)\[email protected](\n \"--ssl-keyfile\", type=str, default=None, help=\"SSL key file\", show_default=True\n)\[email protected](\n \"--ssl-certfile\",\n type=str,\n default=None,\n help=\"SSL certificate file\",\n show_default=True,\n)\[email protected](\n \"--ssl-keyfile-password\",\n type=str,\n default=None,\n help=\"SSL keyfile password\",\n show_default=True,\n)\[email protected](\n \"--ssl-version\",\n type=int,\n default=SSL_PROTOCOL_VERSION,\n help=\"SSL version to use (see stdlib ssl module's)\",\n show_default=True,\n)\[email protected](\n \"--ssl-cert-reqs\",\n type=int,\n default=ssl.CERT_NONE,\n help=\"Whether client certificate is required (see stdlib ssl module's)\",\n show_default=True,\n)\[email protected](\n \"--ssl-ca-certs\",\n type=str,\n default=None,\n help=\"CA certificates file\",\n show_default=True,\n)\[email protected](\n \"--ssl-ciphers\",\n type=str,\n default=\"TLSv1\",\n help=\"Ciphers to use (see stdlib ssl module's)\",\n show_default=True,\n)\[email protected](\n \"--header\",\n \"headers\",\n multiple=True,\n help=\"Specify custom default HTTP response headers as a Name:Value pair\",\n)\[email protected](\n \"--version\",\n is_flag=True,\n callback=print_version,\n expose_value=False,\n is_eager=True,\n help=\"Display the uvicorn version and exit.\",\n)\[email protected](\n \"--app-dir\",\n \"app_dir\",\n default=\".\",\n show_default=True,\n help=\"Look for APP in the specified directory, by adding this to the PYTHONPATH.\"\n \" Defaults to the current working directory.\",\n)\[email protected](\n \"--factory\",\n is_flag=True,\n default=False,\n help=\"Treat APP as an application factory, i.e. a () -> <ASGI app> callable.\",\n show_default=True,\n)\ndef main(\n app: str,\n host: str,\n port: int,\n uds: str,\n fd: int,\n loop: str,\n http: str,\n ws: str,\n ws_max_size: int,\n ws_ping_interval: float,\n ws_ping_timeout: float,\n lifespan: str,\n interface: str,\n debug: bool,\n reload: bool,\n reload_dirs: typing.List[str],\n reload_delay: float,\n workers: int,\n env_file: str,\n log_config: str,\n log_level: str,\n access_log: bool,\n proxy_headers: bool,\n server_header: bool,\n date_header: bool,\n forwarded_allow_ips: str,\n root_path: str,\n limit_concurrency: int,\n backlog: int,\n limit_max_requests: int,\n timeout_keep_alive: int,\n ssl_keyfile: str,\n ssl_certfile: str,\n ssl_keyfile_password: str,\n ssl_version: int,\n ssl_cert_reqs: int,\n ssl_ca_certs: str,\n ssl_ciphers: str,\n headers: typing.List[str],\n use_colors: bool,\n app_dir: str,\n factory: bool,\n) -> None:\n sys.path.insert(0, app_dir)\n\n kwargs = {\n \"host\": host,\n \"port\": port,\n \"uds\": uds,\n \"fd\": fd,\n \"loop\": loop,\n \"http\": http,\n \"ws\": ws,\n \"ws_max_size\": ws_max_size,\n \"ws_ping_interval\": ws_ping_interval,\n \"ws_ping_timeout\": ws_ping_timeout,\n \"lifespan\": lifespan,\n \"env_file\": env_file,\n \"log_config\": LOGGING_CONFIG if log_config is None else log_config,\n \"log_level\": log_level,\n \"access_log\": access_log,\n \"interface\": interface,\n \"debug\": debug,\n \"reload\": reload,\n \"reload_dirs\": reload_dirs if reload_dirs else None,\n \"reload_delay\": reload_delay,\n \"workers\": workers,\n \"proxy_headers\": proxy_headers,\n \"server_header\": server_header,\n \"date_header\": date_header,\n \"forwarded_allow_ips\": forwarded_allow_ips,\n \"root_path\": root_path,\n \"limit_concurrency\": limit_concurrency,\n \"backlog\": backlog,\n \"limit_max_requests\": limit_max_requests,\n \"timeout_keep_alive\": timeout_keep_alive,\n \"ssl_keyfile\": ssl_keyfile,\n \"ssl_certfile\": ssl_certfile,\n \"ssl_keyfile_password\": ssl_keyfile_password,\n \"ssl_version\": ssl_version,\n \"ssl_cert_reqs\": ssl_cert_reqs,\n \"ssl_ca_certs\": ssl_ca_certs,\n \"ssl_ciphers\": ssl_ciphers,\n \"headers\": [header.split(\":\", 1) for header in headers],\n \"use_colors\": use_colors,\n \"factory\": factory,\n }\n run(app, **kwargs)\n\n\ndef run(app: typing.Union[ASGIApplication, str], **kwargs: typing.Any) -> None:\n config = Config(app, **kwargs)\n server = Server(config=config)\n\n if (config.reload or config.workers > 1) and not isinstance(app, str):\n logger = logging.getLogger(\"uvicorn.error\")\n logger.warning(\n \"You must pass the application as an import string to enable 'reload' or \"\n \"'workers'.\"\n )\n sys.exit(1)\n\n if config.should_reload:\n sock = config.bind_socket()\n ChangeReload(config, target=server.run, sockets=[sock]).run()\n elif config.workers > 1:\n sock = config.bind_socket()\n Multiprocess(config, target=server.run, sockets=[sock]).run()\n else:\n server.run()\n\n\nif __name__ == \"__main__\":\n main()\n", "path": "uvicorn/main.py" } ]
diff --git a/docs/deployment.md b/docs/deployment.md index 86c6d9027..a251f4a1c 100644 --- a/docs/deployment.md +++ b/docs/deployment.md @@ -35,7 +35,7 @@ Options: --uds TEXT Bind to a UNIX domain socket. --fd INTEGER Bind to socket from this file descriptor. --reload Enable auto-reload. - --reload-dir TEXT Set reload directories explicitly, instead + --reload-dir PATH Set reload directories explicitly, instead of using the current working directory. --reload-delay FLOAT Delay between previous and next check if application needs to be. Defaults to 0.25s. diff --git a/docs/index.md b/docs/index.md index a18f32cc3..957882c72 100644 --- a/docs/index.md +++ b/docs/index.md @@ -108,7 +108,7 @@ Options: --uds TEXT Bind to a UNIX domain socket. --fd INTEGER Bind to socket from this file descriptor. --reload Enable auto-reload. - --reload-dir TEXT Set reload directories explicitly, instead + --reload-dir PATH Set reload directories explicitly, instead of using the current working directory. --reload-delay FLOAT Delay between previous and next check if application needs to be. Defaults to 0.25s. diff --git a/uvicorn/main.py b/uvicorn/main.py index 29db197f2..1d3260ade 100644 --- a/uvicorn/main.py +++ b/uvicorn/main.py @@ -77,6 +77,7 @@ def print_version(ctx: click.Context, param: click.Parameter, value: bool) -> No multiple=True, help="Set reload directories explicitly, instead of using the current working" " directory.", + type=click.Path(exists=True), ) @click.option( "--reload-delay",
typo in `--reload-dir` is passed silently (watchgod) ### Checklist ### Describe the bug if I supply a directory to `--reload-dir` which does not exist, the server starts. ``` ./bin/uvicorn --host localhost --port 8000 --reload --reload-dir asdfasfsrc foo.asgi:application INFO: Uvicorn running on http://localhost:8000 (Press CTRL+C to quit) INFO: Started reloader process [123571] using watchgod INFO: Started server process [123573] INFO: Waiting for application startup. INFO: Application startup complete. ``` ``` ./bin/uvicorn --version Running uvicorn 0.13.4 with CPython 3.8.5 on Linux ``` ### Expected behavior I want the server to not start, if the reload-dir does not exist. ### Actual behavior The server starts.
canonical__microk8s-2048
[ { "content": "import getpass\nimport json\nimport os\nimport platform\nimport subprocess\nimport sys\nimport time\nfrom pathlib import Path\n\nimport click\nimport yaml\n\nkubeconfig = \"--kubeconfig=\" + os.path.expandvars(\"${SNAP_DATA}/credentials/client.config\")\n\n\ndef get_current_arch():\n # architecture mapping\n arch_mapping = {\"aarch64\": \"arm64\", \"x86_64\": \"amd64\"}\n\n return arch_mapping[platform.machine()]\n\n\ndef snap_data() -> Path:\n try:\n return Path(os.environ[\"SNAP_DATA\"])\n except KeyError:\n return Path(\"/var/snap/microk8s/current\")\n\n\ndef run(*args, die=True):\n # Add wrappers to $PATH\n env = os.environ.copy()\n env[\"PATH\"] += \":%s\" % os.environ[\"SNAP\"]\n result = subprocess.run(\n args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=env\n )\n\n try:\n result.check_returncode()\n except subprocess.CalledProcessError as err:\n if die:\n if result.stderr:\n print(result.stderr.decode(\"utf-8\"))\n print(err)\n sys.exit(1)\n else:\n raise\n\n return result.stdout.decode(\"utf-8\")\n\n\ndef is_cluster_ready():\n try:\n service_output = kubectl_get(\"all\")\n node_output = kubectl_get(\"nodes\")\n # Make sure to compare with the word \" Ready \" with spaces.\n if \" Ready \" in node_output and \"service/kubernetes\" in service_output:\n return True\n else:\n return False\n except Exception:\n return False\n\n\ndef is_ha_enabled():\n ha_lock = os.path.expandvars(\"${SNAP_DATA}/var/lock/ha-cluster\")\n return os.path.isfile(ha_lock)\n\n\ndef get_dqlite_info():\n cluster_dir = os.path.expandvars(\"${SNAP_DATA}/var/kubernetes/backend\")\n snap_path = os.environ.get(\"SNAP\")\n\n info = []\n\n if not is_ha_enabled():\n return info\n\n waits = 10\n while waits > 0:\n try:\n with open(\"{}/info.yaml\".format(cluster_dir), mode=\"r\") as f:\n data = yaml.load(f, Loader=yaml.FullLoader)\n out = subprocess.check_output(\n \"{snappath}/bin/dqlite -s file://{dbdir}/cluster.yaml -c {dbdir}/cluster.crt \"\n \"-k {dbdir}/cluster.key -f json k8s .cluster\".format(\n snappath=snap_path, dbdir=cluster_dir\n ).split(),\n timeout=4,\n )\n if data[\"Address\"] in out.decode():\n break\n else:\n time.sleep(5)\n waits -= 1\n except (subprocess.CalledProcessError, subprocess.TimeoutExpired):\n time.sleep(2)\n waits -= 1\n\n if waits == 0:\n return info\n\n nodes = json.loads(out.decode())\n for n in nodes:\n if n[\"Role\"] == 0:\n info.append((n[\"Address\"], \"voter\"))\n if n[\"Role\"] == 1:\n info.append((n[\"Address\"], \"standby\"))\n if n[\"Role\"] == 2:\n info.append((n[\"Address\"], \"spare\"))\n return info\n\n\ndef is_cluster_locked():\n if (snap_data() / \"var/lock/clustered.lock\").exists():\n click.echo(\"This MicroK8s deployment is acting as a node in a cluster.\")\n click.echo(\"Please use the master node.\")\n sys.exit(1)\n\n\ndef wait_for_ready(timeout):\n start_time = time.time()\n\n while True:\n if is_cluster_ready():\n return True\n elif timeout and time.time() > start_time + timeout:\n return False\n else:\n time.sleep(2)\n\n\ndef exit_if_stopped():\n stoppedLockFile = os.path.expandvars(\"${SNAP_DATA}/var/lock/stopped.lock\")\n if os.path.isfile(stoppedLockFile):\n print(\"microk8s is not running, try microk8s start\")\n exit(0)\n\n\ndef exit_if_no_permission():\n user = getpass.getuser()\n # test if we can access the default kubeconfig\n clientConfigFile = os.path.expandvars(\"${SNAP_DATA}/credentials/client.config\")\n if not os.access(clientConfigFile, os.R_OK):\n print(\"Insufficient permissions to access MicroK8s.\")\n print(\n \"You can either try again with sudo or add the user {} to the 'microk8s' group:\".format(\n user\n )\n )\n print(\"\")\n print(\" sudo usermod -a -G microk8s {}\".format(user))\n print(\" sudo chown -f -R $USER ~/.kube\")\n print(\"\")\n print(\n \"After this, reload the user groups either via a reboot or by running 'newgrp microk8s'.\"\n )\n exit(1)\n\n\ndef ensure_started():\n if (snap_data() / \"var/lock/stopped.lock\").exists():\n click.echo(\"microk8s is not running, try microk8s start\", err=True)\n sys.exit(1)\n\n\ndef kubectl_get(cmd, namespace=\"--all-namespaces\"):\n if namespace == \"--all-namespaces\":\n return run(\"kubectl\", kubeconfig, \"get\", cmd, \"--all-namespaces\", die=False)\n else:\n return run(\"kubectl\", kubeconfig, \"get\", cmd, \"-n\", namespace, die=False)\n\n\ndef kubectl_get_clusterroles():\n return run(\n \"kubectl\", kubeconfig, \"get\", \"clusterroles\", \"--show-kind\", \"--no-headers\", die=False\n )\n\n\ndef get_available_addons(arch):\n addon_dataset = os.path.expandvars(\"${SNAP}/addon-lists.yaml\")\n available = []\n with open(addon_dataset, \"r\") as file:\n # The FullLoader parameter handles the conversion from YAML\n # scalar values to Python the dictionary format\n addons = yaml.load(file, Loader=yaml.FullLoader)\n for addon in addons[\"microk8s-addons\"][\"addons\"]:\n if arch in addon[\"supported_architectures\"]:\n available.append(addon)\n\n available = sorted(available, key=lambda k: k[\"name\"])\n return available\n\n\ndef get_addon_by_name(addons, name):\n filtered_addon = []\n for addon in addons:\n if name == addon[\"name\"]:\n filtered_addon.append(addon)\n return filtered_addon\n\n\ndef is_service_expected_to_start(service):\n \"\"\"\n Check if a service is supposed to start\n :param service: the service name\n :return: True if the service is meant to start\n \"\"\"\n lock_path = os.path.expandvars(\"${SNAP_DATA}/var/lock\")\n lock = \"{}/{}\".format(lock_path, service)\n return os.path.exists(lock_path) and not os.path.isfile(lock)\n\n\ndef set_service_expected_to_start(service, start=True):\n \"\"\"\n Check if a service is not expected to start.\n :param service: the service name\n :param start: should the service start or not\n \"\"\"\n lock_path = os.path.expandvars(\"${SNAP_DATA}/var/lock\")\n lock = \"{}/{}\".format(lock_path, service)\n if start:\n os.remove(lock)\n else:\n fd = os.open(lock, os.O_CREAT, mode=0o700)\n os.close(fd)\n\n\ndef check_help_flag(addons: list) -> bool:\n \"\"\"Checks to see if a help message needs to be printed for an addon.\n\n Not all addons check for help flags themselves. Until they do, intercept\n calls to print help text and print out a generic message to that effect.\n \"\"\"\n addon = addons[0]\n if any(arg in addons for arg in (\"-h\", \"--help\")) and addon != \"kubeflow\":\n print(\"Addon %s does not yet have a help message.\" % addon)\n print(\"For more information about it, visit https://microk8s.io/docs/addons\")\n return True\n return False\n\n\ndef xable(action: str, addons: list, xabled_addons: list):\n \"\"\"Enables or disables the given addons.\n\n Collated into a single function since the logic is identical other than\n the script names.\n \"\"\"\n actions = Path(__file__).absolute().parent / \"../../../actions\"\n existing_addons = {sh.with_suffix(\"\").name[7:] for sh in actions.glob(\"enable.*.sh\")}\n\n # Backwards compatibility with enabling multiple addons at once, e.g.\n # `microk8s.enable foo bar:\"baz\"`\n if all(a.split(\":\")[0] in existing_addons for a in addons) and len(addons) > 1:\n for addon in addons:\n if addon in xabled_addons and addon != \"kubeflow\":\n click.echo(\"Addon %s is already %sd.\" % (addon, action))\n else:\n addon, *args = addon.split(\":\")\n wait_for_ready(timeout=30)\n p = subprocess.run([str(actions / (\"%s.%s.sh\" % (action, addon)))] + args)\n if p.returncode:\n sys.exit(p.returncode)\n wait_for_ready(timeout=30)\n\n # The new way of xabling addons, that allows for unix-style argument passing,\n # such as `microk8s.enable foo --bar`.\n else:\n addon, *args = addons[0].split(\":\")\n\n if addon in xabled_addons and addon != \"kubeflow\":\n click.echo(\"Addon %s is already %sd.\" % (addon, action))\n sys.exit(0)\n\n if addon not in existing_addons:\n click.echo(\"Nothing to do for `%s`.\" % addon, err=True)\n sys.exit(1)\n\n if args and addons[1:]:\n click.echo(\n \"Can't pass string arguments and flag arguments simultaneously!\\n\"\n \"{0} an addon with only one argument style at a time:\\n\"\n \"\\n\"\n \" microk8s {1} foo:'bar'\\n\"\n \"or\\n\"\n \" microk8s {1} foo --bar\\n\".format(action.title(), action)\n )\n sys.exit(1)\n\n wait_for_ready(timeout=30)\n script = [str(actions / (\"%s.%s.sh\" % (action, addon)))]\n if args:\n p = subprocess.run(script + args)\n else:\n p = subprocess.run(script + list(addons[1:]))\n\n if p.returncode:\n sys.exit(p.returncode)\n\n wait_for_ready(timeout=30)\n", "path": "scripts/wrappers/common/utils.py" } ]
[ { "content": "import getpass\nimport json\nimport os\nimport platform\nimport subprocess\nimport sys\nimport time\nfrom pathlib import Path\n\nimport click\nimport yaml\n\nkubeconfig = \"--kubeconfig=\" + os.path.expandvars(\"${SNAP_DATA}/credentials/client.config\")\n\n\ndef get_current_arch():\n # architecture mapping\n arch_mapping = {\"aarch64\": \"arm64\", \"armv7l\": \"armhf\", \"x86_64\": \"amd64\"}\n\n return arch_mapping[platform.machine()]\n\n\ndef snap_data() -> Path:\n try:\n return Path(os.environ[\"SNAP_DATA\"])\n except KeyError:\n return Path(\"/var/snap/microk8s/current\")\n\n\ndef run(*args, die=True):\n # Add wrappers to $PATH\n env = os.environ.copy()\n env[\"PATH\"] += \":%s\" % os.environ[\"SNAP\"]\n result = subprocess.run(\n args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=env\n )\n\n try:\n result.check_returncode()\n except subprocess.CalledProcessError as err:\n if die:\n if result.stderr:\n print(result.stderr.decode(\"utf-8\"))\n print(err)\n sys.exit(1)\n else:\n raise\n\n return result.stdout.decode(\"utf-8\")\n\n\ndef is_cluster_ready():\n try:\n service_output = kubectl_get(\"all\")\n node_output = kubectl_get(\"nodes\")\n # Make sure to compare with the word \" Ready \" with spaces.\n if \" Ready \" in node_output and \"service/kubernetes\" in service_output:\n return True\n else:\n return False\n except Exception:\n return False\n\n\ndef is_ha_enabled():\n ha_lock = os.path.expandvars(\"${SNAP_DATA}/var/lock/ha-cluster\")\n return os.path.isfile(ha_lock)\n\n\ndef get_dqlite_info():\n cluster_dir = os.path.expandvars(\"${SNAP_DATA}/var/kubernetes/backend\")\n snap_path = os.environ.get(\"SNAP\")\n\n info = []\n\n if not is_ha_enabled():\n return info\n\n waits = 10\n while waits > 0:\n try:\n with open(\"{}/info.yaml\".format(cluster_dir), mode=\"r\") as f:\n data = yaml.load(f, Loader=yaml.FullLoader)\n out = subprocess.check_output(\n \"{snappath}/bin/dqlite -s file://{dbdir}/cluster.yaml -c {dbdir}/cluster.crt \"\n \"-k {dbdir}/cluster.key -f json k8s .cluster\".format(\n snappath=snap_path, dbdir=cluster_dir\n ).split(),\n timeout=4,\n )\n if data[\"Address\"] in out.decode():\n break\n else:\n time.sleep(5)\n waits -= 1\n except (subprocess.CalledProcessError, subprocess.TimeoutExpired):\n time.sleep(2)\n waits -= 1\n\n if waits == 0:\n return info\n\n nodes = json.loads(out.decode())\n for n in nodes:\n if n[\"Role\"] == 0:\n info.append((n[\"Address\"], \"voter\"))\n if n[\"Role\"] == 1:\n info.append((n[\"Address\"], \"standby\"))\n if n[\"Role\"] == 2:\n info.append((n[\"Address\"], \"spare\"))\n return info\n\n\ndef is_cluster_locked():\n if (snap_data() / \"var/lock/clustered.lock\").exists():\n click.echo(\"This MicroK8s deployment is acting as a node in a cluster.\")\n click.echo(\"Please use the master node.\")\n sys.exit(1)\n\n\ndef wait_for_ready(timeout):\n start_time = time.time()\n\n while True:\n if is_cluster_ready():\n return True\n elif timeout and time.time() > start_time + timeout:\n return False\n else:\n time.sleep(2)\n\n\ndef exit_if_stopped():\n stoppedLockFile = os.path.expandvars(\"${SNAP_DATA}/var/lock/stopped.lock\")\n if os.path.isfile(stoppedLockFile):\n print(\"microk8s is not running, try microk8s start\")\n exit(0)\n\n\ndef exit_if_no_permission():\n user = getpass.getuser()\n # test if we can access the default kubeconfig\n clientConfigFile = os.path.expandvars(\"${SNAP_DATA}/credentials/client.config\")\n if not os.access(clientConfigFile, os.R_OK):\n print(\"Insufficient permissions to access MicroK8s.\")\n print(\n \"You can either try again with sudo or add the user {} to the 'microk8s' group:\".format(\n user\n )\n )\n print(\"\")\n print(\" sudo usermod -a -G microk8s {}\".format(user))\n print(\" sudo chown -f -R $USER ~/.kube\")\n print(\"\")\n print(\n \"After this, reload the user groups either via a reboot or by running 'newgrp microk8s'.\"\n )\n exit(1)\n\n\ndef ensure_started():\n if (snap_data() / \"var/lock/stopped.lock\").exists():\n click.echo(\"microk8s is not running, try microk8s start\", err=True)\n sys.exit(1)\n\n\ndef kubectl_get(cmd, namespace=\"--all-namespaces\"):\n if namespace == \"--all-namespaces\":\n return run(\"kubectl\", kubeconfig, \"get\", cmd, \"--all-namespaces\", die=False)\n else:\n return run(\"kubectl\", kubeconfig, \"get\", cmd, \"-n\", namespace, die=False)\n\n\ndef kubectl_get_clusterroles():\n return run(\n \"kubectl\", kubeconfig, \"get\", \"clusterroles\", \"--show-kind\", \"--no-headers\", die=False\n )\n\n\ndef get_available_addons(arch):\n addon_dataset = os.path.expandvars(\"${SNAP}/addon-lists.yaml\")\n available = []\n with open(addon_dataset, \"r\") as file:\n # The FullLoader parameter handles the conversion from YAML\n # scalar values to Python the dictionary format\n addons = yaml.load(file, Loader=yaml.FullLoader)\n for addon in addons[\"microk8s-addons\"][\"addons\"]:\n if arch in addon[\"supported_architectures\"]:\n available.append(addon)\n\n available = sorted(available, key=lambda k: k[\"name\"])\n return available\n\n\ndef get_addon_by_name(addons, name):\n filtered_addon = []\n for addon in addons:\n if name == addon[\"name\"]:\n filtered_addon.append(addon)\n return filtered_addon\n\n\ndef is_service_expected_to_start(service):\n \"\"\"\n Check if a service is supposed to start\n :param service: the service name\n :return: True if the service is meant to start\n \"\"\"\n lock_path = os.path.expandvars(\"${SNAP_DATA}/var/lock\")\n lock = \"{}/{}\".format(lock_path, service)\n return os.path.exists(lock_path) and not os.path.isfile(lock)\n\n\ndef set_service_expected_to_start(service, start=True):\n \"\"\"\n Check if a service is not expected to start.\n :param service: the service name\n :param start: should the service start or not\n \"\"\"\n lock_path = os.path.expandvars(\"${SNAP_DATA}/var/lock\")\n lock = \"{}/{}\".format(lock_path, service)\n if start:\n os.remove(lock)\n else:\n fd = os.open(lock, os.O_CREAT, mode=0o700)\n os.close(fd)\n\n\ndef check_help_flag(addons: list) -> bool:\n \"\"\"Checks to see if a help message needs to be printed for an addon.\n\n Not all addons check for help flags themselves. Until they do, intercept\n calls to print help text and print out a generic message to that effect.\n \"\"\"\n addon = addons[0]\n if any(arg in addons for arg in (\"-h\", \"--help\")) and addon != \"kubeflow\":\n print(\"Addon %s does not yet have a help message.\" % addon)\n print(\"For more information about it, visit https://microk8s.io/docs/addons\")\n return True\n return False\n\n\ndef xable(action: str, addons: list, xabled_addons: list):\n \"\"\"Enables or disables the given addons.\n\n Collated into a single function since the logic is identical other than\n the script names.\n \"\"\"\n actions = Path(__file__).absolute().parent / \"../../../actions\"\n existing_addons = {sh.with_suffix(\"\").name[7:] for sh in actions.glob(\"enable.*.sh\")}\n\n # Backwards compatibility with enabling multiple addons at once, e.g.\n # `microk8s.enable foo bar:\"baz\"`\n if all(a.split(\":\")[0] in existing_addons for a in addons) and len(addons) > 1:\n for addon in addons:\n if addon in xabled_addons and addon != \"kubeflow\":\n click.echo(\"Addon %s is already %sd.\" % (addon, action))\n else:\n addon, *args = addon.split(\":\")\n wait_for_ready(timeout=30)\n p = subprocess.run([str(actions / (\"%s.%s.sh\" % (action, addon)))] + args)\n if p.returncode:\n sys.exit(p.returncode)\n wait_for_ready(timeout=30)\n\n # The new way of xabling addons, that allows for unix-style argument passing,\n # such as `microk8s.enable foo --bar`.\n else:\n addon, *args = addons[0].split(\":\")\n\n if addon in xabled_addons and addon != \"kubeflow\":\n click.echo(\"Addon %s is already %sd.\" % (addon, action))\n sys.exit(0)\n\n if addon not in existing_addons:\n click.echo(\"Nothing to do for `%s`.\" % addon, err=True)\n sys.exit(1)\n\n if args and addons[1:]:\n click.echo(\n \"Can't pass string arguments and flag arguments simultaneously!\\n\"\n \"{0} an addon with only one argument style at a time:\\n\"\n \"\\n\"\n \" microk8s {1} foo:'bar'\\n\"\n \"or\\n\"\n \" microk8s {1} foo --bar\\n\".format(action.title(), action)\n )\n sys.exit(1)\n\n wait_for_ready(timeout=30)\n script = [str(actions / (\"%s.%s.sh\" % (action, addon)))]\n if args:\n p = subprocess.run(script + args)\n else:\n p = subprocess.run(script + list(addons[1:]))\n\n if p.returncode:\n sys.exit(p.returncode)\n\n wait_for_ready(timeout=30)\n", "path": "scripts/wrappers/common/utils.py" } ]
diff --git a/.gitignore b/.gitignore index 866ebade6d..f1bc3e7a01 100644 --- a/.gitignore +++ b/.gitignore @@ -17,3 +17,4 @@ tests/__pycache__ /installer/build/ .tox_env/ __pycache__/ +microk8s_*.txt #Remote build log diff --git a/scripts/wrappers/common/utils.py b/scripts/wrappers/common/utils.py index aa0b43bf25..e77e5f3346 100644 --- a/scripts/wrappers/common/utils.py +++ b/scripts/wrappers/common/utils.py @@ -15,7 +15,7 @@ def get_current_arch(): # architecture mapping - arch_mapping = {"aarch64": "arm64", "x86_64": "amd64"} + arch_mapping = {"aarch64": "arm64", "armv7l": "armhf", "x86_64": "amd64"} return arch_mapping[platform.machine()] diff --git a/snap/snapcraft.yaml b/snap/snapcraft.yaml index 264e14549f..a9de8dd465 100644 --- a/snap/snapcraft.yaml +++ b/snap/snapcraft.yaml @@ -185,10 +185,25 @@ parts: etcd: plugin: dump source: build-scripts/ + build-snaps: [go] override-build: | . ./set-env-variables.sh - curl -LO https://github.com/etcd-io/etcd/releases/download/${ETCD_VERSION}/etcd-${ETCD_VERSION}-linux-$KUBE_ARCH.tar.gz - tar -xzvf etcd-*.tar.gz --strip-components=1 + case ${SNAPCRAFT_ARCH_TRIPLET%%-*} in + x86_64|aarch64) + echo "Supported arch by etcd - use official binary" + curl -LO https://github.com/etcd-io/etcd/releases/download/${ETCD_VERSION}/etcd-${ETCD_VERSION}-linux-$KUBE_ARCH.tar.gz + tar -xzvf etcd-*.tar.gz --strip-components=1 + ;; + *) + echo "Unsupported arch by etcd - build from sources" + curl -LO https://github.com/etcd-io/etcd/archive/${ETCD_VERSION}.tar.gz + tar -xzf *.tar.gz + cd etcd-* + go mod vendor + ./build + cp -av bin/* ../ + echo "End of build" + esac snapcraftctl build stage: - etcd @@ -454,9 +469,9 @@ parts: cp $KUBE_SNAP_ROOT/microk8s-resources/wrappers/* . cp -r $KUBE_SNAP_ROOT/microk8s-resources/actions . - if [ "${ARCH}" = "arm64" ] + if [ "${ARCH}" != "amd64" ] then - # Some actions are not available on arm64 + # Some actions are only available on amd64 # Nvidia support rm "actions/enable.gpu.sh" rm "actions/disable.gpu.sh"
Microk8s on armhf architecture Hi all, The armhf binary is missing and not available right now, which means that some users cannot install microk8s on Ubuntu. For example, if you use the armhf image for Raspberry Pi, you cannot install microk8s: > ubuntu@battlecruiser:~$ sudo snap install microk8s --classic > error: snap "microk8s" is not available on stable for this architecture (armhf) > but exists on other architectures (amd64, arm64, ppc64el). It would be really good if we could also get the build compiled for this architecture and make officially available. Cheers, - Calvin
cleanlab__cleanlab-1024
[ { "content": "# Configuration file for the Sphinx documentation builder.\n#\n# This file only contains a selection of the most common options. For a full\n# list see the documentation:\n# https://www.sphinx-doc.org/en/master/usage/configuration.html\n\n# -- Path setup --------------------------------------------------------------\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n\nimport os\nimport sys\nimport datetime\nimport shutil\n\nsys.path.insert(0, os.path.abspath(\"../../cleanlab\"))\n\n# doctest setup\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here.\nimport pathlib\n\nsys.path.insert(0, pathlib.Path(__file__).parents[2].resolve().as_posix())\n\n# Open Graph extension\nogp_site_url = \"https://docs.cleanlab.ai\"\nogp_image = (\n \"https://raw.githubusercontent.com/cleanlab/assets/master/cleanlab/clos-preview-card.png\"\n)\n\n\n# -- Project information -----------------------------------------------------\n\nproject = \"cleanlab\"\ncopyright = f\"{datetime.datetime.now().year}, Cleanlab Inc.\"\nauthor = \"Cleanlab Inc.\"\n\n# -- General configuration ---------------------------------------------------\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n \"sphinx.ext.napoleon\",\n \"nbsphinx\",\n \"sphinx.ext.autodoc\",\n \"autodocsumm\",\n \"sphinx.ext.viewcode\",\n \"sphinx.ext.todo\",\n \"sphinx_tabs.tabs\",\n \"sphinx_multiversion\",\n \"sphinx_copybutton\",\n \"sphinxcontrib.katex\",\n \"sphinxcontrib.gtagjs\",\n \"sphinx_autodoc_typehints\",\n \"sphinx.ext.doctest\",\n \"sphinxext.opengraph\",\n]\n\nnumpy_show_class_members = True\n\n# Don't add .txt suffix to source files:\nhtml_sourcelink_suffix = \"\"\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = [\"_templates\"]\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This pattern also affects html_static_path and html_extra_path.\nexclude_patterns = [\"_build\"]\n\nautosummary_generate = True\n\n# set the default role of `name` to make cross references\ndefault_role = \"py:obj\"\n\n# -- Options for apidoc extension ----------------------------------------------\n\n# apidoc_module_dir = \"cleanlab/cleanlab\"\n\n# -- Options for todo extension ----------------------------------------------\n\n# If true, `todo` and `todoList` produce output, else they produce nothing.\ntodo_include_todos = True\n\n\n# -- Options for Napoleon extension -------------------------------------------\n\nnapoleon_google_docstring = False\nnapoleon_numpy_docstring = True\nnapoleon_include_init_with_doc = False\nnapoleon_include_private_with_doc = False\nnapoleon_include_special_with_doc = True\nnapoleon_use_admonition_for_examples = False\nnapoleon_use_admonition_for_notes = False\nnapoleon_use_admonition_for_references = False\nnapoleon_use_ivar = False\nnapoleon_use_param = True\nnapoleon_use_rtype = False\nnapoleon_preprocess_types = True\nnapoleon_type_aliases = None\nnapoleon_attr_annotations = True\n\n# -- Options for autodoc extension -------------------------------------------\n\n# This value selects what content will be inserted into the main body of an autoclass\n# directive\n#\n# http://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html#directive-autoclass\nautoclass_content = \"class\"\n\n\n# Default options to an ..autoXXX directive.\nautodoc_default_options = {\n \"autosummary\": True,\n \"members\": None,\n \"inherited-members\": None,\n \"show-inheritance\": None,\n \"special-members\": \"__call__\",\n}\n\n# Subclasses should show parent classes docstrings if they don't override them.\nautodoc_inherit_docstrings = True\n\n# Order functions displayed by the order of source code\nautodoc_member_order = \"bysource\"\n\n# -- Options for copybutton extension -----------------------------------------\n\n# Strip input prompts when copying code blocks. Supports:\n# - Python Repl + continuation prompt\n# - Bash prompt\n# - ipython + continuation prompt\n# - jupyter-console + continuation prompt\ncopybutton_prompt_text = r\">>> |\\.\\.\\. |\\$ |In \\[\\d*\\]: | {2,5}\\.\\.\\.: | {5,8}: \"\ncopybutton_prompt_is_regexp = True\n\n# -- Options for katex extension -------------------------------------------\n\nif os.getenv(\"CI\") or shutil.which(\"katex\") is not None:\n # requires that the machine have `katex` installed: `npm install -g katex`\n katex_prerender = True\n\n# -- Options for gtagjs extension -------------------------------------------\n\ngtagjs_ids = [\"G-EV8RVEFX82\"]\n\n# -- Variables Setting ---------------------------------------------------\n\n# Determine doc site URL (DOCS_SITE_URL)\n# Check if it's running in production repo\nif os.getenv(\"GITHUB_REPOSITORY\") == \"cleanlab/cleanlab\":\n DOCS_SITE_URL = \"/\"\nelse:\n DOCS_SITE_URL = \"/cleanlab-docs/\"\n\ngh_env_file = os.getenv(\"GITHUB_ENV\")\nif gh_env_file is not None:\n with open(gh_env_file, \"a\") as f:\n f.write(f\"\\nDOCS_SITE_URL={DOCS_SITE_URL}\") # Set to Environment Var\n\nGITHUB_REPOSITORY_OWNER = os.getenv(\"GITHUB_REPOSITORY_OWNER\") or \"cleanlab\"\nGITHUB_REF_NAME = os.getenv(\"GITHUB_REF_NAME\") or \"master\"\n\n# Pass additional variables to Jinja templates\nhtml_context = {\n \"DOCS_SITE_URL\": DOCS_SITE_URL,\n # Add new tags to RELEASE_VERSIONS before release\n # fmt: off\n \"RELEASE_VERSIONS\": [\n \"v2.6.0\",\n \"v2.5.0\",\n \"v2.4.0\",\n \"v2.3.1\",\n \"v2.3.0\",\n \"v2.2.0\",\n \"v2.1.0\",\n \"v2.0.0\",\n \"v1.0.1\",\n ],\n # fmt: on\n}\n\n# -- nbsphinx Configuration ---------------------------------------------------\n\n# This is processed by Jinja2 and inserted before each notebook\nnbsphinx_prolog = (\n \"\"\"\n{% set docname = env.doc2path(env.docname, base=None) %}\n\n.. raw:: html\n\n <style>\n .nbinput .prompt,\n .nboutput .prompt {\n display: none;\n }\n\n .output_area {\n max-height: 300px;\n overflow: auto;\n }\n\n .dataframe {\n background: #D7D7D7;\n }\n\n th {\n color:black;\n }\n </style>\n\n <script type=\"text/javascript\">\n window.addEventListener('load', () => {\n const h1_element = document.getElementsByTagName(\"h1\");\n h1_element[0].insertAdjacentHTML(\"afterend\", `\n <p>\n <a style=\"background-color:white;color:black;padding:4px 12px;text-decoration:none;display:inline-block;border-radius:8px;box-shadow:0 2px 4px 0 rgba(0, 0, 0, 0.2), 0 3px 10px 0 rgba(0, 0, 0, 0.19)\" href=\"https://colab.research.google.com/github/\"\"\"\n + GITHUB_REPOSITORY_OWNER\n + \"\"\"/cleanlab-docs/blob/master/\"\"\"\n + GITHUB_REF_NAME\n + \"\"\"/{{ docname|e }}\" target=\"_blank\">\n <img src=\"https://colab.research.google.com/img/colab_favicon_256px.png\" alt=\"\" style=\"width:40px;height:40px;vertical-align:middle\">\n <span style=\"vertical-align:middle\">Run in Google Colab</span>\n </a>\n </p>\n `);\n })\n\n </script>\n\"\"\"\n)\n\n# Change this to \"always\" before running in the doc's CI/CD server\nif os.getenv(\"CI\"):\n nbsphinx_execute = \"always\"\nif os.getenv(\"SKIP_NOTEBOOKS\", \"0\") != \"0\":\n nbsphinx_execute = \"never\"\n\n# -- Options for HTML output -------------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = \"furo\"\nhtml_favicon = \"https://raw.githubusercontent.com/cleanlab/assets/a4483476d449f2f05a4c7cde329e72358099cc07/cleanlab/cleanlab_favicon.svg\"\nhtml_title = \"cleanlab\"\nhtml_logo = (\n \"https://raw.githubusercontent.com/cleanlab/assets/master/cleanlab/cleanlab_logo_only.png\"\n)\nhtml_theme_options = {\n \"footer_icons\": [\n {\n \"name\": \"GitHub\",\n \"url\": \"https://github.com/cleanlab/cleanlab\",\n \"html\": \"\"\"\n <svg stroke=\"currentColor\" fill=\"currentColor\" stroke-width=\"0\" viewBox=\"0 0 16 16\">\n <path fill-rule=\"evenodd\" d=\"M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z\"></path>\n </svg>\n \"\"\",\n \"class\": \"\",\n },\n ],\n}\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = [\"_static\"]\n\nhtml_css_files = [\"css/custom.css\"]\n\nhtml_sidebars = {\n \"**\": [\n \"brand.html\",\n \"sidebar/search.html\",\n \"sidebar/scroll-start.html\",\n \"sidebar/navigation.html\",\n \"sidebar/ethical-ads.html\",\n \"versioning.html\",\n \"sidebar/scroll-end.html\",\n ],\n}\n", "path": "docs/source/conf.py" } ]
[ { "content": "# Configuration file for the Sphinx documentation builder.\n#\n# This file only contains a selection of the most common options. For a full\n# list see the documentation:\n# https://www.sphinx-doc.org/en/master/usage/configuration.html\n\n# -- Path setup --------------------------------------------------------------\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n\nimport os\nimport sys\nimport datetime\nimport shutil\n\nsys.path.insert(0, os.path.abspath(\"../../cleanlab\"))\n\n# doctest setup\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here.\nimport pathlib\n\nsys.path.insert(0, pathlib.Path(__file__).parents[2].resolve().as_posix())\n\n# Open Graph extension\nogp_site_url = \"https://docs.cleanlab.ai\"\nogp_image = (\n \"https://raw.githubusercontent.com/cleanlab/assets/master/cleanlab/clos-preview-card.png\"\n)\n\n\n# -- Project information -----------------------------------------------------\n\nproject = \"cleanlab\"\ncopyright = f\"{datetime.datetime.now().year}, Cleanlab Inc.\"\nauthor = \"Cleanlab Inc.\"\n\n# -- General configuration ---------------------------------------------------\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n \"sphinx.ext.napoleon\",\n \"nbsphinx\",\n \"sphinx.ext.autodoc\",\n \"autodocsumm\",\n \"sphinx.ext.viewcode\",\n \"sphinx.ext.todo\",\n \"sphinx_tabs.tabs\",\n \"sphinx_multiversion\",\n \"sphinx_copybutton\",\n \"sphinxcontrib.katex\",\n \"sphinxcontrib.gtagjs\",\n \"sphinx_jinja\",\n \"sphinx_autodoc_typehints\",\n \"sphinx.ext.doctest\",\n \"sphinxext.opengraph\",\n]\n\nnumpy_show_class_members = True\n\n# Don't add .txt suffix to source files:\nhtml_sourcelink_suffix = \"\"\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = [\"_templates\"]\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This pattern also affects html_static_path and html_extra_path.\nexclude_patterns = [\"_build\"]\n\nautosummary_generate = True\n\n# set the default role of `name` to make cross references\ndefault_role = \"py:obj\"\n\n# -- Options for apidoc extension ----------------------------------------------\n\n# apidoc_module_dir = \"cleanlab/cleanlab\"\n\n# -- Options for todo extension ----------------------------------------------\n\n# If true, `todo` and `todoList` produce output, else they produce nothing.\ntodo_include_todos = True\n\n\n# -- Options for Napoleon extension -------------------------------------------\n\nnapoleon_google_docstring = False\nnapoleon_numpy_docstring = True\nnapoleon_include_init_with_doc = False\nnapoleon_include_private_with_doc = False\nnapoleon_include_special_with_doc = True\nnapoleon_use_admonition_for_examples = False\nnapoleon_use_admonition_for_notes = False\nnapoleon_use_admonition_for_references = False\nnapoleon_use_ivar = False\nnapoleon_use_param = True\nnapoleon_use_rtype = False\nnapoleon_preprocess_types = True\nnapoleon_type_aliases = None\nnapoleon_attr_annotations = True\n\n# -- Options for autodoc extension -------------------------------------------\n\n# This value selects what content will be inserted into the main body of an autoclass\n# directive\n#\n# http://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html#directive-autoclass\nautoclass_content = \"class\"\n\n\n# Default options to an ..autoXXX directive.\nautodoc_default_options = {\n \"autosummary\": True,\n \"members\": None,\n \"inherited-members\": None,\n \"show-inheritance\": None,\n \"special-members\": \"__call__\",\n}\n\n# Subclasses should show parent classes docstrings if they don't override them.\nautodoc_inherit_docstrings = True\n\n# Order functions displayed by the order of source code\nautodoc_member_order = \"bysource\"\n\n# -- Options for copybutton extension -----------------------------------------\n\n# Strip input prompts when copying code blocks. Supports:\n# - Python Repl + continuation prompt\n# - Bash prompt\n# - ipython + continuation prompt\n# - jupyter-console + continuation prompt\ncopybutton_prompt_text = r\">>> |\\.\\.\\. |\\$ |In \\[\\d*\\]: | {2,5}\\.\\.\\.: | {5,8}: \"\ncopybutton_prompt_is_regexp = True\n\n# -- Options for katex extension -------------------------------------------\n\nif os.getenv(\"CI\") or shutil.which(\"katex\") is not None:\n # requires that the machine have `katex` installed: `npm install -g katex`\n katex_prerender = True\n\n# -- Options for gtagjs extension -------------------------------------------\n\ngtagjs_ids = [\"G-EV8RVEFX82\"]\n\n# -- Variables Setting ---------------------------------------------------\n\n# Determine doc site URL (DOCS_SITE_URL)\n# Check if it's running in production repo\nif os.getenv(\"GITHUB_REPOSITORY\") == \"cleanlab/cleanlab\":\n DOCS_SITE_URL = \"/\"\nelse:\n DOCS_SITE_URL = \"/cleanlab-docs/\"\n\ngh_env_file = os.getenv(\"GITHUB_ENV\")\nif gh_env_file is not None:\n with open(gh_env_file, \"a\") as f:\n f.write(f\"\\nDOCS_SITE_URL={DOCS_SITE_URL}\") # Set to Environment Var\n\nGITHUB_REPOSITORY_OWNER = os.getenv(\"GITHUB_REPOSITORY_OWNER\") or \"cleanlab\"\nGITHUB_REF_NAME = os.getenv(\"GITHUB_REF_NAME\") or \"master\"\n\n# Pass additional variables to Jinja templates\nhtml_context = {\n \"DOCS_SITE_URL\": DOCS_SITE_URL,\n # Add new tags to RELEASE_VERSIONS before release\n # fmt: off\n \"RELEASE_VERSIONS\": [\n \"v2.6.0\",\n \"v2.5.0\",\n \"v2.4.0\",\n \"v2.3.1\",\n \"v2.3.0\",\n \"v2.2.0\",\n \"v2.1.0\",\n \"v2.0.0\",\n \"v1.0.1\",\n ],\n # fmt: on\n}\n\n# -- nbsphinx Configuration ---------------------------------------------------\n\n# This is processed by Jinja2 and inserted before each notebook\nnbsphinx_prolog = (\n \"\"\"\n{% set docname = env.doc2path(env.docname, base=None) %}\n\n.. raw:: html\n\n <style>\n .nbinput .prompt,\n .nboutput .prompt {\n display: none;\n }\n\n .output_area {\n max-height: 300px;\n overflow: auto;\n }\n\n .dataframe {\n background: #D7D7D7;\n }\n\n th {\n color:black;\n }\n </style>\n\n <script type=\"text/javascript\">\n window.addEventListener('load', () => {\n const h1_element = document.getElementsByTagName(\"h1\");\n h1_element[0].insertAdjacentHTML(\"afterend\", `\n <p>\n <a style=\"background-color:white;color:black;padding:4px 12px;text-decoration:none;display:inline-block;border-radius:8px;box-shadow:0 2px 4px 0 rgba(0, 0, 0, 0.2), 0 3px 10px 0 rgba(0, 0, 0, 0.19)\" href=\"https://colab.research.google.com/github/\"\"\"\n + GITHUB_REPOSITORY_OWNER\n + \"\"\"/cleanlab-docs/blob/master/\"\"\"\n + GITHUB_REF_NAME\n + \"\"\"/{{ docname|e }}\" target=\"_blank\">\n <img src=\"https://colab.research.google.com/img/colab_favicon_256px.png\" alt=\"\" style=\"width:40px;height:40px;vertical-align:middle\">\n <span style=\"vertical-align:middle\">Run in Google Colab</span>\n </a>\n </p>\n `);\n })\n\n </script>\n\"\"\"\n)\n\n# Change this to \"always\" before running in the doc's CI/CD server\nif os.getenv(\"CI\"):\n nbsphinx_execute = \"always\"\nif os.getenv(\"SKIP_NOTEBOOKS\", \"0\") != \"0\":\n nbsphinx_execute = \"never\"\n\n# -- Options for HTML output -------------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = \"furo\"\nhtml_favicon = \"https://raw.githubusercontent.com/cleanlab/assets/a4483476d449f2f05a4c7cde329e72358099cc07/cleanlab/cleanlab_favicon.svg\"\nhtml_title = \"cleanlab\"\nhtml_logo = (\n \"https://raw.githubusercontent.com/cleanlab/assets/master/cleanlab/cleanlab_logo_only.png\"\n)\nhtml_theme_options = {\n \"footer_icons\": [\n {\n \"name\": \"GitHub\",\n \"url\": \"https://github.com/cleanlab/cleanlab\",\n \"html\": \"\"\"\n <svg stroke=\"currentColor\" fill=\"currentColor\" stroke-width=\"0\" viewBox=\"0 0 16 16\">\n <path fill-rule=\"evenodd\" d=\"M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z\"></path>\n </svg>\n \"\"\",\n \"class\": \"\",\n },\n ],\n}\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = [\"_static\"]\n\nhtml_css_files = [\"css/custom.css\"]\n\nhtml_sidebars = {\n \"**\": [\n \"brand.html\",\n \"sidebar/search.html\",\n \"sidebar/scroll-start.html\",\n \"sidebar/navigation.html\",\n \"sidebar/ethical-ads.html\",\n \"versioning.html\",\n \"sidebar/scroll-end.html\",\n ],\n}\n", "path": "docs/source/conf.py" } ]
diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 4a43c93cf6..720aeb21dd 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -239,9 +239,13 @@ To contribute a new type of issue that Datalab can automatically detect in any d Do not add your new issue type to the set of issues that Datalab detects by default, our team can add it to this default set later on once it's utility has been thoroughly validated. Don't forget to update the [issue type descriptions guide](https://github.com/cleanlab/cleanlab/blob/master/docs/source/cleanlab/datalab/guide/issue_type_description.rst) with a brief description of your new issue type. +It is ideal to stick to a format that maintains consistency and readability. +Generally, the format includes a title, explanation of the issue, required arguments, then any additional information. +It would be helpful to include a tip for users on how to detect the issue using Datalab. Try to add tests for this new issue type. It's a good idea to start with some tests in a separate module in the [issue manager test directory](https://github.com/cleanlab/cleanlab/tree/master/tests/datalab/issue_manager). + ## Documentation You can build the docs from your local cleanlab version by following [these @@ -249,7 +253,6 @@ instructions](./docs/README.md#build-the-cleanlab-docs-locally). If editing existing docs or adding new tutorials, please first read through our [guidelines](./docs/README.md#tips-for-editing-docstutorials). - ## Documentation style cleanlab uses [NumPy diff --git a/docs/requirements.txt b/docs/requirements.txt index 26fcaac785..881cf2b039 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -12,6 +12,7 @@ sphinx-multiversion==0.2.4 sphinx-copybutton==0.5.2 sphinxcontrib-katex==0.9.9 sphinxcontrib-gtagjs==0.2.1 +sphinx-jinja==2.0.2 sphinx-autodoc-typehints==1.25.2 sphinxext-opengraph==0.9.1 matplotlib==3.7.4 diff --git a/docs/source/cleanlab/datalab/guide/_templates/issue_types_tip.rst b/docs/source/cleanlab/datalab/guide/_templates/issue_types_tip.rst new file mode 100644 index 0000000000..5b8ee6144f --- /dev/null +++ b/docs/source/cleanlab/datalab/guide/_templates/issue_types_tip.rst @@ -0,0 +1,10 @@ +.. tip:: + + This type of issue has the issue name `"{{issue_name}}"`. + + Run a check for this particular kind of issue by calling :py:meth:`Datalab.find_issues() <cleanlab.datalab.datalab.Datalab.find_issues>` like so: + + .. code-block:: python + + # `lab` is a Datalab instance + lab.find_issues(..., issue_types = {"{{issue_name}}": {}}) diff --git a/docs/source/cleanlab/datalab/guide/issue_type_description.rst b/docs/source/cleanlab/datalab/guide/issue_type_description.rst index 21c3bfa3b0..3fb6b5ff55 100644 --- a/docs/source/cleanlab/datalab/guide/issue_type_description.rst +++ b/docs/source/cleanlab/datalab/guide/issue_type_description.rst @@ -41,8 +41,8 @@ Label Issue Examples whose given label is estimated to be potentially incorrect (e.g. due to annotation error) are flagged as having label issues. Datalab estimates which examples appear mislabeled as well as a numeric label quality score for each, which quantifies the likelihood that an example is correctly labeled. -For now, Datalab can only detect label issues in a multi-class classification dataset. -The cleanlab library has alternative methods you can us to detect label issues in other types of datasets (multi-label, multi-annotator, token classification, etc.). +For now, Datalab can only detect label issues in multi-class classification datasets, regression datasets, and multi-label classification datasets. +The cleanlab library has alternative methods you can us to detect label issues in other types of datasets (multi-annotator, token classification, etc.). Label issues are calculated based on provided `pred_probs` from a trained model. If you do not provide this argument, but you do provide `features`, then a K Nearest Neighbor model will be fit to produce `pred_probs` based on your `features`. Otherwise if neither `pred_probs` nor `features` is provided, then this type of issue will not be considered. For the most accurate results, provide out-of-sample `pred_probs` which can be obtained for a dataset via `cross-validation <https://docs.cleanlab.ai/stable/tutorials/pred_probs_cross_val.html>`_. @@ -53,6 +53,12 @@ To handle mislabeled examples, you can either filter out the data with label iss Learn more about the method used to detect label issues in our paper: `Confident Learning: Estimating Uncertainty in Dataset Labels <https://arxiv.org/abs/1911.00068>`_ +.. jinja :: + + {% with issue_name = "label" %} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + Outlier Issue ------------- @@ -73,6 +79,12 @@ Closely inspect them and consider removing some outliers that may be negatively Learn more about the methods used to detect outliers in our article: `Out-of-Distribution Detection via Embeddings or Predictions <https://cleanlab.ai/blog/outlier-detection/>`_ +.. jinja :: + + {% with issue_name = "outlier" %} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + (Near) Duplicate Issue ---------------------- @@ -94,6 +106,11 @@ Including near-duplicate examples in a dataset may negatively impact a ML model' In particular, it is questionable to include examples in a test dataset which are (nearly) duplicated in the corresponding training dataset. More generally, examples which happen to be duplicated can affect the final modeling results much more than other examples — so you should at least be aware of their presence. +.. jinja :: + + {% with issue_name = "near_duplicate" %} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} Non-IID Issue ------------- @@ -113,6 +130,12 @@ The assumption that examples in a dataset are Independent and Identically Distri For datasets with low non-IID score, you should consider why your data are not IID and act accordingly. For example, if the data distribution is drifting over time, consider employing a time-based train/test split instead of a random partition. Note that shuffling the data ahead of time will ensure a good non-IID score, but this is not always a fix to the underlying problem (e.g. future deployment data may stem from a different distribution, or you may overlook the fact that examples influence each other). We thus recommend **not** shuffling your data to be able to diagnose this issue if it exists. +.. jinja :: + + {% with issue_name = "non_iid" %} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + Class Imbalance Issue --------------------- @@ -122,6 +145,12 @@ In a dataset identified as having class imbalance, the class imbalance quality s Class imbalance in a dataset can lead to subpar model performance for the under-represented class. Consider collecting more data from the under-represented class, or at least take special care while modeling via techniques like over/under-sampling, SMOTE, asymmetric class weighting, etc. +.. jinja :: + + {% with issue_name = "class_imbalance" %} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + Image-specific Issues --------------------- @@ -130,19 +159,30 @@ Specifically, low-quality images which are too: dark/bright, blurry, low informa Descriptions of these image-specific issues are provided in the `CleanVision package <https://github.com/cleanlab/cleanvision>`_ and its documentation. Underperforming Group Issue ------------------------------- +--------------------------- An underperforming group refers to a cluster of similar examples (i.e. a slice) in the dataset for which the ML model predictions are poor. The examples in this underperforming group may have noisy labels or feature values, or the trained ML model may not have learned how to properly handle them (consider collecting more data from this subpopulation or up-weighting the existing data from this group). -Underperforming Group issues are detected based on provided `features` and `pred_probs`. +Underperforming Group issues are detected based on one of: + +- provided `pred_probs` and `features`, +- provided `pred_probs` and `knn_graph`, or +- provided `pred_probs` and `cluster_ids`. (This option is for advanced users, see the `FAQ <../../../tutorials/faq.html#How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?>`_ for more details.) + If you do not provide both these arguments, this type of issue will not be considered. To find the underperforming group, Cleanlab clusters the data using the provided `features` and determines the cluster `c` with the lowest average model predictive performance. Model predictive performance is evaluated via the model's self-confidence of the given labels, calculated using :py:func:`rank.get_self_confidence_for_each_label <cleanlab.rank.get_self_confidence_for_each_label>`. Suppose the average predictive power across the full dataset is `r` and is `q` within a cluster of examples. This cluster is considered to be an underperforming group if `q/r` falls below a threshold. A dataset suffers from the Underperforming Group issue if there exists such a cluster within it. The underperforming group quality score is equal to `q/r` for examples belonging to the underperforming group, and is equal to 1 for all other examples. Advanced users: If you have pre-computed cluster assignments for each example in the dataset, you can pass them explicitly to :py:meth:`Datalab.find_issues <cleanlab.datalab.datalab.Datalab.find_issues>` using the `cluster_ids` key in the `issue_types` dict argument. This is useful for tabular datasets where you want to group/slice the data based on a categorical column. An integer encoding of the categorical column can be passed as cluster assignments for finding the underperforming group, based on the data slices you define. +.. jinja :: + + {% with issue_name = "underperforming_group" %} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + Null Issue ------------ +---------- Examples identified with the null issue correspond to rows that have null/missing values across all feature columns (i.e. the entire row is missing values). @@ -154,15 +194,27 @@ equals the average of the individual examples' quality scores. Presence of null examples in the dataset can lead to errors when training ML models. It can also result in the model learning incorrect patterns due to the null values. +.. jinja :: + + {% with issue_name = "null"%} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + Data Valuation Issue -------------------- The examples in the dataset with lowest data valuation scores contribute least to a trained ML model's performance (those whose value falls below a threshold are flagged with this type of issue). -Data valuation issues can only be detected based on a provided `knn_graph`` (or one pre-computed during the computation of other issue types). If you do not provide this argument and there isn't a `knn_graph` already stored in the Datalab object, this type of issue will not be considered. +Data valuation issues can only be detected based on a provided `knn_graph` (or one pre-computed during the computation of other issue types). If you do not provide this argument and there isn't a `knn_graph` already stored in the Datalab object, this type of issue will not be considered. The data valuation score is an approximate Data Shapley value, calculated based on the labels of the top k nearest neighbors of an example. The details of this KNN-Shapley value could be found in the papers: `Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms <https://arxiv.org/abs/1908.08619>`_ and `Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? <https://arxiv.org/abs/1911.07128>`_. +.. jinja :: + + {% with issue_name = "data_valuation"%} + {% include "cleanlab/datalab/guide/_templates/issue_types_tip.rst" %} + {% endwith %} + Optional Issue Parameters ========================= @@ -176,7 +228,7 @@ Appropriate defaults are used for any parameters you do not specify, so no need "label": label_kwargs, "outlier": outlier_kwargs, "near_duplicate": near_duplicate_kwargs, "non_iid": non_iid_kwargs, "class_imbalance": class_imbalance_kwargs, "underperforming_group": underperforming_group_kwargs, - "null": null_kwargs + "null": null_kwargs, "data_valuation": data_valuation_kwargs, } @@ -284,7 +336,7 @@ Imbalance Issue Parameters For more information, view the source code of: :py:class:`datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager <cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager>`. Underperforming Group Issue Parameters --------------------------- +-------------------------------------- .. code-block:: python @@ -318,7 +370,7 @@ Null Issue Parameters For more information, view the source code of: :py:class:`datalab.internal.issue_manager.null.NullIssueManager <cleanlab.datalab.internal.issue_manager.null.NullIssueManager>`. Data Valuation Issue Parameters --------------------------- +------------------------------- .. code-block:: python @@ -331,7 +383,7 @@ Data Valuation Issue Parameters For more information, view the source code of: :py:class:`datalab.internal.issue_manager.data_valuation.DataValuationIssueManager <cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager>`. Image Issue Parameters --------------------------- +---------------------- To customize optional parameters for specific image issue types, you can provide a dictionary format corresponding to each image issue. The following codeblock demonstrates how to specify optional parameters for all image issues. However, it's important to note that providing optional parameters for specific image issues is not mandatory. If no specific parameters are provided, defaults will be used for those issues. diff --git a/docs/source/conf.py b/docs/source/conf.py index 0f0f1b1b4d..25d7758f7b 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -54,6 +54,7 @@ "sphinx_copybutton", "sphinxcontrib.katex", "sphinxcontrib.gtagjs", + "sphinx_jinja", "sphinx_autodoc_typehints", "sphinx.ext.doctest", "sphinxext.opengraph",
exact issue name should be listed for each issue type in the Datalab Issue Type Guide Otherwise it's hard to know how to run an audit for this issue type (eg. data valuation say).
networkx__networkx-2883
[ { "content": "# Copyright (C) 2013-2018 by\n# Aric Hagberg <[email protected]>\n# Dan Schult <[email protected]>\n# Pieter Swart <[email protected]>\n# All rights reserved.\n# BSD license.\n#\n# Authors: James Clough <[email protected]>\n# Aric Hagberg <[email protected]>\n# Pieter Swart <[email protected]>\n# Dan Schult <[email protected]>\n# chebee7i <[email protected]>\n\"\"\"Functions for generating line graphs.\"\"\"\nfrom itertools import combinations\nfrom collections import defaultdict\n\nimport networkx as nx\nfrom networkx.utils import arbitrary_element\nfrom networkx.utils.decorators import *\n\n__all__ = ['line_graph', 'inverse_line_graph']\n\n\n@not_implemented_for('multigraph')\ndef line_graph(G, create_using=None):\n \"\"\"Returns the line graph of the graph or digraph `G`.\n\n The line graph of a graph `G` has a node for each edge in `G` and an\n edge joining those nodes if the two edges in `G` share a common node. For\n directed graphs, nodes are adjacent exactly when the edges they represent\n form a directed path of length two.\n\n The nodes of the line graph are 2-tuples of nodes in the original graph (or\n 3-tuples for multigraphs, with the key of the edge as the third element).\n\n For information about self-loops and more discussion, see the **Notes**\n section below.\n\n Parameters\n ----------\n G : graph\n A NetworkX Graph, DiGraph, MultiGraph, or MultiDigraph.\n\n Returns\n -------\n L : graph\n The line graph of G.\n\n Examples\n --------\n >>> import networkx as nx\n >>> G = nx.star_graph(3)\n >>> L = nx.line_graph(G)\n >>> print(sorted(map(sorted, L.edges()))) # makes a 3-clique, K3\n [[(0, 1), (0, 2)], [(0, 1), (0, 3)], [(0, 2), (0, 3)]]\n\n Notes\n -----\n Graph, node, and edge data are not propagated to the new graph. For\n undirected graphs, the nodes in G must be sortable, otherwise the\n constructed line graph may not be correct.\n\n *Self-loops in undirected graphs*\n\n For an undirected graph `G` without multiple edges, each edge can be\n written as a set `\\{u, v\\}`. Its line graph `L` has the edges of `G` as\n its nodes. If `x` and `y` are two nodes in `L`, then `\\{x, y\\}` is an edge\n in `L` if and only if the intersection of `x` and `y` is nonempty. Thus,\n the set of all edges is determined by the set of all pairwise intersections\n of edges in `G`.\n\n Trivially, every edge in G would have a nonzero intersection with itself,\n and so every node in `L` should have a self-loop. This is not so\n interesting, and the original context of line graphs was with simple\n graphs, which had no self-loops or multiple edges. The line graph was also\n meant to be a simple graph and thus, self-loops in `L` are not part of the\n standard definition of a line graph. In a pairwise intersection matrix,\n this is analogous to excluding the diagonal entries from the line graph\n definition.\n\n Self-loops and multiple edges in `G` add nodes to `L` in a natural way, and\n do not require any fundamental changes to the definition. It might be\n argued that the self-loops we excluded before should now be included.\n However, the self-loops are still \"trivial\" in some sense and thus, are\n usually excluded.\n\n *Self-loops in directed graphs*\n\n For a directed graph `G` without multiple edges, each edge can be written\n as a tuple `(u, v)`. Its line graph `L` has the edges of `G` as its\n nodes. If `x` and `y` are two nodes in `L`, then `(x, y)` is an edge in `L`\n if and only if the tail of `x` matches the head of `y`, for example, if `x\n = (a, b)` and `y = (b, c)` for some vertices `a`, `b`, and `c` in `G`.\n\n Due to the directed nature of the edges, it is no longer the case that\n every edge in `G` should have a self-loop in `L`. Now, the only time\n self-loops arise is if a node in `G` itself has a self-loop. So such\n self-loops are no longer \"trivial\" but instead, represent essential\n features of the topology of `G`. For this reason, the historical\n development of line digraphs is such that self-loops are included. When the\n graph `G` has multiple edges, once again only superficial changes are\n required to the definition.\n\n References\n ----------\n * Harary, Frank, and Norman, Robert Z., \"Some properties of line digraphs\",\n Rend. Circ. Mat. Palermo, II. Ser. 9 (1960), 161--168.\n * Hemminger, R. L.; Beineke, L. W. (1978), \"Line graphs and line digraphs\",\n in Beineke, L. W.; Wilson, R. J., Selected Topics in Graph Theory,\n Academic Press Inc., pp. 271--305.\n\n \"\"\"\n if G.is_directed():\n L = _lg_directed(G, create_using=create_using)\n else:\n L = _lg_undirected(G, selfloops=False, create_using=create_using)\n return L\n\n\ndef _node_func(G):\n \"\"\"Returns a function which returns a sorted node for line graphs.\n\n When constructing a line graph for undirected graphs, we must normalize\n the ordering of nodes as they appear in the edge.\n\n \"\"\"\n if G.is_multigraph():\n def sorted_node(u, v, key):\n return (u, v, key) if u <= v else (v, u, key)\n else:\n def sorted_node(u, v):\n return (u, v) if u <= v else (v, u)\n return sorted_node\n\n\ndef _edge_func(G):\n \"\"\"Returns the edges from G, handling keys for multigraphs as necessary.\n\n \"\"\"\n if G.is_multigraph():\n def get_edges(nbunch=None):\n return G.edges(nbunch, keys=True)\n else:\n def get_edges(nbunch=None):\n return G.edges(nbunch)\n return get_edges\n\n\ndef _sorted_edge(u, v):\n \"\"\"Returns a sorted edge.\n\n During the construction of a line graph for undirected graphs, the data\n structure can be a multigraph even though the line graph will never have\n multiple edges between its nodes. For this reason, we must make sure not\n to add any edge more than once. This requires that we build up a list of\n edges to add and then remove all duplicates. And so, we must normalize\n the representation of the edges.\n\n \"\"\"\n return (u, v) if u <= v else (v, u)\n\n\ndef _lg_directed(G, create_using=None):\n \"\"\"Return the line graph L of the (multi)digraph G.\n\n Edges in G appear as nodes in L, represented as tuples of the form (u,v)\n or (u,v,key) if G is a multidigraph. A node in L corresponding to the edge\n (u,v) is connected to every node corresponding to an edge (v,w).\n\n Parameters\n ----------\n G : digraph\n A directed graph or directed multigraph.\n create_using : None\n A digraph instance used to populate the line graph.\n\n \"\"\"\n if create_using is None:\n L = G.fresh_copy()\n else:\n L = create_using\n\n # Create a graph specific edge function.\n get_edges = _edge_func(G)\n\n for from_node in get_edges():\n # from_node is: (u,v) or (u,v,key)\n L.add_node(from_node)\n for to_node in get_edges(from_node[1]):\n L.add_edge(from_node, to_node)\n\n return L\n\n\ndef _lg_undirected(G, selfloops=False, create_using=None):\n \"\"\"Return the line graph L of the (multi)graph G.\n\n Edges in G appear as nodes in L, represented as sorted tuples of the form\n (u,v), or (u,v,key) if G is a multigraph. A node in L corresponding to\n the edge {u,v} is connected to every node corresponding to an edge that\n involves u or v.\n\n Parameters\n ----------\n G : graph\n An undirected graph or multigraph.\n selfloops : bool\n If `True`, then self-loops are included in the line graph. If `False`,\n they are excluded.\n create_using : None\n A graph instance used to populate the line graph.\n\n Notes\n -----\n The standard algorithm for line graphs of undirected graphs does not\n produce self-loops.\n\n \"\"\"\n if create_using is None:\n L = G.fresh_copy()\n else:\n L = create_using\n\n # Graph specific functions for edges and sorted nodes.\n get_edges = _edge_func(G)\n sorted_node = _node_func(G)\n\n # Determine if we include self-loops or not.\n shift = 0 if selfloops else 1\n\n edges = set([])\n for u in G:\n # Label nodes as a sorted tuple of nodes in original graph.\n nodes = [sorted_node(*x) for x in get_edges(u)]\n\n if len(nodes) == 1:\n # Then the edge will be an isolated node in L.\n L.add_node(nodes[0])\n\n # Add a clique of `nodes` to graph. To prevent double adding edges,\n # especially important for multigraphs, we store the edges in\n # canonical form in a set.\n for i, a in enumerate(nodes):\n edges.update([_sorted_edge(a, b) for b in nodes[i + shift:]])\n\n L.add_edges_from(edges)\n return L\n\n\n@not_implemented_for('directed')\n@not_implemented_for('multigraph')\ndef inverse_line_graph(G):\n \"\"\" Returns the inverse line graph of graph G.\n\n If H is a graph, and G is the line graph of H, such that H = L(G).\n Then H is the inverse line graph of G.\n\n Not all graphs are line graphs and these do not have an inverse line graph.\n In these cases this generator returns a NetworkXError.\n\n Parameters\n ----------\n G : graph\n A NetworkX Graph\n\n Returns\n -------\n H : graph\n The inverse line graph of G.\n\n Raises\n ------\n NetworkXNotImplemented\n If G is directed or a multigraph\n\n NetworkXError\n If G is not a line graph\n\n Notes\n -----\n This is an implementation of the Roussopoulos algorithm.\n\n References\n ----------\n * Roussopolous, N, \"A max {m, n} algorithm for determining the graph H from\n its line graph G\", Information Processing Letters 2, (1973), 108--112.\n\n \"\"\"\n if G.number_of_edges() == 0 or G.number_of_nodes() == 0:\n msg = \"G is not a line graph (has zero vertices or edges)\"\n raise nx.NetworkXError(msg)\n\n starting_cell = _select_starting_cell(G)\n P = _find_partition(G, starting_cell)\n # count how many times each vertex appears in the partition set\n P_count = {u: 0 for u in G.nodes()}\n for p in P:\n for u in p:\n P_count[u] += 1\n\n if max(P_count.values()) > 2:\n msg = \"G is not a line graph (vertex found in more \" \\\n \"than two partition cells)\"\n raise nx.NetworkXError(msg)\n W = tuple([(u,) for u in P_count if P_count[u] == 1])\n H = nx.Graph()\n H.add_nodes_from(P)\n H.add_nodes_from(W)\n for a, b in combinations(H.nodes(), 2):\n if len(set(a).intersection(set(b))) > 0:\n H.add_edge(a, b)\n return H\n\n\ndef _triangles(G, e):\n \"\"\" Return list of all triangles containing edge e\"\"\"\n u, v = e\n if u not in G:\n raise nx.NetworkXError(\"Vertex %s not in graph\" % u)\n if v not in G.neighbors(u):\n raise nx.NetworkXError(\"Edge (%s, %s) not in graph\" % (u, v))\n triangle_list = []\n for x in G.neighbors(u):\n if x in G.neighbors(v):\n triangle_list.append((u, v, x))\n return triangle_list\n\n\ndef _odd_triangle(G, T):\n \"\"\" Test whether T is an odd triangle in G\n\n Parameters\n ----------\n G : NetworkX Graph\n T : 3-tuple of vertices forming triangle in G\n\n Returns\n -------\n True is T is an odd triangle\n False otherwise\n\n Raises\n ------\n NetworkXError\n T is not a triangle in G\n\n Notes\n -----\n An odd triangle is one in which there exists another vertex in G which is\n adjacent to either exactly one or exactly all three of the vertices in the\n triangle.\n\n \"\"\"\n for u in T:\n if u not in G.nodes():\n raise nx.NetworkXError(\"Vertex %s not in graph\" % u)\n for e in list(combinations(T, 2)):\n if e[0] not in G.neighbors(e[1]):\n raise nx.NetworkXError(\"Edge (%s, %s) not in graph\" % (e[0], e[1]))\n\n T_neighbors = defaultdict(int)\n for t in T:\n for v in G.neighbors(t):\n if v not in T:\n T_neighbors[v] += 1\n for v in T_neighbors:\n if T_neighbors[v] in [1, 3]:\n return True\n return False\n\n\ndef _find_partition(G, starting_cell):\n \"\"\" Find a partition of the vertices of G into cells of complete graphs\n\n Parameters\n ----------\n G : NetworkX Graph\n starting_cell : tuple of vertices in G which form a cell\n\n Returns\n -------\n List of tuples of vertices of G\n\n Raises\n ------\n NetworkXError\n If a cell is not a complete subgraph then G is not a line graph\n \"\"\"\n G_partition = G.copy()\n P = [starting_cell] # partition set\n G_partition.remove_edges_from(list(combinations(starting_cell, 2)))\n # keep list of partitioned nodes which might have an edge in G_partition\n partitioned_vertices = list(starting_cell)\n while G_partition.number_of_edges() > 0:\n # there are still edges left and so more cells to be made\n u = partitioned_vertices[-1]\n deg_u = len(G_partition[u])\n if deg_u == 0:\n # if u has no edges left in G_partition then we have found\n # all of its cells so we do not need to keep looking\n partitioned_vertices.pop()\n else:\n # if u still has edges then we need to find its other cell\n # this other cell must be a complete subgraph or else G is\n # not a line graph\n new_cell = [u] + list(G_partition.neighbors(u))\n for u in new_cell:\n for v in new_cell:\n if (u != v) and (v not in G.neighbors(u)):\n msg = \"G is not a line graph\" \\\n \"(partition cell not a complete subgraph)\"\n raise nx.NetworkXError(msg)\n P.append(tuple(new_cell))\n G_partition.remove_edges_from(list(combinations(new_cell, 2)))\n partitioned_vertices += new_cell\n return P\n\n\ndef _select_starting_cell(G, starting_edge=None):\n \"\"\" Select a cell to initiate _find_partition\n\n Parameters\n ----------\n G : NetworkX Graph\n starting_edge: an edge to build the starting cell from\n\n Returns\n -------\n Tuple of vertices in G\n\n Raises\n ------\n NetworkXError\n If it is determined that G is not a line graph\n\n Notes\n -----\n If starting edge not specified then pick an arbitrary edge - doesn't\n matter which. However, this function may call itself requiring a\n specific starting edge. Note that the r, s notation for counting\n triangles is the same as in the Roussopoulos paper cited above.\n \"\"\"\n if starting_edge is None:\n e = arbitrary_element(list(G.edges()))\n else:\n e = starting_edge\n if e[0] not in G[e[1]]:\n msg = 'starting_edge (%s, %s) is not in the Graph'\n raise nx.NetworkXError(msg % e)\n e_triangles = _triangles(G, e)\n r = len(e_triangles)\n if r == 0:\n # there are no triangles containing e, so the starting cell is just e\n starting_cell = e\n elif r == 1:\n # there is exactly one triangle, T, containing e. If other 2 edges\n # of T belong only to this triangle then T is starting cell\n T = e_triangles[0]\n a, b, c = T\n # ab was original edge so check the other 2 edges\n ac_edges = [x for x in _triangles(G, (a, c))]\n bc_edges = [x for x in _triangles(G, (b, c))]\n if len(ac_edges) == 1:\n if len(bc_edges) == 1:\n starting_cell = T\n else:\n return _select_starting_cell(G, starting_edge=(b, c))\n else:\n return _select_starting_cell(G, starting_edge=(a, c))\n else:\n # r >= 2 so we need to count the number of odd triangles, s\n s = 0\n odd_triangles = []\n for T in e_triangles:\n if _odd_triangle(G, T):\n s += 1\n odd_triangles.append(T)\n if r == 2 and s == 0:\n # in this case either triangle works, so just use T\n starting_cell = T\n elif r - 1 <= s <= r:\n # check if odd triangles containing e form complete subgraph\n # there must be exactly s+2 of them\n # and they must all be connected\n triangle_nodes = set([])\n for T in odd_triangles:\n for x in T:\n triangle_nodes.add(x)\n if len(triangle_nodes) == s + 2:\n for u in triangle_nodes:\n for v in triangle_nodes:\n if u != v and (v not in G.neighbors(u)):\n msg = \"G is not a line graph (odd triangles \" \\\n \"do not form complete subgraph)\"\n raise nx.NetworkXError(msg)\n # otherwise then we can use this as the starting cell\n starting_cell = tuple(triangle_nodes)\n else:\n msg = \"G is not a line graph (odd triangles \" \\\n \"do not form complete subgraph)\"\n raise nx.NetworkXError(msg)\n else:\n msg = \"G is not a line graph (incorrect number of \" \\\n \"odd triangles around starting edge)\"\n raise nx.NetworkXError(msg)\n return starting_cell\n", "path": "networkx/generators/line.py" } ]
[ { "content": "# Copyright (C) 2013-2018 by\n# Aric Hagberg <[email protected]>\n# Dan Schult <[email protected]>\n# Pieter Swart <[email protected]>\n# All rights reserved.\n# BSD license.\n#\n# Authors: James Clough <[email protected]>\n# Aric Hagberg <[email protected]>\n# Pieter Swart <[email protected]>\n# Dan Schult <[email protected]>\n# chebee7i <[email protected]>\n\"\"\"Functions for generating line graphs.\"\"\"\nfrom itertools import combinations\nfrom collections import defaultdict\n\nimport networkx as nx\nfrom networkx.utils import arbitrary_element\nfrom networkx.utils.decorators import *\n\n__all__ = ['line_graph', 'inverse_line_graph']\n\n\ndef line_graph(G, create_using=None):\n \"\"\"Returns the line graph of the graph or digraph `G`.\n\n The line graph of a graph `G` has a node for each edge in `G` and an\n edge joining those nodes if the two edges in `G` share a common node. For\n directed graphs, nodes are adjacent exactly when the edges they represent\n form a directed path of length two.\n\n The nodes of the line graph are 2-tuples of nodes in the original graph (or\n 3-tuples for multigraphs, with the key of the edge as the third element).\n\n For information about self-loops and more discussion, see the **Notes**\n section below.\n\n Parameters\n ----------\n G : graph\n A NetworkX Graph, DiGraph, MultiGraph, or MultiDigraph.\n\n Returns\n -------\n L : graph\n The line graph of G.\n\n Examples\n --------\n >>> import networkx as nx\n >>> G = nx.star_graph(3)\n >>> L = nx.line_graph(G)\n >>> print(sorted(map(sorted, L.edges()))) # makes a 3-clique, K3\n [[(0, 1), (0, 2)], [(0, 1), (0, 3)], [(0, 2), (0, 3)]]\n\n Notes\n -----\n Graph, node, and edge data are not propagated to the new graph. For\n undirected graphs, the nodes in G must be sortable, otherwise the\n constructed line graph may not be correct.\n\n *Self-loops in undirected graphs*\n\n For an undirected graph `G` without multiple edges, each edge can be\n written as a set `\\{u, v\\}`. Its line graph `L` has the edges of `G` as\n its nodes. If `x` and `y` are two nodes in `L`, then `\\{x, y\\}` is an edge\n in `L` if and only if the intersection of `x` and `y` is nonempty. Thus,\n the set of all edges is determined by the set of all pairwise intersections\n of edges in `G`.\n\n Trivially, every edge in G would have a nonzero intersection with itself,\n and so every node in `L` should have a self-loop. This is not so\n interesting, and the original context of line graphs was with simple\n graphs, which had no self-loops or multiple edges. The line graph was also\n meant to be a simple graph and thus, self-loops in `L` are not part of the\n standard definition of a line graph. In a pairwise intersection matrix,\n this is analogous to excluding the diagonal entries from the line graph\n definition.\n\n Self-loops and multiple edges in `G` add nodes to `L` in a natural way, and\n do not require any fundamental changes to the definition. It might be\n argued that the self-loops we excluded before should now be included.\n However, the self-loops are still \"trivial\" in some sense and thus, are\n usually excluded.\n\n *Self-loops in directed graphs*\n\n For a directed graph `G` without multiple edges, each edge can be written\n as a tuple `(u, v)`. Its line graph `L` has the edges of `G` as its\n nodes. If `x` and `y` are two nodes in `L`, then `(x, y)` is an edge in `L`\n if and only if the tail of `x` matches the head of `y`, for example, if `x\n = (a, b)` and `y = (b, c)` for some vertices `a`, `b`, and `c` in `G`.\n\n Due to the directed nature of the edges, it is no longer the case that\n every edge in `G` should have a self-loop in `L`. Now, the only time\n self-loops arise is if a node in `G` itself has a self-loop. So such\n self-loops are no longer \"trivial\" but instead, represent essential\n features of the topology of `G`. For this reason, the historical\n development of line digraphs is such that self-loops are included. When the\n graph `G` has multiple edges, once again only superficial changes are\n required to the definition.\n\n References\n ----------\n * Harary, Frank, and Norman, Robert Z., \"Some properties of line digraphs\",\n Rend. Circ. Mat. Palermo, II. Ser. 9 (1960), 161--168.\n * Hemminger, R. L.; Beineke, L. W. (1978), \"Line graphs and line digraphs\",\n in Beineke, L. W.; Wilson, R. J., Selected Topics in Graph Theory,\n Academic Press Inc., pp. 271--305.\n\n \"\"\"\n if G.is_directed():\n L = _lg_directed(G, create_using=create_using)\n else:\n L = _lg_undirected(G, selfloops=False, create_using=create_using)\n return L\n\n\ndef _node_func(G):\n \"\"\"Returns a function which returns a sorted node for line graphs.\n\n When constructing a line graph for undirected graphs, we must normalize\n the ordering of nodes as they appear in the edge.\n\n \"\"\"\n if G.is_multigraph():\n def sorted_node(u, v, key):\n return (u, v, key) if u <= v else (v, u, key)\n else:\n def sorted_node(u, v):\n return (u, v) if u <= v else (v, u)\n return sorted_node\n\n\ndef _edge_func(G):\n \"\"\"Returns the edges from G, handling keys for multigraphs as necessary.\n\n \"\"\"\n if G.is_multigraph():\n def get_edges(nbunch=None):\n return G.edges(nbunch, keys=True)\n else:\n def get_edges(nbunch=None):\n return G.edges(nbunch)\n return get_edges\n\n\ndef _sorted_edge(u, v):\n \"\"\"Returns a sorted edge.\n\n During the construction of a line graph for undirected graphs, the data\n structure can be a multigraph even though the line graph will never have\n multiple edges between its nodes. For this reason, we must make sure not\n to add any edge more than once. This requires that we build up a list of\n edges to add and then remove all duplicates. And so, we must normalize\n the representation of the edges.\n\n \"\"\"\n return (u, v) if u <= v else (v, u)\n\n\ndef _lg_directed(G, create_using=None):\n \"\"\"Return the line graph L of the (multi)digraph G.\n\n Edges in G appear as nodes in L, represented as tuples of the form (u,v)\n or (u,v,key) if G is a multidigraph. A node in L corresponding to the edge\n (u,v) is connected to every node corresponding to an edge (v,w).\n\n Parameters\n ----------\n G : digraph\n A directed graph or directed multigraph.\n create_using : None\n A digraph instance used to populate the line graph.\n\n \"\"\"\n if create_using is None:\n L = G.fresh_copy()\n else:\n L = create_using\n\n # Create a graph specific edge function.\n get_edges = _edge_func(G)\n\n for from_node in get_edges():\n # from_node is: (u,v) or (u,v,key)\n L.add_node(from_node)\n for to_node in get_edges(from_node[1]):\n L.add_edge(from_node, to_node)\n\n return L\n\n\ndef _lg_undirected(G, selfloops=False, create_using=None):\n \"\"\"Return the line graph L of the (multi)graph G.\n\n Edges in G appear as nodes in L, represented as sorted tuples of the form\n (u,v), or (u,v,key) if G is a multigraph. A node in L corresponding to\n the edge {u,v} is connected to every node corresponding to an edge that\n involves u or v.\n\n Parameters\n ----------\n G : graph\n An undirected graph or multigraph.\n selfloops : bool\n If `True`, then self-loops are included in the line graph. If `False`,\n they are excluded.\n create_using : None\n A graph instance used to populate the line graph.\n\n Notes\n -----\n The standard algorithm for line graphs of undirected graphs does not\n produce self-loops.\n\n \"\"\"\n if create_using is None:\n L = G.fresh_copy()\n else:\n L = create_using\n\n # Graph specific functions for edges and sorted nodes.\n get_edges = _edge_func(G)\n sorted_node = _node_func(G)\n\n # Determine if we include self-loops or not.\n shift = 0 if selfloops else 1\n\n edges = set([])\n for u in G:\n # Label nodes as a sorted tuple of nodes in original graph.\n nodes = [sorted_node(*x) for x in get_edges(u)]\n\n if len(nodes) == 1:\n # Then the edge will be an isolated node in L.\n L.add_node(nodes[0])\n\n # Add a clique of `nodes` to graph. To prevent double adding edges,\n # especially important for multigraphs, we store the edges in\n # canonical form in a set.\n for i, a in enumerate(nodes):\n edges.update([_sorted_edge(a, b) for b in nodes[i + shift:]])\n\n L.add_edges_from(edges)\n return L\n\n\n@not_implemented_for('directed')\n@not_implemented_for('multigraph')\ndef inverse_line_graph(G):\n \"\"\" Returns the inverse line graph of graph G.\n\n If H is a graph, and G is the line graph of H, such that H = L(G).\n Then H is the inverse line graph of G.\n\n Not all graphs are line graphs and these do not have an inverse line graph.\n In these cases this generator returns a NetworkXError.\n\n Parameters\n ----------\n G : graph\n A NetworkX Graph\n\n Returns\n -------\n H : graph\n The inverse line graph of G.\n\n Raises\n ------\n NetworkXNotImplemented\n If G is directed or a multigraph\n\n NetworkXError\n If G is not a line graph\n\n Notes\n -----\n This is an implementation of the Roussopoulos algorithm.\n\n References\n ----------\n * Roussopolous, N, \"A max {m, n} algorithm for determining the graph H from\n its line graph G\", Information Processing Letters 2, (1973), 108--112.\n\n \"\"\"\n if G.number_of_edges() == 0 or G.number_of_nodes() == 0:\n msg = \"G is not a line graph (has zero vertices or edges)\"\n raise nx.NetworkXError(msg)\n\n starting_cell = _select_starting_cell(G)\n P = _find_partition(G, starting_cell)\n # count how many times each vertex appears in the partition set\n P_count = {u: 0 for u in G.nodes()}\n for p in P:\n for u in p:\n P_count[u] += 1\n\n if max(P_count.values()) > 2:\n msg = \"G is not a line graph (vertex found in more \" \\\n \"than two partition cells)\"\n raise nx.NetworkXError(msg)\n W = tuple([(u,) for u in P_count if P_count[u] == 1])\n H = nx.Graph()\n H.add_nodes_from(P)\n H.add_nodes_from(W)\n for a, b in combinations(H.nodes(), 2):\n if len(set(a).intersection(set(b))) > 0:\n H.add_edge(a, b)\n return H\n\n\ndef _triangles(G, e):\n \"\"\" Return list of all triangles containing edge e\"\"\"\n u, v = e\n if u not in G:\n raise nx.NetworkXError(\"Vertex %s not in graph\" % u)\n if v not in G.neighbors(u):\n raise nx.NetworkXError(\"Edge (%s, %s) not in graph\" % (u, v))\n triangle_list = []\n for x in G.neighbors(u):\n if x in G.neighbors(v):\n triangle_list.append((u, v, x))\n return triangle_list\n\n\ndef _odd_triangle(G, T):\n \"\"\" Test whether T is an odd triangle in G\n\n Parameters\n ----------\n G : NetworkX Graph\n T : 3-tuple of vertices forming triangle in G\n\n Returns\n -------\n True is T is an odd triangle\n False otherwise\n\n Raises\n ------\n NetworkXError\n T is not a triangle in G\n\n Notes\n -----\n An odd triangle is one in which there exists another vertex in G which is\n adjacent to either exactly one or exactly all three of the vertices in the\n triangle.\n\n \"\"\"\n for u in T:\n if u not in G.nodes():\n raise nx.NetworkXError(\"Vertex %s not in graph\" % u)\n for e in list(combinations(T, 2)):\n if e[0] not in G.neighbors(e[1]):\n raise nx.NetworkXError(\"Edge (%s, %s) not in graph\" % (e[0], e[1]))\n\n T_neighbors = defaultdict(int)\n for t in T:\n for v in G.neighbors(t):\n if v not in T:\n T_neighbors[v] += 1\n for v in T_neighbors:\n if T_neighbors[v] in [1, 3]:\n return True\n return False\n\n\ndef _find_partition(G, starting_cell):\n \"\"\" Find a partition of the vertices of G into cells of complete graphs\n\n Parameters\n ----------\n G : NetworkX Graph\n starting_cell : tuple of vertices in G which form a cell\n\n Returns\n -------\n List of tuples of vertices of G\n\n Raises\n ------\n NetworkXError\n If a cell is not a complete subgraph then G is not a line graph\n \"\"\"\n G_partition = G.copy()\n P = [starting_cell] # partition set\n G_partition.remove_edges_from(list(combinations(starting_cell, 2)))\n # keep list of partitioned nodes which might have an edge in G_partition\n partitioned_vertices = list(starting_cell)\n while G_partition.number_of_edges() > 0:\n # there are still edges left and so more cells to be made\n u = partitioned_vertices[-1]\n deg_u = len(G_partition[u])\n if deg_u == 0:\n # if u has no edges left in G_partition then we have found\n # all of its cells so we do not need to keep looking\n partitioned_vertices.pop()\n else:\n # if u still has edges then we need to find its other cell\n # this other cell must be a complete subgraph or else G is\n # not a line graph\n new_cell = [u] + list(G_partition.neighbors(u))\n for u in new_cell:\n for v in new_cell:\n if (u != v) and (v not in G.neighbors(u)):\n msg = \"G is not a line graph\" \\\n \"(partition cell not a complete subgraph)\"\n raise nx.NetworkXError(msg)\n P.append(tuple(new_cell))\n G_partition.remove_edges_from(list(combinations(new_cell, 2)))\n partitioned_vertices += new_cell\n return P\n\n\ndef _select_starting_cell(G, starting_edge=None):\n \"\"\" Select a cell to initiate _find_partition\n\n Parameters\n ----------\n G : NetworkX Graph\n starting_edge: an edge to build the starting cell from\n\n Returns\n -------\n Tuple of vertices in G\n\n Raises\n ------\n NetworkXError\n If it is determined that G is not a line graph\n\n Notes\n -----\n If starting edge not specified then pick an arbitrary edge - doesn't\n matter which. However, this function may call itself requiring a\n specific starting edge. Note that the r, s notation for counting\n triangles is the same as in the Roussopoulos paper cited above.\n \"\"\"\n if starting_edge is None:\n e = arbitrary_element(list(G.edges()))\n else:\n e = starting_edge\n if e[0] not in G[e[1]]:\n msg = 'starting_edge (%s, %s) is not in the Graph'\n raise nx.NetworkXError(msg % e)\n e_triangles = _triangles(G, e)\n r = len(e_triangles)\n if r == 0:\n # there are no triangles containing e, so the starting cell is just e\n starting_cell = e\n elif r == 1:\n # there is exactly one triangle, T, containing e. If other 2 edges\n # of T belong only to this triangle then T is starting cell\n T = e_triangles[0]\n a, b, c = T\n # ab was original edge so check the other 2 edges\n ac_edges = [x for x in _triangles(G, (a, c))]\n bc_edges = [x for x in _triangles(G, (b, c))]\n if len(ac_edges) == 1:\n if len(bc_edges) == 1:\n starting_cell = T\n else:\n return _select_starting_cell(G, starting_edge=(b, c))\n else:\n return _select_starting_cell(G, starting_edge=(a, c))\n else:\n # r >= 2 so we need to count the number of odd triangles, s\n s = 0\n odd_triangles = []\n for T in e_triangles:\n if _odd_triangle(G, T):\n s += 1\n odd_triangles.append(T)\n if r == 2 and s == 0:\n # in this case either triangle works, so just use T\n starting_cell = T\n elif r - 1 <= s <= r:\n # check if odd triangles containing e form complete subgraph\n # there must be exactly s+2 of them\n # and they must all be connected\n triangle_nodes = set([])\n for T in odd_triangles:\n for x in T:\n triangle_nodes.add(x)\n if len(triangle_nodes) == s + 2:\n for u in triangle_nodes:\n for v in triangle_nodes:\n if u != v and (v not in G.neighbors(u)):\n msg = \"G is not a line graph (odd triangles \" \\\n \"do not form complete subgraph)\"\n raise nx.NetworkXError(msg)\n # otherwise then we can use this as the starting cell\n starting_cell = tuple(triangle_nodes)\n else:\n msg = \"G is not a line graph (odd triangles \" \\\n \"do not form complete subgraph)\"\n raise nx.NetworkXError(msg)\n else:\n msg = \"G is not a line graph (incorrect number of \" \\\n \"odd triangles around starting edge)\"\n raise nx.NetworkXError(msg)\n return starting_cell\n", "path": "networkx/generators/line.py" } ]
diff --git a/networkx/generators/line.py b/networkx/generators/line.py index 348335b60e7..eb3fb68fee0 100644 --- a/networkx/generators/line.py +++ b/networkx/generators/line.py @@ -21,7 +21,6 @@ __all__ = ['line_graph', 'inverse_line_graph'] -@not_implemented_for('multigraph') def line_graph(G, create_using=None): """Returns the line graph of the graph or digraph `G`.
Allow line_graph to apply to multigraph The code is written for multigraphs and graphs, but recently put an errant restriction on multigraphs. Line 24 of line.py See #2814 Short term fix is to call ```nx.generators.line._lg_undirected```
mitmproxy__mitmproxy-1442
[ { "content": "from __future__ import absolute_import, print_function, division\n\nimport sys\n\nfrom typing import Optional # noqa\nimport typing # noqa\n\nimport click\n\nfrom mitmproxy import controller\nfrom mitmproxy import exceptions\nfrom mitmproxy import flow\nfrom mitmproxy import builtins\nfrom mitmproxy import utils\nfrom mitmproxy import options\nfrom mitmproxy.builtins import dumper\nfrom netlib import tcp\n\n\nclass DumpError(Exception):\n pass\n\n\nclass Options(options.Options):\n def __init__(\n self,\n keepserving=False, # type: bool\n filtstr=None, # type: Optional[str]\n flow_detail=1, # type: int\n tfile=None, # type: Optional[typing.io.TextIO]\n **kwargs\n ):\n self.filtstr = filtstr\n self.flow_detail = flow_detail\n self.keepserving = keepserving\n self.tfile = tfile\n super(Options, self).__init__(**kwargs)\n\n\nclass DumpMaster(flow.FlowMaster):\n\n def __init__(self, server, options):\n flow.FlowMaster.__init__(self, options, server, flow.State())\n self.has_errored = False\n self.addons.add(options, *builtins.default_addons())\n self.addons.add(options, dumper.Dumper())\n # This line is just for type hinting\n self.options = self.options # type: Options\n self.replay_ignore_params = options.replay_ignore_params\n self.replay_ignore_content = options.replay_ignore_content\n self.replay_ignore_host = options.replay_ignore_host\n self.refresh_server_playback = options.refresh_server_playback\n self.replay_ignore_payload_params = options.replay_ignore_payload_params\n\n self.set_stream_large_bodies(options.stream_large_bodies)\n\n if self.server and self.options.http2 and not tcp.HAS_ALPN: # pragma: no cover\n print(\"ALPN support missing (OpenSSL 1.0.2+ required)!\\n\"\n \"HTTP/2 is disabled. Use --no-http2 to silence this warning.\",\n file=sys.stderr)\n\n if options.server_replay:\n self.start_server_playback(\n self._readflow(options.server_replay),\n options.kill, options.rheaders,\n not options.keepserving,\n options.nopop,\n options.replay_ignore_params,\n options.replay_ignore_content,\n options.replay_ignore_payload_params,\n options.replay_ignore_host\n )\n\n if options.client_replay:\n self.start_client_playback(\n self._readflow(options.client_replay),\n not options.keepserving\n )\n\n if options.rfile:\n try:\n self.load_flows_file(options.rfile)\n except exceptions.FlowReadException as v:\n self.add_log(\"Flow file corrupted.\", \"error\")\n raise DumpError(v)\n\n if self.options.app:\n self.start_app(self.options.app_host, self.options.app_port)\n\n def _readflow(self, paths):\n \"\"\"\n Utitility function that reads a list of flows\n or raises a DumpError if that fails.\n \"\"\"\n try:\n return flow.read_flows_from_paths(paths)\n except exceptions.FlowReadException as e:\n raise DumpError(str(e))\n\n def add_log(self, e, level=\"info\"):\n if level == \"error\":\n self.has_errored = True\n if self.options.verbosity >= utils.log_tier(level):\n click.secho(\n e,\n file=self.options.tfile,\n fg=\"red\" if level == \"error\" else None,\n dim=(level == \"debug\"),\n err=(level == \"error\")\n )\n\n @controller.handler\n def request(self, f):\n f = super(DumpMaster, self).request(f)\n if f:\n self.state.delete_flow(f)\n return f\n\n def run(self): # pragma: no cover\n if self.options.rfile and not self.options.keepserving:\n return\n super(DumpMaster, self).run()\n", "path": "mitmproxy/dump.py" } ]
[ { "content": "from __future__ import absolute_import, print_function, division\n\nimport sys\n\nfrom typing import Optional # noqa\nimport typing # noqa\n\nimport click\n\nfrom mitmproxy import controller\nfrom mitmproxy import exceptions\nfrom mitmproxy import flow\nfrom mitmproxy import builtins\nfrom mitmproxy import utils\nfrom mitmproxy import options\nfrom mitmproxy.builtins import dumper\nfrom netlib import tcp\n\n\nclass DumpError(Exception):\n pass\n\n\nclass Options(options.Options):\n def __init__(\n self,\n keepserving=False, # type: bool\n filtstr=None, # type: Optional[str]\n flow_detail=1, # type: int\n tfile=None, # type: Optional[typing.io.TextIO]\n **kwargs\n ):\n self.filtstr = filtstr\n self.flow_detail = flow_detail\n self.keepserving = keepserving\n self.tfile = tfile\n super(Options, self).__init__(**kwargs)\n\n\nclass DumpMaster(flow.FlowMaster):\n\n def __init__(self, server, options):\n flow.FlowMaster.__init__(self, options, server, flow.State())\n self.has_errored = False\n self.addons.add(options, *builtins.default_addons())\n self.addons.add(options, dumper.Dumper())\n # This line is just for type hinting\n self.options = self.options # type: Options\n self.replay_ignore_params = options.replay_ignore_params\n self.replay_ignore_content = options.replay_ignore_content\n self.replay_ignore_host = options.replay_ignore_host\n self.refresh_server_playback = options.refresh_server_playback\n self.replay_ignore_payload_params = options.replay_ignore_payload_params\n\n self.set_stream_large_bodies(options.stream_large_bodies)\n\n if self.server and self.options.http2 and not tcp.HAS_ALPN: # pragma: no cover\n print(\"ALPN support missing (OpenSSL 1.0.2+ required)!\\n\"\n \"HTTP/2 is disabled. Use --no-http2 to silence this warning.\",\n file=sys.stderr)\n\n if options.server_replay:\n self.start_server_playback(\n self._readflow(options.server_replay),\n options.kill, options.rheaders,\n not options.keepserving,\n options.nopop,\n options.replay_ignore_params,\n options.replay_ignore_content,\n options.replay_ignore_payload_params,\n options.replay_ignore_host\n )\n\n if options.client_replay:\n self.start_client_playback(\n self._readflow(options.client_replay),\n not options.keepserving\n )\n\n if options.rfile:\n try:\n self.load_flows_file(options.rfile)\n except exceptions.FlowReadException as v:\n self.add_log(\"Flow file corrupted.\", \"error\")\n raise DumpError(v)\n\n if self.options.app:\n self.start_app(self.options.app_host, self.options.app_port)\n\n def _readflow(self, paths):\n \"\"\"\n Utitility function that reads a list of flows\n or raises a DumpError if that fails.\n \"\"\"\n try:\n return flow.read_flows_from_paths(paths)\n except exceptions.FlowReadException as e:\n raise DumpError(str(e))\n\n def add_log(self, e, level=\"info\"):\n if level == \"error\":\n self.has_errored = True\n if self.options.verbosity >= utils.log_tier(level):\n click.secho(\n e,\n file=self.options.tfile,\n fg=\"red\" if level == \"error\" else None,\n dim=(level == \"debug\"),\n err=(level == \"error\")\n )\n\n @controller.handler\n def request(self, f):\n f = super(DumpMaster, self).request(f)\n if f:\n self.state.delete_flow(f)\n return f\n\n def run(self): # pragma: no cover\n if self.options.rfile and not self.options.keepserving:\n self.addons.done()\n return\n super(DumpMaster, self).run()\n", "path": "mitmproxy/dump.py" } ]
diff --git a/mitmproxy/dump.py b/mitmproxy/dump.py index 83f44d87a6..e59fd23eb0 100644 --- a/mitmproxy/dump.py +++ b/mitmproxy/dump.py @@ -118,5 +118,6 @@ def request(self, f): def run(self): # pragma: no cover if self.options.rfile and not self.options.keepserving: + self.addons.done() return super(DumpMaster, self).run()
Scripts: "done" hook is not executed. ##### Steps to reproduce the problem: 1. `touch foo` 2. `mitmdump -r foo -s examples\stub.py` ##### What is the expected behavior? ``` start configure done ``` ##### What went wrong? ``` start configure ``` ##### Any other comments? What have you tried so far? Somewhat related: Rename it to `stop` ? --- Mitmproxy Version: master Operating System: Win10 x64
open-telemetry__opentelemetry-python-1657
[ { "content": "# Copyright The OpenTelemetry Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\nimport os\nfrom logging import getLogger\nfrom os import environ\nfrom typing import Sequence, Tuple\n\nfrom pkg_resources import iter_entry_points\n\nfrom opentelemetry import trace\nfrom opentelemetry.environment_variables import (\n OTEL_PYTHON_ID_GENERATOR,\n OTEL_PYTHON_SERVICE_NAME,\n OTEL_TRACES_EXPORTER,\n)\nfrom opentelemetry.instrumentation.configurator import BaseConfigurator\nfrom opentelemetry.instrumentation.distro import BaseDistro\nfrom opentelemetry.sdk.resources import Resource\nfrom opentelemetry.sdk.trace import TracerProvider\nfrom opentelemetry.sdk.trace.export import BatchSpanProcessor, SpanExporter\nfrom opentelemetry.sdk.trace.id_generator import IdGenerator\n\nlogger = getLogger(__file__)\n\n\nEXPORTER_OTLP = \"otlp\"\nEXPORTER_OTLP_SPAN = \"otlp_span\"\n\nRANDOM_ID_GENERATOR = \"random\"\n_DEFAULT_ID_GENERATOR = RANDOM_ID_GENERATOR\n\n\ndef _get_id_generator() -> str:\n return environ.get(OTEL_PYTHON_ID_GENERATOR, _DEFAULT_ID_GENERATOR)\n\n\ndef _get_service_name() -> str:\n return environ.get(OTEL_PYTHON_SERVICE_NAME, \"\")\n\n\ndef _get_exporter_names() -> Sequence[str]:\n trace_exporters = environ.get(OTEL_TRACES_EXPORTER)\n\n exporters = set()\n\n if (\n trace_exporters is not None\n or trace_exporters.lower().strip() != \"none\"\n ):\n exporters.update(\n {\n trace_exporter.strip()\n for trace_exporter in trace_exporters.split(\",\")\n }\n )\n\n if EXPORTER_OTLP in exporters:\n exporters.pop(EXPORTER_OTLP)\n exporters.add(EXPORTER_OTLP_SPAN)\n\n return list(exporters)\n\n\ndef _init_tracing(\n exporters: Sequence[SpanExporter], id_generator: IdGenerator\n):\n service_name = _get_service_name()\n provider = TracerProvider(\n resource=Resource.create({\"service.name\": service_name}),\n id_generator=id_generator(),\n )\n trace.set_tracer_provider(provider)\n\n for exporter_name, exporter_class in exporters.items():\n exporter_args = {}\n if exporter_name not in [\n EXPORTER_OTLP,\n EXPORTER_OTLP_SPAN,\n ]:\n exporter_args[\"service_name\"] = service_name\n\n provider.add_span_processor(\n BatchSpanProcessor(exporter_class(**exporter_args))\n )\n\n\ndef _import_tracer_provider_config_components(\n selected_components, entry_point_name\n) -> Sequence[Tuple[str, object]]:\n component_entry_points = {\n ep.name: ep for ep in iter_entry_points(entry_point_name)\n }\n component_impls = []\n for selected_component in selected_components:\n entry_point = component_entry_points.get(selected_component, None)\n if not entry_point:\n raise RuntimeError(\n \"Requested component '{}' not found in entry points for '{}'\".format(\n selected_component, entry_point_name\n )\n )\n\n component_impl = entry_point.load()\n component_impls.append((selected_component, component_impl))\n\n return component_impls\n\n\ndef _import_exporters(\n exporter_names: Sequence[str],\n) -> Sequence[SpanExporter]:\n trace_exporters = {}\n\n for (\n exporter_name,\n exporter_impl,\n ) in _import_tracer_provider_config_components(\n exporter_names, \"opentelemetry_exporter\"\n ):\n if issubclass(exporter_impl, SpanExporter):\n trace_exporters[exporter_name] = exporter_impl\n else:\n raise RuntimeError(\n \"{0} is not a trace exporter\".format(exporter_name)\n )\n return trace_exporters\n\n\ndef _import_id_generator(id_generator_name: str) -> IdGenerator:\n # pylint: disable=unbalanced-tuple-unpacking\n [\n (id_generator_name, id_generator_impl)\n ] = _import_tracer_provider_config_components(\n [id_generator_name.strip()], \"opentelemetry_id_generator\"\n )\n\n if issubclass(id_generator_impl, IdGenerator):\n return id_generator_impl\n\n raise RuntimeError(\"{0} is not an IdGenerator\".format(id_generator_name))\n\n\ndef _initialize_components():\n exporter_names = _get_exporter_names()\n trace_exporters = _import_exporters(exporter_names)\n id_generator_name = _get_id_generator()\n id_generator = _import_id_generator(id_generator_name)\n _init_tracing(trace_exporters, id_generator)\n\n\nclass Configurator(BaseConfigurator):\n def _configure(self, **kwargs):\n _initialize_components()\n\n\nclass OpenTelemetryDistro(BaseDistro):\n \"\"\"\n The OpenTelemetry provided Distro configures a default set of\n configuration out of the box.\n \"\"\"\n\n def _configure(self, **kwargs):\n os.environ.setdefault(OTEL_TRACES_EXPORTER, \"otlp_span\")\n", "path": "opentelemetry-distro/src/opentelemetry/distro/__init__.py" } ]
[ { "content": "# Copyright The OpenTelemetry Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\nimport os\nfrom logging import getLogger\nfrom os import environ\nfrom typing import Sequence, Tuple\n\nfrom pkg_resources import iter_entry_points\n\nfrom opentelemetry import trace\nfrom opentelemetry.environment_variables import (\n OTEL_PYTHON_ID_GENERATOR,\n OTEL_PYTHON_SERVICE_NAME,\n OTEL_TRACES_EXPORTER,\n)\nfrom opentelemetry.instrumentation.configurator import BaseConfigurator\nfrom opentelemetry.instrumentation.distro import BaseDistro\nfrom opentelemetry.sdk.resources import Resource\nfrom opentelemetry.sdk.trace import TracerProvider\nfrom opentelemetry.sdk.trace.export import BatchSpanProcessor, SpanExporter\nfrom opentelemetry.sdk.trace.id_generator import IdGenerator\n\nlogger = getLogger(__file__)\n\n\nEXPORTER_OTLP = \"otlp\"\nEXPORTER_OTLP_SPAN = \"otlp_span\"\n\nRANDOM_ID_GENERATOR = \"random\"\n_DEFAULT_ID_GENERATOR = RANDOM_ID_GENERATOR\n\n\ndef _get_id_generator() -> str:\n return environ.get(OTEL_PYTHON_ID_GENERATOR, _DEFAULT_ID_GENERATOR)\n\n\ndef _get_service_name() -> str:\n return environ.get(OTEL_PYTHON_SERVICE_NAME, \"\")\n\n\ndef _get_exporter_names() -> Sequence[str]:\n trace_exporters = environ.get(OTEL_TRACES_EXPORTER)\n\n exporters = set()\n\n if (\n trace_exporters is not None\n or trace_exporters.lower().strip() != \"none\"\n ):\n exporters.update(\n {\n trace_exporter.strip()\n for trace_exporter in trace_exporters.split(\",\")\n }\n )\n\n if EXPORTER_OTLP in exporters:\n exporters.remove(EXPORTER_OTLP)\n exporters.add(EXPORTER_OTLP_SPAN)\n\n return list(exporters)\n\n\ndef _init_tracing(\n exporters: Sequence[SpanExporter], id_generator: IdGenerator\n):\n service_name = _get_service_name()\n provider = TracerProvider(\n resource=Resource.create({\"service.name\": service_name}),\n id_generator=id_generator(),\n )\n trace.set_tracer_provider(provider)\n\n for exporter_name, exporter_class in exporters.items():\n exporter_args = {}\n if exporter_name not in [\n EXPORTER_OTLP,\n EXPORTER_OTLP_SPAN,\n ]:\n exporter_args[\"service_name\"] = service_name\n\n provider.add_span_processor(\n BatchSpanProcessor(exporter_class(**exporter_args))\n )\n\n\ndef _import_tracer_provider_config_components(\n selected_components, entry_point_name\n) -> Sequence[Tuple[str, object]]:\n component_entry_points = {\n ep.name: ep for ep in iter_entry_points(entry_point_name)\n }\n component_impls = []\n for selected_component in selected_components:\n entry_point = component_entry_points.get(selected_component, None)\n if not entry_point:\n raise RuntimeError(\n \"Requested component '{}' not found in entry points for '{}'\".format(\n selected_component, entry_point_name\n )\n )\n\n component_impl = entry_point.load()\n component_impls.append((selected_component, component_impl))\n\n return component_impls\n\n\ndef _import_exporters(\n exporter_names: Sequence[str],\n) -> Sequence[SpanExporter]:\n trace_exporters = {}\n\n for (\n exporter_name,\n exporter_impl,\n ) in _import_tracer_provider_config_components(\n exporter_names, \"opentelemetry_exporter\"\n ):\n if issubclass(exporter_impl, SpanExporter):\n trace_exporters[exporter_name] = exporter_impl\n else:\n raise RuntimeError(\n \"{0} is not a trace exporter\".format(exporter_name)\n )\n return trace_exporters\n\n\ndef _import_id_generator(id_generator_name: str) -> IdGenerator:\n # pylint: disable=unbalanced-tuple-unpacking\n [\n (id_generator_name, id_generator_impl)\n ] = _import_tracer_provider_config_components(\n [id_generator_name.strip()], \"opentelemetry_id_generator\"\n )\n\n if issubclass(id_generator_impl, IdGenerator):\n return id_generator_impl\n\n raise RuntimeError(\"{0} is not an IdGenerator\".format(id_generator_name))\n\n\ndef _initialize_components():\n exporter_names = _get_exporter_names()\n trace_exporters = _import_exporters(exporter_names)\n id_generator_name = _get_id_generator()\n id_generator = _import_id_generator(id_generator_name)\n _init_tracing(trace_exporters, id_generator)\n\n\nclass Configurator(BaseConfigurator):\n def _configure(self, **kwargs):\n _initialize_components()\n\n\nclass OpenTelemetryDistro(BaseDistro):\n \"\"\"\n The OpenTelemetry provided Distro configures a default set of\n configuration out of the box.\n \"\"\"\n\n def _configure(self, **kwargs):\n os.environ.setdefault(OTEL_TRACES_EXPORTER, \"otlp_span\")\n", "path": "opentelemetry-distro/src/opentelemetry/distro/__init__.py" } ]
diff --git a/CHANGELOG.md b/CHANGELOG.md index 81c56db3798..47db7726653 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -22,6 +22,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ([#1656])(https://github.com/open-telemetry/opentelemetry-python/pull/1656) - Rename `DefaultSpan` to `NonRecordingSpan` ([#1661])(https://github.com/open-telemetry/opentelemetry-python/pull/1661) +- Fixed distro configuration with `OTEL_TRACES_EXPORTER` env var set to `otlp` + ([#1657])(https://github.com/open-telemetry/opentelemetry-python/pull/1657) - Moving `Getter`, `Setter` and `TextMapPropagator` out of `opentelemetry.trace.propagation` and into `opentelemetry.propagators` ([#1662])(https://github.com/open-telemetry/opentelemetry-python/pull/1662) diff --git a/opentelemetry-distro/src/opentelemetry/distro/__init__.py b/opentelemetry-distro/src/opentelemetry/distro/__init__.py index 666ab57bb37..6496be16c5b 100644 --- a/opentelemetry-distro/src/opentelemetry/distro/__init__.py +++ b/opentelemetry-distro/src/opentelemetry/distro/__init__.py @@ -67,7 +67,7 @@ def _get_exporter_names() -> Sequence[str]: ) if EXPORTER_OTLP in exporters: - exporters.pop(EXPORTER_OTLP) + exporters.remove(EXPORTER_OTLP) exporters.add(EXPORTER_OTLP_SPAN) return list(exporters) diff --git a/opentelemetry-distro/tests/test_configurator.py b/opentelemetry-distro/tests/test_configurator.py index 91ca82da86f..899e019113c 100644 --- a/opentelemetry-distro/tests/test_configurator.py +++ b/opentelemetry-distro/tests/test_configurator.py @@ -18,6 +18,9 @@ from unittest.mock import patch from opentelemetry.distro import ( + EXPORTER_OTLP, + EXPORTER_OTLP_SPAN, + _get_exporter_names, _get_id_generator, _import_id_generator, _init_tracing, @@ -25,6 +28,7 @@ from opentelemetry.environment_variables import ( OTEL_PYTHON_ID_GENERATOR, OTEL_PYTHON_SERVICE_NAME, + OTEL_TRACES_EXPORTER, ) from opentelemetry.sdk.resources import Resource from opentelemetry.sdk.trace.id_generator import IdGenerator, RandomIdGenerator @@ -143,3 +147,14 @@ def test_trace_init_custom_id_generator(self, mock_iter_entry_points): _init_tracing({}, id_generator) provider = self.set_provider_mock.call_args[0][0] self.assertIsInstance(provider.id_generator, CustomIdGenerator) + + +class TestExporterNames(TestCase): + def test_otlp_exporter_overwrite(self): + for exporter in [EXPORTER_OTLP, EXPORTER_OTLP_SPAN]: + with patch.dict(environ, {OTEL_TRACES_EXPORTER: exporter}): + self.assertEqual(_get_exporter_names(), [EXPORTER_OTLP_SPAN]) + + @patch.dict(environ, {OTEL_TRACES_EXPORTER: "jaeger,zipkin"}) + def test_multiple_exporters(self): + self.assertEqual(sorted(_get_exporter_names()), ["jaeger", "zipkin"])
TypeError: pop() takes no arguments (1 given) with otlp exporter 0.18b0 **Describe your environment** opentelemetry-sdk==1.0.0rc1 opentelemetry-exporter-otlp==1.0.0rc1 opentelemetry-exporter-jaeger==1.0.0rc1 opentelemetry-propagator-b3==1.0.0rc1 opentelemetry-distro==0.18b0 opentelemetry-instrumentation==0.18b0 opentelemetry-instrumentation-grpc==0.18b0 opentelemetry-instrumentation-jinja2==0.18b0 export OTEL_TRACES_EXPORTER="otlp" export OTEL_EXPORTER_OTLP_INSECURE=true export OTEL_EXPORTER_OTLP_ENDPOINT="markf-0398:4317" export OTEL_RESOURCE_ATTRIBUTES="service.name=emailservice, environment=hipster_shop" **Steps to reproduce** I'm using this app, but I don't believe it makes any difference, given the error. https://github.com/markfink-splunk/microservices-demo/tree/master/src/emailservice **What is the expected behavior?** otlp should initialize and export traces. **What is the actual behavior?** I get this error immediately upon executing "opentelemetry-instrument python email_server.py". Configuration of configurator failed Traceback (most recent call last): File "/usr/local/lib/python3.7/site-packages/opentelemetry/instrumentation/auto_instrumentation/sitecustomize.py", line 74, in _load_configurators entry_point.load()().configure() # type: ignore File "/usr/local/lib/python3.7/site-packages/opentelemetry/instrumentation/configurator.py", line 50, in configure self._configure(**kwargs) File "/usr/local/lib/python3.7/site-packages/opentelemetry/distro/__init__.py", line 168, in _configure _initialize_components() File "/usr/local/lib/python3.7/site-packages/opentelemetry/distro/__init__.py", line 159, in _initialize_components exporter_names = _get_exporter_names() File "/usr/local/lib/python3.7/site-packages/opentelemetry/distro/__init__.py", line 73, in _get_exporter_names exporters.pop(EXPORTER_OTLP) TypeError: pop() takes no arguments (1 given) Failed to auto initialize opentelemetry Traceback (most recent call last): File "/usr/local/lib/python3.7/site-packages/opentelemetry/instrumentation/auto_instrumentation/sitecustomize.py", line 84, in initialize _load_configurators() File "/usr/local/lib/python3.7/site-packages/opentelemetry/instrumentation/auto_instrumentation/sitecustomize.py", line 78, in _load_configurators raise exc File "/usr/local/lib/python3.7/site-packages/opentelemetry/instrumentation/auto_instrumentation/sitecustomize.py", line 74, in _load_configurators entry_point.load()().configure() # type: ignore File "/usr/local/lib/python3.7/site-packages/opentelemetry/instrumentation/configurator.py", line 50, in configure self._configure(**kwargs) File "/usr/local/lib/python3.7/site-packages/opentelemetry/distro/__init__.py", line 168, in _configure _initialize_components() File "/usr/local/lib/python3.7/site-packages/opentelemetry/distro/__init__.py", line 159, in _initialize_components exporter_names = _get_exporter_names() File "/usr/local/lib/python3.7/site-packages/opentelemetry/distro/__init__.py", line 73, in _get_exporter_names exporters.pop(EXPORTER_OTLP) TypeError: pop() takes no arguments (1 given)
googleapis__google-api-python-client-1180
[ { "content": "# Copyright 2014 Google Inc. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"Setup script for Google API Python client.\n\nAlso installs included versions of third party libraries, if those libraries\nare not already installed.\n\"\"\"\nfrom __future__ import print_function\n\nimport sys\n\nif sys.version_info < (3, 6):\n print(\"google-api-python-client requires python3 version >= 3.6.\", file=sys.stderr)\n sys.exit(1)\n\nimport io\nimport os\nfrom setuptools import setup\n\npackages = [\"apiclient\", \"googleapiclient\", \"googleapiclient/discovery_cache\"]\n\ninstall_requires = [\n \"httplib2>=0.15.0,<1dev\",\n \"google-auth>=1.16.0\",\n \"google-auth-httplib2>=0.0.3\",\n \"google-api-core>=1.21.0,<2dev\",\n \"six>=1.13.0,<2dev\",\n \"uritemplate>=3.0.0,<4dev\",\n]\n\npackage_root = os.path.abspath(os.path.dirname(__file__))\n\nreadme_filename = os.path.join(package_root, \"README.md\")\nwith io.open(readme_filename, encoding=\"utf-8\") as readme_file:\n readme = readme_file.read()\n\nversion = \"1.12.8\"\n\nsetup(\n name=\"google-api-python-client\",\n version=version,\n description=\"Google API Client Library for Python\",\n long_description=readme,\n long_description_content_type='text/markdown',\n author=\"Google LLC\",\n author_email=\"[email protected]\",\n url=\"https://github.com/googleapis/google-api-python-client/\",\n install_requires=install_requires,\n python_requires=\">=3.6\",\n packages=packages,\n package_data={},\n license=\"Apache 2.0\",\n keywords=\"google api client\",\n classifiers=[\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Development Status :: 5 - Production/Stable\",\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Operating System :: OS Independent\",\n \"Topic :: Internet :: WWW/HTTP\",\n ],\n)\n", "path": "setup.py" } ]
[ { "content": "# Copyright 2014 Google Inc. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\"\"\"Setup script for Google API Python client.\n\nAlso installs included versions of third party libraries, if those libraries\nare not already installed.\n\"\"\"\nfrom __future__ import print_function\n\nimport sys\n\nif sys.version_info < (3, 6):\n print(\"google-api-python-client requires python3 version >= 3.6.\", file=sys.stderr)\n sys.exit(1)\n\nimport io\nimport os\nfrom setuptools import setup\n\npackages = [\"apiclient\", \"googleapiclient\", \"googleapiclient/discovery_cache\"]\n\ninstall_requires = [\n \"httplib2>=0.15.0,<1dev\",\n \"google-auth>=1.16.0,<2dev\",\n \"google-auth-httplib2>=0.0.3\",\n \"google-api-core>=1.21.0,<2dev\",\n \"six>=1.13.0,<2dev\",\n \"uritemplate>=3.0.0,<4dev\",\n]\n\npackage_root = os.path.abspath(os.path.dirname(__file__))\n\nreadme_filename = os.path.join(package_root, \"README.md\")\nwith io.open(readme_filename, encoding=\"utf-8\") as readme_file:\n readme = readme_file.read()\n\nversion = \"1.12.8\"\n\nsetup(\n name=\"google-api-python-client\",\n version=version,\n description=\"Google API Client Library for Python\",\n long_description=readme,\n long_description_content_type='text/markdown',\n author=\"Google LLC\",\n author_email=\"[email protected]\",\n url=\"https://github.com/googleapis/google-api-python-client/\",\n install_requires=install_requires,\n python_requires=\">=3.6\",\n packages=packages,\n package_data={},\n license=\"Apache 2.0\",\n keywords=\"google api client\",\n classifiers=[\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Development Status :: 5 - Production/Stable\",\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Operating System :: OS Independent\",\n \"Topic :: Internet :: WWW/HTTP\",\n ],\n)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index 189f5fd42f5..f4981816db5 100644 --- a/setup.py +++ b/setup.py @@ -33,7 +33,7 @@ install_requires = [ "httplib2>=0.15.0,<1dev", - "google-auth>=1.16.0", + "google-auth>=1.16.0,<2dev", "google-auth-httplib2>=0.0.3", "google-api-core>=1.21.0,<2dev", "six>=1.13.0,<2dev",
Dependencies fail to resolve correctly when installing via egg #### Environment details - OS type and version: CentOS 7 / 8 - Python version: `Python 3.8.5` and `Python 3.8.3` - pip version: `pip 20.1.1` and `pip 19.3.1`, respectively with the Python versions - `google-api-python-client` version: `1.12.8` (latest) #### Steps to reproduce 1. Create this minimal setup.py: ``` from setuptools import setup, find_packages setup( name='FooModule', version='0.0.1', author='Foo Bar', author_email='[email protected]', description='foo', packages=find_packages(), install_requires=['google-api-python-client'], ) ``` 2. Ensure `wheel` and `setuptools` are installed. ``` [root@f369e3b27dbf foo_module]# pip3 list installed Package Version ---------- ------- pip 19.3.1 setuptools 41.6.0 wheel 0.36.2 ``` 3. Build `FooModule` as an egg: `python3 setup.py bdist_egg` 4. Try to install the egg: `python3 -m easy_install dist/FooModule-0.0.1-py3.8.egg` OR `python3 setup.py install`. This should fail! The error is `error: google-auth 2.0.0.dev0 is installed but google-auth<2.0dev,>=1.21.1 is required by {'google-api-core'}` See the full output below. <details> <summary>Click to expand</summary> ``` [root@f369e3b27dbf foo_module]# python3 setup.py install running install running bdist_egg running egg_info writing FooModule.egg-info/PKG-INFO writing dependency_links to FooModule.egg-info/dependency_links.txt writing requirements to FooModule.egg-info/requires.txt writing top-level names to FooModule.egg-info/top_level.txt reading manifest file 'FooModule.egg-info/SOURCES.txt' writing manifest file 'FooModule.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib warning: install_lib: 'build/lib' does not exist -- no Python modules to install creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/EGG-INFO copying FooModule.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying FooModule.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying FooModule.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying FooModule.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying FooModule.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO zip_safe flag not set; analyzing archive contents... creating 'dist/FooModule-0.0.1-py3.8.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing FooModule-0.0.1-py3.8.egg Copying FooModule-0.0.1-py3.8.egg to /usr/local/lib/python3.8/site-packages Adding FooModule 0.0.1 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/FooModule-0.0.1-py3.8.egg Processing dependencies for FooModule==0.0.1 Searching for google-api-python-client Reading https://pypi.org/simple/google-api-python-client/ Downloading https://files.pythonhosted.org/packages/83/fc/98045b8c5e0ba12929d423e9ff6b742951bb846707539b18f19b27c6ddc3/google_api_python_client-1.12.8-py2.py3-none-any.whl#sha256=3c4c4ca46b5c21196bec7ee93453443e477d82cbfa79234d1ce0645f81170eaf Best match: google-api-python-client 1.12.8 Processing google_api_python_client-1.12.8-py2.py3-none-any.whl Installing google_api_python_client-1.12.8-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/google_api_python_client-1.12.8-py3.8.egg/EGG-INFO/requires.txt Adding google-api-python-client 1.12.8 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/google_api_python_client-1.12.8-py3.8.egg Searching for uritemplate<4dev,>=3.0.0 Reading https://pypi.org/simple/uritemplate/ Downloading https://files.pythonhosted.org/packages/bf/0c/60d82c077998feb631608dca3cc1fe19ac074e772bf0c24cf409b977b815/uritemplate-3.0.1-py2.py3-none-any.whl#sha256=07620c3f3f8eed1f12600845892b0e036a2420acf513c53f7de0abd911a5894f Best match: uritemplate 3.0.1 Processing uritemplate-3.0.1-py2.py3-none-any.whl Installing uritemplate-3.0.1-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages Adding uritemplate 3.0.1 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/uritemplate-3.0.1-py3.8.egg Searching for six<2dev,>=1.13.0 Reading https://pypi.org/simple/six/ Downloading https://files.pythonhosted.org/packages/ee/ff/48bde5c0f013094d729fe4b0316ba2a24774b3ff1c52d924a8a4cb04078a/six-1.15.0-py2.py3-none-any.whl#sha256=8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced Best match: six 1.15.0 Processing six-1.15.0-py2.py3-none-any.whl Installing six-1.15.0-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages Adding six 1.15.0 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/six-1.15.0-py3.8.egg Searching for httplib2<1dev,>=0.15.0 Reading https://pypi.org/simple/httplib2/ Downloading https://files.pythonhosted.org/packages/15/7e/51e5bd333c0afa1c7bdbf98eb3b0ccf5167e2b1ecc8b4d13e9cc29291f81/httplib2-0.19.0-py3-none-any.whl#sha256=749c32603f9bf16c1277f59531d502e8f1c2ca19901ae653b49c4ed698f0820e Best match: httplib2 0.19.0 Processing httplib2-0.19.0-py3-none-any.whl Installing httplib2-0.19.0-py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/httplib2-0.19.0-py3.8.egg/EGG-INFO/requires.txt Adding httplib2 0.19.0 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/httplib2-0.19.0-py3.8.egg Searching for google-auth>=1.16.0 Reading https://pypi.org/simple/google-auth/ Downloading https://files.pythonhosted.org/packages/68/c3/6851ad3e029ac11e4beb6470b9465f4affce345cba8ef7cbf7fbd647c89a/google_auth-2.0.0.dev0-py2.py3-none-any.whl#sha256=50eda7bbeaed36ad17a87a94a770b9ec97e9a64add701942a4cd4dcbe291f3df Best match: google-auth 2.0.0.dev0 Processing google_auth-2.0.0.dev0-py2.py3-none-any.whl Installing google_auth-2.0.0.dev0-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/google_auth-2.0.0.dev0-py3.8.egg/EGG-INFO/requires.txt Adding google-auth 2.0.0.dev0 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/google_auth-2.0.0.dev0-py3.8.egg Searching for google-auth-httplib2>=0.0.3 Reading https://pypi.org/simple/google-auth-httplib2/ Downloading https://files.pythonhosted.org/packages/bd/4e/992849016f8b0c27fb604aafd0a7a724db16128906197bd1245c6f18e6a1/google_auth_httplib2-0.0.4-py2.py3-none-any.whl#sha256=aeaff501738b289717fac1980db9711d77908a6c227f60e4aa1923410b43e2ee Best match: google-auth-httplib2 0.0.4 Processing google_auth_httplib2-0.0.4-py2.py3-none-any.whl Installing google_auth_httplib2-0.0.4-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/google_auth_httplib2-0.0.4-py3.8.egg/EGG-INFO/requires.txt Adding google-auth-httplib2 0.0.4 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/google_auth_httplib2-0.0.4-py3.8.egg Searching for google-api-core<2dev,>=1.21.0 Reading https://pypi.org/simple/google-api-core/ Downloading https://files.pythonhosted.org/packages/c8/3f/f7faa8a96408167c03d6fe07e2bee9b383ec18a7a1117d32912eb0c1b78f/google_api_core-1.26.0-py2.py3-none-any.whl#sha256=002e44c533299aecd9dd265d200f9eacd9957cddd2c72e2cd1cb5cea127e972d Best match: google-api-core 1.26.0 Processing google_api_core-1.26.0-py2.py3-none-any.whl Installing google_api_core-1.26.0-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/google_api_core-1.26.0-py3.8.egg/EGG-INFO/requires.txt Adding google-api-core 1.26.0 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/google_api_core-1.26.0-py3.8.egg Searching for pyparsing<3,>=2.4.2 Reading https://pypi.org/simple/pyparsing/ Downloading https://files.pythonhosted.org/packages/8a/bb/488841f56197b13700afd5658fc279a2025a39e22449b7cf29864669b15d/pyparsing-2.4.7-py2.py3-none-any.whl#sha256=ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b Best match: pyparsing 2.4.7 Processing pyparsing-2.4.7-py2.py3-none-any.whl Installing pyparsing-2.4.7-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages Adding pyparsing 2.4.7 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/pyparsing-2.4.7-py3.8.egg Searching for rsa<5,>=3.1.4 Reading https://pypi.org/simple/rsa/ Downloading https://files.pythonhosted.org/packages/bf/87/dc7a6ebf0afbc602548627fa48e9c1147fa187233bf71d4c51c76a2cfb27/rsa-4.7-py3-none-any.whl#sha256=a8774e55b59fd9fc893b0d05e9bfc6f47081f46ff5b46f39ccf24631b7be356b Best match: rsa 4.7 Processing rsa-4.7-py3-none-any.whl Installing rsa-4.7-py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/rsa-4.7-py3.8.egg/EGG-INFO/requires.txt Adding rsa 4.7 to easy-install.pth file Installing pyrsa-decrypt script to /usr/local/bin Installing pyrsa-encrypt script to /usr/local/bin Installing pyrsa-keygen script to /usr/local/bin Installing pyrsa-priv2pub script to /usr/local/bin Installing pyrsa-sign script to /usr/local/bin Installing pyrsa-verify script to /usr/local/bin Installed /usr/local/lib/python3.8/site-packages/rsa-4.7-py3.8.egg Searching for pyasn1-modules>=0.2.1 Reading https://pypi.org/simple/pyasn1-modules/ Downloading https://files.pythonhosted.org/packages/95/de/214830a981892a3e286c3794f41ae67a4495df1108c3da8a9f62159b9a9d/pyasn1_modules-0.2.8-py2.py3-none-any.whl#sha256=a50b808ffeb97cb3601dd25981f6b016cbb3d31fbf57a8b8a87428e6158d0c74 Best match: pyasn1-modules 0.2.8 Processing pyasn1_modules-0.2.8-py2.py3-none-any.whl Installing pyasn1_modules-0.2.8-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/pyasn1_modules-0.2.8-py3.8.egg/EGG-INFO/requires.txt Adding pyasn1-modules 0.2.8 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/pyasn1_modules-0.2.8-py3.8.egg Searching for cachetools<5.0,>=2.0.0 Reading https://pypi.org/simple/cachetools/ Downloading https://files.pythonhosted.org/packages/bb/72/8df2e0dc991f1a1d2c6869404e7622e8ee50d80bff357dbb57c3df70305b/cachetools-4.2.1-py3-none-any.whl#sha256=1d9d5f567be80f7c07d765e21b814326d78c61eb0c3a637dffc0e5d1796cb2e2 Best match: cachetools 4.2.1 Processing cachetools-4.2.1-py3-none-any.whl Installing cachetools-4.2.1-py3-none-any.whl to /usr/local/lib/python3.8/site-packages Adding cachetools 4.2.1 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/cachetools-4.2.1-py3.8.egg Searching for requests<3.0.0dev,>=2.18.0 Reading https://pypi.org/simple/requests/ Downloading https://files.pythonhosted.org/packages/29/c1/24814557f1d22c56d50280771a17307e6bf87b70727d975fd6b2ce6b014a/requests-2.25.1-py2.py3-none-any.whl#sha256=c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e Best match: requests 2.25.1 Processing requests-2.25.1-py2.py3-none-any.whl Installing requests-2.25.1-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/requests-2.25.1-py3.8.egg/EGG-INFO/requires.txt Adding requests 2.25.1 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/requests-2.25.1-py3.8.egg Searching for pytz Reading https://pypi.org/simple/pytz/ Downloading https://files.pythonhosted.org/packages/70/94/784178ca5dd892a98f113cdd923372024dc04b8d40abe77ca76b5fb90ca6/pytz-2021.1-py2.py3-none-any.whl#sha256=eb10ce3e7736052ed3623d49975ce333bcd712c7bb19a58b9e2089d4057d0798 Best match: pytz 2021.1 Processing pytz-2021.1-py2.py3-none-any.whl Installing pytz-2021.1-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages Adding pytz 2021.1 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/pytz-2021.1-py3.8.egg Searching for protobuf>=3.12.0 Reading https://pypi.org/simple/protobuf/ Downloading https://files.pythonhosted.org/packages/b7/d3/37c36b3f5b125ac0d5b9f10d51dbecca355e24c233fd8e447c9879338ec2/protobuf-4.0.0rc2-py2.py3-none-any.whl#sha256=5df64b064b1b15e03768295939cbb5595733a02e8945dc033e56c6a9667a225c Best match: protobuf 4.0.0rc2 Processing protobuf-4.0.0rc2-py2.py3-none-any.whl Installing protobuf-4.0.0rc2-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/protobuf-4.0.0rc2-py3.8.egg/EGG-INFO/requires.txt Adding protobuf 4.0.0rc2 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/protobuf-4.0.0rc2-py3.8.egg Searching for packaging>=14.3 Reading https://pypi.org/simple/packaging/ Downloading https://files.pythonhosted.org/packages/3e/89/7ea760b4daa42653ece2380531c90f64788d979110a2ab51049d92f408af/packaging-20.9-py2.py3-none-any.whl#sha256=67714da7f7bc052e064859c05c595155bd1ee9f69f76557e21f051443c20947a Best match: packaging 20.9 Processing packaging-20.9-py2.py3-none-any.whl Installing packaging-20.9-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/packaging-20.9-py3.8.egg/EGG-INFO/requires.txt Adding packaging 20.9 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/packaging-20.9-py3.8.egg Searching for googleapis-common-protos<2.0dev,>=1.6.0 Reading https://pypi.org/simple/googleapis-common-protos/ Downloading https://files.pythonhosted.org/packages/b4/84/1285880ebf18f91fdba9d11a0385f6c4b48f5b20459f84d4ee7fd3415ebc/googleapis_common_protos-1.53.0.dev2-py2.py3-none-any.whl#sha256=ef07666b75aa9f02e5bf8ea1d9c852f19df1f8d9aa4fa16d32f7ac965b66734e Best match: googleapis-common-protos 1.53.0.dev2 Processing googleapis_common_protos-1.53.0.dev2-py2.py3-none-any.whl Installing googleapis_common_protos-1.53.0.dev2-py2.py3-none-any.whl to /usr/local/lib/python3.8/site-packages writing requirements to /usr/local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0.dev2-py3.8.egg/EGG-INFO/requires.txt Adding googleapis-common-protos 1.53.0.dev2 to easy-install.pth file Installed /usr/local/lib/python3.8/site-packages/googleapis_common_protos-1.53.0.dev2-py3.8.egg error: google-auth 2.0.0.dev0 is installed but google-auth<2.0dev,>=1.21.1 is required by {'google-api-core'} ``` </details> 5. If you're paranoid about dependencies being left behind, run `pip3 freeze | xargs pip3 uninstall -y` and verify only `pip`, `wheel`, and `setuptools` are installed before continuing. 6. Build `FooModule` as a wheel: `python3 setup.py bdist_wheel` 7. Try to install the wheel: `pip3 install dist/FooModule-0.0.1-py3-none-any.whl` This will resolve the dependencies fine and succeed! #### What's going on? This is my best guess. This package's dependencies are written as follows: https://github.com/googleapis/google-api-python-client/blob/91b61d3272de9b5aebad0cf1eb76ca53c24f22f9/setup.py#L34-L41 Notably, `google-api-core` itself has a [dependency](https://github.com/googleapis/python-api-core/blob/7273090a011c8b840d2e90e29dda3fc8f0eed792/setup.py#L34) on `google-auth`, `"google-auth >= 1.21.1, < 2.0dev"`. Naively, these dependencies specify incompatible ranges. If `google-auth>=1.16.0` is installed first, then the resulting `google-auth` dependency in `google-api-core` will fail to be satisfied (`google-auth 2.0.0.dev0 is installed but google-auth<2.0dev,>=1.21.1 is required by {'google-api-core'}`). However, it seems like pip and/or the wheel format are able to figure this out, and install a compatible dependency. easy_install and/or the egg format are unable to figure this out, and an error occurs. Is this something that the google-api-python-client team is interested in fixing? I think the fix would be as simple as removing the dependency on `google-auth`, _or_ upper-bounding the dependency range to match `google-api-core`'s dependency range. #### Workarounds in the meantime 1. Add an extra dependency `google-auth<2.0dev` to `FooModule`. This is what we're doing today. It might rely on the ordering of `install_requires`, which isn't guaranteed to be the installation order. 2. Build `FooModule` as a wheel. This is the more mature solution. We hope to do this eventually.
sql-machine-learning__elasticdl-2180
[ { "content": "# Copyright 2020 The ElasticDL Authors. All rights reserved.\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport argparse\nimport sys\n\nfrom elasticdl_client.api import (\n build_zoo,\n evaluate,\n init_zoo,\n predict,\n push_zoo,\n train,\n)\nfrom elasticdl_client.common import args\n\n\ndef build_argument_parser():\n parser = argparse.ArgumentParser()\n subparsers = parser.add_subparsers()\n subparsers.required = True\n\n # Initialize the parser for the `elasticdl zoo` commands\n zoo_parser = subparsers.add_parser(\n \"zoo\",\n help=\"Initialize | Build | Push a docker image for the model zoo.\",\n )\n zoo_subparsers = zoo_parser.add_subparsers()\n zoo_subparsers.required = True\n\n # elasticdl zoo init\n zoo_init_parser = zoo_subparsers.add_parser(\n \"init\", help=\"Initialize the model zoo.\"\n )\n zoo_init_parser.set_defaults(func=init_zoo)\n args.add_zoo_init_params(zoo_init_parser)\n\n # elasticdl zoo build\n zoo_build_parser = zoo_subparsers.add_parser(\n \"build\", help=\"Build a docker image for the model zoo.\"\n )\n zoo_build_parser.set_defaults(func=build_zoo)\n args.add_zoo_build_params(zoo_build_parser)\n\n # elasticdl zoo push\n zoo_push_parser = zoo_subparsers.add_parser(\n \"push\",\n help=\"Push the docker image to a remote registry for the distributed\"\n \"ElasticDL job.\",\n )\n zoo_push_parser.set_defaults(func=push_zoo)\n args.add_zoo_push_params(zoo_push_parser)\n\n # elasticdl train\n train_parser = subparsers.add_parser(\n \"train\", help=\"Submit a ElasticDL distributed training job\"\n )\n train_parser.set_defaults(func=train)\n args.add_common_params(train_parser)\n args.add_train_params(train_parser)\n\n # elasticdl evaluate\n evaluate_parser = subparsers.add_parser(\n \"evaluate\", help=\"Submit a ElasticDL distributed evaluation job\"\n )\n evaluate_parser.set_defaults(func=evaluate)\n args.add_common_params(evaluate_parser)\n args.add_evaluate_params(evaluate_parser)\n\n # elasticdl predict\n predict_parser = subparsers.add_parser(\n \"predict\", help=\"Submit a ElasticDL distributed prediction job\"\n )\n predict_parser.set_defaults(func=predict)\n args.add_common_params(predict_parser)\n args.add_predict_params(predict_parser)\n\n return parser\n\n\ndef main():\n parser = build_argument_parser()\n if len(sys.argv) == 1:\n parser.print_help(sys.stderr)\n sys.exit(1)\n\n args, _ = parser.parse_known_args()\n args.func(args)\n\n\nif __name__ == \"__main__\":\n main()\n", "path": "elasticdl_client/main.py" } ]
[ { "content": "# Copyright 2020 The ElasticDL Authors. All rights reserved.\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport argparse\nimport sys\n\nfrom elasticdl_client.api import (\n build_zoo,\n evaluate,\n init_zoo,\n predict,\n push_zoo,\n train,\n)\nfrom elasticdl_client.common import args\n\n\ndef build_argument_parser():\n parser = argparse.ArgumentParser()\n subparsers = parser.add_subparsers()\n subparsers.required = True\n\n # Initialize the parser for the `elasticdl zoo` commands\n zoo_parser = subparsers.add_parser(\n \"zoo\",\n help=\"Initialize | Build | Push a docker image for the model zoo.\",\n )\n zoo_subparsers = zoo_parser.add_subparsers()\n zoo_subparsers.required = True\n\n # elasticdl zoo init\n zoo_init_parser = zoo_subparsers.add_parser(\n \"init\", help=\"Initialize the model zoo.\"\n )\n zoo_init_parser.set_defaults(func=init_zoo)\n args.add_zoo_init_params(zoo_init_parser)\n\n # elasticdl zoo build\n zoo_build_parser = zoo_subparsers.add_parser(\n \"build\", help=\"Build a docker image for the model zoo.\"\n )\n zoo_build_parser.set_defaults(func=build_zoo)\n args.add_zoo_build_params(zoo_build_parser)\n\n # elasticdl zoo push\n zoo_push_parser = zoo_subparsers.add_parser(\n \"push\",\n help=\"Push the docker image to a remote registry for the distributed\"\n \"ElasticDL job.\",\n )\n zoo_push_parser.set_defaults(func=push_zoo)\n args.add_zoo_push_params(zoo_push_parser)\n\n # elasticdl train\n train_parser = subparsers.add_parser(\n \"train\", help=\"Submit a ElasticDL distributed training job\"\n )\n train_parser.set_defaults(func=train)\n args.add_common_params(train_parser)\n args.add_train_params(train_parser)\n\n # elasticdl evaluate\n evaluate_parser = subparsers.add_parser(\n \"evaluate\", help=\"Submit a ElasticDL distributed evaluation job\"\n )\n evaluate_parser.set_defaults(func=evaluate)\n args.add_common_params(evaluate_parser)\n args.add_evaluate_params(evaluate_parser)\n\n # elasticdl predict\n predict_parser = subparsers.add_parser(\n \"predict\", help=\"Submit a ElasticDL distributed prediction job\"\n )\n predict_parser.set_defaults(func=predict)\n args.add_common_params(predict_parser)\n args.add_predict_params(predict_parser)\n\n return parser\n\n\ndef main():\n parser = build_argument_parser()\n if len(sys.argv) == 1:\n parser.print_help(sys.stderr)\n sys.exit(1)\n\n try:\n args, _ = parser.parse_known_args()\n except TypeError:\n parser.print_help(sys.stderr)\n sys.exit(1)\n\n args.func(args)\n\n\nif __name__ == \"__main__\":\n main()\n", "path": "elasticdl_client/main.py" } ]
diff --git a/elasticdl_client/main.py b/elasticdl_client/main.py index 74c057f3c..26c03692f 100644 --- a/elasticdl_client/main.py +++ b/elasticdl_client/main.py @@ -94,7 +94,12 @@ def main(): parser.print_help(sys.stderr) sys.exit(1) - args, _ = parser.parse_known_args() + try: + args, _ = parser.parse_known_args() + except TypeError: + parser.print_help(sys.stderr) + sys.exit(1) + args.func(args)
Elasticdl client crashes with invalid args ``` $ elasticdl -v Traceback (most recent call last): File "/usr/local/bin/elasticdl", line 8, in <module> sys.exit(main()) File "/usr/local/lib/python3.7/site-packages/elasticdl_client/main.py", line 97, in main args, _ = parser.parse_known_args() File "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/argparse.py", line 1787, in parse_known_args namespace, args = self._parse_known_args(args, namespace) File "/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/lib/python3.7/argparse.py", line 2022, in _parse_known_args ', '.join(required_actions)) TypeError: sequence item 0: expected str instance, NoneType found ```
helmholtz-analytics__heat-471
[ { "content": "import numpy as np\nimport torch\nimport sys\n\nsys.path.append(\"../../\")\n\nimport heat as ht\nfrom matplotlib import pyplot as plt\nfrom sklearn import datasets\nimport heat.ml.regression.lasso as lasso\nimport plotfkt\n\n# read scikit diabetes data set\ndiabetes = datasets.load_diabetes()\n\n# load diabetes dataset from hdf5 file\nX = ht.load_hdf5(\"../../heat/datasets/data/diabetes.h5\", dataset=\"x\", split=0)\ny = ht.load_hdf5(\"../../heat/datasets/data/diabetes.h5\", dataset=\"y\", split=0)\n\n# normalize dataset #DoTO this goes into the lasso fit routine soon as issue #106 is solved\nX = X / ht.sqrt((ht.mean(X ** 2, axis=0)))\n\n# HeAT lasso instance\nestimator = lasso.HeatLasso(max_iter=100)\n\n# List lasso model parameters\ntheta_list = list()\n\n# Range of lambda values\nlamda = np.logspace(0, 4, 10) / 10\n\n# compute the lasso path\nfor l in lamda:\n estimator.lam = l\n estimator.fit(X, y)\n theta_list.append(estimator.theta.numpy().flatten())\n\n# Stack estimated model parameters into one numpy array\ntheta_lasso = np.stack(theta_list).T\n\n# Stack into numpy array\ntheta_lasso = np.stack(theta_list).T[1:, :]\n\n\n# plot lasso paths\nplt.subplot(3, 1, 1)\nplotfkt.plot_lasso_path(\n lamda, theta_lasso, diabetes.feature_names, title=\"Lasso Paths - HeAT implementation\"\n)\n\nif X.is_distributed():\n distributed = X.comm.rank\nelse:\n distributed = False\n\n# Now the same stuff in numpy\nX = diabetes.data.astype(\"float32\")\ny = diabetes.target.astype(\"float32\")\n\nm, _ = X.shape\nX = np.concatenate((np.ones((m, 1)).astype(\"float32\"), X), axis=1)\n\n# normalize dataset\nX = X / np.sqrt((np.mean(X ** 2, axis=0)))\n\n# Numpy lasso instance\nestimator = lasso.NumpyLasso(max_iter=100)\n\n# List lasso model parameters\ntheta_list = list()\n\n# Range of lambda values\nlamda = np.logspace(0, 4, 10) / 10\n\n# compute the lasso path\nfor l in lamda:\n estimator.lam = l\n estimator.fit(X, y)\n theta_list.append(estimator.theta.flatten())\n\n# Stack estimated model parameters into one numpy array\ntheta_lasso = np.stack(theta_list).T\n\n# Stack into numpy array\ntheta_lasso = np.stack(theta_list).T[1:, :]\n\n# plot lasso paths\nplt.subplot(3, 1, 2)\nplotfkt.plot_lasso_path(\n lamda, theta_lasso, diabetes.feature_names, title=\"Lasso Paths - Numpy implementation\"\n)\n\n# Now the same stuff again in PyTorch\nX = torch.tensor(X)\ny = torch.tensor(y)\n\n# HeAT lasso instance\nestimator = lasso.PytorchLasso(max_iter=100)\n\n# List lasso model parameters\ntheta_list = list()\n\n# Range of lambda values\nlamda = np.logspace(0, 4, 10) / 10\n\n# compute the lasso path\nfor l in lamda:\n estimator.lam = l\n estimator.fit(X, y)\n theta_list.append(estimator.theta.numpy().flatten())\n\n# Stack estimated model parameters into one numpy array\ntheta_lasso = np.stack(theta_list).T\n\n# Stack into numpy array\ntheta_lasso = np.stack(theta_list).T[1:, :]\n\n# plot lasso paths\nplt.subplot(3, 1, 3)\nplotfkt.plot_lasso_path(\n lamda, theta_lasso, diabetes.feature_names, title=\"Lasso Paths - PyTorch implementation\"\n)\n\n# plot only with first rank\nif distributed is False:\n plt.show()\nelif distributed == 0:\n plt.show()\n", "path": "examples/lasso/demo.py" } ]
[ { "content": "import numpy as np\nimport torch\nimport sys\n\nsys.path.append(\"../../\")\n\nimport heat as ht\nfrom matplotlib import pyplot as plt\nfrom sklearn import datasets\nimport heat.core.regression.lasso as lasso\nimport plotfkt\n\n# read scikit diabetes data set\ndiabetes = datasets.load_diabetes()\n\n# load diabetes dataset from hdf5 file\nX = ht.load_hdf5(\"../../heat/datasets/data/diabetes.h5\", dataset=\"x\", split=0)\ny = ht.load_hdf5(\"../../heat/datasets/data/diabetes.h5\", dataset=\"y\", split=0)\n\n# normalize dataset #DoTO this goes into the lasso fit routine soon as issue #106 is solved\nX = X / ht.sqrt((ht.mean(X ** 2, axis=0)))\n\n# HeAT lasso instance\nestimator = lasso.HeatLasso(max_iter=100)\n\n# List lasso model parameters\ntheta_list = list()\n\n# Range of lambda values\nlamda = np.logspace(0, 4, 10) / 10\n\n# compute the lasso path\nfor l in lamda:\n estimator.lam = l\n estimator.fit(X, y)\n theta_list.append(estimator.theta.numpy().flatten())\n\n# Stack estimated model parameters into one numpy array\ntheta_lasso = np.stack(theta_list).T\n\n# Stack into numpy array\ntheta_lasso = np.stack(theta_list).T[1:, :]\n\n\n# plot lasso paths\nplt.subplot(3, 1, 1)\nplotfkt.plot_lasso_path(\n lamda, theta_lasso, diabetes.feature_names, title=\"Lasso Paths - HeAT implementation\"\n)\n\nif X.is_distributed():\n distributed = X.comm.rank\nelse:\n distributed = False\n\n# Now the same stuff in numpy\nX = diabetes.data.astype(\"float32\")\ny = diabetes.target.astype(\"float32\")\n\nm, _ = X.shape\nX = np.concatenate((np.ones((m, 1)).astype(\"float32\"), X), axis=1)\n\n# normalize dataset\nX = X / np.sqrt((np.mean(X ** 2, axis=0)))\n\n# Numpy lasso instance\nestimator = lasso.NumpyLasso(max_iter=100)\n\n# List lasso model parameters\ntheta_list = list()\n\n# Range of lambda values\nlamda = np.logspace(0, 4, 10) / 10\n\n# compute the lasso path\nfor l in lamda:\n estimator.lam = l\n estimator.fit(X, y)\n theta_list.append(estimator.theta.flatten())\n\n# Stack estimated model parameters into one numpy array\ntheta_lasso = np.stack(theta_list).T\n\n# Stack into numpy array\ntheta_lasso = np.stack(theta_list).T[1:, :]\n\n# plot lasso paths\nplt.subplot(3, 1, 2)\nplotfkt.plot_lasso_path(\n lamda, theta_lasso, diabetes.feature_names, title=\"Lasso Paths - Numpy implementation\"\n)\n\n# Now the same stuff again in PyTorch\nX = torch.tensor(X)\ny = torch.tensor(y)\n\n# HeAT lasso instance\nestimator = lasso.PytorchLasso(max_iter=100)\n\n# List lasso model parameters\ntheta_list = list()\n\n# Range of lambda values\nlamda = np.logspace(0, 4, 10) / 10\n\n# compute the lasso path\nfor l in lamda:\n estimator.lam = l\n estimator.fit(X, y)\n theta_list.append(estimator.theta.numpy().flatten())\n\n# Stack estimated model parameters into one numpy array\ntheta_lasso = np.stack(theta_list).T\n\n# Stack into numpy array\ntheta_lasso = np.stack(theta_list).T[1:, :]\n\n# plot lasso paths\nplt.subplot(3, 1, 3)\nplotfkt.plot_lasso_path(\n lamda, theta_lasso, diabetes.feature_names, title=\"Lasso Paths - PyTorch implementation\"\n)\n\n# plot only with first rank\nif distributed is False:\n plt.show()\nelif distributed == 0:\n plt.show()\n", "path": "examples/lasso/demo.py" } ]
diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000..31ef645a82 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,5 @@ +# Format of .gitattributes is +# <pattern> <attr1> <attr2> ... +# + +CHANGELOG.md merge=union diff --git a/CHANGELOG.md b/CHANGELOG.md index dfbd8a1015..f2c0c3b11c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,7 @@ +# Pending Additions + +- [#454](https://github.com/helmholtz-analytics/heat/issues/454) Update lasso example + # v0.2.2 This version adds support for PyTorch 1.4.0. There are also several minor feature improvements and bug fixes listed below. diff --git a/examples/lasso/demo.py b/examples/lasso/demo.py index 7cf89aae6f..b78cb6cd30 100644 --- a/examples/lasso/demo.py +++ b/examples/lasso/demo.py @@ -7,7 +7,7 @@ import heat as ht from matplotlib import pyplot as plt from sklearn import datasets -import heat.ml.regression.lasso as lasso +import heat.core.regression.lasso as lasso import plotfkt # read scikit diabetes data set
Update lasso example **Description** The lasso example references heat.ml.regression.lasso **To Reproduce** Steps to reproduce the behavior: 1. Which module/class/function is affected? examples/lasso/demo.py 2. What are the circumstances under which the bug appears? run demo.py 3. What is the exact error-message/errorous behavious? `Traceback (most recent call last): File "demo.py", line 10, in <module> import heat.ml.regression.lasso as lasso ModuleNotFoundError: No module named 'heat.ml'` **Expected behavior** Should import heat.core.regression.lasso **Version Info** Which version are you using? 0.2.1 Update lasso example **Description** The lasso example references heat.ml.regression.lasso **To Reproduce** Steps to reproduce the behavior: 1. Which module/class/function is affected? examples/lasso/demo.py 2. What are the circumstances under which the bug appears? run demo.py 3. What is the exact error-message/errorous behavious? `Traceback (most recent call last): File "demo.py", line 10, in <module> import heat.ml.regression.lasso as lasso ModuleNotFoundError: No module named 'heat.ml'` **Expected behavior** Should import heat.core.regression.lasso **Version Info** Which version are you using? 0.2.1
beeware__toga-410
[ { "content": "import asyncio\nimport os\nimport sys\n\nimport toga\nfrom rubicon.objc.eventloop import EventLoopPolicy, CocoaLifecycle\n\nfrom .libs import *\nfrom .window import Window\n\n\nclass MainWindow(Window):\n def on_close(self):\n self.interface.app.exit()\n\n\nclass AppDelegate(NSObject):\n @objc_method\n def applicationDidFinishLaunching_(self, notification):\n self.native.activateIgnoringOtherApps(True)\n\n @objc_method\n def applicationOpenUntitledFile_(self, sender) -> bool:\n # FIXME This should be all we need; but for some reason, application types\n # aren't being registered correctly..\n # NSDocumentController.sharedDocumentController().openDocument_(None)\n\n # ...so we do this instead.\n panel = NSOpenPanel.openPanel()\n # print(\"Open documents of type\", NSDocumentController.sharedDocumentController().defaultType)\n\n fileTypes = NSMutableArray.alloc().init()\n for filetype in self.interface.document_types:\n fileTypes.addObject(filetype)\n\n NSDocumentController.sharedDocumentController.runModalOpenPanel(panel, forTypes=fileTypes)\n\n # print(\"Untitled File opened?\", panel.URLs)\n self.application_openFiles_(None, panel.URLs)\n\n return True\n\n @objc_method\n def addDocument_(self, document) -> None:\n # print(\"Add Document\", document)\n super().addDocument_(document)\n\n @objc_method\n def applicationShouldOpenUntitledFile_(self, sender) -> bool:\n return True\n\n @objc_method\n def application_openFiles_(self, app, filenames) -> None:\n for i in range(0, len(filenames)):\n filename = filenames.objectAtIndex(i)\n if isinstance(filename, str):\n fileURL = NSURL.fileURLWithPath(filename)\n\n elif filename.objc_class.name == 'NSURL':\n # This case only exists because we aren't using the\n # DocumentController to display the file open dialog.\n # If we were, *all* filenames passed in would be\n # string paths.\n fileURL = filename\n else:\n return\n\n self.interface.open_document(fileURL.absoluteString)\n # NSDocumentController.sharedDocumentController().openDocumentWithContentsOfURL_display_completionHandler_(fileURL, True, None)\n\n @objc_method\n def selectMenuItem_(self, sender) -> None:\n cmd = self.interface._menu_items[sender]\n if cmd.action:\n cmd.action(None)\n\n\nclass App:\n _MAIN_WINDOW_CLASS = MainWindow\n\n def __init__(self, interface):\n self.interface = interface\n self.interface._impl = self\n\n asyncio.set_event_loop_policy(EventLoopPolicy())\n self.loop = asyncio.get_event_loop()\n\n def create(self):\n self.native = NSApplication.sharedApplication\n self.native.setActivationPolicy(NSApplicationActivationPolicyRegular)\n\n self.native.setApplicationIconImage_(self.interface.icon.bind(self.interface.factory).native)\n\n self.resource_path = os.path.dirname(os.path.dirname(NSBundle.mainBundle.bundlePath))\n\n appDelegate = AppDelegate.alloc().init()\n appDelegate.interface = self.interface\n appDelegate.native = self.native\n self.native.setDelegate_(appDelegate)\n\n app_name = self.interface.name\n\n self.interface.commands.add(\n toga.Command(None, 'About ' + app_name, group=toga.Group.APP),\n toga.Command(None, 'Preferences', group=toga.Group.APP),\n # Quit should always be the last item, in a section on it's own\n toga.Command(lambda s: self.exit(), 'Quit ' + app_name, shortcut='q', group=toga.Group.APP, section=sys.maxsize),\n\n toga.Command(None, 'Visit homepage', group=toga.Group.HELP)\n )\n\n # Call user code to populate the main window\n self.interface.startup()\n\n # Create the lookup table of menu items,\n # then force the creation of the menus.\n self._menu_items = {}\n self.create_menus()\n\n def open_document(self, fileURL):\n '''Add a new document to this app.'''\n print(\"STUB: If you want to handle opening documents, implement App.open_document(fileURL)\")\n\n def create_menus(self):\n # Only create the menu if the menu item index has been created.\n if hasattr(self, '_menu_items'):\n self._menu_items = {}\n menubar = NSMenu.alloc().initWithTitle('MainMenu')\n submenu = None\n for cmd in self.interface.commands:\n if cmd == toga.GROUP_BREAK:\n menubar.setSubmenu(submenu, forItem=menuItem)\n submenu = None\n elif cmd == toga.SECTION_BREAK:\n submenu.addItem_(NSMenuItem.separatorItem())\n else:\n if submenu is None:\n menuItem = menubar.addItemWithTitle(cmd.group.label, action=None, keyEquivalent='')\n submenu = NSMenu.alloc().initWithTitle(cmd.group.label)\n submenu.setAutoenablesItems(False)\n\n item = NSMenuItem.alloc().initWithTitle(\n cmd.label,\n action=SEL('selectMenuItem:'),\n keyEquivalent=cmd.shortcut if cmd.shortcut else ''\n )\n\n cmd._widgets.append(item)\n self._menu_items[item] = cmd\n\n # This line may appear redundant, but it triggers the logic\n # to force the enabled status on the underlying widgets.\n cmd.enabled = cmd.enabled\n submenu.addItem(item)\n\n if submenu:\n menubar.setSubmenu(submenu, forItem=menuItem)\n\n # Set the menu for the app.\n self.native.mainMenu = menubar\n\n def main_loop(self):\n # Stimulate the build of the app\n self.create()\n\n self.loop.run_forever(lifecycle=CocoaLifecycle(self.native))\n\n def exit(self):\n self.native.terminate(None)\n", "path": "src/cocoa/toga_cocoa/app.py" } ]
[ { "content": "import asyncio\nimport os\nimport sys\n\nimport toga\nfrom rubicon.objc.eventloop import EventLoopPolicy, CocoaLifecycle\n\nfrom .libs import *\nfrom .window import Window\n\n\nclass MainWindow(Window):\n def on_close(self):\n self.interface.app.exit()\n\n\nclass AppDelegate(NSObject):\n @objc_method\n def applicationDidFinishLaunching_(self, notification):\n self.native.activateIgnoringOtherApps(True)\n\n @objc_method\n def applicationOpenUntitledFile_(self, sender) -> bool:\n # FIXME This should be all we need; but for some reason, application types\n # aren't being registered correctly..\n # NSDocumentController.sharedDocumentController().openDocument_(None)\n\n # ...so we do this instead.\n panel = NSOpenPanel.openPanel()\n # print(\"Open documents of type\", NSDocumentController.sharedDocumentController().defaultType)\n\n fileTypes = NSMutableArray.alloc().init()\n for filetype in self.interface.document_types:\n fileTypes.addObject(filetype)\n\n NSDocumentController.sharedDocumentController.runModalOpenPanel(panel, forTypes=fileTypes)\n\n # print(\"Untitled File opened?\", panel.URLs)\n self.application_openFiles_(None, panel.URLs)\n\n return True\n\n @objc_method\n def addDocument_(self, document) -> None:\n # print(\"Add Document\", document)\n super().addDocument_(document)\n\n @objc_method\n def applicationShouldOpenUntitledFile_(self, sender) -> bool:\n return True\n\n @objc_method\n def application_openFiles_(self, app, filenames) -> None:\n for i in range(0, len(filenames)):\n filename = filenames.objectAtIndex(i)\n if isinstance(filename, str):\n fileURL = NSURL.fileURLWithPath(filename)\n\n elif filename.objc_class.name == 'NSURL':\n # This case only exists because we aren't using the\n # DocumentController to display the file open dialog.\n # If we were, *all* filenames passed in would be\n # string paths.\n fileURL = filename\n else:\n return\n\n self.interface.open_document(fileURL.absoluteString)\n # NSDocumentController.sharedDocumentController().openDocumentWithContentsOfURL_display_completionHandler_(fileURL, True, None)\n\n @objc_method\n def selectMenuItem_(self, sender) -> None:\n cmd = self.interface._impl._menu_items[sender]\n if cmd.action:\n cmd.action(None)\n\n\nclass App:\n _MAIN_WINDOW_CLASS = MainWindow\n\n def __init__(self, interface):\n self.interface = interface\n self.interface._impl = self\n\n asyncio.set_event_loop_policy(EventLoopPolicy())\n self.loop = asyncio.get_event_loop()\n\n def create(self):\n self.native = NSApplication.sharedApplication\n self.native.setActivationPolicy(NSApplicationActivationPolicyRegular)\n\n self.native.setApplicationIconImage_(self.interface.icon.bind(self.interface.factory).native)\n\n self.resource_path = os.path.dirname(os.path.dirname(NSBundle.mainBundle.bundlePath))\n\n appDelegate = AppDelegate.alloc().init()\n appDelegate.interface = self.interface\n appDelegate.native = self.native\n self.native.setDelegate_(appDelegate)\n\n app_name = self.interface.name\n\n self.interface.commands.add(\n toga.Command(None, 'About ' + app_name, group=toga.Group.APP),\n toga.Command(None, 'Preferences', group=toga.Group.APP),\n # Quit should always be the last item, in a section on it's own\n toga.Command(lambda s: self.exit(), 'Quit ' + app_name, shortcut='q', group=toga.Group.APP, section=sys.maxsize),\n\n toga.Command(None, 'Visit homepage', group=toga.Group.HELP)\n )\n\n # Call user code to populate the main window\n self.interface.startup()\n\n # Create the lookup table of menu items,\n # then force the creation of the menus.\n self._menu_items = {}\n self.create_menus()\n\n def open_document(self, fileURL):\n '''Add a new document to this app.'''\n print(\"STUB: If you want to handle opening documents, implement App.open_document(fileURL)\")\n\n def create_menus(self):\n # Only create the menu if the menu item index has been created.\n if hasattr(self, '_menu_items'):\n self._menu_items = {}\n menubar = NSMenu.alloc().initWithTitle('MainMenu')\n submenu = None\n for cmd in self.interface.commands:\n if cmd == toga.GROUP_BREAK:\n menubar.setSubmenu(submenu, forItem=menuItem)\n submenu = None\n elif cmd == toga.SECTION_BREAK:\n submenu.addItem_(NSMenuItem.separatorItem())\n else:\n if submenu is None:\n menuItem = menubar.addItemWithTitle(cmd.group.label, action=None, keyEquivalent='')\n submenu = NSMenu.alloc().initWithTitle(cmd.group.label)\n submenu.setAutoenablesItems(False)\n\n item = NSMenuItem.alloc().initWithTitle(\n cmd.label,\n action=SEL('selectMenuItem:'),\n keyEquivalent=cmd.shortcut if cmd.shortcut else ''\n )\n\n cmd._widgets.append(item)\n self._menu_items[item] = cmd\n\n # This line may appear redundant, but it triggers the logic\n # to force the enabled status on the underlying widgets.\n cmd.enabled = cmd.enabled\n submenu.addItem(item)\n\n if submenu:\n menubar.setSubmenu(submenu, forItem=menuItem)\n\n # Set the menu for the app.\n self.native.mainMenu = menubar\n\n def main_loop(self):\n # Stimulate the build of the app\n self.create()\n\n self.loop.run_forever(lifecycle=CocoaLifecycle(self.native))\n\n def exit(self):\n self.native.terminate(None)\n", "path": "src/cocoa/toga_cocoa/app.py" } ]
diff --git a/src/cocoa/toga_cocoa/app.py b/src/cocoa/toga_cocoa/app.py index b077d00a71..1b0483c7ed 100644 --- a/src/cocoa/toga_cocoa/app.py +++ b/src/cocoa/toga_cocoa/app.py @@ -70,7 +70,7 @@ def application_openFiles_(self, app, filenames) -> None: @objc_method def selectMenuItem_(self, sender) -> None: - cmd = self.interface._menu_items[sender] + cmd = self.interface._impl._menu_items[sender] if cmd.action: cmd.action(None)
Menu items broken on Cocoa backend: fails with object has no attribute '_menu_items' I believe this is a regression from 1d41d3833eb4b8785faf8eb7850f3feec4650350 / #373. The changes `appDelegate.interface` from the `App` instance to `App.interface`. Unfortunately, selecting a menu item still expects `appDelegate.interface` to be the `App` instance, see below where it calls `self.interface._menu_items`: https://github.com/pybee/toga/blob/ad91f1a65a109b670256028e31c887dc18a4876d/src/cocoa/toga_cocoa/app.py#L71-L75 ## Expected Behavior The action successfully runs. ## Current Behavior The action doesn't run, you get an error in the terminal: ``` Traceback (most recent call last): File "_ctypes/callbacks.c", line 234, in 'calling callback function' File "/Users/pcloke/.virtualenvs/toga/lib/python3.6/site-packages/rubicon/objc/runtime.py", line 1033, in _objc_method result = f(py_self, *args) File "/Users/pcloke/toga/src/cocoa/toga_cocoa/app.py", line 73, in selectMenuItem_ cmd = self.interface._menu_items[sender] AttributeError: 'TogaDemo' object has no attribute '_menu_items' ``` ## Steps to reproduce 1. Run the toga demo app (`cd toga && python -m toga_demo`) 2. Click on one of the "Commands" > "Action 1" ## Your Environment * Python 3.6. * macOS High Sierra * Toga Target: cocoa
PokemonGoF__PokemonGo-Bot-5295
[ { "content": "# -*- coding: utf-8 -*-\nimport time\n\nfrom geographiclib.geodesic import Geodesic\nfrom random import uniform\n\nfrom pokemongo_bot.human_behaviour import sleep, random_alt_delta\n\n\nclass StepWalker(object):\n def __init__(self, bot, dest_lat, dest_lng, dest_alt=None, precision=0.5):\n self.bot = bot\n self.api = bot.api\n self.epsilon = 0.01\n self.precision = max(precision, self.epsilon)\n\n self.dest_lat = dest_lat\n self.dest_lng = dest_lng\n\n if dest_alt is None:\n self.dest_alt = uniform(self.bot.config.alt_min, self.bot.config.alt_max)\n else:\n self.dest_alt = dest_alt\n\n self.saved_location = None\n self.last_update = 0\n\n def step(self, speed=None):\n now = time.time()\n\n sleep(1 - min(now - self.last_update, 1))\n self.last_update = now\n\n if speed is None:\n speed = uniform(self.bot.config.walk_min, self.bot.config.walk_max)\n\n origin_lat, origin_lng, origin_alt = self.bot.position\n\n new_position = self.get_next_position(origin_lat, origin_lng, origin_alt, self.dest_lat, self.dest_lng, self.dest_alt, speed)\n\n self.api.set_position(new_position[0], new_position[1], new_position[2])\n self.bot.event_manager.emit(\"position_update\",\n sender=self,\n level=\"debug\",\n data={\"current_position\": (new_position[0], new_position[1], new_position[2]),\n \"last_position\": (origin_lat, origin_lng, origin_alt),\n \"distance\": \"\",\n \"distance_unit\": \"\"})\n\n self.bot.heartbeat()\n\n return self.is_arrived()\n\n def is_arrived(self):\n inverse = Geodesic.WGS84.Inverse(self.bot.position[0], self.bot.position[1], self.dest_lat, self.dest_lng)\n return inverse[\"s12\"] <= self.precision + self.epsilon\n\n def get_next_position(self, origin_lat, origin_lng, origin_alt, dest_lat, dest_lng, dest_alt, distance):\n inverse = Geodesic.WGS84.Inverse(origin_lat, origin_lng, dest_lat, dest_lng)\n total_distance = inverse[\"s12\"]\n\n if total_distance == 0:\n total_distance = self.precision or self.epsilon\n\n if distance == 0:\n if not self.saved_location:\n self.saved_location = origin_lat, origin_lng, origin_alt\n\n dest_lat, dest_lng, dest_alt = self.saved_location\n travel = self.precision\n else:\n self.saved_location = None\n travel = min(total_distance, distance)\n\n direct = Geodesic.WGS84.Direct(origin_lat, origin_lng, inverse[\"azi1\"], travel)\n next_lat = direct[\"lat2\"]\n next_lng = direct[\"lon2\"]\n\n random_azi = uniform(inverse[\"azi1\"] - 90, inverse[\"azi1\"] + 90)\n random_dist = uniform(0.0, self.precision)\n direct = Geodesic.WGS84.Direct(next_lat, next_lng, random_azi, random_dist)\n\n next_lat = direct[\"lat2\"]\n next_lng = direct[\"lon2\"]\n next_alt = origin_alt + (travel / total_distance) * (dest_alt - origin_alt) + random_alt_delta()\n\n return next_lat, next_lng, next_alt\n", "path": "pokemongo_bot/walkers/step_walker.py" } ]
[ { "content": "# -*- coding: utf-8 -*-\nimport time\n\nfrom geographiclib.geodesic import Geodesic\nfrom random import uniform\n\nfrom pokemongo_bot.human_behaviour import sleep, random_alt_delta\n\n\nclass StepWalker(object):\n def __init__(self, bot, dest_lat, dest_lng, dest_alt=None, precision=0.5):\n self.bot = bot\n self.api = bot.api\n self.epsilon = 0.01\n self.precision = max(precision, self.epsilon)\n\n self.dest_lat = dest_lat\n self.dest_lng = dest_lng\n\n if dest_alt is None:\n self.dest_alt = uniform(self.bot.config.alt_min, self.bot.config.alt_max)\n else:\n self.dest_alt = dest_alt\n\n self.saved_location = None\n self.last_update = time.time()\n\n def step(self, speed=None):\n now = time.time()\n\n sleep(1 - min(now - self.last_update, 1))\n self.last_update = now\n\n if speed is None:\n speed = uniform(self.bot.config.walk_min, self.bot.config.walk_max)\n\n origin_lat, origin_lng, origin_alt = self.bot.position\n\n new_position = self.get_next_position(origin_lat, origin_lng, origin_alt, self.dest_lat, self.dest_lng, self.dest_alt, speed)\n\n self.api.set_position(new_position[0], new_position[1], new_position[2])\n self.bot.event_manager.emit(\"position_update\",\n sender=self,\n level=\"debug\",\n data={\"current_position\": (new_position[0], new_position[1], new_position[2]),\n \"last_position\": (origin_lat, origin_lng, origin_alt),\n \"distance\": \"\",\n \"distance_unit\": \"\"})\n\n self.bot.heartbeat()\n\n return self.is_arrived()\n\n def is_arrived(self):\n inverse = Geodesic.WGS84.Inverse(self.bot.position[0], self.bot.position[1], self.dest_lat, self.dest_lng)\n return inverse[\"s12\"] <= self.precision + self.epsilon\n\n def get_next_position(self, origin_lat, origin_lng, origin_alt, dest_lat, dest_lng, dest_alt, distance):\n inverse = Geodesic.WGS84.Inverse(origin_lat, origin_lng, dest_lat, dest_lng)\n total_distance = inverse[\"s12\"]\n\n if total_distance == 0:\n total_distance = self.precision or self.epsilon\n\n if distance == 0:\n if not self.saved_location:\n self.saved_location = origin_lat, origin_lng, origin_alt\n\n dest_lat, dest_lng, dest_alt = self.saved_location\n travel = self.precision\n else:\n self.saved_location = None\n travel = min(total_distance, distance)\n\n direct = Geodesic.WGS84.Direct(origin_lat, origin_lng, inverse[\"azi1\"], travel)\n next_lat = direct[\"lat2\"]\n next_lng = direct[\"lon2\"]\n\n random_azi = uniform(inverse[\"azi1\"] - 90, inverse[\"azi1\"] + 90)\n random_dist = uniform(0.0, self.precision)\n direct = Geodesic.WGS84.Direct(next_lat, next_lng, random_azi, random_dist)\n\n next_lat = direct[\"lat2\"]\n next_lng = direct[\"lon2\"]\n next_alt = origin_alt + (travel / total_distance) * (dest_alt - origin_alt) + random_alt_delta()\n\n return next_lat, next_lng, next_alt\n", "path": "pokemongo_bot/walkers/step_walker.py" } ]
diff --git a/pokemongo_bot/walkers/step_walker.py b/pokemongo_bot/walkers/step_walker.py index da5a659736..34555373b1 100644 --- a/pokemongo_bot/walkers/step_walker.py +++ b/pokemongo_bot/walkers/step_walker.py @@ -23,7 +23,7 @@ def __init__(self, bot, dest_lat, dest_lng, dest_alt=None, precision=0.5): self.dest_alt = dest_alt self.saved_location = None - self.last_update = 0 + self.last_update = time.time() def step(self, speed=None): now = time.time()
<dev> Followpath completes 100m within 17 secs ### Expected Behavior <!-- Tell us what you expect to happen --> To slowly walk to the waypoint using the speed from walk_max and walk_min ### Actual Behavior <!-- Tell us what is happening --> Completed a 100m dash in 17 secs ### Your FULL config.json (remove your username, password, gmapkey and any other private info) <!-- Provide your FULL config file, feel free to use services such as pastebin.com to reduce clutter --> ### > { > ``` > "// websocket_server": false, > "heartbeat_threshold": 10, > "enable_social": true, > "live_config_update": { > "enabled": true, > "tasks_only": false > }, > "tasks": [ > { > "type": "TelegramTask", > "config": { > "enabled": true, > "master": , > "password": "", > "alert_catch": { > "all": {"operator": "or", "cp": 1200, "iv": 0.9} > } > } > }, > { > "type": "HandleSoftBan" > }, > { > "type": "RandomAlivePause", > "config": { > "enabled": true, > "min_duration": "00:00:10", > "max_duration": "00:20:00", > "min_interval": "00:30:00", > "max_interval": "01:00:00" > } > }, > { > "type": "CollectLevelUpReward", > ``` > > "config": { > "collect_reward": true, > "level_limit": -1 > } > }, > { > "type": "IncubateEggs", > "config": { > "enabled": true, > "infinite_longer_eggs_first": false, > "breakable_longer_eggs_first": true, > "min_interval": 120, > "infinite": [2,5,10], > "breakable": [5,10] > } > }, > { > "type": "ShowBestPokemon", > "config": { > "enabled": true, > "min_interval": 60, > "amount": 5, > "order_by": "cp", > "info_to_show": ["cp", "ivcp", "dps", "hp"] > } > }, > { > "type": "PokemonOptimizer", > "config": { > "enabled": true, > "transfer": true, > "transfer_wait_min": 3, > "transfer_wait_max": 5, > "evolve": true, > "evolve_time": 20, > "evolve_for_xp": true, > "evolve_only_with_lucky_egg": false, > "evolve_count_for_lucky_egg": 92, > "may_use_lucky_egg": false, > "min_slots_left": 10, > "upgrade_level": 60, > "groups": { > "trash" : ["Pidgey", "Rattata", "Caterpie", "Weedle", "Venonat"] > }, > "keep": [ > { > "mode": "by_pokemon", > "names": ["Eevee"], > "top": 1, > "evolve": false, > "sort": ["iv", "cp"], > "upgrade": false > }, > { > "mode": "by_family", > "top": 1, > "evolve": true, > "sort": ["iv", "cp"], > "upgrade": false > }, > { > "mode": "by_family", > "top": 1, > "evolve": true, > "sort": ["ncp", "iv"], > "upgrade": false > }, > { > "mode": "by_family", > "top": 1, > "evolve": false, > "sort": ["cp"], > "upgrade": false > }, > { > "mode": "by_family", > "names": ["trash"], > "top": 1, > "evolve": true, > "sort": ["iv","cp"], > "upgrade": false > } > ] > } > }, > { > "type": "NicknamePokemon", > "config": { > "enabled": true, > "dont_nickname_favorite": true, > "nickname_above_iv": 0.8, > "nickname_template": "{name:.9s}_{iv_pct2}", > "nickname_wait_min": 3, > "nickname_wait_max": 5 > } > }, > { > "type": "RecycleItems", > "config": { > "min_empty_space": 30, > "max_balls_keep": 200, > "max_potions_keep": 70, > "max_berries_keep": 30, > "max_revives_keep": 20, > "item_filter": { > "Pokeball": { "keep" : 80 }, > "Greatball": { "keep" : 100 }, > "Potion": { "keep" : 0 }, > "Super Potion": { "keep" : 20 }, > "Hyper Potion": { "keep" : 30 }, > "Revive": { "keep" : 20 }, > "Razz Berry": { "keep" : 30 } > }, > "recycle_wait_min": 3, > "recycle_wait_max": 5, > "recycle_force": true, > "recycle_force_min": "00:01:00", > "recycle_force_max": "00:10:00" > } > }, > { > "type": "CatchPokemon", > "config": { > "catch_visible_pokemon": true, > "catch_lured_pokemon": true, > "min_ultraball_to_keep": 10, > "berry_threshold": 0.40, > "vip_berry_threshold": 0.9, > "treat_unseen_as_vip": true, > "daily_catch_limit": 300, > "vanish_settings": { > "consecutive_vanish_limit": 10, > "rest_duration_min": "02:00:00", > "rest_duration_max": "04:00:00" > }, > "catch_throw_parameters": { > "excellent_rate": 0.1, > "great_rate": 0.2, > "nice_rate": 0.3, > "normal_rate": 0.4, > "spin_success_rate" : 0.55, > "hit_rate": 0.70 > }, > "catch_simulation": { > "flee_count": 3, > "flee_duration": 2, > "catch_wait_min": 2, > "catch_wait_max": 6, > "berry_wait_min": 2, > "berry_wait_max": 3, > "changeball_wait_min": 3, > "changeball_wait_max": 5, > "newtodex_wait_min": 20, > "newtodex_wait_max": 30 > } > } > }, > { > "type": "SpinFort", > "config": { > "enabled": true, > "spin_wait_min": 3, > "spin_wait_max": 6, > "daily_spin_limit": 1900 > } > }, > { "type": "UpdateWebInventory", > "config": { > "enabled": true > } > }, > { > "type": "FollowPath", > "config": { > "enabled": true, > "walker": "PolylineWalker", > "path_mode": "loop", > "path_start_mode": "closest", > "path_file": "configs/path.downtown.json", > "number_lap": 2, > "timer_restart_min": "00:10:00", > "timer_restart_max": "00:20:00" > } > }, > { > "type": "CampFort", > "config": { > "enabled": true, > "max_distance": 400, > "min_forts_count": 2, > "min_lured_forts_count": 1, > "camping_time": 1800, > "moving_time": 600 > } > }, > { > "type": "MoveToMapPokemon", > "config": { > "enabled": false, > "address": "http://localhost:5000", > "//NOTE: Change the max_sniping_distance to adjust the max sniping range (m)": {}, > "max_sniping_distance": 20000000, > "//NOTE: Change the max_walking_distance to adjust the max walking range when snipe is off (m)": {}, > "max_walking_distance": 1000, > "min_ball": 20, > "prioritize_vips": true, > "snipe": true, > "snipe_high_prio_only": true, > "snipe_high_prio_threshold": 500, > "update_map": true, > "mode": "priority", > "map_path": "raw_data", > "walker": "StepWalker", > "max_extra_dist_fort": 10, > "skip_rounds": 50, > "update_map_min_distance_meters": 500, > "update_map_min_time_sec": 120, > "snipe_sleep_sec": 2, > "snipe_max_in_chain": 1, > "debug": false, > "catch": { > "==========Legendaries==========": 0, > "Aerodactyl": 1000, > "Snorlax": 1000, > "Articuno": 1000, > "Zapdos": 1000, > "Moltres": 1000, > "Dratini": 400, > "Dragonair": 900, > "Dragonite": 1000, > "Mewtwo": 1000, > "Mew": 1000, > > ``` > "==========Region Locked==========": 0, > "Farfetch'd": 1000, > "Kangaskhan": 1000, > "Mr. Mime": 1000, > "Tauros": 400, > > "==========Very Rare==========": 0, > "Lapras": 900, > "Electabuzz": 900, > "Magmar": 600, > "Ditto": 900, > > "==========Starters==========": 0, > "Venusaur": 1000, > > "Charizard": 1000, > > "Blastoise": 1000, > > "Pikachu": 600, > "Raichu": 1000, > > "==========Semi Rare==========": 0, > "Porygon": 600, > "Scyther": 600, > "Jynx": 600, > "Hitmonlee": 600, > "Hitmonchan": 600, > > > "==========Uncommon==========": 0, > > "Omanyte": 150, > "Omastar": 500, > > "Seel": 300, > "Dewgong": 500, > > "Grimer": 200, > "Muk": 500, > > "Shellder": 200, > "Cloyster": 500, > > "Haunter": 500, > "Gengar": 1000, > > "Onix": 600, > > "Drowzee": 600, > > "Hypno": 600, > > "Vulpix": 200, > "Ninetales": 600, > > "Growlithe": 200, > "Arcanine": 700, > > "Mankey": 150, > "Primeape": 500, > > "Clefairy": 150, > "Clefable": 500, > > "Diglett": 200, > "Dugtrio": 500, > > "Meowth": 250, > "Persian": 500, > > "Psyduck": 150, > "Golduck": 500, > > "Geodude": 100, > "Graveler": 500, > "Golem": 800, > > "Kabuto": 150, > "Kabutops": 500, > > "Gyarados": 800, > > "Ponyta": 200, > "Rapidash": 500, > > "Cubone": 300, > "Marowak": 800, > > "Hitmonlee": 600, > > "Hitmonchan": 600, > > "Lickitung": 600, > > "Koffing": 200, > "Weezing": 500, > > "Rhyhorn": 200, > "Rhydon": 500, > > "Chansey": 800 > > } > } > }, > { > "type": "MoveToFort", > "config": { > "enabled": true, > "lure_attraction": true, > "lure_max_distance": 3000, > "walker": "PolylineWalker", > "log_interval": 5 > } > }, > { > "type": "FollowSpiral", > "config": { > "enabled": true, > "diameter": 4, > "step_size": 70 > } > } > ], > "map_object_cache_time":5, > "forts": { > "avoid_circles": false, > "max_circle_size": 10, > "cache_recent_forts": true > }, > "pokemon_bag": { > "// if 'show_at_start' is true, it will log all the pokemons in the bag (not eggs) at bot start": {}, > "show_at_start": true, > "// if 'show_count' is true, it will show the amount of each pokemon (minimum 1)": {}, > "show_count": true, > "// if 'show_candies' is true, it will show the amount of candies for each pokemon": {}, > "show_candies": true, > "// 'pokemon_info' parameter define which info to show for each pokemon": {}, > "// the available options are": {}, > "// ['cp', 'iv_ads', 'iv_pct', 'ivcp', 'ncp', 'level', 'hp', 'moveset', 'dps']": {}, > "pokemon_info": ["cp", "iv_pct"] > }, > "walk_max": 4.05, > "walk_min": 1.5, > "alt_min": 50, > "alt_max": 150, > "gps_default_altitude": 8.0, > "replicate_gps_xy_noise": true, > "replicate_gps_z_noise": true, > "gps_xy_noise_range": 0.000025, > "gps_z_noise_range": 12.5, > "debug": false, > "test": false, > "walker_limit_output": false, > "health_record": true, > "location_cache": true, > "distance_unit": "km", > "reconnecting_timeout": 15, > "logging": { > "color": true, > "show_datetime": true, > "show_process_name": true, > "show_log_level": true, > "show_thread_name": false > }, > "catch": { > ``` > > "Pidgey": {"catch_above_cp": 200, "catch_above_iv": 0.8, "logic": "and"}, > "Rattata": {"catch_above_cp": 100, "catch_above_iv": 0.8, "logic": "and"}, > "Venonat": {"catch_above_cp": 100, "catch_above_iv": 0.8, "logic": "and"}, > "Caterpie": {"catch_above_cp": 100, "catch_above_iv": 0.8, "logic": "and"}, > "Magikarp": {"catch_above_cp": 100, "catch_above_iv": 0.8, "logic": "and"}, > "any": {"catch_above_cp": 100, "catch_above_iv": 0.80, "logic": "or"} > }, > "vips" : { > "Any pokemon put here directly force to use Berry & Best Ball to capture, to secure the capture rate!": {}, > "any": {"catch_above_cp": 1200, "catch_above_iv": 0.9, "logic": "or" }, > "Lapras": {}, > "Moltres": {}, > "Zapdos": {}, > "Articuno": {}, > > ``` > "// S-Tier pokemons (if pokemon can be evolved into tier, list the representative)": {}, > "Mewtwo": {}, > "Dragonite": {}, > "Snorlax": {}, > "// Mew evolves to Mewtwo": {}, > "Mew": {}, > "Arcanine": {}, > "Gyarados": {}, > "Muk": {}, > "Weezing": {}, > "Farfetch'd": {}, > "Kangaskhan": {}, > "Mr. Mime": {}, > "Tauros": {}, > "Chansey": {}, > "Hitmonlee": {}, > "Hitmonchan": {}, > "Lickitung": {} > }, > ``` > > "// websocket": { > "start_embedded_server": true, > "server_url": "127.0.0.1:4000" > } > } ### Output when issue occurred <!-- Provide a reasonable sample from your output log (not just the error message), feel free to use services such as pastebin.com to reduce clutter --> ### > [2016-09-08 17:14:43] [FollowPath] [INFO] Walking from (1.2822329603267415, 103.84856884464244, 6.9831008920896815) to (1.28159, 103.84954, 8.0), distance left: (0.13 km) .. > [2016-09-08 17:14:44] [FollowPath] [INFO] Walking from (1.2822173743405245, 103.84859272724482, 7.019579344939509) to (1.28159, 103.84954, 8.0), distance left: (0.13 km) .. > [2016-09-08 17:14:44] [FollowPath] [INFO] Walking from (1.282207140150134, 103.84861363027034, 6.870531895863424) to (1.28159, 103.84954, 8.0), distance left: (0.12 km) .. > [2016-09-08 17:14:46] [FollowPath] [INFO] Walking from (1.2821885064333336, 103.84863530593056, 7.006849357343985) to (1.28159, 103.84954, 8.0), distance left: (0.12 km) .. > [2016-09-08 17:14:46] [FollowPath] [INFO] Walking from (1.2821764800511342, 103.84866012210817, 6.81169709598659) to (1.28159, 103.84954, 8.0), distance left: (0.12 km) .. > [2016-09-08 17:14:46] [FollowPath] [INFO] Walking from (1.282158851833149, 103.84868740232228, 6.5877677667145615) to (1.28159, 103.84954, 8.0), distance left: (0.11 km) .. > [2016-09-08 17:14:47] [FollowPath] [INFO] Walking from (1.2821531514554323, 103.84870110136663, 6.737180797950861) to (1.28159, 103.84954, 8.0), distance left: (0.11 km) .. > [2016-09-08 17:14:47] [FollowPath] [INFO] Walking from (1.2821435645809875, 103.84871428048802, 6.692980364469391) to (1.28159, 103.84954, 8.0), distance left: (0.11 km) .. > [2016-09-08 17:14:48] [FollowPath] [INFO] Walking from (1.2821249819883451, 103.8487409365683, 6.4307794807360725) to (1.28159, 103.84954, 8.0), distance left: (0.11 km) .. > [Errno 104] Connection reset by peer > [2016-09-08 17:14:51] [FollowPath] [INFO] Walking from (1.2821046031059775, 103.84876790023392, 6.696229715587473) to (1.28159, 103.84954, 8.0), distance left: (0.10 km) .. > [2016-09-08 17:14:51] [FollowPath] [INFO] Walking from (1.2820895909344112, 103.84879042769884, 6.39928771721838) to (1.28159, 103.84954, 8.0), distance left: (0.10 km) .. > [2016-09-08 17:14:52] [FollowPath] [INFO] Walking from (1.2820736494507539, 103.84881351440362, 6.561910277071261) to (1.28159, 103.84954, 8.0), distance left: (0.10 km) .. > [2016-09-08 17:14:52] [FollowPath] [INFO] Walking from (1.2820625565007053, 103.84883449184692, 6.1879122387896475) to (1.28159, 103.84954, 8.0), distance left: (0.09 km) .. > [2016-09-08 17:14:53] [FollowPath] [INFO] Walking from (1.282044204740045, 103.84885864558099, 6.081337295838932) to (1.28159, 103.84954, 8.0), distance left: (0.09 km) .. > [2016-09-08 17:14:55] [FollowPath] [INFO] Walking from (1.2820277346917104, 103.84888841962031, 6.149848154465416) to (1.28159, 103.84954, 8.0), distance left: (0.09 km) .. > [2016-09-08 17:14:57] [FollowPath] [INFO] Walking from (1.2820157630513938, 103.84890771821017, 6.03107376132378) to (1.28159, 103.84954, 8.0), distance left: (0.08 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.282006488297446, 103.84892291668609, 6.079000003988139) to (1.28159, 103.84954, 8.0), distance left: (0.08 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2819965841229959, 103.84894028651257, 6.239070676921683) to (1.28159, 103.84954, 8.0), distance left: (0.08 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.281983788201427, 103.84896079415076, 6.160117770656144) to (1.28159, 103.84954, 8.0), distance left: (0.08 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2819595265958836, 103.84899211686333, 6.14419774650847) to (1.28159, 103.84954, 8.0), distance left: (0.07 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2819530495092883, 103.84900870081783, 5.809002317798816) to (1.28159, 103.84954, 8.0), distance left: (0.07 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2819396025193648, 103.84902747368704, 6.013795541508898) to (1.28159, 103.84954, 8.0), distance left: (0.07 km) .. > [2016-09-08 17:14:58] [ShowBestPokemon] [INFO] [Dragonite, CP 1903, IVCP 0.61, DPS 15.04, HP 110/110] | [Exeggutor, CP 1672, IVCP 0.93, DPS 12.63, HP 120/120] | [Snorlax, CP 1592, IVCP 0.96, DPS 14.76, HP 188/188] | [Slowbro, CP 1543, IVCP 0.62, DPS 11.1, HP 128/128] | [Poliwrath, CP 1412, IVCP 0.58, DPS 15.07, HP 112/112] > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2819212199911862, 103.84905164571042, 5.9986907722255784) to (1.28159, 103.84954, 8.0), distance left: (0.07 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2819021017387908, 103.84908161182864, 5.884047698539518) to (1.28159, 103.84954, 8.0), distance left: (0.06 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2818875268892536, 103.84910170591895, 5.961126733794691) to (1.28159, 103.84954, 8.0), distance left: (0.06 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.281877693976794, 103.84911227534087, 5.937811099180854) to (1.28159, 103.84954, 8.0), distance left: (0.06 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.281869464874571, 103.84911984817698, 6.169356850129349) to (1.28159, 103.84954, 8.0), distance left: (0.06 km) .. > [2016-09-08 17:14:58] [FollowPath] [INFO] Walking from (1.2818524229388346, 103.84914677287854, 5.8894334753407644) to (1.28159, 103.84954, 8.0), distance left: (0.05 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2818366011298046, 103.84917454290564, 6.07201137960963) to (1.28159, 103.84954, 8.0), distance left: (0.05 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2818220605154116, 103.84920464098141, 6.060498823247519) to (1.28159, 103.84954, 8.0), distance left: (0.05 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2818127277038827, 103.84922300901275, 5.8179675692190544) to (1.28159, 103.84954, 8.0), distance left: (0.04 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2818015352885703, 103.84924136929958, 6.019985316072789) to (1.28159, 103.84954, 8.0), distance left: (0.04 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2817889197071597, 103.84926829100651, 6.1629680883794205) to (1.28159, 103.84954, 8.0), distance left: (0.04 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.281779669264147, 103.8492855245992, 5.834310162945999) to (1.28159, 103.84954, 8.0), distance left: (0.04 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2817753093145552, 103.84930155217383, 6.039551124080895) to (1.28159, 103.84954, 8.0), distance left: (0.03 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.281767773236263, 103.8493187948893, 6.1285970751347785) to (1.28159, 103.84954, 8.0), distance left: (0.03 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2817591905414398, 103.8493346770986, 5.964372475321875) to (1.28159, 103.84954, 8.0), distance left: (0.03 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2817397574507825, 103.84936311001428, 5.624440393289487) to (1.28159, 103.84954, 8.0), distance left: (0.03 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2817210091065274, 103.84939309366355, 5.558625536755718) to (1.28159, 103.84954, 8.0), distance left: (0.02 km) .. > [2016-09-08 17:14:59] [FollowPath] [INFO] Walking from (1.2817142106839563, 103.84940907866356, 5.687042991253283) to (1.28159, 103.84954, 8.0), distance left: (0.02 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.2817010140379081, 103.84943116796408, 5.7156884003350195) to (1.28159, 103.84954, 8.0), distance left: (0.02 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.2816940066543274, 103.84944529971715, 5.635705808826364) to (1.28159, 103.84954, 8.0), distance left: (0.02 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.2816867237140754, 103.84945957065167, 5.540045912976002) to (1.28159, 103.84954, 8.0), distance left: (0.01 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.2816701572800249, 103.84948273373465, 5.3368082723085815) to (1.28159, 103.84954, 8.0), distance left: (0.01 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.281660355867361, 103.84950066095435, 5.493707363433482) to (1.28159, 103.84954, 8.0), distance left: (0.01 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.2816425159886293, 103.84952266226941, 5.474183746956065) to (1.28159, 103.84954, 8.0), distance left: (0.01 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.2816212333081076, 103.84953426587411, 5.261470935109754) to (1.28159, 103.84954, 8.0), distance left: (0.00 km) .. > [2016-09-08 17:15:00] [FollowPath] [INFO] Walking from (1.281601577114721, 103.84953788323577, 5.316136500049653) to (1.28159, 103.84954, 8.0), distance left: (0.00 km) .. ### Steps to Reproduce <!-- Tell us the steps you have taken to reproduce the issue --> Task Bot to use followpath ### Other Information OS: Linux Mint <!-- Tell us what Operating system you're using --> Branch: dev <!-- dev or master --> Git Commit: 6aea15fc0a201d529de8c9d4cb3bf19cebc1cbb4 <!-- run 'git log -n 1 --pretty=format:"%H"' --> Python Version: <!-- run 'python -V' and paste it here) --> Any other relevant files/configs (eg: path files) <!-- Anything else which may be of relevance -->
pyca__cryptography-3819
[ { "content": "# This file is dual licensed under the terms of the Apache License, Version\n# 2.0, and the BSD License. See the LICENSE file in the root of this repository\n# for complete details.\n\nfrom __future__ import absolute_import, division, print_function\n\nimport warnings\n\nfrom cryptography import utils\nfrom cryptography.hazmat.primitives import hashes\nfrom cryptography.hazmat.primitives.asymmetric.utils import Prehashed\n\n\ndef _calculate_digest_and_algorithm(backend, data, algorithm):\n if not isinstance(algorithm, Prehashed):\n hash_ctx = hashes.Hash(algorithm, backend)\n hash_ctx.update(data)\n data = hash_ctx.finalize()\n else:\n algorithm = algorithm._algorithm\n\n if len(data) != algorithm.digest_size:\n raise ValueError(\n \"The provided data must be the same length as the hash \"\n \"algorithm's digest size.\"\n )\n\n return (data, algorithm)\n\n\ndef _check_not_prehashed(signature_algorithm):\n if isinstance(signature_algorithm, Prehashed):\n raise TypeError(\n \"Prehashed is only supported in the sign and verify methods. \"\n \"It cannot be used with signer or verifier.\"\n )\n\n\ndef _warn_sign_verify_deprecated():\n warnings.warn(\n \"signer and verifier have been deprecated. Please use sign \"\n \"and verify instead.\",\n utils.PersistentlyDeprecated,\n stacklevel=2\n )\n", "path": "src/cryptography/hazmat/backends/openssl/utils.py" } ]
[ { "content": "# This file is dual licensed under the terms of the Apache License, Version\n# 2.0, and the BSD License. See the LICENSE file in the root of this repository\n# for complete details.\n\nfrom __future__ import absolute_import, division, print_function\n\nimport warnings\n\nfrom cryptography import utils\nfrom cryptography.hazmat.primitives import hashes\nfrom cryptography.hazmat.primitives.asymmetric.utils import Prehashed\n\n\ndef _calculate_digest_and_algorithm(backend, data, algorithm):\n if not isinstance(algorithm, Prehashed):\n hash_ctx = hashes.Hash(algorithm, backend)\n hash_ctx.update(data)\n data = hash_ctx.finalize()\n else:\n algorithm = algorithm._algorithm\n\n if len(data) != algorithm.digest_size:\n raise ValueError(\n \"The provided data must be the same length as the hash \"\n \"algorithm's digest size.\"\n )\n\n return (data, algorithm)\n\n\ndef _check_not_prehashed(signature_algorithm):\n if isinstance(signature_algorithm, Prehashed):\n raise TypeError(\n \"Prehashed is only supported in the sign and verify methods. \"\n \"It cannot be used with signer or verifier.\"\n )\n\n\ndef _warn_sign_verify_deprecated():\n warnings.warn(\n \"signer and verifier have been deprecated. Please use sign \"\n \"and verify instead.\",\n utils.PersistentlyDeprecated,\n stacklevel=3\n )\n", "path": "src/cryptography/hazmat/backends/openssl/utils.py" } ]
diff --git a/src/cryptography/hazmat/backends/openssl/utils.py b/src/cryptography/hazmat/backends/openssl/utils.py index ff1b97458735..05d0fe589158 100644 --- a/src/cryptography/hazmat/backends/openssl/utils.py +++ b/src/cryptography/hazmat/backends/openssl/utils.py @@ -41,5 +41,5 @@ def _warn_sign_verify_deprecated(): "signer and verifier have been deprecated. Please use sign " "and verify instead.", utils.PersistentlyDeprecated, - stacklevel=2 + stacklevel=3 )
Signer/Verifier deprecation warning has wrong stacklevel Seeing this with Cryptography 2.0: ``` .../python3.5/site-packages/cryptography/hazmat/backends/openssl/rsa.py:477: DeprecationWarning: signer and verifier have been deprecated. Please use sign and verify instead. _warn_sign_verify_deprecated() .../python3.5/site-packages/cryptography/hazmat/backends/openssl/rsa.py:382: DeprecationWarning: signer and verifier have been deprecated. Please use sign and verify instead. _warn_sign_verify_deprecated() ``` I see a few open issues related to deprecations (e.g. #3794), but I'm not sure if any of them cover this particular message.
hedyorg__hedy-213
[ { "content": "# coding=utf-8\nimport datetime\nimport collections\nfrom functools import wraps\nimport hedy\nimport json\nimport jsonbin\nimport logging\nimport os\nfrom os import path\nimport re\nimport requests\nimport uuid\nimport yaml\nfrom flask_commonmark import Commonmark\nfrom werkzeug.urls import url_encode\nfrom config import config\nfrom auth import auth_templates, current_user, requires_login, is_admin\nfrom utils import db_get, db_get_many, db_set, timems, type_check, object_check, db_del\n\n# app.py\nfrom flask import Flask, request, jsonify, render_template, session, abort, g, redirect\nfrom flask_compress import Compress\n\n# Hedy-specific modules\nimport courses\nimport hedyweb\n\n# Define and load all available language data\nALL_LANGUAGES = {\n 'en': 'English',\n 'nl': 'Nederlands',\n 'es': 'Español',\n 'fr': 'Français',\n 'pt_br': 'Português',\n 'de': 'Deutsch',\n}\n\nLEVEL_DEFAULTS = collections.defaultdict(courses.NoSuchDefaults)\nfor lang in ALL_LANGUAGES.keys():\n LEVEL_DEFAULTS[lang] = courses.LevelDefaults(lang)\n\nHEDY_COURSE = collections.defaultdict(courses.NoSuchCourse)\nfor lang in ALL_LANGUAGES.keys():\n HEDY_COURSE[lang] = courses.Course('hedy', lang, LEVEL_DEFAULTS[lang])\n\nSPACE_EU_COURSE = {'nl': courses.Course('space_eu', 'nl', LEVEL_DEFAULTS['nl']),\n 'en': courses.Course('space_eu', 'en', LEVEL_DEFAULTS['en']),\n 'es': courses.Course('space_eu', 'es', LEVEL_DEFAULTS['es'])\n }\n\nONLINE_MASTERS_COURSE = courses.Course('online_masters', 'nl', LEVEL_DEFAULTS['nl'])\n\nTRANSLATIONS = hedyweb.Translations()\n\n# Load main menu (do it once, can be cached)\nwith open(f'main/menu.json', 'r') as f:\n main_menu_json = json.load(f)\n\n\nlogging.basicConfig(\n level=logging.DEBUG,\n format='[%(asctime)s] %(levelname)-8s: %(message)s')\n\napp = Flask(__name__, static_url_path='')\n\n# HTTP -> HTTPS redirect\n# https://stackoverflow.com/questions/32237379/python-flask-redirect-to-https-from-http/32238093\nif os.getenv ('REDIRECT_HTTP_TO_HTTPS'):\n @app.before_request\n def before_request():\n if request.url.startswith('http://'):\n url = request.url.replace('http://', 'https://', 1)\n # We use a 302 in case we need to revert the redirect.\n return redirect(url, code=302)\n\n# Unique random key for sessions\napp.config['SECRET_KEY'] = uuid.uuid4().hex\n\nCompress(app)\nCommonmark(app)\nlogger = jsonbin.JsonBinLogger.from_env_vars()\n\nif not os.getenv('HEROKU_RELEASE_CREATED_AT'):\n logging.warning('Cannot determine release; enable Dyno metadata by running \"heroku labs:enable runtime-dyno-metadata -a <APP_NAME>\"')\n\[email protected]('/parse', methods=['POST'])\ndef parse():\n body = request.json\n if not body:\n return \"body must be an object\", 400\n if 'code' not in body:\n return \"body.code must be a string\", 400\n if 'level' not in body:\n return \"body.level must be a string\", 400\n\n code = body ['code']\n level = int(body ['level'])\n # Language should come principally from the request body,\n # but we'll fall back to browser default if it's missing for whatever\n # reason.\n lang = body.get('lang', requested_lang())\n\n # For debugging\n print(f\"got code {code}\")\n\n response = {}\n username = current_user(request) ['username'] or None\n\n # Check if user sent code\n if not code:\n response[\"Error\"] = \"no code found, please send code.\"\n # is so, parse\n else:\n try:\n hedy_errors = TRANSLATIONS.get_translations(lang, 'HedyErrorMessages')\n result = hedy.transpile(code, level)\n response[\"Code\"] = \"# coding=utf8\\n\" + result\n except hedy.HedyException as E:\n # some 'errors' can be fixed, for these we throw an exception, but also\n # return fixed code, so it can be ran\n if E.args[0] == \"Invalid Space\":\n error_template = hedy_errors[E.error_code]\n response[\"Code\"] = \"# coding=utf8\\n\" + E.arguments['fixed_code']\n response[\"Warning\"] = error_template.format(**E.arguments)\n elif E.args[0] == \"Parse\":\n error_template = hedy_errors[E.error_code]\n # Localize the names of characters\n # Localize the names of characters\n if 'character_found' in E.arguments:\n E.arguments['character_found'] = hedy_errors[E.arguments['character_found']]\n response[\"Error\"] = error_template.format(**E.arguments)\n else:\n error_template = hedy_errors[E.error_code]\n response[\"Error\"] = error_template.format(**E.arguments)\n except Exception as E:\n print(f\"error transpiling {code}\")\n response[\"Error\"] = str(E)\n\n logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': level,\n 'lang': lang,\n 'code': code,\n 'server_error': response.get('Error'),\n 'version': version(),\n 'username': username\n })\n\n return jsonify(response)\n\[email protected]('/report_error', methods=['POST'])\ndef report_error():\n post_body = request.json\n\n logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': post_body.get('level'),\n 'code': post_body.get('code'),\n 'client_error': post_body.get('client_error'),\n 'version': version(),\n 'username': current_user(request) ['username'] or None\n })\n\n return 'logged'\n\ndef programs_page (request):\n username = current_user(request) ['username']\n if not username:\n return \"unauthorized\", 403\n\n lang = requested_lang()\n query_lang = request.args.get('lang') or ''\n if query_lang:\n query_lang = '?lang=' + query_lang\n\n from_user = request.args.get('user') or None\n if from_user and not is_admin (request):\n return \"unauthorized\", 403\n\n texts=TRANSLATIONS.data [lang] ['Programs']\n\n result = db_get_many ('programs', {'username': from_user or username}, True)\n programs = []\n now = timems ()\n for item in result:\n measure = texts ['minutes']\n date = round ((now - item ['date']) / 60000)\n if date > 90:\n measure = texts ['hours']\n date = round (date / 60)\n if date > 36:\n measure = texts ['days']\n\n date = round (date / 24)\n\n programs.append ({'id': item ['id'], 'code': item ['code'], 'date': texts ['ago-1'] + ' ' + str (date) + ' ' + measure + ' ' + texts ['ago-2'], 'level': item ['level'], 'name': item ['name']})\n\n return render_template('programs.html', lang=requested_lang(), menu=render_main_menu('programs'), texts=texts, auth=TRANSLATIONS.data [lang] ['Auth'], programs=programs, username=username, current_page='programs', query_lang=query_lang, from_user=from_user)\n\n# @app.route('/post/', methods=['POST'])\n# for now we do not need a post but I am leaving it in for a potential future\n\n# routing to index.html\[email protected]('/hedy', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/hedy/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/hedy/<level>/<step>', methods=['GET'])\ndef index(level, step):\n session_id() # Run this for the side effect of generating a session ID\n g.level = level = int(level)\n g.lang = requested_lang()\n g.prefix = '/hedy'\n\n # If step is a string that has more than two characters, it must be an id of a program\n if step and type_check (step, 'str') and len (step) > 2:\n result = db_get ('programs', {'id': step})\n if not result:\n return 'No such program', 404\n # Allow both the owner of the program and the admin user to access the program\n user = current_user (request)\n if user ['username'] != result ['username'] and not is_admin (request):\n return 'No such program!', 404\n loaded_program = result ['code']\n # We default to step 1 to provide a meaningful default assignment\n step = 1\n else:\n loaded_program = None\n\n return hedyweb.render_assignment_editor(\n request=request,\n course=HEDY_COURSE[g.lang],\n level_number=level,\n assignment_number=step,\n menu=render_main_menu('hedy'),\n translations=TRANSLATIONS,\n version=version(),\n loaded_program=loaded_program)\n\[email protected]('/onlinemasters', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/onlinemasters/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/onlinemasters/<level>/<step>', methods=['GET'])\ndef onlinemasters(level, step):\n session_id() # Run this for the side effect of generating a session ID\n g.level = level = int(level)\n g.lang = lang = requested_lang()\n g.prefix = '/onlinemasters'\n\n return hedyweb.render_assignment_editor(\n request=request,\n course=ONLINE_MASTERS_COURSE,\n level_number=level,\n assignment_number=step,\n translations=TRANSLATIONS,\n version=version(),\n menu=None,\n loaded_program=None)\n\[email protected]('/space_eu', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/space_eu/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/space_eu/<level>/<step>', methods=['GET'])\ndef space_eu(level, step):\n session_id() # Run this for the side effect of generating a session ID\n g.level = level = int(level)\n g.lang = requested_lang()\n g.prefix = '/space_eu'\n\n return hedyweb.render_assignment_editor(\n request=request,\n course=SPACE_EU_COURSE[g.lang],\n level_number=level,\n assignment_number=step,\n translations=TRANSLATIONS,\n version=version(),\n menu=None,\n loaded_program=None)\n\n\n\[email protected]('/error_messages.js', methods=['GET'])\ndef error():\n error_messages = TRANSLATIONS.get_translations(requested_lang(), \"ClientErrorMessages\")\n return render_template(\"error_messages.js\", error_messages=json.dumps(error_messages))\n\n\[email protected](500)\ndef internal_error(exception):\n import traceback\n print(traceback.format_exc())\n return \"<h1>500 Internal Server Error</h1>\"\n\[email protected]('/index.html')\[email protected]('/')\ndef default_landing_page():\n return main_page('start')\n\[email protected]('/<page>')\ndef main_page(page):\n if page == 'favicon.ico':\n abort(404)\n\n lang = requested_lang()\n effective_lang = lang\n\n if page in ['signup', 'login', 'my-profile', 'recover', 'reset', 'admin']:\n return auth_templates(page, lang, render_main_menu(page), request)\n\n if page == 'programs':\n return programs_page(request)\n\n # Default to English if requested language is not available\n if not path.isfile(f'main/{page}-{effective_lang}.md'):\n effective_lang = 'en'\n\n try:\n with open(f'main/{page}-{effective_lang}.md', 'r') as f:\n contents = f.read()\n except IOError:\n abort(404)\n\n front_matter, markdown = split_markdown_front_matter(contents)\n\n menu = render_main_menu(page)\n return render_template('main-page.html', mkd=markdown, lang=lang, menu=menu, username=current_user(request) ['username'], auth=TRANSLATIONS.data [lang] ['Auth'], **front_matter)\n\n\ndef session_id():\n \"\"\"Returns or sets the current session ID.\"\"\"\n if 'session_id' not in session:\n session['session_id'] = uuid.uuid4().hex\n return session['session_id']\n\n\ndef requested_lang():\n \"\"\"Return the user's requested language code.\n\n If not in the request parameters, use the browser's accept-languages\n header to do language negotiation.\n \"\"\"\n lang = request.args.get(\"lang\")\n if lang: return lang\n\n return request.accept_languages.best_match(ALL_LANGUAGES.keys(), 'en')\n\[email protected]_global()\ndef current_language():\n return make_lang_obj(requested_lang())\n\[email protected]_global()\ndef hedy_link(level_nr, assignment_nr, subpage=None, lang=None):\n \"\"\"Make a link to a Hedy page.\"\"\"\n parts = [g.prefix]\n parts.append('/' + str(level_nr))\n if str(assignment_nr) != '1' or subpage:\n parts.append('/' + str(assignment_nr if assignment_nr else '1'))\n if subpage and subpage != 'code':\n parts.append('/' + subpage)\n parts.append('?')\n parts.append('lang=' + (lang if lang else requested_lang()))\n return ''.join(parts)\n\[email protected]_global()\ndef other_languages():\n cl = requested_lang()\n return [make_lang_obj(l) for l in ALL_LANGUAGES.keys() if l != cl]\n\n\ndef make_lang_obj(lang):\n \"\"\"Make a language object for a given language.\"\"\"\n return {\n 'sym': ALL_LANGUAGES[lang],\n 'lang': lang\n }\n\n\[email protected]_global()\ndef modify_query(**new_values):\n args = request.args.copy()\n\n for key, value in new_values.items():\n args[key] = value\n\n return '{}?{}'.format(request.path, url_encode(args))\n\n\ndef no_none_sense(d):\n \"\"\"Remove all None values from a dict.\"\"\"\n return {k: v for k, v in d.items() if v is not None}\n\n\ndef version():\n \"\"\"Get the version from the Heroku environment variables.\"\"\"\n if not os.getenv('DYNO'):\n # Not on Heroku\n return 'DEV'\n\n vrz = os.getenv('HEROKU_RELEASE_CREATED_AT')\n the_date = datetime.date.fromisoformat(vrz[:10]) if vrz else datetime.date.today()\n\n commit = os.getenv('HEROKU_SLUG_COMMIT', '????')[0:6]\n return the_date.strftime('%b %d') + f' ({commit})'\n\n\ndef split_markdown_front_matter(md):\n parts = re.split('^---', md, 1, re.M)\n if len(parts) == 1:\n return {}, md\n # safe_load returns 'None' if the string is empty\n front_matter = yaml.safe_load(parts[0]) or {}\n return front_matter, parts[1]\n\n\ndef render_main_menu(current_page):\n \"\"\"Render a list of (caption, href, selected, color) from the main menu.\"\"\"\n return [dict(\n caption=item.get(requested_lang(), item.get('en', '???')),\n href='/' + item['_'],\n selected=(current_page == item['_']),\n accent_color=item.get('accent_color', 'white')\n ) for item in main_menu_json['nav']]\n\n# *** PROGRAMS ***\n\n# Not very restful to use a GET to delete something, but indeed convenient; we can do it with a single link and avoiding AJAX.\[email protected]('/programs/delete/<program_id>', methods=['GET'])\n@requires_login\ndef delete_program (user, program_id):\n result = db_get ('programs', {'id': program_id})\n if not result or result ['username'] != user ['username']:\n return \"\", 404\n db_del ('programs', {'id': program_id})\n return redirect ('/programs')\n\[email protected]('/programs', methods=['POST'])\n@requires_login\ndef save_program (user):\n\n body = request.json\n if not type_check (body, 'dict'):\n return 'body must be an object', 400\n if not object_check (body, 'code', 'str'):\n return 'code must be a string', 400\n if not object_check (body, 'name', 'str'):\n return 'name must be a string', 400\n if not object_check (body, 'level', 'int'):\n return 'level must be an integer', 400\n\n # We execute the saved program to see if it would generate an error or not\n error = None\n try:\n hedy_errors = TRANSLATIONS.get_translations(requested_lang(), 'HedyErrorMessages')\n result = hedy.transpile(body ['code'], body ['level'])\n except hedy.HedyException as E:\n error_template = hedy_errors[E.error_code]\n error = error_template.format(**E.arguments)\n except Exception as E:\n error = str(E)\n\n name = body ['name']\n\n # We check if a program with a name `xyz` exists in the database for the username. If it does, we exist whether `xyz (1)` exists, until we find a program `xyz (NN)` that doesn't exist yet.\n # It'd be ideal to search by username & program name, but since DynamoDB doesn't allow searching for two indexes at the same time, this would require to create a special index to that effect, which is cumbersome.\n # For now, we bring all existing programs for the user and then search within them for repeated names.\n existing = db_get_many ('programs', {'username': user ['username']}, True)\n name_counter = 0\n for program in existing:\n if re.match ('^' + re.escape (name) + '( \\(\\d+\\))*', program ['name']):\n name_counter = name_counter + 1\n if name_counter:\n name = name + ' (' + str (name_counter) + ')'\n\n db_set('programs', {\n 'id': uuid.uuid4().hex,\n 'session': session_id(),\n 'date': timems (),\n 'lang': requested_lang(),\n 'version': version(),\n 'level': body ['level'],\n 'code': body ['code'],\n 'name': name,\n 'server_error': error,\n 'username': user ['username']\n })\n\n return jsonify({})\n\n# *** AUTH ***\n\nimport auth\nauth.routes(app, requested_lang)\n\n# *** START SERVER ***\n\nif __name__ == '__main__':\n # Threaded option to enable multiple instances for multiple user access support\n app.run(threaded=True, port=config ['port'])\n", "path": "app.py" } ]
[ { "content": "import sys\nif (sys.version_info.major < 4 or sys.version_info.minor < 6):\n print ('Hedy requires Python 3.6 or newer to run. However, your version of Python is', '.'.join ([str (sys.version_info.major), str (sys.version_info.minor), str (sys.version_info.micro)]))\n quit ()\n\n# coding=utf-8\nimport datetime\nimport collections\nfrom functools import wraps\nimport hedy\nimport json\nimport jsonbin\nimport logging\nimport os\nfrom os import path\nimport re\nimport requests\nimport uuid\nimport yaml\nfrom flask_commonmark import Commonmark\nfrom werkzeug.urls import url_encode\nfrom config import config\nfrom auth import auth_templates, current_user, requires_login, is_admin\nfrom utils import db_get, db_get_many, db_set, timems, type_check, object_check, db_del\n\n# app.py\nfrom flask import Flask, request, jsonify, render_template, session, abort, g, redirect\nfrom flask_compress import Compress\n\n# Hedy-specific modules\nimport courses\nimport hedyweb\n\n# Define and load all available language data\nALL_LANGUAGES = {\n 'en': 'English',\n 'nl': 'Nederlands',\n 'es': 'Español',\n 'fr': 'Français',\n 'pt_br': 'Português',\n 'de': 'Deutsch',\n}\n\nLEVEL_DEFAULTS = collections.defaultdict(courses.NoSuchDefaults)\nfor lang in ALL_LANGUAGES.keys():\n LEVEL_DEFAULTS[lang] = courses.LevelDefaults(lang)\n\nHEDY_COURSE = collections.defaultdict(courses.NoSuchCourse)\nfor lang in ALL_LANGUAGES.keys():\n HEDY_COURSE[lang] = courses.Course('hedy', lang, LEVEL_DEFAULTS[lang])\n\nSPACE_EU_COURSE = {'nl': courses.Course('space_eu', 'nl', LEVEL_DEFAULTS['nl']),\n 'en': courses.Course('space_eu', 'en', LEVEL_DEFAULTS['en']),\n 'es': courses.Course('space_eu', 'es', LEVEL_DEFAULTS['es'])\n }\n\nONLINE_MASTERS_COURSE = courses.Course('online_masters', 'nl', LEVEL_DEFAULTS['nl'])\n\nTRANSLATIONS = hedyweb.Translations()\n\n# Load main menu (do it once, can be cached)\nwith open(f'main/menu.json', 'r') as f:\n main_menu_json = json.load(f)\n\n\nlogging.basicConfig(\n level=logging.DEBUG,\n format='[%(asctime)s] %(levelname)-8s: %(message)s')\n\napp = Flask(__name__, static_url_path='')\n\n# HTTP -> HTTPS redirect\n# https://stackoverflow.com/questions/32237379/python-flask-redirect-to-https-from-http/32238093\nif os.getenv ('REDIRECT_HTTP_TO_HTTPS'):\n @app.before_request\n def before_request():\n if request.url.startswith('http://'):\n url = request.url.replace('http://', 'https://', 1)\n # We use a 302 in case we need to revert the redirect.\n return redirect(url, code=302)\n\n# Unique random key for sessions\napp.config['SECRET_KEY'] = uuid.uuid4().hex\n\nCompress(app)\nCommonmark(app)\nlogger = jsonbin.JsonBinLogger.from_env_vars()\n\nif not os.getenv('HEROKU_RELEASE_CREATED_AT'):\n logging.warning('Cannot determine release; enable Dyno metadata by running \"heroku labs:enable runtime-dyno-metadata -a <APP_NAME>\"')\n\[email protected]('/parse', methods=['POST'])\ndef parse():\n body = request.json\n if not body:\n return \"body must be an object\", 400\n if 'code' not in body:\n return \"body.code must be a string\", 400\n if 'level' not in body:\n return \"body.level must be a string\", 400\n\n code = body ['code']\n level = int(body ['level'])\n # Language should come principally from the request body,\n # but we'll fall back to browser default if it's missing for whatever\n # reason.\n lang = body.get('lang', requested_lang())\n\n # For debugging\n print(f\"got code {code}\")\n\n response = {}\n username = current_user(request) ['username'] or None\n\n # Check if user sent code\n if not code:\n response[\"Error\"] = \"no code found, please send code.\"\n # is so, parse\n else:\n try:\n hedy_errors = TRANSLATIONS.get_translations(lang, 'HedyErrorMessages')\n result = hedy.transpile(code, level)\n response[\"Code\"] = \"# coding=utf8\\n\" + result\n except hedy.HedyException as E:\n # some 'errors' can be fixed, for these we throw an exception, but also\n # return fixed code, so it can be ran\n if E.args[0] == \"Invalid Space\":\n error_template = hedy_errors[E.error_code]\n response[\"Code\"] = \"# coding=utf8\\n\" + E.arguments['fixed_code']\n response[\"Warning\"] = error_template.format(**E.arguments)\n elif E.args[0] == \"Parse\":\n error_template = hedy_errors[E.error_code]\n # Localize the names of characters\n # Localize the names of characters\n if 'character_found' in E.arguments:\n E.arguments['character_found'] = hedy_errors[E.arguments['character_found']]\n response[\"Error\"] = error_template.format(**E.arguments)\n else:\n error_template = hedy_errors[E.error_code]\n response[\"Error\"] = error_template.format(**E.arguments)\n except Exception as E:\n print(f\"error transpiling {code}\")\n response[\"Error\"] = str(E)\n\n logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': level,\n 'lang': lang,\n 'code': code,\n 'server_error': response.get('Error'),\n 'version': version(),\n 'username': username\n })\n\n return jsonify(response)\n\[email protected]('/report_error', methods=['POST'])\ndef report_error():\n post_body = request.json\n\n logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': post_body.get('level'),\n 'code': post_body.get('code'),\n 'client_error': post_body.get('client_error'),\n 'version': version(),\n 'username': current_user(request) ['username'] or None\n })\n\n return 'logged'\n\ndef programs_page (request):\n username = current_user(request) ['username']\n if not username:\n return \"unauthorized\", 403\n\n lang = requested_lang()\n query_lang = request.args.get('lang') or ''\n if query_lang:\n query_lang = '?lang=' + query_lang\n\n from_user = request.args.get('user') or None\n if from_user and not is_admin (request):\n return \"unauthorized\", 403\n\n texts=TRANSLATIONS.data [lang] ['Programs']\n\n result = db_get_many ('programs', {'username': from_user or username}, True)\n programs = []\n now = timems ()\n for item in result:\n measure = texts ['minutes']\n date = round ((now - item ['date']) / 60000)\n if date > 90:\n measure = texts ['hours']\n date = round (date / 60)\n if date > 36:\n measure = texts ['days']\n\n date = round (date / 24)\n\n programs.append ({'id': item ['id'], 'code': item ['code'], 'date': texts ['ago-1'] + ' ' + str (date) + ' ' + measure + ' ' + texts ['ago-2'], 'level': item ['level'], 'name': item ['name']})\n\n return render_template('programs.html', lang=requested_lang(), menu=render_main_menu('programs'), texts=texts, auth=TRANSLATIONS.data [lang] ['Auth'], programs=programs, username=username, current_page='programs', query_lang=query_lang, from_user=from_user)\n\n# @app.route('/post/', methods=['POST'])\n# for now we do not need a post but I am leaving it in for a potential future\n\n# routing to index.html\[email protected]('/hedy', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/hedy/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/hedy/<level>/<step>', methods=['GET'])\ndef index(level, step):\n session_id() # Run this for the side effect of generating a session ID\n g.level = level = int(level)\n g.lang = requested_lang()\n g.prefix = '/hedy'\n\n # If step is a string that has more than two characters, it must be an id of a program\n if step and type_check (step, 'str') and len (step) > 2:\n result = db_get ('programs', {'id': step})\n if not result:\n return 'No such program', 404\n # Allow both the owner of the program and the admin user to access the program\n user = current_user (request)\n if user ['username'] != result ['username'] and not is_admin (request):\n return 'No such program!', 404\n loaded_program = result ['code']\n # We default to step 1 to provide a meaningful default assignment\n step = 1\n else:\n loaded_program = None\n\n return hedyweb.render_assignment_editor(\n request=request,\n course=HEDY_COURSE[g.lang],\n level_number=level,\n assignment_number=step,\n menu=render_main_menu('hedy'),\n translations=TRANSLATIONS,\n version=version(),\n loaded_program=loaded_program)\n\[email protected]('/onlinemasters', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/onlinemasters/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/onlinemasters/<level>/<step>', methods=['GET'])\ndef onlinemasters(level, step):\n session_id() # Run this for the side effect of generating a session ID\n g.level = level = int(level)\n g.lang = lang = requested_lang()\n g.prefix = '/onlinemasters'\n\n return hedyweb.render_assignment_editor(\n request=request,\n course=ONLINE_MASTERS_COURSE,\n level_number=level,\n assignment_number=step,\n translations=TRANSLATIONS,\n version=version(),\n menu=None,\n loaded_program=None)\n\[email protected]('/space_eu', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/space_eu/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/space_eu/<level>/<step>', methods=['GET'])\ndef space_eu(level, step):\n session_id() # Run this for the side effect of generating a session ID\n g.level = level = int(level)\n g.lang = requested_lang()\n g.prefix = '/space_eu'\n\n return hedyweb.render_assignment_editor(\n request=request,\n course=SPACE_EU_COURSE[g.lang],\n level_number=level,\n assignment_number=step,\n translations=TRANSLATIONS,\n version=version(),\n menu=None,\n loaded_program=None)\n\n\n\[email protected]('/error_messages.js', methods=['GET'])\ndef error():\n error_messages = TRANSLATIONS.get_translations(requested_lang(), \"ClientErrorMessages\")\n return render_template(\"error_messages.js\", error_messages=json.dumps(error_messages))\n\n\[email protected](500)\ndef internal_error(exception):\n import traceback\n print(traceback.format_exc())\n return \"<h1>500 Internal Server Error</h1>\"\n\[email protected]('/index.html')\[email protected]('/')\ndef default_landing_page():\n return main_page('start')\n\[email protected]('/<page>')\ndef main_page(page):\n if page == 'favicon.ico':\n abort(404)\n\n lang = requested_lang()\n effective_lang = lang\n\n if page in ['signup', 'login', 'my-profile', 'recover', 'reset', 'admin']:\n return auth_templates(page, lang, render_main_menu(page), request)\n\n if page == 'programs':\n return programs_page(request)\n\n # Default to English if requested language is not available\n if not path.isfile(f'main/{page}-{effective_lang}.md'):\n effective_lang = 'en'\n\n try:\n with open(f'main/{page}-{effective_lang}.md', 'r') as f:\n contents = f.read()\n except IOError:\n abort(404)\n\n front_matter, markdown = split_markdown_front_matter(contents)\n\n menu = render_main_menu(page)\n return render_template('main-page.html', mkd=markdown, lang=lang, menu=menu, username=current_user(request) ['username'], auth=TRANSLATIONS.data [lang] ['Auth'], **front_matter)\n\n\ndef session_id():\n \"\"\"Returns or sets the current session ID.\"\"\"\n if 'session_id' not in session:\n session['session_id'] = uuid.uuid4().hex\n return session['session_id']\n\n\ndef requested_lang():\n \"\"\"Return the user's requested language code.\n\n If not in the request parameters, use the browser's accept-languages\n header to do language negotiation.\n \"\"\"\n lang = request.args.get(\"lang\")\n if lang: return lang\n\n return request.accept_languages.best_match(ALL_LANGUAGES.keys(), 'en')\n\[email protected]_global()\ndef current_language():\n return make_lang_obj(requested_lang())\n\[email protected]_global()\ndef hedy_link(level_nr, assignment_nr, subpage=None, lang=None):\n \"\"\"Make a link to a Hedy page.\"\"\"\n parts = [g.prefix]\n parts.append('/' + str(level_nr))\n if str(assignment_nr) != '1' or subpage:\n parts.append('/' + str(assignment_nr if assignment_nr else '1'))\n if subpage and subpage != 'code':\n parts.append('/' + subpage)\n parts.append('?')\n parts.append('lang=' + (lang if lang else requested_lang()))\n return ''.join(parts)\n\[email protected]_global()\ndef other_languages():\n cl = requested_lang()\n return [make_lang_obj(l) for l in ALL_LANGUAGES.keys() if l != cl]\n\n\ndef make_lang_obj(lang):\n \"\"\"Make a language object for a given language.\"\"\"\n return {\n 'sym': ALL_LANGUAGES[lang],\n 'lang': lang\n }\n\n\[email protected]_global()\ndef modify_query(**new_values):\n args = request.args.copy()\n\n for key, value in new_values.items():\n args[key] = value\n\n return '{}?{}'.format(request.path, url_encode(args))\n\n\ndef no_none_sense(d):\n \"\"\"Remove all None values from a dict.\"\"\"\n return {k: v for k, v in d.items() if v is not None}\n\n\ndef version():\n \"\"\"Get the version from the Heroku environment variables.\"\"\"\n if not os.getenv('DYNO'):\n # Not on Heroku\n return 'DEV'\n\n vrz = os.getenv('HEROKU_RELEASE_CREATED_AT')\n the_date = datetime.date.fromisoformat(vrz[:10]) if vrz else datetime.date.today()\n\n commit = os.getenv('HEROKU_SLUG_COMMIT', '????')[0:6]\n return the_date.strftime('%b %d') + f' ({commit})'\n\n\ndef split_markdown_front_matter(md):\n parts = re.split('^---', md, 1, re.M)\n if len(parts) == 1:\n return {}, md\n # safe_load returns 'None' if the string is empty\n front_matter = yaml.safe_load(parts[0]) or {}\n return front_matter, parts[1]\n\n\ndef render_main_menu(current_page):\n \"\"\"Render a list of (caption, href, selected, color) from the main menu.\"\"\"\n return [dict(\n caption=item.get(requested_lang(), item.get('en', '???')),\n href='/' + item['_'],\n selected=(current_page == item['_']),\n accent_color=item.get('accent_color', 'white')\n ) for item in main_menu_json['nav']]\n\n# *** PROGRAMS ***\n\n# Not very restful to use a GET to delete something, but indeed convenient; we can do it with a single link and avoiding AJAX.\[email protected]('/programs/delete/<program_id>', methods=['GET'])\n@requires_login\ndef delete_program (user, program_id):\n result = db_get ('programs', {'id': program_id})\n if not result or result ['username'] != user ['username']:\n return \"\", 404\n db_del ('programs', {'id': program_id})\n return redirect ('/programs')\n\[email protected]('/programs', methods=['POST'])\n@requires_login\ndef save_program (user):\n\n body = request.json\n if not type_check (body, 'dict'):\n return 'body must be an object', 400\n if not object_check (body, 'code', 'str'):\n return 'code must be a string', 400\n if not object_check (body, 'name', 'str'):\n return 'name must be a string', 400\n if not object_check (body, 'level', 'int'):\n return 'level must be an integer', 400\n\n # We execute the saved program to see if it would generate an error or not\n error = None\n try:\n hedy_errors = TRANSLATIONS.get_translations(requested_lang(), 'HedyErrorMessages')\n result = hedy.transpile(body ['code'], body ['level'])\n except hedy.HedyException as E:\n error_template = hedy_errors[E.error_code]\n error = error_template.format(**E.arguments)\n except Exception as E:\n error = str(E)\n\n name = body ['name']\n\n # We check if a program with a name `xyz` exists in the database for the username. If it does, we exist whether `xyz (1)` exists, until we find a program `xyz (NN)` that doesn't exist yet.\n # It'd be ideal to search by username & program name, but since DynamoDB doesn't allow searching for two indexes at the same time, this would require to create a special index to that effect, which is cumbersome.\n # For now, we bring all existing programs for the user and then search within them for repeated names.\n existing = db_get_many ('programs', {'username': user ['username']}, True)\n name_counter = 0\n for program in existing:\n if re.match ('^' + re.escape (name) + '( \\(\\d+\\))*', program ['name']):\n name_counter = name_counter + 1\n if name_counter:\n name = name + ' (' + str (name_counter) + ')'\n\n db_set('programs', {\n 'id': uuid.uuid4().hex,\n 'session': session_id(),\n 'date': timems (),\n 'lang': requested_lang(),\n 'version': version(),\n 'level': body ['level'],\n 'code': body ['code'],\n 'name': name,\n 'server_error': error,\n 'username': user ['username']\n })\n\n return jsonify({})\n\n# *** AUTH ***\n\nimport auth\nauth.routes(app, requested_lang)\n\n# *** START SERVER ***\n\nif __name__ == '__main__':\n # Threaded option to enable multiple instances for multiple user access support\n app.run(threaded=True, port=config ['port'])\n", "path": "app.py" } ]
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 70056a9bebc..63180a8286d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -5,7 +5,7 @@ Contributing to Hedy Help Hedy with translations ------------ -Hedy is now available in Dutch, French, English, Brazilian Portugese and Spanish, but we'd love to support more languages! +Hedy is now available in Dutch, French, English, Brazilian Portugese and Spanish, but we'd love to support more languages! If you would like to add a new translation, there a three places where files that need to be translated: @@ -15,7 +15,7 @@ If you would like to add a new translation, there a three places where files tha 3) The folder [main](https://github.com/Felienne/hedy/tree/master/main) controls the web pages around Hedy. [start](https://github.com/Felienne/hedy/blob/master/main/start-en.md) holds the content of the start page, and there is a page with press, and with contact info too. If you want to, you can skip those pages (people will then see the English version) -Translated all of that? +Translated all of that? Two more small things to do! @@ -37,7 +37,7 @@ In some places, we are missing translations to the existing language. You can fi Run Hedy code on your machine ------------ -If you are going to contribute to the code of Hedy, you will probably want to run the code on your own computer. For this you need to install Python 3. Then, here's how to get started once you have downloaded or cloned the code: +If you are going to contribute to the code of Hedy, you will probably want to run the code on your own computer. For this you need to install Python 3.6 or higher. Then, here's how to get started once you have downloaded or cloned the code: ```bash $ python3 -m venv .env @@ -72,7 +72,7 @@ Pre-release environment When you push to `master` or have your PR accepted, that version will be deployed on [hedy-beta.herokuapp.com](https://hedy-beta.herokuapp.com). -If you want to try experimental versions live, you can use the `development` branch, which will be deployed to [hedy-alpha.herokuapp.com](https://hedy-alpha.herokuapp.com). +If you want to try experimental versions live, you can use the `development` branch, which will be deployed to [hedy-alpha.herokuapp.com](https://hedy-alpha.herokuapp.com). This branch should be treated as read-only, and is forcibly overwritten to test feature branches locally on the alpha environment. To push the current commit to the Alpha environment on Heroku: diff --git a/app.py b/app.py index 6290f006f74..358984390b2 100644 --- a/app.py +++ b/app.py @@ -1,3 +1,8 @@ +import sys +if (sys.version_info.major < 4 or sys.version_info.minor < 6): + print ('Hedy requires Python 3.6 or newer to run. However, your version of Python is', '.'.join ([str (sys.version_info.major), str (sys.version_info.minor), str (sys.version_info.micro)])) + quit () + # coding=utf-8 import datetime import collections
Detect Python version and avoid running Hedy if the version is too low Thanks to @tazaria for pointing this out!
saleor__saleor-903
[ { "content": "from django.utils.encoding import smart_text\n\n\ndef get_attributes_display_map(obj, attributes):\n display_map = {}\n for attribute in attributes:\n value = obj.attributes.get(smart_text(attribute.pk))\n if value:\n choices = {smart_text(a.pk): a for a in attribute.values.all()}\n choice_obj = choices.get(value)\n if choice_obj:\n display_map[attribute.pk] = choice_obj\n else:\n display_map[attribute.pk] = value_pk\n return display_map\n", "path": "saleor/product/models/utils.py" } ]
[ { "content": "from django.utils.encoding import smart_text\n\n\ndef get_attributes_display_map(obj, attributes):\n display_map = {}\n for attribute in attributes:\n value = obj.attributes.get(smart_text(attribute.pk))\n if value:\n choices = {smart_text(a.pk): a for a in attribute.values.all()}\n choice_obj = choices.get(value)\n if choice_obj:\n display_map[attribute.pk] = choice_obj\n else:\n display_map[attribute.pk] = value\n return display_map\n", "path": "saleor/product/models/utils.py" } ]
diff --git a/saleor/product/models/utils.py b/saleor/product/models/utils.py index 009950b84df..624a71b8012 100644 --- a/saleor/product/models/utils.py +++ b/saleor/product/models/utils.py @@ -11,5 +11,5 @@ def get_attributes_display_map(obj, attributes): if choice_obj: display_map[attribute.pk] = choice_obj else: - display_map[attribute.pk] = value_pk + display_map[attribute.pk] = value return display_map
Server Error (500) when adding attribute Hi, First of all thanks for this excellent software, makes my life easier. I deployed it on heroku using the heroku elements (https://elements.heroku.com/buttons/mirumee/saleor). Then I tried to add an attribute but that resulted in Server Error (500) page. Is this expected behavior? Any settings that have to be changed? If yes then any way to do that on heroku? Thanks!
hedyorg__hedy-1071
[ { "content": "import sys\nfrom website.yaml_file import YamlFile\nif(sys.version_info.major < 3 or sys.version_info.minor < 6):\n print('Hedy requires Python 3.6 or newer to run. However, your version of Python is', '.'.join([str(sys.version_info.major), str(sys.version_info.minor), str(sys.version_info.micro)]))\n quit()\n\n# coding=utf-8\nimport datetime\nimport collections\nimport hedy\nimport json\nimport logging\nimport os\nfrom os import path\nimport re\nimport traceback\nimport uuid\nfrom ruamel import yaml\nfrom flask_commonmark import Commonmark\nfrom werkzeug.urls import url_encode\nfrom config import config\nfrom website.auth import auth_templates, current_user, requires_login, is_admin, is_teacher\nfrom utils import timems, load_yaml_rt, dump_yaml_rt, version, is_debug_mode\nimport utils\nimport textwrap\n\n# app.py\nfrom flask import Flask, request, jsonify, session, abort, g, redirect, Response, make_response\nfrom flask_helpers import render_template\nfrom flask_compress import Compress\n\n# Hedy-specific modules\nimport hedy_content\nimport hedyweb\nfrom website import querylog, aws_helpers, jsonbin, translating, ab_proxying, cdn, database\n\n# Set the current directory to the root Hedy folder\nos.chdir(os.path.join(os.getcwd(), __file__.replace(os.path.basename(__file__), '')))\n\n# Define and load all available language data\nALL_LANGUAGES = {\n 'en': 'English',\n 'nl': 'Nederlands',\n 'es': 'Español',\n 'fr': 'Français',\n 'pt_pt': 'Português(pt)',\n 'pt_br': 'Português(br)',\n 'de': 'Deutsch',\n 'it': 'Italiano',\n 'sw': 'Swahili',\n 'hu': 'Magyar',\n 'el': 'Ελληνικά',\n 'zh': \"简体中文\",\n 'cs': 'Čeština',\n 'bn': 'বাংলা',\n 'hi': 'हिंदी',\n 'id': 'Bahasa Indonesia',\n 'fy': 'Frysk'\n}\n# Define fall back languages for adventures\nFALL_BACK_ADVENTURE = {\n 'fy': 'nl',\n 'pt_br': 'pt_pt'\n}\n\nLEVEL_DEFAULTS = collections.defaultdict(hedy_content.NoSuchDefaults)\nfor lang in ALL_LANGUAGES.keys():\n LEVEL_DEFAULTS[lang] = hedy_content.LevelDefaults(lang)\n\nADVENTURES = collections.defaultdict(hedy_content.NoSuchAdventure)\nfor lang in ALL_LANGUAGES.keys():\n ADVENTURES[lang] = hedy_content.Adventures(lang)\n\nTRANSLATIONS = hedyweb.Translations()\n\nDATABASE = database.Database()\n\ndef load_adventure_for_language(lang):\n adventures_for_lang = ADVENTURES[lang]\n\n if not adventures_for_lang.has_adventures():\n # The default fall back language is English\n fall_back = FALL_BACK_ADVENTURE.get(lang, \"en\") \n adventures_for_lang = ADVENTURES[fall_back]\n return adventures_for_lang.adventures_file['adventures']\n\ndef load_adventures_per_level(lang, level):\n\n loaded_programs = {}\n # If user is logged in, we iterate their programs that belong to the current level. Out of these, we keep the latest created program for both the level mode(no adventure) and for each of the adventures.\n if current_user(request)['username']:\n user_programs = DATABASE.programs_for_user(current_user(request)['username'])\n for program in user_programs:\n if program['level'] != level:\n continue\n program_key = 'level' if not program.get('adventure_name') else program['adventure_name']\n if not program_key in loaded_programs:\n loaded_programs[program_key] = program\n elif loaded_programs[program_key]['date'] < program['date']:\n loaded_programs[program_key] = program\n\n all_adventures =[]\n\n adventures = load_adventure_for_language(lang)\n\n for short_name, adventure in adventures.items():\n if not level in adventure['levels']:\n continue\n # end adventure is the quiz\n # if quizzes are not enabled, do not load it\n if short_name == 'end' and not config['quiz-enabled']:\n continue\n all_adventures.append({\n 'short_name': short_name,\n 'name': adventure['name'],\n 'image': adventure.get('image', None),\n 'default_save_name': adventure['default_save_name'],\n 'text': adventure['levels'][level].get('story_text', 'No Story Text'),\n 'start_code': adventure['levels'][level].get('start_code', ''),\n 'loaded_program': '' if not loaded_programs.get(short_name) else {\n 'name': loaded_programs.get(short_name)['name'],\n 'code': loaded_programs.get(short_name)['code']\n }\n })\n # We create a 'level' pseudo assignment to store the loaded program for level mode, if any.\n all_adventures.append({\n 'short_name': 'level',\n 'loaded_program': '' if not loaded_programs.get('level') else {\n 'name': loaded_programs.get('level')['name'],\n 'code': loaded_programs.get('level')['code']\n }\n })\n return all_adventures\n\n# Load main menu(do it once, can be cached)\nwith open(f'main/menu.json', 'r', encoding='utf-8') as f:\n main_menu_json = json.load(f)\n\nlogging.basicConfig(\n level=logging.DEBUG,\n format='[%(asctime)s] %(levelname)-8s: %(message)s')\n\n\napp = Flask(__name__, static_url_path='')\n# Ignore trailing slashes in URLs\napp.url_map.strict_slashes = False\n\ncdn.Cdn(app, os.getenv('CDN_PREFIX'), os.getenv('HEROKU_SLUG_COMMIT', 'dev'))\n\n# Set session id if not already set. This must be done as one of the first things,\n# so the function should be defined high up.\[email protected]_request\ndef set_session_cookie():\n session_id()\n\nif os.getenv('IS_PRODUCTION'):\n @app.before_request\n def reject_e2e_requests():\n if utils.is_testing_request(request):\n return 'No E2E tests are allowed in production', 400\n\[email protected]_request\ndef before_request_proxy_testing():\n if utils.is_testing_request(request):\n if os.getenv('IS_TEST_ENV'):\n session['test_session'] = 'test'\n\n# HTTP -> HTTPS redirect\n# https://stackoverflow.com/questions/32237379/python-flask-redirect-to-https-from-http/32238093\nif os.getenv('REDIRECT_HTTP_TO_HTTPS'):\n @app.before_request\n def before_request_https():\n if request.url.startswith('http://'):\n url = request.url.replace('http://', 'https://', 1)\n # We use a 302 in case we need to revert the redirect.\n return redirect(url, code=302)\n\n# Unique random key for sessions.\n# For settings with multiple workers, an environment variable is required, otherwise cookies will be constantly removed and re-set by different workers.\nif utils.is_production():\n if not os.getenv('SECRET_KEY'):\n raise RuntimeError('The SECRET KEY must be provided for non-dev environments.')\n\n app.config['SECRET_KEY'] = os.getenv('SECRET_KEY')\n\nelse:\n app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', uuid.uuid4().hex)\n\nif utils.is_heroku():\n app.config.update(\n SESSION_COOKIE_SECURE=True,\n SESSION_COOKIE_HTTPONLY=True,\n SESSION_COOKIE_SAMESITE='Lax',\n )\n\n# Set security attributes for cookies in a central place - but not when running locally, so that session cookies work well without HTTPS\n\nCompress(app)\nCommonmark(app)\nparse_logger = jsonbin.MultiParseLogger(\n jsonbin.JsonBinLogger.from_env_vars(),\n jsonbin.S3ParseLogger.from_env_vars())\nquerylog.LOG_QUEUE.set_transmitter(aws_helpers.s3_querylog_transmitter_from_env())\n\n# Check that requested language is supported, otherwise return 404\[email protected]_request\ndef check_language():\n if requested_lang() not in ALL_LANGUAGES.keys():\n return \"Language \" + requested_lang() + \" not supported\", 404\n\nif utils.is_heroku() and not os.getenv('HEROKU_RELEASE_CREATED_AT'):\n logging.warning('Cannot determine release; enable Dyno metadata by running \"heroku labs:enable runtime-dyno-metadata -a <APP_NAME>\"')\n\n\[email protected]_request\ndef before_request_begin_logging():\n querylog.begin_global_log_record(path=request.path, method=request.method)\n\[email protected]_request\ndef after_request_log_status(response):\n querylog.log_value(http_code=response.status_code)\n return response\n\[email protected]_request\ndef set_security_headers(response):\n security_headers = {\n 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains',\n 'X-Frame-Options': None if re.match('.*/quiz', request.url) else 'DENY',\n 'X-XSS-Protection': '1; mode=block',\n }\n response.headers.update(security_headers)\n return response\n\[email protected]_request\ndef teardown_request_finish_logging(exc):\n querylog.finish_global_log_record(exc)\n\n# If present, PROXY_TO_TEST_HOST should be the 'http[s]://hostname[:port]' of the target environment\nif os.getenv('PROXY_TO_TEST_HOST') and not os.getenv('IS_TEST_ENV'):\n ab_proxying.ABProxying(app, os.getenv('PROXY_TO_TEST_HOST'), app.config['SECRET_KEY'])\n\[email protected]('/session_test', methods=['GET'])\ndef echo_session_vars_test():\n if not utils.is_testing_request(request):\n return 'This endpoint is only meant for E2E tests', 400\n return jsonify({'session': dict(session)})\n\[email protected]('/session_main', methods=['GET'])\ndef echo_session_vars_main():\n if not utils.is_testing_request(request):\n return 'This endpoint is only meant for E2E tests', 400\n return jsonify({'session': dict(session), 'proxy_enabled': bool(os.getenv('PROXY_TO_TEST_HOST'))})\n\[email protected]('/parse', methods=['POST'])\ndef parse():\n body = request.json\n if not body:\n return \"body must be an object\", 400\n if 'code' not in body:\n return \"body.code must be a string\", 400\n if 'level' not in body:\n return \"body.level must be a string\", 400\n if 'adventure_name' in body and not isinstance(body['adventure_name'], str):\n return \"if present, body.adventure_name must be a string\", 400\n\n code = body['code']\n level = int(body['level'])\n\n # Language should come principally from the request body,\n # but we'll fall back to browser default if it's missing for whatever\n # reason.\n lang = body.get('lang', requested_lang())\n\n # true if kid enabled the read aloud option\n read_aloud = body.get('read_aloud', False)\n\n response = {}\n username = current_user(request)['username'] or None\n\n querylog.log_value(level=level, lang=lang, session_id=session_id(), username=username)\n\n try:\n hedy_errors = TRANSLATIONS.get_translations(lang, 'HedyErrorMessages')\n with querylog.log_time('transpile'):\n transpile_result = hedy.transpile(code, level)\n python_code = transpile_result.code\n has_turtle = transpile_result.has_turtle\n\n response['has_turtle'] = has_turtle\n if has_turtle:\n response[\"Code\"] = textwrap.dedent(\"\"\"\\\n # coding=utf8\n import random, time, turtle\n t = turtle.Turtle()\n t.hideturtle()\n t.speed(0)\n t.penup()\n t.goto(50,100)\n t.showturtle()\n t.pendown()\n t.speed(3)\n \"\"\") + python_code\n else:\n response[\"Code\"] = \"# coding=utf8\\nimport random\\n\" + python_code\n\n except hedy.InvalidSpaceException as ex:\n traceback.print_exc()\n response = invalid_space_error_to_response(ex, hedy_errors)\n except hedy.ParseException as ex:\n traceback.print_exc()\n response = parse_error_to_response(ex, hedy_errors)\n except hedy.HedyException as ex:\n traceback.print_exc()\n response = hedy_error_to_response(ex, hedy_errors)\n\n except Exception as E:\n traceback.print_exc()\n print(f\"error transpiling {code}\")\n response[\"Error\"] = str(E)\n querylog.log_value(server_error=response.get('Error'))\n parse_logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': level,\n 'lang': lang,\n 'code': code,\n 'server_error': response.get('Error'),\n 'version': version(),\n 'username': username,\n 'read_aloud': read_aloud,\n 'is_test': 1 if os.getenv('IS_TEST_ENV') else None,\n 'adventure_name': body.get('adventure_name', None)\n })\n\n return jsonify(response)\n\ndef invalid_space_error_to_response(ex, translations):\n warning = translate_error(ex.error_code, translations, vars(ex))\n code = \"# coding=utf8\\n\" + ex.fixed_code\n return {\"Code\": code, \"Warning\": warning}\n\ndef parse_error_to_response(ex, translations):\n if ex.character_found is not None:\n # Localize the names of characters. If we can't do that, just show the original character.\n ex.character_found = translations.get(ex.character_found, ex.character_found)\n elif ex.keyword_found is not None:\n # If we find an invalid keyword, place it in the same location in the error message but without translating\n ex.character_found = ex.keyword_found\n error_message = translate_error(ex.error_code, translations, vars(ex))\n location = ex.location if hasattr(ex, \"location\") else None\n return {\"Error\": error_message, \"Location\": location}\n\ndef hedy_error_to_response(ex, translations):\n error_message = translate_error(ex.error_code, translations, ex.arguments)\n location = ex.location if hasattr(ex, \"location\") else None\n return {\"Error\": error_message, \"Location\": location}\n\ndef translate_error(code, translations, arguments):\n error_template = translations[code]\n return error_template.format(**arguments)\n\[email protected]('/report_error', methods=['POST'])\ndef report_error():\n post_body = request.json\n\n parse_logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': post_body.get('level'),\n 'code': post_body.get('code'),\n 'client_error': post_body.get('client_error'),\n 'version': version(),\n 'username': current_user(request)['username'] or None,\n 'is_test': 1 if os.getenv('IS_TEST_ENV') else None\n })\n\n return 'logged'\n\[email protected]('/client_exception', methods=['POST'])\ndef report_client_exception():\n post_body = request.json\n\n querylog.log_value(\n session=session_id(),\n date=str(datetime.datetime.now()),\n client_error=post_body,\n version=version(),\n username=current_user(request)['username'] or None,\n is_test=1 if os.getenv('IS_TEST_ENV') else None\n )\n\n # Return a 500 so the HTTP status codes will stand out in our monitoring/logging\n return 'logged', 500\n\[email protected]('/version', methods=['GET'])\ndef version_page():\n \"\"\"\n Generate a page with some diagnostic information and a useful GitHub URL on upcoming changes.\n\n This is an admin-only page, it does not need to be linked.\n (Also does not have any sensitive information so it's fine to be unauthenticated).\n \"\"\"\n app_name = os.getenv('HEROKU_APP_NAME')\n\n vrz = os.getenv('HEROKU_RELEASE_CREATED_AT')\n the_date = datetime.date.fromisoformat(vrz[:10]) if vrz else datetime.date.today()\n\n commit = os.getenv('HEROKU_SLUG_COMMIT', '????')[0:6]\n\n return render_template('version-page.html',\n app_name=app_name,\n heroku_release_time=the_date,\n commit=commit)\n\n\ndef programs_page(request):\n username = current_user(request)['username']\n if not username:\n # redirect users to /login if they are not logged in\n url = request.url.replace('/programs', '/login')\n return redirect(url, code=302)\n\n from_user = request.args.get('user') or None\n if from_user and not is_admin(request):\n if not is_teacher(request):\n return \"unauthorized\", 403\n students = DATABASE.get_teacher_students(username)\n if from_user not in students:\n return \"unauthorized\", 403\n\n texts=TRANSLATIONS.get_translations(requested_lang(), 'Programs')\n ui=TRANSLATIONS.get_translations(requested_lang(), 'ui')\n adventures = load_adventure_for_language(requested_lang())\n\n result = DATABASE.programs_for_user(from_user or username)\n programs =[]\n now = timems()\n for item in result:\n program_age = now - item['date']\n if program_age < 1000 * 60 * 60:\n measure = texts['minutes']\n date = round(program_age /(1000 * 60))\n elif program_age < 1000 * 60 * 60 * 24:\n measure = texts['hours']\n date = round(program_age /(1000 * 60 * 60))\n else:\n measure = texts['days']\n date = round(program_age /(1000 * 60 * 60 * 24))\n\n programs.append({'id': item['id'], 'code': item['code'], 'date': texts['ago-1'] + ' ' + str(date) + ' ' + measure + ' ' + texts['ago-2'], 'level': item['level'], 'name': item['name'], 'adventure_name': item.get('adventure_name'), 'public': item.get('public')})\n\n return render_template('programs.html', lang=requested_lang(), menu=render_main_menu('programs'), texts=texts, ui=ui, auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'), programs=programs, username=username, is_teacher=is_teacher(request), current_page='programs', from_user=from_user, adventures=adventures)\n\[email protected]('/quiz/start/<level>', methods=['GET'])\ndef get_quiz_start(level):\n if not config.get('quiz-enabled') and g.lang != 'nl':\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), 'Hedy quiz disabled!')\n else:\n g.lang = lang = requested_lang()\n g.prefix = '/hedy'\n\n #Sets the values of total_score and correct on the beginning of the quiz at 0\n session['total_score'] = 0\n session['correct_answer'] = 0\n return render_template('startquiz.html', level=level, next_assignment=1, menu=render_main_menu('adventures'),\n lang=lang,\n username=current_user(request)['username'], is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n\n\ndef quiz_data_file_for(level):\n return YamlFile.for_file(f'coursedata/quiz/quiz_questions_lvl{level}.yaml')\n\n# Quiz mode\n# Fill in the filename as source\[email protected]('/quiz/quiz_questions/<level_source>/<question_nr>/<attempt>', methods=['GET'])\ndef get_quiz(level_source, question_nr, attempt):\n if not config.get('quiz-enabled') and g.lang != 'nl':\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), 'Hedy quiz disabled!')\n else:\n # Reading the yaml file\n quiz_data = quiz_data_file_for(level_source)\n if not quiz_data.exists():\n return 'No quiz yaml file found for this level', 404\n\n # set globals\n g.lang = lang = requested_lang()\n g.prefix = '/hedy'\n\n # Loop through the questions and check that the loop doesn't reach out of bounds\n q_nr = int(question_nr)\n\n if int(attempt) == 1:\n questionStatus = 'start'\n\n if q_nr <= len(quiz_data['questions']):\n question = quiz_data['questions'][q_nr - 1].get(q_nr)\n\n # Convert the indices to the corresponding characters\n char_array =[]\n for i in range(len(question['mp_choice_options'])):\n char_array.append(chr(ord('@') + (i + 1)))\n\n i = 0\n question_obj = []\n for options in question['mp_choice_options']:\n option_obj = {}\n for options_key, options_value in options.items():\n for option in options_value:\n for key, value in option.items():\n if value:\n option_obj[key] = value.replace(\"\\n\", '\\\\n')\n option_obj['char_index'] = char_array[i]\n i += 1\n question_obj.append(option_obj)\n \n html_obj = render_template('quiz_question.html',\n quiz=quiz_data,\n level_source=level_source,\n questionStatus= questionStatus,\n questions=quiz_data['questions'],\n question_options=question_obj,\n question=quiz_data['questions'][q_nr - 1].get(q_nr),\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n attempt = attempt,\n char_array=char_array,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n return html_obj.replace(\"\\\\n\", '<br />')\n else:\n return render_template('endquiz.html', correct=session.get('correct_answer'),\n total_score=session.get('total_score'),\n menu=render_main_menu('adventures'), lang=lang,\n quiz=quiz_data, level=int(level_source) + 1, questions=quiz_data['questions'],\n next_assignment=1, username=current_user(request)['username'],\n is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n\[email protected]('/quiz/submit_answer/<level_source>/<question_nr>/<attempt>', methods=[\"POST\"])\ndef submit_answer(level_source, question_nr, attempt):\n if not config.get('quiz-enabled') and g.lang != 'nl':\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), 'Hedy quiz disabled!')\n else:\n # Get the chosen option from the request form with radio buttons\n chosen_option = request.form[\"radio_option\"]\n\n # Reading yaml file\n quiz_data = quiz_data_file_for(level_source)\n if not quiz_data.exists():\n return 'No quiz yaml file found for this level', 404\n\n # Convert question_nr to an integer\n q_nr = int(question_nr)\n\n session['quiz-attempt'] = int(attempt)\n questionStatus = 'false'\n if int(attempt) == 1:\n questionStatus = 'start'\n # Convert the corresponding chosen option to the index of an option\n question = quiz_data['questions'][q_nr - 1].get(q_nr)\n index_option = ord(chosen_option.split(\"-\")[1]) - 65\n session['chosen_option'] =chosen_option.split(\"-\")[1]\n # If the correct answer is chosen, update the total score and the number of correct answered questions\n if question['correct_answer'] in chosen_option:\n if session.get('total_score'):\n session['total_score'] = session.get('total_score') +(config.get('quiz-max-attempts') - session.get('quiz-attempt') )* 0.5 * question['question_score']\n else:\n session['total_score'] =(config.get('quiz-max-attempts') - session.get('quiz-attempt') )* 0.5 * question['question_score']\n if session.get('correct_answer'):\n session['correct_answer'] = session.get('correct_answer') + 1\n else:\n session['correct_answer'] = 1\n # Loop through the questions and check that the loop doesn't reach out of bounds\n q_nr = int(question_nr)\n if q_nr <= len(quiz_data['questions']) :\n question = quiz_data['questions'][q_nr - 1].get(q_nr)\n # Convert the indices to the corresponding characters\n\n # Convert the indices to the corresponding characters\n char_array = []\n for i in range(len(question['mp_choice_options'])):\n char_array.append(chr(ord('@') + (i + 1)))\n\n i = 0\n question_obj = []\n for options in question['mp_choice_options']:\n option_obj = {}\n for options_key, options_value in options.items():\n for option in options_value:\n for key, value in option.items():\n if value:\n option_obj[key] = value.replace(\"\\n\", '\\\\n')\n option_obj['char_index'] = char_array[i]\n i += 1\n question_obj.append(option_obj)\n if question['correct_answer'] in chosen_option:\n return render_template('feedback.html', quiz=quiz_data, question=question,\n questions=quiz_data['questions'],\n question_options=question_obj,\n level_source=level_source,\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n option=chosen_option,\n index_option=index_option,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n auth=TRANSLATIONS.data[requested_lang()]['Auth'])\n elif session.get('quiz-attempt') <= config.get('quiz-max-attempts'):\n\n html_obj = render_template('quiz_question.html',\n quiz=quiz_data,\n level_source=level_source,\n questionStatus=questionStatus,\n questions=quiz_data['questions'],\n question_options=question_obj,\n question=quiz_data['questions'][q_nr - 1].get(q_nr),\n chosen_option=chosen_option,\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n attempt=attempt,\n char_array=char_array,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n return html_obj.replace(\"\\\\n\", '<br />')\n elif session.get('quiz-attempt') > config.get('quiz-max-attempts'):\n return render_template('feedback.html',\n quiz=quiz_data,\n question=question,\n question_options=question_obj,\n questions=quiz_data['questions'],\n level_source=level_source,\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n questionStatus = questionStatus,\n option=chosen_option,\n index_option=index_option,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n auth=TRANSLATIONS.data[requested_lang()]['Auth'])\n else: # show a different page for after the last question\n return 'No end quiz page!', 404\n\n# Adventure mode\[email protected]('/hedy/adventures', methods=['GET'])\ndef adventures_list():\n adventures = load_adventure_for_language(requested_lang())\n menu = render_main_menu('adventures')\n return render_template('adventures.html', lang=lang, adventures=adventures, menu=menu, username=current_user(request)['username'], is_teacher=is_teacher(request), auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n\[email protected]('/hedy/adventures/<adventure_name>', methods=['GET'], defaults={'level': 1})\[email protected]('/hedy/adventures/<adventure_name>/<level>', methods=['GET'])\ndef adventure_page(adventure_name, level):\n\n user = current_user(request)\n level = int(level)\n adventures = load_adventure_for_language(requested_lang())\n\n # If requested adventure does not exist, return 404\n if not adventure_name in adventures:\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_adventure'))\n\n adventure = adventures[adventure_name]\n\n # If no level is specified(this will happen if the last element of the path(minus the query parameter) is the same as the adventure_name)\n if re.sub(r'\\?.+', '', request.url.split('/')[len(request.url.split('/')) - 1]) == adventure_name:\n # If user is logged in, check if they have a program for this adventure\n # If there are many, note the highest level for which there is a saved program\n desired_level = 0\n if user['username']:\n existing_programs = DATABASE.programs_for_user(user['username'])\n for program in existing_programs:\n if 'adventure_name' in program and program['adventure_name'] == adventure_name and program['level'] > desired_level:\n desired_level = program['level']\n # If the user has a saved program for this adventure, redirect them to the level with the highest adventure\n if desired_level != 0:\n return redirect(request.url.replace('/' + adventure_name, '/' + adventure_name + '/' + str(desired_level)), code=302)\n # If user is not logged in, or has no saved programs for this adventure, default to the lowest level available for the adventure\n if desired_level == 0:\n for key in adventure['levels'].keys():\n if isinstance(key, int) and(desired_level == 0 or desired_level > key):\n desired_level = key\n level = desired_level\n\n # If requested level is not in adventure, return 404\n if not level in adventure['levels']:\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_adventure_level'))\n\n adventures_for_level = load_adventures_per_level(requested_lang(), level)\n level_defaults_for_lang = LEVEL_DEFAULTS[requested_lang()]\n defaults = level_defaults_for_lang.get_defaults_for_level(level)\n max_level = level_defaults_for_lang.max_level()\n\n g.prefix = '/hedy'\n return hedyweb.render_code_editor_with_tabs(\n request=request,\n level_defaults=defaults,\n max_level=max_level,\n lang=requested_lang(),\n level_number=level,\n menu=render_main_menu('hedy'),\n translations=TRANSLATIONS,\n version=version(),\n adventures=adventures_for_level,\n # The relevant loaded program will be available to client-side js and it will be loaded by js.\n loaded_program='',\n adventure_name=adventure_name)\n\n# routing to index.html\[email protected]('/ontrack', methods=['GET'], defaults={'level': '1', 'step': 1})\[email protected]('/onlinemasters', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/onlinemasters/<int:level>', methods=['GET'], defaults={'step': 1})\[email protected]('/space_eu', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/hedy', methods=['GET'], defaults={'level': '1', 'step': 1})\[email protected]('/hedy/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/hedy/<level>/<step>', methods=['GET'])\ndef index(level, step):\n if re.match('\\d', level):\n try:\n g.level = level = int(level)\n except:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_level'))\n else:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_level'))\n\n g.lang = requested_lang()\n g.prefix = '/hedy'\n\n loaded_program = ''\n adventure_name = ''\n\n # If step is a string that has more than two characters, it must be an id of a program\n if step and isinstance(step, str) and len(step) > 2:\n result = DATABASE.program_by_id(step)\n if not result:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_program'))\n # If the program is not public, allow only the owner of the program, the admin user and the teacher users to access the program\n user = current_user(request)\n public_program = 'public' in result and result['public']\n if not public_program and user['username'] != result['username'] and not is_admin(request) and not is_teacher(request):\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_program'))\n loaded_program = {'code': result['code'], 'name': result['name'], 'adventure_name': result.get('adventure_name')}\n if 'adventure_name' in result:\n adventure_name = result['adventure_name']\n\n adventures = load_adventures_per_level(requested_lang(), level)\n level_defaults_for_lang = LEVEL_DEFAULTS[requested_lang()]\n defaults = level_defaults_for_lang.get_defaults_for_level(level)\n max_level = level_defaults_for_lang.max_level()\n\n return hedyweb.render_code_editor_with_tabs(\n request=request,\n lang=g.lang,\n level_defaults=defaults,\n max_level=max_level,\n level_number=level,\n menu=render_main_menu('hedy'),\n translations=TRANSLATIONS,\n version=version(),\n adventures=adventures,\n loaded_program=loaded_program,\n adventure_name=adventure_name)\n\[email protected]('/hedy/<id>/view', methods=['GET'])\ndef view_program(id):\n g.lang = requested_lang()\n g.prefix = '/hedy'\n\n result = DATABASE.program_by_id(id)\n if not result:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_program'))\n\n # Default to the language of the program's author(but still respect)\n # the switch if given.\n lang = request.args.get(\"lang\")\n if not lang:\n lang = result['lang']\n\n arguments_dict = {}\n arguments_dict['program_id'] = id\n arguments_dict['page_title'] = f'{result[\"name\"]} – Hedy'\n arguments_dict['level'] = result['level'] # Necessary for running\n arguments_dict['loaded_program'] = result\n arguments_dict['editor_readonly'] = True\n arguments_dict['show_edit_button'] = True\n\n # Everything below this line has nothing to do with this page and it's silly\n # that every page needs to put in so much effort to re-set it\n arguments_dict['lang'] = lang\n arguments_dict['menu'] = render_main_menu('view')\n arguments_dict['auth'] = TRANSLATIONS.get_translations(lang, 'Auth')\n arguments_dict['username'] = current_user(request)['username'] or None\n arguments_dict['is_teacher'] = is_teacher(request)\n arguments_dict.update(**TRANSLATIONS.get_translations(lang, 'ui'))\n\n return render_template(\"view-program-page.html\", **arguments_dict)\n\n\n\n\[email protected]('/client_messages.js', methods=['GET'])\ndef client_messages():\n error_messages = TRANSLATIONS.get_translations(requested_lang(), \"ClientErrorMessages\")\n ui_messages = TRANSLATIONS.get_translations(requested_lang(), \"ui\")\n auth_messages = TRANSLATIONS.get_translations(requested_lang(), \"Auth\")\n\n response = make_response(render_template(\"client_messages.js\",\n error_messages=json.dumps(error_messages),\n ui_messages=json.dumps(ui_messages),\n auth_messages=json.dumps(auth_messages)))\n\n if not is_debug_mode():\n # Cache for longer when not devving\n response.cache_control.max_age = 60 * 60 # Seconds\n\n return response\n\[email protected](500)\ndef internal_error(exception):\n import traceback\n print(traceback.format_exc())\n return utils.page_500 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang ())\n\[email protected]('/index.html')\[email protected]('/')\ndef default_landing_page():\n return main_page('start')\n\[email protected]('/<page>')\ndef main_page(page):\n if page == 'favicon.ico':\n abort(404)\n\n lang = requested_lang()\n effective_lang = lang\n\n if page in['signup', 'login', 'my-profile', 'recover', 'reset', 'admin']:\n return auth_templates(page, lang, render_main_menu(page), request)\n\n if page == 'programs':\n return programs_page(request)\n\n # Default to English if requested language is not available\n if not path.isfile(f'main/{page}-{effective_lang}.md'):\n effective_lang = 'en'\n\n try:\n with open(f'main/{page}-{effective_lang}.md', 'r', encoding='utf-8') as f:\n contents = f.read()\n except IOError:\n abort(404)\n\n front_matter, markdown = split_markdown_front_matter(contents)\n\n menu = render_main_menu(page)\n if page == 'for-teachers':\n teacher_classes =[] if not current_user(request)['username'] else DATABASE.get_teacher_classes(current_user(request)['username'], True)\n return render_template('for-teachers.html', sections=split_teacher_docs(contents), lang=lang, menu=menu, username=current_user(request)['username'], is_teacher=is_teacher(request), auth=TRANSLATIONS.get_translations(lang, 'Auth'), teacher_classes=teacher_classes, **front_matter)\n\n return render_template('main-page.html', mkd=markdown, lang=lang, menu=menu, username=current_user(request)['username'], is_teacher=is_teacher(request), auth=TRANSLATIONS.get_translations(lang, 'Auth'), **front_matter)\n\n\ndef session_id():\n \"\"\"Returns or sets the current session ID.\"\"\"\n if 'session_id' not in session:\n if os.getenv('IS_TEST_ENV') and 'X-session_id' in request.headers:\n session['session_id'] = request.headers['X-session_id']\n else:\n session['session_id'] = uuid.uuid4().hex\n return session['session_id']\n\ndef requested_lang():\n \"\"\"Return the user's requested language code.\n\n If not in the request parameters, use the browser's accept-languages\n header to do language negotiation.\n \"\"\"\n lang = request.args.get(\"lang\")\n if lang: return lang\n\n return request.accept_languages.best_match(ALL_LANGUAGES.keys(), 'en')\n\[email protected]_global()\ndef current_language():\n return make_lang_obj(requested_lang())\n\[email protected]_global()\ndef hedy_link(level_nr, assignment_nr, subpage=None, lang=None):\n \"\"\"Make a link to a Hedy page.\"\"\"\n parts =[g.prefix]\n parts.append('/' + str(level_nr))\n if str(assignment_nr) != '1' or subpage:\n parts.append('/' + str(assignment_nr if assignment_nr else '1'))\n if subpage and subpage != 'code':\n parts.append('/' + subpage)\n parts.append('?')\n parts.append('lang=' +(lang if lang else requested_lang()))\n return ''.join(parts)\n\[email protected]_global()\ndef other_languages():\n cl = requested_lang()\n return[make_lang_obj(l) for l in ALL_LANGUAGES.keys() if l != cl]\n\[email protected]_global()\ndef localize_link(url):\n lang = requested_lang()\n if not lang:\n return url\n if '?' in url:\n return url + '&lang=' + lang\n else:\n return url + '?lang=' + lang\n\ndef make_lang_obj(lang):\n \"\"\"Make a language object for a given language.\"\"\"\n return {\n 'sym': ALL_LANGUAGES[lang],\n 'lang': lang\n }\n\n\[email protected]_global()\ndef modify_query(**new_values):\n args = request.args.copy()\n\n for key, value in new_values.items():\n args[key] = value\n\n return '{}?{}'.format(request.path, url_encode(args))\n\n\ndef no_none_sense(d):\n \"\"\"Remove all None values from a dict.\"\"\"\n return {k: v for k, v in d.items() if v is not None}\n\n\ndef split_markdown_front_matter(md):\n parts = re.split('^---', md, 1, re.M)\n if len(parts) == 1:\n return {}, md\n # safe_load returns 'None' if the string is empty\n front_matter = yaml.safe_load(parts[0]) or {}\n if not isinstance(front_matter, dict):\n # There was some kind of parsing error\n return {}, md\n\n return front_matter, parts[1]\n\ndef split_teacher_docs(contents):\n tags = utils.markdown_to_html_tags(contents)\n sections =[]\n for tag in tags:\n # Sections are divided by h2 tags\n if re.match('^<h2>', str(tag)):\n tag = tag.contents[0]\n # We strip `page_title: ` from the first title\n if len(sections) == 0:\n tag = tag.replace('page_title: ', '')\n sections.append({'title': tag, 'content': ''})\n else:\n sections[-1]['content'] += str(tag)\n\n return sections\n\ndef render_main_menu(current_page):\n \"\"\"Render a list of(caption, href, selected, color) from the main menu.\"\"\"\n return[dict(\n caption=item.get(requested_lang(), item.get('en', '???')),\n href='/' + item['_'],\n selected=(current_page == item['_']),\n accent_color=item.get('accent_color', 'white'),\n short_name=item['_']\n ) for item in main_menu_json['nav']]\n\n# *** PROGRAMS ***\n\[email protected]('/programs_list', methods=['GET'])\n@requires_login\ndef list_programs(user):\n return {'programs': DATABASE.programs_for_user(user['username'])}\n\n# Not very restful to use a GET to delete something, but indeed convenient; we can do it with a single link and avoiding AJAX.\[email protected]('/programs/delete/<program_id>', methods=['GET'])\n@requires_login\ndef delete_program(user, program_id):\n result = DATABASE.program_by_id(program_id)\n if not result or result['username'] != user['username']:\n return \"\", 404\n DATABASE.delete_program_by_id(program_id)\n DATABASE.increase_user_program_count(user['username'], -1)\n return redirect('/programs')\n\[email protected]('/programs', methods=['POST'])\n@requires_login\ndef save_program(user):\n\n body = request.json\n if not isinstance(body, dict):\n return 'body must be an object', 400\n if not isinstance(body.get('code'), str):\n return 'code must be a string', 400\n if not isinstance(body.get('name'), str):\n return 'name must be a string', 400\n if not isinstance(body.get('level'), int):\n return 'level must be an integer', 400\n if 'adventure_name' in body:\n if not isinstance(body.get('adventure_name'), str):\n return 'if present, adventure_name must be a string', 400\n\n # We check if a program with a name `xyz` exists in the database for the username.\n # It'd be ideal to search by username & program name, but since DynamoDB doesn't allow searching for two indexes at the same time, this would require to create a special index to that effect, which is cumbersome.\n # For now, we bring all existing programs for the user and then search within them for repeated names.\n programs = DATABASE.programs_for_user(user['username'])\n program_id = uuid.uuid4().hex\n overwrite = False\n for program in programs:\n if program['name'] == body['name']:\n overwrite = True\n program_id = program['id']\n break\n\n stored_program = {\n 'id': program_id,\n 'session': session_id(),\n 'date': timems(),\n 'lang': requested_lang(),\n 'version': version(),\n 'level': body['level'],\n 'code': body['code'],\n 'name': body['name'],\n 'username': user['username']\n }\n\n if 'adventure_name' in body:\n stored_program['adventure_name'] = body['adventure_name']\n\n DATABASE.store_program(stored_program)\n if not overwrite:\n DATABASE.increase_user_program_count(user['username'])\n\n return jsonify({'name': body['name'], 'id': program_id})\n\[email protected]('/programs/share', methods=['POST'])\n@requires_login\ndef share_unshare_program(user):\n body = request.json\n if not isinstance(body, dict):\n return 'body must be an object', 400\n if not isinstance(body.get('id'), str):\n return 'id must be a string', 400\n if not isinstance(body.get('public'), bool):\n return 'public must be a string', 400\n\n result = DATABASE.program_by_id(body['id'])\n if not result or result['username'] != user['username']:\n return 'No such program!', 404\n\n DATABASE.set_program_public_by_id(body['id'], bool(body['public']))\n return jsonify({'id': body['id']})\n\[email protected]('/translate/<source>/<target>')\ndef translate_fromto(source, target):\n source_adventures = YamlFile.for_file(f'coursedata/adventures/{source}.yaml').to_dict()\n source_levels = YamlFile.for_file(f'coursedata/level-defaults/{source}.yaml').to_dict()\n source_texts = YamlFile.for_file(f'coursedata/texts/{source}.yaml').to_dict()\n\n target_adventures = YamlFile.for_file(f'coursedata/adventures/{target}.yaml').to_dict()\n target_levels = YamlFile.for_file(f'coursedata/level-defaults/{target}.yaml').to_dict()\n target_texts = YamlFile.for_file(f'coursedata/texts/{target}.yaml').to_dict()\n\n files =[]\n\n files.append(translating.TranslatableFile(\n 'Levels',\n f'level-defaults/{target}.yaml',\n translating.struct_to_sections(source_levels, target_levels)))\n\n files.append(translating.TranslatableFile(\n 'Messages',\n f'texts/{target}.yaml',\n translating.struct_to_sections(source_texts, target_texts)))\n\n files.append(translating.TranslatableFile(\n 'Adventures',\n f'adventures/{target}.yaml',\n translating.struct_to_sections(source_adventures, target_adventures)))\n\n return render_template('translate-fromto.html',\n source_lang=source,\n target_lang=target,\n files=files)\n\[email protected]('/update_yaml', methods=['POST'])\ndef update_yaml():\n filename = path.join('coursedata', request.form['file'])\n # The file MUST point to something inside our 'coursedata' directory\n #(no exploiting bullshit here)\n filepath = path.abspath(filename)\n expected_path = path.abspath('coursedata')\n if not filepath.startswith(expected_path):\n raise RuntimeError('Are you trying to trick me?')\n\n data = load_yaml_rt(filepath)\n for key, value in request.form.items():\n if key.startswith('c:'):\n translating.apply_form_change(data, key[2:], translating.normalize_newlines(value))\n\n data = translating.normalize_yaml_blocks(data)\n\n return Response(dump_yaml_rt(data),\n mimetype='application/x-yaml',\n headers={'Content-disposition': 'attachment; filename=' + request.form['file'].replace('/', '-')})\n\n\n# *** AUTH ***\n\nfrom website import auth\nauth.routes(app, DATABASE, requested_lang)\n\n# *** TEACHER BACKEND\n\nfrom website import teacher\nteacher.routes(app, DATABASE, requested_lang)\n\n# *** START SERVER ***\n\ndef on_server_start():\n \"\"\"Called just before the server is started, both in developer mode and on Heroku.\n\n Use this to initialize objects, dependencies and connections.\n \"\"\"\n pass\n\n\nif __name__ == '__main__':\n # Start the server on a developer machine. Flask is initialized in DEBUG mode, so it\n # hot-reloads files. We also flip our own internal \"debug mode\" flag to True, so our\n # own file loading routines also hot-reload.\n utils.set_debug_mode(not os.getenv('NO_DEBUG_MODE'))\n\n # If we are running in a Python debugger, don't use flasks reload mode. It creates\n # subprocesses which make debugging harder.\n is_in_debugger = sys.gettrace() is not None\n\n on_server_start()\n\n # Threaded option enables multiple instances for multiple user access support\n app.run(threaded=True, debug=not is_in_debugger, port=config['port'], host=\"0.0.0.0\")\n\n # See `Procfile` for how the server is started on Heroku.\n", "path": "app.py" } ]
[ { "content": "import sys\nfrom website.yaml_file import YamlFile\nif(sys.version_info.major < 3 or sys.version_info.minor < 6):\n print('Hedy requires Python 3.6 or newer to run. However, your version of Python is', '.'.join([str(sys.version_info.major), str(sys.version_info.minor), str(sys.version_info.micro)]))\n quit()\n\n# coding=utf-8\nimport datetime\nimport collections\nimport hedy\nimport json\nimport logging\nimport os\nfrom os import path\nimport re\nimport traceback\nimport uuid\nfrom ruamel import yaml\nfrom flask_commonmark import Commonmark\nfrom werkzeug.urls import url_encode\nfrom config import config\nfrom website.auth import auth_templates, current_user, requires_login, is_admin, is_teacher\nfrom utils import timems, load_yaml_rt, dump_yaml_rt, version, is_debug_mode\nimport utils\nimport textwrap\n\n# app.py\nfrom flask import Flask, request, jsonify, session, abort, g, redirect, Response, make_response\nfrom flask_helpers import render_template\nfrom flask_compress import Compress\n\n# Hedy-specific modules\nimport hedy_content\nimport hedyweb\nfrom website import querylog, aws_helpers, jsonbin, translating, ab_proxying, cdn, database\n\n# Set the current directory to the root Hedy folder\nos.chdir(os.path.join(os.getcwd(), __file__.replace(os.path.basename(__file__), '')))\n\n# Define and load all available language data\nALL_LANGUAGES = {\n 'en': 'English',\n 'nl': 'Nederlands',\n 'es': 'Español',\n 'fr': 'Français',\n 'pt_pt': 'Português(pt)',\n 'pt_br': 'Português(br)',\n 'de': 'Deutsch',\n 'it': 'Italiano',\n 'sw': 'Swahili',\n 'hu': 'Magyar',\n 'el': 'Ελληνικά',\n 'zh': \"简体中文\",\n 'cs': 'Čeština',\n 'bn': 'বাংলা',\n 'hi': 'हिंदी',\n 'id': 'Bahasa Indonesia',\n 'fy': 'Frysk'\n}\n# Define fall back languages for adventures\nFALL_BACK_ADVENTURE = {\n 'fy': 'nl',\n 'pt_br': 'pt_pt'\n}\n\nLEVEL_DEFAULTS = collections.defaultdict(hedy_content.NoSuchDefaults)\nfor lang in ALL_LANGUAGES.keys():\n LEVEL_DEFAULTS[lang] = hedy_content.LevelDefaults(lang)\n\nADVENTURES = collections.defaultdict(hedy_content.NoSuchAdventure)\nfor lang in ALL_LANGUAGES.keys():\n ADVENTURES[lang] = hedy_content.Adventures(lang)\n\nTRANSLATIONS = hedyweb.Translations()\n\nDATABASE = database.Database()\n\ndef load_adventure_for_language(lang):\n adventures_for_lang = ADVENTURES[lang]\n\n if not adventures_for_lang.has_adventures():\n # The default fall back language is English\n fall_back = FALL_BACK_ADVENTURE.get(lang, \"en\") \n adventures_for_lang = ADVENTURES[fall_back]\n return adventures_for_lang.adventures_file['adventures']\n\ndef load_adventures_per_level(lang, level):\n\n loaded_programs = {}\n # If user is logged in, we iterate their programs that belong to the current level. Out of these, we keep the latest created program for both the level mode(no adventure) and for each of the adventures.\n if current_user(request)['username']:\n user_programs = DATABASE.programs_for_user(current_user(request)['username'])\n for program in user_programs:\n if program['level'] != level:\n continue\n program_key = 'level' if not program.get('adventure_name') else program['adventure_name']\n if not program_key in loaded_programs:\n loaded_programs[program_key] = program\n elif loaded_programs[program_key]['date'] < program['date']:\n loaded_programs[program_key] = program\n\n all_adventures =[]\n\n adventures = load_adventure_for_language(lang)\n\n for short_name, adventure in adventures.items():\n if not level in adventure['levels']:\n continue\n # end adventure is the quiz\n # if quizzes are not enabled, do not load it\n if short_name == 'end' and not config['quiz-enabled']:\n continue\n all_adventures.append({\n 'short_name': short_name,\n 'name': adventure['name'],\n 'image': adventure.get('image', None),\n 'default_save_name': adventure['default_save_name'],\n 'text': adventure['levels'][level].get('story_text', 'No Story Text'),\n 'start_code': adventure['levels'][level].get('start_code', ''),\n 'loaded_program': '' if not loaded_programs.get(short_name) else {\n 'name': loaded_programs.get(short_name)['name'],\n 'code': loaded_programs.get(short_name)['code']\n }\n })\n # We create a 'level' pseudo assignment to store the loaded program for level mode, if any.\n all_adventures.append({\n 'short_name': 'level',\n 'loaded_program': '' if not loaded_programs.get('level') else {\n 'name': loaded_programs.get('level')['name'],\n 'code': loaded_programs.get('level')['code']\n }\n })\n return all_adventures\n\n# Load main menu(do it once, can be cached)\nwith open(f'main/menu.json', 'r', encoding='utf-8') as f:\n main_menu_json = json.load(f)\n\nlogging.basicConfig(\n level=logging.DEBUG,\n format='[%(asctime)s] %(levelname)-8s: %(message)s')\n\n\napp = Flask(__name__, static_url_path='')\n# Ignore trailing slashes in URLs\napp.url_map.strict_slashes = False\n\ncdn.Cdn(app, os.getenv('CDN_PREFIX'), os.getenv('HEROKU_SLUG_COMMIT', 'dev'))\n\n# Set session id if not already set. This must be done as one of the first things,\n# so the function should be defined high up.\[email protected]_request\ndef set_session_cookie():\n session_id()\n\nif os.getenv('IS_PRODUCTION'):\n @app.before_request\n def reject_e2e_requests():\n if utils.is_testing_request(request):\n return 'No E2E tests are allowed in production', 400\n\[email protected]_request\ndef before_request_proxy_testing():\n if utils.is_testing_request(request):\n if os.getenv('IS_TEST_ENV'):\n session['test_session'] = 'test'\n\n# HTTP -> HTTPS redirect\n# https://stackoverflow.com/questions/32237379/python-flask-redirect-to-https-from-http/32238093\nif os.getenv('REDIRECT_HTTP_TO_HTTPS'):\n @app.before_request\n def before_request_https():\n if request.url.startswith('http://'):\n url = request.url.replace('http://', 'https://', 1)\n # We use a 302 in case we need to revert the redirect.\n return redirect(url, code=302)\n\n# Unique random key for sessions.\n# For settings with multiple workers, an environment variable is required, otherwise cookies will be constantly removed and re-set by different workers.\nif utils.is_production():\n if not os.getenv('SECRET_KEY'):\n raise RuntimeError('The SECRET KEY must be provided for non-dev environments.')\n\n app.config['SECRET_KEY'] = os.getenv('SECRET_KEY')\n\nelse:\n app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', uuid.uuid4().hex)\n\nif utils.is_heroku():\n app.config.update(\n SESSION_COOKIE_SECURE=True,\n SESSION_COOKIE_HTTPONLY=True,\n SESSION_COOKIE_SAMESITE='Lax',\n )\n\n# Set security attributes for cookies in a central place - but not when running locally, so that session cookies work well without HTTPS\n\nCompress(app)\nCommonmark(app)\nparse_logger = jsonbin.MultiParseLogger(\n jsonbin.JsonBinLogger.from_env_vars(),\n jsonbin.S3ParseLogger.from_env_vars())\nquerylog.LOG_QUEUE.set_transmitter(aws_helpers.s3_querylog_transmitter_from_env())\n\n# Check that requested language is supported, otherwise return 404\[email protected]_request\ndef check_language():\n if requested_lang() not in ALL_LANGUAGES.keys():\n return \"Language \" + requested_lang() + \" not supported\", 404\n\nif utils.is_heroku() and not os.getenv('HEROKU_RELEASE_CREATED_AT'):\n logging.warning('Cannot determine release; enable Dyno metadata by running \"heroku labs:enable runtime-dyno-metadata -a <APP_NAME>\"')\n\n\[email protected]_request\ndef before_request_begin_logging():\n querylog.begin_global_log_record(path=request.path, method=request.method)\n\[email protected]_request\ndef after_request_log_status(response):\n querylog.log_value(http_code=response.status_code)\n return response\n\[email protected]_request\ndef set_security_headers(response):\n security_headers = {\n 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains',\n 'X-Frame-Options': None if re.match('.*/quiz', request.url) else 'DENY',\n 'X-XSS-Protection': '1; mode=block',\n }\n response.headers.update(security_headers)\n return response\n\[email protected]_request\ndef teardown_request_finish_logging(exc):\n querylog.finish_global_log_record(exc)\n\n# If present, PROXY_TO_TEST_HOST should be the 'http[s]://hostname[:port]' of the target environment\nif os.getenv('PROXY_TO_TEST_HOST') and not os.getenv('IS_TEST_ENV'):\n ab_proxying.ABProxying(app, os.getenv('PROXY_TO_TEST_HOST'), app.config['SECRET_KEY'])\n\[email protected]('/session_test', methods=['GET'])\ndef echo_session_vars_test():\n if not utils.is_testing_request(request):\n return 'This endpoint is only meant for E2E tests', 400\n return jsonify({'session': dict(session)})\n\[email protected]('/session_main', methods=['GET'])\ndef echo_session_vars_main():\n if not utils.is_testing_request(request):\n return 'This endpoint is only meant for E2E tests', 400\n return jsonify({'session': dict(session), 'proxy_enabled': bool(os.getenv('PROXY_TO_TEST_HOST'))})\n\[email protected]('/parse', methods=['POST'])\ndef parse():\n body = request.json\n if not body:\n return \"body must be an object\", 400\n if 'code' not in body:\n return \"body.code must be a string\", 400\n if 'level' not in body:\n return \"body.level must be a string\", 400\n if 'adventure_name' in body and not isinstance(body['adventure_name'], str):\n return \"if present, body.adventure_name must be a string\", 400\n\n code = body['code']\n level = int(body['level'])\n\n # Language should come principally from the request body,\n # but we'll fall back to browser default if it's missing for whatever\n # reason.\n lang = body.get('lang', requested_lang())\n\n # true if kid enabled the read aloud option\n read_aloud = body.get('read_aloud', False)\n\n response = {}\n username = current_user(request)['username'] or None\n\n querylog.log_value(level=level, lang=lang, session_id=session_id(), username=username)\n\n try:\n hedy_errors = TRANSLATIONS.get_translations(lang, 'HedyErrorMessages')\n with querylog.log_time('transpile'):\n transpile_result = hedy.transpile(code, level)\n python_code = transpile_result.code\n has_turtle = transpile_result.has_turtle\n\n response['has_turtle'] = has_turtle\n if has_turtle:\n response[\"Code\"] = textwrap.dedent(\"\"\"\\\n # coding=utf8\n import random, time, turtle\n t = turtle.Turtle()\n t.hideturtle()\n t.speed(0)\n t.penup()\n t.goto(50,100)\n t.showturtle()\n t.pendown()\n t.speed(3)\n \"\"\") + python_code\n else:\n response[\"Code\"] = \"# coding=utf8\\nimport random\\n\" + python_code\n\n except hedy.InvalidSpaceException as ex:\n traceback.print_exc()\n response = invalid_space_error_to_response(ex, hedy_errors)\n except hedy.ParseException as ex:\n traceback.print_exc()\n response = parse_error_to_response(ex, hedy_errors)\n except hedy.HedyException as ex:\n traceback.print_exc()\n response = hedy_error_to_response(ex, hedy_errors)\n\n except Exception as E:\n traceback.print_exc()\n print(f\"error transpiling {code}\")\n response[\"Error\"] = str(E)\n querylog.log_value(server_error=response.get('Error'))\n parse_logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': level,\n 'lang': lang,\n 'code': code,\n 'server_error': response.get('Error'),\n 'version': version(),\n 'username': username,\n 'read_aloud': read_aloud,\n 'is_test': 1 if os.getenv('IS_TEST_ENV') else None,\n 'adventure_name': body.get('adventure_name', None)\n })\n\n return jsonify(response)\n\ndef invalid_space_error_to_response(ex, translations):\n warning = translate_error(ex.error_code, translations, vars(ex))\n code = \"# coding=utf8\\n\" + ex.fixed_code\n return {\"Code\": code, \"Warning\": warning}\n\ndef parse_error_to_response(ex, translations):\n if ex.character_found is not None:\n # Localize the names of characters. If we can't do that, just show the original character.\n ex.character_found = translations.get(ex.character_found, ex.character_found)\n elif ex.keyword_found is not None:\n # If we find an invalid keyword, place it in the same location in the error message but without translating\n ex.character_found = ex.keyword_found\n error_message = translate_error(ex.error_code, translations, vars(ex))\n location = ex.location if hasattr(ex, \"location\") else None\n return {\"Error\": error_message, \"Location\": location}\n\ndef hedy_error_to_response(ex, translations):\n error_message = translate_error(ex.error_code, translations, ex.arguments)\n location = ex.location if hasattr(ex, \"location\") else None\n return {\"Error\": error_message, \"Location\": location}\n\ndef translate_error(code, translations, arguments):\n error_template = translations[code]\n return error_template.format(**arguments)\n\[email protected]('/report_error', methods=['POST'])\ndef report_error():\n post_body = request.json\n\n parse_logger.log({\n 'session': session_id(),\n 'date': str(datetime.datetime.now()),\n 'level': post_body.get('level'),\n 'code': post_body.get('code'),\n 'client_error': post_body.get('client_error'),\n 'version': version(),\n 'username': current_user(request)['username'] or None,\n 'is_test': 1 if os.getenv('IS_TEST_ENV') else None\n })\n\n return 'logged'\n\[email protected]('/client_exception', methods=['POST'])\ndef report_client_exception():\n post_body = request.json\n\n querylog.log_value(\n session=session_id(),\n date=str(datetime.datetime.now()),\n client_error=post_body,\n version=version(),\n username=current_user(request)['username'] or None,\n is_test=1 if os.getenv('IS_TEST_ENV') else None\n )\n\n # Return a 500 so the HTTP status codes will stand out in our monitoring/logging\n return 'logged', 500\n\[email protected]('/version', methods=['GET'])\ndef version_page():\n \"\"\"\n Generate a page with some diagnostic information and a useful GitHub URL on upcoming changes.\n\n This is an admin-only page, it does not need to be linked.\n (Also does not have any sensitive information so it's fine to be unauthenticated).\n \"\"\"\n app_name = os.getenv('HEROKU_APP_NAME')\n\n vrz = os.getenv('HEROKU_RELEASE_CREATED_AT')\n the_date = datetime.date.fromisoformat(vrz[:10]) if vrz else datetime.date.today()\n\n commit = os.getenv('HEROKU_SLUG_COMMIT', '????')[0:6]\n\n return render_template('version-page.html',\n app_name=app_name,\n heroku_release_time=the_date,\n commit=commit)\n\n\ndef programs_page(request):\n username = current_user(request)['username']\n if not username:\n # redirect users to /login if they are not logged in\n url = request.url.replace('/programs', '/login')\n return redirect(url, code=302)\n\n from_user = request.args.get('user') or None\n if from_user and not is_admin(request):\n if not is_teacher(request):\n return \"unauthorized\", 403\n students = DATABASE.get_teacher_students(username)\n if from_user not in students:\n return \"unauthorized\", 403\n\n texts=TRANSLATIONS.get_translations(requested_lang(), 'Programs')\n ui=TRANSLATIONS.get_translations(requested_lang(), 'ui')\n adventures = load_adventure_for_language(requested_lang())\n\n result = DATABASE.programs_for_user(from_user or username)\n programs =[]\n now = timems()\n for item in result:\n program_age = now - item['date']\n if program_age < 1000 * 60 * 60:\n measure = texts['minutes']\n date = round(program_age /(1000 * 60))\n elif program_age < 1000 * 60 * 60 * 24:\n measure = texts['hours']\n date = round(program_age /(1000 * 60 * 60))\n else:\n measure = texts['days']\n date = round(program_age /(1000 * 60 * 60 * 24))\n\n programs.append({'id': item['id'], 'code': item['code'], 'date': texts['ago-1'] + ' ' + str(date) + ' ' + measure + ' ' + texts['ago-2'], 'level': item['level'], 'name': item['name'], 'adventure_name': item.get('adventure_name'), 'public': item.get('public')})\n\n return render_template('programs.html', lang=requested_lang(), menu=render_main_menu('programs'), texts=texts, ui=ui, auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'), programs=programs, username=username, is_teacher=is_teacher(request), current_page='programs', from_user=from_user, adventures=adventures)\n\[email protected]('/quiz/start/<level>', methods=['GET'])\ndef get_quiz_start(level):\n if not config.get('quiz-enabled') and g.lang != 'nl':\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), 'Hedy quiz disabled!')\n else:\n g.lang = lang = requested_lang()\n g.prefix = '/hedy'\n\n #Sets the values of total_score and correct on the beginning of the quiz at 0\n session['total_score'] = 0\n session['correct_answer'] = 0\n return render_template('startquiz.html', level=level, next_assignment=1, menu=render_main_menu('adventures'),\n lang=lang,\n username=current_user(request)['username'], is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n\n\ndef quiz_data_file_for(level):\n return YamlFile.for_file(f'coursedata/quiz/quiz_questions_lvl{level}.yaml')\n\n# Quiz mode\n# Fill in the filename as source\[email protected]('/quiz/quiz_questions/<level_source>/<question_nr>/<attempt>', methods=['GET'])\ndef get_quiz(level_source, question_nr, attempt):\n if not config.get('quiz-enabled') and g.lang != 'nl':\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), 'Hedy quiz disabled!')\n else:\n # Reading the yaml file\n quiz_data = quiz_data_file_for(level_source)\n if not quiz_data.exists():\n return 'No quiz yaml file found for this level', 404\n\n # set globals\n g.lang = lang = requested_lang()\n g.prefix = '/hedy'\n\n # Loop through the questions and check that the loop doesn't reach out of bounds\n q_nr = int(question_nr)\n\n if int(attempt) == 1:\n questionStatus = 'start'\n\n if q_nr <= len(quiz_data['questions']):\n question = quiz_data['questions'][q_nr - 1].get(q_nr)\n\n # Convert the indices to the corresponding characters\n char_array =[]\n for i in range(len(question['mp_choice_options'])):\n char_array.append(chr(ord('@') + (i + 1)))\n\n i = 0\n question_obj = []\n for options in question['mp_choice_options']:\n option_obj = {}\n for options_key, options_value in options.items():\n for option in options_value:\n for key, value in option.items():\n if value:\n option_obj[key] = value.replace(\"\\n\", '\\\\n')\n option_obj['char_index'] = char_array[i]\n i += 1\n question_obj.append(option_obj)\n \n html_obj = render_template('quiz_question.html',\n quiz=quiz_data,\n level_source=level_source,\n questionStatus= questionStatus,\n questions=quiz_data['questions'],\n question_options=question_obj,\n question=quiz_data['questions'][q_nr - 1].get(q_nr),\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n attempt = attempt,\n char_array=char_array,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n return html_obj.replace(\"\\\\n\", '<br />')\n else:\n return render_template('endquiz.html', correct=session.get('correct_answer'),\n total_score=session.get('total_score'),\n menu=render_main_menu('adventures'), lang=lang,\n quiz=quiz_data, level=int(level_source) + 1, questions=quiz_data['questions'],\n next_assignment=1, username=current_user(request)['username'],\n is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n\[email protected]('/quiz/submit_answer/<level_source>/<question_nr>/<attempt>', methods=[\"POST\"])\ndef submit_answer(level_source, question_nr, attempt):\n if not config.get('quiz-enabled') and g.lang != 'nl':\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), 'Hedy quiz disabled!')\n else:\n # Get the chosen option from the request form with radio buttons\n chosen_option = request.form[\"radio_option\"]\n\n # Reading yaml file\n quiz_data = quiz_data_file_for(level_source)\n if not quiz_data.exists():\n return 'No quiz yaml file found for this level', 404\n\n # Convert question_nr to an integer\n q_nr = int(question_nr)\n\n session['quiz-attempt'] = int(attempt)\n questionStatus = 'false'\n if int(attempt) == 1:\n questionStatus = 'start'\n # Convert the corresponding chosen option to the index of an option\n question = quiz_data['questions'][q_nr - 1].get(q_nr)\n index_option = ord(chosen_option.split(\"-\")[1]) - 65\n session['chosen_option'] =chosen_option.split(\"-\")[1]\n # If the correct answer is chosen, update the total score and the number of correct answered questions\n if question['correct_answer'] in chosen_option:\n if session.get('total_score'):\n session['total_score'] = session.get('total_score') +(config.get('quiz-max-attempts') - session.get('quiz-attempt') )* 0.5 * question['question_score']\n else:\n session['total_score'] =(config.get('quiz-max-attempts') - session.get('quiz-attempt') )* 0.5 * question['question_score']\n if session.get('correct_answer'):\n session['correct_answer'] = session.get('correct_answer') + 1\n else:\n session['correct_answer'] = 1\n # Loop through the questions and check that the loop doesn't reach out of bounds\n q_nr = int(question_nr)\n if q_nr <= len(quiz_data['questions']) :\n question = quiz_data['questions'][q_nr - 1].get(q_nr)\n # Convert the indices to the corresponding characters\n\n # Convert the indices to the corresponding characters\n char_array = []\n for i in range(len(question['mp_choice_options'])):\n char_array.append(chr(ord('@') + (i + 1)))\n\n i = 0\n question_obj = []\n for options in question['mp_choice_options']:\n option_obj = {}\n for options_key, options_value in options.items():\n for option in options_value:\n for key, value in option.items():\n if value:\n option_obj[key] = value.replace(\"\\n\", '\\\\n')\n option_obj['char_index'] = char_array[i]\n i += 1\n question_obj.append(option_obj)\n if question['correct_answer'] in chosen_option:\n return render_template('feedback.html', quiz=quiz_data, question=question,\n questions=quiz_data['questions'],\n question_options=question_obj,\n level_source=level_source,\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n option=chosen_option,\n index_option=index_option,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n auth=TRANSLATIONS.data[requested_lang()]['Auth'])\n elif session.get('quiz-attempt') <= config.get('quiz-max-attempts'):\n\n html_obj = render_template('quiz_question.html',\n quiz=quiz_data,\n level_source=level_source,\n questionStatus=questionStatus,\n questions=quiz_data['questions'],\n question_options=question_obj,\n question=quiz_data['questions'][q_nr - 1].get(q_nr),\n chosen_option=chosen_option,\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n attempt=attempt,\n char_array=char_array,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n is_teacher=is_teacher(request),\n auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n return html_obj.replace(\"\\\\n\", '<br />')\n elif session.get('quiz-attempt') > config.get('quiz-max-attempts'):\n return render_template('feedback.html',\n quiz=quiz_data,\n question=question,\n question_options=question_obj,\n questions=quiz_data['questions'],\n level_source=level_source,\n question_nr=q_nr,\n correct=session.get('correct_answer'),\n questionStatus = questionStatus,\n option=chosen_option,\n index_option=index_option,\n menu=render_main_menu('adventures'), lang=lang,\n username=current_user(request)['username'],\n auth=TRANSLATIONS.data[requested_lang()]['Auth'])\n else: # show a different page for after the last question\n return 'No end quiz page!', 404\n\n# Adventure mode\[email protected]('/hedy/adventures', methods=['GET'])\ndef adventures_list():\n adventures = load_adventure_for_language(requested_lang())\n menu = render_main_menu('adventures')\n return render_template('adventures.html', lang=lang, adventures=adventures, menu=menu, username=current_user(request)['username'], is_teacher=is_teacher(request), auth=TRANSLATIONS.get_translations(requested_lang(), 'Auth'))\n\[email protected]('/hedy/adventures/<adventure_name>', methods=['GET'], defaults={'level': 1})\[email protected]('/hedy/adventures/<adventure_name>/<level>', methods=['GET'])\ndef adventure_page(adventure_name, level):\n\n user = current_user(request)\n level = int(level)\n adventures = load_adventure_for_language(requested_lang())\n\n # If requested adventure does not exist, return 404\n if not adventure_name in adventures:\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_adventure'))\n\n adventure = adventures[adventure_name]\n\n # If no level is specified(this will happen if the last element of the path(minus the query parameter) is the same as the adventure_name)\n if re.sub(r'\\?.+', '', request.url.split('/')[len(request.url.split('/')) - 1]) == adventure_name:\n # If user is logged in, check if they have a program for this adventure\n # If there are many, note the highest level for which there is a saved program\n desired_level = 0\n if user['username']:\n existing_programs = DATABASE.programs_for_user(user['username'])\n for program in existing_programs:\n if 'adventure_name' in program and program['adventure_name'] == adventure_name and program['level'] > desired_level:\n desired_level = program['level']\n # If the user has a saved program for this adventure, redirect them to the level with the highest adventure\n if desired_level != 0:\n return redirect(request.url.replace('/' + adventure_name, '/' + adventure_name + '/' + str(desired_level)), code=302)\n # If user is not logged in, or has no saved programs for this adventure, default to the lowest level available for the adventure\n if desired_level == 0:\n for key in adventure['levels'].keys():\n if isinstance(key, int) and(desired_level == 0 or desired_level > key):\n desired_level = key\n level = desired_level\n\n # If requested level is not in adventure, return 404\n if not level in adventure['levels']:\n return utils.page_404 (TRANSLATIONS, render_main_menu('adventures'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_adventure_level'))\n\n adventures_for_level = load_adventures_per_level(requested_lang(), level)\n level_defaults_for_lang = LEVEL_DEFAULTS[requested_lang()]\n defaults = level_defaults_for_lang.get_defaults_for_level(level)\n max_level = level_defaults_for_lang.max_level()\n\n g.prefix = '/hedy'\n return hedyweb.render_code_editor_with_tabs(\n request=request,\n level_defaults=defaults,\n max_level=max_level,\n lang=requested_lang(),\n level_number=level,\n menu=render_main_menu('hedy'),\n translations=TRANSLATIONS,\n version=version(),\n adventures=adventures_for_level,\n # The relevant loaded program will be available to client-side js and it will be loaded by js.\n loaded_program='',\n adventure_name=adventure_name)\n\n# routing to index.html\[email protected]('/ontrack', methods=['GET'], defaults={'level': '1', 'step': 1})\[email protected]('/onlinemasters', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/onlinemasters/<int:level>', methods=['GET'], defaults={'step': 1})\[email protected]('/space_eu', methods=['GET'], defaults={'level': 1, 'step': 1})\[email protected]('/hedy', methods=['GET'], defaults={'level': '1', 'step': 1})\[email protected]('/hedy/<level>', methods=['GET'], defaults={'step': 1})\[email protected]('/hedy/<level>/<step>', methods=['GET'])\ndef index(level, step):\n if re.match('\\d', level):\n try:\n g.level = level = int(level)\n except:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_level'))\n else:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_level'))\n\n g.lang = requested_lang()\n g.prefix = '/hedy'\n\n loaded_program = ''\n adventure_name = ''\n\n # If step is a string that has more than two characters, it must be an id of a program\n if step and isinstance(step, str) and len(step) > 2:\n result = DATABASE.program_by_id(step)\n if not result:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_program'))\n # If the program is not public, allow only the owner of the program, the admin user and the teacher users to access the program\n user = current_user(request)\n public_program = 'public' in result and result['public']\n if not public_program and user['username'] != result['username'] and not is_admin(request) and not is_teacher(request):\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_program'))\n loaded_program = {'code': result['code'], 'name': result['name'], 'adventure_name': result.get('adventure_name')}\n if 'adventure_name' in result:\n adventure_name = result['adventure_name']\n\n adventures = load_adventures_per_level(requested_lang(), level)\n level_defaults_for_lang = LEVEL_DEFAULTS[requested_lang()]\n defaults = level_defaults_for_lang.get_defaults_for_level(level)\n max_level = level_defaults_for_lang.max_level()\n\n return hedyweb.render_code_editor_with_tabs(\n request=request,\n lang=g.lang,\n level_defaults=defaults,\n max_level=max_level,\n level_number=level,\n menu=render_main_menu('hedy'),\n translations=TRANSLATIONS,\n version=version(),\n adventures=adventures,\n loaded_program=loaded_program,\n adventure_name=adventure_name)\n\[email protected]('/hedy/<id>/view', methods=['GET'])\ndef view_program(id):\n g.lang = requested_lang()\n g.prefix = '/hedy'\n\n result = DATABASE.program_by_id(id)\n if not result:\n return utils.page_404 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang (), TRANSLATIONS.get_translations (requested_lang (), 'ui').get ('no_such_program'))\n\n # Default to the language of the program's author(but still respect)\n # the switch if given.\n lang = request.args.get(\"lang\")\n if not lang:\n lang = result['lang']\n\n arguments_dict = {}\n arguments_dict['program_id'] = id\n arguments_dict['page_title'] = f'{result[\"name\"]} – Hedy'\n arguments_dict['level'] = result['level'] # Necessary for running\n arguments_dict['loaded_program'] = result\n arguments_dict['editor_readonly'] = True\n arguments_dict['show_edit_button'] = True\n\n # Everything below this line has nothing to do with this page and it's silly\n # that every page needs to put in so much effort to re-set it\n arguments_dict['lang'] = lang\n arguments_dict['menu'] = render_main_menu('view')\n arguments_dict['auth'] = TRANSLATIONS.get_translations(lang, 'Auth')\n arguments_dict['username'] = current_user(request)['username'] or None\n arguments_dict['is_teacher'] = is_teacher(request)\n arguments_dict.update(**TRANSLATIONS.get_translations(lang, 'ui'))\n\n return render_template(\"view-program-page.html\", **arguments_dict)\n\n\n\n\[email protected]('/client_messages.js', methods=['GET'])\ndef client_messages():\n error_messages = TRANSLATIONS.get_translations(requested_lang(), \"ClientErrorMessages\")\n ui_messages = TRANSLATIONS.get_translations(requested_lang(), \"ui\")\n auth_messages = TRANSLATIONS.get_translations(requested_lang(), \"Auth\")\n\n response = make_response(render_template(\"client_messages.js\",\n error_messages=json.dumps(error_messages),\n ui_messages=json.dumps(ui_messages),\n auth_messages=json.dumps(auth_messages)))\n\n if not is_debug_mode():\n # Cache for longer when not devving\n response.cache_control.max_age = 60 * 60 # Seconds\n\n return response\n\[email protected](500)\ndef internal_error(exception):\n import traceback\n print(traceback.format_exc())\n return utils.page_500 (TRANSLATIONS, render_main_menu('hedy'), current_user(request) ['username'], requested_lang ())\n\[email protected]('/index.html')\[email protected]('/')\ndef default_landing_page():\n return main_page('start')\n\[email protected]('/<page>')\ndef main_page(page):\n if page == 'favicon.ico':\n abort(404)\n\n lang = requested_lang()\n effective_lang = lang\n\n if page in['signup', 'login', 'my-profile', 'recover', 'reset', 'admin']:\n return auth_templates(page, lang, render_main_menu(page), request)\n\n if page == 'programs':\n return programs_page(request)\n\n # Default to English if requested language is not available\n if not path.isfile(f'main/{page}-{effective_lang}.md'):\n effective_lang = 'en'\n\n try:\n with open(f'main/{page}-{effective_lang}.md', 'r', encoding='utf-8') as f:\n contents = f.read()\n except IOError:\n abort(404)\n\n front_matter, markdown = split_markdown_front_matter(contents)\n\n menu = render_main_menu(page)\n if page == 'for-teachers':\n teacher_classes =[] if not current_user(request)['username'] else DATABASE.get_teacher_classes(current_user(request)['username'], True)\n return render_template('for-teachers.html', sections=split_teacher_docs(contents), lang=lang, menu=menu, username=current_user(request)['username'], is_teacher=is_teacher(request), auth=TRANSLATIONS.get_translations(lang, 'Auth'), teacher_classes=teacher_classes, **front_matter)\n\n return render_template('main-page.html', mkd=markdown, lang=lang, menu=menu, username=current_user(request)['username'], is_teacher=is_teacher(request), auth=TRANSLATIONS.get_translations(lang, 'Auth'), **front_matter)\n\n\ndef session_id():\n \"\"\"Returns or sets the current session ID.\"\"\"\n if 'session_id' not in session:\n if os.getenv('IS_TEST_ENV') and 'X-session_id' in request.headers:\n session['session_id'] = request.headers['X-session_id']\n else:\n session['session_id'] = uuid.uuid4().hex\n return session['session_id']\n\ndef requested_lang():\n \"\"\"Return the user's requested language code.\n\n If not in the request parameters, use the browser's accept-languages\n header to do language negotiation.\n \"\"\"\n lang = request.args.get(\"lang\")\n if lang: return lang\n\n return request.accept_languages.best_match(ALL_LANGUAGES.keys(), 'en')\n\[email protected]_global()\ndef current_language():\n return make_lang_obj(requested_lang())\n\[email protected]_global()\ndef hedy_link(level_nr, assignment_nr, subpage=None, lang=None):\n \"\"\"Make a link to a Hedy page.\"\"\"\n parts =[g.prefix]\n parts.append('/' + str(level_nr))\n if str(assignment_nr) != '1' or subpage:\n parts.append('/' + str(assignment_nr if assignment_nr else '1'))\n if subpage and subpage != 'code':\n parts.append('/' + subpage)\n parts.append('?')\n parts.append('lang=' +(lang if lang else requested_lang()))\n return ''.join(parts)\n\[email protected]_global()\ndef other_languages():\n cl = requested_lang()\n return[make_lang_obj(l) for l in ALL_LANGUAGES.keys() if l != cl]\n\[email protected]_global()\ndef localize_link(url):\n lang = requested_lang()\n if not lang:\n return url\n if '?' in url:\n return url + '&lang=' + lang\n else:\n return url + '?lang=' + lang\n\ndef make_lang_obj(lang):\n \"\"\"Make a language object for a given language.\"\"\"\n return {\n 'sym': ALL_LANGUAGES[lang],\n 'lang': lang\n }\n\n\[email protected]_global()\ndef modify_query(**new_values):\n args = request.args.copy()\n\n for key, value in new_values.items():\n args[key] = value\n\n return '{}?{}'.format(request.path, url_encode(args))\n\n\ndef no_none_sense(d):\n \"\"\"Remove all None values from a dict.\"\"\"\n return {k: v for k, v in d.items() if v is not None}\n\n\ndef split_markdown_front_matter(md):\n parts = re.split('^---', md, 1, re.M)\n if len(parts) == 1:\n return {}, md\n # safe_load returns 'None' if the string is empty\n front_matter = yaml.safe_load(parts[0]) or {}\n if not isinstance(front_matter, dict):\n # There was some kind of parsing error\n return {}, md\n\n return front_matter, parts[1]\n\ndef split_teacher_docs(contents):\n tags = utils.markdown_to_html_tags(contents)\n sections =[]\n for tag in tags:\n # Sections are divided by h2 tags\n if re.match('^<h2>', str(tag)):\n tag = tag.contents[0]\n # We strip `page_title: ` from the first title\n if len(sections) == 0:\n tag = tag.replace('page_title: ', '')\n sections.append({'title': tag, 'content': ''})\n else:\n sections[-1]['content'] += str(tag)\n return sections\n\ndef render_main_menu(current_page):\n \"\"\"Render a list of(caption, href, selected, color) from the main menu.\"\"\"\n return[dict(\n caption=item.get(requested_lang(), item.get('en', '???')),\n href='/' + item['_'],\n selected=(current_page == item['_']),\n accent_color=item.get('accent_color', 'white'),\n short_name=item['_']\n ) for item in main_menu_json['nav']]\n\n# *** PROGRAMS ***\n\[email protected]('/programs_list', methods=['GET'])\n@requires_login\ndef list_programs(user):\n return {'programs': DATABASE.programs_for_user(user['username'])}\n\n# Not very restful to use a GET to delete something, but indeed convenient; we can do it with a single link and avoiding AJAX.\[email protected]('/programs/delete/<program_id>', methods=['GET'])\n@requires_login\ndef delete_program(user, program_id):\n result = DATABASE.program_by_id(program_id)\n if not result or result['username'] != user['username']:\n return \"\", 404\n DATABASE.delete_program_by_id(program_id)\n DATABASE.increase_user_program_count(user['username'], -1)\n return redirect('/programs')\n\[email protected]('/programs', methods=['POST'])\n@requires_login\ndef save_program(user):\n\n body = request.json\n if not isinstance(body, dict):\n return 'body must be an object', 400\n if not isinstance(body.get('code'), str):\n return 'code must be a string', 400\n if not isinstance(body.get('name'), str):\n return 'name must be a string', 400\n if not isinstance(body.get('level'), int):\n return 'level must be an integer', 400\n if 'adventure_name' in body:\n if not isinstance(body.get('adventure_name'), str):\n return 'if present, adventure_name must be a string', 400\n\n # We check if a program with a name `xyz` exists in the database for the username.\n # It'd be ideal to search by username & program name, but since DynamoDB doesn't allow searching for two indexes at the same time, this would require to create a special index to that effect, which is cumbersome.\n # For now, we bring all existing programs for the user and then search within them for repeated names.\n programs = DATABASE.programs_for_user(user['username'])\n program_id = uuid.uuid4().hex\n overwrite = False\n for program in programs:\n if program['name'] == body['name']:\n overwrite = True\n program_id = program['id']\n break\n\n stored_program = {\n 'id': program_id,\n 'session': session_id(),\n 'date': timems(),\n 'lang': requested_lang(),\n 'version': version(),\n 'level': body['level'],\n 'code': body['code'],\n 'name': body['name'],\n 'username': user['username']\n }\n\n if 'adventure_name' in body:\n stored_program['adventure_name'] = body['adventure_name']\n\n DATABASE.store_program(stored_program)\n if not overwrite:\n DATABASE.increase_user_program_count(user['username'])\n\n return jsonify({'name': body['name'], 'id': program_id})\n\[email protected]('/programs/share', methods=['POST'])\n@requires_login\ndef share_unshare_program(user):\n body = request.json\n if not isinstance(body, dict):\n return 'body must be an object', 400\n if not isinstance(body.get('id'), str):\n return 'id must be a string', 400\n if not isinstance(body.get('public'), bool):\n return 'public must be a string', 400\n\n result = DATABASE.program_by_id(body['id'])\n if not result or result['username'] != user['username']:\n return 'No such program!', 404\n\n DATABASE.set_program_public_by_id(body['id'], bool(body['public']))\n return jsonify({'id': body['id']})\n\[email protected]('/translate/<source>/<target>')\ndef translate_fromto(source, target):\n source_adventures = YamlFile.for_file(f'coursedata/adventures/{source}.yaml').to_dict()\n source_levels = YamlFile.for_file(f'coursedata/level-defaults/{source}.yaml').to_dict()\n source_texts = YamlFile.for_file(f'coursedata/texts/{source}.yaml').to_dict()\n\n target_adventures = YamlFile.for_file(f'coursedata/adventures/{target}.yaml').to_dict()\n target_levels = YamlFile.for_file(f'coursedata/level-defaults/{target}.yaml').to_dict()\n target_texts = YamlFile.for_file(f'coursedata/texts/{target}.yaml').to_dict()\n\n files =[]\n\n files.append(translating.TranslatableFile(\n 'Levels',\n f'level-defaults/{target}.yaml',\n translating.struct_to_sections(source_levels, target_levels)))\n\n files.append(translating.TranslatableFile(\n 'Messages',\n f'texts/{target}.yaml',\n translating.struct_to_sections(source_texts, target_texts)))\n\n files.append(translating.TranslatableFile(\n 'Adventures',\n f'adventures/{target}.yaml',\n translating.struct_to_sections(source_adventures, target_adventures)))\n\n return render_template('translate-fromto.html',\n source_lang=source,\n target_lang=target,\n files=files)\n\[email protected]('/update_yaml', methods=['POST'])\ndef update_yaml():\n filename = path.join('coursedata', request.form['file'])\n # The file MUST point to something inside our 'coursedata' directory\n #(no exploiting bullshit here)\n filepath = path.abspath(filename)\n expected_path = path.abspath('coursedata')\n if not filepath.startswith(expected_path):\n raise RuntimeError('Are you trying to trick me?')\n\n data = load_yaml_rt(filepath)\n for key, value in request.form.items():\n if key.startswith('c:'):\n translating.apply_form_change(data, key[2:], translating.normalize_newlines(value))\n\n data = translating.normalize_yaml_blocks(data)\n\n return Response(dump_yaml_rt(data),\n mimetype='application/x-yaml',\n headers={'Content-disposition': 'attachment; filename=' + request.form['file'].replace('/', '-')})\n\n\n# *** AUTH ***\n\nfrom website import auth\nauth.routes(app, DATABASE, requested_lang)\n\n# *** TEACHER BACKEND\n\nfrom website import teacher\nteacher.routes(app, DATABASE, requested_lang)\n\n# *** START SERVER ***\n\ndef on_server_start():\n \"\"\"Called just before the server is started, both in developer mode and on Heroku.\n\n Use this to initialize objects, dependencies and connections.\n \"\"\"\n pass\n\n\nif __name__ == '__main__':\n # Start the server on a developer machine. Flask is initialized in DEBUG mode, so it\n # hot-reloads files. We also flip our own internal \"debug mode\" flag to True, so our\n # own file loading routines also hot-reload.\n utils.set_debug_mode(not os.getenv('NO_DEBUG_MODE'))\n\n # If we are running in a Python debugger, don't use flasks reload mode. It creates\n # subprocesses which make debugging harder.\n is_in_debugger = sys.gettrace() is not None\n\n on_server_start()\n\n # Threaded option enables multiple instances for multiple user access support\n app.run(threaded=True, debug=not is_in_debugger, port=config['port'], host=\"0.0.0.0\")\n\n # See `Procfile` for how the server is started on Heroku.\n", "path": "app.py" } ]
diff --git a/app.py b/app.py index 26be1e659a7..c485c8b42c8 100644 --- a/app.py +++ b/app.py @@ -964,7 +964,6 @@ def split_teacher_docs(contents): sections.append({'title': tag, 'content': ''}) else: sections[-1]['content'] += str(tag) - return sections def render_main_menu(current_page): diff --git a/main/for-teachers-de.md b/main/for-teachers-de.md index 9d46ed31263..2f32979b58e 100644 --- a/main/for-teachers-de.md +++ b/main/for-teachers-de.md @@ -177,20 +177,20 @@ Z.B. programmieren sie: `print Hello, I'm Hedy` statt `print Hello I'm Hedy` Z.B. programmieren sie: -``` +<pre> tiere is Hund, Katze, Kuh print die besten tiere sind... print tiere at random -``` +</pre> Stattdessen sollten sie ein anderes Wort als tiere in der zweiten Zeile verwenden. Zum Beispiel: -``` +<pre> tiere is Hund, Katze, Kuh print das beste tier ist… print tiere at random -``` +</pre> ### Lehrplan 2 @@ -209,28 +209,28 @@ All diese Zahlen sind Variablen. Eine Variable muss nicht unbedingt eine Zahl sein, sie kann auch (eine Liste von) Wörtern sein, wie Ihr Name. Sie können dieses Beispiel in Hedy zur Demonstration verwenden: -``` +<pre> name is Hedy print Hallo name! -``` +</pre> Dies zeigt, dass Sie den Wert einer Variablen in Ihrem Code bestimmen können. Sie können aber auch den Spieler fragen, welchen Wert die Variable haben soll. Wie im nächsten Beispiel: -``` +<pre> name is ask Wie heißt du? print Hallo name! -``` +</pre> Erweitern Sie das Beispiel, indem Sie die Variable `alter` hinzufügen: -``` +<pre> name is ask Wie heißt du? print Hallo name! alter is ask Wie alt sind Sie? print Sie sind alter Jahre alt -``` +</pre> #### Probieren Sie es aus! (10 Minuten) Lassen Sie Ihre Schüler versuchen, diese Befehle selbst zu benutzen, oder lassen Sie sie sich ihre eigenen Versionen ausdenken. @@ -238,27 +238,27 @@ Lassen Sie Ihre Schüler versuchen, diese Befehle selbst zu benutzen, oder lasse #### Nach dem Zufallsprinzip (15 Minuten) Das Lustige an Variablen ist, dass Sie Hedy einen Zufallswert aus Ihrer Liste auswählen lassen können. Zeigen Sie Ihren Schülern dieses Beispiel und lassen Sie sie anschließend an ihren eigenen Programmierungen arbeiten: -``` +<pre> auswahl is Stein, Papier, Schere print auswahl at random -``` +</pre> -``` +<pre> vereine is FC Barcelona, Bayern München, Manchester United print Der beste Fußballverein ist... print vereine at random -``` +</pre> #### Aufgabe: Die Wahrsagerin (20 min) -``` +<pre> print Ich bin Hedy, die Wahrsagerin! frage is Was willst du wissen? print Das ist es, was du wissen willst: frage antworten is ja, nein, vielleicht print Meine Kristallkugel sagt... print antworten at random -``` +</pre> #### Auswertung (5 min) Werten Sie die Lektion kurz mit Ihren Schülern aus, um die Lektion abzurunden. @@ -299,11 +299,11 @@ Erklären Sie, dass in Level 3 nach der Verwendung des `print`-Befehls Anführun Das folgende Beispiel zeigt, wie wichtig bzw. praktisch es ist, Anführungszeichen zu verwenden. Hinweis: Zeigen Sie Ihren Schülern zuerst den Code in Level 2! -``` +<pre> Haustier is Hund, Katze, Hase print Du bekommst dies Haustier: print Haustier at random -``` +</pre> Sie werden sehen, dass das Wort `Haustier` in Zeile 2 nicht funktioniert. Es wurde in den Wert der Variable Haustier geändert, obwohl Sie es als normales Wort verwenden wollten. @@ -311,25 +311,25 @@ In Level 3 wird dieses Problem durch die Verwendung der Anführungszeichen gelö Die Anführungszeichen sagen Hedy, dass alles, was zwischen den Anführungszeichen steht, ein normales Wort sein soll, das gedruckt werden soll. Alles außerhalb der Anführungszeichen ist eine Variable oder ein Befehl. Zeigen Sie dieses Beispiel in Level 3. -``` +<pre> Haustier is Hund, Katze, Hase print 'Du bekommst dies Haustier: ' print Haustier at random -``` +</pre> Beachten Sie, dass die Anführungszeichen verwendet werden, um Hedy mitzuteilen, welcher Text gedruckt werden soll. Das bedeutet, dass Sie die Anführungszeichen nicht für andere Zwecke verwenden können, wie z. B. zum Zusammenziehen von Wörtern. Zeigen Sie Ihren Schülern, dass dies bedeutet, dass dieser Code wegen des Apostrophs in Zeile 2 nicht funktionieren wird. -``` +<pre> print 'Wie geht's?' -``` +</pre> Korrigieren Sie es, indem Sie das Apostroph entfernen. -``` +<pre> print 'Wie gehts?' -``` +</pre> Bevor sich die Schüler an die Arbeit machen, achten Sie auf die häufig gemachten Fehler: Es sollte immer ein Anführungszeichen vor und eines nach dem Text stehen, den Sie ausgeben wollen. Prüfen Sie also immer, ob alle `print`-Befehle 2 Anführungszeichen haben. @@ -372,77 +372,77 @@ Dies sind die häufigsten Fehler, die von Schülern im Level 4 gemacht werden: - Fehler: Die Schüler setzen `else` in die nächste Zeile, aber es sollte in der gleichen Zeile stehen wie der `if`-Befehl. Beispiel: -``` +<pre> if name is Hedy print 'Toll!' else print 'Buh!' -``` +</pre> Solution: `else` should be in the same line as `if`. -``` +<pre> if name is Hedy print 'Toll!' else print 'Buh!' -``` +</pre> - Fehler: Schüler verwenden Apostrophe nach einem `print`-Befehl. -``` +<pre> print 'Wie geht's?' -``` +</pre> Lösung: Verwenden Sie keine Apostrophe. -``` +<pre> print 'Wie gehts?' -``` +</pre> - Fehler: Die Schüler vergessen, den `print`-Befehl zu verwenden, wenn sie einen `if`-Befehl verwenden. -``` +<pre> if name is Hedy 'Toll!' else 'Buh!' -``` +</pre> Lösung: Verwenden Sie `print` zweimal, wenn Sie sowohl `if` als auch `else` verwenden. -``` +<pre> if name is Hedy print 'Toll!' else print 'Buh!' -``` +</pre> - Fehler: Schüler verwenden unterschiedliche Namen für dieselbe Variable. -``` +<pre> Pferd is ask Wie heißt dein Pferd? if name is Spirit print 'Toll!' else print 'Buh!' -``` +</pre> Lösung: Verwenden Sie immer den gleichen Namen für Ihre Variable (prüfen Sie auch, ob der Variablenname im Singular oder Plural steht (Antwort/Antworten) und achten sie auf Groß- und Kleinschreibung). -``` +<pre> Pferd is ask Wie heißt dein Pferd? if Pferd is Spirit print 'Toll!' else print 'Buh!' -``` +</pre> - Fehler: Schüler vergessen, bei der Verwendung von `if` und `else` die beiden Anführungszeichen nach `print` zu setzen. -``` +<pre> if name is Hedy print Toll! else print 'Buh! -``` +</pre> Lösung: Verwenden Sie immer zwei Anführungszeichen (sowohl vor als auch hinter dem Text) für jeden `print`-Befehl in Ihrem Code. -``` +<pre> if name is Hedy print 'Toll!' else print 'Buh!' -``` +</pre> - Fehler: Schüler verwenden Anführungszeichen um eine Variable. -``` +<pre> if 'name' is 'Hedy' print 'Toll!' else print 'Buh!' -``` +</pre> Lösung: Verwenden Sie keine Anführungszeichen um eine Variable. -``` +<pre> if name is Hedy print 'Toll!' else print 'Buh!' -``` +</pre> - Fehler: Schüler vergeben Namen für Variablen, die aus mehreren Wörtern bestehen. -``` +<pre> Gewaehlte Tuer is ask Welche Tür wählst du? -``` +</pre> Lösung: Ein Variablenname sollte immer nur aus einem Wort bestehen, d.h. kein Leerzeichen enthalten. -``` +<pre> gewaehltetuer is ask Welche Tür wählst du? -``` +</pre> - Fehler: Schüler wollen, dass mehrere Antworten richtig sind, wenn sie if verwenden. -``` +<pre> if name is Jonas, David, Said print 'Du bist lustig!' else print 'Du bist nicht lustig!' -``` +</pre> Lösung: Dies ist leider nicht erlaubt. Sie können nur einen Namen für jeden if-Befehl wählen. Andererseits können Sie mehrere if-Befehle in einem Code verwenden, wie im Beispiel unten: -``` +<pre> name is ask Wie heißt du? if name is Jonas print 'Du bist lustig!' @@ -450,18 +450,18 @@ if name is Jonas print 'Du bist lustig!' if name is David print 'Du bist lustig!' if name is Said print 'Du bist lustig!' -``` +</pre> - Fehler: Die Schüler geben in `ask` die gleiche Antwort wie den Variablennamen. Zum Beispiel hat dieser Schüler das Kennwort 'Passwort' gemacht. -``` +<pre> Passwort is ask Wie lautet das geheime Passwort? if Passwort is Passwort print 'Hereinspaziert!' else print 'Zugriff verweigert!' -``` +</pre> Lösung: Wählen Sie einen anderen Namen für die Variable. -``` +<pre> kennwort is ask Wie lautet das geheime Passwort? if kennwort is Passwort print 'Hereinspaziert!' else print 'Zugriff verweigert!' -``` +</pre> ### Lehrplan 4 Durch die Hinzufügung des `if`-Befehls haben sich in Level 4 eine Menge Möglichkeiten eröffnet. Deshalb empfehlen wir, zwei Unterrichtseinheiten in Level 4 zu verbringen, bevor Sie mit Level 5 fortfahren. Es bietet den Schülern die Möglichkeit, sich mit den `if`-Konstruktionen wirklich vertraut zu machen, bevor sie zum nächsten Level übergehen. @@ -474,10 +474,10 @@ Wiederholen Sie kurz die vorangegangene Lektion und erinnern Sie sich auch an di #### Anweisung: `if`-Konstruktionen (10 Minuten) Die `if`-Konstruktion ermöglicht es Hedy, auf zwei verschiedene Arten auf die Antworten des Spielers zu reagieren. Demonstrieren Sie das an diesem Beispiel: -``` +<pre> name is Wie heißt du? if name is Hedy print 'Hereinspaziert!' else print 'Zugriff verweigert!' -``` +</pre> #### Machen wir uns an die Arbeit: Die Wahrsagerin (20 Minuten) Die Schüler können die Aufgabe der Wahrsagerin selbstständig bearbeiten, oder Sie können die Aufgaben Schritt für Schritt gemeinsam mit Ihren Schülern bearbeiten. @@ -540,19 +540,19 @@ Eine gute Möglichkeit, die Stunde zu beginnen, besteht darin, alle verschiedene Mit dem Befehl `repeat` können Sie eine Codezeile mehrfach wiederholen. Um das Lied "Baby Shark" zu programmieren, hätten wir in früheren Levels eine Zeile mehrfach wiederholen müssen: -``` +<pre> print 'Baby Shark tututututudu' print 'Baby Shark tututututudu' print 'Baby Shark tututututudu' print 'Baby Shark' -``` +</pre> Jetzt, mit `repeat`, ist es viel einfacher, Code wie diesen zu erstellen: -``` +<pre> repeat 3 times print 'Baby Shark tututututudu' print 'Baby Shark' -``` +</pre> #### Auf geht's: Hedy die Sängerin! (20 - 30 Minuten) Nach dieser kurzen Einweisung können die Schüler die anderen Lieder in den Übungen selbständig bearbeiten. diff --git a/main/for-teachers-en.md b/main/for-teachers-en.md index 89cf3b46215..cf7b8527bea 100644 --- a/main/for-teachers-en.md +++ b/main/for-teachers-en.md @@ -45,7 +45,7 @@ In My programs you can find all the codes that you've saved. You can save your projects easily by giving your project a name in the white bar and pressing the green button Save Code. -![](RackMultipart20210420-4-19s02r2_html_5657fc35812eb727.png) +<!-- ![](RackMultipart20210420-4-19s02r2_html_5657fc35812eb727.png) --> Let the programming fun begin! @@ -102,18 +102,18 @@ E.g. they program: `print Hello, I'm Hedy` instead of `print Hello I'm Hedy` E.g. They program: -``` +<pre> animals is dog, cat, cow print the best animals are… print animals at random -``` +</pre> Instead they should change the word animals in the second line into something other than animals. For example: -``` +<pre> animals is dog, cat, cow print the best animal is… print animals at random -``` +</pre> ### Frequently made mistakes in level 3 @@ -130,77 +130,77 @@ These are the frequently made mistakes by students in level 4: - Mistake: Students put else on the next line, but it should be in the same line as the if command. Code: -``` +<pre> if name is Hedy print 'nice' else print 'boo!' -``` +</pre> Solution: Else should be in the same line as if. -``` +<pre> if name is Hedy print 'nice' else print 'boo!' -``` +</pre> - Mistake: Students use apostrophes after a print command. -``` +<pre> print 'I'm Hedy' -``` +</pre> Solution: Don't use apostrophes. -``` +<pre> print 'Im Hedy' -``` +</pre> - Mistake: Students forget to use the print command when using an if command. -``` +<pre> if name is Hedy 'nice' else 'boo!' -``` +</pre> Solution: Use print twice when using both if and else. -``` +<pre> if name is Hedy print 'nice' else print 'boo!' -``` +</pre> - Mistake: Students use different names for the same variable. -``` +<pre> horse is ask What is your horse called? if me is Bonfire print 'nice' else print 'boo!' -``` +</pre> Solution: Always use the same name for your variable (also check whether the variable name is singular or plural (answer/answers)). -``` +<pre> horse is ask what is your horse called? if horse is Bonfire print 'nice' else print 'boo!' -``` +</pre> - Mistake: Students forget to type both of the quotation marks after print, when using if and else. -``` +<pre> if name is Hedy print nice else print 'boo! -``` +</pre> Solution: Always use two quotation marks (both in front of and behind the text) for each print command in your code. -``` +<pre> if name is Hedy print 'nice' else print 'boo!' -``` +</pre> - Mistake: Students use quotation marks around a variable. -``` +<pre> if 'name' is 'Hedy' print 'nice' else print 'boo!' -``` +</pre> Solution: Don't use quotation marks around a variable. -``` +<pre> if name is Hedy print 'nice' else print 'boo!' -``` +</pre> - Mistake: Students give names to variables that consist of multiple words. -``` +<pre> Chosen door is ask Which door do you choose? -``` +</pre> Solution: A variable name should always just be one word. -``` +<pre> chosendoor is ask Which door do you choose? -``` +</pre> - Mistake: Students want multiple answers to be correct, when using if. -``` +<pre> if name is Jesse, David, Souf print 'you are funny' else print 'you are not funny' -``` +</pre> Solution: Unfortunately, this is not allowed. You can only pick one name for each if command. On the other hand, you can use multiple if commands in one code, like the example beneath: -``` +<pre> name is ask What is your name? if name is Jesse print 'you are funny' @@ -208,17 +208,17 @@ if name is Jesse print 'you are funny' if name is David print 'you are funny' if name is Souf print 'you are funny' -``` +</pre> - Mistake: Students give the same answer in ask as the variable name. For example this student made the password 'password'. -``` +<pre> password is ask What is the secret password? If password is password print 'You can enter!' else print 'Access denied!' -``` +</pre> Solution: Choose a different name for the variable. -``` +<pre> secretpassword is ask What is the secret password? If secretpassword is password print 'You can enter!' else print 'Access denied!' -``` +</pre> ### Frequently made mistakes in level 5 diff --git a/main/for-teachers-id.md b/main/for-teachers-id.md index 923660dd84b..ac8a745711a 100644 --- a/main/for-teachers-id.md +++ b/main/for-teachers-id.md @@ -102,18 +102,18 @@ Misal mereka menulis`print Halo, aku Hedy` instead of `print Halo aku Hedy` Misal mereka menulis: -``` +<pre> hewan is anjing, kucing, sapi print hewan terbaik adalah… print hewan at random -``` +</pre> Seharusnya mereka mengganti kata hewan di baris kedua menjadi kata lain misalnya: -``` +<pre> hewan is anjing, kucing, sapi print binatang terbaik adalah… print hewan at random -``` +</pre> ### Kesalahan-kesalahan yang sering terjadi di level 3 @@ -130,77 +130,77 @@ Berikut adalah kesalahan-kesalahan yang sering dilakukan para siswa pada level 4 - Kesalahan: Siswa menuliskan `else` di baris berikutnya, walaupun itu seharusnya satu baris dengan perintah `if` Kode: -``` +<pre> if nama is Hedy print 'bagus' else print 'huu!' -``` +</pre> Solusi: `else` harus berada di baris yang sama dengan if. -``` +<pre> if nama is Hedy print 'bagus' else print 'huu!' -``` +</pre> - Kesalahan: Siswa menggunakan kutip satu di dalam teks yang akan ditampilkan `print`. -``` +<pre> print 'Aku Hedy pernah belajar 'Python'' -``` +</pre> Solusi: Jangan menggunakan kutip satu dalam teks yang akan ditampilkan. -``` +<pre> print 'Aku Hedy pernah belajar Python' -``` +</pre> - Kesalahan: Siswa lupa menggunakan perintah `print` ketika sedang menggunakan perintah `if`. -``` +<pre> if nama is Hedy 'bagus' else 'huu!' -``` +</pre> Solusi: Gunakan `print` setiap kali menampilkan teks didalam perintah `if`. -``` +<pre> if nama is Hedy print 'bagus' else print 'huu!' -``` +</pre> - Kesalahan: Siswa menggunakan nama yang berbeda untuk sebuah variabel. -``` +<pre> kuda is ask Apa nama kuda kamu? if aku is api print 'bagus' else print 'huu!' -``` +</pre> Solusi: Selalu gunakan nama yang sama untuk variabel (cek juga apakah variabelnya menggunakan penulisan yang sama, misal 'nama' dan 'name'). -``` +<pre> kuda is ask Apa nama kuda kamu? if kuda is api print 'bagus' else print 'huu!' -``` +</pre> - Kesalahan: Siswa lupa menuliskan kutip satu pembuka dan penutup pada teks yang akan ditampilkan perintah `print`, ketika menggunakan perintah `if` dan `else`. -``` +<pre> if nama is Hedy print bagus else print 'huu! -``` +</pre> Solusi: Selalu gunakan dua tanda kutip (awal dan akhir teks) untuk setiap perintah `print` di kode. -``` +<pre> if name is Hedy print 'nice' else print 'boo!' -``` +</pre> - Kesalahan: Siswa menggunakan kutip satu untuk nama variabel. -``` +<pre> if 'name' is 'Hedy' print 'nice' else print 'boo!' -``` +</pre> Solusi: Jangan gunakan kutip satu untuk nama variabel. -``` +<pre> if nama is Hedy print 'bagus' else print 'huu!' -``` +</pre> - Kesalahan: Siswa memberikan nama lebih dari satu kata untuk sebuah variabel (termasuk menggunakan tanda penghubung). -``` +<pre> pintu terpilih is ask Pintu mana yang mau kamu pilih? -``` +</pre> Solusi: Variabel harus diberi nama satu kata dan tidak menggunakan tanda penghubung -``` +<pre> pintuterpilih is ask Pintu mana yang mau kamu pilih? -``` +</pre> - Kesalahan: Siswa menginginkan beberapa jawaban sebagai jawaban benar, ketika menggunakan `if`. -``` +<pre> if nama is Jesse, David, Souf print 'kamu lucu' else print 'kamu tidak lucu' -``` +</pre> Solusi: Sayangnya, hal ini tidak dimungkinkan. Kamu hanya bisa memilih satu nama untuk setiap perintah `if`. Sebagai alternatif, kamu dapat menggunakan beberapa perintah `if` seperti berikut: -``` +<pre> nama is ask Siapa nama kamu? if nama is Jesse print 'kamu lucu' @@ -208,17 +208,17 @@ if nama is Jesse print 'kamu lucu' if nama is David print 'kamu lucu' if nama is Souf print 'kamu lucu' -``` +</pre> - Kesalahan: Siswa memberikan jawaban di perintah 'ask' yang sama dengan nama variabel. Sebagai contoh siswa ini membuat passwordnya 'password'. -``` +<pre> password is ask Apa password rahasianya? If password is password print 'Kamu bisa masuk!' else print 'Akses ditolak!' -``` +</pre> Solusi: Pilih nama yang berbeda untuk variabel. -``` +<pre> passwordrahasia is ask Apa password rahasianya? If passwordrahasia is password print 'Kamu bisa masuk!' else print 'Akses ditolak!' -``` +</pre> ### Kesalahan-kesalahan yang sering terjadi di level 5 diff --git a/main/for-teachers-nl.md b/main/for-teachers-nl.md index bff8cbece48..33bd4eed74c 100644 --- a/main/for-teachers-nl.md +++ b/main/for-teachers-nl.md @@ -50,7 +50,7 @@ Bij mijn programma's vind je alle codes terug die je hebt opgeslagen. Je kunt je projecten simpel opslaan door je project een naam te geven in het witte balkje en dan op de groene knop Code opslaan ernaast te klikken. -![](RackMultipart20210420-4-19s02r2_html_5657fc35812eb727.png) +<!-- ![](RackMultipart20210420-4-19s02r2_html_5657fc35812eb727.png) --> Veel programmeer plezier! @@ -109,17 +109,17 @@ Bijvoorbeeld: `dieren is hond kat` oplossing: `dieren is hond, kat` Bijvoorbeeld: `print Hallo, ik ben Hedy.` oplossing: `print Hallo ik ben Hedy` - Leerlingen gebruiken de naam van hun variabele ook als woord in een print commando, maar dat kan pas vanaf level 3. Bijvoorbeeld: -``` +<pre> dier is hond, kat, koe print Het leukste dier is… print dier at random -``` +</pre> In regel 2 van deze code staat het woord dier, terwijl dat ook de naam van de variabele is. Los dit op door de variabele een andere naam te geven, bijvoorbeeld: -``` +<pre> dieren is hond, kat, koe print Het leukste dier is... print dieren at random -``` +</pre> ### Veelgemaakte fouten in level 3 @@ -132,17 +132,17 @@ Bijvoorbeeld: `print 'Hallo ` Oplossing: `print 'Hallo'` - Leerlingen vergeten dat ook bij ask aanhalingstekens gebruikt moeten worden. Bijvoorbeeld: `naam is ask Hoe heet je?` oplossing `naam is ask 'Hoe heet je?'` - Leerlingen gebruiken hoge komma's na een print commando. Bijvoorbeeld: -``` +<pre> print 'Er lopen twee oma's door het park' -``` +</pre> Oplossing: Gebruik de andere hoge komma (naast de 1 toets met het ~) -``` +<pre> print 'Er lopen twee oma`s door het park' -``` +</pre> Oplossing 2: Gebruik geen hoge komma en spel het woord fout. -``` +<pre> print 'Er lopen twee omas door het park' -``` +</pre> ### Veelgemaakte fouten in level 4 @@ -150,67 +150,67 @@ In level 4 zijn dit veelgemaakte fouten door de leerlingen: - Fout: Leerlingen vergeten het woord print bij een if commando. -``` +<pre> if naam is Hedy 'leuk' else 'minder leuk!' -``` +</pre> Oplossing: gebruik twee keer een print commando na een if commando -``` +<pre> if naam is Hedy print 'leuk' else print 'minder leuk!' -``` +</pre> - Fout: Leerlingen gebruiken twee verschillende namen voor dezelfde variabele. -``` +<pre> paard is ask 'Hoe heet jouw paard?' if naam is Bonfire print 'leuk' else print 'minder leuk!' -``` +</pre> Oplossing: Gebruik altijd dezelfde naam voor een variabele. Controleer ook of de variabelenaam enkelvoud of meervoud is, daar lees je gemakkelijk overheen (antwoord/antwoorden). -``` +<pre> paard is ask 'Hoe heet jouw paard?' if paard is Bonfire print 'leuk' else print 'minder leuk!' -``` +</pre> - Fout: Leerlingen vergeten beide aanhalingstekens bij de print commando's. -``` +<pre> if naam is Hedy print leuk else print 'minder leuk! -``` +</pre> Oplossing: Gebruik altijd twee aanhalingstekens per printcommando, een vooraan en een achteraan. -``` +<pre> if naam is Hedy print 'leuk' else print 'minder leuk!' -``` +</pre> - Fout: Leerlingen gebruiken aanhalingstekens rond de naam van de variabele. -``` +<pre> if 'naam' is 'Hedy' print 'leuk' else print 'minder leuk!' -``` +</pre> Oplossing: rond een variabele moeten geen aanhalingstekens. -``` +<pre> if naam is Hedy print 'leuk' else print 'minder leuk!' -``` +</pre> - Fout: Leerlingen geven variabelen namen met meerdere woorden. -``` +<pre> gekozen deur is ask 'Welke deur kies jij?' -``` +</pre> Oplossing: Een variabelenaam mag maar een woord zijn. -``` +<pre> gekozendeur is ask 'Welke deur kies jij?' -``` +</pre> - Fout: Leerlingen willen dat bij de if meerdere antwoorden goed zijn. -``` +<pre> if naam is Jesse, David, Souf print 'jij bent grappig' else print 'jij bent niet grappig' -``` +</pre> Oplossing: Dit mag helaas niet, je mag maar een naam kiezen per if commando. Je kunt wel meerdere if commando's toevoegen zoals het voorbeeld hieronder: -``` +<pre> naam is ask hoe heet jij? if naam is Jesse print 'leuk' @@ -218,38 +218,38 @@ if naam is Jesse print 'leuk' if naam is David print 'leuk' if naam is Souf print 'leuk' -``` +</pre> Alternatieve oplossing: Je kunt ook een lijstje maken met vrienden en Hedy laten controleren of het antwoord in het lijstje staat met in. -``` +<pre> vrienden is Jesse, David, Souf naam is ask 'Wie ben jij?' if naam in vrienden print 'leuk' else print 'minder leuk' -``` +</pre> - Fout: De leerlingen vullen bij ask hetzelfde in als bij de variabelenaam, dus de variabele wordt de zelfde waarde als de variabelenaam. In het voorbeeld hieronder was bijvoorbeeld het wachtwoord 'wachtwoord' -``` +<pre> wachtwoord is ask 'Wat is het wachtwoord?' if wachtwoord is wachtwoord print 'Je mag er door!' else print 'Verboden toegang!' -``` +</pre> Oplossing: Kies een andere naam voor je variabele -``` +<pre> geheimwachtwoord is ask 'Wat is het wachtwoord?' if geheimwachtwoord is wachtwoord print 'Je mag er door!' else print 'Verboden toegang!' -``` +</pre> - Fout: Leerlingen gebruiken hoge komma's na een print commando. -``` +<pre> print 'Er lopen twee oma's door het park' -``` +</pre> Oplossing: Gebruik de andere hoge komma (naast de 1 toets met het ~) -``` +<pre> print 'Er lopen twee oma`s door het park' -``` +</pre> Oplossing 2: Gebruik geen hoge komma en spel het woord fout. -``` +<pre> print 'Er lopen twee omas door het park' -``` +</pre> ### Veelgemaakte fouten in level 5 diff --git a/templates/for-teachers.html b/templates/for-teachers.html index f7ce7781e0b..38d408ed5e9 100644 --- a/templates/for-teachers.html +++ b/templates/for-teachers.html @@ -1,7 +1,7 @@ {% extends "auth.html" %} {% block main %} -<div id="teacher_classes" class="pl-8"> +<div id="teacher_classes" class="flex flex-col items-center pb-4 border-b-2"> <h2>{{auth.teacher_classes}}</h2> <table class="table-auto border-separate space-y-6 border border-black mt-4 mb-4"> <thead class="bg-gray-200"> @@ -16,31 +16,41 @@ <h2>{{auth.teacher_classes}}</h2> {% endfor %} </tbody> </table> - <br> - <button class="green-btn" onclick="hedyApp.create_class ()">{{auth.create_class}}</button> - <br><br><br> + <button class="green-btn mt-4" onclick="hedyApp.create_class ()">{{auth.create_class}}</button> </div> -<div class="px-8"> - <h1>Hedy docs</h1> - <div class="markdown"> - <a class="github-fork-ribbon left-top" href="https://github.com/felienne/hedy" data-ribbon="Fork me on GitHub" title="Fork me on GitHub">Fork me on GitHub</a> - {% for section in sections %} - {# Always show the first section #} - {% if loop.index == 1 %} - <h2 class="underline">{{section.title}}</h2> - <div class="turn-pre-into-ace">{{section.content|safe}}</div> - {% else %} - <h2 class="underline cursor-pointer" onclick="showSection ({{loop.index}})">{{section.title}}</h2> - <div class="section hidden turn-pre-into-ace" id="section-{{loop.index}}">{{section.content|safe}}</div> - {% endif %} - {% endfor %} - </div> +<div class="w-full text-center mt-4"> +<h2>Hedy Docs</h2> +<div class="mb-4">{{sections[0].content|safe}}</div> +<div class="flex flex-row justify-center mb-4 pb-4 border-b-2"> +{% for section in sections[1:] %} + <button class="green-btn text-xl m-2 p-4 section-button" id="button-{{loop.index}}" onclick="showSection ({{loop.index}})">{{section.title}}</button> +{% endfor %} </div> +</div> +{% for section in sections[1:] %} + <div class="section hidden turn-pre-into-ace" id="section-{{loop.index}}">{{section.content|safe}}</div> +{% endfor %} + <script> var showSection = function (index) { - if ($ ('#section-' + index).is (':visible')) return $ ('.section').hide (); + $(".section-button").each(function(){ + if ($(this).hasClass('blue-btn')) { + $(this).removeClass("blue-btn"); + $(this).addClass("green-btn"); + } + }); + if ($ ('#section-' + index).is (':visible')) { + $("#button-" + index).removeClass("blue-btn"); + $("#button-" + index).addClass("green-btn"); + return $ ('.section').hide (); + } + $("#button-" + index).removeClass("green-btn"); + $("#button-" + index).addClass("blue-btn"); $ ('.section').hide (); $ ('#section-' + index).slideToggle (400); + $('html, body').animate({ + scrollTop: $ ('#section-' + index).offset().top + }, 2000); } </script> {% endblock %}
Replace parts of 'for teachers' page with this presentation I've made a presentation to make the teacher page look better. This page can be embedded into the English for teachers page. This presentation can replace : For teachers — Hedy, Introduction Hedy, Preparations and Teaching with Hedy. **MIND**: The frequently made mistakes should stay on the page as is, because have not found a proper way to make it look better and still be as handy. MIND: The 'My classes' feature should - of course- also stay on this page. Here is the link to the presentation: https://view.genial.ly/61680ae0e003960dea8a5e8b/interactive-content-teacher-manual-hedy And here is the code for embedding it: iframe: <div style="width: 100%;"><div style="position: relative; padding-bottom: 56.25%; padding-top: 0; height: 0;"><iframe frameborder="0" width="1200" height="675" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;" src="https://view.genial.ly/61680ae0e003960dea8a5e8b" type="text/html" allowscriptaccess="always" allowfullscreen="true" scrolling="yes" allownetworking="all"></iframe> </div> </div> script: <div class="container-wrapper-genially" style="position: relative; min-height: 400px; max-width: 100%;"><video class="loader-genially" autoplay="autoplay" loop="loop" playsinline="playsInline" muted="muted" style="position: absolute;top: 45%;left: 50%;transform: translate(-50%, -50%);width: 80px;height: 80px;margin-bottom: 10%"><source src="https://static.genial.ly/resources/panel-loader-low.mp4" type="video/mp4" />Your browser does not support the video tag.</video><div id="61680ae0e003960dea8a5e8b" class="genially-embed" style="margin: 0px auto; position: relative; height: auto; width: 100%;"></div></div><script>(function (d) { var js, id = "genially-embed-js", ref = d.getElementsByTagName("script")[0]; if (d.getElementById(id)) { return; } js = d.createElement("script"); js.id = id; js.async = true; js.src = "https://view.genial.ly/static/embed/embed.js"; ref.parentNode.insertBefore(js, ref); }(document));</script> Replace parts of 'for teachers' page with this presentation I've made a presentation to make the teacher page look better. This page can be embedded into the English for teachers page. This presentation can replace : For teachers — Hedy, Introduction Hedy, Preparations and Teaching with Hedy. **MIND**: The frequently made mistakes should stay on the page as is, because have not found a proper way to make it look better and still be as handy. MIND: The 'My classes' feature should - of course- also stay on this page. Here is the link to the presentation: https://view.genial.ly/61680ae0e003960dea8a5e8b/interactive-content-teacher-manual-hedy And here is the code for embedding it: iframe: <div style="width: 100%;"><div style="position: relative; padding-bottom: 56.25%; padding-top: 0; height: 0;"><iframe frameborder="0" width="1200" height="675" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;" src="https://view.genial.ly/61680ae0e003960dea8a5e8b" type="text/html" allowscriptaccess="always" allowfullscreen="true" scrolling="yes" allownetworking="all"></iframe> </div> </div> script: <div class="container-wrapper-genially" style="position: relative; min-height: 400px; max-width: 100%;"><video class="loader-genially" autoplay="autoplay" loop="loop" playsinline="playsInline" muted="muted" style="position: absolute;top: 45%;left: 50%;transform: translate(-50%, -50%);width: 80px;height: 80px;margin-bottom: 10%"><source src="https://static.genial.ly/resources/panel-loader-low.mp4" type="video/mp4" />Your browser does not support the video tag.</video><div id="61680ae0e003960dea8a5e8b" class="genially-embed" style="margin: 0px auto; position: relative; height: auto; width: 100%;"></div></div><script>(function (d) { var js, id = "genially-embed-js", ref = d.getElementsByTagName("script")[0]; if (d.getElementById(id)) { return; } js = d.createElement("script"); js.id = id; js.async = true; js.src = "https://view.genial.ly/static/embed/embed.js"; ref.parentNode.insertBefore(js, ref); }(document));</script>
Lightning-AI__torchmetrics-810
[ { "content": "#!/usr/bin/env python\nimport glob\nimport os\nfrom functools import partial\nfrom importlib.util import module_from_spec, spec_from_file_location\nfrom typing import Tuple\n\nfrom setuptools import find_packages, setup\n\n_PATH_ROOT = os.path.realpath(os.path.dirname(__file__))\n_PATH_REQUIRE = os.path.join(_PATH_ROOT, \"requirements\")\n\n\ndef _load_py_module(fname, pkg=\"torchmetrics\"):\n spec = spec_from_file_location(os.path.join(pkg, fname), os.path.join(_PATH_ROOT, pkg, fname))\n py = module_from_spec(spec)\n spec.loader.exec_module(py)\n return py\n\n\nabout = _load_py_module(\"__about__.py\")\nsetup_tools = _load_py_module(\"setup_tools.py\")\nlong_description = setup_tools._load_readme_description(\n _PATH_ROOT,\n homepage=about.__homepage__,\n version=f\"v{about.__version__}\",\n)\n\n\nBASE_REQUIREMENTS = setup_tools._load_requirements(path_dir=_PATH_ROOT, file_name=\"requirements.txt\")\n\n\ndef _prepare_extras(skip_files: Tuple[str] = (\"devel.txt\")):\n # find all extra requirements\n _load_req = partial(setup_tools._load_requirements, path_dir=_PATH_REQUIRE)\n found_req_files = sorted(os.path.basename(p) for p in glob.glob(os.path.join(_PATH_REQUIRE, \"*.txt\")))\n # filter unwanted files\n found_req_files = [n for n in found_req_files if n not in skip_files]\n found_req_names = [os.path.splitext(req)[0] for req in found_req_files]\n # define basic and extra extras\n extras_req = {\n name: _load_req(file_name=fname) for name, fname in zip(found_req_names, found_req_files) if \"_test\" not in name\n }\n for name, fname in zip(found_req_names, found_req_files):\n if \"_test\" in name:\n extras_req[\"test\"] += _load_req(file_name=fname)\n # filter the uniques\n extras_req = {n: list(set(req)) for n, req in extras_req.items()}\n # create an 'all' keyword that install all possible denpendencies\n extras_req[\"all\"] = [pkg for reqs in extras_req.values() for pkg in reqs]\n return extras_req\n\n\n# https://packaging.python.org/discussions/install-requires-vs-requirements /\n# keep the meta-data here for simplicity in reading this file... it's not obvious\n# what happens and to non-engineers they won't know to look in init ...\n# the goal of the project is simplicity for researchers, don't want to add too much\n# engineer specific practices\nsetup(\n name=\"torchmetrics\",\n version=about.__version__,\n description=about.__docs__,\n author=about.__author__,\n author_email=about.__author_email__,\n url=about.__homepage__,\n download_url=os.path.join(about.__homepage__, \"archive\", \"master.zip\"),\n license=about.__license__,\n packages=find_packages(exclude=[\"tests\", \"tests.*\", \"docs\"]),\n long_description=long_description,\n long_description_content_type=\"text/markdown\",\n include_package_data=True,\n zip_safe=False,\n keywords=[\"deep learning\", \"machine learning\", \"pytorch\", \"metrics\", \"AI\"],\n python_requires=\">=3.6\",\n setup_requires=[],\n install_requires=BASE_REQUIREMENTS,\n extras_require=_prepare_extras(),\n project_urls={\n \"Bug Tracker\": os.path.join(about.__homepage__, \"issues\"),\n \"Documentation\": \"https://torchmetrics.rtfd.io/en/latest/\",\n \"Source Code\": about.__homepage__,\n },\n classifiers=[\n \"Environment :: Console\",\n \"Natural Language :: English\",\n # How mature is this project? Common values are\n # 3 - Alpha, 4 - Beta, 5 - Production/Stable\n \"Development Status :: 5 - Production/Stable\",\n # Indicate who your project is intended for\n \"Intended Audience :: Developers\",\n \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n \"Topic :: Scientific/Engineering :: Image Recognition\",\n \"Topic :: Scientific/Engineering :: Information Analysis\",\n # Pick your license as you wish\n \"License :: OSI Approved :: Apache Software License\",\n \"Operating System :: OS Independent\",\n # Specify the Python versions you support here. In particular, ensure\n # that you indicate whether you support Python 2, Python 3 or both.\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Programming Language :: Python :: 3.10\",\n ],\n)\n", "path": "setup.py" } ]
[ { "content": "#!/usr/bin/env python\nimport glob\nimport os\nfrom functools import partial\nfrom importlib.util import module_from_spec, spec_from_file_location\nfrom typing import Tuple\n\nfrom setuptools import find_packages, setup\n\n_PATH_ROOT = os.path.realpath(os.path.dirname(__file__))\n_PATH_REQUIRE = os.path.join(_PATH_ROOT, \"requirements\")\n\n\ndef _load_py_module(fname, pkg=\"torchmetrics\"):\n spec = spec_from_file_location(os.path.join(pkg, fname), os.path.join(_PATH_ROOT, pkg, fname))\n py = module_from_spec(spec)\n spec.loader.exec_module(py)\n return py\n\n\nabout = _load_py_module(\"__about__.py\")\nsetup_tools = _load_py_module(\"setup_tools.py\")\nlong_description = setup_tools._load_readme_description(\n _PATH_ROOT,\n homepage=about.__homepage__,\n version=f\"v{about.__version__}\",\n)\n\n\nBASE_REQUIREMENTS = setup_tools._load_requirements(path_dir=_PATH_ROOT, file_name=\"requirements.txt\")\n\n\ndef _prepare_extras(skip_files: Tuple[str] = (\"devel.txt\")):\n # find all extra requirements\n _load_req = partial(setup_tools._load_requirements, path_dir=_PATH_REQUIRE)\n found_req_files = sorted(os.path.basename(p) for p in glob.glob(os.path.join(_PATH_REQUIRE, \"*.txt\")))\n # filter unwanted files\n found_req_files = [n for n in found_req_files if n not in skip_files]\n found_req_names = [os.path.splitext(req)[0] for req in found_req_files]\n # define basic and extra extras\n extras_req = {\n name: _load_req(file_name=fname) for name, fname in zip(found_req_names, found_req_files) if \"_test\" not in name\n }\n for name, fname in zip(found_req_names, found_req_files):\n if \"_test\" in name:\n extras_req[\"test\"] += _load_req(file_name=fname)\n # filter the uniques\n extras_req = {n: list(set(req)) for n, req in extras_req.items()}\n # create an 'all' keyword that install all possible denpendencies\n extras_req[\"all\"] = [pkg for reqs in extras_req.values() for pkg in reqs]\n return extras_req\n\n\n# https://packaging.python.org/discussions/install-requires-vs-requirements /\n# keep the meta-data here for simplicity in reading this file... it's not obvious\n# what happens and to non-engineers they won't know to look in init ...\n# the goal of the project is simplicity for researchers, don't want to add too much\n# engineer specific practices\nsetup(\n name=\"torchmetrics\",\n version=about.__version__,\n description=about.__docs__,\n author=about.__author__,\n author_email=about.__author_email__,\n url=about.__homepage__,\n download_url=os.path.join(about.__homepage__, \"archive\", \"master.zip\"),\n license=about.__license__,\n packages=find_packages(exclude=[\"tests\", \"tests.*\", \"docs\"]),\n long_description=long_description,\n long_description_content_type=\"text/markdown\",\n include_package_data=True,\n zip_safe=False,\n keywords=[\"deep learning\", \"machine learning\", \"pytorch\", \"metrics\", \"AI\"],\n python_requires=\">=3.6\",\n setup_requires=[],\n install_requires=BASE_REQUIREMENTS,\n extras_require=_prepare_extras(),\n project_urls={\n \"Bug Tracker\": os.path.join(about.__homepage__, \"issues\"),\n \"Documentation\": \"https://torchmetrics.rtfd.io/en/latest/\",\n \"Source Code\": about.__homepage__,\n },\n classifiers=[\n \"Environment :: Console\",\n \"Natural Language :: English\",\n # How mature is this project? Common values are\n # 3 - Alpha, 4 - Beta, 5 - Production/Stable\n \"Development Status :: 5 - Production/Stable\",\n # Indicate who your project is intended for\n \"Intended Audience :: Developers\",\n \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n \"Topic :: Scientific/Engineering :: Image Recognition\",\n \"Topic :: Scientific/Engineering :: Information Analysis\",\n # Pick your license as you wish\n \"License :: OSI Approved :: Apache Software License\",\n \"Operating System :: OS Independent\",\n # Specify the Python versions you support here. In particular, ensure\n # that you indicate whether you support Python 2, Python 3 or both.\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n ],\n)\n", "path": "setup.py" } ]
diff --git a/docs/source/pages/quickstart.rst b/docs/source/pages/quickstart.rst index 457aad35b92..69a387bb4b9 100644 --- a/docs/source/pages/quickstart.rst +++ b/docs/source/pages/quickstart.rst @@ -28,6 +28,19 @@ You can install TorchMetrics using pip or conda: # Conda conda install -c conda-forge torchmetrics +Eventually if there is a missing PyTorch wheel for your OS or Python version you can simply compile `PyTorch from source <https://github.com/pytorch/pytorch>`_: + +.. code-block:: bash + + # Optional if you do not need compile GPU support + export USE_CUDA=0 # just to keep it simple + # you can install the latest state from master + pip install git+https://github.com/pytorch/pytorch.git + # OR set a particular PyTorch release + pip install git+https://github.com/pytorch/pytorch.git@<release-tag> + # and finalize with installing TorchMetrics + pip install torchmetrics + Using TorchMetrics ****************** diff --git a/setup.py b/setup.py index 56e020222bd..7695e3820f4 100755 --- a/setup.py +++ b/setup.py @@ -101,6 +101,5 @@ def _prepare_extras(skip_files: Tuple[str] = ("devel.txt")): "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", - "Programming Language :: Python :: 3.10", ], )
pip install failure for Python 3.10 ## 🐛 Bug pip fails to install required dependencies ### To Reproduce Steps to reproduce the behavior: ```shell % python --version Python 3.10.2 % pip freeze % pip install torchmetrics Collecting torchmetrics Using cached torchmetrics-0.7.0-py3-none-any.whl (396 kB) Using cached torchmetrics-0.6.2-py3-none-any.whl (332 kB) Using cached torchmetrics-0.6.1-py3-none-any.whl (332 kB) Using cached torchmetrics-0.6.0-py3-none-any.whl (329 kB) Using cached torchmetrics-0.5.1-py3-none-any.whl (282 kB) Using cached torchmetrics-0.5.0-py3-none-any.whl (272 kB) Using cached torchmetrics-0.4.1-py3-none-any.whl (234 kB) Using cached torchmetrics-0.3.2-py3-none-any.whl (274 kB) Using cached torchmetrics-0.3.1-py3-none-any.whl (271 kB) Using cached torchmetrics-0.3.0-py3-none-any.whl (270 kB) Using cached torchmetrics-0.2.0-py3-none-any.whl (176 kB) ERROR: Cannot install torchmetrics==0.2.0, torchmetrics==0.3.0, torchmetrics==0.3.1, torchmetrics==0.3.2, torchmetrics==0.4.1, torchmetrics==0.5.0, torchmetrics==0.5.1, torchmetrics==0.6.0, torchmetrics==0.6.1, torchmetrics==0.6.2 and torchmetrics==0.7.0 because these package versions have conflicting dependencies. The conflict is caused by: torchmetrics 0.7.0 depends on torch>=1.3.1 torchmetrics 0.6.2 depends on torch>=1.3.1 torchmetrics 0.6.1 depends on torch>=1.3.1 torchmetrics 0.6.0 depends on torch>=1.3.1 torchmetrics 0.5.1 depends on torch>=1.3.1 torchmetrics 0.5.0 depends on torch>=1.3.1 torchmetrics 0.4.1 depends on torch>=1.3.1 torchmetrics 0.3.2 depends on torch>=1.3.1 torchmetrics 0.3.1 depends on torch>=1.3.1 torchmetrics 0.3.0 depends on torch>=1.3.1 torchmetrics 0.2.0 depends on torch>=1.3.1 To fix this you could try to: 1. loosen the range of package versions you've specified 2. remove package versions to allow pip attempt to solve the dependency conflict ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies ``` ### Expected behavior `pip` instals all dependencies itself and then installs `torchmetrics`. ### Environment - PyTorch Version (e.g., 1.0): No - OS (e.g., Linux): Ubuntu 21.10 - How you installed PyTorch (`conda`, `pip`, source): pip - Build command you used (if compiling from source): pip install torchmetrics - Python version: 3.10.2
nextcloud__appstore-89
[ { "content": "from django.conf import settings # type: ignore\nfrom django.contrib.auth.models import User # type: ignore\nfrom django.db.models import ManyToManyField, ForeignKey, \\\n URLField, IntegerField, CharField, CASCADE, TextField, \\\n DateTimeField, Model, BooleanField # type: ignore\nfrom django.utils.translation import ugettext_lazy as _ # type: ignore\nfrom parler.models import TranslatedFields, TranslatableModel # type: ignore\n\n\nclass App(TranslatableModel):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_('app id, identical to folder name'))\n categories = ManyToManyField('Category', verbose_name=_('Category'))\n translations = TranslatedFields(\n name=CharField(max_length=128, verbose_name=_('Name'),\n help_text=_('Rendered app name for users')),\n description=TextField(verbose_name=_('Description'), help_text=_(\n 'Will be rendered as Markdown'))\n )\n # resources\n user_docs = URLField(max_length=256, blank=True,\n verbose_name=_('User documentation url'))\n admin_docs = URLField(max_length=256, blank=True,\n verbose_name=_('Admin documentation url'))\n developer_docs = URLField(max_length=256, blank=True,\n verbose_name=_('Developer documentation url'))\n issue_tracker = URLField(max_length=256, blank=True,\n verbose_name=_('Issue tracker url'))\n website = URLField(max_length=256, blank=True, verbose_name=_('Homepage'))\n created = DateTimeField(auto_now_add=True, editable=False,\n verbose_name=_('Created at'))\n last_modified = DateTimeField(auto_now=True, editable=False, db_index=True,\n verbose_name=_('Updated at'))\n owner = ForeignKey(settings.AUTH_USER_MODEL, verbose_name=_('App owner'),\n on_delete=CASCADE, related_name='owned_apps')\n co_maintainers = ManyToManyField(settings.AUTH_USER_MODEL, blank=True,\n verbose_name=_('Co-Maintainers'),\n related_name='co_maintained_apps')\n recommendations = ManyToManyField(settings.AUTH_USER_MODEL, blank=True,\n verbose_name=_('Recommendations'),\n related_name='recommended_apps')\n featured = BooleanField(verbose_name=_('Featured'), default=False)\n\n class Meta:\n verbose_name = _('App')\n verbose_name_plural = _('Apps')\n\n def __str__(self) -> str:\n return self.name\n\n def can_update(self, user: User) -> bool:\n return self.owner == user or user in self.co_maintainers.all()\n\n def can_delete(self, user: User) -> bool:\n return self.owner == user\n\n\nclass AppRelease(Model):\n version = CharField(max_length=128, verbose_name=_('Version'),\n help_text=_('Version follows Semantic Versioning'))\n app = ForeignKey('App', on_delete=CASCADE, verbose_name=_('App'),\n related_name='releases')\n # dependencies\n php_extensions = ManyToManyField('PhpExtension', blank=True,\n through='PhpExtensionDependency',\n verbose_name=_(\n 'PHP extension dependency'))\n databases = ManyToManyField('Database', blank=True,\n through='DatabaseDependency',\n verbose_name=_('Database dependency'))\n licenses = ManyToManyField('License', verbose_name=_('License'))\n shell_commands = ManyToManyField('ShellCommand', blank=True,\n verbose_name=_(\n 'Shell command dependency'))\n php_version_spec = CharField(max_length=128,\n verbose_name=_('PHP version requirement'))\n platform_version_spec = CharField(max_length=128, verbose_name=_(\n 'Platform version requirement'))\n min_int_size = IntegerField(blank=True, default=32,\n verbose_name=_('Minimum Integer Bits'),\n help_text=_('e.g. 32 for 32bit Integers'))\n checksum = CharField(max_length=64, verbose_name=_('SHA256 checksum'))\n download = URLField(max_length=256, blank=True,\n verbose_name=_('Archive download Url'))\n created = DateTimeField(auto_now_add=True, editable=False,\n verbose_name=_('Created at'))\n last_modified = DateTimeField(auto_now=True, editable=False, db_index=True,\n verbose_name=_('Updated at'))\n\n class Meta:\n verbose_name = _('App Release')\n verbose_name_plural = _('App Releases')\n unique_together = (('app', 'version'),)\n ordering = ['-version']\n\n def can_update(self, user: User) -> bool:\n return self.app.owner == user or user in self.app.co_maintainers.all()\n\n def can_delete(self, user: User) -> bool:\n return self.can_update(user)\n\n def __str__(self) -> str:\n return '%s %s' % (self.app, self.version)\n\n\nclass Screenshot(Model):\n url = URLField(max_length=256, verbose_name=_('Image url'))\n app = ForeignKey('App', on_delete=CASCADE, verbose_name=_('App'),\n related_name='screenshots')\n ordering = IntegerField(verbose_name=_('Ordering'))\n\n class Meta:\n verbose_name = _('Screenshot')\n verbose_name_plural = _('Screenshots')\n ordering = ['ordering']\n\n def __str__(self) -> str:\n return self.url\n\n\nclass ShellCommand(Model):\n name = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Shell Command'),\n help_text=_(\n 'Name of a required shell command, e.g. grep'))\n\n class Meta:\n verbose_name = _('Shell Command')\n verbose_name_plural = _('Shell Commands')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass Category(TranslatableModel):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_(\n 'Category id which is used to identify a '\n 'category. Used to identify categories when '\n 'uploading an app'))\n created = DateTimeField(auto_now_add=True, editable=False,\n verbose_name=_('Created at'))\n last_modified = DateTimeField(auto_now=True, editable=False, db_index=True,\n verbose_name=_('Updated at'))\n translations = TranslatedFields(\n name=CharField(max_length=128, help_text=_(\n 'Category name which will be presented to the user'),\n verbose_name=_('Name')),\n description=TextField(verbose_name=_('Description'),\n help_text=_('Will be rendered as Markdown'))\n )\n\n class Meta:\n verbose_name = _('Category')\n verbose_name_plural = _('Categories')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass License(Model):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_(\n 'Key which is used to identify a license'))\n name = CharField(max_length=128, verbose_name=_('Name'),\n help_text=_(\n 'License name which will be presented to '\n 'the user'))\n\n class Meta:\n verbose_name = _('License')\n verbose_name_plural = _('Licenses')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass Database(Model):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_('Key which is used to identify a database'))\n name = CharField(max_length=128, verbose_name=_('Name'),\n help_text=_(\n 'Database name which will be presented to the user'))\n\n class Meta:\n verbose_name = _('Database')\n verbose_name_plural = _('Databases')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass DatabaseDependency(Model):\n app_release = ForeignKey('AppRelease', on_delete=CASCADE,\n verbose_name=_('App release'),\n related_name='databasedependencies')\n database = ForeignKey('Database', related_name='releasedependencies',\n on_delete=CASCADE, verbose_name=_('Database'))\n version_spec = CharField(max_length=128,\n verbose_name=_('Database version requirement'))\n\n class Meta:\n verbose_name = _('Database Dependency')\n verbose_name_plural = _('Database Dependencies')\n unique_together = (('app_release', 'database', 'version_spec'),)\n\n def __str__(self) -> str:\n return '%s: %s %s' % (self.app_release, self.database,\n self.version_spec)\n\n\nclass PhpExtension(Model):\n id = CharField(max_length=128, unique=True, help_text=_('e.g. libxml'),\n primary_key=True, verbose_name=_('PHP extension'))\n\n class Meta:\n verbose_name = _('PHP Extension')\n verbose_name_plural = _('PHP Extensions')\n\n def __str__(self) -> str:\n return self.id\n\n\nclass PhpExtensionDependency(Model):\n app_release = ForeignKey('AppRelease', on_delete=CASCADE,\n verbose_name=_('App Release'),\n related_name='phpextensiondependencies')\n php_extension = ForeignKey('PhpExtension', on_delete=CASCADE,\n verbose_name=_('PHP Extension'),\n related_name='releasedependencies')\n version_spec = CharField(max_length=128,\n verbose_name=_('Extension version requirement'))\n\n class Meta:\n verbose_name = _('PHP Extension Dependency')\n verbose_name_plural = _('PHP Extension Dependencies')\n unique_together = (('app_release', 'php_extension', 'version_spec'),)\n\n def __str__(self) -> str:\n return '%s: %s %s' % (self.app_release.app, self.php_extension,\n self.version_spec)\n", "path": "nextcloudappstore/core/models.py" } ]
[ { "content": "from django.conf import settings # type: ignore\nfrom django.contrib.auth.models import User # type: ignore\nfrom django.db.models import ManyToManyField, ForeignKey, \\\n URLField, IntegerField, CharField, CASCADE, TextField, \\\n DateTimeField, Model, BooleanField # type: ignore\nfrom django.utils.translation import ugettext_lazy as _ # type: ignore\nfrom parler.models import TranslatedFields, TranslatableModel # type: ignore\n\n\nclass App(TranslatableModel):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_('app id, identical to folder name'))\n categories = ManyToManyField('Category', verbose_name=_('Category'))\n translations = TranslatedFields(\n name=CharField(max_length=128, verbose_name=_('Name'),\n help_text=_('Rendered app name for users')),\n description=TextField(verbose_name=_('Description'), help_text=_(\n 'Will be rendered as Markdown'))\n )\n # resources\n user_docs = URLField(max_length=256, blank=True,\n verbose_name=_('User documentation url'))\n admin_docs = URLField(max_length=256, blank=True,\n verbose_name=_('Admin documentation url'))\n developer_docs = URLField(max_length=256, blank=True,\n verbose_name=_('Developer documentation url'))\n issue_tracker = URLField(max_length=256, blank=True,\n verbose_name=_('Issue tracker url'))\n website = URLField(max_length=256, blank=True, verbose_name=_('Homepage'))\n created = DateTimeField(auto_now_add=True, editable=False,\n verbose_name=_('Created at'))\n last_modified = DateTimeField(auto_now=True, editable=False, db_index=True,\n verbose_name=_('Updated at'))\n owner = ForeignKey(settings.AUTH_USER_MODEL, verbose_name=_('App owner'),\n on_delete=CASCADE, related_name='owned_apps')\n co_maintainers = ManyToManyField(settings.AUTH_USER_MODEL, blank=True,\n verbose_name=_('Co-Maintainers'),\n related_name='co_maintained_apps')\n recommendations = ManyToManyField(settings.AUTH_USER_MODEL, blank=True,\n verbose_name=_('Recommendations'),\n related_name='recommended_apps')\n featured = BooleanField(verbose_name=_('Featured'), default=False)\n\n class Meta:\n verbose_name = _('App')\n verbose_name_plural = _('Apps')\n\n def __str__(self) -> str:\n return self.name\n\n def can_update(self, user: User) -> bool:\n return self.owner == user or user in self.co_maintainers.all()\n\n def can_delete(self, user: User) -> bool:\n return self.owner == user\n\n\nclass AppRelease(Model):\n version = CharField(max_length=128, verbose_name=_('Version'),\n help_text=_('Version follows Semantic Versioning'))\n app = ForeignKey('App', on_delete=CASCADE, verbose_name=_('App'),\n related_name='releases')\n # dependencies\n php_extensions = ManyToManyField('PhpExtension', blank=True,\n through='PhpExtensionDependency',\n verbose_name=_(\n 'PHP extension dependency'))\n databases = ManyToManyField('Database', blank=True,\n through='DatabaseDependency',\n verbose_name=_('Database dependency'))\n licenses = ManyToManyField('License', verbose_name=_('License'))\n shell_commands = ManyToManyField('ShellCommand', blank=True,\n verbose_name=_(\n 'Shell command dependency'))\n php_version_spec = CharField(max_length=128,\n verbose_name=_('PHP version requirement'))\n platform_version_spec = CharField(max_length=128, verbose_name=_(\n 'Platform version requirement'))\n min_int_size = IntegerField(blank=True, default=32,\n verbose_name=_('Minimum Integer Bits'),\n help_text=_('e.g. 32 for 32bit Integers'))\n checksum = CharField(max_length=64, verbose_name=_('SHA256 checksum'))\n download = URLField(max_length=256, blank=True,\n verbose_name=_('Archive download Url'))\n created = DateTimeField(auto_now_add=True, editable=False,\n verbose_name=_('Created at'))\n last_modified = DateTimeField(auto_now=True, editable=False, db_index=True,\n verbose_name=_('Updated at'))\n\n class Meta:\n verbose_name = _('App Release')\n verbose_name_plural = _('App Releases')\n unique_together = (('app', 'version'),)\n ordering = ['-version']\n\n def can_update(self, user: User) -> bool:\n return self.app.owner == user or user in self.app.co_maintainers.all()\n\n def can_delete(self, user: User) -> bool:\n return self.can_update(user)\n\n def __str__(self) -> str:\n return '%s %s' % (self.app, self.version)\n\n\nclass Screenshot(Model):\n url = URLField(max_length=256, verbose_name=_('Image url'))\n app = ForeignKey('App', on_delete=CASCADE, verbose_name=_('App'),\n related_name='screenshots')\n ordering = IntegerField(verbose_name=_('Ordering'))\n\n class Meta:\n verbose_name = _('Screenshot')\n verbose_name_plural = _('Screenshots')\n ordering = ['ordering']\n\n def __str__(self) -> str:\n return self.url\n\n\nclass ShellCommand(Model):\n name = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Shell Command'),\n help_text=_(\n 'Name of a required shell command, e.g. grep'))\n\n class Meta:\n verbose_name = _('Shell Command')\n verbose_name_plural = _('Shell Commands')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass Category(TranslatableModel):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_(\n 'Category id which is used to identify a '\n 'category. Used to identify categories when '\n 'uploading an app'))\n created = DateTimeField(auto_now_add=True, editable=False,\n verbose_name=_('Created at'))\n last_modified = DateTimeField(auto_now=True, editable=False, db_index=True,\n verbose_name=_('Updated at'))\n translations = TranslatedFields(\n name=CharField(max_length=128, help_text=_(\n 'Category name which will be presented to the user'),\n verbose_name=_('Name')),\n description=TextField(verbose_name=_('Description'),\n help_text=_('Will be rendered as Markdown'))\n )\n\n class Meta:\n verbose_name = _('Category')\n verbose_name_plural = _('Categories')\n ordering = ['id']\n\n def __str__(self) -> str:\n return self.name\n\n\nclass License(Model):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_(\n 'Key which is used to identify a license'))\n name = CharField(max_length=128, verbose_name=_('Name'),\n help_text=_(\n 'License name which will be presented to '\n 'the user'))\n\n class Meta:\n verbose_name = _('License')\n verbose_name_plural = _('Licenses')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass Database(Model):\n id = CharField(max_length=128, unique=True, primary_key=True,\n verbose_name=_('Id'),\n help_text=_('Key which is used to identify a database'))\n name = CharField(max_length=128, verbose_name=_('Name'),\n help_text=_(\n 'Database name which will be presented to the user'))\n\n class Meta:\n verbose_name = _('Database')\n verbose_name_plural = _('Databases')\n\n def __str__(self) -> str:\n return self.name\n\n\nclass DatabaseDependency(Model):\n app_release = ForeignKey('AppRelease', on_delete=CASCADE,\n verbose_name=_('App release'),\n related_name='databasedependencies')\n database = ForeignKey('Database', related_name='releasedependencies',\n on_delete=CASCADE, verbose_name=_('Database'))\n version_spec = CharField(max_length=128,\n verbose_name=_('Database version requirement'))\n\n class Meta:\n verbose_name = _('Database Dependency')\n verbose_name_plural = _('Database Dependencies')\n unique_together = (('app_release', 'database', 'version_spec'),)\n\n def __str__(self) -> str:\n return '%s: %s %s' % (self.app_release, self.database,\n self.version_spec)\n\n\nclass PhpExtension(Model):\n id = CharField(max_length=128, unique=True, help_text=_('e.g. libxml'),\n primary_key=True, verbose_name=_('PHP extension'))\n\n class Meta:\n verbose_name = _('PHP Extension')\n verbose_name_plural = _('PHP Extensions')\n\n def __str__(self) -> str:\n return self.id\n\n\nclass PhpExtensionDependency(Model):\n app_release = ForeignKey('AppRelease', on_delete=CASCADE,\n verbose_name=_('App Release'),\n related_name='phpextensiondependencies')\n php_extension = ForeignKey('PhpExtension', on_delete=CASCADE,\n verbose_name=_('PHP Extension'),\n related_name='releasedependencies')\n version_spec = CharField(max_length=128,\n verbose_name=_('Extension version requirement'))\n\n class Meta:\n verbose_name = _('PHP Extension Dependency')\n verbose_name_plural = _('PHP Extension Dependencies')\n unique_together = (('app_release', 'php_extension', 'version_spec'),)\n\n def __str__(self) -> str:\n return '%s: %s %s' % (self.app_release.app, self.php_extension,\n self.version_spec)\n", "path": "nextcloudappstore/core/models.py" } ]
diff --git a/nextcloudappstore/core/api/v1/release/info.xsd b/nextcloudappstore/core/api/v1/release/info.xsd index b3676d7e33e..67d0f4eae68 100644 --- a/nextcloudappstore/core/api/v1/release/info.xsd +++ b/nextcloudappstore/core/api/v1/release/info.xsd @@ -268,10 +268,15 @@ <xs:simpleType name="category"> <xs:restriction base="xs:string"> + <xs:enumeration value="customization"/> + <xs:enumeration value="files"/> + <xs:enumeration value="integration"/> + <xs:enumeration value="monitoring"/> <xs:enumeration value="multimedia"/> - <xs:enumeration value="pim"/> + <xs:enumeration value="office"/> + <xs:enumeration value="organization"/> + <xs:enumeration value="social"/> <xs:enumeration value="tools"/> - <xs:enumeration value="games"/> </xs:restriction> </xs:simpleType> diff --git a/nextcloudappstore/core/fixtures/categories.json b/nextcloudappstore/core/fixtures/categories.json index 7b87f80b439..1b2cb8e226e 100644 --- a/nextcloudappstore/core/fixtures/categories.json +++ b/nextcloudappstore/core/fixtures/categories.json @@ -5,6 +5,7 @@ "fields": { "language_code": "en", "name": "Tools", + "description": "Everything else", "master": "tools" } }, @@ -14,6 +15,7 @@ "fields": { "language_code": "de", "name": "Werkzeuge", + "description": "", "master": "tools" } }, @@ -23,96 +25,140 @@ "fields": { "language_code": "fr", "name": "Outil", + "description": "", "master": "tools" } }, { "model": "core.categorytranslation", - "pk": 4, + "pk": 10, "fields": { "language_code": "en", - "name": "Games", - "master": "games" + "name": "Multimedia", + "description": "Audio, video and picture apps", + "master": "multimedia" } }, { "model": "core.categorytranslation", - "pk": 5, + "pk": 11, "fields": { "language_code": "de", - "name": "Spiele", - "master": "games" + "name": "Multimedia", + "description": "", + "master": "multimedia" } }, { "model": "core.categorytranslation", - "pk": 6, + "pk": 12, "fields": { "language_code": "fr", - "name": "Jeux", - "master": "games" + "name": "Multimedia", + "description": "", + "master": "multimedia" } }, { "model": "core.categorytranslation", - "pk": 7, + "pk": 13, "fields": { "language_code": "en", - "name": "PIM", - "master": "pim" + "name": "Files", + "description": "File mangement and Files app extension apps", + "master": "files" } }, { "model": "core.categorytranslation", - "pk": 8, + "pk": 14, "fields": { - "language_code": "de", - "name": "PIM", - "master": "pim" + "language_code": "en", + "name": "Office & text", + "description": "Office and text processing apps", + "master": "office" } }, { "model": "core.categorytranslation", - "pk": 9, + "pk": 15, "fields": { - "language_code": "fr", - "name": "PIM", - "master": "pim" + "language_code": "en", + "name": "Customization", + "description": "Themes, layout and UX change apps", + "master": "customization" } }, { "model": "core.categorytranslation", - "pk": 10, + "pk": 16, "fields": { "language_code": "en", - "name": "Multimedia", - "master": "multimedia" + "name": "Social & communication", + "description": "Messaging, contact management and social media apps", + "master": "social" } }, { "model": "core.categorytranslation", - "pk": 11, + "pk": 17, "fields": { - "language_code": "de", - "name": "Multimedia", - "master": "multimedia" + "language_code": "en", + "name": "Organization", + "description": "Time management, Todo list and calendar apps", + "master": "organization" } }, { "model": "core.categorytranslation", - "pk": 12, + "pk": 18, "fields": { - "language_code": "fr", - "name": "Multimedia", - "master": "multimedia" + "language_code": "en", + "name": "Integration", + "description": "Apps that connect Nextcloud with other services and platforms", + "master": "integration" + } + }, + { + "model": "core.categorytranslation", + "pk": 19, + "fields": { + "language_code": "en", + "name": "Monitoring", + "description": "Data statistics, system diagnostics and activity apps", + "master": "monitoring" } }, { "model": "core.category", - "pk": "games", + "pk": "customization", "fields": { - "created": "2016-06-11T10:37:24Z", - "last_modified": "2016-06-11T10:37:24Z" + "created": "2016-07-02T09:54:54.939Z", + "last_modified": "2016-07-02T09:54:54.939Z" + } + }, + { + "model": "core.category", + "pk": "files", + "fields": { + "created": "2016-07-02T09:25:25.325Z", + "last_modified": "2016-07-02T09:27:25.338Z" + } + }, + { + "model": "core.category", + "pk": "integration", + "fields": { + "created": "2016-07-02T09:59:44.560Z", + "last_modified": "2016-07-02T09:59:44.560Z" + } + }, + { + "model": "core.category", + "pk": "monitoring", + "fields": { + "created": "2016-07-02T10:00:58.515Z", + "last_modified": "2016-07-02T10:00:58.515Z" } }, { @@ -120,15 +166,31 @@ "pk": "multimedia", "fields": { "created": "2016-06-11T10:37:24Z", - "last_modified": "2016-06-11T10:37:24Z" + "last_modified": "2016-07-02T10:02:52.864Z" } }, { "model": "core.category", - "pk": "pim", + "pk": "office", "fields": { - "created": "2016-06-11T10:37:24Z", - "last_modified": "2016-06-11T10:37:24Z" + "created": "2016-07-02T09:26:27.216Z", + "last_modified": "2016-07-02T09:28:24.928Z" + } + }, + { + "model": "core.category", + "pk": "organization", + "fields": { + "created": "2016-07-02T09:57:57.226Z", + "last_modified": "2016-07-02T09:57:57.226Z" + } + }, + { + "model": "core.category", + "pk": "social", + "fields": { + "created": "2016-07-02T09:57:18.394Z", + "last_modified": "2016-07-02T09:57:18.394Z" } }, { @@ -136,7 +198,7 @@ "pk": "tools", "fields": { "created": "2016-06-11T10:37:24Z", - "last_modified": "2016-06-11T10:37:24Z" + "last_modified": "2016-07-02T10:01:45.369Z" } } ] diff --git a/nextcloudappstore/core/models.py b/nextcloudappstore/core/models.py index c65065c27ef..a1f63837896 100644 --- a/nextcloudappstore/core/models.py +++ b/nextcloudappstore/core/models.py @@ -155,6 +155,7 @@ class Category(TranslatableModel): class Meta: verbose_name = _('Category') verbose_name_plural = _('Categories') + ordering = ['id'] def __str__(self) -> str: return self.name
What categories do we need? Currently allowed categories include: - multimedia - pim - tools - games Anything else?
apluslms__a-plus-1004
[ { "content": "from itertools import groupby\nfrom typing import Any, Dict, Iterable, List, Optional, Tuple, Type\n\nfrom django.db import models\nfrom django.http import HttpRequest, HttpResponse\nfrom django.contrib import messages\nfrom django import forms\nfrom django.shortcuts import get_object_or_404\nfrom django.utils.text import format_lazy\nfrom django.utils.translation import ugettext_lazy as _, ngettext\n\nfrom course.models import CourseModule, UserTag\nfrom course.viewbase import CourseInstanceMixin, CourseInstanceBaseView\nfrom deviations.models import SubmissionRuleDeviation\nfrom lib.viewbase import BaseFormView, BaseRedirectView\nfrom authorization.permissions import ACCESS\nfrom exercise.models import BaseExercise\nfrom userprofile.models import UserProfile\n\n\nclass ListDeviationsView(CourseInstanceBaseView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n\n def get_common_objects(self) -> None:\n super().get_common_objects()\n all_deviations = self.deviation_model.objects.filter(\n exercise__course_module__course_instance=self.instance\n )\n self.deviation_groups = get_deviation_groups(all_deviations)\n self.note(\"deviation_groups\")\n\n\nclass AddDeviationsView(CourseInstanceMixin, BaseFormView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n session_key: str\n\n def get_form_kwargs(self) -> Dict[str, Any]:\n kwargs = super().get_form_kwargs()\n kwargs[\"instance\"] = self.instance\n return kwargs\n\n def form_valid(self, form: forms.BaseForm) -> HttpResponse:\n exercises = get_exercises(form.cleaned_data)\n submitters = get_submitters(form.cleaned_data)\n existing_deviations = self.deviation_model.objects.filter(\n exercise__in=exercises,\n submitter__in=submitters,\n )\n\n if existing_deviations:\n # Some deviations already existed. Use OverrideDeviationsView to\n # confirm which ones the user wants to override. Store the form\n # values in the current session, so they can be used afterwards.\n self.success_url = self.deviation_model.get_override_url(self.instance)\n self.request.session[self.session_key] = self.serialize_session_data(form.cleaned_data)\n else:\n self.success_url = self.deviation_model.get_list_url(self.instance)\n for exercise in exercises:\n for submitter in submitters:\n new_deviation = self.deviation_model(\n exercise=exercise,\n submitter=submitter,\n granter=self.request.user.userprofile,\n )\n new_deviation.update_by_form(form.cleaned_data)\n new_deviation.save()\n\n return super().form_valid(form)\n\n def serialize_session_data(self, form_data: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n Convert input form data into serializable values that can be stored in\n the session cache.\n \"\"\"\n result = {}\n for key in ('exercise', 'module', 'submitter', 'submitter_tag'):\n result[key] = [i.id for i in form_data.get(key, [])]\n return result\n\n\nclass OverrideDeviationsView(CourseInstanceMixin, BaseFormView):\n access_mode = ACCESS.TEACHER\n # form_class is not really used, but it is required by the FormView.\n # The form contains only checkboxes and the user input is validated in\n # the form_valid method. The form HTML is manually written in the template.\n form_class = forms.Form\n deviation_model: Type[SubmissionRuleDeviation]\n session_key: str\n\n def get_success_url(self) -> str:\n return self.deviation_model.get_list_url(self.instance)\n\n def get_common_objects(self) -> None:\n super().get_common_objects()\n self.session_data = self.deserialize_session_data(self.request.session[self.session_key])\n self.exercises = get_exercises(self.session_data)\n self.submitters = get_submitters(self.session_data)\n self.existing_deviations = self.deviation_model.objects.filter(\n exercise__in=self.exercises,\n submitter__in=self.submitters,\n )\n self.deviation_groups = get_deviation_groups(self.existing_deviations)\n self.note(\"session_data\", \"exercises\", \"submitters\", \"existing_deviations\", \"deviation_groups\")\n\n def form_valid(self, form: forms.BaseForm) -> HttpResponse:\n override_deviations = set()\n deviation_list = self.request.POST.getlist('override')\n for id_pair in deviation_list:\n try:\n submitter_id, exercise_id = id_pair.split('.')\n submitter_id, exercise_id = int(submitter_id), int(exercise_id)\n override_deviations.add((submitter_id, exercise_id))\n except ValueError:\n messages.error(self.request,\n format_lazy(\n _(\"INVALID_EXERCISE_OR_SUBMITTER_ID -- {id}\"),\n id=id_pair,\n )\n )\n continue\n\n existing_deviations = {(d.submitter_id, d.exercise_id): d for d in self.existing_deviations}\n\n for exercise in self.exercises:\n for submitter in self.submitters:\n existing_deviation = existing_deviations.get((submitter.id, exercise.id))\n if existing_deviation is not None:\n if (submitter.id, exercise.id) in override_deviations:\n existing_deviation.granter = self.request.user.userprofile\n existing_deviation.update_by_form(self.session_data)\n existing_deviation.save()\n else:\n new_deviation = self.deviation_model(\n exercise=exercise,\n submitter=submitter,\n granter=self.request.user.userprofile,\n )\n new_deviation.update_by_form(self.session_data)\n new_deviation.save()\n\n del self.request.session[self.session_key]\n return super().form_valid(form)\n\n def deserialize_session_data(self, session_data: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n Convert serialized session data back into its original representation.\n \"\"\"\n result = {\n 'exercise': BaseExercise.objects.filter(id__in=session_data.get('exercise', [])),\n 'module': CourseModule.objects.filter(id__in=session_data.get('module', [])),\n 'submitter': UserProfile.objects.filter(id__in=session_data.get('submitter', [])),\n 'submitter_tag': UserTag.objects.filter(id__in=session_data.get('submitter_tag', [])),\n }\n return result\n\n\nclass RemoveDeviationsByIDView(CourseInstanceMixin, BaseRedirectView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n\n def post(self, request: HttpRequest, *args: Any, **kwargs: Any) -> HttpResponse:\n deviations = self.deviation_model.objects.filter(\n id__in=request.POST.getlist(\"id\"),\n exercise__course_module__course_instance=self.instance,\n )\n for deviation in deviations:\n deviation.delete()\n if request.is_ajax():\n return HttpResponse(status=204)\n return self.redirect(self.deviation_model.get_list_url(self.instance))\n\n\nclass RemoveDeviationsView(CourseInstanceMixin, BaseFormView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n\n def get_form_kwargs(self) -> Dict[str, Any]:\n kwargs = super().get_form_kwargs()\n kwargs[\"instance\"] = self.instance\n return kwargs\n\n def get_success_url(self) -> str:\n return self.deviation_model.get_list_url(self.instance)\n\n def form_valid(self, form: forms.BaseForm) -> HttpResponse:\n number_of_removed = 0\n deviations = self.deviation_model.objects.filter(\n exercise__in=get_exercises(form.cleaned_data),\n submitter__in=get_submitters(form.cleaned_data),\n )\n for deviation in deviations:\n deviation.delete()\n number_of_removed += 1\n if number_of_removed == 0:\n messages.warning(self.request, _(\"NOTHING_REMOVED\"))\n else:\n message = format_lazy(\n ngettext(\n 'REMOVED_DEVIATION -- {count}',\n 'REMOVED_DEVIATIONS -- {count}',\n number_of_removed\n ),\n count=number_of_removed,\n )\n messages.info(self.request, message)\n return super().form_valid(form)\n\n\ndef get_deviation_groups(\n all_deviations: models.QuerySet[SubmissionRuleDeviation],\n ) -> Iterable[Tuple[List[SubmissionRuleDeviation], bool, Optional[str]]]:\n \"\"\"\n Group the deviations by user and module.\n\n Grouping condition: deviations can be grouped if the user has been\n granted the same deviation (based on the `is_equal` method) for all\n exercises in the module.\n\n The returned tuples contain the following values:\n 1. List of deviations with the same user and module.\n 2. Boolean representing whether the deviations in the list can be\n displayed as a group (i.e. the grouping condition is satisfied).\n 3. An id that uniquely identifies the group of deviations.\n \"\"\"\n # Find the number of exercises in each module.\n course_instances = all_deviations.values_list('exercise__course_module__course_instance', flat=True)\n exercise_counts = (\n BaseExercise.objects.filter(\n course_module__course_instance__in=course_instances\n )\n .order_by()\n .values('course_module_id')\n .annotate(count=models.Count('*'))\n )\n exercise_count_by_module = {row['course_module_id']: row['count'] for row in exercise_counts}\n\n ordered_deviations = (\n all_deviations\n .select_related(\n 'submitter', 'submitter__user',\n 'granter', 'granter__user',\n 'exercise', 'exercise__course_module',\n )\n # parent is prefetched because there may be multiple ancestors, and\n # they are needed for building the deviation's URL.\n .prefetch_related('exercise__parent')\n .order_by('submitter', 'exercise__course_module')\n )\n\n deviation_groups = groupby(\n ordered_deviations,\n lambda obj: (obj.submitter, obj.exercise.course_module),\n )\n for (submitter, module), deviations_iter in deviation_groups:\n deviations = list(deviations_iter)\n can_group = True\n if len(deviations) < 2:\n # Group must have at least 2 deviations.\n can_group = False\n else:\n group_exercises = set()\n # Check that the same deviation has been granted for all exercises.\n for deviation in deviations:\n if not deviation.is_groupable(deviations[0]):\n can_group = False\n break\n group_exercises.add(deviation.exercise.id)\n else:\n if len(group_exercises) != exercise_count_by_module[module.id]:\n # The number of exercises that have deviations doesn't\n # match the number of exercises in the module, so there\n # are some exercises that don't have a deviation.\n can_group = False\n group_id = f\"{deviations[0].submitter.id}.{module.id}\" if can_group else None\n yield (deviations, can_group, group_id)\n\n\ndef get_exercises(form_data: Dict[str, Any]) -> models.QuerySet[BaseExercise]:\n \"\"\"\n Get the exercises that match the input form's `exercise` and `module`\n fields.\n \"\"\"\n return BaseExercise.objects.filter(\n models.Q(id__in=form_data.get('exercise', []))\n | models.Q(course_module__in=form_data.get('module', []))\n )\n\n\ndef get_submitters(form_data: Dict[str, Any]) -> models.QuerySet[UserProfile]:\n \"\"\"\n Get the submitters that match the input form's `submitter` and\n `submitter_tag` fields.\n \"\"\"\n return UserProfile.objects.filter(\n models.Q(id__in=form_data.get('submitter', []))\n | models.Q(taggings__tag__in=form_data.get('submitter_tag', []))\n )\n", "path": "deviations/viewbase.py" } ]
[ { "content": "from itertools import groupby\nfrom typing import Any, Dict, Iterable, List, Optional, Tuple, Type\n\nfrom django.db import models\nfrom django.http import HttpRequest, HttpResponse\nfrom django.contrib import messages\nfrom django import forms\nfrom django.shortcuts import get_object_or_404\nfrom django.utils.text import format_lazy\nfrom django.utils.translation import ugettext_lazy as _, ngettext\n\nfrom course.models import CourseModule, UserTag\nfrom course.viewbase import CourseInstanceMixin, CourseInstanceBaseView\nfrom deviations.models import SubmissionRuleDeviation\nfrom lib.viewbase import BaseFormView, BaseRedirectView\nfrom authorization.permissions import ACCESS\nfrom exercise.models import BaseExercise\nfrom userprofile.models import UserProfile\n\n\nclass ListDeviationsView(CourseInstanceBaseView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n\n def get_common_objects(self) -> None:\n super().get_common_objects()\n all_deviations = self.deviation_model.objects.filter(\n exercise__course_module__course_instance=self.instance\n )\n self.deviation_groups = get_deviation_groups(all_deviations)\n self.note(\"deviation_groups\")\n\n\nclass AddDeviationsView(CourseInstanceMixin, BaseFormView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n session_key: str\n\n def get_form_kwargs(self) -> Dict[str, Any]:\n kwargs = super().get_form_kwargs()\n kwargs[\"instance\"] = self.instance\n return kwargs\n\n def form_valid(self, form: forms.BaseForm) -> HttpResponse:\n exercises = get_exercises(form.cleaned_data)\n submitters = get_submitters(form.cleaned_data)\n existing_deviations = self.deviation_model.objects.filter(\n exercise__in=exercises,\n submitter__in=submitters,\n )\n\n if existing_deviations:\n # Some deviations already existed. Use OverrideDeviationsView to\n # confirm which ones the user wants to override. Store the form\n # values in the current session, so they can be used afterwards.\n self.success_url = self.deviation_model.get_override_url(self.instance)\n self.request.session[self.session_key] = self.serialize_session_data(form.cleaned_data)\n else:\n self.success_url = self.deviation_model.get_list_url(self.instance)\n for exercise in exercises:\n for submitter in submitters:\n new_deviation = self.deviation_model(\n exercise=exercise,\n submitter=submitter,\n granter=self.request.user.userprofile,\n )\n new_deviation.update_by_form(form.cleaned_data)\n new_deviation.save()\n\n return super().form_valid(form)\n\n def serialize_session_data(self, form_data: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n Convert input form data into serializable values that can be stored in\n the session cache.\n \"\"\"\n result = {}\n for key in ('exercise', 'module', 'submitter', 'submitter_tag'):\n result[key] = [i.id for i in form_data.get(key, [])]\n return result\n\n\nclass OverrideDeviationsView(CourseInstanceMixin, BaseFormView):\n access_mode = ACCESS.TEACHER\n # form_class is not really used, but it is required by the FormView.\n # The form contains only checkboxes and the user input is validated in\n # the form_valid method. The form HTML is manually written in the template.\n form_class = forms.Form\n deviation_model: Type[SubmissionRuleDeviation]\n session_key: str\n\n def get_success_url(self) -> str:\n return self.deviation_model.get_list_url(self.instance)\n\n def get_common_objects(self) -> None:\n super().get_common_objects()\n self.session_data = self.deserialize_session_data(self.request.session[self.session_key])\n self.exercises = get_exercises(self.session_data)\n self.submitters = get_submitters(self.session_data)\n self.existing_deviations = self.deviation_model.objects.filter(\n exercise__in=self.exercises,\n submitter__in=self.submitters,\n )\n self.deviation_groups = get_deviation_groups(self.existing_deviations)\n self.note(\"session_data\", \"exercises\", \"submitters\", \"existing_deviations\", \"deviation_groups\")\n\n def form_valid(self, form: forms.BaseForm) -> HttpResponse:\n override_deviations = set()\n deviation_list = self.request.POST.getlist('override')\n for id_pair in deviation_list:\n try:\n submitter_id, exercise_id = id_pair.split('.')\n submitter_id, exercise_id = int(submitter_id), int(exercise_id)\n override_deviations.add((submitter_id, exercise_id))\n except ValueError:\n messages.error(self.request,\n format_lazy(\n _(\"INVALID_EXERCISE_OR_SUBMITTER_ID -- {id}\"),\n id=id_pair,\n )\n )\n continue\n\n existing_deviations = {(d.submitter_id, d.exercise_id): d for d in self.existing_deviations}\n\n for exercise in self.exercises:\n for submitter in self.submitters:\n existing_deviation = existing_deviations.get((submitter.id, exercise.id))\n if existing_deviation is not None:\n if (submitter.id, exercise.id) in override_deviations:\n existing_deviation.granter = self.request.user.userprofile\n existing_deviation.update_by_form(self.session_data)\n existing_deviation.save()\n else:\n new_deviation = self.deviation_model(\n exercise=exercise,\n submitter=submitter,\n granter=self.request.user.userprofile,\n )\n new_deviation.update_by_form(self.session_data)\n new_deviation.save()\n\n del self.request.session[self.session_key]\n return super().form_valid(form)\n\n def deserialize_session_data(self, session_data: Dict[str, Any]) -> Dict[str, Any]:\n \"\"\"\n Convert serialized session data back into its original representation.\n \"\"\"\n result = {\n 'exercise': BaseExercise.objects.filter(id__in=session_data.get('exercise', [])),\n 'module': CourseModule.objects.filter(id__in=session_data.get('module', [])),\n 'submitter': UserProfile.objects.filter(id__in=session_data.get('submitter', [])),\n 'submitter_tag': UserTag.objects.filter(id__in=session_data.get('submitter_tag', [])),\n }\n return result\n\n\nclass RemoveDeviationsByIDView(CourseInstanceMixin, BaseRedirectView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n\n def post(self, request: HttpRequest, *args: Any, **kwargs: Any) -> HttpResponse:\n deviations = self.deviation_model.objects.filter(\n id__in=request.POST.getlist(\"id\"),\n exercise__course_module__course_instance=self.instance,\n )\n for deviation in deviations:\n deviation.delete()\n if request.is_ajax():\n return HttpResponse(status=204)\n return self.redirect(self.deviation_model.get_list_url(self.instance))\n\n\nclass RemoveDeviationsView(CourseInstanceMixin, BaseFormView):\n access_mode = ACCESS.TEACHER\n deviation_model: Type[SubmissionRuleDeviation]\n\n def get_form_kwargs(self) -> Dict[str, Any]:\n kwargs = super().get_form_kwargs()\n kwargs[\"instance\"] = self.instance\n return kwargs\n\n def get_success_url(self) -> str:\n return self.deviation_model.get_list_url(self.instance)\n\n def form_valid(self, form: forms.BaseForm) -> HttpResponse:\n number_of_removed = 0\n deviations = self.deviation_model.objects.filter(\n exercise__in=get_exercises(form.cleaned_data),\n submitter__in=get_submitters(form.cleaned_data),\n )\n for deviation in deviations:\n deviation.delete()\n number_of_removed += 1\n if number_of_removed == 0:\n messages.warning(self.request, _(\"NOTHING_REMOVED\"))\n else:\n message = format_lazy(\n ngettext(\n 'REMOVED_DEVIATION -- {count}',\n 'REMOVED_DEVIATIONS -- {count}',\n number_of_removed\n ),\n count=number_of_removed,\n )\n messages.info(self.request, message)\n return super().form_valid(form)\n\n\ndef get_deviation_groups(\n all_deviations: models.QuerySet[SubmissionRuleDeviation],\n ) -> Iterable[Tuple[List[SubmissionRuleDeviation], bool, Optional[str]]]:\n \"\"\"\n Group the deviations by user and module.\n\n Grouping condition: deviations can be grouped if the user has been\n granted the same deviation (based on the `is_equal` method) for all\n exercises in the module.\n\n The returned tuples contain the following values:\n 1. List of deviations with the same user and module.\n 2. Boolean representing whether the deviations in the list can be\n displayed as a group (i.e. the grouping condition is satisfied).\n 3. An id that uniquely identifies the group of deviations.\n \"\"\"\n # Find the number of exercises in each module.\n course_instances = all_deviations.values_list('exercise__course_module__course_instance', flat=True)\n exercise_counts = (\n BaseExercise.objects.filter(\n course_module__course_instance__in=course_instances\n )\n .order_by()\n .values('course_module_id')\n .annotate(count=models.Count('*'))\n )\n exercise_count_by_module = {row['course_module_id']: row['count'] for row in exercise_counts}\n\n ordered_deviations = (\n all_deviations\n .select_related(\n 'submitter', 'submitter__user',\n 'granter', 'granter__user',\n 'exercise', 'exercise__course_module',\n )\n # parent is prefetched because there may be multiple ancestors, and\n # they are needed for building the deviation's URL.\n .prefetch_related('exercise__parent')\n .order_by('submitter', 'exercise__course_module')\n )\n\n deviation_groups = groupby(\n ordered_deviations,\n lambda obj: (obj.submitter, obj.exercise.course_module),\n )\n for (submitter, module), deviations_iter in deviation_groups:\n deviations = list(deviations_iter)\n can_group = True\n if len(deviations) < 2:\n # Group must have at least 2 deviations.\n can_group = False\n else:\n group_exercises = set()\n # Check that the same deviation has been granted for all exercises.\n for deviation in deviations:\n if not deviation.is_groupable(deviations[0]):\n can_group = False\n break\n group_exercises.add(deviation.exercise.id)\n else:\n if len(group_exercises) != exercise_count_by_module[module.id]:\n # The number of exercises that have deviations doesn't\n # match the number of exercises in the module, so there\n # are some exercises that don't have a deviation.\n can_group = False\n group_id = f\"{deviations[0].submitter.id}.{module.id}\" if can_group else None\n yield (deviations, can_group, group_id)\n\n\ndef get_exercises(form_data: Dict[str, Any]) -> models.QuerySet[BaseExercise]:\n \"\"\"\n Get the exercises that match the input form's `exercise` and `module`\n fields.\n \"\"\"\n return BaseExercise.objects.filter(\n models.Q(id__in=form_data.get('exercise', []))\n | models.Q(course_module__in=form_data.get('module', []))\n )\n\n\ndef get_submitters(form_data: Dict[str, Any]) -> models.QuerySet[UserProfile]:\n \"\"\"\n Get the submitters that match the input form's `submitter` and\n `submitter_tag` fields.\n \"\"\"\n return UserProfile.objects.filter(\n models.Q(id__in=form_data.get('submitter', []))\n | models.Q(taggings__tag__in=form_data.get('submitter_tag', []))\n ).distinct()\n", "path": "deviations/viewbase.py" } ]
diff --git a/deviations/viewbase.py b/deviations/viewbase.py index ae9ce1cd8..ffff3ac7b 100644 --- a/deviations/viewbase.py +++ b/deviations/viewbase.py @@ -296,4 +296,4 @@ def get_submitters(form_data: Dict[str, Any]) -> models.QuerySet[UserProfile]: return UserProfile.objects.filter( models.Q(id__in=form_data.get('submitter', [])) | models.Q(taggings__tag__in=form_data.get('submitter_tag', [])) - ) + ).distinct()
Crash in adding deviations due to unique constraint violation Sometimes, when a teacher is adding deadline deviations, A+ crashes. Based on the traceback below, this occurs when new deviations are supposed to override existing ones. It looks like the code mixes up creating new and modifying existing records in some cases. Stripped traceback that highlights the deviation override view and the unique constraint violation when the new deviation is saved: ``` [ERROR/log] Internal Server Error: /<course>/<instance>/teachers/deadline-deviations/override/ Traceback (most recent call last): File "/usr/local/lib/python3.8/dist-packages/django/db/backends/utils.py", line 84, in _execute return self.cursor.execute(sql, params) psycopg2.errors.UniqueViolation: duplicate key value violates unique constraint "exercise_deadlineruledeviatio_exercise_id_xyz_uniq" DETAIL: Key (exercise_id, submitter_id)=(123, 456) already exists. The above exception was the direct cause of the following exception: File "/a-plus/deviations/viewbase.py", line 141, in form_valid new_deviation.save() django.db.utils.IntegrityError: duplicate key value violates unique constraint "exercise_deadlineruledeviatio_exercise_id_xyz_uniq" DETAIL: Key (exercise_id, submitter_id)=(123, 456) already exists. ``` The code clearly tries to separate existing and new deviations: https://github.com/apluslms/a-plus/blob/8245ca68e99a848ae61180f5b39d8a3a4925c76c/deviations/viewbase.py#L128-L141
feast-dev__feast-3238
[ { "content": "# Copyright 2019 The Feast Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport copy\nimport glob\nimport json\nimport os\nimport pathlib\nimport re\nimport shutil\nimport subprocess\nimport sys\nfrom distutils.cmd import Command\nfrom distutils.dir_util import copy_tree\nfrom pathlib import Path\nfrom subprocess import CalledProcessError\n\nfrom setuptools import Extension, find_packages\n\ntry:\n from setuptools import setup\n from setuptools.command.build_ext import build_ext as _build_ext\n from setuptools.command.build_py import build_py\n from setuptools.command.develop import develop\n from setuptools.command.install import install\n\nexcept ImportError:\n from distutils.command.build_ext import build_ext as _build_ext\n from distutils.command.build_py import build_py\n from distutils.core import setup\n\nNAME = \"feast\"\nDESCRIPTION = \"Python SDK for Feast\"\nURL = \"https://github.com/feast-dev/feast\"\nAUTHOR = \"Feast\"\nREQUIRES_PYTHON = \">=3.7.0\"\n\nREQUIRED = [\n \"click>=7.0.0,<9.0.0\",\n \"colorama>=0.3.9,<1\",\n \"dill==0.3.*\",\n \"fastavro>=1.1.0,<2\",\n \"google-api-core>=1.23.0,<3\",\n \"googleapis-common-protos>=1.52.*,<2\",\n \"grpcio>=1.47.0,<2\",\n \"grpcio-reflection>=1.47.0,<2\",\n \"Jinja2>=2,<4\",\n \"jsonschema\",\n \"mmh3\",\n \"numpy>=1.22,<3\",\n \"pandas>=1.4.3,<2\",\n \"pandavro==1.5.*\", # For some reason pandavro higher than 1.5.* only support pandas less than 1.3.\n \"protobuf<5,>3\",\n \"proto-plus>=1.20.0,<2\",\n \"pyarrow>=4,<9\",\n \"pydantic>=1,<2\",\n \"pygments>=2.12.0,<3\",\n \"PyYAML>=5.4.*,<7\",\n \"SQLAlchemy[mypy]>1,<2\",\n \"tabulate>=0.8.0,<1\",\n \"tenacity>=7,<9\",\n \"toml>=0.10.0,<1\",\n \"tqdm>=4,<5\",\n \"typeguard\",\n \"fastapi>=0.68.0,<1\",\n \"uvicorn[standard]>=0.14.0,<1\",\n \"tensorflow-metadata>=1.0.0,<2.0.0\",\n \"dask>=2021.*,<2022.02.0\",\n \"bowler\", # Needed for automatic repo upgrades\n]\n\nGCP_REQUIRED = [\n \"google-cloud-bigquery[pandas]>=2,<4\",\n \"google-cloud-bigquery-storage >= 2.0.0,<3\",\n \"google-cloud-datastore>=2.1.*,<3\",\n \"google-cloud-storage>=1.34.*,<3\",\n]\n\nREDIS_REQUIRED = [\n \"redis==4.2.2\",\n \"hiredis>=2.0.0,<3\",\n]\n\nAWS_REQUIRED = [\"boto3>=1.17.0,<=1.20.23\", \"docker>=5.0.2\", \"s3fs>=0.4.0,<=2022.01.0\"]\n\nBYTEWAX_REQUIRED = [\"bytewax==0.10.0\", \"docker>=5.0.2\", \"kubernetes<=20.13.0\"]\n\nSNOWFLAKE_REQUIRED = [\n \"snowflake-connector-python[pandas]>=2.7.3,<=2.7.8\",\n]\n\nSPARK_REQUIRED = [\n \"pyspark>=3.0.0,<4\",\n]\n\nTRINO_REQUIRED = [\n \"trino>=0.305.0,<0.400.0\",\n]\n\nPOSTGRES_REQUIRED = [\n \"psycopg2-binary>=2.8.3,<3\",\n]\n\nMYSQL_REQUIRED = [\n \"mysqlclient\",\n]\n\nHBASE_REQUIRED = [\n \"happybase>=1.2.0,<3\",\n]\n\nCASSANDRA_REQUIRED = [\n \"cassandra-driver>=3.24.0,<4\",\n]\n\nGE_REQUIRED = [\"great_expectations>=0.14.0,<0.15.0\"]\n\nGO_REQUIRED = [\n \"cffi==1.15.*,<2\",\n]\n\nAZURE_REQUIRED = (\n [\n \"azure-storage-blob>=0.37.0\",\n \"azure-identity>=1.6.1\",\n \"SQLAlchemy>=1.4.19\",\n \"pyodbc>=4.0.30\",\n \"pymssql\",\n ]\n)\n\nCI_REQUIRED = (\n [\n \"build\",\n \"cryptography>=35.0,<36\",\n \"flake8\",\n \"black>=22.6.0,<23\",\n \"isort>=5,<6\",\n \"grpcio-tools>=1.47.0\",\n \"grpcio-testing>=1.47.0\",\n \"minio==7.1.0\",\n \"mock==2.0.0\",\n \"moto\",\n \"mypy>=0.931\",\n \"mypy-protobuf==3.1\",\n \"avro==1.10.0\",\n \"gcsfs>=0.4.0,<=2022.01.0\",\n \"urllib3>=1.25.4,<2\",\n \"psutil==5.9.0\",\n \"pytest>=6.0.0,<8\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-benchmark>=3.4.1,<4\",\n \"pytest-lazy-fixture==0.6.3\",\n \"pytest-timeout==1.4.2\",\n \"pytest-ordering==0.6.*\",\n \"pytest-mock==1.10.4\",\n \"Sphinx!=4.0.0,<4.4.0\",\n \"sphinx-rtd-theme\",\n \"testcontainers>=3.5,<4\",\n \"adlfs==0.5.9\",\n \"firebase-admin>=5.2.0,<6\",\n \"pre-commit\",\n \"assertpy==1.1\",\n \"pip-tools\",\n \"pybindgen\",\n \"types-protobuf\",\n \"types-python-dateutil\",\n \"types-pytz\",\n \"types-PyYAML\",\n \"types-redis\",\n \"types-requests\",\n \"types-setuptools\",\n \"types-tabulate\",\n ]\n + GCP_REQUIRED\n + REDIS_REQUIRED\n + AWS_REQUIRED\n + BYTEWAX_REQUIRED\n + SNOWFLAKE_REQUIRED\n + SPARK_REQUIRED\n + POSTGRES_REQUIRED\n + MYSQL_REQUIRED\n + TRINO_REQUIRED\n + GE_REQUIRED\n + HBASE_REQUIRED\n + CASSANDRA_REQUIRED\n + AZURE_REQUIRED\n)\n\n\n# rtd builds fail because of mysql not being installed in their environment.\n# We can add mysql there, but it's not strictly needed. This will be faster for builds.\nDOCS_REQUIRED = CI_REQUIRED.copy()\nfor _r in MYSQL_REQUIRED:\n DOCS_REQUIRED.remove(_r)\n\nDEV_REQUIRED = [\"mypy-protobuf==3.1\", \"grpcio-testing==1.*\"] + CI_REQUIRED\n\n# Get git repo root directory\nrepo_root = str(pathlib.Path(__file__).resolve().parent)\n\n# README file from Feast repo root directory\nREADME_FILE = os.path.join(repo_root, \"README.md\")\nwith open(README_FILE, \"r\", encoding=\"utf8\") as f:\n LONG_DESCRIPTION = f.read()\n\n# Add Support for parsing tags that have a prefix containing '/' (ie 'sdk/go') to setuptools_scm.\n# Regex modified from default tag regex in:\n# https://github.com/pypa/setuptools_scm/blob/2a1b46d38fb2b8aeac09853e660bcd0d7c1bc7be/src/setuptools_scm/config.py#L9\nTAG_REGEX = re.compile(\n r\"^(?:[\\/\\w-]+)?(?P<version>[vV]?\\d+(?:\\.\\d+){0,2}[^\\+]*)(?:\\+.*)?$\"\n)\n\n# Only set use_scm_version if git executable exists (setting this variable causes pip to use git under the hood)\nif shutil.which(\"git\"):\n use_scm_version = {\"root\": \".\", \"relative_to\": __file__, \"tag_regex\": TAG_REGEX}\nelse:\n use_scm_version = None\n\nPROTO_SUBDIRS = [\"core\", \"serving\", \"types\", \"storage\"]\nPYTHON_CODE_PREFIX = \"sdk/python\"\n\n\nclass BuildPythonProtosCommand(Command):\n description = \"Builds the proto files into Python files.\"\n user_options = [\n (\"inplace\", \"i\", \"Write generated proto files to source directory.\"),\n ]\n\n def initialize_options(self):\n self.python_protoc = [\n sys.executable,\n \"-m\",\n \"grpc_tools.protoc\",\n ] # find_executable(\"protoc\")\n self.proto_folder = os.path.join(repo_root, \"protos\")\n self.sub_folders = PROTO_SUBDIRS\n self.build_lib = None\n self.inplace = 0\n\n def finalize_options(self):\n self.set_undefined_options(\"build\", (\"build_lib\", \"build_lib\"))\n\n @property\n def python_folder(self):\n if self.inplace:\n return os.path.join(\n os.path.dirname(__file__) or os.getcwd(), \"sdk/python/feast/protos\"\n )\n\n return os.path.join(self.build_lib, \"feast/protos\")\n\n def _generate_python_protos(self, path: str):\n proto_files = glob.glob(os.path.join(self.proto_folder, path))\n Path(self.python_folder).mkdir(parents=True, exist_ok=True)\n subprocess.check_call(\n self.python_protoc\n + [\n \"-I\",\n self.proto_folder,\n \"--python_out\",\n self.python_folder,\n \"--grpc_python_out\",\n self.python_folder,\n \"--mypy_out\",\n self.python_folder,\n ]\n + proto_files\n )\n\n def run(self):\n for sub_folder in self.sub_folders:\n self._generate_python_protos(f\"feast/{sub_folder}/*.proto\")\n # We need the __init__ files for each of the generated subdirs\n # so that they are regular packages, and don't need the `--namespace-packages` flags\n # when being typechecked using mypy.\n with open(f\"{self.python_folder}/feast/{sub_folder}/__init__.py\", \"w\"):\n pass\n\n with open(f\"{self.python_folder}/__init__.py\", \"w\"):\n pass\n with open(f\"{self.python_folder}/feast/__init__.py\", \"w\"):\n pass\n\n for path in Path(self.python_folder).rglob(\"*.py\"):\n for folder in self.sub_folders:\n # Read in the file\n with open(path, \"r\") as file:\n filedata = file.read()\n\n # Replace the target string\n filedata = filedata.replace(\n f\"from feast.{folder}\", f\"from feast.protos.feast.{folder}\"\n )\n\n # Write the file out again\n with open(path, \"w\") as file:\n file.write(filedata)\n\n\ndef _generate_path_with_gopath():\n go_path = subprocess.check_output([\"go\", \"env\", \"GOPATH\"]).decode(\"utf-8\")\n go_path = go_path.strip()\n path_val = os.getenv(\"PATH\")\n path_val = f\"{path_val}:{go_path}/bin\"\n\n return path_val\n\n\ndef _ensure_go_and_proto_toolchain():\n try:\n version = subprocess.check_output([\"go\", \"version\"])\n except Exception as e:\n raise RuntimeError(\"Unable to find go toolchain\") from e\n\n semver_string = re.search(r\"go[\\S]+\", str(version)).group().lstrip(\"go\")\n parts = semver_string.split(\".\")\n if not (int(parts[0]) >= 1 and int(parts[1]) >= 16):\n raise RuntimeError(f\"Go compiler too old; expected 1.16+ found {semver_string}\")\n\n path_val = _generate_path_with_gopath()\n\n try:\n subprocess.check_call([\"protoc-gen-go\", \"--version\"], env={\"PATH\": path_val})\n subprocess.check_call(\n [\"protoc-gen-go-grpc\", \"--version\"], env={\"PATH\": path_val}\n )\n except Exception as e:\n raise RuntimeError(\"Unable to find go/grpc extensions for protoc\") from e\n\n\nclass BuildGoProtosCommand(Command):\n description = \"Builds the proto files into Go files.\"\n user_options = []\n\n def initialize_options(self):\n self.go_protoc = [\n sys.executable,\n \"-m\",\n \"grpc_tools.protoc\",\n ] # find_executable(\"protoc\")\n self.proto_folder = os.path.join(repo_root, \"protos\")\n self.go_folder = os.path.join(repo_root, \"go/protos\")\n self.sub_folders = PROTO_SUBDIRS\n self.path_val = _generate_path_with_gopath()\n\n def finalize_options(self):\n pass\n\n def _generate_go_protos(self, path: str):\n proto_files = glob.glob(os.path.join(self.proto_folder, path))\n\n try:\n subprocess.check_call(\n self.go_protoc\n + [\n \"-I\",\n self.proto_folder,\n \"--go_out\",\n self.go_folder,\n \"--go_opt=module=github.com/feast-dev/feast/go/protos\",\n \"--go-grpc_out\",\n self.go_folder,\n \"--go-grpc_opt=module=github.com/feast-dev/feast/go/protos\",\n ]\n + proto_files,\n env={\"PATH\": self.path_val},\n )\n except CalledProcessError as e:\n print(f\"Stderr: {e.stderr}\")\n print(f\"Stdout: {e.stdout}\")\n\n def run(self):\n go_dir = Path(repo_root) / \"go\" / \"protos\"\n go_dir.mkdir(exist_ok=True)\n for sub_folder in self.sub_folders:\n self._generate_go_protos(f\"feast/{sub_folder}/*.proto\")\n\n\nclass BuildCommand(build_py):\n \"\"\"Custom build command.\"\"\"\n\n def run(self):\n self.run_command(\"build_python_protos\")\n if os.getenv(\"COMPILE_GO\", \"false\").lower() == \"true\":\n _ensure_go_and_proto_toolchain()\n self.run_command(\"build_go_protos\")\n\n self.run_command(\"build_ext\")\n build_py.run(self)\n\n\nclass DevelopCommand(develop):\n \"\"\"Custom develop command.\"\"\"\n\n def run(self):\n self.reinitialize_command(\"build_python_protos\", inplace=1)\n self.run_command(\"build_python_protos\")\n if os.getenv(\"COMPILE_GO\", \"false\").lower() == \"true\":\n _ensure_go_and_proto_toolchain()\n self.run_command(\"build_go_protos\")\n\n develop.run(self)\n\n\nclass build_ext(_build_ext):\n def finalize_options(self) -> None:\n super().finalize_options()\n if os.getenv(\"COMPILE_GO\", \"false\").lower() == \"false\":\n self.extensions = [e for e in self.extensions if not self._is_go_ext(e)]\n\n def _is_go_ext(self, ext: Extension):\n return any(\n source.endswith(\".go\") or source.startswith(\"github\")\n for source in ext.sources\n )\n\n def build_extension(self, ext: Extension):\n print(f\"Building extension {ext}\")\n if not self._is_go_ext(ext):\n # the base class may mutate `self.compiler`\n compiler = copy.deepcopy(self.compiler)\n self.compiler, compiler = compiler, self.compiler\n try:\n return _build_ext.build_extension(self, ext)\n finally:\n self.compiler, compiler = compiler, self.compiler\n\n bin_path = _generate_path_with_gopath()\n go_env = json.loads(\n subprocess.check_output([\"go\", \"env\", \"-json\"]).decode(\"utf-8\").strip()\n )\n\n print(f\"Go env: {go_env}\")\n print(f\"CWD: {os.getcwd()}\")\n\n destination = os.path.dirname(os.path.abspath(self.get_ext_fullpath(ext.name)))\n subprocess.check_call(\n [\"go\", \"install\", \"golang.org/x/tools/cmd/goimports\"],\n env={\"PATH\": bin_path, **go_env},\n )\n subprocess.check_call(\n [\"go\", \"get\", \"github.com/go-python/[email protected]\"],\n env={\"PATH\": bin_path, **go_env},\n )\n subprocess.check_call(\n [\"go\", \"install\", \"github.com/go-python/gopy\"],\n env={\"PATH\": bin_path, **go_env},\n )\n subprocess.check_call(\n [\n \"gopy\",\n \"build\",\n \"-output\",\n destination,\n \"-vm\",\n sys.executable,\n \"--build-tags\",\n \"cgo,ccalloc\",\n \"--dynamic-link=True\",\n \"-no-make\",\n *ext.sources,\n ],\n env={\n \"PATH\": bin_path,\n \"CGO_LDFLAGS_ALLOW\": \".*\",\n **go_env,\n },\n )\n\n def copy_extensions_to_source(self):\n build_py = self.get_finalized_command(\"build_py\")\n for ext in self.extensions:\n fullname = self.get_ext_fullname(ext.name)\n modpath = fullname.split(\".\")\n package = \".\".join(modpath[:-1])\n package_dir = build_py.get_package_dir(package)\n\n src_dir = dest_dir = package_dir\n\n if src_dir.startswith(PYTHON_CODE_PREFIX):\n src_dir = package_dir[len(PYTHON_CODE_PREFIX) :]\n src_dir = src_dir.lstrip(\"/\")\n\n src_dir = os.path.join(self.build_lib, src_dir)\n\n # copy whole directory\n print(f\"Copying from {src_dir} to {dest_dir}\")\n copy_tree(src_dir, dest_dir)\n\n\nsetup(\n name=NAME,\n author=AUTHOR,\n description=DESCRIPTION,\n long_description=LONG_DESCRIPTION,\n long_description_content_type=\"text/markdown\",\n python_requires=REQUIRES_PYTHON,\n url=URL,\n packages=find_packages(\n where=PYTHON_CODE_PREFIX, exclude=(\"java\", \"infra\", \"sdk/python/tests\", \"ui\")\n ),\n package_dir={\"\": PYTHON_CODE_PREFIX},\n install_requires=REQUIRED,\n # https://stackoverflow.com/questions/28509965/setuptools-development-requirements\n # Install dev requirements with: pip install -e .[dev]\n extras_require={\n \"dev\": DEV_REQUIRED,\n \"ci\": CI_REQUIRED,\n \"gcp\": GCP_REQUIRED,\n \"aws\": AWS_REQUIRED,\n \"bytewax\": BYTEWAX_REQUIRED,\n \"redis\": REDIS_REQUIRED,\n \"snowflake\": SNOWFLAKE_REQUIRED,\n \"spark\": SPARK_REQUIRED,\n \"trino\": TRINO_REQUIRED,\n \"postgres\": POSTGRES_REQUIRED,\n \"azure\": AZURE_REQUIRED,\n \"mysql\": MYSQL_REQUIRED,\n \"ge\": GE_REQUIRED,\n \"hbase\": HBASE_REQUIRED,\n \"go\": GO_REQUIRED,\n \"docs\": DOCS_REQUIRED,\n \"cassandra\": CASSANDRA_REQUIRED,\n },\n include_package_data=True,\n license=\"Apache\",\n classifiers=[\n # Trove classifiers\n # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers\n \"License :: OSI Approved :: Apache Software License\",\n \"Programming Language :: Python\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.7\",\n ],\n entry_points={\"console_scripts\": [\"feast=feast.cli:cli\"]},\n use_scm_version=use_scm_version,\n setup_requires=[\n \"setuptools_scm\",\n \"grpcio>=1.47.0\",\n \"grpcio-tools>=1.47.0\",\n \"mypy-protobuf==3.1\",\n \"pybindgen==0.22.0\",\n \"sphinx!=4.0.0\",\n ],\n cmdclass={\n \"build_python_protos\": BuildPythonProtosCommand,\n \"build_go_protos\": BuildGoProtosCommand,\n \"build_py\": BuildCommand,\n \"develop\": DevelopCommand,\n \"build_ext\": build_ext,\n },\n ext_modules=[\n Extension(\n \"feast.embedded_go.lib._embedded\",\n [\"github.com/feast-dev/feast/go/embedded\"],\n )\n ],\n)\n", "path": "setup.py" } ]
[ { "content": "# Copyright 2019 The Feast Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport copy\nimport glob\nimport json\nimport os\nimport pathlib\nimport re\nimport shutil\nimport subprocess\nimport sys\nfrom distutils.cmd import Command\nfrom distutils.dir_util import copy_tree\nfrom pathlib import Path\nfrom subprocess import CalledProcessError\n\nfrom setuptools import Extension, find_packages\n\ntry:\n from setuptools import setup\n from setuptools.command.build_ext import build_ext as _build_ext\n from setuptools.command.build_py import build_py\n from setuptools.command.develop import develop\n from setuptools.command.install import install\n\nexcept ImportError:\n from distutils.command.build_ext import build_ext as _build_ext\n from distutils.command.build_py import build_py\n from distutils.core import setup\n\nNAME = \"feast\"\nDESCRIPTION = \"Python SDK for Feast\"\nURL = \"https://github.com/feast-dev/feast\"\nAUTHOR = \"Feast\"\nREQUIRES_PYTHON = \">=3.7.0\"\n\nREQUIRED = [\n \"click>=7.0.0,<9.0.0\",\n \"colorama>=0.3.9,<1\",\n \"dill==0.3.*\",\n \"fastavro>=1.1.0,<2\",\n \"google-api-core>=1.23.0,<3\",\n \"googleapis-common-protos>=1.52.*,<2\",\n \"grpcio>=1.47.0,<2\",\n \"grpcio-reflection>=1.47.0,<2\",\n \"Jinja2>=2,<4\",\n \"jsonschema\",\n \"mmh3\",\n \"numpy>=1.22,<3\",\n \"pandas>=1.4.3,<2\",\n \"pandavro==1.5.*\", # For some reason pandavro higher than 1.5.* only support pandas less than 1.3.\n \"protobuf<5,>3\",\n \"proto-plus>=1.20.0,<2\",\n \"pyarrow>=4,<9\",\n \"pydantic>=1,<2\",\n \"pygments>=2.12.0,<3\",\n \"PyYAML>=5.4.*,<7\",\n \"SQLAlchemy[mypy]>1,<2\",\n \"tabulate>=0.8.0,<1\",\n \"tenacity>=7,<9\",\n \"toml>=0.10.0,<1\",\n \"tqdm>=4,<5\",\n \"typeguard\",\n \"fastapi>=0.68.0,<1\",\n \"uvicorn[standard]>=0.14.0,<1\",\n \"tensorflow-metadata>=1.0.0,<2.0.0\",\n \"dask>=2021.*,<2022.02.0\",\n \"bowler\", # Needed for automatic repo upgrades\n]\n\nGCP_REQUIRED = [\n \"google-cloud-bigquery[pandas]>=2,<4\",\n \"google-cloud-bigquery-storage >= 2.0.0,<3\",\n \"google-cloud-datastore>=2.1.*,<3\",\n \"google-cloud-storage>=1.34.*,<3\",\n]\n\nREDIS_REQUIRED = [\n \"redis==4.2.2\",\n \"hiredis>=2.0.0,<3\",\n]\n\nAWS_REQUIRED = [\"boto3>=1.17.0,<=1.20.23\", \"docker>=5.0.2\", \"s3fs>=0.4.0,<=2022.01.0\"]\n\nBYTEWAX_REQUIRED = [\"bytewax==0.10.0\", \"docker>=5.0.2\", \"kubernetes<=20.13.0\"]\n\nSNOWFLAKE_REQUIRED = [\n \"snowflake-connector-python[pandas]>=2.7.3,<3\",\n]\n\nSPARK_REQUIRED = [\n \"pyspark>=3.0.0,<4\",\n]\n\nTRINO_REQUIRED = [\n \"trino>=0.305.0,<0.400.0\",\n]\n\nPOSTGRES_REQUIRED = [\n \"psycopg2-binary>=2.8.3,<3\",\n]\n\nMYSQL_REQUIRED = [\n \"mysqlclient\",\n]\n\nHBASE_REQUIRED = [\n \"happybase>=1.2.0,<3\",\n]\n\nCASSANDRA_REQUIRED = [\n \"cassandra-driver>=3.24.0,<4\",\n]\n\nGE_REQUIRED = [\"great_expectations>=0.14.0,<0.15.0\"]\n\nGO_REQUIRED = [\n \"cffi==1.15.*,<2\",\n]\n\nAZURE_REQUIRED = (\n [\n \"azure-storage-blob>=0.37.0\",\n \"azure-identity>=1.6.1\",\n \"SQLAlchemy>=1.4.19\",\n \"pyodbc>=4.0.30\",\n \"pymssql\",\n ]\n)\n\nCI_REQUIRED = (\n [\n \"build\",\n \"cryptography>=35.0,<36\",\n \"flake8\",\n \"black>=22.6.0,<23\",\n \"isort>=5,<6\",\n \"grpcio-tools>=1.47.0\",\n \"grpcio-testing>=1.47.0\",\n \"minio==7.1.0\",\n \"mock==2.0.0\",\n \"moto\",\n \"mypy>=0.931\",\n \"mypy-protobuf==3.1\",\n \"avro==1.10.0\",\n \"gcsfs>=0.4.0,<=2022.01.0\",\n \"urllib3>=1.25.4,<2\",\n \"psutil==5.9.0\",\n \"pytest>=6.0.0,<8\",\n \"pytest-cov\",\n \"pytest-xdist\",\n \"pytest-benchmark>=3.4.1,<4\",\n \"pytest-lazy-fixture==0.6.3\",\n \"pytest-timeout==1.4.2\",\n \"pytest-ordering==0.6.*\",\n \"pytest-mock==1.10.4\",\n \"Sphinx!=4.0.0,<4.4.0\",\n \"sphinx-rtd-theme\",\n \"testcontainers>=3.5,<4\",\n \"adlfs==0.5.9\",\n \"firebase-admin>=5.2.0,<6\",\n \"pre-commit\",\n \"assertpy==1.1\",\n \"pip-tools\",\n \"pybindgen\",\n \"types-protobuf\",\n \"types-python-dateutil\",\n \"types-pytz\",\n \"types-PyYAML\",\n \"types-redis\",\n \"types-requests\",\n \"types-setuptools\",\n \"types-tabulate\",\n ]\n + GCP_REQUIRED\n + REDIS_REQUIRED\n + AWS_REQUIRED\n + BYTEWAX_REQUIRED\n + SNOWFLAKE_REQUIRED\n + SPARK_REQUIRED\n + POSTGRES_REQUIRED\n + MYSQL_REQUIRED\n + TRINO_REQUIRED\n + GE_REQUIRED\n + HBASE_REQUIRED\n + CASSANDRA_REQUIRED\n + AZURE_REQUIRED\n)\n\n\n# rtd builds fail because of mysql not being installed in their environment.\n# We can add mysql there, but it's not strictly needed. This will be faster for builds.\nDOCS_REQUIRED = CI_REQUIRED.copy()\nfor _r in MYSQL_REQUIRED:\n DOCS_REQUIRED.remove(_r)\n\nDEV_REQUIRED = [\"mypy-protobuf==3.1\", \"grpcio-testing==1.*\"] + CI_REQUIRED\n\n# Get git repo root directory\nrepo_root = str(pathlib.Path(__file__).resolve().parent)\n\n# README file from Feast repo root directory\nREADME_FILE = os.path.join(repo_root, \"README.md\")\nwith open(README_FILE, \"r\", encoding=\"utf8\") as f:\n LONG_DESCRIPTION = f.read()\n\n# Add Support for parsing tags that have a prefix containing '/' (ie 'sdk/go') to setuptools_scm.\n# Regex modified from default tag regex in:\n# https://github.com/pypa/setuptools_scm/blob/2a1b46d38fb2b8aeac09853e660bcd0d7c1bc7be/src/setuptools_scm/config.py#L9\nTAG_REGEX = re.compile(\n r\"^(?:[\\/\\w-]+)?(?P<version>[vV]?\\d+(?:\\.\\d+){0,2}[^\\+]*)(?:\\+.*)?$\"\n)\n\n# Only set use_scm_version if git executable exists (setting this variable causes pip to use git under the hood)\nif shutil.which(\"git\"):\n use_scm_version = {\"root\": \".\", \"relative_to\": __file__, \"tag_regex\": TAG_REGEX}\nelse:\n use_scm_version = None\n\nPROTO_SUBDIRS = [\"core\", \"serving\", \"types\", \"storage\"]\nPYTHON_CODE_PREFIX = \"sdk/python\"\n\n\nclass BuildPythonProtosCommand(Command):\n description = \"Builds the proto files into Python files.\"\n user_options = [\n (\"inplace\", \"i\", \"Write generated proto files to source directory.\"),\n ]\n\n def initialize_options(self):\n self.python_protoc = [\n sys.executable,\n \"-m\",\n \"grpc_tools.protoc\",\n ] # find_executable(\"protoc\")\n self.proto_folder = os.path.join(repo_root, \"protos\")\n self.sub_folders = PROTO_SUBDIRS\n self.build_lib = None\n self.inplace = 0\n\n def finalize_options(self):\n self.set_undefined_options(\"build\", (\"build_lib\", \"build_lib\"))\n\n @property\n def python_folder(self):\n if self.inplace:\n return os.path.join(\n os.path.dirname(__file__) or os.getcwd(), \"sdk/python/feast/protos\"\n )\n\n return os.path.join(self.build_lib, \"feast/protos\")\n\n def _generate_python_protos(self, path: str):\n proto_files = glob.glob(os.path.join(self.proto_folder, path))\n Path(self.python_folder).mkdir(parents=True, exist_ok=True)\n subprocess.check_call(\n self.python_protoc\n + [\n \"-I\",\n self.proto_folder,\n \"--python_out\",\n self.python_folder,\n \"--grpc_python_out\",\n self.python_folder,\n \"--mypy_out\",\n self.python_folder,\n ]\n + proto_files\n )\n\n def run(self):\n for sub_folder in self.sub_folders:\n self._generate_python_protos(f\"feast/{sub_folder}/*.proto\")\n # We need the __init__ files for each of the generated subdirs\n # so that they are regular packages, and don't need the `--namespace-packages` flags\n # when being typechecked using mypy.\n with open(f\"{self.python_folder}/feast/{sub_folder}/__init__.py\", \"w\"):\n pass\n\n with open(f\"{self.python_folder}/__init__.py\", \"w\"):\n pass\n with open(f\"{self.python_folder}/feast/__init__.py\", \"w\"):\n pass\n\n for path in Path(self.python_folder).rglob(\"*.py\"):\n for folder in self.sub_folders:\n # Read in the file\n with open(path, \"r\") as file:\n filedata = file.read()\n\n # Replace the target string\n filedata = filedata.replace(\n f\"from feast.{folder}\", f\"from feast.protos.feast.{folder}\"\n )\n\n # Write the file out again\n with open(path, \"w\") as file:\n file.write(filedata)\n\n\ndef _generate_path_with_gopath():\n go_path = subprocess.check_output([\"go\", \"env\", \"GOPATH\"]).decode(\"utf-8\")\n go_path = go_path.strip()\n path_val = os.getenv(\"PATH\")\n path_val = f\"{path_val}:{go_path}/bin\"\n\n return path_val\n\n\ndef _ensure_go_and_proto_toolchain():\n try:\n version = subprocess.check_output([\"go\", \"version\"])\n except Exception as e:\n raise RuntimeError(\"Unable to find go toolchain\") from e\n\n semver_string = re.search(r\"go[\\S]+\", str(version)).group().lstrip(\"go\")\n parts = semver_string.split(\".\")\n if not (int(parts[0]) >= 1 and int(parts[1]) >= 16):\n raise RuntimeError(f\"Go compiler too old; expected 1.16+ found {semver_string}\")\n\n path_val = _generate_path_with_gopath()\n\n try:\n subprocess.check_call([\"protoc-gen-go\", \"--version\"], env={\"PATH\": path_val})\n subprocess.check_call(\n [\"protoc-gen-go-grpc\", \"--version\"], env={\"PATH\": path_val}\n )\n except Exception as e:\n raise RuntimeError(\"Unable to find go/grpc extensions for protoc\") from e\n\n\nclass BuildGoProtosCommand(Command):\n description = \"Builds the proto files into Go files.\"\n user_options = []\n\n def initialize_options(self):\n self.go_protoc = [\n sys.executable,\n \"-m\",\n \"grpc_tools.protoc\",\n ] # find_executable(\"protoc\")\n self.proto_folder = os.path.join(repo_root, \"protos\")\n self.go_folder = os.path.join(repo_root, \"go/protos\")\n self.sub_folders = PROTO_SUBDIRS\n self.path_val = _generate_path_with_gopath()\n\n def finalize_options(self):\n pass\n\n def _generate_go_protos(self, path: str):\n proto_files = glob.glob(os.path.join(self.proto_folder, path))\n\n try:\n subprocess.check_call(\n self.go_protoc\n + [\n \"-I\",\n self.proto_folder,\n \"--go_out\",\n self.go_folder,\n \"--go_opt=module=github.com/feast-dev/feast/go/protos\",\n \"--go-grpc_out\",\n self.go_folder,\n \"--go-grpc_opt=module=github.com/feast-dev/feast/go/protos\",\n ]\n + proto_files,\n env={\"PATH\": self.path_val},\n )\n except CalledProcessError as e:\n print(f\"Stderr: {e.stderr}\")\n print(f\"Stdout: {e.stdout}\")\n\n def run(self):\n go_dir = Path(repo_root) / \"go\" / \"protos\"\n go_dir.mkdir(exist_ok=True)\n for sub_folder in self.sub_folders:\n self._generate_go_protos(f\"feast/{sub_folder}/*.proto\")\n\n\nclass BuildCommand(build_py):\n \"\"\"Custom build command.\"\"\"\n\n def run(self):\n self.run_command(\"build_python_protos\")\n if os.getenv(\"COMPILE_GO\", \"false\").lower() == \"true\":\n _ensure_go_and_proto_toolchain()\n self.run_command(\"build_go_protos\")\n\n self.run_command(\"build_ext\")\n build_py.run(self)\n\n\nclass DevelopCommand(develop):\n \"\"\"Custom develop command.\"\"\"\n\n def run(self):\n self.reinitialize_command(\"build_python_protos\", inplace=1)\n self.run_command(\"build_python_protos\")\n if os.getenv(\"COMPILE_GO\", \"false\").lower() == \"true\":\n _ensure_go_and_proto_toolchain()\n self.run_command(\"build_go_protos\")\n\n develop.run(self)\n\n\nclass build_ext(_build_ext):\n def finalize_options(self) -> None:\n super().finalize_options()\n if os.getenv(\"COMPILE_GO\", \"false\").lower() == \"false\":\n self.extensions = [e for e in self.extensions if not self._is_go_ext(e)]\n\n def _is_go_ext(self, ext: Extension):\n return any(\n source.endswith(\".go\") or source.startswith(\"github\")\n for source in ext.sources\n )\n\n def build_extension(self, ext: Extension):\n print(f\"Building extension {ext}\")\n if not self._is_go_ext(ext):\n # the base class may mutate `self.compiler`\n compiler = copy.deepcopy(self.compiler)\n self.compiler, compiler = compiler, self.compiler\n try:\n return _build_ext.build_extension(self, ext)\n finally:\n self.compiler, compiler = compiler, self.compiler\n\n bin_path = _generate_path_with_gopath()\n go_env = json.loads(\n subprocess.check_output([\"go\", \"env\", \"-json\"]).decode(\"utf-8\").strip()\n )\n\n print(f\"Go env: {go_env}\")\n print(f\"CWD: {os.getcwd()}\")\n\n destination = os.path.dirname(os.path.abspath(self.get_ext_fullpath(ext.name)))\n subprocess.check_call(\n [\"go\", \"install\", \"golang.org/x/tools/cmd/goimports\"],\n env={\"PATH\": bin_path, **go_env},\n )\n subprocess.check_call(\n [\"go\", \"get\", \"github.com/go-python/[email protected]\"],\n env={\"PATH\": bin_path, **go_env},\n )\n subprocess.check_call(\n [\"go\", \"install\", \"github.com/go-python/gopy\"],\n env={\"PATH\": bin_path, **go_env},\n )\n subprocess.check_call(\n [\n \"gopy\",\n \"build\",\n \"-output\",\n destination,\n \"-vm\",\n sys.executable,\n \"--build-tags\",\n \"cgo,ccalloc\",\n \"--dynamic-link=True\",\n \"-no-make\",\n *ext.sources,\n ],\n env={\n \"PATH\": bin_path,\n \"CGO_LDFLAGS_ALLOW\": \".*\",\n **go_env,\n },\n )\n\n def copy_extensions_to_source(self):\n build_py = self.get_finalized_command(\"build_py\")\n for ext in self.extensions:\n fullname = self.get_ext_fullname(ext.name)\n modpath = fullname.split(\".\")\n package = \".\".join(modpath[:-1])\n package_dir = build_py.get_package_dir(package)\n\n src_dir = dest_dir = package_dir\n\n if src_dir.startswith(PYTHON_CODE_PREFIX):\n src_dir = package_dir[len(PYTHON_CODE_PREFIX) :]\n src_dir = src_dir.lstrip(\"/\")\n\n src_dir = os.path.join(self.build_lib, src_dir)\n\n # copy whole directory\n print(f\"Copying from {src_dir} to {dest_dir}\")\n copy_tree(src_dir, dest_dir)\n\n\nsetup(\n name=NAME,\n author=AUTHOR,\n description=DESCRIPTION,\n long_description=LONG_DESCRIPTION,\n long_description_content_type=\"text/markdown\",\n python_requires=REQUIRES_PYTHON,\n url=URL,\n packages=find_packages(\n where=PYTHON_CODE_PREFIX, exclude=(\"java\", \"infra\", \"sdk/python/tests\", \"ui\")\n ),\n package_dir={\"\": PYTHON_CODE_PREFIX},\n install_requires=REQUIRED,\n # https://stackoverflow.com/questions/28509965/setuptools-development-requirements\n # Install dev requirements with: pip install -e .[dev]\n extras_require={\n \"dev\": DEV_REQUIRED,\n \"ci\": CI_REQUIRED,\n \"gcp\": GCP_REQUIRED,\n \"aws\": AWS_REQUIRED,\n \"bytewax\": BYTEWAX_REQUIRED,\n \"redis\": REDIS_REQUIRED,\n \"snowflake\": SNOWFLAKE_REQUIRED,\n \"spark\": SPARK_REQUIRED,\n \"trino\": TRINO_REQUIRED,\n \"postgres\": POSTGRES_REQUIRED,\n \"azure\": AZURE_REQUIRED,\n \"mysql\": MYSQL_REQUIRED,\n \"ge\": GE_REQUIRED,\n \"hbase\": HBASE_REQUIRED,\n \"go\": GO_REQUIRED,\n \"docs\": DOCS_REQUIRED,\n \"cassandra\": CASSANDRA_REQUIRED,\n },\n include_package_data=True,\n license=\"Apache\",\n classifiers=[\n # Trove classifiers\n # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers\n \"License :: OSI Approved :: Apache Software License\",\n \"Programming Language :: Python\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.7\",\n ],\n entry_points={\"console_scripts\": [\"feast=feast.cli:cli\"]},\n use_scm_version=use_scm_version,\n setup_requires=[\n \"setuptools_scm\",\n \"grpcio>=1.47.0\",\n \"grpcio-tools>=1.47.0\",\n \"mypy-protobuf==3.1\",\n \"pybindgen==0.22.0\",\n \"sphinx!=4.0.0\",\n ],\n cmdclass={\n \"build_python_protos\": BuildPythonProtosCommand,\n \"build_go_protos\": BuildGoProtosCommand,\n \"build_py\": BuildCommand,\n \"develop\": DevelopCommand,\n \"build_ext\": build_ext,\n },\n ext_modules=[\n Extension(\n \"feast.embedded_go.lib._embedded\",\n [\"github.com/feast-dev/feast/go/embedded\"],\n )\n ],\n)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index 37ed471cfa6..cddfb63b414 100644 --- a/setup.py +++ b/setup.py @@ -96,7 +96,7 @@ BYTEWAX_REQUIRED = ["bytewax==0.10.0", "docker>=5.0.2", "kubernetes<=20.13.0"] SNOWFLAKE_REQUIRED = [ - "snowflake-connector-python[pandas]>=2.7.3,<=2.7.8", + "snowflake-connector-python[pandas]>=2.7.3,<3", ] SPARK_REQUIRED = [
Allow `snowflake-connector-python >= 2.7.8` I have a project that uses both `snowpark-python` and `feast`, and this restriction by `feast` on `snowflake-connector-python<=2.7.8` is preventing an upgrade to `snowpark-python==0.10` which now requires `snowflake-connector-python>=2.7.12`. I would like to know whether this requirement is still valid or whether it can be eased to allow newer versions of `snowflake-connector-python`. https://github.com/feast-dev/feast/blob/769c31869eb8d9bb693f8a2876cc68b8cdd16521/setup.py#L99
cowrie__cowrie-392
[ { "content": "# Copyright (C) 2015, 2016 GoSecure Inc.\n\"\"\"\nTelnet Transport and Authentication for the Honeypot\n\n@author: Olivier Bilodeau <[email protected]>\n\"\"\"\n\nimport struct\nimport time\nimport uuid\nimport inspect\nimport random\n\nfrom twisted.python import log\nfrom twisted.internet import protocol\nfrom twisted.conch.telnet import AuthenticatingTelnetProtocol, ECHO, TRAPSIG, \\\n ITelnetProtocol, ProtocolTransportMixin, \\\n SGA, NAWS, MODE, LINEMODE, TelnetTransport, AlreadyNegotiating\nfrom twisted.protocols.policies import TimeoutMixin\n\nfrom cowrie.core.credentials import UsernamePasswordIP\n\nclass HoneyPotTelnetFactory(protocol.ServerFactory):\n \"\"\"\n This factory creates HoneyPotTelnetAuthProtocol instances\n They listen directly to the TCP port\n \"\"\"\n tac = None # gets set later\n\n def __init__(self, cfg):\n self.cfg = cfg\n\n\n # TODO logging clarity can be improved: see what SSH does\n def logDispatch(self, *msg, **args):\n \"\"\"\n Special delivery to the loggers to avoid scope problems\n \"\"\"\n args['sessionno'] = 'T'+str(args['sessionno'])\n for dblog in self.tac.dbloggers:\n dblog.logDispatch(*msg, **args)\n for output in self.tac.output_plugins:\n output.logDispatch(*msg, **args)\n\n\n def startFactory(self):\n \"\"\"\n \"\"\"\n try:\n honeyfs = self.portal.realm.cfg.get('honeypot', 'contents_path')\n issuefile = honeyfs + \"/etc/issue.net\"\n self.banner = open(issuefile).read()\n except IOError:\n self.banner = \"\"\n\n # For use by the uptime command\n self.starttime = time.time()\n\n # hook protocol\n self.protocol = lambda: CowrieTelnetTransport(HoneyPotTelnetAuthProtocol,\n self.portal)\n protocol.ServerFactory.startFactory(self)\n log.msg(\"Ready to accept Telnet connections\")\n\n\n def stopFactory(self):\n \"\"\"\n Stop output plugins\n \"\"\"\n protocol.ServerFactory.stopFactory(self)\n\n\nclass HoneyPotTelnetAuthProtocol(AuthenticatingTelnetProtocol):\n \"\"\"\n TelnetAuthProtocol that takes care of Authentication. Once authenticated this\n protocol is replaced with HoneyPotTelnetSession.\n \"\"\"\n\n loginPrompt = 'login: '\n passwordPrompt = 'Password: '\n windowSize = [40, 80]\n\n def connectionMade(self):\n \"\"\"\n \"\"\"\n self.transport.negotiationMap[NAWS] = self.telnet_NAWS\n # Initial option negotation. Want something at least for Mirai\n for opt in (NAWS,):\n self.transport.doChain(opt).addErrback(log.err)\n\n # I need to doubly escape here since my underlying\n # CowrieTelnetTransport hack would remove it and leave just \\n\n self.transport.write(self.factory.banner.replace('\\n', '\\r\\r\\n'))\n self.transport.write(self.loginPrompt)\n\n\n def connectionLost(self, reason):\n \"\"\"\n Fires on pre-authentication disconnects\n \"\"\"\n AuthenticatingTelnetProtocol.connectionLost(self, reason)\n\n\n def telnet_User(self, line):\n \"\"\"\n Overridden to conditionally kill 'WILL ECHO' which confuses clients\n that don't implement a proper Telnet protocol (most malware)\n \"\"\"\n self.username = line\n # only send ECHO option if we are chatting with a real Telnet client\n #if self.transport.options: <-- doesn't work\n self.transport.willChain(ECHO)\n # FIXME: this should be configurable or provided via filesystem\n self.transport.write(self.passwordPrompt)\n return 'Password'\n\n\n def telnet_Password(self, line):\n username, password = self.username, line\n del self.username\n def login(ignored):\n self.src_ip = self.transport.getPeer().host\n creds = UsernamePasswordIP(username, password, self.src_ip)\n d = self.portal.login(creds, self.src_ip, ITelnetProtocol)\n d.addCallback(self._cbLogin)\n d.addErrback(self._ebLogin)\n\n # are we dealing with a real Telnet client?\n if self.transport.options:\n # stop ECHO\n # even if ECHO negotiation fails we still want to attempt a login\n # this allows us to support dumb clients which is common in malware\n # thus the addBoth: on success and on exception (AlreadyNegotiating)\n self.transport.wontChain(ECHO).addBoth(login)\n else:\n # process login\n login('')\n\n return 'Discard'\n\n def _cbLogin(self, ial):\n \"\"\"\n Fired on a successful login\n \"\"\"\n interface, protocol, logout = ial\n protocol.windowSize = self.windowSize\n self.protocol = protocol\n self.logout = logout\n self.state = 'Command'\n\n # Remove the short timeout of the login prompt. Timeout will be\n # provided later by the HoneyPotBaseProtocol class.\n self.transport.setTimeout(None)\n\n # replace myself with avatar protocol\n protocol.makeConnection(self.transport)\n self.transport.protocol = protocol\n\n\n def _ebLogin(self, failure):\n # TODO: provide a way to have user configurable strings for wrong password\n self.transport.wontChain(ECHO)\n self.transport.write(\"\\nLogin incorrect\\n\")\n self.transport.write(self.loginPrompt)\n self.state = \"User\"\n\n # From TelnetBootstrapProtocol in twisted/conch/telnet.py\n def telnet_NAWS(self, data):\n if len(data) == 4:\n width, height = struct.unpack('!HH', b''.join(data))\n self.windowSize = [height, width]\n else:\n log.msg(\"Wrong number of NAWS bytes\")\n\n def enableLocal(self, opt):\n if opt == ECHO:\n return True\n elif opt == SGA:\n return True\n else:\n return False\n\n\n def enableRemote(self, opt):\n if opt == LINEMODE:\n self.transport.requestNegotiation(LINEMODE, MODE + chr(TRAPSIG))\n return True\n elif opt == NAWS:\n return True\n elif opt == SGA:\n return True\n else:\n return False\n\n\n\nclass CowrieTelnetTransport(TelnetTransport, TimeoutMixin):\n \"\"\"\n \"\"\"\n def connectionMade(self):\n self.transportId = uuid.uuid4().hex[:8]\n sessionno = self.transport.sessionno\n self.startTime = time.time()\n self.setTimeout(300)\n\n log.msg(eventid='cowrie.session.connect',\n format='New connection: %(src_ip)s:%(src_port)s (%(dst_ip)s:%(dst_port)s) [session: T%(sessionno)s]',\n src_ip=self.transport.getPeer().host, src_port=self.transport.getPeer().port,\n dst_ip=self.transport.getHost().host, dst_port=self.transport.getHost().port,\n session=self.transportId, sessionno='T'+str(sessionno))\n TelnetTransport.connectionMade(self)\n\n\n def write(self, bytes):\n \"\"\"\n Because of the presence of two ProtocolTransportMixin in the protocol\n stack once authenticated, I need to override write() and remove a \\r\n otherwise we end up with \\r\\r\\n on the wire.\n\n It is kind of a hack. I asked for a better solution here:\n http://stackoverflow.com/questions/35087250/twisted-telnet-server-how-to-avoid-nested-crlf\n \"\"\"\n self.transport.write(bytes.replace('\\r\\n', '\\n'))\n\n\n def connectionLost(self, reason):\n \"\"\"\n Fires on pre-authentication disconnects\n \"\"\"\n self.setTimeout(None)\n TelnetTransport.connectionLost(self, reason)\n duration = time.time() - self.startTime\n log.msg(eventid='cowrie.session.closed',\n format='Connection lost after %(duration)d seconds',\n duration=duration)\n\n def willChain(self, option):\n return self._chainNegotiation(None, self.will, option)\n\n def wontChain(self, option):\n return self._chainNegotiation(None, self.wont, option)\n\n def doChain(self, option):\n return self._chainNegotiation(None, self.do, option)\n\n def dontChain(self, option):\n return self._chainNegotiation(None, self.dont, option)\n\n def _handleNegotiationError(self, f, func, option):\n if f.type is AlreadyNegotiating:\n s = self.getOptionState(option)\n if func in (self.do, self.dont):\n s.him.onResult.addCallback(self._chainNegotiation, func, option)\n s.him.onResult.addErrback(self._handleNegotiationError, func, option)\n if func in (self.will, self.wont):\n s.us.onResult.addCallback(self._chainNegotiation, func, option)\n s.us.onResult.addErrback(self._handleNegotiationError, func, option)\n # We only care about AlreadyNegotiating, everything else can be ignored\n # Possible other types include OptionRefused, AlreadyDisabled, AlreadyEnabled, ConnectionDone, ConnectionLost\n elif f.type is AssertionError:\n log.err('Client tried to illegally refuse to disable an option; ignoring, but undefined behavior may result')\n # TODO: Is ignoring this violation of the protocol the proper behavior?\n # Should the connection be terminated instead?\n # The telnetd package on Ubuntu (netkit-telnet) does all negotiation before sending the login prompt,\n # but does handle client-initiated negotiation at any time.\n return None # This Failure has been handled, no need to continue processing errbacks\n\n def _chainNegotiation(self, res, func, option):\n return func(option).addErrback(self._handleNegotiationError, func, option)\n", "path": "cowrie/telnet/transport.py" } ]
[ { "content": "# Copyright (C) 2015, 2016 GoSecure Inc.\n\"\"\"\nTelnet Transport and Authentication for the Honeypot\n\n@author: Olivier Bilodeau <[email protected]>\n\"\"\"\n\nimport struct\nimport time\nimport uuid\nimport inspect\nimport random\n\nfrom twisted.python import log\nfrom twisted.internet import protocol\nfrom twisted.conch.telnet import AuthenticatingTelnetProtocol, ECHO, TRAPSIG, \\\n ITelnetProtocol, ProtocolTransportMixin, \\\n SGA, NAWS, MODE, LINEMODE, TelnetTransport, AlreadyNegotiating\nfrom twisted.protocols.policies import TimeoutMixin\n\nfrom cowrie.core.credentials import UsernamePasswordIP\n\nclass HoneyPotTelnetFactory(protocol.ServerFactory):\n \"\"\"\n This factory creates HoneyPotTelnetAuthProtocol instances\n They listen directly to the TCP port\n \"\"\"\n tac = None # gets set later\n\n def __init__(self, cfg):\n self.cfg = cfg\n\n\n # TODO logging clarity can be improved: see what SSH does\n def logDispatch(self, *msg, **args):\n \"\"\"\n Special delivery to the loggers to avoid scope problems\n \"\"\"\n args['sessionno'] = 'T'+str(args['sessionno'])\n for dblog in self.tac.dbloggers:\n dblog.logDispatch(*msg, **args)\n for output in self.tac.output_plugins:\n output.logDispatch(*msg, **args)\n\n\n def startFactory(self):\n \"\"\"\n \"\"\"\n try:\n honeyfs = self.portal.realm.cfg.get('honeypot', 'contents_path')\n issuefile = honeyfs + \"/etc/issue.net\"\n self.banner = open(issuefile).read()\n except IOError:\n self.banner = \"\"\n\n # For use by the uptime command\n self.starttime = time.time()\n\n # hook protocol\n self.protocol = lambda: CowrieTelnetTransport(HoneyPotTelnetAuthProtocol,\n self.portal)\n protocol.ServerFactory.startFactory(self)\n log.msg(\"Ready to accept Telnet connections\")\n\n\n def stopFactory(self):\n \"\"\"\n Stop output plugins\n \"\"\"\n protocol.ServerFactory.stopFactory(self)\n\n\nclass HoneyPotTelnetAuthProtocol(AuthenticatingTelnetProtocol):\n \"\"\"\n TelnetAuthProtocol that takes care of Authentication. Once authenticated this\n protocol is replaced with HoneyPotTelnetSession.\n \"\"\"\n\n loginPrompt = 'login: '\n passwordPrompt = 'Password: '\n windowSize = [40, 80]\n\n def connectionMade(self):\n \"\"\"\n \"\"\"\n self.transport.negotiationMap[NAWS] = self.telnet_NAWS\n # Initial option negotation. Want something at least for Mirai\n for opt in (NAWS,):\n self.transport.doChain(opt).addErrback(log.err)\n\n # I need to doubly escape here since my underlying\n # CowrieTelnetTransport hack would remove it and leave just \\n\n self.transport.write(self.factory.banner.replace('\\n', '\\r\\r\\n'))\n self.transport.write(self.loginPrompt)\n\n\n def connectionLost(self, reason):\n \"\"\"\n Fires on pre-authentication disconnects\n \"\"\"\n AuthenticatingTelnetProtocol.connectionLost(self, reason)\n\n\n def telnet_User(self, line):\n \"\"\"\n Overridden to conditionally kill 'WILL ECHO' which confuses clients\n that don't implement a proper Telnet protocol (most malware)\n \"\"\"\n self.username = line\n # only send ECHO option if we are chatting with a real Telnet client\n #if self.transport.options: <-- doesn't work\n self.transport.willChain(ECHO)\n # FIXME: this should be configurable or provided via filesystem\n self.transport.write(self.passwordPrompt)\n return 'Password'\n\n\n def telnet_Password(self, line):\n username, password = self.username, line\n del self.username\n def login(ignored):\n self.src_ip = self.transport.getPeer().host\n creds = UsernamePasswordIP(username, password, self.src_ip)\n d = self.portal.login(creds, self.src_ip, ITelnetProtocol)\n d.addCallback(self._cbLogin)\n d.addErrback(self._ebLogin)\n\n # are we dealing with a real Telnet client?\n if self.transport.options:\n # stop ECHO\n # even if ECHO negotiation fails we still want to attempt a login\n # this allows us to support dumb clients which is common in malware\n # thus the addBoth: on success and on exception (AlreadyNegotiating)\n self.transport.wontChain(ECHO).addBoth(login)\n else:\n # process login\n login('')\n\n return 'Discard'\n\n def telnet_Command(self, command):\n self.transport.protocol.dataReceived(command+'\\r')\n return \"Command\"\n\n def _cbLogin(self, ial):\n \"\"\"\n Fired on a successful login\n \"\"\"\n interface, protocol, logout = ial\n protocol.windowSize = self.windowSize\n self.protocol = protocol\n self.logout = logout\n self.state = 'Command'\n\n # Remove the short timeout of the login prompt. Timeout will be\n # provided later by the HoneyPotBaseProtocol class.\n self.transport.setTimeout(None)\n\n # replace myself with avatar protocol\n protocol.makeConnection(self.transport)\n self.transport.protocol = protocol\n\n\n def _ebLogin(self, failure):\n # TODO: provide a way to have user configurable strings for wrong password\n self.transport.wontChain(ECHO)\n self.transport.write(\"\\nLogin incorrect\\n\")\n self.transport.write(self.loginPrompt)\n self.state = \"User\"\n\n # From TelnetBootstrapProtocol in twisted/conch/telnet.py\n def telnet_NAWS(self, data):\n if len(data) == 4:\n width, height = struct.unpack('!HH', b''.join(data))\n self.windowSize = [height, width]\n else:\n log.msg(\"Wrong number of NAWS bytes\")\n\n def enableLocal(self, opt):\n if opt == ECHO:\n return True\n elif opt == SGA:\n return True\n else:\n return False\n\n\n def enableRemote(self, opt):\n if opt == LINEMODE:\n self.transport.requestNegotiation(LINEMODE, MODE + chr(TRAPSIG))\n return True\n elif opt == NAWS:\n return True\n elif opt == SGA:\n return True\n else:\n return False\n\n\n\nclass CowrieTelnetTransport(TelnetTransport, TimeoutMixin):\n \"\"\"\n \"\"\"\n def connectionMade(self):\n self.transportId = uuid.uuid4().hex[:8]\n sessionno = self.transport.sessionno\n self.startTime = time.time()\n self.setTimeout(300)\n\n log.msg(eventid='cowrie.session.connect',\n format='New connection: %(src_ip)s:%(src_port)s (%(dst_ip)s:%(dst_port)s) [session: T%(sessionno)s]',\n src_ip=self.transport.getPeer().host, src_port=self.transport.getPeer().port,\n dst_ip=self.transport.getHost().host, dst_port=self.transport.getHost().port,\n session=self.transportId, sessionno='T'+str(sessionno))\n TelnetTransport.connectionMade(self)\n\n\n def write(self, bytes):\n \"\"\"\n Because of the presence of two ProtocolTransportMixin in the protocol\n stack once authenticated, I need to override write() and remove a \\r\n otherwise we end up with \\r\\r\\n on the wire.\n\n It is kind of a hack. I asked for a better solution here:\n http://stackoverflow.com/questions/35087250/twisted-telnet-server-how-to-avoid-nested-crlf\n \"\"\"\n self.transport.write(bytes.replace('\\r\\n', '\\n'))\n\n\n def connectionLost(self, reason):\n \"\"\"\n Fires on pre-authentication disconnects\n \"\"\"\n self.setTimeout(None)\n TelnetTransport.connectionLost(self, reason)\n duration = time.time() - self.startTime\n log.msg(eventid='cowrie.session.closed',\n format='Connection lost after %(duration)d seconds',\n duration=duration)\n\n def willChain(self, option):\n return self._chainNegotiation(None, self.will, option)\n\n def wontChain(self, option):\n return self._chainNegotiation(None, self.wont, option)\n\n def doChain(self, option):\n return self._chainNegotiation(None, self.do, option)\n\n def dontChain(self, option):\n return self._chainNegotiation(None, self.dont, option)\n\n def _handleNegotiationError(self, f, func, option):\n if f.type is AlreadyNegotiating:\n s = self.getOptionState(option)\n if func in (self.do, self.dont):\n s.him.onResult.addCallback(self._chainNegotiation, func, option)\n s.him.onResult.addErrback(self._handleNegotiationError, func, option)\n if func in (self.will, self.wont):\n s.us.onResult.addCallback(self._chainNegotiation, func, option)\n s.us.onResult.addErrback(self._handleNegotiationError, func, option)\n # We only care about AlreadyNegotiating, everything else can be ignored\n # Possible other types include OptionRefused, AlreadyDisabled, AlreadyEnabled, ConnectionDone, ConnectionLost\n elif f.type is AssertionError:\n log.err('Client tried to illegally refuse to disable an option; ignoring, but undefined behavior may result')\n # TODO: Is ignoring this violation of the protocol the proper behavior?\n # Should the connection be terminated instead?\n # The telnetd package on Ubuntu (netkit-telnet) does all negotiation before sending the login prompt,\n # but does handle client-initiated negotiation at any time.\n return None # This Failure has been handled, no need to continue processing errbacks\n\n def _chainNegotiation(self, res, func, option):\n return func(option).addErrback(self._handleNegotiationError, func, option)\n", "path": "cowrie/telnet/transport.py" } ]
diff --git a/cowrie/telnet/transport.py b/cowrie/telnet/transport.py index 7bffe7646f..a2f0a96838 100644 --- a/cowrie/telnet/transport.py +++ b/cowrie/telnet/transport.py @@ -138,6 +138,10 @@ def login(ignored): return 'Discard' + def telnet_Command(self, command): + self.transport.protocol.dataReceived(command+'\r') + return "Command" + def _cbLogin(self, ial): """ Fired on a successful login
HoneyPotTelnetAuthProtocol instance has no attribute 'telnet_Command' Environment: Python 2.7.12, twistd 16.0.0 Log: > 2016-12-21 13:30:48-0800 [cowrie.telnet.transport.HoneyPotTelnetFactory] New connection: xx.xxx.x.xxx:xxxxx (xxx.xx.x.x:2223) [session: TT130] 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] login attempt [/888888] failed 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] Warning: state changed and new state returned 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] login attempt [888888/shell] succeeded 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] Opening TTY Log: /opt/share/events/tty/20161221-133048-None-130i.log 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] Warning: state changed and new state returned 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] Unhandled Error Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/twisted/python/log.py", line 101, in callWithLogger return callWithContext({"system": lp}, func, *args, **kw) File "/usr/lib/python2.7/dist-packages/twisted/python/log.py", line 84, in callWithContext return context.call({ILogContext: newCtx}, func, *args, **kw) File "/usr/lib/python2.7/dist-packages/twisted/python/context.py", line 118, in callWithContext return self.currentContext().callWithContext(ctx, func, *args, **kw) File "/usr/lib/python2.7/dist-packages/twisted/python/context.py", line 81, in callWithContext return func(*args,**kw) --- <exception caught here> --- File "/usr/lib/python2.7/dist-packages/twisted/internet/posixbase.py", line 597, in _doReadOrWrite why = selectable.doRead() File "/usr/lib/python2.7/dist-packages/twisted/internet/tcp.py", line 209, in doRead return self._dataReceived(data) File "/usr/lib/python2.7/dist-packages/twisted/internet/tcp.py", line 215, in _dataReceived rval = self.protocol.dataReceived(data) File "/usr/lib/python2.7/dist-packages/twisted/conch/telnet.py", line 589, in dataReceived self.applicationDataReceived(''.join(appDataBuffer)) File "/usr/lib/python2.7/dist-packages/twisted/conch/telnet.py", line 898, in applicationDataReceived self.protocol.dataReceived(bytes) File "/usr/lib/python2.7/dist-packages/twisted/protocols/basic.py", line 571, in dataReceived why = self.lineReceived(line) File "/usr/lib/python2.7/dist-packages/twisted/conch/telnet.py", line 1000, in lineReceived newState = getattr(self, "telnet_" + oldState)(line) exceptions.AttributeError: HoneyPotTelnetAuthProtocol instance has no attribute 'telnet_Command' 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] Closing TTY Log: /opt/share/events/tty/20161221-133048-None-130i.log after 0 seconds 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] honeypot terminal protocol connection lost [Failure instance: Traceback (failure with no frames): <type 'excepti ons.AttributeError'>: HoneyPotTelnetAuthProtocol instance has no attribute 'telnet_Command' ] 2016-12-21 13:30:48-0800 [CowrieTelnetTransport,130,xx.xxx.x.xxx] Connection lost after 0 seconds
opendatacube__datacube-core-534
[ { "content": "#!/usr/bin/env python\n\nimport versioneer\nfrom setuptools import setup, find_packages\nimport os\n\ntests_require = [\n 'compliance-checker',\n 'hypothesis',\n 'mock',\n 'objgraph',\n 'pycodestyle',\n 'pylint',\n 'pytest',\n 'pytest-cov',\n 'pytest-timeout',\n]\n\nextras_require = {\n 'performance': ['ciso8601', 'bottleneck'],\n 'interactive': ['matplotlib', 'fiona'],\n 'distributed': ['distributed', 'dask[distributed]'],\n 'doc': ['Sphinx', 'setuptools'],\n 'replicas': ['paramiko', 'sshtunnel', 'tqdm'],\n 'celery': ['celery>=4', 'redis'],\n 's3': ['boto3', 'SharedArray', 'pathos', 'zstandard'],\n 'test': tests_require,\n}\n# An 'all' option, following ipython naming conventions.\nextras_require['all'] = sorted(set(sum(extras_require.values(), [])))\n\nextra_plugins = dict(read=[], write=[], index=[])\n\nif os.name != 'nt':\n extra_plugins['read'].extend([\n 's3aio = datacube.drivers.s3.driver:reader_driver_init [s3]',\n 's3aio_test = datacube.drivers.s3.driver:reader_test_driver_init [s3]',\n ])\n extra_plugins['write'].extend([\n 's3aio = datacube.drivers.s3.driver:writer_driver_init [s3]',\n 's3aio_test = datacube.drivers.s3.driver:writer_test_driver_init [s3]',\n ])\n\n extra_plugins['index'].extend([\n 's3aio_index = datacube.drivers.s3aio_index:index_driver_init [s3]',\n ])\n\nsetup(\n name='datacube',\n version=versioneer.get_version(),\n cmdclass=versioneer.get_cmdclass(),\n python_requires='>=3.5.2',\n\n url='https://github.com/opendatacube/datacube-core',\n author='Open Data Cube',\n maintainer='Open Data Cube',\n maintainer_email='',\n description='An analysis environment for satellite and other earth observation data',\n long_description=open('README.rst').read(),\n license='Apache License 2.0',\n classifiers=[\n \"Development Status :: 4 - Beta\",\n \"Intended Audience :: Developers\",\n \"Intended Audience :: Science/Research\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Natural Language :: English\",\n \"Operating System :: MacOS :: MacOS X\",\n \"Operating System :: POSIX\",\n \"Operating System :: POSIX :: BSD\",\n \"Operating System :: POSIX :: Linux\",\n \"Operating System :: Microsoft :: Windows\",\n \"Programming Language :: Python\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.5\",\n \"Programming Language :: Python :: 3.6\",\n \"Topic :: Scientific/Engineering :: GIS\",\n \"Topic :: Scientific/Engineering :: Information Analysis\",\n ],\n\n packages=find_packages(\n exclude=('tests', 'tests.*',\n 'integration_tests', 'integration_tests.*')\n ),\n package_data={\n '': ['*.yaml', '*/*.yaml'],\n },\n scripts=[\n 'datacube_apps/scripts/pbs_helpers.sh'\n ],\n setup_requires=[\n 'pytest-runner'\n ],\n install_requires=[\n 'affine',\n 'cachetools',\n 'click>=5.0',\n 'cloudpickle>=0.4',\n 'dask[array]',\n 'gdal>=1.9',\n 'jsonschema',\n 'netcdf4',\n 'numpy',\n 'psycopg2',\n 'pypeg2',\n 'python-dateutil',\n 'pyyaml',\n 'rasterio~=1.0',\n 'singledispatch',\n 'sqlalchemy',\n 'toolz',\n 'xarray>=0.9', # >0.9 fixes most problems with `crs` attributes being lost\n ],\n extras_require=extras_require,\n tests_require=tests_require,\n\n entry_points={\n 'console_scripts': [\n 'datacube = datacube.scripts.cli_app:cli',\n 'datacube-search = datacube.scripts.search_tool:cli',\n 'datacube-stacker = datacube_apps.stacker:main',\n 'datacube-worker = datacube.execution.worker:main',\n 'datacube-fixer = datacube_apps.stacker:fixer_main',\n 'datacube-ncml = datacube_apps.ncml:ncml_app',\n 'pixeldrill = datacube_apps.pixeldrill:main [interactive]',\n 'movie_generator = datacube_apps.movie_generator:main',\n 'datacube-simple-replica = datacube_apps.simple_replica:replicate [replicas]'\n ],\n 'datacube.plugins.io.read': [\n 'netcdf = datacube.drivers.netcdf.driver:reader_driver_init',\n *extra_plugins['read'],\n ],\n 'datacube.plugins.io.write': [\n 'netcdf = datacube.drivers.netcdf.driver:writer_driver_init',\n *extra_plugins['write'],\n ],\n 'datacube.plugins.index': [\n 'default = datacube.index.index:index_driver_init',\n *extra_plugins['index'],\n ],\n },\n)\n", "path": "setup.py" } ]
[ { "content": "#!/usr/bin/env python\n\nimport versioneer\nfrom setuptools import setup, find_packages\nimport os\n\ntests_require = [\n 'compliance-checker',\n 'hypothesis',\n 'mock',\n 'objgraph',\n 'pycodestyle',\n 'pylint',\n 'pytest',\n 'pytest-cov',\n 'pytest-timeout',\n]\n\nextras_require = {\n 'performance': ['ciso8601', 'bottleneck'],\n 'interactive': ['matplotlib', 'fiona'],\n 'distributed': ['distributed', 'dask[distributed]'],\n 'doc': ['Sphinx', 'setuptools'],\n 'replicas': ['paramiko', 'sshtunnel', 'tqdm'],\n 'celery': ['celery>=4', 'redis'],\n 's3': ['boto3', 'SharedArray', 'pathos', 'zstandard'],\n 'test': tests_require,\n}\n# An 'all' option, following ipython naming conventions.\nextras_require['all'] = sorted(set(sum(extras_require.values(), [])))\n\nextra_plugins = dict(read=[], write=[], index=[])\n\nif os.name != 'nt':\n extra_plugins['read'].extend([\n 's3aio = datacube.drivers.s3.driver:reader_driver_init [s3]',\n 's3aio_test = datacube.drivers.s3.driver:reader_test_driver_init [s3]',\n ])\n extra_plugins['write'].extend([\n 's3aio = datacube.drivers.s3.driver:writer_driver_init [s3]',\n 's3aio_test = datacube.drivers.s3.driver:writer_test_driver_init [s3]',\n ])\n\n extra_plugins['index'].extend([\n 's3aio_index = datacube.drivers.s3aio_index:index_driver_init [s3]',\n ])\n\nsetup(\n name='datacube',\n version=versioneer.get_version(),\n cmdclass=versioneer.get_cmdclass(),\n python_requires='>=3.5.2',\n\n url='https://github.com/opendatacube/datacube-core',\n author='Open Data Cube',\n maintainer='Open Data Cube',\n maintainer_email='',\n description='An analysis environment for satellite and other earth observation data',\n long_description=open('README.rst').read(),\n license='Apache License 2.0',\n classifiers=[\n \"Development Status :: 4 - Beta\",\n \"Intended Audience :: Developers\",\n \"Intended Audience :: Science/Research\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Natural Language :: English\",\n \"Operating System :: MacOS :: MacOS X\",\n \"Operating System :: POSIX\",\n \"Operating System :: POSIX :: BSD\",\n \"Operating System :: POSIX :: Linux\",\n \"Operating System :: Microsoft :: Windows\",\n \"Programming Language :: Python\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.5\",\n \"Programming Language :: Python :: 3.6\",\n \"Topic :: Scientific/Engineering :: GIS\",\n \"Topic :: Scientific/Engineering :: Information Analysis\",\n ],\n\n packages=find_packages(\n exclude=('tests', 'tests.*',\n 'integration_tests', 'integration_tests.*')\n ),\n package_data={\n '': ['*.yaml', '*/*.yaml'],\n },\n scripts=[\n 'datacube_apps/scripts/pbs_helpers.sh'\n ],\n setup_requires=[\n 'pytest-runner'\n ],\n install_requires=[\n 'affine',\n 'cachetools',\n 'click>=5.0',\n 'cloudpickle>=0.4',\n 'dask[array]',\n 'gdal>=1.9',\n 'jsonschema',\n 'netcdf4',\n 'numpy',\n 'psycopg2',\n 'pypeg2',\n 'python-dateutil',\n 'pyyaml',\n 'rasterio>=1.0.2', # Multi-band re-project fixed in that version\n 'singledispatch',\n 'sqlalchemy',\n 'toolz',\n 'xarray>=0.9', # >0.9 fixes most problems with `crs` attributes being lost\n ],\n extras_require=extras_require,\n tests_require=tests_require,\n\n entry_points={\n 'console_scripts': [\n 'datacube = datacube.scripts.cli_app:cli',\n 'datacube-search = datacube.scripts.search_tool:cli',\n 'datacube-stacker = datacube_apps.stacker:main',\n 'datacube-worker = datacube.execution.worker:main',\n 'datacube-fixer = datacube_apps.stacker:fixer_main',\n 'datacube-ncml = datacube_apps.ncml:ncml_app',\n 'pixeldrill = datacube_apps.pixeldrill:main [interactive]',\n 'movie_generator = datacube_apps.movie_generator:main',\n 'datacube-simple-replica = datacube_apps.simple_replica:replicate [replicas]'\n ],\n 'datacube.plugins.io.read': [\n 'netcdf = datacube.drivers.netcdf.driver:reader_driver_init',\n *extra_plugins['read'],\n ],\n 'datacube.plugins.io.write': [\n 'netcdf = datacube.drivers.netcdf.driver:writer_driver_init',\n *extra_plugins['write'],\n ],\n 'datacube.plugins.index': [\n 'default = datacube.index.index:index_driver_init',\n *extra_plugins['index'],\n ],\n },\n)\n", "path": "setup.py" } ]
diff --git a/requirements-test.txt b/requirements-test.txt index 5551aad07c..62ed753cb0 100644 --- a/requirements-test.txt +++ b/requirements-test.txt @@ -67,7 +67,7 @@ python-dateutil==2.7.2 pytz==2018.4 pytzdata==2018.4 PyYAML==3.12 -rasterio==1.0a12 +rasterio==1.0.2 redis==2.10.6 regex==2017.7.28 requests==2.18.4 diff --git a/rtd-environment.yml b/rtd-environment.yml index 608648613a..d890cac2b3 100644 --- a/rtd-environment.yml +++ b/rtd-environment.yml @@ -1,6 +1,5 @@ name: odc channels: -- conda-forge/label/dev - conda-forge - defaults - nodefaults @@ -13,7 +12,7 @@ dependencies: - cachetools - cloudpickle >= 0.4.0 # pickle logger objects - numpy -- rasterio >= 0.9a10 # to handle weird 1.0a ordering... +- rasterio >= 1.0.2 # multi-band reproject bugs got fixed in that version - singledispatch - netcdf4 - psycopg2 diff --git a/setup.py b/setup.py index 906753003b..b78f8d5046 100755 --- a/setup.py +++ b/setup.py @@ -104,7 +104,7 @@ 'pypeg2', 'python-dateutil', 'pyyaml', - 'rasterio~=1.0', + 'rasterio>=1.0.2', # Multi-band re-project fixed in that version 'singledispatch', 'sqlalchemy', 'toolz',
Pin rasterio >= 1.0.2 There are some issues with rasterio that are fixed with 1.0.2 (See: https://github.com/opendatacube/datacube-core/pull/531#pullrequestreview-143845097). Files to change: - setup.py - requirements.txt - rtd-environment.yml (this also needs the conda-forge/label/dev channel removed with the change)
huggingface__trl-513
[ { "content": "# Copyright 2023 The HuggingFace Team. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport warnings\nfrom typing import Any, Callable, Dict, List, Optional, Tuple, Union\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nfrom datasets import Dataset\nfrom transformers import DataCollator, PreTrainedModel, PreTrainedTokenizerBase, Trainer, TrainingArguments\nfrom transformers.trainer_callback import TrainerCallback\nfrom transformers.trainer_pt_utils import nested_detach\nfrom transformers.trainer_utils import EvalPrediction\n\nfrom ..import_utils import is_peft_available\nfrom .utils import PeftSavingCallback, RewardDataCollatorWithPadding\n\n\nif is_peft_available():\n from peft import PeftModel, get_peft_model\n\n\ndef compute_accuracy(eval_pred) -> Dict[str, float]:\n predictions, labels = eval_pred\n # Here, predictions is rewards_chosen and rewards_rejected.\n # We want to see how much of the time rewards_chosen > rewards_rejected.\n predictions = np.argmax(predictions, axis=1)\n\n accuracy = np.array(predictions == labels, dtype=float).mean().item()\n return {\"accuracy\": accuracy}\n\n\nclass RewardTrainer(Trainer):\n r\"\"\"\n The RewardTrainer can be used to train your custom Reward Model. It is a subclass of the\n `transformers.Trainer` class and inherits all of its attributes and methods. It is recommended to use\n an `AutoModelForSequenceClassification` as the reward model. The reward model should be trained on a dataset\n of paired examples, where each example is a tuple of two sequences. The reward model should be trained to\n predict which example in the pair is more relevant to the task at hand.\n\n The reward trainer expects a very specific format for the dataset. The dataset should contain two 4 entries at least\n if you don't use the default `RewardDataCollatorWithPadding` data collator. The entries should be named\n - `input_ids_chosen`\n - `attention_mask_chosen`\n - `input_ids_rejected`\n - `attention_mask_rejected`\n\n \"\"\"\n\n def __init__(\n self,\n model: Union[PreTrainedModel, nn.Module] = None,\n args: TrainingArguments = None,\n data_collator: Optional[DataCollator] = None,\n train_dataset: Optional[Dataset] = None,\n eval_dataset: Optional[Union[Dataset, Dict[str, Dataset]]] = None,\n tokenizer: Optional[PreTrainedTokenizerBase] = None,\n model_init: Optional[Callable[[], PreTrainedModel]] = None,\n compute_metrics: Optional[Callable[[EvalPrediction], Dict]] = None,\n callbacks: Optional[List[TrainerCallback]] = None,\n optimizers: Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR] = (None, None),\n preprocess_logits_for_metrics: Optional[Callable[[torch.Tensor, torch.Tensor], torch.Tensor]] = None,\n max_length: Optional[int] = None,\n peft_config: Optional[Dict] = None,\n ):\n \"\"\"\n Initialize RewardTrainer.\n\n Args:\n model (`transformers.PreTrainedModel`):\n The model to train, preferably an `AutoModelForSequenceClassification`.\n args (`transformers.TrainingArguments`):\n The arguments to use for training.\n data_collator (`transformers.DataCollator`):\n The data collator to use for training. If None is specified, the default data collator (`RewardDataCollatorWithPadding`) will be used\n which will pad the sequences to the maximum length of the sequences in the batch, given a dataset of paired sequences.\n train_dataset (`datasets.Dataset`):\n The dataset to use for training.\n eval_dataset (`datasets.Dataset`):\n The dataset to use for evaluation.\n tokenizer (`transformers.PreTrainedTokenizerBase`):\n The tokenizer to use for training. This argument is required if you want to use the default data collator.\n model_init (`Callable[[], transformers.PreTrainedModel]`):\n The model initializer to use for training. If None is specified, the default model initializer will be used.\n compute_metrics (`Callable[[transformers.EvalPrediction], Dict]`, *optional* defaults to `compute_accuracy`):\n The metrics to use for evaluation. If no metrics are specified, the default metric (`compute_accuracy`) will be used.\n callbacks (`List[transformers.TrainerCallback]`):\n The callbacks to use for training.\n optimizers (`Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR]`):\n The optimizer and scheduler to use for training.\n preprocess_logits_for_metrics (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`):\n The function to use to preprocess the logits before computing the metrics.\n max_length (`int`, defaults to `None`):\n The maximum length of the sequences in the batch. This argument is required if you want to use the default data collator.\n peft_config (`Dict`, defaults to `None`):\n The PEFT configuration to use for training. If you pass a PEFT configuration, the model will be wrapped in a PEFT model.\n \"\"\"\n if not is_peft_available() and peft_config is not None:\n raise ValueError(\n \"PEFT is not installed and you passed a `peft_config` in the trainer's kwargs, please install it to use the PEFT models\"\n )\n elif is_peft_available() and peft_config is not None:\n model = get_peft_model(model, peft_config)\n\n if is_peft_available() and callbacks is None and isinstance(model, PeftModel):\n callbacks = [PeftSavingCallback()]\n\n if compute_metrics is None:\n compute_metrics = compute_accuracy\n\n if data_collator is None:\n if tokenizer is None:\n raise ValueError(\n \"max_length or a tokenizer must be specified when using the default RewardDataCollatorWithPadding\"\n )\n if max_length is None:\n warnings.warn(\n \"When using RewardDataCollatorWithPadding, you should set `max_length` in the RewardTrainer's init\"\n \" it will be set to `512` by default, but you should do it yourself in the future.\",\n UserWarning,\n )\n max_length = 512\n data_collator = RewardDataCollatorWithPadding(tokenizer, max_length=max_length)\n\n if args.remove_unused_columns:\n args.remove_unused_columns = False\n # warn users\n warnings.warn(\n \"When using RewardDataCollatorWithPadding, you should set `remove_unused_columns=False` in your TrainingArguments\"\n \" we have set it for you, but you should do it yourself in the future.\",\n UserWarning,\n )\n\n self.use_reward_data_collator = True\n else:\n self.use_reward_data_collator = False\n super().__init__(\n model,\n args,\n data_collator,\n train_dataset,\n eval_dataset,\n tokenizer,\n model_init,\n compute_metrics,\n callbacks,\n optimizers,\n preprocess_logits_for_metrics,\n )\n\n def compute_loss(\n self,\n model: Union[PreTrainedModel, nn.Module],\n inputs: Dict[str, Union[torch.Tensor, Any]],\n return_outputs=False,\n ) -> Union[torch.Tensor, Tuple[torch.Tensor, Dict[str, torch.Tensor]]]:\n if not self.use_reward_data_collator:\n raise NotImplementedError(\n \"compute_loss is only implemented for RewardDataCollatorWithPadding, please implement your own compute_loss method if you are using a custom data collator\"\n )\n rewards_chosen = model(input_ids=inputs[\"input_ids_chosen\"], attention_mask=inputs[\"attention_mask_chosen\"])[0]\n rewards_rejected = model(\n input_ids=inputs[\"input_ids_rejected\"], attention_mask=inputs[\"attention_mask_rejected\"]\n )[0]\n loss = -nn.functional.logsigmoid(rewards_chosen - rewards_rejected).mean()\n if return_outputs:\n return loss, {\"rewards_chosen\": rewards_chosen, \"rewards_rejected\": rewards_rejected}\n return loss\n\n def prediction_step(\n self,\n model: Union[PreTrainedModel, nn.Module],\n inputs: Dict[str, Union[torch.Tensor, Any]],\n prediction_loss_only: bool,\n ignore_keys: Optional[List[str]] = None,\n ) -> Tuple[Optional[torch.Tensor], Optional[torch.Tensor], Optional[torch.Tensor]]:\n inputs = self._prepare_inputs(inputs)\n if ignore_keys is None:\n if hasattr(self.model, \"config\"):\n ignore_keys = getattr(self.model.config, \"keys_to_ignore_at_inference\", [])\n else:\n ignore_keys = []\n\n with torch.no_grad():\n loss, logits_dict = self.compute_loss(model, inputs, return_outputs=True)\n\n if prediction_loss_only:\n return (loss, None, None)\n\n loss = loss.detach()\n logits = tuple(v for k, v in logits_dict.items() if k not in ignore_keys)\n logits = nested_detach(logits)\n # Stack accepted against rejected, mean over logits\n # and softmax to get preferences between accepted and rejected to sum to 1\n logits = torch.stack(logits).mean(dim=2).softmax(dim=0).T\n\n labels = torch.zeros(logits.shape[0])\n\n return loss, logits, labels\n", "path": "trl/trainer/reward_trainer.py" } ]
[ { "content": "# Copyright 2023 The HuggingFace Team. All rights reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport warnings\nfrom typing import Any, Callable, Dict, List, Optional, Tuple, Union\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\nfrom datasets import Dataset\nfrom transformers import DataCollator, PreTrainedModel, PreTrainedTokenizerBase, Trainer, TrainingArguments\nfrom transformers.trainer_callback import TrainerCallback\nfrom transformers.trainer_pt_utils import nested_detach\nfrom transformers.trainer_utils import EvalPrediction\n\nfrom ..import_utils import is_peft_available\nfrom .utils import PeftSavingCallback, RewardDataCollatorWithPadding\n\n\nif is_peft_available():\n from peft import PeftModel, get_peft_model\n\n\ndef compute_accuracy(eval_pred) -> Dict[str, float]:\n predictions, labels = eval_pred\n # Here, predictions is rewards_chosen and rewards_rejected.\n # We want to see how much of the time rewards_chosen > rewards_rejected.\n predictions = np.argmax(predictions, axis=1)\n\n accuracy = np.array(predictions == labels, dtype=float).mean().item()\n return {\"accuracy\": accuracy}\n\n\nclass RewardTrainer(Trainer):\n r\"\"\"\n The RewardTrainer can be used to train your custom Reward Model. It is a subclass of the\n `transformers.Trainer` class and inherits all of its attributes and methods. It is recommended to use\n an `AutoModelForSequenceClassification` as the reward model. The reward model should be trained on a dataset\n of paired examples, where each example is a tuple of two sequences. The reward model should be trained to\n predict which example in the pair is more relevant to the task at hand.\n\n The reward trainer expects a very specific format for the dataset. The dataset should contain two 4 entries at least\n if you don't use the default `RewardDataCollatorWithPadding` data collator. The entries should be named\n - `input_ids_chosen`\n - `attention_mask_chosen`\n - `input_ids_rejected`\n - `attention_mask_rejected`\n\n \"\"\"\n\n def __init__(\n self,\n model: Union[PreTrainedModel, nn.Module] = None,\n args: TrainingArguments = None,\n data_collator: Optional[DataCollator] = None,\n train_dataset: Optional[Dataset] = None,\n eval_dataset: Optional[Union[Dataset, Dict[str, Dataset]]] = None,\n tokenizer: Optional[PreTrainedTokenizerBase] = None,\n model_init: Optional[Callable[[], PreTrainedModel]] = None,\n compute_metrics: Optional[Callable[[EvalPrediction], Dict]] = None,\n callbacks: Optional[List[TrainerCallback]] = None,\n optimizers: Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR] = (None, None),\n preprocess_logits_for_metrics: Optional[Callable[[torch.Tensor, torch.Tensor], torch.Tensor]] = None,\n max_length: Optional[int] = None,\n peft_config: Optional[Dict] = None,\n ):\n \"\"\"\n Initialize RewardTrainer.\n\n Args:\n model (`transformers.PreTrainedModel`):\n The model to train, preferably an `AutoModelForSequenceClassification`.\n args (`transformers.TrainingArguments`):\n The arguments to use for training.\n data_collator (`transformers.DataCollator`):\n The data collator to use for training. If None is specified, the default data collator (`RewardDataCollatorWithPadding`) will be used\n which will pad the sequences to the maximum length of the sequences in the batch, given a dataset of paired sequences.\n train_dataset (`datasets.Dataset`):\n The dataset to use for training.\n eval_dataset (`datasets.Dataset`):\n The dataset to use for evaluation.\n tokenizer (`transformers.PreTrainedTokenizerBase`):\n The tokenizer to use for training. This argument is required if you want to use the default data collator.\n model_init (`Callable[[], transformers.PreTrainedModel]`):\n The model initializer to use for training. If None is specified, the default model initializer will be used.\n compute_metrics (`Callable[[transformers.EvalPrediction], Dict]`, *optional* defaults to `compute_accuracy`):\n The metrics to use for evaluation. If no metrics are specified, the default metric (`compute_accuracy`) will be used.\n callbacks (`List[transformers.TrainerCallback]`):\n The callbacks to use for training.\n optimizers (`Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR]`):\n The optimizer and scheduler to use for training.\n preprocess_logits_for_metrics (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`):\n The function to use to preprocess the logits before computing the metrics.\n max_length (`int`, defaults to `None`):\n The maximum length of the sequences in the batch. This argument is required if you want to use the default data collator.\n peft_config (`Dict`, defaults to `None`):\n The PEFT configuration to use for training. If you pass a PEFT configuration, the model will be wrapped in a PEFT model.\n \"\"\"\n if not is_peft_available() and peft_config is not None:\n raise ValueError(\n \"PEFT is not installed and you passed a `peft_config` in the trainer's kwargs, please install it to use the PEFT models\"\n )\n elif is_peft_available() and peft_config is not None:\n model = get_peft_model(model, peft_config)\n\n if is_peft_available() and callbacks is None and isinstance(model, PeftModel):\n callbacks = [PeftSavingCallback()]\n\n if compute_metrics is None:\n compute_metrics = compute_accuracy\n\n if data_collator is None:\n if tokenizer is None:\n raise ValueError(\n \"max_length or a tokenizer must be specified when using the default RewardDataCollatorWithPadding\"\n )\n if max_length is None:\n warnings.warn(\n \"When using RewardDataCollatorWithPadding, you should set `max_length` in the RewardTrainer's init\"\n \" it will be set to `512` by default, but you should do it yourself in the future.\",\n UserWarning,\n )\n max_length = 512\n data_collator = RewardDataCollatorWithPadding(tokenizer, max_length=max_length)\n\n if args.remove_unused_columns:\n args.remove_unused_columns = False\n # warn users\n warnings.warn(\n \"When using RewardDataCollatorWithPadding, you should set `remove_unused_columns=False` in your TrainingArguments\"\n \" we have set it for you, but you should do it yourself in the future.\",\n UserWarning,\n )\n\n self.use_reward_data_collator = True\n else:\n self.use_reward_data_collator = False\n super().__init__(\n model,\n args,\n data_collator,\n train_dataset,\n eval_dataset,\n tokenizer,\n model_init,\n compute_metrics,\n callbacks,\n optimizers,\n preprocess_logits_for_metrics,\n )\n\n def compute_loss(\n self,\n model: Union[PreTrainedModel, nn.Module],\n inputs: Dict[str, Union[torch.Tensor, Any]],\n return_outputs=False,\n ) -> Union[torch.Tensor, Tuple[torch.Tensor, Dict[str, torch.Tensor]]]:\n if not self.use_reward_data_collator:\n raise NotImplementedError(\n \"compute_loss is only implemented for RewardDataCollatorWithPadding, please implement your own compute_loss method if you are using a custom data collator\"\n )\n rewards_chosen = model(input_ids=inputs[\"input_ids_chosen\"], attention_mask=inputs[\"attention_mask_chosen\"])[0]\n rewards_rejected = model(\n input_ids=inputs[\"input_ids_rejected\"], attention_mask=inputs[\"attention_mask_rejected\"]\n )[0]\n loss = -nn.functional.logsigmoid(rewards_chosen - rewards_rejected).mean()\n if return_outputs:\n return loss, {\"rewards_chosen\": rewards_chosen, \"rewards_rejected\": rewards_rejected}\n return loss\n\n def prediction_step(\n self,\n model: Union[PreTrainedModel, nn.Module],\n inputs: Dict[str, Union[torch.Tensor, Any]],\n prediction_loss_only: bool,\n ignore_keys: Optional[List[str]] = None,\n ) -> Tuple[Optional[torch.Tensor], Optional[torch.Tensor], Optional[torch.Tensor]]:\n inputs = self._prepare_inputs(inputs)\n if ignore_keys is None:\n if hasattr(self.model, \"config\"):\n ignore_keys = getattr(self.model.config, \"keys_to_ignore_at_inference\", [])\n else:\n ignore_keys = []\n\n with torch.no_grad():\n loss, logits_dict = self.compute_loss(model, inputs, return_outputs=True)\n\n if prediction_loss_only:\n return (loss, None, None)\n\n loss = loss.detach()\n logits = tuple(v for k, v in logits_dict.items() if k not in ignore_keys)\n logits = nested_detach(logits)\n # Stack accepted against rejected, mean over logits\n # and softmax to get preferences between accepted and rejected to sum to 1\n logits = torch.stack(logits).mean(dim=2).softmax(dim=0).T\n\n labels = torch.zeros(logits.shape[0])\n labels = self._prepare_inputs(labels)\n\n return loss, logits, labels\n", "path": "trl/trainer/reward_trainer.py" } ]
diff --git a/trl/trainer/reward_trainer.py b/trl/trainer/reward_trainer.py index a984d1c654..73b8091df6 100644 --- a/trl/trainer/reward_trainer.py +++ b/trl/trainer/reward_trainer.py @@ -206,5 +206,6 @@ def prediction_step( logits = torch.stack(logits).mean(dim=2).softmax(dim=0).T labels = torch.zeros(logits.shape[0]) + labels = self._prepare_inputs(labels) return loss, logits, labels
Multi-GPU RuntimeError: Tensors must be CUDA and dense I'm encountering a runtime error in my code from using 8 GPUs and seeking assistance to resolve it. The error message states: "RuntimeError: Tensors must be CUDA and dense." This error happens in the evaluation step. According to this https://github.com/Lightning-AI/lightning/discussions/2529, it seems like I have to move the model/metric to the device, but I couldn't find a way to resolve this through RewardTrainer. Here is the relevant section of the traceback: ``` Traceback (most recent call last): File "/nobackup/jirayu/llama-hh-rlhf/reward_model.py", line 147, in <module> File "/nobackup/jirayu/llama-hh-rlhf/reward_model.py", line 130, in run_training File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer.py", line 1645, in train return inner_training_loop( File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer.py", line 2020, in _inner_training_loop self._maybe_log_save_evaluate(tr_loss, model, trial, epoch, ignore_keys_for_eval) File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer.py", line 2321, in _maybe_log_save_evaluate metrics = self.evaluate(ignore_keys=ignore_keys_for_eval) File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer.py", line 3053, in evaluate output = eval_loop( File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer.py", line 3272, in evaluation_loop labels = self._nested_gather(labels) File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer.py", line 3388, in _nested_gather tensors = distributed_concat(tensors) File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/transformers/trainer_pt_utils.py", line 197, in distributed_concat dist.all_gather(output_tensors, tensor) File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py", line 1451, in wrapper return func(*args, **kwargs) File "/nobackup/jirayu/miniconda3/envs/llm/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py", line 2448, in all_gather work = default_pg.allgather([tensor_list], [tensor]) RuntimeError: Tensors must be CUDA and dense ``` Code: ```python import argparse import os import torch from accelerate import Accelerator from datasets import load_dataset from peft import LoraConfig from tqdm import tqdm from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, logging, set_seed from trl import RewardTrainer os.environ["WANDB_PROJECT"] = "llama-hh-rlhf" os.environ["WANDB_RUN_NAME"] = "llama-7b-rm" def get_args(): parser = argparse.ArgumentParser() parser.add_argument("--model_path", type=str, default="./llama-7b-sft") parser.add_argument("--batch_size", type=int, default=4) parser.add_argument("--gradient_accumulation_steps", type=int, default=1) parser.add_argument("--num_train_epochs", type=int, default=1) parser.add_argument("--learning_rate", type=float, default=3e-5) parser.add_argument("--lr_scheduler_type", type=str, default="linear") parser.add_argument("--num_warmup_steps", type=int, default=0) parser.add_argument("--weight_decay", type=float, default=0.05) parser.add_argument("--lora_r", type=int, default=16) parser.add_argument("--lora_alpha", type=int, default=32) parser.add_argument("--lora_dropout", type=float, default=0.1) parser.add_argument("--fp16", action="store_true", default=False) parser.add_argument("--bf16", action="store_true", default=True) parser.add_argument("--gradient_checkpointing", action="store_true", default=True) parser.add_argument("--seed", type=int, default=0) parser.add_argument("--output_dir", type=str, default="./llama-7b-rm-adapter") parser.add_argument("--log_freq", default=1, type=int) parser.add_argument("--eval_freq", default=50, type=int) return parser.parse_args() def preprocess_function(examples, tokenizer): tokenized_chosen = tokenizer(examples["chosen"], truncation=True) tokenized_rejected = tokenizer(examples["rejected"], truncation=True) return { "input_ids_chosen": tokenized_chosen["input_ids"], "attention_mask_chosen": tokenized_chosen["attention_mask"], "input_ids_rejected": tokenized_rejected["input_ids"], "attention_mask_rejected": tokenized_rejected["attention_mask"], } def run_training(args): print("Loading model...") model = AutoModelForSequenceClassification.from_pretrained( args.model_path, num_labels=1, torch_dtype=torch.bfloat16, device_map={"": Accelerator().process_index} ) tokenizer = AutoTokenizer.from_pretrained( args.model_path, use_auth_token=True, torch_dtype=torch.bfloat16, device_map={"": Accelerator().process_index} ) tokenizer.pad_token = tokenizer.eos_token model.config.pad_token_id = tokenizer.eos_token_id model.config.use_cache = not args.gradient_checkpointing print("Loading dataset...") dataset = load_dataset("Anthropic/hh-rlhf") train_dataset = dataset["train"] eval_dataset = dataset["test"] num_proc = 24 original_columns = train_dataset.column_names train_dataset = train_dataset.map( preprocess_function, batched=True, num_proc=num_proc, remove_columns=original_columns, fn_kwargs={"tokenizer": tokenizer} ) eval_dataset = eval_dataset.map( preprocess_function, batched=True, num_proc=num_proc, remove_columns=original_columns, fn_kwargs={"tokenizer": tokenizer} ) print("Setting up training...") peft_config = LoraConfig( r=args.lora_r, lora_alpha=args.lora_alpha, lora_dropout=args.lora_dropout, inference_mode=False, task_type="SEQ_CLS", ) training_args = TrainingArguments( output_dir=args.output_dir, dataloader_drop_last=True, num_train_epochs=args.num_train_epochs, evaluation_strategy="steps", eval_steps=args.eval_freq, logging_steps=args.log_freq, per_device_train_batch_size=args.batch_size, per_device_eval_batch_size=args.batch_size, learning_rate=args.learning_rate, lr_scheduler_type=args.lr_scheduler_type, warmup_steps=args.num_warmup_steps, gradient_accumulation_steps=args.gradient_accumulation_steps, gradient_checkpointing=args.gradient_checkpointing, fp16=args.fp16, bf16=args.bf16, weight_decay=args.weight_decay, report_to="wandb", ) trainer = RewardTrainer( model=model, args=training_args, tokenizer=tokenizer, train_dataset=train_dataset, eval_dataset=eval_dataset, peft_config=peft_config, ) print("Training...") trainer.train() print("Saving model...") model = trainer.model print(f"Saving to {args.output_dir}") model.save_pretrained(args.output_dir) if __name__ == "__main__": args = get_args() set_seed(args.seed) os.makedirs(args.output_dir, exist_ok=True) logging.set_verbosity_error() run_training(args) ``` Running command: `accelerate launch reward_model.py` accelerate config: ``` compute_environment: LOCAL_MACHINE distributed_type: MULTI_GPU downcast_bf16: 'no' gpu_ids: all machine_rank: 0 main_training_function: main mixed_precision: bf16 num_machines: 1 num_processes: 8 rdzv_backend: static same_network: true tpu_env: [] tpu_use_cluster: false tpu_use_sudo: false use_cpu: false ```
OpenNMT__OpenNMT-tf-36
[ { "content": "\"\"\"Various utility functions to use throughout the project.\"\"\"\n\nfrom __future__ import print_function\n\nimport sys\nimport inspect\n\nimport tensorflow as tf\n\n\ndef print_bytes(str_as_bytes, stream=None):\n \"\"\"Prints a string viewed as bytes.\n\n This function calls ``decode()`` depending on the output stream encoding.\n\n Args:\n str_as_bytes: The bytes to print.\n stream: The stream to print to (``sys.stdout`` if not set).\n \"\"\"\n encoding = None\n if stream is not None:\n encoding = stream.encoding\n if encoding is None:\n encoding = sys.getdefaultencoding()\n text = str_as_bytes.decode(encoding) if encoding != \"ascii\" else str_as_bytes\n print(text, file=stream)\n if stream is not None:\n stream.flush()\n\ndef item_or_tuple(x):\n \"\"\"Returns :obj:`x` as a tuple or its single element.\"\"\"\n x = tuple(x)\n if len(x) == 1:\n return x[0]\n else:\n return x\n\ndef count_lines(filename):\n \"\"\"Returns the number of lines of the file :obj:`filename`.\"\"\"\n with open(filename) as f:\n i = 0\n for i, _ in enumerate(f):\n pass\n return i + 1\n\ndef get_classnames_in_module(module):\n \"\"\"Returns a list of classnames exposed by a module.\"\"\"\n names = []\n for symbol in dir(module):\n if inspect.isclass(getattr(module, symbol)):\n names.append(symbol)\n return names\n\ndef count_parameters():\n \"\"\"Returns the total number of trainable parameters.\"\"\"\n total = 0\n for variable in tf.trainable_variables():\n shape = variable.get_shape()\n count = 1\n for dim in shape:\n count *= dim.value\n total += count\n return total\n\ndef extract_prefixed_keys(dictionary, prefix):\n \"\"\"Returns a dictionary with all keys from :obj:`dictionary` that are prefixed\n with :obj:`prefix`.\n \"\"\"\n sub_dict = {}\n for key, value in dictionary.items():\n if key.startswith(prefix):\n original_key = key[len(prefix):]\n sub_dict[original_key] = value\n return sub_dict\n\ndef extract_batches(tensors):\n \"\"\"Returns a generator to iterate on each batch of a Numpy array or dict of\n Numpy arrays.\"\"\"\n if not isinstance(tensors, dict):\n for tensor in tensors:\n yield tensor\n else:\n batch_size = None\n for _, value in tensors.items():\n batch_size = batch_size or value.shape[0]\n for b in range(batch_size):\n yield {\n key: value[b] for key, value in tensors.items()\n }\n\n\n# The next 2 functions come with the following license and copyright:\n\n# Copyright 2017 Google Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\ndef add_dict_to_collection(collection_name, dict_):\n \"\"\"Adds a dictionary to a graph collection.\n\n Args:\n collection_name: The name of the collection to add the dictionary to\n dict_: A dictionary of string keys to tensor values\n \"\"\"\n key_collection = collection_name + \"_keys\"\n value_collection = collection_name + \"_values\"\n for key, value in dict_.items():\n tf.add_to_collection(key_collection, key)\n tf.add_to_collection(value_collection, value)\n\ndef get_dict_from_collection(collection_name):\n \"\"\"Gets a dictionary from a graph collection.\n\n Args:\n collection_name: A collection name to read a dictionary from\n\n Returns:\n A dictionary with string keys and tensor values\n \"\"\"\n key_collection = collection_name + \"_keys\"\n value_collection = collection_name + \"_values\"\n keys = tf.get_collection(key_collection)\n values = tf.get_collection(value_collection)\n return dict(zip(keys, values))\n", "path": "opennmt/utils/misc.py" } ]
[ { "content": "\"\"\"Various utility functions to use throughout the project.\"\"\"\n\nfrom __future__ import print_function\n\nimport sys\nimport inspect\n\nimport tensorflow as tf\n\n\ndef print_bytes(str_as_bytes, stream=None):\n \"\"\"Prints a string viewed as bytes.\n\n This function calls ``decode()`` depending on the output stream encoding.\n\n Args:\n str_as_bytes: The bytes to print.\n stream: The stream to print to (``sys.stdout`` if not set).\n \"\"\"\n encoding = None\n if stream is not None:\n encoding = stream.encoding\n if encoding is None:\n encoding = sys.getdefaultencoding()\n text = str_as_bytes.decode(encoding) if encoding != \"ascii\" else str_as_bytes\n print(text, file=stream)\n if stream is not None:\n stream.flush()\n\ndef item_or_tuple(x):\n \"\"\"Returns :obj:`x` as a tuple or its single element.\"\"\"\n x = tuple(x)\n if len(x) == 1:\n return x[0]\n else:\n return x\n\ndef count_lines(filename):\n \"\"\"Returns the number of lines of the file :obj:`filename`.\"\"\"\n with open(filename, \"rb\") as f:\n i = 0\n for i, _ in enumerate(f):\n pass\n return i + 1\n\ndef get_classnames_in_module(module):\n \"\"\"Returns a list of classnames exposed by a module.\"\"\"\n names = []\n for symbol in dir(module):\n if inspect.isclass(getattr(module, symbol)):\n names.append(symbol)\n return names\n\ndef count_parameters():\n \"\"\"Returns the total number of trainable parameters.\"\"\"\n total = 0\n for variable in tf.trainable_variables():\n shape = variable.get_shape()\n count = 1\n for dim in shape:\n count *= dim.value\n total += count\n return total\n\ndef extract_prefixed_keys(dictionary, prefix):\n \"\"\"Returns a dictionary with all keys from :obj:`dictionary` that are prefixed\n with :obj:`prefix`.\n \"\"\"\n sub_dict = {}\n for key, value in dictionary.items():\n if key.startswith(prefix):\n original_key = key[len(prefix):]\n sub_dict[original_key] = value\n return sub_dict\n\ndef extract_batches(tensors):\n \"\"\"Returns a generator to iterate on each batch of a Numpy array or dict of\n Numpy arrays.\"\"\"\n if not isinstance(tensors, dict):\n for tensor in tensors:\n yield tensor\n else:\n batch_size = None\n for _, value in tensors.items():\n batch_size = batch_size or value.shape[0]\n for b in range(batch_size):\n yield {\n key: value[b] for key, value in tensors.items()\n }\n\n\n# The next 2 functions come with the following license and copyright:\n\n# Copyright 2017 Google Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\ndef add_dict_to_collection(collection_name, dict_):\n \"\"\"Adds a dictionary to a graph collection.\n\n Args:\n collection_name: The name of the collection to add the dictionary to\n dict_: A dictionary of string keys to tensor values\n \"\"\"\n key_collection = collection_name + \"_keys\"\n value_collection = collection_name + \"_values\"\n for key, value in dict_.items():\n tf.add_to_collection(key_collection, key)\n tf.add_to_collection(value_collection, value)\n\ndef get_dict_from_collection(collection_name):\n \"\"\"Gets a dictionary from a graph collection.\n\n Args:\n collection_name: A collection name to read a dictionary from\n\n Returns:\n A dictionary with string keys and tensor values\n \"\"\"\n key_collection = collection_name + \"_keys\"\n value_collection = collection_name + \"_values\"\n keys = tf.get_collection(key_collection)\n values = tf.get_collection(value_collection)\n return dict(zip(keys, values))\n", "path": "opennmt/utils/misc.py" } ]
diff --git a/opennmt/utils/misc.py b/opennmt/utils/misc.py index 20a410b4f..66c2db197 100644 --- a/opennmt/utils/misc.py +++ b/opennmt/utils/misc.py @@ -37,7 +37,7 @@ def item_or_tuple(x): def count_lines(filename): """Returns the number of lines of the file :obj:`filename`.""" - with open(filename) as f: + with open(filename, "rb") as f: i = 0 for i, _ in enumerate(f): pass
File reading unicode error When trying the quickstart example, I faced an error which is regarding file opening in `utils\misc.py` It got resolved once I changed ```python line 40: with open(filename) as f: to line 40: with open(filename, encoding="utf8") as f: ``` I'll open a pull request with the fix. **Windows, py3.6, tf1.4** `python -m bin.main train --model config/models/nmt_small. py --config config/opennmt-defaults.yml config/data/toy-ende.yml` ```bash INFO:tensorflow:Using config: {'_model_dir': 'toy-ende', '_tf_random_seed': None, '_save_sum mary_steps': 50, '_save_checkpoints_steps': 5000, '_save_checkpoints_secs': None, '_session_ config': gpu_options { } , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps ': 50, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x000002213F038F60>, '_task_type': 'worker', '_task_id': 0, '_master': '', '_is_c hief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1} INFO:tensorflow:Running training and evaluation locally (non-distributed). INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after 18000 secs (ev al_spec.throttle_secs) or training is finished. Traceback (most recent call last): File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 193, in _r un_module_as_main "__main__", mod_spec) File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 85, in _ru n_code exec(code, run_globals) File "C:\Users\Ayush\Projects\OpenNMT-tf\bin\main.py", line 308, in <module> main() File "C:\Users\Ayush\Projects\OpenNMT-tf\bin\main.py", line 290, in main train(estimator, model, config) File "C:\Users\Ayush\Projects\OpenNMT-tf\bin\main.py", line 135, in train tf.estimator.train_and_evaluate(estimator, train_spec, eval_spec) File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\p ython\estimator\training.py", line 430, in train_and_evaluate executor.run_local() File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\p ython\estimator\training.py", line 609, in run_local hooks=train_hooks) File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\p ython\estimator\estimator.py", line 302, in train loss = self._train_model(input_fn, hooks, saving_listeners) File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\p ython\estimator\estimator.py", line 708, in _train_model input_fn, model_fn_lib.ModeKeys.TRAIN) File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\p ython\estimator\estimator.py", line 577, in _get_features_and_labels_from_input_fn result = self._call_input_fn(input_fn, mode) File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\p ython\estimator\estimator.py", line 663, in _call_input_fn return input_fn(**kwargs) File "C:\Users\Ayush\Projects\OpenNMT-tf\opennmt\models\model.py", line 515, in <lambda> maximum_labels_length=maximum_labels_length) File "C:\Users\Ayush\Projects\OpenNMT-tf\opennmt\models\model.py", line 374, in _input_fn_ impl self._initialize(metadata) File "C:\Users\Ayush\Projects\OpenNMT-tf\opennmt\models\sequence_to_sequence.py", line 93, in _initialize self.source_inputter.initialize(metadata) File "C:\Users\Ayush\Projects\OpenNMT-tf\opennmt\inputters\text_inputter.py", line 304, in initialize self.vocabulary_size = count_lines(self.vocabulary_file) + self.num_oov_buckets File "C:\Users\Ayush\Projects\OpenNMT-tf\opennmt\utils\misc.py", line 42, in count_lines for i, _ in enumerate(f): File "C:\Users\Ayush\AppData\Local\Programs\Python\Python36\lib\encodings\cp1252.py", line 23, in decode return codecs.charmap_decode(input,self.errors,decoding_table)[0] UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 5597: character maps to <undefined>```
Qiskit__qiskit-4331
[ { "content": "# -*- coding: utf-8 -*-\n\n# This code is part of Qiskit.\n#\n# (C) Copyright IBM 2019.\n#\n# This code is licensed under the Apache License, Version 2.0. You may\n# obtain a copy of this license in the LICENSE.txt file in the root directory\n# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.\n#\n# Any modifications or derivative works of this code must retain this\n# copyright notice, and modified files need to carry a notice indicating\n# that they have been altered from the originals.\n\n\"\"\"\nVisualization function for a pass manager. Passes are grouped based on their\nflow controller, and coloured based on the type of pass.\n\"\"\"\nimport os\nimport inspect\nimport tempfile\n\ntry:\n from PIL import Image\n\n HAS_PIL = True\nexcept ImportError:\n HAS_PIL = False\n\nfrom qiskit.visualization import utils\nfrom qiskit.visualization.exceptions import VisualizationError\nfrom qiskit.transpiler.basepasses import AnalysisPass, TransformationPass\n\nDEFAULT_STYLE = {AnalysisPass: 'red',\n TransformationPass: 'blue'}\n\n\ndef pass_manager_drawer(pass_manager, filename, style=None, raw=False):\n \"\"\"\n Draws the pass manager.\n\n This function needs `pydot <https://github.com/erocarrera/pydot>`, which in turn needs\n Graphviz <https://www.graphviz.org/>` to be installed.\n\n Args:\n pass_manager (PassManager): the pass manager to be drawn\n filename (str): file path to save image to\n style (dict or OrderedDict): keys are the pass classes and the values are\n the colors to make them. An example can be seen in the DEFAULT_STYLE. An ordered\n dict can be used to ensure a priority coloring when pass falls into multiple\n categories. Any values not included in the provided dict will be filled in from\n the default dict\n raw (Bool) : True if you want to save the raw Dot output not an image. The\n default is False.\n Returns:\n PIL.Image or None: an in-memory representation of the pass manager. Or None if\n no image was generated or PIL is not installed.\n Raises:\n ImportError: when nxpd or pydot not installed.\n VisualizationError: If raw=True and filename=None.\n\n Example:\n .. code-block::\n\n %matplotlib inline\n from qiskit import QuantumCircuit\n from qiskit.compiler import transpile\n from qiskit.transpiler import PassManager\n from qiskit.visualization import pass_manager_drawer\n from qiskit.transpiler.passes import Unroller\n\n circ = QuantumCircuit(3)\n circ.ccx(0, 1, 2)\n circ.draw()\n\n pass_ = Unroller(['u1', 'u2', 'u3', 'cx'])\n pm = PassManager(pass_)\n new_circ = pm.run(circ)\n new_circ.draw(output='mpl')\n\n pass_manager_drawer(pm, \"passmanager.jpg\")\n \"\"\"\n\n try:\n import subprocess\n\n _PROC = subprocess.Popen(['dot', '-V'], # pylint: disable=invalid-name\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE)\n _PROC.communicate()\n if _PROC.returncode != 0:\n has_graphviz = False\n else:\n has_graphviz = True\n except Exception: # pylint: disable=broad-except\n # this is raised when the dot command cannot be found, which means GraphViz\n # isn't installed\n has_graphviz = False\n\n HAS_GRAPHVIZ = has_graphviz # pylint: disable=invalid-name\n\n try:\n import pydot\n if not HAS_GRAPHVIZ:\n raise ImportError\n except ImportError:\n raise ImportError(\"pass_manager_drawer requires pydot and graphviz. \"\n \"Run 'pip install pydot'. \"\n \"Graphviz can be installed using 'brew install graphviz' on Mac\"\n \" or by downloading it from the website.\")\n\n passes = pass_manager.passes()\n\n if not style:\n style = DEFAULT_STYLE\n\n # create the overall graph\n graph = pydot.Dot()\n\n # identifiers for nodes need to be unique, so assign an id\n # can't just use python's id in case the exact same pass was\n # appended more than once\n component_id = 0\n\n prev_node = None\n\n for index, controller_group in enumerate(passes):\n\n # label is the name of the flow controller parameter\n label = \"[%s] %s\" % (index, ', '.join(controller_group['flow_controllers']))\n\n # create the subgraph for this controller\n subgraph = pydot.Cluster(str(component_id), label=label, fontname='helvetica',\n labeljust='l')\n component_id += 1\n\n for pass_ in controller_group['passes']:\n\n # label is the name of the pass\n node = pydot.Node(str(component_id),\n label=str(type(pass_).__name__),\n color=_get_node_color(pass_, style),\n shape=\"rectangle\",\n fontname='helvetica')\n\n subgraph.add_node(node)\n component_id += 1\n\n # the arguments that were provided to the pass when it was created\n arg_spec = inspect.getfullargspec(pass_.__init__)\n # 0 is the args, 1: to remove the self arg\n args = arg_spec[0][1:]\n\n num_optional = len(arg_spec[3]) if arg_spec[3] else 0\n\n # add in the inputs to the pass\n for arg_index, arg in enumerate(args):\n nd_style = 'solid'\n # any optional args are dashed\n # the num of optional counts from the end towards the start of the list\n if arg_index >= (len(args) - num_optional):\n nd_style = 'dashed'\n\n input_node = pydot.Node(component_id, label=arg,\n color=\"black\",\n shape=\"ellipse\",\n fontsize=10,\n style=nd_style,\n fontname='helvetica')\n subgraph.add_node(input_node)\n component_id += 1\n subgraph.add_edge(pydot.Edge(input_node, node))\n\n # if there is a previous node, add an edge between them\n if prev_node:\n subgraph.add_edge(pydot.Edge(prev_node, node))\n\n prev_node = node\n\n graph.add_subgraph(subgraph)\n\n if raw:\n if filename:\n graph.write(filename, format='raw')\n return None\n else:\n raise VisualizationError(\"if format=raw, then a filename is required.\")\n\n if not HAS_PIL and filename:\n # linter says this isn't a method - it is\n graph.write_png(filename) # pylint: disable=no-member\n return None\n\n with tempfile.TemporaryDirectory() as tmpdirname:\n tmppath = os.path.join(tmpdirname, 'pass_manager.png')\n\n # linter says this isn't a method - it is\n graph.write_png(tmppath) # pylint: disable=no-member\n\n image = Image.open(tmppath)\n image = utils._trim(image)\n os.remove(tmppath)\n if filename:\n image.save(filename, 'PNG')\n return image\n\n\ndef _get_node_color(pss, style):\n # look in the user provided dict first\n for typ, color in style.items():\n if isinstance(pss, typ):\n return color\n\n # failing that, look in the default\n for typ, color in DEFAULT_STYLE.items():\n if isinstance(pss, typ):\n return color\n\n return \"black\"\n", "path": "qiskit/visualization/pass_manager_visualization.py" } ]
[ { "content": "# -*- coding: utf-8 -*-\n\n# This code is part of Qiskit.\n#\n# (C) Copyright IBM 2019.\n#\n# This code is licensed under the Apache License, Version 2.0. You may\n# obtain a copy of this license in the LICENSE.txt file in the root directory\n# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.\n#\n# Any modifications or derivative works of this code must retain this\n# copyright notice, and modified files need to carry a notice indicating\n# that they have been altered from the originals.\n\n\"\"\"\nVisualization function for a pass manager. Passes are grouped based on their\nflow controller, and coloured based on the type of pass.\n\"\"\"\nimport os\nimport inspect\nimport tempfile\n\ntry:\n from PIL import Image\n\n HAS_PIL = True\nexcept ImportError:\n HAS_PIL = False\n\nfrom qiskit.visualization import utils\nfrom qiskit.visualization.exceptions import VisualizationError\nfrom qiskit.transpiler.basepasses import AnalysisPass, TransformationPass\n\nDEFAULT_STYLE = {AnalysisPass: 'red',\n TransformationPass: 'blue'}\n\n\ndef pass_manager_drawer(pass_manager, filename=None, style=None, raw=False):\n \"\"\"\n Draws the pass manager.\n\n This function needs `pydot <https://github.com/erocarrera/pydot>`, which in turn needs\n Graphviz <https://www.graphviz.org/>` to be installed.\n\n Args:\n pass_manager (PassManager): the pass manager to be drawn\n filename (str): file path to save image to\n style (dict or OrderedDict): keys are the pass classes and the values are\n the colors to make them. An example can be seen in the DEFAULT_STYLE. An ordered\n dict can be used to ensure a priority coloring when pass falls into multiple\n categories. Any values not included in the provided dict will be filled in from\n the default dict\n raw (Bool) : True if you want to save the raw Dot output not an image. The\n default is False.\n Returns:\n PIL.Image or None: an in-memory representation of the pass manager. Or None if\n no image was generated or PIL is not installed.\n Raises:\n ImportError: when nxpd or pydot not installed.\n VisualizationError: If raw=True and filename=None.\n\n Example:\n .. code-block::\n\n %matplotlib inline\n from qiskit import QuantumCircuit\n from qiskit.compiler import transpile\n from qiskit.transpiler import PassManager\n from qiskit.visualization import pass_manager_drawer\n from qiskit.transpiler.passes import Unroller\n\n circ = QuantumCircuit(3)\n circ.ccx(0, 1, 2)\n circ.draw()\n\n pass_ = Unroller(['u1', 'u2', 'u3', 'cx'])\n pm = PassManager(pass_)\n new_circ = pm.run(circ)\n new_circ.draw(output='mpl')\n\n pass_manager_drawer(pm, \"passmanager.jpg\")\n \"\"\"\n\n try:\n import subprocess\n\n _PROC = subprocess.Popen(['dot', '-V'], # pylint: disable=invalid-name\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE)\n _PROC.communicate()\n if _PROC.returncode != 0:\n has_graphviz = False\n else:\n has_graphviz = True\n except Exception: # pylint: disable=broad-except\n # this is raised when the dot command cannot be found, which means GraphViz\n # isn't installed\n has_graphviz = False\n\n HAS_GRAPHVIZ = has_graphviz # pylint: disable=invalid-name\n\n try:\n import pydot\n if not HAS_GRAPHVIZ:\n raise ImportError\n except ImportError:\n raise ImportError(\"pass_manager_drawer requires pydot and graphviz. \"\n \"Run 'pip install pydot'. \"\n \"Graphviz can be installed using 'brew install graphviz' on Mac\"\n \" or by downloading it from the website.\")\n\n passes = pass_manager.passes()\n\n if not style:\n style = DEFAULT_STYLE\n\n # create the overall graph\n graph = pydot.Dot()\n\n # identifiers for nodes need to be unique, so assign an id\n # can't just use python's id in case the exact same pass was\n # appended more than once\n component_id = 0\n\n prev_node = None\n\n for index, controller_group in enumerate(passes):\n\n # label is the name of the flow controller parameter\n label = \"[%s] %s\" % (index, ', '.join(controller_group['flow_controllers']))\n\n # create the subgraph for this controller\n subgraph = pydot.Cluster(str(component_id), label=label, fontname='helvetica',\n labeljust='l')\n component_id += 1\n\n for pass_ in controller_group['passes']:\n\n # label is the name of the pass\n node = pydot.Node(str(component_id),\n label=str(type(pass_).__name__),\n color=_get_node_color(pass_, style),\n shape=\"rectangle\",\n fontname='helvetica')\n\n subgraph.add_node(node)\n component_id += 1\n\n # the arguments that were provided to the pass when it was created\n arg_spec = inspect.getfullargspec(pass_.__init__)\n # 0 is the args, 1: to remove the self arg\n args = arg_spec[0][1:]\n\n num_optional = len(arg_spec[3]) if arg_spec[3] else 0\n\n # add in the inputs to the pass\n for arg_index, arg in enumerate(args):\n nd_style = 'solid'\n # any optional args are dashed\n # the num of optional counts from the end towards the start of the list\n if arg_index >= (len(args) - num_optional):\n nd_style = 'dashed'\n\n input_node = pydot.Node(component_id, label=arg,\n color=\"black\",\n shape=\"ellipse\",\n fontsize=10,\n style=nd_style,\n fontname='helvetica')\n subgraph.add_node(input_node)\n component_id += 1\n subgraph.add_edge(pydot.Edge(input_node, node))\n\n # if there is a previous node, add an edge between them\n if prev_node:\n subgraph.add_edge(pydot.Edge(prev_node, node))\n\n prev_node = node\n\n graph.add_subgraph(subgraph)\n\n if raw:\n if filename:\n graph.write(filename, format='raw')\n return None\n else:\n raise VisualizationError(\"if format=raw, then a filename is required.\")\n\n if not HAS_PIL and filename:\n # linter says this isn't a method - it is\n graph.write_png(filename) # pylint: disable=no-member\n return None\n\n with tempfile.TemporaryDirectory() as tmpdirname:\n tmppath = os.path.join(tmpdirname, 'pass_manager.png')\n\n # linter says this isn't a method - it is\n graph.write_png(tmppath) # pylint: disable=no-member\n\n image = Image.open(tmppath)\n image = utils._trim(image)\n os.remove(tmppath)\n if filename:\n image.save(filename, 'PNG')\n return image\n\n\ndef _get_node_color(pss, style):\n # look in the user provided dict first\n for typ, color in style.items():\n if isinstance(pss, typ):\n return color\n\n # failing that, look in the default\n for typ, color in DEFAULT_STYLE.items():\n if isinstance(pss, typ):\n return color\n\n return \"black\"\n", "path": "qiskit/visualization/pass_manager_visualization.py" } ]
diff --git a/qiskit/visualization/pass_manager_visualization.py b/qiskit/visualization/pass_manager_visualization.py index 9d91aa4dfe77..6707d8d10d4b 100644 --- a/qiskit/visualization/pass_manager_visualization.py +++ b/qiskit/visualization/pass_manager_visualization.py @@ -35,7 +35,7 @@ TransformationPass: 'blue'} -def pass_manager_drawer(pass_manager, filename, style=None, raw=False): +def pass_manager_drawer(pass_manager, filename=None, style=None, raw=False): """ Draws the pass manager.
pass_manager_drawer requires filename to render <!-- ⚠️ If you do not respect this template, your issue will be closed --> <!-- ⚠️ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? The `pass_manager_drawer` requires a filename in order to run. However this is not really a requirement of the code itself. Indeed, this works fine: ```python pass_manager_drawer(pm, '') ``` ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions
getpelican__pelican-2948
[ { "content": "import datetime\nimport fnmatch\nimport locale\nimport logging\nimport os\nimport re\nimport shutil\nimport sys\nimport traceback\nimport urllib\nfrom collections.abc import Hashable\nfrom contextlib import contextmanager\nfrom functools import partial\nfrom html import entities\nfrom html.parser import HTMLParser\nfrom itertools import groupby\nfrom operator import attrgetter\n\nimport dateutil.parser\n\nfrom markupsafe import Markup\n\nimport pytz\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef sanitised_join(base_directory, *parts):\n joined = posixize_path(\n os.path.abspath(os.path.join(base_directory, *parts)))\n base = posixize_path(os.path.abspath(base_directory))\n if not joined.startswith(base):\n raise RuntimeError(\n \"Attempted to break out of output directory to {}\".format(\n joined\n )\n )\n\n return joined\n\n\ndef strftime(date, date_format):\n '''\n Enhanced replacement for built-in strftime with zero stripping\n\n This works by 'grabbing' possible format strings (those starting with %),\n formatting them with the date, stripping any leading zeros if - prefix is\n used and replacing formatted output back.\n '''\n def strip_zeros(x):\n return x.lstrip('0') or '0'\n # includes ISO date parameters added by Python 3.6\n c89_directives = 'aAbBcdfGHIjmMpSUuVwWxXyYzZ%'\n\n # grab candidate format options\n format_options = '%[-]?.'\n candidates = re.findall(format_options, date_format)\n\n # replace candidates with placeholders for later % formatting\n template = re.sub(format_options, '%s', date_format)\n\n formatted_candidates = []\n for candidate in candidates:\n # test for valid C89 directives only\n if candidate[-1] in c89_directives:\n # check for '-' prefix\n if len(candidate) == 3:\n # '-' prefix\n candidate = '%{}'.format(candidate[-1])\n conversion = strip_zeros\n else:\n conversion = None\n\n # format date\n if isinstance(date, SafeDatetime):\n formatted = date.strftime(candidate, safe=False)\n else:\n formatted = date.strftime(candidate)\n\n # strip zeros if '-' prefix is used\n if conversion:\n formatted = conversion(formatted)\n else:\n formatted = candidate\n formatted_candidates.append(formatted)\n\n # put formatted candidates back and return\n return template % tuple(formatted_candidates)\n\n\nclass SafeDatetime(datetime.datetime):\n '''Subclass of datetime that works with utf-8 format strings on PY2'''\n\n def strftime(self, fmt, safe=True):\n '''Uses our custom strftime if supposed to be *safe*'''\n if safe:\n return strftime(self, fmt)\n else:\n return super().strftime(fmt)\n\n\nclass DateFormatter:\n '''A date formatter object used as a jinja filter\n\n Uses the `strftime` implementation and makes sure jinja uses the locale\n defined in LOCALE setting\n '''\n\n def __init__(self):\n self.locale = locale.setlocale(locale.LC_TIME)\n\n def __call__(self, date, date_format):\n old_lc_time = locale.setlocale(locale.LC_TIME)\n old_lc_ctype = locale.setlocale(locale.LC_CTYPE)\n\n locale.setlocale(locale.LC_TIME, self.locale)\n # on OSX, encoding from LC_CTYPE determines the unicode output in PY3\n # make sure it's same as LC_TIME\n locale.setlocale(locale.LC_CTYPE, self.locale)\n\n formatted = strftime(date, date_format)\n\n locale.setlocale(locale.LC_TIME, old_lc_time)\n locale.setlocale(locale.LC_CTYPE, old_lc_ctype)\n return formatted\n\n\nclass memoized:\n \"\"\"Function decorator to cache return values.\n\n If called later with the same arguments, the cached value is returned\n (not reevaluated).\n\n \"\"\"\n\n def __init__(self, func):\n self.func = func\n self.cache = {}\n\n def __call__(self, *args):\n if not isinstance(args, Hashable):\n # uncacheable. a list, for instance.\n # better to not cache than blow up.\n return self.func(*args)\n if args in self.cache:\n return self.cache[args]\n else:\n value = self.func(*args)\n self.cache[args] = value\n return value\n\n def __repr__(self):\n return self.func.__doc__\n\n def __get__(self, obj, objtype):\n '''Support instance methods.'''\n return partial(self.__call__, obj)\n\n\ndef deprecated_attribute(old, new, since=None, remove=None, doc=None):\n \"\"\"Attribute deprecation decorator for gentle upgrades\n\n For example:\n\n class MyClass (object):\n @deprecated_attribute(\n old='abc', new='xyz', since=(3, 2, 0), remove=(4, 1, 3))\n def abc(): return None\n\n def __init__(self):\n xyz = 5\n\n Note that the decorator needs a dummy method to attach to, but the\n content of the dummy method is ignored.\n \"\"\"\n def _warn():\n version = '.'.join(str(x) for x in since)\n message = ['{} has been deprecated since {}'.format(old, version)]\n if remove:\n version = '.'.join(str(x) for x in remove)\n message.append(\n ' and will be removed by version {}'.format(version))\n message.append('. Use {} instead.'.format(new))\n logger.warning(''.join(message))\n logger.debug(''.join(str(x) for x\n in traceback.format_stack()))\n\n def fget(self):\n _warn()\n return getattr(self, new)\n\n def fset(self, value):\n _warn()\n setattr(self, new, value)\n\n def decorator(dummy):\n return property(fget=fget, fset=fset, doc=doc)\n\n return decorator\n\n\ndef get_date(string):\n \"\"\"Return a datetime object from a string.\n\n If no format matches the given date, raise a ValueError.\n \"\"\"\n string = re.sub(' +', ' ', string)\n default = SafeDatetime.now().replace(hour=0, minute=0,\n second=0, microsecond=0)\n try:\n return dateutil.parser.parse(string, default=default)\n except (TypeError, ValueError):\n raise ValueError('{!r} is not a valid date'.format(string))\n\n\n@contextmanager\ndef pelican_open(filename, mode='r', strip_crs=(sys.platform == 'win32')):\n \"\"\"Open a file and return its content\"\"\"\n\n # utf-8-sig will clear any BOM if present\n with open(filename, mode, encoding='utf-8-sig') as infile:\n content = infile.read()\n yield content\n\n\ndef slugify(value, regex_subs=(), preserve_case=False, use_unicode=False):\n \"\"\"\n Normalizes string, converts to lowercase, removes non-alpha characters,\n and converts spaces to hyphens.\n\n Took from Django sources.\n \"\"\"\n\n import unicodedata\n import unidecode\n\n def normalize_unicode(text):\n # normalize text by compatibility composition\n # see: https://en.wikipedia.org/wiki/Unicode_equivalence\n return unicodedata.normalize('NFKC', text)\n\n # strip tags from value\n value = Markup(value).striptags()\n\n # normalization\n value = normalize_unicode(value)\n\n if not use_unicode:\n # ASCII-fy\n value = unidecode.unidecode(value)\n\n # perform regex substitutions\n for src, dst in regex_subs:\n value = re.sub(\n normalize_unicode(src),\n normalize_unicode(dst),\n value,\n flags=re.IGNORECASE)\n\n if not preserve_case:\n value = value.lower()\n\n return value.strip()\n\n\ndef copy(source, destination, ignores=None):\n \"\"\"Recursively copy source into destination.\n\n If source is a file, destination has to be a file as well.\n The function is able to copy either files or directories.\n\n :param source: the source file or directory\n :param destination: the destination file or directory\n :param ignores: either None, or a list of glob patterns;\n files matching those patterns will _not_ be copied.\n \"\"\"\n\n def walk_error(err):\n logger.warning(\"While copying %s: %s: %s\",\n source_, err.filename, err.strerror)\n\n source_ = os.path.abspath(os.path.expanduser(source))\n destination_ = os.path.abspath(os.path.expanduser(destination))\n\n if ignores is None:\n ignores = []\n\n if any(fnmatch.fnmatch(os.path.basename(source), ignore)\n for ignore in ignores):\n logger.info('Not copying %s due to ignores', source_)\n return\n\n if os.path.isfile(source_):\n dst_dir = os.path.dirname(destination_)\n if not os.path.exists(dst_dir):\n logger.info('Creating directory %s', dst_dir)\n os.makedirs(dst_dir)\n logger.info('Copying %s to %s', source_, destination_)\n copy_file_metadata(source_, destination_)\n\n elif os.path.isdir(source_):\n if not os.path.exists(destination_):\n logger.info('Creating directory %s', destination_)\n os.makedirs(destination_)\n if not os.path.isdir(destination_):\n logger.warning('Cannot copy %s (a directory) to %s (a file)',\n source_, destination_)\n return\n\n for src_dir, subdirs, others in os.walk(source_, followlinks=True):\n dst_dir = os.path.join(destination_,\n os.path.relpath(src_dir, source_))\n\n subdirs[:] = (s for s in subdirs if not any(fnmatch.fnmatch(s, i)\n for i in ignores))\n others[:] = (o for o in others if not any(fnmatch.fnmatch(o, i)\n for i in ignores))\n\n if not os.path.isdir(dst_dir):\n logger.info('Creating directory %s', dst_dir)\n # Parent directories are known to exist, so 'mkdir' suffices.\n os.mkdir(dst_dir)\n\n for o in others:\n src_path = os.path.join(src_dir, o)\n dst_path = os.path.join(dst_dir, o)\n if os.path.isfile(src_path):\n logger.info('Copying %s to %s', src_path, dst_path)\n copy_file_metadata(src_path, dst_path)\n else:\n logger.warning('Skipped copy %s (not a file or '\n 'directory) to %s',\n src_path, dst_path)\n\n\ndef copy_file_metadata(source, destination):\n '''Copy a file and its metadata (perm bits, access times, ...)'''\n\n # This function is a workaround for Android python copystat\n # bug ([issue28141]) https://bugs.python.org/issue28141\n try:\n shutil.copy2(source, destination)\n except OSError as e:\n logger.warning(\"A problem occurred copying file %s to %s; %s\",\n source, destination, e)\n\n\ndef clean_output_dir(path, retention):\n \"\"\"Remove all files from output directory except those in retention list\"\"\"\n\n if not os.path.exists(path):\n logger.debug(\"Directory already removed: %s\", path)\n return\n\n if not os.path.isdir(path):\n try:\n os.remove(path)\n except Exception as e:\n logger.error(\"Unable to delete file %s; %s\", path, e)\n return\n\n # remove existing content from output folder unless in retention list\n for filename in os.listdir(path):\n file = os.path.join(path, filename)\n if any(filename == retain for retain in retention):\n logger.debug(\"Skipping deletion; %s is on retention list: %s\",\n filename, file)\n elif os.path.isdir(file):\n try:\n shutil.rmtree(file)\n logger.debug(\"Deleted directory %s\", file)\n except Exception as e:\n logger.error(\"Unable to delete directory %s; %s\",\n file, e)\n elif os.path.isfile(file) or os.path.islink(file):\n try:\n os.remove(file)\n logger.debug(\"Deleted file/link %s\", file)\n except Exception as e:\n logger.error(\"Unable to delete file %s; %s\", file, e)\n else:\n logger.error(\"Unable to delete %s, file type unknown\", file)\n\n\ndef get_relative_path(path):\n \"\"\"Return the relative path from the given path to the root path.\"\"\"\n components = split_all(path)\n if len(components) <= 1:\n return os.curdir\n else:\n parents = [os.pardir] * (len(components) - 1)\n return os.path.join(*parents)\n\n\ndef path_to_url(path):\n \"\"\"Return the URL corresponding to a given path.\"\"\"\n if path is not None:\n path = posixize_path(path)\n return path\n\n\ndef posixize_path(rel_path):\n \"\"\"Use '/' as path separator, so that source references,\n like '{static}/foo/bar.jpg' or 'extras/favicon.ico',\n will work on Windows as well as on Mac and Linux.\"\"\"\n return rel_path.replace(os.sep, '/')\n\n\nclass _HTMLWordTruncator(HTMLParser):\n\n _word_regex = re.compile(r\"(({SBC})({SBC}|-|')*)|{DBC}\".format(\n # SBC means Latin-like characters. A word contains a few characters.\n # ASCII |Extended Latin | Cyrillic\n SBC=\"[0-9a-zA-Z]|[\\u00C0-\\u024f]|[\\u0400-\\u04FF]\",\n # DBC means CJK-like characters. An character can stand for a word.\n DBC=(\"([\\u4E00-\\u9FFF])|\" # CJK Unified Ideographs\n \"([\\u3400-\\u4DBF])|\" # CJK Unified Ideographs Extension A\n \"([\\uF900-\\uFAFF])|\" # CJK Compatibility Ideographs\n \"([\\U00020000-\\U0002A6DF])|\" # CJK Unified Ideographs Extension B\n \"([\\U0002F800-\\U0002FA1F])|\" # CJK Compatibility Ideographs Supplement\n \"([\\u3040-\\u30FF])|\" # Hiragana and Katakana\n \"([\\u1100-\\u11FF])|\" # Hangul Jamo\n \"([\\uAC00-\\uD7FF])|\" # Hangul Compatibility Jamo\n \"([\\u3130-\\u318F])\" # Hangul Syllables\n )), re.UNICODE)\n _word_prefix_regex = re.compile(r'\\w', re.U)\n _singlets = ('br', 'col', 'link', 'base', 'img', 'param', 'area',\n 'hr', 'input')\n\n class TruncationCompleted(Exception):\n\n def __init__(self, truncate_at):\n super().__init__(truncate_at)\n self.truncate_at = truncate_at\n\n def __init__(self, max_words):\n super().__init__(convert_charrefs=False)\n\n self.max_words = max_words\n self.words_found = 0\n self.open_tags = []\n self.last_word_end = None\n self.truncate_at = None\n\n def feed(self, *args, **kwargs):\n try:\n super().feed(*args, **kwargs)\n except self.TruncationCompleted as exc:\n self.truncate_at = exc.truncate_at\n else:\n self.truncate_at = None\n\n def getoffset(self):\n line_start = 0\n lineno, line_offset = self.getpos()\n for i in range(lineno - 1):\n line_start = self.rawdata.index('\\n', line_start) + 1\n return line_start + line_offset\n\n def add_word(self, word_end):\n self.words_found += 1\n self.last_word_end = None\n if self.words_found == self.max_words:\n raise self.TruncationCompleted(word_end)\n\n def add_last_word(self):\n if self.last_word_end is not None:\n self.add_word(self.last_word_end)\n\n def handle_starttag(self, tag, attrs):\n self.add_last_word()\n if tag not in self._singlets:\n self.open_tags.insert(0, tag)\n\n def handle_endtag(self, tag):\n self.add_last_word()\n try:\n i = self.open_tags.index(tag)\n except ValueError:\n pass\n else:\n # SGML: An end tag closes, back to the matching start tag,\n # all unclosed intervening start tags with omitted end tags\n del self.open_tags[:i + 1]\n\n def handle_data(self, data):\n word_end = 0\n offset = self.getoffset()\n\n while self.words_found < self.max_words:\n match = self._word_regex.search(data, word_end)\n if not match:\n break\n\n if match.start(0) > 0:\n self.add_last_word()\n\n word_end = match.end(0)\n self.last_word_end = offset + word_end\n\n if word_end < len(data):\n self.add_last_word()\n\n def _handle_ref(self, name, char):\n \"\"\"\n Called by handle_entityref() or handle_charref() when a ref like\n `&mdash;`, `&#8212;`, or `&#x2014` is found.\n\n The arguments for this method are:\n\n - `name`: the HTML entity name (such as `mdash` or `#8212` or `#x2014`)\n - `char`: the Unicode representation of the ref (such as `—`)\n\n This method checks whether the entity is considered to be part of a\n word or not and, if not, signals the end of a word.\n \"\"\"\n # Compute the index of the character right after the ref.\n #\n # In a string like 'prefix&mdash;suffix', the end is the sum of:\n #\n # - `self.getoffset()` (the length of `prefix`)\n # - `1` (the length of `&`)\n # - `len(name)` (the length of `mdash`)\n # - `1` (the length of `;`)\n #\n # Note that, in case of malformed HTML, the ';' character may\n # not be present.\n\n offset = self.getoffset()\n ref_end = offset + len(name) + 1\n\n try:\n if self.rawdata[ref_end] == ';':\n ref_end += 1\n except IndexError:\n # We are at the end of the string and there's no ';'\n pass\n\n if self.last_word_end is None:\n if self._word_prefix_regex.match(char):\n self.last_word_end = ref_end\n else:\n if self._word_regex.match(char):\n self.last_word_end = ref_end\n else:\n self.add_last_word()\n\n def handle_entityref(self, name):\n \"\"\"\n Called when an entity ref like '&mdash;' is found\n\n `name` is the entity ref without ampersand and semicolon (e.g. `mdash`)\n \"\"\"\n try:\n codepoint = entities.name2codepoint[name]\n char = chr(codepoint)\n except KeyError:\n char = ''\n self._handle_ref(name, char)\n\n def handle_charref(self, name):\n \"\"\"\n Called when a char ref like '&#8212;' or '&#x2014' is found\n\n `name` is the char ref without ampersand and semicolon (e.g. `#8212` or\n `#x2014`)\n \"\"\"\n try:\n if name.startswith('x'):\n codepoint = int(name[1:], 16)\n else:\n codepoint = int(name)\n char = chr(codepoint)\n except (ValueError, OverflowError):\n char = ''\n self._handle_ref('#' + name, char)\n\n\ndef truncate_html_words(s, num, end_text='…'):\n \"\"\"Truncates HTML to a certain number of words.\n\n (not counting tags and comments). Closes opened tags if they were correctly\n closed in the given html. Takes an optional argument of what should be used\n to notify that the string has been truncated, defaulting to ellipsis (…).\n\n Newlines in the HTML are preserved. (From the django framework).\n \"\"\"\n length = int(num)\n if length <= 0:\n return ''\n truncator = _HTMLWordTruncator(length)\n truncator.feed(s)\n if truncator.truncate_at is None:\n return s\n out = s[:truncator.truncate_at]\n if end_text:\n out += ' ' + end_text\n # Close any tags still open\n for tag in truncator.open_tags:\n out += '</%s>' % tag\n # Return string\n return out\n\n\ndef process_translations(content_list, translation_id=None):\n \"\"\" Finds translations and returns them.\n\n For each content_list item, populates the 'translations' attribute, and\n returns a tuple with two lists (index, translations). Index list includes\n items in default language or items which have no variant in default\n language. Items with the `translation` metadata set to something else than\n `False` or `false` will be used as translations, unless all the items in\n the same group have that metadata.\n\n Translations and original items are determined relative to one another\n amongst items in the same group. Items are in the same group if they\n have the same value(s) for the metadata attribute(s) specified by the\n 'translation_id', which must be a string or a collection of strings.\n If 'translation_id' is falsy, the identification of translations is skipped\n and all items are returned as originals.\n \"\"\"\n\n if not translation_id:\n return content_list, []\n\n if isinstance(translation_id, str):\n translation_id = {translation_id}\n\n index = []\n\n try:\n content_list.sort(key=attrgetter(*translation_id))\n except TypeError:\n raise TypeError('Cannot unpack {}, \\'translation_id\\' must be falsy, a'\n ' string or a collection of strings'\n .format(translation_id))\n except AttributeError:\n raise AttributeError('Cannot use {} as \\'translation_id\\', there '\n 'appear to be items without these metadata '\n 'attributes'.format(translation_id))\n\n for id_vals, items in groupby(content_list, attrgetter(*translation_id)):\n # prepare warning string\n id_vals = (id_vals,) if len(translation_id) == 1 else id_vals\n with_str = 'with' + ', '.join([' {} \"{{}}\"'] * len(translation_id))\\\n .format(*translation_id).format(*id_vals)\n\n items = list(items)\n original_items = get_original_items(items, with_str)\n index.extend(original_items)\n for a in items:\n a.translations = [x for x in items if x != a]\n\n translations = [x for x in content_list if x not in index]\n\n return index, translations\n\n\ndef get_original_items(items, with_str):\n def _warn_source_paths(msg, items, *extra):\n args = [len(items)]\n args.extend(extra)\n args.extend(x.source_path for x in items)\n logger.warning('{}: {}'.format(msg, '\\n%s' * len(items)), *args)\n\n # warn if several items have the same lang\n for lang, lang_items in groupby(items, attrgetter('lang')):\n lang_items = list(lang_items)\n if len(lang_items) > 1:\n _warn_source_paths('There are %s items \"%s\" with lang %s',\n lang_items, with_str, lang)\n\n # items with `translation` metadata will be used as translations...\n candidate_items = [\n i for i in items\n if i.metadata.get('translation', 'false').lower() == 'false']\n\n # ...unless all items with that slug are translations\n if not candidate_items:\n _warn_source_paths('All items (\"%s\") \"%s\" are translations',\n items, with_str)\n candidate_items = items\n\n # find items with default language\n original_items = [i for i in candidate_items if i.in_default_lang]\n\n # if there is no article with default language, go back one step\n if not original_items:\n original_items = candidate_items\n\n # warn if there are several original items\n if len(original_items) > 1:\n _warn_source_paths('There are %s original (not translated) items %s',\n original_items, with_str)\n return original_items\n\n\ndef order_content(content_list, order_by='slug'):\n \"\"\" Sorts content.\n\n order_by can be a string of an attribute or sorting function. If order_by\n is defined, content will be ordered by that attribute or sorting function.\n By default, content is ordered by slug.\n\n Different content types can have default order_by attributes defined\n in settings, e.g. PAGES_ORDER_BY='sort-order', in which case `sort-order`\n should be a defined metadata attribute in each page.\n \"\"\"\n\n if order_by:\n if callable(order_by):\n try:\n content_list.sort(key=order_by)\n except Exception:\n logger.error('Error sorting with function %s', order_by)\n elif isinstance(order_by, str):\n if order_by.startswith('reversed-'):\n order_reversed = True\n order_by = order_by.replace('reversed-', '', 1)\n else:\n order_reversed = False\n\n if order_by == 'basename':\n content_list.sort(\n key=lambda x: os.path.basename(x.source_path or ''),\n reverse=order_reversed)\n else:\n try:\n content_list.sort(key=attrgetter(order_by),\n reverse=order_reversed)\n except AttributeError:\n for content in content_list:\n try:\n getattr(content, order_by)\n except AttributeError:\n logger.warning(\n 'There is no \"%s\" attribute in \"%s\". '\n 'Defaulting to slug order.',\n order_by,\n content.get_relative_source_path(),\n extra={\n 'limit_msg': ('More files are missing '\n 'the needed attribute.')\n })\n else:\n logger.warning(\n 'Invalid *_ORDER_BY setting (%s). '\n 'Valid options are strings and functions.', order_by)\n\n return content_list\n\n\nclass FileSystemWatcher:\n def __init__(self, settings_file, reader_class, settings=None):\n self.watchers = {\n 'settings': FileSystemWatcher.file_watcher(settings_file)\n }\n\n self.settings = None\n self.reader_class = reader_class\n self._extensions = None\n self._content_path = None\n self._theme_path = None\n self._ignore_files = None\n\n if settings is not None:\n self.update_watchers(settings)\n\n def update_watchers(self, settings):\n new_extensions = set(self.reader_class(settings).extensions)\n new_content_path = settings.get('PATH', '')\n new_theme_path = settings.get('THEME', '')\n new_ignore_files = set(settings.get('IGNORE_FILES', []))\n\n extensions_changed = new_extensions != self._extensions\n content_changed = new_content_path != self._content_path\n theme_changed = new_theme_path != self._theme_path\n ignore_changed = new_ignore_files != self._ignore_files\n\n # Refresh content watcher if related settings changed\n if extensions_changed or content_changed or ignore_changed:\n self.add_watcher('content',\n new_content_path,\n new_extensions,\n new_ignore_files)\n\n # Refresh theme watcher if related settings changed\n if theme_changed or ignore_changed:\n self.add_watcher('theme',\n new_theme_path,\n [''],\n new_ignore_files)\n\n # Watch STATIC_PATHS\n old_static_watchers = set(key\n for key in self.watchers\n if key.startswith('[static]'))\n\n for path in settings.get('STATIC_PATHS', []):\n key = '[static]{}'.format(path)\n if ignore_changed or (key not in self.watchers):\n self.add_watcher(\n key,\n os.path.join(new_content_path, path),\n [''],\n new_ignore_files)\n if key in old_static_watchers:\n old_static_watchers.remove(key)\n\n # cleanup removed static watchers\n for key in old_static_watchers:\n del self.watchers[key]\n\n # update values\n self.settings = settings\n self._extensions = new_extensions\n self._content_path = new_content_path\n self._theme_path = new_theme_path\n self._ignore_files = new_ignore_files\n\n def check(self):\n '''return a key:watcher_status dict for all watchers'''\n result = {key: next(watcher) for key, watcher in self.watchers.items()}\n\n # Various warnings\n if result.get('content') is None:\n reader_descs = sorted(\n {\n ' | %s (%s)' % (type(r).__name__, ', '.join(r.file_extensions))\n for r in self.reader_class(self.settings).readers.values()\n if r.enabled\n }\n )\n logger.warning(\n 'No valid files found in content for the active readers:\\n'\n + '\\n'.join(reader_descs))\n\n if result.get('theme') is None:\n logger.warning('Empty theme folder. Using `basic` theme.')\n\n return result\n\n def add_watcher(self, key, path, extensions=[''], ignores=[]):\n watcher = self.get_watcher(path, extensions, ignores)\n if watcher is not None:\n self.watchers[key] = watcher\n\n def get_watcher(self, path, extensions=[''], ignores=[]):\n '''return a watcher depending on path type (file or folder)'''\n if not os.path.exists(path):\n logger.warning(\"Watched path does not exist: %s\", path)\n return None\n\n if os.path.isdir(path):\n return self.folder_watcher(path, extensions, ignores)\n else:\n return self.file_watcher(path)\n\n @staticmethod\n def folder_watcher(path, extensions, ignores=[]):\n '''Generator for monitoring a folder for modifications.\n\n Returns a boolean indicating if files are changed since last check.\n Returns None if there are no matching files in the folder'''\n\n def file_times(path):\n '''Return `mtime` for each file in path'''\n\n for root, dirs, files in os.walk(path, followlinks=True):\n dirs[:] = [x for x in dirs if not x.startswith(os.curdir)]\n\n for f in files:\n valid_extension = f.endswith(tuple(extensions))\n file_ignored = any(\n fnmatch.fnmatch(f, ignore) for ignore in ignores\n )\n if valid_extension and not file_ignored:\n try:\n yield os.stat(os.path.join(root, f)).st_mtime\n except OSError as e:\n logger.warning('Caught Exception: %s', e)\n\n LAST_MTIME = 0\n while True:\n try:\n mtime = max(file_times(path))\n if mtime > LAST_MTIME:\n LAST_MTIME = mtime\n yield True\n except ValueError:\n yield None\n else:\n yield False\n\n @staticmethod\n def file_watcher(path):\n '''Generator for monitoring a file for modifications'''\n LAST_MTIME = 0\n while True:\n if path:\n try:\n mtime = os.stat(path).st_mtime\n except OSError as e:\n logger.warning('Caught Exception: %s', e)\n continue\n\n if mtime > LAST_MTIME:\n LAST_MTIME = mtime\n yield True\n else:\n yield False\n else:\n yield None\n\n\ndef set_date_tzinfo(d, tz_name=None):\n \"\"\"Set the timezone for dates that don't have tzinfo\"\"\"\n if tz_name and not d.tzinfo:\n tz = pytz.timezone(tz_name)\n d = tz.localize(d)\n return SafeDatetime(d.year, d.month, d.day, d.hour, d.minute, d.second,\n d.microsecond, d.tzinfo)\n return d\n\n\ndef mkdir_p(path):\n os.makedirs(path, exist_ok=True)\n\n\ndef split_all(path):\n \"\"\"Split a path into a list of components\n\n While os.path.split() splits a single component off the back of\n `path`, this function splits all components:\n\n >>> split_all(os.path.join('a', 'b', 'c'))\n ['a', 'b', 'c']\n \"\"\"\n components = []\n path = path.lstrip('/')\n while path:\n head, tail = os.path.split(path)\n if tail:\n components.insert(0, tail)\n elif head == path:\n components.insert(0, head)\n break\n path = head\n return components\n\n\ndef is_selected_for_writing(settings, path):\n '''Check whether path is selected for writing\n according to the WRITE_SELECTED list\n\n If WRITE_SELECTED is an empty list (default),\n any path is selected for writing.\n '''\n if settings['WRITE_SELECTED']:\n return path in settings['WRITE_SELECTED']\n else:\n return True\n\n\ndef path_to_file_url(path):\n '''Convert file-system path to file:// URL'''\n return urllib.parse.urljoin(\"file://\", urllib.request.pathname2url(path))\n\n\ndef maybe_pluralize(count, singular, plural):\n '''\n Returns a formatted string containing count and plural if count is not 1\n Returns count and singular if count is 1\n\n maybe_pluralize(0, 'Article', 'Articles') -> '0 Articles'\n maybe_pluralize(1, 'Article', 'Articles') -> '1 Article'\n maybe_pluralize(2, 'Article', 'Articles') -> '2 Articles'\n\n '''\n selection = plural\n if count == 1:\n selection = singular\n return '{} {}'.format(count, selection)\n", "path": "pelican/utils.py" } ]
[ { "content": "import datetime\nimport fnmatch\nimport locale\nimport logging\nimport os\nimport re\nimport shutil\nimport sys\nimport traceback\nimport urllib\nfrom collections.abc import Hashable\nfrom contextlib import contextmanager\nfrom functools import partial\nfrom html import entities\nfrom html.parser import HTMLParser\nfrom itertools import groupby\nfrom operator import attrgetter\n\nimport dateutil.parser\n\nfrom markupsafe import Markup\n\nimport pytz\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef sanitised_join(base_directory, *parts):\n joined = posixize_path(\n os.path.abspath(os.path.join(base_directory, *parts)))\n base = posixize_path(os.path.abspath(base_directory))\n if not joined.startswith(base):\n raise RuntimeError(\n \"Attempted to break out of output directory to {}\".format(\n joined\n )\n )\n\n return joined\n\n\ndef strftime(date, date_format):\n '''\n Enhanced replacement for built-in strftime with zero stripping\n\n This works by 'grabbing' possible format strings (those starting with %),\n formatting them with the date, stripping any leading zeros if - prefix is\n used and replacing formatted output back.\n '''\n def strip_zeros(x):\n return x.lstrip('0') or '0'\n # includes ISO date parameters added by Python 3.6\n c89_directives = 'aAbBcdfGHIjmMpSUuVwWxXyYzZ%'\n\n # grab candidate format options\n format_options = '%[-]?.'\n candidates = re.findall(format_options, date_format)\n\n # replace candidates with placeholders for later % formatting\n template = re.sub(format_options, '%s', date_format)\n\n formatted_candidates = []\n for candidate in candidates:\n # test for valid C89 directives only\n if candidate[-1] in c89_directives:\n # check for '-' prefix\n if len(candidate) == 3:\n # '-' prefix\n candidate = '%{}'.format(candidate[-1])\n conversion = strip_zeros\n else:\n conversion = None\n\n # format date\n if isinstance(date, SafeDatetime):\n formatted = date.strftime(candidate, safe=False)\n else:\n formatted = date.strftime(candidate)\n\n # strip zeros if '-' prefix is used\n if conversion:\n formatted = conversion(formatted)\n else:\n formatted = candidate\n formatted_candidates.append(formatted)\n\n # put formatted candidates back and return\n return template % tuple(formatted_candidates)\n\n\nclass SafeDatetime(datetime.datetime):\n '''Subclass of datetime that works with utf-8 format strings on PY2'''\n\n def strftime(self, fmt, safe=True):\n '''Uses our custom strftime if supposed to be *safe*'''\n if safe:\n return strftime(self, fmt)\n else:\n return super().strftime(fmt)\n\n\nclass DateFormatter:\n '''A date formatter object used as a jinja filter\n\n Uses the `strftime` implementation and makes sure jinja uses the locale\n defined in LOCALE setting\n '''\n\n def __init__(self):\n self.locale = locale.setlocale(locale.LC_TIME)\n\n def __call__(self, date, date_format):\n old_lc_time = locale.setlocale(locale.LC_TIME)\n old_lc_ctype = locale.setlocale(locale.LC_CTYPE)\n\n locale.setlocale(locale.LC_TIME, self.locale)\n # on OSX, encoding from LC_CTYPE determines the unicode output in PY3\n # make sure it's same as LC_TIME\n locale.setlocale(locale.LC_CTYPE, self.locale)\n\n formatted = strftime(date, date_format)\n\n locale.setlocale(locale.LC_TIME, old_lc_time)\n locale.setlocale(locale.LC_CTYPE, old_lc_ctype)\n return formatted\n\n\nclass memoized:\n \"\"\"Function decorator to cache return values.\n\n If called later with the same arguments, the cached value is returned\n (not reevaluated).\n\n \"\"\"\n\n def __init__(self, func):\n self.func = func\n self.cache = {}\n\n def __call__(self, *args):\n if not isinstance(args, Hashable):\n # uncacheable. a list, for instance.\n # better to not cache than blow up.\n return self.func(*args)\n if args in self.cache:\n return self.cache[args]\n else:\n value = self.func(*args)\n self.cache[args] = value\n return value\n\n def __repr__(self):\n return self.func.__doc__\n\n def __get__(self, obj, objtype):\n '''Support instance methods.'''\n return partial(self.__call__, obj)\n\n\ndef deprecated_attribute(old, new, since=None, remove=None, doc=None):\n \"\"\"Attribute deprecation decorator for gentle upgrades\n\n For example:\n\n class MyClass (object):\n @deprecated_attribute(\n old='abc', new='xyz', since=(3, 2, 0), remove=(4, 1, 3))\n def abc(): return None\n\n def __init__(self):\n xyz = 5\n\n Note that the decorator needs a dummy method to attach to, but the\n content of the dummy method is ignored.\n \"\"\"\n def _warn():\n version = '.'.join(str(x) for x in since)\n message = ['{} has been deprecated since {}'.format(old, version)]\n if remove:\n version = '.'.join(str(x) for x in remove)\n message.append(\n ' and will be removed by version {}'.format(version))\n message.append('. Use {} instead.'.format(new))\n logger.warning(''.join(message))\n logger.debug(''.join(str(x) for x\n in traceback.format_stack()))\n\n def fget(self):\n _warn()\n return getattr(self, new)\n\n def fset(self, value):\n _warn()\n setattr(self, new, value)\n\n def decorator(dummy):\n return property(fget=fget, fset=fset, doc=doc)\n\n return decorator\n\n\ndef get_date(string):\n \"\"\"Return a datetime object from a string.\n\n If no format matches the given date, raise a ValueError.\n \"\"\"\n string = re.sub(' +', ' ', string)\n default = SafeDatetime.now().replace(hour=0, minute=0,\n second=0, microsecond=0)\n try:\n return dateutil.parser.parse(string, default=default)\n except (TypeError, ValueError):\n raise ValueError('{!r} is not a valid date'.format(string))\n\n\n@contextmanager\ndef pelican_open(filename, mode='r', strip_crs=(sys.platform == 'win32')):\n \"\"\"Open a file and return its content\"\"\"\n\n # utf-8-sig will clear any BOM if present\n with open(filename, mode, encoding='utf-8-sig') as infile:\n content = infile.read()\n yield content\n\n\ndef slugify(value, regex_subs=(), preserve_case=False, use_unicode=False):\n \"\"\"\n Normalizes string, converts to lowercase, removes non-alpha characters,\n and converts spaces to hyphens.\n\n Took from Django sources.\n\n For a set of sensible default regex substitutions to pass to regex_subs\n look into pelican.settings.DEFAULT_CONFIG['SLUG_REGEX_SUBSTITUTIONS'].\n \"\"\"\n\n import unicodedata\n import unidecode\n\n def normalize_unicode(text):\n # normalize text by compatibility composition\n # see: https://en.wikipedia.org/wiki/Unicode_equivalence\n return unicodedata.normalize('NFKC', text)\n\n # strip tags from value\n value = Markup(value).striptags()\n\n # normalization\n value = normalize_unicode(value)\n\n if not use_unicode:\n # ASCII-fy\n value = unidecode.unidecode(value)\n\n # perform regex substitutions\n for src, dst in regex_subs:\n value = re.sub(\n normalize_unicode(src),\n normalize_unicode(dst),\n value,\n flags=re.IGNORECASE)\n\n if not preserve_case:\n value = value.lower()\n\n return value.strip()\n\n\ndef copy(source, destination, ignores=None):\n \"\"\"Recursively copy source into destination.\n\n If source is a file, destination has to be a file as well.\n The function is able to copy either files or directories.\n\n :param source: the source file or directory\n :param destination: the destination file or directory\n :param ignores: either None, or a list of glob patterns;\n files matching those patterns will _not_ be copied.\n \"\"\"\n\n def walk_error(err):\n logger.warning(\"While copying %s: %s: %s\",\n source_, err.filename, err.strerror)\n\n source_ = os.path.abspath(os.path.expanduser(source))\n destination_ = os.path.abspath(os.path.expanduser(destination))\n\n if ignores is None:\n ignores = []\n\n if any(fnmatch.fnmatch(os.path.basename(source), ignore)\n for ignore in ignores):\n logger.info('Not copying %s due to ignores', source_)\n return\n\n if os.path.isfile(source_):\n dst_dir = os.path.dirname(destination_)\n if not os.path.exists(dst_dir):\n logger.info('Creating directory %s', dst_dir)\n os.makedirs(dst_dir)\n logger.info('Copying %s to %s', source_, destination_)\n copy_file_metadata(source_, destination_)\n\n elif os.path.isdir(source_):\n if not os.path.exists(destination_):\n logger.info('Creating directory %s', destination_)\n os.makedirs(destination_)\n if not os.path.isdir(destination_):\n logger.warning('Cannot copy %s (a directory) to %s (a file)',\n source_, destination_)\n return\n\n for src_dir, subdirs, others in os.walk(source_, followlinks=True):\n dst_dir = os.path.join(destination_,\n os.path.relpath(src_dir, source_))\n\n subdirs[:] = (s for s in subdirs if not any(fnmatch.fnmatch(s, i)\n for i in ignores))\n others[:] = (o for o in others if not any(fnmatch.fnmatch(o, i)\n for i in ignores))\n\n if not os.path.isdir(dst_dir):\n logger.info('Creating directory %s', dst_dir)\n # Parent directories are known to exist, so 'mkdir' suffices.\n os.mkdir(dst_dir)\n\n for o in others:\n src_path = os.path.join(src_dir, o)\n dst_path = os.path.join(dst_dir, o)\n if os.path.isfile(src_path):\n logger.info('Copying %s to %s', src_path, dst_path)\n copy_file_metadata(src_path, dst_path)\n else:\n logger.warning('Skipped copy %s (not a file or '\n 'directory) to %s',\n src_path, dst_path)\n\n\ndef copy_file_metadata(source, destination):\n '''Copy a file and its metadata (perm bits, access times, ...)'''\n\n # This function is a workaround for Android python copystat\n # bug ([issue28141]) https://bugs.python.org/issue28141\n try:\n shutil.copy2(source, destination)\n except OSError as e:\n logger.warning(\"A problem occurred copying file %s to %s; %s\",\n source, destination, e)\n\n\ndef clean_output_dir(path, retention):\n \"\"\"Remove all files from output directory except those in retention list\"\"\"\n\n if not os.path.exists(path):\n logger.debug(\"Directory already removed: %s\", path)\n return\n\n if not os.path.isdir(path):\n try:\n os.remove(path)\n except Exception as e:\n logger.error(\"Unable to delete file %s; %s\", path, e)\n return\n\n # remove existing content from output folder unless in retention list\n for filename in os.listdir(path):\n file = os.path.join(path, filename)\n if any(filename == retain for retain in retention):\n logger.debug(\"Skipping deletion; %s is on retention list: %s\",\n filename, file)\n elif os.path.isdir(file):\n try:\n shutil.rmtree(file)\n logger.debug(\"Deleted directory %s\", file)\n except Exception as e:\n logger.error(\"Unable to delete directory %s; %s\",\n file, e)\n elif os.path.isfile(file) or os.path.islink(file):\n try:\n os.remove(file)\n logger.debug(\"Deleted file/link %s\", file)\n except Exception as e:\n logger.error(\"Unable to delete file %s; %s\", file, e)\n else:\n logger.error(\"Unable to delete %s, file type unknown\", file)\n\n\ndef get_relative_path(path):\n \"\"\"Return the relative path from the given path to the root path.\"\"\"\n components = split_all(path)\n if len(components) <= 1:\n return os.curdir\n else:\n parents = [os.pardir] * (len(components) - 1)\n return os.path.join(*parents)\n\n\ndef path_to_url(path):\n \"\"\"Return the URL corresponding to a given path.\"\"\"\n if path is not None:\n path = posixize_path(path)\n return path\n\n\ndef posixize_path(rel_path):\n \"\"\"Use '/' as path separator, so that source references,\n like '{static}/foo/bar.jpg' or 'extras/favicon.ico',\n will work on Windows as well as on Mac and Linux.\"\"\"\n return rel_path.replace(os.sep, '/')\n\n\nclass _HTMLWordTruncator(HTMLParser):\n\n _word_regex = re.compile(r\"(({SBC})({SBC}|-|')*)|{DBC}\".format(\n # SBC means Latin-like characters. A word contains a few characters.\n # ASCII |Extended Latin | Cyrillic\n SBC=\"[0-9a-zA-Z]|[\\u00C0-\\u024f]|[\\u0400-\\u04FF]\",\n # DBC means CJK-like characters. An character can stand for a word.\n DBC=(\"([\\u4E00-\\u9FFF])|\" # CJK Unified Ideographs\n \"([\\u3400-\\u4DBF])|\" # CJK Unified Ideographs Extension A\n \"([\\uF900-\\uFAFF])|\" # CJK Compatibility Ideographs\n \"([\\U00020000-\\U0002A6DF])|\" # CJK Unified Ideographs Extension B\n \"([\\U0002F800-\\U0002FA1F])|\" # CJK Compatibility Ideographs Supplement\n \"([\\u3040-\\u30FF])|\" # Hiragana and Katakana\n \"([\\u1100-\\u11FF])|\" # Hangul Jamo\n \"([\\uAC00-\\uD7FF])|\" # Hangul Compatibility Jamo\n \"([\\u3130-\\u318F])\" # Hangul Syllables\n )), re.UNICODE)\n _word_prefix_regex = re.compile(r'\\w', re.U)\n _singlets = ('br', 'col', 'link', 'base', 'img', 'param', 'area',\n 'hr', 'input')\n\n class TruncationCompleted(Exception):\n\n def __init__(self, truncate_at):\n super().__init__(truncate_at)\n self.truncate_at = truncate_at\n\n def __init__(self, max_words):\n super().__init__(convert_charrefs=False)\n\n self.max_words = max_words\n self.words_found = 0\n self.open_tags = []\n self.last_word_end = None\n self.truncate_at = None\n\n def feed(self, *args, **kwargs):\n try:\n super().feed(*args, **kwargs)\n except self.TruncationCompleted as exc:\n self.truncate_at = exc.truncate_at\n else:\n self.truncate_at = None\n\n def getoffset(self):\n line_start = 0\n lineno, line_offset = self.getpos()\n for i in range(lineno - 1):\n line_start = self.rawdata.index('\\n', line_start) + 1\n return line_start + line_offset\n\n def add_word(self, word_end):\n self.words_found += 1\n self.last_word_end = None\n if self.words_found == self.max_words:\n raise self.TruncationCompleted(word_end)\n\n def add_last_word(self):\n if self.last_word_end is not None:\n self.add_word(self.last_word_end)\n\n def handle_starttag(self, tag, attrs):\n self.add_last_word()\n if tag not in self._singlets:\n self.open_tags.insert(0, tag)\n\n def handle_endtag(self, tag):\n self.add_last_word()\n try:\n i = self.open_tags.index(tag)\n except ValueError:\n pass\n else:\n # SGML: An end tag closes, back to the matching start tag,\n # all unclosed intervening start tags with omitted end tags\n del self.open_tags[:i + 1]\n\n def handle_data(self, data):\n word_end = 0\n offset = self.getoffset()\n\n while self.words_found < self.max_words:\n match = self._word_regex.search(data, word_end)\n if not match:\n break\n\n if match.start(0) > 0:\n self.add_last_word()\n\n word_end = match.end(0)\n self.last_word_end = offset + word_end\n\n if word_end < len(data):\n self.add_last_word()\n\n def _handle_ref(self, name, char):\n \"\"\"\n Called by handle_entityref() or handle_charref() when a ref like\n `&mdash;`, `&#8212;`, or `&#x2014` is found.\n\n The arguments for this method are:\n\n - `name`: the HTML entity name (such as `mdash` or `#8212` or `#x2014`)\n - `char`: the Unicode representation of the ref (such as `—`)\n\n This method checks whether the entity is considered to be part of a\n word or not and, if not, signals the end of a word.\n \"\"\"\n # Compute the index of the character right after the ref.\n #\n # In a string like 'prefix&mdash;suffix', the end is the sum of:\n #\n # - `self.getoffset()` (the length of `prefix`)\n # - `1` (the length of `&`)\n # - `len(name)` (the length of `mdash`)\n # - `1` (the length of `;`)\n #\n # Note that, in case of malformed HTML, the ';' character may\n # not be present.\n\n offset = self.getoffset()\n ref_end = offset + len(name) + 1\n\n try:\n if self.rawdata[ref_end] == ';':\n ref_end += 1\n except IndexError:\n # We are at the end of the string and there's no ';'\n pass\n\n if self.last_word_end is None:\n if self._word_prefix_regex.match(char):\n self.last_word_end = ref_end\n else:\n if self._word_regex.match(char):\n self.last_word_end = ref_end\n else:\n self.add_last_word()\n\n def handle_entityref(self, name):\n \"\"\"\n Called when an entity ref like '&mdash;' is found\n\n `name` is the entity ref without ampersand and semicolon (e.g. `mdash`)\n \"\"\"\n try:\n codepoint = entities.name2codepoint[name]\n char = chr(codepoint)\n except KeyError:\n char = ''\n self._handle_ref(name, char)\n\n def handle_charref(self, name):\n \"\"\"\n Called when a char ref like '&#8212;' or '&#x2014' is found\n\n `name` is the char ref without ampersand and semicolon (e.g. `#8212` or\n `#x2014`)\n \"\"\"\n try:\n if name.startswith('x'):\n codepoint = int(name[1:], 16)\n else:\n codepoint = int(name)\n char = chr(codepoint)\n except (ValueError, OverflowError):\n char = ''\n self._handle_ref('#' + name, char)\n\n\ndef truncate_html_words(s, num, end_text='…'):\n \"\"\"Truncates HTML to a certain number of words.\n\n (not counting tags and comments). Closes opened tags if they were correctly\n closed in the given html. Takes an optional argument of what should be used\n to notify that the string has been truncated, defaulting to ellipsis (…).\n\n Newlines in the HTML are preserved. (From the django framework).\n \"\"\"\n length = int(num)\n if length <= 0:\n return ''\n truncator = _HTMLWordTruncator(length)\n truncator.feed(s)\n if truncator.truncate_at is None:\n return s\n out = s[:truncator.truncate_at]\n if end_text:\n out += ' ' + end_text\n # Close any tags still open\n for tag in truncator.open_tags:\n out += '</%s>' % tag\n # Return string\n return out\n\n\ndef process_translations(content_list, translation_id=None):\n \"\"\" Finds translations and returns them.\n\n For each content_list item, populates the 'translations' attribute, and\n returns a tuple with two lists (index, translations). Index list includes\n items in default language or items which have no variant in default\n language. Items with the `translation` metadata set to something else than\n `False` or `false` will be used as translations, unless all the items in\n the same group have that metadata.\n\n Translations and original items are determined relative to one another\n amongst items in the same group. Items are in the same group if they\n have the same value(s) for the metadata attribute(s) specified by the\n 'translation_id', which must be a string or a collection of strings.\n If 'translation_id' is falsy, the identification of translations is skipped\n and all items are returned as originals.\n \"\"\"\n\n if not translation_id:\n return content_list, []\n\n if isinstance(translation_id, str):\n translation_id = {translation_id}\n\n index = []\n\n try:\n content_list.sort(key=attrgetter(*translation_id))\n except TypeError:\n raise TypeError('Cannot unpack {}, \\'translation_id\\' must be falsy, a'\n ' string or a collection of strings'\n .format(translation_id))\n except AttributeError:\n raise AttributeError('Cannot use {} as \\'translation_id\\', there '\n 'appear to be items without these metadata '\n 'attributes'.format(translation_id))\n\n for id_vals, items in groupby(content_list, attrgetter(*translation_id)):\n # prepare warning string\n id_vals = (id_vals,) if len(translation_id) == 1 else id_vals\n with_str = 'with' + ', '.join([' {} \"{{}}\"'] * len(translation_id))\\\n .format(*translation_id).format(*id_vals)\n\n items = list(items)\n original_items = get_original_items(items, with_str)\n index.extend(original_items)\n for a in items:\n a.translations = [x for x in items if x != a]\n\n translations = [x for x in content_list if x not in index]\n\n return index, translations\n\n\ndef get_original_items(items, with_str):\n def _warn_source_paths(msg, items, *extra):\n args = [len(items)]\n args.extend(extra)\n args.extend(x.source_path for x in items)\n logger.warning('{}: {}'.format(msg, '\\n%s' * len(items)), *args)\n\n # warn if several items have the same lang\n for lang, lang_items in groupby(items, attrgetter('lang')):\n lang_items = list(lang_items)\n if len(lang_items) > 1:\n _warn_source_paths('There are %s items \"%s\" with lang %s',\n lang_items, with_str, lang)\n\n # items with `translation` metadata will be used as translations...\n candidate_items = [\n i for i in items\n if i.metadata.get('translation', 'false').lower() == 'false']\n\n # ...unless all items with that slug are translations\n if not candidate_items:\n _warn_source_paths('All items (\"%s\") \"%s\" are translations',\n items, with_str)\n candidate_items = items\n\n # find items with default language\n original_items = [i for i in candidate_items if i.in_default_lang]\n\n # if there is no article with default language, go back one step\n if not original_items:\n original_items = candidate_items\n\n # warn if there are several original items\n if len(original_items) > 1:\n _warn_source_paths('There are %s original (not translated) items %s',\n original_items, with_str)\n return original_items\n\n\ndef order_content(content_list, order_by='slug'):\n \"\"\" Sorts content.\n\n order_by can be a string of an attribute or sorting function. If order_by\n is defined, content will be ordered by that attribute or sorting function.\n By default, content is ordered by slug.\n\n Different content types can have default order_by attributes defined\n in settings, e.g. PAGES_ORDER_BY='sort-order', in which case `sort-order`\n should be a defined metadata attribute in each page.\n \"\"\"\n\n if order_by:\n if callable(order_by):\n try:\n content_list.sort(key=order_by)\n except Exception:\n logger.error('Error sorting with function %s', order_by)\n elif isinstance(order_by, str):\n if order_by.startswith('reversed-'):\n order_reversed = True\n order_by = order_by.replace('reversed-', '', 1)\n else:\n order_reversed = False\n\n if order_by == 'basename':\n content_list.sort(\n key=lambda x: os.path.basename(x.source_path or ''),\n reverse=order_reversed)\n else:\n try:\n content_list.sort(key=attrgetter(order_by),\n reverse=order_reversed)\n except AttributeError:\n for content in content_list:\n try:\n getattr(content, order_by)\n except AttributeError:\n logger.warning(\n 'There is no \"%s\" attribute in \"%s\". '\n 'Defaulting to slug order.',\n order_by,\n content.get_relative_source_path(),\n extra={\n 'limit_msg': ('More files are missing '\n 'the needed attribute.')\n })\n else:\n logger.warning(\n 'Invalid *_ORDER_BY setting (%s). '\n 'Valid options are strings and functions.', order_by)\n\n return content_list\n\n\nclass FileSystemWatcher:\n def __init__(self, settings_file, reader_class, settings=None):\n self.watchers = {\n 'settings': FileSystemWatcher.file_watcher(settings_file)\n }\n\n self.settings = None\n self.reader_class = reader_class\n self._extensions = None\n self._content_path = None\n self._theme_path = None\n self._ignore_files = None\n\n if settings is not None:\n self.update_watchers(settings)\n\n def update_watchers(self, settings):\n new_extensions = set(self.reader_class(settings).extensions)\n new_content_path = settings.get('PATH', '')\n new_theme_path = settings.get('THEME', '')\n new_ignore_files = set(settings.get('IGNORE_FILES', []))\n\n extensions_changed = new_extensions != self._extensions\n content_changed = new_content_path != self._content_path\n theme_changed = new_theme_path != self._theme_path\n ignore_changed = new_ignore_files != self._ignore_files\n\n # Refresh content watcher if related settings changed\n if extensions_changed or content_changed or ignore_changed:\n self.add_watcher('content',\n new_content_path,\n new_extensions,\n new_ignore_files)\n\n # Refresh theme watcher if related settings changed\n if theme_changed or ignore_changed:\n self.add_watcher('theme',\n new_theme_path,\n [''],\n new_ignore_files)\n\n # Watch STATIC_PATHS\n old_static_watchers = set(key\n for key in self.watchers\n if key.startswith('[static]'))\n\n for path in settings.get('STATIC_PATHS', []):\n key = '[static]{}'.format(path)\n if ignore_changed or (key not in self.watchers):\n self.add_watcher(\n key,\n os.path.join(new_content_path, path),\n [''],\n new_ignore_files)\n if key in old_static_watchers:\n old_static_watchers.remove(key)\n\n # cleanup removed static watchers\n for key in old_static_watchers:\n del self.watchers[key]\n\n # update values\n self.settings = settings\n self._extensions = new_extensions\n self._content_path = new_content_path\n self._theme_path = new_theme_path\n self._ignore_files = new_ignore_files\n\n def check(self):\n '''return a key:watcher_status dict for all watchers'''\n result = {key: next(watcher) for key, watcher in self.watchers.items()}\n\n # Various warnings\n if result.get('content') is None:\n reader_descs = sorted(\n {\n ' | %s (%s)' % (type(r).__name__, ', '.join(r.file_extensions))\n for r in self.reader_class(self.settings).readers.values()\n if r.enabled\n }\n )\n logger.warning(\n 'No valid files found in content for the active readers:\\n'\n + '\\n'.join(reader_descs))\n\n if result.get('theme') is None:\n logger.warning('Empty theme folder. Using `basic` theme.')\n\n return result\n\n def add_watcher(self, key, path, extensions=[''], ignores=[]):\n watcher = self.get_watcher(path, extensions, ignores)\n if watcher is not None:\n self.watchers[key] = watcher\n\n def get_watcher(self, path, extensions=[''], ignores=[]):\n '''return a watcher depending on path type (file or folder)'''\n if not os.path.exists(path):\n logger.warning(\"Watched path does not exist: %s\", path)\n return None\n\n if os.path.isdir(path):\n return self.folder_watcher(path, extensions, ignores)\n else:\n return self.file_watcher(path)\n\n @staticmethod\n def folder_watcher(path, extensions, ignores=[]):\n '''Generator for monitoring a folder for modifications.\n\n Returns a boolean indicating if files are changed since last check.\n Returns None if there are no matching files in the folder'''\n\n def file_times(path):\n '''Return `mtime` for each file in path'''\n\n for root, dirs, files in os.walk(path, followlinks=True):\n dirs[:] = [x for x in dirs if not x.startswith(os.curdir)]\n\n for f in files:\n valid_extension = f.endswith(tuple(extensions))\n file_ignored = any(\n fnmatch.fnmatch(f, ignore) for ignore in ignores\n )\n if valid_extension and not file_ignored:\n try:\n yield os.stat(os.path.join(root, f)).st_mtime\n except OSError as e:\n logger.warning('Caught Exception: %s', e)\n\n LAST_MTIME = 0\n while True:\n try:\n mtime = max(file_times(path))\n if mtime > LAST_MTIME:\n LAST_MTIME = mtime\n yield True\n except ValueError:\n yield None\n else:\n yield False\n\n @staticmethod\n def file_watcher(path):\n '''Generator for monitoring a file for modifications'''\n LAST_MTIME = 0\n while True:\n if path:\n try:\n mtime = os.stat(path).st_mtime\n except OSError as e:\n logger.warning('Caught Exception: %s', e)\n continue\n\n if mtime > LAST_MTIME:\n LAST_MTIME = mtime\n yield True\n else:\n yield False\n else:\n yield None\n\n\ndef set_date_tzinfo(d, tz_name=None):\n \"\"\"Set the timezone for dates that don't have tzinfo\"\"\"\n if tz_name and not d.tzinfo:\n tz = pytz.timezone(tz_name)\n d = tz.localize(d)\n return SafeDatetime(d.year, d.month, d.day, d.hour, d.minute, d.second,\n d.microsecond, d.tzinfo)\n return d\n\n\ndef mkdir_p(path):\n os.makedirs(path, exist_ok=True)\n\n\ndef split_all(path):\n \"\"\"Split a path into a list of components\n\n While os.path.split() splits a single component off the back of\n `path`, this function splits all components:\n\n >>> split_all(os.path.join('a', 'b', 'c'))\n ['a', 'b', 'c']\n \"\"\"\n components = []\n path = path.lstrip('/')\n while path:\n head, tail = os.path.split(path)\n if tail:\n components.insert(0, tail)\n elif head == path:\n components.insert(0, head)\n break\n path = head\n return components\n\n\ndef is_selected_for_writing(settings, path):\n '''Check whether path is selected for writing\n according to the WRITE_SELECTED list\n\n If WRITE_SELECTED is an empty list (default),\n any path is selected for writing.\n '''\n if settings['WRITE_SELECTED']:\n return path in settings['WRITE_SELECTED']\n else:\n return True\n\n\ndef path_to_file_url(path):\n '''Convert file-system path to file:// URL'''\n return urllib.parse.urljoin(\"file://\", urllib.request.pathname2url(path))\n\n\ndef maybe_pluralize(count, singular, plural):\n '''\n Returns a formatted string containing count and plural if count is not 1\n Returns count and singular if count is 1\n\n maybe_pluralize(0, 'Article', 'Articles') -> '0 Articles'\n maybe_pluralize(1, 'Article', 'Articles') -> '1 Article'\n maybe_pluralize(2, 'Article', 'Articles') -> '2 Articles'\n\n '''\n selection = plural\n if count == 1:\n selection = singular\n return '{} {}'.format(count, selection)\n", "path": "pelican/utils.py" } ]
diff --git a/pelican/utils.py b/pelican/utils.py index 4d0256576..176670784 100644 --- a/pelican/utils.py +++ b/pelican/utils.py @@ -230,6 +230,9 @@ def slugify(value, regex_subs=(), preserve_case=False, use_unicode=False): and converts spaces to hyphens. Took from Django sources. + + For a set of sensible default regex substitutions to pass to regex_subs + look into pelican.settings.DEFAULT_CONFIG['SLUG_REGEX_SUBSTITUTIONS']. """ import unicodedata
slugify is no longer hyphenating - [x] I have read the [Filing Issues](https://docs.getpelican.com/en/latest/contribute.html#filing-issues) and subsequent “How to Get Help” sections of the documentation. - [x] I have searched the [issues](https://github.com/getpelican/pelican/issues?q=is%3Aissue) (including closed ones) and believe that this is not a duplicate. - **Pelican version**: pelican @ git+https://github.com/getpelican/pelican.git@8bb5f1b786b6f2b22d1dc4501796d6df9a658a05 ## Issue slugify seems to no longer make hyphens out of spaces: ```python from pelican.utils import slugify assert slugify("asdf fdsa") == "asdf-fdsa" ``` This is breaking plugins that depend on that behaviour. Either change the docstring to indicate that hyphenating is no longer happening or restore old behaviour.
pfnet__pytorch-pfn-extras-363
[ { "content": "import os\nimport setuptools\n\n\nhere = os.path.abspath(os.path.dirname(__file__))\n# Get __version__ variable\nexec(open(os.path.join(here, 'pytorch_pfn_extras', '_version.py')).read())\n\n\nsetuptools.setup(\n name='pytorch-pfn-extras',\n version=__version__, # NOQA\n description='Supplementary components to accelerate research and '\n 'development in PyTorch.',\n author='Preferred Networks, Inc.',\n license='MIT License',\n install_requires=['numpy', 'torch'],\n extras_require={\n 'test': ['pytest'],\n 'onnx': ['onnx'],\n },\n python_requires='>=3.6.0',\n packages=setuptools.find_packages(exclude=['tests']),\n package_data={'pytorch_pfn_extras': ['py.typed']},\n)\n", "path": "setup.py" } ]
[ { "content": "import os\nimport setuptools\n\n\nhere = os.path.abspath(os.path.dirname(__file__))\n# Get __version__ variable\nexec(open(os.path.join(here, 'pytorch_pfn_extras', '_version.py')).read())\n\n\nsetuptools.setup(\n name='pytorch-pfn-extras',\n version=__version__, # NOQA\n description='Supplementary components to accelerate research and '\n 'development in PyTorch.',\n author='Preferred Networks, Inc.',\n license='MIT License',\n install_requires=['numpy', 'torch'],\n extras_require={\n 'test': ['pytest'],\n 'onnx': ['onnx'],\n },\n python_requires='>=3.6.0',\n packages=setuptools.find_packages(exclude=['tests', 'tests.*']),\n package_data={'pytorch_pfn_extras': ['py.typed']},\n)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index dbea96b73..9c5ab3a43 100644 --- a/setup.py +++ b/setup.py @@ -20,6 +20,6 @@ 'onnx': ['onnx'], }, python_requires='>=3.6.0', - packages=setuptools.find_packages(exclude=['tests']), + packages=setuptools.find_packages(exclude=['tests', 'tests.*']), package_data={'pytorch_pfn_extras': ['py.typed']}, )
Tests package is not correctly excluded Currently test codes are installed to site-packages. `setuptools.find_packages(exclude=['tests'])` needs to be fixed.
Textualize__rich-3105
[ { "content": "CONSOLE_HTML_FORMAT = \"\"\"\\\n<!DOCTYPE html>\n<html>\n<head>\n<meta charset=\"UTF-8\">\n<style>\n{stylesheet}\nbody {{\n color: {foreground};\n background-color: {background};\n}}\n</style>\n</head>\n<body>\n <pre style=\"font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><code>{code}</code></pre>\n</body>\n</html>\n\"\"\"\n\nCONSOLE_SVG_FORMAT = \"\"\"\\\n<svg class=\"rich-terminal\" viewBox=\"0 0 {width} {height}\" xmlns=\"http://www.w3.org/2000/svg\">\n <!-- Generated with Rich https://www.textualize.io -->\n <style>\n\n @font-face {{\n font-family: \"Fira Code\";\n src: local(\"FiraCode-Regular\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff2/FiraCode-Regular.woff2\") format(\"woff2\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff/FiraCode-Regular.woff\") format(\"woff\");\n font-style: normal;\n font-weight: 400;\n }}\n @font-face {{\n font-family: \"Fira Code\";\n src: local(\"FiraCode-Bold\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff2/FiraCode-Bold.woff2\") format(\"woff2\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff/FiraCode-Bold.woff\") format(\"woff\");\n font-style: bold;\n font-weight: 700;\n }}\n\n .{unique_id}-matrix {{\n font-family: Fira Code, monospace;\n font-size: {char_height}px;\n line-height: {line_height}px;\n font-variant-east-asian: full-width;\n }}\n\n .{unique_id}-title {{\n font-size: 18px;\n font-weight: bold;\n font-family: arial;\n }}\n\n {styles}\n </style>\n\n <defs>\n <clipPath id=\"{unique_id}-clip-terminal\">\n <rect x=\"0\" y=\"0\" width=\"{terminal_width}\" height=\"{terminal_height}\" />\n </clipPath>\n {lines}\n </defs>\n\n {chrome}\n <g transform=\"translate({terminal_x}, {terminal_y})\" clip-path=\"url(#{unique_id}-clip-terminal)\">\n {backgrounds}\n <g class=\"{unique_id}-matrix\">\n {matrix}\n </g>\n </g>\n</svg>\n\"\"\"\n\n_SVG_FONT_FAMILY = \"Rich Fira Code\"\n_SVG_CLASSES_PREFIX = \"rich-svg\"\n", "path": "rich/_export_format.py" } ]
[ { "content": "CONSOLE_HTML_FORMAT = \"\"\"\\\n<!DOCTYPE html>\n<html>\n<head>\n<meta charset=\"UTF-8\">\n<style>\n{stylesheet}\nbody {{\n color: {foreground};\n background-color: {background};\n}}\n</style>\n</head>\n<body>\n <pre style=\"font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><code style=\"font-family:inherit\">{code}</code></pre>\n</body>\n</html>\n\"\"\"\n\nCONSOLE_SVG_FORMAT = \"\"\"\\\n<svg class=\"rich-terminal\" viewBox=\"0 0 {width} {height}\" xmlns=\"http://www.w3.org/2000/svg\">\n <!-- Generated with Rich https://www.textualize.io -->\n <style>\n\n @font-face {{\n font-family: \"Fira Code\";\n src: local(\"FiraCode-Regular\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff2/FiraCode-Regular.woff2\") format(\"woff2\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff/FiraCode-Regular.woff\") format(\"woff\");\n font-style: normal;\n font-weight: 400;\n }}\n @font-face {{\n font-family: \"Fira Code\";\n src: local(\"FiraCode-Bold\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff2/FiraCode-Bold.woff2\") format(\"woff2\"),\n url(\"https://cdnjs.cloudflare.com/ajax/libs/firacode/6.2.0/woff/FiraCode-Bold.woff\") format(\"woff\");\n font-style: bold;\n font-weight: 700;\n }}\n\n .{unique_id}-matrix {{\n font-family: Fira Code, monospace;\n font-size: {char_height}px;\n line-height: {line_height}px;\n font-variant-east-asian: full-width;\n }}\n\n .{unique_id}-title {{\n font-size: 18px;\n font-weight: bold;\n font-family: arial;\n }}\n\n {styles}\n </style>\n\n <defs>\n <clipPath id=\"{unique_id}-clip-terminal\">\n <rect x=\"0\" y=\"0\" width=\"{terminal_width}\" height=\"{terminal_height}\" />\n </clipPath>\n {lines}\n </defs>\n\n {chrome}\n <g transform=\"translate({terminal_x}, {terminal_y})\" clip-path=\"url(#{unique_id}-clip-terminal)\">\n {backgrounds}\n <g class=\"{unique_id}-matrix\">\n {matrix}\n </g>\n </g>\n</svg>\n\"\"\"\n\n_SVG_FONT_FAMILY = \"Rich Fira Code\"\n_SVG_CLASSES_PREFIX = \"rich-svg\"\n", "path": "rich/_export_format.py" } ]
diff --git a/CHANGELOG.md b/CHANGELOG.md index f68d33c02..3562f6df6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -11,6 +11,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Adds missing parameters to Panel.fit https://github.com/Textualize/rich/issues/3142 +### Fixed + +- Ensure font is correctly inherited in exported HTML https://github.com/Textualize/rich/issues/3104 + ## [13.6.0] - 2023-09-30 ### Added diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md index bff51eea3..ba8759eae 100644 --- a/CONTRIBUTORS.md +++ b/CONTRIBUTORS.md @@ -73,3 +73,4 @@ The following people have contributed to the development of Rich: - [James Addison](https://github.com/jayaddison) - [Pierro](https://github.com/xpierroz) - [Bernhard Wagner](https://github.com/bwagner) +- [Aaron Beaudoin](https://github.com/AaronBeaudoin) diff --git a/rich/_export_format.py b/rich/_export_format.py index 998a9b0de..e7527e52f 100644 --- a/rich/_export_format.py +++ b/rich/_export_format.py @@ -12,7 +12,7 @@ </style> </head> <body> - <pre style="font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace"><code>{code}</code></pre> + <pre style="font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace"><code style="font-family:inherit">{code}</code></pre> </body> </html> """ diff --git a/tests/test_console.py b/tests/test_console.py index a3b73793c..36d15df00 100644 --- a/tests/test_console.py +++ b/tests/test_console.py @@ -529,7 +529,7 @@ def test_export_html(): console.print("[b]foo <script> 'test' [link=https://example.org]Click[/link]") html = console.export_html() print(repr(html)) - expected = '<!DOCTYPE html>\n<html>\n<head>\n<meta charset="UTF-8">\n<style>\n.r1 {font-weight: bold}\n.r2 {color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold}\n.r3 {color: #008000; text-decoration-color: #008000; font-weight: bold}\nbody {\n color: #000000;\n background-color: #ffffff;\n}\n</style>\n</head>\n<body>\n <pre style="font-family:Menlo,\'DejaVu Sans Mono\',consolas,\'Courier New\',monospace"><code><span class="r1">foo &lt;</span><span class="r2">script</span><span class="r1">&gt; </span><span class="r3">&#x27;test&#x27;</span><span class="r1"> </span><a class="r1" href="https://example.org">Click</a>\n</code></pre>\n</body>\n</html>\n' + expected = '<!DOCTYPE html>\n<html>\n<head>\n<meta charset="UTF-8">\n<style>\n.r1 {font-weight: bold}\n.r2 {color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold}\n.r3 {color: #008000; text-decoration-color: #008000; font-weight: bold}\nbody {\n color: #000000;\n background-color: #ffffff;\n}\n</style>\n</head>\n<body>\n <pre style="font-family:Menlo,\'DejaVu Sans Mono\',consolas,\'Courier New\',monospace"><code style="font-family:inherit"><span class="r1">foo &lt;</span><span class="r2">script</span><span class="r1">&gt; </span><span class="r3">&#x27;test&#x27;</span><span class="r1"> </span><a class="r1" href="https://example.org">Click</a>\n</code></pre>\n</body>\n</html>\n' assert html == expected @@ -538,7 +538,7 @@ def test_export_html_inline(): console.print("[b]foo [link=https://example.org]Click[/link]") html = console.export_html(inline_styles=True) print(repr(html)) - expected = '<!DOCTYPE html>\n<html>\n<head>\n<meta charset="UTF-8">\n<style>\n\nbody {\n color: #000000;\n background-color: #ffffff;\n}\n</style>\n</head>\n<body>\n <pre style="font-family:Menlo,\'DejaVu Sans Mono\',consolas,\'Courier New\',monospace"><code><span style="font-weight: bold">foo </span><span style="font-weight: bold"><a href="https://example.org">Click</a></span>\n</code></pre>\n</body>\n</html>\n' + expected = '<!DOCTYPE html>\n<html>\n<head>\n<meta charset="UTF-8">\n<style>\n\nbody {\n color: #000000;\n background-color: #ffffff;\n}\n</style>\n</head>\n<body>\n <pre style="font-family:Menlo,\'DejaVu Sans Mono\',consolas,\'Courier New\',monospace"><code style="font-family:inherit"><span style="font-weight: bold">foo </span><span style="font-weight: bold"><a href="https://example.org">Click</a></span>\n</code></pre>\n</body>\n</html>\n' assert html == expected @@ -591,7 +591,7 @@ def test_save_text(): def test_save_html(): - expected = "<!DOCTYPE html>\n<html>\n<head>\n<meta charset=\"UTF-8\">\n<style>\n\nbody {\n color: #000000;\n background-color: #ffffff;\n}\n</style>\n</head>\n<body>\n <pre style=\"font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><code>foo\n</code></pre>\n</body>\n</html>\n" + expected = '<!DOCTYPE html>\n<html>\n<head>\n<meta charset="UTF-8">\n<style>\n\nbody {\n color: #000000;\n background-color: #ffffff;\n}\n</style>\n</head>\n<body>\n <pre style="font-family:Menlo,\'DejaVu Sans Mono\',consolas,\'Courier New\',monospace"><code style="font-family:inherit">foo\n</code></pre>\n</body>\n</html>\n' console = Console(record=True, width=100) console.print("foo") with tempfile.TemporaryDirectory() as path:
[BUG] `font-family` ignored in `html_export` due to user agent stylesheet for `<code>` - [X] I've checked [docs](https://rich.readthedocs.io/en/latest/introduction.html) and [closed issues](https://github.com/Textualize/rich/issues?q=is%3Aissue+is%3Aclosed) for possible solutions. - [X] I can't find my issue in the [FAQ](https://github.com/Textualize/rich/blob/master/FAQ.md). **Describe the bug** Run this code: ```py import rich.console try: test = 1 raise Exception() except Exception: console = rich.console.Console(record=True) console.print_exception(show_locals=True) html = console.export_html(inline_styles=True) with open("test.html", "w") as html_file: html_file.write(html) ``` You will get an `test.html` output file. Open it in Chrome. I'm on macOS, and it shows up like this: ![image](https://github.com/Textualize/rich/assets/26592486/4b124132-b7a9-4156-bfd9-8912c65f2764) Notice the lines are not aligned properly on the right side. Here is why: ![image](https://github.com/Textualize/rich/assets/26592486/8d6e13e6-2124-46e2-972d-1d4a31256615) As you can see, Chrome's user agent stylesheet causes the `<code>` element to reset the `font-family` on the `<pre>` element back to `monospace`. All we need is to have Rich add a `font-family: inherit;` on the `<code>` element and everything is fine: ![image](https://github.com/Textualize/rich/assets/26592486/ed1c2e6e-7d89-4d39-8301-cc92679458d9) **Platform** <details> <summary>Click to expand</summary> What platform (Win/Linux/Mac) are you running on? What terminal software are you using? Mac with Chrome ``` ❯ python -m rich.diagnose ╭───────────────────────── <class 'rich.console.Console'> ─────────────────────────╮ │ A high level console interface. │ │ │ │ ╭──────────────────────────────────────────────────────────────────────────────╮ │ │ │ <console width=148 ColorSystem.TRUECOLOR> │ │ │ ╰──────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ color_system = 'truecolor' │ │ encoding = 'utf-8' │ │ file = <_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'> │ │ height = 87 │ │ is_alt_screen = False │ │ is_dumb_terminal = False │ │ is_interactive = True │ │ is_jupyter = False │ │ is_terminal = True │ │ legacy_windows = False │ │ no_color = False │ │ options = ConsoleOptions( │ │ size=ConsoleDimensions(width=148, height=87), │ │ legacy_windows=False, │ │ min_width=1, │ │ max_width=148, │ │ is_terminal=True, │ │ encoding='utf-8', │ │ max_height=87, │ │ justify=None, │ │ overflow=None, │ │ no_wrap=False, │ │ highlight=None, │ │ markup=None, │ │ height=None │ │ ) │ │ quiet = False │ │ record = False │ │ safe_box = True │ │ size = ConsoleDimensions(width=148, height=87) │ │ soft_wrap = False │ │ stderr = False │ │ style = None │ │ tab_size = 8 │ │ width = 148 │ ╰──────────────────────────────────────────────────────────────────────────────────╯ ╭─── <class 'rich._windows.WindowsConsoleFeatures'> ────╮ │ Windows features available. │ │ │ │ ╭───────────────────────────────────────────────────╮ │ │ │ WindowsConsoleFeatures(vt=False, truecolor=False) │ │ │ ╰───────────────────────────────────────────────────╯ │ │ │ │ truecolor = False │ │ vt = False │ ╰───────────────────────────────────────────────────────╯ ╭────── Environment Variables ───────╮ │ { │ │ 'TERM': 'xterm-256color', │ │ 'COLORTERM': 'truecolor', │ │ 'CLICOLOR': None, │ │ 'NO_COLOR': None, │ │ 'TERM_PROGRAM': 'vscode', │ │ 'COLUMNS': None, │ │ 'LINES': None, │ │ 'JUPYTER_COLUMNS': None, │ │ 'JUPYTER_LINES': None, │ │ 'JPY_PARENT_PID': None, │ │ 'VSCODE_VERBOSE_LOGGING': None │ │ } │ ╰────────────────────────────────────╯ platform="Darwin" ❯ python -m pip freeze | grep rich rich==13.4.2 ``` </details>
getsentry__sentry-540
[ { "content": "#!/usr/bin/env python\n\"\"\"\nSentry\n======\n\nSentry is a realtime event logging and aggregation platform. It specializes\nin monitoring errors and extracting all the information needed to do a proper\npost-mortem without any of the hassle of the standard user feedback loop.\n\nSentry is a Server\n------------------\n\nThe Sentry package, at its core, is just a simple server and web UI. It will\nhandle authentication clients (such as `Raven <https://github.com/dcramer/raven>`_)\nand all of the logic behind storage and aggregation.\n\nThat said, Sentry is not limited to Python. The primary implementation is in\nPython, but it contains a full API for sending events from any language, in\nany application.\n\n:copyright: (c) 2011-2012 by the Sentry Team, see AUTHORS for more details.\n:license: BSD, see LICENSE for more details.\n\"\"\"\n\nfrom setuptools import setup, find_packages\n\n# Hack to prevent stupid \"TypeError: 'NoneType' object is not callable\" error\n# in multiprocessing/util.py _exit_function when running `python\n# setup.py test` (see\n# http://www.eby-sarna.com/pipermail/peak/2010-May/003357.html)\ntry:\n import multiprocessing\nexcept ImportError:\n pass\n\ntests_require = [\n 'django-nose==1.1',\n 'eventlet==0.9.16',\n 'nose==1.1.2',\n 'nydus==0.8.2',\n 'mock==0.8.0',\n 'pyflakes',\n 'pep8',\n 'redis',\n 'unittest2',\n]\n\n\ninstall_requires = [\n 'cssutils>=0.9.9',\n 'BeautifulSoup>=3.2.1',\n 'django-celery>=2.5.5,<3.0',\n 'django-crispy-forms>=1.1.4',\n 'Django>=1.2,<1.5',\n 'django-indexer>=0.3.0',\n 'django-paging>=0.2.4',\n 'django-picklefield>=0.2.0',\n 'django-templatetag-sugar>=0.1.0',\n 'gunicorn>=0.13.4',\n 'logan>=0.3.1',\n 'pynliner>=0.4.0',\n 'python-dateutil>=1.5.0,<2.0.0',\n 'pytz>=2011n',\n 'raven>=2.0.0',\n 'simplejson>=2.3.0,<2.5.0',\n 'South>=0.7',\n 'httpagentparser>=1.0.5'\n]\n\ndependency_links = [\n 'https://github.com/dcramer/pyflakes/tarball/master#egg=pyflakes',\n]\n\nsetup(\n name='sentry',\n version='4.8.1',\n author='David Cramer',\n author_email='[email protected]',\n url='http://github.com/dcramer/sentry',\n description='A realtime logging and aggregation server.',\n long_description=__doc__,\n packages=find_packages(exclude=['tests']),\n zip_safe=False,\n install_requires=install_requires,\n tests_require=tests_require,\n extras_require={'test': tests_require},\n dependency_links=dependency_links,\n test_suite='runtests.runtests',\n license='BSD',\n include_package_data=True,\n entry_points={\n 'console_scripts': [\n 'sentry = sentry.utils.runner:main',\n ],\n },\n classifiers=[\n 'Framework :: Django',\n 'Intended Audience :: Developers',\n 'Intended Audience :: System Administrators',\n 'Operating System :: OS Independent',\n 'Topic :: Software Development'\n ],\n)\n", "path": "setup.py" } ]
[ { "content": "#!/usr/bin/env python\n\"\"\"\nSentry\n======\n\nSentry is a realtime event logging and aggregation platform. It specializes\nin monitoring errors and extracting all the information needed to do a proper\npost-mortem without any of the hassle of the standard user feedback loop.\n\nSentry is a Server\n------------------\n\nThe Sentry package, at its core, is just a simple server and web UI. It will\nhandle authentication clients (such as `Raven <https://github.com/dcramer/raven>`_)\nand all of the logic behind storage and aggregation.\n\nThat said, Sentry is not limited to Python. The primary implementation is in\nPython, but it contains a full API for sending events from any language, in\nany application.\n\n:copyright: (c) 2011-2012 by the Sentry Team, see AUTHORS for more details.\n:license: BSD, see LICENSE for more details.\n\"\"\"\n\nfrom setuptools import setup, find_packages\n\n# Hack to prevent stupid \"TypeError: 'NoneType' object is not callable\" error\n# in multiprocessing/util.py _exit_function when running `python\n# setup.py test` (see\n# http://www.eby-sarna.com/pipermail/peak/2010-May/003357.html)\ntry:\n import multiprocessing\nexcept ImportError:\n pass\n\ntests_require = [\n 'django-nose==1.1',\n 'eventlet==0.9.16',\n 'nose==1.1.2',\n 'nydus==0.8.2',\n 'mock==0.8.0',\n 'pyflakes',\n 'pep8',\n 'redis',\n 'unittest2',\n]\n\n\ninstall_requires = [\n 'cssutils>=0.9.9',\n 'BeautifulSoup>=3.2.1',\n 'django-celery>=2.5.5,<3.0',\n 'celery>=2.5.3,<3.0',\n 'django-crispy-forms>=1.1.4',\n 'Django>=1.2,<1.5',\n 'django-indexer>=0.3.0',\n 'django-paging>=0.2.4',\n 'django-picklefield>=0.2.0',\n 'django-templatetag-sugar>=0.1.0',\n 'gunicorn>=0.13.4',\n 'logan>=0.3.1',\n 'pynliner>=0.4.0',\n 'python-dateutil>=1.5.0,<2.0.0',\n 'pytz>=2011n',\n 'raven>=2.0.0',\n 'simplejson>=2.3.0,<2.5.0',\n 'South>=0.7',\n 'httpagentparser>=1.0.5'\n]\n\ndependency_links = [\n 'https://github.com/dcramer/pyflakes/tarball/master#egg=pyflakes',\n]\n\nsetup(\n name='sentry',\n version='4.8.1',\n author='David Cramer',\n author_email='[email protected]',\n url='http://github.com/dcramer/sentry',\n description='A realtime logging and aggregation server.',\n long_description=__doc__,\n packages=find_packages(exclude=['tests']),\n zip_safe=False,\n install_requires=install_requires,\n tests_require=tests_require,\n extras_require={'test': tests_require},\n dependency_links=dependency_links,\n test_suite='runtests.runtests',\n license='BSD',\n include_package_data=True,\n entry_points={\n 'console_scripts': [\n 'sentry = sentry.utils.runner:main',\n ],\n },\n classifiers=[\n 'Framework :: Django',\n 'Intended Audience :: Developers',\n 'Intended Audience :: System Administrators',\n 'Operating System :: OS Independent',\n 'Topic :: Software Development'\n ],\n)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index 0d6590e1f79f66..446fa24c657cd3 100755 --- a/setup.py +++ b/setup.py @@ -50,6 +50,7 @@ 'cssutils>=0.9.9', 'BeautifulSoup>=3.2.1', 'django-celery>=2.5.5,<3.0', + 'celery>=2.5.3,<3.0', 'django-crispy-forms>=1.1.4', 'Django>=1.2,<1.5', 'django-indexer>=0.3.0',
celery 3.0 causes import error (cannot import abbrtools from celery.utils) Release of celery 3.0 causes an import error at runtime upon any request. This is the stack trace: ``` ImportError: cannot import name abbrtask Error handling request Traceback (most recent call last): File "/Users/guzru/dev/django14/lib/python2.7/site-packages/gunicorn/workers/sync.py", line 107, in handle_request for item in respiter: File "/Users/guzru/dev/django14/lib/python2.7/site-packages/raven/middleware.py", line 28, in __call__ for event in self.application(environ, start_response): File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/core/handlers/wsgi.py", line 241, in __call__ response = self.get_response(request) File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/core/handlers/base.py", line 179, in get_response response = self.handle_uncaught_exception(request, resolver, sys.exc_info()) File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/core/handlers/base.py", line 224, in handle_uncaught_exception if resolver.urlconf_module is None: File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/core/urlresolvers.py", line 323, in urlconf_module self._urlconf_module = import_module(self.urlconf_name) File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/utils/importlib.py", line 35, in import_module __import__(name) File "/Users/guzru/dev/django14/lib/python2.7/site-packages/sentry/conf/urls.py", line 19, in <module> admin.autodiscover() File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/contrib/admin/__init__.py", line 29, in autodiscover import_module('%s.admin' % app) File "/Users/guzru/dev/django14/lib/python2.7/site-packages/django/utils/importlib.py", line 35, in import_module __import__(name) File "/Users/guzru/dev/django14/lib/python2.7/site-packages/djcelery/admin.py", line 19, in <module> from celery.utils import abbrtask ImportError: cannot import name abbrtask ``` Requirements line for celery should become: celery>=2.5.3,<3.0.0
scikit-hep__pyhf-1615
[ { "content": "#\n# pyhf documentation build configuration file, created by\n# sphinx-quickstart on Fri Feb 9 11:58:49 2018.\n#\n# This file is execfile()d with the current directory set to its\n# containing dir.\n#\n# Note that not all possible configuration values are present in this\n# autogenerated file.\n#\n# All configuration values have a default; values that are commented out\n# serve to show the default.\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use Path('../relative_path_to_dir').resolve() to make it absolute, like shown here.\n\nfrom pathlib import Path\nimport sys\nfrom pkg_resources import get_distribution\n\nsys.path.insert(0, str(Path('./exts').resolve()))\n\n\ndef setup(app):\n app.add_css_file(\n 'https://cdnjs.cloudflare.com/ajax/libs/github-fork-ribbon-css/0.2.2/gh-fork-ribbon.min.css'\n )\n\n\n# -- General configuration ------------------------------------------------\n\n# If your documentation needs a minimal Sphinx version, state it here.\n#\n# needs_sphinx = '1.0'\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n 'sphinx.ext.autodoc',\n 'sphinx.ext.autosummary',\n 'sphinx.ext.coverage',\n 'sphinx.ext.mathjax',\n 'sphinx.ext.ifconfig',\n 'sphinx.ext.viewcode',\n 'sphinx.ext.githubpages',\n 'sphinx.ext.intersphinx',\n 'sphinxcontrib.bibtex',\n 'sphinx.ext.napoleon',\n 'sphinx_click.ext',\n 'nbsphinx',\n 'sphinx_issues',\n 'sphinx_copybutton',\n 'xref',\n]\nbibtex_bibfiles = [\n \"bib/docs.bib\",\n \"bib/HEPData_likelihoods.bib\",\n \"bib/media.bib\",\n \"bib/posters.bib\",\n \"bib/preferred.bib\",\n \"bib/talks.bib\",\n \"bib/tutorials.bib\",\n \"bib/use_citations.bib\",\n \"bib/general_citations.bib\",\n]\n\n# external links\nxref_links = {\"arXiv:1007.1727\": (\"[1007.1727]\", \"https://arxiv.org/abs/1007.1727\")}\n\nintersphinx_mapping = {\n 'python': ('https://docs.python.org/3', None),\n 'numpy': ('https://numpy.org/doc/stable/', None),\n 'scipy': ('https://docs.scipy.org/doc/scipy/reference/', None),\n 'matplotlib': ('https://matplotlib.org/stable/', None),\n 'iminuit': ('https://iminuit.readthedocs.io/en/stable/', None),\n 'uproot': ('https://uproot.readthedocs.io/en/latest/', None),\n}\n\n# GitHub repo\nissues_github_path = 'scikit-hep/pyhf'\n\n# Generate the API documentation when building\nautosummary_generate = True\nnumpydoc_show_class_members = False\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = ['_templates']\n\n# The suffix(es) of source filenames.\n# You can specify multiple suffix as a list of string:\n#\nsource_suffix = ['.rst', '.md']\n# source_suffix = '.rst'\n\n# The encoding of source files.\n#\n# source_encoding = 'utf-8-sig'\n\n# The master toctree document.\nmaster_doc = 'index'\n\n# General information about the project.\nproject = 'pyhf'\ncopyright = '2018, Lukas Heinrich, Matthew Feickert, Giordon Stark'\nauthor = 'Lukas Heinrich, Matthew Feickert, Giordon Stark'\n\n# The version info for the project you're documenting, acts as replacement for\n# |version| and |release|, also used in various other places throughout the\n# built documents.\n# The full version, including alpha/beta/rc tags.\nrelease = get_distribution('pyhf').version\n# for example take major/minor/patch\nversion = '.'.join(release.split('.')[:3])\n\n# The language for content autogenerated by Sphinx. Refer to documentation\n# for a list of supported languages.\n#\n# This is also used if you do content translation via gettext catalogs.\n# Usually you set \"language\" from the command line for these cases.\nlanguage = None\n\n# There are two options for replacing |today|: either, you set today to some\n# non-false value, then it is used:\n#\n# today = ''\n#\n# Else, today_fmt is used as the format for a strftime call.\n#\n# today_fmt = '%B %d, %Y'\n\nautodoc_mock_imports = [\n 'tensorflow',\n 'torch',\n 'jax',\n 'iminuit',\n 'tensorflow_probability',\n]\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This patterns also effect to html_static_path and html_extra_path\nexclude_patterns = [\n '_build',\n 'JOSS',\n '**.ipynb_checkpoints',\n 'examples/experiments/edwardpyhf.ipynb',\n 'examples/notebooks/ImpactPlot.ipynb',\n 'examples/notebooks/Recast.ipynb',\n 'examples/notebooks/StatError.ipynb',\n 'examples/notebooks/example-tensorflow.ipynb',\n 'examples/notebooks/histogrammar.ipynb',\n 'examples/notebooks/histosys.ipynb',\n 'examples/notebooks/histosys-pytorch.ipynb',\n 'examples/notebooks/importxml.ipynb',\n 'examples/notebooks/multichannel-coupled-normsys.ipynb',\n 'examples/notebooks/multichannel-normsys.ipynb',\n 'examples/notebooks/normsys.ipynb',\n 'examples/notebooks/pullplot.ipynb',\n 'examples/notebooks/pytorch_tests_onoff.ipynb',\n 'examples/notebooks/tensorflow-limit.ipynb',\n]\n\n# The reST default role (used for this markup: `text`) to use for all\n# documents.\n#\n# default_role = None\n\n# If true, '()' will be appended to :func: etc. cross-reference text.\n#\n# add_function_parentheses = True\n\n# If true, the current module name will be prepended to all description\n# unit titles (such as .. function::).\n#\n# add_module_names = True\n\n# If true, sectionauthor and moduleauthor directives will be shown in the\n# output. They are ignored by default.\n#\n# show_authors = False\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = 'sphinx'\n\n# A list of ignored prefixes for module index sorting.\n# modindex_common_prefix = []\n\n# If true, keep warnings as \"system message\" paragraphs in the built documents.\n# keep_warnings = False\n\n# If true, `todo` and `todoList` produce output, else they produce nothing.\ntodo_include_todos = False\n\n\n# -- Options for HTML output ----------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = 'sphinx_rtd_theme'\n\n# Theme options are theme-specific and customize the look and feel of a theme\n# further. For a list of options available for each theme, see the\n# documentation.\n#\nhtml_theme_options = {}\n\n# Add any paths that contain custom themes here, relative to this directory.\nhtml_theme_path = []\n\n# The name for this set of Sphinx documents.\n# \"<project> v<release> documentation\" by default.\n#\n# html_title = u'pyhf v0.3.0'\n\n# A shorter title for the navigation bar. Default is the same as html_title.\n#\n# html_short_title = None\n\n# The name of an image file (relative to this directory) to place at the top\n# of the sidebar.\n#\n# html_logo = None\n\n# The name of an image file (relative to this directory) to use as a favicon of\n# the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32\n# pixels large.\n#\n# html_favicon = None\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = ['_static']\n\nhtml_css_files = [\n 'css/custom.css',\n]\n\nhtml_js_files = [\n 'js/custom.js',\n]\n\n# Add any extra paths that contain custom files (such as robots.txt or\n# .htaccess) here, relative to this directory. These files are copied\n# directly to the root of the documentation.\n#\nhtml_extra_path = ['_extras']\n\n# If not None, a 'Last updated on:' timestamp is inserted at every page\n# bottom, using the given strftime format.\n# The empty string is equivalent to '%b %d, %Y'.\n#\n# html_last_updated_fmt = None\n\n# If true, SmartyPants will be used to convert quotes and dashes to\n# typographically correct entities.\n#\n# html_use_smartypants = True\n\n# Custom sidebar templates, maps document names to template names.\n#\n# html_sidebars = {}\n\n# Additional templates that should be rendered to pages, maps page names to\n# template names.\n#\n# html_additional_pages = {}\n\n# If false, no module index is generated.\n#\n# html_domain_indices = True\n\n# If false, no index is generated.\n#\n# html_use_index = True\n\n# If true, the index is split into individual pages for each letter.\n#\n# html_split_index = False\n\n# If true, links to the reST sources are added to the pages.\n#\n# html_show_sourcelink = True\n\n# If true, \"Created using Sphinx\" is shown in the HTML footer. Default is True.\n#\n# html_show_sphinx = True\n\n# If true, \"(C) Copyright ...\" is shown in the HTML footer. Default is True.\n#\n# html_show_copyright = True\n\n# If true, an OpenSearch description file will be output, and all pages will\n# contain a <link> tag referring to it. The value of this option must be the\n# base URL from which the finished HTML is served.\n#\n# html_use_opensearch = ''\n\n# This is the file name suffix for HTML files (e.g. \".xhtml\").\n# html_file_suffix = None\n\n# Language to be used for generating the HTML full-text search index.\n# Sphinx supports the following languages:\n# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'\n# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr', 'zh'\n#\n# html_search_language = 'en'\n\n# A dictionary with options for the search language support, empty by default.\n# 'ja' uses this config value.\n# 'zh' user can custom change `jieba` dictionary path.\n#\n# html_search_options = {'type': 'default'}\n\n# The name of a javascript file (relative to the configuration directory) that\n# implements a search results scorer. If empty, the default will be used.\n#\n# html_search_scorer = 'scorer.js'\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = 'pyhfdoc'\n\n# sphinx-copybutton configuration\ncopybutton_prompt_text = \">>> \"\n\n# -- Options for LaTeX output ---------------------------------------------\n\nlatex_elements = {\n # The paper size ('letterpaper' or 'a4paper').\n #\n # 'papersize': 'letterpaper',\n # The font size ('10pt', '11pt' or '12pt').\n #\n # 'pointsize': '10pt',\n # Additional stuff for the LaTeX preamble.\n #\n # 'preamble': '',\n # Latex figure (float) alignment\n #\n # 'figure_align': 'htbp',\n}\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title,\n# author, documentclass [howto, manual, or own class]).\nlatex_documents = [\n (\n master_doc,\n 'pyhf.tex',\n 'pyhf Documentation',\n 'Lukas Heinrich, Matthew Feickert, Giordon Stark',\n 'manual',\n )\n]\n\n# The name of an image file (relative to this directory) to place at the top of\n# the title page.\n#\n# latex_logo = None\n\n# For \"manual\" documents, if this is true, then toplevel headings are parts,\n# not chapters.\n#\n# latex_use_parts = False\n\n# If true, show page references after internal links.\n#\n# latex_show_pagerefs = False\n\n# If true, show URL addresses after external links.\n#\n# latex_show_urls = False\n\n# Documents to append as an appendix to all manuals.\n#\n# latex_appendices = []\n\n# It false, will not define \\strong, \\code, \titleref, \\crossref ... but only\n# \\sphinxstrong, ..., \\sphinxtitleref, ... To help avoid clash with user added\n# packages.\n#\n# latex_keep_old_macro_names = True\n\n# If false, no module index is generated.\n#\n# latex_domain_indices = True\n\n\n# -- Options for manual page output ---------------------------------------\n\n# One entry per manual page. List of tuples\n# (source start file, name, description, authors, manual section).\nman_pages = [(master_doc, 'pyhf', 'pyhf Documentation', [author], 1)]\n\n# If true, show URL addresses after external links.\n#\n# man_show_urls = False\n\n\n# -- Options for Texinfo output -------------------------------------------\n\n# Grouping the document tree into Texinfo files. List of tuples\n# (source start file, target name, title, author,\n# dir menu entry, description, category)\ntexinfo_documents = [\n (\n master_doc,\n 'pyhf',\n 'pyhf Documentation',\n author,\n 'pyhf',\n 'One line description of project.',\n 'Miscellaneous',\n )\n]\n\n# Documents to append as an appendix to all manuals.\n#\n# texinfo_appendices = []\n\n# If false, no module index is generated.\n#\n# texinfo_domain_indices = True\n\n# How to display URL addresses: 'footnote', 'no', or 'inline'.\n#\n# texinfo_show_urls = 'footnote'\n\n# If true, do not generate a @detailmenu in the \"Top\" node's menu.\n#\n# texinfo_no_detailmenu = False\n\nmathjax3_config = {\n 'tex2jax': {'inlineMath': [['$', '$'], ['\\\\(', '\\\\)']]},\n 'tex': {\n 'macros': {\n 'bm': [\"\\\\boldsymbol{#1}\", 1], # \\usepackage{bm}, see mathjax/MathJax#1219\n 'HiFa': r'\\texttt{HistFactory}',\n 'Root': r'\\texttt{ROOT}',\n 'RooStats': r'\\texttt{RooStats}',\n 'RooFit': r'\\texttt{RooFit}',\n 'pyhf': r'\\texttt{pyhf}',\n 'CLs': r'\\mathrm{CL}_{s}',\n 'freeset': r'\\bm{\\eta}',\n 'constrset': r'\\bm{\\chi}',\n 'singleconstr': r'\\chi',\n 'channelcounts': r'\\bm{n}',\n 'auxdata': r'\\bm{a}',\n 'poiset': r'\\bm{\\psi}',\n 'nuisset': r'\\bm{\\theta}',\n 'fullset': r'\\bm{\\phi}',\n 'singlefull': r'\\phi',\n 'TeV': r'\\textrm{TeV}',\n }\n },\n}\n", "path": "docs/conf.py" } ]
[ { "content": "#\n# pyhf documentation build configuration file, created by\n# sphinx-quickstart on Fri Feb 9 11:58:49 2018.\n#\n# This file is execfile()d with the current directory set to its\n# containing dir.\n#\n# Note that not all possible configuration values are present in this\n# autogenerated file.\n#\n# All configuration values have a default; values that are commented out\n# serve to show the default.\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use Path('../relative_path_to_dir').resolve() to make it absolute, like shown here.\n\nfrom pathlib import Path\nimport sys\nfrom pkg_resources import get_distribution\n\nsys.path.insert(0, str(Path('./exts').resolve()))\n\n\ndef setup(app):\n app.add_css_file(\n 'https://cdnjs.cloudflare.com/ajax/libs/github-fork-ribbon-css/0.2.2/gh-fork-ribbon.min.css'\n )\n\n\n# -- General configuration ------------------------------------------------\n\n# If your documentation needs a minimal Sphinx version, state it here.\n#\n# needs_sphinx = '1.0'\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n 'sphinx.ext.autodoc',\n 'sphinx.ext.autosummary',\n 'sphinx.ext.coverage',\n 'sphinx.ext.mathjax',\n 'sphinx.ext.ifconfig',\n 'sphinx.ext.viewcode',\n 'sphinx.ext.githubpages',\n 'sphinx.ext.intersphinx',\n 'sphinxcontrib.bibtex',\n 'sphinx.ext.napoleon',\n 'sphinx_click.ext',\n 'nbsphinx',\n 'sphinx_issues',\n 'sphinx_copybutton',\n 'xref',\n]\nbibtex_bibfiles = [\n \"bib/docs.bib\",\n \"bib/HEPData_likelihoods.bib\",\n \"bib/media.bib\",\n \"bib/posters.bib\",\n \"bib/preferred.bib\",\n \"bib/talks.bib\",\n \"bib/tutorials.bib\",\n \"bib/use_citations.bib\",\n \"bib/general_citations.bib\",\n]\nbibtex_default_style = \"unsrt\"\n\n# external links\nxref_links = {\"arXiv:1007.1727\": (\"[1007.1727]\", \"https://arxiv.org/abs/1007.1727\")}\n\nintersphinx_mapping = {\n 'python': ('https://docs.python.org/3', None),\n 'numpy': ('https://numpy.org/doc/stable/', None),\n 'scipy': ('https://docs.scipy.org/doc/scipy/reference/', None),\n 'matplotlib': ('https://matplotlib.org/stable/', None),\n 'iminuit': ('https://iminuit.readthedocs.io/en/stable/', None),\n 'uproot': ('https://uproot.readthedocs.io/en/latest/', None),\n}\n\n# GitHub repo\nissues_github_path = 'scikit-hep/pyhf'\n\n# Generate the API documentation when building\nautosummary_generate = True\nnumpydoc_show_class_members = False\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = ['_templates']\n\n# The suffix(es) of source filenames.\n# You can specify multiple suffix as a list of string:\n#\nsource_suffix = ['.rst', '.md']\n# source_suffix = '.rst'\n\n# The encoding of source files.\n#\n# source_encoding = 'utf-8-sig'\n\n# The master toctree document.\nmaster_doc = 'index'\n\n# General information about the project.\nproject = 'pyhf'\ncopyright = '2018, Lukas Heinrich, Matthew Feickert, Giordon Stark'\nauthor = 'Lukas Heinrich, Matthew Feickert, Giordon Stark'\n\n# The version info for the project you're documenting, acts as replacement for\n# |version| and |release|, also used in various other places throughout the\n# built documents.\n# The full version, including alpha/beta/rc tags.\nrelease = get_distribution('pyhf').version\n# for example take major/minor/patch\nversion = '.'.join(release.split('.')[:3])\n\n# The language for content autogenerated by Sphinx. Refer to documentation\n# for a list of supported languages.\n#\n# This is also used if you do content translation via gettext catalogs.\n# Usually you set \"language\" from the command line for these cases.\nlanguage = None\n\n# There are two options for replacing |today|: either, you set today to some\n# non-false value, then it is used:\n#\n# today = ''\n#\n# Else, today_fmt is used as the format for a strftime call.\n#\n# today_fmt = '%B %d, %Y'\n\nautodoc_mock_imports = [\n 'tensorflow',\n 'torch',\n 'jax',\n 'iminuit',\n 'tensorflow_probability',\n]\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This patterns also effect to html_static_path and html_extra_path\nexclude_patterns = [\n '_build',\n 'JOSS',\n '**.ipynb_checkpoints',\n 'examples/experiments/edwardpyhf.ipynb',\n 'examples/notebooks/ImpactPlot.ipynb',\n 'examples/notebooks/Recast.ipynb',\n 'examples/notebooks/StatError.ipynb',\n 'examples/notebooks/example-tensorflow.ipynb',\n 'examples/notebooks/histogrammar.ipynb',\n 'examples/notebooks/histosys.ipynb',\n 'examples/notebooks/histosys-pytorch.ipynb',\n 'examples/notebooks/importxml.ipynb',\n 'examples/notebooks/multichannel-coupled-normsys.ipynb',\n 'examples/notebooks/multichannel-normsys.ipynb',\n 'examples/notebooks/normsys.ipynb',\n 'examples/notebooks/pullplot.ipynb',\n 'examples/notebooks/pytorch_tests_onoff.ipynb',\n 'examples/notebooks/tensorflow-limit.ipynb',\n]\n\n# The reST default role (used for this markup: `text`) to use for all\n# documents.\n#\n# default_role = None\n\n# If true, '()' will be appended to :func: etc. cross-reference text.\n#\n# add_function_parentheses = True\n\n# If true, the current module name will be prepended to all description\n# unit titles (such as .. function::).\n#\n# add_module_names = True\n\n# If true, sectionauthor and moduleauthor directives will be shown in the\n# output. They are ignored by default.\n#\n# show_authors = False\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = 'sphinx'\n\n# A list of ignored prefixes for module index sorting.\n# modindex_common_prefix = []\n\n# If true, keep warnings as \"system message\" paragraphs in the built documents.\n# keep_warnings = False\n\n# If true, `todo` and `todoList` produce output, else they produce nothing.\ntodo_include_todos = False\n\n\n# -- Options for HTML output ----------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = 'sphinx_rtd_theme'\n\n# Theme options are theme-specific and customize the look and feel of a theme\n# further. For a list of options available for each theme, see the\n# documentation.\n#\nhtml_theme_options = {}\n\n# Add any paths that contain custom themes here, relative to this directory.\nhtml_theme_path = []\n\n# The name for this set of Sphinx documents.\n# \"<project> v<release> documentation\" by default.\n#\n# html_title = u'pyhf v0.3.0'\n\n# A shorter title for the navigation bar. Default is the same as html_title.\n#\n# html_short_title = None\n\n# The name of an image file (relative to this directory) to place at the top\n# of the sidebar.\n#\n# html_logo = None\n\n# The name of an image file (relative to this directory) to use as a favicon of\n# the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32\n# pixels large.\n#\n# html_favicon = None\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = ['_static']\n\nhtml_css_files = [\n 'css/custom.css',\n]\n\nhtml_js_files = [\n 'js/custom.js',\n]\n\n# Add any extra paths that contain custom files (such as robots.txt or\n# .htaccess) here, relative to this directory. These files are copied\n# directly to the root of the documentation.\n#\nhtml_extra_path = ['_extras']\n\n# If not None, a 'Last updated on:' timestamp is inserted at every page\n# bottom, using the given strftime format.\n# The empty string is equivalent to '%b %d, %Y'.\n#\n# html_last_updated_fmt = None\n\n# If true, SmartyPants will be used to convert quotes and dashes to\n# typographically correct entities.\n#\n# html_use_smartypants = True\n\n# Custom sidebar templates, maps document names to template names.\n#\n# html_sidebars = {}\n\n# Additional templates that should be rendered to pages, maps page names to\n# template names.\n#\n# html_additional_pages = {}\n\n# If false, no module index is generated.\n#\n# html_domain_indices = True\n\n# If false, no index is generated.\n#\n# html_use_index = True\n\n# If true, the index is split into individual pages for each letter.\n#\n# html_split_index = False\n\n# If true, links to the reST sources are added to the pages.\n#\n# html_show_sourcelink = True\n\n# If true, \"Created using Sphinx\" is shown in the HTML footer. Default is True.\n#\n# html_show_sphinx = True\n\n# If true, \"(C) Copyright ...\" is shown in the HTML footer. Default is True.\n#\n# html_show_copyright = True\n\n# If true, an OpenSearch description file will be output, and all pages will\n# contain a <link> tag referring to it. The value of this option must be the\n# base URL from which the finished HTML is served.\n#\n# html_use_opensearch = ''\n\n# This is the file name suffix for HTML files (e.g. \".xhtml\").\n# html_file_suffix = None\n\n# Language to be used for generating the HTML full-text search index.\n# Sphinx supports the following languages:\n# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'\n# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr', 'zh'\n#\n# html_search_language = 'en'\n\n# A dictionary with options for the search language support, empty by default.\n# 'ja' uses this config value.\n# 'zh' user can custom change `jieba` dictionary path.\n#\n# html_search_options = {'type': 'default'}\n\n# The name of a javascript file (relative to the configuration directory) that\n# implements a search results scorer. If empty, the default will be used.\n#\n# html_search_scorer = 'scorer.js'\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = 'pyhfdoc'\n\n# sphinx-copybutton configuration\ncopybutton_prompt_text = \">>> \"\n\n# -- Options for LaTeX output ---------------------------------------------\n\nlatex_elements = {\n # The paper size ('letterpaper' or 'a4paper').\n #\n # 'papersize': 'letterpaper',\n # The font size ('10pt', '11pt' or '12pt').\n #\n # 'pointsize': '10pt',\n # Additional stuff for the LaTeX preamble.\n #\n # 'preamble': '',\n # Latex figure (float) alignment\n #\n # 'figure_align': 'htbp',\n}\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title,\n# author, documentclass [howto, manual, or own class]).\nlatex_documents = [\n (\n master_doc,\n 'pyhf.tex',\n 'pyhf Documentation',\n 'Lukas Heinrich, Matthew Feickert, Giordon Stark',\n 'manual',\n )\n]\n\n# The name of an image file (relative to this directory) to place at the top of\n# the title page.\n#\n# latex_logo = None\n\n# For \"manual\" documents, if this is true, then toplevel headings are parts,\n# not chapters.\n#\n# latex_use_parts = False\n\n# If true, show page references after internal links.\n#\n# latex_show_pagerefs = False\n\n# If true, show URL addresses after external links.\n#\n# latex_show_urls = False\n\n# Documents to append as an appendix to all manuals.\n#\n# latex_appendices = []\n\n# It false, will not define \\strong, \\code, \titleref, \\crossref ... but only\n# \\sphinxstrong, ..., \\sphinxtitleref, ... To help avoid clash with user added\n# packages.\n#\n# latex_keep_old_macro_names = True\n\n# If false, no module index is generated.\n#\n# latex_domain_indices = True\n\n\n# -- Options for manual page output ---------------------------------------\n\n# One entry per manual page. List of tuples\n# (source start file, name, description, authors, manual section).\nman_pages = [(master_doc, 'pyhf', 'pyhf Documentation', [author], 1)]\n\n# If true, show URL addresses after external links.\n#\n# man_show_urls = False\n\n\n# -- Options for Texinfo output -------------------------------------------\n\n# Grouping the document tree into Texinfo files. List of tuples\n# (source start file, target name, title, author,\n# dir menu entry, description, category)\ntexinfo_documents = [\n (\n master_doc,\n 'pyhf',\n 'pyhf Documentation',\n author,\n 'pyhf',\n 'One line description of project.',\n 'Miscellaneous',\n )\n]\n\n# Documents to append as an appendix to all manuals.\n#\n# texinfo_appendices = []\n\n# If false, no module index is generated.\n#\n# texinfo_domain_indices = True\n\n# How to display URL addresses: 'footnote', 'no', or 'inline'.\n#\n# texinfo_show_urls = 'footnote'\n\n# If true, do not generate a @detailmenu in the \"Top\" node's menu.\n#\n# texinfo_no_detailmenu = False\n\nmathjax3_config = {\n 'tex2jax': {'inlineMath': [['$', '$'], ['\\\\(', '\\\\)']]},\n 'tex': {\n 'macros': {\n 'bm': [\"\\\\boldsymbol{#1}\", 1], # \\usepackage{bm}, see mathjax/MathJax#1219\n 'HiFa': r'\\texttt{HistFactory}',\n 'Root': r'\\texttt{ROOT}',\n 'RooStats': r'\\texttt{RooStats}',\n 'RooFit': r'\\texttt{RooFit}',\n 'pyhf': r'\\texttt{pyhf}',\n 'CLs': r'\\mathrm{CL}_{s}',\n 'freeset': r'\\bm{\\eta}',\n 'constrset': r'\\bm{\\chi}',\n 'singleconstr': r'\\chi',\n 'channelcounts': r'\\bm{n}',\n 'auxdata': r'\\bm{a}',\n 'poiset': r'\\bm{\\psi}',\n 'nuisset': r'\\bm{\\theta}',\n 'fullset': r'\\bm{\\phi}',\n 'singlefull': r'\\phi',\n 'TeV': r'\\textrm{TeV}',\n }\n },\n}\n", "path": "docs/conf.py" } ]
diff --git a/docs/citations.rst b/docs/citations.rst index 392e4190b4..991d6d0e27 100644 --- a/docs/citations.rst +++ b/docs/citations.rst @@ -25,17 +25,17 @@ Use Citations ~~~~~~~~~~~~~ .. bibliography:: bib/use_citations.bib - :list: bullet + :list: enumerated :all: - :style: plain + :style: unsrt General Citations ~~~~~~~~~~~~~~~~~ .. bibliography:: bib/general_citations.bib - :list: bullet + :list: enumerated :all: - :style: plain + :style: unsrt Published Statistical Models ---------------------------- @@ -43,6 +43,6 @@ Published Statistical Models Updating list of HEPData entries for publications using ``HistFactory`` JSON statistical models: .. bibliography:: bib/HEPData_likelihoods.bib - :list: bullet + :list: enumerated :all: - :style: plain + :style: unsrt diff --git a/docs/conf.py b/docs/conf.py index dc7fc07892..ed0b51b1b4 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -65,6 +65,7 @@ def setup(app): "bib/use_citations.bib", "bib/general_citations.bib", ] +bibtex_default_style = "unsrt" # external links xref_links = {"arXiv:1007.1727": ("[1007.1727]", "https://arxiv.org/abs/1007.1727")} diff --git a/docs/outreach.rst b/docs/outreach.rst index bae30a6a5a..a6c3e33bc2 100644 --- a/docs/outreach.rst +++ b/docs/outreach.rst @@ -43,7 +43,7 @@ This list will be updated with talks given on :code:`pyhf`: .. bibliography:: bib/talks.bib :list: bullet :all: - :style: plain + :style: unsrt Tutorials --------- @@ -53,7 +53,7 @@ This list will be updated with tutorials and schools given on :code:`pyhf`: .. bibliography:: bib/tutorials.bib :list: bullet :all: - :style: plain + :style: unsrt Posters @@ -64,7 +64,7 @@ This list will be updated with posters presented on :code:`pyhf`: .. bibliography:: bib/posters.bib :list: bullet :all: - :style: plain + :style: unsrt In the Media ------------ @@ -74,4 +74,4 @@ This list will be updated with media publications featuring :code:`pyhf`: .. bibliography:: bib/media.bib :list: bullet :all: - :style: plain + :style: unsrt
docs: Enable chronological ordering of talks and tutorials on website # Description At the moment, the [docs webpage](https://scikit-hep.org/pyhf/outreach.html) does not order the talks and tutorials given in reverse chronological order. This makes it hard for someone new to find the most recent and relevant information on the page. If the page can be rendered in reverse chronological order that would be very useful.
plotly__plotly.py-4022
[ { "content": "import uuid\nimport os\nfrom pathlib import Path\nimport webbrowser\n\nfrom _plotly_utils.optional_imports import get_module\nfrom plotly.io._utils import validate_coerce_fig_to_dict, plotly_cdn_url\nfrom plotly.offline.offline import _get_jconfig, get_plotlyjs\nfrom plotly import utils\n\n_json = get_module(\"json\")\n\n\n# Build script to set global PlotlyConfig object. This must execute before\n# plotly.js is loaded.\n_window_plotly_config = \"\"\"\\\n<script type=\"text/javascript\">\\\nwindow.PlotlyConfig = {MathJaxConfig: 'local'};\\\n</script>\"\"\"\n\n_mathjax_config = \"\"\"\\\n<script type=\"text/javascript\">\\\nif (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\\\n</script>\"\"\"\n\n\ndef to_html(\n fig,\n config=None,\n auto_play=True,\n include_plotlyjs=True,\n include_mathjax=False,\n post_script=None,\n full_html=True,\n animation_opts=None,\n default_width=\"100%\",\n default_height=\"100%\",\n validate=True,\n div_id=None,\n):\n \"\"\"\n Convert a figure to an HTML string representation.\n\n Parameters\n ----------\n fig:\n Figure object or dict representing a figure\n config: dict or None (default None)\n Plotly.js figure config options\n auto_play: bool (default=True)\n Whether to automatically start the animation sequence on page load\n if the figure contains frames. Has no effect if the figure does not\n contain frames.\n include_plotlyjs: bool or string (default True)\n Specifies how the plotly.js library is included/loaded in the output\n div string.\n\n If True, a script tag containing the plotly.js source code (~3MB)\n is included in the output. HTML files generated with this option are\n fully self-contained and can be used offline.\n\n If 'cdn', a script tag that references the plotly.js CDN is included\n in the output. The url used is versioned to match the bundled plotly.js.\n HTML files generated with this option are about 3MB smaller than those\n generated with include_plotlyjs=True, but they require an active\n internet connection in order to load the plotly.js library.\n\n If 'directory', a script tag is included that references an external\n plotly.min.js bundle that is assumed to reside in the same\n directory as the HTML file.\n\n If 'require', Plotly.js is loaded using require.js. This option\n assumes that require.js is globally available and that it has been\n globally configured to know how to find Plotly.js as 'plotly'.\n This option is not advised when full_html=True as it will result\n in a non-functional html file.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point\n the resulting HTML file to an alternative CDN or local bundle.\n\n If False, no script tag referencing plotly.js is included. This is\n useful when the resulting div string will be placed inside an HTML\n document that already loads plotly.js. This option is not advised\n when full_html=True as it will result in a non-functional html file.\n include_mathjax: bool or string (default False)\n Specifies how the MathJax.js library is included in the output html\n div string. MathJax is required in order to display labels\n with LaTeX typesetting.\n\n If False, no script tag referencing MathJax.js will be included in the\n output.\n\n If 'cdn', a script tag that references a MathJax CDN location will be\n included in the output. HTML div strings generated with this option\n will be able to display LaTeX typesetting as long as internet access\n is available.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point the\n resulting HTML div string to an alternative CDN.\n post_script: str or list or None (default None)\n JavaScript snippet(s) to be included in the resulting div just after\n plot creation. The string(s) may include '{plot_id}' placeholders\n that will then be replaced by the `id` of the div element that the\n plotly.js figure is associated with. One application for this script\n is to install custom plotly.js event handlers.\n full_html: bool (default True)\n If True, produce a string containing a complete HTML document\n starting with an <html> tag. If False, produce a string containing\n a single <div> element.\n animation_opts: dict or None (default None)\n dict of custom animation parameters to be passed to the function\n Plotly.animate in Plotly.js. See\n https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js\n for available options. Has no effect if the figure does not contain\n frames, or auto_play is False.\n default_width, default_height: number or str (default '100%')\n The default figure width/height to use if the provided figure does not\n specify its own layout.width/layout.height property. May be\n specified in pixels as an integer (e.g. 500), or as a css width style\n string (e.g. '500px', '100%').\n validate: bool (default True)\n True if the figure should be validated before being converted to\n JSON, False otherwise.\n div_id: str (default None)\n If provided, this is the value of the id attribute of the div tag. If None, the\n id attribute is a UUID.\n\n Returns\n -------\n str\n Representation of figure as an HTML div string\n \"\"\"\n from plotly.io.json import to_json_plotly\n\n # ## Validate figure ##\n fig_dict = validate_coerce_fig_to_dict(fig, validate)\n\n # ## Generate div id ##\n plotdivid = div_id or str(uuid.uuid4())\n\n # ## Serialize figure ##\n jdata = to_json_plotly(fig_dict.get(\"data\", []))\n jlayout = to_json_plotly(fig_dict.get(\"layout\", {}))\n\n if fig_dict.get(\"frames\", None):\n jframes = to_json_plotly(fig_dict.get(\"frames\", []))\n else:\n jframes = None\n\n # ## Serialize figure config ##\n config = _get_jconfig(config)\n\n # Set responsive\n config.setdefault(\"responsive\", True)\n\n # Get div width/height\n layout_dict = fig_dict.get(\"layout\", {})\n template_dict = fig_dict.get(\"layout\", {}).get(\"template\", {}).get(\"layout\", {})\n\n div_width = layout_dict.get(\"width\", template_dict.get(\"width\", default_width))\n div_height = layout_dict.get(\"height\", template_dict.get(\"height\", default_height))\n\n # Add 'px' suffix to numeric widths\n try:\n float(div_width)\n except (ValueError, TypeError):\n pass\n else:\n div_width = str(div_width) + \"px\"\n\n try:\n float(div_height)\n except (ValueError, TypeError):\n pass\n else:\n div_height = str(div_height) + \"px\"\n\n # ## Get platform URL ##\n if config.get(\"showLink\", False) or config.get(\"showSendToCloud\", False):\n # Figure is going to include a Chart Studio link or send-to-cloud button,\n # So we need to configure the PLOTLYENV.BASE_URL property\n base_url_line = \"\"\"\n window.PLOTLYENV.BASE_URL='{plotly_platform_url}';\\\n\"\"\".format(\n plotly_platform_url=config.get(\"plotlyServerURL\", \"https://plot.ly\")\n )\n else:\n # Figure is not going to include a Chart Studio link or send-to-cloud button,\n # In this case we don't want https://plot.ly to show up anywhere in the HTML\n # output\n config.pop(\"plotlyServerURL\", None)\n config.pop(\"linkText\", None)\n config.pop(\"showLink\", None)\n base_url_line = \"\"\n\n # ## Build script body ##\n # This is the part that actually calls Plotly.js\n\n # build post script snippet(s)\n then_post_script = \"\"\n if post_script:\n if not isinstance(post_script, (list, tuple)):\n post_script = [post_script]\n for ps in post_script:\n then_post_script += \"\"\".then(function(){{\n {post_script}\n }})\"\"\".format(\n post_script=ps.replace(\"{plot_id}\", plotdivid)\n )\n\n then_addframes = \"\"\n then_animate = \"\"\n if jframes:\n then_addframes = \"\"\".then(function(){{\n Plotly.addFrames('{id}', {frames});\n }})\"\"\".format(\n id=plotdivid, frames=jframes\n )\n\n if auto_play:\n if animation_opts:\n animation_opts_arg = \", \" + _json.dumps(animation_opts)\n else:\n animation_opts_arg = \"\"\n then_animate = \"\"\".then(function(){{\n Plotly.animate('{id}', null{animation_opts});\n }})\"\"\".format(\n id=plotdivid, animation_opts=animation_opts_arg\n )\n\n # Serialize config dict to JSON\n jconfig = _json.dumps(config)\n\n script = \"\"\"\\\n if (document.getElementById(\"{id}\")) {{\\\n Plotly.newPlot(\\\n \"{id}\",\\\n {data},\\\n {layout},\\\n {config}\\\n ){then_addframes}{then_animate}{then_post_script}\\\n }}\"\"\".format(\n id=plotdivid,\n data=jdata,\n layout=jlayout,\n config=jconfig,\n then_addframes=then_addframes,\n then_animate=then_animate,\n then_post_script=then_post_script,\n )\n\n # ## Handle loading/initializing plotly.js ##\n include_plotlyjs_orig = include_plotlyjs\n if isinstance(include_plotlyjs, str):\n include_plotlyjs = include_plotlyjs.lower()\n\n # Start/end of requirejs block (if any)\n require_start = \"\"\n require_end = \"\"\n\n # Init and load\n load_plotlyjs = \"\"\n\n # Init plotlyjs. This block needs to run before plotly.js is loaded in\n # order for MathJax configuration to work properly\n if include_plotlyjs == \"require\":\n require_start = 'require([\"plotly\"], function(Plotly) {'\n require_end = \"});\"\n\n elif include_plotlyjs == \"cdn\":\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script src=\"{cdn_url}\"></script>\\\n \"\"\".format(\n win_config=_window_plotly_config, cdn_url=plotly_cdn_url()\n )\n\n elif include_plotlyjs == \"directory\":\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script src=\"plotly.min.js\"></script>\\\n \"\"\".format(\n win_config=_window_plotly_config\n )\n\n elif isinstance(include_plotlyjs, str) and include_plotlyjs.endswith(\".js\"):\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script src=\"{url}\"></script>\\\n \"\"\".format(\n win_config=_window_plotly_config, url=include_plotlyjs_orig\n )\n\n elif include_plotlyjs:\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script type=\"text/javascript\">{plotlyjs}</script>\\\n \"\"\".format(\n win_config=_window_plotly_config, plotlyjs=get_plotlyjs()\n )\n\n # ## Handle loading/initializing MathJax ##\n include_mathjax_orig = include_mathjax\n if isinstance(include_mathjax, str):\n include_mathjax = include_mathjax.lower()\n\n mathjax_template = \"\"\"\\\n <script src=\"{url}?config=TeX-AMS-MML_SVG\"></script>\"\"\"\n\n if include_mathjax == \"cdn\":\n mathjax_script = (\n mathjax_template.format(\n url=(\n \"https://cdnjs.cloudflare.com\" \"/ajax/libs/mathjax/2.7.5/MathJax.js\"\n )\n )\n + _mathjax_config\n )\n\n elif isinstance(include_mathjax, str) and include_mathjax.endswith(\".js\"):\n\n mathjax_script = (\n mathjax_template.format(url=include_mathjax_orig) + _mathjax_config\n )\n elif not include_mathjax:\n mathjax_script = \"\"\n else:\n raise ValueError(\n \"\"\"\\\nInvalid value of type {typ} received as the include_mathjax argument\n Received value: {val}\n\ninclude_mathjax may be specified as False, 'cdn', or a string ending with '.js'\n \"\"\".format(\n typ=type(include_mathjax), val=repr(include_mathjax)\n )\n )\n\n plotly_html_div = \"\"\"\\\n<div>\\\n {mathjax_script}\\\n {load_plotlyjs}\\\n <div id=\"{id}\" class=\"plotly-graph-div\" \\\nstyle=\"height:{height}; width:{width};\"></div>\\\n <script type=\"text/javascript\">\\\n {require_start}\\\n window.PLOTLYENV=window.PLOTLYENV || {{}};{base_url_line}\\\n {script};\\\n {require_end}\\\n </script>\\\n </div>\"\"\".format(\n mathjax_script=mathjax_script,\n load_plotlyjs=load_plotlyjs,\n id=plotdivid,\n width=div_width,\n height=div_height,\n base_url_line=base_url_line,\n require_start=require_start,\n script=script,\n require_end=require_end,\n ).strip()\n\n if full_html:\n return \"\"\"\\\n<html>\n<head><meta charset=\"utf-8\" /></head>\n<body>\n {div}\n</body>\n</html>\"\"\".format(\n div=plotly_html_div\n )\n else:\n return plotly_html_div\n\n\ndef write_html(\n fig,\n file,\n config=None,\n auto_play=True,\n include_plotlyjs=True,\n include_mathjax=False,\n post_script=None,\n full_html=True,\n animation_opts=None,\n validate=True,\n default_width=\"100%\",\n default_height=\"100%\",\n auto_open=False,\n div_id=None,\n):\n \"\"\"\n Write a figure to an HTML file representation\n\n Parameters\n ----------\n fig:\n Figure object or dict representing a figure\n file: str or writeable\n A string representing a local file path or a writeable object\n (e.g. a pathlib.Path object or an open file descriptor)\n config: dict or None (default None)\n Plotly.js figure config options\n auto_play: bool (default=True)\n Whether to automatically start the animation sequence on page load\n if the figure contains frames. Has no effect if the figure does not\n contain frames.\n include_plotlyjs: bool or string (default True)\n Specifies how the plotly.js library is included/loaded in the output\n div string.\n\n If True, a script tag containing the plotly.js source code (~3MB)\n is included in the output. HTML files generated with this option are\n fully self-contained and can be used offline.\n\n If 'cdn', a script tag that references the plotly.js CDN is included\n in the output. The url used is versioned to match the bundled plotly.js.\n HTML files generated with this option are about 3MB smaller than those\n generated with include_plotlyjs=True, but they require an active\n internet connection in order to load the plotly.js library.\n\n If 'directory', a script tag is included that references an external\n plotly.min.js bundle that is assumed to reside in the same\n directory as the HTML file. If `file` is a string to a local file\n path and `full_html` is True, then the plotly.min.js bundle is copied\n into the directory of the resulting HTML file. If a file named\n plotly.min.js already exists in the output directory then this file\n is left unmodified and no copy is performed. HTML files generated\n with this option can be used offline, but they require a copy of\n the plotly.min.js bundle in the same directory. This option is\n useful when many figures will be saved as HTML files in the same\n directory because the plotly.js source code will be included only\n once per output directory, rather than once per output file.\n\n If 'require', Plotly.js is loaded using require.js. This option\n assumes that require.js is globally available and that it has been\n globally configured to know how to find Plotly.js as 'plotly'.\n This option is not advised when full_html=True as it will result\n in a non-functional html file.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point\n the resulting HTML file to an alternative CDN or local bundle.\n\n If False, no script tag referencing plotly.js is included. This is\n useful when the resulting div string will be placed inside an HTML\n document that already loads plotly.js. This option is not advised\n when full_html=True as it will result in a non-functional html file.\n\n include_mathjax: bool or string (default False)\n Specifies how the MathJax.js library is included in the output html\n div string. MathJax is required in order to display labels\n with LaTeX typesetting.\n\n If False, no script tag referencing MathJax.js will be included in the\n output.\n\n If 'cdn', a script tag that references a MathJax CDN location will be\n included in the output. HTML div strings generated with this option\n will be able to display LaTeX typesetting as long as internet access\n is available.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point the\n resulting HTML div string to an alternative CDN.\n post_script: str or list or None (default None)\n JavaScript snippet(s) to be included in the resulting div just after\n plot creation. The string(s) may include '{plot_id}' placeholders\n that will then be replaced by the `id` of the div element that the\n plotly.js figure is associated with. One application for this script\n is to install custom plotly.js event handlers.\n full_html: bool (default True)\n If True, produce a string containing a complete HTML document\n starting with an <html> tag. If False, produce a string containing\n a single <div> element.\n animation_opts: dict or None (default None)\n dict of custom animation parameters to be passed to the function\n Plotly.animate in Plotly.js. See\n https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js\n for available options. Has no effect if the figure does not contain\n frames, or auto_play is False.\n default_width, default_height: number or str (default '100%')\n The default figure width/height to use if the provided figure does not\n specify its own layout.width/layout.height property. May be\n specified in pixels as an integer (e.g. 500), or as a css width style\n string (e.g. '500px', '100%').\n validate: bool (default True)\n True if the figure should be validated before being converted to\n JSON, False otherwise.\n auto_open: bool (default True)\n If True, open the saved file in a web browser after saving.\n This argument only applies if `full_html` is True.\n div_id: str (default None)\n If provided, this is the value of the id attribute of the div tag. If None, the\n id attribute is a UUID.\n\n Returns\n -------\n str\n Representation of figure as an HTML div string\n \"\"\"\n\n # Build HTML string\n html_str = to_html(\n fig,\n config=config,\n auto_play=auto_play,\n include_plotlyjs=include_plotlyjs,\n include_mathjax=include_mathjax,\n post_script=post_script,\n full_html=full_html,\n animation_opts=animation_opts,\n default_width=default_width,\n default_height=default_height,\n validate=validate,\n div_id=div_id,\n )\n\n # Check if file is a string\n if isinstance(file, str):\n # Use the standard pathlib constructor to make a pathlib object.\n path = Path(file)\n elif isinstance(file, Path): # PurePath is the most general pathlib object.\n # `file` is already a pathlib object.\n path = file\n else:\n # We could not make a pathlib object out of file. Either `file` is an open file\n # descriptor with a `write()` method or it's an invalid object.\n path = None\n\n # Write HTML string\n if path is not None:\n path.write_text(html_str)\n else:\n file.write(html_str)\n\n # Check if we should copy plotly.min.js to output directory\n if path is not None and full_html and include_plotlyjs == \"directory\":\n bundle_path = path.parent / \"plotly.min.js\"\n\n if not bundle_path.exists():\n bundle_path.write_text(get_plotlyjs())\n\n # Handle auto_open\n if path is not None and full_html and auto_open:\n url = path.absolute().as_uri()\n webbrowser.open(url)\n", "path": "packages/python/plotly/plotly/io/_html.py" } ]
[ { "content": "import uuid\nimport os\nfrom pathlib import Path\nimport webbrowser\n\nfrom _plotly_utils.optional_imports import get_module\nfrom plotly.io._utils import validate_coerce_fig_to_dict, plotly_cdn_url\nfrom plotly.offline.offline import _get_jconfig, get_plotlyjs\nfrom plotly import utils\n\n_json = get_module(\"json\")\n\n\n# Build script to set global PlotlyConfig object. This must execute before\n# plotly.js is loaded.\n_window_plotly_config = \"\"\"\\\n<script type=\"text/javascript\">\\\nwindow.PlotlyConfig = {MathJaxConfig: 'local'};\\\n</script>\"\"\"\n\n_mathjax_config = \"\"\"\\\n<script type=\"text/javascript\">\\\nif (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\\\n</script>\"\"\"\n\n\ndef to_html(\n fig,\n config=None,\n auto_play=True,\n include_plotlyjs=True,\n include_mathjax=False,\n post_script=None,\n full_html=True,\n animation_opts=None,\n default_width=\"100%\",\n default_height=\"100%\",\n validate=True,\n div_id=None,\n):\n \"\"\"\n Convert a figure to an HTML string representation.\n\n Parameters\n ----------\n fig:\n Figure object or dict representing a figure\n config: dict or None (default None)\n Plotly.js figure config options\n auto_play: bool (default=True)\n Whether to automatically start the animation sequence on page load\n if the figure contains frames. Has no effect if the figure does not\n contain frames.\n include_plotlyjs: bool or string (default True)\n Specifies how the plotly.js library is included/loaded in the output\n div string.\n\n If True, a script tag containing the plotly.js source code (~3MB)\n is included in the output. HTML files generated with this option are\n fully self-contained and can be used offline.\n\n If 'cdn', a script tag that references the plotly.js CDN is included\n in the output. The url used is versioned to match the bundled plotly.js.\n HTML files generated with this option are about 3MB smaller than those\n generated with include_plotlyjs=True, but they require an active\n internet connection in order to load the plotly.js library.\n\n If 'directory', a script tag is included that references an external\n plotly.min.js bundle that is assumed to reside in the same\n directory as the HTML file.\n\n If 'require', Plotly.js is loaded using require.js. This option\n assumes that require.js is globally available and that it has been\n globally configured to know how to find Plotly.js as 'plotly'.\n This option is not advised when full_html=True as it will result\n in a non-functional html file.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point\n the resulting HTML file to an alternative CDN or local bundle.\n\n If False, no script tag referencing plotly.js is included. This is\n useful when the resulting div string will be placed inside an HTML\n document that already loads plotly.js. This option is not advised\n when full_html=True as it will result in a non-functional html file.\n include_mathjax: bool or string (default False)\n Specifies how the MathJax.js library is included in the output html\n div string. MathJax is required in order to display labels\n with LaTeX typesetting.\n\n If False, no script tag referencing MathJax.js will be included in the\n output.\n\n If 'cdn', a script tag that references a MathJax CDN location will be\n included in the output. HTML div strings generated with this option\n will be able to display LaTeX typesetting as long as internet access\n is available.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point the\n resulting HTML div string to an alternative CDN.\n post_script: str or list or None (default None)\n JavaScript snippet(s) to be included in the resulting div just after\n plot creation. The string(s) may include '{plot_id}' placeholders\n that will then be replaced by the `id` of the div element that the\n plotly.js figure is associated with. One application for this script\n is to install custom plotly.js event handlers.\n full_html: bool (default True)\n If True, produce a string containing a complete HTML document\n starting with an <html> tag. If False, produce a string containing\n a single <div> element.\n animation_opts: dict or None (default None)\n dict of custom animation parameters to be passed to the function\n Plotly.animate in Plotly.js. See\n https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js\n for available options. Has no effect if the figure does not contain\n frames, or auto_play is False.\n default_width, default_height: number or str (default '100%')\n The default figure width/height to use if the provided figure does not\n specify its own layout.width/layout.height property. May be\n specified in pixels as an integer (e.g. 500), or as a css width style\n string (e.g. '500px', '100%').\n validate: bool (default True)\n True if the figure should be validated before being converted to\n JSON, False otherwise.\n div_id: str (default None)\n If provided, this is the value of the id attribute of the div tag. If None, the\n id attribute is a UUID.\n\n Returns\n -------\n str\n Representation of figure as an HTML div string\n \"\"\"\n from plotly.io.json import to_json_plotly\n\n # ## Validate figure ##\n fig_dict = validate_coerce_fig_to_dict(fig, validate)\n\n # ## Generate div id ##\n plotdivid = div_id or str(uuid.uuid4())\n\n # ## Serialize figure ##\n jdata = to_json_plotly(fig_dict.get(\"data\", []))\n jlayout = to_json_plotly(fig_dict.get(\"layout\", {}))\n\n if fig_dict.get(\"frames\", None):\n jframes = to_json_plotly(fig_dict.get(\"frames\", []))\n else:\n jframes = None\n\n # ## Serialize figure config ##\n config = _get_jconfig(config)\n\n # Set responsive\n config.setdefault(\"responsive\", True)\n\n # Get div width/height\n layout_dict = fig_dict.get(\"layout\", {})\n template_dict = fig_dict.get(\"layout\", {}).get(\"template\", {}).get(\"layout\", {})\n\n div_width = layout_dict.get(\"width\", template_dict.get(\"width\", default_width))\n div_height = layout_dict.get(\"height\", template_dict.get(\"height\", default_height))\n\n # Add 'px' suffix to numeric widths\n try:\n float(div_width)\n except (ValueError, TypeError):\n pass\n else:\n div_width = str(div_width) + \"px\"\n\n try:\n float(div_height)\n except (ValueError, TypeError):\n pass\n else:\n div_height = str(div_height) + \"px\"\n\n # ## Get platform URL ##\n if config.get(\"showLink\", False) or config.get(\"showSendToCloud\", False):\n # Figure is going to include a Chart Studio link or send-to-cloud button,\n # So we need to configure the PLOTLYENV.BASE_URL property\n base_url_line = \"\"\"\n window.PLOTLYENV.BASE_URL='{plotly_platform_url}';\\\n\"\"\".format(\n plotly_platform_url=config.get(\"plotlyServerURL\", \"https://plot.ly\")\n )\n else:\n # Figure is not going to include a Chart Studio link or send-to-cloud button,\n # In this case we don't want https://plot.ly to show up anywhere in the HTML\n # output\n config.pop(\"plotlyServerURL\", None)\n config.pop(\"linkText\", None)\n config.pop(\"showLink\", None)\n base_url_line = \"\"\n\n # ## Build script body ##\n # This is the part that actually calls Plotly.js\n\n # build post script snippet(s)\n then_post_script = \"\"\n if post_script:\n if not isinstance(post_script, (list, tuple)):\n post_script = [post_script]\n for ps in post_script:\n then_post_script += \"\"\".then(function(){{\n {post_script}\n }})\"\"\".format(\n post_script=ps.replace(\"{plot_id}\", plotdivid)\n )\n\n then_addframes = \"\"\n then_animate = \"\"\n if jframes:\n then_addframes = \"\"\".then(function(){{\n Plotly.addFrames('{id}', {frames});\n }})\"\"\".format(\n id=plotdivid, frames=jframes\n )\n\n if auto_play:\n if animation_opts:\n animation_opts_arg = \", \" + _json.dumps(animation_opts)\n else:\n animation_opts_arg = \"\"\n then_animate = \"\"\".then(function(){{\n Plotly.animate('{id}', null{animation_opts});\n }})\"\"\".format(\n id=plotdivid, animation_opts=animation_opts_arg\n )\n\n # Serialize config dict to JSON\n jconfig = _json.dumps(config)\n\n script = \"\"\"\\\n if (document.getElementById(\"{id}\")) {{\\\n Plotly.newPlot(\\\n \"{id}\",\\\n {data},\\\n {layout},\\\n {config}\\\n ){then_addframes}{then_animate}{then_post_script}\\\n }}\"\"\".format(\n id=plotdivid,\n data=jdata,\n layout=jlayout,\n config=jconfig,\n then_addframes=then_addframes,\n then_animate=then_animate,\n then_post_script=then_post_script,\n )\n\n # ## Handle loading/initializing plotly.js ##\n include_plotlyjs_orig = include_plotlyjs\n if isinstance(include_plotlyjs, str):\n include_plotlyjs = include_plotlyjs.lower()\n\n # Start/end of requirejs block (if any)\n require_start = \"\"\n require_end = \"\"\n\n # Init and load\n load_plotlyjs = \"\"\n\n # Init plotlyjs. This block needs to run before plotly.js is loaded in\n # order for MathJax configuration to work properly\n if include_plotlyjs == \"require\":\n require_start = 'require([\"plotly\"], function(Plotly) {'\n require_end = \"});\"\n\n elif include_plotlyjs == \"cdn\":\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script src=\"{cdn_url}\"></script>\\\n \"\"\".format(\n win_config=_window_plotly_config, cdn_url=plotly_cdn_url()\n )\n\n elif include_plotlyjs == \"directory\":\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script src=\"plotly.min.js\"></script>\\\n \"\"\".format(\n win_config=_window_plotly_config\n )\n\n elif isinstance(include_plotlyjs, str) and include_plotlyjs.endswith(\".js\"):\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script src=\"{url}\"></script>\\\n \"\"\".format(\n win_config=_window_plotly_config, url=include_plotlyjs_orig\n )\n\n elif include_plotlyjs:\n load_plotlyjs = \"\"\"\\\n {win_config}\n <script type=\"text/javascript\">{plotlyjs}</script>\\\n \"\"\".format(\n win_config=_window_plotly_config, plotlyjs=get_plotlyjs()\n )\n\n # ## Handle loading/initializing MathJax ##\n include_mathjax_orig = include_mathjax\n if isinstance(include_mathjax, str):\n include_mathjax = include_mathjax.lower()\n\n mathjax_template = \"\"\"\\\n <script src=\"{url}?config=TeX-AMS-MML_SVG\"></script>\"\"\"\n\n if include_mathjax == \"cdn\":\n mathjax_script = (\n mathjax_template.format(\n url=(\n \"https://cdnjs.cloudflare.com\" \"/ajax/libs/mathjax/2.7.5/MathJax.js\"\n )\n )\n + _mathjax_config\n )\n\n elif isinstance(include_mathjax, str) and include_mathjax.endswith(\".js\"):\n\n mathjax_script = (\n mathjax_template.format(url=include_mathjax_orig) + _mathjax_config\n )\n elif not include_mathjax:\n mathjax_script = \"\"\n else:\n raise ValueError(\n \"\"\"\\\nInvalid value of type {typ} received as the include_mathjax argument\n Received value: {val}\n\ninclude_mathjax may be specified as False, 'cdn', or a string ending with '.js'\n \"\"\".format(\n typ=type(include_mathjax), val=repr(include_mathjax)\n )\n )\n\n plotly_html_div = \"\"\"\\\n<div>\\\n {mathjax_script}\\\n {load_plotlyjs}\\\n <div id=\"{id}\" class=\"plotly-graph-div\" \\\nstyle=\"height:{height}; width:{width};\"></div>\\\n <script type=\"text/javascript\">\\\n {require_start}\\\n window.PLOTLYENV=window.PLOTLYENV || {{}};{base_url_line}\\\n {script};\\\n {require_end}\\\n </script>\\\n </div>\"\"\".format(\n mathjax_script=mathjax_script,\n load_plotlyjs=load_plotlyjs,\n id=plotdivid,\n width=div_width,\n height=div_height,\n base_url_line=base_url_line,\n require_start=require_start,\n script=script,\n require_end=require_end,\n ).strip()\n\n if full_html:\n return \"\"\"\\\n<html>\n<head><meta charset=\"utf-8\" /></head>\n<body>\n {div}\n</body>\n</html>\"\"\".format(\n div=plotly_html_div\n )\n else:\n return plotly_html_div\n\n\ndef write_html(\n fig,\n file,\n config=None,\n auto_play=True,\n include_plotlyjs=True,\n include_mathjax=False,\n post_script=None,\n full_html=True,\n animation_opts=None,\n validate=True,\n default_width=\"100%\",\n default_height=\"100%\",\n auto_open=False,\n div_id=None,\n):\n \"\"\"\n Write a figure to an HTML file representation\n\n Parameters\n ----------\n fig:\n Figure object or dict representing a figure\n file: str or writeable\n A string representing a local file path or a writeable object\n (e.g. a pathlib.Path object or an open file descriptor)\n config: dict or None (default None)\n Plotly.js figure config options\n auto_play: bool (default=True)\n Whether to automatically start the animation sequence on page load\n if the figure contains frames. Has no effect if the figure does not\n contain frames.\n include_plotlyjs: bool or string (default True)\n Specifies how the plotly.js library is included/loaded in the output\n div string.\n\n If True, a script tag containing the plotly.js source code (~3MB)\n is included in the output. HTML files generated with this option are\n fully self-contained and can be used offline.\n\n If 'cdn', a script tag that references the plotly.js CDN is included\n in the output. The url used is versioned to match the bundled plotly.js.\n HTML files generated with this option are about 3MB smaller than those\n generated with include_plotlyjs=True, but they require an active\n internet connection in order to load the plotly.js library.\n\n If 'directory', a script tag is included that references an external\n plotly.min.js bundle that is assumed to reside in the same\n directory as the HTML file. If `file` is a string to a local file\n path and `full_html` is True, then the plotly.min.js bundle is copied\n into the directory of the resulting HTML file. If a file named\n plotly.min.js already exists in the output directory then this file\n is left unmodified and no copy is performed. HTML files generated\n with this option can be used offline, but they require a copy of\n the plotly.min.js bundle in the same directory. This option is\n useful when many figures will be saved as HTML files in the same\n directory because the plotly.js source code will be included only\n once per output directory, rather than once per output file.\n\n If 'require', Plotly.js is loaded using require.js. This option\n assumes that require.js is globally available and that it has been\n globally configured to know how to find Plotly.js as 'plotly'.\n This option is not advised when full_html=True as it will result\n in a non-functional html file.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point\n the resulting HTML file to an alternative CDN or local bundle.\n\n If False, no script tag referencing plotly.js is included. This is\n useful when the resulting div string will be placed inside an HTML\n document that already loads plotly.js. This option is not advised\n when full_html=True as it will result in a non-functional html file.\n\n include_mathjax: bool or string (default False)\n Specifies how the MathJax.js library is included in the output html\n div string. MathJax is required in order to display labels\n with LaTeX typesetting.\n\n If False, no script tag referencing MathJax.js will be included in the\n output.\n\n If 'cdn', a script tag that references a MathJax CDN location will be\n included in the output. HTML div strings generated with this option\n will be able to display LaTeX typesetting as long as internet access\n is available.\n\n If a string that ends in '.js', a script tag is included that\n references the specified path. This approach can be used to point the\n resulting HTML div string to an alternative CDN.\n post_script: str or list or None (default None)\n JavaScript snippet(s) to be included in the resulting div just after\n plot creation. The string(s) may include '{plot_id}' placeholders\n that will then be replaced by the `id` of the div element that the\n plotly.js figure is associated with. One application for this script\n is to install custom plotly.js event handlers.\n full_html: bool (default True)\n If True, produce a string containing a complete HTML document\n starting with an <html> tag. If False, produce a string containing\n a single <div> element.\n animation_opts: dict or None (default None)\n dict of custom animation parameters to be passed to the function\n Plotly.animate in Plotly.js. See\n https://github.com/plotly/plotly.js/blob/master/src/plots/animation_attributes.js\n for available options. Has no effect if the figure does not contain\n frames, or auto_play is False.\n default_width, default_height: number or str (default '100%')\n The default figure width/height to use if the provided figure does not\n specify its own layout.width/layout.height property. May be\n specified in pixels as an integer (e.g. 500), or as a css width style\n string (e.g. '500px', '100%').\n validate: bool (default True)\n True if the figure should be validated before being converted to\n JSON, False otherwise.\n auto_open: bool (default True)\n If True, open the saved file in a web browser after saving.\n This argument only applies if `full_html` is True.\n div_id: str (default None)\n If provided, this is the value of the id attribute of the div tag. If None, the\n id attribute is a UUID.\n\n Returns\n -------\n str\n Representation of figure as an HTML div string\n \"\"\"\n\n # Build HTML string\n html_str = to_html(\n fig,\n config=config,\n auto_play=auto_play,\n include_plotlyjs=include_plotlyjs,\n include_mathjax=include_mathjax,\n post_script=post_script,\n full_html=full_html,\n animation_opts=animation_opts,\n default_width=default_width,\n default_height=default_height,\n validate=validate,\n div_id=div_id,\n )\n\n # Check if file is a string\n if isinstance(file, str):\n # Use the standard pathlib constructor to make a pathlib object.\n path = Path(file)\n elif isinstance(file, Path): # PurePath is the most general pathlib object.\n # `file` is already a pathlib object.\n path = file\n else:\n # We could not make a pathlib object out of file. Either `file` is an open file\n # descriptor with a `write()` method or it's an invalid object.\n path = None\n\n # Write HTML string\n if path is not None:\n # To use a different file encoding, pass a file descriptor\n path.write_text(html_str, \"utf-8\")\n else:\n file.write(html_str)\n\n # Check if we should copy plotly.min.js to output directory\n if path is not None and full_html and include_plotlyjs == \"directory\":\n bundle_path = path.parent / \"plotly.min.js\"\n\n if not bundle_path.exists():\n bundle_path.write_text(get_plotlyjs())\n\n # Handle auto_open\n if path is not None and full_html and auto_open:\n url = path.absolute().as_uri()\n webbrowser.open(url)\n", "path": "packages/python/plotly/plotly/io/_html.py" } ]
diff --git a/packages/python/plotly/plotly/io/_html.py b/packages/python/plotly/plotly/io/_html.py index 606df721f33..a1cc2a61990 100644 --- a/packages/python/plotly/plotly/io/_html.py +++ b/packages/python/plotly/plotly/io/_html.py @@ -533,7 +533,8 @@ def write_html( # Write HTML string if path is not None: - path.write_text(html_str) + # To use a different file encoding, pass a file descriptor + path.write_text(html_str, "utf-8") else: file.write(html_str) diff --git a/packages/python/plotly/plotly/tests/test_io/test_pathlib.py b/packages/python/plotly/plotly/tests/test_io/test_pathlib.py index 48eab2bb9e5..092ffe6a9a6 100644 --- a/packages/python/plotly/plotly/tests/test_io/test_pathlib.py +++ b/packages/python/plotly/plotly/tests/test_io/test_pathlib.py @@ -40,7 +40,7 @@ def test_write_html(): mock_pathlib_path = Mock(spec=Path) pio.write_html(fig, mock_pathlib_path) mock_pathlib_path.write_text.assert_called_once() - (pl_html,) = mock_pathlib_path.write_text.call_args[0] + pl_html = mock_pathlib_path.write_text.call_args[0][0] assert replace_div_id(html) == replace_div_id(pl_html) # Test pio.write_html with a mock file descriptor
HTML writing fails on Windows if plot title contains specific UTF characters (≥) MWE: ``` import plotly.express as px df = px.data.iris() fig = px.scatter(df, x="sepal_length", y="sepal_width", color="species", title="Automatic Labels Based on Data Frame Column Names ≥ 2") fig.show() fig.write_html('utf-bug.html') ``` Observations: ``` --------------------------------------------------------------------------- UnicodeEncodeError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_47908\2411983485.py in <module> 5 title="Automatic Labels Based on Data Frame Column Names ≥ 2") 6 fig.show() ----> 7 fig.write_html('utf-bug.html') D:\miniconda3\envs\my-env\lib\site-packages\plotly\basedatatypes.py in write_html(self, *args, **kwargs) 3706 import plotly.io as pio 3707 -> 3708 return pio.write_html(self, *args, **kwargs) 3709 3710 def to_image(self, *args, **kwargs): D:\miniconda3\envs\my-env\lib\site-packages\plotly\io\_html.py in write_html(fig, file, config, auto_play, include_plotlyjs, include_mathjax, post_script, full_html, animation_opts, validate, default_width, default_height, auto_open, div_id) 534 # Write HTML string 535 if path is not None: --> 536 path.write_text(html_str) 537 else: 538 file.write(html_str) D:\miniconda3\envs\my-env\lib\pathlib.py in write_text(self, data, encoding, errors) 1239 data.__class__.__name__) 1240 with self.open(mode='w', encoding=encoding, errors=errors) as f: -> 1241 return f.write(data) 1242 1243 def touch(self, mode=0o666, exist_ok=True): D:\miniconda3\envs\my-env\lib\encodings\cp1252.py in encode(self, input, final) 17 class IncrementalEncoder(codecs.IncrementalEncoder): 18 def encode(self, input, final=False): ---> 19 return codecs.charmap_encode(input,self.errors,encoding_table)[0] 20 21 class IncrementalDecoder(codecs.IncrementalDecoder): UnicodeEncodeError: 'charmap' codec can't encode character '\u2265' in position 3692519: character maps to <undefined> ``` It seems like the call to `path.write_text(html_str)` does not specify the encoding and ends up trying to write UTF-8 characters into a cp1252-encoded stream on Windows. Apparently, cp1252 is the default Windows choice. The `≥` character that breaks it all is present in both encoding tables, so saving should be possible. Note that the figure shows correctly before saving, so it's only a problem with HTML writing. Also, this issue seems similar, though not the same: https://github.com/plotly/plotly.py/issues/1289
encode__django-rest-framework-5055
[ { "content": "\"\"\"\nProvides an APIView class that is the base of all views in REST framework.\n\"\"\"\nfrom __future__ import unicode_literals\n\nfrom django.conf import settings\nfrom django.core.exceptions import PermissionDenied\nfrom django.db import models\nfrom django.http import Http404\nfrom django.http.response import HttpResponseBase\nfrom django.utils import six\nfrom django.utils.encoding import smart_text\nfrom django.utils.translation import ugettext_lazy as _\nfrom django.views.decorators.csrf import csrf_exempt\nfrom django.views.generic import View\n\nfrom rest_framework import exceptions, status\nfrom rest_framework.compat import set_rollback\nfrom rest_framework.request import Request\nfrom rest_framework.response import Response\nfrom rest_framework.settings import api_settings\nfrom rest_framework.utils import formatting\n\n\ndef get_view_name(view_cls, suffix=None):\n \"\"\"\n Given a view class, return a textual name to represent the view.\n This name is used in the browsable API, and in OPTIONS responses.\n\n This function is the default for the `VIEW_NAME_FUNCTION` setting.\n \"\"\"\n name = view_cls.__name__\n name = formatting.remove_trailing_string(name, 'View')\n name = formatting.remove_trailing_string(name, 'ViewSet')\n name = formatting.camelcase_to_spaces(name)\n if suffix:\n name += ' ' + suffix\n\n return name\n\n\ndef get_view_description(view_cls, html=False):\n \"\"\"\n Given a view class, return a textual description to represent the view.\n This name is used in the browsable API, and in OPTIONS responses.\n\n This function is the default for the `VIEW_DESCRIPTION_FUNCTION` setting.\n \"\"\"\n description = view_cls.__doc__ or ''\n description = formatting.dedent(smart_text(description))\n if html:\n return formatting.markup_description(description)\n return description\n\n\ndef exception_handler(exc, context):\n \"\"\"\n Returns the response that should be used for any given exception.\n\n By default we handle the REST framework `APIException`, and also\n Django's built-in `Http404` and `PermissionDenied` exceptions.\n\n Any unhandled exceptions may return `None`, which will cause a 500 error\n to be raised.\n \"\"\"\n if isinstance(exc, exceptions.APIException):\n headers = {}\n if getattr(exc, 'auth_header', None):\n headers['WWW-Authenticate'] = exc.auth_header\n if getattr(exc, 'wait', None):\n headers['Retry-After'] = '%d' % exc.wait\n\n if isinstance(exc.detail, (list, dict)):\n data = exc.detail\n else:\n data = {'detail': exc.detail}\n\n set_rollback()\n return Response(data, status=exc.status_code, headers=headers)\n\n elif isinstance(exc, Http404):\n msg = _('Not found.')\n data = {'detail': six.text_type(msg)}\n\n set_rollback()\n return Response(data, status=status.HTTP_404_NOT_FOUND)\n\n elif isinstance(exc, PermissionDenied):\n msg = _('Permission denied.')\n data = {'detail': six.text_type(msg)}\n\n set_rollback()\n return Response(data, status=status.HTTP_403_FORBIDDEN)\n\n return None\n\n\nclass APIView(View):\n\n # The following policies may be set at either globally, or per-view.\n renderer_classes = api_settings.DEFAULT_RENDERER_CLASSES\n parser_classes = api_settings.DEFAULT_PARSER_CLASSES\n authentication_classes = api_settings.DEFAULT_AUTHENTICATION_CLASSES\n throttle_classes = api_settings.DEFAULT_THROTTLE_CLASSES\n permission_classes = api_settings.DEFAULT_PERMISSION_CLASSES\n content_negotiation_class = api_settings.DEFAULT_CONTENT_NEGOTIATION_CLASS\n metadata_class = api_settings.DEFAULT_METADATA_CLASS\n versioning_class = api_settings.DEFAULT_VERSIONING_CLASS\n\n # Allow dependency injection of other settings to make testing easier.\n settings = api_settings\n\n # Mark the view as being included or excluded from schema generation.\n exclude_from_schema = False\n\n @classmethod\n def as_view(cls, **initkwargs):\n \"\"\"\n Store the original class on the view function.\n\n This allows us to discover information about the view when we do URL\n reverse lookups. Used for breadcrumb generation.\n \"\"\"\n if isinstance(getattr(cls, 'queryset', None), models.query.QuerySet):\n def force_evaluation():\n raise RuntimeError(\n 'Do not evaluate the `.queryset` attribute directly, '\n 'as the result will be cached and reused between requests. '\n 'Use `.all()` or call `.get_queryset()` instead.'\n )\n cls.queryset._fetch_all = force_evaluation\n\n view = super(APIView, cls).as_view(**initkwargs)\n view.cls = cls\n view.initkwargs = initkwargs\n\n # Note: session based authentication is explicitly CSRF validated,\n # all other authentication is CSRF exempt.\n return csrf_exempt(view)\n\n @property\n def allowed_methods(self):\n \"\"\"\n Wrap Django's private `_allowed_methods` interface in a public property.\n \"\"\"\n return self._allowed_methods()\n\n @property\n def default_response_headers(self):\n headers = {\n 'Allow': ', '.join(self.allowed_methods),\n }\n if len(self.renderer_classes) > 1:\n headers['Vary'] = 'Accept'\n return headers\n\n def http_method_not_allowed(self, request, *args, **kwargs):\n \"\"\"\n If `request.method` does not correspond to a handler method,\n determine what kind of exception to raise.\n \"\"\"\n raise exceptions.MethodNotAllowed(request.method)\n\n def permission_denied(self, request, message=None):\n \"\"\"\n If request is not permitted, determine what kind of exception to raise.\n \"\"\"\n if request.authenticators and not request.successful_authenticator:\n raise exceptions.NotAuthenticated()\n raise exceptions.PermissionDenied(detail=message)\n\n def throttled(self, request, wait):\n \"\"\"\n If request is throttled, determine what kind of exception to raise.\n \"\"\"\n raise exceptions.Throttled(wait)\n\n def get_authenticate_header(self, request):\n \"\"\"\n If a request is unauthenticated, determine the WWW-Authenticate\n header to use for 401 responses, if any.\n \"\"\"\n authenticators = self.get_authenticators()\n if authenticators:\n return authenticators[0].authenticate_header(request)\n\n def get_parser_context(self, http_request):\n \"\"\"\n Returns a dict that is passed through to Parser.parse(),\n as the `parser_context` keyword argument.\n \"\"\"\n # Note: Additionally `request` and `encoding` will also be added\n # to the context by the Request object.\n return {\n 'view': self,\n 'args': getattr(self, 'args', ()),\n 'kwargs': getattr(self, 'kwargs', {})\n }\n\n def get_renderer_context(self):\n \"\"\"\n Returns a dict that is passed through to Renderer.render(),\n as the `renderer_context` keyword argument.\n \"\"\"\n # Note: Additionally 'response' will also be added to the context,\n # by the Response object.\n return {\n 'view': self,\n 'args': getattr(self, 'args', ()),\n 'kwargs': getattr(self, 'kwargs', {}),\n 'request': getattr(self, 'request', None)\n }\n\n def get_exception_handler_context(self):\n \"\"\"\n Returns a dict that is passed through to EXCEPTION_HANDLER,\n as the `context` argument.\n \"\"\"\n return {\n 'view': self,\n 'args': getattr(self, 'args', ()),\n 'kwargs': getattr(self, 'kwargs', {}),\n 'request': getattr(self, 'request', None)\n }\n\n def get_view_name(self):\n \"\"\"\n Return the view name, as used in OPTIONS responses and in the\n browsable API.\n \"\"\"\n func = self.settings.VIEW_NAME_FUNCTION\n return func(self.__class__, getattr(self, 'suffix', None))\n\n def get_view_description(self, html=False):\n \"\"\"\n Return some descriptive text for the view, as used in OPTIONS responses\n and in the browsable API.\n \"\"\"\n func = self.settings.VIEW_DESCRIPTION_FUNCTION\n return func(self.__class__, html)\n\n # API policy instantiation methods\n\n def get_format_suffix(self, **kwargs):\n \"\"\"\n Determine if the request includes a '.json' style format suffix\n \"\"\"\n if self.settings.FORMAT_SUFFIX_KWARG:\n return kwargs.get(self.settings.FORMAT_SUFFIX_KWARG)\n\n def get_renderers(self):\n \"\"\"\n Instantiates and returns the list of renderers that this view can use.\n \"\"\"\n return [renderer() for renderer in self.renderer_classes]\n\n def get_parsers(self):\n \"\"\"\n Instantiates and returns the list of parsers that this view can use.\n \"\"\"\n return [parser() for parser in self.parser_classes]\n\n def get_authenticators(self):\n \"\"\"\n Instantiates and returns the list of authenticators that this view can use.\n \"\"\"\n return [auth() for auth in self.authentication_classes]\n\n def get_permissions(self):\n \"\"\"\n Instantiates and returns the list of permissions that this view requires.\n \"\"\"\n return [permission() for permission in self.permission_classes]\n\n def get_throttles(self):\n \"\"\"\n Instantiates and returns the list of throttles that this view uses.\n \"\"\"\n return [throttle() for throttle in self.throttle_classes]\n\n def get_content_negotiator(self):\n \"\"\"\n Instantiate and return the content negotiation class to use.\n \"\"\"\n if not getattr(self, '_negotiator', None):\n self._negotiator = self.content_negotiation_class()\n return self._negotiator\n\n def get_exception_handler(self):\n \"\"\"\n Returns the exception handler that this view uses.\n \"\"\"\n return api_settings.EXCEPTION_HANDLER\n\n # API policy implementation methods\n\n def perform_content_negotiation(self, request, force=False):\n \"\"\"\n Determine which renderer and media type to use render the response.\n \"\"\"\n renderers = self.get_renderers()\n conneg = self.get_content_negotiator()\n\n try:\n return conneg.select_renderer(request, renderers, self.format_kwarg)\n except Exception:\n if force:\n return (renderers[0], renderers[0].media_type)\n raise\n\n def perform_authentication(self, request):\n \"\"\"\n Perform authentication on the incoming request.\n\n Note that if you override this and simply 'pass', then authentication\n will instead be performed lazily, the first time either\n `request.user` or `request.auth` is accessed.\n \"\"\"\n request.user\n\n def check_permissions(self, request):\n \"\"\"\n Check if the request should be permitted.\n Raises an appropriate exception if the request is not permitted.\n \"\"\"\n for permission in self.get_permissions():\n if not permission.has_permission(request, self):\n self.permission_denied(\n request, message=getattr(permission, 'message', None)\n )\n\n def check_object_permissions(self, request, obj):\n \"\"\"\n Check if the request should be permitted for a given object.\n Raises an appropriate exception if the request is not permitted.\n \"\"\"\n for permission in self.get_permissions():\n if not permission.has_object_permission(request, self, obj):\n self.permission_denied(\n request, message=getattr(permission, 'message', None)\n )\n\n def check_throttles(self, request):\n \"\"\"\n Check if request should be throttled.\n Raises an appropriate exception if the request is throttled.\n \"\"\"\n for throttle in self.get_throttles():\n if not throttle.allow_request(request, self):\n self.throttled(request, throttle.wait())\n\n def determine_version(self, request, *args, **kwargs):\n \"\"\"\n If versioning is being used, then determine any API version for the\n incoming request. Returns a two-tuple of (version, versioning_scheme)\n \"\"\"\n if self.versioning_class is None:\n return (None, None)\n scheme = self.versioning_class()\n return (scheme.determine_version(request, *args, **kwargs), scheme)\n\n # Dispatch methods\n\n def initialize_request(self, request, *args, **kwargs):\n \"\"\"\n Returns the initial request object.\n \"\"\"\n parser_context = self.get_parser_context(request)\n\n return Request(\n request,\n parsers=self.get_parsers(),\n authenticators=self.get_authenticators(),\n negotiator=self.get_content_negotiator(),\n parser_context=parser_context\n )\n\n def initial(self, request, *args, **kwargs):\n \"\"\"\n Runs anything that needs to occur prior to calling the method handler.\n \"\"\"\n self.format_kwarg = self.get_format_suffix(**kwargs)\n\n # Perform content negotiation and store the accepted info on the request\n neg = self.perform_content_negotiation(request)\n request.accepted_renderer, request.accepted_media_type = neg\n\n # Determine the API version, if versioning is in use.\n version, scheme = self.determine_version(request, *args, **kwargs)\n request.version, request.versioning_scheme = version, scheme\n\n # Ensure that the incoming request is permitted\n self.perform_authentication(request)\n self.check_permissions(request)\n self.check_throttles(request)\n\n def finalize_response(self, request, response, *args, **kwargs):\n \"\"\"\n Returns the final response object.\n \"\"\"\n # Make the error obvious if a proper response is not returned\n assert isinstance(response, HttpResponseBase), (\n 'Expected a `Response`, `HttpResponse` or `HttpStreamingResponse` '\n 'to be returned from the view, but received a `%s`'\n % type(response)\n )\n\n if isinstance(response, Response):\n if not getattr(request, 'accepted_renderer', None):\n neg = self.perform_content_negotiation(request, force=True)\n request.accepted_renderer, request.accepted_media_type = neg\n\n response.accepted_renderer = request.accepted_renderer\n response.accepted_media_type = request.accepted_media_type\n response.renderer_context = self.get_renderer_context()\n\n for key, value in self.headers.items():\n response[key] = value\n\n return response\n\n def handle_exception(self, exc):\n \"\"\"\n Handle any exception that occurs, by returning an appropriate response,\n or re-raising the error.\n \"\"\"\n if isinstance(exc, (exceptions.NotAuthenticated,\n exceptions.AuthenticationFailed)):\n # WWW-Authenticate header for 401 responses, else coerce to 403\n auth_header = self.get_authenticate_header(self.request)\n\n if auth_header:\n exc.auth_header = auth_header\n else:\n exc.status_code = status.HTTP_403_FORBIDDEN\n\n exception_handler = self.get_exception_handler()\n\n context = self.get_exception_handler_context()\n response = exception_handler(exc, context)\n\n if response is None:\n self.raise_uncaught_exception(exc)\n\n response.exception = True\n return response\n\n def raise_uncaught_exception(self, exc):\n if settings.DEBUG:\n request = self.request\n renderer_format = getattr(request.accepted_renderer, 'format')\n use_plaintext_traceback = renderer_format not in ('html', 'api', 'admin')\n request.force_plaintext_errors(use_plaintext_traceback)\n raise\n\n # Note: Views are made CSRF exempt from within `as_view` as to prevent\n # accidental removal of this exemption in cases where `dispatch` needs to\n # be overridden.\n def dispatch(self, request, *args, **kwargs):\n \"\"\"\n `.dispatch()` is pretty much the same as Django's regular dispatch,\n but with extra hooks for startup, finalize, and exception handling.\n \"\"\"\n self.args = args\n self.kwargs = kwargs\n request = self.initialize_request(request, *args, **kwargs)\n self.request = request\n self.headers = self.default_response_headers # deprecate?\n\n try:\n self.initial(request, *args, **kwargs)\n\n # Get the appropriate handler method\n if request.method.lower() in self.http_method_names:\n handler = getattr(self, request.method.lower(),\n self.http_method_not_allowed)\n else:\n handler = self.http_method_not_allowed\n\n response = handler(request, *args, **kwargs)\n\n except Exception as exc:\n response = self.handle_exception(exc)\n\n self.response = self.finalize_response(request, response, *args, **kwargs)\n return self.response\n\n def options(self, request, *args, **kwargs):\n \"\"\"\n Handler method for HTTP 'OPTIONS' request.\n \"\"\"\n if self.metadata_class is None:\n return self.http_method_not_allowed(request, *args, **kwargs)\n data = self.metadata_class().determine_metadata(request, self)\n return Response(data, status=status.HTTP_200_OK)\n", "path": "rest_framework/views.py" } ]
[ { "content": "\"\"\"\nProvides an APIView class that is the base of all views in REST framework.\n\"\"\"\nfrom __future__ import unicode_literals\n\nfrom django.conf import settings\nfrom django.core.exceptions import PermissionDenied\nfrom django.db import models\nfrom django.http import Http404\nfrom django.http.response import HttpResponseBase\nfrom django.utils import six\nfrom django.utils.encoding import smart_text\nfrom django.utils.translation import ugettext_lazy as _\nfrom django.views.decorators.csrf import csrf_exempt\nfrom django.views.generic import View\n\nfrom rest_framework import exceptions, status\nfrom rest_framework.compat import set_rollback\nfrom rest_framework.request import Request\nfrom rest_framework.response import Response\nfrom rest_framework.settings import api_settings\nfrom rest_framework.utils import formatting\n\n\ndef get_view_name(view_cls, suffix=None):\n \"\"\"\n Given a view class, return a textual name to represent the view.\n This name is used in the browsable API, and in OPTIONS responses.\n\n This function is the default for the `VIEW_NAME_FUNCTION` setting.\n \"\"\"\n name = view_cls.__name__\n name = formatting.remove_trailing_string(name, 'View')\n name = formatting.remove_trailing_string(name, 'ViewSet')\n name = formatting.camelcase_to_spaces(name)\n if suffix:\n name += ' ' + suffix\n\n return name\n\n\ndef get_view_description(view_cls, html=False):\n \"\"\"\n Given a view class, return a textual description to represent the view.\n This name is used in the browsable API, and in OPTIONS responses.\n\n This function is the default for the `VIEW_DESCRIPTION_FUNCTION` setting.\n \"\"\"\n description = view_cls.__doc__ or ''\n description = formatting.dedent(smart_text(description))\n if html:\n return formatting.markup_description(description)\n return description\n\n\ndef exception_handler(exc, context):\n \"\"\"\n Returns the response that should be used for any given exception.\n\n By default we handle the REST framework `APIException`, and also\n Django's built-in `Http404` and `PermissionDenied` exceptions.\n\n Any unhandled exceptions may return `None`, which will cause a 500 error\n to be raised.\n \"\"\"\n if isinstance(exc, exceptions.APIException):\n headers = {}\n if getattr(exc, 'auth_header', None):\n headers['WWW-Authenticate'] = exc.auth_header\n if getattr(exc, 'wait', None):\n headers['Retry-After'] = '%d' % exc.wait\n\n if isinstance(exc.detail, (list, dict)):\n data = exc.detail\n else:\n data = {'detail': exc.detail}\n\n set_rollback()\n return Response(data, status=exc.status_code, headers=headers)\n\n elif isinstance(exc, Http404):\n msg = _('Not found.')\n data = {'detail': six.text_type(msg)}\n\n set_rollback()\n return Response(data, status=status.HTTP_404_NOT_FOUND)\n\n elif isinstance(exc, PermissionDenied):\n msg = _('Permission denied.')\n data = {'detail': six.text_type(msg)}\n\n set_rollback()\n return Response(data, status=status.HTTP_403_FORBIDDEN)\n\n return None\n\n\nclass APIView(View):\n\n # The following policies may be set at either globally, or per-view.\n renderer_classes = api_settings.DEFAULT_RENDERER_CLASSES\n parser_classes = api_settings.DEFAULT_PARSER_CLASSES\n authentication_classes = api_settings.DEFAULT_AUTHENTICATION_CLASSES\n throttle_classes = api_settings.DEFAULT_THROTTLE_CLASSES\n permission_classes = api_settings.DEFAULT_PERMISSION_CLASSES\n content_negotiation_class = api_settings.DEFAULT_CONTENT_NEGOTIATION_CLASS\n metadata_class = api_settings.DEFAULT_METADATA_CLASS\n versioning_class = api_settings.DEFAULT_VERSIONING_CLASS\n\n # Allow dependency injection of other settings to make testing easier.\n settings = api_settings\n\n # Mark the view as being included or excluded from schema generation.\n exclude_from_schema = False\n\n @classmethod\n def as_view(cls, **initkwargs):\n \"\"\"\n Store the original class on the view function.\n\n This allows us to discover information about the view when we do URL\n reverse lookups. Used for breadcrumb generation.\n \"\"\"\n if isinstance(getattr(cls, 'queryset', None), models.query.QuerySet):\n def force_evaluation():\n raise RuntimeError(\n 'Do not evaluate the `.queryset` attribute directly, '\n 'as the result will be cached and reused between requests. '\n 'Use `.all()` or call `.get_queryset()` instead.'\n )\n cls.queryset._fetch_all = force_evaluation\n\n view = super(APIView, cls).as_view(**initkwargs)\n view.cls = cls\n view.initkwargs = initkwargs\n\n # Note: session based authentication is explicitly CSRF validated,\n # all other authentication is CSRF exempt.\n return csrf_exempt(view)\n\n @property\n def allowed_methods(self):\n \"\"\"\n Wrap Django's private `_allowed_methods` interface in a public property.\n \"\"\"\n return self._allowed_methods()\n\n @property\n def default_response_headers(self):\n headers = {\n 'Allow': ', '.join(self.allowed_methods),\n }\n if len(self.renderer_classes) > 1:\n headers['Vary'] = 'Accept'\n return headers\n\n def http_method_not_allowed(self, request, *args, **kwargs):\n \"\"\"\n If `request.method` does not correspond to a handler method,\n determine what kind of exception to raise.\n \"\"\"\n raise exceptions.MethodNotAllowed(request.method)\n\n def permission_denied(self, request, message=None):\n \"\"\"\n If request is not permitted, determine what kind of exception to raise.\n \"\"\"\n if request.authenticators and not request.successful_authenticator:\n raise exceptions.NotAuthenticated()\n raise exceptions.PermissionDenied(detail=message)\n\n def throttled(self, request, wait):\n \"\"\"\n If request is throttled, determine what kind of exception to raise.\n \"\"\"\n raise exceptions.Throttled(wait)\n\n def get_authenticate_header(self, request):\n \"\"\"\n If a request is unauthenticated, determine the WWW-Authenticate\n header to use for 401 responses, if any.\n \"\"\"\n authenticators = self.get_authenticators()\n if authenticators:\n return authenticators[0].authenticate_header(request)\n\n def get_parser_context(self, http_request):\n \"\"\"\n Returns a dict that is passed through to Parser.parse(),\n as the `parser_context` keyword argument.\n \"\"\"\n # Note: Additionally `request` and `encoding` will also be added\n # to the context by the Request object.\n return {\n 'view': self,\n 'args': getattr(self, 'args', ()),\n 'kwargs': getattr(self, 'kwargs', {})\n }\n\n def get_renderer_context(self):\n \"\"\"\n Returns a dict that is passed through to Renderer.render(),\n as the `renderer_context` keyword argument.\n \"\"\"\n # Note: Additionally 'response' will also be added to the context,\n # by the Response object.\n return {\n 'view': self,\n 'args': getattr(self, 'args', ()),\n 'kwargs': getattr(self, 'kwargs', {}),\n 'request': getattr(self, 'request', None)\n }\n\n def get_exception_handler_context(self):\n \"\"\"\n Returns a dict that is passed through to EXCEPTION_HANDLER,\n as the `context` argument.\n \"\"\"\n return {\n 'view': self,\n 'args': getattr(self, 'args', ()),\n 'kwargs': getattr(self, 'kwargs', {}),\n 'request': getattr(self, 'request', None)\n }\n\n def get_view_name(self):\n \"\"\"\n Return the view name, as used in OPTIONS responses and in the\n browsable API.\n \"\"\"\n func = self.settings.VIEW_NAME_FUNCTION\n return func(self.__class__, getattr(self, 'suffix', None))\n\n def get_view_description(self, html=False):\n \"\"\"\n Return some descriptive text for the view, as used in OPTIONS responses\n and in the browsable API.\n \"\"\"\n func = self.settings.VIEW_DESCRIPTION_FUNCTION\n return func(self.__class__, html)\n\n # API policy instantiation methods\n\n def get_format_suffix(self, **kwargs):\n \"\"\"\n Determine if the request includes a '.json' style format suffix\n \"\"\"\n if self.settings.FORMAT_SUFFIX_KWARG:\n return kwargs.get(self.settings.FORMAT_SUFFIX_KWARG)\n\n def get_renderers(self):\n \"\"\"\n Instantiates and returns the list of renderers that this view can use.\n \"\"\"\n return [renderer() for renderer in self.renderer_classes]\n\n def get_parsers(self):\n \"\"\"\n Instantiates and returns the list of parsers that this view can use.\n \"\"\"\n return [parser() for parser in self.parser_classes]\n\n def get_authenticators(self):\n \"\"\"\n Instantiates and returns the list of authenticators that this view can use.\n \"\"\"\n return [auth() for auth in self.authentication_classes]\n\n def get_permissions(self):\n \"\"\"\n Instantiates and returns the list of permissions that this view requires.\n \"\"\"\n return [permission() for permission in self.permission_classes]\n\n def get_throttles(self):\n \"\"\"\n Instantiates and returns the list of throttles that this view uses.\n \"\"\"\n return [throttle() for throttle in self.throttle_classes]\n\n def get_content_negotiator(self):\n \"\"\"\n Instantiate and return the content negotiation class to use.\n \"\"\"\n if not getattr(self, '_negotiator', None):\n self._negotiator = self.content_negotiation_class()\n return self._negotiator\n\n def get_exception_handler(self):\n \"\"\"\n Returns the exception handler that this view uses.\n \"\"\"\n return self.settings.EXCEPTION_HANDLER\n\n # API policy implementation methods\n\n def perform_content_negotiation(self, request, force=False):\n \"\"\"\n Determine which renderer and media type to use render the response.\n \"\"\"\n renderers = self.get_renderers()\n conneg = self.get_content_negotiator()\n\n try:\n return conneg.select_renderer(request, renderers, self.format_kwarg)\n except Exception:\n if force:\n return (renderers[0], renderers[0].media_type)\n raise\n\n def perform_authentication(self, request):\n \"\"\"\n Perform authentication on the incoming request.\n\n Note that if you override this and simply 'pass', then authentication\n will instead be performed lazily, the first time either\n `request.user` or `request.auth` is accessed.\n \"\"\"\n request.user\n\n def check_permissions(self, request):\n \"\"\"\n Check if the request should be permitted.\n Raises an appropriate exception if the request is not permitted.\n \"\"\"\n for permission in self.get_permissions():\n if not permission.has_permission(request, self):\n self.permission_denied(\n request, message=getattr(permission, 'message', None)\n )\n\n def check_object_permissions(self, request, obj):\n \"\"\"\n Check if the request should be permitted for a given object.\n Raises an appropriate exception if the request is not permitted.\n \"\"\"\n for permission in self.get_permissions():\n if not permission.has_object_permission(request, self, obj):\n self.permission_denied(\n request, message=getattr(permission, 'message', None)\n )\n\n def check_throttles(self, request):\n \"\"\"\n Check if request should be throttled.\n Raises an appropriate exception if the request is throttled.\n \"\"\"\n for throttle in self.get_throttles():\n if not throttle.allow_request(request, self):\n self.throttled(request, throttle.wait())\n\n def determine_version(self, request, *args, **kwargs):\n \"\"\"\n If versioning is being used, then determine any API version for the\n incoming request. Returns a two-tuple of (version, versioning_scheme)\n \"\"\"\n if self.versioning_class is None:\n return (None, None)\n scheme = self.versioning_class()\n return (scheme.determine_version(request, *args, **kwargs), scheme)\n\n # Dispatch methods\n\n def initialize_request(self, request, *args, **kwargs):\n \"\"\"\n Returns the initial request object.\n \"\"\"\n parser_context = self.get_parser_context(request)\n\n return Request(\n request,\n parsers=self.get_parsers(),\n authenticators=self.get_authenticators(),\n negotiator=self.get_content_negotiator(),\n parser_context=parser_context\n )\n\n def initial(self, request, *args, **kwargs):\n \"\"\"\n Runs anything that needs to occur prior to calling the method handler.\n \"\"\"\n self.format_kwarg = self.get_format_suffix(**kwargs)\n\n # Perform content negotiation and store the accepted info on the request\n neg = self.perform_content_negotiation(request)\n request.accepted_renderer, request.accepted_media_type = neg\n\n # Determine the API version, if versioning is in use.\n version, scheme = self.determine_version(request, *args, **kwargs)\n request.version, request.versioning_scheme = version, scheme\n\n # Ensure that the incoming request is permitted\n self.perform_authentication(request)\n self.check_permissions(request)\n self.check_throttles(request)\n\n def finalize_response(self, request, response, *args, **kwargs):\n \"\"\"\n Returns the final response object.\n \"\"\"\n # Make the error obvious if a proper response is not returned\n assert isinstance(response, HttpResponseBase), (\n 'Expected a `Response`, `HttpResponse` or `HttpStreamingResponse` '\n 'to be returned from the view, but received a `%s`'\n % type(response)\n )\n\n if isinstance(response, Response):\n if not getattr(request, 'accepted_renderer', None):\n neg = self.perform_content_negotiation(request, force=True)\n request.accepted_renderer, request.accepted_media_type = neg\n\n response.accepted_renderer = request.accepted_renderer\n response.accepted_media_type = request.accepted_media_type\n response.renderer_context = self.get_renderer_context()\n\n for key, value in self.headers.items():\n response[key] = value\n\n return response\n\n def handle_exception(self, exc):\n \"\"\"\n Handle any exception that occurs, by returning an appropriate response,\n or re-raising the error.\n \"\"\"\n if isinstance(exc, (exceptions.NotAuthenticated,\n exceptions.AuthenticationFailed)):\n # WWW-Authenticate header for 401 responses, else coerce to 403\n auth_header = self.get_authenticate_header(self.request)\n\n if auth_header:\n exc.auth_header = auth_header\n else:\n exc.status_code = status.HTTP_403_FORBIDDEN\n\n exception_handler = self.get_exception_handler()\n\n context = self.get_exception_handler_context()\n response = exception_handler(exc, context)\n\n if response is None:\n self.raise_uncaught_exception(exc)\n\n response.exception = True\n return response\n\n def raise_uncaught_exception(self, exc):\n if settings.DEBUG:\n request = self.request\n renderer_format = getattr(request.accepted_renderer, 'format')\n use_plaintext_traceback = renderer_format not in ('html', 'api', 'admin')\n request.force_plaintext_errors(use_plaintext_traceback)\n raise\n\n # Note: Views are made CSRF exempt from within `as_view` as to prevent\n # accidental removal of this exemption in cases where `dispatch` needs to\n # be overridden.\n def dispatch(self, request, *args, **kwargs):\n \"\"\"\n `.dispatch()` is pretty much the same as Django's regular dispatch,\n but with extra hooks for startup, finalize, and exception handling.\n \"\"\"\n self.args = args\n self.kwargs = kwargs\n request = self.initialize_request(request, *args, **kwargs)\n self.request = request\n self.headers = self.default_response_headers # deprecate?\n\n try:\n self.initial(request, *args, **kwargs)\n\n # Get the appropriate handler method\n if request.method.lower() in self.http_method_names:\n handler = getattr(self, request.method.lower(),\n self.http_method_not_allowed)\n else:\n handler = self.http_method_not_allowed\n\n response = handler(request, *args, **kwargs)\n\n except Exception as exc:\n response = self.handle_exception(exc)\n\n self.response = self.finalize_response(request, response, *args, **kwargs)\n return self.response\n\n def options(self, request, *args, **kwargs):\n \"\"\"\n Handler method for HTTP 'OPTIONS' request.\n \"\"\"\n if self.metadata_class is None:\n return self.http_method_not_allowed(request, *args, **kwargs)\n data = self.metadata_class().determine_metadata(request, self)\n return Response(data, status=status.HTTP_200_OK)\n", "path": "rest_framework/views.py" } ]
diff --git a/rest_framework/views.py b/rest_framework/views.py index 92911e8df3..2cb926ae40 100644 --- a/rest_framework/views.py +++ b/rest_framework/views.py @@ -290,7 +290,7 @@ def get_exception_handler(self): """ Returns the exception handler that this view uses. """ - return api_settings.EXCEPTION_HANDLER + return self.settings.EXCEPTION_HANDLER # API policy implementation methods diff --git a/tests/test_views.py b/tests/test_views.py index adafa1cd7e..f0919e8461 100644 --- a/tests/test_views.py +++ b/tests/test_views.py @@ -8,7 +8,7 @@ from rest_framework import status from rest_framework.decorators import api_view from rest_framework.response import Response -from rest_framework.settings import api_settings +from rest_framework.settings import APISettings, api_settings from rest_framework.test import APIRequestFactory from rest_framework.views import APIView @@ -45,6 +45,19 @@ def get(self, request, *args, **kwargs): raise Exception +def custom_handler(exc, context): + if isinstance(exc, SyntaxError): + return Response({'error': 'SyntaxError'}, status=400) + return Response({'error': 'UnknownError'}, status=500) + + +class OverridenSettingsView(APIView): + settings = APISettings({'EXCEPTION_HANDLER': custom_handler}) + + def get(self, request, *args, **kwargs): + raise SyntaxError('request is invalid syntax') + + @api_view(['GET']) def error_view(request): raise Exception @@ -118,3 +131,14 @@ def test_function_based_view_exception_handler(self): expected = 'Error!' assert response.status_code == status.HTTP_400_BAD_REQUEST assert response.data == expected + + +class TestCustomSettings(TestCase): + def setUp(self): + self.view = OverridenSettingsView.as_view() + + def test_get_exception_handler(self): + request = factory.get('/', content_type='application/json') + response = self.view(request) + assert response.status_code == 400 + assert response.data == {'error': 'SyntaxError'}
EXCEPTION_HANDLER on View.settings not respected ## Checklist - [x] I have verified that that issue exists against the `master` branch of Django REST framework. - [x] I have searched for similar issues in both open and closed tickets and cannot find a duplicate. - [x] This is not a usage question. (Those should be directed to the [discussion group](https://groups.google.com/forum/#!forum/django-rest-framework) instead.) - [x] This cannot be dealt with as a third party library. (We prefer new functionality to be [in the form of third party libraries](http://www.django-rest-framework.org/topics/third-party-resources/#about-third-party-packages) where possible.) - [x] I have reduced the issue to the simplest possible case. - [x] I have included a failing test as a pull request. (If you are unable to do so we can still accept the issue.) ## Steps to reproduce 1. Create a View with a custom `ApiSettings` with `EXCEPTION_HANDLER` specified 1. Trigger an exception and notice that the custom exception handler isn't triggered because the APIView class only ever uses `rest_framework.settings.api_settings`. ## Expected behavior 1. View uses `self.settings` since views can override settings objects so easily. ## Actual behavior 1. Uses default handler instead ## Extras The 3.4 series used `self.settings.EXCEPTION_HANDLER` but 3.5 moved to use `get_exception_handler` which started using `rest_framework.settings.api_settings`.
Textualize__textual-2713
[ { "content": "\"\"\"Provides a tree widget.\"\"\"\n\nfrom __future__ import annotations\n\nfrom dataclasses import dataclass\nfrom typing import TYPE_CHECKING, ClassVar, Generic, Iterable, NewType, TypeVar, cast\n\nimport rich.repr\nfrom rich.style import NULL_STYLE, Style\nfrom rich.text import Text, TextType\n\nfrom .. import events\nfrom .._cache import LRUCache\nfrom .._immutable_sequence_view import ImmutableSequenceView\nfrom .._loop import loop_last\nfrom .._segment_tools import line_pad\nfrom ..binding import Binding, BindingType\nfrom ..geometry import Region, Size, clamp\nfrom ..message import Message\nfrom ..reactive import reactive, var\nfrom ..scroll_view import ScrollView\nfrom ..strip import Strip\n\nif TYPE_CHECKING:\n from typing_extensions import Self, TypeAlias\n\nNodeID = NewType(\"NodeID\", int)\n\"\"\"The type of an ID applied to a [TreeNode][textual.widgets._tree.TreeNode].\"\"\"\n\nTreeDataType = TypeVar(\"TreeDataType\")\n\"\"\"The type of the data for a given instance of a [Tree][textual.widgets.Tree].\"\"\"\n\nEventTreeDataType = TypeVar(\"EventTreeDataType\")\n\"\"\"The type of the data for a given instance of a [Tree][textual.widgets.Tree].\n\nSimilar to [TreeDataType][textual.widgets._tree.TreeDataType] but used for\n``Tree`` messages.\n\"\"\"\n\nLineCacheKey: TypeAlias = \"tuple[int | tuple, ...]\"\n\nTOGGLE_STYLE = Style.from_meta({\"toggle\": True})\n\n\n@dataclass\nclass _TreeLine(Generic[TreeDataType]):\n path: list[TreeNode[TreeDataType]]\n last: bool\n\n @property\n def node(self) -> TreeNode[TreeDataType]:\n \"\"\"The node associated with this line.\"\"\"\n return self.path[-1]\n\n def _get_guide_width(self, guide_depth: int, show_root: bool) -> int:\n \"\"\"Get the cell width of the line as rendered.\n\n Args:\n guide_depth: The guide depth (cells in the indentation).\n\n Returns:\n Width in cells.\n \"\"\"\n if show_root:\n return 2 + (max(0, len(self.path) - 1)) * guide_depth\n else:\n guides = 2\n if len(self.path) > 1:\n guides += (len(self.path) - 1) * guide_depth\n\n return guides\n\n\nclass TreeNodes(ImmutableSequenceView[\"TreeNode[TreeDataType]\"]):\n \"\"\"An immutable collection of `TreeNode`.\"\"\"\n\n\[email protected]\nclass TreeNode(Generic[TreeDataType]):\n \"\"\"An object that represents a \"node\" in a tree control.\"\"\"\n\n def __init__(\n self,\n tree: Tree[TreeDataType],\n parent: TreeNode[TreeDataType] | None,\n id: NodeID,\n label: Text,\n data: TreeDataType | None = None,\n *,\n expanded: bool = True,\n allow_expand: bool = True,\n ) -> None:\n \"\"\"Initialise the node.\n\n Args:\n tree: The tree that the node is being attached to.\n parent: The parent node that this node is being attached to.\n id: The ID of the node.\n label: The label for the node.\n data: Optional data to associate with the node.\n expanded: Should the node be attached in an expanded state?\n allow_expand: Should the node allow being expanded by the user?\n \"\"\"\n self._tree = tree\n self._parent = parent\n self._id = id\n self._label = tree.process_label(label)\n self.data = data\n \"\"\"Optional data associated with the tree node.\"\"\"\n self._expanded = expanded\n self._children: list[TreeNode[TreeDataType]] = []\n\n self._hover_ = False\n self._selected_ = False\n self._allow_expand = allow_expand\n self._updates: int = 0\n self._line: int = -1\n\n def __rich_repr__(self) -> rich.repr.Result:\n yield self._label.plain\n yield self.data\n\n def _reset(self) -> None:\n self._hover_ = False\n self._selected_ = False\n self._updates += 1\n\n @property\n def tree(self) -> Tree[TreeDataType]:\n \"\"\"The tree that this node is attached to.\"\"\"\n return self._tree\n\n @property\n def children(self) -> TreeNodes[TreeDataType]:\n \"\"\"The child nodes of a TreeNode.\"\"\"\n return TreeNodes(self._children)\n\n @property\n def line(self) -> int:\n \"\"\"The line number for this node, or -1 if it is not displayed.\"\"\"\n return self._line\n\n @property\n def _hover(self) -> bool:\n \"\"\"Check if the mouse is over the node.\"\"\"\n return self._hover_\n\n @_hover.setter\n def _hover(self, hover: bool) -> None:\n self._updates += 1\n self._hover_ = hover\n\n @property\n def _selected(self) -> bool:\n \"\"\"Check if the node is selected.\"\"\"\n return self._selected_\n\n @_selected.setter\n def _selected(self, selected: bool) -> None:\n self._updates += 1\n self._selected_ = selected\n\n @property\n def id(self) -> NodeID:\n \"\"\"The ID of the node.\"\"\"\n return self._id\n\n @property\n def parent(self) -> TreeNode[TreeDataType] | None:\n \"\"\"The parent of the node.\"\"\"\n return self._parent\n\n @property\n def is_expanded(self) -> bool:\n \"\"\"Is the node expanded?\"\"\"\n return self._expanded\n\n @property\n def is_last(self) -> bool:\n \"\"\"Is this the last child node of its parent?\"\"\"\n if self._parent is None:\n return True\n return bool(\n self._parent._children and self._parent._children[-1] == self,\n )\n\n @property\n def is_root(self) -> bool:\n \"\"\"Is this node the root of the tree?\"\"\"\n return self == self._tree.root\n\n @property\n def allow_expand(self) -> bool:\n \"\"\"Is this node allowed to expand?\"\"\"\n return self._allow_expand\n\n @allow_expand.setter\n def allow_expand(self, allow_expand: bool) -> None:\n self._allow_expand = allow_expand\n self._updates += 1\n\n def _expand(self, expand_all: bool) -> None:\n \"\"\"Mark the node as expanded (its children are shown).\n\n Args:\n expand_all: If `True` expand all offspring at all depths.\n \"\"\"\n self._expanded = True\n self._updates += 1\n self._tree.post_message(Tree.NodeExpanded(self))\n if expand_all:\n for child in self.children:\n child._expand(expand_all)\n\n def expand(self) -> Self:\n \"\"\"Expand the node (show its children).\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._expand(False)\n self._tree._invalidate()\n return self\n\n def expand_all(self) -> Self:\n \"\"\"Expand the node (show its children) and all those below it.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._expand(True)\n self._tree._invalidate()\n return self\n\n def _collapse(self, collapse_all: bool) -> None:\n \"\"\"Mark the node as collapsed (its children are hidden).\n\n Args:\n collapse_all: If `True` collapse all offspring at all depths.\n \"\"\"\n self._expanded = False\n self._updates += 1\n self._tree.post_message(Tree.NodeCollapsed(self))\n if collapse_all:\n for child in self.children:\n child._collapse(collapse_all)\n\n def collapse(self) -> Self:\n \"\"\"Collapse the node (hide its children).\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._collapse(False)\n self._tree._invalidate()\n return self\n\n def collapse_all(self) -> Self:\n \"\"\"Collapse the node (hide its children) and all those below it.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._collapse(True)\n self._tree._invalidate()\n return self\n\n def toggle(self) -> Self:\n \"\"\"Toggle the node's expanded state.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n if self._expanded:\n self.collapse()\n else:\n self.expand()\n return self\n\n def toggle_all(self) -> Self:\n \"\"\"Toggle the node's expanded state and make all those below it match.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n if self._expanded:\n self.collapse_all()\n else:\n self.expand_all()\n return self\n\n @property\n def label(self) -> TextType:\n \"\"\"The label for the node.\"\"\"\n return self._label\n\n @label.setter\n def label(self, new_label: TextType) -> None:\n self.set_label(new_label)\n\n def set_label(self, label: TextType) -> None:\n \"\"\"Set a new label for the node.\n\n Args:\n label: A ``str`` or ``Text`` object with the new label.\n \"\"\"\n self._updates += 1\n text_label = self._tree.process_label(label)\n self._label = text_label\n\n def add(\n self,\n label: TextType,\n data: TreeDataType | None = None,\n *,\n expand: bool = False,\n allow_expand: bool = True,\n ) -> TreeNode[TreeDataType]:\n \"\"\"Add a node to the sub-tree.\n\n Args:\n label: The new node's label.\n data: Data associated with the new node.\n expand: Node should be expanded.\n allow_expand: Allow use to expand the node via keyboard or mouse.\n\n Returns:\n A new Tree node\n \"\"\"\n text_label = self._tree.process_label(label)\n node = self._tree._add_node(self, text_label, data)\n node._expanded = expand\n node._allow_expand = allow_expand\n self._updates += 1\n self._children.append(node)\n self._tree._invalidate()\n return node\n\n def add_leaf(\n self, label: TextType, data: TreeDataType | None = None\n ) -> TreeNode[TreeDataType]:\n \"\"\"Add a 'leaf' node (a node that can not expand).\n\n Args:\n label: Label for the node.\n data: Optional data.\n\n Returns:\n New node.\n \"\"\"\n node = self.add(label, data, expand=False, allow_expand=False)\n return node\n\n class RemoveRootError(Exception):\n \"\"\"Exception raised when trying to remove a tree's root node.\"\"\"\n\n def _remove_children(self) -> None:\n \"\"\"Remove child nodes of this node.\n\n Note:\n This is the internal support method for `remove_children`. Call\n `remove_children` to ensure the tree gets refreshed.\n \"\"\"\n for child in reversed(self._children):\n child._remove()\n\n def _remove(self) -> None:\n \"\"\"Remove the current node and all its children.\n\n Note:\n This is the internal support method for `remove`. Call `remove`\n to ensure the tree gets refreshed.\n \"\"\"\n self._remove_children()\n assert self._parent is not None\n del self._parent._children[self._parent._children.index(self)]\n del self._tree._tree_nodes[self.id]\n\n def remove(self) -> None:\n \"\"\"Remove this node from the tree.\n\n Raises:\n TreeNode.RemoveRootError: If there is an attempt to remove the root.\n \"\"\"\n if self.is_root:\n raise self.RemoveRootError(\"Attempt to remove the root node of a Tree.\")\n self._remove()\n self._tree._invalidate()\n\n def remove_children(self) -> None:\n \"\"\"Remove any child nodes of this node.\"\"\"\n self._remove_children()\n self._tree._invalidate()\n\n\nclass Tree(Generic[TreeDataType], ScrollView, can_focus=True):\n \"\"\"A widget for displaying and navigating data in a tree.\"\"\"\n\n BINDINGS: ClassVar[list[BindingType]] = [\n Binding(\"enter\", \"select_cursor\", \"Select\", show=False),\n Binding(\"space\", \"toggle_node\", \"Toggle\", show=False),\n Binding(\"up\", \"cursor_up\", \"Cursor Up\", show=False),\n Binding(\"down\", \"cursor_down\", \"Cursor Down\", show=False),\n ]\n \"\"\"\n | Key(s) | Description |\n | :- | :- |\n | enter | Select the current item. |\n | space | Toggle the expand/collapsed space of the current item. |\n | up | Move the cursor up. |\n | down | Move the cursor down. |\n \"\"\"\n\n COMPONENT_CLASSES: ClassVar[set[str]] = {\n \"tree--cursor\",\n \"tree--guides\",\n \"tree--guides-hover\",\n \"tree--guides-selected\",\n \"tree--highlight\",\n \"tree--highlight-line\",\n \"tree--label\",\n }\n \"\"\"\n | Class | Description |\n | :- | :- |\n | `tree--cursor` | Targets the cursor. |\n | `tree--guides` | Targets the indentation guides. |\n | `tree--guides-hover` | Targets the indentation guides under the cursor. |\n | `tree--guides-selected` | Targets the indentation guides that are selected. |\n | `tree--highlight` | Targets the highlighted items. |\n | `tree--highlight-line` | Targets the lines under the cursor. |\n | `tree--label` | Targets the (text) labels of the items. |\n \"\"\"\n\n DEFAULT_CSS = \"\"\"\n Tree {\n background: $panel;\n color: $text;\n }\n Tree > .tree--label {\n\n }\n Tree > .tree--guides {\n color: $success-darken-3;\n }\n\n Tree > .tree--guides-hover {\n color: $success;\n text-style: bold;\n }\n\n Tree > .tree--guides-selected {\n color: $warning;\n text-style: bold;\n }\n\n Tree > .tree--cursor {\n background: $secondary-darken-2;\n color: $text;\n text-style: bold;\n }\n\n Tree:focus > .tree--cursor {\n background: $secondary;\n }\n\n Tree > .tree--highlight {\n text-style: underline;\n }\n\n Tree > .tree--highlight-line {\n background: $boost;\n }\n \"\"\"\n\n show_root = reactive(True)\n \"\"\"Show the root of the tree.\"\"\"\n hover_line = var(-1)\n \"\"\"The line number under the mouse pointer, or -1 if not under the mouse pointer.\"\"\"\n cursor_line = var(-1, always_update=True)\n \"\"\"The line with the cursor, or -1 if no cursor.\"\"\"\n show_guides = reactive(True)\n \"\"\"Enable display of tree guide lines.\"\"\"\n guide_depth = reactive(4, init=False)\n \"\"\"The indent depth of tree nodes.\"\"\"\n auto_expand = var(True)\n \"\"\"Auto expand tree nodes when clicked.\"\"\"\n\n LINES: dict[str, tuple[str, str, str, str]] = {\n \"default\": (\n \" \",\n \"│ \",\n \"└─\",\n \"├─\",\n ),\n \"bold\": (\n \" \",\n \"┃ \",\n \"┗━\",\n \"┣━\",\n ),\n \"double\": (\n \" \",\n \"║ \",\n \"╚═\",\n \"╠═\",\n ),\n }\n\n class NodeCollapsed(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is collapsed.\n\n Can be handled using `on_tree_node_collapsed` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was collapsed.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n class NodeExpanded(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is expanded.\n\n Can be handled using `on_tree_node_expanded` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was expanded.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n class NodeHighlighted(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is highlighted.\n\n Can be handled using `on_tree_node_highlighted` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was highlighted.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n class NodeSelected(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is selected.\n\n Can be handled using `on_tree_node_selected` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was selected.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n def __init__(\n self,\n label: TextType,\n data: TreeDataType | None = None,\n *,\n name: str | None = None,\n id: str | None = None,\n classes: str | None = None,\n disabled: bool = False,\n ) -> None:\n \"\"\"Initialise a Tree.\n\n Args:\n label: The label of the root node of the tree.\n data: The optional data to associate with the root node of the tree.\n name: The name of the Tree.\n id: The ID of the tree in the DOM.\n classes: The CSS classes of the tree.\n disabled: Whether the tree is disabled or not.\n \"\"\"\n\n super().__init__(name=name, id=id, classes=classes, disabled=disabled)\n\n text_label = self.process_label(label)\n\n self._updates = 0\n self._tree_nodes: dict[NodeID, TreeNode[TreeDataType]] = {}\n self._current_id = 0\n self.root = self._add_node(None, text_label, data)\n \"\"\"The root node of the tree.\"\"\"\n self._line_cache: LRUCache[LineCacheKey, Strip] = LRUCache(1024)\n self._tree_lines_cached: list[_TreeLine] | None = None\n self._cursor_node: TreeNode[TreeDataType] | None = None\n\n @property\n def cursor_node(self) -> TreeNode[TreeDataType] | None:\n \"\"\"The currently selected node, or ``None`` if no selection.\"\"\"\n return self._cursor_node\n\n @property\n def last_line(self) -> int:\n \"\"\"The index of the last line.\"\"\"\n return len(self._tree_lines) - 1\n\n def process_label(self, label: TextType) -> Text:\n \"\"\"Process a `str` or `Text` value into a label.\n\n Maybe overridden in a subclass to change how labels are rendered.\n\n Args:\n label: Label.\n\n Returns:\n A Rich Text object.\n \"\"\"\n if isinstance(label, str):\n text_label = Text.from_markup(label)\n else:\n text_label = label\n first_line = text_label.split()[0]\n return first_line\n\n def _add_node(\n self,\n parent: TreeNode[TreeDataType] | None,\n label: Text,\n data: TreeDataType | None,\n expand: bool = False,\n ) -> TreeNode[TreeDataType]:\n node = TreeNode(self, parent, self._new_id(), label, data, expanded=expand)\n self._tree_nodes[node._id] = node\n self._updates += 1\n return node\n\n def render_label(\n self, node: TreeNode[TreeDataType], base_style: Style, style: Style\n ) -> Text:\n \"\"\"Render a label for the given node. Override this to modify how labels are rendered.\n\n Args:\n node: A tree node.\n base_style: The base style of the widget.\n style: The additional style for the label.\n\n Returns:\n A Rich Text object containing the label.\n \"\"\"\n node_label = node._label.copy()\n node_label.stylize(style)\n\n if node._allow_expand:\n prefix = (\n \"▼ \" if node.is_expanded else \"▶ \",\n base_style + TOGGLE_STYLE,\n )\n else:\n prefix = (\"\", base_style)\n\n text = Text.assemble(prefix, node_label)\n return text\n\n def get_label_width(self, node: TreeNode[TreeDataType]) -> int:\n \"\"\"Get the width of the nodes label.\n\n The default behavior is to call `render_node` and return the cell length. This method may be\n overridden in a sub-class if it can be done more efficiently.\n\n Args:\n node: A node.\n\n Returns:\n Width in cells.\n \"\"\"\n label = self.render_label(node, NULL_STYLE, NULL_STYLE)\n return label.cell_len\n\n def clear(self) -> Self:\n \"\"\"Clear all nodes under root.\n\n Returns:\n The `Tree` instance.\n \"\"\"\n self._line_cache.clear()\n self._tree_lines_cached = None\n self._current_id = 0\n root_label = self.root._label\n root_data = self.root.data\n self.root = TreeNode(\n self,\n None,\n self._new_id(),\n root_label,\n root_data,\n expanded=True,\n )\n self._updates += 1\n self.refresh()\n return self\n\n def reset(self, label: TextType, data: TreeDataType | None = None) -> Self:\n \"\"\"Clear the tree and reset the root node.\n\n Args:\n label: The label for the root node.\n data: Optional data for the root node.\n\n Returns:\n The `Tree` instance.\n \"\"\"\n self.clear()\n self.root.label = label\n self.root.data = data\n return self\n\n def select_node(self, node: TreeNode[TreeDataType] | None) -> None:\n \"\"\"Move the cursor to the given node, or reset cursor.\n\n Args:\n node: A tree node, or None to reset cursor.\n \"\"\"\n self.cursor_line = -1 if node is None else node._line\n\n def get_node_at_line(self, line_no: int) -> TreeNode[TreeDataType] | None:\n \"\"\"Get the node for a given line.\n\n Args:\n line_no: A line number.\n\n Returns:\n A tree node, or ``None`` if there is no node at that line.\n \"\"\"\n try:\n line = self._tree_lines[line_no]\n except IndexError:\n return None\n else:\n return line.node\n\n class UnknownNodeID(Exception):\n \"\"\"Exception raised when referring to an unknown `TreeNode` ID.\"\"\"\n\n def get_node_by_id(self, node_id: NodeID) -> TreeNode[TreeDataType]:\n \"\"\"Get a tree node by its ID.\n\n Args:\n node_id: The ID of the node to get.\n\n Returns:\n The node associated with that ID.\n\n Raises:\n Tree.UnknownID: Raised if the `TreeNode` ID is unknown.\n \"\"\"\n try:\n return self._tree_nodes[node_id]\n except KeyError:\n raise self.UnknownNodeID(f\"Unknown NodeID ({node_id}) in tree\") from None\n\n def validate_cursor_line(self, value: int) -> int:\n \"\"\"Prevent cursor line from going outside of range.\n\n Args:\n value: The value to test.\n\n Return:\n A valid version of the given value.\n \"\"\"\n return clamp(value, 0, len(self._tree_lines) - 1)\n\n def validate_guide_depth(self, value: int) -> int:\n \"\"\"Restrict guide depth to reasonable range.\n\n Args:\n value: The value to test.\n\n Return:\n A valid version of the given value.\n \"\"\"\n return clamp(value, 2, 10)\n\n def _invalidate(self) -> None:\n \"\"\"Invalidate caches.\"\"\"\n self._line_cache.clear()\n self._tree_lines_cached = None\n self._updates += 1\n self.root._reset()\n self.refresh(layout=True)\n\n def _on_mouse_move(self, event: events.MouseMove):\n meta = event.style.meta\n if meta and \"line\" in meta:\n self.hover_line = meta[\"line\"]\n else:\n self.hover_line = -1\n\n def _new_id(self) -> NodeID:\n \"\"\"Create a new node ID.\n\n Returns:\n A unique node ID.\n \"\"\"\n id = self._current_id\n self._current_id += 1\n return NodeID(id)\n\n def _get_node(self, line: int) -> TreeNode[TreeDataType] | None:\n try:\n tree_line = self._tree_lines[line]\n except IndexError:\n return None\n else:\n return tree_line.node\n\n def _get_label_region(self, line: int) -> Region | None:\n \"\"\"Returns the region occupied by the label of the node at line `line`.\n\n This can be used, e.g., when scrolling to that line such that the label\n is visible after the scroll.\n\n Args:\n line: A line number.\n\n Returns:\n The region occupied by the label, or `None` if the\n line is not in the tree.\n \"\"\"\n try:\n tree_line = self._tree_lines[line]\n except IndexError:\n return None\n region_x = tree_line._get_guide_width(self.guide_depth, self.show_root)\n region_width = self.get_label_width(tree_line.node)\n return Region(region_x, line, region_width, 1)\n\n def watch_hover_line(self, previous_hover_line: int, hover_line: int) -> None:\n previous_node = self._get_node(previous_hover_line)\n if previous_node is not None:\n self._refresh_node(previous_node)\n previous_node._hover = False\n\n node = self._get_node(hover_line)\n if node is not None:\n self._refresh_node(node)\n node._hover = True\n\n def watch_cursor_line(self, previous_line: int, line: int) -> None:\n previous_node = self._get_node(previous_line)\n if previous_node is not None:\n self._refresh_node(previous_node)\n previous_node._selected = False\n self._cursor_node = None\n\n node = self._get_node(line)\n if node is not None:\n self._refresh_node(node)\n node._selected = True\n self._cursor_node = node\n if previous_node != node:\n self.post_message(self.NodeHighlighted(node))\n else:\n self._cursor_node = None\n\n def watch_guide_depth(self, guide_depth: int) -> None:\n self._invalidate()\n\n def watch_show_root(self, show_root: bool) -> None:\n self.cursor_line = -1\n self._invalidate()\n\n def scroll_to_line(self, line: int) -> None:\n \"\"\"Scroll to the given line.\n\n Args:\n line: A line number.\n \"\"\"\n region = self._get_label_region(line)\n if region is not None:\n self.scroll_to_region(region)\n\n def scroll_to_node(self, node: TreeNode[TreeDataType]) -> None:\n \"\"\"Scroll to the given node.\n\n Args:\n node: Node to scroll in to view.\n \"\"\"\n line = node._line\n if line != -1:\n self.scroll_to_line(line)\n\n def refresh_line(self, line: int) -> None:\n \"\"\"Refresh (repaint) a given line in the tree.\n\n Args:\n line: Line number.\n \"\"\"\n region = Region(0, line - self.scroll_offset.y, self.size.width, 1)\n self.refresh(region)\n\n def _refresh_node_line(self, line: int) -> None:\n node = self._get_node(line)\n if node is not None:\n self._refresh_node(node)\n\n def _refresh_node(self, node: TreeNode[TreeDataType]) -> None:\n \"\"\"Refresh a node and all its children.\n\n Args:\n node: A tree node.\n \"\"\"\n scroll_y = self.scroll_offset.y\n height = self.size.height\n visible_lines = self._tree_lines[scroll_y : scroll_y + height]\n for line_no, line in enumerate(visible_lines, scroll_y):\n if node in line.path:\n self.refresh_line(line_no)\n\n @property\n def _tree_lines(self) -> list[_TreeLine]:\n if self._tree_lines_cached is None:\n self._build()\n assert self._tree_lines_cached is not None\n return self._tree_lines_cached\n\n async def _on_idle(self, event: events.Idle) -> None:\n \"\"\"Check tree needs a rebuild on idle.\"\"\"\n # Property calls build if required\n self._tree_lines\n\n def _build(self) -> None:\n \"\"\"Builds the tree by traversing nodes, and creating tree lines.\"\"\"\n\n TreeLine = _TreeLine\n lines: list[_TreeLine] = []\n add_line = lines.append\n\n root = self.root\n\n def add_node(\n path: list[TreeNode[TreeDataType]], node: TreeNode[TreeDataType], last: bool\n ) -> None:\n child_path = [*path, node]\n node._line = len(lines)\n add_line(TreeLine(child_path, last))\n if node._expanded:\n for last, child in loop_last(node._children):\n add_node(child_path, child, last)\n\n if self.show_root:\n add_node([], root, True)\n else:\n for node in self.root._children:\n add_node([], node, True)\n self._tree_lines_cached = lines\n\n guide_depth = self.guide_depth\n show_root = self.show_root\n get_label_width = self.get_label_width\n\n def get_line_width(line: _TreeLine) -> int:\n return get_label_width(line.node) + line._get_guide_width(\n guide_depth, show_root\n )\n\n if lines:\n width = max([get_line_width(line) for line in lines])\n else:\n width = self.size.width\n\n self.virtual_size = Size(width, len(lines))\n if self.cursor_line != -1:\n if self.cursor_node is not None:\n self.cursor_line = self.cursor_node._line\n if self.cursor_line >= len(lines):\n self.cursor_line = -1\n self.refresh()\n\n def render_lines(self, crop: Region) -> list[Strip]:\n self._pseudo_class_state = self.get_pseudo_class_state()\n return super().render_lines(crop)\n\n def render_line(self, y: int) -> Strip:\n width = self.size.width\n scroll_x, scroll_y = self.scroll_offset\n style = self.rich_style\n return self._render_line(\n y + scroll_y,\n scroll_x,\n scroll_x + width,\n style,\n )\n\n def _render_line(self, y: int, x1: int, x2: int, base_style: Style) -> Strip:\n tree_lines = self._tree_lines\n width = self.size.width\n\n if y >= len(tree_lines):\n return Strip.blank(width, base_style)\n\n line = tree_lines[y]\n\n is_hover = self.hover_line >= 0 and any(node._hover for node in line.path)\n\n cache_key = (\n y,\n is_hover,\n width,\n self._updates,\n self._pseudo_class_state,\n tuple(node._updates for node in line.path),\n )\n if cache_key in self._line_cache:\n strip = self._line_cache[cache_key]\n else:\n base_guide_style = self.get_component_rich_style(\n \"tree--guides\", partial=True\n )\n guide_hover_style = base_guide_style + self.get_component_rich_style(\n \"tree--guides-hover\", partial=True\n )\n guide_selected_style = base_guide_style + self.get_component_rich_style(\n \"tree--guides-selected\", partial=True\n )\n\n hover = line.path[0]._hover\n selected = line.path[0]._selected and self.has_focus\n\n def get_guides(style: Style) -> tuple[str, str, str, str]:\n \"\"\"Get the guide strings for a given style.\n\n Args:\n style: A Style object.\n\n Returns:\n Strings for space, vertical, terminator and cross.\n \"\"\"\n lines: tuple[Iterable[str], Iterable[str], Iterable[str], Iterable[str]]\n if self.show_guides:\n lines = self.LINES[\"default\"]\n if style.bold:\n lines = self.LINES[\"bold\"]\n elif style.underline2:\n lines = self.LINES[\"double\"]\n else:\n lines = (\" \", \" \", \" \", \" \")\n\n guide_depth = max(0, self.guide_depth - 2)\n guide_lines = tuple(\n f\"{characters[0]}{characters[1] * guide_depth} \"\n for characters in lines\n )\n return cast(\"tuple[str, str, str, str]\", guide_lines)\n\n if is_hover:\n line_style = self.get_component_rich_style(\"tree--highlight-line\")\n else:\n line_style = base_style\n\n guides = Text(style=line_style)\n guides_append = guides.append\n\n guide_style = base_guide_style\n for node in line.path[1:]:\n if hover:\n guide_style = guide_hover_style\n if selected:\n guide_style = guide_selected_style\n\n space, vertical, _, _ = get_guides(guide_style)\n guide = space if node.is_last else vertical\n if node != line.path[-1]:\n guides_append(guide, style=guide_style)\n hover = hover or node._hover\n selected = (selected or node._selected) and self.has_focus\n\n if len(line.path) > 1:\n _, _, terminator, cross = get_guides(guide_style)\n if line.last:\n guides.append(terminator, style=guide_style)\n else:\n guides.append(cross, style=guide_style)\n\n label_style = self.get_component_rich_style(\"tree--label\", partial=True)\n if self.hover_line == y:\n label_style += self.get_component_rich_style(\n \"tree--highlight\", partial=True\n )\n if self.cursor_line == y:\n label_style += self.get_component_rich_style(\n \"tree--cursor\", partial=False\n )\n\n label = self.render_label(line.path[-1], line_style, label_style).copy()\n label.stylize(Style(meta={\"node\": line.node._id, \"line\": y}))\n guides.append(label)\n\n segments = list(guides.render(self.app.console))\n pad_width = max(self.virtual_size.width, width)\n segments = line_pad(segments, 0, pad_width - guides.cell_len, line_style)\n strip = self._line_cache[cache_key] = Strip(segments)\n\n strip = strip.crop(x1, x2)\n return strip\n\n def _on_resize(self, event: events.Resize) -> None:\n self._line_cache.grow(event.size.height)\n self._invalidate()\n\n def _toggle_node(self, node: TreeNode[TreeDataType]) -> None:\n if not node.allow_expand:\n return\n if node.is_expanded:\n node.collapse()\n else:\n node.expand()\n\n async def _on_click(self, event: events.Click) -> None:\n meta = event.style.meta\n if \"line\" in meta:\n cursor_line = meta[\"line\"]\n if meta.get(\"toggle\", False):\n node = self.get_node_at_line(cursor_line)\n if node is not None:\n self._toggle_node(node)\n\n else:\n self.cursor_line = cursor_line\n await self.run_action(\"select_cursor\")\n\n def notify_style_update(self) -> None:\n self._invalidate()\n\n def action_cursor_up(self) -> None:\n \"\"\"Move the cursor up one node.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = self.last_line\n else:\n self.cursor_line -= 1\n self.scroll_to_line(self.cursor_line)\n\n def action_cursor_down(self) -> None:\n \"\"\"Move the cursor down one node.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = 0\n else:\n self.cursor_line += 1\n self.scroll_to_line(self.cursor_line)\n\n def action_page_down(self) -> None:\n \"\"\"Move the cursor down a page's-worth of nodes.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = 0\n self.cursor_line += self.scrollable_content_region.height - 1\n self.scroll_to_line(self.cursor_line)\n\n def action_page_up(self) -> None:\n \"\"\"Move the cursor up a page's-worth of nodes.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = self.last_line\n self.cursor_line -= self.scrollable_content_region.height - 1\n self.scroll_to_line(self.cursor_line)\n\n def action_scroll_home(self) -> None:\n \"\"\"Move the cursor to the top of the tree.\"\"\"\n self.cursor_line = 0\n self.scroll_to_line(self.cursor_line)\n\n def action_scroll_end(self) -> None:\n \"\"\"Move the cursor to the bottom of the tree.\n\n Note:\n Here bottom means vertically, not branch depth.\n \"\"\"\n self.cursor_line = self.last_line\n self.scroll_to_line(self.cursor_line)\n\n def action_toggle_node(self) -> None:\n \"\"\"Toggle the expanded state of the target node.\"\"\"\n try:\n line = self._tree_lines[self.cursor_line]\n except IndexError:\n pass\n else:\n self._toggle_node(line.path[-1])\n\n def action_select_cursor(self) -> None:\n \"\"\"Cause a select event for the target node.\n\n Note:\n If `auto_expand` is `True` use of this action on a non-leaf node\n will cause both an expand/collapse event to occur, as well as a\n selected event.\n \"\"\"\n try:\n line = self._tree_lines[self.cursor_line]\n except IndexError:\n pass\n else:\n node = line.path[-1]\n if self.auto_expand:\n self._toggle_node(node)\n self.post_message(self.NodeSelected(node))\n", "path": "src/textual/widgets/_tree.py" } ]
[ { "content": "\"\"\"Provides a tree widget.\"\"\"\n\nfrom __future__ import annotations\n\nfrom dataclasses import dataclass\nfrom typing import TYPE_CHECKING, ClassVar, Generic, Iterable, NewType, TypeVar, cast\n\nimport rich.repr\nfrom rich.style import NULL_STYLE, Style\nfrom rich.text import Text, TextType\n\nfrom .. import events\nfrom .._cache import LRUCache\nfrom .._immutable_sequence_view import ImmutableSequenceView\nfrom .._loop import loop_last\nfrom .._segment_tools import line_pad\nfrom ..binding import Binding, BindingType\nfrom ..geometry import Region, Size, clamp\nfrom ..message import Message\nfrom ..reactive import reactive, var\nfrom ..scroll_view import ScrollView\nfrom ..strip import Strip\n\nif TYPE_CHECKING:\n from typing_extensions import Self, TypeAlias\n\nNodeID = NewType(\"NodeID\", int)\n\"\"\"The type of an ID applied to a [TreeNode][textual.widgets._tree.TreeNode].\"\"\"\n\nTreeDataType = TypeVar(\"TreeDataType\")\n\"\"\"The type of the data for a given instance of a [Tree][textual.widgets.Tree].\"\"\"\n\nEventTreeDataType = TypeVar(\"EventTreeDataType\")\n\"\"\"The type of the data for a given instance of a [Tree][textual.widgets.Tree].\n\nSimilar to [TreeDataType][textual.widgets._tree.TreeDataType] but used for\n``Tree`` messages.\n\"\"\"\n\nLineCacheKey: TypeAlias = \"tuple[int | tuple, ...]\"\n\nTOGGLE_STYLE = Style.from_meta({\"toggle\": True})\n\n\n@dataclass\nclass _TreeLine(Generic[TreeDataType]):\n path: list[TreeNode[TreeDataType]]\n last: bool\n\n @property\n def node(self) -> TreeNode[TreeDataType]:\n \"\"\"The node associated with this line.\"\"\"\n return self.path[-1]\n\n def _get_guide_width(self, guide_depth: int, show_root: bool) -> int:\n \"\"\"Get the cell width of the line as rendered.\n\n Args:\n guide_depth: The guide depth (cells in the indentation).\n\n Returns:\n Width in cells.\n \"\"\"\n if show_root:\n return 2 + (max(0, len(self.path) - 1)) * guide_depth\n else:\n guides = 2\n if len(self.path) > 1:\n guides += (len(self.path) - 1) * guide_depth\n\n return guides\n\n\nclass TreeNodes(ImmutableSequenceView[\"TreeNode[TreeDataType]\"]):\n \"\"\"An immutable collection of `TreeNode`.\"\"\"\n\n\[email protected]\nclass TreeNode(Generic[TreeDataType]):\n \"\"\"An object that represents a \"node\" in a tree control.\"\"\"\n\n def __init__(\n self,\n tree: Tree[TreeDataType],\n parent: TreeNode[TreeDataType] | None,\n id: NodeID,\n label: Text,\n data: TreeDataType | None = None,\n *,\n expanded: bool = True,\n allow_expand: bool = True,\n ) -> None:\n \"\"\"Initialise the node.\n\n Args:\n tree: The tree that the node is being attached to.\n parent: The parent node that this node is being attached to.\n id: The ID of the node.\n label: The label for the node.\n data: Optional data to associate with the node.\n expanded: Should the node be attached in an expanded state?\n allow_expand: Should the node allow being expanded by the user?\n \"\"\"\n self._tree = tree\n self._parent = parent\n self._id = id\n self._label = tree.process_label(label)\n self.data = data\n \"\"\"Optional data associated with the tree node.\"\"\"\n self._expanded = expanded\n self._children: list[TreeNode[TreeDataType]] = []\n\n self._hover_ = False\n self._selected_ = False\n self._allow_expand = allow_expand\n self._updates: int = 0\n self._line: int = -1\n\n def __rich_repr__(self) -> rich.repr.Result:\n yield self._label.plain\n yield self.data\n\n def _reset(self) -> None:\n self._hover_ = False\n self._selected_ = False\n self._updates += 1\n\n @property\n def tree(self) -> Tree[TreeDataType]:\n \"\"\"The tree that this node is attached to.\"\"\"\n return self._tree\n\n @property\n def children(self) -> TreeNodes[TreeDataType]:\n \"\"\"The child nodes of a TreeNode.\"\"\"\n return TreeNodes(self._children)\n\n @property\n def line(self) -> int:\n \"\"\"The line number for this node, or -1 if it is not displayed.\"\"\"\n return self._line\n\n @property\n def _hover(self) -> bool:\n \"\"\"Check if the mouse is over the node.\"\"\"\n return self._hover_\n\n @_hover.setter\n def _hover(self, hover: bool) -> None:\n self._updates += 1\n self._hover_ = hover\n\n @property\n def _selected(self) -> bool:\n \"\"\"Check if the node is selected.\"\"\"\n return self._selected_\n\n @_selected.setter\n def _selected(self, selected: bool) -> None:\n self._updates += 1\n self._selected_ = selected\n\n @property\n def id(self) -> NodeID:\n \"\"\"The ID of the node.\"\"\"\n return self._id\n\n @property\n def parent(self) -> TreeNode[TreeDataType] | None:\n \"\"\"The parent of the node.\"\"\"\n return self._parent\n\n @property\n def is_expanded(self) -> bool:\n \"\"\"Is the node expanded?\"\"\"\n return self._expanded\n\n @property\n def is_last(self) -> bool:\n \"\"\"Is this the last child node of its parent?\"\"\"\n if self._parent is None:\n return True\n return bool(\n self._parent._children and self._parent._children[-1] == self,\n )\n\n @property\n def is_root(self) -> bool:\n \"\"\"Is this node the root of the tree?\"\"\"\n return self == self._tree.root\n\n @property\n def allow_expand(self) -> bool:\n \"\"\"Is this node allowed to expand?\"\"\"\n return self._allow_expand\n\n @allow_expand.setter\n def allow_expand(self, allow_expand: bool) -> None:\n self._allow_expand = allow_expand\n self._updates += 1\n\n def _expand(self, expand_all: bool) -> None:\n \"\"\"Mark the node as expanded (its children are shown).\n\n Args:\n expand_all: If `True` expand all offspring at all depths.\n \"\"\"\n self._expanded = True\n self._updates += 1\n self._tree.post_message(Tree.NodeExpanded(self))\n if expand_all:\n for child in self.children:\n child._expand(expand_all)\n\n def expand(self) -> Self:\n \"\"\"Expand the node (show its children).\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._expand(False)\n self._tree._invalidate()\n return self\n\n def expand_all(self) -> Self:\n \"\"\"Expand the node (show its children) and all those below it.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._expand(True)\n self._tree._invalidate()\n return self\n\n def _collapse(self, collapse_all: bool) -> None:\n \"\"\"Mark the node as collapsed (its children are hidden).\n\n Args:\n collapse_all: If `True` collapse all offspring at all depths.\n \"\"\"\n self._expanded = False\n self._updates += 1\n self._tree.post_message(Tree.NodeCollapsed(self))\n if collapse_all:\n for child in self.children:\n child._collapse(collapse_all)\n\n def collapse(self) -> Self:\n \"\"\"Collapse the node (hide its children).\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._collapse(False)\n self._tree._invalidate()\n return self\n\n def collapse_all(self) -> Self:\n \"\"\"Collapse the node (hide its children) and all those below it.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n self._collapse(True)\n self._tree._invalidate()\n return self\n\n def toggle(self) -> Self:\n \"\"\"Toggle the node's expanded state.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n if self._expanded:\n self.collapse()\n else:\n self.expand()\n return self\n\n def toggle_all(self) -> Self:\n \"\"\"Toggle the node's expanded state and make all those below it match.\n\n Returns:\n The `TreeNode` instance.\n \"\"\"\n if self._expanded:\n self.collapse_all()\n else:\n self.expand_all()\n return self\n\n @property\n def label(self) -> TextType:\n \"\"\"The label for the node.\"\"\"\n return self._label\n\n @label.setter\n def label(self, new_label: TextType) -> None:\n self.set_label(new_label)\n\n def set_label(self, label: TextType) -> None:\n \"\"\"Set a new label for the node.\n\n Args:\n label: A ``str`` or ``Text`` object with the new label.\n \"\"\"\n self._updates += 1\n text_label = self._tree.process_label(label)\n self._label = text_label\n self._tree.call_later(self._tree._refresh_node, self)\n\n def add(\n self,\n label: TextType,\n data: TreeDataType | None = None,\n *,\n expand: bool = False,\n allow_expand: bool = True,\n ) -> TreeNode[TreeDataType]:\n \"\"\"Add a node to the sub-tree.\n\n Args:\n label: The new node's label.\n data: Data associated with the new node.\n expand: Node should be expanded.\n allow_expand: Allow use to expand the node via keyboard or mouse.\n\n Returns:\n A new Tree node\n \"\"\"\n text_label = self._tree.process_label(label)\n node = self._tree._add_node(self, text_label, data)\n node._expanded = expand\n node._allow_expand = allow_expand\n self._updates += 1\n self._children.append(node)\n self._tree._invalidate()\n return node\n\n def add_leaf(\n self, label: TextType, data: TreeDataType | None = None\n ) -> TreeNode[TreeDataType]:\n \"\"\"Add a 'leaf' node (a node that can not expand).\n\n Args:\n label: Label for the node.\n data: Optional data.\n\n Returns:\n New node.\n \"\"\"\n node = self.add(label, data, expand=False, allow_expand=False)\n return node\n\n class RemoveRootError(Exception):\n \"\"\"Exception raised when trying to remove a tree's root node.\"\"\"\n\n def _remove_children(self) -> None:\n \"\"\"Remove child nodes of this node.\n\n Note:\n This is the internal support method for `remove_children`. Call\n `remove_children` to ensure the tree gets refreshed.\n \"\"\"\n for child in reversed(self._children):\n child._remove()\n\n def _remove(self) -> None:\n \"\"\"Remove the current node and all its children.\n\n Note:\n This is the internal support method for `remove`. Call `remove`\n to ensure the tree gets refreshed.\n \"\"\"\n self._remove_children()\n assert self._parent is not None\n del self._parent._children[self._parent._children.index(self)]\n del self._tree._tree_nodes[self.id]\n\n def remove(self) -> None:\n \"\"\"Remove this node from the tree.\n\n Raises:\n TreeNode.RemoveRootError: If there is an attempt to remove the root.\n \"\"\"\n if self.is_root:\n raise self.RemoveRootError(\"Attempt to remove the root node of a Tree.\")\n self._remove()\n self._tree._invalidate()\n\n def remove_children(self) -> None:\n \"\"\"Remove any child nodes of this node.\"\"\"\n self._remove_children()\n self._tree._invalidate()\n\n\nclass Tree(Generic[TreeDataType], ScrollView, can_focus=True):\n \"\"\"A widget for displaying and navigating data in a tree.\"\"\"\n\n BINDINGS: ClassVar[list[BindingType]] = [\n Binding(\"enter\", \"select_cursor\", \"Select\", show=False),\n Binding(\"space\", \"toggle_node\", \"Toggle\", show=False),\n Binding(\"up\", \"cursor_up\", \"Cursor Up\", show=False),\n Binding(\"down\", \"cursor_down\", \"Cursor Down\", show=False),\n ]\n \"\"\"\n | Key(s) | Description |\n | :- | :- |\n | enter | Select the current item. |\n | space | Toggle the expand/collapsed space of the current item. |\n | up | Move the cursor up. |\n | down | Move the cursor down. |\n \"\"\"\n\n COMPONENT_CLASSES: ClassVar[set[str]] = {\n \"tree--cursor\",\n \"tree--guides\",\n \"tree--guides-hover\",\n \"tree--guides-selected\",\n \"tree--highlight\",\n \"tree--highlight-line\",\n \"tree--label\",\n }\n \"\"\"\n | Class | Description |\n | :- | :- |\n | `tree--cursor` | Targets the cursor. |\n | `tree--guides` | Targets the indentation guides. |\n | `tree--guides-hover` | Targets the indentation guides under the cursor. |\n | `tree--guides-selected` | Targets the indentation guides that are selected. |\n | `tree--highlight` | Targets the highlighted items. |\n | `tree--highlight-line` | Targets the lines under the cursor. |\n | `tree--label` | Targets the (text) labels of the items. |\n \"\"\"\n\n DEFAULT_CSS = \"\"\"\n Tree {\n background: $panel;\n color: $text;\n }\n Tree > .tree--label {\n\n }\n Tree > .tree--guides {\n color: $success-darken-3;\n }\n\n Tree > .tree--guides-hover {\n color: $success;\n text-style: bold;\n }\n\n Tree > .tree--guides-selected {\n color: $warning;\n text-style: bold;\n }\n\n Tree > .tree--cursor {\n background: $secondary-darken-2;\n color: $text;\n text-style: bold;\n }\n\n Tree:focus > .tree--cursor {\n background: $secondary;\n }\n\n Tree > .tree--highlight {\n text-style: underline;\n }\n\n Tree > .tree--highlight-line {\n background: $boost;\n }\n \"\"\"\n\n show_root = reactive(True)\n \"\"\"Show the root of the tree.\"\"\"\n hover_line = var(-1)\n \"\"\"The line number under the mouse pointer, or -1 if not under the mouse pointer.\"\"\"\n cursor_line = var(-1, always_update=True)\n \"\"\"The line with the cursor, or -1 if no cursor.\"\"\"\n show_guides = reactive(True)\n \"\"\"Enable display of tree guide lines.\"\"\"\n guide_depth = reactive(4, init=False)\n \"\"\"The indent depth of tree nodes.\"\"\"\n auto_expand = var(True)\n \"\"\"Auto expand tree nodes when clicked.\"\"\"\n\n LINES: dict[str, tuple[str, str, str, str]] = {\n \"default\": (\n \" \",\n \"│ \",\n \"└─\",\n \"├─\",\n ),\n \"bold\": (\n \" \",\n \"┃ \",\n \"┗━\",\n \"┣━\",\n ),\n \"double\": (\n \" \",\n \"║ \",\n \"╚═\",\n \"╠═\",\n ),\n }\n\n class NodeCollapsed(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is collapsed.\n\n Can be handled using `on_tree_node_collapsed` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was collapsed.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n class NodeExpanded(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is expanded.\n\n Can be handled using `on_tree_node_expanded` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was expanded.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n class NodeHighlighted(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is highlighted.\n\n Can be handled using `on_tree_node_highlighted` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was highlighted.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n class NodeSelected(Generic[EventTreeDataType], Message, bubble=True):\n \"\"\"Event sent when a node is selected.\n\n Can be handled using `on_tree_node_selected` in a subclass of `Tree` or in a\n parent node in the DOM.\n \"\"\"\n\n def __init__(self, node: TreeNode[EventTreeDataType]) -> None:\n self.node: TreeNode[EventTreeDataType] = node\n \"\"\"The node that was selected.\"\"\"\n super().__init__()\n\n @property\n def control(self) -> Tree[EventTreeDataType]:\n \"\"\"The tree that sent the message.\"\"\"\n return self.node.tree\n\n def __init__(\n self,\n label: TextType,\n data: TreeDataType | None = None,\n *,\n name: str | None = None,\n id: str | None = None,\n classes: str | None = None,\n disabled: bool = False,\n ) -> None:\n \"\"\"Initialise a Tree.\n\n Args:\n label: The label of the root node of the tree.\n data: The optional data to associate with the root node of the tree.\n name: The name of the Tree.\n id: The ID of the tree in the DOM.\n classes: The CSS classes of the tree.\n disabled: Whether the tree is disabled or not.\n \"\"\"\n\n super().__init__(name=name, id=id, classes=classes, disabled=disabled)\n\n text_label = self.process_label(label)\n\n self._updates = 0\n self._tree_nodes: dict[NodeID, TreeNode[TreeDataType]] = {}\n self._current_id = 0\n self.root = self._add_node(None, text_label, data)\n \"\"\"The root node of the tree.\"\"\"\n self._line_cache: LRUCache[LineCacheKey, Strip] = LRUCache(1024)\n self._tree_lines_cached: list[_TreeLine] | None = None\n self._cursor_node: TreeNode[TreeDataType] | None = None\n\n @property\n def cursor_node(self) -> TreeNode[TreeDataType] | None:\n \"\"\"The currently selected node, or ``None`` if no selection.\"\"\"\n return self._cursor_node\n\n @property\n def last_line(self) -> int:\n \"\"\"The index of the last line.\"\"\"\n return len(self._tree_lines) - 1\n\n def process_label(self, label: TextType) -> Text:\n \"\"\"Process a `str` or `Text` value into a label.\n\n Maybe overridden in a subclass to change how labels are rendered.\n\n Args:\n label: Label.\n\n Returns:\n A Rich Text object.\n \"\"\"\n if isinstance(label, str):\n text_label = Text.from_markup(label)\n else:\n text_label = label\n first_line = text_label.split()[0]\n return first_line\n\n def _add_node(\n self,\n parent: TreeNode[TreeDataType] | None,\n label: Text,\n data: TreeDataType | None,\n expand: bool = False,\n ) -> TreeNode[TreeDataType]:\n node = TreeNode(self, parent, self._new_id(), label, data, expanded=expand)\n self._tree_nodes[node._id] = node\n self._updates += 1\n return node\n\n def render_label(\n self, node: TreeNode[TreeDataType], base_style: Style, style: Style\n ) -> Text:\n \"\"\"Render a label for the given node. Override this to modify how labels are rendered.\n\n Args:\n node: A tree node.\n base_style: The base style of the widget.\n style: The additional style for the label.\n\n Returns:\n A Rich Text object containing the label.\n \"\"\"\n node_label = node._label.copy()\n node_label.stylize(style)\n\n if node._allow_expand:\n prefix = (\n \"▼ \" if node.is_expanded else \"▶ \",\n base_style + TOGGLE_STYLE,\n )\n else:\n prefix = (\"\", base_style)\n\n text = Text.assemble(prefix, node_label)\n return text\n\n def get_label_width(self, node: TreeNode[TreeDataType]) -> int:\n \"\"\"Get the width of the nodes label.\n\n The default behavior is to call `render_node` and return the cell length. This method may be\n overridden in a sub-class if it can be done more efficiently.\n\n Args:\n node: A node.\n\n Returns:\n Width in cells.\n \"\"\"\n label = self.render_label(node, NULL_STYLE, NULL_STYLE)\n return label.cell_len\n\n def clear(self) -> Self:\n \"\"\"Clear all nodes under root.\n\n Returns:\n The `Tree` instance.\n \"\"\"\n self._line_cache.clear()\n self._tree_lines_cached = None\n self._current_id = 0\n root_label = self.root._label\n root_data = self.root.data\n self.root = TreeNode(\n self,\n None,\n self._new_id(),\n root_label,\n root_data,\n expanded=True,\n )\n self._updates += 1\n self.refresh()\n return self\n\n def reset(self, label: TextType, data: TreeDataType | None = None) -> Self:\n \"\"\"Clear the tree and reset the root node.\n\n Args:\n label: The label for the root node.\n data: Optional data for the root node.\n\n Returns:\n The `Tree` instance.\n \"\"\"\n self.clear()\n self.root.label = label\n self.root.data = data\n return self\n\n def select_node(self, node: TreeNode[TreeDataType] | None) -> None:\n \"\"\"Move the cursor to the given node, or reset cursor.\n\n Args:\n node: A tree node, or None to reset cursor.\n \"\"\"\n self.cursor_line = -1 if node is None else node._line\n\n def get_node_at_line(self, line_no: int) -> TreeNode[TreeDataType] | None:\n \"\"\"Get the node for a given line.\n\n Args:\n line_no: A line number.\n\n Returns:\n A tree node, or ``None`` if there is no node at that line.\n \"\"\"\n try:\n line = self._tree_lines[line_no]\n except IndexError:\n return None\n else:\n return line.node\n\n class UnknownNodeID(Exception):\n \"\"\"Exception raised when referring to an unknown `TreeNode` ID.\"\"\"\n\n def get_node_by_id(self, node_id: NodeID) -> TreeNode[TreeDataType]:\n \"\"\"Get a tree node by its ID.\n\n Args:\n node_id: The ID of the node to get.\n\n Returns:\n The node associated with that ID.\n\n Raises:\n Tree.UnknownID: Raised if the `TreeNode` ID is unknown.\n \"\"\"\n try:\n return self._tree_nodes[node_id]\n except KeyError:\n raise self.UnknownNodeID(f\"Unknown NodeID ({node_id}) in tree\") from None\n\n def validate_cursor_line(self, value: int) -> int:\n \"\"\"Prevent cursor line from going outside of range.\n\n Args:\n value: The value to test.\n\n Return:\n A valid version of the given value.\n \"\"\"\n return clamp(value, 0, len(self._tree_lines) - 1)\n\n def validate_guide_depth(self, value: int) -> int:\n \"\"\"Restrict guide depth to reasonable range.\n\n Args:\n value: The value to test.\n\n Return:\n A valid version of the given value.\n \"\"\"\n return clamp(value, 2, 10)\n\n def _invalidate(self) -> None:\n \"\"\"Invalidate caches.\"\"\"\n self._line_cache.clear()\n self._tree_lines_cached = None\n self._updates += 1\n self.root._reset()\n self.refresh(layout=True)\n\n def _on_mouse_move(self, event: events.MouseMove):\n meta = event.style.meta\n if meta and \"line\" in meta:\n self.hover_line = meta[\"line\"]\n else:\n self.hover_line = -1\n\n def _new_id(self) -> NodeID:\n \"\"\"Create a new node ID.\n\n Returns:\n A unique node ID.\n \"\"\"\n id = self._current_id\n self._current_id += 1\n return NodeID(id)\n\n def _get_node(self, line: int) -> TreeNode[TreeDataType] | None:\n try:\n tree_line = self._tree_lines[line]\n except IndexError:\n return None\n else:\n return tree_line.node\n\n def _get_label_region(self, line: int) -> Region | None:\n \"\"\"Returns the region occupied by the label of the node at line `line`.\n\n This can be used, e.g., when scrolling to that line such that the label\n is visible after the scroll.\n\n Args:\n line: A line number.\n\n Returns:\n The region occupied by the label, or `None` if the\n line is not in the tree.\n \"\"\"\n try:\n tree_line = self._tree_lines[line]\n except IndexError:\n return None\n region_x = tree_line._get_guide_width(self.guide_depth, self.show_root)\n region_width = self.get_label_width(tree_line.node)\n return Region(region_x, line, region_width, 1)\n\n def watch_hover_line(self, previous_hover_line: int, hover_line: int) -> None:\n previous_node = self._get_node(previous_hover_line)\n if previous_node is not None:\n self._refresh_node(previous_node)\n previous_node._hover = False\n\n node = self._get_node(hover_line)\n if node is not None:\n self._refresh_node(node)\n node._hover = True\n\n def watch_cursor_line(self, previous_line: int, line: int) -> None:\n previous_node = self._get_node(previous_line)\n if previous_node is not None:\n self._refresh_node(previous_node)\n previous_node._selected = False\n self._cursor_node = None\n\n node = self._get_node(line)\n if node is not None:\n self._refresh_node(node)\n node._selected = True\n self._cursor_node = node\n if previous_node != node:\n self.post_message(self.NodeHighlighted(node))\n else:\n self._cursor_node = None\n\n def watch_guide_depth(self, guide_depth: int) -> None:\n self._invalidate()\n\n def watch_show_root(self, show_root: bool) -> None:\n self.cursor_line = -1\n self._invalidate()\n\n def scroll_to_line(self, line: int) -> None:\n \"\"\"Scroll to the given line.\n\n Args:\n line: A line number.\n \"\"\"\n region = self._get_label_region(line)\n if region is not None:\n self.scroll_to_region(region)\n\n def scroll_to_node(self, node: TreeNode[TreeDataType]) -> None:\n \"\"\"Scroll to the given node.\n\n Args:\n node: Node to scroll in to view.\n \"\"\"\n line = node._line\n if line != -1:\n self.scroll_to_line(line)\n\n def refresh_line(self, line: int) -> None:\n \"\"\"Refresh (repaint) a given line in the tree.\n\n Args:\n line: Line number.\n \"\"\"\n region = Region(0, line - self.scroll_offset.y, self.size.width, 1)\n self.refresh(region)\n\n def _refresh_node_line(self, line: int) -> None:\n node = self._get_node(line)\n if node is not None:\n self._refresh_node(node)\n\n def _refresh_node(self, node: TreeNode[TreeDataType]) -> None:\n \"\"\"Refresh a node and all its children.\n\n Args:\n node: A tree node.\n \"\"\"\n scroll_y = self.scroll_offset.y\n height = self.size.height\n visible_lines = self._tree_lines[scroll_y : scroll_y + height]\n for line_no, line in enumerate(visible_lines, scroll_y):\n if node in line.path:\n self.refresh_line(line_no)\n\n @property\n def _tree_lines(self) -> list[_TreeLine]:\n if self._tree_lines_cached is None:\n self._build()\n assert self._tree_lines_cached is not None\n return self._tree_lines_cached\n\n async def _on_idle(self, event: events.Idle) -> None:\n \"\"\"Check tree needs a rebuild on idle.\"\"\"\n # Property calls build if required\n self._tree_lines\n\n def _build(self) -> None:\n \"\"\"Builds the tree by traversing nodes, and creating tree lines.\"\"\"\n\n TreeLine = _TreeLine\n lines: list[_TreeLine] = []\n add_line = lines.append\n\n root = self.root\n\n def add_node(\n path: list[TreeNode[TreeDataType]], node: TreeNode[TreeDataType], last: bool\n ) -> None:\n child_path = [*path, node]\n node._line = len(lines)\n add_line(TreeLine(child_path, last))\n if node._expanded:\n for last, child in loop_last(node._children):\n add_node(child_path, child, last)\n\n if self.show_root:\n add_node([], root, True)\n else:\n for node in self.root._children:\n add_node([], node, True)\n self._tree_lines_cached = lines\n\n guide_depth = self.guide_depth\n show_root = self.show_root\n get_label_width = self.get_label_width\n\n def get_line_width(line: _TreeLine) -> int:\n return get_label_width(line.node) + line._get_guide_width(\n guide_depth, show_root\n )\n\n if lines:\n width = max([get_line_width(line) for line in lines])\n else:\n width = self.size.width\n\n self.virtual_size = Size(width, len(lines))\n if self.cursor_line != -1:\n if self.cursor_node is not None:\n self.cursor_line = self.cursor_node._line\n if self.cursor_line >= len(lines):\n self.cursor_line = -1\n self.refresh()\n\n def render_lines(self, crop: Region) -> list[Strip]:\n self._pseudo_class_state = self.get_pseudo_class_state()\n return super().render_lines(crop)\n\n def render_line(self, y: int) -> Strip:\n width = self.size.width\n scroll_x, scroll_y = self.scroll_offset\n style = self.rich_style\n return self._render_line(\n y + scroll_y,\n scroll_x,\n scroll_x + width,\n style,\n )\n\n def _render_line(self, y: int, x1: int, x2: int, base_style: Style) -> Strip:\n tree_lines = self._tree_lines\n width = self.size.width\n\n if y >= len(tree_lines):\n return Strip.blank(width, base_style)\n\n line = tree_lines[y]\n\n is_hover = self.hover_line >= 0 and any(node._hover for node in line.path)\n\n cache_key = (\n y,\n is_hover,\n width,\n self._updates,\n self._pseudo_class_state,\n tuple(node._updates for node in line.path),\n )\n if cache_key in self._line_cache:\n strip = self._line_cache[cache_key]\n else:\n base_guide_style = self.get_component_rich_style(\n \"tree--guides\", partial=True\n )\n guide_hover_style = base_guide_style + self.get_component_rich_style(\n \"tree--guides-hover\", partial=True\n )\n guide_selected_style = base_guide_style + self.get_component_rich_style(\n \"tree--guides-selected\", partial=True\n )\n\n hover = line.path[0]._hover\n selected = line.path[0]._selected and self.has_focus\n\n def get_guides(style: Style) -> tuple[str, str, str, str]:\n \"\"\"Get the guide strings for a given style.\n\n Args:\n style: A Style object.\n\n Returns:\n Strings for space, vertical, terminator and cross.\n \"\"\"\n lines: tuple[Iterable[str], Iterable[str], Iterable[str], Iterable[str]]\n if self.show_guides:\n lines = self.LINES[\"default\"]\n if style.bold:\n lines = self.LINES[\"bold\"]\n elif style.underline2:\n lines = self.LINES[\"double\"]\n else:\n lines = (\" \", \" \", \" \", \" \")\n\n guide_depth = max(0, self.guide_depth - 2)\n guide_lines = tuple(\n f\"{characters[0]}{characters[1] * guide_depth} \"\n for characters in lines\n )\n return cast(\"tuple[str, str, str, str]\", guide_lines)\n\n if is_hover:\n line_style = self.get_component_rich_style(\"tree--highlight-line\")\n else:\n line_style = base_style\n\n guides = Text(style=line_style)\n guides_append = guides.append\n\n guide_style = base_guide_style\n for node in line.path[1:]:\n if hover:\n guide_style = guide_hover_style\n if selected:\n guide_style = guide_selected_style\n\n space, vertical, _, _ = get_guides(guide_style)\n guide = space if node.is_last else vertical\n if node != line.path[-1]:\n guides_append(guide, style=guide_style)\n hover = hover or node._hover\n selected = (selected or node._selected) and self.has_focus\n\n if len(line.path) > 1:\n _, _, terminator, cross = get_guides(guide_style)\n if line.last:\n guides.append(terminator, style=guide_style)\n else:\n guides.append(cross, style=guide_style)\n\n label_style = self.get_component_rich_style(\"tree--label\", partial=True)\n if self.hover_line == y:\n label_style += self.get_component_rich_style(\n \"tree--highlight\", partial=True\n )\n if self.cursor_line == y:\n label_style += self.get_component_rich_style(\n \"tree--cursor\", partial=False\n )\n\n label = self.render_label(line.path[-1], line_style, label_style).copy()\n label.stylize(Style(meta={\"node\": line.node._id, \"line\": y}))\n guides.append(label)\n\n segments = list(guides.render(self.app.console))\n pad_width = max(self.virtual_size.width, width)\n segments = line_pad(segments, 0, pad_width - guides.cell_len, line_style)\n strip = self._line_cache[cache_key] = Strip(segments)\n\n strip = strip.crop(x1, x2)\n return strip\n\n def _on_resize(self, event: events.Resize) -> None:\n self._line_cache.grow(event.size.height)\n self._invalidate()\n\n def _toggle_node(self, node: TreeNode[TreeDataType]) -> None:\n if not node.allow_expand:\n return\n if node.is_expanded:\n node.collapse()\n else:\n node.expand()\n\n async def _on_click(self, event: events.Click) -> None:\n meta = event.style.meta\n if \"line\" in meta:\n cursor_line = meta[\"line\"]\n if meta.get(\"toggle\", False):\n node = self.get_node_at_line(cursor_line)\n if node is not None:\n self._toggle_node(node)\n\n else:\n self.cursor_line = cursor_line\n await self.run_action(\"select_cursor\")\n\n def notify_style_update(self) -> None:\n self._invalidate()\n\n def action_cursor_up(self) -> None:\n \"\"\"Move the cursor up one node.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = self.last_line\n else:\n self.cursor_line -= 1\n self.scroll_to_line(self.cursor_line)\n\n def action_cursor_down(self) -> None:\n \"\"\"Move the cursor down one node.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = 0\n else:\n self.cursor_line += 1\n self.scroll_to_line(self.cursor_line)\n\n def action_page_down(self) -> None:\n \"\"\"Move the cursor down a page's-worth of nodes.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = 0\n self.cursor_line += self.scrollable_content_region.height - 1\n self.scroll_to_line(self.cursor_line)\n\n def action_page_up(self) -> None:\n \"\"\"Move the cursor up a page's-worth of nodes.\"\"\"\n if self.cursor_line == -1:\n self.cursor_line = self.last_line\n self.cursor_line -= self.scrollable_content_region.height - 1\n self.scroll_to_line(self.cursor_line)\n\n def action_scroll_home(self) -> None:\n \"\"\"Move the cursor to the top of the tree.\"\"\"\n self.cursor_line = 0\n self.scroll_to_line(self.cursor_line)\n\n def action_scroll_end(self) -> None:\n \"\"\"Move the cursor to the bottom of the tree.\n\n Note:\n Here bottom means vertically, not branch depth.\n \"\"\"\n self.cursor_line = self.last_line\n self.scroll_to_line(self.cursor_line)\n\n def action_toggle_node(self) -> None:\n \"\"\"Toggle the expanded state of the target node.\"\"\"\n try:\n line = self._tree_lines[self.cursor_line]\n except IndexError:\n pass\n else:\n self._toggle_node(line.path[-1])\n\n def action_select_cursor(self) -> None:\n \"\"\"Cause a select event for the target node.\n\n Note:\n If `auto_expand` is `True` use of this action on a non-leaf node\n will cause both an expand/collapse event to occur, as well as a\n selected event.\n \"\"\"\n try:\n line = self._tree_lines[self.cursor_line]\n except IndexError:\n pass\n else:\n node = line.path[-1]\n if self.auto_expand:\n self._toggle_node(node)\n self.post_message(self.NodeSelected(node))\n", "path": "src/textual/widgets/_tree.py" } ]
diff --git a/CHANGELOG.md b/CHANGELOG.md index 0a566edf64..679a7b7f05 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). +## Unreleased + +### Fixed + +- Fixed setting `TreeNode.label` on an existing `Tree` node not immediately https://github.com/Textualize/textual/pull/2713 + ## [0.27.0] - 2023-06-01 ### Fixed diff --git a/src/textual/widgets/_tree.py b/src/textual/widgets/_tree.py index ef1f25902a..f4c218cb9e 100644 --- a/src/textual/widgets/_tree.py +++ b/src/textual/widgets/_tree.py @@ -307,6 +307,7 @@ def set_label(self, label: TextType) -> None: self._updates += 1 text_label = self._tree.process_label(label) self._label = text_label + self._tree.call_later(self._tree._refresh_node, self) def add( self,
Updating a `TreeNode.label` doesn't refresh the tree right away In this little illustration of how a `Tree`'s nodes' labels can be updated on the fly, the actual updates don't show until some other interaction with the `Tree` takes place (moving the cursor, causing a mouse hover event, etc): ```python from textual.app import App, ComposeResult from textual.widgets import Header, Footer, Tree class TreeNodeUpdateApp( App[ None ] ): BINDINGS = [ ( "a", "add", "" ), ] def compose( self ) -> ComposeResult: yield Header() yield Tree( "100" ) yield Footer() def on_mount( self ) -> None: for n in range( 10 ): node = self.query_one( Tree ).root.add( str( n ), expand=True ) for m in range( 10 ): node.add_leaf( str( m ) ) def action_add( self ): node = self.query_one( Tree ).cursor_node node.label = str( int( str( node.label ) ) + 1 ) if __name__ == "__main__": TreeNodeUpdateApp().run() ``` adding a `self.query_one( Tree ).refresh()` to the end of `action_add` fixes it so the update of the label is reflected right away. [`TreeNode.set_label`](https://github.com/Textualize/textual/blob/149c39c86c083772d3249c8bbd5c1fa7923a8d55/src/textual/widgets/_tree.py#L301-L309) should probably be changed to cause the `Tree` to perform a `refresh`.
boto__botocore-888
[ { "content": "# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"). You\n# may not use this file except in compliance with the License. A copy of\n# the License is located at\n#\n# http://aws.amazon.com/apache2.0/\n#\n# or in the \"license\" file accompanying this file. This file is\n# distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\n# ANY KIND, either express or implied. See the License for the specific\n# language governing permissions and limitations under the License.\n\"\"\"Protocol input serializes.\n\nThis module contains classes that implement input serialization\nfor the various AWS protocol types.\n\nThese classes essentially take user input, a model object that\nrepresents what the expected input should look like, and it returns\na dictionary that contains the various parts of a request. A few\nhigh level design decisions:\n\n\n* Each protocol type maps to a separate class, all inherit from\n ``Serializer``.\n* The return value for ``serialize_to_request`` (the main entry\n point) returns a dictionary that represents a request. This\n will have keys like ``url_path``, ``query_string``, etc. This\n is done so that it's a) easy to test and b) not tied to a\n particular HTTP library. See the ``serialize_to_request`` docstring\n for more details.\n\nUnicode\n-------\n\nThe input to the serializers should be text (str/unicode), not bytes,\nwith the exception of blob types. Those are assumed to be binary,\nand if a str/unicode type is passed in, it will be encoded as utf-8.\n\"\"\"\nimport re\nimport base64\nfrom xml.etree import ElementTree\nimport calendar\n\nfrom botocore.compat import six\n\nfrom botocore.compat import json, formatdate\nfrom botocore.utils import parse_to_aware_datetime\nfrom botocore.utils import percent_encode\nfrom botocore import validate\n\n\n# From the spec, the default timestamp format if not specified is iso8601.\nDEFAULT_TIMESTAMP_FORMAT = 'iso8601'\nISO8601 = '%Y-%m-%dT%H:%M:%SZ'\n# Same as ISO8601, but with microsecond precision.\nISO8601_MICRO = '%Y-%m-%dT%H:%M:%S.%fZ'\n\n\ndef create_serializer(protocol_name, include_validation=True):\n # TODO: Unknown protocols.\n serializer = SERIALIZERS[protocol_name]()\n if include_validation:\n validator = validate.ParamValidator()\n serializer = validate.ParamValidationDecorator(validator, serializer)\n return serializer\n\n\nclass Serializer(object):\n DEFAULT_METHOD = 'POST'\n # Clients can change this to a different MutableMapping\n # (i.e OrderedDict) if they want. This is used in the\n # compliance test to match the hash ordering used in the\n # tests.\n MAP_TYPE = dict\n DEFAULT_ENCODING = 'utf-8'\n\n def serialize_to_request(self, parameters, operation_model):\n \"\"\"Serialize parameters into an HTTP request.\n\n This method takes user provided parameters and a shape\n model and serializes the parameters to an HTTP request.\n More specifically, this method returns information about\n parts of the HTTP request, it does not enforce a particular\n interface or standard for an HTTP request. It instead returns\n a dictionary of:\n\n * 'url_path'\n * 'query_string'\n * 'headers'\n * 'body'\n * 'method'\n\n It is then up to consumers to decide how to map this to a Request\n object of their HTTP library of choice. Below is an example\n return value::\n\n {'body': {'Action': 'OperationName',\n 'Bar': 'val2',\n 'Foo': 'val1',\n 'Version': '2014-01-01'},\n 'headers': {},\n 'method': 'POST',\n 'query_string': '',\n 'url_path': '/'}\n\n :param parameters: The dictionary input parameters for the\n operation (i.e the user input).\n :param operation_model: The OperationModel object that describes\n the operation.\n \"\"\"\n raise NotImplementedError(\"serialize_to_request\")\n\n def _create_default_request(self):\n # Creates a boilerplate default request dict that subclasses\n # can use as a starting point.\n serialized = {\n 'url_path': '/',\n 'query_string': '',\n 'method': self.DEFAULT_METHOD,\n 'headers': {},\n # An empty body is represented as an empty byte string.\n 'body': b''\n }\n return serialized\n\n # Some extra utility methods subclasses can use.\n\n def _timestamp_iso8601(self, value):\n if value.microsecond > 0:\n timestamp_format = ISO8601_MICRO\n else:\n timestamp_format = ISO8601\n return value.strftime(timestamp_format)\n\n def _timestamp_unixtimestamp(self, value):\n return int(calendar.timegm(value.timetuple()))\n\n def _timestamp_rfc822(self, value):\n return formatdate(value, usegmt=True)\n\n def _convert_timestamp_to_str(self, value):\n datetime_obj = parse_to_aware_datetime(value)\n converter = getattr(\n self, '_timestamp_%s' % self.TIMESTAMP_FORMAT.lower())\n final_value = converter(datetime_obj)\n return final_value\n\n def _get_serialized_name(self, shape, default_name):\n # Returns the serialized name for the shape if it exists.\n # Otherwise it will return the passed in default_name.\n return shape.serialization.get('name', default_name)\n\n def _get_base64(self, value):\n # Returns the base64-encoded version of value, handling\n # both strings and bytes. The returned value is a string\n # via the default encoding.\n if isinstance(value, six.text_type):\n value = value.encode(self.DEFAULT_ENCODING)\n return base64.b64encode(value).strip().decode(\n self.DEFAULT_ENCODING)\n\n\nclass QuerySerializer(Serializer):\n\n TIMESTAMP_FORMAT = 'iso8601'\n\n def serialize_to_request(self, parameters, operation_model):\n shape = operation_model.input_shape\n serialized = self._create_default_request()\n serialized['method'] = operation_model.http.get('method',\n self.DEFAULT_METHOD)\n # The query serializer only deals with body params so\n # that's what we hand off the _serialize_* methods.\n body_params = self.MAP_TYPE()\n body_params['Action'] = operation_model.name\n body_params['Version'] = operation_model.metadata['apiVersion']\n if shape is not None:\n self._serialize(body_params, parameters, shape)\n serialized['body'] = body_params\n return serialized\n\n def _serialize(self, serialized, value, shape, prefix=''):\n # serialized: The dict that is incrementally added to with the\n # final serialized parameters.\n # value: The current user input value.\n # shape: The shape object that describes the structure of the\n # input.\n # prefix: The incrementally built up prefix for the serialized\n # key (i.e Foo.bar.members.1).\n method = getattr(self, '_serialize_type_%s' % shape.type_name,\n self._default_serialize)\n method(serialized, value, shape, prefix=prefix)\n\n def _serialize_type_structure(self, serialized, value, shape, prefix=''):\n members = shape.members\n for key, value in value.items():\n member_shape = members[key]\n member_prefix = self._get_serialized_name(member_shape, key)\n if prefix:\n member_prefix = '%s.%s' % (prefix, member_prefix)\n self._serialize(serialized, value, member_shape, member_prefix)\n\n def _serialize_type_list(self, serialized, value, shape, prefix=''):\n if not value:\n # The query protocol serializes empty lists.\n serialized[prefix] = ''\n return\n if self._is_shape_flattened(shape):\n list_prefix = prefix\n if shape.member.serialization.get('name'):\n name = self._get_serialized_name(shape.member, default_name='')\n # Replace '.Original' with '.{name}'.\n list_prefix = '.'.join(prefix.split('.')[:-1] + [name])\n else:\n list_name = shape.member.serialization.get('name', 'member')\n list_prefix = '%s.%s' % (prefix, list_name)\n for i, element in enumerate(value, 1):\n element_prefix = '%s.%s' % (list_prefix, i)\n element_shape = shape.member\n self._serialize(serialized, element, element_shape, element_prefix)\n\n def _serialize_type_map(self, serialized, value, shape, prefix=''):\n if self._is_shape_flattened(shape):\n full_prefix = prefix\n else:\n full_prefix = '%s.entry' % prefix\n template = full_prefix + '.{i}.{suffix}'\n key_shape = shape.key\n value_shape = shape.value\n key_suffix = self._get_serialized_name(key_shape, default_name='key')\n value_suffix = self._get_serialized_name(value_shape, 'value')\n for i, key in enumerate(value, 1):\n key_prefix = template.format(i=i, suffix=key_suffix)\n value_prefix = template.format(i=i, suffix=value_suffix)\n self._serialize(serialized, key, key_shape, key_prefix)\n self._serialize(serialized, value[key], value_shape, value_prefix)\n\n def _serialize_type_blob(self, serialized, value, shape, prefix=''):\n # Blob args must be base64 encoded.\n serialized[prefix] = self._get_base64(value)\n\n def _serialize_type_timestamp(self, serialized, value, shape, prefix=''):\n serialized[prefix] = self._convert_timestamp_to_str(value)\n\n def _serialize_type_boolean(self, serialized, value, shape, prefix=''):\n if value:\n serialized[prefix] = 'true'\n else:\n serialized[prefix] = 'false'\n\n def _default_serialize(self, serialized, value, shape, prefix=''):\n serialized[prefix] = value\n\n def _is_shape_flattened(self, shape):\n return shape.serialization.get('flattened')\n\n\nclass EC2Serializer(QuerySerializer):\n \"\"\"EC2 specific customizations to the query protocol serializers.\n\n The EC2 model is almost, but not exactly, similar to the query protocol\n serializer. This class encapsulates those differences. The model\n will have be marked with a ``protocol`` of ``ec2``, so you don't need\n to worry about wiring this class up correctly.\n\n \"\"\"\n def _get_serialized_name(self, shape, default_name):\n # Returns the serialized name for the shape if it exists.\n # Otherwise it will return the passed in default_name.\n if 'queryName' in shape.serialization:\n return shape.serialization['queryName']\n elif 'name' in shape.serialization:\n # A locationName is always capitalized\n # on input for the ec2 protocol.\n name = shape.serialization['name']\n return name[0].upper() + name[1:]\n else:\n return default_name\n\n def _serialize_type_list(self, serialized, value, shape, prefix=''):\n for i, element in enumerate(value, 1):\n element_prefix = '%s.%s' % (prefix, i)\n element_shape = shape.member\n self._serialize(serialized, element, element_shape, element_prefix)\n\n\nclass JSONSerializer(Serializer):\n TIMESTAMP_FORMAT = 'unixtimestamp'\n\n def serialize_to_request(self, parameters, operation_model):\n target = '%s.%s' % (operation_model.metadata['targetPrefix'],\n operation_model.name)\n json_version = operation_model.metadata['jsonVersion']\n serialized = self._create_default_request()\n serialized['method'] = operation_model.http.get('method',\n self.DEFAULT_METHOD)\n serialized['headers'] = {\n 'X-Amz-Target': target,\n 'Content-Type': 'application/x-amz-json-%s' % json_version,\n }\n body = {}\n input_shape = operation_model.input_shape\n if input_shape is not None:\n self._serialize(body, parameters, input_shape)\n serialized['body'] = json.dumps(body).encode(self.DEFAULT_ENCODING)\n return serialized\n\n def _serialize(self, serialized, value, shape, key=None):\n method = getattr(self, '_serialize_type_%s' % shape.type_name,\n self._default_serialize)\n method(serialized, value, shape, key)\n\n def _serialize_type_structure(self, serialized, value, shape, key):\n if key is not None:\n # If a key is provided, this is a result of a recursive\n # call so we need to add a new child dict as the value\n # of the passed in serialized dict. We'll then add\n # all the structure members as key/vals in the new serialized\n # dictionary we just created.\n new_serialized = self.MAP_TYPE()\n serialized[key] = new_serialized\n serialized = new_serialized\n members = shape.members\n for member_key, member_value in value.items():\n member_shape = members[member_key]\n if 'name' in member_shape.serialization:\n member_key = member_shape.serialization['name']\n self._serialize(serialized, member_value, member_shape, member_key)\n\n def _serialize_type_map(self, serialized, value, shape, key):\n map_obj = self.MAP_TYPE()\n serialized[key] = map_obj\n for sub_key, sub_value in value.items():\n self._serialize(map_obj, sub_value, shape.value, sub_key)\n\n def _serialize_type_list(self, serialized, value, shape, key):\n list_obj = []\n serialized[key] = list_obj\n for list_item in value:\n wrapper = {}\n # The JSON list serialization is the only case where we aren't\n # setting a key on a dict. We handle this by using\n # a __current__ key on a wrapper dict to serialize each\n # list item before appending it to the serialized list.\n self._serialize(wrapper, list_item, shape.member, \"__current__\")\n list_obj.append(wrapper[\"__current__\"])\n\n def _default_serialize(self, serialized, value, shape, key):\n serialized[key] = value\n\n def _serialize_type_timestamp(self, serialized, value, shape, key):\n serialized[key] = self._convert_timestamp_to_str(value)\n\n def _serialize_type_blob(self, serialized, value, shape, key):\n serialized[key] = self._get_base64(value)\n\n\nclass BaseRestSerializer(Serializer):\n \"\"\"Base class for rest protocols.\n\n The only variance between the various rest protocols is the\n way that the body is serialized. All other aspects (headers, uri, etc.)\n are the same and logic for serializing those aspects lives here.\n\n Subclasses must implement the ``_serialize_body_params`` method.\n\n \"\"\"\n # This is a list of known values for the \"location\" key in the\n # serialization dict. The location key tells us where on the request\n # to put the serialized value.\n KNOWN_LOCATIONS = ['uri', 'querystring', 'header', 'headers']\n\n def serialize_to_request(self, parameters, operation_model):\n serialized = self._create_default_request()\n serialized['method'] = operation_model.http.get('method',\n self.DEFAULT_METHOD)\n shape = operation_model.input_shape\n if shape is None:\n serialized['url_path'] = operation_model.http['requestUri']\n return serialized\n shape_members = shape.members\n # While the ``serialized`` key holds the final serialized request\n # data, we need interim dicts for the various locations of the\n # request. We need this for the uri_path_kwargs and the\n # query_string_kwargs because they are templated, so we need\n # to gather all the needed data for the string template,\n # then we render the template. The body_kwargs is needed\n # because once we've collected them all, we run them through\n # _serialize_body_params, which for rest-json, creates JSON,\n # and for rest-xml, will create XML. This is what the\n # ``partitioned`` dict below is for.\n partitioned = {\n 'uri_path_kwargs': self.MAP_TYPE(),\n 'query_string_kwargs': self.MAP_TYPE(),\n 'body_kwargs': self.MAP_TYPE(),\n 'headers': self.MAP_TYPE(),\n }\n for param_name, param_value in parameters.items():\n if param_value is None:\n # Don't serialize any parameter with a None value.\n continue\n self._partition_parameters(partitioned, param_name, param_value,\n shape_members)\n serialized['url_path'] = self._render_uri_template(\n operation_model.http['requestUri'],\n partitioned['uri_path_kwargs'])\n # Note that we lean on the http implementation to handle the case\n # where the requestUri path already has query parameters.\n # The bundled http client, requests, already supports this.\n serialized['query_string'] = partitioned['query_string_kwargs']\n if partitioned['headers']:\n serialized['headers'] = partitioned['headers']\n self._serialize_payload(partitioned, parameters,\n serialized, shape, shape_members)\n return serialized\n\n def _render_uri_template(self, uri_template, params):\n # We need to handle two cases::\n #\n # /{Bucket}/foo\n # /{Key+}/bar\n # A label ending with '+' is greedy. There can only\n # be one greedy key.\n encoded_params = {}\n for template_param in re.findall(r'{(.*?)}', uri_template):\n if template_param.endswith('+'):\n encoded_params[template_param] = percent_encode(\n params[template_param[:-1]], safe='/~')\n else:\n encoded_params[template_param] = percent_encode(\n params[template_param])\n return uri_template.format(**encoded_params)\n\n def _serialize_payload(self, partitioned, parameters,\n serialized, shape, shape_members):\n # partitioned - The user input params partitioned by location.\n # parameters - The user input params.\n # serialized - The final serialized request dict.\n # shape - Describes the expected input shape\n # shape_members - The members of the input struct shape\n payload_member = shape.serialization.get('payload')\n if payload_member is not None and \\\n shape_members[payload_member].type_name in ['blob', 'string']:\n # If it's streaming, then the body is just the\n # value of the payload.\n body_payload = parameters.get(payload_member, b'')\n body_payload = self._encode_payload(body_payload)\n serialized['body'] = body_payload\n elif payload_member is not None:\n # If there's a payload member, we serialized that\n # member to they body.\n body_params = parameters.get(payload_member)\n if body_params is not None:\n serialized['body'] = self._serialize_body_params(\n body_params,\n shape_members[payload_member])\n elif partitioned['body_kwargs']:\n serialized['body'] = self._serialize_body_params(\n partitioned['body_kwargs'], shape)\n\n def _encode_payload(self, body):\n if isinstance(body, six.text_type):\n return body.encode(self.DEFAULT_ENCODING)\n return body\n\n def _partition_parameters(self, partitioned, param_name,\n param_value, shape_members):\n # This takes the user provided input parameter (``param``)\n # and figures out where they go in the request dict.\n # Some params are HTTP headers, some are used in the URI, some\n # are in the request body. This method deals with this.\n member = shape_members[param_name]\n location = member.serialization.get('location')\n key_name = member.serialization.get('name', param_name)\n if location == 'uri':\n partitioned['uri_path_kwargs'][key_name] = param_value\n elif location == 'querystring':\n if isinstance(param_value, dict):\n partitioned['query_string_kwargs'].update(param_value)\n else:\n partitioned['query_string_kwargs'][key_name] = param_value\n elif location == 'header':\n shape = shape_members[param_name]\n value = self._convert_header_value(shape, param_value)\n partitioned['headers'][key_name] = str(value)\n elif location == 'headers':\n # 'headers' is a bit of an oddball. The ``key_name``\n # is actually really a prefix for the header names:\n header_prefix = key_name\n # The value provided by the user is a dict so we'll be\n # creating multiple header key/val pairs. The key\n # name to use for each header is the header_prefix (``key_name``)\n # plus the key provided by the user.\n self._do_serialize_header_map(header_prefix,\n partitioned['headers'],\n param_value)\n else:\n partitioned['body_kwargs'][param_name] = param_value\n\n def _do_serialize_header_map(self, header_prefix, headers, user_input):\n for key, val in user_input.items():\n full_key = header_prefix + key\n headers[full_key] = val\n\n def _serialize_body_params(self, params, shape):\n raise NotImplementedError('_serialize_body_params')\n\n def _convert_header_value(self, shape, value):\n if shape.type_name == 'timestamp':\n datetime_obj = parse_to_aware_datetime(value)\n timestamp = calendar.timegm(datetime_obj.utctimetuple())\n return self._timestamp_rfc822(timestamp)\n else:\n return value\n\n\nclass RestJSONSerializer(BaseRestSerializer, JSONSerializer):\n\n def _serialize_body_params(self, params, shape):\n serialized_body = self.MAP_TYPE()\n self._serialize(serialized_body, params, shape)\n return json.dumps(serialized_body).encode(self.DEFAULT_ENCODING)\n\n\nclass RestXMLSerializer(BaseRestSerializer):\n TIMESTAMP_FORMAT = 'iso8601'\n\n def _serialize_body_params(self, params, shape):\n root_name = shape.serialization['name']\n pseudo_root = ElementTree.Element('')\n self._serialize(shape, params, pseudo_root, root_name)\n real_root = list(pseudo_root)[0]\n return ElementTree.tostring(real_root, encoding=self.DEFAULT_ENCODING)\n\n def _serialize(self, shape, params, xmlnode, name):\n method = getattr(self, '_serialize_type_%s' % shape.type_name,\n self._default_serialize)\n method(xmlnode, params, shape, name)\n\n def _serialize_type_structure(self, xmlnode, params, shape, name):\n structure_node = ElementTree.SubElement(xmlnode, name)\n\n if 'xmlNamespace' in shape.serialization:\n namespace_metadata = shape.serialization['xmlNamespace']\n attribute_name = 'xmlns'\n if namespace_metadata.get('prefix'):\n attribute_name += ':%s' % namespace_metadata['prefix']\n structure_node.attrib[attribute_name] = namespace_metadata['uri']\n for key, value in params.items():\n member_shape = shape.members[key]\n member_name = member_shape.serialization.get('name', key)\n # We need to special case member shapes that are marked as an\n # xmlAttribute. Rather than serializing into an XML child node,\n # we instead serialize the shape to an XML attribute of the\n # *current* node.\n if value is None:\n # Don't serialize any param whose value is None.\n return\n if member_shape.serialization.get('xmlAttribute'):\n # xmlAttributes must have a serialization name.\n xml_attribute_name = member_shape.serialization['name']\n structure_node.attrib[xml_attribute_name] = value\n continue\n self._serialize(member_shape, value, structure_node, member_name)\n\n def _serialize_type_list(self, xmlnode, params, shape, name):\n member_shape = shape.member\n if shape.serialization.get('flattened'):\n element_name = name\n list_node = xmlnode\n else:\n element_name = member_shape.serialization.get('name', 'member')\n list_node = ElementTree.SubElement(xmlnode, name)\n for item in params:\n self._serialize(member_shape, item, list_node, element_name)\n\n def _serialize_type_map(self, xmlnode, params, shape, name):\n # Given the ``name`` of MyMap, and input of {\"key1\": \"val1\"}\n # we serialize this as:\n # <MyMap>\n # <entry>\n # <key>key1</key>\n # <value>val1</value>\n # </entry>\n # </MyMap>\n node = ElementTree.SubElement(xmlnode, name)\n # TODO: handle flattened maps.\n for key, value in params.items():\n entry_node = ElementTree.SubElement(node, 'entry')\n key_name = self._get_serialized_name(shape.key, default_name='key')\n val_name = self._get_serialized_name(shape.value,\n default_name='value')\n self._serialize(shape.key, key, entry_node, key_name)\n self._serialize(shape.value, value, entry_node, val_name)\n\n def _serialize_type_boolean(self, xmlnode, params, shape, name):\n # For scalar types, the 'params' attr is actually just a scalar\n # value representing the data we need to serialize as a boolean.\n # It will either be 'true' or 'false'\n node = ElementTree.SubElement(xmlnode, name)\n if params:\n str_value = 'true'\n else:\n str_value = 'false'\n node.text = str_value\n\n def _serialize_type_blob(self, xmlnode, params, shape, name):\n node = ElementTree.SubElement(xmlnode, name)\n node.text = self._get_base64(params)\n\n def _serialize_type_timestamp(self, xmlnode, params, shape, name):\n node = ElementTree.SubElement(xmlnode, name)\n node.text = self._convert_timestamp_to_str(params)\n\n def _default_serialize(self, xmlnode, params, shape, name):\n node = ElementTree.SubElement(xmlnode, name)\n node.text = str(params)\n\n\nSERIALIZERS = {\n 'ec2': EC2Serializer,\n 'query': QuerySerializer,\n 'json': JSONSerializer,\n 'rest-json': RestJSONSerializer,\n 'rest-xml': RestXMLSerializer,\n}\n", "path": "botocore/serialize.py" } ]
[ { "content": "# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"). You\n# may not use this file except in compliance with the License. A copy of\n# the License is located at\n#\n# http://aws.amazon.com/apache2.0/\n#\n# or in the \"license\" file accompanying this file. This file is\n# distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF\n# ANY KIND, either express or implied. See the License for the specific\n# language governing permissions and limitations under the License.\n\"\"\"Protocol input serializes.\n\nThis module contains classes that implement input serialization\nfor the various AWS protocol types.\n\nThese classes essentially take user input, a model object that\nrepresents what the expected input should look like, and it returns\na dictionary that contains the various parts of a request. A few\nhigh level design decisions:\n\n\n* Each protocol type maps to a separate class, all inherit from\n ``Serializer``.\n* The return value for ``serialize_to_request`` (the main entry\n point) returns a dictionary that represents a request. This\n will have keys like ``url_path``, ``query_string``, etc. This\n is done so that it's a) easy to test and b) not tied to a\n particular HTTP library. See the ``serialize_to_request`` docstring\n for more details.\n\nUnicode\n-------\n\nThe input to the serializers should be text (str/unicode), not bytes,\nwith the exception of blob types. Those are assumed to be binary,\nand if a str/unicode type is passed in, it will be encoded as utf-8.\n\"\"\"\nimport re\nimport base64\nfrom xml.etree import ElementTree\nimport calendar\n\nfrom botocore.compat import six\n\nfrom botocore.compat import json, formatdate\nfrom botocore.utils import parse_to_aware_datetime\nfrom botocore.utils import percent_encode\nfrom botocore import validate\n\n\n# From the spec, the default timestamp format if not specified is iso8601.\nDEFAULT_TIMESTAMP_FORMAT = 'iso8601'\nISO8601 = '%Y-%m-%dT%H:%M:%SZ'\n# Same as ISO8601, but with microsecond precision.\nISO8601_MICRO = '%Y-%m-%dT%H:%M:%S.%fZ'\n\n\ndef create_serializer(protocol_name, include_validation=True):\n # TODO: Unknown protocols.\n serializer = SERIALIZERS[protocol_name]()\n if include_validation:\n validator = validate.ParamValidator()\n serializer = validate.ParamValidationDecorator(validator, serializer)\n return serializer\n\n\nclass Serializer(object):\n DEFAULT_METHOD = 'POST'\n # Clients can change this to a different MutableMapping\n # (i.e OrderedDict) if they want. This is used in the\n # compliance test to match the hash ordering used in the\n # tests.\n MAP_TYPE = dict\n DEFAULT_ENCODING = 'utf-8'\n\n def serialize_to_request(self, parameters, operation_model):\n \"\"\"Serialize parameters into an HTTP request.\n\n This method takes user provided parameters and a shape\n model and serializes the parameters to an HTTP request.\n More specifically, this method returns information about\n parts of the HTTP request, it does not enforce a particular\n interface or standard for an HTTP request. It instead returns\n a dictionary of:\n\n * 'url_path'\n * 'query_string'\n * 'headers'\n * 'body'\n * 'method'\n\n It is then up to consumers to decide how to map this to a Request\n object of their HTTP library of choice. Below is an example\n return value::\n\n {'body': {'Action': 'OperationName',\n 'Bar': 'val2',\n 'Foo': 'val1',\n 'Version': '2014-01-01'},\n 'headers': {},\n 'method': 'POST',\n 'query_string': '',\n 'url_path': '/'}\n\n :param parameters: The dictionary input parameters for the\n operation (i.e the user input).\n :param operation_model: The OperationModel object that describes\n the operation.\n \"\"\"\n raise NotImplementedError(\"serialize_to_request\")\n\n def _create_default_request(self):\n # Creates a boilerplate default request dict that subclasses\n # can use as a starting point.\n serialized = {\n 'url_path': '/',\n 'query_string': '',\n 'method': self.DEFAULT_METHOD,\n 'headers': {},\n # An empty body is represented as an empty byte string.\n 'body': b''\n }\n return serialized\n\n # Some extra utility methods subclasses can use.\n\n def _timestamp_iso8601(self, value):\n if value.microsecond > 0:\n timestamp_format = ISO8601_MICRO\n else:\n timestamp_format = ISO8601\n return value.strftime(timestamp_format)\n\n def _timestamp_unixtimestamp(self, value):\n return int(calendar.timegm(value.timetuple()))\n\n def _timestamp_rfc822(self, value):\n return formatdate(value, usegmt=True)\n\n def _convert_timestamp_to_str(self, value):\n datetime_obj = parse_to_aware_datetime(value)\n converter = getattr(\n self, '_timestamp_%s' % self.TIMESTAMP_FORMAT.lower())\n final_value = converter(datetime_obj)\n return final_value\n\n def _get_serialized_name(self, shape, default_name):\n # Returns the serialized name for the shape if it exists.\n # Otherwise it will return the passed in default_name.\n return shape.serialization.get('name', default_name)\n\n def _get_base64(self, value):\n # Returns the base64-encoded version of value, handling\n # both strings and bytes. The returned value is a string\n # via the default encoding.\n if isinstance(value, six.text_type):\n value = value.encode(self.DEFAULT_ENCODING)\n return base64.b64encode(value).strip().decode(\n self.DEFAULT_ENCODING)\n\n\nclass QuerySerializer(Serializer):\n\n TIMESTAMP_FORMAT = 'iso8601'\n\n def serialize_to_request(self, parameters, operation_model):\n shape = operation_model.input_shape\n serialized = self._create_default_request()\n serialized['method'] = operation_model.http.get('method',\n self.DEFAULT_METHOD)\n # The query serializer only deals with body params so\n # that's what we hand off the _serialize_* methods.\n body_params = self.MAP_TYPE()\n body_params['Action'] = operation_model.name\n body_params['Version'] = operation_model.metadata['apiVersion']\n if shape is not None:\n self._serialize(body_params, parameters, shape)\n serialized['body'] = body_params\n return serialized\n\n def _serialize(self, serialized, value, shape, prefix=''):\n # serialized: The dict that is incrementally added to with the\n # final serialized parameters.\n # value: The current user input value.\n # shape: The shape object that describes the structure of the\n # input.\n # prefix: The incrementally built up prefix for the serialized\n # key (i.e Foo.bar.members.1).\n method = getattr(self, '_serialize_type_%s' % shape.type_name,\n self._default_serialize)\n method(serialized, value, shape, prefix=prefix)\n\n def _serialize_type_structure(self, serialized, value, shape, prefix=''):\n members = shape.members\n for key, value in value.items():\n member_shape = members[key]\n member_prefix = self._get_serialized_name(member_shape, key)\n if prefix:\n member_prefix = '%s.%s' % (prefix, member_prefix)\n self._serialize(serialized, value, member_shape, member_prefix)\n\n def _serialize_type_list(self, serialized, value, shape, prefix=''):\n if not value:\n # The query protocol serializes empty lists.\n serialized[prefix] = ''\n return\n if self._is_shape_flattened(shape):\n list_prefix = prefix\n if shape.member.serialization.get('name'):\n name = self._get_serialized_name(shape.member, default_name='')\n # Replace '.Original' with '.{name}'.\n list_prefix = '.'.join(prefix.split('.')[:-1] + [name])\n else:\n list_name = shape.member.serialization.get('name', 'member')\n list_prefix = '%s.%s' % (prefix, list_name)\n for i, element in enumerate(value, 1):\n element_prefix = '%s.%s' % (list_prefix, i)\n element_shape = shape.member\n self._serialize(serialized, element, element_shape, element_prefix)\n\n def _serialize_type_map(self, serialized, value, shape, prefix=''):\n if self._is_shape_flattened(shape):\n full_prefix = prefix\n else:\n full_prefix = '%s.entry' % prefix\n template = full_prefix + '.{i}.{suffix}'\n key_shape = shape.key\n value_shape = shape.value\n key_suffix = self._get_serialized_name(key_shape, default_name='key')\n value_suffix = self._get_serialized_name(value_shape, 'value')\n for i, key in enumerate(value, 1):\n key_prefix = template.format(i=i, suffix=key_suffix)\n value_prefix = template.format(i=i, suffix=value_suffix)\n self._serialize(serialized, key, key_shape, key_prefix)\n self._serialize(serialized, value[key], value_shape, value_prefix)\n\n def _serialize_type_blob(self, serialized, value, shape, prefix=''):\n # Blob args must be base64 encoded.\n serialized[prefix] = self._get_base64(value)\n\n def _serialize_type_timestamp(self, serialized, value, shape, prefix=''):\n serialized[prefix] = self._convert_timestamp_to_str(value)\n\n def _serialize_type_boolean(self, serialized, value, shape, prefix=''):\n if value:\n serialized[prefix] = 'true'\n else:\n serialized[prefix] = 'false'\n\n def _default_serialize(self, serialized, value, shape, prefix=''):\n serialized[prefix] = value\n\n def _is_shape_flattened(self, shape):\n return shape.serialization.get('flattened')\n\n\nclass EC2Serializer(QuerySerializer):\n \"\"\"EC2 specific customizations to the query protocol serializers.\n\n The EC2 model is almost, but not exactly, similar to the query protocol\n serializer. This class encapsulates those differences. The model\n will have be marked with a ``protocol`` of ``ec2``, so you don't need\n to worry about wiring this class up correctly.\n\n \"\"\"\n def _get_serialized_name(self, shape, default_name):\n # Returns the serialized name for the shape if it exists.\n # Otherwise it will return the passed in default_name.\n if 'queryName' in shape.serialization:\n return shape.serialization['queryName']\n elif 'name' in shape.serialization:\n # A locationName is always capitalized\n # on input for the ec2 protocol.\n name = shape.serialization['name']\n return name[0].upper() + name[1:]\n else:\n return default_name\n\n def _serialize_type_list(self, serialized, value, shape, prefix=''):\n for i, element in enumerate(value, 1):\n element_prefix = '%s.%s' % (prefix, i)\n element_shape = shape.member\n self._serialize(serialized, element, element_shape, element_prefix)\n\n\nclass JSONSerializer(Serializer):\n TIMESTAMP_FORMAT = 'unixtimestamp'\n\n def serialize_to_request(self, parameters, operation_model):\n target = '%s.%s' % (operation_model.metadata['targetPrefix'],\n operation_model.name)\n json_version = operation_model.metadata['jsonVersion']\n serialized = self._create_default_request()\n serialized['method'] = operation_model.http.get('method',\n self.DEFAULT_METHOD)\n serialized['headers'] = {\n 'X-Amz-Target': target,\n 'Content-Type': 'application/x-amz-json-%s' % json_version,\n }\n body = {}\n input_shape = operation_model.input_shape\n if input_shape is not None:\n self._serialize(body, parameters, input_shape)\n serialized['body'] = json.dumps(body).encode(self.DEFAULT_ENCODING)\n return serialized\n\n def _serialize(self, serialized, value, shape, key=None):\n method = getattr(self, '_serialize_type_%s' % shape.type_name,\n self._default_serialize)\n method(serialized, value, shape, key)\n\n def _serialize_type_structure(self, serialized, value, shape, key):\n if key is not None:\n # If a key is provided, this is a result of a recursive\n # call so we need to add a new child dict as the value\n # of the passed in serialized dict. We'll then add\n # all the structure members as key/vals in the new serialized\n # dictionary we just created.\n new_serialized = self.MAP_TYPE()\n serialized[key] = new_serialized\n serialized = new_serialized\n members = shape.members\n for member_key, member_value in value.items():\n member_shape = members[member_key]\n if 'name' in member_shape.serialization:\n member_key = member_shape.serialization['name']\n self._serialize(serialized, member_value, member_shape, member_key)\n\n def _serialize_type_map(self, serialized, value, shape, key):\n map_obj = self.MAP_TYPE()\n serialized[key] = map_obj\n for sub_key, sub_value in value.items():\n self._serialize(map_obj, sub_value, shape.value, sub_key)\n\n def _serialize_type_list(self, serialized, value, shape, key):\n list_obj = []\n serialized[key] = list_obj\n for list_item in value:\n wrapper = {}\n # The JSON list serialization is the only case where we aren't\n # setting a key on a dict. We handle this by using\n # a __current__ key on a wrapper dict to serialize each\n # list item before appending it to the serialized list.\n self._serialize(wrapper, list_item, shape.member, \"__current__\")\n list_obj.append(wrapper[\"__current__\"])\n\n def _default_serialize(self, serialized, value, shape, key):\n serialized[key] = value\n\n def _serialize_type_timestamp(self, serialized, value, shape, key):\n serialized[key] = self._convert_timestamp_to_str(value)\n\n def _serialize_type_blob(self, serialized, value, shape, key):\n serialized[key] = self._get_base64(value)\n\n\nclass BaseRestSerializer(Serializer):\n \"\"\"Base class for rest protocols.\n\n The only variance between the various rest protocols is the\n way that the body is serialized. All other aspects (headers, uri, etc.)\n are the same and logic for serializing those aspects lives here.\n\n Subclasses must implement the ``_serialize_body_params`` method.\n\n \"\"\"\n # This is a list of known values for the \"location\" key in the\n # serialization dict. The location key tells us where on the request\n # to put the serialized value.\n KNOWN_LOCATIONS = ['uri', 'querystring', 'header', 'headers']\n\n def serialize_to_request(self, parameters, operation_model):\n serialized = self._create_default_request()\n serialized['method'] = operation_model.http.get('method',\n self.DEFAULT_METHOD)\n shape = operation_model.input_shape\n if shape is None:\n serialized['url_path'] = operation_model.http['requestUri']\n return serialized\n shape_members = shape.members\n # While the ``serialized`` key holds the final serialized request\n # data, we need interim dicts for the various locations of the\n # request. We need this for the uri_path_kwargs and the\n # query_string_kwargs because they are templated, so we need\n # to gather all the needed data for the string template,\n # then we render the template. The body_kwargs is needed\n # because once we've collected them all, we run them through\n # _serialize_body_params, which for rest-json, creates JSON,\n # and for rest-xml, will create XML. This is what the\n # ``partitioned`` dict below is for.\n partitioned = {\n 'uri_path_kwargs': self.MAP_TYPE(),\n 'query_string_kwargs': self.MAP_TYPE(),\n 'body_kwargs': self.MAP_TYPE(),\n 'headers': self.MAP_TYPE(),\n }\n for param_name, param_value in parameters.items():\n if param_value is None:\n # Don't serialize any parameter with a None value.\n continue\n self._partition_parameters(partitioned, param_name, param_value,\n shape_members)\n serialized['url_path'] = self._render_uri_template(\n operation_model.http['requestUri'],\n partitioned['uri_path_kwargs'])\n # Note that we lean on the http implementation to handle the case\n # where the requestUri path already has query parameters.\n # The bundled http client, requests, already supports this.\n serialized['query_string'] = partitioned['query_string_kwargs']\n if partitioned['headers']:\n serialized['headers'] = partitioned['headers']\n self._serialize_payload(partitioned, parameters,\n serialized, shape, shape_members)\n return serialized\n\n def _render_uri_template(self, uri_template, params):\n # We need to handle two cases::\n #\n # /{Bucket}/foo\n # /{Key+}/bar\n # A label ending with '+' is greedy. There can only\n # be one greedy key.\n encoded_params = {}\n for template_param in re.findall(r'{(.*?)}', uri_template):\n if template_param.endswith('+'):\n encoded_params[template_param] = percent_encode(\n params[template_param[:-1]], safe='/~')\n else:\n encoded_params[template_param] = percent_encode(\n params[template_param])\n return uri_template.format(**encoded_params)\n\n def _serialize_payload(self, partitioned, parameters,\n serialized, shape, shape_members):\n # partitioned - The user input params partitioned by location.\n # parameters - The user input params.\n # serialized - The final serialized request dict.\n # shape - Describes the expected input shape\n # shape_members - The members of the input struct shape\n payload_member = shape.serialization.get('payload')\n if payload_member is not None and \\\n shape_members[payload_member].type_name in ['blob', 'string']:\n # If it's streaming, then the body is just the\n # value of the payload.\n body_payload = parameters.get(payload_member, b'')\n body_payload = self._encode_payload(body_payload)\n serialized['body'] = body_payload\n elif payload_member is not None:\n # If there's a payload member, we serialized that\n # member to they body.\n body_params = parameters.get(payload_member)\n if body_params is not None:\n serialized['body'] = self._serialize_body_params(\n body_params,\n shape_members[payload_member])\n elif partitioned['body_kwargs']:\n serialized['body'] = self._serialize_body_params(\n partitioned['body_kwargs'], shape)\n\n def _encode_payload(self, body):\n if isinstance(body, six.text_type):\n return body.encode(self.DEFAULT_ENCODING)\n return body\n\n def _partition_parameters(self, partitioned, param_name,\n param_value, shape_members):\n # This takes the user provided input parameter (``param``)\n # and figures out where they go in the request dict.\n # Some params are HTTP headers, some are used in the URI, some\n # are in the request body. This method deals with this.\n member = shape_members[param_name]\n location = member.serialization.get('location')\n key_name = member.serialization.get('name', param_name)\n if location == 'uri':\n partitioned['uri_path_kwargs'][key_name] = param_value\n elif location == 'querystring':\n if isinstance(param_value, dict):\n partitioned['query_string_kwargs'].update(param_value)\n else:\n partitioned['query_string_kwargs'][key_name] = param_value\n elif location == 'header':\n shape = shape_members[param_name]\n value = self._convert_header_value(shape, param_value)\n partitioned['headers'][key_name] = str(value)\n elif location == 'headers':\n # 'headers' is a bit of an oddball. The ``key_name``\n # is actually really a prefix for the header names:\n header_prefix = key_name\n # The value provided by the user is a dict so we'll be\n # creating multiple header key/val pairs. The key\n # name to use for each header is the header_prefix (``key_name``)\n # plus the key provided by the user.\n self._do_serialize_header_map(header_prefix,\n partitioned['headers'],\n param_value)\n else:\n partitioned['body_kwargs'][param_name] = param_value\n\n def _do_serialize_header_map(self, header_prefix, headers, user_input):\n for key, val in user_input.items():\n full_key = header_prefix + key\n headers[full_key] = val\n\n def _serialize_body_params(self, params, shape):\n raise NotImplementedError('_serialize_body_params')\n\n def _convert_header_value(self, shape, value):\n if shape.type_name == 'timestamp':\n datetime_obj = parse_to_aware_datetime(value)\n timestamp = calendar.timegm(datetime_obj.utctimetuple())\n return self._timestamp_rfc822(timestamp)\n else:\n return value\n\n\nclass RestJSONSerializer(BaseRestSerializer, JSONSerializer):\n\n def _serialize_body_params(self, params, shape):\n serialized_body = self.MAP_TYPE()\n self._serialize(serialized_body, params, shape)\n return json.dumps(serialized_body).encode(self.DEFAULT_ENCODING)\n\n\nclass RestXMLSerializer(BaseRestSerializer):\n TIMESTAMP_FORMAT = 'iso8601'\n\n def _serialize_body_params(self, params, shape):\n root_name = shape.serialization['name']\n pseudo_root = ElementTree.Element('')\n self._serialize(shape, params, pseudo_root, root_name)\n real_root = list(pseudo_root)[0]\n return ElementTree.tostring(real_root, encoding=self.DEFAULT_ENCODING)\n\n def _serialize(self, shape, params, xmlnode, name):\n method = getattr(self, '_serialize_type_%s' % shape.type_name,\n self._default_serialize)\n method(xmlnode, params, shape, name)\n\n def _serialize_type_structure(self, xmlnode, params, shape, name):\n structure_node = ElementTree.SubElement(xmlnode, name)\n\n if 'xmlNamespace' in shape.serialization:\n namespace_metadata = shape.serialization['xmlNamespace']\n attribute_name = 'xmlns'\n if namespace_metadata.get('prefix'):\n attribute_name += ':%s' % namespace_metadata['prefix']\n structure_node.attrib[attribute_name] = namespace_metadata['uri']\n for key, value in params.items():\n member_shape = shape.members[key]\n member_name = member_shape.serialization.get('name', key)\n # We need to special case member shapes that are marked as an\n # xmlAttribute. Rather than serializing into an XML child node,\n # we instead serialize the shape to an XML attribute of the\n # *current* node.\n if value is None:\n # Don't serialize any param whose value is None.\n return\n if member_shape.serialization.get('xmlAttribute'):\n # xmlAttributes must have a serialization name.\n xml_attribute_name = member_shape.serialization['name']\n structure_node.attrib[xml_attribute_name] = value\n continue\n self._serialize(member_shape, value, structure_node, member_name)\n\n def _serialize_type_list(self, xmlnode, params, shape, name):\n member_shape = shape.member\n if shape.serialization.get('flattened'):\n element_name = name\n list_node = xmlnode\n else:\n element_name = member_shape.serialization.get('name', 'member')\n list_node = ElementTree.SubElement(xmlnode, name)\n for item in params:\n self._serialize(member_shape, item, list_node, element_name)\n\n def _serialize_type_map(self, xmlnode, params, shape, name):\n # Given the ``name`` of MyMap, and input of {\"key1\": \"val1\"}\n # we serialize this as:\n # <MyMap>\n # <entry>\n # <key>key1</key>\n # <value>val1</value>\n # </entry>\n # </MyMap>\n node = ElementTree.SubElement(xmlnode, name)\n # TODO: handle flattened maps.\n for key, value in params.items():\n entry_node = ElementTree.SubElement(node, 'entry')\n key_name = self._get_serialized_name(shape.key, default_name='key')\n val_name = self._get_serialized_name(shape.value,\n default_name='value')\n self._serialize(shape.key, key, entry_node, key_name)\n self._serialize(shape.value, value, entry_node, val_name)\n\n def _serialize_type_boolean(self, xmlnode, params, shape, name):\n # For scalar types, the 'params' attr is actually just a scalar\n # value representing the data we need to serialize as a boolean.\n # It will either be 'true' or 'false'\n node = ElementTree.SubElement(xmlnode, name)\n if params:\n str_value = 'true'\n else:\n str_value = 'false'\n node.text = str_value\n\n def _serialize_type_blob(self, xmlnode, params, shape, name):\n node = ElementTree.SubElement(xmlnode, name)\n node.text = self._get_base64(params)\n\n def _serialize_type_timestamp(self, xmlnode, params, shape, name):\n node = ElementTree.SubElement(xmlnode, name)\n node.text = self._convert_timestamp_to_str(params)\n\n def _default_serialize(self, xmlnode, params, shape, name):\n node = ElementTree.SubElement(xmlnode, name)\n node.text = six.text_type(params)\n\n\nSERIALIZERS = {\n 'ec2': EC2Serializer,\n 'query': QuerySerializer,\n 'json': JSONSerializer,\n 'rest-json': RestJSONSerializer,\n 'rest-xml': RestXMLSerializer,\n}\n", "path": "botocore/serialize.py" } ]
diff --git a/.changes/next-release/bugfix-Serializer.json b/.changes/next-release/bugfix-Serializer.json new file mode 100644 index 0000000000..5a136ea2d0 --- /dev/null +++ b/.changes/next-release/bugfix-Serializer.json @@ -0,0 +1,5 @@ +{ + "category": "Serializer", + "type": "bugfix", + "description": "In the rest xml parser, we were converting the input we recieve into a `str`, which was causing failures on python 2 when multibyte unicode strings were passed in. The fix is to simply use `six.text_type`, which is `unicode` on 2 and `str` on 3. The string will be encoded into the default encoding later on in the serializer. Fixes `#868 <https://github.com/boto/botocore/issues/868>`__" +} \ No newline at end of file diff --git a/botocore/serialize.py b/botocore/serialize.py index 641a73bff1..873acdb7f5 100644 --- a/botocore/serialize.py +++ b/botocore/serialize.py @@ -615,7 +615,7 @@ def _serialize_type_timestamp(self, xmlnode, params, shape, name): def _default_serialize(self, xmlnode, params, shape, name): node = ElementTree.SubElement(xmlnode, name) - node.text = str(params) + node.text = six.text_type(params) SERIALIZERS = { diff --git a/tests/unit/test_serialize.py b/tests/unit/test_serialize.py index a7399bf431..37c7a3e433 100644 --- a/tests/unit/test_serialize.py +++ b/tests/unit/test_serialize.py @@ -440,3 +440,56 @@ def setUp(self): def test_always_serialized_as_str(self): request = self.serialize_to_request({'ContentLength': 100}) self.assertEqual(request['headers']['Content-Length'], '100') + + +class TestRestXMLUnicodeSerialization(unittest.TestCase): + def setUp(self): + self.model = { + 'metadata': {'protocol': 'rest-xml', 'apiVersion': '2014-01-01'}, + 'documentation': '', + 'operations': { + 'TestOperation': { + 'name': 'TestOperation', + 'http': { + 'method': 'POST', + 'requestUri': '/', + }, + 'input': {'shape': 'InputShape'}, + } + }, + 'shapes': { + 'InputShape': { + 'type': 'structure', + 'members': { + 'Foo': { + 'shape': 'FooShape', + 'locationName': 'Foo' + }, + }, + 'payload': 'Foo' + }, + 'FooShape': { + 'type': 'list', + 'member': {'shape': 'StringShape'} + }, + 'StringShape': { + 'type': 'string', + } + } + } + self.service_model = ServiceModel(self.model) + + def serialize_to_request(self, input_params): + request_serializer = serialize.create_serializer( + self.service_model.metadata['protocol']) + return request_serializer.serialize_to_request( + input_params, self.service_model.operation_model('TestOperation')) + + def test_restxml_serializes_unicode(self): + params = { + 'Foo': [u'\u65e5\u672c\u8a9e\u3067\u304a\uff4b'] + } + try: + self.serialize_to_request(params) + except UnicodeEncodeError: + self.fail("RestXML serializer failed to serialize unicode text.")
RestXMLSerializer has problem with multi-byte unicode strings py2.7 Environment: - Amazon Linux AMI 2016.03.0 (HVM) - Python: 2.7.10 - boto3: 1.3.0 - botocore: 1.4.9 Reproduce: ``` python >>> import boto3 >>> client = boto3.client('s3') >>> bucket = '<your-bucket-name>' >>> key = u'日本語でおｋ' >>> client.put_object(Bucket=bucket, Key=key) >>> client.delete_objects(Bucket=bucket, Delete={'Objects': [{'Key': key}]}) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/client.py", line 236, in _api_call return self._make_api_call(operation_name, kwargs) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/client.py", line 476, in _make_api_call api_params, operation_model, context=request_context) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/client.py", line 529, in _convert_to_request_dict api_params, operation_model) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/validate.py", line 271, in serialize_to_request operation_model) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 415, in serialize_to_request serialized, shape, shape_members) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 457, in _serialize_payload shape_members[payload_member]) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 532, in _serialize_body_params self._serialize(shape, params, pseudo_root, root_name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 539, in _serialize method(xmlnode, params, shape, name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 565, in _serialize_type_structure self._serialize(member_shape, value, structure_node, member_name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 539, in _serialize method(xmlnode, params, shape, name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 576, in _serialize_type_list self._serialize(member_shape, item, list_node, element_name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 539, in _serialize method(xmlnode, params, shape, name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 565, in _serialize_type_structure self._serialize(member_shape, value, structure_node, member_name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 539, in _serialize method(xmlnode, params, shape, name) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 618, in _default_serialize node.text = str(params) UnicodeEncodeError: 'ascii' codec can't encode characters in position 0-5: ordinal not in range(128) ``` Otherwise, pass with multi-byte non unicode string cause another exception. ``` python >>> client.delete_objects(Bucket=bucket, Delete={'Objects': [{'Key': '日本語でおｋ'}]}) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/client.py", line 236, in _api_call return self._make_api_call(operation_name, kwargs) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/client.py", line 476, in _make_api_call api_params, operation_model, context=request_context) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/client.py", line 529, in _convert_to_request_dict api_params, operation_model) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/validate.py", line 271, in serialize_to_request operation_model) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 415, in serialize_to_request serialized, shape, shape_members) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 457, in _serialize_payload shape_members[payload_member]) File "/home/ec2-user/Workspace/test/local/lib/python2.7/site-packages/botocore/serialize.py", line 534, in _serialize_body_params return ElementTree.tostring(real_root, encoding=self.DEFAULT_ENCODING) File "/usr/lib64/python2.7/xml/etree/ElementTree.py", line 1126, in tostring ElementTree(element).write(file, encoding, method=method) File "/usr/lib64/python2.7/xml/etree/ElementTree.py", line 820, in write serialize(write, self._root, encoding, qnames, namespaces) File "/usr/lib64/python2.7/xml/etree/ElementTree.py", line 939, in _serialize_xml _serialize_xml(write, e, encoding, qnames, None) File "/usr/lib64/python2.7/xml/etree/ElementTree.py", line 939, in _serialize_xml _serialize_xml(write, e, encoding, qnames, None) File "/usr/lib64/python2.7/xml/etree/ElementTree.py", line 937, in _serialize_xml write(_escape_cdata(text, encoding)) File "/usr/lib64/python2.7/xml/etree/ElementTree.py", line 1073, in _escape_cdata return text.encode(encoding, "xmlcharrefreplace") UnicodeDecodeError: 'ascii' codec can't decode byte 0xe6 in position 0: ordinal not in range(128) ``` At least, multi-byte string cannot be prohibited, I thought. Fixes of the code will vary depending on which is right. Needed the opinions.
sktime__sktime-3167
[ { "content": "#!/usr/bin/env python3 -u\n# -*- coding: utf-8 -*-\n\n\"\"\"Functions for checking input data.\"\"\"\n\n__author__ = [\"Markus Löning\", \"Drishti Bhasin\", \"khrapovs\"]\n__all__ = [\n \"check_series\",\n \"check_time_index\",\n \"check_equal_time_index\",\n \"check_consistent_index_type\",\n]\n\nfrom typing import Union\n\nimport numpy as np\nimport pandas as pd\n\n# We currently support the following types for input data and time index types.\nVALID_DATA_TYPES = (pd.DataFrame, pd.Series, np.ndarray)\nVALID_INDEX_TYPES = (pd.RangeIndex, pd.PeriodIndex, pd.DatetimeIndex, pd.TimedeltaIndex)\nRELATIVE_INDEX_TYPES = (pd.RangeIndex, pd.TimedeltaIndex)\nABSOLUTE_INDEX_TYPES = (pd.RangeIndex, pd.DatetimeIndex, pd.PeriodIndex)\nassert set(RELATIVE_INDEX_TYPES).issubset(VALID_INDEX_TYPES)\nassert set(ABSOLUTE_INDEX_TYPES).issubset(VALID_INDEX_TYPES)\n\n\ndef is_integer_index(x) -> bool:\n \"\"\"Check that the input is an integer pd.Index.\"\"\"\n return isinstance(x, pd.Index) and x.is_integer()\n\n\ndef is_in_valid_index_types(x) -> bool:\n \"\"\"Check that the input type belongs to the valid index types.\"\"\"\n return isinstance(x, VALID_INDEX_TYPES) or is_integer_index(x)\n\n\ndef is_in_valid_relative_index_types(x) -> bool:\n return isinstance(x, RELATIVE_INDEX_TYPES) or is_integer_index(x)\n\n\ndef is_in_valid_absolute_index_types(x) -> bool:\n return isinstance(x, ABSOLUTE_INDEX_TYPES) or is_integer_index(x)\n\n\ndef _check_is_univariate(y, var_name=\"input\"):\n \"\"\"Check if series is univariate.\"\"\"\n if isinstance(y, pd.DataFrame):\n nvars = y.shape[1]\n if nvars > 1:\n raise ValueError(\n f\"{var_name} must be univariate, but found {nvars} variables.\"\n )\n if isinstance(y, np.ndarray) and y.ndim > 1 and y.shape[1] > 1:\n raise ValueError(\n f\"{var_name} must be univariate, but found np.ndarray with more than \"\n \"one column\"\n )\n\n\ndef _check_is_multivariate(Z, var_name=\"input\"):\n \"\"\"Check if series is multivariate.\"\"\"\n if isinstance(Z, pd.Series):\n raise ValueError(f\"{var_name} must have 2 or more variables, but found 1.\")\n if isinstance(Z, pd.DataFrame):\n nvars = Z.shape[1]\n if nvars < 2:\n raise ValueError(\n f\"{var_name} must have 2 or more variables, but found {nvars}.\"\n )\n if isinstance(Z, np.ndarray):\n if Z.ndim == 1 or (Z.ndim == 2 and Z.shape[1] == 1):\n raise ValueError(f\"{var_name} must have 2 or more variables, but found 1.\")\n\n\ndef check_series(\n Z,\n enforce_univariate=False,\n enforce_multivariate=False,\n allow_empty=False,\n allow_numpy=True,\n allow_None=True,\n enforce_index_type=None,\n allow_index_names=False,\n var_name=\"input\",\n):\n \"\"\"Validate input data to be a valid mtype for Series.\n\n Parameters\n ----------\n Z : pd.Series, pd.DataFrame, np.ndarray, or None\n Univariate or multivariate time series.\n enforce_univariate : bool, default = False\n If True, multivariate Z will raise an error.\n enforce_multivariate: bool, default = False\n If True, univariate Z will raise an error.\n allow_empty : bool, default = False\n whether a container with zero samples is allowed\n allow_numpy : bool, default = True\n whether no error is raised if Z is in a valid numpy.ndarray format\n allow_None : bool, default = True\n whether no error is raised if Z is None\n enforce_index_type : type, default = None\n type of time index\n allow_index_names : bool, default = False\n If False, names of Z.index will be set to None\n var_name : str, default = \"input\" - variable name printed in error messages\n\n Returns\n -------\n Z : pd.Series, pd.DataFrame, np.ndarray, or None\n Validated time series - a reference to the input Z\n\n Raises\n ------\n TypeError - if Z is not in a valid type or format for scitype Series\n if enforce_univariate is True:\n ValueError if Z has 2 or more columns\n if enforce_multivariate is True:\n ValueError if Z has 1 column\n if allow_numpy is false:\n TypeError - if Z is of type np.ndarray\n if allow_empty is false:\n ValueError - if Z has length 0\n if allow_None is false:\n ValueError - if Z is None\n if enforce_index_type is not None and Z is pandas type:\n ValueError - if Z has index type other than enforce_index_type\n \"\"\"\n if Z is None:\n if allow_None:\n return Z\n else:\n raise ValueError(var_name + \" cannot be None\")\n\n # Check if pandas series or numpy array\n if not allow_numpy:\n valid_data_types = tuple(\n filter(lambda x: x is not np.ndarray, VALID_DATA_TYPES)\n )\n else:\n valid_data_types = VALID_DATA_TYPES\n\n if not isinstance(Z, valid_data_types):\n raise TypeError(\n f\"{var_name} must be a one of {valid_data_types}, but found type: {type(Z)}\"\n )\n\n if enforce_univariate and enforce_multivariate:\n raise ValueError(\n \"`enforce_univariate` and `enforce_multivariate` cannot both be set to \"\n \"True.\"\n )\n\n if enforce_univariate:\n _check_is_univariate(Z, var_name=var_name)\n\n if enforce_multivariate:\n _check_is_multivariate(Z, var_name=var_name)\n\n # check time index if input data is not an NumPy ndarray\n if not isinstance(Z, np.ndarray):\n check_time_index(\n Z.index,\n allow_empty=allow_empty,\n enforce_index_type=enforce_index_type,\n var_name=var_name,\n )\n\n if not allow_index_names and not isinstance(Z, np.ndarray):\n Z.index.names = [None for name in Z.index.names]\n\n return Z\n\n\ndef check_time_index(\n index: Union[pd.Index, np.array],\n allow_empty: bool = False,\n enforce_index_type: bool = None,\n var_name: str = \"input\",\n) -> pd.Index:\n \"\"\"Check time index.\n\n Parameters\n ----------\n index : pd.Index or np.array\n Time index\n allow_empty : bool, optional (default=False)\n If False, empty `index` raises an error.\n enforce_index_type : type, optional (default=None)\n type of time index\n var_name : str, default = \"input\" - variable name printed in error messages\n\n Returns\n -------\n time_index : pd.Index\n Validated time index - a reference to the input index\n \"\"\"\n if isinstance(index, np.ndarray):\n index = pd.Index(index)\n\n # We here check for type equality because isinstance does not\n # work reliably because index types inherit from each other.\n if not is_in_valid_index_types(index):\n raise NotImplementedError(\n f\"{type(index)} is not supported for {var_name}, use \"\n f\"one of {VALID_INDEX_TYPES} instead.\"\n )\n\n if enforce_index_type and type(index) is not enforce_index_type:\n raise NotImplementedError(\n f\"{type(index)} is not supported for {var_name}, use \"\n f\"type: {enforce_index_type} or integer pd.Index instead.\"\n )\n\n # Check time index is ordered in time\n if not index.is_monotonic:\n raise ValueError(\n f\"The (time) index of {var_name} must be sorted monotonically increasing, \"\n f\"but found: {index}\"\n )\n\n # Check that index is not empty\n if not allow_empty and len(index) < 1:\n raise ValueError(\n f\"{var_name} must contain at least some values, but found none.\"\n )\n\n return index\n\n\ndef check_equal_time_index(*ys, mode=\"equal\"):\n \"\"\"Check that time series have the same (time) indices.\n\n Parameters\n ----------\n *ys : tuple of sktime compatible time series data containers\n must be pd.Series, pd.DataFrame or 1/2D np.ndarray, or None\n can be Series, Panel, Hierarchical, but must be pandas or numpy\n note: this assumption is not checked by the function itself\n if check is needed, use check_is_scitype or check_is_mtype before call\n mode : str, \"equal\" or \"contained\", optional, default = \"equal\"\n if \"equal\" will check for all indices being exactly equal\n if \"contained\", will check whether all indices are subset of ys[0].index\n\n Raises\n ------\n ValueError\n if mode = \"equal\", raised if there are at least two non-None entries of ys\n of which pandas indices are not the same\n if mode = \"contained, raised if there is at least one non-None ys[i]\n such that ys[i].index is not contained in ys[o].index\n np.ndarray are considered having (pandas) integer range index on axis 0\n \"\"\"\n # None entries are ignored\n y_not_None = [y for y in ys if y is not None]\n\n # if there is no or just one element, there is nothing to compare\n if len(y_not_None) < 2:\n return None\n\n # only validate indices if data is passed as pd.Series\n if isinstance(y_not_None[0], np.ndarray):\n first_index = pd.Index(range(len(y_not_None[0])))\n else:\n first_index = y_not_None[0].index\n\n for i, y in enumerate(y_not_None[1:]):\n if isinstance(y, np.ndarray):\n y_index = pd.Index(y)\n else:\n y_index = y.index\n\n if mode == \"equal\":\n failure_cond = not first_index.equals(y_index)\n msg = (\n f\"(time) indices are not the same, series 0 and {i} \"\n f\"differ in the following: {first_index.symmetric_difference(y_index)}.\"\n )\n elif mode == \"contains\":\n failure_cond = not y_index.isin(first_index).all()\n msg = (\n f\"(time) indices of series {i} are not contained in index of series 0,\"\n f\" extra indices are: {y_index.difference(first_index)}\"\n )\n else:\n raise ValueError('mode must be \"equal\" or \"contains\"')\n\n if failure_cond:\n raise ValueError(msg)\n\n\ndef check_consistent_index_type(a, b):\n \"\"\"Check that two indices have consistent types.\n\n Parameters\n ----------\n a : pd.Index\n Index being checked for consistency\n b : pd.Index\n Index being checked for consistency\n\n Raises\n ------\n TypeError\n If index types are inconsistent\n \"\"\"\n msg = (\n \"Found series with inconsistent index types, please make sure all \"\n \"series have the same index type.\"\n )\n\n if is_integer_index(a):\n if not is_integer_index(b):\n raise TypeError(msg)\n\n else:\n # check types, note that isinstance() does not work here because index\n # types inherit from each other, hence we check for type equality\n if not type(a) is type(b): # noqa\n raise TypeError(msg)\n", "path": "sktime/utils/validation/series.py" } ]
[ { "content": "#!/usr/bin/env python3 -u\n# -*- coding: utf-8 -*-\n\n\"\"\"Functions for checking input data.\"\"\"\n\n__author__ = [\"Markus Löning\", \"Drishti Bhasin\", \"khrapovs\"]\n__all__ = [\n \"check_series\",\n \"check_time_index\",\n \"check_equal_time_index\",\n \"check_consistent_index_type\",\n]\n\nfrom typing import Union\n\nimport numpy as np\nimport pandas as pd\n\n# We currently support the following types for input data and time index types.\nVALID_DATA_TYPES = (pd.DataFrame, pd.Series, np.ndarray)\nVALID_INDEX_TYPES = (pd.RangeIndex, pd.PeriodIndex, pd.DatetimeIndex, pd.TimedeltaIndex)\nRELATIVE_INDEX_TYPES = (pd.RangeIndex, pd.TimedeltaIndex)\nABSOLUTE_INDEX_TYPES = (pd.RangeIndex, pd.DatetimeIndex, pd.PeriodIndex)\nassert set(RELATIVE_INDEX_TYPES).issubset(VALID_INDEX_TYPES)\nassert set(ABSOLUTE_INDEX_TYPES).issubset(VALID_INDEX_TYPES)\n\n\ndef is_integer_index(x) -> bool:\n \"\"\"Check that the input is an integer pd.Index.\"\"\"\n return isinstance(x, pd.Index) and x.is_integer()\n\n\ndef is_in_valid_index_types(x) -> bool:\n \"\"\"Check that the input type belongs to the valid index types.\"\"\"\n return isinstance(x, VALID_INDEX_TYPES) or is_integer_index(x)\n\n\ndef is_in_valid_relative_index_types(x) -> bool:\n return isinstance(x, RELATIVE_INDEX_TYPES) or is_integer_index(x)\n\n\ndef is_in_valid_absolute_index_types(x) -> bool:\n return isinstance(x, ABSOLUTE_INDEX_TYPES) or is_integer_index(x)\n\n\ndef _check_is_univariate(y, var_name=\"input\"):\n \"\"\"Check if series is univariate.\"\"\"\n if isinstance(y, pd.DataFrame):\n nvars = y.shape[1]\n if nvars > 1:\n raise ValueError(\n f\"{var_name} must be univariate, but found {nvars} variables.\"\n )\n if isinstance(y, np.ndarray) and y.ndim > 1 and y.shape[1] > 1:\n raise ValueError(\n f\"{var_name} must be univariate, but found np.ndarray with more than \"\n \"one column\"\n )\n\n\ndef _check_is_multivariate(Z, var_name=\"input\"):\n \"\"\"Check if series is multivariate.\"\"\"\n if isinstance(Z, pd.Series):\n raise ValueError(f\"{var_name} must have 2 or more variables, but found 1.\")\n if isinstance(Z, pd.DataFrame):\n nvars = Z.shape[1]\n if nvars < 2:\n raise ValueError(\n f\"{var_name} must have 2 or more variables, but found {nvars}.\"\n )\n if isinstance(Z, np.ndarray):\n if Z.ndim == 1 or (Z.ndim == 2 and Z.shape[1] == 1):\n raise ValueError(f\"{var_name} must have 2 or more variables, but found 1.\")\n\n\ndef check_series(\n Z,\n enforce_univariate=False,\n enforce_multivariate=False,\n allow_empty=False,\n allow_numpy=True,\n allow_None=True,\n enforce_index_type=None,\n allow_index_names=False,\n var_name=\"input\",\n):\n \"\"\"Validate input data to be a valid mtype for Series.\n\n Parameters\n ----------\n Z : pd.Series, pd.DataFrame, np.ndarray, or None\n Univariate or multivariate time series.\n enforce_univariate : bool, default = False\n If True, multivariate Z will raise an error.\n enforce_multivariate: bool, default = False\n If True, univariate Z will raise an error.\n allow_empty : bool, default = False\n whether a container with zero samples is allowed\n allow_numpy : bool, default = True\n whether no error is raised if Z is in a valid numpy.ndarray format\n allow_None : bool, default = True\n whether no error is raised if Z is None\n enforce_index_type : type, default = None\n type of time index\n allow_index_names : bool, default = False\n If False, names of Z.index will be set to None\n var_name : str, default = \"input\" - variable name printed in error messages\n\n Returns\n -------\n Z : pd.Series, pd.DataFrame, np.ndarray, or None\n Validated time series - a reference to the input Z\n\n Raises\n ------\n TypeError - if Z is not in a valid type or format for scitype Series\n if enforce_univariate is True:\n ValueError if Z has 2 or more columns\n if enforce_multivariate is True:\n ValueError if Z has 1 column\n if allow_numpy is false:\n TypeError - if Z is of type np.ndarray\n if allow_empty is false:\n ValueError - if Z has length 0\n if allow_None is false:\n ValueError - if Z is None\n if enforce_index_type is not None and Z is pandas type:\n ValueError - if Z has index type other than enforce_index_type\n \"\"\"\n if Z is None:\n if allow_None:\n return Z\n else:\n raise ValueError(var_name + \" cannot be None\")\n\n # Check if pandas series or numpy array\n if not allow_numpy:\n valid_data_types = tuple(\n filter(lambda x: x is not np.ndarray, VALID_DATA_TYPES)\n )\n else:\n valid_data_types = VALID_DATA_TYPES\n\n if not isinstance(Z, valid_data_types):\n raise TypeError(\n f\"{var_name} must be a one of {valid_data_types}, but found type: {type(Z)}\"\n )\n\n if enforce_univariate and enforce_multivariate:\n raise ValueError(\n \"`enforce_univariate` and `enforce_multivariate` cannot both be set to \"\n \"True.\"\n )\n\n if enforce_univariate:\n _check_is_univariate(Z, var_name=var_name)\n\n if enforce_multivariate:\n _check_is_multivariate(Z, var_name=var_name)\n\n # check time index if input data is not an NumPy ndarray\n if not isinstance(Z, np.ndarray):\n check_time_index(\n Z.index,\n allow_empty=allow_empty,\n enforce_index_type=enforce_index_type,\n var_name=var_name,\n )\n\n if not allow_index_names and not isinstance(Z, np.ndarray):\n Z.index.names = [None for name in Z.index.names]\n\n return Z\n\n\ndef check_time_index(\n index: Union[pd.Index, np.array],\n allow_empty: bool = False,\n enforce_index_type: bool = None,\n var_name: str = \"input\",\n) -> pd.Index:\n \"\"\"Check time index.\n\n Parameters\n ----------\n index : pd.Index or np.array\n Time index\n allow_empty : bool, optional (default=False)\n If False, empty `index` raises an error.\n enforce_index_type : type, optional (default=None)\n type of time index\n var_name : str, default = \"input\" - variable name printed in error messages\n\n Returns\n -------\n time_index : pd.Index\n Validated time index - a reference to the input index\n \"\"\"\n if isinstance(index, np.ndarray):\n index = pd.Index(index)\n\n # We here check for type equality because isinstance does not\n # work reliably because index types inherit from each other.\n if not is_in_valid_index_types(index):\n raise NotImplementedError(\n f\"{type(index)} is not supported for {var_name}, use \"\n f\"one of {VALID_INDEX_TYPES} instead.\"\n )\n\n if enforce_index_type and type(index) is not enforce_index_type:\n raise NotImplementedError(\n f\"{type(index)} is not supported for {var_name}, use \"\n f\"type: {enforce_index_type} or integer pd.Index instead.\"\n )\n\n # Check time index is ordered in time\n if not index.is_monotonic:\n raise ValueError(\n f\"The (time) index of {var_name} must be sorted monotonically increasing, \"\n f\"but found: {index}\"\n )\n\n # Check that index is not empty\n if not allow_empty and len(index) < 1:\n raise ValueError(\n f\"{var_name} must contain at least some values, but found none.\"\n )\n\n return index\n\n\ndef check_equal_time_index(*ys, mode=\"equal\"):\n \"\"\"Check that time series have the same (time) indices.\n\n Parameters\n ----------\n *ys : tuple of sktime compatible time series data containers\n must be pd.Series, pd.DataFrame or 1/2D np.ndarray, or None\n can be Series, Panel, Hierarchical, but must be pandas or numpy\n note: this assumption is not checked by the function itself\n if check is needed, use check_is_scitype or check_is_mtype before call\n mode : str, \"equal\" or \"contained\", optional, default = \"equal\"\n if \"equal\" will check for all indices being exactly equal\n if \"contained\", will check whether all indices are subset of ys[0].index\n\n Raises\n ------\n ValueError\n if mode = \"equal\", raised if there are at least two non-None entries of ys\n of which pandas indices are not the same\n if mode = \"contained, raised if there is at least one non-None ys[i]\n such that ys[i].index is not contained in ys[o].index\n np.ndarray are considered having (pandas) integer range index on axis 0\n \"\"\"\n # None entries are ignored\n y_not_None = [y for y in ys if y is not None]\n\n # if there is no or just one element, there is nothing to compare\n if len(y_not_None) < 2:\n return None\n\n # only validate indices if data is passed as pd.Series\n if isinstance(y_not_None[0], np.ndarray):\n first_index = pd.Index(range(len(y_not_None[0])))\n else:\n first_index = y_not_None[0].index\n\n for i, y in enumerate(y_not_None[1:]):\n if isinstance(y, np.ndarray):\n y_index = pd.Index(range(len(y)))\n else:\n y_index = y.index\n\n if mode == \"equal\":\n failure_cond = not first_index.equals(y_index)\n msg = (\n f\"(time) indices are not the same, series 0 and {i} \"\n f\"differ in the following: {first_index.symmetric_difference(y_index)}.\"\n )\n elif mode == \"contains\":\n failure_cond = not y_index.isin(first_index).all()\n msg = (\n f\"(time) indices of series {i} are not contained in index of series 0,\"\n f\" extra indices are: {y_index.difference(first_index)}\"\n )\n else:\n raise ValueError('mode must be \"equal\" or \"contains\"')\n\n if failure_cond:\n raise ValueError(msg)\n\n\ndef check_consistent_index_type(a, b):\n \"\"\"Check that two indices have consistent types.\n\n Parameters\n ----------\n a : pd.Index\n Index being checked for consistency\n b : pd.Index\n Index being checked for consistency\n\n Raises\n ------\n TypeError\n If index types are inconsistent\n \"\"\"\n msg = (\n \"Found series with inconsistent index types, please make sure all \"\n \"series have the same index type.\"\n )\n\n if is_integer_index(a):\n if not is_integer_index(b):\n raise TypeError(msg)\n\n else:\n # check types, note that isinstance() does not work here because index\n # types inherit from each other, hence we check for type equality\n if not type(a) is type(b): # noqa\n raise TypeError(msg)\n", "path": "sktime/utils/validation/series.py" } ]
diff --git a/.all-contributorsrc b/.all-contributorsrc index 08e891ef254..fd30624a60b 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -1731,6 +1731,14 @@ "code", "ideas" ] + }, + { + "login": "benheid", + "name": "Benedikt Heidrich", + "profile": "https://github.com/benheid", + "contributions": [ + "code", + ] } ], "projectName": "sktime", diff --git a/sktime/utils/validation/series.py b/sktime/utils/validation/series.py index 0b59553986b..98812978e97 100644 --- a/sktime/utils/validation/series.py +++ b/sktime/utils/validation/series.py @@ -267,7 +267,7 @@ def check_equal_time_index(*ys, mode="equal"): for i, y in enumerate(y_not_None[1:]): if isinstance(y, np.ndarray): - y_index = pd.Index(y) + y_index = pd.Index(range(len(y))) else: y_index = y.index diff --git a/sktime/utils/validation/tests/test_series.py b/sktime/utils/validation/tests/test_series.py new file mode 100644 index 00000000000..3ae9fced3ef --- /dev/null +++ b/sktime/utils/validation/tests/test_series.py @@ -0,0 +1,21 @@ +#!/usr/bin/env python3 -u +# -*- coding: utf-8 -*- +# copyright: sktime developers, BSD-3-Clause License (see LICENSE file) +"""Test series module.""" + +__author__ = ["benheid"] + +import numpy as np +import pytest + +from sktime.utils.validation.series import check_equal_time_index + +first_arrays = (np.random.random(1000),) +second_arrays = (np.random.random(1000),) + + [email protected]("first_array", first_arrays) [email protected]("second_array", second_arrays) +def test_check_equal_time_index(first_array, second_array): + """Test that fh validation throws an error with empty container.""" + check_equal_time_index(first_array, second_array)
[BUG] ARIMA.fit with numpy arrays not working correctly **Describe the bug** If I execute ARIMA().fit with numpy arrays, it will fails with a strange error message. It says that the indexes of the input Time Series does not fit to the exogenous variables Time Series. And prints the input time series values as missing index values for the exogenous variables time series. **To Reproduce** <!-- Add a Minimal, Complete, and Verifiable example (for more details, see e.g. https://stackoverflow.com/help/mcve If the code is too long, feel free to put it in a public gist and link it in the issue: https://gist.github.com --> ```python rand = np.random.random(1000) rand_x = np.random.random(1000) ar = ARIMA() assert rand.shape == rand_x.shape ar.fit(rand, X=rand_x) ``` **Expected behavior** ARIMA should be fitted without an error. **Additional context** I suppose the problem is line 269ff in series.py. The supposed index are the values of y. I would expect that the index is something like `np.arange(0, len(y)`. I can implement this fix, but I assume that this would have effects on lots of other transformers too. ```python if isinstance(y, np.ndarray): y_index = pd.Index(y) else: y_index = y.index ``` <!-- Add any other context about the problem here. --> **Versions** <details> machine: Windows-10-10.0.18362-SP0 Python dependencies: pip: 22.0.3 setuptools: 60.8.2 sklearn: 1.0.2 sktime: 0.13.0 statsmodels: 0.13.2 numpy: 1.21.6 scipy: 1.7.3 pandas: 1.4.1 matplotlib: 3.5.1 joblib: 1.1.0 numba: 0.55.1 pmdarima: 1.8.5 tsfresh: None <!-- Please run the following code snippet and paste the output here: from sktime import show_versions; show_versions() --> </details> <!-- Thanks for contributing! -->
encode__httpx-361
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nimport re\nfrom pathlib import Path\n\nfrom setuptools import setup\n\n\ndef get_version(package):\n \"\"\"\n Return package version as listed in `__version__` in `init.py`.\n \"\"\"\n version = Path(package, \"__version__.py\").read_text()\n return re.search(\"__version__ = ['\\\"]([^'\\\"]+)['\\\"]\", version).group(1)\n\n\ndef get_long_description():\n \"\"\"\n Return the README.\n \"\"\"\n long_description = \"\"\n with open(\"README.md\", encoding=\"utf8\") as f:\n long_description += f.read()\n long_description += \"\\n\\n\"\n with open(\"CHANGELOG.md\", encoding=\"utf8\") as f:\n long_description += f.read()\n return long_description\n\n\ndef get_packages(package):\n \"\"\"\n Return root package and all sub-packages.\n \"\"\"\n return [str(path.parent) for path in Path(package).glob(\"**/__init__.py\")]\n\n\nsetup(\n name=\"httpx\",\n python_requires=\">=3.6\",\n version=get_version(\"httpx\"),\n url=\"https://github.com/encode/httpx\",\n license=\"BSD\",\n description=\"The next generation HTTP client.\",\n long_description=get_long_description(),\n long_description_content_type=\"text/markdown\",\n author=\"Tom Christie\",\n author_email=\"[email protected]\",\n package_data={\"httpx\": [\"py.typed\"]},\n packages=get_packages(\"httpx\"),\n include_package_data=True,\n install_requires=[\n \"certifi\",\n \"chardet==3.*\",\n \"h11==0.8.*\",\n \"h2==3.*\",\n \"hstspreload>=2019.8.27\",\n \"idna==2.*\",\n \"rfc3986==1.*\",\n ],\n classifiers=[\n \"Development Status :: 3 - Alpha\",\n \"Environment :: Web Environment\",\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: BSD License\",\n \"Operating System :: OS Independent\",\n \"Topic :: Internet :: WWW/HTTP\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n ],\n)\n", "path": "setup.py" } ]
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nimport re\nfrom pathlib import Path\n\nfrom setuptools import setup\n\n\ndef get_version(package):\n \"\"\"\n Return package version as listed in `__version__` in `init.py`.\n \"\"\"\n version = Path(package, \"__version__.py\").read_text()\n return re.search(\"__version__ = ['\\\"]([^'\\\"]+)['\\\"]\", version).group(1)\n\n\ndef get_long_description():\n \"\"\"\n Return the README.\n \"\"\"\n long_description = \"\"\n with open(\"README.md\", encoding=\"utf8\") as f:\n long_description += f.read()\n long_description += \"\\n\\n\"\n with open(\"CHANGELOG.md\", encoding=\"utf8\") as f:\n long_description += f.read()\n return long_description\n\n\ndef get_packages(package):\n \"\"\"\n Return root package and all sub-packages.\n \"\"\"\n return [str(path.parent) for path in Path(package).glob(\"**/__init__.py\")]\n\n\nsetup(\n name=\"httpx\",\n python_requires=\">=3.6\",\n version=get_version(\"httpx\"),\n url=\"https://github.com/encode/httpx\",\n license=\"BSD\",\n description=\"The next generation HTTP client.\",\n long_description=get_long_description(),\n long_description_content_type=\"text/markdown\",\n author=\"Tom Christie\",\n author_email=\"[email protected]\",\n package_data={\"httpx\": [\"py.typed\"]},\n packages=get_packages(\"httpx\"),\n include_package_data=True,\n zip_safe=False,\n install_requires=[\n \"certifi\",\n \"chardet==3.*\",\n \"h11==0.8.*\",\n \"h2==3.*\",\n \"hstspreload>=2019.8.27\",\n \"idna==2.*\",\n \"rfc3986==1.*\",\n ],\n classifiers=[\n \"Development Status :: 3 - Alpha\",\n \"Environment :: Web Environment\",\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: BSD License\",\n \"Operating System :: OS Independent\",\n \"Topic :: Internet :: WWW/HTTP\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n ],\n)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index ad27702bb2..8bd9d605f8 100644 --- a/setup.py +++ b/setup.py @@ -49,6 +49,7 @@ def get_packages(package): package_data={"httpx": ["py.typed"]}, packages=get_packages("httpx"), include_package_data=True, + zip_safe=False, install_requires=[ "certifi", "chardet==3.*",
Missing py.typed declaration? `mypy` is complaining about not being able to find type annotations for `httpx`: `error: Cannot find module named 'httpx'` I'm somewhat new to using type annotations/static type checking in Python, but from the mypy documentation [here](https://mypy.readthedocs.io/en/latest/installed_packages.html#making-pep-561-compatible-packages) it looks like there may be a missing declaration in `setup.py`?
canonical__cloud-init-5343
[ { "content": "from typing import Optional\n\nfrom cloudinit import subp\nfrom cloudinit.net.netops import NetOps\n\n\nclass Iproute2(NetOps):\n @staticmethod\n def link_up(\n interface: str, family: Optional[str] = None\n ) -> subp.SubpResult:\n family_args = []\n if family:\n family_args = [\"-family\", family]\n return subp.subp(\n [\"ip\", *family_args, \"link\", \"set\", \"dev\", interface, \"up\"]\n )\n\n @staticmethod\n def link_down(\n interface: str, family: Optional[str] = None\n ) -> subp.SubpResult:\n family_args = []\n if family:\n family_args = [\"-family\", family]\n return subp.subp(\n [\"ip\", *family_args, \"link\", \"set\", \"dev\", interface, \"down\"]\n )\n\n @staticmethod\n def link_rename(current_name: str, new_name: str):\n subp.subp([\"ip\", \"link\", \"set\", current_name, \"name\", new_name])\n\n @staticmethod\n def add_route(\n interface: str,\n route: str,\n *,\n gateway: Optional[str] = None,\n source_address: Optional[str] = None,\n ):\n gateway_args = []\n source_args = []\n if gateway and gateway != \"0.0.0.0\":\n gateway_args = [\"via\", gateway]\n if source_address:\n source_args = [\"src\", source_address]\n subp.subp(\n [\n \"ip\",\n \"-4\",\n \"route\",\n \"add\",\n route,\n *gateway_args,\n \"dev\",\n interface,\n *source_args,\n ]\n )\n\n @staticmethod\n def append_route(interface: str, address: str, gateway: str):\n gateway_args = []\n if gateway and gateway != \"0.0.0.0\":\n gateway_args = [\"via\", gateway]\n subp.subp(\n [\n \"ip\",\n \"-4\",\n \"route\",\n \"append\",\n address,\n *gateway_args,\n \"dev\",\n interface,\n ]\n )\n\n @staticmethod\n def del_route(\n interface: str,\n address: str,\n *,\n gateway: Optional[str] = None,\n source_address: Optional[str] = None,\n ):\n gateway_args = []\n source_args = []\n if gateway and gateway != \"0.0.0.0\":\n gateway_args = [\"via\", gateway]\n if source_address:\n source_args = [\"src\", source_address]\n subp.subp(\n [\n \"ip\",\n \"-4\",\n \"route\",\n \"del\",\n address,\n *gateway_args,\n \"dev\",\n interface,\n *source_args,\n ]\n )\n\n @staticmethod\n def get_default_route() -> str:\n return subp.subp(\n [\"ip\", \"route\", \"show\", \"0.0.0.0/0\"],\n ).stdout\n\n @staticmethod\n def add_addr(\n interface: str, address: str, broadcast: Optional[str] = None\n ):\n broadcast_args = []\n if broadcast:\n broadcast_args = [\"broadcast\", broadcast]\n subp.subp(\n [\n \"ip\",\n \"-family\",\n \"inet\",\n \"addr\",\n \"add\",\n address,\n *broadcast_args,\n \"dev\",\n interface,\n ],\n update_env={\"LANG\": \"C\"},\n )\n\n @staticmethod\n def del_addr(interface: str, address: str):\n subp.subp(\n [\"ip\", \"-family\", \"inet\", \"addr\", \"del\", address, \"dev\", interface]\n )\n\n @staticmethod\n def flush_addr(interface: str):\n subp.subp([\"ip\", \"flush\", \"dev\", interface])\n", "path": "cloudinit/net/netops/iproute2.py" } ]
[ { "content": "from typing import Optional\n\nfrom cloudinit import subp\nfrom cloudinit.net.netops import NetOps\n\n\nclass Iproute2(NetOps):\n @staticmethod\n def link_up(\n interface: str, family: Optional[str] = None\n ) -> subp.SubpResult:\n family_args = []\n if family:\n family_args = [\"-family\", family]\n return subp.subp(\n [\"ip\", *family_args, \"link\", \"set\", \"dev\", interface, \"up\"]\n )\n\n @staticmethod\n def link_down(\n interface: str, family: Optional[str] = None\n ) -> subp.SubpResult:\n family_args = []\n if family:\n family_args = [\"-family\", family]\n return subp.subp(\n [\"ip\", *family_args, \"link\", \"set\", \"dev\", interface, \"down\"]\n )\n\n @staticmethod\n def link_rename(current_name: str, new_name: str):\n subp.subp([\"ip\", \"link\", \"set\", current_name, \"name\", new_name])\n\n @staticmethod\n def add_route(\n interface: str,\n route: str,\n *,\n gateway: Optional[str] = None,\n source_address: Optional[str] = None,\n ):\n gateway_args = []\n source_args = []\n if gateway and gateway != \"0.0.0.0\":\n gateway_args = [\"via\", gateway]\n if source_address:\n source_args = [\"src\", source_address]\n subp.subp(\n [\n \"ip\",\n \"-4\",\n \"route\",\n \"replace\",\n route,\n *gateway_args,\n \"dev\",\n interface,\n *source_args,\n ]\n )\n\n @staticmethod\n def append_route(interface: str, address: str, gateway: str):\n gateway_args = []\n if gateway and gateway != \"0.0.0.0\":\n gateway_args = [\"via\", gateway]\n subp.subp(\n [\n \"ip\",\n \"-4\",\n \"route\",\n \"append\",\n address,\n *gateway_args,\n \"dev\",\n interface,\n ]\n )\n\n @staticmethod\n def del_route(\n interface: str,\n address: str,\n *,\n gateway: Optional[str] = None,\n source_address: Optional[str] = None,\n ):\n gateway_args = []\n source_args = []\n if gateway and gateway != \"0.0.0.0\":\n gateway_args = [\"via\", gateway]\n if source_address:\n source_args = [\"src\", source_address]\n subp.subp(\n [\n \"ip\",\n \"-4\",\n \"route\",\n \"del\",\n address,\n *gateway_args,\n \"dev\",\n interface,\n *source_args,\n ]\n )\n\n @staticmethod\n def get_default_route() -> str:\n return subp.subp(\n [\"ip\", \"route\", \"show\", \"0.0.0.0/0\"],\n ).stdout\n\n @staticmethod\n def add_addr(\n interface: str, address: str, broadcast: Optional[str] = None\n ):\n broadcast_args = []\n if broadcast:\n broadcast_args = [\"broadcast\", broadcast]\n subp.subp(\n [\n \"ip\",\n \"-family\",\n \"inet\",\n \"addr\",\n \"add\",\n address,\n *broadcast_args,\n \"dev\",\n interface,\n ],\n update_env={\"LANG\": \"C\"},\n )\n\n @staticmethod\n def del_addr(interface: str, address: str):\n subp.subp(\n [\"ip\", \"-family\", \"inet\", \"addr\", \"del\", address, \"dev\", interface]\n )\n\n @staticmethod\n def flush_addr(interface: str):\n subp.subp([\"ip\", \"flush\", \"dev\", interface])\n", "path": "cloudinit/net/netops/iproute2.py" } ]
diff --git a/cloudinit/net/netops/iproute2.py b/cloudinit/net/netops/iproute2.py index 70c311da918..46633b6d5c0 100644 --- a/cloudinit/net/netops/iproute2.py +++ b/cloudinit/net/netops/iproute2.py @@ -50,7 +50,7 @@ def add_route( "ip", "-4", "route", - "add", + "replace", route, *gateway_args, "dev", diff --git a/tests/unittests/net/test_init.py b/tests/unittests/net/test_init.py index d70162d0a56..6fa5dc828d6 100644 --- a/tests/unittests/net/test_init.py +++ b/tests/unittests/net/test_init.py @@ -1031,7 +1031,7 @@ def test_ephemeral_ipv4_network_with_new_default_route(self, m_subp): "ip", "-4", "route", - "add", + "replace", "192.168.2.1", "dev", "eth0", @@ -1044,7 +1044,7 @@ def test_ephemeral_ipv4_network_with_new_default_route(self, m_subp): "ip", "-4", "route", - "add", + "replace", "default", "via", "192.168.2.1",
cloud-init generates a traceback if a default route already exists during ephemeral network setup This bug was originally filed in Launchpad as [LP: #1860164](https://bugs.launchpad.net/cloud-init/+bug/1860164) <details> <summary>Launchpad details</summary> <pre> affected_projects = [] assignee = None assignee_name = None date_closed = None date_created = 2020-01-17T18:37:30.886100+00:00 date_fix_committed = None date_fix_released = None id = 1860164 importance = medium is_complete = False lp_url = https://bugs.launchpad.net/cloud-init/+bug/1860164 milestone = None owner = rjschwei owner_name = Robert Schweikert private = False status = triaged submitter = rjschwei submitter_name = Robert Schweikert tags = [] duplicates = [] </pre> </details> _Launchpad user **Robert Schweikert(rjschwei)** wrote on 2020-01-17T18:37:30.886100+00:00_ If a route already exists when the ephemeral network exists cloud-init will generate the following traceback: 2020-01-16 21:14:22,584 - util.py[DEBUG]: Getting data from <class 'cloudinit.sources.DataSourceOracle.DataSourceOracle'> failed Traceback (most recent call last): File "/usr/lib/python2.7/site-packages/cloudinit/sources/__init__.py", line 760, in find_source if s.update_metadata([EventType.BOOT_NEW_INSTANCE]): File "/usr/lib/python2.7/site-packages/cloudinit/sources/__init__.py", line 649, in update_metadata result = self.get_data() File "/usr/lib/python2.7/site-packages/cloudinit/sources/__init__.py", line 273, in get_data return_value = self._get_data() File "/usr/lib/python2.7/site-packages/cloudinit/sources/DataSourceOracle.py", line 195, in _get_data with dhcp.EphemeralDHCPv4(net.find_fallback_nic()): File "/usr/lib/python2.7/site-packages/cloudinit/net/dhcp.py", line 57, in __enter__ return self.obtain_lease() File "/usr/lib/python2.7/site-packages/cloudinit/net/dhcp.py", line 109, in obtain_lease ephipv4.__enter__() File "/usr/lib/python2.7/site-packages/cloudinit/net/__init__.py", line 920, in __enter__ self._bringup_static_routes() File "/usr/lib/python2.7/site-packages/cloudinit/net/__init__.py", line 974, in _bringup_static_routes ['dev', self.interface], capture=True) File "/usr/lib/python2.7/site-packages/cloudinit/util.py", line 2083, in subp cmd=args) ProcessExecutionError: Unexpected error while running command. This is a regression from 19.1 on SUSE where exiting routes were simply skipped.
blakeblackshear__frigate-3474
[ { "content": "import json\nimport logging\nimport threading\nfrom wsgiref.simple_server import make_server\n\nimport paho.mqtt.client as mqtt\nfrom ws4py.server.wsgirefserver import (\n WebSocketWSGIHandler,\n WebSocketWSGIRequestHandler,\n WSGIServer,\n)\nfrom ws4py.server.wsgiutils import WebSocketWSGIApplication\nfrom ws4py.websocket import WebSocket\n\nfrom frigate.config import FrigateConfig\nfrom frigate.util import restart_frigate\n\nlogger = logging.getLogger(__name__)\n\n\ndef create_mqtt_client(config: FrigateConfig, camera_metrics):\n mqtt_config = config.mqtt\n\n def on_recordings_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_recordings_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n record_settings = config.cameras[camera_name].record\n\n if payload == \"ON\":\n if not record_settings.enabled:\n logger.info(f\"Turning on recordings for {camera_name} via mqtt\")\n record_settings.enabled = True\n elif payload == \"OFF\":\n if record_settings.enabled:\n logger.info(f\"Turning off recordings for {camera_name} via mqtt\")\n record_settings.enabled = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_snapshots_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_snapshots_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n snapshots_settings = config.cameras[camera_name].snapshots\n\n if payload == \"ON\":\n if not snapshots_settings.enabled:\n logger.info(f\"Turning on snapshots for {camera_name} via mqtt\")\n snapshots_settings.enabled = True\n elif payload == \"OFF\":\n if snapshots_settings.enabled:\n logger.info(f\"Turning off snapshots for {camera_name} via mqtt\")\n snapshots_settings.enabled = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_detect_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_detect_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n detect_settings = config.cameras[camera_name].detect\n\n if payload == \"ON\":\n if not camera_metrics[camera_name][\"detection_enabled\"].value:\n logger.info(f\"Turning on detection for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"detection_enabled\"].value = True\n detect_settings.enabled = True\n\n if not camera_metrics[camera_name][\"motion_enabled\"].value:\n logger.info(\n f\"Turning on motion for {camera_name} due to detection being enabled.\"\n )\n camera_metrics[camera_name][\"motion_enabled\"].value = True\n elif payload == \"OFF\":\n if camera_metrics[camera_name][\"detection_enabled\"].value:\n logger.info(f\"Turning off detection for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"detection_enabled\"].value = False\n detect_settings.enabled = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_motion_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_motion_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n if payload == \"ON\":\n if not camera_metrics[camera_name][\"motion_enabled\"].value:\n logger.info(f\"Turning on motion for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"motion_enabled\"].value = True\n elif payload == \"OFF\":\n if camera_metrics[camera_name][\"detection_enabled\"].value:\n logger.error(\n f\"Turning off motion is not allowed when detection is enabled.\"\n )\n return\n\n if camera_metrics[camera_name][\"motion_enabled\"].value:\n logger.info(f\"Turning off motion for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"motion_enabled\"].value = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_improve_contrast_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_improve_contrast_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n motion_settings = config.cameras[camera_name].motion\n\n if payload == \"ON\":\n if not camera_metrics[camera_name][\"improve_contrast_enabled\"].value:\n logger.info(f\"Turning on improve contrast for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"improve_contrast_enabled\"].value = True\n motion_settings.improve_contrast = True\n elif payload == \"OFF\":\n if camera_metrics[camera_name][\"improve_contrast_enabled\"].value:\n logger.info(f\"Turning off improve contrast for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"improve_contrast_enabled\"].value = False\n motion_settings.improve_contrast = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_motion_threshold_command(client, userdata, message):\n try:\n payload = int(message.payload.decode())\n except ValueError:\n logger.warning(\n f\"Received unsupported value at {message.topic}: {message.payload.decode()}\"\n )\n return\n\n logger.debug(f\"on_motion_threshold_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n motion_settings = config.cameras[camera_name].motion\n\n logger.info(f\"Setting motion threshold for {camera_name} via mqtt: {payload}\")\n camera_metrics[camera_name][\"motion_threshold\"].value = payload\n motion_settings.threshold = payload\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_motion_contour_area_command(client, userdata, message):\n try:\n payload = int(message.payload.decode())\n except ValueError:\n logger.warning(\n f\"Received unsupported value at {message.topic}: {message.payload.decode()}\"\n )\n return\n\n logger.debug(f\"on_motion_contour_area_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n motion_settings = config.cameras[camera_name].motion\n\n logger.info(\n f\"Setting motion contour area for {camera_name} via mqtt: {payload}\"\n )\n camera_metrics[camera_name][\"motion_contour_area\"].value = payload\n motion_settings.contour_area = payload\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_restart_command(client, userdata, message):\n restart_frigate()\n\n def on_connect(client, userdata, flags, rc):\n threading.current_thread().name = \"mqtt\"\n if rc != 0:\n if rc == 3:\n logger.error(\n \"Unable to connect to MQTT server: MQTT Server unavailable\"\n )\n elif rc == 4:\n logger.error(\n \"Unable to connect to MQTT server: MQTT Bad username or password\"\n )\n elif rc == 5:\n logger.error(\"Unable to connect to MQTT server: MQTT Not authorized\")\n else:\n logger.error(\n \"Unable to connect to MQTT server: Connection refused. Error code: \"\n + str(rc)\n )\n\n logger.debug(\"MQTT connected\")\n client.subscribe(f\"{mqtt_config.topic_prefix}/#\")\n client.publish(mqtt_config.topic_prefix + \"/available\", \"online\", retain=True)\n\n client = mqtt.Client(client_id=mqtt_config.client_id)\n client.on_connect = on_connect\n client.will_set(\n mqtt_config.topic_prefix + \"/available\", payload=\"offline\", qos=1, retain=True\n )\n\n # register callbacks\n for name in config.cameras.keys():\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/recordings/set\", on_recordings_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/snapshots/set\", on_snapshots_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/detect/set\", on_detect_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/motion/set\", on_motion_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/improve_contrast/set\",\n on_improve_contrast_command,\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/motion_threshold/set\",\n on_motion_threshold_command,\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/motion_contour_area/set\",\n on_motion_contour_area_command,\n )\n\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/restart\", on_restart_command\n )\n\n if not mqtt_config.tls_ca_certs is None:\n if (\n not mqtt_config.tls_client_cert is None\n and not mqtt_config.tls_client_key is None\n ):\n client.tls_set(\n mqtt_config.tls_ca_certs,\n mqtt_config.tls_client_cert,\n mqtt_config.tls_client_key,\n )\n else:\n client.tls_set(mqtt_config.tls_ca_certs)\n if not mqtt_config.tls_insecure is None:\n client.tls_insecure_set(mqtt_config.tls_insecure)\n if not mqtt_config.user is None:\n client.username_pw_set(mqtt_config.user, password=mqtt_config.password)\n try:\n client.connect(mqtt_config.host, mqtt_config.port, 60)\n except Exception as e:\n logger.error(f\"Unable to connect to MQTT server: {e}\")\n raise\n\n client.loop_start()\n\n for name in config.cameras.keys():\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/recordings/state\",\n \"ON\" if config.cameras[name].record.enabled else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/snapshots/state\",\n \"ON\" if config.cameras[name].snapshots.enabled else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/detect/state\",\n \"ON\" if config.cameras[name].detect.enabled else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion/state\",\n \"ON\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/improve_contrast/state\",\n \"ON\" if config.cameras[name].motion.improve_contrast else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion_threshold/state\",\n config.cameras[name].motion.threshold,\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion_contour_area/state\",\n config.cameras[name].motion.contour_area,\n retain=True,\n )\n\n return client\n\n\nclass MqttSocketRelay:\n def __init__(self, mqtt_client, topic_prefix):\n self.mqtt_client = mqtt_client\n self.topic_prefix = topic_prefix\n\n def start(self):\n class MqttWebSocket(WebSocket):\n topic_prefix = self.topic_prefix\n mqtt_client = self.mqtt_client\n\n def received_message(self, message):\n try:\n json_message = json.loads(message.data.decode(\"utf-8\"))\n json_message = {\n \"topic\": f\"{self.topic_prefix}/{json_message['topic']}\",\n \"payload\": json_message.get(\"payload\"),\n \"retain\": json_message.get(\"retain\", False),\n }\n except Exception as e:\n logger.warning(\"Unable to parse websocket message as valid json.\")\n return\n\n logger.debug(\n f\"Publishing mqtt message from websockets at {json_message['topic']}.\"\n )\n self.mqtt_client.publish(\n json_message[\"topic\"],\n json_message[\"payload\"],\n retain=json_message[\"retain\"],\n )\n\n # start a websocket server on 5002\n WebSocketWSGIHandler.http_version = \"1.1\"\n self.websocket_server = make_server(\n \"127.0.0.1\",\n 5002,\n server_class=WSGIServer,\n handler_class=WebSocketWSGIRequestHandler,\n app=WebSocketWSGIApplication(handler_cls=MqttWebSocket),\n )\n self.websocket_server.initialize_websockets_manager()\n self.websocket_thread = threading.Thread(\n target=self.websocket_server.serve_forever\n )\n\n def send(client, userdata, message):\n \"\"\"Sends mqtt messages to clients.\"\"\"\n try:\n logger.debug(f\"Received mqtt message on {message.topic}.\")\n ws_message = json.dumps(\n {\n \"topic\": message.topic.replace(f\"{self.topic_prefix}/\", \"\"),\n \"payload\": message.payload.decode(),\n }\n )\n except Exception as e:\n # if the payload can't be decoded don't relay to clients\n logger.debug(\n f\"MQTT payload for {message.topic} wasn't text. Skipping...\"\n )\n return\n\n self.websocket_server.manager.broadcast(ws_message)\n\n self.mqtt_client.message_callback_add(f\"{self.topic_prefix}/#\", send)\n\n self.websocket_thread.start()\n\n def stop(self):\n self.websocket_server.manager.close_all()\n self.websocket_server.manager.stop()\n self.websocket_server.manager.join()\n self.websocket_server.shutdown()\n self.websocket_thread.join()\n", "path": "frigate/mqtt.py" } ]
[ { "content": "import json\nimport logging\nimport threading\nfrom wsgiref.simple_server import make_server\n\nimport paho.mqtt.client as mqtt\nfrom ws4py.server.wsgirefserver import (\n WebSocketWSGIHandler,\n WebSocketWSGIRequestHandler,\n WSGIServer,\n)\nfrom ws4py.server.wsgiutils import WebSocketWSGIApplication\nfrom ws4py.websocket import WebSocket\n\nfrom frigate.config import FrigateConfig\nfrom frigate.util import restart_frigate\n\nlogger = logging.getLogger(__name__)\n\n\ndef create_mqtt_client(config: FrigateConfig, camera_metrics):\n mqtt_config = config.mqtt\n\n def on_recordings_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_recordings_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n record_settings = config.cameras[camera_name].record\n\n if payload == \"ON\":\n if not record_settings.enabled:\n logger.info(f\"Turning on recordings for {camera_name} via mqtt\")\n record_settings.enabled = True\n elif payload == \"OFF\":\n if record_settings.enabled:\n logger.info(f\"Turning off recordings for {camera_name} via mqtt\")\n record_settings.enabled = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_snapshots_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_snapshots_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n snapshots_settings = config.cameras[camera_name].snapshots\n\n if payload == \"ON\":\n if not snapshots_settings.enabled:\n logger.info(f\"Turning on snapshots for {camera_name} via mqtt\")\n snapshots_settings.enabled = True\n elif payload == \"OFF\":\n if snapshots_settings.enabled:\n logger.info(f\"Turning off snapshots for {camera_name} via mqtt\")\n snapshots_settings.enabled = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_detect_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_detect_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n detect_settings = config.cameras[camera_name].detect\n\n if payload == \"ON\":\n if not camera_metrics[camera_name][\"detection_enabled\"].value:\n logger.info(f\"Turning on detection for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"detection_enabled\"].value = True\n detect_settings.enabled = True\n\n if not camera_metrics[camera_name][\"motion_enabled\"].value:\n logger.info(\n f\"Turning on motion for {camera_name} due to detection being enabled.\"\n )\n camera_metrics[camera_name][\"motion_enabled\"].value = True\n elif payload == \"OFF\":\n if camera_metrics[camera_name][\"detection_enabled\"].value:\n logger.info(f\"Turning off detection for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"detection_enabled\"].value = False\n detect_settings.enabled = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_motion_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_motion_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n if payload == \"ON\":\n if not camera_metrics[camera_name][\"motion_enabled\"].value:\n logger.info(f\"Turning on motion for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"motion_enabled\"].value = True\n elif payload == \"OFF\":\n if camera_metrics[camera_name][\"detection_enabled\"].value:\n logger.error(\n f\"Turning off motion is not allowed when detection is enabled.\"\n )\n return\n\n if camera_metrics[camera_name][\"motion_enabled\"].value:\n logger.info(f\"Turning off motion for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"motion_enabled\"].value = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_improve_contrast_command(client, userdata, message):\n payload = message.payload.decode()\n logger.debug(f\"on_improve_contrast_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n motion_settings = config.cameras[camera_name].motion\n\n if payload == \"ON\":\n if not camera_metrics[camera_name][\"improve_contrast_enabled\"].value:\n logger.info(f\"Turning on improve contrast for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"improve_contrast_enabled\"].value = True\n motion_settings.improve_contrast = True\n elif payload == \"OFF\":\n if camera_metrics[camera_name][\"improve_contrast_enabled\"].value:\n logger.info(f\"Turning off improve contrast for {camera_name} via mqtt\")\n camera_metrics[camera_name][\"improve_contrast_enabled\"].value = False\n motion_settings.improve_contrast = False\n else:\n logger.warning(f\"Received unsupported value at {message.topic}: {payload}\")\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_motion_threshold_command(client, userdata, message):\n try:\n payload = int(message.payload.decode())\n except ValueError:\n logger.warning(\n f\"Received unsupported value at {message.topic}: {message.payload.decode()}\"\n )\n return\n\n logger.debug(f\"on_motion_threshold_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n motion_settings = config.cameras[camera_name].motion\n\n logger.info(f\"Setting motion threshold for {camera_name} via mqtt: {payload}\")\n camera_metrics[camera_name][\"motion_threshold\"].value = payload\n motion_settings.threshold = payload\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_motion_contour_area_command(client, userdata, message):\n try:\n payload = int(message.payload.decode())\n except ValueError:\n logger.warning(\n f\"Received unsupported value at {message.topic}: {message.payload.decode()}\"\n )\n return\n\n logger.debug(f\"on_motion_contour_area_toggle: {message.topic} {payload}\")\n\n camera_name = message.topic.split(\"/\")[-3]\n\n motion_settings = config.cameras[camera_name].motion\n\n logger.info(\n f\"Setting motion contour area for {camera_name} via mqtt: {payload}\"\n )\n camera_metrics[camera_name][\"motion_contour_area\"].value = payload\n motion_settings.contour_area = payload\n\n state_topic = f\"{message.topic[:-4]}/state\"\n client.publish(state_topic, payload, retain=True)\n\n def on_restart_command(client, userdata, message):\n restart_frigate()\n\n def on_connect(client, userdata, flags, rc):\n threading.current_thread().name = \"mqtt\"\n if rc != 0:\n if rc == 3:\n logger.error(\n \"Unable to connect to MQTT server: MQTT Server unavailable\"\n )\n elif rc == 4:\n logger.error(\n \"Unable to connect to MQTT server: MQTT Bad username or password\"\n )\n elif rc == 5:\n logger.error(\"Unable to connect to MQTT server: MQTT Not authorized\")\n else:\n logger.error(\n \"Unable to connect to MQTT server: Connection refused. Error code: \"\n + str(rc)\n )\n\n logger.debug(\"MQTT connected\")\n client.subscribe(f\"{mqtt_config.topic_prefix}/#\")\n client.publish(mqtt_config.topic_prefix + \"/available\", \"online\", retain=True)\n\n client = mqtt.Client(client_id=mqtt_config.client_id)\n client.on_connect = on_connect\n client.will_set(\n mqtt_config.topic_prefix + \"/available\", payload=\"offline\", qos=1, retain=True\n )\n\n # register callbacks\n for name in config.cameras.keys():\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/recordings/set\", on_recordings_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/snapshots/set\", on_snapshots_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/detect/set\", on_detect_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/motion/set\", on_motion_command\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/improve_contrast/set\",\n on_improve_contrast_command,\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/motion_threshold/set\",\n on_motion_threshold_command,\n )\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/{name}/motion_contour_area/set\",\n on_motion_contour_area_command,\n )\n\n client.message_callback_add(\n f\"{mqtt_config.topic_prefix}/restart\", on_restart_command\n )\n\n if not mqtt_config.tls_ca_certs is None:\n if (\n not mqtt_config.tls_client_cert is None\n and not mqtt_config.tls_client_key is None\n ):\n client.tls_set(\n mqtt_config.tls_ca_certs,\n mqtt_config.tls_client_cert,\n mqtt_config.tls_client_key,\n )\n else:\n client.tls_set(mqtt_config.tls_ca_certs)\n if not mqtt_config.tls_insecure is None:\n client.tls_insecure_set(mqtt_config.tls_insecure)\n if not mqtt_config.user is None:\n client.username_pw_set(mqtt_config.user, password=mqtt_config.password)\n try:\n client.connect(mqtt_config.host, mqtt_config.port, 60)\n except Exception as e:\n logger.error(f\"Unable to connect to MQTT server: {e}\")\n raise\n\n client.loop_start()\n\n for name in config.cameras.keys():\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/recordings/state\",\n \"ON\" if config.cameras[name].record.enabled else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/snapshots/state\",\n \"ON\" if config.cameras[name].snapshots.enabled else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/detect/state\",\n \"ON\" if config.cameras[name].detect.enabled else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion/state\",\n \"ON\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/improve_contrast/state\",\n \"ON\" if config.cameras[name].motion.improve_contrast else \"OFF\",\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion_threshold/state\",\n config.cameras[name].motion.threshold,\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion_contour_area/state\",\n config.cameras[name].motion.contour_area,\n retain=True,\n )\n client.publish(\n f\"{mqtt_config.topic_prefix}/{name}/motion\",\n \"OFF\",\n retain=False,\n )\n\n return client\n\n\nclass MqttSocketRelay:\n def __init__(self, mqtt_client, topic_prefix):\n self.mqtt_client = mqtt_client\n self.topic_prefix = topic_prefix\n\n def start(self):\n class MqttWebSocket(WebSocket):\n topic_prefix = self.topic_prefix\n mqtt_client = self.mqtt_client\n\n def received_message(self, message):\n try:\n json_message = json.loads(message.data.decode(\"utf-8\"))\n json_message = {\n \"topic\": f\"{self.topic_prefix}/{json_message['topic']}\",\n \"payload\": json_message.get(\"payload\"),\n \"retain\": json_message.get(\"retain\", False),\n }\n except Exception as e:\n logger.warning(\"Unable to parse websocket message as valid json.\")\n return\n\n logger.debug(\n f\"Publishing mqtt message from websockets at {json_message['topic']}.\"\n )\n self.mqtt_client.publish(\n json_message[\"topic\"],\n json_message[\"payload\"],\n retain=json_message[\"retain\"],\n )\n\n # start a websocket server on 5002\n WebSocketWSGIHandler.http_version = \"1.1\"\n self.websocket_server = make_server(\n \"127.0.0.1\",\n 5002,\n server_class=WSGIServer,\n handler_class=WebSocketWSGIRequestHandler,\n app=WebSocketWSGIApplication(handler_cls=MqttWebSocket),\n )\n self.websocket_server.initialize_websockets_manager()\n self.websocket_thread = threading.Thread(\n target=self.websocket_server.serve_forever\n )\n\n def send(client, userdata, message):\n \"\"\"Sends mqtt messages to clients.\"\"\"\n try:\n logger.debug(f\"Received mqtt message on {message.topic}.\")\n ws_message = json.dumps(\n {\n \"topic\": message.topic.replace(f\"{self.topic_prefix}/\", \"\"),\n \"payload\": message.payload.decode(),\n }\n )\n except Exception as e:\n # if the payload can't be decoded don't relay to clients\n logger.debug(\n f\"MQTT payload for {message.topic} wasn't text. Skipping...\"\n )\n return\n\n self.websocket_server.manager.broadcast(ws_message)\n\n self.mqtt_client.message_callback_add(f\"{self.topic_prefix}/#\", send)\n\n self.websocket_thread.start()\n\n def stop(self):\n self.websocket_server.manager.close_all()\n self.websocket_server.manager.stop()\n self.websocket_server.manager.join()\n self.websocket_server.shutdown()\n self.websocket_thread.join()\n", "path": "frigate/mqtt.py" } ]
diff --git a/frigate/mqtt.py b/frigate/mqtt.py index 4b74d6f62d..a1e564f7dd 100644 --- a/frigate/mqtt.py +++ b/frigate/mqtt.py @@ -314,6 +314,11 @@ def on_connect(client, userdata, flags, rc): config.cameras[name].motion.contour_area, retain=True, ) + client.publish( + f"{mqtt_config.topic_prefix}/{name}/motion", + "OFF", + retain=False, + ) return client
[Support]: motion sensor stays on indefinitely after restart ### Describe the problem you are having The following can be reliably reproduced in my setup: - I enter the room, frigate's motion sensor (`binary_sensor.<camera>_motion`) turns `on` - I restart the frigate add-on - I leave the room while frigate is restarting. During the restart `binary_sensor.<camera>_motion` becomes `unavailable`, and after the restart turn back to `on` and it remains on indefinitely. More restarts do not affect the sensor. The only way to turn in back `off` is to enter the room again, cause a new motion detection, and wait for the new detection to finish. Here's a log of the MQTT messages sent during this procedure: ``` 2022-07-15 11:04:28 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/motion: b'ON' 2022-07-15 11:04:39 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/available: b'offline' 2022-07-15 11:04:40 ERROR (MainThread) [custom_components.frigate.api] Error fetching information from http://ccab4aaf-frigate-fa-beta:5000/api/stats: Cannot connect to host ccab4aaf-frigate-fa-beta:5000 ssl:default [Connect call failed ('172.30.33.2', 5000)] 2022-07-15 11:04:40 ERROR (MainThread) [custom_components.frigate] Error fetching frigate data: 2022-07-15 11:04:45 ERROR (MainThread) [custom_components.frigate.api] Error fetching information from http://ccab4aaf-frigate-fa-beta:5000/api/stats: 502, message='Bad Gateway', url=URL('http://ccab4aaf-frigate-fa-beta:5000/api/stats') 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/recordings/state: b'OFF' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/snapshots/state: b'OFF' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/detect/state: b'OFF' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/motion/state: b'ON' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/available: b'online' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/recordings/state: b'OFF' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/snapshots/state: b'OFF' 2022-07-15 11:04:46 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/detect/state: b'OFF' 2022-07-15 11:04:48 DEBUG (MainThread) [homeassistant.components.mqtt.client] Received message on frigate/frigate_livingroom/all: b'0' ``` If I understand correctly: - `frigate/<cameta>/motion` sets the state of `binary_sensor.<camera>_motion` - `frigate/<cameta>/motion/state` sets the state of `switch.<camera>_motion` It looks like after a restart, frigate sends a message to inform HA about the state of the `switch`, but not about the `binary_sensor`, which stays on until a future detection. ### Version 0.11.0-ef54cd6 ### Frigate config file ```yaml mqtt: host: 192.168.2.5 user: mqtt_user password: detectors: cpu1: type: cpu num_threads: 2 cameras: frigate_livingroom: ffmpeg: inputs: - path: "rtsp://<ip>/stream2" roles: - detect - path: "rtsp://<ip>/stream1" roles: - rtmp - record motion: mask: - 235,23,233,0,0,0,0,22 detect: width: 640 height: 360 fps: 5 enabled: False record: enabled: False retain: days: 1 objects: track: [] ``` ### Relevant log output ```shell [2022-07-15 10:42:29] frigate.app INFO : Starting Frigate (0.11.0-ef54cd6) [2022-07-15 10:42:29] frigate.app INFO : Creating directory: /tmp/cache Starting migrations [2022-07-15 10:42:29] peewee_migrate INFO : Starting migrations There is nothing to migrate [2022-07-15 10:42:29] peewee_migrate INFO : There is nothing to migrate [2022-07-15 10:42:29] frigate.app INFO : Output process started: 219 [2022-07-15 10:42:29] detector.cpu1 INFO : Starting detection process: 218 [2022-07-15 10:42:29] frigate.edgetpu WARNING : CPU detectors are not recommended and should only be used for testing or for trial purposes. [2022-07-15 10:42:29] frigate.app INFO : Camera processor started for frigate_livingroom: 222 [2022-07-15 10:42:29] ws4py INFO : Using epoll [2022-07-15 10:42:29] frigate.app INFO : Capture process started for frigate_livingroom: 225 [2022-07-15 10:42:30] ws4py INFO : Using epoll ``` ### FFprobe output from your camera ```shell ffprobe version 4.2.7-0ubuntu0.1 Copyright (c) 2007-2022 the FFmpeg developers built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1) configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared WARNING: library configuration mismatch avcodec configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared --enable-version3 --disable-doc --disable-programs --enable-libaribb24 --enable-liblensfun --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libtesseract --enable-libvo_amrwbenc libavutil 56. 31.100 / 56. 31.100 libavcodec 58. 54.100 / 58. 54.100 libavformat 58. 29.100 / 58. 29.100 libavdevice 58. 8.100 / 58. 8.100 libavfilter 7. 57.100 / 7. 57.100 libavresample 4. 0. 0 / 4. 0. 0 libswscale 5. 5.100 / 5. 5.100 libswresample 3. 5.100 / 3. 5.100 libpostproc 55. 5.100 / 55. 5.100 Input #0 Metadata: title : Session streamed by "TP-LINK RTSP Server" comment : stream2 Duration: N/A, start: 0.000000, bitrate: N/A Stream #0:0: Video: h264 (Main), yuv420p(progressive), 640x360, 15 fps, 20 tbr, 90k tbn, 30 tbc Stream #0:1: Audio: pcm_alaw, 8000 Hz, 1 channels, s16, 64 kb/s ``` ### Frigate stats _No response_ ### Operating system Debian ### Install method HassOS Addon ### Coral version CPU (no coral) ### Network connection Wireless ### Camera make and model TP-LINK Tapo C210 ### Any other information that may be helpful _No response_
carpentries__amy-513
[ { "content": "# coding: utf-8\nimport csv\nfrom math import pi, sin, cos, acos\nimport re\n\nfrom django.core.exceptions import ObjectDoesNotExist\nfrom django.db import IntegrityError, transaction\nfrom django.db.models import Q\nfrom django.core.paginator import Paginator as DjangoPaginator\nimport requests\n\nfrom workshops.check import get_header\nfrom workshops.models import Event, Role, Person, Task, Award\n\n\nclass InternalError(Exception):\n pass\n\n\ndef earth_distance(pos1, pos2):\n '''Taken from http://www.johndcook.com/python_longitude_latitude.html.'''\n\n # Extract fields.\n lat1, long1 = pos1\n lat2, long2 = pos2\n\n # Convert latitude and longitude to spherical coordinates in radians.\n degrees_to_radians = pi/180.0\n\n # phi = 90 - latitude\n phi1 = (90.0 - lat1) * degrees_to_radians\n phi2 = (90.0 - lat2) * degrees_to_radians\n\n # theta = longitude\n theta1 = long1 * degrees_to_radians\n theta2 = long2 * degrees_to_radians\n\n # Compute spherical distance from spherical coordinates.\n # For two locations in spherical coordinates\n # (1, theta, phi) and (1, theta, phi)\n # cosine( arc length ) = sin phi sin phi' cos(theta-theta') + cos phi cos phi'\n # distance = rho * arc length\n c = sin(phi1) * sin(phi2) * cos(theta1 - theta2) + cos(phi1) * cos(phi2)\n\n # due to round-off errors, sometimes c may be out of range\n if c > 1:\n c = 1\n if c < -1:\n c = -1\n arc = acos(c)\n\n # Multiply by 6373 to get distance in km.\n return arc * 6373\n\n\ndef upload_person_task_csv(stream):\n \"\"\"Read people from CSV and return a JSON-serializable list of dicts.\n\n The input `stream` should be a file-like object that returns\n Unicode data.\n\n \"Serializability\" is required because we put this data into session. See\n https://docs.djangoproject.com/en/1.7/topics/http/sessions/ for details.\n\n Also return a list of fields from Person.PERSON_UPLOAD_FIELDS for which\n no data was given.\n \"\"\"\n\n result = []\n reader = csv.DictReader(stream)\n empty_fields = set()\n\n for row in reader:\n entry = {}\n for col in Person.PERSON_UPLOAD_FIELDS:\n try:\n entry[col] = row[col].strip()\n except (KeyError, IndexError, AttributeError):\n # either `col` is not in `entry`, or not in `row`, or\n # `.strip()` doesn't work (e.g. `row[col]` gives `None` instead\n # of string)\n entry[col] = None\n empty_fields.add(col)\n\n for col in Person.PERSON_TASK_EXTRA_FIELDS:\n entry[col] = row.get(col, None)\n entry['errors'] = None\n\n result.append(entry)\n\n return result, list(empty_fields)\n\n\ndef verify_upload_person_task(data):\n \"\"\"\n Verify that uploaded data is correct. Show errors by populating ``errors``\n dictionary item. This function changes ``data`` in place.\n \"\"\"\n\n errors_occur = False\n for item in data:\n errors = []\n info = []\n\n event = item.get('event', None)\n existing_event = None\n if event:\n try:\n existing_event = Event.objects.get(slug=event)\n except Event.DoesNotExist:\n errors.append(u'Event with slug {0} does not exist.'\n .format(event))\n\n role = item.get('role', None)\n existing_role = None\n if role:\n try:\n existing_role = Role.objects.get(name=role)\n except Role.DoesNotExist:\n errors.append(u'Role with name {0} does not exist.'\n .format(role))\n except Role.MultipleObjectsReturned:\n errors.append(u'More than one role named {0} exists.'\n .format(role))\n\n # check if the user exists, and if so: check if existing user's\n # personal and family names are the same as uploaded\n email = item.get('email', None)\n personal = item.get('personal', None)\n middle = item.get('middle', None)\n family = item.get('family', None)\n person = None\n if email:\n # we don't have to check if the user exists in the database\n # but we should check if, in case the email matches, family and\n # personal names match, too\n\n try:\n person = Person.objects.get(email__iexact=email)\n for (which, actual, uploaded) in (\n ('personal', person.personal, personal),\n ('middle', person.middle, middle),\n ('family', person.family, family)):\n if (actual == uploaded) or ((actual is None) and (uploaded == '')):\n pass\n else:\n errors.append('{0}: database \"{1}\" vs uploaded \"{2}\"'\n .format(which, actual, uploaded))\n\n except Person.DoesNotExist:\n # in this case we need to add the user\n info.append('Person and task will be created.')\n\n else:\n if existing_event and person and existing_role:\n # person, their role and a corresponding event exist, so\n # let's check if the task exists\n try:\n Task.objects.get(event=existing_event, person=person,\n role=existing_role)\n except Task.DoesNotExist:\n info.append('Task will be created')\n else:\n info.append('Task already exists')\n\n if person:\n if not any([event, role]):\n errors.append(\"User exists but no event and role to assign to\"\n \" the user to was provided\")\n\n if (event and not role) or (role and not event):\n errors.append(\"Must have both: event ({0}) and role ({1})\"\n .format(event, role))\n\n if errors:\n errors_occur = True\n item['errors'] = errors\n\n if info:\n item['info'] = info\n\n return errors_occur\n\n\ndef create_uploaded_persons_tasks(data):\n \"\"\"\n Create persons and tasks from upload data.\n \"\"\"\n\n # Quick sanity check.\n if any([row.get('errors') for row in data]):\n raise InternalError('Uploaded data contains errors, cancelling upload')\n\n persons_created = []\n tasks_created = []\n events = set()\n\n with transaction.atomic():\n for row in data:\n try:\n fields = {key: row[key] for key in Person.PERSON_UPLOAD_FIELDS}\n fields['username'] = create_username(row['personal'],\n row['family'])\n if fields['email']:\n # we should use existing Person or create one\n p, created = Person.objects.get_or_create(\n email__iexact=fields['email'], defaults=fields\n )\n\n if created:\n persons_created.append(p)\n\n else:\n # we should create a new Person without any email provided\n p = Person(**fields)\n p.save()\n persons_created.append(p)\n\n if row['event'] and row['role']:\n e = Event.objects.get(slug=row['event'])\n r = Role.objects.get(name=row['role'])\n\n # is the number of learners attending the event changed,\n # we should update ``event.attendance``\n if row['role'] == 'learner':\n events.add(e)\n\n t, created = Task.objects.get_or_create(person=p, event=e,\n role=r)\n if created:\n tasks_created.append(t)\n\n except IntegrityError as e:\n raise IntegrityError('{0} (for {1})'.format(str(e), row))\n\n except ObjectDoesNotExist as e:\n raise ObjectDoesNotExist('{0} (for {1})'.format(str(e), row))\n\n for event in events:\n # if event.attendance is lower than number of learners, then\n # update the attendance\n update_event_attendance_from_tasks(event)\n\n return persons_created, tasks_created\n\n\ndef create_username(personal, family):\n '''Generate unique username.'''\n stem = normalize_name(family) + '.' + normalize_name(personal)\n counter = None\n while True:\n try:\n if counter is None:\n username = stem\n counter = 1\n else:\n counter += 1\n username = '{0}.{1}'.format(stem, counter)\n Person.objects.get(username=username)\n except ObjectDoesNotExist:\n break\n\n if any([ord(c) >= 128 for c in username]):\n raise InternalError('Normalized username still contains non-normal '\n 'characters \"{0}\"'.format(username))\n\n return username\n\n\ndef normalize_name(name):\n '''Get rid of spaces, funky characters, etc.'''\n name = name.strip()\n for (accented, flat) in [(' ', '-')]:\n name = name.replace(accented, flat)\n\n # We should use lower-cased username, because it directly corresponds to\n # some files Software Carpentry stores about some people - and, as we know,\n # some filesystems are not case-sensitive.\n return name.lower()\n\n\nclass Paginator(DjangoPaginator):\n \"\"\"Everything should work as in django.core.paginator.Paginator, except\n this class provides additional generator for nicer set of pages.\"\"\"\n\n _page_number = None\n\n def page(self, number):\n \"\"\"Overridden to store retrieved page number somewhere.\"\"\"\n self._page_number = number\n return super().page(number)\n\n def paginate_sections(self):\n \"\"\"Divide pagination range into 3 sections.\n\n Each section should contain approx. 5 links. If sections are\n overlapping, they're merged.\n The results might be:\n * L…M…R\n * LM…R\n * L…MR\n * LMR\n where L - left section, M - middle section, R - right section, and \"…\"\n stands for a separator.\n \"\"\"\n index = int(self._page_number) or 1\n items = self.page_range\n L = items[0:5]\n M = items[index-3:index+4] or items[0:index+1]\n R = items[-5:]\n L_s = set(L)\n M_s = set(M)\n R_s = set(R)\n\n D1 = L_s.isdisjoint(M_s)\n D2 = M_s.isdisjoint(R_s)\n\n if D1 and D2:\n # L…M…R\n pagination = L + [None] + M + [None] + R\n elif not D1 and D2:\n # LM…R\n pagination = sorted(L_s | M_s) + [None] + R\n elif D1 and not D2:\n # L…MR\n pagination = L + [None] + sorted(M_s | R_s)\n else:\n # LMR\n pagination = sorted(L_s | M_s | R_s)\n\n return pagination\n\n\ndef merge_persons(person_from, person_to):\n for award in person_from.award_set.all():\n try:\n award.person = person_to\n award.save()\n except IntegrityError:\n # unique constraints fail (probably)\n pass\n\n for task in person_from.task_set.all():\n try:\n task.person = person_to\n task.save()\n except IntegrityError:\n # unique constraints fail (probably)\n pass\n\n # update only unique lessons\n person_from.qualification_set.exclude(lesson__in=person_to.lessons.all()) \\\n .update(person=person_to)\n\n person_to.domains.add(*person_from.domains.all())\n\n # removes tasks, awards, qualifications in a cascading way\n person_from.delete()\n\n\nclass WrongEventURL(Exception):\n pass\n\n\ndef normalize_event_index_url(url):\n \"\"\"From any event URL, make one URL to the raw content.\n\n For example:\n\n * http://user.github.io/SLUG/\n * http://user.github.io/SLUG/index.html\n * https://github.com/user/SLUG/\n * https://github.com/user/SLUG/blob/gh-pages/index.html\n * https://raw.githubusercontent.com/user/SLUG/gh-pages/index.html\n\n …will become:\n https://raw.githubusercontent.com/user/SLUG/gh-pages/index.html\n \"\"\"\n template = ('https://raw.githubusercontent.com/{username}/{slug}'\n '/gh-pages/index.html')\n FMT = [\n r'https?://(?P<name>[^\\.]+)\\.github\\.io/(?P<repo>[^/]+)',\n r'https?://(?P<name>[^\\.]+)\\.github\\.io/(?P<repo>[^/]+)/index\\.html',\n r'https://github\\.com/(?P<name>[^/]+)/(?P<repo>[^/]+)',\n (r'https://github\\.com/(?P<name>[^/]+)/(?P<repo>[^/]+)/'\n r'blob/gh-pages/index\\.html'),\n (r'https://raw.githubusercontent.com/(?P<name>[^/]+)/(?P<repo>\\S+)'\n r'/gh-pages/index.html'),\n ]\n for format in FMT:\n results = re.findall(format, url)\n if results:\n username, slug = results[0]\n # caution: if groups in URL change order, then the formatting\n # below will be broken, because it relies on re.findall() output,\n # which is a tuple (:sad:)\n return template.format(username=username, slug=slug), slug\n\n raise WrongEventURL(\"This event URL is incorrect: {0}\".format(url))\n\n\ndef parse_tags_from_event_index(orig_url):\n url, slug = normalize_event_index_url(orig_url)\n response = requests.get(url)\n\n # will throw requests.exceptions.HTTPError if status is not OK\n response.raise_for_status()\n\n _, headers = get_header(response.text)\n\n try:\n latitude, longitude = headers.get('latlng', '').split(',')\n latitude = latitude.strip()\n longitude = longitude.strip()\n except ValueError:\n latitude, longitude = '', ''\n\n # put instructors, helpers and venue into notes\n notes = \"\"\"INSTRUCTORS: {instructors}\n\nHELPERS: {helpers}\n\nCOUNTRY: {country}\"\"\".format(\n country=headers.get('country', ''),\n instructors=\", \".join(headers.get('instructor') or []),\n helpers=\", \".join(headers.get('helper') or []),\n )\n\n return {\n 'slug': slug,\n 'start': headers.get('startdate', ''),\n 'end': headers.get('enddate', ''),\n 'url': orig_url,\n 'reg_key': headers.get('eventbrite', ''),\n 'contact': headers.get('contact', ''),\n 'notes': notes,\n 'venue': headers.get('venue', ''),\n 'address': headers.get('address', ''),\n # countries aren't written in a standard way, so we can't auto-select\n # them\n 'country': headers.get('country', ''),\n 'latitude': latitude,\n 'longitude': longitude,\n }\n\n\ndef update_event_attendance_from_tasks(event):\n \"\"\"Increase event.attendance if there's more learner tasks belonging to the\n event.\"\"\"\n learners = event.task_set.filter(role__name='learner').count()\n Event.objects \\\n .filter(pk=event.pk) \\\n .filter(Q(attendance__lt=learners) | Q(attendance__isnull=True)) \\\n .update(attendance=learners)\n", "path": "workshops/util.py" } ]
[ { "content": "# coding: utf-8\nimport csv\nfrom math import pi, sin, cos, acos\nimport re\n\nfrom django.core.exceptions import ObjectDoesNotExist\nfrom django.db import IntegrityError, transaction\nfrom django.db.models import Q\nfrom django.core.paginator import Paginator as DjangoPaginator\nimport requests\n\nfrom workshops.check import get_header\nfrom workshops.models import Event, Role, Person, Task, Award\n\n\nclass InternalError(Exception):\n pass\n\n\ndef earth_distance(pos1, pos2):\n '''Taken from http://www.johndcook.com/python_longitude_latitude.html.'''\n\n # Extract fields.\n lat1, long1 = pos1\n lat2, long2 = pos2\n\n # Convert latitude and longitude to spherical coordinates in radians.\n degrees_to_radians = pi/180.0\n\n # phi = 90 - latitude\n phi1 = (90.0 - lat1) * degrees_to_radians\n phi2 = (90.0 - lat2) * degrees_to_radians\n\n # theta = longitude\n theta1 = long1 * degrees_to_radians\n theta2 = long2 * degrees_to_radians\n\n # Compute spherical distance from spherical coordinates.\n # For two locations in spherical coordinates\n # (1, theta, phi) and (1, theta, phi)\n # cosine( arc length ) = sin phi sin phi' cos(theta-theta') + cos phi cos phi'\n # distance = rho * arc length\n c = sin(phi1) * sin(phi2) * cos(theta1 - theta2) + cos(phi1) * cos(phi2)\n\n # due to round-off errors, sometimes c may be out of range\n if c > 1:\n c = 1\n if c < -1:\n c = -1\n arc = acos(c)\n\n # Multiply by 6373 to get distance in km.\n return arc * 6373\n\n\ndef upload_person_task_csv(stream):\n \"\"\"Read people from CSV and return a JSON-serializable list of dicts.\n\n The input `stream` should be a file-like object that returns\n Unicode data.\n\n \"Serializability\" is required because we put this data into session. See\n https://docs.djangoproject.com/en/1.7/topics/http/sessions/ for details.\n\n Also return a list of fields from Person.PERSON_UPLOAD_FIELDS for which\n no data was given.\n \"\"\"\n\n result = []\n reader = csv.DictReader(stream)\n empty_fields = set()\n\n for row in reader:\n # skip empty lines in the CSV\n if not any(row.values()):\n continue\n\n entry = {}\n for col in Person.PERSON_UPLOAD_FIELDS:\n try:\n entry[col] = row[col].strip()\n except (KeyError, IndexError, AttributeError):\n # either `col` is not in `entry`, or not in `row`, or\n # `.strip()` doesn't work (e.g. `row[col]` gives `None` instead\n # of string)\n entry[col] = None\n empty_fields.add(col)\n\n for col in Person.PERSON_TASK_EXTRA_FIELDS:\n entry[col] = row.get(col, None)\n entry['errors'] = None\n\n result.append(entry)\n\n return result, list(empty_fields)\n\n\ndef verify_upload_person_task(data):\n \"\"\"\n Verify that uploaded data is correct. Show errors by populating ``errors``\n dictionary item. This function changes ``data`` in place.\n \"\"\"\n\n errors_occur = False\n for item in data:\n errors = []\n info = []\n\n event = item.get('event', None)\n existing_event = None\n if event:\n try:\n existing_event = Event.objects.get(slug=event)\n except Event.DoesNotExist:\n errors.append(u'Event with slug {0} does not exist.'\n .format(event))\n\n role = item.get('role', None)\n existing_role = None\n if role:\n try:\n existing_role = Role.objects.get(name=role)\n except Role.DoesNotExist:\n errors.append(u'Role with name {0} does not exist.'\n .format(role))\n except Role.MultipleObjectsReturned:\n errors.append(u'More than one role named {0} exists.'\n .format(role))\n\n # check if the user exists, and if so: check if existing user's\n # personal and family names are the same as uploaded\n email = item.get('email', None)\n personal = item.get('personal', None)\n middle = item.get('middle', None)\n family = item.get('family', None)\n person = None\n if email:\n # we don't have to check if the user exists in the database\n # but we should check if, in case the email matches, family and\n # personal names match, too\n\n try:\n person = Person.objects.get(email__iexact=email)\n for (which, actual, uploaded) in (\n ('personal', person.personal, personal),\n ('middle', person.middle, middle),\n ('family', person.family, family)):\n if (actual == uploaded) or ((actual is None) and (uploaded == '')):\n pass\n else:\n errors.append('{0}: database \"{1}\" vs uploaded \"{2}\"'\n .format(which, actual, uploaded))\n\n except Person.DoesNotExist:\n # in this case we need to add the user\n info.append('Person and task will be created.')\n\n else:\n if existing_event and person and existing_role:\n # person, their role and a corresponding event exist, so\n # let's check if the task exists\n try:\n Task.objects.get(event=existing_event, person=person,\n role=existing_role)\n except Task.DoesNotExist:\n info.append('Task will be created')\n else:\n info.append('Task already exists')\n\n if person:\n if not any([event, role]):\n errors.append(\"User exists but no event and role to assign to\"\n \" the user to was provided\")\n\n if (event and not role) or (role and not event):\n errors.append(\"Must have both: event ({0}) and role ({1})\"\n .format(event, role))\n\n if errors:\n errors_occur = True\n item['errors'] = errors\n\n if info:\n item['info'] = info\n\n return errors_occur\n\n\ndef create_uploaded_persons_tasks(data):\n \"\"\"\n Create persons and tasks from upload data.\n \"\"\"\n\n # Quick sanity check.\n if any([row.get('errors') for row in data]):\n raise InternalError('Uploaded data contains errors, cancelling upload')\n\n persons_created = []\n tasks_created = []\n events = set()\n\n with transaction.atomic():\n for row in data:\n try:\n fields = {key: row[key] for key in Person.PERSON_UPLOAD_FIELDS}\n fields['username'] = create_username(row['personal'],\n row['family'])\n if fields['email']:\n # we should use existing Person or create one\n p, created = Person.objects.get_or_create(\n email__iexact=fields['email'], defaults=fields\n )\n\n if created:\n persons_created.append(p)\n\n else:\n # we should create a new Person without any email provided\n p = Person(**fields)\n p.save()\n persons_created.append(p)\n\n if row['event'] and row['role']:\n e = Event.objects.get(slug=row['event'])\n r = Role.objects.get(name=row['role'])\n\n # is the number of learners attending the event changed,\n # we should update ``event.attendance``\n if row['role'] == 'learner':\n events.add(e)\n\n t, created = Task.objects.get_or_create(person=p, event=e,\n role=r)\n if created:\n tasks_created.append(t)\n\n except IntegrityError as e:\n raise IntegrityError('{0} (for {1})'.format(str(e), row))\n\n except ObjectDoesNotExist as e:\n raise ObjectDoesNotExist('{0} (for {1})'.format(str(e), row))\n\n for event in events:\n # if event.attendance is lower than number of learners, then\n # update the attendance\n update_event_attendance_from_tasks(event)\n\n return persons_created, tasks_created\n\n\ndef create_username(personal, family):\n '''Generate unique username.'''\n stem = normalize_name(family) + '.' + normalize_name(personal)\n counter = None\n while True:\n try:\n if counter is None:\n username = stem\n counter = 1\n else:\n counter += 1\n username = '{0}.{1}'.format(stem, counter)\n Person.objects.get(username=username)\n except ObjectDoesNotExist:\n break\n\n if any([ord(c) >= 128 for c in username]):\n raise InternalError('Normalized username still contains non-normal '\n 'characters \"{0}\"'.format(username))\n\n return username\n\n\ndef normalize_name(name):\n '''Get rid of spaces, funky characters, etc.'''\n name = name.strip()\n for (accented, flat) in [(' ', '-')]:\n name = name.replace(accented, flat)\n\n # We should use lower-cased username, because it directly corresponds to\n # some files Software Carpentry stores about some people - and, as we know,\n # some filesystems are not case-sensitive.\n return name.lower()\n\n\nclass Paginator(DjangoPaginator):\n \"\"\"Everything should work as in django.core.paginator.Paginator, except\n this class provides additional generator for nicer set of pages.\"\"\"\n\n _page_number = None\n\n def page(self, number):\n \"\"\"Overridden to store retrieved page number somewhere.\"\"\"\n self._page_number = number\n return super().page(number)\n\n def paginate_sections(self):\n \"\"\"Divide pagination range into 3 sections.\n\n Each section should contain approx. 5 links. If sections are\n overlapping, they're merged.\n The results might be:\n * L…M…R\n * LM…R\n * L…MR\n * LMR\n where L - left section, M - middle section, R - right section, and \"…\"\n stands for a separator.\n \"\"\"\n index = int(self._page_number) or 1\n items = self.page_range\n L = items[0:5]\n M = items[index-3:index+4] or items[0:index+1]\n R = items[-5:]\n L_s = set(L)\n M_s = set(M)\n R_s = set(R)\n\n D1 = L_s.isdisjoint(M_s)\n D2 = M_s.isdisjoint(R_s)\n\n if D1 and D2:\n # L…M…R\n pagination = L + [None] + M + [None] + R\n elif not D1 and D2:\n # LM…R\n pagination = sorted(L_s | M_s) + [None] + R\n elif D1 and not D2:\n # L…MR\n pagination = L + [None] + sorted(M_s | R_s)\n else:\n # LMR\n pagination = sorted(L_s | M_s | R_s)\n\n return pagination\n\n\ndef merge_persons(person_from, person_to):\n for award in person_from.award_set.all():\n try:\n award.person = person_to\n award.save()\n except IntegrityError:\n # unique constraints fail (probably)\n pass\n\n for task in person_from.task_set.all():\n try:\n task.person = person_to\n task.save()\n except IntegrityError:\n # unique constraints fail (probably)\n pass\n\n # update only unique lessons\n person_from.qualification_set.exclude(lesson__in=person_to.lessons.all()) \\\n .update(person=person_to)\n\n person_to.domains.add(*person_from.domains.all())\n\n # removes tasks, awards, qualifications in a cascading way\n person_from.delete()\n\n\nclass WrongEventURL(Exception):\n pass\n\n\ndef normalize_event_index_url(url):\n \"\"\"From any event URL, make one URL to the raw content.\n\n For example:\n\n * http://user.github.io/SLUG/\n * http://user.github.io/SLUG/index.html\n * https://github.com/user/SLUG/\n * https://github.com/user/SLUG/blob/gh-pages/index.html\n * https://raw.githubusercontent.com/user/SLUG/gh-pages/index.html\n\n …will become:\n https://raw.githubusercontent.com/user/SLUG/gh-pages/index.html\n \"\"\"\n template = ('https://raw.githubusercontent.com/{username}/{slug}'\n '/gh-pages/index.html')\n FMT = [\n r'https?://(?P<name>[^\\.]+)\\.github\\.io/(?P<repo>[^/]+)',\n r'https?://(?P<name>[^\\.]+)\\.github\\.io/(?P<repo>[^/]+)/index\\.html',\n r'https://github\\.com/(?P<name>[^/]+)/(?P<repo>[^/]+)',\n (r'https://github\\.com/(?P<name>[^/]+)/(?P<repo>[^/]+)/'\n r'blob/gh-pages/index\\.html'),\n (r'https://raw.githubusercontent.com/(?P<name>[^/]+)/(?P<repo>\\S+)'\n r'/gh-pages/index.html'),\n ]\n for format in FMT:\n results = re.findall(format, url)\n if results:\n username, slug = results[0]\n # caution: if groups in URL change order, then the formatting\n # below will be broken, because it relies on re.findall() output,\n # which is a tuple (:sad:)\n return template.format(username=username, slug=slug), slug\n\n raise WrongEventURL(\"This event URL is incorrect: {0}\".format(url))\n\n\ndef parse_tags_from_event_index(orig_url):\n url, slug = normalize_event_index_url(orig_url)\n response = requests.get(url)\n\n # will throw requests.exceptions.HTTPError if status is not OK\n response.raise_for_status()\n\n _, headers = get_header(response.text)\n\n try:\n latitude, longitude = headers.get('latlng', '').split(',')\n latitude = latitude.strip()\n longitude = longitude.strip()\n except ValueError:\n latitude, longitude = '', ''\n\n # put instructors, helpers and venue into notes\n notes = \"\"\"INSTRUCTORS: {instructors}\n\nHELPERS: {helpers}\n\nCOUNTRY: {country}\"\"\".format(\n country=headers.get('country', ''),\n instructors=\", \".join(headers.get('instructor') or []),\n helpers=\", \".join(headers.get('helper') or []),\n )\n\n return {\n 'slug': slug,\n 'start': headers.get('startdate', ''),\n 'end': headers.get('enddate', ''),\n 'url': orig_url,\n 'reg_key': headers.get('eventbrite', ''),\n 'contact': headers.get('contact', ''),\n 'notes': notes,\n 'venue': headers.get('venue', ''),\n 'address': headers.get('address', ''),\n # countries aren't written in a standard way, so we can't auto-select\n # them\n 'country': headers.get('country', ''),\n 'latitude': latitude,\n 'longitude': longitude,\n }\n\n\ndef update_event_attendance_from_tasks(event):\n \"\"\"Increase event.attendance if there's more learner tasks belonging to the\n event.\"\"\"\n learners = event.task_set.filter(role__name='learner').count()\n Event.objects \\\n .filter(pk=event.pk) \\\n .filter(Q(attendance__lt=learners) | Q(attendance__isnull=True)) \\\n .update(attendance=learners)\n", "path": "workshops/util.py" } ]
diff --git a/workshops/test/test_util.py b/workshops/test/test_util.py index b5a8b6bcb..071bd3b02 100644 --- a/workshops/test/test_util.py +++ b/workshops/test/test_util.py @@ -56,6 +56,15 @@ def test_csv_with_mislabeled_field(self): person_tasks, empty_fields = self.compute_from_string(bad_csv) self.assertTrue('email' in empty_fields) + def test_csv_with_empty_lines(self): + csv = """personal,middle,family,emailaddress +john,m,doe,[email protected] +,,,""" + person_tasks, empty_fields = self.compute_from_string(csv) + self.assertEqual(len(person_tasks), 1) + person = person_tasks[0] + self.assertEqual(person['personal'], 'john') + def test_empty_field(self): ''' Ensure we don't mis-order fields given blank data ''' csv = """personal,middle,family,email diff --git a/workshops/util.py b/workshops/util.py index baacb65f7..fbb7dcb87 100644 --- a/workshops/util.py +++ b/workshops/util.py @@ -71,6 +71,10 @@ def upload_person_task_csv(stream): empty_fields = set() for row in reader: + # skip empty lines in the CSV + if not any(row.values()): + continue + entry = {} for col in Person.PERSON_UPLOAD_FIELDS: try:
Bulk-upload: empty entries in csv files Today I got a strange output form a bulk upload: "Successfully uploaded 37 persons and 24 tasks" The entries were actully 24 and this number was recorded in the workshop page. Piotr found out that there were empty cells in the csv files. Empty cells should be ignored.
Ehco1996__django-sspanel-386
[ { "content": "import os\n\nREDIS_DB_URI = os.getenv(\"REDIS_DB_URI\", \"redis://127.0.0.1:6379/0\")\nREDIS_CACHE_URI = os.getenv(\"REDIS_CACHE_URI\", \"redis://127.0.0.1:6379/1\")\n", "path": "configs/default/redis.py" } ]
[ { "content": "import os\n\nREDIS_HOST = os.getenv(\"REDIS_HOST\", \"127.0.0.1\")\nREDIS_DB_URI = os.getenv(\"REDIS_DB_URI\", \"redis://\"+REDIS_HOST+\":6379/0\")\nREDIS_CACHE_URI = os.getenv(\"REDIS_CACHE_URI\", \"redis://\"+REDIS_HOST+\":6379/1\")\n", "path": "configs/default/redis.py" } ]
diff --git a/configs/default/redis.py b/configs/default/redis.py index 4977f7772..8791521e7 100644 --- a/configs/default/redis.py +++ b/configs/default/redis.py @@ -1,4 +1,5 @@ import os -REDIS_DB_URI = os.getenv("REDIS_DB_URI", "redis://127.0.0.1:6379/0") -REDIS_CACHE_URI = os.getenv("REDIS_CACHE_URI", "redis://127.0.0.1:6379/1") +REDIS_HOST = os.getenv("REDIS_HOST", "127.0.0.1") +REDIS_DB_URI = os.getenv("REDIS_DB_URI", "redis://"+REDIS_HOST+":6379/0") +REDIS_CACHE_URI = os.getenv("REDIS_CACHE_URI", "redis://"+REDIS_HOST+":6379/1") diff --git a/docker-compose.yml b/docker-compose.yml index 67394dc85..37733a07c 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -52,10 +52,12 @@ services: MYSQL_HOST: mysql DJANGO_ENV: production TZ: Asia/Shanghai + REDIS_HOST: redis volumes: - .:/usr/src/app depends_on: - mysql + - redis networks: - sspanel ports: @@ -71,10 +73,12 @@ services: MYSQL_PASSWORD: yourpass MYSQL_HOST: mysql DJANGO_ENV: production + REDIS_HOST: redis volumes: - .:/usr/src/app depends_on: - mysql + - redis networks: - sspanel working_dir: /usr/src/app
Bug connecting to 127.0.0.1:6379. Connection refused. **问题的描述** 登陆或者get请求v2scar对接接口时，出现 **`Error 111 connecting to 127.0.0.1:6379. Connection refused.`** **项目的配置文件** 使用docker-compose up -d 运行 **如何复现** 登陆就出现 **相关截图/log** ![image](https://user-images.githubusercontent.com/24670858/92043739-3b68b900-edaf-11ea-93ad-d62fd2b9d1f7.png) **其他信息** 已经提交pr
PyGithub__PyGithub-1470
[ { "content": "# -*- coding: utf-8 -*-\n\n############################ Copyrights and license ############################\n# #\n# Copyright 2012 Vincent Jacques <[email protected]> #\n# Copyright 2012 Zearin <[email protected]> #\n# Copyright 2013 AKFish <[email protected]> #\n# Copyright 2013 Bill Mill <[email protected]> #\n# Copyright 2013 Vincent Jacques <[email protected]> #\n# Copyright 2013 davidbrai <[email protected]> #\n# Copyright 2014 Thialfihar <[email protected]> #\n# Copyright 2014 Vincent Jacques <[email protected]> #\n# Copyright 2015 Dan Vanderkam <[email protected]> #\n# Copyright 2015 Eliot Walker <[email protected]> #\n# Copyright 2016 Peter Buckley <[email protected]> #\n# Copyright 2017 Jannis Gebauer <[email protected]> #\n# Copyright 2018 Gilad Shefer <[email protected]> #\n# Copyright 2018 Joel Koglin <[email protected]> #\n# Copyright 2018 Wan Liuyang <[email protected]> #\n# Copyright 2018 sfdye <[email protected]> #\n# #\n# This file is part of PyGithub. #\n# http://pygithub.readthedocs.io/ #\n# #\n# PyGithub is free software: you can redistribute it and/or modify it under #\n# the terms of the GNU Lesser General Public License as published by the Free #\n# Software Foundation, either version 3 of the License, or (at your option) #\n# any later version. #\n# #\n# PyGithub is distributed in the hope that it will be useful, but WITHOUT ANY #\n# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS #\n# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more #\n# details. #\n# #\n# You should have received a copy of the GNU Lesser General Public License #\n# along with PyGithub. If not, see <http://www.gnu.org/licenses/>. #\n# #\n################################################################################\n\nfrom urllib.parse import parse_qs\n\n\nclass PaginatedListBase:\n def __init__(self):\n self.__elements = list()\n\n def __getitem__(self, index):\n assert isinstance(index, (int, slice))\n if isinstance(index, int):\n self.__fetchToIndex(index)\n return self.__elements[index]\n else:\n return self._Slice(self, index)\n\n def __iter__(self):\n for element in self.__elements:\n yield element\n while self._couldGrow():\n newElements = self._grow()\n for element in newElements:\n yield element\n\n def _isBiggerThan(self, index):\n return len(self.__elements) > index or self._couldGrow()\n\n def __fetchToIndex(self, index):\n while len(self.__elements) <= index and self._couldGrow():\n self._grow()\n\n def _grow(self):\n newElements = self._fetchNextPage()\n self.__elements += newElements\n return newElements\n\n class _Slice:\n def __init__(self, theList, theSlice):\n self.__list = theList\n self.__start = theSlice.start or 0\n self.__stop = theSlice.stop\n self.__step = theSlice.step or 1\n\n def __iter__(self):\n index = self.__start\n while not self.__finished(index):\n if self.__list._isBiggerThan(index):\n yield self.__list[index]\n index += self.__step\n else:\n return\n\n def __finished(self, index):\n return self.__stop is not None and index >= self.__stop\n\n\nclass PaginatedList(PaginatedListBase):\n \"\"\"\n This class abstracts the `pagination of the API <http://developer.github.com/v3/#pagination>`_.\n\n You can simply enumerate through instances of this class::\n\n for repo in user.get_repos():\n print(repo.name)\n\n If you want to know the total number of items in the list::\n\n print(user.get_repos().totalCount)\n print(len(user.get_repos()))\n\n You can also index them or take slices::\n\n second_repo = user.get_repos()[1]\n first_repos = user.get_repos()[:10]\n\n If you want to iterate in reversed order, just do::\n\n for repo in user.get_repos().reversed:\n print(repo.name)\n\n And if you really need it, you can explicitly access a specific page::\n\n some_repos = user.get_repos().get_page(0)\n some_other_repos = user.get_repos().get_page(3)\n \"\"\"\n\n def __init__(\n self,\n contentClass,\n requester,\n firstUrl,\n firstParams,\n headers=None,\n list_item=\"items\",\n ):\n super().__init__()\n self.__requester = requester\n self.__contentClass = contentClass\n self.__firstUrl = firstUrl\n self.__firstParams = firstParams or ()\n self.__nextUrl = firstUrl\n self.__nextParams = firstParams or {}\n self.__headers = headers\n self.__list_item = list_item\n if self.__requester.per_page != 30:\n self.__nextParams[\"per_page\"] = self.__requester.per_page\n self._reversed = False\n self.__totalCount = None\n\n @property\n def totalCount(self):\n if not self.__totalCount:\n params = {} if self.__nextParams is None else self.__nextParams.copy()\n # set per_page = 1 so the totalCount is just the number of pages\n params.update({\"per_page\": 1})\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__firstUrl, parameters=params, headers=self.__headers\n )\n if \"link\" not in headers:\n if data and \"total_count\" in data:\n self.__totalCount = data[\"total_count\"]\n elif data:\n self.__totalCount = len(data)\n else:\n self.__totalCount = 0\n else:\n links = self.__parseLinkHeader(headers)\n lastUrl = links.get(\"last\")\n self.__totalCount = int(parse_qs(lastUrl)[\"page\"][0])\n return self.__totalCount\n\n def _getLastPageUrl(self):\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__firstUrl, parameters=self.__nextParams, headers=self.__headers\n )\n links = self.__parseLinkHeader(headers)\n lastUrl = links.get(\"last\")\n return lastUrl\n\n @property\n def reversed(self):\n r = PaginatedList(\n self.__contentClass,\n self.__requester,\n self.__firstUrl,\n self.__firstParams,\n self.__headers,\n self.__list_item,\n )\n r.__reverse()\n return r\n\n def __reverse(self):\n self._reversed = True\n lastUrl = self._getLastPageUrl()\n if lastUrl:\n self.__nextUrl = lastUrl\n\n def _couldGrow(self):\n return self.__nextUrl is not None\n\n def _fetchNextPage(self):\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__nextUrl, parameters=self.__nextParams, headers=self.__headers\n )\n data = data if data else []\n\n self.__nextUrl = None\n if len(data) > 0:\n links = self.__parseLinkHeader(headers)\n if self._reversed:\n if \"prev\" in links:\n self.__nextUrl = links[\"prev\"]\n elif \"next\" in links:\n self.__nextUrl = links[\"next\"]\n self.__nextParams = None\n\n if self.__list_item in data:\n self.__totalCount = data.get(\"total_count\")\n data = data[self.__list_item]\n\n content = [\n self.__contentClass(self.__requester, headers, element, completed=False)\n for element in data\n if element is not None\n ]\n if self._reversed:\n return content[::-1]\n return content\n\n def __parseLinkHeader(self, headers):\n links = {}\n if \"link\" in headers:\n linkHeaders = headers[\"link\"].split(\", \")\n for linkHeader in linkHeaders:\n (url, rel) = linkHeader.split(\"; \")\n url = url[1:-1]\n rel = rel[5:-1]\n links[rel] = url\n return links\n\n def get_page(self, page):\n params = dict(self.__firstParams)\n if page != 0:\n params[\"page\"] = page + 1\n if self.__requester.per_page != 30:\n params[\"per_page\"] = self.__requester.per_page\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__firstUrl, parameters=params, headers=self.__headers\n )\n\n if self.__list_item in data:\n self.__totalCount = data.get(\"total_count\")\n data = data[self.__list_item]\n\n return [\n self.__contentClass(self.__requester, headers, element, completed=False)\n for element in data\n ]\n", "path": "github/PaginatedList.py" } ]
[ { "content": "# -*- coding: utf-8 -*-\n\n############################ Copyrights and license ############################\n# #\n# Copyright 2012 Vincent Jacques <[email protected]> #\n# Copyright 2012 Zearin <[email protected]> #\n# Copyright 2013 AKFish <[email protected]> #\n# Copyright 2013 Bill Mill <[email protected]> #\n# Copyright 2013 Vincent Jacques <[email protected]> #\n# Copyright 2013 davidbrai <[email protected]> #\n# Copyright 2014 Thialfihar <[email protected]> #\n# Copyright 2014 Vincent Jacques <[email protected]> #\n# Copyright 2015 Dan Vanderkam <[email protected]> #\n# Copyright 2015 Eliot Walker <[email protected]> #\n# Copyright 2016 Peter Buckley <[email protected]> #\n# Copyright 2017 Jannis Gebauer <[email protected]> #\n# Copyright 2018 Gilad Shefer <[email protected]> #\n# Copyright 2018 Joel Koglin <[email protected]> #\n# Copyright 2018 Wan Liuyang <[email protected]> #\n# Copyright 2018 sfdye <[email protected]> #\n# #\n# This file is part of PyGithub. #\n# http://pygithub.readthedocs.io/ #\n# #\n# PyGithub is free software: you can redistribute it and/or modify it under #\n# the terms of the GNU Lesser General Public License as published by the Free #\n# Software Foundation, either version 3 of the License, or (at your option) #\n# any later version. #\n# #\n# PyGithub is distributed in the hope that it will be useful, but WITHOUT ANY #\n# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS #\n# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more #\n# details. #\n# #\n# You should have received a copy of the GNU Lesser General Public License #\n# along with PyGithub. If not, see <http://www.gnu.org/licenses/>. #\n# #\n################################################################################\n\nfrom urllib.parse import parse_qs\n\n\nclass PaginatedListBase:\n def __init__(self):\n self.__elements = list()\n\n def __getitem__(self, index):\n assert isinstance(index, (int, slice))\n if isinstance(index, int):\n self.__fetchToIndex(index)\n return self.__elements[index]\n else:\n return self._Slice(self, index)\n\n def __iter__(self):\n for element in self.__elements:\n yield element\n while self._couldGrow():\n newElements = self._grow()\n for element in newElements:\n yield element\n\n def _isBiggerThan(self, index):\n return len(self.__elements) > index or self._couldGrow()\n\n def __fetchToIndex(self, index):\n while len(self.__elements) <= index and self._couldGrow():\n self._grow()\n\n def _grow(self):\n newElements = self._fetchNextPage()\n self.__elements += newElements\n return newElements\n\n class _Slice:\n def __init__(self, theList, theSlice):\n self.__list = theList\n self.__start = theSlice.start or 0\n self.__stop = theSlice.stop\n self.__step = theSlice.step or 1\n\n def __iter__(self):\n index = self.__start\n while not self.__finished(index):\n if self.__list._isBiggerThan(index):\n yield self.__list[index]\n index += self.__step\n else:\n return\n\n def __finished(self, index):\n return self.__stop is not None and index >= self.__stop\n\n\nclass PaginatedList(PaginatedListBase):\n \"\"\"\n This class abstracts the `pagination of the API <http://developer.github.com/v3/#pagination>`_.\n\n You can simply enumerate through instances of this class::\n\n for repo in user.get_repos():\n print(repo.name)\n\n If you want to know the total number of items in the list::\n\n print(user.get_repos().totalCount)\n\n You can also index them or take slices::\n\n second_repo = user.get_repos()[1]\n first_repos = user.get_repos()[:10]\n\n If you want to iterate in reversed order, just do::\n\n for repo in user.get_repos().reversed:\n print(repo.name)\n\n And if you really need it, you can explicitly access a specific page::\n\n some_repos = user.get_repos().get_page(0)\n some_other_repos = user.get_repos().get_page(3)\n \"\"\"\n\n def __init__(\n self,\n contentClass,\n requester,\n firstUrl,\n firstParams,\n headers=None,\n list_item=\"items\",\n ):\n super().__init__()\n self.__requester = requester\n self.__contentClass = contentClass\n self.__firstUrl = firstUrl\n self.__firstParams = firstParams or ()\n self.__nextUrl = firstUrl\n self.__nextParams = firstParams or {}\n self.__headers = headers\n self.__list_item = list_item\n if self.__requester.per_page != 30:\n self.__nextParams[\"per_page\"] = self.__requester.per_page\n self._reversed = False\n self.__totalCount = None\n\n @property\n def totalCount(self):\n if not self.__totalCount:\n params = {} if self.__nextParams is None else self.__nextParams.copy()\n # set per_page = 1 so the totalCount is just the number of pages\n params.update({\"per_page\": 1})\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__firstUrl, parameters=params, headers=self.__headers\n )\n if \"link\" not in headers:\n if data and \"total_count\" in data:\n self.__totalCount = data[\"total_count\"]\n elif data:\n self.__totalCount = len(data)\n else:\n self.__totalCount = 0\n else:\n links = self.__parseLinkHeader(headers)\n lastUrl = links.get(\"last\")\n self.__totalCount = int(parse_qs(lastUrl)[\"page\"][0])\n return self.__totalCount\n\n def _getLastPageUrl(self):\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__firstUrl, parameters=self.__nextParams, headers=self.__headers\n )\n links = self.__parseLinkHeader(headers)\n lastUrl = links.get(\"last\")\n return lastUrl\n\n @property\n def reversed(self):\n r = PaginatedList(\n self.__contentClass,\n self.__requester,\n self.__firstUrl,\n self.__firstParams,\n self.__headers,\n self.__list_item,\n )\n r.__reverse()\n return r\n\n def __reverse(self):\n self._reversed = True\n lastUrl = self._getLastPageUrl()\n if lastUrl:\n self.__nextUrl = lastUrl\n\n def _couldGrow(self):\n return self.__nextUrl is not None\n\n def _fetchNextPage(self):\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__nextUrl, parameters=self.__nextParams, headers=self.__headers\n )\n data = data if data else []\n\n self.__nextUrl = None\n if len(data) > 0:\n links = self.__parseLinkHeader(headers)\n if self._reversed:\n if \"prev\" in links:\n self.__nextUrl = links[\"prev\"]\n elif \"next\" in links:\n self.__nextUrl = links[\"next\"]\n self.__nextParams = None\n\n if self.__list_item in data:\n self.__totalCount = data.get(\"total_count\")\n data = data[self.__list_item]\n\n content = [\n self.__contentClass(self.__requester, headers, element, completed=False)\n for element in data\n if element is not None\n ]\n if self._reversed:\n return content[::-1]\n return content\n\n def __parseLinkHeader(self, headers):\n links = {}\n if \"link\" in headers:\n linkHeaders = headers[\"link\"].split(\", \")\n for linkHeader in linkHeaders:\n (url, rel) = linkHeader.split(\"; \")\n url = url[1:-1]\n rel = rel[5:-1]\n links[rel] = url\n return links\n\n def get_page(self, page):\n params = dict(self.__firstParams)\n if page != 0:\n params[\"page\"] = page + 1\n if self.__requester.per_page != 30:\n params[\"per_page\"] = self.__requester.per_page\n headers, data = self.__requester.requestJsonAndCheck(\n \"GET\", self.__firstUrl, parameters=params, headers=self.__headers\n )\n\n if self.__list_item in data:\n self.__totalCount = data.get(\"total_count\")\n data = data[self.__list_item]\n\n return [\n self.__contentClass(self.__requester, headers, element, completed=False)\n for element in data\n ]\n", "path": "github/PaginatedList.py" } ]
diff --git a/github/PaginatedList.py b/github/PaginatedList.py index d92b5969d9..c155570814 100644 --- a/github/PaginatedList.py +++ b/github/PaginatedList.py @@ -104,7 +104,6 @@ class PaginatedList(PaginatedListBase): If you want to know the total number of items in the list:: print(user.get_repos().totalCount) - print(len(user.get_repos())) You can also index them or take slices::
The documentation implies that PaginatedList has __len__, but it doesn't. https://github.com/PyGithub/PyGithub/blob/393bd21bd168769d8ecf4b23f4b32e9a4de5f17a/github/PaginatedList.py#L107 In REPL: ```python >>> print(len(g.search_code(query="filename:vimrc"))) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: object of type 'PaginatedList' has no len() ``` 8ae2bcb implemented `__len__` and mentioned it in the `__doc__`. 8a589c9 removed `__len__` implementation but left `__doc__` as is. Related #579.
cocotb__cocotb-2451
[ { "content": "# Copyright (c) 2013 Potential Ventures Ltd\n# Copyright (c) 2013 SolarFlare Communications Inc\n# All rights reserved.\n\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are met:\n# * Redistributions of source code must retain the above copyright\n# notice, this list of conditions and the following disclaimer.\n# * Redistributions in binary form must reproduce the above copyright\n# notice, this list of conditions and the following disclaimer in the\n# documentation and/or other materials provided with the distribution.\n# * Neither the name of Potential Ventures Ltd,\n# SolarFlare Communications Inc nor the\n# names of its contributors may be used to endorse or promote products\n# derived from this software without specific prior written permission.\n\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\n# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n# DISCLAIMED. IN NO EVENT SHALL POTENTIAL VENTURES LTD BE LIABLE FOR ANY\n# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n\"\"\"\nCocotb is a coroutine, cosimulation framework for writing testbenches in Python.\n\nSee https://docs.cocotb.org for full documentation\n\"\"\"\nimport os\nimport sys\nimport logging\nimport threading\nimport random\nimport time\nimport warnings\nfrom typing import Dict, List, Optional, Union\nfrom collections.abc import Coroutine\n\nimport cocotb.handle\nimport cocotb.log\nfrom cocotb.scheduler import Scheduler\nfrom cocotb.regression import RegressionManager\nfrom cocotb.decorators import RunningTask\n\n# Things we want in the cocotb namespace\nfrom cocotb.decorators import test, coroutine, hook, function, external # noqa: F401\n\nfrom ._version import __version__\n\n\ndef _setup_logging():\n global log\n\n def _reopen_stream_with_buffering(stream_name):\n try:\n if not getattr(sys, stream_name).isatty():\n setattr(sys, stream_name, os.fdopen(getattr(sys, stream_name).fileno(), 'w', 1))\n return True\n return False\n except Exception as e:\n return e\n\n # If stdout/stderr are not TTYs, Python may not have opened them with line\n # buffering. In that case, try to reopen them with line buffering\n # explicitly enabled. This ensures that prints such as stack traces always\n # appear. Continue silently if this fails.\n _stdout_buffer_result = _reopen_stream_with_buffering('stdout')\n _stderr_buffer_result = _reopen_stream_with_buffering('stderr')\n\n # Don't set the logging up until we've attempted to fix the standard IO,\n # otherwise it will end up connected to the unfixed IO.\n cocotb.log.default_config()\n log = logging.getLogger(__name__)\n\n # we can't log these things until the logging is set up!\n if _stderr_buffer_result is True:\n log.debug(\"Reopened stderr with line buffering\")\n if _stdout_buffer_result is True:\n log.debug(\"Reopened stdout with line buffering\")\n if isinstance(_stdout_buffer_result, Exception) or isinstance(_stderr_buffer_result, Exception):\n if isinstance(_stdout_buffer_result, Exception):\n log.warning(\"Failed to ensure that stdout is line buffered\", exc_info=_stdout_buffer_result)\n if isinstance(_stderr_buffer_result, Exception):\n log.warning(\"Failed to ensure that stderr is line buffered\", exc_info=_stderr_buffer_result)\n log.warning(\"Some stack traces may not appear because of this.\")\n\n del _stderr_buffer_result, _stdout_buffer_result\n\n\n# Singleton scheduler instance\n# NB this cheekily ensures a singleton since we're replacing the reference\n# so that cocotb.scheduler gives you the singleton instance and not the\n# scheduler package\n\nscheduler: Optional[Scheduler] = None\n\"\"\"The global scheduler instance.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nregression_manager: Optional[RegressionManager] = None\n\"\"\"The global regression manager instance.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nargv: Optional[List[str]] = None\n\"\"\"The argument list as seen by the simulator.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nargc: Optional[int] = None\n\"\"\"The length of :data:`cocotb.argv`.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nplusargs: Optional[Dict[str, Union[bool, str]]] = None\n\"\"\"A dictionary of \"plusargs\" handed to the simulation.\n\nSee :make:var:`PLUSARGS` for details.\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nLANGUAGE: Optional[str] = os.getenv(\"TOPLEVEL_LANG\")\n\"\"\"The value of :make:var:`TOPLEVEL_LANG`.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nSIM_NAME: Optional[str] = None\n\"\"\"The running simulator product information.\n\n``None`` if :mod:`cocotb` was not loaded from a simulator.\n\"\"\"\n\nSIM_VERSION: Optional[str] = None\n\"\"\"The version of the running simulator.\n\n``None`` if :mod:`cocotb` was not loaded from a simulator.\"\"\"\n\nRANDOM_SEED: Optional[int] = None\n\"\"\"\nThe value passed to the Python default random number generator.\n\nSee :envvar:`RANDOM_SEED` for details on how the value is computed.\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\n_library_coverage = None\n\"\"\" used for cocotb library coverage \"\"\"\n\ntop: Optional[cocotb.handle.SimHandleBase] = None\nr\"\"\"\nA handle to the :envvar:`TOPLEVEL` entity/module.\n\nThis is equivalent to the :term:`DUT` parameter given to cocotb tests, so it can be used wherever that variable can be used.\nIt is particularly useful for extracting information about the :term:`DUT` in module-level class and function definitions;\nand in parameters to :class:`.TestFactory`\\ s.\n``None`` if :mod:`cocotb` was not loaded from a simulator.\n\"\"\"\n\n\ndef fork(coro: Union[RunningTask, Coroutine]) -> RunningTask:\n \"\"\" Schedule a coroutine to be run concurrently. See :ref:`coroutines` for details on its use. \"\"\"\n return scheduler.add(coro)\n\n\n# FIXME is this really required?\n_rlock = threading.RLock()\n\n\ndef mem_debug(port):\n import cocotb.memdebug\n cocotb.memdebug.start(port)\n\n\ndef _initialise_testbench(argv_): # pragma: no cover\n \"\"\"Initialize testbench.\n\n This function is called after the simulator has elaborated all\n entities and is ready to run the test.\n\n The test must be defined by the environment variables\n :envvar:`MODULE` and :envvar:`TESTCASE`.\n\n The environment variable :envvar:`COCOTB_HOOKS`, if present, contains a\n comma-separated list of modules to be executed before the first test.\n \"\"\"\n with _rlock:\n\n if \"COCOTB_LIBRARY_COVERAGE\" in os.environ:\n import coverage\n\n global _library_coverage\n _library_coverage = coverage.coverage(\n data_file=\".coverage.cocotb\",\n branch=True,\n include=[\"{}/*\".format(os.path.dirname(__file__))])\n _library_coverage.start()\n\n return _initialise_testbench_(argv_)\n\n\ndef _initialise_testbench_(argv_):\n # The body of this function is split in two because no coverage is collected on\n # the function that starts the coverage. By splitting it in two we get coverage\n # on most of the function.\n\n global argc, argv\n argv = argv_\n argc = len(argv)\n\n root_name = os.getenv(\"TOPLEVEL\")\n if root_name is not None:\n if root_name == \"\":\n root_name = None\n elif '.' in root_name:\n # Skip any library component of the toplevel\n root_name = root_name.split(\".\", 1)[1]\n\n # sys.path normally includes \"\" (the current directory), but does not appear to when python is embedded.\n # Add it back because users expect to be able to import files in their test directory.\n # TODO: move this to gpi_embed.cpp\n sys.path.insert(0, \"\")\n\n _setup_logging()\n\n # From https://www.python.org/dev/peps/pep-0565/#recommended-filter-settings-for-test-runners\n # If the user doesn't want to see these, they can always change the global\n # warning settings in their test module.\n if not sys.warnoptions:\n warnings.simplefilter(\"default\")\n\n from cocotb import simulator\n\n global SIM_NAME, SIM_VERSION\n SIM_NAME = simulator.get_simulator_product().strip()\n SIM_VERSION = simulator.get_simulator_version().strip()\n\n cocotb.log.info(\"Running on {} version {}\".format(SIM_NAME, SIM_VERSION))\n\n memcheck_port = os.getenv('MEMCHECK')\n if memcheck_port is not None:\n mem_debug(int(memcheck_port))\n\n log.info(\"Running tests with cocotb v%s from %s\" %\n (__version__, os.path.dirname(__file__)))\n\n # Create the base handle type\n\n process_plusargs()\n\n global scheduler\n scheduler = Scheduler()\n\n # Seed the Python random number generator to make this repeatable\n global RANDOM_SEED\n RANDOM_SEED = os.getenv('RANDOM_SEED')\n\n if RANDOM_SEED is None:\n if 'ntb_random_seed' in plusargs:\n RANDOM_SEED = eval(plusargs['ntb_random_seed'])\n elif 'seed' in plusargs:\n RANDOM_SEED = eval(plusargs['seed'])\n else:\n RANDOM_SEED = int(time.time())\n log.info(\"Seeding Python random module with %d\" % (RANDOM_SEED))\n else:\n RANDOM_SEED = int(RANDOM_SEED)\n log.info(\"Seeding Python random module with supplied seed %d\" % (RANDOM_SEED))\n random.seed(RANDOM_SEED)\n\n # Setup DUT object\n from cocotb import simulator\n\n handle = simulator.get_root_handle(root_name)\n if not handle:\n raise RuntimeError(\"Can not find root handle ({})\".format(root_name))\n\n global top\n top = cocotb.handle.SimHandle(handle)\n\n try:\n import pytest\n except ImportError:\n log.warning(\"Pytest not found, assertion rewriting will not occur\")\n else:\n try:\n # Install the assertion rewriting hook, which must be done before we\n # import the test modules.\n from _pytest.config import Config\n from _pytest.assertion import install_importhook\n pytest_conf = Config.fromdictargs([], {})\n install_importhook(pytest_conf)\n except Exception:\n log.exception(\n \"Configuring the assertion rewrite hook using pytest {} failed. \"\n \"Please file a bug report!\".format(pytest.__version__))\n\n # start Regression Manager\n global regression_manager\n regression_manager = RegressionManager.from_discovery(top)\n regression_manager.execute()\n\n return True\n\n\ndef _sim_event(level, message):\n \"\"\"Function that can be called externally to signal an event.\"\"\"\n # SIM_INFO = 0\n SIM_TEST_FAIL = 1\n SIM_FAIL = 2\n from cocotb.result import TestFailure, SimFailure\n\n if level is SIM_TEST_FAIL:\n scheduler.log.error(\"Failing test at simulator request\")\n scheduler._finish_test(TestFailure(\"Failure from external source: {}\".format(message)))\n elif level is SIM_FAIL:\n # We simply return here as the simulator will exit\n # so no cleanup is needed\n msg = \"Failing test at simulator request before test run completion: {}\".format(message)\n scheduler.log.error(msg)\n scheduler._finish_scheduler(SimFailure(msg))\n else:\n scheduler.log.error(\"Unsupported sim event\")\n\n return True\n\n\ndef process_plusargs():\n\n global plusargs\n\n plusargs = {}\n\n for option in cocotb.argv:\n if option.startswith('+'):\n if option.find('=') != -1:\n (name, value) = option[1:].split('=')\n plusargs[name] = value\n else:\n plusargs[option[1:]] = True\n", "path": "cocotb/__init__.py" } ]
[ { "content": "# Copyright (c) 2013 Potential Ventures Ltd\n# Copyright (c) 2013 SolarFlare Communications Inc\n# All rights reserved.\n\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are met:\n# * Redistributions of source code must retain the above copyright\n# notice, this list of conditions and the following disclaimer.\n# * Redistributions in binary form must reproduce the above copyright\n# notice, this list of conditions and the following disclaimer in the\n# documentation and/or other materials provided with the distribution.\n# * Neither the name of Potential Ventures Ltd,\n# SolarFlare Communications Inc nor the\n# names of its contributors may be used to endorse or promote products\n# derived from this software without specific prior written permission.\n\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\n# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n# DISCLAIMED. IN NO EVENT SHALL POTENTIAL VENTURES LTD BE LIABLE FOR ANY\n# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\n# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n\"\"\"\nCocotb is a coroutine, cosimulation framework for writing testbenches in Python.\n\nSee https://docs.cocotb.org for full documentation\n\"\"\"\nimport os\nimport sys\nimport logging\nimport threading\nimport random\nimport time\nimport warnings\nfrom typing import Dict, List, Optional, Union\nfrom collections.abc import Coroutine\n\nimport cocotb.handle\nimport cocotb.log\nfrom cocotb.scheduler import Scheduler\nfrom cocotb.regression import RegressionManager\nfrom cocotb.decorators import RunningTask\n\n# Things we want in the cocotb namespace\nfrom cocotb.decorators import test, coroutine, hook, function, external # noqa: F401\n\nfrom ._version import __version__\n\n\ndef _setup_logging():\n global log\n\n def _reopen_stream_with_buffering(stream_name):\n try:\n if not getattr(sys, stream_name).isatty():\n setattr(sys, stream_name, os.fdopen(getattr(sys, stream_name).fileno(), 'w', 1))\n return True\n return False\n except Exception as e:\n return e\n\n # If stdout/stderr are not TTYs, Python may not have opened them with line\n # buffering. In that case, try to reopen them with line buffering\n # explicitly enabled. This ensures that prints such as stack traces always\n # appear. Continue silently if this fails.\n _stdout_buffer_result = _reopen_stream_with_buffering('stdout')\n _stderr_buffer_result = _reopen_stream_with_buffering('stderr')\n\n # Don't set the logging up until we've attempted to fix the standard IO,\n # otherwise it will end up connected to the unfixed IO.\n cocotb.log.default_config()\n log = logging.getLogger(__name__)\n\n # we can't log these things until the logging is set up!\n if _stderr_buffer_result is True:\n log.debug(\"Reopened stderr with line buffering\")\n if _stdout_buffer_result is True:\n log.debug(\"Reopened stdout with line buffering\")\n if isinstance(_stdout_buffer_result, Exception) or isinstance(_stderr_buffer_result, Exception):\n if isinstance(_stdout_buffer_result, Exception):\n log.warning(\"Failed to ensure that stdout is line buffered\", exc_info=_stdout_buffer_result)\n if isinstance(_stderr_buffer_result, Exception):\n log.warning(\"Failed to ensure that stderr is line buffered\", exc_info=_stderr_buffer_result)\n log.warning(\"Some stack traces may not appear because of this.\")\n\n del _stderr_buffer_result, _stdout_buffer_result\n\n\n# Singleton scheduler instance\n# NB this cheekily ensures a singleton since we're replacing the reference\n# so that cocotb.scheduler gives you the singleton instance and not the\n# scheduler package\n\nscheduler: Optional[Scheduler] = None\n\"\"\"The global scheduler instance.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nregression_manager: Optional[RegressionManager] = None\n\"\"\"The global regression manager instance.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nargv: Optional[List[str]] = None\n\"\"\"The argument list as seen by the simulator.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nargc: Optional[int] = None\n\"\"\"The length of :data:`cocotb.argv`.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nplusargs: Optional[Dict[str, Union[bool, str]]] = None\n\"\"\"A dictionary of \"plusargs\" handed to the simulation.\n\nSee :make:var:`PLUSARGS` for details.\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nLANGUAGE: Optional[str] = os.getenv(\"TOPLEVEL_LANG\")\n\"\"\"The value of :make:var:`TOPLEVEL_LANG`.\n\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\nSIM_NAME: Optional[str] = None\n\"\"\"The running simulator product information.\n\n``None`` if :mod:`cocotb` was not loaded from a simulator.\n\"\"\"\n\nSIM_VERSION: Optional[str] = None\n\"\"\"The version of the running simulator.\n\n``None`` if :mod:`cocotb` was not loaded from a simulator.\"\"\"\n\nRANDOM_SEED: Optional[int] = None\n\"\"\"\nThe value passed to the Python default random number generator.\n\nSee :envvar:`RANDOM_SEED` for details on how the value is computed.\nThis is guaranteed to hold a value at test time.\n\"\"\"\n\n_library_coverage = None\n\"\"\" used for cocotb library coverage \"\"\"\n\ntop: Optional[cocotb.handle.SimHandleBase] = None\nr\"\"\"\nA handle to the :envvar:`TOPLEVEL` entity/module.\n\nThis is equivalent to the :term:`DUT` parameter given to cocotb tests, so it can be used wherever that variable can be used.\nIt is particularly useful for extracting information about the :term:`DUT` in module-level class and function definitions;\nand in parameters to :class:`.TestFactory`\\ s.\n``None`` if :mod:`cocotb` was not loaded from a simulator.\n\"\"\"\n\n\ndef fork(coro: Union[RunningTask, Coroutine]) -> RunningTask:\n \"\"\" Schedule a coroutine to be run concurrently. See :ref:`coroutines` for details on its use. \"\"\"\n return scheduler.add(coro)\n\n\n# FIXME is this really required?\n_rlock = threading.RLock()\n\n\ndef mem_debug(port):\n import cocotb.memdebug\n cocotb.memdebug.start(port)\n\n\ndef _initialise_testbench(argv_): # pragma: no cover\n \"\"\"Initialize testbench.\n\n This function is called after the simulator has elaborated all\n entities and is ready to run the test.\n\n The test must be defined by the environment variables\n :envvar:`MODULE` and :envvar:`TESTCASE`.\n\n The environment variable :envvar:`COCOTB_HOOKS`, if present, contains a\n comma-separated list of modules to be executed before the first test.\n \"\"\"\n with _rlock:\n\n if \"COCOTB_LIBRARY_COVERAGE\" in os.environ:\n import coverage\n\n global _library_coverage\n _library_coverage = coverage.coverage(\n data_file=\".coverage.cocotb\",\n branch=True,\n include=[\"{}/*\".format(os.path.dirname(__file__))])\n _library_coverage.start()\n\n return _initialise_testbench_(argv_)\n\n\ndef _initialise_testbench_(argv_):\n # The body of this function is split in two because no coverage is collected on\n # the function that starts the coverage. By splitting it in two we get coverage\n # on most of the function.\n\n global argc, argv\n argv = argv_\n argc = len(argv)\n\n root_name = os.getenv(\"TOPLEVEL\")\n if root_name is not None:\n root_name = root_name.strip()\n if root_name == \"\":\n root_name = None\n elif '.' in root_name:\n # Skip any library component of the toplevel\n root_name = root_name.split(\".\", 1)[1]\n\n # sys.path normally includes \"\" (the current directory), but does not appear to when python is embedded.\n # Add it back because users expect to be able to import files in their test directory.\n # TODO: move this to gpi_embed.cpp\n sys.path.insert(0, \"\")\n\n _setup_logging()\n\n # From https://www.python.org/dev/peps/pep-0565/#recommended-filter-settings-for-test-runners\n # If the user doesn't want to see these, they can always change the global\n # warning settings in their test module.\n if not sys.warnoptions:\n warnings.simplefilter(\"default\")\n\n from cocotb import simulator\n\n global SIM_NAME, SIM_VERSION\n SIM_NAME = simulator.get_simulator_product().strip()\n SIM_VERSION = simulator.get_simulator_version().strip()\n\n cocotb.log.info(\"Running on {} version {}\".format(SIM_NAME, SIM_VERSION))\n\n memcheck_port = os.getenv('MEMCHECK')\n if memcheck_port is not None:\n mem_debug(int(memcheck_port))\n\n log.info(\"Running tests with cocotb v%s from %s\" %\n (__version__, os.path.dirname(__file__)))\n\n # Create the base handle type\n\n process_plusargs()\n\n global scheduler\n scheduler = Scheduler()\n\n # Seed the Python random number generator to make this repeatable\n global RANDOM_SEED\n RANDOM_SEED = os.getenv('RANDOM_SEED')\n\n if RANDOM_SEED is None:\n if 'ntb_random_seed' in plusargs:\n RANDOM_SEED = eval(plusargs['ntb_random_seed'])\n elif 'seed' in plusargs:\n RANDOM_SEED = eval(plusargs['seed'])\n else:\n RANDOM_SEED = int(time.time())\n log.info(\"Seeding Python random module with %d\" % (RANDOM_SEED))\n else:\n RANDOM_SEED = int(RANDOM_SEED)\n log.info(\"Seeding Python random module with supplied seed %d\" % (RANDOM_SEED))\n random.seed(RANDOM_SEED)\n\n # Setup DUT object\n from cocotb import simulator\n\n handle = simulator.get_root_handle(root_name)\n if not handle:\n raise RuntimeError(\"Can not find root handle ({})\".format(root_name))\n\n global top\n top = cocotb.handle.SimHandle(handle)\n\n try:\n import pytest\n except ImportError:\n log.warning(\"Pytest not found, assertion rewriting will not occur\")\n else:\n try:\n # Install the assertion rewriting hook, which must be done before we\n # import the test modules.\n from _pytest.config import Config\n from _pytest.assertion import install_importhook\n pytest_conf = Config.fromdictargs([], {})\n install_importhook(pytest_conf)\n except Exception:\n log.exception(\n \"Configuring the assertion rewrite hook using pytest {} failed. \"\n \"Please file a bug report!\".format(pytest.__version__))\n\n # start Regression Manager\n global regression_manager\n regression_manager = RegressionManager.from_discovery(top)\n regression_manager.execute()\n\n return True\n\n\ndef _sim_event(level, message):\n \"\"\"Function that can be called externally to signal an event.\"\"\"\n # SIM_INFO = 0\n SIM_TEST_FAIL = 1\n SIM_FAIL = 2\n from cocotb.result import TestFailure, SimFailure\n\n if level is SIM_TEST_FAIL:\n scheduler.log.error(\"Failing test at simulator request\")\n scheduler._finish_test(TestFailure(\"Failure from external source: {}\".format(message)))\n elif level is SIM_FAIL:\n # We simply return here as the simulator will exit\n # so no cleanup is needed\n msg = \"Failing test at simulator request before test run completion: {}\".format(message)\n scheduler.log.error(msg)\n scheduler._finish_scheduler(SimFailure(msg))\n else:\n scheduler.log.error(\"Unsupported sim event\")\n\n return True\n\n\ndef process_plusargs():\n\n global plusargs\n\n plusargs = {}\n\n for option in cocotb.argv:\n if option.startswith('+'):\n if option.find('=') != -1:\n (name, value) = option[1:].split('=')\n plusargs[name] = value\n else:\n plusargs[option[1:]] = True\n", "path": "cocotb/__init__.py" } ]
diff --git a/cocotb/__init__.py b/cocotb/__init__.py index a298c07b94..b447527389 100644 --- a/cocotb/__init__.py +++ b/cocotb/__init__.py @@ -218,6 +218,7 @@ def _initialise_testbench_(argv_): root_name = os.getenv("TOPLEVEL") if root_name is not None: + root_name = root_name.strip() if root_name == "": root_name = None elif '.' in root_name: diff --git a/documentation/source/building.rst b/documentation/source/building.rst index f288066d9b..d7a16b049e 100644 --- a/documentation/source/building.rst +++ b/documentation/source/building.rst @@ -47,6 +47,7 @@ Cocotb Use this to indicate the instance in the hierarchy to use as the :term:`DUT`. If this isn't defined then the first root instance is used. + Leading and trailing whitespace are automaticall discarded. The DUT is available in cocotb tests as a Python object at :data:`cocotb.top`; and is also passed to all cocotb tests as the :ref:`first and only parameter <quickstart_creating_a_test>`.
TOPLEVEL should be whitespace stripped From here: https://github.com/cocotb/cocotb/blob/ecb43878a6af0605fdf08c2f1829cc401bfdeb36/cocotb/__init__.py#L219-L225 On Questa with the FLI, trailing whitespace causes the toplevel entity to not be found since it does a strict `!strcmp()`.
mosaicml__composer-293
[ { "content": "# Copyright 2021 MosaicML. All Rights Reserved.\n\nfrom typing import List, Optional\n\nfrom composer.models.base import MosaicClassifier\nfrom composer.models.model_hparams import Initializer\nfrom composer.models.resnets import CIFAR_ResNet\n\n\nclass CIFAR10_ResNet56(MosaicClassifier):\n \"\"\"A ResNet-56 model extending :class:`MosaicClassifier`.\n\n See this `paper <https://arxiv.org/abs/1512.03385>`_ for details\n on the residual network architecture.\n\n Args:\n num_classes (int): The number of classes for the model.\n initializers (List[Initializer], optional): Initializers\n for the model. ``None`` for no initialization.\n (default: ``None``)\n \"\"\"\n\n def __init__(\n self,\n num_classes: int,\n initializers: Optional[List[Initializer]] = None,\n ) -> None:\n if initializers is None:\n initializers = []\n\n model = CIFAR_ResNet.get_model_from_name(\n \"cifar_resnet_56\",\n initializers,\n num_classes,\n )\n super().__init__(module=model)\n", "path": "composer/models/resnet56_cifar10/model.py" } ]
[ { "content": "# Copyright 2021 MosaicML. All Rights Reserved.\n\nfrom typing import List, Optional\n\nfrom composer.models.base import MosaicClassifier\nfrom composer.models.model_hparams import Initializer\nfrom composer.models.resnets import CIFAR_ResNet\n\n\nclass CIFAR10_ResNet56(MosaicClassifier):\n \"\"\"A ResNet-56 model extending :class:`MosaicClassifier`.\n\n See this `paper <https://arxiv.org/abs/1512.03385>`_ for details\n on the residual network architecture.\n\n Args:\n num_classes (int): The number of classes for the model.\n initializers (List[Initializer], optional): Initializers\n for the model. ``None`` for no initialization.\n (default: ``None``)\n \"\"\"\n\n def __init__(\n self,\n num_classes: int = 10,\n initializers: Optional[List[Initializer]] = None,\n ) -> None:\n if initializers is None:\n initializers = []\n\n model = CIFAR_ResNet.get_model_from_name(\n \"cifar_resnet_56\",\n initializers,\n num_classes,\n )\n super().__init__(module=model)\n", "path": "composer/models/resnet56_cifar10/model.py" } ]
diff --git a/composer/models/resnet56_cifar10/model.py b/composer/models/resnet56_cifar10/model.py index 20f93a6885..55119c91ae 100644 --- a/composer/models/resnet56_cifar10/model.py +++ b/composer/models/resnet56_cifar10/model.py @@ -22,7 +22,7 @@ class CIFAR10_ResNet56(MosaicClassifier): def __init__( self, - num_classes: int, + num_classes: int = 10, initializers: Optional[List[Initializer]] = None, ) -> None: if initializers is None:
ResNet56 default num_classes argument ## 🚀 Feature Request The `num_classes` argument for [ResNet56_cifar10](https://github.com/mosaicml/composer/blob/main/composer/models/resnet56_cifar10/model.py) should have a default value `num_classes=10`. ## Motivation It felt silly when writing a demo notebook to have to specify `num_classes=10` when calling `composer.models.CIFAR10_ResNet56(num_classes=10)`. The model has "cifar10" in its name, and even if it didn't, it's most common use is for cifar10. ## Implementation Does it require any changes beyond the `__init__()` signature?
Qiskit__qiskit-5577
[ { "content": "# This code is part of Qiskit.\n#\n# (C) Copyright IBM 2017, 2018.\n#\n# This code is licensed under the Apache License, Version 2.0. You may\n# obtain a copy of this license in the LICENSE.txt file in the root directory\n# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.\n#\n# Any modifications or derivative works of this code must retain this\n# copyright notice, and modified files need to carry a notice indicating\n# that they have been altered from the originals.\n\n\"\"\"Backend Configuration Classes.\"\"\"\nimport re\nimport copy\nimport numbers\nimport warnings\nfrom typing import Dict, List, Any, Iterable, Union\nfrom collections import defaultdict\n\nfrom qiskit.exceptions import QiskitError\nfrom qiskit.providers.exceptions import BackendConfigurationError\nfrom qiskit.pulse.channels import (AcquireChannel, Channel, ControlChannel,\n DriveChannel, MeasureChannel)\n\n\nclass GateConfig:\n \"\"\"Class representing a Gate Configuration\n\n Attributes:\n name: the gate name as it will be referred to in Qasm.\n parameters: variable names for the gate parameters (if any).\n qasm_def: definition of this gate in terms of Qasm primitives U\n and CX.\n \"\"\"\n\n def __init__(self, name, parameters, qasm_def, coupling_map=None,\n latency_map=None, conditional=None, description=None):\n \"\"\"Initialize a GateConfig object\n\n Args:\n name (str): the gate name as it will be referred to in Qasm.\n parameters (list): variable names for the gate parameters (if any)\n as a list of strings.\n qasm_def (str): definition of this gate in terms of Qasm primitives\n U and CX.\n coupling_map (list): An optional coupling map for the gate. In\n the form of a list of lists of integers representing the qubit\n groupings which are coupled by this gate.\n latency_map (list): An optional map of latency for the gate. In the\n the form of a list of lists of integers of either 0 or 1\n representing an array of dimension\n len(coupling_map) X n_registers that specifies the register\n latency (1: fast, 0: slow) conditional operations on the gate\n conditional (bool): Optionally specify whether this gate supports\n conditional operations (true/false). If this is not specified,\n then the gate inherits the conditional property of the backend.\n description (str): Description of the gate operation\n \"\"\"\n\n self.name = name\n self.parameters = parameters\n self.qasm_def = qasm_def\n # coupling_map with length 0 is invalid\n if coupling_map:\n self.coupling_map = coupling_map\n # latency_map with length 0 is invalid\n if latency_map:\n self.latency_map = latency_map\n if conditional is not None:\n self.conditional = conditional\n if description is not None:\n self.description = description\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new GateConfig object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the GateConfig to create.\n It will be in the same format as output by\n :func:`to_dict`.\n\n Returns:\n GateConfig: The GateConfig from the input dictionary.\n \"\"\"\n return cls(**data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the GateConfig.\n\n Returns:\n dict: The dictionary form of the GateConfig.\n \"\"\"\n out_dict = {\n 'name': self.name,\n 'parameters': self.parameters,\n 'qasm_def': self.qasm_def,\n }\n if hasattr(self, 'coupling_map'):\n out_dict['coupling_map'] = self.coupling_map\n if hasattr(self, 'latency_map'):\n out_dict['latency_map'] = self.latency_map\n if hasattr(self, 'conditional'):\n out_dict['conditional'] = self.conditional\n if hasattr(self, 'description'):\n out_dict['description'] = self.description\n return out_dict\n\n def __eq__(self, other):\n if isinstance(other, GateConfig):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n def __repr__(self):\n out_str = \"GateConfig(%s, %s, %s\" % (self.name, self.parameters,\n self.qasm_def)\n for i in ['coupling_map', 'latency_map', 'conditional', 'description']:\n if hasattr(self, i):\n out_str += ', ' + repr(getattr(self, i))\n out_str += ')'\n return out_str\n\n\nclass UchannelLO:\n \"\"\"Class representing a U Channel LO\n\n Attributes:\n q: Qubit that scale corresponds too.\n scale: Scale factor for qubit frequency.\n \"\"\"\n\n def __init__(self, q, scale):\n \"\"\"Initialize a UchannelLOSchema object\n\n Args:\n q (int): Qubit that scale corresponds too. Must be >= 0.\n scale (complex): Scale factor for qubit frequency.\n\n Raises:\n QiskitError: If q is < 0\n \"\"\"\n if q < 0:\n raise QiskitError('q must be >=0')\n self.q = q\n self.scale = scale\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new UchannelLO object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the UChannelLO to\n create. It will be in the same format as output by\n :func:`to_dict`.\n\n Returns:\n UchannelLO: The UchannelLO from the input dictionary.\n \"\"\"\n return cls(**data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the UChannelLO.\n\n Returns:\n dict: The dictionary form of the UChannelLO.\n \"\"\"\n out_dict = {\n 'q': self.q,\n 'scale': self.scale,\n }\n return out_dict\n\n def __eq__(self, other):\n if isinstance(other, UchannelLO):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n def __repr__(self):\n return \"UchannelLO(%s, %s)\" % (self.q, self.scale)\n\n\nclass QasmBackendConfiguration:\n \"\"\"Class representing a Qasm Backend Configuration.\n\n Attributes:\n backend_name: backend name.\n backend_version: backend version in the form X.Y.Z.\n n_qubits: number of qubits.\n basis_gates: list of basis gates names on the backend.\n gates: list of basis gates on the backend.\n local: backend is local or remote.\n simulator: backend is a simulator.\n conditional: backend supports conditional operations.\n open_pulse: backend supports open pulse.\n memory: backend supports memory.\n max_shots: maximum number of shots supported.\n \"\"\"\n\n _data = {}\n\n def __init__(self, backend_name, backend_version, n_qubits,\n basis_gates, gates, local, simulator,\n conditional, open_pulse, memory,\n max_shots, coupling_map, supported_instructions=None,\n dynamic_reprate_enabled=False, rep_delay_range=None,\n default_rep_delay=None, max_experiments=None,\n sample_name=None, n_registers=None, register_map=None,\n configurable=None, credits_required=None, online_date=None,\n display_name=None, description=None, tags=None, dt=None, dtm=None,\n processor_type=None, **kwargs):\n \"\"\"Initialize a QasmBackendConfiguration Object\n\n Args:\n backend_name (str): The backend name\n backend_version (str): The backend version in the form X.Y.Z\n n_qubits (int): the number of qubits for the backend\n basis_gates (list): The list of strings for the basis gates of the\n backends\n gates (list): The list of GateConfig objects for the basis gates of\n the backend\n local (bool): True if the backend is local or False if remote\n simulator (bool): True if the backend is a simulator\n conditional (bool): True if the backend supports conditional\n operations\n open_pulse (bool): True if the backend supports OpenPulse\n memory (bool): True if the backend supports memory\n max_shots (int): The maximum number of shots allowed on the backend\n coupling_map (list): The coupling map for the device\n supported_instructions (List[str]): Instructions supported by the backend.\n dynamic_reprate_enabled (bool): whether delay between programs can be set dynamically\n (ie via ``rep_delay``). Defaults to False.\n rep_delay_range (List[float]): 2d list defining supported range of repetition\n delays for backend in μs. First entry is lower end of the range, second entry is\n higher end of the range. Optional, but will be specified when\n ``dynamic_reprate_enabled=True``.\n default_rep_delay (float): Value of ``rep_delay`` if not specified by user and\n ``dynamic_reprate_enabled=True``.\n max_experiments (int): The maximum number of experiments per job\n sample_name (str): Sample name for the backend\n n_registers (int): Number of register slots available for feedback\n (if conditional is True)\n register_map (list): An array of dimension n_qubits X\n n_registers that specifies whether a qubit can store a\n measurement in a certain register slot.\n configurable (bool): True if the backend is configurable, if the\n backend is a simulator\n credits_required (bool): True if backend requires credits to run a\n job.\n online_date (datetime): The date that the device went online\n display_name (str): Alternate name field for the backend\n description (str): A description for the backend\n tags (list): A list of string tags to describe the backend\n dt (float): Qubit drive channel timestep in nanoseconds.\n dtm (float): Measurement drive channel timestep in nanoseconds.\n processor_type (dict): Processor type for this backend. A dictionary of the\n form ``{\"family\": <str>, \"revision\": <str>, segment: <str>}`` such as\n ``{\"family\": \"Canary\", \"revision\": \"1.0\", segment: \"A\"}``.\n\n - family: Processor family of this backend.\n - revision: Revision version of this processor.\n - segment: Segment this processor belongs to within a larger chip.\n\n **kwargs: optional fields\n \"\"\"\n self._data = {}\n\n self.backend_name = backend_name\n self.backend_version = backend_version\n self.n_qubits = n_qubits\n self.basis_gates = basis_gates\n self.gates = gates\n self.local = local\n self.simulator = simulator\n self.conditional = conditional\n self.open_pulse = open_pulse\n self.memory = memory\n self.max_shots = max_shots\n self.coupling_map = coupling_map\n if supported_instructions:\n self.supported_instructions = supported_instructions\n\n self.dynamic_reprate_enabled = dynamic_reprate_enabled\n if rep_delay_range:\n self.rep_delay_range = [_rd * 1e-6 for _rd in rep_delay_range] # convert to sec\n if default_rep_delay is not None:\n self.default_rep_delay = default_rep_delay * 1e-6 # convert to sec\n\n # max_experiments must be >=1\n if max_experiments:\n self.max_experiments = max_experiments\n if sample_name is not None:\n self.sample_name = sample_name\n # n_registers must be >=1\n if n_registers:\n self.n_registers = 1\n # register_map must have at least 1 entry\n if register_map:\n self.register_map = register_map\n if configurable is not None:\n self.configurable = configurable\n if credits_required is not None:\n self.credits_required = credits_required\n if online_date is not None:\n self.online_date = online_date\n if display_name is not None:\n self.display_name = display_name\n if description is not None:\n self.description = description\n if tags is not None:\n self.tags = tags\n # Add pulse properties here because some backends do not\n # fit within the Qasm / Pulse backend partitioning in Qiskit\n if dt is not None:\n self.dt = dt * 1e-9\n if dtm is not None:\n self.dtm = dtm * 1e-9\n if processor_type is not None:\n self.processor_type = processor_type\n\n if 'qubit_lo_range' in kwargs.keys():\n kwargs['qubit_lo_range'] = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in kwargs['qubit_lo_range']]\n\n if 'meas_lo_range' in kwargs.keys():\n kwargs['meas_lo_range'] = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in kwargs['meas_lo_range']]\n\n # convert rep_times from μs to sec\n if 'rep_times' in kwargs.keys():\n kwargs['rep_times'] = [_rt * 1e-6 for _rt in kwargs['rep_times']]\n\n self._data.update(kwargs)\n\n def __getattr__(self, name):\n try:\n return self._data[name]\n except KeyError as ex:\n raise AttributeError(f'Attribute {name} is not defined') from ex\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new GateConfig object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the GateConfig to create.\n It will be in the same format as output by\n :func:`to_dict`.\n Returns:\n GateConfig: The GateConfig from the input dictionary.\n \"\"\"\n in_data = copy.copy(data)\n gates = [GateConfig.from_dict(x) for x in in_data.pop('gates')]\n in_data['gates'] = gates\n return cls(**in_data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the GateConfig.\n\n Returns:\n dict: The dictionary form of the GateConfig.\n \"\"\"\n out_dict = {\n 'backend_name': self.backend_name,\n 'backend_version': self.backend_version,\n 'n_qubits': self.n_qubits,\n 'basis_gates': self.basis_gates,\n 'gates': [x.to_dict() for x in self.gates],\n 'local': self.local,\n 'simulator': self.simulator,\n 'conditional': self.conditional,\n 'open_pulse': self.open_pulse,\n 'memory': self.memory,\n 'max_shots': self.max_shots,\n 'coupling_map': self.coupling_map,\n 'dynamic_reprate_enabled': self.dynamic_reprate_enabled\n }\n\n if hasattr(self, 'supported_instructions'):\n out_dict['supported_instructions'] = self.supported_instructions\n\n if hasattr(self, 'rep_delay_range'):\n out_dict['rep_delay_range'] = [_rd * 1e6 for _rd in self.rep_delay_range]\n if hasattr(self, 'default_rep_delay'):\n out_dict['default_rep_delay'] = self.default_rep_delay*1e6\n\n for kwarg in ['max_experiments', 'sample_name', 'n_registers',\n 'register_map', 'configurable', 'credits_required',\n 'online_date', 'display_name', 'description',\n 'tags', 'dt', 'dtm', 'processor_type']:\n if hasattr(self, kwarg):\n out_dict[kwarg] = getattr(self, kwarg)\n\n out_dict.update(self._data)\n\n if 'dt' in out_dict:\n out_dict['dt'] *= 1e9\n if 'dtm' in out_dict:\n out_dict['dtm'] *= 1e9\n\n if 'qubit_lo_range' in out_dict:\n out_dict['qubit_lo_range'] = [\n [min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in out_dict['qubit_lo_range']\n ]\n\n if 'meas_lo_range' in out_dict:\n out_dict['meas_lo_range'] = [\n [min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in out_dict['meas_lo_range']\n ]\n\n return out_dict\n\n @property\n def num_qubits(self):\n \"\"\"Returns the number of qubits.\n\n In future, `n_qubits` should be replaced in favor of `num_qubits` for consistent use\n throughout Qiskit. Until this is properly refactored, this property serves as intermediate\n solution.\n \"\"\"\n return self.n_qubits\n\n def __eq__(self, other):\n if isinstance(other, QasmBackendConfiguration):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n def __contains__(self, item):\n return item in self.__dict__\n\n\nclass BackendConfiguration(QasmBackendConfiguration):\n \"\"\"Backwards compat shim representing an abstract backend configuration.\"\"\"\n pass\n\n\nclass PulseBackendConfiguration(QasmBackendConfiguration):\n \"\"\"Static configuration state for an OpenPulse enabled backend. This contains information\n about the set up of the device which can be useful for building Pulse programs.\n \"\"\"\n\n def __init__(self,\n backend_name: str,\n backend_version: str,\n n_qubits: int,\n basis_gates: List[str],\n gates: GateConfig,\n local: bool,\n simulator: bool,\n conditional: bool,\n open_pulse: bool,\n memory: bool,\n max_shots: int,\n coupling_map,\n n_uchannels: int,\n u_channel_lo: List[List[UchannelLO]],\n meas_levels: List[int],\n qubit_lo_range: List[List[float]],\n meas_lo_range: List[List[float]],\n dt: float,\n dtm: float,\n rep_times: List[float],\n meas_kernels: List[str],\n discriminators: List[str],\n hamiltonian: Dict[str, Any] = None,\n channel_bandwidth=None,\n acquisition_latency=None,\n conditional_latency=None,\n meas_map=None,\n max_experiments=None,\n sample_name=None,\n n_registers=None,\n register_map=None,\n configurable=None,\n credits_required=None,\n online_date=None,\n display_name=None,\n description=None,\n tags=None,\n channels: Dict[str, Any] = None,\n **kwargs):\n \"\"\"\n Initialize a backend configuration that contains all the extra configuration that is made\n available for OpenPulse backends.\n\n Args:\n backend_name: backend name.\n backend_version: backend version in the form X.Y.Z.\n n_qubits: number of qubits.\n basis_gates: list of basis gates names on the backend.\n gates: list of basis gates on the backend.\n local: backend is local or remote.\n simulator: backend is a simulator.\n conditional: backend supports conditional operations.\n open_pulse: backend supports open pulse.\n memory: backend supports memory.\n max_shots: maximum number of shots supported.\n coupling_map (list): The coupling map for the device\n n_uchannels: Number of u-channels.\n u_channel_lo: U-channel relationship on device los.\n meas_levels: Supported measurement levels.\n qubit_lo_range: Qubit lo ranges for each qubit with form (min, max) in GHz.\n meas_lo_range: Measurement lo ranges for each qubit with form (min, max) in GHz.\n dt: Qubit drive channel timestep in nanoseconds.\n dtm: Measurement drive channel timestep in nanoseconds.\n rep_times: Supported repetition times (program execution time) for backend in μs.\n meas_kernels: Supported measurement kernels.\n discriminators: Supported discriminators.\n hamiltonian: An optional dictionary with fields characterizing the system hamiltonian.\n channel_bandwidth (list): Bandwidth of all channels\n (qubit, measurement, and U)\n acquisition_latency (list): Array of dimension\n n_qubits x n_registers. Latency (in units of dt) to write a\n measurement result from qubit n into register slot m.\n conditional_latency (list): Array of dimension n_channels\n [d->u->m] x n_registers. Latency (in units of dt) to do a\n conditional operation on channel n from register slot m\n meas_map (list): Grouping of measurement which are multiplexed\n max_experiments (int): The maximum number of experiments per job\n sample_name (str): Sample name for the backend\n n_registers (int): Number of register slots available for feedback\n (if conditional is True)\n register_map (list): An array of dimension n_qubits X\n n_registers that specifies whether a qubit can store a\n measurement in a certain register slot.\n configurable (bool): True if the backend is configurable, if the\n backend is a simulator\n credits_required (bool): True if backend requires credits to run a\n job.\n online_date (datetime): The date that the device went online\n display_name (str): Alternate name field for the backend\n description (str): A description for the backend\n tags (list): A list of string tags to describe the backend\n channels: An optional dictionary containing information of each channel -- their\n purpose, type, and qubits operated on.\n **kwargs: Optional fields.\n \"\"\"\n self.n_uchannels = n_uchannels\n self.u_channel_lo = u_channel_lo\n self.meas_levels = meas_levels\n self.qubit_lo_range = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in qubit_lo_range]\n self.meas_lo_range = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in meas_lo_range]\n self.meas_kernels = meas_kernels\n self.discriminators = discriminators\n self.hamiltonian = hamiltonian\n if hamiltonian is not None:\n self.hamiltonian = dict(hamiltonian)\n self.hamiltonian['vars'] = {\n k: v * 1e9 if isinstance(v, numbers.Number) else v\n for k, v in self.hamiltonian['vars'].items()\n }\n\n self.rep_times = [_rt * 1e-6 for _rt in rep_times] # convert to sec\n\n self.dt = dt * 1e-9\n self.dtm = dtm * 1e-9\n\n if channels is not None:\n self.channels = channels\n\n (self._qubit_channel_map,\n self._channel_qubit_map,\n self._control_channels) = self._parse_channels(channels=channels)\n\n if channel_bandwidth is not None:\n self.channel_bandwidth = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in channel_bandwidth]\n if acquisition_latency is not None:\n self.acquisition_latency = acquisition_latency\n if conditional_latency is not None:\n self.conditional_latency = conditional_latency\n if meas_map is not None:\n self.meas_map = meas_map\n super().__init__(backend_name=backend_name, backend_version=backend_version,\n n_qubits=n_qubits, basis_gates=basis_gates, gates=gates,\n local=local, simulator=simulator, conditional=conditional,\n open_pulse=open_pulse, memory=memory, max_shots=max_shots,\n coupling_map=coupling_map, max_experiments=max_experiments,\n sample_name=sample_name, n_registers=n_registers,\n register_map=register_map, configurable=configurable,\n credits_required=credits_required, online_date=online_date,\n display_name=display_name, description=description,\n tags=tags, **kwargs)\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new GateConfig object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the GateConfig to create.\n It will be in the same format as output by :func:`to_dict`.\n\n Returns:\n GateConfig: The GateConfig from the input dictionary.\n \"\"\"\n in_data = copy.copy(data)\n gates = [GateConfig.from_dict(x) for x in in_data.pop('gates')]\n in_data['gates'] = gates\n input_uchannels = in_data.pop('u_channel_lo')\n u_channels = []\n for channel in input_uchannels:\n u_channels.append([UchannelLO.from_dict(x) for x in channel])\n in_data['u_channel_lo'] = u_channels\n return cls(**in_data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the GateConfig.\n\n Returns:\n dict: The dictionary form of the GateConfig.\n \"\"\"\n out_dict = super().to_dict()\n u_channel_lo = []\n for x in self.u_channel_lo:\n channel = []\n for y in x:\n channel.append(y.to_dict())\n u_channel_lo.append(channel)\n out_dict.update({\n 'n_uchannels': self.n_uchannels,\n 'u_channel_lo': u_channel_lo,\n 'meas_levels': self.meas_levels,\n 'qubit_lo_range': self.qubit_lo_range,\n 'meas_lo_range': self.meas_lo_range,\n 'meas_kernels': self.meas_kernels,\n 'discriminators': self.discriminators,\n 'rep_times': self.rep_times,\n 'dt': self.dt,\n 'dtm': self.dtm,\n })\n\n if hasattr(self, 'channel_bandwidth'):\n out_dict['channel_bandwidth'] = self.channel_bandwidth\n if hasattr(self, 'meas_map'):\n out_dict['meas_map'] = self.meas_map\n if hasattr(self, 'acquisition_latency'):\n out_dict['acquisition_latency'] = self.acquisition_latency\n if hasattr(self, 'conditional_latency'):\n out_dict['conditional_latency'] = self.conditional_latency\n if 'channels' in out_dict:\n out_dict.pop('_qubit_channel_map')\n out_dict.pop('_channel_qubit_map')\n out_dict.pop('_control_channels')\n\n if self.qubit_lo_range:\n out_dict['qubit_lo_range'] = [\n [min_range * 1e-9, max_range * 1e-9] for\n (min_range, max_range) in self.qubit_lo_range]\n\n if self.meas_lo_range:\n out_dict['meas_lo_range'] = [\n [min_range * 1e-9, max_range * 1e-9] for\n (min_range, max_range) in self.meas_lo_range]\n\n if self.rep_times:\n out_dict['rep_times'] = [_rt * 1e6 for _rt in self.rep_times]\n\n out_dict['dt'] *= 1e9\n out_dict['dtm'] *= 1e9\n\n if hasattr(self, 'channel_bandwidth'):\n out_dict['channel_bandwidth'] = [\n [min_range * 1e-9, max_range * 1e-9] for\n (min_range, max_range) in self.channel_bandwidth]\n\n if self.hamiltonian:\n hamiltonian = copy.deepcopy(self.hamiltonian)\n hamiltonian['vars'] = {\n k: v * 1e-9 if isinstance(v, numbers.Number) else v\n for k, v in hamiltonian['vars'].items()\n }\n out_dict['hamiltonian'] = hamiltonian\n\n return out_dict\n\n def __eq__(self, other):\n if isinstance(other, QasmBackendConfiguration):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n @property\n def sample_rate(self) -> float:\n \"\"\"Sample rate of the signal channels in Hz (1/dt).\"\"\"\n return 1.0 / self.dt\n\n def drive(self, qubit: int) -> DriveChannel:\n \"\"\"\n Return the drive channel for the given qubit.\n\n Raises:\n BackendConfigurationError: If the qubit is not a part of the system.\n\n Returns:\n Qubit drive channel.\n \"\"\"\n if not 0 <= qubit < self.n_qubits:\n raise BackendConfigurationError(\"Invalid index for {}-qubit system.\".format(qubit))\n return DriveChannel(qubit)\n\n def measure(self, qubit: int) -> MeasureChannel:\n \"\"\"\n Return the measure stimulus channel for the given qubit.\n\n Raises:\n BackendConfigurationError: If the qubit is not a part of the system.\n Returns:\n Qubit measurement stimulus line.\n \"\"\"\n if not 0 <= qubit < self.n_qubits:\n raise BackendConfigurationError(\"Invalid index for {}-qubit system.\".format(qubit))\n return MeasureChannel(qubit)\n\n def acquire(self, qubit: int) -> AcquireChannel:\n \"\"\"\n Return the acquisition channel for the given qubit.\n\n Raises:\n BackendConfigurationError: If the qubit is not a part of the system.\n Returns:\n Qubit measurement acquisition line.\n \"\"\"\n if not 0 <= qubit < self.n_qubits:\n raise BackendConfigurationError(\"Invalid index for {}-qubit systems.\".format(qubit))\n return AcquireChannel(qubit)\n\n def control(self, qubits: Iterable[int] = None,\n channel: int = None) -> List[ControlChannel]:\n \"\"\"\n Return the secondary drive channel for the given qubit -- typically utilized for\n controlling multiqubit interactions. This channel is derived from other channels.\n\n Args:\n qubits: Tuple or list of qubits of the form `(control_qubit, target_qubit)`.\n channel: Deprecated.\n\n Raises:\n BackendConfigurationError: If the ``qubits`` is not a part of the system or if\n the backend does not provide `channels` information in its configuration.\n\n Returns:\n List of control channels.\n \"\"\"\n if channel is not None:\n warnings.warn('The channel argument has been deprecated in favor of qubits. '\n 'This method will now return accurate ControlChannels determined '\n 'by qubit indices.',\n DeprecationWarning)\n qubits = [channel]\n try:\n if isinstance(qubits, list):\n qubits = tuple(qubits)\n return self._control_channels[qubits]\n except KeyError as ex:\n raise BackendConfigurationError(\n f\"Couldn't find the ControlChannel operating on qubits {qubits} on \"\n f\"{self.n_qubits}-qubit system. The ControlChannel information is retrieved \"\n \"from the backend.\"\n ) from ex\n except AttributeError as ex:\n raise BackendConfigurationError(\n f\"This backend - '{self.backend_name}' does not provide channel information.\"\n ) from ex\n\n def get_channel_qubits(self, channel: Channel) -> List[int]:\n \"\"\"\n Return a list of indices for qubits which are operated on directly by the given ``channel``.\n\n Raises:\n BackendConfigurationError: If ``channel`` is not a found or if\n the backend does not provide `channels` information in its configuration.\n\n Returns:\n List of qubits operated on my the given ``channel``.\n \"\"\"\n try:\n return self._channel_qubit_map[channel]\n except KeyError as ex:\n raise BackendConfigurationError(f\"Couldn't find the Channel - {channel}\") from ex\n except AttributeError as ex:\n raise BackendConfigurationError(\n f\"This backend - '{self.backend_name}' does not provide channel information.\"\n ) from ex\n\n def get_qubit_channels(self, qubit: Union[int, Iterable[int]]) -> List[Channel]:\n r\"\"\"Return a list of channels which operate on the given ``qubit``.\n\n Raises:\n BackendConfigurationError: If ``qubit`` is not a found or if\n the backend does not provide `channels` information in its configuration.\n\n Returns:\n List of ``Channel``\\s operated on my the given ``qubit``.\n \"\"\"\n channels = set()\n try:\n if isinstance(qubit, int):\n for key in self._qubit_channel_map.keys():\n if qubit in key:\n channels.update(self._qubit_channel_map[key])\n if len(channels) == 0:\n raise KeyError\n elif isinstance(qubit, list):\n qubit = tuple(qubit)\n channels.update(self._qubit_channel_map[qubit])\n elif isinstance(qubit, tuple):\n channels.update(self._qubit_channel_map[qubit])\n return list(channels)\n except KeyError as ex:\n raise BackendConfigurationError(f\"Couldn't find the qubit - {qubit}\") from ex\n except AttributeError as ex:\n raise BackendConfigurationError(\n f\"This backend - '{self.backend_name}' does not provide channel information.\"\n ) from ex\n\n def describe(self, channel: ControlChannel) -> Dict[DriveChannel, complex]:\n \"\"\"\n Return a basic description of the channel dependency. Derived channels are given weights\n which describe how their frames are linked to other frames.\n For instance, the backend could be configured with this setting::\n\n u_channel_lo = [\n [UchannelLO(q=0, scale=1. + 0.j)],\n [UchannelLO(q=0, scale=-1. + 0.j), UchannelLO(q=1, scale=1. + 0.j)]\n ]\n\n Then, this method can be used as follows::\n\n backend.configuration().describe(ControlChannel(1))\n >>> {DriveChannel(0): -1, DriveChannel(1): 1}\n\n Args:\n channel: The derived channel to describe.\n Raises:\n BackendConfigurationError: If channel is not a ControlChannel.\n Returns:\n Control channel derivations.\n \"\"\"\n if not isinstance(channel, ControlChannel):\n raise BackendConfigurationError(\"Can only describe ControlChannels.\")\n result = {}\n for u_chan_lo in self.u_channel_lo[channel.index]:\n result[DriveChannel(u_chan_lo.q)] = u_chan_lo.scale\n return result\n\n def _parse_channels(self, channels: Dict[set, Any]) -> Dict[Any, Any]:\n r\"\"\"\n Generates a dictionaries of ``Channel``\\s, and tuple of qubit(s) they operate on.\n\n Args:\n channels: An optional dictionary containing information of each channel -- their\n purpose, type, and qubits operated on.\n\n Returns:\n qubit_channel_map: Dictionary mapping tuple of qubit(s) to list of ``Channel``\\s.\n channel_qubit_map: Dictionary mapping ``Channel`` to list of qubit(s).\n control_channels: Dictionary mapping tuple of qubit(s), to list of\n ``ControlChannel``\\s.\n \"\"\"\n qubit_channel_map = defaultdict(list)\n channel_qubit_map = defaultdict(list)\n control_channels = defaultdict(list)\n channels_dict = {\n DriveChannel.prefix: DriveChannel,\n ControlChannel.prefix: ControlChannel,\n MeasureChannel.prefix: MeasureChannel,\n 'acquire': AcquireChannel\n }\n for channel, config in channels.items():\n channel_prefix, index = self._get_channel_prefix_index(channel)\n channel_type = channels_dict[channel_prefix]\n qubits = tuple(config['operates']['qubits'])\n if channel_prefix in channels_dict:\n qubit_channel_map[qubits].append(channel_type(index))\n channel_qubit_map[(channel_type(index))].extend(list(qubits))\n if channel_prefix == ControlChannel.prefix:\n control_channels[qubits].append(channel_type(index))\n return dict(qubit_channel_map), dict(channel_qubit_map), dict(control_channels)\n\n def _get_channel_prefix_index(self, channel: str) -> str:\n \"\"\"Return channel prefix and index from the given ``channel``.\n\n Args:\n channel: Name of channel.\n\n Raises:\n BackendConfigurationError: If invalid channel name is found.\n\n Return:\n Channel name and index. For example, if ``channel=acquire0``, this method\n returns ``acquire`` and ``0``.\n \"\"\"\n channel_prefix = re.match(r\"(?P<channel>[a-z]+)(?P<index>[0-9]+)\", channel)\n try:\n return channel_prefix.group('channel'), int(channel_prefix.group('index'))\n except AttributeError as ex:\n raise BackendConfigurationError(f\"Invalid channel name - '{channel}' found.\") from ex\n", "path": "qiskit/providers/models/backendconfiguration.py" } ]
[ { "content": "# This code is part of Qiskit.\n#\n# (C) Copyright IBM 2017, 2018.\n#\n# This code is licensed under the Apache License, Version 2.0. You may\n# obtain a copy of this license in the LICENSE.txt file in the root directory\n# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.\n#\n# Any modifications or derivative works of this code must retain this\n# copyright notice, and modified files need to carry a notice indicating\n# that they have been altered from the originals.\n\n\"\"\"Backend Configuration Classes.\"\"\"\nimport re\nimport copy\nimport numbers\nimport warnings\nfrom typing import Dict, List, Any, Iterable, Union\nfrom collections import defaultdict\n\nfrom qiskit.exceptions import QiskitError\nfrom qiskit.providers.exceptions import BackendConfigurationError\nfrom qiskit.pulse.channels import (AcquireChannel, Channel, ControlChannel,\n DriveChannel, MeasureChannel)\n\n\nclass GateConfig:\n \"\"\"Class representing a Gate Configuration\n\n Attributes:\n name: the gate name as it will be referred to in Qasm.\n parameters: variable names for the gate parameters (if any).\n qasm_def: definition of this gate in terms of Qasm primitives U\n and CX.\n \"\"\"\n\n def __init__(self, name, parameters, qasm_def, coupling_map=None,\n latency_map=None, conditional=None, description=None):\n \"\"\"Initialize a GateConfig object\n\n Args:\n name (str): the gate name as it will be referred to in Qasm.\n parameters (list): variable names for the gate parameters (if any)\n as a list of strings.\n qasm_def (str): definition of this gate in terms of Qasm primitives\n U and CX.\n coupling_map (list): An optional coupling map for the gate. In\n the form of a list of lists of integers representing the qubit\n groupings which are coupled by this gate.\n latency_map (list): An optional map of latency for the gate. In the\n the form of a list of lists of integers of either 0 or 1\n representing an array of dimension\n len(coupling_map) X n_registers that specifies the register\n latency (1: fast, 0: slow) conditional operations on the gate\n conditional (bool): Optionally specify whether this gate supports\n conditional operations (true/false). If this is not specified,\n then the gate inherits the conditional property of the backend.\n description (str): Description of the gate operation\n \"\"\"\n\n self.name = name\n self.parameters = parameters\n self.qasm_def = qasm_def\n # coupling_map with length 0 is invalid\n if coupling_map:\n self.coupling_map = coupling_map\n # latency_map with length 0 is invalid\n if latency_map:\n self.latency_map = latency_map\n if conditional is not None:\n self.conditional = conditional\n if description is not None:\n self.description = description\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new GateConfig object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the GateConfig to create.\n It will be in the same format as output by\n :func:`to_dict`.\n\n Returns:\n GateConfig: The GateConfig from the input dictionary.\n \"\"\"\n return cls(**data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the GateConfig.\n\n Returns:\n dict: The dictionary form of the GateConfig.\n \"\"\"\n out_dict = {\n 'name': self.name,\n 'parameters': self.parameters,\n 'qasm_def': self.qasm_def,\n }\n if hasattr(self, 'coupling_map'):\n out_dict['coupling_map'] = self.coupling_map\n if hasattr(self, 'latency_map'):\n out_dict['latency_map'] = self.latency_map\n if hasattr(self, 'conditional'):\n out_dict['conditional'] = self.conditional\n if hasattr(self, 'description'):\n out_dict['description'] = self.description\n return out_dict\n\n def __eq__(self, other):\n if isinstance(other, GateConfig):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n def __repr__(self):\n out_str = \"GateConfig(%s, %s, %s\" % (self.name, self.parameters,\n self.qasm_def)\n for i in ['coupling_map', 'latency_map', 'conditional', 'description']:\n if hasattr(self, i):\n out_str += ', ' + repr(getattr(self, i))\n out_str += ')'\n return out_str\n\n\nclass UchannelLO:\n \"\"\"Class representing a U Channel LO\n\n Attributes:\n q: Qubit that scale corresponds too.\n scale: Scale factor for qubit frequency.\n \"\"\"\n\n def __init__(self, q, scale):\n \"\"\"Initialize a UchannelLOSchema object\n\n Args:\n q (int): Qubit that scale corresponds too. Must be >= 0.\n scale (complex): Scale factor for qubit frequency.\n\n Raises:\n QiskitError: If q is < 0\n \"\"\"\n if q < 0:\n raise QiskitError('q must be >=0')\n self.q = q\n self.scale = scale\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new UchannelLO object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the UChannelLO to\n create. It will be in the same format as output by\n :func:`to_dict`.\n\n Returns:\n UchannelLO: The UchannelLO from the input dictionary.\n \"\"\"\n return cls(**data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the UChannelLO.\n\n Returns:\n dict: The dictionary form of the UChannelLO.\n \"\"\"\n out_dict = {\n 'q': self.q,\n 'scale': self.scale,\n }\n return out_dict\n\n def __eq__(self, other):\n if isinstance(other, UchannelLO):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n def __repr__(self):\n return \"UchannelLO(%s, %s)\" % (self.q, self.scale)\n\n\nclass QasmBackendConfiguration:\n \"\"\"Class representing a Qasm Backend Configuration.\n\n Attributes:\n backend_name: backend name.\n backend_version: backend version in the form X.Y.Z.\n n_qubits: number of qubits.\n basis_gates: list of basis gates names on the backend.\n gates: list of basis gates on the backend.\n local: backend is local or remote.\n simulator: backend is a simulator.\n conditional: backend supports conditional operations.\n open_pulse: backend supports open pulse.\n memory: backend supports memory.\n max_shots: maximum number of shots supported.\n \"\"\"\n\n _data = {}\n\n def __init__(self, backend_name, backend_version, n_qubits,\n basis_gates, gates, local, simulator,\n conditional, open_pulse, memory,\n max_shots, coupling_map, supported_instructions=None,\n dynamic_reprate_enabled=False, rep_delay_range=None,\n default_rep_delay=None, max_experiments=None,\n sample_name=None, n_registers=None, register_map=None,\n configurable=None, credits_required=None, online_date=None,\n display_name=None, description=None, tags=None, dt=None, dtm=None,\n processor_type=None, **kwargs):\n \"\"\"Initialize a QasmBackendConfiguration Object\n\n Args:\n backend_name (str): The backend name\n backend_version (str): The backend version in the form X.Y.Z\n n_qubits (int): the number of qubits for the backend\n basis_gates (list): The list of strings for the basis gates of the\n backends\n gates (list): The list of GateConfig objects for the basis gates of\n the backend\n local (bool): True if the backend is local or False if remote\n simulator (bool): True if the backend is a simulator\n conditional (bool): True if the backend supports conditional\n operations\n open_pulse (bool): True if the backend supports OpenPulse\n memory (bool): True if the backend supports memory\n max_shots (int): The maximum number of shots allowed on the backend\n coupling_map (list): The coupling map for the device\n supported_instructions (List[str]): Instructions supported by the backend.\n dynamic_reprate_enabled (bool): whether delay between programs can be set dynamically\n (ie via ``rep_delay``). Defaults to False.\n rep_delay_range (List[float]): 2d list defining supported range of repetition\n delays for backend in μs. First entry is lower end of the range, second entry is\n higher end of the range. Optional, but will be specified when\n ``dynamic_reprate_enabled=True``.\n default_rep_delay (float): Value of ``rep_delay`` if not specified by user and\n ``dynamic_reprate_enabled=True``.\n max_experiments (int): The maximum number of experiments per job\n sample_name (str): Sample name for the backend\n n_registers (int): Number of register slots available for feedback\n (if conditional is True)\n register_map (list): An array of dimension n_qubits X\n n_registers that specifies whether a qubit can store a\n measurement in a certain register slot.\n configurable (bool): True if the backend is configurable, if the\n backend is a simulator\n credits_required (bool): True if backend requires credits to run a\n job.\n online_date (datetime): The date that the device went online\n display_name (str): Alternate name field for the backend\n description (str): A description for the backend\n tags (list): A list of string tags to describe the backend\n dt (float): Qubit drive channel timestep in nanoseconds.\n dtm (float): Measurement drive channel timestep in nanoseconds.\n processor_type (dict): Processor type for this backend. A dictionary of the\n form ``{\"family\": <str>, \"revision\": <str>, segment: <str>}`` such as\n ``{\"family\": \"Canary\", \"revision\": \"1.0\", segment: \"A\"}``.\n\n - family: Processor family of this backend.\n - revision: Revision version of this processor.\n - segment: Segment this processor belongs to within a larger chip.\n\n **kwargs: optional fields\n \"\"\"\n self._data = {}\n\n self.backend_name = backend_name\n self.backend_version = backend_version\n self.n_qubits = n_qubits\n self.basis_gates = basis_gates\n self.gates = gates\n self.local = local\n self.simulator = simulator\n self.conditional = conditional\n self.open_pulse = open_pulse\n self.memory = memory\n self.max_shots = max_shots\n self.coupling_map = coupling_map\n if supported_instructions:\n self.supported_instructions = supported_instructions\n\n self.dynamic_reprate_enabled = dynamic_reprate_enabled\n if rep_delay_range:\n self.rep_delay_range = [_rd * 1e-6 for _rd in rep_delay_range] # convert to sec\n if default_rep_delay is not None:\n self.default_rep_delay = default_rep_delay * 1e-6 # convert to sec\n\n # max_experiments must be >=1\n if max_experiments:\n self.max_experiments = max_experiments\n if sample_name is not None:\n self.sample_name = sample_name\n # n_registers must be >=1\n if n_registers:\n self.n_registers = 1\n # register_map must have at least 1 entry\n if register_map:\n self.register_map = register_map\n if configurable is not None:\n self.configurable = configurable\n if credits_required is not None:\n self.credits_required = credits_required\n if online_date is not None:\n self.online_date = online_date\n if display_name is not None:\n self.display_name = display_name\n if description is not None:\n self.description = description\n if tags is not None:\n self.tags = tags\n # Add pulse properties here because some backends do not\n # fit within the Qasm / Pulse backend partitioning in Qiskit\n if dt is not None:\n self.dt = dt * 1e-9\n if dtm is not None:\n self.dtm = dtm * 1e-9\n if processor_type is not None:\n self.processor_type = processor_type\n\n if 'qubit_lo_range' in kwargs.keys():\n kwargs['qubit_lo_range'] = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in kwargs['qubit_lo_range']]\n\n if 'meas_lo_range' in kwargs.keys():\n kwargs['meas_lo_range'] = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in kwargs['meas_lo_range']]\n\n # convert rep_times from μs to sec\n if 'rep_times' in kwargs.keys():\n kwargs['rep_times'] = [_rt * 1e-6 for _rt in kwargs['rep_times']]\n\n self._data.update(kwargs)\n\n def __getattr__(self, name):\n try:\n return self._data[name]\n except KeyError as ex:\n raise AttributeError(f'Attribute {name} is not defined') from ex\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new GateConfig object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the GateConfig to create.\n It will be in the same format as output by\n :func:`to_dict`.\n Returns:\n GateConfig: The GateConfig from the input dictionary.\n \"\"\"\n in_data = copy.copy(data)\n gates = [GateConfig.from_dict(x) for x in in_data.pop('gates')]\n in_data['gates'] = gates\n return cls(**in_data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the GateConfig.\n\n Returns:\n dict: The dictionary form of the GateConfig.\n \"\"\"\n out_dict = {\n 'backend_name': self.backend_name,\n 'backend_version': self.backend_version,\n 'n_qubits': self.n_qubits,\n 'basis_gates': self.basis_gates,\n 'gates': [x.to_dict() for x in self.gates],\n 'local': self.local,\n 'simulator': self.simulator,\n 'conditional': self.conditional,\n 'open_pulse': self.open_pulse,\n 'memory': self.memory,\n 'max_shots': self.max_shots,\n 'coupling_map': self.coupling_map,\n 'dynamic_reprate_enabled': self.dynamic_reprate_enabled\n }\n\n if hasattr(self, 'supported_instructions'):\n out_dict['supported_instructions'] = self.supported_instructions\n\n if hasattr(self, 'rep_delay_range'):\n out_dict['rep_delay_range'] = [_rd * 1e6 for _rd in self.rep_delay_range]\n if hasattr(self, 'default_rep_delay'):\n out_dict['default_rep_delay'] = self.default_rep_delay*1e6\n\n for kwarg in ['max_experiments', 'sample_name', 'n_registers',\n 'register_map', 'configurable', 'credits_required',\n 'online_date', 'display_name', 'description',\n 'tags', 'dt', 'dtm', 'processor_type']:\n if hasattr(self, kwarg):\n out_dict[kwarg] = getattr(self, kwarg)\n\n out_dict.update(self._data)\n\n if 'dt' in out_dict:\n out_dict['dt'] *= 1e9\n if 'dtm' in out_dict:\n out_dict['dtm'] *= 1e9\n\n if 'qubit_lo_range' in out_dict:\n out_dict['qubit_lo_range'] = [\n [min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in out_dict['qubit_lo_range']\n ]\n\n if 'meas_lo_range' in out_dict:\n out_dict['meas_lo_range'] = [\n [min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in out_dict['meas_lo_range']\n ]\n\n return out_dict\n\n @property\n def num_qubits(self):\n \"\"\"Returns the number of qubits.\n\n In future, `n_qubits` should be replaced in favor of `num_qubits` for consistent use\n throughout Qiskit. Until this is properly refactored, this property serves as intermediate\n solution.\n \"\"\"\n return self.n_qubits\n\n def __eq__(self, other):\n if isinstance(other, QasmBackendConfiguration):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n def __contains__(self, item):\n return item in self.__dict__\n\n\nclass BackendConfiguration(QasmBackendConfiguration):\n \"\"\"Backwards compat shim representing an abstract backend configuration.\"\"\"\n pass\n\n\nclass PulseBackendConfiguration(QasmBackendConfiguration):\n \"\"\"Static configuration state for an OpenPulse enabled backend. This contains information\n about the set up of the device which can be useful for building Pulse programs.\n \"\"\"\n\n def __init__(self,\n backend_name: str,\n backend_version: str,\n n_qubits: int,\n basis_gates: List[str],\n gates: GateConfig,\n local: bool,\n simulator: bool,\n conditional: bool,\n open_pulse: bool,\n memory: bool,\n max_shots: int,\n coupling_map,\n n_uchannels: int,\n u_channel_lo: List[List[UchannelLO]],\n meas_levels: List[int],\n qubit_lo_range: List[List[float]],\n meas_lo_range: List[List[float]],\n dt: float,\n dtm: float,\n rep_times: List[float],\n meas_kernels: List[str],\n discriminators: List[str],\n hamiltonian: Dict[str, Any] = None,\n channel_bandwidth=None,\n acquisition_latency=None,\n conditional_latency=None,\n meas_map=None,\n max_experiments=None,\n sample_name=None,\n n_registers=None,\n register_map=None,\n configurable=None,\n credits_required=None,\n online_date=None,\n display_name=None,\n description=None,\n tags=None,\n channels: Dict[str, Any] = None,\n **kwargs):\n \"\"\"\n Initialize a backend configuration that contains all the extra configuration that is made\n available for OpenPulse backends.\n\n Args:\n backend_name: backend name.\n backend_version: backend version in the form X.Y.Z.\n n_qubits: number of qubits.\n basis_gates: list of basis gates names on the backend.\n gates: list of basis gates on the backend.\n local: backend is local or remote.\n simulator: backend is a simulator.\n conditional: backend supports conditional operations.\n open_pulse: backend supports open pulse.\n memory: backend supports memory.\n max_shots: maximum number of shots supported.\n coupling_map (list): The coupling map for the device\n n_uchannels: Number of u-channels.\n u_channel_lo: U-channel relationship on device los.\n meas_levels: Supported measurement levels.\n qubit_lo_range: Qubit lo ranges for each qubit with form (min, max) in GHz.\n meas_lo_range: Measurement lo ranges for each qubit with form (min, max) in GHz.\n dt: Qubit drive channel timestep in nanoseconds.\n dtm: Measurement drive channel timestep in nanoseconds.\n rep_times: Supported repetition times (program execution time) for backend in μs.\n meas_kernels: Supported measurement kernels.\n discriminators: Supported discriminators.\n hamiltonian: An optional dictionary with fields characterizing the system hamiltonian.\n channel_bandwidth (list): Bandwidth of all channels\n (qubit, measurement, and U)\n acquisition_latency (list): Array of dimension\n n_qubits x n_registers. Latency (in units of dt) to write a\n measurement result from qubit n into register slot m.\n conditional_latency (list): Array of dimension n_channels\n [d->u->m] x n_registers. Latency (in units of dt) to do a\n conditional operation on channel n from register slot m\n meas_map (list): Grouping of measurement which are multiplexed\n max_experiments (int): The maximum number of experiments per job\n sample_name (str): Sample name for the backend\n n_registers (int): Number of register slots available for feedback\n (if conditional is True)\n register_map (list): An array of dimension n_qubits X\n n_registers that specifies whether a qubit can store a\n measurement in a certain register slot.\n configurable (bool): True if the backend is configurable, if the\n backend is a simulator\n credits_required (bool): True if backend requires credits to run a\n job.\n online_date (datetime): The date that the device went online\n display_name (str): Alternate name field for the backend\n description (str): A description for the backend\n tags (list): A list of string tags to describe the backend\n channels: An optional dictionary containing information of each channel -- their\n purpose, type, and qubits operated on.\n **kwargs: Optional fields.\n \"\"\"\n self.n_uchannels = n_uchannels\n self.u_channel_lo = u_channel_lo\n self.meas_levels = meas_levels\n self.qubit_lo_range = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in qubit_lo_range]\n self.meas_lo_range = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in meas_lo_range]\n self.meas_kernels = meas_kernels\n self.discriminators = discriminators\n self.hamiltonian = hamiltonian\n if hamiltonian is not None:\n self.hamiltonian = dict(hamiltonian)\n self.hamiltonian['vars'] = {\n k: v * 1e9 if isinstance(v, numbers.Number) else v\n for k, v in self.hamiltonian['vars'].items()\n }\n\n self.rep_times = [_rt * 1e-6 for _rt in rep_times] # convert to sec\n\n self.dt = dt * 1e-9\n self.dtm = dtm * 1e-9\n\n if channels is not None:\n self.channels = channels\n\n (self._qubit_channel_map,\n self._channel_qubit_map,\n self._control_channels) = self._parse_channels(channels=channels)\n\n if channel_bandwidth is not None:\n self.channel_bandwidth = [[min_range * 1e9, max_range * 1e9] for\n (min_range, max_range) in channel_bandwidth]\n if acquisition_latency is not None:\n self.acquisition_latency = acquisition_latency\n if conditional_latency is not None:\n self.conditional_latency = conditional_latency\n if meas_map is not None:\n self.meas_map = meas_map\n super().__init__(backend_name=backend_name, backend_version=backend_version,\n n_qubits=n_qubits, basis_gates=basis_gates, gates=gates,\n local=local, simulator=simulator, conditional=conditional,\n open_pulse=open_pulse, memory=memory, max_shots=max_shots,\n coupling_map=coupling_map, max_experiments=max_experiments,\n sample_name=sample_name, n_registers=n_registers,\n register_map=register_map, configurable=configurable,\n credits_required=credits_required, online_date=online_date,\n display_name=display_name, description=description,\n tags=tags, **kwargs)\n\n @classmethod\n def from_dict(cls, data):\n \"\"\"Create a new GateConfig object from a dictionary.\n\n Args:\n data (dict): A dictionary representing the GateConfig to create.\n It will be in the same format as output by :func:`to_dict`.\n\n Returns:\n GateConfig: The GateConfig from the input dictionary.\n \"\"\"\n in_data = copy.copy(data)\n gates = [GateConfig.from_dict(x) for x in in_data.pop('gates')]\n in_data['gates'] = gates\n input_uchannels = in_data.pop('u_channel_lo')\n u_channels = []\n for channel in input_uchannels:\n u_channels.append([UchannelLO.from_dict(x) for x in channel])\n in_data['u_channel_lo'] = u_channels\n return cls(**in_data)\n\n def to_dict(self):\n \"\"\"Return a dictionary format representation of the GateConfig.\n\n Returns:\n dict: The dictionary form of the GateConfig.\n \"\"\"\n out_dict = super().to_dict()\n u_channel_lo = []\n for x in self.u_channel_lo:\n channel = []\n for y in x:\n channel.append(y.to_dict())\n u_channel_lo.append(channel)\n out_dict.update({\n 'n_uchannels': self.n_uchannels,\n 'u_channel_lo': u_channel_lo,\n 'meas_levels': self.meas_levels,\n 'qubit_lo_range': self.qubit_lo_range,\n 'meas_lo_range': self.meas_lo_range,\n 'meas_kernels': self.meas_kernels,\n 'discriminators': self.discriminators,\n 'rep_times': self.rep_times,\n 'dt': self.dt,\n 'dtm': self.dtm,\n })\n\n if hasattr(self, 'channel_bandwidth'):\n out_dict['channel_bandwidth'] = self.channel_bandwidth\n if hasattr(self, 'meas_map'):\n out_dict['meas_map'] = self.meas_map\n if hasattr(self, 'acquisition_latency'):\n out_dict['acquisition_latency'] = self.acquisition_latency\n if hasattr(self, 'conditional_latency'):\n out_dict['conditional_latency'] = self.conditional_latency\n if 'channels' in out_dict:\n out_dict.pop('_qubit_channel_map')\n out_dict.pop('_channel_qubit_map')\n out_dict.pop('_control_channels')\n\n if self.qubit_lo_range:\n out_dict['qubit_lo_range'] = [\n [min_range * 1e-9, max_range * 1e-9] for\n (min_range, max_range) in self.qubit_lo_range]\n\n if self.meas_lo_range:\n out_dict['meas_lo_range'] = [\n [min_range * 1e-9, max_range * 1e-9] for\n (min_range, max_range) in self.meas_lo_range]\n\n if self.rep_times:\n out_dict['rep_times'] = [_rt * 1e6 for _rt in self.rep_times]\n\n out_dict['dt'] *= 1e9\n out_dict['dtm'] *= 1e9\n\n if hasattr(self, 'channel_bandwidth'):\n out_dict['channel_bandwidth'] = [\n [min_range * 1e-9, max_range * 1e-9] for\n (min_range, max_range) in self.channel_bandwidth]\n\n if self.hamiltonian:\n hamiltonian = copy.deepcopy(self.hamiltonian)\n hamiltonian['vars'] = {\n k: v * 1e-9 if isinstance(v, numbers.Number) else v\n for k, v in hamiltonian['vars'].items()\n }\n out_dict['hamiltonian'] = hamiltonian\n\n if hasattr(self, 'channels'):\n out_dict['channels'] = self.channels\n\n return out_dict\n\n def __eq__(self, other):\n if isinstance(other, QasmBackendConfiguration):\n if self.to_dict() == other.to_dict():\n return True\n return False\n\n @property\n def sample_rate(self) -> float:\n \"\"\"Sample rate of the signal channels in Hz (1/dt).\"\"\"\n return 1.0 / self.dt\n\n def drive(self, qubit: int) -> DriveChannel:\n \"\"\"\n Return the drive channel for the given qubit.\n\n Raises:\n BackendConfigurationError: If the qubit is not a part of the system.\n\n Returns:\n Qubit drive channel.\n \"\"\"\n if not 0 <= qubit < self.n_qubits:\n raise BackendConfigurationError(\"Invalid index for {}-qubit system.\".format(qubit))\n return DriveChannel(qubit)\n\n def measure(self, qubit: int) -> MeasureChannel:\n \"\"\"\n Return the measure stimulus channel for the given qubit.\n\n Raises:\n BackendConfigurationError: If the qubit is not a part of the system.\n Returns:\n Qubit measurement stimulus line.\n \"\"\"\n if not 0 <= qubit < self.n_qubits:\n raise BackendConfigurationError(\"Invalid index for {}-qubit system.\".format(qubit))\n return MeasureChannel(qubit)\n\n def acquire(self, qubit: int) -> AcquireChannel:\n \"\"\"\n Return the acquisition channel for the given qubit.\n\n Raises:\n BackendConfigurationError: If the qubit is not a part of the system.\n Returns:\n Qubit measurement acquisition line.\n \"\"\"\n if not 0 <= qubit < self.n_qubits:\n raise BackendConfigurationError(\"Invalid index for {}-qubit systems.\".format(qubit))\n return AcquireChannel(qubit)\n\n def control(self, qubits: Iterable[int] = None,\n channel: int = None) -> List[ControlChannel]:\n \"\"\"\n Return the secondary drive channel for the given qubit -- typically utilized for\n controlling multiqubit interactions. This channel is derived from other channels.\n\n Args:\n qubits: Tuple or list of qubits of the form `(control_qubit, target_qubit)`.\n channel: Deprecated.\n\n Raises:\n BackendConfigurationError: If the ``qubits`` is not a part of the system or if\n the backend does not provide `channels` information in its configuration.\n\n Returns:\n List of control channels.\n \"\"\"\n if channel is not None:\n warnings.warn('The channel argument has been deprecated in favor of qubits. '\n 'This method will now return accurate ControlChannels determined '\n 'by qubit indices.',\n DeprecationWarning)\n qubits = [channel]\n try:\n if isinstance(qubits, list):\n qubits = tuple(qubits)\n return self._control_channels[qubits]\n except KeyError as ex:\n raise BackendConfigurationError(\n f\"Couldn't find the ControlChannel operating on qubits {qubits} on \"\n f\"{self.n_qubits}-qubit system. The ControlChannel information is retrieved \"\n \"from the backend.\"\n ) from ex\n except AttributeError as ex:\n raise BackendConfigurationError(\n f\"This backend - '{self.backend_name}' does not provide channel information.\"\n ) from ex\n\n def get_channel_qubits(self, channel: Channel) -> List[int]:\n \"\"\"\n Return a list of indices for qubits which are operated on directly by the given ``channel``.\n\n Raises:\n BackendConfigurationError: If ``channel`` is not a found or if\n the backend does not provide `channels` information in its configuration.\n\n Returns:\n List of qubits operated on my the given ``channel``.\n \"\"\"\n try:\n return self._channel_qubit_map[channel]\n except KeyError as ex:\n raise BackendConfigurationError(f\"Couldn't find the Channel - {channel}\") from ex\n except AttributeError as ex:\n raise BackendConfigurationError(\n f\"This backend - '{self.backend_name}' does not provide channel information.\"\n ) from ex\n\n def get_qubit_channels(self, qubit: Union[int, Iterable[int]]) -> List[Channel]:\n r\"\"\"Return a list of channels which operate on the given ``qubit``.\n\n Raises:\n BackendConfigurationError: If ``qubit`` is not a found or if\n the backend does not provide `channels` information in its configuration.\n\n Returns:\n List of ``Channel``\\s operated on my the given ``qubit``.\n \"\"\"\n channels = set()\n try:\n if isinstance(qubit, int):\n for key in self._qubit_channel_map.keys():\n if qubit in key:\n channels.update(self._qubit_channel_map[key])\n if len(channels) == 0:\n raise KeyError\n elif isinstance(qubit, list):\n qubit = tuple(qubit)\n channels.update(self._qubit_channel_map[qubit])\n elif isinstance(qubit, tuple):\n channels.update(self._qubit_channel_map[qubit])\n return list(channels)\n except KeyError as ex:\n raise BackendConfigurationError(f\"Couldn't find the qubit - {qubit}\") from ex\n except AttributeError as ex:\n raise BackendConfigurationError(\n f\"This backend - '{self.backend_name}' does not provide channel information.\"\n ) from ex\n\n def describe(self, channel: ControlChannel) -> Dict[DriveChannel, complex]:\n \"\"\"\n Return a basic description of the channel dependency. Derived channels are given weights\n which describe how their frames are linked to other frames.\n For instance, the backend could be configured with this setting::\n\n u_channel_lo = [\n [UchannelLO(q=0, scale=1. + 0.j)],\n [UchannelLO(q=0, scale=-1. + 0.j), UchannelLO(q=1, scale=1. + 0.j)]\n ]\n\n Then, this method can be used as follows::\n\n backend.configuration().describe(ControlChannel(1))\n >>> {DriveChannel(0): -1, DriveChannel(1): 1}\n\n Args:\n channel: The derived channel to describe.\n Raises:\n BackendConfigurationError: If channel is not a ControlChannel.\n Returns:\n Control channel derivations.\n \"\"\"\n if not isinstance(channel, ControlChannel):\n raise BackendConfigurationError(\"Can only describe ControlChannels.\")\n result = {}\n for u_chan_lo in self.u_channel_lo[channel.index]:\n result[DriveChannel(u_chan_lo.q)] = u_chan_lo.scale\n return result\n\n def _parse_channels(self, channels: Dict[set, Any]) -> Dict[Any, Any]:\n r\"\"\"\n Generates a dictionaries of ``Channel``\\s, and tuple of qubit(s) they operate on.\n\n Args:\n channels: An optional dictionary containing information of each channel -- their\n purpose, type, and qubits operated on.\n\n Returns:\n qubit_channel_map: Dictionary mapping tuple of qubit(s) to list of ``Channel``\\s.\n channel_qubit_map: Dictionary mapping ``Channel`` to list of qubit(s).\n control_channels: Dictionary mapping tuple of qubit(s), to list of\n ``ControlChannel``\\s.\n \"\"\"\n qubit_channel_map = defaultdict(list)\n channel_qubit_map = defaultdict(list)\n control_channels = defaultdict(list)\n channels_dict = {\n DriveChannel.prefix: DriveChannel,\n ControlChannel.prefix: ControlChannel,\n MeasureChannel.prefix: MeasureChannel,\n 'acquire': AcquireChannel\n }\n for channel, config in channels.items():\n channel_prefix, index = self._get_channel_prefix_index(channel)\n channel_type = channels_dict[channel_prefix]\n qubits = tuple(config['operates']['qubits'])\n if channel_prefix in channels_dict:\n qubit_channel_map[qubits].append(channel_type(index))\n channel_qubit_map[(channel_type(index))].extend(list(qubits))\n if channel_prefix == ControlChannel.prefix:\n control_channels[qubits].append(channel_type(index))\n return dict(qubit_channel_map), dict(channel_qubit_map), dict(control_channels)\n\n def _get_channel_prefix_index(self, channel: str) -> str:\n \"\"\"Return channel prefix and index from the given ``channel``.\n\n Args:\n channel: Name of channel.\n\n Raises:\n BackendConfigurationError: If invalid channel name is found.\n\n Return:\n Channel name and index. For example, if ``channel=acquire0``, this method\n returns ``acquire`` and ``0``.\n \"\"\"\n channel_prefix = re.match(r\"(?P<channel>[a-z]+)(?P<index>[0-9]+)\", channel)\n try:\n return channel_prefix.group('channel'), int(channel_prefix.group('index'))\n except AttributeError as ex:\n raise BackendConfigurationError(f\"Invalid channel name - '{channel}' found.\") from ex\n", "path": "qiskit/providers/models/backendconfiguration.py" } ]
diff --git a/.travis.yml b/.travis.yml index 306d9629167c..911337232413 100644 --- a/.travis.yml +++ b/.travis.yml @@ -28,6 +28,7 @@ install: - pip install -U -r requirements-dev.txt coveralls -c constraints.txt - pip install -c constraints.txt -e . - pip install "qiskit-ibmq-provider" -c constraints.txt + - pip install "qiskit-aer" script: # Compile the executables and run the tests. - python setup.py build_ext --inplace @@ -63,7 +64,6 @@ jobs: script: - pip install -U pip - python setup.py build_ext --inplace - - pip install "qiskit-aer" - make test_randomized - name: Build aarch64 wheels diff --git a/qiskit/providers/models/backendconfiguration.py b/qiskit/providers/models/backendconfiguration.py index 0fc2cd3d8e98..e62c1584d587 100644 --- a/qiskit/providers/models/backendconfiguration.py +++ b/qiskit/providers/models/backendconfiguration.py @@ -678,6 +678,9 @@ def to_dict(self): } out_dict['hamiltonian'] = hamiltonian + if hasattr(self, 'channels'): + out_dict['channels'] = self.channels + return out_dict def __eq__(self, other): diff --git a/qiskit/test/mock/backends/armonk/conf_armonk.json b/qiskit/test/mock/backends/armonk/conf_armonk.json index daf456da1225..2221a8bc53e5 100644 --- a/qiskit/test/mock/backends/armonk/conf_armonk.json +++ b/qiskit/test/mock/backends/armonk/conf_armonk.json @@ -1 +1 @@ -{"backend_name": "ibmq_armonk", "backend_version": "1.1.3", "n_qubits": 1, "basis_gates": ["id", "u1", "u2", "u3"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": null, "dynamic_reprate_enabled": false, "supported_instructions": ["setf", "measure", "x", "cx", "id", "u2", "shiftf", "acquire", "u1", "delay", "u3", "play"], "max_experiments": 75, "sample_name": "SPARROW", "n_registers": 1, "credits_required": true, "online_date": "2019-10-16T04:00:00+00:00", "description": "1 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": null, "qubit_channel_mapping": [["m0", "d0"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 0, "u_channel_lo": [], "meas_levels": [1, 2], "qubit_lo_range": [[4.474446855948306, 5.474446855948306]], "meas_lo_range": [[6.493427855, 7.493427855]], "meas_kernels": ["hw_boxcar"], "discriminators": ["linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{0}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ \\end{align}", "h_str": ["_SUM[i,0,0,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,0,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,0,-delta{i}/2*O{i}]", "_SUM[i,0,0,omegad{i}*X{i}||D{i}]"], "osc": {}, "qub": {"0": 3}, "vars": {"delta0": -2.189518576306432, "omegad0": 0.0721186503632053, "wq0": 31.25537139664009}}} \ No newline at end of file +{"backend_name": "ibmq_armonk", "backend_version": "2.4.3", "n_qubits": 1, "basis_gates": ["id", "rz", "sx", "x"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": null, "dynamic_reprate_enabled": false, "supported_instructions": ["u1", "play", "shiftf", "measure", "u2", "delay", "sx", "x", "setf", "acquire", "rz", "u3", "id"], "max_experiments": 75, "sample_name": "family: Canary, revision: 1.2", "n_registers": 1, "credits_required": true, "online_date": "2019-10-16T04:00:00+00:00", "description": "1 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Canary", "revision": 1.2}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 1, "qubit_channel_mapping": [["d0", "m0"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 0, "u_channel_lo": [], "meas_levels": [1, 2], "qubit_lo_range": [[4.471852852405576, 5.4718528524055765]], "meas_lo_range": [[6.493370669000001, 7.493370669000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{0}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ \\end{align}", "h_str": ["_SUM[i,0,0,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,0,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,0,-delta{i}/2*O{i}]", "_SUM[i,0,0,omegad{i}*X{i}||D{i}]"], "osc": {}, "qub": {"0": 3}, "vars": {"delta0": -2.1814775258495027, "omegad0": 0.11622062289875916, "wq0": 31.239072791693637}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/armonk/defs_armonk.json b/qiskit/test/mock/backends/armonk/defs_armonk.json index d0498af43e82..a26211f557c5 100644 --- a/qiskit/test/mock/backends/armonk/defs_armonk.json +++ b/qiskit/test/mock/backends/armonk/defs_armonk.json @@ -1 +1 @@ -{"qubit_freq_est": [4.974446855948306], "meas_freq_est": [6.993427855], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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[[{"date": "2020-12-12T06:29:08+09:00", "name": "T1", "unit": "us", "value": 184.73939094432617}, {"date": "2020-12-12T06:30:26+09:00", "name": "T2", "unit": "us", "value": 195.43514807207902}, {"date": "2020-12-12T06:42:53+09:00", "name": "frequency", "unit": "GHz", "value": 4.974446855948306}, {"date": "2020-12-12T06:42:53+09:00", "name": "anharmonicity", "unit": "GHz", "value": -0.34847270441069783}, {"date": "2020-12-12T06:27:24+09:00", "name": "readout_error", "unit": "", "value": 0.061900000000000066}, {"date": "2020-12-12T06:27:24+09:00", "name": "prob_meas0_prep1", "unit": "", "value": 0.0754}, {"date": "2020-12-12T06:27:24+09:00", "name": "prob_meas1_prep0", "unit": "", "value": 0.0484}, {"date": "2020-12-12T06:27:24+09:00", "name": "readout_length", "unit": "ns", "value": 3555.555555555555}]], "gates": [{"qubits": [0], "gate": "id", "parameters": [{"date": "2020-12-12T06:32:42+09:00", "name": "gate_error", "unit": "", "value": 0.00045960839962101854}, {"date": 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file diff --git a/qiskit/test/mock/backends/athens/conf_athens.json b/qiskit/test/mock/backends/athens/conf_athens.json index 302353adc854..16408d5cc858 100644 --- a/qiskit/test/mock/backends/athens/conf_athens.json +++ b/qiskit/test/mock/backends/athens/conf_athens.json @@ -1 +1 @@ -{"backend_name": "ibmq_athens", "backend_version": "1.3.3", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["reset", "setf", "id", "play", "measure", "u2", "u3", "x", "delay", "shiftf", "u1", "cx", "acquire"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "Snake", "n_registers": 1, "credits_required": true, "online_date": "2020-03-13T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "u1", "d0", "u0"], ["d1", "u2", "u3", "m1", "u1", "u0"], ["u5", "u4", "u2", "u3", "m2", "d2"], ["d3", "u5", "m3", "u6", "u4", "u7"], ["u6", "m4", "d4", "u7"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.675361071292878, 5.675361071292878], [4.767163867299557, 5.767163867299557], [4.552377039046026, 5.552377039046026], [4.3559275801081805, 5.3559275801081805], [4.618522042758892, 5.618522042758892]], "meas_lo_range": [[6.714107437, 7.714107437000001], [6.860372122, 7.860372122], [6.798419517, 7.798419517], [6.663115298, 7.663115298], [6.911673028, 7.911673028]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_qmfk", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.111793476400394, "delta1": -2.0894421352015744, "delta2": -2.1179183671068604, "delta3": -2.0410045431261215, "delta4": -2.1119885565086776, "jq0q1": 0.010495754104003914, "jq1q2": 0.010781715511200012, "jq2q3": 0.008920779377814226, "jq3q4": 0.008985191651087791, "omegad0": 0.9659500159312236, "omegad1": 0.9755572566828072, "omegad2": 1.0168426372965216, "omegad3": 0.9696132241490868, "omegad4": 0.9769961347272788, "wq0": 32.51775264249661, "wq1": 33.09456662152379, "wq2": 31.745021178065493, "wq3": 30.510692824063845, "wq4": 32.16062249353752}}} \ No newline at end of file +{"backend_name": "ibmq_athens", "backend_version": "1.3.13", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["cx", "x", "setf", "id", "u3", "measure", "u2", "delay", "rz", "acquire", "play", "u1", "reset", "shiftf", "sx"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: L", "n_registers": 1, "credits_required": true, "online_date": "2020-03-13T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "L"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "u1", "d0", "u0"], ["u3", "u2", "d1", "u1", "u0", "m1"], ["u5", "u3", "u2", "m2", "u4", "d2"], ["u5", "m3", "u6", "u4", "d3", "u7"], ["m4", "u7", "d4", "u6"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.6753836395136075, 5.6753836395136075], [4.767216864382969, 5.767216864382969], [4.5524024697946635, 5.5524024697946635], [4.355916030466884, 5.355916030466884], [4.618554567140891, 5.618554567140891]], "meas_lo_range": [[6.714107437, 7.714107437000001], [6.860372122, 7.860372122], [6.798419517, 7.798419517], [6.663115298, 7.663115298], [6.911673028, 7.911673028]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "hw_qmfk", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.111793476400394, "delta1": -2.0894421352015744, "delta2": -2.1179183671068604, "delta3": -2.0410045431261215, "delta4": -2.1119885565086776, "jq0q1": 0.010495754104003914, "jq1q2": 0.010781715511200012, "jq2q3": 0.008920779377814226, "jq3q4": 0.008985191651087791, "omegad0": 0.9715458990879812, "omegad1": 0.9803812537440838, "omegad2": 0.9494756077681784, "omegad3": 0.9763998543087951, "omegad4": 0.9829308019780478, "wq0": 32.517894442809514, "wq1": 33.0948996120196, "wq2": 31.74518096417169, "wq3": 30.51062025552735, "wq4": 32.16082685025662}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/athens/defs_athens.json b/qiskit/test/mock/backends/athens/defs_athens.json index ef55f77e08a6..9a73fe9aa3ec 100644 --- a/qiskit/test/mock/backends/athens/defs_athens.json +++ b/qiskit/test/mock/backends/athens/defs_athens.json @@ -1 +1 @@ -{"qubit_freq_est": [5.175361071292878, 5.267163867299557, 5.052377039046026, 4.8559275801081805, 5.118522042758892], "meas_freq_est": [7.214107437, 7.360372122, 7.298419517, 7.163115298, 7.411673028], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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0.007959389035724018}, {"date": "2021-03-12T14:10:39-05:00", "name": "gate_length", "unit": "ns", "value": 305.77777777777777}], "name": "cx2_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-03-15T00:27:27-04:00", "name": "gate_error", "unit": "", "value": 0.011112942844963669}, {"date": "2021-03-12T14:10:39-05:00", "name": "gate_length", "unit": "ns", "value": 376.88888888888886}], "name": "cx1_0"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:27:27-04:00", "name": "gate_error", "unit": "", "value": 0.011112942844963669}, {"date": "2021-03-12T14:10:39-05:00", "name": "gate_length", "unit": "ns", "value": 412.4444444444444}], "name": "cx0_1"}, {"qubits": [0], "gate": "reset", "parameters": [{"date": "2021-03-15T14:10:39-04:00", "name": "gate_length", "unit": "ns", "value": 3431.111111111111}], "name": "reset0"}, {"qubits": [1], "gate": "reset", "parameters": [{"date": "2021-03-15T14:10:39-04:00", "name": "gate_length", "unit": "ns", "value": 3431.111111111111}], "name": "reset1"}, {"qubits": [2], "gate": "reset", "parameters": [{"date": "2021-03-15T14:10:39-04:00", "name": "gate_length", "unit": "ns", "value": 3431.111111111111}], "name": "reset2"}, {"qubits": [3], "gate": "reset", "parameters": [{"date": "2021-03-15T14:10:39-04:00", "name": "gate_length", "unit": "ns", "value": 3431.111111111111}], "name": "reset3"}, {"qubits": [4], "gate": "reset", "parameters": [{"date": "2021-03-15T14:10:39-04:00", "name": "gate_length", "unit": "ns", "value": 3431.111111111111}], "name": "reset4"}], "general": [{"date": "2021-03-15T14:10:39-04:00", "name": "jq_12", "unit": "GHz", "value": 0.001715963318618043}, {"date": "2021-03-15T14:10:39-04:00", "name": "zz_12", "unit": "GHz", "value": -6.739337717569015e-05}, {"date": "2021-03-15T14:10:39-04:00", "name": "jq_34", "unit": "GHz", "value": 0.0014300376658986506}, {"date": "2021-03-15T14:10:39-04:00", "name": "zz_34", "unit": "GHz", "value": -7.676209360402695e-05}, {"date": "2021-03-15T14:10:39-04:00", "name": "jq_01", "unit": "GHz", "value": 0.00167045114712927}, {"date": "2021-03-15T14:10:39-04:00", "name": "zz_01", "unit": "GHz", "value": -3.802523473566748e-05}, {"date": "2021-03-15T14:10:39-04:00", "name": "jq_23", "unit": "GHz", "value": 0.001419786134211377}, {"date": "2021-03-15T14:10:39-04:00", "name": "zz_23", "unit": "GHz", "value": -4.029010458592919e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/belem/conf_belem.json b/qiskit/test/mock/backends/belem/conf_belem.json index b0a4e421860f..33e68f07fd77 100644 --- a/qiskit/test/mock/backends/belem/conf_belem.json +++ b/qiskit/test/mock/backends/belem/conf_belem.json @@ -1 +1 @@ -{"backend_name": "ibmq_belem", "backend_version": "1.0.3", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["u1", "id", "sx", "cx", "reset", "shiftf", "x", "delay", "measure", "acquire", "setf", "play", "rz", "u3", "u2"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device Belem", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["d0", "m0", "u0", "u1"], ["u1", "u4", "m1", "u5", "u0", "d1", "u3", "u2"], ["d2", "u4", "m2", "u2"], ["u7", "m3", "u5", "u6", "d3", "u3"], ["u6", "m4", "u7", "d4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.590164561209827, 5.590164561209827], [4.745306534823921, 5.745306534823921], [4.860976132967632, 5.860976132967632], [4.6708361255633655, 5.6708361255633655], [4.758301568866321, 5.758301568866321]], "meas_lo_range": [[6.801661824000001, 7.801661824000001], [6.8934280470000004, 7.8934280470000004], [6.860214726000001, 7.860214726000001], [6.8033823270000005, 7.8033823270000005], [6.926310916, 7.926310916]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "hw_centroid", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.1119231275656283, "delta1": -1.989081364755034, "delta2": -2.0773937776320905, "delta3": -2.096945401946966, "delta4": -2.0819029355928373, "jq0q1": 0.011772262300160973, "jq1q2": 0.012605700949390706, "jq1q3": 0.012591488659137172, "jq3q4": 0.01051661912410011, "omegad0": 0.7889913188239417, "omegad1": 0.7643224850644404, "omegad2": 1.9716934096550984, "omegad3": 0.7619240612902786, "omegad4": 0.6362038803601794, "wq0": 31.98244718211981, "wq1": 32.95723295125873, "wq2": 33.684006470802665, "wq3": 32.48932156997316, "wq4": 33.03888315822024}}} \ No newline at end of file +{"backend_name": "ibmq_belem", "backend_version": "1.0.3", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["sx", "u3", "id", "u1", "delay", "x", "u2", "acquire", "shiftf", "setf", "cx", "play", "measure", "rz", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device Belem", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["d0", "m0", "u0", "u1"], ["u0", "u5", "u1", "u4", "u2", "d1", "m1", "u3"], ["d2", "m2", "u2", "u4"], ["u5", "m3", "u6", "d3", "u7", "u3"], ["m4", "u7", "d4", "u6"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.590167234445012, 5.590167234445013], [4.745306068285918, 5.745306068285918], [4.860982724462909, 5.860982724462909], [4.670821930361107, 5.670821930361107], [4.7582999816725895, 5.7582999816725895]], "meas_lo_range": [[6.801661824000001, 7.801661824000001], [6.8934280470000004, 7.8934280470000004], [6.860214726000001, 7.860214726000001], [6.8033823270000005, 7.8033823270000005], [6.926310916, 7.926310916]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_centroid"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.1119231275656283, "delta1": -1.989081364755034, "delta2": -2.0773937776320905, "delta3": -2.096945401946966, "delta4": -2.0819029355928373, "jq0q1": 0.011772262300160973, "jq1q2": 0.012605700949390706, 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"d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": 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"zz_12", "unit": "GHz", "value": -5.607853601551941e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/boeblingen/conf_boeblingen.json b/qiskit/test/mock/backends/boeblingen/conf_boeblingen.json index 5aa3ad003b48..1fac8fe967d9 100644 --- a/qiskit/test/mock/backends/boeblingen/conf_boeblingen.json +++ b/qiskit/test/mock/backends/boeblingen/conf_boeblingen.json @@ -1 +1 @@ -{"backend_name": "ibmq_boeblingen", "backend_version": "1.2.4", "n_qubits": 20, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 6], [2, 1], [2, 3], [3, 2], [3, 4], [3, 8], [4, 3], [5, 6], [5, 10], [6, 1], [6, 5], [6, 7], [7, 6], [7, 8], [7, 12], [8, 3], [8, 7], [8, 9], [9, 8], [9, 14], [10, 5], [10, 11], [11, 10], [11, 12], [11, 16], [12, 7], [12, 11], [12, 13], [13, 12], [13, 14], [13, 18], [14, 9], [14, 13], [15, 16], [16, 11], [16, 15], [16, 17], [17, 16], [17, 18], [18, 13], [18, 17], [18, 19], [19, 18]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 6], [2, 1], [2, 3], [3, 2], [3, 4], [3, 8], [4, 3], [5, 6], [5, 10], [6, 1], [6, 5], [6, 7], [7, 6], [7, 8], [7, 12], [8, 3], [8, 7], [8, 9], [9, 8], [9, 14], [10, 5], [10, 11], [11, 10], [11, 12], [11, 16], [12, 7], [12, 11], [12, 13], [13, 12], [13, 14], [13, 18], [14, 9], [14, 13], [15, 16], [16, 11], [16, 15], [16, 17], [17, 16], [17, 18], [18, 13], [18, 17], [18, 19], [19, 18]], "dynamic_reprate_enabled": true, "supported_instructions": ["id", "setf", "acquire", "measure", "u3", "u2", "delay", "cx", "play", "u1", "shiftf", "reset", "x"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "HexV2", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "20 qubit device Boeblingen", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["m0", "u0", "d0", "u1"], ["u4", "d1", "u3", "u2", "u12", "m1", "u1", "u0"], ["u4", "m2", "d2", "u2", "u6", "u5"], ["u18", "m3", "d3", "u9", "u6", "u7", "u8", "u5"], ["u7", "u9", "m4", "d4"], ["m5", "u23", "u13", "u10", "d5", "u11"], ["d6", "u15", "u3", "u12", "u13", "u10", "m6", "u14"], ["m7", "u17", "u19", "u15", "d7", "u28", "u14", "u16"], ["u18", "m8", "u19", "u20", "d8", "u8", "u21", "u16"], ["m9", "u34", "u22", "u20", "u21", "d9"], ["u25", "u23", "d10", "m10", "u24", "u11"], ["u26", "u25", "u37", "m11", "d11", "u27", "u29", "u24"], ["u26", "u31", "u17", "d12", "u28", "u30", "u29", "m12"], ["d13", "u31", "u33", "m13", "u32", "u42", "u35", "u30"], ["u34", "d14", "u22", "u32", "u35", "m14"], ["u38", "u36", "m15", "d15"], ["u37", "u36", "d16", "u38", "u40", "u39", "u27", "m16"], ["m17", "u41", "u43", "u40", "u39", "d17"], ["u44", "u33", "u41", "u43", "u42", "u45", "d18", "m18"], ["u44", "u45", "d19", "m19"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 46, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.546642618477848, 5.546642618477849], [4.346742907051786, 5.346742907051786], [4.203535995218256, 5.203535995218257], [4.2742617220736125, 5.2742617220736125], [3.866094119726459, 4.8660941197264584], [4.410492049706752, 5.410492049706752], [4.227807679314015, 5.227807679314015], [4.046059014181924, 5.046059014181925], [4.160921533407552, 5.160921533407552], [4.2653742275017175, 5.2653742275017175], [4.455397465985741, 5.455397465985741], [4.02196703552651, 5.021967035526511], [4.236720888159526, 5.236720888159527], [4.135845555826903, 5.135845555826903], [4.055076811523585, 5.055076811523586], [4.0825810785669505, 5.082581078566951], [4.255458789505783, 5.255458789505783], [4.089804055467737, 5.089804055467738], [4.251833210113438, 5.251833210113439], [4.534846545315636, 5.534846545315636]], "meas_lo_range": [[6.794712006, 7.794712006], [6.579713403, 7.579713403], [6.726848078000001, 7.726848078000001], [6.637469923, 7.637469923], [6.690658781000001, 7.690658781000001], [6.5083555, 7.5083555], [6.651377353, 7.651377353000001], [6.540531036, 7.540531036000001], [6.813978215000001, 7.813978215000001], [6.599174120000001, 7.599174120000001], [6.758808909000001, 7.758808909000001], [6.577617339000001, 7.577617339000001], [6.707348522, 7.707348522], [6.6428331300000005, 7.6428331300000005], [6.692647377, 7.692647377], [6.481808180000001, 7.481808180000001], [6.653627322, 7.653627322], [6.535653327, 7.535653327], [6.794454291, 7.794454291], [6.60754991, 7.60754991]], "meas_kernels": ["hw_boxcar"], "discriminators": ["linear_discriminator", "hw_centroid", "quadratic_discriminator"], "rep_times": [500.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{19}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{11,16}(\\sigma_{11}^{+}\\sigma_{16}^{-}+\\sigma_{11}^{-}\\sigma_{16}^{+}) + J_{10,11}(\\sigma_{10}^{+}\\sigma_{11}^{-}+\\sigma_{10}^{-}\\sigma_{11}^{+}) + J_{7,12}(\\sigma_{7}^{+}\\sigma_{12}^{-}+\\sigma_{7}^{-}\\sigma_{12}^{+}) + J_{5,6}(\\sigma_{5}^{+}\\sigma_{6}^{-}+\\sigma_{5}^{-}\\sigma_{6}^{+}) \\\\ & + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{15,16}(\\sigma_{15}^{+}\\sigma_{16}^{-}+\\sigma_{15}^{-}\\sigma_{16}^{+}) + J_{18,19}(\\sigma_{18}^{+}\\sigma_{19}^{-}+\\sigma_{18}^{-}\\sigma_{19}^{+}) + J_{1,6}(\\sigma_{1}^{+}\\sigma_{6}^{-}+\\sigma_{1}^{-}\\sigma_{6}^{+}) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{16,17}(\\sigma_{16}^{+}\\sigma_{17}^{-}+\\sigma_{16}^{-}\\sigma_{17}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{9,14}(\\sigma_{9}^{+}\\sigma_{14}^{-}+\\sigma_{9}^{-}\\sigma_{14}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{11,12}(\\sigma_{11}^{+}\\sigma_{12}^{-}+\\sigma_{11}^{-}\\sigma_{12}^{+}) \\\\ & + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{5,10}(\\sigma_{5}^{+}\\sigma_{10}^{-}+\\sigma_{5}^{-}\\sigma_{10}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) \\\\ & + J_{3,8}(\\sigma_{3}^{+}\\sigma_{8}^{-}+\\sigma_{3}^{-}\\sigma_{8}^{+}) + J_{13,18}(\\sigma_{13}^{+}\\sigma_{18}^{-}+\\sigma_{13}^{-}\\sigma_{18}^{+}) + J_{7,8}(\\sigma_{7}^{+}\\sigma_{8}^{-}+\\sigma_{7}^{-}\\sigma_{8}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,6)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,4)}(t)+U_{6}^{(3,2)}(t)+U_{8}^{(3,8)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{9}^{(4,3)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,10)}(t)+U_{10}^{(5,6)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{14}^{(6,7)}(t)+U_{12}^{(6,1)}(t)+U_{13}^{(6,5)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{15}^{(7,6)}(t)+U_{16}^{(7,8)}(t)+U_{17}^{(7,12)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{19}^{(8,7)}(t)+U_{18}^{(8,3)}(t)+U_{20}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{21}^{(9,8)}(t)+U_{22}^{(9,14)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{24}^{(10,11)}(t)+U_{23}^{(10,5)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{25}^{(11,10)}(t)+U_{26}^{(11,12)}(t)+U_{27}^{(11,16)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{28}^{(12,7)}(t)+U_{30}^{(12,13)}(t)+U_{29}^{(12,11)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{31}^{(13,12)}(t)+U_{32}^{(13,14)}(t)+U_{33}^{(13,18)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{34}^{(14,9)}(t)+U_{35}^{(14,13)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{36}^{(15,16)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{38}^{(16,15)}(t)+U_{39}^{(16,17)}(t)+U_{37}^{(16,11)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{41}^{(17,18)}(t)+U_{40}^{(17,16)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{42}^{(18,13)}(t)+U_{43}^{(18,17)}(t)+U_{44}^{(18,19)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{45}^{(19,18)}(t))\\sigma_{19}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,19,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,19,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,19,-delta{i}/2*O{i}]", "_SUM[i,0,19,omegad{i}*X{i}||D{i}]", "jq11q16*Sp11*Sm16", "jq11q16*Sm11*Sp16", "jq10q11*Sp10*Sm11", "jq10q11*Sm10*Sp11", "jq7q12*Sp7*Sm12", "jq7q12*Sm7*Sp12", "jq5q6*Sp5*Sm6", "jq5q6*Sm5*Sp6", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq15q16*Sp15*Sm16", "jq15q16*Sm15*Sp16", "jq18q19*Sp18*Sm19", "jq18q19*Sm18*Sp19", "jq1q6*Sp1*Sm6", "jq1q6*Sm1*Sp6", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq16q17*Sp16*Sm17", "jq16q17*Sm16*Sp17", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq9q14*Sp9*Sm14", "jq9q14*Sm9*Sp14", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq11q12*Sp11*Sm12", "jq11q12*Sm11*Sp12", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq5q10*Sp5*Sm10", "jq5q10*Sm5*Sp10", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq3q8*Sp3*Sm8", "jq3q8*Sm3*Sp8", "jq13q18*Sp13*Sm18", "jq13q18*Sm13*Sp18", "jq7q8*Sp7*Sm8", "jq7q8*Sm7*Sp8", "omegad1*X0||U0", "omegad0*X1||U1", "omegad6*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad4*X3||U7", "omegad2*X3||U6", "omegad8*X3||U8", "omegad3*X4||U9", "omegad10*X5||U11", "omegad6*X5||U10", "omegad7*X6||U14", "omegad1*X6||U12", "omegad5*X6||U13", "omegad6*X7||U15", "omegad8*X7||U16", "omegad12*X7||U17", "omegad7*X8||U19", "omegad3*X8||U18", "omegad9*X8||U20", "omegad8*X9||U21", "omegad14*X9||U22", "omegad11*X10||U24", "omegad5*X10||U23", "omegad10*X11||U25", "omegad12*X11||U26", "omegad16*X11||U27", "omegad7*X12||U28", "omegad13*X12||U30", "omegad11*X12||U29", "omegad12*X13||U31", "omegad14*X13||U32", "omegad18*X13||U33", "omegad9*X14||U34", "omegad13*X14||U35", "omegad16*X15||U36", "omegad15*X16||U38", "omegad17*X16||U39", "omegad11*X16||U37", "omegad18*X17||U41", "omegad16*X17||U40", "omegad13*X18||U42", "omegad17*X18||U43", "omegad19*X18||U44", "omegad18*X19||U45"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3}, "vars": {"delta0": -1.9120815814441923, "delta1": -1.9055399185480628, "delta10": -1.9115781192244257, "delta11": -1.9464260200753916, "delta12": -1.8922131171612782, "delta13": -1.946978468850499, "delta14": -1.9661987054400865, "delta15": -1.9621820481294971, "delta16": -1.920410282948464, "delta17": -1.9499227858456083, "delta18": -1.9245211497429449, "delta19": -2.1384226515652727, "delta2": -1.9300932337631258, "delta3": -1.9231169841147684, "delta4": -1.9830663203041508, "delta5": -1.9155796531357656, "delta6": -1.9215695175199154, "delta7": -1.9472212767387296, "delta8": -1.9390704918383217, "delta9": -2.0943093444584795, "jq0q1": 0.019903189263342284, "jq10q11": 0.01752513201141761, "jq11q12": 0.01700054776334538, "jq11q16": 0.006904481313363552, "jq12q13": 0.011148033737301017, "jq13q14": 0.010554167813996271, "jq13q18": 0.008363154992996426, "jq15q16": 0.012723868976313222, "jq16q17": 0.011956236091163601, "jq17q18": 0.010868155809158326, "jq18q19": 0.01801870700699937, "jq1q2": 0.019947163911205604, "jq1q6": 0.009052234243208763, "jq2q3": 0.012029788826463179, "jq3q4": 0.01179627158794049, "jq3q8": 0.008643541266214517, "jq5q10": 0.012114045302143833, "jq5q6": 0.015925324108927295, "jq6q7": 0.011756421396655623, "jq7q12": 0.008135156742732387, "jq7q8": 0.00985488532661385, "jq8q9": 0.016845362241161135, "jq9q14": 0.0010288553599676886, "omegad0": 1.1262054212537216, "omegad1": 1.0901010529203998, "omegad10": 0.7980183960322509, "omegad11": 1.1358067210362863, "omegad12": 1.011462962442794, "omegad13": 1.1459322332455357, "omegad14": 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+{"backend_name": "ibmq_boeblingen", "backend_version": "1.2.9", "n_qubits": 20, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0, 0, lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi, lambda) q { U(pi/2, phi, lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta, phi, lambda) q { U(theta, phi, lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 6], [2, 1], [2, 3], [3, 2], [3, 4], [3, 8], [4, 3], [5, 6], [5, 10], [6, 1], [6, 5], [6, 7], [7, 6], [7, 8], [7, 12], [8, 3], [8, 7], [8, 9], [9, 8], [9, 14], [10, 5], [10, 11], [11, 10], [11, 12], [11, 16], [12, 7], [12, 11], [12, 13], [13, 12], [13, 14], [13, 18], [14, 9], [14, 13], [15, 16], [16, 11], [16, 15], [16, 17], [17, 16], [17, 18], [18, 13], [18, 17], [18, 19], [19, 18]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 6], [2, 1], [2, 3], [3, 2], [3, 4], [3, 8], [4, 3], [5, 6], [5, 10], [6, 1], [6, 5], [6, 7], [7, 6], [7, 8], [7, 12], [8, 3], [8, 7], [8, 9], [9, 8], [9, 14], [10, 5], [10, 11], [11, 10], [11, 12], [11, 16], [12, 7], [12, 11], [12, 13], [13, 12], [13, 14], [13, 18], [14, 9], [14, 13], [15, 16], [16, 11], [16, 15], [16, 17], [17, 16], [17, 18], [18, 13], [18, 17], [18, 19], [19, 18]], "dynamic_reprate_enabled": true, "supported_instructions": ["u2", "x", "u3", "u1", "reset", "acquire", "id", "play", "delay", "setf", "cx", "measure", "shiftf"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "HexV2", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "20 qubit device Boeblingen", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["u0", "m0", "d0", "u1"], ["u2", "u12", "u3", "u1", "u0", "m1", "u4", "d1"], ["u2", "u6", "d2", "m2", "u5", "u4"], ["u9", "m3", "u6", "u7", "u8", "u5", "u18", "d3"], ["m4", "d4", "u9", "u7"], ["m5", "u10", "u11", "u23", "d5", "u13"], ["u15", "u12", "u10", "u3", "m6", "u14", "d6", "u13"], ["u15", "d7", "u17", "m7", "u28", "u19", "u14", "u16"], ["u8", "m8", "u20", "u18", "u19", "d8", "u21", "u16"], ["d9", "u34", "u22", "u20", "m9", "u21"], ["d10", "u11", "u24", "m10", "u23", "u25"], ["u37", "u29", "u24", "m11", "u27", "u25", "u26", "d11"], ["d12", "u17", "u31", "u30", "u29", "u28", "m12", "u26"], ["m13", "u35", "u31", "d13", "u30", "u33", "u32", "u42"], ["m14", "u35", "d14", "u32", "u34", "u22"], ["m15", "u38", "u36", "d15"], ["u36", "u38", "u37", "u39", "u40", "u27", "m16", "d16"], ["m17", "u39", "u40", "u41", "d17", "u43"], ["d18", "u33", "u42", "m18", "u45", "u41", "u44", "u43"], ["d19", "u45", "m19", "u44"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 46, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.546637180172682, 5.546637180172683], [4.346754355740163, 5.346754355740163], [4.203528286737779, 5.203528286737779], [4.274255688451355, 5.274255688451355], [3.8660878197588704, 4.866087819758871], [4.410301089304373, 5.410301089304373], [4.227761166981115, 5.227761166981115], [4.046065955005408, 5.046065955005408], [4.160895666525451, 5.160895666525451], [4.265289520404205, 5.265289520404206], [4.455347971719672, 5.455347971719672], [4.0219698392316, 5.0219698392316], [4.236743058644201, 5.236743058644201], [4.135845753972898, 5.135845753972899], [4.0550706568826005, 5.055070656882601], [4.082581197982431, 5.082581197982431], [4.255461934654762, 5.255461934654762], [4.089802596327764, 5.089802596327764], [4.251816920066117, 5.251816920066117], [4.535002664360889, 5.535002664360889]], "meas_lo_range": [[6.794712006, 7.794712006], [6.579713403, 7.579713403], [6.726848078000001, 7.726848078000001], [6.637469923, 7.637469923], [6.690658781000001, 7.690658781000001], [6.5083555, 7.5083555], [6.651377353, 7.651377353000001], [6.540531036, 7.540531036000001], [6.813978215000001, 7.813978215000001], [6.599174120000001, 7.599174120000001], [6.758808909000001, 7.758808909000001], [6.577617339000001, 7.577617339000001], [6.707348522, 7.707348522], [6.6428331300000005, 7.6428331300000005], [6.692647377, 7.692647377], [6.481808180000001, 7.481808180000001], [6.653627322, 7.653627322], [6.535653327, 7.535653327], [6.794454291, 7.794454291], [6.60754991, 7.60754991]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_centroid"], "rep_times": [500.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{19}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{11,16}(\\sigma_{11}^{+}\\sigma_{16}^{-}+\\sigma_{11}^{-}\\sigma_{16}^{+}) + J_{10,11}(\\sigma_{10}^{+}\\sigma_{11}^{-}+\\sigma_{10}^{-}\\sigma_{11}^{+}) + J_{7,12}(\\sigma_{7}^{+}\\sigma_{12}^{-}+\\sigma_{7}^{-}\\sigma_{12}^{+}) + J_{5,6}(\\sigma_{5}^{+}\\sigma_{6}^{-}+\\sigma_{5}^{-}\\sigma_{6}^{+}) \\\\ & + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{15,16}(\\sigma_{15}^{+}\\sigma_{16}^{-}+\\sigma_{15}^{-}\\sigma_{16}^{+}) + J_{18,19}(\\sigma_{18}^{+}\\sigma_{19}^{-}+\\sigma_{18}^{-}\\sigma_{19}^{+}) + J_{1,6}(\\sigma_{1}^{+}\\sigma_{6}^{-}+\\sigma_{1}^{-}\\sigma_{6}^{+}) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{16,17}(\\sigma_{16}^{+}\\sigma_{17}^{-}+\\sigma_{16}^{-}\\sigma_{17}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{9,14}(\\sigma_{9}^{+}\\sigma_{14}^{-}+\\sigma_{9}^{-}\\sigma_{14}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{11,12}(\\sigma_{11}^{+}\\sigma_{12}^{-}+\\sigma_{11}^{-}\\sigma_{12}^{+}) \\\\ & + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{5,10}(\\sigma_{5}^{+}\\sigma_{10}^{-}+\\sigma_{5}^{-}\\sigma_{10}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) \\\\ & + J_{3,8}(\\sigma_{3}^{+}\\sigma_{8}^{-}+\\sigma_{3}^{-}\\sigma_{8}^{+}) + J_{13,18}(\\sigma_{13}^{+}\\sigma_{18}^{-}+\\sigma_{13}^{-}\\sigma_{18}^{+}) + J_{7,8}(\\sigma_{7}^{+}\\sigma_{8}^{-}+\\sigma_{7}^{-}\\sigma_{8}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,6)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,4)}(t)+U_{6}^{(3,2)}(t)+U_{8}^{(3,8)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{9}^{(4,3)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,10)}(t)+U_{10}^{(5,6)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{14}^{(6,7)}(t)+U_{12}^{(6,1)}(t)+U_{13}^{(6,5)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{15}^{(7,6)}(t)+U_{16}^{(7,8)}(t)+U_{17}^{(7,12)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{19}^{(8,7)}(t)+U_{18}^{(8,3)}(t)+U_{20}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{21}^{(9,8)}(t)+U_{22}^{(9,14)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{24}^{(10,11)}(t)+U_{23}^{(10,5)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{25}^{(11,10)}(t)+U_{26}^{(11,12)}(t)+U_{27}^{(11,16)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{28}^{(12,7)}(t)+U_{30}^{(12,13)}(t)+U_{29}^{(12,11)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{31}^{(13,12)}(t)+U_{32}^{(13,14)}(t)+U_{33}^{(13,18)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{34}^{(14,9)}(t)+U_{35}^{(14,13)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{36}^{(15,16)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{38}^{(16,15)}(t)+U_{39}^{(16,17)}(t)+U_{37}^{(16,11)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{41}^{(17,18)}(t)+U_{40}^{(17,16)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{42}^{(18,13)}(t)+U_{43}^{(18,17)}(t)+U_{44}^{(18,19)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{45}^{(19,18)}(t))\\sigma_{19}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,19,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,19,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,19,-delta{i}/2*O{i}]", "_SUM[i,0,19,omegad{i}*X{i}||D{i}]", "jq11q16*Sp11*Sm16", "jq11q16*Sm11*Sp16", "jq10q11*Sp10*Sm11", "jq10q11*Sm10*Sp11", "jq7q12*Sp7*Sm12", "jq7q12*Sm7*Sp12", "jq5q6*Sp5*Sm6", "jq5q6*Sm5*Sp6", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq15q16*Sp15*Sm16", "jq15q16*Sm15*Sp16", "jq18q19*Sp18*Sm19", "jq18q19*Sm18*Sp19", "jq1q6*Sp1*Sm6", "jq1q6*Sm1*Sp6", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq16q17*Sp16*Sm17", "jq16q17*Sm16*Sp17", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq9q14*Sp9*Sm14", "jq9q14*Sm9*Sp14", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq11q12*Sp11*Sm12", "jq11q12*Sm11*Sp12", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq5q10*Sp5*Sm10", "jq5q10*Sm5*Sp10", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq3q8*Sp3*Sm8", "jq3q8*Sm3*Sp8", "jq13q18*Sp13*Sm18", "jq13q18*Sm13*Sp18", "jq7q8*Sp7*Sm8", "jq7q8*Sm7*Sp8", "omegad1*X0||U0", "omegad0*X1||U1", "omegad6*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad4*X3||U7", "omegad2*X3||U6", "omegad8*X3||U8", "omegad3*X4||U9", "omegad10*X5||U11", "omegad6*X5||U10", "omegad7*X6||U14", "omegad1*X6||U12", "omegad5*X6||U13", "omegad6*X7||U15", "omegad8*X7||U16", "omegad12*X7||U17", "omegad7*X8||U19", "omegad3*X8||U18", "omegad9*X8||U20", "omegad8*X9||U21", "omegad14*X9||U22", "omegad11*X10||U24", "omegad5*X10||U23", "omegad10*X11||U25", "omegad12*X11||U26", "omegad16*X11||U27", "omegad7*X12||U28", "omegad13*X12||U30", "omegad11*X12||U29", "omegad12*X13||U31", "omegad14*X13||U32", "omegad18*X13||U33", "omegad9*X14||U34", "omegad13*X14||U35", "omegad16*X15||U36", "omegad15*X16||U38", "omegad17*X16||U39", "omegad11*X16||U37", "omegad18*X17||U41", "omegad16*X17||U40", "omegad13*X18||U42", "omegad17*X18||U43", "omegad19*X18||U44", "omegad18*X19||U45"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3}, "vars": {"delta0": -1.9120815814441923, "delta1": -1.9055399185480628, "delta10": -1.9115781192244257, "delta11": -1.9464260200753916, "delta12": -1.8922131171612782, "delta13": -1.946978468850499, "delta14": -1.9661987054400865, "delta15": -1.9621820481294971, "delta16": -1.920410282948464, "delta17": -1.9499227858456083, "delta18": -1.9245211497429449, "delta19": -2.1384226515652727, "delta2": -1.9300932337631258, "delta3": -1.9231169841147684, "delta4": -1.9830663203041508, "delta5": -1.9155796531357656, "delta6": -1.9215695175199154, "delta7": -1.9472212767387296, "delta8": 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{"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire10": {"operates": {"qubits": [10]}, "purpose": "acquire", "type": "acquire"}, "acquire11": {"operates": {"qubits": [11]}, "purpose": "acquire", "type": "acquire"}, "acquire12": {"operates": {"qubits": [12]}, "purpose": "acquire", "type": "acquire"}, "acquire13": {"operates": {"qubits": [13]}, "purpose": "acquire", "type": "acquire"}, "acquire14": {"operates": {"qubits": [14]}, "purpose": "acquire", "type": "acquire"}, "acquire15": {"operates": {"qubits": [15]}, "purpose": "acquire", "type": "acquire"}, "acquire16": {"operates": {"qubits": [16]}, "purpose": "acquire", "type": "acquire"}, "acquire17": {"operates": {"qubits": [17]}, "purpose": "acquire", "type": "acquire"}, "acquire18": {"operates": {"qubits": [18]}, "purpose": "acquire", "type": "acquire"}, "acquire19": {"operates": {"qubits": [19]}, "purpose": "acquire", 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{"operates": {"qubits": [12]}, "purpose": "drive", "type": "drive"}, "d13": {"operates": {"qubits": [13]}, "purpose": "drive", "type": "drive"}, "d14": {"operates": {"qubits": [14]}, "purpose": "drive", "type": "drive"}, "d15": {"operates": {"qubits": [15]}, "purpose": "drive", "type": "drive"}, "d16": {"operates": {"qubits": [16]}, "purpose": "drive", "type": "drive"}, "d17": {"operates": {"qubits": [17]}, "purpose": "drive", "type": "drive"}, "d18": {"operates": {"qubits": [18]}, "purpose": "drive", "type": "drive"}, "d19": {"operates": {"qubits": [19]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "d5": {"operates": {"qubits": [5]}, "purpose": "drive", "type": "drive"}, "d6": {"operates": {"qubits": [6]}, "purpose": "drive", "type": "drive"}, "d7": {"operates": {"qubits": 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{"operates": {"qubits": [18]}, "purpose": "measure", "type": "measure"}, "m19": {"operates": {"qubits": [19]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "m5": {"operates": {"qubits": [5]}, "purpose": "measure", "type": "measure"}, "m6": {"operates": {"qubits": [6]}, "purpose": "measure", "type": "measure"}, "m7": {"operates": {"qubits": [7]}, "purpose": "measure", "type": "measure"}, "m8": {"operates": {"qubits": [8]}, "purpose": "measure", "type": "measure"}, "m9": {"operates": {"qubits": [9]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u10": {"operates": {"qubits": [5, 6]}, "purpose": "cross-resonance", "type": "control"}, "u11": {"operates": {"qubits": [5, 10]}, "purpose": "cross-resonance", "type": "control"}, "u12": {"operates": {"qubits": [6, 1]}, "purpose": "cross-resonance", "type": "control"}, "u13": {"operates": {"qubits": [6, 5]}, "purpose": "cross-resonance", "type": "control"}, "u14": {"operates": {"qubits": [6, 7]}, "purpose": "cross-resonance", "type": "control"}, "u15": {"operates": {"qubits": [7, 6]}, "purpose": "cross-resonance", "type": "control"}, "u16": {"operates": {"qubits": [7, 8]}, "purpose": "cross-resonance", "type": "control"}, "u17": {"operates": {"qubits": [7, 12]}, "purpose": "cross-resonance", "type": "control"}, "u18": {"operates": {"qubits": [8, 3]}, "purpose": "cross-resonance", "type": "control"}, "u19": {"operates": {"qubits": [8, 7]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u20": {"operates": {"qubits": [8, 9]}, "purpose": "cross-resonance", "type": "control"}, "u21": {"operates": {"qubits": [9, 8]}, "purpose": "cross-resonance", "type": "control"}, "u22": {"operates": {"qubits": [9, 14]}, "purpose": "cross-resonance", "type": "control"}, "u23": {"operates": {"qubits": [10, 5]}, "purpose": "cross-resonance", "type": "control"}, "u24": {"operates": {"qubits": [10, 11]}, "purpose": "cross-resonance", "type": "control"}, "u25": {"operates": {"qubits": [11, 10]}, "purpose": "cross-resonance", "type": "control"}, "u26": {"operates": {"qubits": [11, 12]}, "purpose": "cross-resonance", "type": "control"}, "u27": {"operates": {"qubits": [11, 16]}, "purpose": "cross-resonance", "type": "control"}, "u28": {"operates": {"qubits": [12, 7]}, "purpose": "cross-resonance", "type": "control"}, "u29": {"operates": {"qubits": [12, 11]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 6]}, "purpose": "cross-resonance", "type": "control"}, "u30": {"operates": {"qubits": [12, 13]}, "purpose": "cross-resonance", "type": "control"}, "u31": {"operates": {"qubits": [13, 12]}, "purpose": "cross-resonance", "type": "control"}, "u32": {"operates": {"qubits": [13, 14]}, "purpose": "cross-resonance", "type": "control"}, "u33": {"operates": {"qubits": [13, 18]}, "purpose": "cross-resonance", "type": "control"}, "u34": {"operates": {"qubits": [14, 9]}, "purpose": "cross-resonance", "type": "control"}, "u35": {"operates": {"qubits": [14, 13]}, "purpose": "cross-resonance", "type": "control"}, "u36": {"operates": {"qubits": [15, 16]}, "purpose": "cross-resonance", "type": "control"}, "u37": {"operates": {"qubits": [16, 11]}, "purpose": "cross-resonance", "type": "control"}, "u38": {"operates": {"qubits": [16, 15]}, "purpose": "cross-resonance", "type": "control"}, "u39": {"operates": {"qubits": [16, 17]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u40": {"operates": {"qubits": [17, 16]}, "purpose": "cross-resonance", "type": "control"}, "u41": {"operates": {"qubits": [17, 18]}, "purpose": "cross-resonance", "type": "control"}, "u42": {"operates": {"qubits": [18, 13]}, "purpose": "cross-resonance", "type": "control"}, "u43": {"operates": {"qubits": [18, 17]}, "purpose": "cross-resonance", "type": "control"}, "u44": {"operates": {"qubits": [18, 19]}, "purpose": "cross-resonance", "type": "control"}, "u45": {"operates": {"qubits": [19, 18]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u8": {"operates": {"qubits": [3, 8]}, "purpose": "cross-resonance", "type": "control"}, "u9": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/boeblingen/defs_boeblingen.json b/qiskit/test/mock/backends/boeblingen/defs_boeblingen.json index 9ed3e08e16d5..4231f01c3478 100644 --- a/qiskit/test/mock/backends/boeblingen/defs_boeblingen.json +++ b/qiskit/test/mock/backends/boeblingen/defs_boeblingen.json @@ -1 +1 @@ -{"qubit_freq_est": [5.046642618477849, 4.846742907051786, 4.703535995218257, 4.7742617220736125, 4.3660941197264584, 4.910492049706752, 4.727807679314015, 4.546059014181924, 4.660921533407552, 4.7653742275017175, 4.955397465985741, 4.521967035526511, 4.736720888159527, 4.635845555826903, 4.555076811523586, 4.582581078566951, 4.755458789505783, 4.589804055467737, 4.751833210113439, 5.034846545315636], "meas_freq_est": [7.294712006, 7.079713403, 7.226848078000001, 7.137469923, 7.190658781000001, 7.0083555, 7.151377353000001, 7.040531036000001, 7.313978215000001, 7.099174120000001, 7.258808909000001, 7.077617339000001, 7.207348522, 7.1428331300000005, 7.192647377, 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"GHz", "value": 0.0013756623183368204}, {"date": "2021-02-03T21:40:50-05:00", "name": "zz_38", "unit": "GHz", "value": -2.8810353604548146e-05}, {"date": "2021-02-03T21:40:50-05:00", "name": "jq_1318", "unit": "GHz", "value": 0.0013310374569790462}, {"date": "2021-02-03T21:40:50-05:00", "name": "zz_1318", "unit": "GHz", "value": -2.703841618475295e-05}, {"date": "2021-02-03T21:40:50-05:00", "name": "jq_1516", "unit": "GHz", "value": 0.0020250666428338637}, {"date": "2021-02-03T21:40:50-05:00", "name": "zz_1516", "unit": "GHz", "value": -7.890128545460036e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/bogota/conf_bogota.json b/qiskit/test/mock/backends/bogota/conf_bogota.json index d41dcb9b45f2..7cd895a215a0 100644 --- a/qiskit/test/mock/backends/bogota/conf_bogota.json +++ b/qiskit/test/mock/backends/bogota/conf_bogota.json @@ -1 +1 @@ -{"backend_name": "ibmq_bogota", "backend_version": "1.3.1", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["play", "setf", "cx", "id", "acquire", "u2", "u1", "measure", "u3", "delay", "x", "shiftf", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "Snake", "n_registers": 1, "credits_required": true, "online_date": "2020-06-03T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "d0", "u1", "u0"], ["u2", "u1", "u0", "u3", "m1", "d1"], ["u5", "u2", "u4", "u3", "d2", "m2"], ["u7", "u5", "d3", "u6", "u4", "m3"], ["d4", "u7", "m4", "u6"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.500433265510079, 5.500433265510079], [4.345353848096274, 5.345353848096274], [4.282903964206144, 5.282903964206144], [4.3581044858841045, 5.3581044858841045], [4.478282334653981, 5.478282334653982]], "meas_lo_range": [[6.772076418, 7.772076418], [6.888266274, 7.888266274], [6.834793510000001, 7.834793510000001], [6.703996181000001, 7.703996181000001], [6.949439617, 7.949439617]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_qmfk"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": 0.0, "delta1": 0.0, "delta2": 0.0, "delta3": 0.0, "delta4": 0.0, "jq0q1": 0.008308293226045198, "jq1q2": 0.00742380429123757, "jq2q3": 0.008306892304618858, "jq3q4": 0.008809523135217767, "omegad0": 0.9854010148484968, "omegad1": 1.030047025935953, "omegad2": 0.98631537263663, "omegad3": 0.9855383290649573, "omegad4": 1.0146558005056048, "wq0": 31.41864882338497, "wq1": 30.44425610644458, "wq2": 30.05187191355105, "wq3": 30.524370726450243, "wq4": 31.27947042008959}}} \ No newline at end of file +{"backend_name": "ibmq_bogota", "backend_version": "1.4.10", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["sx", "acquire", "u3", "shiftf", "reset", "id", "rz", "setf", "x", "cx", "u2", "u1", "measure", "play", "delay"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: L", "n_registers": 1, "credits_required": true, "online_date": "2020-06-03T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "L"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["u1", "d0", "m0", "u0"], ["u3", "d1", "u2", "u1", "m1", "u0"], ["u3", "u2", "u5", "u4", "m2", "d2"], ["d3", "m3", "u5", "u7", "u6", "u4"], ["u7", "u6", "m4", "d4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.5004340989542815, 5.5004340989542815], [4.343750482127818, 5.343750482127818], [4.282932840283448, 5.282932840283449], [4.358064136217208, 5.358064136217208], [4.478325144043873, 5.478325144043874]], "meas_lo_range": [[6.772076418, 7.772076418], [6.888266274, 7.888266274], [6.834793510000001, 7.834793510000001], [6.703996181000001, 7.703996181000001], [6.949439617, 7.949439617]], "meas_kernels": ["hw_qmfk"], "discriminators": ["hw_qmfk", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.1167573773588284, "delta1": -2.0464791376261835, "delta2": -2.154331420222022, "delta3": -2.0438202069557505, "delta4": -2.1234804829386533, "jq0q1": 0.008308293226045198, "jq1q2": 0.00742380429123757, "jq2q3": 0.008306892304618858, "jq3q4": 0.008809523135217767, "omegad0": 0.9981248640302739, "omegad1": 1.0555058017624004, "omegad2": 0.9937584605648611, "omegad3": 1.0030336139434828, "omegad4": 1.0284195880983287, "wq0": 31.418654060069333, "wq1": 30.43418186094954, "wq2": 30.05205334729569, "wq3": 30.524117202016054, "wq4": 31.27973939941916}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/bogota/defs_bogota.json b/qiskit/test/mock/backends/bogota/defs_bogota.json index 04064d7d6c1e..f052b383c33b 100644 --- a/qiskit/test/mock/backends/bogota/defs_bogota.json +++ b/qiskit/test/mock/backends/bogota/defs_bogota.json @@ -1 +1 @@ -{"qubit_freq_est": [5.000433265510079, 4.845353848096274, 4.782903964206144, 4.8581044858841045, 4.978282334653982], "meas_freq_est": [7.272076418, 7.388266274, 7.334793510000001, 7.203996181000001, 7.449439617], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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"gate_length", "unit": "ns", "value": 497.77777777777777}], "name": "cx1_2"}, {"qubits": [2, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T01:03:38-04:00", "name": "gate_error", "unit": "", "value": 0.008603759358165514}, {"date": "2021-03-12T14:59:18-05:00", "name": "gate_length", "unit": "ns", "value": 533.3333333333333}], "name": "cx2_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-03-15T00:56:07-04:00", "name": "gate_error", "unit": "", "value": 0.019285518287466497}, {"date": "2021-03-12T14:59:18-05:00", "name": "gate_length", "unit": "ns", "value": 654.2222222222222}], "name": "cx1_0"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:56:07-04:00", "name": "gate_error", "unit": "", "value": 0.019285518287466497}, {"date": "2021-03-12T14:59:18-05:00", "name": "gate_length", "unit": "ns", "value": 689.7777777777777}], "name": "cx0_1"}, {"qubits": [0], "gate": "reset", "parameters": [{"date": "2021-03-15T14:59:18-04:00", "name": "gate_length", "unit": "ns", "value": 5351.11111111111}], "name": "reset0"}, {"qubits": [1], "gate": "reset", "parameters": [{"date": "2021-03-15T14:59:18-04:00", "name": "gate_length", "unit": "ns", "value": 5351.11111111111}], "name": "reset1"}, {"qubits": [2], "gate": "reset", "parameters": [{"date": "2021-03-15T14:59:18-04:00", "name": "gate_length", "unit": "ns", "value": 5351.11111111111}], "name": "reset2"}, {"qubits": [3], "gate": "reset", "parameters": [{"date": "2021-03-15T14:59:18-04:00", "name": "gate_length", "unit": "ns", "value": 5351.11111111111}], "name": "reset3"}, {"qubits": [4], "gate": "reset", "parameters": [{"date": "2021-03-15T14:59:18-04:00", "name": "gate_length", "unit": "ns", "value": 5351.11111111111}], "name": "reset4"}], "general": [{"date": "2021-03-15T14:59:18-04:00", "name": "jq_12", "unit": "GHz", "value": 0.001181535149497284}, {"date": "2021-03-15T14:59:18-04:00", "name": "zz_12", "unit": "GHz", "value": -1.8309054726652453e-05}, {"date": "2021-03-15T14:59:18-04:00", "name": "jq_34", "unit": "GHz", "value": 0.0014020791532523193}, {"date": "2021-03-15T14:59:18-04:00", "name": "zz_34", "unit": "GHz", "value": -2.86089072313346e-05}, {"date": "2021-03-15T14:59:18-04:00", "name": "jq_01", "unit": "GHz", "value": 0.001322305935582003}, {"date": "2021-03-15T14:59:18-04:00", "name": "zz_01", "unit": "GHz", "value": -2.8074922051699135e-05}, {"date": "2021-03-15T14:59:18-04:00", "name": "jq_23", "unit": "GHz", "value": 0.0013220829720121175}, {"date": "2021-03-15T14:59:18-04:00", "name": "zz_23", "unit": "GHz", "value": -2.3125887782810607e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/casablanca/conf_casablanca.json b/qiskit/test/mock/backends/casablanca/conf_casablanca.json index 951b3c58a62a..77ac84deae77 100644 --- a/qiskit/test/mock/backends/casablanca/conf_casablanca.json +++ b/qiskit/test/mock/backends/casablanca/conf_casablanca.json @@ -1 +1 @@ -{"backend_name": "ibmq_casablanca", "backend_version": "1.1.14", "n_qubits": 7, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 5], [4, 5], [5, 3], [5, 4], [5, 6], [6, 5]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 5], [4, 5], [5, 3], [5, 4], [5, 6], [6, 5]], "dynamic_reprate_enabled": true, "supported_instructions": ["setf", "acquire", "u3", "x", "cx", "rz", "id", "delay", "reset", "sx", "u2", "play", "measure", "shiftf", "u1"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: H", "n_registers": 1, "credits_required": true, "online_date": "2020-08-07T04:00:00+00:00", "description": "7 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "H"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["d0", "m0", "u0", "u1"], ["u3", "u4", "u5", "u0", "m1", "u2", "d1", "u1"], ["u4", "m2", "d2", "u2"], ["u3", "u5", "m3", "u6", "d3", "u8"], ["d4", "u7", "m4", "u9"], ["d5", "u8", "u9", "u6", "u7", "u10", "u11", "m5"], ["u11", "u10", "m6", "d6"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 12, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.322057303189646, 5.322057303189646], [4.259743318642341, 5.259743318642342], [4.407295986886265, 5.407295986886266], [4.378969455712878, 5.378969455712878], [4.370908534268881, 5.370908534268882], [4.463969119488275, 5.463969119488275], [4.677100456862344, 5.677100456862344]], "meas_lo_range": [[6.784054663, 7.784054663000001], [6.8854385140000005, 7.8854385140000005], [6.8231800300000005, 7.8231800300000005], [6.730756417, 7.730756417], [6.780310863, 7.780310863], [6.646993373000001, 7.646993373000001], [6.900652534000001, 7.900652534000001]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_qmfk"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{6}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{4,5}(\\sigma_{4}^{+}\\sigma_{5}^{-}+\\sigma_{4}^{-}\\sigma_{5}^{+}) \\\\ & + J_{5,6}(\\sigma_{5}^{+}\\sigma_{6}^{-}+\\sigma_{5}^{-}\\sigma_{6}^{+}) + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,5)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,5)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{8}^{(5,3)}(t)+U_{10}^{(5,6)}(t)+U_{9}^{(5,4)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{11}^{(6,5)}(t))\\sigma_{6}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,6,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,6,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,6,-delta{i}/2*O{i}]", "_SUM[i,0,6,omegad{i}*X{i}||D{i}]", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq4q5*Sp4*Sm5", "jq4q5*Sm4*Sp5", "jq5q6*Sp5*Sm6", "jq5q6*Sm5*Sp6", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad5*X3||U6", "omegad5*X4||U7", "omegad3*X5||U8", "omegad6*X5||U10", "omegad4*X5||U9", "omegad5*X6||U11"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3}, "vars": {"delta0": -2.1356848957375534, "delta1": -2.0510695179330973, "delta2": -2.127640392457325, "delta3": -2.127748155824096, "delta4": -2.129301739398853, "delta5": -2.022190613752458, "delta6": -2.104827921746793, "jq0q1": 0.008155201121047262, "jq1q2": 0.00896030287147453, "jq1q3": 0.008704187306888234, "jq3q5": 0.008755759807187284, "jq4q5": 0.009192358915922278, "jq5q6": 0.010792387809142637, "omegad0": 1.4263750764466658, "omegad1": 1.0316811304761349, "omegad2": 1.399575928716245, "omegad3": 1.5353462521071881, "omegad4": 1.4744694311462978, "omegad5": 1.0693414891514568, "omegad6": 0.9031031148682742, "wq0": 30.297879597779207, "wq1": 29.906349285639763, "wq2": 30.833450042785127, "wq3": 30.655469198313135, "wq4": 30.60482093513389, "wq5": 31.189537836861916, "wq6": 32.528681524350205}}} \ No newline at end of file +{"backend_name": "ibmq_casablanca", "backend_version": "1.1.14", "n_qubits": 7, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 5], [4, 5], [5, 3], [5, 4], [5, 6], [6, 5]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 5], [4, 5], [5, 3], [5, 4], [5, 6], [6, 5]], "dynamic_reprate_enabled": true, "supported_instructions": ["id", "play", "u1", "setf", "u3", "acquire", "u2", "sx", "reset", "cx", "shiftf", "x", "measure", "rz", "delay"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: H", "n_registers": 1, "credits_required": true, "online_date": "2020-08-07T04:00:00+00:00", "description": "7 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "H"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["u1", "u0", "m0", "d0"], ["u5", "u1", "m1", "u3", "d1", "u2", "u4", "u0"], ["u2", "m2", "d2", "u4"], ["u5", "u3", "d3", "u8", "u6", "m3"], ["u7", "u9", "d4", "m4"], ["u7", "d5", "u10", "u8", "u6", "u11", "u9", "m5"], ["d6", "m6", "u10", "u11"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 12, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.322066993543337, 5.322066993543337], [4.259769058699999, 5.259769058699999], [4.407301190678057, 5.407301190678057], [4.378966486259414, 5.378966486259414], [4.370905637705659, 5.370905637705659], [4.463969409958764, 5.463969409958764], [4.67710379481424, 5.67710379481424]], "meas_lo_range": [[6.784054663, 7.784054663000001], [6.8854385140000005, 7.8854385140000005], [6.8231800300000005, 7.8231800300000005], [6.730756417, 7.730756417], [6.780310863, 7.780310863], [6.646993373000001, 7.646993373000001], [6.900652534000001, 7.900652534000001]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "hw_qmfk", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{6}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{4,5}(\\sigma_{4}^{+}\\sigma_{5}^{-}+\\sigma_{4}^{-}\\sigma_{5}^{+}) \\\\ & + J_{5,6}(\\sigma_{5}^{+}\\sigma_{6}^{-}+\\sigma_{5}^{-}\\sigma_{6}^{+}) + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,5)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,5)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{8}^{(5,3)}(t)+U_{10}^{(5,6)}(t)+U_{9}^{(5,4)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{11}^{(6,5)}(t))\\sigma_{6}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,6,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,6,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,6,-delta{i}/2*O{i}]", "_SUM[i,0,6,omegad{i}*X{i}||D{i}]", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq4q5*Sp4*Sm5", "jq4q5*Sm4*Sp5", "jq5q6*Sp5*Sm6", "jq5q6*Sm5*Sp6", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad5*X3||U6", "omegad5*X4||U7", "omegad3*X5||U8", "omegad6*X5||U10", "omegad4*X5||U9", "omegad5*X6||U11"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3}, "vars": {"delta0": -2.1356848957375534, "delta1": -2.0510695179330973, "delta2": -2.127640392457325, "delta3": -2.127748155824096, "delta4": -2.129301739398853, "delta5": -2.022190613752458, "delta6": -2.104827921746793, "jq0q1": 0.008155201121047262, "jq1q2": 0.00896030287147453, "jq1q3": 0.008704187306888234, "jq3q5": 0.008755759807187284, "jq4q5": 0.009192358915922278, "jq5q6": 0.010792387809142637, "omegad0": 1.4280729280451456, "omegad1": 1.0332216856610728, "omegad2": 1.4011304173551218, "omegad3": 1.5380396704279846, "omegad4": 1.4771665783775876, "omegad5": 1.0683254629878913, "omegad6": 0.9052403656605853, "wq0": 30.29794048406714, "wq1": 29.906511015191843, "wq2": 30.833482739173263, "wq3": 30.65545054068676, "wq4": 30.604802735490416, "wq5": 31.189539661941833, "wq6": 32.528702497320516}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "acquire5": {"operates": {"qubits": [5]}, "purpose": "acquire", "type": "acquire"}, "acquire6": {"operates": {"qubits": [6]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "d5": {"operates": {"qubits": [5]}, "purpose": "drive", "type": "drive"}, "d6": {"operates": {"qubits": [6]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "m5": {"operates": {"qubits": [5]}, "purpose": "measure", "type": "measure"}, "m6": {"operates": {"qubits": [6]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u10": {"operates": {"qubits": [5, 6]}, "purpose": "cross-resonance", "type": "control"}, "u11": {"operates": {"qubits": [6, 5]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 5]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 5]}, "purpose": "cross-resonance", "type": "control"}, "u8": {"operates": {"qubits": [5, 3]}, "purpose": "cross-resonance", "type": "control"}, "u9": {"operates": {"qubits": [5, 4]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/casablanca/defs_casablanca.json b/qiskit/test/mock/backends/casablanca/defs_casablanca.json index f1ec34ad61a8..fcd332b57286 100644 --- a/qiskit/test/mock/backends/casablanca/defs_casablanca.json +++ b/qiskit/test/mock/backends/casablanca/defs_casablanca.json @@ -1 +1 @@ -{"qubit_freq_est": [4.822057303189646, 4.759743318642342, 4.907295986886265, 4.878969455712878, 4.870908534268881, 4.963969119488275, 5.177100456862344], "meas_freq_est": [7.284054663, 7.3854385140000005, 7.3231800300000005, 7.230756417, 7.280310863, 7.146993373000001, 7.400652534000001], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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"", "value": 0.0003617976455818333}, {"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x2"}, {"qubits": [3], "gate": "x", "parameters": [{"date": "2021-03-15T00:42:32-04:00", "name": "gate_error", "unit": "", "value": 0.00026103945638187166}, {"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x3"}, {"qubits": [4], "gate": "x", "parameters": [{"date": "2021-03-15T00:42:32-04:00", "name": "gate_error", "unit": "", "value": 0.0005428671873847992}, {"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x4"}, {"qubits": [5], "gate": "x", "parameters": [{"date": "2021-03-15T00:50:37-04:00", "name": "gate_error", "unit": "", "value": 0.00048134790928479267}, {"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x5"}, {"qubits": [6], "gate": "x", "parameters": [{"date": "2021-03-15T00:42:32-04:00", "name": "gate_error", "unit": "", "value": 0.00046303881511079243}, {"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x6"}, {"qubits": [6, 5], "gate": "cx", "parameters": [{"date": "2021-03-15T01:39:25-04:00", "name": "gate_error", "unit": "", "value": 0.00869828792422811}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 305.77777777777777}], "name": "cx6_5"}, {"qubits": [5, 6], "gate": "cx", "parameters": [{"date": "2021-03-15T01:39:25-04:00", "name": "gate_error", "unit": "", "value": 0.00869828792422811}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 341.3333333333333}], "name": "cx5_6"}, {"qubits": [5, 4], "gate": "cx", "parameters": [{"date": "2021-03-15T01:31:55-04:00", "name": "gate_error", "unit": "", "value": 0.013089923228494199}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 362.66666666666663}], "name": "cx5_4"}, {"qubits": [4, 5], "gate": "cx", "parameters": [{"date": "2021-03-15T01:31:55-04:00", "name": "gate_error", "unit": "", "value": 0.013089923228494199}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 398.2222222222222}], "name": "cx4_5"}, {"qubits": [5, 3], "gate": "cx", "parameters": [{"date": "2021-03-15T01:24:32-04:00", "name": "gate_error", "unit": "", "value": 0.012629242628899084}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 398.2222222222222}], "name": "cx5_3"}, {"qubits": [3, 5], "gate": "cx", "parameters": [{"date": "2021-03-15T01:24:32-04:00", "name": "gate_error", "unit": "", "value": 0.012629242628899084}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 433.77777777777777}], "name": "cx3_5"}, {"qubits": [3, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T01:15:34-04:00", "name": "gate_error", "unit": "", "value": 0.007487093077592266}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 320}], "name": "cx3_1"}, {"qubits": [1, 3], "gate": "cx", "parameters": [{"date": "2021-03-15T01:15:34-04:00", "name": "gate_error", "unit": "", "value": 0.007487093077592266}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 355.55555555555554}], "name": "cx1_3"}, {"qubits": [1, 2], "gate": "cx", "parameters": [{"date": "2021-03-15T01:08:10-04:00", "name": "gate_error", "unit": "", "value": 0.016223697408386195}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 398.2222222222222}], "name": "cx1_2"}, {"qubits": [2, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T01:08:10-04:00", "name": "gate_error", "unit": "", "value": 0.016223697408386195}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 433.77777777777777}], "name": "cx2_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-03-15T01:01:03-04:00", "name": "gate_error", "unit": "", "value": 0.018322434738265364}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 462.2222222222222}], "name": "cx1_0"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T01:01:03-04:00", "name": "gate_error", "unit": "", "value": 0.018322434738265364}, {"date": "2021-03-12T14:43:21-05:00", "name": "gate_length", "unit": "ns", "value": 497.77777777777777}], "name": "cx0_1"}, {"qubits": [0], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset0"}, {"qubits": [1], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset1"}, {"qubits": [2], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset2"}, {"qubits": [3], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset3"}, {"qubits": [4], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset4"}, {"qubits": [5], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset5"}, {"qubits": [6], "gate": "reset", "parameters": [{"date": "2021-03-15T14:43:21-04:00", "name": "gate_length", "unit": "ns", "value": 5564.444444444444}], "name": "reset6"}], "general": [{"date": "2021-03-15T14:43:21-04:00", "name": "jq_12", "unit": "GHz", "value": 0.001426076493595675}, {"date": "2021-03-15T14:43:21-04:00", "name": "zz_12", "unit": "GHz", "value": -2.8223082688429394e-05}, {"date": "2021-03-15T14:43:21-04:00", "name": "jq_01", "unit": "GHz", "value": 0.0012979405703232377}, {"date": "2021-03-15T14:43:21-04:00", "name": "zz_01", "unit": "GHz", "value": -2.084364641488006e-05}, {"date": "2021-03-15T14:43:21-04:00", "name": "jq_13", "unit": "GHz", "value": 0.0013853144354889948}, {"date": "2021-03-15T14:43:21-04:00", "name": "zz_13", "unit": "GHz", "value": -2.6075432345766925e-05}, {"date": "2021-03-15T14:43:21-04:00", "name": "jq_45", "unit": "GHz", "value": 0.001463009360143887}, {"date": "2021-03-15T14:43:21-04:00", "name": "zz_45", "unit": "GHz", "value": -2.866378402334603e-05}, {"date": "2021-03-15T14:43:21-04:00", "name": "jq_56", "unit": "GHz", "value": 0.0017176618675897612}, {"date": "2021-03-15T14:43:21-04:00", "name": "zz_56", "unit": "GHz", "value": -5.9712259130886874e-05}, {"date": "2021-03-15T14:43:21-04:00", "name": "jq_35", "unit": "GHz", "value": 0.0013935224538391966}, {"date": "2021-03-15T14:43:21-04:00", "name": "zz_35", "unit": "GHz", "value": -2.5574251425371624e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/lima/conf_lima.json b/qiskit/test/mock/backends/lima/conf_lima.json index 47408e1e7747..a23aa8a4418b 100644 --- a/qiskit/test/mock/backends/lima/conf_lima.json +++ b/qiskit/test/mock/backends/lima/conf_lima.json @@ -1 +1 @@ -{"backend_name": "ibmq_lima", "backend_version": "1.0.5", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["x", "cx", "id", "acquire", "play", "reset", "u1", "sx", "rz", "shiftf", "setf", "u2", "u3", "measure", "delay"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device Lima", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 8, "qubit_channel_mapping": [["m0", "u1", "d0", "u0"], ["m1", "u4", "u5", "d1", "u1", "u0", "u2", "u3"], ["d2", "u2", "u4", "m2"], ["u5", "u6", "u7", "d3", "m3", "u3"], ["u6", "m4", "d4", "u7"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.529681534207264, 5.529681534207264], [4.628317851501057, 5.628317851501057], [4.747495175628144, 5.747495175628144], [4.803336414462346, 5.803336414462346], [4.591790744328939, 5.591790744328939]], "meas_lo_range": [[6.925143125000001, 7.925143125000001], [6.721646720000001, 7.721646720000001], [6.971842939, 7.971842939], [6.865317232000001, 7.865317232000001], [6.919067567000001, 7.919067567000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "hw_centroid", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.109526390232452, "delta1": -2.0002465324219205, "delta2": -2.0960936199138844, "delta3": -2.0812544393432897, "delta4": -2.1015348325639516, "jq0q1": 0.011088625669671271, "jq1q2": 0.011792549393436342, "jq1q3": 0.011913891984976947, "jq3q4": 0.011656329753118028, "omegad0": 1.5275849838566344, "omegad1": 1.2653845504598378, "omegad2": 1.3408997952894834, "omegad3": 1.5092389073341221, "omegad4": 1.4996913351827605, "wq0": 31.602421115523565, "wq1": 32.22217137509822, "wq2": 32.97098458700252, "wq3": 33.32184543838028, "wq4": 31.992664792000603}}} \ No newline at end of file +{"backend_name": "ibmq_lima", "backend_version": "1.0.5", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["measure", "u3", "setf", "x", "delay", "id", "acquire", "sx", "u2", "u1", "cx", "shiftf", "play", "rz", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device Lima", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 8, "qubit_channel_mapping": [["u0", "m0", "d0", "u1"], ["u4", "u3", "u0", "u2", "m1", "u1", "d1", "u5"], ["d2", "u4", "u2", "m2"], ["u3", "u7", "m3", "d3", "u6", "u5"], ["d4", "u6", "m4", "u7"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.52968554992376, 5.52968554992376], [4.628321697435369, 5.628321697435369], [4.74749131011471, 5.74749131011471], [4.803339662601714, 5.803339662601714], [4.591790567452984, 5.591790567452985]], "meas_lo_range": [[6.925143125000001, 7.925143125000001], [6.721646720000001, 7.721646720000001], [6.971842939, 7.971842939], [6.865317232000001, 7.865317232000001], [6.919067567000001, 7.919067567000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_centroid", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.109526390232452, "delta1": -2.0002465324219205, "delta2": -2.0960936199138844, "delta3": -2.0812544393432897, "delta4": -2.1015348325639516, "jq0q1": 0.011088625669671271, "jq1q2": 0.011792549393436342, "jq1q3": 0.011913891984976947, "jq3q4": 0.011656329753118028, "omegad0": 1.5262727915514442, "omegad1": 1.2641690419030664, "omegad2": 1.3397127967877365, "omegad3": 1.509152095855826, "omegad4": 1.497387831726462, "wq0": 31.60244634701445, "wq1": 32.222195539816184, "wq2": 32.9709602992653, "wq3": 33.321865847041835, "wq4": 31.992663680656204}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/lima/defs_lima.json b/qiskit/test/mock/backends/lima/defs_lima.json index d90afef06120..c60081630808 100644 --- a/qiskit/test/mock/backends/lima/defs_lima.json +++ b/qiskit/test/mock/backends/lima/defs_lima.json @@ -1 +1 @@ -{"qubit_freq_est": [5.029681534207264, 5.128317851501057, 5.247495175628144, 5.303336414462346, 5.091790744328939], "meas_freq_est": [7.425143125000001, 7.221646720000001, 7.471842939, 7.365317232000001, 7.419067567000001], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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newline at end of file diff --git a/qiskit/test/mock/backends/lima/props_lima.json b/qiskit/test/mock/backends/lima/props_lima.json index bfb4dafdfe60..6560c5d72f8a 100644 --- a/qiskit/test/mock/backends/lima/props_lima.json +++ b/qiskit/test/mock/backends/lima/props_lima.json @@ -1 +1 @@ -{"backend_name": "ibmq_lima", "backend_version": "1.0.5", "last_update_date": "2021-03-14T00:52:40-05:00", "qubits": [[{"date": "2021-03-13T00:52:14-05:00", "name": "T1", "unit": "us", "value": 130.68892037190346}, {"date": "2021-03-14T00:20:48-05:00", "name": "T2", "unit": "us", "value": 113.05264613822798}, {"date": "2021-03-14T00:52:40-05:00", "name": "frequency", "unit": "GHz", "value": 5.029681534207264}, {"date": "2021-03-14T00:52:40-05:00", "name": "anharmonicity", "unit": "GHz", "value": -0.33574155258829724}, {"date": "2021-03-14T00:18:27-05:00", "name": "readout_error", "unit": "", "value": 0.022299999999999986}, {"date": "2021-03-14T00:18:27-05:00", "name": "prob_meas0_prep1", "unit": "", 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[4.325556192925801, 5.325556192925801], [4.197946709733885, 5.197946709733885], [4.332122291526066, 5.332122291526066]], "meas_lo_range": [[6.931025529, 7.931025529], [6.879874726000001, 7.879874726000001], [6.638627748, 7.638627748], [6.681994455000001, 7.681994455000001], [6.5221852920000005, 7.5221852920000005], [6.460853729, 7.460853729], [6.2927068340000005, 7.2927068340000005], [6.3600016020000005, 7.3600016020000005], [6.517050903, 7.517050903], [6.718009384, 7.718009384], [6.870179514, 7.870179514], [6.458636107, 7.458636107], [6.693552706, 7.693552706], [6.631549006, 7.631549006], [6.928395955, 7.928395955], [6.676242997, 7.676242997], [6.521403595000001, 7.521403595000001], [6.289957714000001, 7.289957714000001], [6.356367905000001, 7.356367905000001], [6.300277277, 7.300277277], [6.467915565, 7.467915565], [6.646531816, 7.646531816], [6.9342497430000005, 7.9342497430000005], [6.880085327000001, 7.880085327000001], [6.868122685, 7.868122685], [6.359533369, 7.359533369], 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[6.287395125000001, 7.287395125000001], [6.350764691, 7.350764691], [6.518512532000001, 7.518512532000001], [6.455724581, 7.455724581], [6.642298407, 7.642298407], [6.867582168, 7.867582168], [6.924685138, 7.924685138]], "meas_kernels": ["hw_boxcar"], "discriminators": ["linear_discriminator", "hw_qmfk", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{64}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{42,43}(\\sigma_{42}^{+}\\sigma_{43}^{-}+\\sigma_{42}^{-}\\sigma_{43}^{+}) + J_{22,23}(\\sigma_{22}^{+}\\sigma_{23}^{-}+\\sigma_{22}^{-}\\sigma_{23}^{+}) + J_{36,37}(\\sigma_{36}^{+}\\sigma_{37}^{-}+\\sigma_{36}^{-}\\sigma_{37}^{+}) + J_{28,29}(\\sigma_{28}^{+}\\sigma_{29}^{-}+\\sigma_{28}^{-}\\sigma_{29}^{+}) \\\\ & + J_{53,60}(\\sigma_{53}^{+}\\sigma_{60}^{-}+\\sigma_{53}^{-}\\sigma_{60}^{+}) + J_{61,62}(\\sigma_{61}^{+}\\sigma_{62}^{-}+\\sigma_{61}^{-}\\sigma_{62}^{+}) + J_{5,6}(\\sigma_{5}^{+}\\sigma_{6}^{-}+\\sigma_{5}^{-}\\sigma_{6}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) \\\\ & + J_{34,35}(\\sigma_{34}^{+}\\sigma_{35}^{-}+\\sigma_{34}^{-}\\sigma_{35}^{+}) + J_{18,19}(\\sigma_{18}^{+}\\sigma_{19}^{-}+\\sigma_{18}^{-}\\sigma_{19}^{+}) + J_{23,26}(\\sigma_{23}^{+}\\sigma_{26}^{-}+\\sigma_{23}^{-}\\sigma_{26}^{+}) + J_{0,10}(\\sigma_{0}^{+}\\sigma_{10}^{-}+\\sigma_{0}^{-}\\sigma_{10}^{+}) \\\\ & + J_{51,54}(\\sigma_{51}^{+}\\sigma_{54}^{-}+\\sigma_{51}^{-}\\sigma_{54}^{+}) + J_{59,60}(\\sigma_{59}^{+}\\sigma_{60}^{-}+\\sigma_{59}^{-}\\sigma_{60}^{+}) + J_{30,31}(\\sigma_{30}^{+}\\sigma_{31}^{-}+\\sigma_{30}^{-}\\sigma_{31}^{+}) + J_{46,47}(\\sigma_{46}^{+}\\sigma_{47}^{-}+\\sigma_{46}^{-}\\sigma_{47}^{+}) \\\\ & + J_{31,32}(\\sigma_{31}^{+}\\sigma_{32}^{-}+\\sigma_{31}^{-}\\sigma_{32}^{+}) + J_{63,64}(\\sigma_{63}^{+}\\sigma_{64}^{-}+\\sigma_{63}^{-}\\sigma_{64}^{+}) + J_{49,50}(\\sigma_{49}^{+}\\sigma_{50}^{-}+\\sigma_{49}^{-}\\sigma_{50}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + J_{16,17}(\\sigma_{16}^{+}\\sigma_{17}^{-}+\\sigma_{16}^{-}\\sigma_{17}^{+}) + J_{32,33}(\\sigma_{32}^{+}\\sigma_{33}^{-}+\\sigma_{32}^{-}\\sigma_{33}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{58,59}(\\sigma_{58}^{+}\\sigma_{59}^{-}+\\sigma_{58}^{-}\\sigma_{59}^{+}) \\\\ & + J_{44,45}(\\sigma_{44}^{+}\\sigma_{45}^{-}+\\sigma_{44}^{-}\\sigma_{45}^{+}) + J_{20,21}(\\sigma_{20}^{+}\\sigma_{21}^{-}+\\sigma_{20}^{-}\\sigma_{21}^{+}) + J_{47,53}(\\sigma_{47}^{+}\\sigma_{53}^{-}+\\sigma_{47}^{-}\\sigma_{53}^{+}) + J_{39,45}(\\sigma_{39}^{+}\\sigma_{45}^{-}+\\sigma_{39}^{-}\\sigma_{45}^{+}) \\\\ & + J_{56,57}(\\sigma_{56}^{+}\\sigma_{57}^{-}+\\sigma_{56}^{-}\\sigma_{57}^{+}) + J_{35,40}(\\sigma_{35}^{+}\\sigma_{40}^{-}+\\sigma_{35}^{-}\\sigma_{40}^{+}) + J_{19,25}(\\sigma_{19}^{+}\\sigma_{25}^{-}+\\sigma_{19}^{-}\\sigma_{25}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) \\\\ & + J_{27,28}(\\sigma_{27}^{+}\\sigma_{28}^{-}+\\sigma_{27}^{-}\\sigma_{28}^{+}) + J_{35,36}(\\sigma_{35}^{+}\\sigma_{36}^{-}+\\sigma_{35}^{-}\\sigma_{36}^{+}) + J_{47,48}(\\sigma_{47}^{+}\\sigma_{48}^{-}+\\sigma_{47}^{-}\\sigma_{48}^{+}) + J_{54,64}(\\sigma_{54}^{+}\\sigma_{64}^{-}+\\sigma_{54}^{-}\\sigma_{64}^{+}) \\\\ & + J_{12,21}(\\sigma_{12}^{+}\\sigma_{21}^{-}+\\sigma_{12}^{-}\\sigma_{21}^{+}) + J_{38,41}(\\sigma_{38}^{+}\\sigma_{41}^{-}+\\sigma_{38}^{-}\\sigma_{41}^{+}) + J_{31,39}(\\sigma_{31}^{+}\\sigma_{39}^{-}+\\sigma_{31}^{-}\\sigma_{39}^{+}) + J_{60,61}(\\sigma_{60}^{+}\\sigma_{61}^{-}+\\sigma_{60}^{-}\\sigma_{61}^{+}) \\\\ & + J_{4,5}(\\sigma_{4}^{+}\\sigma_{5}^{-}+\\sigma_{4}^{-}\\sigma_{5}^{+}) + J_{29,30}(\\sigma_{29}^{+}\\sigma_{30}^{-}+\\sigma_{29}^{-}\\sigma_{30}^{+}) + J_{10,13}(\\sigma_{10}^{+}\\sigma_{13}^{-}+\\sigma_{10}^{-}\\sigma_{13}^{+}) + J_{41,42}(\\sigma_{41}^{+}\\sigma_{42}^{-}+\\sigma_{41}^{-}\\sigma_{42}^{+}) \\\\ & + J_{26,37}(\\sigma_{26}^{+}\\sigma_{37}^{-}+\\sigma_{26}^{-}\\sigma_{37}^{+}) + J_{50,51}(\\sigma_{50}^{+}\\sigma_{51}^{-}+\\sigma_{50}^{-}\\sigma_{51}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{14,15}(\\sigma_{14}^{+}\\sigma_{15}^{-}+\\sigma_{14}^{-}\\sigma_{15}^{+}) \\\\ & + J_{62,63}(\\sigma_{62}^{+}\\sigma_{63}^{-}+\\sigma_{62}^{-}\\sigma_{63}^{+}) + J_{40,49}(\\sigma_{40}^{+}\\sigma_{49}^{-}+\\sigma_{40}^{-}\\sigma_{49}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) + J_{55,56}(\\sigma_{55}^{+}\\sigma_{56}^{-}+\\sigma_{55}^{-}\\sigma_{56}^{+}) \\\\ & + J_{4,11}(\\sigma_{4}^{+}\\sigma_{11}^{-}+\\sigma_{4}^{-}\\sigma_{11}^{+}) + J_{43,44}(\\sigma_{43}^{+}\\sigma_{44}^{-}+\\sigma_{43}^{-}\\sigma_{44}^{+}) + J_{48,49}(\\sigma_{48}^{+}\\sigma_{49}^{-}+\\sigma_{48}^{-}\\sigma_{49}^{+}) + J_{33,34}(\\sigma_{33}^{+}\\sigma_{34}^{-}+\\sigma_{33}^{-}\\sigma_{34}^{+}) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{7,8}(\\sigma_{7}^{+}\\sigma_{8}^{-}+\\sigma_{7}^{-}\\sigma_{8}^{+}) + J_{11,17}(\\sigma_{11}^{+}\\sigma_{17}^{-}+\\sigma_{11}^{-}\\sigma_{17}^{+}) \\\\ & + J_{15,24}(\\sigma_{15}^{+}\\sigma_{24}^{-}+\\sigma_{15}^{-}\\sigma_{24}^{+}) + J_{8,12}(\\sigma_{8}^{+}\\sigma_{12}^{-}+\\sigma_{8}^{-}\\sigma_{12}^{+}) + J_{45,46}(\\sigma_{45}^{+}\\sigma_{46}^{-}+\\sigma_{45}^{-}\\sigma_{46}^{+}) + J_{52,56}(\\sigma_{52}^{+}\\sigma_{56}^{-}+\\sigma_{52}^{-}\\sigma_{56}^{+}) \\\\ & + J_{24,29}(\\sigma_{24}^{+}\\sigma_{29}^{-}+\\sigma_{24}^{-}\\sigma_{29}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{21,22}(\\sigma_{21}^{+}\\sigma_{22}^{-}+\\sigma_{21}^{-}\\sigma_{22}^{+}) + J_{27,38}(\\sigma_{27}^{+}\\sigma_{38}^{-}+\\sigma_{27}^{-}\\sigma_{38}^{+}) \\\\ & + J_{57,58}(\\sigma_{57}^{+}\\sigma_{58}^{-}+\\sigma_{57}^{-}\\sigma_{58}^{+}) + J_{43,52}(\\sigma_{43}^{+}\\sigma_{52}^{-}+\\sigma_{43}^{-}\\sigma_{52}^{+}) + J_{25,33}(\\sigma_{25}^{+}\\sigma_{33}^{-}+\\sigma_{25}^{-}\\sigma_{33}^{+}) + J_{15,16}(\\sigma_{15}^{+}\\sigma_{16}^{-}+\\sigma_{15}^{-}\\sigma_{16}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t)+U_{1}^{(0,10)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{2}^{(1,0)}(t)+U_{3}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,4)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{9}^{(4,5)}(t)+U_{8}^{(4,3)}(t)+U_{10}^{(4,11)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,4)}(t)+U_{12}^{(5,6)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{14}^{(6,7)}(t)+U_{13}^{(6,5)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{15}^{(7,6)}(t)+U_{16}^{(7,8)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{19}^{(8,12)}(t)+U_{18}^{(8,9)}(t)+U_{17}^{(8,7)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{20}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{21}^{(10,0)}(t)+U_{22}^{(10,13)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,4)}(t)+U_{24}^{(11,17)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,21)}(t)+U_{25}^{(12,8)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,10)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{30}^{(14,15)}(t)+U_{29}^{(14,13)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,24)}(t)+U_{31}^{(15,14)}(t)+U_{32}^{(15,16)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,15)}(t)+U_{35}^{(16,17)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{38}^{(17,18)}(t)+U_{37}^{(17,16)}(t)+U_{36}^{(17,11)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{40}^{(18,19)}(t)+U_{39}^{(18,17)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{41}^{(19,18)}(t)+U_{43}^{(19,25)}(t)+U_{42}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{45}^{(20,21)}(t)+U_{44}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{47}^{(21,20)}(t)+U_{46}^{(21,12)}(t)+U_{48}^{(21,22)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{50}^{(22,23)}(t)+U_{49}^{(22,21)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{52}^{(23,26)}(t)+U_{51}^{(23,22)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{53}^{(24,15)}(t)+U_{54}^{(24,29)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{56}^{(25,33)}(t)+U_{55}^{(25,19)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{58}^{(26,37)}(t)+U_{57}^{(26,23)}(t))\\sigma_{26}^{X} + \\Omega_{d,27}(U_{59}^{(27,28)}(t)+U_{60}^{(27,38)}(t))\\sigma_{27}^{X} \\\\ & + \\Omega_{d,28}(U_{62}^{(28,29)}(t)+U_{61}^{(28,27)}(t))\\sigma_{28}^{X} + \\Omega_{d,29}(U_{63}^{(29,24)}(t)+U_{65}^{(29,30)}(t)+U_{64}^{(29,28)}(t))\\sigma_{29}^{X} \\\\ & + \\Omega_{d,30}(U_{67}^{(30,31)}(t)+U_{66}^{(30,29)}(t))\\sigma_{30}^{X} + \\Omega_{d,31}(U_{70}^{(31,39)}(t)+U_{68}^{(31,30)}(t)+U_{69}^{(31,32)}(t))\\sigma_{31}^{X} \\\\ & + \\Omega_{d,32}(U_{72}^{(32,33)}(t)+U_{71}^{(32,31)}(t))\\sigma_{32}^{X} + \\Omega_{d,33}(U_{74}^{(33,32)}(t)+U_{75}^{(33,34)}(t)+U_{73}^{(33,25)}(t))\\sigma_{33}^{X} \\\\ & + \\Omega_{d,34}(U_{76}^{(34,33)}(t)+U_{77}^{(34,35)}(t))\\sigma_{34}^{X} + \\Omega_{d,35}(U_{79}^{(35,36)}(t)+U_{78}^{(35,34)}(t)+U_{80}^{(35,40)}(t))\\sigma_{35}^{X} \\\\ & + \\Omega_{d,36}(U_{82}^{(36,37)}(t)+U_{81}^{(36,35)}(t))\\sigma_{36}^{X} + \\Omega_{d,37}(U_{83}^{(37,26)}(t)+U_{84}^{(37,36)}(t))\\sigma_{37}^{X} \\\\ & + \\Omega_{d,38}(U_{86}^{(38,41)}(t)+U_{85}^{(38,27)}(t))\\sigma_{38}^{X} + \\Omega_{d,39}(U_{88}^{(39,45)}(t)+U_{87}^{(39,31)}(t))\\sigma_{39}^{X} \\\\ & + \\Omega_{d,40}(U_{89}^{(40,35)}(t)+U_{90}^{(40,49)}(t))\\sigma_{40}^{X} + \\Omega_{d,41}(U_{92}^{(41,42)}(t)+U_{91}^{(41,38)}(t))\\sigma_{41}^{X} \\\\ & + \\Omega_{d,42}(U_{94}^{(42,43)}(t)+U_{93}^{(42,41)}(t))\\sigma_{42}^{X} + \\Omega_{d,43}(U_{97}^{(43,52)}(t)+U_{95}^{(43,42)}(t)+U_{96}^{(43,44)}(t))\\sigma_{43}^{X} \\\\ & + \\Omega_{d,44}(U_{98}^{(44,43)}(t)+U_{99}^{(44,45)}(t))\\sigma_{44}^{X} + \\Omega_{d,45}(U_{101}^{(45,44)}(t)+U_{100}^{(45,39)}(t)+U_{102}^{(45,46)}(t))\\sigma_{45}^{X} \\\\ & + \\Omega_{d,46}(U_{103}^{(46,45)}(t)+U_{104}^{(46,47)}(t))\\sigma_{46}^{X} + \\Omega_{d,47}(U_{106}^{(47,48)}(t)+U_{105}^{(47,46)}(t)+U_{107}^{(47,53)}(t))\\sigma_{47}^{X} \\\\ & + \\Omega_{d,48}(U_{109}^{(48,49)}(t)+U_{108}^{(48,47)}(t))\\sigma_{48}^{X} + \\Omega_{d,49}(U_{111}^{(49,48)}(t)+U_{110}^{(49,40)}(t)+U_{112}^{(49,50)}(t))\\sigma_{49}^{X} \\\\ & + \\Omega_{d,50}(U_{114}^{(50,51)}(t)+U_{113}^{(50,49)}(t))\\sigma_{50}^{X} + \\Omega_{d,51}(U_{115}^{(51,50)}(t)+U_{116}^{(51,54)}(t))\\sigma_{51}^{X} \\\\ & + \\Omega_{d,52}(U_{118}^{(52,56)}(t)+U_{117}^{(52,43)}(t))\\sigma_{52}^{X} + \\Omega_{d,53}(U_{119}^{(53,47)}(t)+U_{120}^{(53,60)}(t))\\sigma_{53}^{X} \\\\ & + \\Omega_{d,54}(U_{122}^{(54,64)}(t)+U_{121}^{(54,51)}(t))\\sigma_{54}^{X} + \\Omega_{d,55}(U_{123}^{(55,56)}(t))\\sigma_{55}^{X} \\\\ & + \\Omega_{d,56}(U_{126}^{(56,57)}(t)+U_{124}^{(56,52)}(t)+U_{125}^{(56,55)}(t))\\sigma_{56}^{X} + \\Omega_{d,57}(U_{127}^{(57,56)}(t)+U_{128}^{(57,58)}(t))\\sigma_{57}^{X} \\\\ & + \\Omega_{d,58}(U_{130}^{(58,59)}(t)+U_{129}^{(58,57)}(t))\\sigma_{58}^{X} + \\Omega_{d,59}(U_{131}^{(59,58)}(t)+U_{132}^{(59,60)}(t))\\sigma_{59}^{X} \\\\ & + \\Omega_{d,60}(U_{134}^{(60,59)}(t)+U_{135}^{(60,61)}(t)+U_{133}^{(60,53)}(t))\\sigma_{60}^{X} + \\Omega_{d,61}(U_{137}^{(61,62)}(t)+U_{136}^{(61,60)}(t))\\sigma_{61}^{X} \\\\ & + \\Omega_{d,62}(U_{139}^{(62,63)}(t)+U_{138}^{(62,61)}(t))\\sigma_{62}^{X} + \\Omega_{d,63}(U_{140}^{(63,62)}(t)+U_{141}^{(63,64)}(t))\\sigma_{63}^{X} \\\\ & + \\Omega_{d,64}(U_{143}^{(64,63)}(t)+U_{142}^{(64,54)}(t))\\sigma_{64}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,64,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,64,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,64,-delta{i}/2*O{i}]", "_SUM[i,0,64,omegad{i}*X{i}||D{i}]", "jq42q43*Sp42*Sm43", "jq42q43*Sm42*Sp43", "jq22q23*Sp22*Sm23", "jq22q23*Sm22*Sp23", "jq36q37*Sp36*Sm37", "jq36q37*Sm36*Sp37", "jq28q29*Sp28*Sm29", "jq28q29*Sm28*Sp29", "jq53q60*Sp53*Sm60", "jq53q60*Sm53*Sp60", "jq61q62*Sp61*Sm62", "jq61q62*Sm61*Sp62", "jq5q6*Sp5*Sm6", "jq5q6*Sm5*Sp6", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq34q35*Sp34*Sm35", "jq34q35*Sm34*Sp35", "jq18q19*Sp18*Sm19", "jq18q19*Sm18*Sp19", "jq23q26*Sp23*Sm26", "jq23q26*Sm23*Sp26", "jq0q10*Sp0*Sm10", "jq0q10*Sm0*Sp10", "jq51q54*Sp51*Sm54", "jq51q54*Sm51*Sp54", "jq59q60*Sp59*Sm60", "jq59q60*Sm59*Sp60", "jq30q31*Sp30*Sm31", "jq30q31*Sm30*Sp31", "jq46q47*Sp46*Sm47", "jq46q47*Sm46*Sp47", "jq31q32*Sp31*Sm32", "jq31q32*Sm31*Sp32", "jq63q64*Sp63*Sm64", "jq63q64*Sm63*Sp64", "jq49q50*Sp49*Sm50", "jq49q50*Sm49*Sp50", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq16q17*Sp16*Sm17", "jq16q17*Sm16*Sp17", "jq32q33*Sp32*Sm33", "jq32q33*Sm32*Sp33", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq58q59*Sp58*Sm59", "jq58q59*Sm58*Sp59", "jq44q45*Sp44*Sm45", "jq44q45*Sm44*Sp45", "jq20q21*Sp20*Sm21", "jq20q21*Sm20*Sp21", "jq47q53*Sp47*Sm53", "jq47q53*Sm47*Sp53", "jq39q45*Sp39*Sm45", "jq39q45*Sm39*Sp45", "jq56q57*Sp56*Sm57", "jq56q57*Sm56*Sp57", "jq35q40*Sp35*Sm40", "jq35q40*Sm35*Sp40", "jq19q25*Sp19*Sm25", "jq19q25*Sm19*Sp25", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq27q28*Sp27*Sm28", "jq27q28*Sm27*Sp28", "jq35q36*Sp35*Sm36", "jq35q36*Sm35*Sp36", "jq47q48*Sp47*Sm48", "jq47q48*Sm47*Sp48", "jq54q64*Sp54*Sm64", "jq54q64*Sm54*Sp64", "jq12q21*Sp12*Sm21", "jq12q21*Sm12*Sp21", "jq38q41*Sp38*Sm41", "jq38q41*Sm38*Sp41", "jq31q39*Sp31*Sm39", "jq31q39*Sm31*Sp39", "jq60q61*Sp60*Sm61", "jq60q61*Sm60*Sp61", "jq4q5*Sp4*Sm5", "jq4q5*Sm4*Sp5", "jq29q30*Sp29*Sm30", "jq29q30*Sm29*Sp30", "jq10q13*Sp10*Sm13", "jq10q13*Sm10*Sp13", "jq41q42*Sp41*Sm42", "jq41q42*Sm41*Sp42", "jq26q37*Sp26*Sm37", "jq26q37*Sm26*Sp37", "jq50q51*Sp50*Sm51", "jq50q51*Sm50*Sp51", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq14q15*Sp14*Sm15", "jq14q15*Sm14*Sp15", "jq62q63*Sp62*Sm63", "jq62q63*Sm62*Sp63", "jq40q49*Sp40*Sm49", "jq40q49*Sm40*Sp49", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq55q56*Sp55*Sm56", "jq55q56*Sm55*Sp56", "jq4q11*Sp4*Sm11", "jq4q11*Sm4*Sp11", "jq43q44*Sp43*Sm44", "jq43q44*Sm43*Sp44", "jq48q49*Sp48*Sm49", "jq48q49*Sm48*Sp49", "jq33q34*Sp33*Sm34", "jq33q34*Sm33*Sp34", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq7q8*Sp7*Sm8", "jq7q8*Sm7*Sp8", "jq11q17*Sp11*Sm17", "jq11q17*Sm11*Sp17", "jq15q24*Sp15*Sm24", "jq15q24*Sm15*Sp24", "jq8q12*Sp8*Sm12", "jq8q12*Sm8*Sp12", "jq45q46*Sp45*Sm46", "jq45q46*Sm45*Sp46", "jq52q56*Sp52*Sm56", "jq52q56*Sm52*Sp56", "jq24q29*Sp24*Sm29", "jq24q29*Sm24*Sp29", 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7.638627748], [6.681994455000001, 7.681994455000001], [6.5221852920000005, 7.5221852920000005], [6.460853729, 7.460853729], [6.2927068340000005, 7.2927068340000005], [6.3600016020000005, 7.3600016020000005], [6.517050903, 7.517050903], [6.718009384, 7.718009384], [6.870179514, 7.870179514], [6.458636107, 7.458636107], [6.693552706, 7.693552706], [6.631549006, 7.631549006], [6.928378636000001, 7.928378636000001], [6.676242997, 7.676242997], [6.521403595000001, 7.521403595000001], [6.289957714000001, 7.289957714000001], [6.356367905000001, 7.356367905000001], [6.300277277, 7.300277277], [6.467915565, 7.467915565], [6.646531816, 7.646531816], [6.9342497430000005, 7.9342497430000005], [6.880085327000001, 7.880085327000001], [6.868122685, 7.868122685], [6.359533369, 7.359533369], [6.93217844, 7.93217844], [6.868515655, 7.868515655], [6.927551477000001, 7.927551477000001], [6.629408899, 7.629408899], [6.454263974000001, 7.454263974000001], [6.286364894, 7.286364894], [6.350919721, 7.350919721], [6.296352158, 7.296352158], [6.474964832, 7.474964832], [6.64500178, 7.64500178], [6.52225504, 7.52225504], [6.694787539, 7.694787539000001], [6.930048094, 7.930048094000001], [6.345262845000001, 7.345262845000001], [6.879626475, 7.879626475], [6.628710603, 7.628710603], [6.67428775, 7.67428775], [6.513314066, 7.513314066], [6.286084336, 7.286084336], [6.34421148, 7.34421148], [6.293781267, 7.293781267000001], [6.513382054, 7.513382054], [6.690925480000001, 7.690925480000001], [6.931663423000001, 7.931663423000001], [6.866626485, 7.866626485], [6.639155921, 7.639155921], [6.451296806, 7.451296806], [6.456312318, 7.456312318], [6.680874138, 7.680874138], [6.669836136000001, 7.669836136000001], [6.516555709, 7.516555709], [6.347017688, 7.347017688], [6.287395125000001, 7.287395125000001], [6.350764691, 7.350764691], [6.518512532000001, 7.518512532000001], [6.455724581, 7.455724581], [6.642298407, 7.642298407], [6.867582168, 7.867582168], [6.924685138, 7.924685138]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "hw_qmfk", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{64}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{42,43}(\\sigma_{42}^{+}\\sigma_{43}^{-}+\\sigma_{42}^{-}\\sigma_{43}^{+}) + J_{22,23}(\\sigma_{22}^{+}\\sigma_{23}^{-}+\\sigma_{22}^{-}\\sigma_{23}^{+}) + J_{36,37}(\\sigma_{36}^{+}\\sigma_{37}^{-}+\\sigma_{36}^{-}\\sigma_{37}^{+}) + J_{28,29}(\\sigma_{28}^{+}\\sigma_{29}^{-}+\\sigma_{28}^{-}\\sigma_{29}^{+}) \\\\ & + J_{53,60}(\\sigma_{53}^{+}\\sigma_{60}^{-}+\\sigma_{53}^{-}\\sigma_{60}^{+}) + J_{61,62}(\\sigma_{61}^{+}\\sigma_{62}^{-}+\\sigma_{61}^{-}\\sigma_{62}^{+}) + J_{5,6}(\\sigma_{5}^{+}\\sigma_{6}^{-}+\\sigma_{5}^{-}\\sigma_{6}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) \\\\ & + J_{34,35}(\\sigma_{34}^{+}\\sigma_{35}^{-}+\\sigma_{34}^{-}\\sigma_{35}^{+}) + J_{18,19}(\\sigma_{18}^{+}\\sigma_{19}^{-}+\\sigma_{18}^{-}\\sigma_{19}^{+}) + J_{23,26}(\\sigma_{23}^{+}\\sigma_{26}^{-}+\\sigma_{23}^{-}\\sigma_{26}^{+}) + J_{0,10}(\\sigma_{0}^{+}\\sigma_{10}^{-}+\\sigma_{0}^{-}\\sigma_{10}^{+}) \\\\ & + J_{51,54}(\\sigma_{51}^{+}\\sigma_{54}^{-}+\\sigma_{51}^{-}\\sigma_{54}^{+}) + J_{59,60}(\\sigma_{59}^{+}\\sigma_{60}^{-}+\\sigma_{59}^{-}\\sigma_{60}^{+}) + J_{30,31}(\\sigma_{30}^{+}\\sigma_{31}^{-}+\\sigma_{30}^{-}\\sigma_{31}^{+}) + J_{46,47}(\\sigma_{46}^{+}\\sigma_{47}^{-}+\\sigma_{46}^{-}\\sigma_{47}^{+}) \\\\ & + J_{31,32}(\\sigma_{31}^{+}\\sigma_{32}^{-}+\\sigma_{31}^{-}\\sigma_{32}^{+}) + J_{63,64}(\\sigma_{63}^{+}\\sigma_{64}^{-}+\\sigma_{63}^{-}\\sigma_{64}^{+}) + J_{49,50}(\\sigma_{49}^{+}\\sigma_{50}^{-}+\\sigma_{49}^{-}\\sigma_{50}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + J_{16,17}(\\sigma_{16}^{+}\\sigma_{17}^{-}+\\sigma_{16}^{-}\\sigma_{17}^{+}) + J_{32,33}(\\sigma_{32}^{+}\\sigma_{33}^{-}+\\sigma_{32}^{-}\\sigma_{33}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{58,59}(\\sigma_{58}^{+}\\sigma_{59}^{-}+\\sigma_{58}^{-}\\sigma_{59}^{+}) \\\\ & + J_{44,45}(\\sigma_{44}^{+}\\sigma_{45}^{-}+\\sigma_{44}^{-}\\sigma_{45}^{+}) + J_{20,21}(\\sigma_{20}^{+}\\sigma_{21}^{-}+\\sigma_{20}^{-}\\sigma_{21}^{+}) + J_{47,53}(\\sigma_{47}^{+}\\sigma_{53}^{-}+\\sigma_{47}^{-}\\sigma_{53}^{+}) + J_{39,45}(\\sigma_{39}^{+}\\sigma_{45}^{-}+\\sigma_{39}^{-}\\sigma_{45}^{+}) \\\\ & + J_{56,57}(\\sigma_{56}^{+}\\sigma_{57}^{-}+\\sigma_{56}^{-}\\sigma_{57}^{+}) + J_{35,40}(\\sigma_{35}^{+}\\sigma_{40}^{-}+\\sigma_{35}^{-}\\sigma_{40}^{+}) + J_{19,25}(\\sigma_{19}^{+}\\sigma_{25}^{-}+\\sigma_{19}^{-}\\sigma_{25}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) \\\\ & + J_{27,28}(\\sigma_{27}^{+}\\sigma_{28}^{-}+\\sigma_{27}^{-}\\sigma_{28}^{+}) + J_{35,36}(\\sigma_{35}^{+}\\sigma_{36}^{-}+\\sigma_{35}^{-}\\sigma_{36}^{+}) + J_{47,48}(\\sigma_{47}^{+}\\sigma_{48}^{-}+\\sigma_{47}^{-}\\sigma_{48}^{+}) + J_{54,64}(\\sigma_{54}^{+}\\sigma_{64}^{-}+\\sigma_{54}^{-}\\sigma_{64}^{+}) \\\\ & + J_{12,21}(\\sigma_{12}^{+}\\sigma_{21}^{-}+\\sigma_{12}^{-}\\sigma_{21}^{+}) + J_{38,41}(\\sigma_{38}^{+}\\sigma_{41}^{-}+\\sigma_{38}^{-}\\sigma_{41}^{+}) + J_{31,39}(\\sigma_{31}^{+}\\sigma_{39}^{-}+\\sigma_{31}^{-}\\sigma_{39}^{+}) + J_{60,61}(\\sigma_{60}^{+}\\sigma_{61}^{-}+\\sigma_{60}^{-}\\sigma_{61}^{+}) \\\\ & + J_{4,5}(\\sigma_{4}^{+}\\sigma_{5}^{-}+\\sigma_{4}^{-}\\sigma_{5}^{+}) + J_{29,30}(\\sigma_{29}^{+}\\sigma_{30}^{-}+\\sigma_{29}^{-}\\sigma_{30}^{+}) + J_{10,13}(\\sigma_{10}^{+}\\sigma_{13}^{-}+\\sigma_{10}^{-}\\sigma_{13}^{+}) + J_{41,42}(\\sigma_{41}^{+}\\sigma_{42}^{-}+\\sigma_{41}^{-}\\sigma_{42}^{+}) \\\\ & + J_{26,37}(\\sigma_{26}^{+}\\sigma_{37}^{-}+\\sigma_{26}^{-}\\sigma_{37}^{+}) + J_{50,51}(\\sigma_{50}^{+}\\sigma_{51}^{-}+\\sigma_{50}^{-}\\sigma_{51}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{14,15}(\\sigma_{14}^{+}\\sigma_{15}^{-}+\\sigma_{14}^{-}\\sigma_{15}^{+}) \\\\ & + J_{62,63}(\\sigma_{62}^{+}\\sigma_{63}^{-}+\\sigma_{62}^{-}\\sigma_{63}^{+}) + J_{40,49}(\\sigma_{40}^{+}\\sigma_{49}^{-}+\\sigma_{40}^{-}\\sigma_{49}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) + J_{55,56}(\\sigma_{55}^{+}\\sigma_{56}^{-}+\\sigma_{55}^{-}\\sigma_{56}^{+}) \\\\ & + J_{4,11}(\\sigma_{4}^{+}\\sigma_{11}^{-}+\\sigma_{4}^{-}\\sigma_{11}^{+}) + J_{43,44}(\\sigma_{43}^{+}\\sigma_{44}^{-}+\\sigma_{43}^{-}\\sigma_{44}^{+}) + J_{48,49}(\\sigma_{48}^{+}\\sigma_{49}^{-}+\\sigma_{48}^{-}\\sigma_{49}^{+}) + J_{33,34}(\\sigma_{33}^{+}\\sigma_{34}^{-}+\\sigma_{33}^{-}\\sigma_{34}^{+}) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{7,8}(\\sigma_{7}^{+}\\sigma_{8}^{-}+\\sigma_{7}^{-}\\sigma_{8}^{+}) + J_{11,17}(\\sigma_{11}^{+}\\sigma_{17}^{-}+\\sigma_{11}^{-}\\sigma_{17}^{+}) \\\\ & + J_{15,24}(\\sigma_{15}^{+}\\sigma_{24}^{-}+\\sigma_{15}^{-}\\sigma_{24}^{+}) + J_{8,12}(\\sigma_{8}^{+}\\sigma_{12}^{-}+\\sigma_{8}^{-}\\sigma_{12}^{+}) + J_{45,46}(\\sigma_{45}^{+}\\sigma_{46}^{-}+\\sigma_{45}^{-}\\sigma_{46}^{+}) + J_{52,56}(\\sigma_{52}^{+}\\sigma_{56}^{-}+\\sigma_{52}^{-}\\sigma_{56}^{+}) \\\\ & + J_{24,29}(\\sigma_{24}^{+}\\sigma_{29}^{-}+\\sigma_{24}^{-}\\sigma_{29}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{21,22}(\\sigma_{21}^{+}\\sigma_{22}^{-}+\\sigma_{21}^{-}\\sigma_{22}^{+}) + J_{27,38}(\\sigma_{27}^{+}\\sigma_{38}^{-}+\\sigma_{27}^{-}\\sigma_{38}^{+}) \\\\ & + J_{57,58}(\\sigma_{57}^{+}\\sigma_{58}^{-}+\\sigma_{57}^{-}\\sigma_{58}^{+}) + J_{43,52}(\\sigma_{43}^{+}\\sigma_{52}^{-}+\\sigma_{43}^{-}\\sigma_{52}^{+}) + J_{25,33}(\\sigma_{25}^{+}\\sigma_{33}^{-}+\\sigma_{25}^{-}\\sigma_{33}^{+}) + J_{15,16}(\\sigma_{15}^{+}\\sigma_{16}^{-}+\\sigma_{15}^{-}\\sigma_{16}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t)+U_{1}^{(0,10)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{2}^{(1,0)}(t)+U_{3}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,4)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{9}^{(4,5)}(t)+U_{8}^{(4,3)}(t)+U_{10}^{(4,11)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,4)}(t)+U_{12}^{(5,6)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{14}^{(6,7)}(t)+U_{13}^{(6,5)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{15}^{(7,6)}(t)+U_{16}^{(7,8)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{19}^{(8,12)}(t)+U_{18}^{(8,9)}(t)+U_{17}^{(8,7)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{20}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{21}^{(10,0)}(t)+U_{22}^{(10,13)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,4)}(t)+U_{24}^{(11,17)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,21)}(t)+U_{25}^{(12,8)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,10)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{30}^{(14,15)}(t)+U_{29}^{(14,13)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,24)}(t)+U_{31}^{(15,14)}(t)+U_{32}^{(15,16)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,15)}(t)+U_{35}^{(16,17)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{38}^{(17,18)}(t)+U_{37}^{(17,16)}(t)+U_{36}^{(17,11)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{40}^{(18,19)}(t)+U_{39}^{(18,17)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{41}^{(19,18)}(t)+U_{43}^{(19,25)}(t)+U_{42}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{45}^{(20,21)}(t)+U_{44}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{47}^{(21,20)}(t)+U_{46}^{(21,12)}(t)+U_{48}^{(21,22)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{50}^{(22,23)}(t)+U_{49}^{(22,21)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{52}^{(23,26)}(t)+U_{51}^{(23,22)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{53}^{(24,15)}(t)+U_{54}^{(24,29)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{56}^{(25,33)}(t)+U_{55}^{(25,19)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{58}^{(26,37)}(t)+U_{57}^{(26,23)}(t))\\sigma_{26}^{X} + \\Omega_{d,27}(U_{59}^{(27,28)}(t)+U_{60}^{(27,38)}(t))\\sigma_{27}^{X} \\\\ & + \\Omega_{d,28}(U_{62}^{(28,29)}(t)+U_{61}^{(28,27)}(t))\\sigma_{28}^{X} + \\Omega_{d,29}(U_{63}^{(29,24)}(t)+U_{65}^{(29,30)}(t)+U_{64}^{(29,28)}(t))\\sigma_{29}^{X} \\\\ & + \\Omega_{d,30}(U_{67}^{(30,31)}(t)+U_{66}^{(30,29)}(t))\\sigma_{30}^{X} + \\Omega_{d,31}(U_{70}^{(31,39)}(t)+U_{68}^{(31,30)}(t)+U_{69}^{(31,32)}(t))\\sigma_{31}^{X} \\\\ & + \\Omega_{d,32}(U_{72}^{(32,33)}(t)+U_{71}^{(32,31)}(t))\\sigma_{32}^{X} + \\Omega_{d,33}(U_{74}^{(33,32)}(t)+U_{75}^{(33,34)}(t)+U_{73}^{(33,25)}(t))\\sigma_{33}^{X} \\\\ & + \\Omega_{d,34}(U_{76}^{(34,33)}(t)+U_{77}^{(34,35)}(t))\\sigma_{34}^{X} + \\Omega_{d,35}(U_{79}^{(35,36)}(t)+U_{78}^{(35,34)}(t)+U_{80}^{(35,40)}(t))\\sigma_{35}^{X} \\\\ & + \\Omega_{d,36}(U_{82}^{(36,37)}(t)+U_{81}^{(36,35)}(t))\\sigma_{36}^{X} + \\Omega_{d,37}(U_{83}^{(37,26)}(t)+U_{84}^{(37,36)}(t))\\sigma_{37}^{X} \\\\ & + \\Omega_{d,38}(U_{86}^{(38,41)}(t)+U_{85}^{(38,27)}(t))\\sigma_{38}^{X} + \\Omega_{d,39}(U_{88}^{(39,45)}(t)+U_{87}^{(39,31)}(t))\\sigma_{39}^{X} \\\\ & + \\Omega_{d,40}(U_{89}^{(40,35)}(t)+U_{90}^{(40,49)}(t))\\sigma_{40}^{X} + \\Omega_{d,41}(U_{92}^{(41,42)}(t)+U_{91}^{(41,38)}(t))\\sigma_{41}^{X} \\\\ & + \\Omega_{d,42}(U_{94}^{(42,43)}(t)+U_{93}^{(42,41)}(t))\\sigma_{42}^{X} + \\Omega_{d,43}(U_{97}^{(43,52)}(t)+U_{95}^{(43,42)}(t)+U_{96}^{(43,44)}(t))\\sigma_{43}^{X} \\\\ & + \\Omega_{d,44}(U_{98}^{(44,43)}(t)+U_{99}^{(44,45)}(t))\\sigma_{44}^{X} + \\Omega_{d,45}(U_{101}^{(45,44)}(t)+U_{100}^{(45,39)}(t)+U_{102}^{(45,46)}(t))\\sigma_{45}^{X} \\\\ & + \\Omega_{d,46}(U_{103}^{(46,45)}(t)+U_{104}^{(46,47)}(t))\\sigma_{46}^{X} + \\Omega_{d,47}(U_{106}^{(47,48)}(t)+U_{105}^{(47,46)}(t)+U_{107}^{(47,53)}(t))\\sigma_{47}^{X} \\\\ & + \\Omega_{d,48}(U_{109}^{(48,49)}(t)+U_{108}^{(48,47)}(t))\\sigma_{48}^{X} + \\Omega_{d,49}(U_{111}^{(49,48)}(t)+U_{110}^{(49,40)}(t)+U_{112}^{(49,50)}(t))\\sigma_{49}^{X} \\\\ & + \\Omega_{d,50}(U_{114}^{(50,51)}(t)+U_{113}^{(50,49)}(t))\\sigma_{50}^{X} + \\Omega_{d,51}(U_{115}^{(51,50)}(t)+U_{116}^{(51,54)}(t))\\sigma_{51}^{X} \\\\ & + \\Omega_{d,52}(U_{118}^{(52,56)}(t)+U_{117}^{(52,43)}(t))\\sigma_{52}^{X} + \\Omega_{d,53}(U_{119}^{(53,47)}(t)+U_{120}^{(53,60)}(t))\\sigma_{53}^{X} \\\\ & + \\Omega_{d,54}(U_{122}^{(54,64)}(t)+U_{121}^{(54,51)}(t))\\sigma_{54}^{X} + \\Omega_{d,55}(U_{123}^{(55,56)}(t))\\sigma_{55}^{X} \\\\ & + \\Omega_{d,56}(U_{126}^{(56,57)}(t)+U_{124}^{(56,52)}(t)+U_{125}^{(56,55)}(t))\\sigma_{56}^{X} + \\Omega_{d,57}(U_{127}^{(57,56)}(t)+U_{128}^{(57,58)}(t))\\sigma_{57}^{X} \\\\ & + \\Omega_{d,58}(U_{130}^{(58,59)}(t)+U_{129}^{(58,57)}(t))\\sigma_{58}^{X} + \\Omega_{d,59}(U_{131}^{(59,58)}(t)+U_{132}^{(59,60)}(t))\\sigma_{59}^{X} \\\\ & + \\Omega_{d,60}(U_{134}^{(60,59)}(t)+U_{135}^{(60,61)}(t)+U_{133}^{(60,53)}(t))\\sigma_{60}^{X} + \\Omega_{d,61}(U_{137}^{(61,62)}(t)+U_{136}^{(61,60)}(t))\\sigma_{61}^{X} \\\\ & + \\Omega_{d,62}(U_{139}^{(62,63)}(t)+U_{138}^{(62,61)}(t))\\sigma_{62}^{X} + \\Omega_{d,63}(U_{140}^{(63,62)}(t)+U_{141}^{(63,64)}(t))\\sigma_{63}^{X} \\\\ & + \\Omega_{d,64}(U_{143}^{(64,63)}(t)+U_{142}^{(64,54)}(t))\\sigma_{64}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,64,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,64,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,64,-delta{i}/2*O{i}]", "_SUM[i,0,64,omegad{i}*X{i}||D{i}]", "jq42q43*Sp42*Sm43", "jq42q43*Sm42*Sp43", "jq22q23*Sp22*Sm23", "jq22q23*Sm22*Sp23", "jq36q37*Sp36*Sm37", "jq36q37*Sm36*Sp37", "jq28q29*Sp28*Sm29", "jq28q29*Sm28*Sp29", "jq53q60*Sp53*Sm60", "jq53q60*Sm53*Sp60", "jq61q62*Sp61*Sm62", "jq61q62*Sm61*Sp62", "jq5q6*Sp5*Sm6", "jq5q6*Sm5*Sp6", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq34q35*Sp34*Sm35", "jq34q35*Sm34*Sp35", "jq18q19*Sp18*Sm19", "jq18q19*Sm18*Sp19", "jq23q26*Sp23*Sm26", "jq23q26*Sm23*Sp26", "jq0q10*Sp0*Sm10", "jq0q10*Sm0*Sp10", "jq51q54*Sp51*Sm54", "jq51q54*Sm51*Sp54", "jq59q60*Sp59*Sm60", "jq59q60*Sm59*Sp60", "jq30q31*Sp30*Sm31", "jq30q31*Sm30*Sp31", "jq46q47*Sp46*Sm47", "jq46q47*Sm46*Sp47", "jq31q32*Sp31*Sm32", "jq31q32*Sm31*Sp32", "jq63q64*Sp63*Sm64", "jq63q64*Sm63*Sp64", "jq49q50*Sp49*Sm50", "jq49q50*Sm49*Sp50", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq16q17*Sp16*Sm17", "jq16q17*Sm16*Sp17", "jq32q33*Sp32*Sm33", "jq32q33*Sm32*Sp33", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq58q59*Sp58*Sm59", "jq58q59*Sm58*Sp59", "jq44q45*Sp44*Sm45", "jq44q45*Sm44*Sp45", "jq20q21*Sp20*Sm21", "jq20q21*Sm20*Sp21", "jq47q53*Sp47*Sm53", "jq47q53*Sm47*Sp53", "jq39q45*Sp39*Sm45", "jq39q45*Sm39*Sp45", "jq56q57*Sp56*Sm57", "jq56q57*Sm56*Sp57", "jq35q40*Sp35*Sm40", "jq35q40*Sm35*Sp40", "jq19q25*Sp19*Sm25", "jq19q25*Sm19*Sp25", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq27q28*Sp27*Sm28", "jq27q28*Sm27*Sp28", "jq35q36*Sp35*Sm36", "jq35q36*Sm35*Sp36", "jq47q48*Sp47*Sm48", "jq47q48*Sm47*Sp48", "jq54q64*Sp54*Sm64", "jq54q64*Sm54*Sp64", "jq12q21*Sp12*Sm21", "jq12q21*Sm12*Sp21", "jq38q41*Sp38*Sm41", "jq38q41*Sm38*Sp41", "jq31q39*Sp31*Sm39", "jq31q39*Sm31*Sp39", "jq60q61*Sp60*Sm61", "jq60q61*Sm60*Sp61", "jq4q5*Sp4*Sm5", "jq4q5*Sm4*Sp5", "jq29q30*Sp29*Sm30", "jq29q30*Sm29*Sp30", "jq10q13*Sp10*Sm13", "jq10q13*Sm10*Sp13", "jq41q42*Sp41*Sm42", "jq41q42*Sm41*Sp42", "jq26q37*Sp26*Sm37", "jq26q37*Sm26*Sp37", "jq50q51*Sp50*Sm51", "jq50q51*Sm50*Sp51", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq14q15*Sp14*Sm15", "jq14q15*Sm14*Sp15", "jq62q63*Sp62*Sm63", "jq62q63*Sm62*Sp63", "jq40q49*Sp40*Sm49", "jq40q49*Sm40*Sp49", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq55q56*Sp55*Sm56", "jq55q56*Sm55*Sp56", "jq4q11*Sp4*Sm11", "jq4q11*Sm4*Sp11", "jq43q44*Sp43*Sm44", "jq43q44*Sm43*Sp44", "jq48q49*Sp48*Sm49", "jq48q49*Sm48*Sp49", "jq33q34*Sp33*Sm34", "jq33q34*Sm33*Sp34", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq7q8*Sp7*Sm8", "jq7q8*Sm7*Sp8", "jq11q17*Sp11*Sm17", "jq11q17*Sm11*Sp17", "jq15q24*Sp15*Sm24", "jq15q24*Sm15*Sp24", "jq8q12*Sp8*Sm12", "jq8q12*Sm8*Sp12", "jq45q46*Sp45*Sm46", "jq45q46*Sm45*Sp46", "jq52q56*Sp52*Sm56", "jq52q56*Sm52*Sp56", "jq24q29*Sp24*Sm29", "jq24q29*Sm24*Sp29", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq21q22*Sp21*Sm22", "jq21q22*Sm21*Sp22", "jq27q38*Sp27*Sm38", "jq27q38*Sm27*Sp38", "jq57q58*Sp57*Sm58", "jq57q58*Sm57*Sp58", "jq43q52*Sp43*Sm52", "jq43q52*Sm43*Sp52", "jq25q33*Sp25*Sm33", "jq25q33*Sm25*Sp33", "jq15q16*Sp15*Sm16", "jq15q16*Sm15*Sp16", "omegad1*X0||U0", "omegad10*X0||U1", "omegad0*X1||U2", "omegad2*X1||U3", "omegad1*X2||U4", "omegad3*X2||U5", "omegad4*X3||U7", "omegad2*X3||U6", "omegad5*X4||U9", "omegad3*X4||U8", "omegad11*X4||U10", "omegad4*X5||U11", "omegad6*X5||U12", "omegad7*X6||U14", "omegad5*X6||U13", "omegad6*X7||U15", "omegad8*X7||U16", "omegad12*X8||U19", "omegad9*X8||U18", "omegad7*X8||U17", "omegad8*X9||U20", "omegad0*X10||U21", "omegad13*X10||U22", "omegad4*X11||U23", "omegad17*X11||U24", "omegad21*X12||U26", "omegad8*X12||U25", "omegad10*X13||U27", "omegad14*X13||U28", "omegad15*X14||U30", "omegad13*X14||U29", "omegad24*X15||U33", "omegad14*X15||U31", "omegad16*X15||U32", "omegad15*X16||U34", "omegad17*X16||U35", "omegad18*X17||U38", "omegad16*X17||U37", "omegad11*X17||U36", "omegad19*X18||U40", "omegad17*X18||U39", "omegad18*X19||U41", "omegad25*X19||U43", "omegad20*X19||U42", "omegad21*X20||U45", "omegad19*X20||U44", "omegad20*X21||U47", "omegad12*X21||U46", "omegad22*X21||U48", "omegad23*X22||U50", "omegad21*X22||U49", "omegad26*X23||U52", "omegad22*X23||U51", "omegad15*X24||U53", "omegad29*X24||U54", "omegad33*X25||U56", "omegad19*X25||U55", "omegad37*X26||U58", "omegad23*X26||U57", "omegad28*X27||U59", "omegad38*X27||U60", "omegad29*X28||U62", "omegad27*X28||U61", "omegad24*X29||U63", "omegad30*X29||U65", "omegad28*X29||U64", "omegad31*X30||U67", "omegad29*X30||U66", "omegad39*X31||U70", "omegad30*X31||U68", "omegad32*X31||U69", "omegad33*X32||U72", "omegad31*X32||U71", "omegad32*X33||U74", "omegad34*X33||U75", "omegad25*X33||U73", "omegad33*X34||U76", "omegad35*X34||U77", "omegad36*X35||U79", "omegad34*X35||U78", "omegad40*X35||U80", "omegad37*X36||U82", "omegad35*X36||U81", 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"coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [0, 14], [1, 0], [1, 2], [1, 13], [2, 1], [2, 3], [2, 12], [3, 2], [3, 4], [3, 11], [4, 3], [4, 5], [4, 10], [5, 4], [5, 6], [5, 9], [6, 5], [6, 8], [7, 8], [8, 6], [8, 7], [8, 9], [9, 5], [9, 8], [9, 10], [10, 4], [10, 9], [10, 11], [11, 3], 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"revision": 1.1}, "allow_q_object": true, "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]], "multi_meas_enabled": true, "quantum_volume": 8, "url": "None", "allow_object_storage": true} \ No newline at end of file diff --git a/qiskit/test/mock/backends/melbourne/props_melbourne.json b/qiskit/test/mock/backends/melbourne/props_melbourne.json index 835d9cddc8c5..4e36071a5df0 100644 --- a/qiskit/test/mock/backends/melbourne/props_melbourne.json +++ b/qiskit/test/mock/backends/melbourne/props_melbourne.json @@ -1 +1 @@ -{"backend_name": "ibmq_16_melbourne", "backend_version": "2.3.3", "last_update_date": "2020-12-14T17:42:45+09:00", "qubits": [[{"date": "2020-12-13T14:48:27+09:00", "name": "T1", "unit": "us", "value": 65.45740490922395}, {"date": "2020-12-14T14:45:37+09:00", "name": "T2", "unit": "us", "value": 77.3209028895123}, {"date": "2020-12-14T17:42:45+09:00", "name": "frequency", "unit": "GHz", "value": 5.114862646676873}, {"date": "2020-12-14T17:42:45+09:00", 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f778f8874227..248282d091f8 100644 --- a/qiskit/test/mock/backends/montreal/conf_montreal.json +++ b/qiskit/test/mock/backends/montreal/conf_montreal.json @@ -1 +1 @@ -{"backend_name": "ibmq_montreal", "backend_version": "1.5.0", "n_qubits": 27, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]], "dynamic_reprate_enabled": true, "supported_instructions": ["acquire", "delay", "u3", "id", "reset", "setf", "x", "u1", "cx", "measure", "shiftf", "u2", "play"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "FalconR4", "n_registers": 1, "credits_required": true, "online_date": "2020-06-03T04:00:00+00:00", "description": "27 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["d0", "m0", "u0", "u1"], ["d1", "u4", "u3", "u8", "m1", "u0", "u1", "u2"], ["u4", "d2", "u5", "u6", "m2", "u2"], ["u5", "u7", "u10", "u6", "m3", "d3"], ["u9", "m4", "u3", "u13", "d4", "u8"], ["u11", "d5", "u7", "u10", "m5", "u16"], ["d6", "m6", "u12", "u14"], ["u9", "d7", "u15", "u20", "u13", "u12", "u14", "m7"], ["u11", "u18", "u19", "u17", "u16", "u22", "d8", "m8"], ["m9", "d9", "u19", "u17"], ["u20", "u15", "u24", "m10", "d10", "u21"], ["u18", "d11", "u29", "u23", "u22", "m11"], ["u25", "u32", "u24", "u21", "m12", "u27", "u26", "d12"], ["u25", "m13", "u30", "d13", "u28", "u27"], ["u31", "u30", "u34", "u29", "u23", "d14", "u28", "m14"], ["u32", "d15", "u37", "m15", "u33", "u26"], ["u31", "m16", "u34", "u40", "u35", "d16"], ["d17", "u36", "u38", "m17"], ["d18", "u38", "u39", "u36", "u44", "u37", "m18", "u33"], ["m19", "d19", "u42", "u43", "u41", "u40", "u35", "u46"], ["d20", "m20", "u43", "u41"], ["u39", "u48", "u45", "u44", "d21", "m21"], ["d22", "u42", "u52", "m22", "u47", "u46"], ["m23", "u49", "u48", "u45", "u50", "d23"], ["u53", "u49", "u50", "m24", "d24", "u51"], ["u53", "u54", "d25", "u52", "u55", "m25", "u51", "u47"], ["u55", "d26", "m26", "u54"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 56, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.410712783650707, 5.410712783650707], [4.33468153500988, 5.33468153500988], [4.482289955453709, 5.482289955453709], [4.604895222855562, 5.604895222855562], [4.503746418580421, 5.503746418580421], [4.5330907881881615, 5.5330907881881615], [4.451709093314717, 5.451709093314717], [4.40501500841101, 5.40501500841101], [4.408177749888808, 5.408177749888808], [4.544617935800223, 5.544617935800223], [4.581950560614964, 5.581950560614964], [4.534138626237162, 5.534138626237162], [4.472273198085055, 5.472273198085055], [4.36818435892821, 5.368184358928211], [4.461057653057563, 5.461057653057563], [4.533878333561187, 5.533878333561187], [4.585545148716285, 5.585545148716285], [4.572235414202004, 5.572235414202005], [4.480621392769315, 5.480621392769315], [4.483190716181606, 5.483190716181606], [4.582201369571569, 5.58220136957157], [4.571381620313834, 5.571381620313834], [4.55700241272411, 5.55700241272411], [4.472842414552193, 5.4728424145521934], [4.551529527391237, 5.551529527391237], [4.434195181119133, 5.434195181119133], [4.499949996865538, 5.499949996865538]], "meas_lo_range": [[6.771393973, 7.771393973], [6.8857336160000004, 7.8857336160000004], [6.763340178, 7.763340178000001], [6.899158986000001, 7.899158986000001], [6.827607977, 7.827607977], [6.840916165, 7.840916165], [6.943263485, 7.943263485], [6.6921583710000005, 7.6921583710000005], [6.697564896, 7.697564896], [6.944852158000001, 7.944852158000001], [6.770849672000001, 7.770849672000001], [6.838729708000001, 7.838729708000001], [6.934767516000001, 7.934767516000001], [6.830482308000001, 7.830482308000001], [6.887795189, 7.887795189], [6.899318844000001, 7.899318844000001], [6.777288326000001, 7.777288326000001], [6.948326538000001, 7.948326538000001], [6.692928820000001, 7.692928820000001], [6.703609050000001, 7.703609050000001], [6.955696005, 7.955696005], [6.848794852, 7.848794852], [6.836487004, 7.836487004], [6.9138372100000005, 7.9138372100000005], [6.782084223, 7.782084223000001], [6.892533549, 7.892533549], [6.781974443, 7.781974443]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_qmfk", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", 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"scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.410721175793674, 5.410721175793674], [4.334686632799765, 5.334686632799765], [4.482351366935973, 5.482351366935973], [4.60489119915921, 5.60489119915921], [4.503742965294408, 5.503742965294408], [4.533091800969442, 5.533091800969442], [4.450608804128911, 5.450608804128912], [4.4056841207465345, 5.4056841207465345], [4.40818637930849, 5.40818637930849], [4.544611221757046, 5.544611221757046], [4.581932604386775, 5.581932604386775], [4.5341439658219995, 5.5341439658219995], [4.472275341383392, 5.472275341383392], [4.368253685878823, 5.368253685878823], [4.460940637415141, 5.460940637415141], [4.533903744210761, 5.533903744210761], [4.585532467857762, 5.585532467857762], [4.572130667797018, 5.572130667797018], [4.481368853631676, 5.481368853631676], [4.483193250791359, 5.483193250791359], [4.582198527075786, 5.582198527075786], [4.5733414145544415, 5.5733414145544415], [4.556970007957142, 5.556970007957142], [4.4728467157339455, 5.4728467157339455], [4.551505795441573, 5.551505795441573], [4.434188828946117, 5.434188828946117], [4.499942449317529, 5.499942449317529]], "meas_lo_range": [[6.771393973, 7.771393973], [6.8857336160000004, 7.8857336160000004], [6.763340178, 7.763340178000001], [6.899158986000001, 7.899158986000001], [6.827607977, 7.827607977], [6.840916165, 7.840916165], [6.943263485, 7.943263485], [6.6921583710000005, 7.6921583710000005], [6.697564896, 7.697564896], [6.944852158000001, 7.944852158000001], [6.770849672000001, 7.770849672000001], [6.838729708000001, 7.838729708000001], [6.934767516000001, 7.934767516000001], [6.830482308000001, 7.830482308000001], [6.887795189, 7.887795189], [6.899318844000001, 7.899318844000001], [6.777288326000001, 7.777288326000001], [6.948326538000001, 7.948326538000001], [6.692928820000001, 7.692928820000001], [6.703609050000001, 7.703609050000001], [6.955696005, 7.955696005], [6.848794852, 7.848794852], [6.836487004, 7.836487004], [6.9138372100000005, 7.9138372100000005], [6.782084223, 7.782084223000001], [6.892533549, 7.892533549], [6.781974443, 7.781974443]], "meas_kernels": ["hw_qmfk"], "discriminators": ["hw_qmfk", "quadratic_discriminator", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.133861449726836, "delta1": -2.0388838424495406, "delta10": -2.117126173220791, "delta11": -2.120260909131122, "delta12": -2.0230781652100593, "delta13": 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"2021-03-15T15:02:06-04:00", "name": "zz_2225", "unit": "GHz", "value": -2.7236520803142574e-05}, {"date": "2021-03-15T15:02:06-04:00", "name": "jq_1416", "unit": "GHz", "value": 0.0015467629113284304}, {"date": "2021-03-15T15:02:06-04:00", "name": "zz_1416", "unit": "GHz", "value": -3.5240315053975795e-05}, {"date": "2021-03-15T15:02:06-04:00", "name": "jq_1314", "unit": "GHz", "value": 0.0013598912809347084}, {"date": "2021-03-15T15:02:06-04:00", "name": "zz_1314", "unit": "GHz", "value": -2.524182564150123e-05}, {"date": "2021-03-15T15:02:06-04:00", "name": "jq_2425", "unit": "GHz", "value": 0.0015066633990784672}, {"date": "2021-03-15T15:02:06-04:00", "name": "zz_2425", "unit": "GHz", "value": -3.278835866654152e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/mumbai/conf_mumbai.json b/qiskit/test/mock/backends/mumbai/conf_mumbai.json index 4a307d82e209..75667f2491ed 100644 --- a/qiskit/test/mock/backends/mumbai/conf_mumbai.json +++ b/qiskit/test/mock/backends/mumbai/conf_mumbai.json @@ -1 +1 @@ -{"backend_name": "ibmq_mumbai", "backend_version": "1.4.5", "n_qubits": 27, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]], "dynamic_reprate_enabled": true, "supported_instructions": ["delay", "sx", "acquire", "shiftf", "u1", "u2", "setf", "reset", "rz", "u3", "play", "x", "id", "cx", "measure"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 5.1", "n_registers": 1, "credits_required": true, "online_date": "2020-11-13T05:00:00+00:00", "description": "27 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 5.1}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 128, "qubit_channel_mapping": [["u0", "u1", "d0", "m0"], ["u0", "m1", "u4", "u1", "d1", "u2", "u3", "u8"], ["d2", "u6", "u4", "u2", "m2", "u5"], ["u10", "u6", "d3", "m3", "u5", "u7"], ["d4", "u3", "u13", "u9", "u8", "m4"], ["u10", "d5", "u11", "m5", "u16", "u7"], ["m6", "u12", "d6", "u14"], ["m7", "u14", "d7", "u15", "u12", "u13", "u9", "u20"], ["m8", "u19", "u22", "u17", "u18", "u11", "d8", "u16"], ["m9", "u17", "u19", "d9"], ["u21", "u24", "u15", "d10", "m10", "u20"], ["u29", "u22", "u23", "d11", "u18", "m11"], ["u27", "u21", "u24", "m12", "u26", "u25", "u32", "d12"], ["u27", "u28", "u30", "m13", "d13", "u25"], ["u28", "u29", "m14", "u30", "d14", "u34", "u31", "u23"], ["u33", "u26", "d15", "u32", "u37", "m15"], ["u40", "u34", "u31", "m16", "d16", "u35"], ["u38", "m17", "d17", "u36"], ["u44", "u33", "m18", "u39", "u38", "u36", "u37", "d18"], ["m19", "u42", "u43", "u40", "d19", "u41", "u46", "u35"], ["m20", "d20", "u41", "u43"], ["u48", "u45", "u44", "u39", "m21", "d21"], ["u42", "u52", "m22", "u47", "d22", "u46"], ["d23", "m23", "u48", "u45", "u50", "u49"], ["m24", "u50", "u49", "u51", "d24", "u53"], ["u52", "m25", "u54", "u47", "d25", "u55", "u51", "u53"], ["u54", "d26", "m26", "u55"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 56, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.573462814921423, 5.573462814921423], [4.443844681620448, 5.443844681620448], [4.168157502363186, 5.168157502363186], [4.387315883214115, 5.387315883214115], [4.51635507577537, 5.51635507577537], [4.450539585866738, 5.450539585866738], [4.470622491726983, 5.470622491726983], [4.389863864167805, 5.389863864167805], [4.2698526254059646, 5.269852625405965], [4.448868138885028, 5.448868138885028], [4.466294754357908, 5.466294754357909], [4.164636564282378, 5.164636564282378], [4.241461907952718, 5.2414619079527185], [4.379064835799635, 5.379064835799635], [4.274809501962878, 5.274809501962879], [4.360834948367331, 5.360834948367331], [4.478318747333389, 5.478318747333389], [4.500300619491221, 5.500300619491221], [4.272460318985625, 5.272460318985625], [4.3077070359981215, 5.3077070359981215], [4.545028334669125, 5.545028334669125], [4.441029753792486, 5.441029753792486], [4.4068015872462665, 5.4068015872462665], [4.391601685652732, 5.391601685652732], [4.164347869784968, 5.164347869784968], [4.242061753511209, 5.242061753511209], [4.461661099733828, 5.461661099733828]], "meas_lo_range": [[6.693016227, 7.693016227], [6.813594711, 7.813594711], [6.701830155000001, 7.701830155000001], [6.828887965000001, 7.828887965000001], [6.755025035, 7.755025035], [6.770815432, 7.770815432000001], [6.866619445, 7.866619445], [6.635985598, 7.635985598], [6.644148218000001, 7.644148218000001], [6.876331855, 7.876331855], [6.691358465, 7.691358465], [6.770126054, 7.770126054], [6.868992325000001, 7.868992325000001], [6.758159472, 7.758159472000001], [6.820673438, 7.820673438000001], [6.8125132100000005, 7.8125132100000005], [6.692296347, 7.692296347], [6.873312112000001, 7.873312112000001], [6.633928835000001, 7.633928835000001], [6.645506396, 7.645506396], [6.882218574, 7.882218574], [6.7642951600000005, 7.7642951600000005], [6.7669746250000005, 7.7669746250000005], [6.82851313, 7.82851313], [6.693089788, 7.693089788000001], [6.823774907000001, 7.823774907000001], [6.707218387, 7.707218387]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "hw_qmfk", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", 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[6.635985598, 7.635985598], [6.644148218000001, 7.644148218000001], [6.876331855, 7.876331855], [6.691358465, 7.691358465], [6.770126054, 7.770126054], [6.868992325000001, 7.868992325000001], [6.758159472, 7.758159472000001], [6.820673438, 7.820673438000001], [6.8125132100000005, 7.8125132100000005], [6.692296347, 7.692296347], [6.873312112000001, 7.873312112000001], [6.633928835000001, 7.633928835000001], [6.645506396, 7.645506396], [6.882218574, 7.882218574], [6.7642951600000005, 7.7642951600000005], [6.7669746250000005, 7.7669746250000005], [6.82851313, 7.82851313], [6.693089788, 7.693089788000001], [6.823774907000001, 7.823774907000001], [6.707218387, 7.707218387]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "hw_qmfk", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.0643307168313334, "delta1": -2.081220695409679, "delta10": -2.074982950349061, "delta11": -2.103293246890298, "delta12": -2.103288822009991, "delta13": -2.0708990580124977, "delta14": -2.0889532653539753, "delta15": -2.090244585943337, "delta16": -2.0690374717277016, "delta17": -2.0647142339382345, "delta18": -2.0971201500346544, "delta19": -2.0970402628808573, "delta2": -2.104611726522404, "delta20": -2.0615777787005674, "delta21": -2.0774314156463696, "delta22": -2.080856638148489, "delta23": -2.0877353380361785, "delta24": -2.095594615032321, "delta25": -2.10295077472189, "delta26": -2.074525960099653, "delta3": -2.0819934182273383, "delta4": -2.0663479692035542, "delta5": -2.4571595160536104, "delta6": -2.0774712475140973, "delta7": -2.079229232957269, "delta8": -1.962880859955612, "delta9": -2.074716551886051, "jq0q1": 0.012282582409368484, "jq10q12": 0.011774909644256266, "jq11q14": 0.010829945769564624, "jq12q13": 0.011562008006016158, "jq12q15": 0.010670112476836656, "jq13q14": 0.011553103663644836, "jq14q16": 0.011442457483389746, "jq15q18": 0.011100953649758334, "jq16q19": 0.011632714490618052, "jq17q18": 0.011862290393061995, "jq18q21": 0.011847369593434187, "jq19q20": 0.011886058532207363, "jq19q22": 0.01194268843468118, "jq1q2": 0.0116162137482256, "jq1q4": 0.011534582663422416, "jq21q23": 0.012120244868974138, "jq22q25": 0.011339420036047636, "jq23q24": 0.011630236028857648, "jq24q25": 0.011140256075239486, "jq25q26": 0.011778476629028737, "jq2q3": 0.011660930840080668, "jq3q5": 0.012794571019982723, "jq4q7": 0.012097180773977137, "jq5q8": 0.012772978500755552, "jq6q7": 0.01191877616938984, "jq7q10": 0.01144349222502933, "jq8q11": 0.010631314227037225, "jq8q9": 0.011110337497636905, "omegad0": 1.0603587622274082, "omegad1": 1.0298739904649528, "omegad10": 1.087414231825372, "omegad11": 0.9633456799698809, "omegad12": 0.9947966049496164, "omegad13": 1.0706125416893013, "omegad14": 1.0989712833493221, "omegad15": 1.2407239205890477, "omegad16": 0.8667372559645663, "omegad17": 1.0867266693889452, "omegad18": 1.06791140727493, "omegad19": 1.0651557472682605, "omegad2": 1.0842905886273877, "omegad20": 1.0501263194316395, "omegad21": 1.0975662983199408, "omegad22": 0.9919301357735879, "omegad23": 1.1066562491988794, "omegad24": 1.049899773125941, "omegad25": 1.0009427431866378, "omegad26": 1.0094237134343498, "omegad3": 0.9931881280532812, "omegad4": 1.1029774922594273, "omegad5": 1.2716927912147198, "omegad6": 1.110801767410921, "omegad7": 1.312566404655108, "omegad8": 0.9644633922228568, "omegad9": 1.1325077083108335, "wq0": 31.877507015236272, "wq1": 31.063092264535545, "wq10": 31.204150231704663, "wq11": 29.308775924031703, "wq12": 29.79148379460021, "wq13": 30.65606848907285, "wq14": 30.00101290731464, "wq15": 30.541526728206655, "wq16": 31.279699207701835, "wq17": 31.417815383868227, "wq18": 29.986252555348084, "wq19": 30.207714209807317, "wq2": 29.330898630448523, "wq20": 31.69884790669774, "wq21": 31.045405551366112, "wq22": 30.830343638231213, "wq23": 30.734839839868144, "wq24": 29.30696200300731, "wq25": 29.79525273539989, "wq26": 31.175036121052095, "wq3": 30.707911348956358, "wq4": 31.518688507707548, "wq5": 31.10515758852881, "wq6": 31.231342207555368, "wq7": 30.723920785447554, "wq8": 29.96986793336274, "wq9": 31.094655577411597}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire10": {"operates": {"qubits": [10]}, "purpose": "acquire", "type": "acquire"}, "acquire11": {"operates": {"qubits": [11]}, "purpose": "acquire", "type": "acquire"}, "acquire12": {"operates": {"qubits": [12]}, "purpose": "acquire", "type": "acquire"}, "acquire13": {"operates": {"qubits": [13]}, "purpose": "acquire", "type": "acquire"}, "acquire14": {"operates": {"qubits": [14]}, "purpose": "acquire", "type": "acquire"}, "acquire15": {"operates": {"qubits": [15]}, "purpose": "acquire", "type": "acquire"}, "acquire16": {"operates": {"qubits": [16]}, "purpose": "acquire", "type": "acquire"}, "acquire17": {"operates": {"qubits": [17]}, "purpose": "acquire", "type": "acquire"}, "acquire18": {"operates": {"qubits": [18]}, "purpose": "acquire", "type": "acquire"}, "acquire19": {"operates": {"qubits": [19]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire20": {"operates": {"qubits": [20]}, "purpose": "acquire", "type": "acquire"}, "acquire21": {"operates": {"qubits": [21]}, "purpose": "acquire", "type": "acquire"}, "acquire22": {"operates": {"qubits": [22]}, "purpose": "acquire", "type": "acquire"}, "acquire23": {"operates": {"qubits": [23]}, "purpose": "acquire", "type": "acquire"}, "acquire24": {"operates": {"qubits": [24]}, "purpose": "acquire", "type": "acquire"}, "acquire25": {"operates": {"qubits": [25]}, "purpose": "acquire", "type": "acquire"}, "acquire26": {"operates": {"qubits": [26]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "acquire5": {"operates": {"qubits": [5]}, "purpose": "acquire", "type": "acquire"}, "acquire6": {"operates": {"qubits": [6]}, "purpose": "acquire", "type": "acquire"}, "acquire7": {"operates": {"qubits": [7]}, "purpose": "acquire", "type": "acquire"}, "acquire8": {"operates": {"qubits": [8]}, "purpose": "acquire", "type": "acquire"}, "acquire9": {"operates": {"qubits": [9]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d10": {"operates": {"qubits": [10]}, "purpose": "drive", "type": "drive"}, "d11": {"operates": {"qubits": [11]}, "purpose": "drive", "type": "drive"}, "d12": {"operates": {"qubits": [12]}, "purpose": "drive", "type": "drive"}, "d13": {"operates": {"qubits": [13]}, "purpose": "drive", "type": "drive"}, "d14": 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[13]}, "purpose": "measure", "type": "measure"}, "m14": {"operates": {"qubits": [14]}, "purpose": "measure", "type": "measure"}, "m15": {"operates": {"qubits": [15]}, "purpose": "measure", "type": "measure"}, "m16": {"operates": {"qubits": [16]}, "purpose": "measure", "type": "measure"}, "m17": {"operates": {"qubits": [17]}, "purpose": "measure", "type": "measure"}, "m18": {"operates": {"qubits": [18]}, "purpose": "measure", "type": "measure"}, "m19": {"operates": {"qubits": [19]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m20": {"operates": {"qubits": [20]}, "purpose": "measure", "type": "measure"}, "m21": {"operates": {"qubits": [21]}, "purpose": "measure", "type": "measure"}, "m22": {"operates": {"qubits": [22]}, "purpose": "measure", "type": "measure"}, "m23": {"operates": {"qubits": [23]}, "purpose": "measure", "type": "measure"}, "m24": {"operates": {"qubits": [24]}, "purpose": "measure", "type": 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{"operates": {"qubits": [5, 8]}, "purpose": "cross-resonance", "type": "control"}, "u12": {"operates": {"qubits": [6, 7]}, "purpose": "cross-resonance", "type": "control"}, "u13": {"operates": {"qubits": [7, 4]}, "purpose": "cross-resonance", "type": "control"}, "u14": {"operates": {"qubits": [7, 6]}, "purpose": "cross-resonance", "type": "control"}, "u15": {"operates": {"qubits": [7, 10]}, "purpose": "cross-resonance", "type": "control"}, "u16": {"operates": {"qubits": [8, 5]}, "purpose": "cross-resonance", "type": "control"}, "u17": {"operates": {"qubits": [8, 9]}, "purpose": "cross-resonance", "type": "control"}, "u18": {"operates": {"qubits": [8, 11]}, "purpose": "cross-resonance", "type": "control"}, "u19": {"operates": {"qubits": [9, 8]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u20": {"operates": {"qubits": [10, 7]}, "purpose": "cross-resonance", "type": "control"}, "u21": {"operates": {"qubits": [10, 12]}, "purpose": "cross-resonance", "type": "control"}, "u22": {"operates": {"qubits": [11, 8]}, "purpose": "cross-resonance", "type": "control"}, "u23": {"operates": {"qubits": [11, 14]}, "purpose": "cross-resonance", "type": "control"}, "u24": {"operates": {"qubits": [12, 10]}, "purpose": "cross-resonance", "type": "control"}, "u25": {"operates": {"qubits": [12, 13]}, "purpose": "cross-resonance", "type": "control"}, "u26": {"operates": {"qubits": [12, 15]}, "purpose": "cross-resonance", "type": "control"}, "u27": {"operates": {"qubits": [13, 12]}, "purpose": "cross-resonance", "type": "control"}, "u28": {"operates": {"qubits": [13, 14]}, "purpose": "cross-resonance", "type": "control"}, "u29": {"operates": {"qubits": [14, 11]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 4]}, "purpose": "cross-resonance", "type": "control"}, "u30": {"operates": {"qubits": [14, 13]}, "purpose": "cross-resonance", "type": "control"}, "u31": {"operates": {"qubits": [14, 16]}, "purpose": "cross-resonance", "type": "control"}, "u32": {"operates": {"qubits": [15, 12]}, "purpose": "cross-resonance", "type": "control"}, "u33": {"operates": {"qubits": [15, 18]}, "purpose": "cross-resonance", "type": "control"}, "u34": {"operates": {"qubits": [16, 14]}, "purpose": "cross-resonance", "type": "control"}, "u35": {"operates": {"qubits": [16, 19]}, "purpose": "cross-resonance", "type": "control"}, "u36": {"operates": {"qubits": [17, 18]}, "purpose": "cross-resonance", "type": "control"}, "u37": {"operates": {"qubits": [18, 15]}, "purpose": "cross-resonance", "type": "control"}, "u38": {"operates": {"qubits": [18, 17]}, "purpose": "cross-resonance", "type": "control"}, "u39": {"operates": {"qubits": [18, 21]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u40": {"operates": {"qubits": [19, 16]}, "purpose": "cross-resonance", "type": "control"}, "u41": {"operates": {"qubits": [19, 20]}, "purpose": "cross-resonance", "type": "control"}, "u42": {"operates": {"qubits": [19, 22]}, "purpose": "cross-resonance", "type": "control"}, "u43": {"operates": {"qubits": [20, 19]}, "purpose": "cross-resonance", "type": "control"}, "u44": {"operates": {"qubits": [21, 18]}, "purpose": "cross-resonance", "type": "control"}, "u45": {"operates": {"qubits": [21, 23]}, "purpose": "cross-resonance", "type": "control"}, "u46": {"operates": {"qubits": [22, 19]}, "purpose": "cross-resonance", "type": "control"}, "u47": {"operates": {"qubits": [22, 25]}, "purpose": "cross-resonance", "type": "control"}, "u48": {"operates": {"qubits": [23, 21]}, "purpose": "cross-resonance", "type": "control"}, "u49": {"operates": {"qubits": [23, 24]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u50": {"operates": {"qubits": [24, 23]}, "purpose": "cross-resonance", "type": "control"}, "u51": {"operates": {"qubits": [24, 25]}, "purpose": "cross-resonance", "type": "control"}, "u52": {"operates": {"qubits": [25, 22]}, "purpose": "cross-resonance", "type": "control"}, "u53": {"operates": {"qubits": [25, 24]}, "purpose": "cross-resonance", "type": "control"}, "u54": {"operates": {"qubits": [25, 26]}, "purpose": "cross-resonance", "type": "control"}, "u55": {"operates": {"qubits": [26, 25]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [3, 5]}, "purpose": "cross-resonance", "type": "control"}, "u8": {"operates": {"qubits": [4, 1]}, "purpose": "cross-resonance", "type": "control"}, "u9": {"operates": {"qubits": [4, 7]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/ourense/conf_ourense.json b/qiskit/test/mock/backends/ourense/conf_ourense.json index 98d9b381e134..df0775f1760a 100644 --- a/qiskit/test/mock/backends/ourense/conf_ourense.json +++ b/qiskit/test/mock/backends/ourense/conf_ourense.json @@ -1 +1 @@ -{"backend_name": "ibmq_ourense", "backend_version": "1.3.3", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["u1", "u2", "u3", "cx", "id", "x", "measure", "delay", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "Giraffe", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "5 qubit device Ourense", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "meas_map": [[0, 1, 2, 3, 4]], "multi_meas_enabled": false, "quantum_volume": 8, "url": "None", "allow_object_storage": true} \ No newline at end of file +{"backend_name": "ibmq_ourense", "backend_version": "1.3.5", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["cx", "id", "delay", "measure", "reset", "rz", "sx", "u1", "u2", "u3", "x"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "Giraffe", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "5 qubit device Ourense", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "meas_map": [[0, 1, 2, 3, 4]], "multi_meas_enabled": false, "quantum_volume": 8, "url": "None", "allow_object_storage": true} \ No newline at end of file diff --git a/qiskit/test/mock/backends/ourense/props_ourense.json b/qiskit/test/mock/backends/ourense/props_ourense.json index 208757027b7d..9995f31baec3 100644 --- a/qiskit/test/mock/backends/ourense/props_ourense.json +++ b/qiskit/test/mock/backends/ourense/props_ourense.json @@ -1 +1 @@ -{"backend_name": "ibmq_ourense", "backend_version": "1.3.3", "last_update_date": "2020-12-13T17:53:47+09:00", "qubits": [[{"date": "2020-12-13T17:13:19+09:00", "name": "T1", "unit": "us", "value": 105.64712674985957}, {"date": "2020-12-13T17:13:42+09:00", "name": "T2", "unit": "us", "value": 82.53973783174771}, {"date": "2020-12-13T17:53:47+09:00", "name": "frequency", "unit": "GHz", "value": 4.820341289182318}, {"date": "2020-12-13T17:53:47+09:00", "name": "anharmonicity", "unit": "GHz", "value": -0.3109489112815027}, {"date": "2020-12-13T17:12:53+09:00", "name": "readout_error", "unit": "", "value": 0.02429999999999999}, {"date": "2020-12-13T17:12:53+09:00", "name": "prob_meas0_prep1", "unit": "", "value": 0.03420000000000001}, {"date": "2020-12-13T17:12:53+09:00", "name": "prob_meas1_prep0", "unit": "", "value": 0.0144}, {"date": "2020-12-13T17:12:53+09:00", "name": "readout_length", "unit": "ns", "value": 5813.333333333333}], [{"date": "2020-12-13T17:13:19+09:00", "name": "T1", "unit": "us", "value": 80.07491924184701}, {"date": "2020-12-13T17:14:15+09:00", "name": "T2", "unit": "us", "value": 27.851286222413997}, {"date": "2020-12-13T17:53:47+09:00", "name": "frequency", "unit": "GHz", "value": 4.890168202471989}, {"date": "2020-12-13T17:53:47+09:00", "name": "anharmonicity", "unit": "GHz", "value": -0.306781656748504}, {"date": "2020-12-13T17:12:53+09:00", "name": "readout_error", "unit": "", "value": 0.02499999999999991}, {"date": "2020-12-13T17:12:53+09:00", "name": "prob_meas0_prep1", "unit": "", "value": 0.03259999999999996}, {"date": "2020-12-13T17:12:53+09:00", "name": "prob_meas1_prep0", "unit": "", "value": 0.0174}, {"date": "2020-12-13T17:12:53+09:00", "name": "readout_length", "unit": "ns", "value": 5813.333333333333}], [{"date": "2020-12-13T17:13:19+09:00", "name": "T1", "unit": "us", "value": 107.46548332419367}, {"date": "2020-12-13T17:13:42+09:00", "name": "T2", "unit": "us", "value": 96.73289700623343}, {"date": "2020-12-13T17:53:47+09:00", "name": "frequency", "unit": "GHz", "value": 4.716559033900155}, {"date": "2020-12-13T17:53:47+09:00", "name": "anharmonicity", "unit": "GHz", "value": -0.3147069857406759}, {"date": "2020-12-13T17:12:53+09:00", "name": "readout_error", "unit": "", 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611.5555555555555}], "name": "cx1_3"}, {"qubits": [1, 2], "gate": "cx", "parameters": [{"date": "2021-01-20T03:26:06-05:00", "name": "gate_error", "unit": "", "value": 0.0077311700693666885}, {"date": "2021-01-17T03:33:58-05:00", "name": "gate_length", "unit": "ns", "value": 391.1111111111111}], "name": "cx1_2"}, {"qubits": [2, 1], "gate": "cx", "parameters": [{"date": "2021-01-20T03:26:06-05:00", "name": "gate_error", "unit": "", "value": 0.0077311700693666885}, {"date": "2021-01-17T03:33:58-05:00", "name": "gate_length", "unit": "ns", "value": 426.66666666666663}], "name": "cx2_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-01-20T03:22:19-05:00", "name": "gate_error", "unit": "", "value": 0.005539566841768234}, {"date": "2021-01-17T03:33:58-05:00", "name": "gate_length", "unit": "ns", "value": 234.66666666666666}], "name": "cx1_0"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-01-20T03:22:19-05:00", "name": "gate_error", "unit": "", "value": 0.005539566841768234}, {"date": "2021-01-17T03:33:58-05:00", "name": "gate_length", "unit": "ns", "value": 270.22222222222223}], "name": "cx0_1"}], "general": [{"date": "2021-01-20T03:33:58-05:00", "name": "jq_12", "unit": "GHz", "value": 0.0019508133069484686}, {"date": "2021-01-20T03:33:58-05:00", "name": "zz_12", "unit": "GHz", "value": -7.296762297670841e-05}, {"date": "2021-01-20T03:33:58-05:00", "name": "jq_13", "unit": "GHz", "value": 0.0015500731510814914}, {"date": "2021-01-20T03:33:58-05:00", "name": "zz_13", "unit": "GHz", "value": -3.5102840955056545e-05}, {"date": "2021-01-20T03:33:58-05:00", "name": "jq_01", "unit": "GHz", "value": 0.002724632910037548}, {"date": "2021-01-20T03:33:58-05:00", "name": "zz_01", "unit": "GHz", "value": -0.00010194250151283143}, {"date": "2021-01-20T03:33:58-05:00", "name": "jq_34", "unit": "GHz", "value": 0.0025069531561118497}, {"date": "2021-01-20T03:33:58-05:00", "name": "zz_34", "unit": "GHz", "value": -0.00019561390893935735}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/paris/conf_paris.json b/qiskit/test/mock/backends/paris/conf_paris.json index 4b2e9dd391cf..0c23f5d69564 100644 --- a/qiskit/test/mock/backends/paris/conf_paris.json +++ b/qiskit/test/mock/backends/paris/conf_paris.json @@ -1 +1 @@ -{"backend_name": "ibmq_paris", "backend_version": "1.6.8", "n_qubits": 27, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]], "dynamic_reprate_enabled": true, "supported_instructions": ["shiftf", "id", "cx", "u2", "measure", "acquire", "play", "reset", "u1", "delay", "u3", "setf", "x"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "FalconR4", "n_registers": 1, "credits_required": true, "online_date": "2020-03-23T04:00:00+00:00", "description": "27 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["u1", "u0", "m0", "d0"], ["u4", "u8", "u2", "u0", "u1", "u3", "m1", "d1"], ["u4", "u2", "u6", "u5", "d2", "m2"], ["m3", "u10", "u6", "u5", "d3", "u7"], ["u13", "u9", "u8", "d4", "u3", "m4"], ["u10", "d5", "u16", "m5", "u11", "u7"], ["u14", "u12", "d6", "m6"], ["u13", "d7", "u14", "u9", "u20", "u12", "m7", "u15"], ["u19", "u16", "u17", "u22", "d8", "u11", "m8", "u18"], ["m9", "u17", "d9", "u19"], ["u20", "u24", "m10", "u21", "u15", "d10"], ["u29", "d11", "u22", "u18", "m11", "u23"], ["u27", "d12", "u24", "u25", "u21", "u32", "u26", "m12"], ["u27", "u28", "m13", "u25", "d13", "u30"], ["u28", "u29", "u31", "d14", "u30", "m14", "u34", "u23"], ["m15", "u37", "u32", "d15", "u33", "u26"], ["u40", "u31", "m16", "d16", "u35", "u34"], ["m17", "u36", "d17", "u38"], ["u44", "m18", "d18", "u37", "u36", "u33", "u38", "u39"], ["u40", "u41", "u42", "d19", "m19", "u35", "u43", "u46"], ["d20", "m20", "u41", "u43"], ["u44", "d21", "u48", "m21", "u39", "u45"], ["u42", "m22", "u47", "u52", "u46", "d22"], ["m23", "d23", "u49", "u50", "u48", "u45"], ["u51", "u49", "d24", "m24", "u50", "u53"], ["m25", "u51", "u54", "d25", "u47", "u55", "u52", "u53"], ["d26", "u55", "u54", "m26"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 56, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.571588057997867, 5.571588057997867], [4.520789781182957, 5.520789781182957], [4.31820176694015, 5.31820176694015], [4.394793906321286, 5.394793906321286], [4.585013351668594, 5.585013351668594], [4.3036966432084505, 5.3036966432084505], [4.70156765915058, 5.70156765915058], [4.642217288805446, 5.642217288805446], [4.568778554222256, 5.568778554222256], [4.670173958096225, 5.670173958096225], [4.41930850300665, 5.41930850300665], [4.459291657692834, 5.459291657692834], [4.5420916318577405, 5.5420916318577405], [4.613714103534968, 5.613714103534968], [4.398855049603386, 5.398855049603386], [4.349750186737468, 5.349750186737468], [4.52076224715758, 5.52076224715758], [4.550776400103752, 5.550776400103752], [4.436712570130168, 5.436712570130168], [4.262697352717696, 5.262697352717696], [4.538610139705206, 5.538610139705206], [4.334550909743804, 5.334550909743804], [4.489638014655858, 5.489638014655858], [4.626333199976553, 5.626333199976553], [4.478695177469367, 5.478695177469367], [4.3521067077715765, 5.3521067077715765], [4.458275581847208, 5.458275581847208]], "meas_lo_range": [[6.737895923000001, 7.737895923000001], [6.775636744000001, 7.775636744000001], [6.721691267000001, 7.721691267000001], [6.873178587000001, 7.873178587000001], [6.8137342190000005, 7.8137342190000005], [6.810400843, 7.810400843000001], [6.928058906, 7.928058906], [6.595818406, 7.595818406], [6.608712392, 7.608712392], [6.9272649170000005, 7.9272649170000005], [6.745143174000001, 7.745143174000001], [6.824107004, 7.824107004000001], [6.838562153000001, 7.838562153000001], [6.813394602000001, 7.813394602000001], [6.789745106000001, 7.789745106000001], [6.873954354, 7.873954354], [6.750351729, 7.750351729], [6.930527564, 7.930527564], [6.598826063000001, 7.598826063000001], [6.613728571, 7.613728571], [6.937219096000001, 7.937219096000001], [6.8169544680000005, 7.8169544680000005], [6.798747511, 7.798747511], [6.886912724, 7.886912724], [6.74299345, 7.74299345], [6.789924949, 7.789924949], [6.729053435000001, 7.729053435000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["linear_discriminator", "hw_qmfk", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.114941050575065, "delta1": -2.0154827334770196, "delta10": -2.128655899290157, "delta11": -2.121833813659308, "delta12": -2.01576599508792, "delta13": 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"credits_required": true, "online_date": "2020-03-23T04:00:00+00:00", "description": "27 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "d0", "u1", "u0"], ["m1", "u3", "u0", "u2", "u1", "u4", "u8", "d1"], ["m2", "u5", "d2", "u2", "u6", "u4"], ["m3", "u5", "d3", "u6", "u10", "u7"], ["u13", "u3", "m4", "u9", "d4", "u8"], ["d5", "u16", "u10", "u11", "u7", "m5"], ["d6", "m6", "u14", "u12"], ["u13", "d7", "u14", "u12", "u9", "m7", "u15", "u20"], ["u19", "m8", "u16", "d8", "u18", "u22", "u17", "u11"], ["d9", "u19", "m9", "u17"], ["m10", "d10", "u21", "u24", "u15", "u20"], ["m11", "d11", "u23", "u22", "u18", "u29"], ["u32", "u27", "u21", "u24", "u25", "u26", "d12", "m12"], ["u30", "u27", "u28", "m13", "u25", "d13"], ["u30", "u31", "u28", 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0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.5717169110383695, 5.5717169110383695], [4.520819687257467, 5.520819687257467], [4.31841386211475, 5.31841386211475], [4.394727248231744, 5.394727248231744], [4.585009254869315, 5.585009254869315], [4.304198874503833, 5.304198874503833], [4.701561135682865, 5.701561135682865], [4.642375618350829, 5.642375618350829], [4.568798976174808, 5.568798976174808], [4.670238482293785, 5.670238482293785], [4.419314179033781, 5.419314179033781], [4.459295097417155, 5.459295097417155], [4.542155570178757, 5.542155570178757], [4.613725063912886, 5.613725063912886], [4.398872438216649, 5.398872438216649], [4.349705660366571, 5.349705660366571], [4.520763999757115, 5.520763999757115], [4.550722559590579, 5.550722559590579], [4.436705121254483, 5.436705121254483], [4.262808525440336, 5.262808525440336], [4.538631416830751, 5.538631416830751], [4.334633198369855, 5.334633198369855], [4.489606216329268, 5.489606216329268], [4.626337959260502, 5.626337959260502], [4.478697920369316, 5.478697920369316], [4.352034190246308, 5.352034190246308], [4.458284656949012, 5.458284656949012]], "meas_lo_range": [[6.737895923000001, 7.737895923000001], [6.775636744000001, 7.775636744000001], [6.721691267000001, 7.721691267000001], [6.873178587000001, 7.873178587000001], [6.8137342190000005, 7.8137342190000005], [6.810400843, 7.810400843000001], [6.928058906, 7.928058906], [6.595818406, 7.595818406], [6.608712392, 7.608712392], [6.9272649170000005, 7.9272649170000005], [6.745143174000001, 7.745143174000001], [6.824107004, 7.824107004000001], [6.838562153000001, 7.838562153000001], [6.813394602000001, 7.813394602000001], [6.789745106000001, 7.789745106000001], [6.873954354, 7.873954354], [6.750351729, 7.750351729], [6.930527564, 7.930527564], [6.598826063000001, 7.598826063000001], [6.613728571, 7.613728571], [6.937219096000001, 7.937219096000001], [6.816835988, 7.816835988], [6.798747511, 7.798747511], [6.886912724, 7.886912724], [6.74299345, 7.74299345], [6.789924949, 7.789924949], [6.729053435000001, 7.729053435000001]], "meas_kernels": ["hw_qmfk"], "discriminators": ["hw_qmfk", "quadratic_discriminator", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.114941050575065, "delta1": -2.0154827334770196, "delta10": -2.128655899290157, "delta11": -2.121833813659308, "delta12": -2.01576599508792, "delta13": 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{"date": "2021-03-15T14:03:31-04:00", "name": "jq_2425", "unit": "GHz", "value": 0.0014510965269706646}, {"date": "2021-03-15T14:03:31-04:00", "name": "zz_2425", "unit": "GHz", "value": -2.9309646898745912e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/quito/conf_quito.json b/qiskit/test/mock/backends/quito/conf_quito.json index fedf77453540..53accd6d0c4a 100644 --- a/qiskit/test/mock/backends/quito/conf_quito.json +++ b/qiskit/test/mock/backends/quito/conf_quito.json @@ -1 +1 @@ -{"backend_name": "ibmq_quito", "backend_version": "1.0.8", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["acquire", "u2", "sx", "delay", "id", "measure", "rz", "u1", "cx", "setf", "u3", "shiftf", "x", "play", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device Quito", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["d0", "u1", "m0", "u0"], ["u4", "u2", "m1", "d1", "u1", "u0", "u3", "u5"], ["u4", "u2", "d2", "m2"], ["u7", "u6", "d3", "u3", "m3", "u5"], ["m4", "u7", "u6", "d4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.80035844780137, 5.80035844780137], [4.580853774451168, 5.580853774451168], [4.822284022642681, 5.822284022642681], [4.663774541101658, 5.663774541101658], [4.5525940458592915, 5.5525940458592915]], "meas_lo_range": [[6.807868157000001, 7.807868157000001], [6.7292695270000005, 7.7292695270000005], [6.991060108, 7.991060108], [6.8547510460000005, 7.8547510460000005], [6.904365522000001, 7.904365522000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["linear_discriminator", "quadratic_discriminator", "hw_centroid"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.0827513300148186, "delta1": -2.0058778622715616, "delta2": -2.0880065449040663, "delta3": -2.1053738129998156, "delta4": -2.005987719908062, "jq0q1": 0.011708244917214646, "jq1q2": 0.012036525934936945, "jq1q3": 0.011454603594507373, "jq3q4": 0.010153599217904038, "omegad0": 1.1134863558628076, "omegad1": 1.3223977786062957, "omegad2": 1.105394411222456, "omegad3": 1.358838375770225, "omegad4": 0.54338010511121, "wq0": 33.30313432201077, "wq1": 31.92394578355952, "wq2": 33.44089677170516, "wq3": 32.444952326237946, "wq4": 31.746384672086165}}} \ No newline at end of file +{"backend_name": "ibmq_quito", "backend_version": "1.0.8", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["rz", "u2", "acquire", "cx", "x", "setf", "shiftf", "id", "measure", "sx", "play", "u3", "u1", "delay", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device Quito", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["m0", "u0", "u1", "d0"], ["m1", "u2", "d1", "u0", "u4", "u5", "u1", "u3"], ["u4", "u2", "d2", "m2"], ["d3", "m3", "u7", "u5", "u6", "u3"], ["u7", "m4", "d4", "u6"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.800357189009302, 5.800357189009302], [4.5808072105602875, 5.5808072105602875], [4.82228015442115, 5.82228015442115], [4.663751852649357, 5.663751852649357], [4.552591551254356, 5.552591551254356]], "meas_lo_range": [[6.807868157000001, 7.807868157000001], [6.7292695270000005, 7.7292695270000005], [6.991060108, 7.991060108], [6.8547510460000005, 7.8547510460000005], [6.904365522000001, 7.904365522000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_centroid"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.0827513300148186, "delta1": -2.0058778622715616, "delta2": -2.0880065449040663, "delta3": -2.1053738129998156, "delta4": -2.005987719908062, "jq0q1": 0.011708244917214646, "jq1q2": 0.012036525934936945, "jq1q3": 0.011454603594507373, "jq3q4": 0.010153599217904038, "omegad0": 1.1126739804002828, "omegad1": 1.323809466027628, "omegad2": 1.1045412859151778, "omegad3": 1.35875953482571, "omegad4": 0.5432232764222839, "wq0": 33.303126412786945, "wq1": 31.9236532140045, "wq2": 33.44087246695247, "wq3": 32.44480977048781, "wq4": 31.74636899802109}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/quito/defs_quito.json b/qiskit/test/mock/backends/quito/defs_quito.json index 6f82f93cd44d..f70a0e85d42a 100644 --- a/qiskit/test/mock/backends/quito/defs_quito.json +++ b/qiskit/test/mock/backends/quito/defs_quito.json @@ -1 +1 @@ -{"qubit_freq_est": [5.30035844780137, 5.080853774451168, 5.322284022642681, 5.163774541101658, 5.0525940458592915], "meas_freq_est": [7.307868157000001, 7.2292695270000005, 7.491060108, 7.3547510460000005, 7.404365522000001], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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{"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 277.3333333333333}], "name": "cx3_4"}, {"qubits": [4, 3], "gate": "cx", "parameters": [{"date": "2021-03-15T00:39:13-04:00", "name": "gate_error", "unit": "", "value": 0.029727598424247825}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 312.88888888888886}], "name": "cx4_3"}, {"qubits": [1, 3], "gate": "cx", "parameters": [{"date": "2021-03-15T00:32:54-04:00", "name": "gate_error", "unit": "", "value": 0.05645177565782958}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 334.22222222222223}], "name": "cx1_3"}, {"qubits": [3, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:32:54-04:00", "name": "gate_error", "unit": "", "value": 0.05645177565782958}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 369.77777777777777}], "name": "cx3_1"}, {"qubits": [1, 2], "gate": "cx", "parameters": [{"date": "2021-03-15T00:26:46-04:00", "name": "gate_error", "unit": "", "value": 0.04196525220547917}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 497.77777777777777}], "name": "cx1_2"}, {"qubits": [2, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:26:46-04:00", "name": "gate_error", "unit": "", "value": 0.04196525220547917}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 533.3333333333333}], "name": "cx2_1"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:21:09-04:00", "name": "gate_error", "unit": "", "value": 0.013266665748989659}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": "ns", "value": 234.66666666666666}], "name": "cx0_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-03-15T00:21:09-04:00", "name": "gate_error", "unit": "", "value": 0.013266665748989659}, {"date": "2021-03-12T00:39:13-05:00", "name": "gate_length", "unit": 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"2021-03-15T00:39:13-04:00", "name": "zz_01", "unit": "GHz", "value": -7.496747784218088e-05}, {"date": "2021-03-15T00:39:13-04:00", "name": "jq_13", "unit": "GHz", "value": 0.0018230567832240405}, {"date": "2021-03-15T00:39:13-04:00", "name": "zz_13", "unit": "GHz", "value": -4.288984169653279e-05}, {"date": "2021-03-15T00:39:13-04:00", "name": "jq_34", "unit": "GHz", "value": 0.0016159955057034297}, {"date": "2021-03-15T00:39:13-04:00", "name": "zz_34", "unit": "GHz", "value": -3.547813333704521e-05}, {"date": "2021-03-15T00:39:13-04:00", "name": "jq_12", "unit": "GHz", "value": 0.001915672600199012}, {"date": "2021-03-15T00:39:13-04:00", "name": "zz_12", "unit": "GHz", "value": -9.390005618575403e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/rome/conf_rome.json b/qiskit/test/mock/backends/rome/conf_rome.json index e9a0b67d3bf1..9064ba74b8cc 100644 --- a/qiskit/test/mock/backends/rome/conf_rome.json +++ b/qiskit/test/mock/backends/rome/conf_rome.json @@ -1 +1 @@ -{"backend_name": "ibmq_rome", "backend_version": "1.3.6", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["measure", "acquire", "delay", "u1", "reset", "u2", "cx", "u3", "id", "setf", "x", "shiftf", "play"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "Snake", "n_registers": 1, "credits_required": true, "online_date": "2020-03-23T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "d0", "u1", "u0"], ["d1", "u1", "u2", "u3", "u0", "m1"], ["u5", "u2", "u3", "d2", "u4", "m2"], ["u5", "m3", "u6", "d3", "u7", "u4"], ["m4", "d4", "u7", "u6"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.468692142053602, 5.468692142053602], [4.270130735759129, 5.27013073575913], [4.515158402041838, 5.515158402041838], [4.759256530679704, 5.759256530679704], [4.497623655806876, 5.497623655806876]], "meas_lo_range": [[6.923525326, 7.923525326000001], [6.6679560780000005, 7.6679560780000005], [6.816091357, 7.816091357], [6.884056996000001, 7.884056996000001], [6.747308081000001, 7.747308081000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["linear_discriminator", "hw_qmfk", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.121376713496892, "delta1": -2.0572320855686512, "delta2": -2.1219857492779215, "delta3": -2.091175183242651, "delta4": -2.1322677360148967, "jq0q1": 0.008401931549453526, "jq1q2": 0.00827615700717255, "jq2q3": 0.01043348816290951, "jq3q4": 0.009434356217567021, "omegad0": 1.1174093197072017, "omegad1": 1.5951378896475596, "omegad2": 0.9310501649251582, "omegad3": 1.0228740650086916, "omegad4": 0.9204850217367145, "wq0": 31.219213462849854, "wq1": 29.971615352247515, "wq2": 31.51116958488753, "wq3": 33.044883360255, "wq4": 31.4009955249789}}} \ No newline at end of file +{"backend_name": "ibmq_rome", "backend_version": "1.3.16", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["u2", "u3", "shiftf", "measure", "sx", "play", "acquire", "cx", "reset", "x", "delay", "u1", "setf", "rz", "id"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: L", "n_registers": 1, "credits_required": true, "online_date": "2020-03-23T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "L"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["u0", "d0", "u1", "m0"], ["u0", "u2", "u3", "d1", "m1", "u1"], ["u2", "u3", "u4", "d2", "u5", "m2"], ["u6", "m3", "u7", "d3", "u4", "u5"], ["u7", "d4", "u6", "m4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.46870423852159, 5.46870423852159], [4.270105900634483, 5.270105900634482], [4.515175269951426, 5.515175269951426], [4.759259517780883, 5.759259517780883], [4.497613924574336, 5.497613924574336]], "meas_lo_range": [[6.923525326, 7.923525326000001], [6.6679560780000005, 7.6679560780000005], [6.816091357, 7.816091357], [6.884056996000001, 7.884056996000001], [6.747308081000001, 7.747308081000001]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_qmfk"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.121376713496892, "delta1": -2.0572320855686512, "delta2": -2.1219857492779215, "delta3": -2.091175183242651, "delta4": -2.1322677360148967, "jq0q1": 0.008401931549453526, "jq1q2": 0.00827615700717255, "jq2q3": 0.01043348816290951, "jq3q4": 0.009434356217567021, "omegad0": 1.1245451766716479, "omegad1": 1.6033759788340276, "omegad2": 0.9370352535163454, "omegad3": 1.0294259286140768, "omegad4": 0.9251162215202127, "wq0": 31.21928946719979, "wq1": 29.971459308557222, "wq2": 31.51127556908921, "wq3": 33.044902128765244, "wq4": 31.400934381841573}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/rome/defs_rome.json b/qiskit/test/mock/backends/rome/defs_rome.json index 8cbf1b23ac3d..cf57410b021e 100644 --- a/qiskit/test/mock/backends/rome/defs_rome.json +++ b/qiskit/test/mock/backends/rome/defs_rome.json @@ -1 +1 @@ -{"qubit_freq_est": [4.968692142053602, 4.77013073575913, 5.015158402041838, 5.259256530679704, 4.997623655806876], "meas_freq_est": [7.423525326, 7.1679560780000005, 7.316091357, 7.384056996000001, 7.247308081000001], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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"2021-03-15T00:13:49-04:00", "name": "gate_error", "unit": "", "value": 0.00031188498047872215}, {"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x2"}, {"qubits": [3], "gate": "x", "parameters": [{"date": "2021-03-15T00:13:49-04:00", "name": "gate_error", "unit": "", "value": 0.0003482472072609147}, {"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x3"}, {"qubits": [4], "gate": "x", "parameters": [{"date": "2021-03-15T00:13:49-04:00", "name": "gate_error", "unit": "", "value": 0.0002946823181087659}, {"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x4"}, {"qubits": [3, 4], "gate": "cx", "parameters": [{"date": "2021-03-15T00:38:58-04:00", "name": "gate_error", "unit": "", "value": 0.008449236350603101}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 476.4444444444444}], "name": "cx3_4"}, {"qubits": [4, 3], "gate": "cx", "parameters": [{"date": "2021-03-15T00:38:58-04:00", "name": "gate_error", "unit": "", "value": 0.008449236350603101}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 512}], "name": "cx4_3"}, {"qubits": [3, 2], "gate": "cx", "parameters": [{"date": "2021-03-15T00:31:04-04:00", "name": "gate_error", "unit": "", "value": 0.00813625029916143}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 341.3333333333333}], "name": "cx3_2"}, {"qubits": [2, 3], "gate": "cx", "parameters": [{"date": "2021-03-15T00:31:04-04:00", "name": "gate_error", "unit": "", "value": 0.00813625029916143}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 376.88888888888886}], "name": "cx2_3"}, {"qubits": [1, 2], "gate": "cx", "parameters": [{"date": "2021-03-15T00:24:50-04:00", "name": "gate_error", "unit": "", "value": 0.017472769975478503}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 1109.3333333333333}], "name": "cx1_2"}, {"qubits": [2, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:24:50-04:00", "name": "gate_error", "unit": "", "value": 0.017472769975478503}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 1144.888888888889}], "name": "cx2_1"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-03-15T00:19:24-04:00", "name": "gate_error", "unit": "", "value": 0.006623116964874165}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 320}], "name": "cx0_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-03-15T00:19:24-04:00", "name": "gate_error", "unit": "", "value": 0.006623116964874165}, {"date": "2021-03-12T14:29:39-05:00", "name": "gate_length", "unit": "ns", "value": 355.55555555555554}], "name": "cx1_0"}, {"qubits": [0], "gate": "reset", "parameters": [{"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 3520}], "name": "reset0"}, {"qubits": [1], "gate": "reset", "parameters": [{"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 3520}], "name": "reset1"}, {"qubits": [2], "gate": "reset", "parameters": [{"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 3520}], "name": "reset2"}, {"qubits": [3], "gate": "reset", "parameters": [{"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 3520}], "name": "reset3"}, {"qubits": [4], "gate": "reset", "parameters": [{"date": "2021-03-15T14:29:39-04:00", "name": "gate_length", "unit": "ns", "value": 3520}], "name": "reset4"}], "general": [{"date": "2021-03-15T14:29:39-04:00", "name": "jq_01", "unit": "GHz", "value": 0.0013372089376152759}, {"date": "2021-03-15T14:29:39-04:00", "name": "zz_01", "unit": "GHz", "value": -3.637728507512319e-05}, {"date": "2021-03-15T14:29:39-04:00", "name": "jq_34", "unit": "GHz", "value": 0.0015015244269155484}, {"date": "2021-03-15T14:29:39-04:00", "name": "zz_34", "unit": "GHz", "value": -8.449922279710206e-05}, {"date": "2021-03-15T14:29:39-04:00", "name": "jq_23", "unit": "GHz", "value": 0.0016605412148178267}, {"date": "2021-03-15T14:29:39-04:00", "name": "zz_23", "unit": "GHz", "value": -8.19573944865251e-05}, {"date": "2021-03-15T14:29:39-04:00", "name": "jq_12", "unit": "GHz", "value": 0.0013171912974961383}, {"date": "2021-03-15T14:29:39-04:00", "name": "zz_12", "unit": "GHz", "value": -5.2536503588451545e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/santiago/conf_santiago.json b/qiskit/test/mock/backends/santiago/conf_santiago.json index 24c2bd765a29..3469fad47a9e 100644 --- a/qiskit/test/mock/backends/santiago/conf_santiago.json +++ b/qiskit/test/mock/backends/santiago/conf_santiago.json @@ -1 +1 @@ -{"backend_name": "ibmq_santiago", "backend_version": "1.3.0", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["u3", "id", "u1", "u2", "delay", "cx", "x", "reset", "play", "shiftf", "acquire", "measure", "setf"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "Snake", "n_registers": 1, "credits_required": true, "online_date": "2020-06-03T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "acquisition_latency": [], "allow_q_object": true, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}, "conditional_latency": [], "discriminators": ["hw_qmfk", "quadratic_discriminator", "linear_discriminator"], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": 0, "delta1": 0, "delta2": 0, "delta3": 0, "delta4": 0, "jq0q1": 0.007378105608801839, "jq1q2": 0.007268700678758498, "jq2q3": 0.007255936195908655, "jq3q4": 0.006881064755295536, "omegad0": 1.0019356179093872, "omegad1": 0.977011717534004, "omegad2": 0.9812756623550579, "omegad3": 0.998957769235841, "omegad4": 0.9979385368387343, "wq0": 30.36940778530882, "wq1": 29.051008892425926, "wq2": 30.28843955714525, "wq3": 29.79680575939477, "wq4": 30.261897305703393}}, "meas_kernels": ["hw_boxcar"], "meas_levels": [1, 2], "meas_lo_range": [[6.952624018e+18, 7.952624018e+18], [6.701014434e+18, 7.701014434e+18], [6.837332258e+18, 7.837332258e+18], [6.901770712e+18, 7.901770712e+18], [6.775814414e+18, 7.775814414e+18]], "meas_map": [[0, 1, 2, 3, 4]], "multi_meas_enabled": false, "n_uchannels": 8, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "u0", "d0", "u1"], ["u3", "u1", "u2", "u0", "m1", "d1"], ["u3", "m2", "u2", "d2", "u5", "u4"], ["m3", "u7", "u5", "u4", "d3", "u6"], ["u6", "m4", "u7", "d4"]], "qubit_lo_range": [[4.3334413678053883e+18, 5.333441367805389e+18], [4.123611667036194e+18, 5.123611667036194e+18], [4.3205548740597637e+18, 5.320554874059764e+18], [4.242308924956734e+18, 5.242308924956733e+18], [4.3163305435420047e+18, 5.316330543542005e+18]], "rep_times": [0.001], "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true} \ No newline at end of file +{"backend_name": "ibmq_santiago", "backend_version": "1.3.14", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["rz", "acquire", "u3", "id", "sx", "cx", "u2", "measure", "x", "reset", "play", "shiftf", "setf", "u1", "delay"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "family: Falcon, revision: 4, segment: L", "n_registers": 1, "credits_required": true, "online_date": "2020-06-03T04:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "L"}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "d0", "u0", "u1"], ["u0", "u3", "u2", "d1", "m1", "u1"], ["u4", "u3", "u2", "d2", "m2", "u5"], ["u4", "u6", "m3", "u7", "d3", "u5"], ["u6", "u7", "m4", "d4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.333426569986278, 5.333426569986278], [4.123610393238304, 5.1236103932383035], [4.320534248353357, 5.320534248353357], [4.242310938423291, 5.242310938423292], [4.316324571878743, 5.316324571878743]], "meas_lo_range": [[6.952624018000001, 7.952624018000001], [6.701014434, 7.701014434], [6.837332258, 7.837332258000001], [6.901770712, 7.901770712], [6.775814414, 7.775814414]], "meas_kernels": ["hw_qmfk"], "discriminators": ["linear_discriminator", "quadratic_discriminator", "hw_qmfk"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{3}^{(2,1)}(t)+U_{4}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{6}^{(3,4)}(t)+U_{5}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad2*X1||U2", "omegad1*X2||U3", "omegad3*X2||U4", "omegad4*X3||U6", "omegad2*X3||U5", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.148127849071491, "delta1": -2.0623435150768743, "delta2": -2.142982850985087, "delta3": -2.137118237032298, "delta4": -2.154596484455155, "jq0q1": 0.007378105608801839, "jq1q2": 0.007268700678758498, "jq2q3": 0.007255936195908655, "jq3q4": 0.006881064755295537, "omegad0": 1.0067268608035027, "omegad1": 0.9818467635477356, "omegad2": 0.981974502428859, "omegad3": 1.0046505380033994, "omegad4": 0.9969553075463392, "wq0": 30.369314807869202, "wq1": 29.051000888917738, "wq2": 30.2883099620098, "wq3": 29.796818410378265, "wq4": 30.26185978463654}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/santiago/defs_santiago.json b/qiskit/test/mock/backends/santiago/defs_santiago.json new file mode 100644 index 000000000000..0df33d05ed30 --- /dev/null +++ b/qiskit/test/mock/backends/santiago/defs_santiago.json @@ -0,0 +1 @@ +{"qubit_freq_est": [4.833426569986278, 4.6236103932383035, 4.820534248353357, 4.742310938423292, 4.816324571878743], "meas_freq_est": [7.452624018000001, 7.201014434, 7.337332258000001, 7.401770712, 7.275814414], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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a/qiskit/test/mock/backends/sydney/conf_sydney.json +++ b/qiskit/test/mock/backends/sydney/conf_sydney.json @@ -1 +1 @@ -{"backend_name": "ibmq_sydney", "backend_version": "1.0.33", "n_qubits": 27, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], 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"conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]], "dynamic_reprate_enabled": true, "supported_instructions": ["id", "rz", "u2", "x", "u3", "acquire", "delay", "sx", "u1", "shiftf", "setf", "reset", "play", "measure", "cx"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4", "n_registers": 1, "credits_required": true, "online_date": "2020-09-02T04:00:00+00:00", "description": "27 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["u1", "m0", "u0", "d0"], ["u2", "u3", "u8", "d1", "u4", "u1", "m1", "u0"], ["u2", "d2", "u6", "u4", "m2", "u5"], ["d3", "u7", "u6", "m3", "u10", "u5"], ["m4", "u3", "u8", "d4", "u13", "u9"], ["u11", "m5", "u7", "u16", "u10", "d5"], ["u14", "m6", "u12", "d6"], ["d7", "u20", "u14", "m7", "u15", "u13", "u12", "u9"], ["u11", "u18", "u17", "u16", "u19", "m8", "u22", "d8"], ["u17", "u19", "m9", "d9"], ["u20", "u21", "m10", "u15", "d10", "u24"], ["u18", "m11", "u22", "d11", "u29", "u23"], ["u27", "u21", "m12", "u26", "u25", "d12", "u32", "u24"], ["u28", "u30", "m13", "u25", "d13", "u27"], ["u28", "u30", "d14", "m14", "u34", "u31", "u29", "u23"], ["d15", "u37", "m15", "u26", "u32", "u33"], ["m16", "u40", "u35", "d16", "u34", "u31"], ["d17", "u36", "m17", "u38"], ["u39", "u38", "u37", "d18", "u36", "u44", "u33", "m18"], ["u46", "u43", "u40", "u42", "u35", "d19", "m19", "u41"], ["d20", "u43", "u41", "m20"], ["u39", "m21", "u45", "d21", "u44", "u48"], ["u46", "u42", "d22", "u52", "u47", "m22"], ["u49", "m23", "u45", "u48", "d23", "u50"], ["d24", "u49", "m24", "u53", "u50", "u51"], ["u55", "u54", "m25", "d25", "u52", "u47", "u53", "u51"], ["u54", "u55", "m26", "d26"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 56, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 6, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 9, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 7, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 8, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 10, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 11, "scale": [1.0, 0.0]}], [{"q": 13, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 12, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 14, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 15, "scale": [1.0, 0.0]}], [{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.591543573831103, 5.591543573831103], [4.513699017992856, 5.513699017992856], [4.363033603070981, 5.363033603070981], [4.604399593067322, 5.604399593067322], [4.564049937891457, 5.564049937891457], [4.393166186903226, 5.393166186903226], [4.493602709882529, 5.493602709882529], [4.443156383195831, 5.443156383195831], [4.261326160093105, 5.261326160093105], [4.34973786325914, 5.34973786325914], [4.546751894437314, 5.546751894437314], [4.346894052483144, 5.346894052483144], [4.499196529630226, 5.499196529630226], [4.381595443393762, 5.381595443393762], [4.59745359438372, 5.59745359438372], [4.261230052282037, 5.261230052282037], [4.467769100964039, 5.467769100964039], [4.554504112712609, 5.554504112712609], [4.394747095758212, 5.394747095758212], [4.39358976033237, 5.39358976033237], [4.525947744265614, 5.525947744265614], [4.442495330040149, 5.442495330040149], [4.484722756452134, 5.484722756452134], [4.571129489925492, 5.571129489925493], [4.469254688181942, 5.469254688181942], [4.390796910794939, 5.390796910794939], [4.52055495820656, 5.52055495820656]], "meas_lo_range": [[6.727675282000001, 7.727675282000001], [6.840193435000001, 7.840193435000001], [6.726346275, 7.726346275], [6.846757417, 7.846757417], [6.792114450000001, 7.792114450000001], [6.785493899, 7.785493899], [6.903237599000001, 7.903237599000001], [6.659048628000001, 7.659048628000001], [6.653903087000001, 7.653903087000001], [6.898775146, 7.898775146], [6.735621482, 7.735621482000001], [6.784627374, 7.784627374], [6.88419644, 7.88419644], [6.785237983, 7.785237983000001], [6.837548355, 7.837548355000001], [6.845404326000001, 7.845404326000001], [6.710841166000001, 7.710841166000001], [6.9052766860000006, 7.9052766860000006], [6.6609555590000005, 7.6609555590000005], [6.657726667, 7.657726667], [6.899256474, 7.899256474], [6.789897957, 7.789897957000001], [6.780479613000001, 7.780479613000001], [6.851492596000001, 7.851492596000001], [6.723516303, 7.723516303], [6.839118128000001, 7.839118128000001], [6.725113257, 7.725113257]], "meas_kernels": ["hw_qmfk"], "discriminators": ["linear_discriminator", "hw_qmfk", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", 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"hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.1029757743145483, "delta1": -1.889957566251604, "delta10": -2.1075250123635105, "delta11": -2.122165410833383, "delta12": -1.8937191892864087, "delta13": -2.1315118601549905, "delta14": -1.9944559195311022, "delta15": -2.12926748183647, "delta16": -2.1193206109058527, "delta17": -2.101296704117268, "delta18": -1.8122832211317532, "delta19": -2.019211541923538, "delta2": -2.1308374256879503, "delta20": -2.104834105587803, "delta21": -2.112497255369509, "delta22": -2.1060155769332347, "delta23": -2.0975934900809117, "delta24": -2.1076592091839923, "delta25": -2.0145967983213016, "delta26": -2.1136984163705876, "delta3": -2.0924567784144523, "delta4": -2.105140477820155, "delta5": -2.125438383689764, "delta6": -2.117827256661558, "delta7": -2.015922682385355, "delta8": -2.0298088223039183, "delta9": -2.1326319066449693, "jq0q1": 0.011090796744123393, "jq10q12": 0.010067519106602307, "jq11q14": 0.009791070765993807, "jq12q13": 0.008939473422600992, "jq12q15": 0.009228031782822355, "jq13q14": 0.010151031733331484, "jq14q16": 0.010603997024789619, "jq15q18": 0.008826660101169967, "jq16q19": 0.008845376733445617, "jq17q18": 0.010044545332996258, "jq18q21": 0.008466955758003976, "jq19q20": 0.009428537753008791, "jq19q22": 0.0098012402738952, "jq1q2": 0.010107920013162837, "jq1q4": 0.010213210084310012, "jq21q23": 0.00943899994836744, "jq22q25": 0.008837749763711189, "jq23q24": 0.008809555384580408, "jq24q25": 0.009428902220394409, "jq25q26": 0.00949126897110876, "jq2q3": 0.009127922204565337, "jq3q5": 0.00988519329608032, "jq4q7": 0.010154002041793902, "jq5q8": 0.008088352614859238, "jq6q7": 0.009310839926125676, "jq7q10": 0.009530622705854506, "jq8q11": 0.008329318949338305, "jq8q9": 0.008163329426619157, "omegad0": 0.9200399822102548, "omegad1": 0.9391483378107012, "omegad10": 0.9775894046651323, "omegad11": 1.0510077000114126, "omegad12": 1.0634895737594245, "omegad13": 0.9944909451627687, "omegad14": 1.0487366016989292, "omegad15": 0.993036367235271, "omegad16": 1.0445499779932357, "omegad17": 1.019959321227324, "omegad18": 1.0324262414824623, "omegad19": 1.0380052372925774, "omegad2": 1.0140636643140393, "omegad20": 1.0556512470850865, "omegad21": 1.0008130626271876, "omegad22": 1.0453942987301563, "omegad23": 1.1906581471420763, "omegad24": 1.0394019134897559, "omegad25": 1.0124527637608962, "omegad26": 1.0161145488496979, "omegad3": 1.0557181578759722, "omegad4": 0.9242946489907706, "omegad5": 1.0078850683578986, "omegad6": 0.987170222253241, "omegad7": 1.081097000597114, "omegad8": 0.732501516625372, "omegad9": 1.0838181057765177, "wq0": 31.991111773960235, "wq1": 31.50200000447344, "wq10": 31.709677352109278, "wq11": 30.453933496018212, "wq12": 31.410878182675816, "wq13": 30.671968765526508, "wq14": 32.02824552826156, "wq15": 29.915690708600394, "wq16": 31.213413824637986, "wq17": 31.75838597607466, "wq18": 30.754603034427944, "wq19": 30.74733128148482, "wq2": 30.555341283136194, "wq20": 31.578961021422096, "wq21": 31.05461403851199, "wq22": 31.319936783703778, "wq23": 31.862846301904966, "wq24": 31.222748044418054, "wq25": 30.729783290306074, "wq26": 31.54507714729108, "wq3": 32.07188852513406, "wq4": 31.818364164583304, "wq5": 30.744669891138315, "wq6": 31.37573117662607, "wq7": 31.058767557987032, "wq8": 29.916294571786803, "wq9": 30.47180168610235}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire10": {"operates": {"qubits": [10]}, "purpose": "acquire", "type": "acquire"}, "acquire11": {"operates": {"qubits": [11]}, "purpose": "acquire", "type": "acquire"}, "acquire12": {"operates": {"qubits": [12]}, "purpose": "acquire", "type": "acquire"}, "acquire13": {"operates": {"qubits": [13]}, "purpose": "acquire", "type": "acquire"}, "acquire14": {"operates": {"qubits": [14]}, "purpose": "acquire", "type": "acquire"}, "acquire15": {"operates": {"qubits": [15]}, "purpose": "acquire", "type": "acquire"}, "acquire16": {"operates": {"qubits": [16]}, "purpose": "acquire", "type": "acquire"}, "acquire17": {"operates": {"qubits": [17]}, "purpose": "acquire", "type": "acquire"}, "acquire18": {"operates": {"qubits": [18]}, "purpose": "acquire", "type": "acquire"}, "acquire19": {"operates": {"qubits": [19]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire20": {"operates": {"qubits": [20]}, "purpose": "acquire", "type": "acquire"}, "acquire21": {"operates": {"qubits": [21]}, "purpose": "acquire", "type": "acquire"}, "acquire22": {"operates": {"qubits": [22]}, "purpose": "acquire", "type": "acquire"}, "acquire23": {"operates": {"qubits": [23]}, "purpose": "acquire", "type": "acquire"}, "acquire24": {"operates": {"qubits": [24]}, "purpose": "acquire", "type": "acquire"}, "acquire25": {"operates": {"qubits": [25]}, "purpose": "acquire", "type": "acquire"}, "acquire26": {"operates": {"qubits": [26]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "acquire5": {"operates": {"qubits": [5]}, "purpose": "acquire", "type": "acquire"}, "acquire6": {"operates": {"qubits": [6]}, "purpose": "acquire", "type": "acquire"}, "acquire7": {"operates": {"qubits": [7]}, "purpose": "acquire", "type": "acquire"}, "acquire8": {"operates": {"qubits": [8]}, "purpose": "acquire", "type": "acquire"}, "acquire9": {"operates": {"qubits": [9]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d10": {"operates": {"qubits": [10]}, "purpose": "drive", "type": "drive"}, "d11": {"operates": {"qubits": [11]}, "purpose": "drive", "type": "drive"}, "d12": {"operates": {"qubits": [12]}, "purpose": "drive", "type": "drive"}, "d13": {"operates": {"qubits": [13]}, "purpose": "drive", "type": "drive"}, "d14": {"operates": {"qubits": [14]}, "purpose": "drive", "type": "drive"}, "d15": {"operates": {"qubits": [15]}, "purpose": "drive", "type": "drive"}, "d16": {"operates": {"qubits": [16]}, "purpose": "drive", "type": "drive"}, "d17": {"operates": {"qubits": [17]}, "purpose": "drive", "type": "drive"}, "d18": {"operates": {"qubits": [18]}, "purpose": "drive", "type": "drive"}, "d19": {"operates": {"qubits": [19]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d20": {"operates": {"qubits": [20]}, "purpose": "drive", "type": "drive"}, "d21": {"operates": {"qubits": [21]}, "purpose": "drive", "type": "drive"}, "d22": {"operates": {"qubits": [22]}, "purpose": "drive", "type": "drive"}, "d23": {"operates": {"qubits": [23]}, "purpose": "drive", "type": "drive"}, "d24": {"operates": {"qubits": [24]}, "purpose": "drive", "type": "drive"}, "d25": {"operates": {"qubits": [25]}, "purpose": "drive", "type": "drive"}, "d26": {"operates": {"qubits": [26]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "d5": {"operates": {"qubits": [5]}, "purpose": "drive", "type": "drive"}, "d6": {"operates": {"qubits": [6]}, "purpose": "drive", "type": "drive"}, "d7": {"operates": {"qubits": [7]}, "purpose": "drive", "type": "drive"}, "d8": {"operates": {"qubits": [8]}, "purpose": "drive", "type": "drive"}, "d9": {"operates": {"qubits": [9]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m10": {"operates": {"qubits": [10]}, "purpose": "measure", "type": "measure"}, "m11": {"operates": {"qubits": [11]}, "purpose": "measure", "type": "measure"}, "m12": {"operates": {"qubits": [12]}, "purpose": "measure", "type": "measure"}, "m13": {"operates": {"qubits": 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"sigma": 40}}]}], "meas_kernel": {"name": "hw_qmfk", "params": {}}, "discriminator": {"name": "hw_qmfk", "params": {}}, "_data": {}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/sydney/props_sydney.json b/qiskit/test/mock/backends/sydney/props_sydney.json index 041ea05c373a..c2b7914d116c 100644 --- a/qiskit/test/mock/backends/sydney/props_sydney.json +++ b/qiskit/test/mock/backends/sydney/props_sydney.json @@ -1 +1 @@ -{"backend_name": "ibmq_sydney", "backend_version": "1.0.33", "last_update_date": "2021-03-14T08:11:43-04:00", "qubits": [[{"date": "2021-03-14T00:54:23-05:00", "name": "T1", "unit": "us", "value": 41.641017881211496}, {"date": "2021-03-14T00:56:35-05:00", "name": "T2", "unit": "us", "value": 70.65648164284126}, {"date": "2021-03-14T08:11:43-04:00", "name": "frequency", "unit": "GHz", "value": 5.091543573831103}, {"date": "2021-03-14T08:11:43-04:00", "name": "anharmonicity", "unit": "GHz", "value": -0.3346989896846665}, {"date": 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[4.415422562690171, 5.415422562690171], [4.533344455525523, 5.533344455525523], [4.582186249492168, 5.582186249492168], [4.597794973519715, 5.597794973519715], [4.616588302533364, 5.616588302533364], [4.427770549236568, 5.427770549236568], [4.627661540997068, 5.627661540997069], [4.517293372043735, 5.517293372043735], [4.5916401352286025, 5.5916401352286025], [4.44316444102879, 5.44316444102879], [4.657795599900755, 5.657795599900755], [4.559732448925638, 5.559732448925638], [4.5694557733223276, 5.5694557733223276], [4.416021342733463, 5.416021342733463], [4.64473210690698, 5.64473210690698], [4.621898113013616, 5.621898113013616], [4.5995819770596444, 5.5995819770596444], [4.463367461088234, 5.463367461088234], [4.564637517685327, 5.564637517685327], [4.715738163587591, 5.715738163587591]], "meas_lo_range": [[6.773017351, 7.773017351000001], [6.871558296000001, 7.871558296000001], [6.758732686, 7.758732686], [6.892926303, 7.892926303], [6.824668288000001, 7.824668288000001], [6.838835224, 7.838835224], [6.9412061970000005, 7.9412061970000005], [6.685237162000001, 7.685237162000001], [6.696141752000001, 7.696141752000001], [6.939925201, 7.939925201], [6.7603679780000006, 7.7603679780000006], [6.833820699, 7.833820699], [6.922158723000001, 7.922158723000001], [6.818395172000001, 7.818395172000001], [6.8851599210000005, 7.8851599210000005], [6.879309465, 7.879309465], [6.7674171130000005, 7.7674171130000005], [6.934408627000001, 7.934408627000001], [6.677531099, 7.677531099], [6.690135798, 7.690135798000001], [6.937817590000001, 7.937817590000001], [6.814241696000001, 7.814241696000001], [6.823410819, 7.823410819], [6.890961537000001, 7.890961537000001], [6.750984310000001, 7.750984310000001], [6.871374312, 7.871374312], [6.760855036000001, 7.760855036000001]], "meas_kernels": ["hw_boxcar"], "discriminators": ["quadratic_discriminator", "linear_discriminator", "hw_qmfk"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.09704488719674, "delta1": -2.025141838109797, "delta10": -2.111020800309514, "delta11": -2.108776587211153, "delta12": -2.034516308612352, "delta13": -2.1064306424895562, "delta14": -2.0227836797161296, "delta15": -2.1186776426667273, "delta16": -2.1359457952259646, "delta17": -2.108350469370277, "delta18": -2.0141170078140496, "delta19": -2.0121913604818866, "delta2": -2.106929748590654, "delta20": -2.129114929830216, "delta21": -2.1087142627633364, "delta22": -2.116527550626696, "delta23": -1.7166589124150993, "delta24": -2.134851814878189, "delta25": -2.013326298652315, "delta26": -2.1013882168002986, "delta3": -2.0758170989663944, "delta4": -2.1123477145593372, "delta5": -2.0797499621709448, "delta6": -2.1122626978339882, "delta7": -2.033410064935915, "delta8": -1.9390461614353174, "delta9": -2.1174531081028474, "jq0q1": 0.010883555174139215, "jq10q12": 0.01017913360478777, "jq11q14": 0.009619335737514499, "jq12q13": 0.009779556211793893, "jq12q15": 0.009692389928634262, "jq13q14": 0.01020009503110273, "jq14q16": 0.00961019746485081, "jq15q18": 0.009909096681125907, "jq16q19": 0.009426493626453846, "jq17q18": 0.010312804658642963, "jq18q21": 0.00990748166418641, "jq19q20": 0.009533773539598505, "jq19q22": 0.010804725680870533, "jq1q2": 0.009554725417697809, "jq1q4": 0.008894037777262585, "jq21q23": 0.011418542894027878, "jq22q25": 0.009446571323116574, "jq23q24": 0.008968555773269155, "jq24q25": 0.009911337444347305, "jq25q26": 0.010747594237976965, "jq2q3": 0.008693878325509111, "jq3q5": 0.010727034415717282, "jq4q7": 0.009556160357784572, "jq5q8": 0.010151232536045222, "jq6q7": 0.010155948148964693, "jq7q10": 0.009497398539378133, "jq8q11": 0.009612743674569678, "jq8q9": 0.009790518616739916, "omegad0": 1.1141660844251087, "omegad1": 1.162524317783563, "omegad10": 0.9786319468899279, "omegad11": 1.038307907599711, "omegad12": 1.0369464452563748, "omegad13": 1.1035388730741489, "omegad14": 0.9851774370481186, "omegad15": 0.9749230402773927, "omegad16": 1.0435674183931039, "omegad17": 0.9344894484321639, "omegad18": 1.0023968683182691, "omegad19": 1.1225275923850504, "omegad2": 1.0828023952198265, "omegad20": 0.9745594999316654, "omegad21": 0.9955583677459058, "omegad22": 0.9681515417804444, "omegad23": 1.080104481947435, "omegad24": 1.0795971904409207, "omegad25": 1.0366066554824303, "omegad26": 1.0759930587272248, "omegad3": 1.024894449600128, "omegad4": 1.1029123345443015, "omegad5": 1.0481451616828912, "omegad6": 1.1438223323870527, "omegad7": 1.150398976684509, "omegad8": 1.0732210721259507, "omegad9": 1.0812240327310074, "wq0": 32.82939425432575, "wq1": 31.437851200244413, "wq10": 32.03039047663302, "wq11": 32.14847244536457, "wq12": 30.96209551211549, "wq13": 32.21804765458262, "wq14": 31.524583997034714, "wq15": 31.99171848711424, "wq16": 31.058818186844682, "wq17": 32.40738553073195, "wq18": 31.79123658134936, "wq19": 31.852330030335576, "wq2": 32.319418159167974, "wq20": 30.888273070444153, "wq21": 32.325305183493015, "wq22": 32.181834968558, "wq23": 32.04161855101898, "wq24": 31.185757505642844, "wq25": 31.822056037310936, "wq26": 32.77144939554939, "wq3": 32.733076023898015, "wq4": 31.966985451193757, "wq5": 32.46683418258268, "wq6": 32.368894231787486, "wq7": 30.884510824473917, "wq8": 31.625435928931804, "wq9": 31.93231797115932}}} \ No newline at end of file +{"backend_name": "ibmq_toronto", "backend_version": "1.4.21", "n_qubits": 27, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 4], [2, 1], [2, 3], [3, 2], [3, 5], [4, 1], [4, 7], [5, 3], [5, 8], [6, 7], [7, 4], [7, 6], [7, 10], [8, 5], [8, 9], [8, 11], [9, 8], [10, 7], [10, 12], [11, 8], [11, 14], [12, 10], [12, 13], [12, 15], [13, 12], [13, 14], [14, 11], [14, 13], [14, 16], [15, 12], [15, 18], [16, 14], [16, 19], [17, 18], [18, 15], [18, 17], [18, 21], [19, 16], [19, 20], [19, 22], [20, 19], [21, 18], [21, 23], [22, 19], [22, 25], [23, 21], [23, 24], [24, 23], [24, 25], [25, 22], [25, 24], [25, 26], [26, 25]], "dynamic_reprate_enabled": true, "supported_instructions": ["setf", "rz", "u1", "u3", "reset", "measure", "play", "shiftf", "cx", "id", "u2", "acquire", "delay", "x", "sx"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4", "n_registers": 1, "credits_required": true, "online_date": "2020-06-03T04:00:00+00:00", "description": "27 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4}, "allow_q_object": true, "multi_meas_enabled": true, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 32, "qubit_channel_mapping": [["m0", "d0", "u1", "u0"], ["u1", "d1", "u0", "m1", "u3", "u8", "u2", "u4"], ["u6", "d2", "u5", "u2", "m2", "u4"], ["u6", "d3", "u5", "u7", "u10", "m3"], ["u9", "u8", "u3", "m4", "d4", "u13"], ["u10", "u7", "d5", "u16", "m5", "u11"], ["m6", "d6", "u12", "u14"], ["d7", "u20", "u9", "u14", "u12", "m7", "u13", "u15"], ["u22", "d8", "m8", "u16", "u19", "u18", "u11", "u17"], ["u19", "m9", "d9", "u17"], ["u20", "m10", "d10", "u21", "u24", "u15"], ["u22", "u23", "u29", "u18", "m11", "d11"], ["m12", "d12", "u25", "u32", "u21", "u26", "u24", "u27"], ["u28", "d13", "u25", "m13", "u30", "u27"], ["u28", "d14", "u23", "u30", "u29", "u31", "m14", "u34"], ["u33", "m15", "d15", "u32", "u37", "u26"], ["m16", "u35", "u40", "u31", "d16", "u34"], ["u38", "m17", "u36", "d17"], ["u33", "u44", "u36", "d18", "u38", "u37", "u39", "m18"], ["u35", "u42", "u43", "m19", "u41", "d19", "u46", "u40"], ["u43", "d20", "u41", "m20"], ["m21", "u48", "u44", "d21", "u45", "u39"], ["u47", "d22", "u42", "m22", "u52", "u46"], ["m23", "u48", "d23", "u45", "u49", "u50"], ["d24", "u51", "m24", "u53", "u49", "u50"], ["m25", "u47", "u51", "u54", "u53", "u52", "d25", "u55"], ["m26", "u55", "u54", "d26"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 56, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 5, "scale": [1.0, 0.0]}], [{"q": 1, 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[{"q": 17, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 16, "scale": [1.0, 0.0]}], [{"q": 20, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 18, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 19, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 21, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 23, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}], [{"q": 22, "scale": [1.0, 0.0]}], [{"q": 24, "scale": [1.0, 0.0]}], [{"q": 26, "scale": [1.0, 0.0]}], [{"q": 25, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.724962212570894, 5.724962212570894], [4.503480427448205, 5.503480427448205], [4.643800362094826, 5.643800362094826], [4.7096409503067305, 5.7096409503067305], [4.587695855021764, 5.587695855021765], [4.667246178568141, 5.667246178568141], [4.651661610593711, 5.651661610593711], [4.415438732210246, 5.415438732210246], [4.533350608933928, 5.533350608933928], [4.582178998916705, 5.582178998916705], [4.597835413447422, 5.597835413447422], [4.616583435931551, 5.616583435931551], [4.427794748612518, 5.427794748612518], [4.6276685191113955, 5.6276685191113955], [4.517283413157198, 5.517283413157198], [4.591640062036407, 5.591640062036407], [4.443090411669763, 5.443090411669763], [4.65780525208028, 5.65780525208028], [4.559726541920158, 5.559726541920158], [4.569445261647327, 5.569445261647327], [4.4160594400291195, 5.4160594400291195], [4.64472868558601, 5.64472868558601], [4.621439002317635, 5.621439002317635], [4.600166397715177, 5.600166397715177], [4.463363900460583, 5.463363900460583], [4.56463261701273, 5.56463261701273], [4.715727081232004, 5.715727081232004]], "meas_lo_range": [[6.773017351, 7.773017351000001], [6.871558296000001, 7.871558296000001], [6.758732686, 7.758732686], [6.892926303, 7.892926303], [6.824668288000001, 7.824668288000001], [6.838835224, 7.838835224], [6.9412061970000005, 7.9412061970000005], [6.685247284000001, 7.685247284000001], [6.696141752000001, 7.696141752000001], [6.939925201, 7.939925201], [6.7603679780000006, 7.7603679780000006], [6.833820699, 7.833820699], [6.922158723000001, 7.922158723000001], [6.818395172000001, 7.818395172000001], [6.8851599210000005, 7.8851599210000005], [6.879656647, 7.879656647000001], [6.7674171130000005, 7.7674171130000005], [6.934408627000001, 7.934408627000001], [6.677531099, 7.677531099], [6.690135798, 7.690135798000001], [6.937817590000001, 7.937817590000001], [6.814241696000001, 7.814241696000001], [6.823410819, 7.823410819], [6.890961537000001, 7.890961537000001], [6.750984310000001, 7.750984310000001], [6.871374312, 7.871374312], [6.760855036000001, 7.760855036000001]], "meas_kernels": ["hw_qmfk"], "discriminators": ["quadratic_discriminator", "hw_qmfk", "linear_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{26}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{4,7}(\\sigma_{4}^{+}\\sigma_{7}^{-}+\\sigma_{4}^{-}\\sigma_{7}^{+}) + J_{8,9}(\\sigma_{8}^{+}\\sigma_{9}^{-}+\\sigma_{8}^{-}\\sigma_{9}^{+}) + J_{19,22}(\\sigma_{19}^{+}\\sigma_{22}^{-}+\\sigma_{19}^{-}\\sigma_{22}^{+}) + J_{11,14}(\\sigma_{11}^{+}\\sigma_{14}^{-}+\\sigma_{11}^{-}\\sigma_{14}^{+}) \\\\ & + J_{5,8}(\\sigma_{5}^{+}\\sigma_{8}^{-}+\\sigma_{5}^{-}\\sigma_{8}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{6,7}(\\sigma_{6}^{+}\\sigma_{7}^{-}+\\sigma_{6}^{-}\\sigma_{7}^{+}) + J_{12,13}(\\sigma_{12}^{+}\\sigma_{13}^{-}+\\sigma_{12}^{-}\\sigma_{13}^{+}) \\\\ & + J_{10,12}(\\sigma_{10}^{+}\\sigma_{12}^{-}+\\sigma_{10}^{-}\\sigma_{12}^{+}) + J_{25,26}(\\sigma_{25}^{+}\\sigma_{26}^{-}+\\sigma_{25}^{-}\\sigma_{26}^{+}) + J_{15,18}(\\sigma_{15}^{+}\\sigma_{18}^{-}+\\sigma_{15}^{-}\\sigma_{18}^{+}) + J_{7,10}(\\sigma_{7}^{+}\\sigma_{10}^{-}+\\sigma_{7}^{-}\\sigma_{10}^{+}) \\\\ & + J_{8,11}(\\sigma_{8}^{+}\\sigma_{11}^{-}+\\sigma_{8}^{-}\\sigma_{11}^{+}) + J_{21,23}(\\sigma_{21}^{+}\\sigma_{23}^{-}+\\sigma_{21}^{-}\\sigma_{23}^{+}) + J_{1,4}(\\sigma_{1}^{+}\\sigma_{4}^{-}+\\sigma_{1}^{-}\\sigma_{4}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) \\\\ & + J_{16,19}(\\sigma_{16}^{+}\\sigma_{19}^{-}+\\sigma_{16}^{-}\\sigma_{19}^{+}) + J_{18,21}(\\sigma_{18}^{+}\\sigma_{21}^{-}+\\sigma_{18}^{-}\\sigma_{21}^{+}) + J_{23,24}(\\sigma_{23}^{+}\\sigma_{24}^{-}+\\sigma_{23}^{-}\\sigma_{24}^{+}) + J_{19,20}(\\sigma_{19}^{+}\\sigma_{20}^{-}+\\sigma_{19}^{-}\\sigma_{20}^{+}) \\\\ & + J_{3,5}(\\sigma_{3}^{+}\\sigma_{5}^{-}+\\sigma_{3}^{-}\\sigma_{5}^{+}) + J_{17,18}(\\sigma_{17}^{+}\\sigma_{18}^{-}+\\sigma_{17}^{-}\\sigma_{18}^{+}) + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{12,15}(\\sigma_{12}^{+}\\sigma_{15}^{-}+\\sigma_{12}^{-}\\sigma_{15}^{+}) \\\\ & + J_{22,25}(\\sigma_{22}^{+}\\sigma_{25}^{-}+\\sigma_{22}^{-}\\sigma_{25}^{+}) + J_{14,16}(\\sigma_{14}^{+}\\sigma_{16}^{-}+\\sigma_{14}^{-}\\sigma_{16}^{+}) + J_{13,14}(\\sigma_{13}^{+}\\sigma_{14}^{-}+\\sigma_{13}^{-}\\sigma_{14}^{+}) + J_{24,25}(\\sigma_{24}^{+}\\sigma_{25}^{-}+\\sigma_{24}^{-}\\sigma_{25}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,4)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t)+U_{5}^{(2,3)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{7}^{(3,5)}(t)+U_{6}^{(3,2)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{8}^{(4,1)}(t)+U_{9}^{(4,7)}(t))\\sigma_{4}^{X} + \\Omega_{d,5}(U_{11}^{(5,8)}(t)+U_{10}^{(5,3)}(t))\\sigma_{5}^{X} \\\\ & + \\Omega_{d,6}(U_{12}^{(6,7)}(t))\\sigma_{6}^{X} + \\Omega_{d,7}(U_{13}^{(7,4)}(t)+U_{15}^{(7,10)}(t)+U_{14}^{(7,6)}(t))\\sigma_{7}^{X} \\\\ & + \\Omega_{d,8}(U_{18}^{(8,11)}(t)+U_{16}^{(8,5)}(t)+U_{17}^{(8,9)}(t))\\sigma_{8}^{X} + \\Omega_{d,9}(U_{19}^{(9,8)}(t))\\sigma_{9}^{X} \\\\ & + \\Omega_{d,10}(U_{20}^{(10,7)}(t)+U_{21}^{(10,12)}(t))\\sigma_{10}^{X} + \\Omega_{d,11}(U_{23}^{(11,14)}(t)+U_{22}^{(11,8)}(t))\\sigma_{11}^{X} \\\\ & + \\Omega_{d,12}(U_{26}^{(12,15)}(t)+U_{25}^{(12,13)}(t)+U_{24}^{(12,10)}(t))\\sigma_{12}^{X} + \\Omega_{d,13}(U_{27}^{(13,12)}(t)+U_{28}^{(13,14)}(t))\\sigma_{13}^{X} \\\\ & + \\Omega_{d,14}(U_{31}^{(14,16)}(t)+U_{30}^{(14,13)}(t)+U_{29}^{(14,11)}(t))\\sigma_{14}^{X} + \\Omega_{d,15}(U_{33}^{(15,18)}(t)+U_{32}^{(15,12)}(t))\\sigma_{15}^{X} \\\\ & + \\Omega_{d,16}(U_{34}^{(16,14)}(t)+U_{35}^{(16,19)}(t))\\sigma_{16}^{X} + \\Omega_{d,17}(U_{36}^{(17,18)}(t))\\sigma_{17}^{X} \\\\ & + \\Omega_{d,18}(U_{38}^{(18,17)}(t)+U_{37}^{(18,15)}(t)+U_{39}^{(18,21)}(t))\\sigma_{18}^{X} + \\Omega_{d,19}(U_{42}^{(19,22)}(t)+U_{40}^{(19,16)}(t)+U_{41}^{(19,20)}(t))\\sigma_{19}^{X} \\\\ & + \\Omega_{d,20}(U_{43}^{(20,19)}(t))\\sigma_{20}^{X} + \\Omega_{d,21}(U_{44}^{(21,18)}(t)+U_{45}^{(21,23)}(t))\\sigma_{21}^{X} \\\\ & + \\Omega_{d,22}(U_{46}^{(22,19)}(t)+U_{47}^{(22,25)}(t))\\sigma_{22}^{X} + \\Omega_{d,23}(U_{49}^{(23,24)}(t)+U_{48}^{(23,21)}(t))\\sigma_{23}^{X} \\\\ & + \\Omega_{d,24}(U_{50}^{(24,23)}(t)+U_{51}^{(24,25)}(t))\\sigma_{24}^{X} + \\Omega_{d,25}(U_{54}^{(25,26)}(t)+U_{52}^{(25,22)}(t)+U_{53}^{(25,24)}(t))\\sigma_{25}^{X} \\\\ & + \\Omega_{d,26}(U_{55}^{(26,25)}(t))\\sigma_{26}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,26,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,26,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,26,-delta{i}/2*O{i}]", "_SUM[i,0,26,omegad{i}*X{i}||D{i}]", "jq4q7*Sp4*Sm7", "jq4q7*Sm4*Sp7", "jq8q9*Sp8*Sm9", "jq8q9*Sm8*Sp9", "jq19q22*Sp19*Sm22", "jq19q22*Sm19*Sp22", "jq11q14*Sp11*Sm14", "jq11q14*Sm11*Sp14", "jq5q8*Sp5*Sm8", "jq5q8*Sm5*Sp8", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq6q7*Sp6*Sm7", "jq6q7*Sm6*Sp7", "jq12q13*Sp12*Sm13", "jq12q13*Sm12*Sp13", "jq10q12*Sp10*Sm12", "jq10q12*Sm10*Sp12", "jq25q26*Sp25*Sm26", "jq25q26*Sm25*Sp26", "jq15q18*Sp15*Sm18", "jq15q18*Sm15*Sp18", "jq7q10*Sp7*Sm10", "jq7q10*Sm7*Sp10", "jq8q11*Sp8*Sm11", "jq8q11*Sm8*Sp11", "jq21q23*Sp21*Sm23", "jq21q23*Sm21*Sp23", "jq1q4*Sp1*Sm4", "jq1q4*Sm1*Sp4", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq16q19*Sp16*Sm19", "jq16q19*Sm16*Sp19", "jq18q21*Sp18*Sm21", "jq18q21*Sm18*Sp21", "jq23q24*Sp23*Sm24", "jq23q24*Sm23*Sp24", "jq19q20*Sp19*Sm20", "jq19q20*Sm19*Sp20", "jq3q5*Sp3*Sm5", "jq3q5*Sm3*Sp5", "jq17q18*Sp17*Sm18", "jq17q18*Sm17*Sp18", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq12q15*Sp12*Sm15", "jq12q15*Sm12*Sp15", "jq22q25*Sp22*Sm25", "jq22q25*Sm22*Sp25", "jq14q16*Sp14*Sm16", "jq14q16*Sm14*Sp16", "jq13q14*Sp13*Sm14", "jq13q14*Sm13*Sp14", "jq24q25*Sp24*Sm25", "jq24q25*Sm24*Sp25", "omegad1*X0||U0", "omegad0*X1||U1", "omegad4*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad3*X2||U5", "omegad5*X3||U7", "omegad2*X3||U6", "omegad1*X4||U8", "omegad7*X4||U9", "omegad8*X5||U11", "omegad3*X5||U10", "omegad7*X6||U12", "omegad4*X7||U13", "omegad10*X7||U15", "omegad6*X7||U14", "omegad11*X8||U18", "omegad5*X8||U16", "omegad9*X8||U17", "omegad8*X9||U19", "omegad7*X10||U20", "omegad12*X10||U21", "omegad14*X11||U23", "omegad8*X11||U22", "omegad15*X12||U26", "omegad13*X12||U25", "omegad10*X12||U24", "omegad12*X13||U27", "omegad14*X13||U28", "omegad16*X14||U31", "omegad13*X14||U30", "omegad11*X14||U29", "omegad18*X15||U33", "omegad12*X15||U32", "omegad14*X16||U34", "omegad19*X16||U35", "omegad18*X17||U36", "omegad17*X18||U38", "omegad15*X18||U37", "omegad21*X18||U39", "omegad22*X19||U42", "omegad16*X19||U40", "omegad20*X19||U41", "omegad19*X20||U43", "omegad18*X21||U44", "omegad23*X21||U45", "omegad19*X22||U46", "omegad25*X22||U47", "omegad24*X23||U49", "omegad21*X23||U48", "omegad23*X24||U50", "omegad25*X24||U51", "omegad26*X25||U54", "omegad22*X25||U52", "omegad24*X25||U53", "omegad25*X26||U55"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3, "5": 3, "6": 3, "7": 3, "8": 3, "9": 3, "10": 3, "11": 3, "12": 3, "13": 3, "14": 3, "15": 3, "16": 3, "17": 3, "18": 3, "19": 3, "20": 3, "21": 3, "22": 3, "23": 3, "24": 3, "25": 3, "26": 3}, "vars": {"delta0": -2.10076640879594, "delta1": -2.0254919727193084, "delta10": -2.114784992599332, "delta11": -2.108558408859067, "delta12": -2.030330284527766, "delta13": 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0.010312804658642963, "jq18q21": 0.00990748166418641, "jq19q20": 0.009533773539598505, "jq19q22": 0.010804725680870533, "jq1q2": 0.009554725417697809, "jq1q4": 0.008894037777262585, "jq21q23": 0.011418542894027878, "jq22q25": 0.009446571323116574, "jq23q24": 0.008968555773269155, "jq24q25": 0.009911337444347305, "jq25q26": 0.010747594237976965, "jq2q3": 0.008693878325509111, "jq3q5": 0.010727034415717282, "jq4q7": 0.009556160357784572, "jq5q8": 0.010151232536045222, "jq6q7": 0.010155948148964693, "jq7q10": 0.009497398539378133, "jq8q11": 0.009612743674569678, "jq8q9": 0.009790518616739916, "omegad0": 0.06758794393563461, "omegad1": 0.07063037451484425, "omegad10": 0.060609211165014394, "omegad11": 0.06406335746499192, "omegad12": 0.06418900458772615, "omegad13": 0.06843993524682418, "omegad14": 0.061033843139560735, "omegad15": 0.060291392869040505, "omegad16": 0.06452522899867921, "omegad17": 0.05770296658619167, "omegad18": 0.062117136973891124, "omegad19": 0.06934572663393236, 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31.82202524547688, "wq26": 32.77137976305559, "wq3": 32.73313947464835, "wq4": 31.966935843671237, "wq5": 32.46676526775921, "wq6": 32.368844539243526, "wq7": 30.884612420564874, "wq8": 31.625474591937078, "wq9": 31.932272414450093}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire10": {"operates": {"qubits": [10]}, "purpose": "acquire", "type": "acquire"}, "acquire11": {"operates": {"qubits": [11]}, "purpose": "acquire", "type": "acquire"}, "acquire12": {"operates": {"qubits": [12]}, "purpose": "acquire", "type": "acquire"}, "acquire13": {"operates": {"qubits": [13]}, "purpose": "acquire", "type": "acquire"}, "acquire14": {"operates": {"qubits": [14]}, "purpose": "acquire", "type": "acquire"}, "acquire15": {"operates": {"qubits": [15]}, "purpose": "acquire", "type": "acquire"}, "acquire16": {"operates": {"qubits": [16]}, "purpose": "acquire", "type": "acquire"}, "acquire17": {"operates": {"qubits": [17]}, "purpose": "acquire", "type": "acquire"}, "acquire18": {"operates": {"qubits": [18]}, "purpose": "acquire", "type": "acquire"}, "acquire19": {"operates": {"qubits": [19]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire20": {"operates": {"qubits": [20]}, "purpose": "acquire", "type": "acquire"}, "acquire21": {"operates": {"qubits": [21]}, "purpose": "acquire", "type": "acquire"}, "acquire22": {"operates": {"qubits": [22]}, "purpose": "acquire", "type": "acquire"}, "acquire23": {"operates": {"qubits": [23]}, "purpose": "acquire", "type": "acquire"}, "acquire24": {"operates": {"qubits": [24]}, "purpose": "acquire", "type": "acquire"}, "acquire25": {"operates": {"qubits": [25]}, "purpose": "acquire", "type": "acquire"}, "acquire26": {"operates": {"qubits": [26]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "acquire5": {"operates": {"qubits": [5]}, "purpose": "acquire", "type": "acquire"}, "acquire6": {"operates": {"qubits": [6]}, "purpose": "acquire", "type": "acquire"}, "acquire7": {"operates": {"qubits": [7]}, "purpose": "acquire", "type": "acquire"}, "acquire8": {"operates": {"qubits": [8]}, "purpose": "acquire", "type": "acquire"}, "acquire9": {"operates": {"qubits": [9]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d10": {"operates": {"qubits": [10]}, "purpose": "drive", "type": "drive"}, "d11": {"operates": {"qubits": [11]}, "purpose": "drive", "type": "drive"}, "d12": {"operates": {"qubits": [12]}, "purpose": "drive", "type": "drive"}, "d13": {"operates": {"qubits": [13]}, "purpose": "drive", "type": "drive"}, "d14": {"operates": {"qubits": [14]}, "purpose": "drive", "type": "drive"}, "d15": {"operates": {"qubits": [15]}, "purpose": "drive", "type": "drive"}, "d16": {"operates": {"qubits": [16]}, "purpose": "drive", "type": "drive"}, "d17": {"operates": {"qubits": [17]}, "purpose": "drive", "type": "drive"}, "d18": {"operates": {"qubits": [18]}, "purpose": "drive", "type": "drive"}, "d19": {"operates": {"qubits": [19]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d20": {"operates": {"qubits": [20]}, "purpose": "drive", "type": "drive"}, "d21": {"operates": {"qubits": [21]}, "purpose": "drive", "type": "drive"}, "d22": {"operates": {"qubits": [22]}, "purpose": "drive", "type": "drive"}, "d23": {"operates": {"qubits": [23]}, "purpose": "drive", "type": "drive"}, "d24": {"operates": {"qubits": [24]}, "purpose": "drive", "type": "drive"}, "d25": {"operates": {"qubits": [25]}, "purpose": "drive", "type": "drive"}, "d26": {"operates": {"qubits": [26]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "d5": {"operates": {"qubits": [5]}, "purpose": "drive", "type": "drive"}, "d6": {"operates": {"qubits": [6]}, "purpose": "drive", "type": "drive"}, "d7": {"operates": {"qubits": [7]}, "purpose": "drive", "type": "drive"}, "d8": {"operates": {"qubits": [8]}, "purpose": "drive", "type": "drive"}, "d9": {"operates": {"qubits": [9]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m10": {"operates": {"qubits": [10]}, "purpose": "measure", "type": "measure"}, "m11": {"operates": {"qubits": [11]}, "purpose": "measure", "type": "measure"}, "m12": {"operates": {"qubits": [12]}, "purpose": "measure", "type": "measure"}, "m13": {"operates": {"qubits": [13]}, "purpose": "measure", "type": "measure"}, "m14": {"operates": {"qubits": [14]}, "purpose": "measure", "type": "measure"}, "m15": {"operates": {"qubits": [15]}, "purpose": "measure", "type": "measure"}, "m16": {"operates": {"qubits": [16]}, "purpose": "measure", "type": "measure"}, "m17": {"operates": {"qubits": [17]}, "purpose": "measure", "type": "measure"}, "m18": {"operates": {"qubits": [18]}, "purpose": "measure", "type": "measure"}, "m19": {"operates": {"qubits": [19]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m20": {"operates": {"qubits": [20]}, "purpose": "measure", "type": "measure"}, "m21": {"operates": {"qubits": [21]}, "purpose": "measure", "type": "measure"}, "m22": {"operates": {"qubits": [22]}, "purpose": "measure", "type": "measure"}, "m23": {"operates": {"qubits": [23]}, "purpose": "measure", "type": "measure"}, "m24": {"operates": {"qubits": [24]}, "purpose": "measure", "type": "measure"}, "m25": {"operates": {"qubits": [25]}, "purpose": "measure", "type": "measure"}, "m26": {"operates": {"qubits": [26]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "m5": {"operates": {"qubits": [5]}, "purpose": "measure", "type": "measure"}, "m6": {"operates": {"qubits": [6]}, "purpose": "measure", "type": "measure"}, "m7": {"operates": {"qubits": [7]}, "purpose": "measure", "type": "measure"}, "m8": {"operates": {"qubits": [8]}, "purpose": "measure", "type": "measure"}, "m9": {"operates": {"qubits": [9]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u10": {"operates": {"qubits": [5, 3]}, "purpose": "cross-resonance", "type": "control"}, "u11": {"operates": {"qubits": [5, 8]}, "purpose": "cross-resonance", "type": "control"}, "u12": {"operates": {"qubits": [6, 7]}, "purpose": "cross-resonance", "type": "control"}, "u13": {"operates": {"qubits": [7, 4]}, "purpose": "cross-resonance", "type": "control"}, "u14": {"operates": {"qubits": [7, 6]}, "purpose": "cross-resonance", "type": "control"}, "u15": {"operates": {"qubits": [7, 10]}, "purpose": "cross-resonance", "type": "control"}, "u16": {"operates": {"qubits": [8, 5]}, "purpose": "cross-resonance", "type": "control"}, "u17": {"operates": {"qubits": [8, 9]}, "purpose": "cross-resonance", "type": "control"}, "u18": {"operates": {"qubits": [8, 11]}, "purpose": "cross-resonance", "type": "control"}, "u19": {"operates": {"qubits": [9, 8]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u20": {"operates": {"qubits": [10, 7]}, "purpose": "cross-resonance", "type": "control"}, "u21": {"operates": {"qubits": [10, 12]}, "purpose": "cross-resonance", "type": "control"}, "u22": {"operates": {"qubits": [11, 8]}, "purpose": "cross-resonance", "type": "control"}, "u23": {"operates": {"qubits": [11, 14]}, "purpose": "cross-resonance", "type": "control"}, "u24": {"operates": {"qubits": [12, 10]}, "purpose": "cross-resonance", "type": "control"}, "u25": {"operates": {"qubits": [12, 13]}, "purpose": "cross-resonance", "type": "control"}, "u26": {"operates": {"qubits": [12, 15]}, "purpose": "cross-resonance", "type": "control"}, "u27": {"operates": {"qubits": [13, 12]}, "purpose": "cross-resonance", "type": "control"}, "u28": {"operates": {"qubits": [13, 14]}, "purpose": "cross-resonance", "type": "control"}, "u29": {"operates": {"qubits": [14, 11]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 4]}, "purpose": "cross-resonance", "type": "control"}, "u30": {"operates": {"qubits": [14, 13]}, "purpose": "cross-resonance", "type": "control"}, "u31": {"operates": {"qubits": [14, 16]}, "purpose": "cross-resonance", "type": "control"}, "u32": {"operates": {"qubits": [15, 12]}, "purpose": "cross-resonance", "type": "control"}, "u33": {"operates": {"qubits": [15, 18]}, "purpose": "cross-resonance", "type": "control"}, "u34": {"operates": {"qubits": [16, 14]}, "purpose": "cross-resonance", "type": "control"}, "u35": {"operates": {"qubits": [16, 19]}, "purpose": "cross-resonance", "type": "control"}, "u36": {"operates": {"qubits": [17, 18]}, "purpose": "cross-resonance", "type": "control"}, "u37": {"operates": {"qubits": [18, 15]}, "purpose": "cross-resonance", "type": "control"}, "u38": {"operates": {"qubits": [18, 17]}, "purpose": "cross-resonance", "type": "control"}, "u39": {"operates": {"qubits": [18, 21]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u40": {"operates": {"qubits": [19, 16]}, "purpose": 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"purpose": "cross-resonance", "type": "control"}, "u51": {"operates": {"qubits": [24, 25]}, "purpose": "cross-resonance", "type": "control"}, "u52": {"operates": {"qubits": [25, 22]}, "purpose": "cross-resonance", "type": "control"}, "u53": {"operates": {"qubits": [25, 24]}, "purpose": "cross-resonance", "type": "control"}, "u54": {"operates": {"qubits": [25, 26]}, "purpose": "cross-resonance", "type": "control"}, "u55": {"operates": {"qubits": [26, 25]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [3, 5]}, "purpose": "cross-resonance", "type": "control"}, "u8": {"operates": {"qubits": [4, 1]}, "purpose": "cross-resonance", "type": "control"}, "u9": {"operates": {"qubits": [4, 7]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/toronto/defs_toronto.json 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"name": "zz_1213", "unit": "GHz", "value": -4.502599215449801e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_1012", "unit": "GHz", "value": 0.0016200594295947967}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_1012", "unit": "GHz", "value": -4.224208546558069e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_2526", "unit": "GHz", "value": 0.001710532749320006}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_2526", "unit": "GHz", "value": -4.4348252028818594e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_1518", "unit": "GHz", "value": 0.0015770817183766823}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_1518", "unit": "GHz", "value": -3.0502390392156902e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_710", "unit": "GHz", "value": 0.0015115579240557767}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_710", "unit": "GHz", "value": -3.8776590651841486e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_811", "unit": "GHz", "value": 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"GHz", "value": -3.556167040689022e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_01", "unit": "GHz", "value": 0.00173217160437763}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_01", "unit": "GHz", "value": -6.44337004627001e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_2225", "unit": "GHz", "value": 0.0015034685213441488}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_2225", "unit": "GHz", "value": -2.812529794432747e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_1215", "unit": "GHz", "value": 0.0015425917675162455}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_1215", "unit": "GHz", "value": -3.720100923690433e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_1416", "unit": "GHz", "value": 0.0015295104306202074}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_1416", "unit": "GHz", "value": -3.0178344604531188e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_1314", "unit": "GHz", "value": 0.0016233955442070795}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_1314", "unit": "GHz", "value": -3.562994761543791e-05}, {"date": "2021-03-15T14:16:30-04:00", "name": "jq_2425", "unit": "GHz", "value": 0.0015774383469196662}, {"date": "2021-03-15T14:16:30-04:00", "name": "zz_2425", "unit": "GHz", "value": -3.4000938376750916e-05}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/valencia/conf_valencia.json b/qiskit/test/mock/backends/valencia/conf_valencia.json index 07713a100a82..c37d875e88a9 100644 --- a/qiskit/test/mock/backends/valencia/conf_valencia.json +++ b/qiskit/test/mock/backends/valencia/conf_valencia.json @@ -1 +1 @@ -{"backend_name": "ibmq_valencia", "backend_version": "1.4.3", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["acquire", "measure", "id", "delay", "shiftf", "play", "x", "u1", "u3", "setf", "reset", "cx", "u2"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "Giraffe", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "5 qubit device Valencia", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["u1", "u0", "m0", "d0"], ["m1", "u1", "u3", "u5", "u4", "u0", "d1", "u2"], ["u4", "d2", "m2", "u2"], ["d3", "u7", "m3", "u3", "u5", "u6"], ["u7", "d4", "u6", "m4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.243892189846984, 5.243892189846984], [4.160936066726643, 5.160936066726644], [4.292488022012422, 5.292488022012422], [4.33441147240836, 5.33441147240836], [4.459519270885547, 5.459519270885547]], "meas_lo_range": [[6.791423281, 7.791423281], [6.564734703, 7.564734703], [6.709148181000001, 7.709148181000001], [6.637515922, 7.637515922], [6.484029338, 7.484029338]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_centroid", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -1.9720435789832658, "delta1": -1.9511571834532067, "delta2": -1.9566845436144944, "delta3": -1.9453422952824684, "delta4": -1.9444980545316486, "jq0q1": 0.013906241266973624, "jq1q2": 0.017963657950435953, "jq1q3": 0.00795166827537871, "jq3q4": 0.016099357950517968, "omegad0": 0.9836987764918446, "omegad1": 1.2728023749377348, "omegad2": 1.1514881025887826, "omegad3": 1.2869777790278396, "omegad4": 1.3322152940099554, "wq0": 29.806760288274287, "wq1": 29.285416945464757, "wq2": 30.112118954999485, "wq3": 30.375562684918123, "wq4": 31.161591324419675}}} \ No newline at end of file +{"backend_name": "ibmq_valencia", "backend_version": "1.4.6", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["cx", "x", "acquire", "play", "measure", "u3", "reset", "u1", "delay", "u2", "shiftf", "setf", "sx", "rz", "id"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "Giraffe", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "5 qubit device Valencia", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "multi_meas_enabled": false, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "quantum_volume": 16, "qubit_channel_mapping": [["u1", "u0", "d0", "m0"], ["d1", "u3", "u1", "u0", "u2", "u4", "m1", "u5"], ["u4", "d2", "u2", "m2"], ["u7", "m3", "u6", "u3", "d3", "u5"], ["u7", "d4", "u6", "m4"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.2438924401312725, 5.243892440131272], [4.160914072609433, 5.160914072609433], [4.292493277895261, 5.292493277895261], [4.334410370035304, 5.334410370035304], [4.459527978256725, 5.459527978256725]], "meas_lo_range": [[6.791423281, 7.791423281], [6.564734703, 7.564734703], [6.709148181000001, 7.709148181000001], [6.637515922, 7.637515922], [6.484029338, 7.484029338]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_centroid", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -1.9720435789832658, "delta1": -1.9511571834532067, "delta2": -1.9566845436144944, "delta3": -1.9453422952824684, "delta4": -1.9444980545316486, "jq0q1": 0.013906241266973624, "jq1q2": 0.017963657950435953, "jq1q3": 0.00795166827537871, "jq3q4": 0.016099357950517968, "omegad0": 0.9825836701756131, "omegad1": 1.271368863631984, "omegad2": 1.2356947934137237, "omegad3": 1.3789730375063602, "omegad4": 1.438558810972522, "wq0": 29.80686268739362, "wq1": 29.285324157191372, "wq2": 30.112150492391393, "wq3": 30.37551037282228, "wq4": 31.16161551232277}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}} \ No newline at end of file diff --git a/qiskit/test/mock/backends/valencia/defs_valencia.json b/qiskit/test/mock/backends/valencia/defs_valencia.json index 9d4bd2e8407a..ce28e33be66d 100644 --- a/qiskit/test/mock/backends/valencia/defs_valencia.json +++ b/qiskit/test/mock/backends/valencia/defs_valencia.json @@ -1 +1 @@ -{"qubit_freq_est": [4.743892189846984, 4.660936066726644, 4.792488022012422, 4.83441147240836, 4.959519270885547], "meas_freq_est": [7.291423281, 7.064734703, 7.209148181000001, 7.137515922, 6.984029338], "buffer": 0, "pulse_library": [{"name": "QId_d0", "samples": [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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a/qiskit/test/mock/backends/vigo/conf_vigo.json b/qiskit/test/mock/backends/vigo/conf_vigo.json index 6c22351166ec..2ab490734d5e 100644 --- a/qiskit/test/mock/backends/vigo/conf_vigo.json +++ b/qiskit/test/mock/backends/vigo/conf_vigo.json @@ -1 +1 @@ -{"backend_name": "ibmq_vigo", "backend_version": "1.3.3", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["u1", "u2", "u3", "cx", "id", "x", "measure", "delay", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "Giraffe", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "5 qubit device Vigo", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "meas_map": [[0, 1, 2, 3, 4]], "multi_meas_enabled": false, "quantum_volume": 16, "url": "None", "allow_object_storage": true} \ No newline at end of file +{"backend_name": "ibmq_vigo", "backend_version": "1.3.6", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["cx", "id", "delay", "measure", "reset", "rz", "sx", "u1", "u2", "u3", "x"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "Giraffe", "n_registers": 1, "credits_required": true, "online_date": "2019-07-03T04:00:00+00:00", "description": "5 qubit device Vigo", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "meas_map": [[0, 1, 2, 3, 4]], "multi_meas_enabled": false, "quantum_volume": 16, "url": "None", "allow_object_storage": true} \ No newline at end of file diff --git a/qiskit/test/mock/backends/vigo/props_vigo.json b/qiskit/test/mock/backends/vigo/props_vigo.json index b3a917c99bb6..f075cb53cfa7 100644 --- a/qiskit/test/mock/backends/vigo/props_vigo.json +++ b/qiskit/test/mock/backends/vigo/props_vigo.json @@ -1 +1 @@ -{"backend_name": "ibmq_vigo", "backend_version": "1.3.3", "last_update_date": "2020-12-13T17:03:48+09:00", "qubits": [[{"date": "2020-12-13T16:20:50+09:00", "name": "T1", "unit": "us", "value": 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"2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "id4"}, {"qubits": [0], "gate": "rz", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 0}], "name": "rz0"}, {"qubits": [1], "gate": "rz", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 0}], "name": "rz1"}, {"qubits": [2], "gate": "rz", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 0}], "name": "rz2"}, {"qubits": [3], "gate": "rz", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 0}], "name": "rz3"}, {"qubits": [4], "gate": "rz", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 0}], "name": "rz4"}, {"qubits": [0], "gate": "sx", "parameters": [{"date": "2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.0004135213478316029}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "sx0"}, {"qubits": [1], "gate": "sx", "parameters": [{"date": "2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.0005020255558466025}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "sx1"}, {"qubits": [2], "gate": "sx", "parameters": [{"date": "2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.00040033040197886486}, {"date": 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"2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.0005020255558466025}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x1"}, {"qubits": [2], "gate": "x", "parameters": [{"date": "2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.00040033040197886486}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x2"}, {"qubits": [3], "gate": "x", "parameters": [{"date": "2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.0006149355812506126}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x3"}, {"qubits": [4], "gate": "x", "parameters": [{"date": "2021-01-20T02:35:09-05:00", "name": "gate_error", "unit": "", "value": 0.0006307673923554075}, {"date": "2021-01-20T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 35.55555555555556}], "name": "x4"}, {"qubits": [3, 4], "gate": "cx", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0.00713013415297073}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 270.22222222222223}], "name": "cx3_4"}, {"qubits": [4, 3], "gate": "cx", "parameters": [{"date": "2021-01-20T03:30:10-05:00", "name": "gate_error", "unit": "", "value": 0.00713013415297073}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 305.77777777777777}], "name": "cx4_3"}, {"qubits": [3, 1], "gate": "cx", "parameters": [{"date": "2021-01-20T03:16:21-05:00", "name": "gate_error", "unit": "", "value": 0.0092971260000492}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 462.2222222222222}], "name": "cx3_1"}, {"qubits": [1, 3], "gate": "cx", "parameters": [{"date": "2021-01-20T03:16:21-05:00", "name": "gate_error", "unit": "", "value": 0.0092971260000492}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 497.77777777777777}], "name": "cx1_3"}, {"qubits": [1, 2], "gate": "cx", "parameters": [{"date": "2021-01-20T03:01:54-05:00", "name": "gate_error", "unit": "", "value": 0.006589629429362032}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 227.55555555555554}], "name": "cx1_2"}, {"qubits": [2, 1], "gate": "cx", "parameters": [{"date": "2021-01-20T03:01:54-05:00", "name": "gate_error", "unit": "", "value": 0.006589629429362032}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 263.1111111111111}], "name": "cx2_1"}, {"qubits": [0, 1], "gate": "cx", "parameters": [{"date": "2021-01-20T02:51:37-05:00", "name": "gate_error", "unit": "", "value": 0.012012477900732316}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 519.1111111111111}], "name": "cx0_1"}, {"qubits": [1, 0], "gate": "cx", "parameters": [{"date": "2021-01-20T02:51:37-05:00", "name": "gate_error", "unit": "", "value": 0.012012477900732316}, {"date": "2021-01-17T03:30:10-05:00", "name": "gate_length", "unit": "ns", "value": 554.6666666666666}], "name": "cx1_0"}], "general": [{"date": "2021-01-20T03:30:10-05:00", "name": "jq_01", "unit": "GHz", "value": 0.0026561266946048515}, {"date": "2021-01-20T03:30:10-05:00", "name": "zz_01", "unit": "GHz", "value": -0.0001184033408557246}, {"date": "2021-01-20T03:30:10-05:00", "name": "jq_13", "unit": "GHz", "value": 0.0014472674400262551}, {"date": "2021-01-20T03:30:10-05:00", "name": "zz_13", "unit": "GHz", "value": -3.361304564463225e-05}, {"date": "2021-01-20T03:30:10-05:00", "name": "jq_34", "unit": "GHz", "value": 0.002198866111884803}, {"date": "2021-01-20T03:30:10-05:00", "name": "zz_34", "unit": "GHz", "value": -6.42498334595851e-05}, {"date": "2021-01-20T03:30:10-05:00", "name": "jq_12", "unit": "GHz", "value": 0.0034704225601167745}, {"date": "2021-01-20T03:30:10-05:00", "name": "zz_12", "unit": "GHz", "value": -0.000179053578022909}]} \ No newline at end of file diff --git a/qiskit/test/mock/backends/yorktown/conf_yorktown.json b/qiskit/test/mock/backends/yorktown/conf_yorktown.json index 3e6132120bea..3e2be0e219af 100644 --- a/qiskit/test/mock/backends/yorktown/conf_yorktown.json +++ b/qiskit/test/mock/backends/yorktown/conf_yorktown.json @@ -1 +1 @@ -{"backend_name": "ibmqx2", "backend_version": "2.2.5", "n_qubits": 5, "basis_gates": ["id", "u1", "u2", "u3", "cx"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0,0,0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u1", "parameters": ["lambda"], "qasm_def": "gate u1(lambda) q { U(0,0,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u2", "parameters": ["phi", "lambda"], "qasm_def": "gate u2(phi,lambda) q { U(pi/2,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "u3", "parameters": ["theta", "phi", "lambda"], "qasm_def": "gate u3(theta,phi,lambda) q { U(theta,phi,lambda) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q1,q2 { CX q1,q2; }", "coupling_map": [[0, 1], [0, 2], [1, 0], [1, 2], [2, 0], [2, 1], [2, 3], [2, 4], [3, 2], [3, 4], [4, 2], [4, 3]]}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [0, 2], [1, 0], [1, 2], [2, 0], [2, 1], [2, 3], [2, 4], [3, 2], [3, 4], [4, 2], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["u1", "u2", "u3", "cx", "id", "x", "measure", "delay", "reset"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "sparrow", "n_registers": 1, "credits_required": true, "online_date": "2017-01-24T05:00:00+00:00", "description": "5 qubit device", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "allow_q_object": true, "meas_map": [[0, 1, 2, 3, 4]], "multi_meas_enabled": false, "quantum_volume": 8, "url": "None", "allow_object_storage": true} \ No newline at end of file +{"backend_name": "ibmqx2", "backend_version": "2.3.3", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [0, 2], [1, 0], [1, 2], [2, 0], [2, 1], [2, 3], [2, 4], [3, 2], [3, 4], [4, 2], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": false, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [0, 2], [1, 0], [1, 2], [2, 0], [2, 1], [2, 3], [2, 4], [3, 2], [3, 4], [4, 2], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["rz", "sx", "id", "reset", "delay", "play", "u1", "measure", "acquire", "u2", "cx", "setf", "shiftf", "u3", "x"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 75, "sample_name": "family: Canary, revision: 1", "n_registers": 1, "credits_required": true, "online_date": "2017-01-24T05:00:00+00:00", "description": "5 qubit device Yorktown", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Canary", "revision": 1}, "acquisition_latency": [], "allow_q_object": true, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [0, 2]}, "purpose": "cross-resonance", "type": "control"}, "u10": {"operates": {"qubits": [4, 2]}, "purpose": "cross-resonance", "type": "control"}, "u11": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 0]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [2, 3]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [2, 4]}, "purpose": "cross-resonance", "type": "control"}, "u8": {"operates": {"qubits": [3, 2]}, "purpose": "cross-resonance", "type": "control"}, "u9": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}}, "conditional_latency": [], "discriminators": ["quadratic_discriminator", "hw_centroid", "linear_discriminator"], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) + J_{2,3}(\\sigma_{2}^{+}\\sigma_{3}^{-}+\\sigma_{2}^{-}\\sigma_{3}^{+}) + J_{2,4}(\\sigma_{2}^{+}\\sigma_{4}^{-}+\\sigma_{2}^{-}\\sigma_{4}^{+}) \\\\ & + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{0,2}(\\sigma_{0}^{+}\\sigma_{2}^{-}+\\sigma_{0}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t)+U_{1}^{(0,2)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{2}^{(1,0)}(t)+U_{3}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{6}^{(2,3)}(t)+U_{5}^{(2,1)}(t)+U_{7}^{(2,4)}(t)+U_{4}^{(2,0)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{8}^{(3,2)}(t)+U_{9}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{11}^{(4,3)}(t)+U_{10}^{(4,2)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "jq2q3*Sp2*Sm3", "jq2q3*Sm2*Sp3", "jq2q4*Sp2*Sm4", "jq2q4*Sm2*Sp4", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq0q2*Sp0*Sm2", "jq0q2*Sm0*Sp2", "omegad1*X0||U0", "omegad2*X0||U1", "omegad0*X1||U2", "omegad2*X1||U3", "omegad3*X2||U6", "omegad1*X2||U5", "omegad4*X2||U7", "omegad0*X2||U4", "omegad2*X3||U8", "omegad4*X3||U9", "omegad3*X4||U11", "omegad2*X4||U10"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.078515989791283, "delta1": -2.076140198460304, "delta2": -2.3632544243955147, "delta3": -2.071793501418874, "delta4": -2.092928090491978, "jq0q1": 0.011968734726718661, "jq0q2": 0.01143731530238952, "jq1q2": 0.0077637124867075335, "jq2q3": 0.011434086611531646, "jq2q4": 0.011382837107272241, "jq3q4": 0.012622615872488169, "omegad0": 0.31227678627828565, "omegad1": 0.3287329454702026, "omegad2": 0.2641052707637787, "omegad3": 0.24124632745223779, "omegad4": 0.42046738820058555, "wq0": 33.18944334684542, "wq1": 32.97119189144383, "wq2": 31.62559984414466, "wq3": 33.25055909747699, "wq4": 31.908861733581208}}, "meas_kernels": ["hw_boxcar"], "meas_levels": [1, 2], "meas_lo_range": [[6.030433052e+18, 7.030433052e+18], [5.981651108e+18, 6.981651108e+18], [5.93654928e+18, 6.93654928e+18], [6.078886966e+18, 7.078886966e+18], [6.030066921e+18, 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[{"date": "2021-03-15T01:02:20-04:00", "name": "jq_01", "unit": "GHz", "value": 0.0019048832943129}, {"date": "2021-03-15T01:02:20-04:00", "name": "zz_01", "unit": "GHz", "value": -4.4398488162847355e-05}, {"date": "2021-03-15T01:02:20-04:00", "name": "jq_12", "unit": "GHz", "value": 0.0012356332190037748}, {"date": "2021-03-15T01:02:20-04:00", "name": "zz_12", "unit": "GHz", "value": -3.143188075660228e-05}, {"date": "2021-03-15T01:02:20-04:00", "name": "jq_02", "unit": "GHz", "value": 0.0018203052660758679}, {"date": "2021-03-15T01:02:20-04:00", "name": "zz_02", "unit": "GHz", "value": -9.193504368395755e-05}, {"date": "2021-03-15T01:02:20-04:00", "name": "jq_23", "unit": "GHz", "value": 0.0018197914039661215}, {"date": "2021-03-15T01:02:20-04:00", "name": "zz_23", "unit": "GHz", "value": -0.00010375981304385374}, {"date": "2021-03-15T01:02:20-04:00", "name": "jq_34", "unit": "GHz", "value": 0.002008951710856709}, {"date": "2021-03-15T01:02:20-04:00", "name": "zz_34", "unit": "GHz", "value": -8.438162979241823e-05}, {"date": "2021-03-15T01:02:20-04:00", "name": "jq_24", "unit": "GHz", "value": 0.0018116347920322281}, {"date": "2021-03-15T01:02:20-04:00", "name": "zz_24", "unit": "GHz", "value": -3.837006496679632e-05}]} \ No newline at end of file diff --git a/releasenotes/notes/fix-configuration-channels-dumping-189df07a7aaf0742.yaml b/releasenotes/notes/fix-configuration-channels-dumping-189df07a7aaf0742.yaml new file mode 100644 index 000000000000..f27e0554d904 --- /dev/null +++ b/releasenotes/notes/fix-configuration-channels-dumping-189df07a7aaf0742.yaml @@ -0,0 +1,4 @@ +--- +fixes: + - | + Fixes a bug where the "channels" section of the pulse backend configuration was not being dumped by ``to_dict``. diff --git a/test/python/algorithms/test_measure_error_mitigation.py b/test/python/algorithms/test_measure_error_mitigation.py index 18393b35ea4a..6bc18b64d7ad 100644 --- a/test/python/algorithms/test_measure_error_mitigation.py +++ b/test/python/algorithms/test_measure_error_mitigation.py @@ -121,7 +121,7 @@ def test_measurement_error_mitigation_with_vqe(self): result = vqe.compute_minimum_eigenvalue(operator=h2_hamiltonian) self.assertGreater(quantum_instance.time_taken, 0.) quantum_instance.reset_execution_results() - self.assertAlmostEqual(result.eigenvalue.real, -1.86, places=2) + self.assertAlmostEqual(result.eigenvalue.real, -1.86, delta=0.05) if __name__ == '__main__': diff --git a/test/python/circuit/test_scheduled_circuit.py b/test/python/circuit/test_scheduled_circuit.py index 1e32d5c4869e..a870b093cb3d 100644 --- a/test/python/circuit/test_scheduled_circuit.py +++ b/test/python/circuit/test_scheduled_circuit.py @@ -26,6 +26,7 @@ @ddt class TestScheduledCircuit(QiskitTestCase): """Test scheduled circuit (quantum circuit with duration).""" + def setUp(self): super().setUp() self.backend_with_dt = FakeParis() @@ -46,17 +47,17 @@ def test_schedule_circuit_when_backend_tells_dt(self): self.assertEqual(sc.data[1][0].name, "delay") self.assertEqual(sc.data[1][0].duration, 450) self.assertEqual(sc.data[1][0].unit, 'dt') - self.assertEqual(sc.data[2][0].name, "u2") - self.assertEqual(sc.data[2][0].duration, 160) + self.assertEqual(sc.data[2][0].name, "rz") + self.assertEqual(sc.data[2][0].duration, 0) self.assertEqual(sc.data[2][0].unit, 'dt') - self.assertEqual(sc.data[3][0].name, "delay") - self.assertEqual(sc.data[3][0].duration, 450450) - self.assertEqual(sc.data[3][0].unit, 'dt') + self.assertEqual(sc.data[5][0].name, "delay") + self.assertEqual(sc.data[5][0].duration, 450450) + self.assertEqual(sc.data[5][0].unit, 'dt') qobj = assemble(sc, self.backend_with_dt) self.assertEqual(qobj.experiments[0].instructions[1].name, "delay") self.assertEqual(qobj.experiments[0].instructions[1].params[0], 450) - self.assertEqual(qobj.experiments[0].instructions[3].name, "delay") - self.assertEqual(qobj.experiments[0].instructions[3].params[0], 450450) + self.assertEqual(qobj.experiments[0].instructions[5].name, "delay") + self.assertEqual(qobj.experiments[0].instructions[5].params[0], 450450) def test_schedule_circuit_when_transpile_option_tells_dt(self): """dt is known to transpiler by transpile option""" @@ -71,12 +72,12 @@ def test_schedule_circuit_when_transpile_option_tells_dt(self): self.assertEqual(sc.data[1][0].name, "delay") self.assertEqual(sc.data[1][0].duration, 450) self.assertEqual(sc.data[1][0].unit, 'dt') - self.assertEqual(sc.data[2][0].name, "u2") - self.assertEqual(sc.data[2][0].duration, 160) + self.assertEqual(sc.data[2][0].name, "rz") + self.assertEqual(sc.data[2][0].duration, 0) self.assertEqual(sc.data[2][0].unit, 'dt') - self.assertEqual(sc.data[3][0].name, "delay") - self.assertEqual(sc.data[3][0].duration, 450450) - self.assertEqual(sc.data[3][0].unit, 'dt') + self.assertEqual(sc.data[5][0].name, "delay") + self.assertEqual(sc.data[5][0].duration, 450450) + self.assertEqual(sc.data[5][0].unit, 'dt') def test_schedule_circuit_in_sec_when_no_one_tells_dt(self): """dt is unknown and all delays and gate times are in SI""" @@ -91,12 +92,12 @@ def test_schedule_circuit_in_sec_when_no_one_tells_dt(self): self.assertEqual(sc.data[1][0].name, "delay") self.assertAlmostEqual(sc.data[1][0].duration, 1.0e-7) self.assertEqual(sc.data[1][0].unit, 's') - self.assertEqual(sc.data[2][0].name, "u2") + self.assertEqual(sc.data[2][0].name, "rz") self.assertAlmostEqual(sc.data[2][0].duration, 160*self.dt) self.assertEqual(sc.data[2][0].unit, 's') - self.assertEqual(sc.data[3][0].name, "delay") - self.assertAlmostEqual(sc.data[3][0].duration, 1.0e-4+1.0e-7) - self.assertEqual(sc.data[3][0].unit, 's') + self.assertEqual(sc.data[5][0].name, "delay") + self.assertAlmostEqual(sc.data[5][0].duration, 1.0e-4+1.0e-7) + self.assertEqual(sc.data[5][0].unit, 's') with self.assertRaises(QiskitError): assemble(sc, self.backend_without_dt) @@ -125,7 +126,7 @@ def test_transpile_t1_circuit(self): qc.delay(1000, 0, unit='ns') # 4500 [dt] qc.measure_all() # 19584 [dt] scheduled = transpile(qc, backend=self.backend_with_dt, scheduling_method='alap') - self.assertEqual(scheduled.duration, 24404) + self.assertEqual(scheduled.duration, 23060) def test_transpile_delay_circuit_with_backend(self): qc = QuantumCircuit(2) @@ -133,7 +134,7 @@ def test_transpile_delay_circuit_with_backend(self): qc.delay(100, 1, unit='ns') # 450 [dt] qc.cx(0, 1) # 1760 [dt] scheduled = transpile(qc, backend=self.backend_with_dt, scheduling_method='alap') - self.assertEqual(scheduled.duration, 2210) + self.assertEqual(scheduled.duration, 2082) def test_transpile_delay_circuit_without_backend(self): qc = QuantumCircuit(2) @@ -164,7 +165,7 @@ def test_transpile_delay_circuit_without_scheduling_method(self): qc.delay(500, 1) qc.cx(0, 1) transpiled = transpile(qc, backend=self.backend_with_dt) - self.assertEqual(transpiled.duration, 2260) + self.assertEqual(transpiled.duration, 2132) def test_transpile_delay_circuit_without_scheduling_method_or_durs(self): qc = QuantumCircuit(2) @@ -227,7 +228,7 @@ def test_unit_seconds_when_using_backend_durations(self): backend=self.backend_with_dt, scheduling_method='alap' ) - self.assertEqual(scheduled.duration, 2260) + self.assertEqual(scheduled.duration, 2132) # update durations durations = InstructionDurations.from_backend(self.backend_with_dt) diff --git a/test/python/compiler/test_sequencer.py b/test/python/compiler/test_sequencer.py index 43ac7737fb29..861d8e38f846 100644 --- a/test/python/compiler/test_sequencer.py +++ b/test/python/compiler/test_sequencer.py @@ -15,7 +15,7 @@ """Tests basic functionality of the sequence function""" import unittest -from qiskit import QuantumCircuit +from qiskit import QuantumCircuit, pulse from qiskit.compiler import sequence, transpile, schedule from qiskit.pulse.transforms import pad from qiskit.test.mock import FakeParis @@ -40,7 +40,7 @@ def test_transpile_and_sequence_agree_with_schedule(self): qc.measure_all() sc = transpile(qc, self.backend, scheduling_method='alap') actual = sequence(sc, self.backend) - expected = schedule(qc.decompose(), self.backend) + expected = schedule(transpile(qc, self.backend), self.backend) self.assertEqual(actual, pad(expected)) def test_transpile_and_sequence_agree_with_schedule_for_circuit_with_delay(self): @@ -51,8 +51,9 @@ def test_transpile_and_sequence_agree_with_schedule_for_circuit_with_delay(self) qc.measure(0, 0) sc = transpile(qc, self.backend, scheduling_method='alap') actual = sequence(sc, self.backend) - expected = schedule(qc.decompose(), self.backend) - self.assertEqual(actual, pad(expected)) + expected = schedule(transpile(qc, self.backend), self.backend) + self.assertEqual(actual.exclude(instruction_types=[pulse.Delay]), + expected.exclude(instruction_types=[pulse.Delay])) @unittest.skip("not yet determined if delays on ancilla should be removed or not") def test_transpile_and_sequence_agree_with_schedule_for_circuits_without_measures(self): @@ -61,5 +62,5 @@ def test_transpile_and_sequence_agree_with_schedule_for_circuits_without_measure qc.cx(0, 1) sc = transpile(qc, self.backend, scheduling_method='alap') actual = sequence(sc, self.backend) - expected = schedule(qc.decompose(), self.backend) + expected = schedule(transpile(qc, self.backend), self.backend) self.assertEqual(actual, pad(expected)) diff --git a/test/python/providers/test_faulty_backend.py b/test/python/providers/test_faulty_backend.py index 35494b3e28fa..be1eb312a666 100644 --- a/test/python/providers/test_faulty_backend.py +++ b/test/python/providers/test_faulty_backend.py @@ -47,7 +47,7 @@ def test_faulty_gates(self): gates = self.backend.properties().faulty_gates() self.assertEqual(len(gates), 2) self.assertEqual([gate.gate for gate in gates], ['cx', 'cx']) - self.assertEqual([gate.qubits for gate in gates], [[1, 3], [3, 1]]) + self.assertEqual(sorted([gate.qubits for gate in gates]), [[1, 3], [3, 1]]) class FaultyGate01BackendTestCase(QiskitTestCase): @@ -65,4 +65,4 @@ def test_faulty_gates(self): gates = self.backend.properties().faulty_gates() self.assertEqual(len(gates), 2) self.assertEqual([gate.gate for gate in gates], ['cx', 'cx']) - self.assertEqual([gate.qubits for gate in gates], [[0, 1], [1, 0]]) + self.assertEqual(sorted([gate.qubits for gate in gates]), [[0, 1], [1, 0]])
Mock devices have not been updated to match new hardware basis gateset <!-- ⚠️ If you do not respect this template, your issue will be closed --> <!-- ⚠️ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: N/A - **Operating system**: N/A ### What is the current behavior? Current defined mock (Fake) device configurations in `qiskit.test.mock.backends`, for example yorktown: https://github.com/Qiskit/qiskit-terra/blob/4d3ed6a3e972a79341ebf305f4c4d7f25bb256fb/qiskit/test/mock/backends/yorktown/conf_yorktown.json#L1 Are still using `u1/u2/u3` gates instead of the new basis gates reported in slack: `['id', 'rz', 'sx', 'x', 'cx']` From the slack channel the following backends should be using this new basis gateset: ``` ibmq_5_yorktown ibmq_16_melbourne ibmq_vigo ibmq_ourense ibmq_armonk ibmq_valencia ibmq_athens ibmq_santiago ``` ### Steps to reproduce the problem N/A ### What is the expected behavior? `qiskit/test/mock/backends/conf_yorktown.json` and others listed above should have the correct basis gateset. ### Suggested solutions Update the appropriate json files.
fossasia__open-event-server-6285
[ { "content": "from datetime import datetime\n\nfrom app.api.helpers.db import save_to_db, get_count\nfrom app.api.helpers.exceptions import ConflictException\nfrom app.api.helpers.files import make_frontend_url\nfrom app.api.helpers.mail import send_email_to_attendees\nfrom app.api.helpers.notification import send_notif_to_attendees, send_notif_ticket_purchase_organizer\nfrom app.api.helpers.order import delete_related_attendees_for_order, create_pdf_tickets_for_holder\nfrom app.api.helpers.payment import StripePaymentsManager, PayPalPaymentsManager\nfrom app.models import db\nfrom app.models.ticket_fee import TicketFees\nfrom app.models.ticket_holder import TicketHolder\n\n\nclass TicketingManager(object):\n \"\"\"All ticketing and orders related helper functions\"\"\"\n\n @staticmethod\n def get_order_expiry():\n return 10\n\n @staticmethod\n def match_discount_quantity(discount_code, ticket_holders=None):\n qty = 0\n old_holders = get_count(TicketHolder.query.filter(TicketHolder.ticket_id.in_(discount_code.tickets.split(\",\"))))\n\n for holder in ticket_holders:\n ticket_holder = TicketHolder.query.filter_by(id=holder).one()\n if ticket_holder.ticket.id in discount_code.tickets.split(\",\"):\n qty += 1\n if (qty + old_holders) <= discount_code.tickets_number and \\\n discount_code.min_quantity <= qty <= discount_code.max_quantity:\n return True\n\n return False\n\n @staticmethod\n def calculate_update_amount(order):\n discount = None\n if order.discount_code_id:\n discount = order.discount_code\n # Access code part will be done ticket_holders API\n amount = 0\n total_discount = 0\n fees = TicketFees.query.filter_by(currency=order.event.payment_currency).first()\n\n for order_ticket in order.order_tickets:\n with db.session.no_autoflush:\n if order_ticket.ticket.is_fee_absorbed or not fees:\n ticket_amount = (order_ticket.ticket.price * order_ticket.quantity)\n amount += (order_ticket.ticket.price * order_ticket.quantity)\n else:\n order_fee = fees.service_fee * (order_ticket.ticket.price * order_ticket.quantity) / 100\n if order_fee > fees.maximum_fee:\n ticket_amount = (order_ticket.ticket.price * order_ticket.quantity) + fees.maximum_fee\n amount += (order_ticket.ticket.price * order_ticket.quantity) + fees.maximum_fee\n else:\n ticket_amount = (order_ticket.ticket.price * order_ticket.quantity) + order_fee\n amount += (order_ticket.ticket.price * order_ticket.quantity) + order_fee\n\n if discount and str(order_ticket.ticket.id) in discount.tickets.split(\",\"):\n if discount.type == \"amount\":\n total_discount += discount.value * order_ticket.quantity\n else:\n total_discount += discount.value * ticket_amount / 100\n\n if discount:\n if discount.type == \"amount\":\n order.amount = max(amount - total_discount, 0)\n elif discount.type == \"percent\":\n order.amount = amount - (discount.value * amount / 100.0)\n else:\n order.amount = amount\n save_to_db(order)\n return order\n\n @staticmethod\n def charge_stripe_order_payment(order, token_id):\n \"\"\"\n Charge the user through Stripe\n :param order: Order for which to charge for\n :param token_id: Stripe token\n :return:\n \"\"\"\n # save the stripe token with the order\n order.stripe_token = token_id\n save_to_db(order)\n\n # charge the user\n try:\n charge = StripePaymentsManager.capture_payment(order)\n except ConflictException as e:\n # payment failed hence expire the order\n order.status = 'expired'\n save_to_db(order)\n\n # delete related attendees to unlock the tickets\n delete_related_attendees_for_order(order)\n\n raise e\n\n # charge.paid is true if the charge succeeded, or was successfully authorized for later capture.\n if charge.paid:\n # update the order in the db.\n order.paid_via = charge.source.object\n order.brand = charge.source.brand\n order.exp_month = charge.source.exp_month\n order.exp_year = charge.source.exp_year\n order.last4 = charge.source.last4\n order.transaction_id = charge.id\n order.status = 'completed'\n order.completed_at = datetime.utcnow()\n save_to_db(order)\n\n # create tickets.\n create_pdf_tickets_for_holder(order)\n\n # send email and notifications.\n send_email_to_attendees(order, current_user.id)\n send_notif_to_attendees(order, current_user.id)\n\n order_url = make_frontend_url(path='/orders/{identifier}'.format(identifier=order.identifier))\n for organizer in order.event.organizers:\n send_notif_ticket_purchase_organizer(organizer, order.invoice_number, order_url, order.event.name,\n order.id)\n if order.event.owner:\n send_notif_ticket_purchase_organizer(order.event.owner, order.invoice_number, order_url,\n order.event.name, order.id)\n\n return True, 'Charge successful'\n else:\n # payment failed hence expire the order\n order.status = 'expired'\n save_to_db(order)\n\n # delete related attendees to unlock the tickets\n delete_related_attendees_for_order(order)\n\n # return the failure message from stripe.\n return False, charge.failure_message\n\n @staticmethod\n def charge_paypal_order_payment(order, paypal_payer_id, paypal_payment_id):\n \"\"\"\n Charge the user through paypal.\n :param order: Order for which to charge for.\n :param paypal_payment_id: payment_id\n :param paypal_payer_id: payer_id\n :return:\n \"\"\"\n\n # save the paypal payment_id with the order\n order.paypal_token = paypal_payment_id\n save_to_db(order)\n\n # create the transaction.\n status, error = PayPalPaymentsManager.execute_payment(paypal_payer_id, paypal_payment_id)\n\n if status:\n # successful transaction hence update the order details.\n order.paid_via = 'paypal'\n order.status = 'completed'\n order.transaction_id = paypal_payment_id\n order.completed_at = datetime.utcnow()\n save_to_db(order)\n\n # create tickets\n create_pdf_tickets_for_holder(order)\n\n # send email and notifications\n send_email_to_attendees(order, order.user_id)\n send_notif_to_attendees(order, order.user_id)\n\n order_url = make_frontend_url(path='/orders/{identifier}'.format(identifier=order.identifier))\n for organizer in order.event.organizers:\n send_notif_ticket_purchase_organizer(organizer, order.invoice_number, order_url, order.event.name,\n order.id)\n if order.event.owner:\n send_notif_ticket_purchase_organizer(order.event.owner, order.invoice_number, order_url,\n order.event.name, order.id)\n\n return True, 'Charge successful'\n else:\n # payment failed hence expire the order\n order.status = 'expired'\n save_to_db(order)\n\n # delete related attendees to unlock the tickets\n delete_related_attendees_for_order(order)\n\n # return the error message from Paypal\n return False, error\n", "path": "app/api/helpers/ticketing.py" } ]
[ { "content": "from datetime import datetime\n\nfrom app.api.helpers.db import save_to_db, get_count\nfrom app.api.helpers.exceptions import ConflictException\nfrom app.api.helpers.files import make_frontend_url\nfrom app.api.helpers.mail import send_email_to_attendees\nfrom app.api.helpers.notification import send_notif_to_attendees, send_notif_ticket_purchase_organizer\nfrom app.api.helpers.order import delete_related_attendees_for_order, create_pdf_tickets_for_holder\nfrom app.api.helpers.payment import StripePaymentsManager, PayPalPaymentsManager\nfrom app.models import db\nfrom app.models.ticket_fee import TicketFees\nfrom app.models.ticket_holder import TicketHolder\nfrom flask_jwt_extended import current_user\n\n\nclass TicketingManager(object):\n \"\"\"All ticketing and orders related helper functions\"\"\"\n\n @staticmethod\n def get_order_expiry():\n return 10\n\n @staticmethod\n def match_discount_quantity(discount_code, ticket_holders=None):\n qty = 0\n old_holders = get_count(TicketHolder.query.filter(TicketHolder.ticket_id.in_(discount_code.tickets.split(\",\"))))\n\n for holder in ticket_holders:\n ticket_holder = TicketHolder.query.filter_by(id=holder).one()\n if ticket_holder.ticket.id in discount_code.tickets.split(\",\"):\n qty += 1\n if (qty + old_holders) <= discount_code.tickets_number and \\\n discount_code.min_quantity <= qty <= discount_code.max_quantity:\n return True\n\n return False\n\n @staticmethod\n def calculate_update_amount(order):\n discount = None\n if order.discount_code_id:\n discount = order.discount_code\n # Access code part will be done ticket_holders API\n amount = 0\n total_discount = 0\n fees = TicketFees.query.filter_by(currency=order.event.payment_currency).first()\n\n for order_ticket in order.order_tickets:\n with db.session.no_autoflush:\n if order_ticket.ticket.is_fee_absorbed or not fees:\n ticket_amount = (order_ticket.ticket.price * order_ticket.quantity)\n amount += (order_ticket.ticket.price * order_ticket.quantity)\n else:\n order_fee = fees.service_fee * (order_ticket.ticket.price * order_ticket.quantity) / 100\n if order_fee > fees.maximum_fee:\n ticket_amount = (order_ticket.ticket.price * order_ticket.quantity) + fees.maximum_fee\n amount += (order_ticket.ticket.price * order_ticket.quantity) + fees.maximum_fee\n else:\n ticket_amount = (order_ticket.ticket.price * order_ticket.quantity) + order_fee\n amount += (order_ticket.ticket.price * order_ticket.quantity) + order_fee\n\n if discount and str(order_ticket.ticket.id) in discount.tickets.split(\",\"):\n if discount.type == \"amount\":\n total_discount += discount.value * order_ticket.quantity\n else:\n total_discount += discount.value * ticket_amount / 100\n\n if discount:\n if discount.type == \"amount\":\n order.amount = max(amount - total_discount, 0)\n elif discount.type == \"percent\":\n order.amount = amount - (discount.value * amount / 100.0)\n else:\n order.amount = amount\n save_to_db(order)\n return order\n\n @staticmethod\n def charge_stripe_order_payment(order, token_id):\n \"\"\"\n Charge the user through Stripe\n :param order: Order for which to charge for\n :param token_id: Stripe token\n :return:\n \"\"\"\n # save the stripe token with the order\n order.stripe_token = token_id\n save_to_db(order)\n\n # charge the user\n try:\n charge = StripePaymentsManager.capture_payment(order)\n except ConflictException as e:\n # payment failed hence expire the order\n order.status = 'expired'\n save_to_db(order)\n\n # delete related attendees to unlock the tickets\n delete_related_attendees_for_order(order)\n\n raise e\n\n # charge.paid is true if the charge succeeded, or was successfully authorized for later capture.\n if charge.paid:\n # update the order in the db.\n order.paid_via = charge.source.object\n order.brand = charge.source.brand\n order.exp_month = charge.source.exp_month\n order.exp_year = charge.source.exp_year\n order.last4 = charge.source.last4\n order.transaction_id = charge.id\n order.status = 'completed'\n order.completed_at = datetime.utcnow()\n save_to_db(order)\n\n # create tickets.\n create_pdf_tickets_for_holder(order)\n\n # send email and notifications.\n send_email_to_attendees(order, current_user.id)\n send_notif_to_attendees(order, current_user.id)\n\n order_url = make_frontend_url(path='/orders/{identifier}'.format(identifier=order.identifier))\n for organizer in order.event.organizers:\n send_notif_ticket_purchase_organizer(organizer, order.invoice_number, order_url, order.event.name,\n order.id)\n if order.event.owner:\n send_notif_ticket_purchase_organizer(order.event.owner, order.invoice_number, order_url,\n order.event.name, order.id)\n\n return True, 'Charge successful'\n else:\n # payment failed hence expire the order\n order.status = 'expired'\n save_to_db(order)\n\n # delete related attendees to unlock the tickets\n delete_related_attendees_for_order(order)\n\n # return the failure message from stripe.\n return False, charge.failure_message\n\n @staticmethod\n def charge_paypal_order_payment(order, paypal_payer_id, paypal_payment_id):\n \"\"\"\n Charge the user through paypal.\n :param order: Order for which to charge for.\n :param paypal_payment_id: payment_id\n :param paypal_payer_id: payer_id\n :return:\n \"\"\"\n\n # save the paypal payment_id with the order\n order.paypal_token = paypal_payment_id\n save_to_db(order)\n\n # create the transaction.\n status, error = PayPalPaymentsManager.execute_payment(paypal_payer_id, paypal_payment_id)\n\n if status:\n # successful transaction hence update the order details.\n order.paid_via = 'paypal'\n order.status = 'completed'\n order.transaction_id = paypal_payment_id\n order.completed_at = datetime.utcnow()\n save_to_db(order)\n\n # create tickets\n create_pdf_tickets_for_holder(order)\n\n # send email and notifications\n send_email_to_attendees(order, order.user_id)\n send_notif_to_attendees(order, order.user_id)\n\n order_url = make_frontend_url(path='/orders/{identifier}'.format(identifier=order.identifier))\n for organizer in order.event.organizers:\n send_notif_ticket_purchase_organizer(organizer, order.invoice_number, order_url, order.event.name,\n order.id)\n if order.event.owner:\n send_notif_ticket_purchase_organizer(order.event.owner, order.invoice_number, order_url,\n order.event.name, order.id)\n\n return True, 'Charge successful'\n else:\n # payment failed hence expire the order\n order.status = 'expired'\n save_to_db(order)\n\n # delete related attendees to unlock the tickets\n delete_related_attendees_for_order(order)\n\n # return the error message from Paypal\n return False, error\n", "path": "app/api/helpers/ticketing.py" } ]
diff --git a/app/api/helpers/ticketing.py b/app/api/helpers/ticketing.py index 14a02aeb61..4abb7055e2 100644 --- a/app/api/helpers/ticketing.py +++ b/app/api/helpers/ticketing.py @@ -10,6 +10,7 @@ from app.models import db from app.models.ticket_fee import TicketFees from app.models.ticket_holder import TicketHolder +from flask_jwt_extended import current_user class TicketingManager(object):
After successful charge, order redirection to success page fails ![image](https://user-images.githubusercontent.com/17252805/62267475-d32c0300-b449-11e9-853c-35930f1904df.png)
Project-MONAI__MONAI-1884
[ { "content": "# Copyright 2020 - 2021 MONAI Consortium\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n# http://www.apache.org/licenses/LICENSE-2.0\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\"\"\"\nA collection of dictionary-based wrappers around the \"vanilla\" transforms for utility functions\ndefined in :py:class:`monai.transforms.utility.array`.\n\nClass names are ended with 'd' to denote dictionary-based transforms.\n\"\"\"\n\nimport copy\nimport logging\nfrom typing import TYPE_CHECKING, Any, Callable, Dict, Hashable, List, Mapping, Optional, Sequence, Tuple, Union\n\nimport numpy as np\nimport torch\n\nfrom monai.config import DtypeLike, KeysCollection, NdarrayTensor\nfrom monai.transforms.transform import MapTransform, RandomizableTransform\nfrom monai.transforms.utility.array import (\n AddChannel,\n AsChannelFirst,\n AsChannelLast,\n CastToType,\n ConvertToMultiChannelBasedOnBratsClasses,\n DataStats,\n EnsureChannelFirst,\n FgBgToIndices,\n Identity,\n LabelToMask,\n Lambda,\n MapLabelValue,\n RemoveRepeatedChannel,\n RepeatChannel,\n SimulateDelay,\n SplitChannel,\n SqueezeDim,\n ToNumpy,\n ToPIL,\n TorchVision,\n ToTensor,\n)\nfrom monai.transforms.utils import extreme_points_to_image, get_extreme_points\nfrom monai.utils import ensure_tuple, ensure_tuple_rep, optional_import\n\nif TYPE_CHECKING:\n from PIL.Image import Image as PILImageImage\n\n has_pil = True\nelse:\n PILImageImage, has_pil = optional_import(\"PIL.Image\", name=\"Image\")\n\n__all__ = [\n \"Identityd\",\n \"AsChannelFirstd\",\n \"AsChannelLastd\",\n \"AddChanneld\",\n \"EnsureChannelFirstd\",\n \"RepeatChanneld\",\n \"RemoveRepeatedChanneld\",\n \"SplitChanneld\",\n \"CastToTyped\",\n \"ToTensord\",\n \"ToNumpyd\",\n \"ToPILd\",\n \"DeleteItemsd\",\n \"SelectItemsd\",\n \"SqueezeDimd\",\n \"DataStatsd\",\n \"SimulateDelayd\",\n \"CopyItemsd\",\n \"ConcatItemsd\",\n \"Lambdad\",\n \"RandLambdad\",\n \"LabelToMaskd\",\n \"FgBgToIndicesd\",\n \"ConvertToMultiChannelBasedOnBratsClassesd\",\n \"AddExtremePointsChanneld\",\n \"TorchVisiond\",\n \"MapLabelValued\",\n \"IdentityD\",\n \"IdentityDict\",\n \"AsChannelFirstD\",\n \"AsChannelFirstDict\",\n \"AsChannelLastD\",\n \"AsChannelLastDict\",\n \"AddChannelD\",\n \"AddChannelDict\",\n \"EnsureChannelFirstD\",\n \"EnsureChannelFirstDict\",\n \"RandLambdaD\",\n \"RandLambdaDict\",\n \"RepeatChannelD\",\n \"RepeatChannelDict\",\n \"RemoveRepeatedChannelD\",\n \"RemoveRepeatedChannelDict\",\n \"SplitChannelD\",\n \"SplitChannelDict\",\n \"CastToTypeD\",\n \"CastToTypeDict\",\n \"ToTensorD\",\n \"ToTensorDict\",\n \"DeleteItemsD\",\n \"DeleteItemsDict\",\n \"SqueezeDimD\",\n \"SqueezeDimDict\",\n \"DataStatsD\",\n \"DataStatsDict\",\n \"SimulateDelayD\",\n \"SimulateDelayDict\",\n \"CopyItemsD\",\n \"CopyItemsDict\",\n \"ConcatItemsD\",\n \"ConcatItemsDict\",\n \"LambdaD\",\n \"LambdaDict\",\n \"LabelToMaskD\",\n \"LabelToMaskDict\",\n \"FgBgToIndicesD\",\n \"FgBgToIndicesDict\",\n \"ConvertToMultiChannelBasedOnBratsClassesD\",\n \"ConvertToMultiChannelBasedOnBratsClassesDict\",\n \"AddExtremePointsChannelD\",\n \"AddExtremePointsChannelDict\",\n \"TorchVisionD\",\n \"TorchVisionDict\",\n \"MapLabelValueD\",\n \"MapLabelValueDict\",\n]\n\n\nclass Identityd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.Identity`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.identity = Identity()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.identity(d[key])\n return d\n\n\nclass AsChannelFirstd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AsChannelFirst`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, channel_dim: int = -1, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n channel_dim: which dimension of input image is the channel, default is the last dimension.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = AsChannelFirst(channel_dim=channel_dim)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass AsChannelLastd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AsChannelLast`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, channel_dim: int = 0, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n channel_dim: which dimension of input image is the channel, default is the first dimension.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = AsChannelLast(channel_dim=channel_dim)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass AddChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AddChannel`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.adder = AddChannel()\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.adder(d[key])\n return d\n\n\nclass EnsureChannelFirstd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.EnsureChannelFirst`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, meta_key_postfix: str = \"meta_dict\") -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n meta_key_postfix: `key_{postfix}` was used to store the metadata in `LoadImaged`.\n So need the key to extract metadata for channel dim information, default is `meta_dict`.\n For example, for data with key `image`, metadata by default is in `image_meta_dict`.\n\n \"\"\"\n super().__init__(keys)\n self.adjuster = EnsureChannelFirst()\n self.meta_key_postfix = meta_key_postfix\n\n def __call__(self, data) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.keys:\n d[key] = self.adjuster(d[key], d[f\"{key}_{self.meta_key_postfix}\"])\n return d\n\n\nclass RepeatChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.RepeatChannel`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, repeats: int, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n repeats: the number of repetitions for each element.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.repeater = RepeatChannel(repeats)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.repeater(d[key])\n return d\n\n\nclass RemoveRepeatedChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.RemoveRepeatedChannel`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, repeats: int, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n repeats: the number of repetitions for each element.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.repeater = RemoveRepeatedChannel(repeats)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.repeater(d[key])\n return d\n\n\nclass SplitChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.SplitChannel`.\n All the input specified by `keys` should be split into same count of data.\n\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n output_postfixes: Optional[Sequence[str]] = None,\n channel_dim: Optional[int] = None,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n output_postfixes: the postfixes to construct keys to store split data.\n for example: if the key of input data is `pred` and split 2 classes, the output\n data keys will be: pred_(output_postfixes[0]), pred_(output_postfixes[1])\n if None, using the index number: `pred_0`, `pred_1`, ... `pred_N`.\n channel_dim: which dimension of input image is the channel, default to None\n to automatically select: if data is numpy array, channel_dim is 0 as\n `numpy array` is used in the pre transforms, if PyTorch Tensor, channel_dim\n is 1 as in most of the cases `Tensor` is uses in the post transforms.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.output_postfixes = output_postfixes\n self.splitter = SplitChannel(channel_dim=channel_dim)\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor]]:\n d = dict(data)\n for key in self.key_iterator(d):\n rets = self.splitter(d[key])\n postfixes: Sequence = list(range(len(rets))) if self.output_postfixes is None else self.output_postfixes\n if len(postfixes) != len(rets):\n raise AssertionError(\"count of split results must match output_postfixes.\")\n for i, r in enumerate(rets):\n split_key = f\"{key}_{postfixes[i]}\"\n if split_key in d:\n raise RuntimeError(f\"input data already contains key {split_key}.\")\n d[split_key] = r\n return d\n\n\nclass CastToTyped(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.CastToType`.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n dtype: Union[Sequence[Union[DtypeLike, torch.dtype]], DtypeLike, torch.dtype] = np.float32,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n dtype: convert image to this data type, default is `np.float32`.\n it also can be a sequence of dtypes or torch.dtype,\n each element corresponds to a key in ``keys``.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n MapTransform.__init__(self, keys, allow_missing_keys)\n self.dtype = ensure_tuple_rep(dtype, len(self.keys))\n self.converter = CastToType()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor]]:\n d = dict(data)\n for key, dtype in self.key_iterator(d, self.dtype):\n d[key] = self.converter(d[key], dtype=dtype)\n\n return d\n\n\nclass ToTensord(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ToTensor`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = ToTensor()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass ToNumpyd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ToNumpy`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = ToNumpy()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass ToPILd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ToNumpy`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = ToPIL()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass DeleteItemsd(MapTransform):\n \"\"\"\n Delete specified items from data dictionary to release memory.\n It will remove the key-values and copy the others to construct a new dictionary.\n \"\"\"\n\n def __call__(self, data):\n return {key: val for key, val in data.items() if key not in self.key_iterator(data)}\n\n\nclass SelectItemsd(MapTransform):\n \"\"\"\n Select only specified items from data dictionary to release memory.\n It will copy the selected key-values and construct and new dictionary.\n \"\"\"\n\n def __call__(self, data):\n result = {key: data[key] for key in self.key_iterator(data)}\n return result\n\n\nclass SqueezeDimd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.SqueezeDim`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, dim: int = 0, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n dim: dimension to be squeezed. Default: 0 (the first dimension)\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = SqueezeDim(dim=dim)\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass DataStatsd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.DataStats`.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n prefix: Union[Sequence[str], str] = \"Data\",\n data_type: Union[Sequence[bool], bool] = True,\n data_shape: Union[Sequence[bool], bool] = True,\n value_range: Union[Sequence[bool], bool] = True,\n data_value: Union[Sequence[bool], bool] = False,\n additional_info: Optional[Union[Sequence[Callable], Callable]] = None,\n logger_handler: Optional[logging.Handler] = None,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n prefix: will be printed in format: \"{prefix} statistics\".\n it also can be a sequence of string, each element corresponds to a key in ``keys``.\n data_type: whether to show the type of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n data_shape: whether to show the shape of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n value_range: whether to show the value range of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n data_value: whether to show the raw value of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n a typical example is to print some properties of Nifti image: affine, pixdim, etc.\n additional_info: user can define callable function to extract\n additional info from input data. it also can be a sequence of string, each element\n corresponds to a key in ``keys``.\n logger_handler: add additional handler to output data: save to file, etc.\n add existing python logging handlers: https://docs.python.org/3/library/logging.handlers.html\n the handler should have a logging level of at least `INFO`.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.prefix = ensure_tuple_rep(prefix, len(self.keys))\n self.data_type = ensure_tuple_rep(data_type, len(self.keys))\n self.data_shape = ensure_tuple_rep(data_shape, len(self.keys))\n self.value_range = ensure_tuple_rep(value_range, len(self.keys))\n self.data_value = ensure_tuple_rep(data_value, len(self.keys))\n self.additional_info = ensure_tuple_rep(additional_info, len(self.keys))\n self.logger_handler = logger_handler\n self.printer = DataStats(logger_handler=logger_handler)\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key, prefix, data_type, data_shape, value_range, data_value, additional_info in self.key_iterator(\n d, self.prefix, self.data_type, self.data_shape, self.value_range, self.data_value, self.additional_info\n ):\n d[key] = self.printer(\n d[key],\n prefix,\n data_type,\n data_shape,\n value_range,\n data_value,\n additional_info,\n )\n return d\n\n\nclass SimulateDelayd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.SimulateDelay`.\n \"\"\"\n\n def __init__(\n self, keys: KeysCollection, delay_time: Union[Sequence[float], float] = 0.0, allow_missing_keys: bool = False\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n delay_time: The minimum amount of time, in fractions of seconds, to accomplish this identity task.\n It also can be a sequence of string, each element corresponds to a key in ``keys``.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.delay_time = ensure_tuple_rep(delay_time, len(self.keys))\n self.delayer = SimulateDelay()\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key, delay_time in self.key_iterator(d, self.delay_time):\n d[key] = self.delayer(d[key], delay_time=delay_time)\n return d\n\n\nclass CopyItemsd(MapTransform):\n \"\"\"\n Copy specified items from data dictionary and save with different key names.\n It can copy several items together and copy several times.\n\n \"\"\"\n\n def __init__(\n self, keys: KeysCollection, times: int, names: KeysCollection, allow_missing_keys: bool = False\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n times: expected copy times, for example, if keys is \"img\", times is 3,\n it will add 3 copies of \"img\" data to the dictionary.\n names: the names corresponding to the newly copied data,\n the length should match `len(keys) x times`. for example, if keys is [\"img\", \"seg\"]\n and times is 2, names can be: [\"img_1\", \"seg_1\", \"img_2\", \"seg_2\"].\n allow_missing_keys: don't raise exception if key is missing.\n\n Raises:\n ValueError: When ``times`` is nonpositive.\n ValueError: When ``len(names)`` is not ``len(keys) * times``. Incompatible values.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n if times < 1:\n raise ValueError(f\"times must be positive, got {times}.\")\n self.times = times\n names = ensure_tuple(names)\n if len(names) != (len(self.keys) * times):\n raise ValueError(\n \"len(names) must match len(keys) * times, \"\n f\"got len(names)={len(names)} len(keys) * times={len(self.keys) * times}.\"\n )\n self.names = names\n\n def __call__(self, data):\n \"\"\"\n Raises:\n KeyError: When a key in ``self.names`` already exists in ``data``.\n\n \"\"\"\n d = dict(data)\n for new_key in self.names:\n if new_key in d:\n raise KeyError(f\"Key {new_key} already exists in data.\")\n for key in self.key_iterator(d):\n if isinstance(d[key], torch.Tensor):\n d[new_key] = d[key].detach().clone()\n else:\n d[new_key] = copy.deepcopy(d[key])\n return d\n\n\nclass ConcatItemsd(MapTransform):\n \"\"\"\n Concatenate specified items from data dictionary together on the first dim to construct a big array.\n Expect all the items are numpy array or PyTorch Tensor.\n\n \"\"\"\n\n def __init__(self, keys: KeysCollection, name: str, dim: int = 0, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be concatenated together.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n name: the name corresponding to the key to store the concatenated data.\n dim: on which dimension to concatenate the items, default is 0.\n allow_missing_keys: don't raise exception if key is missing.\n\n Raises:\n ValueError: When insufficient keys are given (``len(self.keys) < 2``).\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n if len(self.keys) < 2:\n raise ValueError(\"Concatenation requires at least 2 keys.\")\n self.name = name\n self.dim = dim\n\n def __call__(self, data):\n \"\"\"\n Raises:\n TypeError: When items in ``data`` differ in type.\n TypeError: When the item type is not in ``Union[numpy.ndarray, torch.Tensor]``.\n\n \"\"\"\n d = dict(data)\n output = []\n data_type = None\n for key in self.key_iterator(d):\n if data_type is None:\n data_type = type(d[key])\n elif not isinstance(d[key], data_type):\n raise TypeError(\"All items in data must have the same type.\")\n output.append(d[key])\n if data_type == np.ndarray:\n d[self.name] = np.concatenate(output, axis=self.dim)\n elif data_type == torch.Tensor:\n d[self.name] = torch.cat(output, dim=self.dim)\n else:\n raise TypeError(f\"Unsupported data type: {data_type}, available options are (numpy.ndarray, torch.Tensor).\")\n return d\n\n\nclass Lambdad(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.Lambda`.\n\n For example:\n\n .. code-block:: python\n :emphasize-lines: 2\n\n input_data={'image': np.zeros((10, 2, 2)), 'label': np.ones((10, 2, 2))}\n lambd = Lambdad(keys='label', func=lambda x: x[:4, :, :])\n print(lambd(input_data)['label'].shape)\n (4, 2, 2)\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n func: Lambda/function to be applied. It also can be a sequence of Callable,\n each element corresponds to a key in ``keys``.\n overwrite: whether to overwrite the original data in the input dictionary with lamdbda function output.\n default to True. it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n func: Union[Sequence[Callable], Callable],\n overwrite: Union[Sequence[bool], bool] = True,\n allow_missing_keys: bool = False,\n ) -> None:\n super().__init__(keys, allow_missing_keys)\n self.func = ensure_tuple_rep(func, len(self.keys))\n self.overwrite = ensure_tuple_rep(overwrite, len(self.keys))\n self._lambd = Lambda()\n\n def __call__(self, data):\n d = dict(data)\n for key, func, overwrite in self.key_iterator(d, self.func, self.overwrite):\n ret = self._lambd(d[key], func=func)\n if overwrite:\n d[key] = ret\n return d\n\n\nclass RandLambdad(Lambdad, RandomizableTransform):\n \"\"\"\n RandomizableTransform version :py:class:`monai.transforms.Lambdad`, the input `func` contains random logic.\n It's a randomizable transform so `CacheDataset` will not execute it and cache the results.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n func: Lambda/function to be applied. It also can be a sequence of Callable,\n each element corresponds to a key in ``keys``.\n overwrite: whether to overwrite the original data in the input dictionary with lamdbda function output.\n default to True. it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n\n For more details, please check :py:class:`monai.transforms.Lambdad`.\n\n \"\"\"\n\n def randomize(self, data: Any) -> None:\n pass\n\n\nclass LabelToMaskd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.LabelToMask`.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n select_labels: labels to generate mask from. for 1 channel label, the `select_labels`\n is the expected label values, like: [1, 2, 3]. for One-Hot format label, the\n `select_labels` is the expected channel indices.\n merge_channels: whether to use `np.any()` to merge the result on channel dim.\n if yes, will return a single channel mask with binary data.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n\n def __init__( # pytype: disable=annotation-type-mismatch\n self,\n keys: KeysCollection,\n select_labels: Union[Sequence[int], int],\n merge_channels: bool = False,\n allow_missing_keys: bool = False,\n ) -> None: # pytype: disable=annotation-type-mismatch\n super().__init__(keys, allow_missing_keys)\n self.converter = LabelToMask(select_labels=select_labels, merge_channels=merge_channels)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n\n return d\n\n\nclass FgBgToIndicesd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.FgBgToIndices`.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n fg_postfix: postfix to save the computed foreground indices in dict.\n for example, if computed on `label` and `postfix = \"_fg_indices\"`, the key will be `label_fg_indices`.\n bg_postfix: postfix to save the computed background indices in dict.\n for example, if computed on `label` and `postfix = \"_bg_indices\"`, the key will be `label_bg_indices`.\n image_key: if image_key is not None, use ``label == 0 & image > image_threshold`` to determine\n the negative sample(background). so the output items will not map to all the voxels in the label.\n image_threshold: if enabled image_key, use ``image > image_threshold`` to determine\n the valid image content area and select background only in this area.\n output_shape: expected shape of output indices. if not None, unravel indices to specified shape.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n fg_postfix: str = \"_fg_indices\",\n bg_postfix: str = \"_bg_indices\",\n image_key: Optional[str] = None,\n image_threshold: float = 0.0,\n output_shape: Optional[Sequence[int]] = None,\n allow_missing_keys: bool = False,\n ) -> None:\n super().__init__(keys, allow_missing_keys)\n self.fg_postfix = fg_postfix\n self.bg_postfix = bg_postfix\n self.image_key = image_key\n self.converter = FgBgToIndices(image_threshold, output_shape)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n image = d[self.image_key] if self.image_key else None\n for key in self.key_iterator(d):\n d[str(key) + self.fg_postfix], d[str(key) + self.bg_postfix] = self.converter(d[key], image)\n\n return d\n\n\nclass ConvertToMultiChannelBasedOnBratsClassesd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ConvertToMultiChannelBasedOnBratsClasses`.\n Convert labels to multi channels based on brats18 classes:\n label 1 is the necrotic and non-enhancing tumor core\n label 2 is the the peritumoral edema\n label 4 is the GD-enhancing tumor\n The possible classes are TC (Tumor core), WT (Whole tumor)\n and ET (Enhancing tumor).\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False):\n super().__init__(keys, allow_missing_keys)\n self.converter = ConvertToMultiChannelBasedOnBratsClasses()\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass AddExtremePointsChanneld(RandomizableTransform, MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AddExtremePointsChannel`.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n label_key: key to label source to get the extreme points.\n background: Class index of background label, defaults to 0.\n pert: Random perturbation amount to add to the points, defaults to 0.0.\n sigma: if a list of values, must match the count of spatial dimensions of input data,\n and apply every value in the list to 1 spatial dimension. if only 1 value provided,\n use it for all spatial dimensions.\n rescale_min: minimum value of output data.\n rescale_max: maximum value of output data.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n label_key: str,\n background: int = 0,\n pert: float = 0.0,\n sigma: Union[Sequence[float], float, Sequence[torch.Tensor], torch.Tensor] = 3.0,\n rescale_min: float = -1.0,\n rescale_max: float = 1.0,\n allow_missing_keys: bool = False,\n ):\n MapTransform.__init__(self, keys, allow_missing_keys)\n self.background = background\n self.pert = pert\n self.points: List[Tuple[int, ...]] = []\n self.label_key = label_key\n self.sigma = sigma\n self.rescale_min = rescale_min\n self.rescale_max = rescale_max\n\n def randomize(self, label: np.ndarray) -> None:\n self.points = get_extreme_points(label, rand_state=self.R, background=self.background, pert=self.pert)\n\n def __call__(self, data):\n d = dict(data)\n label = d[self.label_key]\n if label.shape[0] != 1:\n raise ValueError(\"Only supports single channel labels!\")\n\n # Generate extreme points\n self.randomize(label[0, :])\n\n for key in self.key_iterator(d):\n img = d[key]\n points_image = extreme_points_to_image(\n points=self.points,\n label=label,\n sigma=self.sigma,\n rescale_min=self.rescale_min,\n rescale_max=self.rescale_max,\n )\n d[key] = np.concatenate([img, points_image], axis=0)\n return d\n\n\nclass TorchVisiond(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.TorchVision`.\n As most of the TorchVision transforms only work for PIL image and PyTorch Tensor, this transform expects input\n data to be dict of PyTorch Tensors, users can easily call `ToTensord` transform to convert Numpy to Tensor.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args, **kwargs) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n name: The transform name in TorchVision package.\n allow_missing_keys: don't raise exception if key is missing.\n args: parameters for the TorchVision transform.\n kwargs: parameters for the TorchVision transform.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.trans = TorchVision(name, *args, **kwargs)\n\n def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> Dict[Hashable, torch.Tensor]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.trans(d[key])\n return d\n\n\nclass MapLabelValued(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.MapLabelValue`.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n orig_labels: Sequence,\n target_labels: Sequence,\n dtype: DtypeLike = np.float32,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n orig_labels: original labels that map to others.\n target_labels: expected label values, 1: 1 map to the `orig_labels`.\n dtype: convert the output data to dtype, default to float32.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.mapper = MapLabelValue(orig_labels=orig_labels, target_labels=target_labels, dtype=dtype)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.mapper(d[key])\n return d\n\n\nIdentityD = IdentityDict = Identityd\nAsChannelFirstD = AsChannelFirstDict = AsChannelFirstd\nAsChannelLastD = AsChannelLastDict = AsChannelLastd\nAddChannelD = AddChannelDict = AddChanneld\nEnsureChannelFirstD = EnsureChannelFirstDict = EnsureChannelFirstd\nRemoveRepeatedChannelD = RemoveRepeatedChannelDict = RemoveRepeatedChanneld\nRepeatChannelD = RepeatChannelDict = RepeatChanneld\nSplitChannelD = SplitChannelDict = SplitChanneld\nCastToTypeD = CastToTypeDict = CastToTyped\nToTensorD = ToTensorDict = ToTensord\nToNumpyD = ToNumpyDict = ToNumpyd\nToPILD = ToPILDict = ToPILd\nDeleteItemsD = DeleteItemsDict = DeleteItemsd\nSqueezeDimD = SqueezeDimDict = SqueezeDimd\nDataStatsD = DataStatsDict = DataStatsd\nSimulateDelayD = SimulateDelayDict = SimulateDelayd\nCopyItemsD = CopyItemsDict = CopyItemsd\nConcatItemsD = ConcatItemsDict = ConcatItemsd\nLambdaD = LambdaDict = Lambdad\nLabelToMaskD = LabelToMaskDict = LabelToMaskd\nFgBgToIndicesD = FgBgToIndicesDict = FgBgToIndicesd\nConvertToMultiChannelBasedOnBratsClassesD = (\n ConvertToMultiChannelBasedOnBratsClassesDict\n) = ConvertToMultiChannelBasedOnBratsClassesd\nAddExtremePointsChannelD = AddExtremePointsChannelDict = AddExtremePointsChanneld\nTorchVisionD = TorchVisionDict = TorchVisiond\nRandLambdaD = RandLambdaDict = RandLambdad\nMapLabelValueD = MapLabelValueDict = MapLabelValued\n", "path": "monai/transforms/utility/dictionary.py" } ]
[ { "content": "# Copyright 2020 - 2021 MONAI Consortium\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n# http://www.apache.org/licenses/LICENSE-2.0\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\"\"\"\nA collection of dictionary-based wrappers around the \"vanilla\" transforms for utility functions\ndefined in :py:class:`monai.transforms.utility.array`.\n\nClass names are ended with 'd' to denote dictionary-based transforms.\n\"\"\"\n\nimport copy\nimport logging\nfrom typing import TYPE_CHECKING, Any, Callable, Dict, Hashable, List, Mapping, Optional, Sequence, Tuple, Union\n\nimport numpy as np\nimport torch\n\nfrom monai.config import DtypeLike, KeysCollection, NdarrayTensor\nfrom monai.transforms.transform import MapTransform, RandomizableTransform\nfrom monai.transforms.utility.array import (\n AddChannel,\n AsChannelFirst,\n AsChannelLast,\n CastToType,\n ConvertToMultiChannelBasedOnBratsClasses,\n DataStats,\n EnsureChannelFirst,\n FgBgToIndices,\n Identity,\n LabelToMask,\n Lambda,\n MapLabelValue,\n RemoveRepeatedChannel,\n RepeatChannel,\n SimulateDelay,\n SplitChannel,\n SqueezeDim,\n ToNumpy,\n ToPIL,\n TorchVision,\n ToTensor,\n)\nfrom monai.transforms.utils import extreme_points_to_image, get_extreme_points\nfrom monai.utils import ensure_tuple, ensure_tuple_rep, optional_import\n\nif TYPE_CHECKING:\n from PIL.Image import Image as PILImageImage\n\n has_pil = True\nelse:\n PILImageImage, has_pil = optional_import(\"PIL.Image\", name=\"Image\")\n\n__all__ = [\n \"Identityd\",\n \"AsChannelFirstd\",\n \"AsChannelLastd\",\n \"AddChanneld\",\n \"EnsureChannelFirstd\",\n \"RepeatChanneld\",\n \"RemoveRepeatedChanneld\",\n \"SplitChanneld\",\n \"CastToTyped\",\n \"ToTensord\",\n \"ToNumpyd\",\n \"ToPILd\",\n \"DeleteItemsd\",\n \"SelectItemsd\",\n \"SqueezeDimd\",\n \"DataStatsd\",\n \"SimulateDelayd\",\n \"CopyItemsd\",\n \"ConcatItemsd\",\n \"Lambdad\",\n \"RandLambdad\",\n \"LabelToMaskd\",\n \"FgBgToIndicesd\",\n \"ConvertToMultiChannelBasedOnBratsClassesd\",\n \"AddExtremePointsChanneld\",\n \"TorchVisiond\",\n \"MapLabelValued\",\n \"IdentityD\",\n \"IdentityDict\",\n \"AsChannelFirstD\",\n \"AsChannelFirstDict\",\n \"AsChannelLastD\",\n \"AsChannelLastDict\",\n \"AddChannelD\",\n \"AddChannelDict\",\n \"EnsureChannelFirstD\",\n \"EnsureChannelFirstDict\",\n \"RandLambdaD\",\n \"RandLambdaDict\",\n \"RepeatChannelD\",\n \"RepeatChannelDict\",\n \"RemoveRepeatedChannelD\",\n \"RemoveRepeatedChannelDict\",\n \"SplitChannelD\",\n \"SplitChannelDict\",\n \"CastToTypeD\",\n \"CastToTypeDict\",\n \"ToTensorD\",\n \"ToTensorDict\",\n \"DeleteItemsD\",\n \"DeleteItemsDict\",\n \"SqueezeDimD\",\n \"SqueezeDimDict\",\n \"DataStatsD\",\n \"DataStatsDict\",\n \"SimulateDelayD\",\n \"SimulateDelayDict\",\n \"CopyItemsD\",\n \"CopyItemsDict\",\n \"ConcatItemsD\",\n \"ConcatItemsDict\",\n \"LambdaD\",\n \"LambdaDict\",\n \"LabelToMaskD\",\n \"LabelToMaskDict\",\n \"FgBgToIndicesD\",\n \"FgBgToIndicesDict\",\n \"ConvertToMultiChannelBasedOnBratsClassesD\",\n \"ConvertToMultiChannelBasedOnBratsClassesDict\",\n \"AddExtremePointsChannelD\",\n \"AddExtremePointsChannelDict\",\n \"TorchVisionD\",\n \"TorchVisionDict\",\n \"MapLabelValueD\",\n \"MapLabelValueDict\",\n]\n\n\nclass Identityd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.Identity`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.identity = Identity()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.identity(d[key])\n return d\n\n\nclass AsChannelFirstd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AsChannelFirst`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, channel_dim: int = -1, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n channel_dim: which dimension of input image is the channel, default is the last dimension.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = AsChannelFirst(channel_dim=channel_dim)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass AsChannelLastd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AsChannelLast`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, channel_dim: int = 0, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n channel_dim: which dimension of input image is the channel, default is the first dimension.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = AsChannelLast(channel_dim=channel_dim)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass AddChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AddChannel`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.adder = AddChannel()\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.adder(d[key])\n return d\n\n\nclass EnsureChannelFirstd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.EnsureChannelFirst`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, meta_key_postfix: str = \"meta_dict\") -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n meta_key_postfix: `key_{postfix}` was used to store the metadata in `LoadImaged`.\n So need the key to extract metadata for channel dim information, default is `meta_dict`.\n For example, for data with key `image`, metadata by default is in `image_meta_dict`.\n\n \"\"\"\n super().__init__(keys)\n self.adjuster = EnsureChannelFirst()\n self.meta_key_postfix = meta_key_postfix\n\n def __call__(self, data) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.keys:\n d[key] = self.adjuster(d[key], d[f\"{key}_{self.meta_key_postfix}\"])\n return d\n\n\nclass RepeatChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.RepeatChannel`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, repeats: int, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n repeats: the number of repetitions for each element.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.repeater = RepeatChannel(repeats)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.repeater(d[key])\n return d\n\n\nclass RemoveRepeatedChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.RemoveRepeatedChannel`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, repeats: int, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n repeats: the number of repetitions for each element.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.repeater = RemoveRepeatedChannel(repeats)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.repeater(d[key])\n return d\n\n\nclass SplitChanneld(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.SplitChannel`.\n All the input specified by `keys` should be split into same count of data.\n\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n output_postfixes: Optional[Sequence[str]] = None,\n channel_dim: Optional[int] = None,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n output_postfixes: the postfixes to construct keys to store split data.\n for example: if the key of input data is `pred` and split 2 classes, the output\n data keys will be: pred_(output_postfixes[0]), pred_(output_postfixes[1])\n if None, using the index number: `pred_0`, `pred_1`, ... `pred_N`.\n channel_dim: which dimension of input image is the channel, default to None\n to automatically select: if data is numpy array, channel_dim is 0 as\n `numpy array` is used in the pre transforms, if PyTorch Tensor, channel_dim\n is 1 as in most of the cases `Tensor` is uses in the post transforms.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.output_postfixes = output_postfixes\n self.splitter = SplitChannel(channel_dim=channel_dim)\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor]]:\n d = dict(data)\n for key in self.key_iterator(d):\n rets = self.splitter(d[key])\n postfixes: Sequence = list(range(len(rets))) if self.output_postfixes is None else self.output_postfixes\n if len(postfixes) != len(rets):\n raise AssertionError(\"count of split results must match output_postfixes.\")\n for i, r in enumerate(rets):\n split_key = f\"{key}_{postfixes[i]}\"\n if split_key in d:\n raise RuntimeError(f\"input data already contains key {split_key}.\")\n d[split_key] = r\n return d\n\n\nclass CastToTyped(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.CastToType`.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n dtype: Union[Sequence[Union[DtypeLike, torch.dtype]], DtypeLike, torch.dtype] = np.float32,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n dtype: convert image to this data type, default is `np.float32`.\n it also can be a sequence of dtypes or torch.dtype,\n each element corresponds to a key in ``keys``.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n MapTransform.__init__(self, keys, allow_missing_keys)\n self.dtype = ensure_tuple_rep(dtype, len(self.keys))\n self.converter = CastToType()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor]]:\n d = dict(data)\n for key, dtype in self.key_iterator(d, self.dtype):\n d[key] = self.converter(d[key], dtype=dtype)\n\n return d\n\n\nclass ToTensord(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ToTensor`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = ToTensor()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass ToNumpyd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ToNumpy`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = ToNumpy()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass ToPILd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ToNumpy`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = ToPIL()\n\n def __call__(\n self, data: Mapping[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]\n ) -> Dict[Hashable, Union[np.ndarray, torch.Tensor, PILImageImage]]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass DeleteItemsd(MapTransform):\n \"\"\"\n Delete specified items from data dictionary to release memory.\n It will remove the key-values and copy the others to construct a new dictionary.\n \"\"\"\n\n def __call__(self, data):\n return {key: val for key, val in data.items() if key not in self.key_iterator(data)}\n\n\nclass SelectItemsd(MapTransform):\n \"\"\"\n Select only specified items from data dictionary to release memory.\n It will copy the selected key-values and construct and new dictionary.\n \"\"\"\n\n def __call__(self, data):\n result = {key: data[key] for key in self.key_iterator(data)}\n return result\n\n\nclass SqueezeDimd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.SqueezeDim`.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, dim: int = 0, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n dim: dimension to be squeezed. Default: 0 (the first dimension)\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.converter = SqueezeDim(dim=dim)\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass DataStatsd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.DataStats`.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n prefix: Union[Sequence[str], str] = \"Data\",\n data_type: Union[Sequence[bool], bool] = True,\n data_shape: Union[Sequence[bool], bool] = True,\n value_range: Union[Sequence[bool], bool] = True,\n data_value: Union[Sequence[bool], bool] = False,\n additional_info: Optional[Union[Sequence[Callable], Callable]] = None,\n logger_handler: Optional[logging.Handler] = None,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n prefix: will be printed in format: \"{prefix} statistics\".\n it also can be a sequence of string, each element corresponds to a key in ``keys``.\n data_type: whether to show the type of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n data_shape: whether to show the shape of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n value_range: whether to show the value range of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n data_value: whether to show the raw value of input data.\n it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n a typical example is to print some properties of Nifti image: affine, pixdim, etc.\n additional_info: user can define callable function to extract\n additional info from input data. it also can be a sequence of string, each element\n corresponds to a key in ``keys``.\n logger_handler: add additional handler to output data: save to file, etc.\n add existing python logging handlers: https://docs.python.org/3/library/logging.handlers.html\n the handler should have a logging level of at least `INFO`.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.prefix = ensure_tuple_rep(prefix, len(self.keys))\n self.data_type = ensure_tuple_rep(data_type, len(self.keys))\n self.data_shape = ensure_tuple_rep(data_shape, len(self.keys))\n self.value_range = ensure_tuple_rep(value_range, len(self.keys))\n self.data_value = ensure_tuple_rep(data_value, len(self.keys))\n self.additional_info = ensure_tuple_rep(additional_info, len(self.keys))\n self.logger_handler = logger_handler\n self.printer = DataStats(logger_handler=logger_handler)\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key, prefix, data_type, data_shape, value_range, data_value, additional_info in self.key_iterator(\n d, self.prefix, self.data_type, self.data_shape, self.value_range, self.data_value, self.additional_info\n ):\n d[key] = self.printer(\n d[key],\n prefix,\n data_type,\n data_shape,\n value_range,\n data_value,\n additional_info,\n )\n return d\n\n\nclass SimulateDelayd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.SimulateDelay`.\n \"\"\"\n\n def __init__(\n self, keys: KeysCollection, delay_time: Union[Sequence[float], float] = 0.0, allow_missing_keys: bool = False\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n delay_time: The minimum amount of time, in fractions of seconds, to accomplish this identity task.\n It also can be a sequence of string, each element corresponds to a key in ``keys``.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.delay_time = ensure_tuple_rep(delay_time, len(self.keys))\n self.delayer = SimulateDelay()\n\n def __call__(self, data: Mapping[Hashable, NdarrayTensor]) -> Dict[Hashable, NdarrayTensor]:\n d = dict(data)\n for key, delay_time in self.key_iterator(d, self.delay_time):\n d[key] = self.delayer(d[key], delay_time=delay_time)\n return d\n\n\nclass CopyItemsd(MapTransform):\n \"\"\"\n Copy specified items from data dictionary and save with different key names.\n It can copy several items together and copy several times.\n\n \"\"\"\n\n def __init__(\n self, keys: KeysCollection, times: int, names: KeysCollection, allow_missing_keys: bool = False\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n times: expected copy times, for example, if keys is \"img\", times is 3,\n it will add 3 copies of \"img\" data to the dictionary.\n names: the names corresponding to the newly copied data,\n the length should match `len(keys) x times`. for example, if keys is [\"img\", \"seg\"]\n and times is 2, names can be: [\"img_1\", \"seg_1\", \"img_2\", \"seg_2\"].\n allow_missing_keys: don't raise exception if key is missing.\n\n Raises:\n ValueError: When ``times`` is nonpositive.\n ValueError: When ``len(names)`` is not ``len(keys) * times``. Incompatible values.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n if times < 1:\n raise ValueError(f\"times must be positive, got {times}.\")\n self.times = times\n names = ensure_tuple(names)\n if len(names) != (len(self.keys) * times):\n raise ValueError(\n \"len(names) must match len(keys) * times, \"\n f\"got len(names)={len(names)} len(keys) * times={len(self.keys) * times}.\"\n )\n self.names = names\n\n def __call__(self, data):\n \"\"\"\n Raises:\n KeyError: When a key in ``self.names`` already exists in ``data``.\n\n \"\"\"\n d = dict(data)\n for new_key in self.names:\n if new_key in d:\n raise KeyError(f\"Key {new_key} already exists in data.\")\n for key in self.key_iterator(d):\n if isinstance(d[key], torch.Tensor):\n d[new_key] = d[key].detach().clone()\n else:\n d[new_key] = copy.deepcopy(d[key])\n return d\n\n\nclass ConcatItemsd(MapTransform):\n \"\"\"\n Concatenate specified items from data dictionary together on the first dim to construct a big array.\n Expect all the items are numpy array or PyTorch Tensor.\n\n \"\"\"\n\n def __init__(self, keys: KeysCollection, name: str, dim: int = 0, allow_missing_keys: bool = False) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be concatenated together.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n name: the name corresponding to the key to store the concatenated data.\n dim: on which dimension to concatenate the items, default is 0.\n allow_missing_keys: don't raise exception if key is missing.\n\n Raises:\n ValueError: When insufficient keys are given (``len(self.keys) < 2``).\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.name = name\n self.dim = dim\n\n def __call__(self, data):\n \"\"\"\n Raises:\n TypeError: When items in ``data`` differ in type.\n TypeError: When the item type is not in ``Union[numpy.ndarray, torch.Tensor]``.\n\n \"\"\"\n d = dict(data)\n output = []\n data_type = None\n for key in self.key_iterator(d):\n if data_type is None:\n data_type = type(d[key])\n elif not isinstance(d[key], data_type):\n raise TypeError(\"All items in data must have the same type.\")\n output.append(d[key])\n if data_type == np.ndarray:\n d[self.name] = np.concatenate(output, axis=self.dim)\n elif data_type == torch.Tensor:\n d[self.name] = torch.cat(output, dim=self.dim)\n else:\n raise TypeError(f\"Unsupported data type: {data_type}, available options are (numpy.ndarray, torch.Tensor).\")\n return d\n\n\nclass Lambdad(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.Lambda`.\n\n For example:\n\n .. code-block:: python\n :emphasize-lines: 2\n\n input_data={'image': np.zeros((10, 2, 2)), 'label': np.ones((10, 2, 2))}\n lambd = Lambdad(keys='label', func=lambda x: x[:4, :, :])\n print(lambd(input_data)['label'].shape)\n (4, 2, 2)\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n func: Lambda/function to be applied. It also can be a sequence of Callable,\n each element corresponds to a key in ``keys``.\n overwrite: whether to overwrite the original data in the input dictionary with lamdbda function output.\n default to True. it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n allow_missing_keys: don't raise exception if key is missing.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n func: Union[Sequence[Callable], Callable],\n overwrite: Union[Sequence[bool], bool] = True,\n allow_missing_keys: bool = False,\n ) -> None:\n super().__init__(keys, allow_missing_keys)\n self.func = ensure_tuple_rep(func, len(self.keys))\n self.overwrite = ensure_tuple_rep(overwrite, len(self.keys))\n self._lambd = Lambda()\n\n def __call__(self, data):\n d = dict(data)\n for key, func, overwrite in self.key_iterator(d, self.func, self.overwrite):\n ret = self._lambd(d[key], func=func)\n if overwrite:\n d[key] = ret\n return d\n\n\nclass RandLambdad(Lambdad, RandomizableTransform):\n \"\"\"\n RandomizableTransform version :py:class:`monai.transforms.Lambdad`, the input `func` contains random logic.\n It's a randomizable transform so `CacheDataset` will not execute it and cache the results.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n func: Lambda/function to be applied. It also can be a sequence of Callable,\n each element corresponds to a key in ``keys``.\n overwrite: whether to overwrite the original data in the input dictionary with lamdbda function output.\n default to True. it also can be a sequence of bool, each element corresponds to a key in ``keys``.\n\n For more details, please check :py:class:`monai.transforms.Lambdad`.\n\n \"\"\"\n\n def randomize(self, data: Any) -> None:\n pass\n\n\nclass LabelToMaskd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.LabelToMask`.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n select_labels: labels to generate mask from. for 1 channel label, the `select_labels`\n is the expected label values, like: [1, 2, 3]. for One-Hot format label, the\n `select_labels` is the expected channel indices.\n merge_channels: whether to use `np.any()` to merge the result on channel dim.\n if yes, will return a single channel mask with binary data.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n\n def __init__( # pytype: disable=annotation-type-mismatch\n self,\n keys: KeysCollection,\n select_labels: Union[Sequence[int], int],\n merge_channels: bool = False,\n allow_missing_keys: bool = False,\n ) -> None: # pytype: disable=annotation-type-mismatch\n super().__init__(keys, allow_missing_keys)\n self.converter = LabelToMask(select_labels=select_labels, merge_channels=merge_channels)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n\n return d\n\n\nclass FgBgToIndicesd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.FgBgToIndices`.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n fg_postfix: postfix to save the computed foreground indices in dict.\n for example, if computed on `label` and `postfix = \"_fg_indices\"`, the key will be `label_fg_indices`.\n bg_postfix: postfix to save the computed background indices in dict.\n for example, if computed on `label` and `postfix = \"_bg_indices\"`, the key will be `label_bg_indices`.\n image_key: if image_key is not None, use ``label == 0 & image > image_threshold`` to determine\n the negative sample(background). so the output items will not map to all the voxels in the label.\n image_threshold: if enabled image_key, use ``image > image_threshold`` to determine\n the valid image content area and select background only in this area.\n output_shape: expected shape of output indices. if not None, unravel indices to specified shape.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n fg_postfix: str = \"_fg_indices\",\n bg_postfix: str = \"_bg_indices\",\n image_key: Optional[str] = None,\n image_threshold: float = 0.0,\n output_shape: Optional[Sequence[int]] = None,\n allow_missing_keys: bool = False,\n ) -> None:\n super().__init__(keys, allow_missing_keys)\n self.fg_postfix = fg_postfix\n self.bg_postfix = bg_postfix\n self.image_key = image_key\n self.converter = FgBgToIndices(image_threshold, output_shape)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n image = d[self.image_key] if self.image_key else None\n for key in self.key_iterator(d):\n d[str(key) + self.fg_postfix], d[str(key) + self.bg_postfix] = self.converter(d[key], image)\n\n return d\n\n\nclass ConvertToMultiChannelBasedOnBratsClassesd(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.ConvertToMultiChannelBasedOnBratsClasses`.\n Convert labels to multi channels based on brats18 classes:\n label 1 is the necrotic and non-enhancing tumor core\n label 2 is the the peritumoral edema\n label 4 is the GD-enhancing tumor\n The possible classes are TC (Tumor core), WT (Whole tumor)\n and ET (Enhancing tumor).\n \"\"\"\n\n def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False):\n super().__init__(keys, allow_missing_keys)\n self.converter = ConvertToMultiChannelBasedOnBratsClasses()\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.converter(d[key])\n return d\n\n\nclass AddExtremePointsChanneld(RandomizableTransform, MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.AddExtremePointsChannel`.\n\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n label_key: key to label source to get the extreme points.\n background: Class index of background label, defaults to 0.\n pert: Random perturbation amount to add to the points, defaults to 0.0.\n sigma: if a list of values, must match the count of spatial dimensions of input data,\n and apply every value in the list to 1 spatial dimension. if only 1 value provided,\n use it for all spatial dimensions.\n rescale_min: minimum value of output data.\n rescale_max: maximum value of output data.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n label_key: str,\n background: int = 0,\n pert: float = 0.0,\n sigma: Union[Sequence[float], float, Sequence[torch.Tensor], torch.Tensor] = 3.0,\n rescale_min: float = -1.0,\n rescale_max: float = 1.0,\n allow_missing_keys: bool = False,\n ):\n MapTransform.__init__(self, keys, allow_missing_keys)\n self.background = background\n self.pert = pert\n self.points: List[Tuple[int, ...]] = []\n self.label_key = label_key\n self.sigma = sigma\n self.rescale_min = rescale_min\n self.rescale_max = rescale_max\n\n def randomize(self, label: np.ndarray) -> None:\n self.points = get_extreme_points(label, rand_state=self.R, background=self.background, pert=self.pert)\n\n def __call__(self, data):\n d = dict(data)\n label = d[self.label_key]\n if label.shape[0] != 1:\n raise ValueError(\"Only supports single channel labels!\")\n\n # Generate extreme points\n self.randomize(label[0, :])\n\n for key in self.key_iterator(d):\n img = d[key]\n points_image = extreme_points_to_image(\n points=self.points,\n label=label,\n sigma=self.sigma,\n rescale_min=self.rescale_min,\n rescale_max=self.rescale_max,\n )\n d[key] = np.concatenate([img, points_image], axis=0)\n return d\n\n\nclass TorchVisiond(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.TorchVision`.\n As most of the TorchVision transforms only work for PIL image and PyTorch Tensor, this transform expects input\n data to be dict of PyTorch Tensors, users can easily call `ToTensord` transform to convert Numpy to Tensor.\n \"\"\"\n\n def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args, **kwargs) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n name: The transform name in TorchVision package.\n allow_missing_keys: don't raise exception if key is missing.\n args: parameters for the TorchVision transform.\n kwargs: parameters for the TorchVision transform.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.trans = TorchVision(name, *args, **kwargs)\n\n def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> Dict[Hashable, torch.Tensor]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.trans(d[key])\n return d\n\n\nclass MapLabelValued(MapTransform):\n \"\"\"\n Dictionary-based wrapper of :py:class:`monai.transforms.MapLabelValue`.\n \"\"\"\n\n def __init__(\n self,\n keys: KeysCollection,\n orig_labels: Sequence,\n target_labels: Sequence,\n dtype: DtypeLike = np.float32,\n allow_missing_keys: bool = False,\n ) -> None:\n \"\"\"\n Args:\n keys: keys of the corresponding items to be transformed.\n See also: :py:class:`monai.transforms.compose.MapTransform`\n orig_labels: original labels that map to others.\n target_labels: expected label values, 1: 1 map to the `orig_labels`.\n dtype: convert the output data to dtype, default to float32.\n allow_missing_keys: don't raise exception if key is missing.\n\n \"\"\"\n super().__init__(keys, allow_missing_keys)\n self.mapper = MapLabelValue(orig_labels=orig_labels, target_labels=target_labels, dtype=dtype)\n\n def __call__(self, data: Mapping[Hashable, np.ndarray]) -> Dict[Hashable, np.ndarray]:\n d = dict(data)\n for key in self.key_iterator(d):\n d[key] = self.mapper(d[key])\n return d\n\n\nIdentityD = IdentityDict = Identityd\nAsChannelFirstD = AsChannelFirstDict = AsChannelFirstd\nAsChannelLastD = AsChannelLastDict = AsChannelLastd\nAddChannelD = AddChannelDict = AddChanneld\nEnsureChannelFirstD = EnsureChannelFirstDict = EnsureChannelFirstd\nRemoveRepeatedChannelD = RemoveRepeatedChannelDict = RemoveRepeatedChanneld\nRepeatChannelD = RepeatChannelDict = RepeatChanneld\nSplitChannelD = SplitChannelDict = SplitChanneld\nCastToTypeD = CastToTypeDict = CastToTyped\nToTensorD = ToTensorDict = ToTensord\nToNumpyD = ToNumpyDict = ToNumpyd\nToPILD = ToPILDict = ToPILd\nDeleteItemsD = DeleteItemsDict = DeleteItemsd\nSqueezeDimD = SqueezeDimDict = SqueezeDimd\nDataStatsD = DataStatsDict = DataStatsd\nSimulateDelayD = SimulateDelayDict = SimulateDelayd\nCopyItemsD = CopyItemsDict = CopyItemsd\nConcatItemsD = ConcatItemsDict = ConcatItemsd\nLambdaD = LambdaDict = Lambdad\nLabelToMaskD = LabelToMaskDict = LabelToMaskd\nFgBgToIndicesD = FgBgToIndicesDict = FgBgToIndicesd\nConvertToMultiChannelBasedOnBratsClassesD = (\n ConvertToMultiChannelBasedOnBratsClassesDict\n) = ConvertToMultiChannelBasedOnBratsClassesd\nAddExtremePointsChannelD = AddExtremePointsChannelDict = AddExtremePointsChanneld\nTorchVisionD = TorchVisionDict = TorchVisiond\nRandLambdaD = RandLambdaDict = RandLambdad\nMapLabelValueD = MapLabelValueDict = MapLabelValued\n", "path": "monai/transforms/utility/dictionary.py" } ]
diff --git a/monai/transforms/utility/dictionary.py b/monai/transforms/utility/dictionary.py index e7cf63e210..63ed6ec305 100644 --- a/monai/transforms/utility/dictionary.py +++ b/monai/transforms/utility/dictionary.py @@ -675,8 +675,6 @@ def __init__(self, keys: KeysCollection, name: str, dim: int = 0, allow_missing_ """ super().__init__(keys, allow_missing_keys) - if len(self.keys) < 2: - raise ValueError("Concatenation requires at least 2 keys.") self.name = name self.dim = dim diff --git a/tests/test_concat_itemsd.py b/tests/test_concat_itemsd.py index 520833fc88..9c51e1efea 100644 --- a/tests/test_concat_itemsd.py +++ b/tests/test_concat_itemsd.py @@ -38,6 +38,20 @@ def test_numpy_values(self): np.testing.assert_allclose(result["img1"], np.array([[0, 1], [1, 2]])) np.testing.assert_allclose(result["cat_img"], np.array([[1, 2], [2, 3], [1, 2], [2, 3]])) + def test_single_numpy(self): + input_data = {"img": np.array([[0, 1], [1, 2]])} + result = ConcatItemsd(keys="img", name="cat_img")(input_data) + result["cat_img"] += 1 + np.testing.assert_allclose(result["img"], np.array([[0, 1], [1, 2]])) + np.testing.assert_allclose(result["cat_img"], np.array([[1, 2], [2, 3]])) + + def test_single_tensor(self): + input_data = {"img": torch.tensor([[0, 1], [1, 2]])} + result = ConcatItemsd(keys="img", name="cat_img")(input_data) + result["cat_img"] += 1 + torch.testing.assert_allclose(result["img"], torch.tensor([[0, 1], [1, 2]])) + torch.testing.assert_allclose(result["cat_img"], torch.tensor([[1, 2], [2, 3]])) + if __name__ == "__main__": unittest.main()
allows for single key in `ConcatItemsd` Hi everyone I'm using `ConcatItemsd` for concatenating the inputs from multi-modalities images. During development sometimes I adjust the number of modalities of inputs, even to single modality. However I found that `ConcatItemsd` in monai currently does not allow this, with an exception raised [here](https://github.com/Project-MONAI/MONAI/blob/master/monai/transforms/utility/dictionary.py#L678-L679). This restriction is inconvenient for me and personally I can't find the point of this restriction because both `numpy.concatenate` and `torch.cat` work fine with an input list of length 1. I'd like to hear your opinions on this :) _Originally posted by @function2-llx in https://github.com/Project-MONAI/MONAI/discussions/1880_
pre-commit__pre-commit-2272
[ { "content": "from __future__ import annotations\n\nimport logging\nimport os.path\nimport sys\nfrom typing import MutableMapping\n\nfrom pre_commit.errors import FatalError\nfrom pre_commit.util import CalledProcessError\nfrom pre_commit.util import cmd_output\nfrom pre_commit.util import cmd_output_b\n\nlogger = logging.getLogger(__name__)\n\n# see #2046\nNO_FS_MONITOR = ('-c', 'core.useBuiltinFSMonitor=false')\n\n\ndef zsplit(s: str) -> list[str]:\n s = s.strip('\\0')\n if s:\n return s.split('\\0')\n else:\n return []\n\n\ndef no_git_env(\n _env: MutableMapping[str, str] | None = None,\n) -> dict[str, str]:\n # Too many bugs dealing with environment variables and GIT:\n # https://github.com/pre-commit/pre-commit/issues/300\n # In git 2.6.3 (maybe others), git exports GIT_WORK_TREE while running\n # pre-commit hooks\n # In git 1.9.1 (maybe others), git exports GIT_DIR and GIT_INDEX_FILE\n # while running pre-commit hooks in submodules.\n # GIT_DIR: Causes git clone to clone wrong thing\n # GIT_INDEX_FILE: Causes 'error invalid object ...' during commit\n _env = _env if _env is not None else os.environ\n return {\n k: v for k, v in _env.items()\n if not k.startswith('GIT_') or\n k.startswith(('GIT_CONFIG_KEY_', 'GIT_CONFIG_VALUE_')) or\n k in {\n 'GIT_EXEC_PATH', 'GIT_SSH', 'GIT_SSH_COMMAND', 'GIT_SSL_CAINFO',\n 'GIT_SSL_NO_VERIFY', 'GIT_CONFIG_COUNT',\n }\n }\n\n\ndef get_root() -> str:\n # Git 2.25 introduced a change to \"rev-parse --show-toplevel\" that exposed\n # underlying volumes for Windows drives mapped with SUBST. We use\n # \"rev-parse --show-cdup\" to get the appropriate path, but must perform\n # an extra check to see if we are in the .git directory.\n try:\n root = os.path.abspath(\n cmd_output('git', 'rev-parse', '--show-cdup')[1].strip(),\n )\n git_dir = os.path.abspath(get_git_dir())\n except CalledProcessError:\n raise FatalError(\n 'git failed. Is it installed, and are you in a Git repository '\n 'directory?',\n )\n if os.path.samefile(root, git_dir):\n raise FatalError(\n 'git toplevel unexpectedly empty! make sure you are not '\n 'inside the `.git` directory of your repository.',\n )\n return root\n\n\ndef get_git_dir(git_root: str = '.') -> str:\n opts = ('--git-common-dir', '--git-dir')\n _, out, _ = cmd_output('git', 'rev-parse', *opts, cwd=git_root)\n for line, opt in zip(out.splitlines(), opts):\n if line != opt: # pragma: no branch (git < 2.5)\n return os.path.normpath(os.path.join(git_root, line))\n else:\n raise AssertionError('unreachable: no git dir')\n\n\ndef get_remote_url(git_root: str) -> str:\n _, out, _ = cmd_output('git', 'config', 'remote.origin.url', cwd=git_root)\n return out.strip()\n\n\ndef is_in_merge_conflict() -> bool:\n git_dir = get_git_dir('.')\n return (\n os.path.exists(os.path.join(git_dir, 'MERGE_MSG')) and\n os.path.exists(os.path.join(git_dir, 'MERGE_HEAD'))\n )\n\n\ndef parse_merge_msg_for_conflicts(merge_msg: bytes) -> list[str]:\n # Conflicted files start with tabs\n return [\n line.lstrip(b'#').strip().decode()\n for line in merge_msg.splitlines()\n # '#\\t' for git 2.4.1\n if line.startswith((b'\\t', b'#\\t'))\n ]\n\n\ndef get_conflicted_files() -> set[str]:\n logger.info('Checking merge-conflict files only.')\n # Need to get the conflicted files from the MERGE_MSG because they could\n # have resolved the conflict by choosing one side or the other\n with open(os.path.join(get_git_dir('.'), 'MERGE_MSG'), 'rb') as f:\n merge_msg = f.read()\n merge_conflict_filenames = parse_merge_msg_for_conflicts(merge_msg)\n\n # This will get the rest of the changes made after the merge.\n # If they resolved the merge conflict by choosing a mesh of both sides\n # this will also include the conflicted files\n tree_hash = cmd_output('git', 'write-tree')[1].strip()\n merge_diff_filenames = zsplit(\n cmd_output(\n 'git', 'diff', '--name-only', '--no-ext-diff', '-z',\n '-m', tree_hash, 'HEAD', 'MERGE_HEAD',\n )[1],\n )\n return set(merge_conflict_filenames) | set(merge_diff_filenames)\n\n\ndef get_staged_files(cwd: str | None = None) -> list[str]:\n return zsplit(\n cmd_output(\n 'git', 'diff', '--staged', '--name-only', '--no-ext-diff', '-z',\n # Everything except for D\n '--diff-filter=ACMRTUXB',\n cwd=cwd,\n )[1],\n )\n\n\ndef intent_to_add_files() -> list[str]:\n _, stdout, _ = cmd_output(\n 'git', 'status', '--ignore-submodules', '--porcelain', '-z',\n )\n parts = list(reversed(zsplit(stdout)))\n intent_to_add = []\n while parts:\n line = parts.pop()\n status, filename = line[:3], line[3:]\n if status[0] in {'C', 'R'}: # renames / moves have an additional arg\n parts.pop()\n if status[1] == 'A':\n intent_to_add.append(filename)\n return intent_to_add\n\n\ndef get_all_files() -> list[str]:\n return zsplit(cmd_output('git', 'ls-files', '-z')[1])\n\n\ndef get_changed_files(old: str, new: str) -> list[str]:\n diff_cmd = ('git', 'diff', '--name-only', '--no-ext-diff', '-z')\n try:\n _, out, _ = cmd_output(*diff_cmd, f'{old}...{new}')\n except CalledProcessError: # pragma: no cover (new git)\n # on newer git where old and new do not have a merge base git fails\n # so we try a full diff (this is what old git did for us!)\n _, out, _ = cmd_output(*diff_cmd, f'{old}..{new}')\n\n return zsplit(out)\n\n\ndef head_rev(remote: str) -> str:\n _, out, _ = cmd_output('git', 'ls-remote', '--exit-code', remote, 'HEAD')\n return out.split()[0]\n\n\ndef has_diff(*args: str, repo: str = '.') -> bool:\n cmd = ('git', 'diff', '--quiet', '--no-ext-diff', *args)\n return cmd_output_b(*cmd, cwd=repo, retcode=None)[0] == 1\n\n\ndef has_core_hookpaths_set() -> bool:\n _, out, _ = cmd_output_b('git', 'config', 'core.hooksPath', retcode=None)\n return bool(out.strip())\n\n\ndef init_repo(path: str, remote: str) -> None:\n if os.path.isdir(remote):\n remote = os.path.abspath(remote)\n\n git = ('git', *NO_FS_MONITOR)\n env = no_git_env()\n # avoid the user's template so that hooks do not recurse\n cmd_output_b(*git, 'init', '--template=', path, env=env)\n cmd_output_b(*git, 'remote', 'add', 'origin', remote, cwd=path, env=env)\n\n\ndef commit(repo: str = '.') -> None:\n env = no_git_env()\n name, email = 'pre-commit', '[email protected]'\n env['GIT_AUTHOR_NAME'] = env['GIT_COMMITTER_NAME'] = name\n env['GIT_AUTHOR_EMAIL'] = env['GIT_COMMITTER_EMAIL'] = email\n cmd = ('git', 'commit', '--no-edit', '--no-gpg-sign', '-n', '-minit')\n cmd_output_b(*cmd, cwd=repo, env=env)\n\n\ndef git_path(name: str, repo: str = '.') -> str:\n _, out, _ = cmd_output('git', 'rev-parse', '--git-path', name, cwd=repo)\n return os.path.join(repo, out.strip())\n\n\ndef check_for_cygwin_mismatch() -> None:\n \"\"\"See https://github.com/pre-commit/pre-commit/issues/354\"\"\"\n if sys.platform in ('cygwin', 'win32'): # pragma: no cover (windows)\n is_cygwin_python = sys.platform == 'cygwin'\n try:\n toplevel = get_root()\n except FatalError: # skip the check if we're not in a git repo\n return\n is_cygwin_git = toplevel.startswith('/')\n\n if is_cygwin_python ^ is_cygwin_git:\n exe_type = {True: '(cygwin)', False: '(windows)'}\n logger.warn(\n f'pre-commit has detected a mix of cygwin python / git\\n'\n f'This combination is not supported, it is likely you will '\n f'receive an error later in the program.\\n'\n f'Make sure to use cygwin git+python while using cygwin\\n'\n f'These can be installed through the cygwin installer.\\n'\n f' - python {exe_type[is_cygwin_python]}\\n'\n f' - git {exe_type[is_cygwin_git]}\\n',\n )\n", "path": "pre_commit/git.py" } ]
[ { "content": "from __future__ import annotations\n\nimport logging\nimport os.path\nimport sys\nfrom typing import MutableMapping\n\nfrom pre_commit.errors import FatalError\nfrom pre_commit.util import CalledProcessError\nfrom pre_commit.util import cmd_output\nfrom pre_commit.util import cmd_output_b\n\nlogger = logging.getLogger(__name__)\n\n# see #2046\nNO_FS_MONITOR = ('-c', 'core.useBuiltinFSMonitor=false')\n\n\ndef zsplit(s: str) -> list[str]:\n s = s.strip('\\0')\n if s:\n return s.split('\\0')\n else:\n return []\n\n\ndef no_git_env(\n _env: MutableMapping[str, str] | None = None,\n) -> dict[str, str]:\n # Too many bugs dealing with environment variables and GIT:\n # https://github.com/pre-commit/pre-commit/issues/300\n # In git 2.6.3 (maybe others), git exports GIT_WORK_TREE while running\n # pre-commit hooks\n # In git 1.9.1 (maybe others), git exports GIT_DIR and GIT_INDEX_FILE\n # while running pre-commit hooks in submodules.\n # GIT_DIR: Causes git clone to clone wrong thing\n # GIT_INDEX_FILE: Causes 'error invalid object ...' during commit\n _env = _env if _env is not None else os.environ\n return {\n k: v for k, v in _env.items()\n if not k.startswith('GIT_') or\n k.startswith(('GIT_CONFIG_KEY_', 'GIT_CONFIG_VALUE_')) or\n k in {\n 'GIT_EXEC_PATH', 'GIT_SSH', 'GIT_SSH_COMMAND', 'GIT_SSL_CAINFO',\n 'GIT_SSL_NO_VERIFY', 'GIT_CONFIG_COUNT',\n 'GIT_HTTP_PROXY_AUTHMETHOD',\n }\n }\n\n\ndef get_root() -> str:\n # Git 2.25 introduced a change to \"rev-parse --show-toplevel\" that exposed\n # underlying volumes for Windows drives mapped with SUBST. We use\n # \"rev-parse --show-cdup\" to get the appropriate path, but must perform\n # an extra check to see if we are in the .git directory.\n try:\n root = os.path.abspath(\n cmd_output('git', 'rev-parse', '--show-cdup')[1].strip(),\n )\n git_dir = os.path.abspath(get_git_dir())\n except CalledProcessError:\n raise FatalError(\n 'git failed. Is it installed, and are you in a Git repository '\n 'directory?',\n )\n if os.path.samefile(root, git_dir):\n raise FatalError(\n 'git toplevel unexpectedly empty! make sure you are not '\n 'inside the `.git` directory of your repository.',\n )\n return root\n\n\ndef get_git_dir(git_root: str = '.') -> str:\n opts = ('--git-common-dir', '--git-dir')\n _, out, _ = cmd_output('git', 'rev-parse', *opts, cwd=git_root)\n for line, opt in zip(out.splitlines(), opts):\n if line != opt: # pragma: no branch (git < 2.5)\n return os.path.normpath(os.path.join(git_root, line))\n else:\n raise AssertionError('unreachable: no git dir')\n\n\ndef get_remote_url(git_root: str) -> str:\n _, out, _ = cmd_output('git', 'config', 'remote.origin.url', cwd=git_root)\n return out.strip()\n\n\ndef is_in_merge_conflict() -> bool:\n git_dir = get_git_dir('.')\n return (\n os.path.exists(os.path.join(git_dir, 'MERGE_MSG')) and\n os.path.exists(os.path.join(git_dir, 'MERGE_HEAD'))\n )\n\n\ndef parse_merge_msg_for_conflicts(merge_msg: bytes) -> list[str]:\n # Conflicted files start with tabs\n return [\n line.lstrip(b'#').strip().decode()\n for line in merge_msg.splitlines()\n # '#\\t' for git 2.4.1\n if line.startswith((b'\\t', b'#\\t'))\n ]\n\n\ndef get_conflicted_files() -> set[str]:\n logger.info('Checking merge-conflict files only.')\n # Need to get the conflicted files from the MERGE_MSG because they could\n # have resolved the conflict by choosing one side or the other\n with open(os.path.join(get_git_dir('.'), 'MERGE_MSG'), 'rb') as f:\n merge_msg = f.read()\n merge_conflict_filenames = parse_merge_msg_for_conflicts(merge_msg)\n\n # This will get the rest of the changes made after the merge.\n # If they resolved the merge conflict by choosing a mesh of both sides\n # this will also include the conflicted files\n tree_hash = cmd_output('git', 'write-tree')[1].strip()\n merge_diff_filenames = zsplit(\n cmd_output(\n 'git', 'diff', '--name-only', '--no-ext-diff', '-z',\n '-m', tree_hash, 'HEAD', 'MERGE_HEAD',\n )[1],\n )\n return set(merge_conflict_filenames) | set(merge_diff_filenames)\n\n\ndef get_staged_files(cwd: str | None = None) -> list[str]:\n return zsplit(\n cmd_output(\n 'git', 'diff', '--staged', '--name-only', '--no-ext-diff', '-z',\n # Everything except for D\n '--diff-filter=ACMRTUXB',\n cwd=cwd,\n )[1],\n )\n\n\ndef intent_to_add_files() -> list[str]:\n _, stdout, _ = cmd_output(\n 'git', 'status', '--ignore-submodules', '--porcelain', '-z',\n )\n parts = list(reversed(zsplit(stdout)))\n intent_to_add = []\n while parts:\n line = parts.pop()\n status, filename = line[:3], line[3:]\n if status[0] in {'C', 'R'}: # renames / moves have an additional arg\n parts.pop()\n if status[1] == 'A':\n intent_to_add.append(filename)\n return intent_to_add\n\n\ndef get_all_files() -> list[str]:\n return zsplit(cmd_output('git', 'ls-files', '-z')[1])\n\n\ndef get_changed_files(old: str, new: str) -> list[str]:\n diff_cmd = ('git', 'diff', '--name-only', '--no-ext-diff', '-z')\n try:\n _, out, _ = cmd_output(*diff_cmd, f'{old}...{new}')\n except CalledProcessError: # pragma: no cover (new git)\n # on newer git where old and new do not have a merge base git fails\n # so we try a full diff (this is what old git did for us!)\n _, out, _ = cmd_output(*diff_cmd, f'{old}..{new}')\n\n return zsplit(out)\n\n\ndef head_rev(remote: str) -> str:\n _, out, _ = cmd_output('git', 'ls-remote', '--exit-code', remote, 'HEAD')\n return out.split()[0]\n\n\ndef has_diff(*args: str, repo: str = '.') -> bool:\n cmd = ('git', 'diff', '--quiet', '--no-ext-diff', *args)\n return cmd_output_b(*cmd, cwd=repo, retcode=None)[0] == 1\n\n\ndef has_core_hookpaths_set() -> bool:\n _, out, _ = cmd_output_b('git', 'config', 'core.hooksPath', retcode=None)\n return bool(out.strip())\n\n\ndef init_repo(path: str, remote: str) -> None:\n if os.path.isdir(remote):\n remote = os.path.abspath(remote)\n\n git = ('git', *NO_FS_MONITOR)\n env = no_git_env()\n # avoid the user's template so that hooks do not recurse\n cmd_output_b(*git, 'init', '--template=', path, env=env)\n cmd_output_b(*git, 'remote', 'add', 'origin', remote, cwd=path, env=env)\n\n\ndef commit(repo: str = '.') -> None:\n env = no_git_env()\n name, email = 'pre-commit', '[email protected]'\n env['GIT_AUTHOR_NAME'] = env['GIT_COMMITTER_NAME'] = name\n env['GIT_AUTHOR_EMAIL'] = env['GIT_COMMITTER_EMAIL'] = email\n cmd = ('git', 'commit', '--no-edit', '--no-gpg-sign', '-n', '-minit')\n cmd_output_b(*cmd, cwd=repo, env=env)\n\n\ndef git_path(name: str, repo: str = '.') -> str:\n _, out, _ = cmd_output('git', 'rev-parse', '--git-path', name, cwd=repo)\n return os.path.join(repo, out.strip())\n\n\ndef check_for_cygwin_mismatch() -> None:\n \"\"\"See https://github.com/pre-commit/pre-commit/issues/354\"\"\"\n if sys.platform in ('cygwin', 'win32'): # pragma: no cover (windows)\n is_cygwin_python = sys.platform == 'cygwin'\n try:\n toplevel = get_root()\n except FatalError: # skip the check if we're not in a git repo\n return\n is_cygwin_git = toplevel.startswith('/')\n\n if is_cygwin_python ^ is_cygwin_git:\n exe_type = {True: '(cygwin)', False: '(windows)'}\n logger.warn(\n f'pre-commit has detected a mix of cygwin python / git\\n'\n f'This combination is not supported, it is likely you will '\n f'receive an error later in the program.\\n'\n f'Make sure to use cygwin git+python while using cygwin\\n'\n f'These can be installed through the cygwin installer.\\n'\n f' - python {exe_type[is_cygwin_python]}\\n'\n f' - git {exe_type[is_cygwin_git]}\\n',\n )\n", "path": "pre_commit/git.py" } ]
diff --git a/pre_commit/git.py b/pre_commit/git.py index 67499cdb8..853f4b0d0 100644 --- a/pre_commit/git.py +++ b/pre_commit/git.py @@ -43,6 +43,7 @@ def no_git_env( k in { 'GIT_EXEC_PATH', 'GIT_SSH', 'GIT_SSH_COMMAND', 'GIT_SSL_CAINFO', 'GIT_SSL_NO_VERIFY', 'GIT_CONFIG_COUNT', + 'GIT_HTTP_PROXY_AUTHMETHOD', } }
Add GIT_HTTP_PROXY_AUTHMETHOD to kept environment variables ### describe your issue On the cluster I work on, there’s a proxy. It’s… Let’s just say that proxy is being a pain, and to make it work we have to set the environment variable GIT_HTTP_PROXY_AUTHMETHOD. In pre_commit/git.py however, only a small subset of variables are kept, and that one is not among them. So, sure, I can (and did) edit the script to keep that one too (and it works now) but it’s not ideal. ### pre-commit --version pre-commit 2.17.0 ### .pre-commit-config.yaml ```yaml Not relevant ``` ### ~/.cache/pre-commit/pre-commit.log (if present) _No response_
ray-project__ray-10593
[ { "content": "import ray\n\n\nclass JobConfig:\n \"\"\"A class used to store the configurations of a job.\n\n Attributes:\n worker_env (dict): Environment variables to be set on worker\n processes.\n num_java_workers_per_process (int): The number of java workers per\n worker process.\n jvm_options (str[]): The jvm options for java workers of the job.\n \"\"\"\n\n def __init__(\n self,\n worker_env=None,\n num_java_workers_per_process=10,\n jvm_options=None,\n ):\n if worker_env is None:\n self.worker_env = dict()\n else:\n self.worker_env = worker_env\n self.num_java_workers_per_process = num_java_workers_per_process\n if jvm_options is None:\n self.jvm_options = []\n else:\n self.jvm_options = jvm_options\n\n def serialize(self):\n job_config = ray.gcs_utils.JobConfig()\n for key in self.worker_env:\n job_config.worker_env[key] = self.worker_env[key]\n job_config.num_java_workers_per_process = (\n self.num_java_workers_per_process)\n job_config.jvm_options.extend(self.jvm_options)\n return job_config.SerializeToString()\n", "path": "python/ray/job_config.py" } ]
[ { "content": "import ray\n\n\nclass JobConfig:\n \"\"\"A class used to store the configurations of a job.\n\n Attributes:\n worker_env (dict): Environment variables to be set on worker\n processes.\n num_java_workers_per_process (int): The number of java workers per\n worker process.\n jvm_options (str[]): The jvm options for java workers of the job.\n \"\"\"\n\n def __init__(\n self,\n worker_env=None,\n num_java_workers_per_process=1,\n jvm_options=None,\n ):\n if worker_env is None:\n self.worker_env = dict()\n else:\n self.worker_env = worker_env\n self.num_java_workers_per_process = num_java_workers_per_process\n if jvm_options is None:\n self.jvm_options = []\n else:\n self.jvm_options = jvm_options\n\n def serialize(self):\n job_config = ray.gcs_utils.JobConfig()\n for key in self.worker_env:\n job_config.worker_env[key] = self.worker_env[key]\n job_config.num_java_workers_per_process = (\n self.num_java_workers_per_process)\n job_config.jvm_options.extend(self.jvm_options)\n return job_config.SerializeToString()\n", "path": "python/ray/job_config.py" } ]
diff --git a/java/runtime/src/main/java/io/ray/runtime/config/RayConfig.java b/java/runtime/src/main/java/io/ray/runtime/config/RayConfig.java index 1c80a6d869eac..5c8b90e667efa 100644 --- a/java/runtime/src/main/java/io/ray/runtime/config/RayConfig.java +++ b/java/runtime/src/main/java/io/ray/runtime/config/RayConfig.java @@ -31,8 +31,6 @@ public class RayConfig { public static final String DEFAULT_CONFIG_FILE = "ray.default.conf"; public static final String CUSTOM_CONFIG_FILE = "ray.conf"; - private static int DEFAULT_NUM_JAVA_WORKER_PER_PROCESS = 10; - private static final Random RANDOM = new Random(); private static final DateTimeFormatter DATE_TIME_FORMATTER = @@ -97,7 +95,6 @@ public static void reset() { } } - public final int numWorkersPerProcess; public final List<String> jvmOptionsForJavaWorker; @@ -238,14 +235,13 @@ public RayConfig(Config config) { } if (!enableMultiTenancy) { - numWorkersPerProcess = config.getInt("ray.raylet.config.num_workers_per_process_java"); - } else { - final int localNumWorkersPerProcess = config.getInt("ray.job.num-java-workers-per-process"); - if (localNumWorkersPerProcess <= 0) { - numWorkersPerProcess = DEFAULT_NUM_JAVA_WORKER_PER_PROCESS; + if (!isDriver) { + numWorkersPerProcess = config.getInt("ray.raylet.config.num_workers_per_process_java"); } else { - numWorkersPerProcess = localNumWorkersPerProcess; + numWorkersPerProcess = 1; // Actually this value isn't used in RayNativeRuntime. } + } else { + numWorkersPerProcess = config.getInt("ray.job.num-java-workers-per-process"); } // Validate config. diff --git a/java/runtime/src/main/resources/ray.default.conf b/java/runtime/src/main/resources/ray.default.conf index b3fa59520bd2b..66002f48d5b76 100644 --- a/java/runtime/src/main/resources/ray.default.conf +++ b/java/runtime/src/main/resources/ray.default.conf @@ -27,7 +27,7 @@ ray { // the path for job 123 will be '/tmp/job_resources/123'. resource-path: "" /// The number of java worker per worker process. - num-java-workers-per-process: 10 + num-java-workers-per-process: 1 /// The jvm options for java workers of the job. jvm-options: [] // Environment variables to be set on worker processes. @@ -98,7 +98,6 @@ ray { raylet { // See src/ray/ray_config_def.h for options. config { - num_workers_per_process_java: 10 // TODO(zhuohan): enable this for java put_small_object_in_memory_store: false } diff --git a/java/test.sh b/java/test.sh index 875522f5c7a81..32105a15848af 100755 --- a/java/test.sh +++ b/java/test.sh @@ -33,15 +33,18 @@ bazel build //java:gen_maven_deps echo "Build test jar." bazel build //java:all_tests_deploy.jar +# Enable multi-worker feature in Java test +TEST_ARGS=(-Dray.raylet.config.num_workers_per_process_java=10 -Dray.job.num-java-workers-per-process=10) + echo "Running tests under cluster mode." # TODO(hchen): Ideally, we should use the following bazel command to run Java tests. However, if there're skipped tests, # TestNG will exit with code 2. And bazel treats it as test failure. # bazel test //java:all_tests --action_env=ENABLE_MULTI_LANGUAGE_TESTS=1 --config=ci || cluster_exit_code=$? -ENABLE_MULTI_LANGUAGE_TESTS=1 run_testng java -cp "$ROOT_DIR"/../bazel-bin/java/all_tests_deploy.jar org.testng.TestNG -d /tmp/ray_java_test_output "$ROOT_DIR"/testng.xml +ENABLE_MULTI_LANGUAGE_TESTS=1 run_testng java -cp "$ROOT_DIR"/../bazel-bin/java/all_tests_deploy.jar "${TEST_ARGS[@]}" org.testng.TestNG -d /tmp/ray_java_test_output "$ROOT_DIR"/testng.xml echo "Running tests under single-process mode." # bazel test //java:all_tests --jvmopt="-Dray.run-mode=SINGLE_PROCESS" --config=ci || single_exit_code=$? -run_testng java -Dray.run-mode="SINGLE_PROCESS" -cp "$ROOT_DIR"/../bazel-bin/java/all_tests_deploy.jar org.testng.TestNG -d /tmp/ray_java_test_output "$ROOT_DIR"/testng.xml +run_testng java -Dray.run-mode="SINGLE_PROCESS" -cp "$ROOT_DIR"/../bazel-bin/java/all_tests_deploy.jar "${TEST_ARGS[@]}" org.testng.TestNG -d /tmp/ray_java_test_output "$ROOT_DIR"/testng.xml popd diff --git a/java/test/src/main/java/io/ray/test/ClassLoaderTest.java b/java/test/src/main/java/io/ray/test/ClassLoaderTest.java index e5f43e2d06b7c..b6b769f62df51 100644 --- a/java/test/src/main/java/io/ray/test/ClassLoaderTest.java +++ b/java/test/src/main/java/io/ray/test/ClassLoaderTest.java @@ -40,7 +40,7 @@ public void tearDown() { @Test(groups = {"cluster"}) public void testClassLoaderInMultiThreading() throws Exception { - Assert.assertTrue(TestUtils.getRuntime().getRayConfig().numWorkersPerProcess > 1); + Assert.assertTrue(TestUtils.getNumWorkersPerProcess() > 1); final String jobResourcePath = resourcePath + "/" + Ray.getRuntimeContext().getCurrentJobId(); File jobResourceDir = new File(jobResourcePath); diff --git a/java/test/src/main/java/io/ray/test/ExitActorTest.java b/java/test/src/main/java/io/ray/test/ExitActorTest.java index 4ca537bc88837..9c95cb960bb68 100644 --- a/java/test/src/main/java/io/ray/test/ExitActorTest.java +++ b/java/test/src/main/java/io/ray/test/ExitActorTest.java @@ -73,7 +73,7 @@ public void testExitActor() throws IOException, InterruptedException { } public void testExitActorInMultiWorker() { - Assert.assertTrue(TestUtils.getRuntime().getRayConfig().numWorkersPerProcess > 1); + Assert.assertTrue(TestUtils.getNumWorkersPerProcess() > 1); ActorHandle<ExitingActor> actor1 = Ray.actor(ExitingActor::new) .setMaxRestarts(10000).remote(); int pid = actor1.task(ExitingActor::getPid).remote().get(); diff --git a/java/test/src/main/java/io/ray/test/FailureTest.java b/java/test/src/main/java/io/ray/test/FailureTest.java index 15de867d7eec7..2bcfa8c0f459a 100644 --- a/java/test/src/main/java/io/ray/test/FailureTest.java +++ b/java/test/src/main/java/io/ray/test/FailureTest.java @@ -21,17 +21,20 @@ public class FailureTest extends BaseTest { private static final String EXCEPTION_MESSAGE = "Oops"; + private String oldNumWorkersPerProcess; + @BeforeClass public void setUp() { // This is needed by `testGetThrowsQuicklyWhenFoundException`. // Set one worker per process. Otherwise, if `badFunc2` and `slowFunc` run in the same // process, `sleep` will delay `System.exit`. + oldNumWorkersPerProcess = System.getProperty("ray.raylet.config.num_workers_per_process_java"); System.setProperty("ray.raylet.config.num_workers_per_process_java", "1"); } @AfterClass public void tearDown() { - System.clearProperty("ray.raylet.config.num_workers_per_process_java"); + System.setProperty("ray.raylet.config.num_workers_per_process_java", oldNumWorkersPerProcess); } public static int badFunc() { diff --git a/java/test/src/main/java/io/ray/test/JobConfigTest.java b/java/test/src/main/java/io/ray/test/JobConfigTest.java index 5bb4ea48a57d1..f7a7b79c313d5 100644 --- a/java/test/src/main/java/io/ray/test/JobConfigTest.java +++ b/java/test/src/main/java/io/ray/test/JobConfigTest.java @@ -1,7 +1,6 @@ package io.ray.test; import io.ray.api.ActorHandle; -import io.ray.api.ObjectRef; import io.ray.api.Ray; import org.testng.Assert; import org.testng.annotations.AfterClass; @@ -11,9 +10,12 @@ @Test(groups = {"cluster"}) public class JobConfigTest extends BaseTest { + private String oldNumWorkersPerProcess; + @BeforeClass public void setupJobConfig() { System.setProperty("ray.raylet.config.enable_multi_tenancy", "true"); + oldNumWorkersPerProcess = System.getProperty("ray.job.num-java-workers-per-process"); System.setProperty("ray.job.num-java-workers-per-process", "3"); System.setProperty("ray.job.jvm-options.0", "-DX=999"); System.setProperty("ray.job.jvm-options.1", "-DY=998"); @@ -24,7 +26,7 @@ public void setupJobConfig() { @AfterClass public void tearDownJobConfig() { System.clearProperty("ray.raylet.config.enable_multi_tenancy"); - System.clearProperty("ray.job.num-java-workers-per-process"); + System.setProperty("ray.job.num-java-workers-per-process", oldNumWorkersPerProcess); System.clearProperty("ray.job.jvm-options.0"); System.clearProperty("ray.job.jvm-options.1"); System.clearProperty("ray.job.worker-env.foo1"); @@ -39,16 +41,8 @@ public static String getEnvVariable(String key) { return System.getenv(key); } - public static Integer getWorkersNum() { - return TestUtils.getRuntime().getRayConfig().numWorkersPerProcess; - } - public static class MyActor { - public Integer getWorkersNum() { - return TestUtils.getRuntime().getRayConfig().numWorkersPerProcess; - } - public String getJvmOptions(String propertyName) { return System.getProperty(propertyName); } @@ -68,9 +62,8 @@ public void testWorkerEnvVariable() { Assert.assertEquals("bar2", Ray.task(JobConfigTest::getEnvVariable, "foo2").remote().get()); } - public void testNumJavaWorkerPerProcess() { - ObjectRef<Integer> obj = Ray.task(JobConfigTest::getWorkersNum).remote(); - Assert.assertEquals(3, (int) obj.get()); + public void testNumJavaWorkersPerProcess() { + Assert.assertEquals(TestUtils.getNumWorkersPerProcess(), 3); } @@ -84,9 +77,5 @@ public void testInActor() { // test worker env variables Assert.assertEquals("bar1", Ray.task(MyActor::getEnvVariable, "foo1").remote().get()); Assert.assertEquals("bar2", Ray.task(MyActor::getEnvVariable, "foo2").remote().get()); - - // test workers number. - ObjectRef<Integer> obj2 = actor.task(MyActor::getWorkersNum).remote(); - Assert.assertEquals(3, (int) obj2.get()); } } diff --git a/java/test/src/main/java/io/ray/test/KillActorTest.java b/java/test/src/main/java/io/ray/test/KillActorTest.java index c8ad3b8ed4bb0..cf88896d81726 100644 --- a/java/test/src/main/java/io/ray/test/KillActorTest.java +++ b/java/test/src/main/java/io/ray/test/KillActorTest.java @@ -14,14 +14,17 @@ @Test(groups = {"cluster"}) public class KillActorTest extends BaseTest { + private String oldNumWorkersPerProcess; + @BeforeClass public void setUp() { + oldNumWorkersPerProcess = System.getProperty("ray.raylet.config.num_workers_per_process_java"); System.setProperty("ray.raylet.config.num_workers_per_process_java", "1"); } @AfterClass public void tearDown() { - System.clearProperty("ray.raylet.config.num_workers_per_process_java"); + System.setProperty("ray.raylet.config.num_workers_per_process_java", oldNumWorkersPerProcess); } public static class HangActor { diff --git a/java/test/src/main/java/io/ray/test/MultiThreadingTest.java b/java/test/src/main/java/io/ray/test/MultiThreadingTest.java index bbd360637dde2..f9371748dc0ff 100644 --- a/java/test/src/main/java/io/ray/test/MultiThreadingTest.java +++ b/java/test/src/main/java/io/ray/test/MultiThreadingTest.java @@ -19,7 +19,7 @@ import org.testng.Assert; import org.testng.annotations.Test; -@Test +@Test(groups = {"cluster"}) public class MultiThreadingTest extends BaseTest { private static final Logger LOGGER = LoggerFactory.getLogger(MultiThreadingTest.class); @@ -221,11 +221,6 @@ static boolean testMissingWrapRunnable() throws InterruptedException { return true; } - @Test - public void testMissingWrapRunnableInDriver() throws InterruptedException { - testMissingWrapRunnable(); - } - @Test public void testMissingWrapRunnableInWorker() { Ray.task(MultiThreadingTest::testMissingWrapRunnable).remote().get(); diff --git a/java/test/src/main/java/io/ray/test/TestUtils.java b/java/test/src/main/java/io/ray/test/TestUtils.java index 88f4d25cd34da..8075a40c287da 100644 --- a/java/test/src/main/java/io/ray/test/TestUtils.java +++ b/java/test/src/main/java/io/ray/test/TestUtils.java @@ -3,6 +3,7 @@ import com.google.common.base.Preconditions; import io.ray.api.ObjectRef; import io.ray.api.Ray; +import io.ray.runtime.AbstractRayRuntime; import io.ray.runtime.RayRuntimeInternal; import io.ray.runtime.RayRuntimeProxy; import io.ray.runtime.config.RunMode; @@ -83,8 +84,19 @@ public static RayRuntimeInternal getRuntime() { } public static RayRuntimeInternal getUnderlyingRuntime() { + if (Ray.internal() instanceof AbstractRayRuntime) { + return (RayRuntimeInternal) Ray.internal(); + } RayRuntimeProxy proxy = (RayRuntimeProxy) (java.lang.reflect.Proxy .getInvocationHandler(Ray.internal())); return proxy.getRuntimeObject(); } + + private static int getNumWorkersPerProcessRemoteFunction() { + return TestUtils.getRuntime().getRayConfig().numWorkersPerProcess; + } + + public static int getNumWorkersPerProcess() { + return Ray.task(TestUtils::getNumWorkersPerProcessRemoteFunction).remote().get(); + } } diff --git a/python/ray/job_config.py b/python/ray/job_config.py index b82160d999156..eedee46efe811 100644 --- a/python/ray/job_config.py +++ b/python/ray/job_config.py @@ -15,7 +15,7 @@ class JobConfig: def __init__( self, worker_env=None, - num_java_workers_per_process=10, + num_java_workers_per_process=1, jvm_options=None, ): if worker_env is None: diff --git a/src/ray/common/ray_config_def.h b/src/ray/common/ray_config_def.h index 08280b9b611d6..bfeefb26b2198 100644 --- a/src/ray/common/ray_config_def.h +++ b/src/ray/common/ray_config_def.h @@ -197,7 +197,7 @@ RAY_CONFIG(uint64_t, object_manager_default_chunk_size, 1000000) RAY_CONFIG(int, num_workers_per_process_python, 1) /// Number of workers per Java worker process -RAY_CONFIG(int, num_workers_per_process_java, 10) +RAY_CONFIG(int, num_workers_per_process_java, 1) /// Number of workers per CPP worker process RAY_CONFIG(int, num_workers_per_process_cpp, 1)
Make the multi-worker feature for Java worker experimental Right now, the multi-worker feature for Java worker is enabled by default, but the `ActorHandle::kill()` API doesn't work well if multi-worker is enabled because it will kill the whole process instead of one worker in the process. To avoid complaints from Java users, we should disable the multi-worker feature by default, but we still enable it in unit test.
projectmesa__mesa-451
[ { "content": "# -*- coding: utf-8 -*-\n\"\"\"\nMesa Agent-Based Modeling Framework\n\nCore Objects: Model, and Agent.\n\n\"\"\"\nimport datetime\n\nfrom .model import Model\nfrom .agent import Agent\n\n\n__all__ = [\"Model\", \"Agent\"]\n\n__title__ = 'mesa'\n__version__ = '0.8.2'\n__license__ = 'Apache 2.0'\n__copyright__ = 'Copyright %s Project Mesa Team' % datetime.date.today().year\n", "path": "mesa/__init__.py" } ]
[ { "content": "# -*- coding: utf-8 -*-\n\"\"\"\nMesa Agent-Based Modeling Framework\n\nCore Objects: Model, and Agent.\n\n\"\"\"\nimport datetime\n\nfrom .model import Model\nfrom .agent import Agent\n\n\n__all__ = [\"Model\", \"Agent\"]\n\n__title__ = 'mesa'\n__version__ = '0.8.3'\n__license__ = 'Apache 2.0'\n__copyright__ = 'Copyright %s Project Mesa Team' % datetime.date.today().year\n", "path": "mesa/__init__.py" } ]
diff --git a/HISTORY.rst b/HISTORY.rst index 26d814b97cd..c28976e1568 100644 --- a/HISTORY.rst +++ b/HISTORY.rst @@ -3,6 +3,36 @@ Release History --------------- +0.8.3 (2018-06-01) Hayden ++++++++++++++++++++++++++++++++++++++++++++ + +**Improvements** + +* Datacollector fix #445 +* A first network grid model with visualization, using NetworkX and sigma.js #388 +* Cache pip packages for Travis setup #427 +* Remove localhost hardcoding + allow secure sockets #421 +* Update Chart.js to version 2.7.1 #401 +* Bank reserves example #432 +* Extended Grid to support hexagonal grids #409 + +**Fixes** + +* Faster ContinuousSpace neighbor search #439 +* Updating license year to 2018 #450 +* Updating language on license in contributing file #446 +* Updating license year to 2018 #450 +* Removed mutable defaults from DataCollector constructor #434 +* [BUGFIX] Torus adjustment in Grid class #429 +* Batchrunfixedparameters #423 +* [BUGFIX] Fix sidebar visibility in Edge #436 +* Updating Travis svg to target #master, not branches. #343 +* Email list language updates and link updates #399 +* Fix math problems in flockers; use numpy in space #378 +* Only start tornado ioloop if necessary #339 +* ContinuousSpace: Fix get_distance calculation on toroidal boundary condition #430 + + 0.8.2 (2017-11-01) Gila Bend +++++++++++++++++++++++++++++++++++++++++++ diff --git a/mesa/__init__.py b/mesa/__init__.py index 43dc3a67d76..0c9cb554df9 100644 --- a/mesa/__init__.py +++ b/mesa/__init__.py @@ -14,6 +14,6 @@ __all__ = ["Model", "Agent"] __title__ = 'mesa' -__version__ = '0.8.2' +__version__ = '0.8.3' __license__ = 'Apache 2.0' __copyright__ = 'Copyright %s Project Mesa Team' % datetime.date.today().year
Datacollector fix Simplify the `DataCollector` API by allowing the user-provided model- and agent-level reporters to be the names of attributes, in addition to methods. e.g. instead of needing to write ``` agent_reporters={"Wealth": lambda a: a.wealth} ``` you can write ``` agent_reporters={"Wealth":"wealth"} ``` This PR implements this feature, and updates the tests and documentation accordingly.
googleapis__python-bigquery-1413
[ { "content": "# Copyright 2018 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport io\nimport os\n\nimport setuptools\n\n\n# Package metadata.\n\nname = \"google-cloud-bigquery\"\ndescription = \"Google BigQuery API client library\"\n\n# Should be one of:\n# 'Development Status :: 3 - Alpha'\n# 'Development Status :: 4 - Beta'\n# 'Development Status :: 5 - Production/Stable'\nrelease_status = \"Development Status :: 5 - Production/Stable\"\ndependencies = [\n \"grpcio >= 1.47.0, < 2.0dev\", # https://github.com/googleapis/python-bigquery/issues/1262\n # NOTE: Maintainers, please do not require google-api-core>=2.x.x\n # Until this issue is closed\n # https://github.com/googleapis/google-cloud-python/issues/10566\n \"google-api-core[grpc] >= 1.31.5, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0\",\n \"google-cloud-bigquery-storage >= 2.0.0, <3.0.0dev\",\n \"proto-plus >= 1.22.0, <2.0.0dev\",\n # NOTE: Maintainers, please do not require google-cloud-core>=2.x.x\n # Until this issue is closed\n # https://github.com/googleapis/google-cloud-python/issues/10566\n \"google-cloud-core >= 1.4.1, <3.0.0dev\",\n \"google-resumable-media >= 0.6.0, < 3.0dev\",\n \"packaging >= 14.3, <22.0.0dev\",\n \"protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5\", # For the legacy proto-based types.\n \"python-dateutil >= 2.7.2, <3.0dev\",\n \"pyarrow >= 3.0.0, < 11.0dev\",\n \"requests >= 2.21.0, < 3.0.0dev\",\n]\nextras = {\n # Keep the no-op bqstorage extra for backward compatibility.\n # See: https://github.com/googleapis/python-bigquery/issues/757\n \"bqstorage\": [],\n \"pandas\": [\"pandas>=1.0.0\", \"db-dtypes>=0.3.0,<2.0.0dev\"],\n \"ipywidgets\": [\"ipywidgets==7.7.1\"],\n \"geopandas\": [\"geopandas>=0.9.0, <1.0dev\", \"Shapely>=1.6.0, <2.0dev\"],\n \"ipython\": [\"ipython>=7.0.1,!=8.1.0\"],\n \"tqdm\": [\"tqdm >= 4.7.4, <5.0.0dev\"],\n \"opentelemetry\": [\n \"opentelemetry-api >= 1.1.0\",\n \"opentelemetry-sdk >= 1.1.0\",\n \"opentelemetry-instrumentation >= 0.20b0\",\n ],\n}\n\nall_extras = []\n\nfor extra in extras:\n all_extras.extend(extras[extra])\n\nextras[\"all\"] = all_extras\n\n# Setup boilerplate below this line.\n\npackage_root = os.path.abspath(os.path.dirname(__file__))\n\nreadme_filename = os.path.join(package_root, \"README.rst\")\nwith io.open(readme_filename, encoding=\"utf-8\") as readme_file:\n readme = readme_file.read()\n\nversion = {}\nwith open(os.path.join(package_root, \"google/cloud/bigquery/version.py\")) as fp:\n exec(fp.read(), version)\nversion = version[\"__version__\"]\n\n# Only include packages under the 'google' namespace. Do not include tests,\n# benchmarks, etc.\npackages = [\n package\n for package in setuptools.PEP420PackageFinder.find()\n if package.startswith(\"google\")\n]\n\n# Determine which namespaces are needed.\nnamespaces = [\"google\"]\nif \"google.cloud\" in packages:\n namespaces.append(\"google.cloud\")\n\n\nsetuptools.setup(\n name=name,\n version=version,\n description=description,\n long_description=readme,\n author=\"Google LLC\",\n author_email=\"[email protected]\",\n license=\"Apache 2.0\",\n url=\"https://github.com/googleapis/python-bigquery\",\n classifiers=[\n release_status,\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Programming Language :: Python\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Programming Language :: Python :: 3.10\",\n \"Operating System :: OS Independent\",\n \"Topic :: Internet\",\n ],\n platforms=\"Posix; MacOS X; Windows\",\n packages=packages,\n namespace_packages=namespaces,\n install_requires=dependencies,\n extras_require=extras,\n python_requires=\">=3.7, <3.11\",\n include_package_data=True,\n zip_safe=False,\n)\n", "path": "setup.py" } ]
[ { "content": "# Copyright 2018 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport io\nimport os\n\nimport setuptools\n\n\n# Package metadata.\n\nname = \"google-cloud-bigquery\"\ndescription = \"Google BigQuery API client library\"\n\n# Should be one of:\n# 'Development Status :: 3 - Alpha'\n# 'Development Status :: 4 - Beta'\n# 'Development Status :: 5 - Production/Stable'\nrelease_status = \"Development Status :: 5 - Production/Stable\"\ndependencies = [\n \"grpcio >= 1.47.0, < 2.0dev\", # https://github.com/googleapis/python-bigquery/issues/1262\n # NOTE: Maintainers, please do not require google-api-core>=2.x.x\n # Until this issue is closed\n # https://github.com/googleapis/google-cloud-python/issues/10566\n \"google-api-core[grpc] >= 1.31.5, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0\",\n \"google-cloud-bigquery-storage >= 2.0.0, <3.0.0dev\",\n \"proto-plus >= 1.22.0, <2.0.0dev\",\n # NOTE: Maintainers, please do not require google-cloud-core>=2.x.x\n # Until this issue is closed\n # https://github.com/googleapis/google-cloud-python/issues/10566\n \"google-cloud-core >= 1.4.1, <3.0.0dev\",\n \"google-resumable-media >= 0.6.0, < 3.0dev\",\n \"packaging >= 14.3, <22.0.0dev\",\n \"protobuf>=3.19.5,<5.0.0dev,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5\", # For the legacy proto-based types.\n \"python-dateutil >= 2.7.2, <3.0dev\",\n \"pyarrow >= 3.0.0, < 11.0dev\",\n \"requests >= 2.21.0, < 3.0.0dev\",\n]\nextras = {\n # Keep the no-op bqstorage extra for backward compatibility.\n # See: https://github.com/googleapis/python-bigquery/issues/757\n \"bqstorage\": [],\n \"pandas\": [\"pandas>=1.0.0\", \"db-dtypes>=0.3.0,<2.0.0dev\"],\n \"ipywidgets\": [\"ipywidgets==7.7.1\"],\n \"geopandas\": [\"geopandas>=0.9.0, <1.0dev\", \"Shapely>=1.6.0, <2.0dev\"],\n \"ipython\": [\"ipython>=7.0.1,!=8.1.0\"],\n \"tqdm\": [\"tqdm >= 4.7.4, <5.0.0dev\"],\n \"opentelemetry\": [\n \"opentelemetry-api >= 1.1.0\",\n \"opentelemetry-sdk >= 1.1.0\",\n \"opentelemetry-instrumentation >= 0.20b0\",\n ],\n}\n\nall_extras = []\n\nfor extra in extras:\n all_extras.extend(extras[extra])\n\nextras[\"all\"] = all_extras\n\n# Setup boilerplate below this line.\n\npackage_root = os.path.abspath(os.path.dirname(__file__))\n\nreadme_filename = os.path.join(package_root, \"README.rst\")\nwith io.open(readme_filename, encoding=\"utf-8\") as readme_file:\n readme = readme_file.read()\n\nversion = {}\nwith open(os.path.join(package_root, \"google/cloud/bigquery/version.py\")) as fp:\n exec(fp.read(), version)\nversion = version[\"__version__\"]\n\n# Only include packages under the 'google' namespace. Do not include tests,\n# benchmarks, etc.\npackages = [\n package\n for package in setuptools.PEP420PackageFinder.find()\n if package.startswith(\"google\")\n]\n\n# Determine which namespaces are needed.\nnamespaces = [\"google\"]\nif \"google.cloud\" in packages:\n namespaces.append(\"google.cloud\")\n\n\nsetuptools.setup(\n name=name,\n version=version,\n description=description,\n long_description=readme,\n author=\"Google LLC\",\n author_email=\"[email protected]\",\n license=\"Apache 2.0\",\n url=\"https://github.com/googleapis/python-bigquery\",\n classifiers=[\n release_status,\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Programming Language :: Python\",\n \"Programming Language :: Python :: 3\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Programming Language :: Python :: 3.10\",\n \"Operating System :: OS Independent\",\n \"Topic :: Internet\",\n ],\n platforms=\"Posix; MacOS X; Windows\",\n packages=packages,\n namespace_packages=namespaces,\n install_requires=dependencies,\n extras_require=extras,\n python_requires=\">=3.7\",\n include_package_data=True,\n zip_safe=False,\n)\n", "path": "setup.py" } ]
diff --git a/setup.py b/setup.py index c8bf640c2..5fc694c6f 100644 --- a/setup.py +++ b/setup.py @@ -124,7 +124,7 @@ namespace_packages=namespaces, install_requires=dependencies, extras_require=extras, - python_requires=">=3.7, <3.11", + python_requires=">=3.7", include_package_data=True, zip_safe=False, )
Support Pythons <4 I'd like to be able to allow python <4 in ibis, but as of this PR (https://github.com/ibis-project/ibis/pull/4797) I cannot due to this library's `<3.11` pin.
streamlink__streamlink-5698
[ { "content": "\"\"\"\n$description A privately owned Bulgarian live TV channel.\n$url btvplus.bg\n$type live\n$region Bulgaria\n\"\"\"\n\nimport logging\nimport re\n\nfrom streamlink.plugin import Plugin, pluginmatcher\nfrom streamlink.plugin.api import validate\nfrom streamlink.stream.hls import HLSStream\n\n\nlog = logging.getLogger(__name__)\n\n\n@pluginmatcher(re.compile(\n r\"https?://(?:www\\.)?btvplus\\.bg/live/?\",\n))\nclass BTV(Plugin):\n URL_API = \"https://btvplus.bg/lbin/v3/btvplus/player_config.php\"\n\n def _get_streams(self):\n media_id = self.session.http.get(self.url, schema=validate.Schema(\n re.compile(r\"media_id=(\\d+)\"),\n validate.any(None, validate.get(1)),\n ))\n if media_id is None:\n return\n\n stream_url = self.session.http.get(\n self.URL_API,\n params={\n \"media_id\": media_id,\n },\n schema=validate.Schema(\n validate.any(\n validate.all(\n validate.regex(re.compile(r\"geo_blocked_stream\")),\n validate.get(0),\n ),\n validate.all(\n validate.parse_json(),\n {\n \"status\": \"ok\",\n \"info\": {\n \"file\": validate.url(path=validate.endswith(\".m3u8\")),\n },\n },\n validate.get((\"info\", \"file\")),\n ),\n ),\n ),\n )\n if not stream_url:\n return\n\n if stream_url == \"geo_blocked_stream\":\n log.error(\"The content is not available in your region\")\n return\n\n return {\"live\": HLSStream(self.session, stream_url)}\n\n\n__plugin__ = BTV\n", "path": "src/streamlink/plugins/btv.py" } ]
[ { "content": "\"\"\"\n$description A privately owned Bulgarian live TV channel.\n$url btvplus.bg\n$type live\n$region Bulgaria\n\"\"\"\n\nimport logging\nimport re\n\nfrom streamlink.plugin import Plugin, pluginmatcher\nfrom streamlink.plugin.api import validate\nfrom streamlink.stream.hls import HLSStream\n\n\nlog = logging.getLogger(__name__)\n\n\n@pluginmatcher(re.compile(\n r\"https?://(?:www\\.)?btvplus\\.bg/live/?\",\n))\nclass BTV(Plugin):\n URL_API = \"https://btvplus.bg/lbin/v3/btvplus/player_config.php\"\n\n def _get_streams(self):\n media_id = self.session.http.get(self.url, schema=validate.Schema(\n re.compile(r\"media_id=(\\d+)\"),\n validate.any(None, validate.get(1)),\n ))\n if media_id is None:\n return\n\n stream_url = self.session.http.get(\n self.URL_API,\n params={\n \"media_id\": media_id,\n },\n schema=validate.Schema(\n validate.any(\n validate.all(\n validate.regex(re.compile(r\"geo_blocked_stream\")),\n validate.get(0),\n ),\n validate.all(\n validate.parse_json(),\n {\n \"status\": \"ok\",\n \"info\": {\n \"file\": validate.url(path=validate.endswith(\".m3u8\")),\n },\n },\n validate.get((\"info\", \"file\")),\n ),\n ),\n ),\n )\n if not stream_url:\n return\n\n if stream_url == \"geo_blocked_stream\":\n log.error(\"The content is not available in your region\")\n return\n\n return HLSStream.parse_variant_playlist(self.session, stream_url)\n\n\n__plugin__ = BTV\n", "path": "src/streamlink/plugins/btv.py" } ]
diff --git a/src/streamlink/plugins/btv.py b/src/streamlink/plugins/btv.py index d6354fe0aa2..3024d0d0da1 100644 --- a/src/streamlink/plugins/btv.py +++ b/src/streamlink/plugins/btv.py @@ -61,7 +61,7 @@ def _get_streams(self): log.error("The content is not available in your region") return - return {"live": HLSStream(self.session, stream_url)} + return HLSStream.parse_variant_playlist(self.session, stream_url) __plugin__ = BTV diff --git a/tests/plugins/test_btv.py b/tests/plugins/test_btv.py index 7c13f15e210..1869495c505 100644 --- a/tests/plugins/test_btv.py +++ b/tests/plugins/test_btv.py @@ -6,7 +6,7 @@ class TestPluginCanHandleUrlBTV(PluginCanHandleUrl): __plugin__ = BTV should_match = [ - "http://btvplus.bg/live", - "http://btvplus.bg/live/", - "http://www.btvplus.bg/live/", + "https://btvplus.bg/live", + "https://btvplus.bg/live/", + "https://www.btvplus.bg/live/", ]
plugins.btv: No playable streams found ### Checklist - [X] This is a [plugin issue](https://streamlink.github.io/plugins.html) and not [a different kind of issue](https://github.com/streamlink/streamlink/issues/new/choose) - [X] [I have read the contribution guidelines](https://github.com/streamlink/streamlink/blob/master/CONTRIBUTING.md#contributing-to-streamlink) - [X] [I have checked the list of open and recently closed plugin issues](https://github.com/streamlink/streamlink/issues?q=is%3Aissue+label%3A%22plugin+issue%22) - [X] [I have checked the commit log of the master branch](https://github.com/streamlink/streamlink/commits/master) ### Streamlink version Your Streamlink version (6.4.2+1.g7e722ec1) is up to date! ### Description The plug-in does not display video. It displays errors shown in the logs below. ### Debug log ```text streamlink --loglevel=debug "https://btvplus.bg/live/" best [cli][debug] OS: Linux-6.2.0-35-generic-x86_64-with-glibc2.35 [cli][debug] Python: 3.10.12 [cli][debug] OpenSSL: OpenSSL 3.0.2 15 Mar 2022 [cli][debug] Streamlink: 6.4.2+1.g7e722ec1 [cli][debug] Dependencies: [cli][debug] certifi: 2023.5.7 [cli][debug] isodate: 0.6.1 [cli][debug] lxml: 4.8.0 [cli][debug] pycountry: 20.7.3 [cli][debug] pycryptodome: 3.17 [cli][debug] PySocks: 1.7.1 [cli][debug] requests: 2.31.0 [cli][debug] trio: 0.22.2 [cli][debug] trio-websocket: 0.10.3 [cli][debug] typing-extensions: 4.7.1 [cli][debug] urllib3: 1.26.16 [cli][debug] websocket-client: 1.2.3 [cli][debug] Arguments: [cli][debug] url=https://btvplus.bg/live/ [cli][debug] stream=['best'] [cli][debug] --loglevel=debug [cli][info] Found matching plugin btv for URL https://btvplus.bg/live/ [cli][info] Available streams: live (worst, best) [cli][info] Opening stream: live (hls) [cli][info] Starting player: /usr/bin/vlc [stream.hls][debug] Reloading playlist [cli][debug] Pre-buffering 8192 bytes [stream.hls][error] Attempted to play a variant playlist, use 'hls://https://cdn.bweb.bg/live/PhRBlmfjy0uVGxaj1_BMiw/1701627017/61065646.m3u8' instead [stream.segmented][debug] Closing worker thread [stream.segmented][debug] Closing writer thread [cli][error] Try 1/1: Could not open stream <HLSStream ['hls', 'https://cdn.bweb.bg/live/PhRBlmfjy0uVGxaj1_BMiw/1701627017/61065646.m3u8']> (No data returned from stream) error: Could not open stream <HLSStream ['hls', 'https://cdn.bweb.bg/live/PhRBlmfjy0uVGxaj1_BMiw/1701627017/61065646.m3u8']>, tried 1 times, exiting [cli][info] Closing currently open stream... ```
easybuilders__easybuild-framework-3584
[ { "content": "##\n# Copyright 2013-2021 Ghent University\n#\n# This file is part of EasyBuild,\n# originally created by the HPC team of Ghent University (http://ugent.be/hpc/en),\n# with support of Ghent University (http://ugent.be/hpc),\n# the Flemish Supercomputer Centre (VSC) (https://www.vscentrum.be),\n# Flemish Research Foundation (FWO) (http://www.fwo.be/en)\n# and the Department of Economy, Science and Innovation (EWI) (http://www.ewi-vlaanderen.be/en).\n#\n# https://github.com/easybuilders/easybuild\n#\n# EasyBuild is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation v2.\n#\n# EasyBuild is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with EasyBuild. If not, see <http://www.gnu.org/licenses/>.\n##\n\"\"\"\nSupport for OpenBLAS as toolchain linear algebra library.\n\n:author: Kenneth Hoste (Ghent University)\n\"\"\"\n\nfrom easybuild.tools.toolchain.linalg import LinAlg\n\n\nTC_CONSTANT_OPENBLAS = 'OpenBLAS'\n\n\nclass OpenBLAS(LinAlg):\n \"\"\"\n Trivial class, provides OpenBLAS support.\n \"\"\"\n BLAS_MODULE_NAME = ['OpenBLAS']\n BLAS_LIB = ['openblas']\n BLAS_FAMILY = TC_CONSTANT_OPENBLAS\n\n LAPACK_MODULE_NAME = ['OpenBLAS']\n LAPACK_IS_BLAS = True\n LAPACK_FAMILY = TC_CONSTANT_OPENBLAS\n", "path": "easybuild/toolchains/linalg/openblas.py" } ]
[ { "content": "##\n# Copyright 2013-2021 Ghent University\n#\n# This file is part of EasyBuild,\n# originally created by the HPC team of Ghent University (http://ugent.be/hpc/en),\n# with support of Ghent University (http://ugent.be/hpc),\n# the Flemish Supercomputer Centre (VSC) (https://www.vscentrum.be),\n# Flemish Research Foundation (FWO) (http://www.fwo.be/en)\n# and the Department of Economy, Science and Innovation (EWI) (http://www.ewi-vlaanderen.be/en).\n#\n# https://github.com/easybuilders/easybuild\n#\n# EasyBuild is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation v2.\n#\n# EasyBuild is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with EasyBuild. If not, see <http://www.gnu.org/licenses/>.\n##\n\"\"\"\nSupport for OpenBLAS as toolchain linear algebra library.\n\n:author: Kenneth Hoste (Ghent University)\n\"\"\"\n\nfrom easybuild.tools.toolchain.linalg import LinAlg\n\n\nTC_CONSTANT_OPENBLAS = 'OpenBLAS'\n\n\nclass OpenBLAS(LinAlg):\n \"\"\"\n Trivial class, provides OpenBLAS support.\n \"\"\"\n BLAS_MODULE_NAME = ['OpenBLAS']\n BLAS_LIB = ['openblas']\n BLAS_LIB_MT = ['openblas']\n BLAS_FAMILY = TC_CONSTANT_OPENBLAS\n\n LAPACK_MODULE_NAME = ['OpenBLAS']\n LAPACK_IS_BLAS = True\n LAPACK_FAMILY = TC_CONSTANT_OPENBLAS\n", "path": "easybuild/toolchains/linalg/openblas.py" } ]
diff --git a/easybuild/toolchains/linalg/openblas.py b/easybuild/toolchains/linalg/openblas.py index 7cfd042a94..4d57f51ba9 100644 --- a/easybuild/toolchains/linalg/openblas.py +++ b/easybuild/toolchains/linalg/openblas.py @@ -40,6 +40,7 @@ class OpenBLAS(LinAlg): """ BLAS_MODULE_NAME = ['OpenBLAS'] BLAS_LIB = ['openblas'] + BLAS_LIB_MT = ['openblas'] BLAS_FAMILY = TC_CONSTANT_OPENBLAS LAPACK_MODULE_NAME = ['OpenBLAS'] diff --git a/test/framework/toolchain.py b/test/framework/toolchain.py index 24affe177b..28013b468a 100644 --- a/test/framework/toolchain.py +++ b/test/framework/toolchain.py @@ -1449,7 +1449,7 @@ def test_old_new_iccifort(self): libscalack_intel4 = "-lmkl_scalapack_lp64 -lmkl_blacs_intelmpi_lp64 -lmkl_intel_lp64 -lmkl_sequential " libscalack_intel4 += "-lmkl_core" - libblas_mt_fosscuda = "-lopenblas -lgfortran" + libblas_mt_fosscuda = "-lopenblas -lgfortran -lpthread" libscalack_fosscuda = "-lscalapack -lopenblas -lgfortran" libfft_mt_fosscuda = "-lfftw3_omp -lfftw3 -lpthread"
-lpthtread is missing from $LIBBLAS_MT when building with the `foss` toolchain, I noticed that `$LIBBLAS_MT` is defined identical to `$LIBBLAS` as `-lopenblas -lgfortran` we should make sure `-lpthread` is included as well.
Netflix__lemur-766
[ { "content": "\"\"\"\n.. module: lemur.factory\n :platform: Unix\n :synopsis: This module contains all the needed functions to allow\n the factory app creation.\n\n :copyright: (c) 2015 by Netflix Inc., see AUTHORS for more\n :license: Apache, see LICENSE for more details.\n.. moduleauthor:: Kevin Glisson <[email protected]>\n\n\"\"\"\nimport os\nimport imp\nimport errno\nimport pkg_resources\n\nfrom logging import Formatter, StreamHandler\nfrom logging.handlers import RotatingFileHandler\n\nfrom flask import Flask\nfrom lemur.common.health import mod as health\nfrom lemur.extensions import db, migrate, principal, smtp_mail, metrics\n\n\nDEFAULT_BLUEPRINTS = (\n health,\n)\n\nAPI_VERSION = 1\n\n\ndef create_app(app_name=None, blueprints=None, config=None):\n \"\"\"\n Lemur application factory\n\n :param config:\n :param app_name:\n :param blueprints:\n :return:\n \"\"\"\n if not blueprints:\n blueprints = DEFAULT_BLUEPRINTS\n else:\n blueprints = blueprints + DEFAULT_BLUEPRINTS\n\n if not app_name:\n app_name = __name__\n\n app = Flask(app_name)\n configure_app(app, config)\n configure_blueprints(app, blueprints)\n configure_extensions(app)\n configure_logging(app)\n install_plugins(app)\n\n @app.teardown_appcontext\n def teardown(exception=None):\n if db.session:\n db.session.remove()\n\n return app\n\n\ndef from_file(file_path, silent=False):\n \"\"\"\n Updates the values in the config from a Python file. This function\n behaves as if the file was imported as module with the\n\n :param file_path:\n :param silent:\n \"\"\"\n d = imp.new_module('config')\n d.__file__ = file_path\n try:\n with open(file_path) as config_file:\n exec(compile(config_file.read(), # nosec: config file safe\n file_path, 'exec'), d.__dict__)\n except IOError as e:\n if silent and e.errno in (errno.ENOENT, errno.EISDIR):\n return False\n e.strerror = 'Unable to load configuration file (%s)' % e.strerror\n raise\n return d\n\n\ndef configure_app(app, config=None):\n \"\"\"\n Different ways of configuration\n\n :param app:\n :param config:\n :return:\n \"\"\"\n # respect the config first\n if config and config != 'None':\n app.config['CONFIG_PATH'] = config\n app.config.from_object(from_file(config))\n else:\n try:\n app.config.from_envvar(\"LEMUR_CONF\")\n except RuntimeError:\n # look in default paths\n if os.path.isfile(os.path.expanduser(\"~/.lemur/lemur.conf.py\")):\n app.config.from_object(from_file(os.path.expanduser(\"~/.lemur/lemur.conf.py\")))\n else:\n app.config.from_object(from_file(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'default.conf.py')))\n\n # we don't use this\n app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False\n\n\ndef configure_extensions(app):\n \"\"\"\n Attaches and configures any needed flask extensions\n to our app.\n\n :param app:\n \"\"\"\n db.init_app(app)\n migrate.init_app(app, db)\n principal.init_app(app)\n smtp_mail.init_app(app)\n metrics.init_app(app)\n\n\ndef configure_blueprints(app, blueprints):\n \"\"\"\n We prefix our APIs with their given version so that we can support\n multiple concurrent API versions.\n\n :param app:\n :param blueprints:\n \"\"\"\n for blueprint in blueprints:\n app.register_blueprint(blueprint, url_prefix=\"/api/{0}\".format(API_VERSION))\n\n\ndef configure_logging(app):\n \"\"\"\n Sets up application wide logging.\n\n :param app:\n \"\"\"\n handler = RotatingFileHandler(app.config.get('LOG_FILE', 'lemur.log'), maxBytes=10000000, backupCount=100)\n\n handler.setFormatter(Formatter(\n '%(asctime)s %(levelname)s: %(message)s '\n '[in %(pathname)s:%(lineno)d]'\n ))\n\n handler.setLevel(app.config.get('LOG_LEVEL', 'DEBUG'))\n app.logger.setLevel(app.config.get('LOG_LEVEL', 'DEBUG'))\n app.logger.addHandler(handler)\n\n stream_handler = StreamHandler()\n stream_handler.setLevel(app.config.get('LOG_LEVEL'))\n app.logger.addHandler(stream_handler)\n\n\ndef install_plugins(app):\n \"\"\"\n Installs new issuers that are not currently bundled with Lemur.\n\n :param app:\n :return:\n \"\"\"\n from lemur.plugins import plugins\n from lemur.plugins.base import register\n # entry_points={\n # 'lemur.plugins': [\n # 'verisign = lemur_verisign.plugin:VerisignPlugin'\n # ],\n # },\n for ep in pkg_resources.iter_entry_points('lemur.plugins'):\n try:\n plugin = ep.load()\n except Exception:\n import traceback\n app.logger.error(\"Failed to load plugin %r:\\n%s\\n\" % (ep.name, traceback.format_exc()))\n else:\n register(plugin)\n\n # ensure that we have some way to notify\n with app.app_context():\n try:\n slug = app.config.get(\"LEMUR_DEFAULT_NOTIFICATION_PLUGIN\", \"email-notification\")\n plugins.get(slug)\n except KeyError:\n raise Exception(\"Unable to location notification plugin: {slug}. Ensure that LEMUR_DEFAULT_NOTIFICATION_PLUGIN is set to a valid and installed notification plugin.\".format(slug=slug))\n", "path": "lemur/factory.py" } ]
[ { "content": "\"\"\"\n.. module: lemur.factory\n :platform: Unix\n :synopsis: This module contains all the needed functions to allow\n the factory app creation.\n\n :copyright: (c) 2015 by Netflix Inc., see AUTHORS for more\n :license: Apache, see LICENSE for more details.\n.. moduleauthor:: Kevin Glisson <[email protected]>\n\n\"\"\"\nimport os\nimport imp\nimport errno\nimport pkg_resources\n\nfrom logging import Formatter, StreamHandler\nfrom logging.handlers import RotatingFileHandler\n\nfrom flask import Flask\nfrom lemur.common.health import mod as health\nfrom lemur.extensions import db, migrate, principal, smtp_mail, metrics\n\n\nDEFAULT_BLUEPRINTS = (\n health,\n)\n\nAPI_VERSION = 1\n\n\ndef create_app(app_name=None, blueprints=None, config=None):\n \"\"\"\n Lemur application factory\n\n :param config:\n :param app_name:\n :param blueprints:\n :return:\n \"\"\"\n if not blueprints:\n blueprints = DEFAULT_BLUEPRINTS\n else:\n blueprints = blueprints + DEFAULT_BLUEPRINTS\n\n if not app_name:\n app_name = __name__\n\n app = Flask(app_name)\n configure_app(app, config)\n configure_blueprints(app, blueprints)\n configure_extensions(app)\n configure_logging(app)\n install_plugins(app)\n\n @app.teardown_appcontext\n def teardown(exception=None):\n if db.session:\n db.session.remove()\n\n return app\n\n\ndef from_file(file_path, silent=False):\n \"\"\"\n Updates the values in the config from a Python file. This function\n behaves as if the file was imported as module with the\n\n :param file_path:\n :param silent:\n \"\"\"\n d = imp.new_module('config')\n d.__file__ = file_path\n try:\n with open(file_path) as config_file:\n exec(compile(config_file.read(), # nosec: config file safe\n file_path, 'exec'), d.__dict__)\n except IOError as e:\n if silent and e.errno in (errno.ENOENT, errno.EISDIR):\n return False\n e.strerror = 'Unable to load configuration file (%s)' % e.strerror\n raise\n return d\n\n\ndef configure_app(app, config=None):\n \"\"\"\n Different ways of configuration\n\n :param app:\n :param config:\n :return:\n \"\"\"\n # respect the config first\n if config and config != 'None':\n app.config['CONFIG_PATH'] = config\n app.config.from_object(from_file(config))\n else:\n try:\n app.config.from_envvar(\"LEMUR_CONF\")\n except RuntimeError:\n # look in default paths\n if os.path.isfile(os.path.expanduser(\"~/.lemur/lemur.conf.py\")):\n app.config.from_object(from_file(os.path.expanduser(\"~/.lemur/lemur.conf.py\")))\n else:\n app.config.from_object(from_file(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'default.conf.py')))\n\n # we don't use this\n app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False\n\n\ndef configure_extensions(app):\n \"\"\"\n Attaches and configures any needed flask extensions\n to our app.\n\n :param app:\n \"\"\"\n db.init_app(app)\n migrate.init_app(app, db)\n principal.init_app(app)\n smtp_mail.init_app(app)\n metrics.init_app(app)\n\n\ndef configure_blueprints(app, blueprints):\n \"\"\"\n We prefix our APIs with their given version so that we can support\n multiple concurrent API versions.\n\n :param app:\n :param blueprints:\n \"\"\"\n for blueprint in blueprints:\n app.register_blueprint(blueprint, url_prefix=\"/api/{0}\".format(API_VERSION))\n\n\ndef configure_logging(app):\n \"\"\"\n Sets up application wide logging.\n\n :param app:\n \"\"\"\n handler = RotatingFileHandler(app.config.get('LOG_FILE', 'lemur.log'), maxBytes=10000000, backupCount=100)\n\n handler.setFormatter(Formatter(\n '%(asctime)s %(levelname)s: %(message)s '\n '[in %(pathname)s:%(lineno)d]'\n ))\n\n handler.setLevel(app.config.get('LOG_LEVEL', 'DEBUG'))\n app.logger.setLevel(app.config.get('LOG_LEVEL', 'DEBUG'))\n app.logger.addHandler(handler)\n\n stream_handler = StreamHandler()\n stream_handler.setLevel(app.config.get('LOG_LEVEL', 'DEBUG'))\n app.logger.addHandler(stream_handler)\n\n\ndef install_plugins(app):\n \"\"\"\n Installs new issuers that are not currently bundled with Lemur.\n\n :param app:\n :return:\n \"\"\"\n from lemur.plugins import plugins\n from lemur.plugins.base import register\n # entry_points={\n # 'lemur.plugins': [\n # 'verisign = lemur_verisign.plugin:VerisignPlugin'\n # ],\n # },\n for ep in pkg_resources.iter_entry_points('lemur.plugins'):\n try:\n plugin = ep.load()\n except Exception:\n import traceback\n app.logger.error(\"Failed to load plugin %r:\\n%s\\n\" % (ep.name, traceback.format_exc()))\n else:\n register(plugin)\n\n # ensure that we have some way to notify\n with app.app_context():\n try:\n slug = app.config.get(\"LEMUR_DEFAULT_NOTIFICATION_PLUGIN\", \"email-notification\")\n plugins.get(slug)\n except KeyError:\n raise Exception(\"Unable to location notification plugin: {slug}. Ensure that LEMUR_DEFAULT_NOTIFICATION_PLUGIN is set to a valid and installed notification plugin.\".format(slug=slug))\n", "path": "lemur/factory.py" } ]
diff --git a/lemur/factory.py b/lemur/factory.py index 2029667a57..1adc18c50b 100644 --- a/lemur/factory.py +++ b/lemur/factory.py @@ -153,7 +153,7 @@ def configure_logging(app): app.logger.addHandler(handler) stream_handler = StreamHandler() - stream_handler.setLevel(app.config.get('LOG_LEVEL')) + stream_handler.setLevel(app.config.get('LOG_LEVEL', 'DEBUG')) app.logger.addHandler(stream_handler)
Set lemur to log to stdout When running lemur inside docker I would like to have it log everything to `stdout` so that I can forward logs to splunk. At the moment `lemur.config.py` has a `LEMUR_LOG` parameter that expects a filename. Is there a way to configure lemur to log to stdout instead of a file?
open-telemetry__opentelemetry-python-1249
[ { "content": "# Copyright The OpenTelemetry Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\nimport abc\nimport atexit\nimport concurrent.futures\nimport json\nimport logging\nimport threading\nimport traceback\nfrom collections import OrderedDict\nfrom contextlib import contextmanager\nfrom types import MappingProxyType, TracebackType\nfrom typing import (\n Any,\n Callable,\n Iterator,\n MutableSequence,\n Optional,\n Sequence,\n Tuple,\n Type,\n Union,\n)\n\nfrom opentelemetry import context as context_api\nfrom opentelemetry import trace as trace_api\nfrom opentelemetry.sdk import util\nfrom opentelemetry.sdk.resources import Resource\nfrom opentelemetry.sdk.trace import sampling\nfrom opentelemetry.sdk.util import BoundedDict, BoundedList\nfrom opentelemetry.sdk.util.instrumentation import InstrumentationInfo\nfrom opentelemetry.trace import SpanContext\nfrom opentelemetry.trace.propagation import SPAN_KEY\nfrom opentelemetry.trace.status import (\n EXCEPTION_STATUS_FIELD,\n Status,\n StatusCanonicalCode,\n)\nfrom opentelemetry.util import time_ns, types\n\nlogger = logging.getLogger(__name__)\n\nMAX_NUM_ATTRIBUTES = 32\nMAX_NUM_EVENTS = 128\nMAX_NUM_LINKS = 32\nVALID_ATTR_VALUE_TYPES = (bool, str, int, float)\n\n\nclass SpanProcessor:\n \"\"\"Interface which allows hooks for SDK's `Span` start and end method\n invocations.\n\n Span processors can be registered directly using\n :func:`TracerProvider.add_span_processor` and they are invoked\n in the same order as they were registered.\n \"\"\"\n\n def on_start(self, span: \"Span\") -> None:\n \"\"\"Called when a :class:`opentelemetry.trace.Span` is started.\n\n This method is called synchronously on the thread that starts the\n span, therefore it should not block or throw an exception.\n\n Args:\n span: The :class:`opentelemetry.trace.Span` that just started.\n \"\"\"\n\n def on_end(self, span: \"Span\") -> None:\n \"\"\"Called when a :class:`opentelemetry.trace.Span` is ended.\n\n This method is called synchronously on the thread that ends the\n span, therefore it should not block or throw an exception.\n\n Args:\n span: The :class:`opentelemetry.trace.Span` that just ended.\n \"\"\"\n\n def shutdown(self) -> None:\n \"\"\"Called when a :class:`opentelemetry.sdk.trace.Tracer` is shutdown.\n \"\"\"\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Export all ended spans to the configured Exporter that have not yet\n been exported.\n\n Args:\n timeout_millis: The maximum amount of time to wait for spans to be\n exported.\n\n Returns:\n False if the timeout is exceeded, True otherwise.\n \"\"\"\n\n\nclass SynchronousMultiSpanProcessor(SpanProcessor):\n \"\"\"Implementation of class:`SpanProcessor` that forwards all received\n events to a list of span processors sequentially.\n\n The underlying span processors are called in sequential order as they were\n added.\n \"\"\"\n\n def __init__(self):\n # use a tuple to avoid race conditions when adding a new span and\n # iterating through it on \"on_start\" and \"on_end\".\n self._span_processors = () # type: Tuple[SpanProcessor, ...]\n self._lock = threading.Lock()\n\n def add_span_processor(self, span_processor: SpanProcessor) -> None:\n \"\"\"Adds a SpanProcessor to the list handled by this instance.\"\"\"\n with self._lock:\n self._span_processors = self._span_processors + (span_processor,)\n\n def on_start(self, span: \"Span\") -> None:\n for sp in self._span_processors:\n sp.on_start(span)\n\n def on_end(self, span: \"Span\") -> None:\n for sp in self._span_processors:\n sp.on_end(span)\n\n def shutdown(self) -> None:\n \"\"\"Sequentially shuts down all underlying span processors.\n \"\"\"\n for sp in self._span_processors:\n sp.shutdown()\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Sequentially calls force_flush on all underlying\n :class:`SpanProcessor`\n\n Args:\n timeout_millis: The maximum amount of time over all span processors\n to wait for spans to be exported. In case the first n span\n processors exceeded the timeout followup span processors will be\n skipped.\n\n Returns:\n True if all span processors flushed their spans within the\n given timeout, False otherwise.\n \"\"\"\n deadline_ns = time_ns() + timeout_millis * 1000000\n for sp in self._span_processors:\n current_time_ns = time_ns()\n if current_time_ns >= deadline_ns:\n return False\n\n if not sp.force_flush((deadline_ns - current_time_ns) // 1000000):\n return False\n\n return True\n\n\nclass ConcurrentMultiSpanProcessor(SpanProcessor):\n \"\"\"Implementation of :class:`SpanProcessor` that forwards all received\n events to a list of span processors in parallel.\n\n Calls to the underlying span processors are forwarded in parallel by\n submitting them to a thread pool executor and waiting until each span\n processor finished its work.\n\n Args:\n num_threads: The number of threads managed by the thread pool executor\n and thus defining how many span processors can work in parallel.\n \"\"\"\n\n def __init__(self, num_threads: int = 2):\n # use a tuple to avoid race conditions when adding a new span and\n # iterating through it on \"on_start\" and \"on_end\".\n self._span_processors = () # type: Tuple[SpanProcessor, ...]\n self._lock = threading.Lock()\n self._executor = concurrent.futures.ThreadPoolExecutor(\n max_workers=num_threads\n )\n\n def add_span_processor(self, span_processor: SpanProcessor) -> None:\n \"\"\"Adds a SpanProcessor to the list handled by this instance.\"\"\"\n with self._lock:\n self._span_processors = self._span_processors + (span_processor,)\n\n def _submit_and_await(\n self, func: Callable[[SpanProcessor], Callable[..., None]], *args: Any\n ):\n futures = []\n for sp in self._span_processors:\n future = self._executor.submit(func(sp), *args)\n futures.append(future)\n for future in futures:\n future.result()\n\n def on_start(self, span: \"Span\") -> None:\n self._submit_and_await(lambda sp: sp.on_start, span)\n\n def on_end(self, span: \"Span\") -> None:\n self._submit_and_await(lambda sp: sp.on_end, span)\n\n def shutdown(self) -> None:\n \"\"\"Shuts down all underlying span processors in parallel.\"\"\"\n self._submit_and_await(lambda sp: sp.shutdown)\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Calls force_flush on all underlying span processors in parallel.\n\n Args:\n timeout_millis: The maximum amount of time to wait for spans to be\n exported.\n\n Returns:\n True if all span processors flushed their spans within the given\n timeout, False otherwise.\n \"\"\"\n futures = []\n for sp in self._span_processors: # type: SpanProcessor\n future = self._executor.submit(sp.force_flush, timeout_millis)\n futures.append(future)\n\n timeout_sec = timeout_millis / 1e3\n done_futures, not_done_futures = concurrent.futures.wait(\n futures, timeout_sec\n )\n if not_done_futures:\n return False\n\n for future in done_futures:\n if not future.result():\n return False\n\n return True\n\n\nclass EventBase(abc.ABC):\n def __init__(self, name: str, timestamp: Optional[int] = None) -> None:\n self._name = name\n if timestamp is None:\n self._timestamp = time_ns()\n else:\n self._timestamp = timestamp\n\n @property\n def name(self) -> str:\n return self._name\n\n @property\n def timestamp(self) -> int:\n return self._timestamp\n\n @property\n @abc.abstractmethod\n def attributes(self) -> types.Attributes:\n pass\n\n\nclass Event(EventBase):\n \"\"\"A text annotation with a set of attributes.\n\n Args:\n name: Name of the event.\n attributes: Attributes of the event.\n timestamp: Timestamp of the event. If `None` it will filled\n automatically.\n \"\"\"\n\n def __init__(\n self,\n name: str,\n attributes: types.Attributes = None,\n timestamp: Optional[int] = None,\n ) -> None:\n super().__init__(name, timestamp)\n self._attributes = attributes\n\n @property\n def attributes(self) -> types.Attributes:\n return self._attributes\n\n\ndef _is_valid_attribute_value(value: types.AttributeValue) -> bool:\n \"\"\"Checks if attribute value is valid.\n\n An attribute value is valid if it is one of the valid types. If the value\n is a sequence, it is only valid if all items in the sequence are of valid\n type, not a sequence, and are of the same type.\n \"\"\"\n\n if isinstance(value, Sequence):\n if len(value) == 0:\n return True\n\n first_element_type = type(value[0])\n\n if first_element_type not in VALID_ATTR_VALUE_TYPES:\n logger.warning(\n \"Invalid type %s in attribute value sequence. Expected one of \"\n \"%s or a sequence of those types\",\n first_element_type.__name__,\n [valid_type.__name__ for valid_type in VALID_ATTR_VALUE_TYPES],\n )\n return False\n\n for element in list(value)[1:]:\n if not isinstance(element, first_element_type):\n logger.warning(\n \"Mixed types %s and %s in attribute value sequence\",\n first_element_type.__name__,\n type(element).__name__,\n )\n return False\n elif not isinstance(value, VALID_ATTR_VALUE_TYPES):\n logger.warning(\n \"Invalid type %s for attribute value. Expected one of %s or a \"\n \"sequence of those types\",\n type(value).__name__,\n [valid_type.__name__ for valid_type in VALID_ATTR_VALUE_TYPES],\n )\n return False\n return True\n\n\ndef _filter_attribute_values(attributes: types.Attributes):\n if attributes:\n for attr_key, attr_value in list(attributes.items()):\n if _is_valid_attribute_value(attr_value):\n if isinstance(attr_value, MutableSequence):\n attributes[attr_key] = tuple(attr_value)\n else:\n attributes.pop(attr_key)\n\n\ndef _create_immutable_attributes(attributes):\n return MappingProxyType(attributes.copy() if attributes else {})\n\n\nclass Span(trace_api.Span):\n \"\"\"See `opentelemetry.trace.Span`.\n\n Users should create `Span` objects via the `Tracer` instead of this\n constructor.\n\n Args:\n name: The name of the operation this span represents\n context: The immutable span context\n parent: This span's parent's `opentelemetry.trace.SpanContext`, or\n None if this is a root span\n sampler: The sampler used to create this span\n trace_config: TODO\n resource: Entity producing telemetry\n attributes: The span's attributes to be exported\n events: Timestamped events to be exported\n links: Links to other spans to be exported\n span_processor: `SpanProcessor` to invoke when starting and ending\n this `Span`.\n \"\"\"\n\n def __new__(cls, *args, **kwargs):\n if cls is Span:\n raise TypeError(\"Span must be instantiated via a tracer.\")\n return super().__new__(cls)\n\n def __init__(\n self,\n name: str,\n context: trace_api.SpanContext,\n parent: Optional[trace_api.SpanContext] = None,\n sampler: Optional[sampling.Sampler] = None,\n trace_config: None = None, # TODO\n resource: Resource = Resource.create({}),\n attributes: types.Attributes = None, # TODO\n events: Sequence[Event] = None, # TODO\n links: Sequence[trace_api.Link] = (),\n kind: trace_api.SpanKind = trace_api.SpanKind.INTERNAL,\n span_processor: SpanProcessor = SpanProcessor(),\n instrumentation_info: InstrumentationInfo = None,\n set_status_on_exception: bool = True,\n ) -> None:\n\n self.name = name\n self.context = context\n self.parent = parent\n self.sampler = sampler\n self.trace_config = trace_config\n self.resource = resource\n self.kind = kind\n self._set_status_on_exception = set_status_on_exception\n\n self.span_processor = span_processor\n self.status = None\n self._lock = threading.Lock()\n\n _filter_attribute_values(attributes)\n if not attributes:\n self.attributes = self._new_attributes()\n else:\n self.attributes = BoundedDict.from_map(\n MAX_NUM_ATTRIBUTES, attributes\n )\n\n self.events = self._new_events()\n if events:\n for event in events:\n _filter_attribute_values(event.attributes)\n # pylint: disable=protected-access\n event._attributes = _create_immutable_attributes(\n event.attributes\n )\n self.events.append(event)\n\n if links is None:\n self.links = self._new_links()\n else:\n self.links = BoundedList.from_seq(MAX_NUM_LINKS, links)\n\n self._end_time = None # type: Optional[int]\n self._start_time = None # type: Optional[int]\n self.instrumentation_info = instrumentation_info\n\n @property\n def start_time(self):\n return self._start_time\n\n @property\n def end_time(self):\n return self._end_time\n\n def __repr__(self):\n return '{}(name=\"{}\", context={})'.format(\n type(self).__name__, self.name, self.context\n )\n\n @staticmethod\n def _new_attributes():\n return BoundedDict(MAX_NUM_ATTRIBUTES)\n\n @staticmethod\n def _new_events():\n return BoundedList(MAX_NUM_EVENTS)\n\n @staticmethod\n def _new_links():\n return BoundedList(MAX_NUM_LINKS)\n\n @staticmethod\n def _format_context(context):\n x_ctx = OrderedDict()\n x_ctx[\"trace_id\"] = trace_api.format_trace_id(context.trace_id)\n x_ctx[\"span_id\"] = trace_api.format_span_id(context.span_id)\n x_ctx[\"trace_state\"] = repr(context.trace_state)\n return x_ctx\n\n @staticmethod\n def _format_attributes(attributes):\n if isinstance(attributes, BoundedDict):\n return attributes._dict # pylint: disable=protected-access\n if isinstance(attributes, MappingProxyType):\n return attributes.copy()\n return attributes\n\n @staticmethod\n def _format_events(events):\n f_events = []\n for event in events:\n f_event = OrderedDict()\n f_event[\"name\"] = event.name\n f_event[\"timestamp\"] = util.ns_to_iso_str(event.timestamp)\n f_event[\"attributes\"] = Span._format_attributes(event.attributes)\n f_events.append(f_event)\n return f_events\n\n @staticmethod\n def _format_links(links):\n f_links = []\n for link in links:\n f_link = OrderedDict()\n f_link[\"context\"] = Span._format_context(link.context)\n f_link[\"attributes\"] = Span._format_attributes(link.attributes)\n f_links.append(f_link)\n return f_links\n\n def to_json(self, indent=4):\n parent_id = None\n if self.parent is not None:\n if isinstance(self.parent, Span):\n ctx = self.parent.context\n parent_id = trace_api.format_span_id(ctx.span_id)\n elif isinstance(self.parent, SpanContext):\n parent_id = trace_api.format_span_id(self.parent.span_id)\n\n start_time = None\n if self.start_time:\n start_time = util.ns_to_iso_str(self.start_time)\n\n end_time = None\n if self.end_time:\n end_time = util.ns_to_iso_str(self.end_time)\n\n if self.status is not None:\n status = OrderedDict()\n status[\"canonical_code\"] = str(self.status.canonical_code.name)\n if self.status.description:\n status[\"description\"] = self.status.description\n\n f_span = OrderedDict()\n\n f_span[\"name\"] = self.name\n f_span[\"context\"] = self._format_context(self.context)\n f_span[\"kind\"] = str(self.kind)\n f_span[\"parent_id\"] = parent_id\n f_span[\"start_time\"] = start_time\n f_span[\"end_time\"] = end_time\n if self.status is not None:\n f_span[\"status\"] = status\n f_span[\"attributes\"] = self._format_attributes(self.attributes)\n f_span[\"events\"] = self._format_events(self.events)\n f_span[\"links\"] = self._format_links(self.links)\n f_span[\"resource\"] = self.resource.attributes\n\n return json.dumps(f_span, indent=indent)\n\n def get_span_context(self):\n return self.context\n\n def set_attribute(self, key: str, value: types.AttributeValue) -> None:\n with self._lock:\n if not self.is_recording():\n return\n has_ended = self.end_time is not None\n if has_ended:\n logger.warning(\"Setting attribute on ended span.\")\n return\n\n if not key:\n logger.warning(\"invalid key (empty or null)\")\n return\n\n if _is_valid_attribute_value(value):\n # Freeze mutable sequences defensively\n if isinstance(value, MutableSequence):\n value = tuple(value)\n if isinstance(value, bytes):\n try:\n value = value.decode()\n except ValueError:\n logger.warning(\"Byte attribute could not be decoded.\")\n return\n with self._lock:\n self.attributes[key] = value\n\n def _add_event(self, event: EventBase) -> None:\n with self._lock:\n if not self.is_recording():\n return\n has_ended = self.end_time is not None\n\n if has_ended:\n logger.warning(\"Calling add_event() on an ended span.\")\n return\n self.events.append(event)\n\n def add_event(\n self,\n name: str,\n attributes: types.Attributes = None,\n timestamp: Optional[int] = None,\n ) -> None:\n _filter_attribute_values(attributes)\n attributes = _create_immutable_attributes(attributes)\n self._add_event(\n Event(\n name=name,\n attributes=attributes,\n timestamp=time_ns() if timestamp is None else timestamp,\n )\n )\n\n def start(self, start_time: Optional[int] = None) -> None:\n with self._lock:\n if not self.is_recording():\n return\n has_started = self.start_time is not None\n if not has_started:\n self._start_time = (\n start_time if start_time is not None else time_ns()\n )\n if has_started:\n logger.warning(\"Calling start() on a started span.\")\n return\n self.span_processor.on_start(self)\n\n def end(self, end_time: Optional[int] = None) -> None:\n with self._lock:\n if not self.is_recording():\n return\n if self.start_time is None:\n raise RuntimeError(\"Calling end() on a not started span.\")\n has_ended = self.end_time is not None\n if not has_ended:\n if self.status is None:\n self.status = Status(canonical_code=StatusCanonicalCode.OK)\n\n self._end_time = (\n end_time if end_time is not None else time_ns()\n )\n\n if has_ended:\n logger.warning(\"Calling end() on an ended span.\")\n return\n\n self.span_processor.on_end(self)\n\n def update_name(self, name: str) -> None:\n with self._lock:\n has_ended = self.end_time is not None\n if has_ended:\n logger.warning(\"Calling update_name() on an ended span.\")\n return\n self.name = name\n\n def is_recording(self) -> bool:\n return True\n\n def set_status(self, status: trace_api.Status) -> None:\n with self._lock:\n has_ended = self.end_time is not None\n if has_ended:\n logger.warning(\"Calling set_status() on an ended span.\")\n return\n self.status = status\n\n def __exit__(\n self,\n exc_type: Optional[Type[BaseException]],\n exc_val: Optional[BaseException],\n exc_tb: Optional[TracebackType],\n ) -> None:\n \"\"\"Ends context manager and calls `end` on the `Span`.\"\"\"\n\n if (\n self.status is None\n and self._set_status_on_exception\n and exc_val is not None\n ):\n self.set_status(\n Status(\n canonical_code=StatusCanonicalCode.UNKNOWN,\n description=\"{}: {}\".format(exc_type.__name__, exc_val),\n )\n )\n\n super().__exit__(exc_type, exc_val, exc_tb)\n\n def record_exception(self, exception: Exception) -> None:\n \"\"\"Records an exception as a span event.\"\"\"\n try:\n stacktrace = traceback.format_exc()\n except Exception: # pylint: disable=broad-except\n # workaround for python 3.4, format_exc can raise\n # an AttributeError if the __context__ on\n # an exception is None\n stacktrace = \"Exception occurred on stacktrace formatting\"\n\n self.add_event(\n name=\"exception\",\n attributes={\n \"exception.type\": exception.__class__.__name__,\n \"exception.message\": str(exception),\n \"exception.stacktrace\": stacktrace,\n },\n )\n\n\nclass _Span(Span):\n \"\"\"Protected implementation of `opentelemetry.trace.Span`.\n\n This constructor should only be used internally.\n \"\"\"\n\n\nclass Tracer(trace_api.Tracer):\n \"\"\"See `opentelemetry.trace.Tracer`.\n\n Args:\n name: The name of the tracer.\n shutdown_on_exit: Register an atexit hook to shut down the tracer when\n the application exits.\n \"\"\"\n\n def __init__(\n self,\n source: \"TracerProvider\",\n instrumentation_info: InstrumentationInfo,\n ) -> None:\n self.source = source\n self.instrumentation_info = instrumentation_info\n\n def start_as_current_span(\n self,\n name: str,\n context: Optional[context_api.Context] = None,\n kind: trace_api.SpanKind = trace_api.SpanKind.INTERNAL,\n attributes: types.Attributes = None,\n links: Sequence[trace_api.Link] = (),\n record_exception: bool = True,\n ) -> Iterator[trace_api.Span]:\n span = self.start_span(name, context, kind, attributes, links)\n return self.use_span(\n span, end_on_exit=True, record_exception=record_exception\n )\n\n def start_span( # pylint: disable=too-many-locals\n self,\n name: str,\n context: Optional[context_api.Context] = None,\n kind: trace_api.SpanKind = trace_api.SpanKind.INTERNAL,\n attributes: types.Attributes = None,\n links: Sequence[trace_api.Link] = (),\n start_time: Optional[int] = None,\n set_status_on_exception: bool = True,\n ) -> trace_api.Span:\n\n parent_span_context = trace_api.get_current_span(\n context\n ).get_span_context()\n\n if parent_span_context is not None and not isinstance(\n parent_span_context, trace_api.SpanContext\n ):\n raise TypeError(\n \"parent_span_context must be a SpanContext or None.\"\n )\n\n if parent_span_context is None or not parent_span_context.is_valid:\n parent_span_context = None\n trace_id = self.source.ids_generator.generate_trace_id()\n trace_flags = None\n trace_state = None\n else:\n trace_id = parent_span_context.trace_id\n trace_flags = parent_span_context.trace_flags\n trace_state = parent_span_context.trace_state\n\n # The sampler decides whether to create a real or no-op span at the\n # time of span creation. No-op spans do not record events, and are not\n # exported.\n # The sampler may also add attributes to the newly-created span, e.g.\n # to include information about the sampling result.\n sampling_result = self.source.sampler.should_sample(\n parent_span_context, trace_id, name, attributes, links,\n )\n\n trace_flags = (\n trace_api.TraceFlags(trace_api.TraceFlags.SAMPLED)\n if sampling_result.decision.is_sampled()\n else trace_api.TraceFlags(trace_api.TraceFlags.DEFAULT)\n )\n context = trace_api.SpanContext(\n trace_id,\n self.source.ids_generator.generate_span_id(),\n is_remote=False,\n trace_flags=trace_flags,\n trace_state=trace_state,\n )\n\n # Only record if is_recording() is true\n if sampling_result.decision.is_recording():\n # pylint:disable=protected-access\n span = _Span(\n name=name,\n context=context,\n parent=parent_span_context,\n sampler=self.source.sampler,\n resource=self.source.resource,\n attributes=sampling_result.attributes.copy(),\n span_processor=self.source._active_span_processor,\n kind=kind,\n links=links,\n instrumentation_info=self.instrumentation_info,\n set_status_on_exception=set_status_on_exception,\n )\n span.start(start_time=start_time)\n else:\n span = trace_api.DefaultSpan(context=context)\n return span\n\n @contextmanager\n def use_span(\n self,\n span: trace_api.Span,\n end_on_exit: bool = False,\n record_exception: bool = True,\n ) -> Iterator[trace_api.Span]:\n try:\n token = context_api.attach(context_api.set_value(SPAN_KEY, span))\n try:\n yield span\n finally:\n context_api.detach(token)\n\n except Exception as error: # pylint: disable=broad-except\n # pylint:disable=protected-access\n if isinstance(span, Span):\n if record_exception:\n span.record_exception(error)\n\n if span.status is None and span._set_status_on_exception:\n span.set_status(\n Status(\n canonical_code=getattr(\n error,\n EXCEPTION_STATUS_FIELD,\n StatusCanonicalCode.UNKNOWN,\n ),\n description=\"{}: {}\".format(\n type(error).__name__, error\n ),\n )\n )\n raise\n\n finally:\n if end_on_exit:\n span.end()\n\n\nclass TracerProvider(trace_api.TracerProvider):\n def __init__(\n self,\n sampler: sampling.Sampler = sampling.DEFAULT_ON,\n resource: Resource = Resource.create({}),\n shutdown_on_exit: bool = True,\n active_span_processor: Union[\n SynchronousMultiSpanProcessor, ConcurrentMultiSpanProcessor\n ] = None,\n ids_generator: trace_api.IdsGenerator = None,\n ):\n self._active_span_processor = (\n active_span_processor or SynchronousMultiSpanProcessor()\n )\n if ids_generator is None:\n self.ids_generator = trace_api.RandomIdsGenerator()\n else:\n self.ids_generator = ids_generator\n self.resource = resource\n self.sampler = sampler\n self._atexit_handler = None\n if shutdown_on_exit:\n self._atexit_handler = atexit.register(self.shutdown)\n\n def get_tracer(\n self,\n instrumenting_module_name: str,\n instrumenting_library_version: str = \"\",\n ) -> \"trace_api.Tracer\":\n if not instrumenting_module_name: # Reject empty strings too.\n instrumenting_module_name = \"ERROR:MISSING MODULE NAME\"\n logger.error(\"get_tracer called with missing module name.\")\n return Tracer(\n self,\n InstrumentationInfo(\n instrumenting_module_name, instrumenting_library_version\n ),\n )\n\n def add_span_processor(self, span_processor: SpanProcessor) -> None:\n \"\"\"Registers a new :class:`SpanProcessor` for this `TracerProvider`.\n\n The span processors are invoked in the same order they are registered.\n \"\"\"\n\n # no lock here because add_span_processor is thread safe for both\n # SynchronousMultiSpanProcessor and ConcurrentMultiSpanProcessor.\n self._active_span_processor.add_span_processor(span_processor)\n\n def shutdown(self):\n \"\"\"Shut down the span processors added to the tracer.\"\"\"\n self._active_span_processor.shutdown()\n if self._atexit_handler is not None:\n atexit.unregister(self._atexit_handler)\n self._atexit_handler = None\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Requests the active span processor to process all spans that have not\n yet been processed.\n\n By default force flush is called sequentially on all added span\n processors. This means that span processors further back in the list\n have less time to flush their spans.\n To have span processors flush their spans in parallel it is possible to\n initialize the tracer provider with an instance of\n `ConcurrentMultiSpanProcessor` at the cost of using multiple threads.\n\n Args:\n timeout_millis: The maximum amount of time to wait for spans to be\n processed.\n\n Returns:\n False if the timeout is exceeded, True otherwise.\n \"\"\"\n return self._active_span_processor.force_flush(timeout_millis)\n", "path": "opentelemetry-sdk/src/opentelemetry/sdk/trace/__init__.py" } ]
[ { "content": "# Copyright The OpenTelemetry Authors\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\nimport abc\nimport atexit\nimport concurrent.futures\nimport json\nimport logging\nimport threading\nimport traceback\nfrom collections import OrderedDict\nfrom contextlib import contextmanager\nfrom types import MappingProxyType, TracebackType\nfrom typing import (\n Any,\n Callable,\n Iterator,\n MutableSequence,\n Optional,\n Sequence,\n Tuple,\n Type,\n Union,\n)\n\nfrom opentelemetry import context as context_api\nfrom opentelemetry import trace as trace_api\nfrom opentelemetry.sdk import util\nfrom opentelemetry.sdk.resources import Resource\nfrom opentelemetry.sdk.trace import sampling\nfrom opentelemetry.sdk.util import BoundedDict, BoundedList\nfrom opentelemetry.sdk.util.instrumentation import InstrumentationInfo\nfrom opentelemetry.trace import SpanContext\nfrom opentelemetry.trace.propagation import SPAN_KEY\nfrom opentelemetry.trace.status import (\n EXCEPTION_STATUS_FIELD,\n Status,\n StatusCanonicalCode,\n)\nfrom opentelemetry.util import time_ns, types\n\nlogger = logging.getLogger(__name__)\n\nMAX_NUM_ATTRIBUTES = 1000\nMAX_NUM_EVENTS = 1000\nMAX_NUM_LINKS = 1000\nVALID_ATTR_VALUE_TYPES = (bool, str, int, float)\n\n\nclass SpanProcessor:\n \"\"\"Interface which allows hooks for SDK's `Span` start and end method\n invocations.\n\n Span processors can be registered directly using\n :func:`TracerProvider.add_span_processor` and they are invoked\n in the same order as they were registered.\n \"\"\"\n\n def on_start(self, span: \"Span\") -> None:\n \"\"\"Called when a :class:`opentelemetry.trace.Span` is started.\n\n This method is called synchronously on the thread that starts the\n span, therefore it should not block or throw an exception.\n\n Args:\n span: The :class:`opentelemetry.trace.Span` that just started.\n \"\"\"\n\n def on_end(self, span: \"Span\") -> None:\n \"\"\"Called when a :class:`opentelemetry.trace.Span` is ended.\n\n This method is called synchronously on the thread that ends the\n span, therefore it should not block or throw an exception.\n\n Args:\n span: The :class:`opentelemetry.trace.Span` that just ended.\n \"\"\"\n\n def shutdown(self) -> None:\n \"\"\"Called when a :class:`opentelemetry.sdk.trace.Tracer` is shutdown.\n \"\"\"\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Export all ended spans to the configured Exporter that have not yet\n been exported.\n\n Args:\n timeout_millis: The maximum amount of time to wait for spans to be\n exported.\n\n Returns:\n False if the timeout is exceeded, True otherwise.\n \"\"\"\n\n\nclass SynchronousMultiSpanProcessor(SpanProcessor):\n \"\"\"Implementation of class:`SpanProcessor` that forwards all received\n events to a list of span processors sequentially.\n\n The underlying span processors are called in sequential order as they were\n added.\n \"\"\"\n\n def __init__(self):\n # use a tuple to avoid race conditions when adding a new span and\n # iterating through it on \"on_start\" and \"on_end\".\n self._span_processors = () # type: Tuple[SpanProcessor, ...]\n self._lock = threading.Lock()\n\n def add_span_processor(self, span_processor: SpanProcessor) -> None:\n \"\"\"Adds a SpanProcessor to the list handled by this instance.\"\"\"\n with self._lock:\n self._span_processors = self._span_processors + (span_processor,)\n\n def on_start(self, span: \"Span\") -> None:\n for sp in self._span_processors:\n sp.on_start(span)\n\n def on_end(self, span: \"Span\") -> None:\n for sp in self._span_processors:\n sp.on_end(span)\n\n def shutdown(self) -> None:\n \"\"\"Sequentially shuts down all underlying span processors.\n \"\"\"\n for sp in self._span_processors:\n sp.shutdown()\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Sequentially calls force_flush on all underlying\n :class:`SpanProcessor`\n\n Args:\n timeout_millis: The maximum amount of time over all span processors\n to wait for spans to be exported. In case the first n span\n processors exceeded the timeout followup span processors will be\n skipped.\n\n Returns:\n True if all span processors flushed their spans within the\n given timeout, False otherwise.\n \"\"\"\n deadline_ns = time_ns() + timeout_millis * 1000000\n for sp in self._span_processors:\n current_time_ns = time_ns()\n if current_time_ns >= deadline_ns:\n return False\n\n if not sp.force_flush((deadline_ns - current_time_ns) // 1000000):\n return False\n\n return True\n\n\nclass ConcurrentMultiSpanProcessor(SpanProcessor):\n \"\"\"Implementation of :class:`SpanProcessor` that forwards all received\n events to a list of span processors in parallel.\n\n Calls to the underlying span processors are forwarded in parallel by\n submitting them to a thread pool executor and waiting until each span\n processor finished its work.\n\n Args:\n num_threads: The number of threads managed by the thread pool executor\n and thus defining how many span processors can work in parallel.\n \"\"\"\n\n def __init__(self, num_threads: int = 2):\n # use a tuple to avoid race conditions when adding a new span and\n # iterating through it on \"on_start\" and \"on_end\".\n self._span_processors = () # type: Tuple[SpanProcessor, ...]\n self._lock = threading.Lock()\n self._executor = concurrent.futures.ThreadPoolExecutor(\n max_workers=num_threads\n )\n\n def add_span_processor(self, span_processor: SpanProcessor) -> None:\n \"\"\"Adds a SpanProcessor to the list handled by this instance.\"\"\"\n with self._lock:\n self._span_processors = self._span_processors + (span_processor,)\n\n def _submit_and_await(\n self, func: Callable[[SpanProcessor], Callable[..., None]], *args: Any\n ):\n futures = []\n for sp in self._span_processors:\n future = self._executor.submit(func(sp), *args)\n futures.append(future)\n for future in futures:\n future.result()\n\n def on_start(self, span: \"Span\") -> None:\n self._submit_and_await(lambda sp: sp.on_start, span)\n\n def on_end(self, span: \"Span\") -> None:\n self._submit_and_await(lambda sp: sp.on_end, span)\n\n def shutdown(self) -> None:\n \"\"\"Shuts down all underlying span processors in parallel.\"\"\"\n self._submit_and_await(lambda sp: sp.shutdown)\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Calls force_flush on all underlying span processors in parallel.\n\n Args:\n timeout_millis: The maximum amount of time to wait for spans to be\n exported.\n\n Returns:\n True if all span processors flushed their spans within the given\n timeout, False otherwise.\n \"\"\"\n futures = []\n for sp in self._span_processors: # type: SpanProcessor\n future = self._executor.submit(sp.force_flush, timeout_millis)\n futures.append(future)\n\n timeout_sec = timeout_millis / 1e3\n done_futures, not_done_futures = concurrent.futures.wait(\n futures, timeout_sec\n )\n if not_done_futures:\n return False\n\n for future in done_futures:\n if not future.result():\n return False\n\n return True\n\n\nclass EventBase(abc.ABC):\n def __init__(self, name: str, timestamp: Optional[int] = None) -> None:\n self._name = name\n if timestamp is None:\n self._timestamp = time_ns()\n else:\n self._timestamp = timestamp\n\n @property\n def name(self) -> str:\n return self._name\n\n @property\n def timestamp(self) -> int:\n return self._timestamp\n\n @property\n @abc.abstractmethod\n def attributes(self) -> types.Attributes:\n pass\n\n\nclass Event(EventBase):\n \"\"\"A text annotation with a set of attributes.\n\n Args:\n name: Name of the event.\n attributes: Attributes of the event.\n timestamp: Timestamp of the event. If `None` it will filled\n automatically.\n \"\"\"\n\n def __init__(\n self,\n name: str,\n attributes: types.Attributes = None,\n timestamp: Optional[int] = None,\n ) -> None:\n super().__init__(name, timestamp)\n self._attributes = attributes\n\n @property\n def attributes(self) -> types.Attributes:\n return self._attributes\n\n\ndef _is_valid_attribute_value(value: types.AttributeValue) -> bool:\n \"\"\"Checks if attribute value is valid.\n\n An attribute value is valid if it is one of the valid types. If the value\n is a sequence, it is only valid if all items in the sequence are of valid\n type, not a sequence, and are of the same type.\n \"\"\"\n\n if isinstance(value, Sequence):\n if len(value) == 0:\n return True\n\n first_element_type = type(value[0])\n\n if first_element_type not in VALID_ATTR_VALUE_TYPES:\n logger.warning(\n \"Invalid type %s in attribute value sequence. Expected one of \"\n \"%s or a sequence of those types\",\n first_element_type.__name__,\n [valid_type.__name__ for valid_type in VALID_ATTR_VALUE_TYPES],\n )\n return False\n\n for element in list(value)[1:]:\n if not isinstance(element, first_element_type):\n logger.warning(\n \"Mixed types %s and %s in attribute value sequence\",\n first_element_type.__name__,\n type(element).__name__,\n )\n return False\n elif not isinstance(value, VALID_ATTR_VALUE_TYPES):\n logger.warning(\n \"Invalid type %s for attribute value. Expected one of %s or a \"\n \"sequence of those types\",\n type(value).__name__,\n [valid_type.__name__ for valid_type in VALID_ATTR_VALUE_TYPES],\n )\n return False\n return True\n\n\ndef _filter_attribute_values(attributes: types.Attributes):\n if attributes:\n for attr_key, attr_value in list(attributes.items()):\n if _is_valid_attribute_value(attr_value):\n if isinstance(attr_value, MutableSequence):\n attributes[attr_key] = tuple(attr_value)\n else:\n attributes.pop(attr_key)\n\n\ndef _create_immutable_attributes(attributes):\n return MappingProxyType(attributes.copy() if attributes else {})\n\n\nclass Span(trace_api.Span):\n \"\"\"See `opentelemetry.trace.Span`.\n\n Users should create `Span` objects via the `Tracer` instead of this\n constructor.\n\n Args:\n name: The name of the operation this span represents\n context: The immutable span context\n parent: This span's parent's `opentelemetry.trace.SpanContext`, or\n None if this is a root span\n sampler: The sampler used to create this span\n trace_config: TODO\n resource: Entity producing telemetry\n attributes: The span's attributes to be exported\n events: Timestamped events to be exported\n links: Links to other spans to be exported\n span_processor: `SpanProcessor` to invoke when starting and ending\n this `Span`.\n \"\"\"\n\n def __new__(cls, *args, **kwargs):\n if cls is Span:\n raise TypeError(\"Span must be instantiated via a tracer.\")\n return super().__new__(cls)\n\n def __init__(\n self,\n name: str,\n context: trace_api.SpanContext,\n parent: Optional[trace_api.SpanContext] = None,\n sampler: Optional[sampling.Sampler] = None,\n trace_config: None = None, # TODO\n resource: Resource = Resource.create({}),\n attributes: types.Attributes = None, # TODO\n events: Sequence[Event] = None, # TODO\n links: Sequence[trace_api.Link] = (),\n kind: trace_api.SpanKind = trace_api.SpanKind.INTERNAL,\n span_processor: SpanProcessor = SpanProcessor(),\n instrumentation_info: InstrumentationInfo = None,\n set_status_on_exception: bool = True,\n ) -> None:\n\n self.name = name\n self.context = context\n self.parent = parent\n self.sampler = sampler\n self.trace_config = trace_config\n self.resource = resource\n self.kind = kind\n self._set_status_on_exception = set_status_on_exception\n\n self.span_processor = span_processor\n self.status = None\n self._lock = threading.Lock()\n\n _filter_attribute_values(attributes)\n if not attributes:\n self.attributes = self._new_attributes()\n else:\n self.attributes = BoundedDict.from_map(\n MAX_NUM_ATTRIBUTES, attributes\n )\n\n self.events = self._new_events()\n if events:\n for event in events:\n _filter_attribute_values(event.attributes)\n # pylint: disable=protected-access\n event._attributes = _create_immutable_attributes(\n event.attributes\n )\n self.events.append(event)\n\n if links is None:\n self.links = self._new_links()\n else:\n self.links = BoundedList.from_seq(MAX_NUM_LINKS, links)\n\n self._end_time = None # type: Optional[int]\n self._start_time = None # type: Optional[int]\n self.instrumentation_info = instrumentation_info\n\n @property\n def start_time(self):\n return self._start_time\n\n @property\n def end_time(self):\n return self._end_time\n\n def __repr__(self):\n return '{}(name=\"{}\", context={})'.format(\n type(self).__name__, self.name, self.context\n )\n\n @staticmethod\n def _new_attributes():\n return BoundedDict(MAX_NUM_ATTRIBUTES)\n\n @staticmethod\n def _new_events():\n return BoundedList(MAX_NUM_EVENTS)\n\n @staticmethod\n def _new_links():\n return BoundedList(MAX_NUM_LINKS)\n\n @staticmethod\n def _format_context(context):\n x_ctx = OrderedDict()\n x_ctx[\"trace_id\"] = trace_api.format_trace_id(context.trace_id)\n x_ctx[\"span_id\"] = trace_api.format_span_id(context.span_id)\n x_ctx[\"trace_state\"] = repr(context.trace_state)\n return x_ctx\n\n @staticmethod\n def _format_attributes(attributes):\n if isinstance(attributes, BoundedDict):\n return attributes._dict # pylint: disable=protected-access\n if isinstance(attributes, MappingProxyType):\n return attributes.copy()\n return attributes\n\n @staticmethod\n def _format_events(events):\n f_events = []\n for event in events:\n f_event = OrderedDict()\n f_event[\"name\"] = event.name\n f_event[\"timestamp\"] = util.ns_to_iso_str(event.timestamp)\n f_event[\"attributes\"] = Span._format_attributes(event.attributes)\n f_events.append(f_event)\n return f_events\n\n @staticmethod\n def _format_links(links):\n f_links = []\n for link in links:\n f_link = OrderedDict()\n f_link[\"context\"] = Span._format_context(link.context)\n f_link[\"attributes\"] = Span._format_attributes(link.attributes)\n f_links.append(f_link)\n return f_links\n\n def to_json(self, indent=4):\n parent_id = None\n if self.parent is not None:\n if isinstance(self.parent, Span):\n ctx = self.parent.context\n parent_id = trace_api.format_span_id(ctx.span_id)\n elif isinstance(self.parent, SpanContext):\n parent_id = trace_api.format_span_id(self.parent.span_id)\n\n start_time = None\n if self.start_time:\n start_time = util.ns_to_iso_str(self.start_time)\n\n end_time = None\n if self.end_time:\n end_time = util.ns_to_iso_str(self.end_time)\n\n if self.status is not None:\n status = OrderedDict()\n status[\"canonical_code\"] = str(self.status.canonical_code.name)\n if self.status.description:\n status[\"description\"] = self.status.description\n\n f_span = OrderedDict()\n\n f_span[\"name\"] = self.name\n f_span[\"context\"] = self._format_context(self.context)\n f_span[\"kind\"] = str(self.kind)\n f_span[\"parent_id\"] = parent_id\n f_span[\"start_time\"] = start_time\n f_span[\"end_time\"] = end_time\n if self.status is not None:\n f_span[\"status\"] = status\n f_span[\"attributes\"] = self._format_attributes(self.attributes)\n f_span[\"events\"] = self._format_events(self.events)\n f_span[\"links\"] = self._format_links(self.links)\n f_span[\"resource\"] = self.resource.attributes\n\n return json.dumps(f_span, indent=indent)\n\n def get_span_context(self):\n return self.context\n\n def set_attribute(self, key: str, value: types.AttributeValue) -> None:\n with self._lock:\n if not self.is_recording():\n return\n has_ended = self.end_time is not None\n if has_ended:\n logger.warning(\"Setting attribute on ended span.\")\n return\n\n if not key:\n logger.warning(\"invalid key (empty or null)\")\n return\n\n if _is_valid_attribute_value(value):\n # Freeze mutable sequences defensively\n if isinstance(value, MutableSequence):\n value = tuple(value)\n if isinstance(value, bytes):\n try:\n value = value.decode()\n except ValueError:\n logger.warning(\"Byte attribute could not be decoded.\")\n return\n with self._lock:\n self.attributes[key] = value\n\n def _add_event(self, event: EventBase) -> None:\n with self._lock:\n if not self.is_recording():\n return\n has_ended = self.end_time is not None\n\n if has_ended:\n logger.warning(\"Calling add_event() on an ended span.\")\n return\n self.events.append(event)\n\n def add_event(\n self,\n name: str,\n attributes: types.Attributes = None,\n timestamp: Optional[int] = None,\n ) -> None:\n _filter_attribute_values(attributes)\n attributes = _create_immutable_attributes(attributes)\n self._add_event(\n Event(\n name=name,\n attributes=attributes,\n timestamp=time_ns() if timestamp is None else timestamp,\n )\n )\n\n def start(self, start_time: Optional[int] = None) -> None:\n with self._lock:\n if not self.is_recording():\n return\n has_started = self.start_time is not None\n if not has_started:\n self._start_time = (\n start_time if start_time is not None else time_ns()\n )\n if has_started:\n logger.warning(\"Calling start() on a started span.\")\n return\n self.span_processor.on_start(self)\n\n def end(self, end_time: Optional[int] = None) -> None:\n with self._lock:\n if not self.is_recording():\n return\n if self.start_time is None:\n raise RuntimeError(\"Calling end() on a not started span.\")\n has_ended = self.end_time is not None\n if not has_ended:\n if self.status is None:\n self.status = Status(canonical_code=StatusCanonicalCode.OK)\n\n self._end_time = (\n end_time if end_time is not None else time_ns()\n )\n\n if has_ended:\n logger.warning(\"Calling end() on an ended span.\")\n return\n\n self.span_processor.on_end(self)\n\n def update_name(self, name: str) -> None:\n with self._lock:\n has_ended = self.end_time is not None\n if has_ended:\n logger.warning(\"Calling update_name() on an ended span.\")\n return\n self.name = name\n\n def is_recording(self) -> bool:\n return True\n\n def set_status(self, status: trace_api.Status) -> None:\n with self._lock:\n has_ended = self.end_time is not None\n if has_ended:\n logger.warning(\"Calling set_status() on an ended span.\")\n return\n self.status = status\n\n def __exit__(\n self,\n exc_type: Optional[Type[BaseException]],\n exc_val: Optional[BaseException],\n exc_tb: Optional[TracebackType],\n ) -> None:\n \"\"\"Ends context manager and calls `end` on the `Span`.\"\"\"\n\n if (\n self.status is None\n and self._set_status_on_exception\n and exc_val is not None\n ):\n self.set_status(\n Status(\n canonical_code=StatusCanonicalCode.UNKNOWN,\n description=\"{}: {}\".format(exc_type.__name__, exc_val),\n )\n )\n\n super().__exit__(exc_type, exc_val, exc_tb)\n\n def record_exception(self, exception: Exception) -> None:\n \"\"\"Records an exception as a span event.\"\"\"\n try:\n stacktrace = traceback.format_exc()\n except Exception: # pylint: disable=broad-except\n # workaround for python 3.4, format_exc can raise\n # an AttributeError if the __context__ on\n # an exception is None\n stacktrace = \"Exception occurred on stacktrace formatting\"\n\n self.add_event(\n name=\"exception\",\n attributes={\n \"exception.type\": exception.__class__.__name__,\n \"exception.message\": str(exception),\n \"exception.stacktrace\": stacktrace,\n },\n )\n\n\nclass _Span(Span):\n \"\"\"Protected implementation of `opentelemetry.trace.Span`.\n\n This constructor should only be used internally.\n \"\"\"\n\n\nclass Tracer(trace_api.Tracer):\n \"\"\"See `opentelemetry.trace.Tracer`.\n\n Args:\n name: The name of the tracer.\n shutdown_on_exit: Register an atexit hook to shut down the tracer when\n the application exits.\n \"\"\"\n\n def __init__(\n self,\n source: \"TracerProvider\",\n instrumentation_info: InstrumentationInfo,\n ) -> None:\n self.source = source\n self.instrumentation_info = instrumentation_info\n\n def start_as_current_span(\n self,\n name: str,\n context: Optional[context_api.Context] = None,\n kind: trace_api.SpanKind = trace_api.SpanKind.INTERNAL,\n attributes: types.Attributes = None,\n links: Sequence[trace_api.Link] = (),\n record_exception: bool = True,\n ) -> Iterator[trace_api.Span]:\n span = self.start_span(name, context, kind, attributes, links)\n return self.use_span(\n span, end_on_exit=True, record_exception=record_exception\n )\n\n def start_span( # pylint: disable=too-many-locals\n self,\n name: str,\n context: Optional[context_api.Context] = None,\n kind: trace_api.SpanKind = trace_api.SpanKind.INTERNAL,\n attributes: types.Attributes = None,\n links: Sequence[trace_api.Link] = (),\n start_time: Optional[int] = None,\n set_status_on_exception: bool = True,\n ) -> trace_api.Span:\n\n parent_span_context = trace_api.get_current_span(\n context\n ).get_span_context()\n\n if parent_span_context is not None and not isinstance(\n parent_span_context, trace_api.SpanContext\n ):\n raise TypeError(\n \"parent_span_context must be a SpanContext or None.\"\n )\n\n if parent_span_context is None or not parent_span_context.is_valid:\n parent_span_context = None\n trace_id = self.source.ids_generator.generate_trace_id()\n trace_flags = None\n trace_state = None\n else:\n trace_id = parent_span_context.trace_id\n trace_flags = parent_span_context.trace_flags\n trace_state = parent_span_context.trace_state\n\n # The sampler decides whether to create a real or no-op span at the\n # time of span creation. No-op spans do not record events, and are not\n # exported.\n # The sampler may also add attributes to the newly-created span, e.g.\n # to include information about the sampling result.\n sampling_result = self.source.sampler.should_sample(\n parent_span_context, trace_id, name, attributes, links,\n )\n\n trace_flags = (\n trace_api.TraceFlags(trace_api.TraceFlags.SAMPLED)\n if sampling_result.decision.is_sampled()\n else trace_api.TraceFlags(trace_api.TraceFlags.DEFAULT)\n )\n context = trace_api.SpanContext(\n trace_id,\n self.source.ids_generator.generate_span_id(),\n is_remote=False,\n trace_flags=trace_flags,\n trace_state=trace_state,\n )\n\n # Only record if is_recording() is true\n if sampling_result.decision.is_recording():\n # pylint:disable=protected-access\n span = _Span(\n name=name,\n context=context,\n parent=parent_span_context,\n sampler=self.source.sampler,\n resource=self.source.resource,\n attributes=sampling_result.attributes.copy(),\n span_processor=self.source._active_span_processor,\n kind=kind,\n links=links,\n instrumentation_info=self.instrumentation_info,\n set_status_on_exception=set_status_on_exception,\n )\n span.start(start_time=start_time)\n else:\n span = trace_api.DefaultSpan(context=context)\n return span\n\n @contextmanager\n def use_span(\n self,\n span: trace_api.Span,\n end_on_exit: bool = False,\n record_exception: bool = True,\n ) -> Iterator[trace_api.Span]:\n try:\n token = context_api.attach(context_api.set_value(SPAN_KEY, span))\n try:\n yield span\n finally:\n context_api.detach(token)\n\n except Exception as error: # pylint: disable=broad-except\n # pylint:disable=protected-access\n if isinstance(span, Span):\n if record_exception:\n span.record_exception(error)\n\n if span.status is None and span._set_status_on_exception:\n span.set_status(\n Status(\n canonical_code=getattr(\n error,\n EXCEPTION_STATUS_FIELD,\n StatusCanonicalCode.UNKNOWN,\n ),\n description=\"{}: {}\".format(\n type(error).__name__, error\n ),\n )\n )\n raise\n\n finally:\n if end_on_exit:\n span.end()\n\n\nclass TracerProvider(trace_api.TracerProvider):\n def __init__(\n self,\n sampler: sampling.Sampler = sampling.DEFAULT_ON,\n resource: Resource = Resource.create({}),\n shutdown_on_exit: bool = True,\n active_span_processor: Union[\n SynchronousMultiSpanProcessor, ConcurrentMultiSpanProcessor\n ] = None,\n ids_generator: trace_api.IdsGenerator = None,\n ):\n self._active_span_processor = (\n active_span_processor or SynchronousMultiSpanProcessor()\n )\n if ids_generator is None:\n self.ids_generator = trace_api.RandomIdsGenerator()\n else:\n self.ids_generator = ids_generator\n self.resource = resource\n self.sampler = sampler\n self._atexit_handler = None\n if shutdown_on_exit:\n self._atexit_handler = atexit.register(self.shutdown)\n\n def get_tracer(\n self,\n instrumenting_module_name: str,\n instrumenting_library_version: str = \"\",\n ) -> \"trace_api.Tracer\":\n if not instrumenting_module_name: # Reject empty strings too.\n instrumenting_module_name = \"ERROR:MISSING MODULE NAME\"\n logger.error(\"get_tracer called with missing module name.\")\n return Tracer(\n self,\n InstrumentationInfo(\n instrumenting_module_name, instrumenting_library_version\n ),\n )\n\n def add_span_processor(self, span_processor: SpanProcessor) -> None:\n \"\"\"Registers a new :class:`SpanProcessor` for this `TracerProvider`.\n\n The span processors are invoked in the same order they are registered.\n \"\"\"\n\n # no lock here because add_span_processor is thread safe for both\n # SynchronousMultiSpanProcessor and ConcurrentMultiSpanProcessor.\n self._active_span_processor.add_span_processor(span_processor)\n\n def shutdown(self):\n \"\"\"Shut down the span processors added to the tracer.\"\"\"\n self._active_span_processor.shutdown()\n if self._atexit_handler is not None:\n atexit.unregister(self._atexit_handler)\n self._atexit_handler = None\n\n def force_flush(self, timeout_millis: int = 30000) -> bool:\n \"\"\"Requests the active span processor to process all spans that have not\n yet been processed.\n\n By default force flush is called sequentially on all added span\n processors. This means that span processors further back in the list\n have less time to flush their spans.\n To have span processors flush their spans in parallel it is possible to\n initialize the tracer provider with an instance of\n `ConcurrentMultiSpanProcessor` at the cost of using multiple threads.\n\n Args:\n timeout_millis: The maximum amount of time to wait for spans to be\n processed.\n\n Returns:\n False if the timeout is exceeded, True otherwise.\n \"\"\"\n return self._active_span_processor.force_flush(timeout_millis)\n", "path": "opentelemetry-sdk/src/opentelemetry/sdk/trace/__init__.py" } ]
diff --git a/opentelemetry-sdk/src/opentelemetry/sdk/trace/__init__.py b/opentelemetry-sdk/src/opentelemetry/sdk/trace/__init__.py index c43ceaf33a8..1d27e5c739b 100644 --- a/opentelemetry-sdk/src/opentelemetry/sdk/trace/__init__.py +++ b/opentelemetry-sdk/src/opentelemetry/sdk/trace/__init__.py @@ -53,9 +53,9 @@ logger = logging.getLogger(__name__) -MAX_NUM_ATTRIBUTES = 32 -MAX_NUM_EVENTS = 128 -MAX_NUM_LINKS = 32 +MAX_NUM_ATTRIBUTES = 1000 +MAX_NUM_EVENTS = 1000 +MAX_NUM_LINKS = 1000 VALID_ATTR_VALUE_TYPES = (bool, str, int, float)
Update limits for collection size As per the spec change here https://github.com/open-telemetry/opentelemetry-specification/commit/507884f02618a91247fe3634a8c6c5ac99a32a40 The limits for event, attribute and link collection should be 1000
translate__pootle-4399
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) Pootle contributors.\n#\n# This file is a part of the Pootle project. It is distributed under the GPL3\n# or later license. See the LICENSE file for a copy of the license and the\n# AUTHORS file for copyright and authorship information.\n\nfrom itertools import groupby\n\nfrom translate.lang import data\n\nfrom django.conf import settings\nfrom django.contrib.auth import get_user_model\nfrom django.core.exceptions import ObjectDoesNotExist, PermissionDenied\nfrom django.core.urlresolvers import resolve, reverse, Resolver404\nfrom django.db.models import Max, Q\nfrom django.http import Http404\nfrom django.shortcuts import redirect\nfrom django.template import RequestContext, loader\nfrom django.utils import timezone\nfrom django.utils.safestring import mark_safe\nfrom django.utils.translation import to_locale, ugettext as _\nfrom django.utils.translation.trans_real import parse_accept_lang_header\nfrom django.views.decorators.cache import never_cache\nfrom django.views.decorators.http import require_http_methods\n\nfrom pootle.core.dateparse import parse_datetime\nfrom pootle.core.decorators import (get_path_obj, get_resource,\n permission_required)\nfrom pootle.core.exceptions import Http400\nfrom pootle.core.http import JsonResponse, JsonResponseBadRequest\nfrom pootle_app.models.directory import Directory\nfrom pootle_app.models.permissions import (check_permission,\n check_user_permission)\nfrom pootle_misc.checks import check_names, get_category_id\nfrom pootle_misc.forms import make_search_form\nfrom pootle_misc.util import ajax_required, get_date_interval, to_int\nfrom pootle_statistics.models import (Submission, SubmissionFields,\n SubmissionTypes)\n\nfrom .decorators import get_unit_context\nfrom .fields import to_python\nfrom .forms import (highlight_whitespace, unit_comment_form_factory,\n unit_form_factory)\nfrom .models import SuggestionStates, Unit\nfrom .templatetags.store_tags import (highlight_diffs, pluralize_source,\n pluralize_target)\nfrom .util import FUZZY, STATES_MAP, TRANSLATED, UNTRANSLATED, find_altsrcs\n\n\n#: Mapping of allowed sorting criteria.\n#: Keys are supported query strings, values are the field + order that\n#: will be used against the DB.\nALLOWED_SORTS = {\n 'units': {\n 'priority': 'priority',\n 'oldest': 'submitted_on',\n 'newest': '-submitted_on',\n },\n 'suggestions': {\n 'oldest': 'suggestion__creation_time',\n 'newest': '-suggestion__creation_time',\n },\n 'submissions': {\n 'oldest': 'submission__creation_time',\n 'newest': '-submission__creation_time',\n },\n}\n\n\n#: List of fields from `ALLOWED_SORTS` that can be sorted by simply using\n#: `order_by(field)`\nSIMPLY_SORTED = ['units']\n\n\ndef get_alt_src_langs(request, user, translation_project):\n language = translation_project.language\n project = translation_project.project\n source_language = project.source_language\n\n langs = user.alt_src_langs.exclude(\n id__in=(language.id, source_language.id)\n ).filter(translationproject__project=project)\n\n if not user.alt_src_langs.count():\n from pootle_language.models import Language\n accept = request.META.get('HTTP_ACCEPT_LANGUAGE', '')\n\n for accept_lang, unused in parse_accept_lang_header(accept):\n if accept_lang == '*':\n continue\n\n simplified = data.simplify_to_common(accept_lang)\n normalized = to_locale(data.normalize_code(simplified))\n code = to_locale(accept_lang)\n if (normalized in\n ('en', 'en_US', source_language.code, language.code) or\n code in ('en', 'en_US', source_language.code, language.code)):\n continue\n\n langs = Language.objects.filter(\n code__in=(normalized, code),\n translationproject__project=project,\n )\n if langs.count():\n break\n\n return langs\n\n\ndef get_search_query(form, units_queryset):\n words = form.cleaned_data['search'].split()\n result = units_queryset.none()\n\n if 'source' in form.cleaned_data['sfields']:\n subresult = units_queryset\n for word in words:\n subresult = subresult.filter(source_f__icontains=word)\n result = result | subresult\n\n if 'target' in form.cleaned_data['sfields']:\n subresult = units_queryset\n for word in words:\n subresult = subresult.filter(target_f__icontains=word)\n result = result | subresult\n\n if 'notes' in form.cleaned_data['sfields']:\n translator_subresult = units_queryset\n developer_subresult = units_queryset\n for word in words:\n translator_subresult = translator_subresult.filter(\n translator_comment__icontains=word,\n )\n developer_subresult = developer_subresult.filter(\n developer_comment__icontains=word,\n )\n result = result | translator_subresult | developer_subresult\n\n if 'locations' in form.cleaned_data['sfields']:\n subresult = units_queryset\n for word in words:\n subresult = subresult.filter(locations__icontains=word)\n result = result | subresult\n\n return result\n\n\ndef get_search_exact_query(form, units_queryset):\n phrase = form.cleaned_data['search']\n result = units_queryset.none()\n\n if 'source' in form.cleaned_data['sfields']:\n subresult = units_queryset.filter(source_f__contains=phrase)\n result = result | subresult\n\n if 'target' in form.cleaned_data['sfields']:\n subresult = units_queryset.filter(target_f__contains=phrase)\n result = result | subresult\n\n if 'notes' in form.cleaned_data['sfields']:\n translator_subresult = units_queryset\n developer_subresult = units_queryset\n translator_subresult = translator_subresult.filter(\n translator_comment__contains=phrase,\n )\n developer_subresult = developer_subresult.filter(\n developer_comment__contains=phrase,\n )\n result = result | translator_subresult | developer_subresult\n\n if 'locations' in form.cleaned_data['sfields']:\n subresult = units_queryset.filter(locations__contains=phrase)\n result = result | subresult\n\n return result\n\n\ndef get_search_step_query(form, units_queryset):\n \"\"\"Narrows down units query to units matching search string.\"\"\"\n if 'exact' in form.cleaned_data['soptions']:\n return get_search_exact_query(form, units_queryset)\n\n return get_search_query(form, units_queryset)\n\n\ndef get_step_query(request, units_queryset):\n \"\"\"Narrows down unit query to units matching conditions in GET.\"\"\"\n if 'filter' in request.GET:\n unit_filter = request.GET['filter']\n username = request.GET.get('user', None)\n modified_since = request.GET.get('modified-since', None)\n month = request.GET.get('month', None)\n sort_by_param = request.GET.get('sort', None)\n sort_on = 'units'\n\n user = request.profile\n if username is not None:\n User = get_user_model()\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist:\n pass\n\n if unit_filter:\n match_queryset = units_queryset.none()\n\n if unit_filter == 'all':\n match_queryset = units_queryset\n elif unit_filter == 'translated':\n match_queryset = units_queryset.filter(state=TRANSLATED)\n elif unit_filter == 'untranslated':\n match_queryset = units_queryset.filter(state=UNTRANSLATED)\n elif unit_filter == 'fuzzy':\n match_queryset = units_queryset.filter(state=FUZZY)\n elif unit_filter == 'incomplete':\n match_queryset = units_queryset.filter(\n Q(state=UNTRANSLATED) | Q(state=FUZZY),\n )\n elif unit_filter == 'suggestions':\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.PENDING).distinct()\n elif unit_filter in ('my-suggestions', 'user-suggestions'):\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.PENDING,\n suggestion__user=user,\n ).distinct()\n sort_on = 'suggestions'\n elif unit_filter == 'user-suggestions-accepted':\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.ACCEPTED,\n suggestion__user=user,\n ).distinct()\n elif unit_filter == 'user-suggestions-rejected':\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.REJECTED,\n suggestion__user=user,\n ).distinct()\n elif unit_filter in ('my-submissions', 'user-submissions'):\n match_queryset = units_queryset.filter(\n submission__submitter=user,\n submission__type__in=SubmissionTypes.EDIT_TYPES,\n ).distinct()\n sort_on = 'submissions'\n elif (unit_filter in ('my-submissions-overwritten',\n 'user-submissions-overwritten')):\n match_queryset = units_queryset.filter(\n submission__submitter=user,\n submission__type__in=SubmissionTypes.EDIT_TYPES,\n ).exclude(submitted_by=user).distinct()\n elif unit_filter == 'checks':\n if 'checks' in request.GET:\n checks = request.GET['checks'].split(',')\n\n if checks:\n match_queryset = units_queryset.filter(\n qualitycheck__false_positive=False,\n qualitycheck__name__in=checks,\n ).distinct()\n elif 'category' in request.GET:\n category_name = request.GET['category']\n try:\n category = get_category_id(category_name)\n except KeyError:\n raise Http404\n\n match_queryset = units_queryset.filter(\n qualitycheck__false_positive=False,\n qualitycheck__category=category,\n ).distinct()\n\n if modified_since is not None:\n datetime_obj = parse_datetime(modified_since)\n if datetime_obj is not None:\n match_queryset = match_queryset.filter(\n submitted_on__gt=datetime_obj,\n ).distinct()\n\n if month is not None:\n [start, end] = get_date_interval(month)\n match_queryset = match_queryset.filter(\n submitted_on__gte=start,\n submitted_on__lte=end,\n ).distinct()\n\n sort_by = ALLOWED_SORTS[sort_on].get(sort_by_param, None)\n if sort_by is not None:\n if sort_on in SIMPLY_SORTED:\n match_queryset = match_queryset.order_by(sort_by)\n else:\n # Omit leading `-` sign\n if sort_by[0] == '-':\n max_field = sort_by[1:]\n sort_order = '-sort_by_field'\n else:\n max_field = sort_by\n sort_order = 'sort_by_field'\n\n # It's necessary to use `Max()` here because we can't\n # use `distinct()` and `order_by()` at the same time\n # (unless PostreSQL is used and `distinct(field_name)`)\n match_queryset = match_queryset \\\n .annotate(sort_by_field=Max(max_field)) \\\n .order_by(sort_order)\n\n units_queryset = match_queryset\n\n if 'search' in request.GET and 'sfields' in request.GET:\n # Accept `sfields` to be a comma-separated string of fields (#46)\n GET = request.GET.copy()\n sfields = GET['sfields']\n if isinstance(sfields, unicode) and u',' in sfields:\n GET.setlist('sfields', sfields.split(u','))\n\n # use the search form for validation only\n search_form = make_search_form(GET)\n\n if search_form.is_valid():\n units_queryset = get_search_step_query(search_form, units_queryset)\n\n return units_queryset\n\n\n#\n# Views used with XMLHttpRequest requests.\n#\n\ndef _filter_ctx_units(units_qs, unit, how_many, gap=0):\n \"\"\"Returns ``how_many``*2 units that are before and after ``index``.\"\"\"\n result = {'before': [], 'after': []}\n\n if how_many and unit.index - gap > 0:\n before = units_qs.filter(store=unit.store_id, index__lt=unit.index) \\\n .order_by('-index')[gap:how_many+gap]\n result['before'] = _build_units_list(before, reverse=True)\n result['before'].reverse()\n\n # FIXME: can we avoid this query if length is known?\n if how_many:\n after = units_qs.filter(store=unit.store_id,\n index__gt=unit.index)[gap:how_many+gap]\n result['after'] = _build_units_list(after)\n\n return result\n\n\ndef _prepare_unit(unit):\n \"\"\"Constructs a dictionary with relevant `unit` data.\"\"\"\n return {\n 'id': unit.id,\n 'url': unit.get_translate_url(),\n 'isfuzzy': unit.isfuzzy(),\n 'source': [source[1] for source in pluralize_source(unit)],\n 'target': [target[1] for target in pluralize_target(unit)],\n }\n\n\ndef _path_units_with_meta(path, units):\n \"\"\"Constructs a dictionary which contains a list of `units`\n corresponding to `path` as well as its metadata.\n \"\"\"\n meta = None\n units_list = []\n\n for unit in iter(units):\n if meta is None:\n # XXX: Watch out for the query count\n store = unit.store\n tp = store.translation_project\n project = tp.project\n meta = {\n 'source_lang': project.source_language.code,\n 'source_dir': project.source_language.direction,\n 'target_lang': tp.language.code,\n 'target_dir': tp.language.direction,\n 'project_code': project.code,\n 'project_style': project.checkstyle,\n }\n\n units_list.append(_prepare_unit(unit))\n\n return {\n path: {\n 'meta': meta,\n 'units': units_list,\n },\n }\n\n\ndef _build_units_list(units, reverse=False):\n \"\"\"Given a list/queryset of units, builds a list with the unit data\n contained in a dictionary ready to be returned as JSON.\n\n :return: A list with unit id, source, and target texts. In case of\n having plural forms, a title for the plural form is also provided.\n \"\"\"\n return_units = []\n\n for unit in iter(units):\n return_units.append(_prepare_unit(unit))\n\n return return_units\n\n\ndef _get_critical_checks_snippet(request, unit):\n \"\"\"Retrieves the critical checks snippet.\n\n :param request: an `HttpRequest` object\n :param unit: a `Unit` instance for which critical checks need to be\n rendered.\n :return: rendered HTML snippet with the failing checks, or `None` if\n there are no critical failing checks.\n \"\"\"\n if not unit.has_critical_checks():\n return None\n\n can_review = check_user_permission(request.profile, 'review',\n unit.store.parent)\n ctx = {\n 'canreview': can_review,\n 'unit': unit,\n }\n template = loader.get_template('editor/units/xhr_checks.html')\n return template.render(RequestContext(request, ctx))\n\n\n@ajax_required\ndef get_units(request):\n \"\"\"Gets source and target texts and its metadata.\n\n :return: A JSON-encoded string containing the source and target texts\n grouped by the store they belong to.\n\n The optional `count` GET parameter defines the chunk size to\n consider. The user's preference will be used by default.\n\n When the `initial` GET parameter is present, a sorted list of\n the result set ids will be returned too.\n \"\"\"\n pootle_path = request.GET.get('path', None)\n if pootle_path is None:\n raise Http400(_('Arguments missing.'))\n elif len(pootle_path) > 2048:\n raise Http400(_('Path too long.'))\n\n User = get_user_model()\n request.profile = User.get(request.user)\n limit = request.profile.get_unit_rows()\n vfolder = None\n\n if 'virtualfolder' in settings.INSTALLED_APPS:\n from virtualfolder.helpers import extract_vfolder_from_path\n\n vfolder, pootle_path = extract_vfolder_from_path(pootle_path)\n\n path_keys = [\n \"project_code\", \"language_code\", \"dir_path\", \"filename\"]\n try:\n path_kwargs = {\n k: v\n for k, v in resolve(pootle_path).kwargs.items()\n if k in path_keys}\n except Resolver404:\n raise Http404('Unrecognised path')\n\n units_qs = Unit.objects.get_translatable(\n user=request.profile,\n **path_kwargs)\n units_qs = units_qs.order_by(\"store\", \"index\")\n\n if vfolder is not None:\n units_qs = units_qs.filter(vfolders=vfolder)\n\n units_qs = units_qs.select_related(\n 'store__translation_project__project',\n 'store__translation_project__language',\n )\n step_queryset = get_step_query(request, units_qs)\n\n is_initial_request = request.GET.get('initial', False)\n chunk_size = request.GET.get('count', limit)\n uids_param = filter(None, request.GET.get('uids', '').split(u','))\n uids = filter(None, map(to_int, uids_param))\n\n units = []\n unit_groups = []\n uid_list = []\n\n if is_initial_request:\n sort_by_field = None\n if len(step_queryset.query.order_by) == 1:\n sort_by_field = step_queryset.query.order_by[0]\n\n sort_on = None\n for key, item in ALLOWED_SORTS.items():\n if sort_by_field in item.values():\n sort_on = key\n break\n\n if sort_by_field is None or sort_on == 'units':\n # Since `extra()` has been used before, it's necessary to\n # explicitly request the `store__pootle_path` field. This is a\n # subtetly in Django's ORM.\n uid_list = [u['id'] for u\n in step_queryset.values('id', 'store__pootle_path')]\n else:\n # Not using `values_list()` here because it doesn't know about all\n # existing relations when `extra()` has been used before in the\n # queryset. This affects annotated names such as those ending in\n # `__max`, where Django thinks we're trying to lookup a field on a\n # relationship field. That's why `sort_by_field` alias for `__max`\n # is used here. This alias must be queried in\n # `values('sort_by_field', 'id')` with `id` otherwise\n # Django looks for `sort_by_field` field in the initial table.\n # https://code.djangoproject.com/ticket/19434\n uid_list = [u['id'] for u\n in step_queryset.values('id', 'sort_by_field',\n 'store__pootle_path')]\n\n if len(uids) == 1:\n try:\n uid = uids[0]\n index = uid_list.index(uid)\n begin = max(index - chunk_size, 0)\n end = min(index + chunk_size + 1, len(uid_list))\n uids = uid_list[begin:end]\n except ValueError:\n raise Http404 # `uid` not found in `uid_list`\n else:\n count = 2 * chunk_size\n uids = uid_list[:count]\n\n if not units and uids:\n units = step_queryset.filter(id__in=uids)\n\n units_by_path = groupby(units, lambda x: x.store.pootle_path)\n for pootle_path, units in units_by_path:\n unit_groups.append(_path_units_with_meta(pootle_path, units))\n\n response = {\n 'unitGroups': unit_groups,\n }\n if uid_list:\n response['uIds'] = uid_list\n\n return JsonResponse(response)\n\n\n@ajax_required\n@get_unit_context('view')\ndef get_more_context(request, unit):\n \"\"\"Retrieves more context units.\n\n :return: An object in JSON notation that contains the source and target\n texts for units that are in the context of unit ``uid``.\n \"\"\"\n store = request.store\n json = {}\n gap = int(request.GET.get('gap', 0))\n qty = int(request.GET.get('qty', 1))\n\n json[\"ctx\"] = _filter_ctx_units(store.units, unit, qty, gap)\n return JsonResponse(json)\n\n\n@never_cache\n@get_unit_context('view')\ndef timeline(request, unit):\n \"\"\"Returns a JSON-encoded string including the changes to the unit\n rendered in HTML.\n \"\"\"\n timeline = Submission.objects.filter(\n unit=unit,\n ).filter(\n Q(field__in=[\n SubmissionFields.TARGET, SubmissionFields.STATE,\n SubmissionFields.COMMENT, SubmissionFields.NONE\n ]) |\n Q(type__in=SubmissionTypes.SUGGESTION_TYPES)\n ).exclude(\n field=SubmissionFields.COMMENT,\n creation_time=unit.commented_on\n ).order_by(\"id\")\n timeline = timeline.select_related(\"submitter\",\n \"translation_project__language\")\n\n User = get_user_model()\n entries_group = []\n context = {}\n\n # Group by submitter id and creation_time because\n # different submissions can have same creation time\n for key, values in \\\n groupby(timeline,\n key=lambda x: \"%d\\001%s\" % (x.submitter.id, x.creation_time)):\n\n entry_group = {\n 'entries': [],\n }\n\n for item in values:\n # Only add creation_time information for the whole entry group once\n entry_group['datetime'] = item.creation_time\n\n # Only add submitter information for the whole entry group once\n entry_group.setdefault('submitter', item.submitter)\n\n context.setdefault('language', item.translation_project.language)\n\n entry = {\n 'field': item.field,\n 'field_name': SubmissionFields.NAMES_MAP.get(item.field, None),\n 'type': item.type,\n }\n\n if item.field == SubmissionFields.STATE:\n entry['old_value'] = STATES_MAP[int(to_python(item.old_value))]\n entry['new_value'] = STATES_MAP[int(to_python(item.new_value))]\n elif item.suggestion:\n entry.update({\n 'suggestion_text': item.suggestion.target,\n 'suggestion_description':\n mark_safe(item.get_suggestion_description()),\n })\n elif item.quality_check:\n check_name = item.quality_check.name\n entry.update({\n 'check_name': check_name,\n 'check_display_name': check_names[check_name],\n 'checks_url': u''.join([\n reverse('pootle-checks-descriptions'), '#', check_name,\n ]),\n })\n else:\n entry['new_value'] = to_python(item.new_value)\n\n entry_group['entries'].append(entry)\n\n entries_group.append(entry_group)\n\n if (len(entries_group) > 0 and\n entries_group[0]['datetime'] == unit.creation_time):\n entries_group[0]['created'] = True\n else:\n created = {\n 'created': True,\n 'submitter': User.objects.get_system_user(),\n }\n\n if unit.creation_time:\n created['datetime'] = unit.creation_time\n entries_group[:0] = [created]\n\n # Let's reverse the chronological order\n entries_group.reverse()\n\n context['entries_group'] = entries_group\n\n # The client will want to confirm that the response is relevant for\n # the unit on screen at the time of receiving this, so we add the uid.\n json = {'uid': unit.id}\n\n t = loader.get_template('editor/units/xhr_timeline.html')\n c = RequestContext(request, context)\n json['timeline'] = t.render(c).replace('\\n', '')\n\n return JsonResponse(json)\n\n\n@ajax_required\n@require_http_methods(['POST', 'DELETE'])\n@get_unit_context('translate')\ndef comment(request, unit):\n \"\"\"Dispatches the comment action according to the HTTP verb.\"\"\"\n if request.method == 'DELETE':\n return delete_comment(request, unit)\n elif request.method == 'POST':\n return save_comment(request, unit)\n\n\ndef delete_comment(request, unit):\n \"\"\"Deletes a comment by blanking its contents and records a new\n submission.\n \"\"\"\n unit.commented_by = None\n unit.commented_on = None\n\n language = request.translation_project.language\n comment_form_class = unit_comment_form_factory(language)\n form = comment_form_class({}, instance=unit, request=request)\n\n if form.is_valid():\n form.save()\n return JsonResponse({})\n\n return JsonResponseBadRequest({'msg': _(\"Failed to remove comment.\")})\n\n\ndef save_comment(request, unit):\n \"\"\"Stores a new comment for the given ``unit``.\n\n :return: If the form validates, the cleaned comment is returned.\n An error message is returned otherwise.\n \"\"\"\n # Update current unit instance's attributes\n unit.commented_by = request.profile\n unit.commented_on = timezone.now().replace(microsecond=0)\n\n language = request.translation_project.language\n form = unit_comment_form_factory(language)(request.POST, instance=unit,\n request=request)\n\n if form.is_valid():\n form.save()\n\n user = request.user\n directory = unit.store.parent\n\n ctx = {\n 'unit': unit,\n 'language': language,\n 'cantranslate': check_user_permission(user, 'translate',\n directory),\n 'cansuggest': check_user_permission(user, 'suggest', directory),\n }\n t = loader.get_template('editor/units/xhr_comment.html')\n c = RequestContext(request, ctx)\n\n return JsonResponse({'comment': t.render(c)})\n\n return JsonResponseBadRequest({'msg': _(\"Comment submission failed.\")})\n\n\n@never_cache\n@ajax_required\n@get_unit_context('view')\ndef get_edit_unit(request, unit):\n \"\"\"Given a store path ``pootle_path`` and unit id ``uid``, gathers all the\n necessary information to build the editing widget.\n\n :return: A templatised editing widget is returned within the ``editor``\n variable and paging information is also returned if the page\n number has changed.\n \"\"\"\n json = {}\n\n translation_project = request.translation_project\n language = translation_project.language\n\n if unit.hasplural():\n snplurals = len(unit.source.strings)\n else:\n snplurals = None\n\n form_class = unit_form_factory(language, snplurals, request)\n form = form_class(instance=unit, request=request)\n comment_form_class = unit_comment_form_factory(language)\n comment_form = comment_form_class({}, instance=unit, request=request)\n\n store = unit.store\n directory = store.parent\n user = request.profile\n project = translation_project.project\n\n alt_src_langs = get_alt_src_langs(request, user, translation_project)\n altsrcs = find_altsrcs(unit, alt_src_langs, store=store, project=project)\n source_language = translation_project.project.source_language\n sources = {\n unit.store.translation_project.language.code: unit.target_f.strings\n for unit in altsrcs\n }\n sources[source_language.code] = unit.source_f.strings\n\n priority = None\n\n if 'virtualfolder' in settings.INSTALLED_APPS:\n vfolder_pk = request.GET.get('vfolder', '')\n\n if vfolder_pk:\n from virtualfolder.models import VirtualFolder\n\n try:\n # If we are translating a virtual folder, then display its\n # priority.\n # Note that the passed virtual folder pk might be invalid.\n priority = VirtualFolder.objects.get(pk=vfolder_pk).priority\n except VirtualFolder.DoesNotExist:\n pass\n\n if priority is None:\n # Retrieve the unit top priority, if any. This can happen if we are\n # not in a virtual folder or if the passed virtual folder pk is\n # invalid.\n priority = unit.vfolders.aggregate(\n priority=Max('priority')\n )['priority']\n\n template_vars = {\n 'unit': unit,\n 'form': form,\n 'comment_form': comment_form,\n 'priority': priority,\n 'store': store,\n 'directory': directory,\n 'profile': user,\n 'user': request.user,\n 'project': project,\n 'language': language,\n 'source_language': source_language,\n 'cantranslate': check_user_permission(user, \"translate\", directory),\n 'cansuggest': check_user_permission(user, \"suggest\", directory),\n 'canreview': check_user_permission(user, \"review\", directory),\n 'is_admin': check_user_permission(user, 'administrate', directory),\n 'altsrcs': altsrcs,\n }\n\n if translation_project.project.is_terminology or store.is_terminology:\n t = loader.get_template('editor/units/term_edit.html')\n else:\n t = loader.get_template('editor/units/edit.html')\n c = RequestContext(request, template_vars)\n\n json.update({\n 'editor': t.render(c),\n 'tm_suggestions': unit.get_tm_suggestions(),\n 'is_obsolete': unit.isobsolete(),\n 'sources': sources,\n })\n\n return JsonResponse(json)\n\n\n@get_unit_context('view')\ndef permalink_redirect(request, unit):\n return redirect(request.build_absolute_uri(unit.get_translate_url()))\n\n\n@ajax_required\n@get_path_obj\n@permission_required('view')\n@get_resource\ndef get_qualitycheck_stats(request, *args, **kwargs):\n failing_checks = request.resource_obj.get_checks()\n return JsonResponse(failing_checks if failing_checks is not None else {})\n\n\n@ajax_required\n@get_path_obj\n@permission_required('view')\n@get_resource\ndef get_stats(request, *args, **kwargs):\n stats = request.resource_obj.get_stats()\n\n if (isinstance(request.resource_obj, Directory) and\n 'virtualfolder' in settings.INSTALLED_APPS):\n stats['vfolders'] = {}\n\n for vfolder_treeitem in request.resource_obj.vf_treeitems.iterator():\n if request.user.is_superuser or vfolder_treeitem.is_visible:\n stats['vfolders'][vfolder_treeitem.code] = \\\n vfolder_treeitem.get_stats(include_children=False)\n\n return JsonResponse(stats)\n\n\n@ajax_required\n@get_unit_context('translate')\ndef submit(request, unit):\n \"\"\"Processes translation submissions and stores them in the database.\n\n :return: An object in JSON notation that contains the previous and last\n units for the unit next to unit ``uid``.\n \"\"\"\n json = {}\n\n translation_project = request.translation_project\n language = translation_project.language\n\n if unit.hasplural():\n snplurals = len(unit.source.strings)\n else:\n snplurals = None\n\n # Store current time so that it is the same for all submissions\n current_time = timezone.now()\n\n form_class = unit_form_factory(language, snplurals, request)\n form = form_class(request.POST, instance=unit, request=request)\n\n if form.is_valid():\n if form.updated_fields:\n for field, old_value, new_value in form.updated_fields:\n sub = Submission(\n creation_time=current_time,\n translation_project=translation_project,\n submitter=request.profile,\n unit=unit,\n store=unit.store,\n field=field,\n type=SubmissionTypes.NORMAL,\n old_value=old_value,\n new_value=new_value,\n similarity=form.cleaned_data['similarity'],\n mt_similarity=form.cleaned_data['mt_similarity'],\n )\n sub.save()\n\n # Update current unit instance's attributes\n # important to set these attributes after saving Submission\n # because we need to access the unit's state before it was saved\n if SubmissionFields.TARGET in (f[0] for f in form.updated_fields):\n form.instance.submitted_by = request.profile\n form.instance.submitted_on = current_time\n form.instance.reviewed_by = None\n form.instance.reviewed_on = None\n\n form.instance._log_user = request.profile\n\n form.save()\n\n json['checks'] = _get_critical_checks_snippet(request, unit)\n\n json['user_score'] = request.profile.public_score\n\n return JsonResponse(json)\n\n return JsonResponseBadRequest({'msg': _(\"Failed to process submission.\")})\n\n\n@ajax_required\n@get_unit_context('suggest')\ndef suggest(request, unit):\n \"\"\"Processes translation suggestions and stores them in the database.\n\n :return: An object in JSON notation that contains the previous and last\n units for the unit next to unit ``uid``.\n \"\"\"\n json = {}\n\n translation_project = request.translation_project\n language = translation_project.language\n\n if unit.hasplural():\n snplurals = len(unit.source.strings)\n else:\n snplurals = None\n\n form_class = unit_form_factory(language, snplurals, request)\n form = form_class(request.POST, instance=unit, request=request)\n\n if form.is_valid():\n if form.instance._target_updated:\n # TODO: Review if this hackish method is still necessary\n # HACKISH: django 1.2 stupidly modifies instance on model form\n # validation, reload unit from db\n unit = Unit.objects.get(id=unit.id)\n unit.add_suggestion(\n form.cleaned_data['target_f'],\n user=request.profile,\n similarity=form.cleaned_data['similarity'],\n mt_similarity=form.cleaned_data['mt_similarity'],\n )\n\n json['user_score'] = request.profile.public_score\n\n return JsonResponse(json)\n\n return JsonResponseBadRequest({'msg': _(\"Failed to process suggestion.\")})\n\n\n@ajax_required\n@require_http_methods(['POST', 'DELETE'])\ndef manage_suggestion(request, uid, sugg_id):\n \"\"\"Dispatches the suggestion action according to the HTTP verb.\"\"\"\n if request.method == 'DELETE':\n return reject_suggestion(request, uid, sugg_id)\n elif request.method == 'POST':\n return accept_suggestion(request, uid, sugg_id)\n\n\n@get_unit_context()\ndef reject_suggestion(request, unit, suggid):\n json = {\n 'udbid': unit.id,\n 'sugid': suggid,\n }\n\n try:\n sugg = unit.suggestion_set.get(id=suggid)\n except ObjectDoesNotExist:\n raise Http404\n\n # In order to be able to reject a suggestion, users have to either:\n # 1. Have `review` rights, or\n # 2. Be the author of the suggestion being rejected\n if (not check_permission('review', request) and\n (request.user.is_anonymous() or request.user != sugg.user)):\n raise PermissionDenied(_('Insufficient rights to access review mode.'))\n\n unit.reject_suggestion(sugg, request.translation_project,\n request.profile)\n\n json['user_score'] = request.profile.public_score\n\n return JsonResponse(json)\n\n\n@get_unit_context('review')\ndef accept_suggestion(request, unit, suggid):\n json = {\n 'udbid': unit.id,\n 'sugid': suggid,\n }\n\n try:\n suggestion = unit.suggestion_set.get(id=suggid)\n except ObjectDoesNotExist:\n raise Http404\n\n unit.accept_suggestion(suggestion, request.translation_project,\n request.profile)\n\n json['user_score'] = request.profile.public_score\n json['newtargets'] = [highlight_whitespace(target)\n for target in unit.target.strings]\n json['newdiffs'] = {}\n for sugg in unit.get_suggestions():\n json['newdiffs'][sugg.id] = [highlight_diffs(unit.target.strings[i],\n target) for i, target in\n enumerate(sugg.target.strings)]\n\n json['checks'] = _get_critical_checks_snippet(request, unit)\n\n return JsonResponse(json)\n\n\n@ajax_required\n@get_unit_context('review')\ndef toggle_qualitycheck(request, unit, check_id):\n try:\n unit.toggle_qualitycheck(check_id, bool(request.POST.get('mute')),\n request.profile)\n except ObjectDoesNotExist:\n raise Http404\n\n return JsonResponse({})\n", "path": "pootle/apps/pootle_store/views.py" } ]
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright (C) Pootle contributors.\n#\n# This file is a part of the Pootle project. It is distributed under the GPL3\n# or later license. See the LICENSE file for a copy of the license and the\n# AUTHORS file for copyright and authorship information.\n\nfrom itertools import groupby\n\nfrom translate.lang import data\n\nfrom django.conf import settings\nfrom django.contrib.auth import get_user_model\nfrom django.core.exceptions import ObjectDoesNotExist, PermissionDenied\nfrom django.core.urlresolvers import resolve, reverse, Resolver404\nfrom django.db.models import Max, Q\nfrom django.http import Http404\nfrom django.shortcuts import redirect\nfrom django.template import RequestContext, loader\nfrom django.utils import timezone\nfrom django.utils.safestring import mark_safe\nfrom django.utils.translation import to_locale, ugettext as _\nfrom django.utils.translation.trans_real import parse_accept_lang_header\nfrom django.views.decorators.cache import never_cache\nfrom django.views.decorators.http import require_http_methods\n\nfrom pootle.core.dateparse import parse_datetime\nfrom pootle.core.decorators import (get_path_obj, get_resource,\n permission_required)\nfrom pootle.core.exceptions import Http400\nfrom pootle.core.http import JsonResponse, JsonResponseBadRequest\nfrom pootle_app.models.directory import Directory\nfrom pootle_app.models.permissions import (check_permission,\n check_user_permission)\nfrom pootle_misc.checks import check_names, get_category_id\nfrom pootle_misc.forms import make_search_form\nfrom pootle_misc.util import ajax_required, get_date_interval, to_int\nfrom pootle_statistics.models import (Submission, SubmissionFields,\n SubmissionTypes)\n\nfrom .decorators import get_unit_context\nfrom .fields import to_python\nfrom .forms import (highlight_whitespace, unit_comment_form_factory,\n unit_form_factory)\nfrom .models import SuggestionStates, Unit\nfrom .templatetags.store_tags import (highlight_diffs, pluralize_source,\n pluralize_target)\nfrom .util import FUZZY, STATES_MAP, TRANSLATED, UNTRANSLATED, find_altsrcs\n\n\n#: Mapping of allowed sorting criteria.\n#: Keys are supported query strings, values are the field + order that\n#: will be used against the DB.\nALLOWED_SORTS = {\n 'units': {\n 'priority': '-priority',\n 'oldest': 'submitted_on',\n 'newest': '-submitted_on',\n },\n 'suggestions': {\n 'oldest': 'suggestion__creation_time',\n 'newest': '-suggestion__creation_time',\n },\n 'submissions': {\n 'oldest': 'submission__creation_time',\n 'newest': '-submission__creation_time',\n },\n}\n\n\n#: List of fields from `ALLOWED_SORTS` that can be sorted by simply using\n#: `order_by(field)`\nSIMPLY_SORTED = ['units']\n\n\ndef get_alt_src_langs(request, user, translation_project):\n language = translation_project.language\n project = translation_project.project\n source_language = project.source_language\n\n langs = user.alt_src_langs.exclude(\n id__in=(language.id, source_language.id)\n ).filter(translationproject__project=project)\n\n if not user.alt_src_langs.count():\n from pootle_language.models import Language\n accept = request.META.get('HTTP_ACCEPT_LANGUAGE', '')\n\n for accept_lang, unused in parse_accept_lang_header(accept):\n if accept_lang == '*':\n continue\n\n simplified = data.simplify_to_common(accept_lang)\n normalized = to_locale(data.normalize_code(simplified))\n code = to_locale(accept_lang)\n if (normalized in\n ('en', 'en_US', source_language.code, language.code) or\n code in ('en', 'en_US', source_language.code, language.code)):\n continue\n\n langs = Language.objects.filter(\n code__in=(normalized, code),\n translationproject__project=project,\n )\n if langs.count():\n break\n\n return langs\n\n\ndef get_search_query(form, units_queryset):\n words = form.cleaned_data['search'].split()\n result = units_queryset.none()\n\n if 'source' in form.cleaned_data['sfields']:\n subresult = units_queryset\n for word in words:\n subresult = subresult.filter(source_f__icontains=word)\n result = result | subresult\n\n if 'target' in form.cleaned_data['sfields']:\n subresult = units_queryset\n for word in words:\n subresult = subresult.filter(target_f__icontains=word)\n result = result | subresult\n\n if 'notes' in form.cleaned_data['sfields']:\n translator_subresult = units_queryset\n developer_subresult = units_queryset\n for word in words:\n translator_subresult = translator_subresult.filter(\n translator_comment__icontains=word,\n )\n developer_subresult = developer_subresult.filter(\n developer_comment__icontains=word,\n )\n result = result | translator_subresult | developer_subresult\n\n if 'locations' in form.cleaned_data['sfields']:\n subresult = units_queryset\n for word in words:\n subresult = subresult.filter(locations__icontains=word)\n result = result | subresult\n\n return result\n\n\ndef get_search_exact_query(form, units_queryset):\n phrase = form.cleaned_data['search']\n result = units_queryset.none()\n\n if 'source' in form.cleaned_data['sfields']:\n subresult = units_queryset.filter(source_f__contains=phrase)\n result = result | subresult\n\n if 'target' in form.cleaned_data['sfields']:\n subresult = units_queryset.filter(target_f__contains=phrase)\n result = result | subresult\n\n if 'notes' in form.cleaned_data['sfields']:\n translator_subresult = units_queryset\n developer_subresult = units_queryset\n translator_subresult = translator_subresult.filter(\n translator_comment__contains=phrase,\n )\n developer_subresult = developer_subresult.filter(\n developer_comment__contains=phrase,\n )\n result = result | translator_subresult | developer_subresult\n\n if 'locations' in form.cleaned_data['sfields']:\n subresult = units_queryset.filter(locations__contains=phrase)\n result = result | subresult\n\n return result\n\n\ndef get_search_step_query(form, units_queryset):\n \"\"\"Narrows down units query to units matching search string.\"\"\"\n if 'exact' in form.cleaned_data['soptions']:\n return get_search_exact_query(form, units_queryset)\n\n return get_search_query(form, units_queryset)\n\n\ndef get_step_query(request, units_queryset):\n \"\"\"Narrows down unit query to units matching conditions in GET.\"\"\"\n if 'filter' in request.GET:\n unit_filter = request.GET['filter']\n username = request.GET.get('user', None)\n modified_since = request.GET.get('modified-since', None)\n month = request.GET.get('month', None)\n sort_by_param = request.GET.get('sort', None)\n sort_on = 'units'\n\n user = request.profile\n if username is not None:\n User = get_user_model()\n try:\n user = User.objects.get(username=username)\n except User.DoesNotExist:\n pass\n\n if unit_filter:\n match_queryset = units_queryset.none()\n\n if unit_filter == 'all':\n match_queryset = units_queryset\n elif unit_filter == 'translated':\n match_queryset = units_queryset.filter(state=TRANSLATED)\n elif unit_filter == 'untranslated':\n match_queryset = units_queryset.filter(state=UNTRANSLATED)\n elif unit_filter == 'fuzzy':\n match_queryset = units_queryset.filter(state=FUZZY)\n elif unit_filter == 'incomplete':\n match_queryset = units_queryset.filter(\n Q(state=UNTRANSLATED) | Q(state=FUZZY),\n )\n elif unit_filter == 'suggestions':\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.PENDING).distinct()\n elif unit_filter in ('my-suggestions', 'user-suggestions'):\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.PENDING,\n suggestion__user=user,\n ).distinct()\n sort_on = 'suggestions'\n elif unit_filter == 'user-suggestions-accepted':\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.ACCEPTED,\n suggestion__user=user,\n ).distinct()\n elif unit_filter == 'user-suggestions-rejected':\n match_queryset = units_queryset.filter(\n suggestion__state=SuggestionStates.REJECTED,\n suggestion__user=user,\n ).distinct()\n elif unit_filter in ('my-submissions', 'user-submissions'):\n match_queryset = units_queryset.filter(\n submission__submitter=user,\n submission__type__in=SubmissionTypes.EDIT_TYPES,\n ).distinct()\n sort_on = 'submissions'\n elif (unit_filter in ('my-submissions-overwritten',\n 'user-submissions-overwritten')):\n match_queryset = units_queryset.filter(\n submission__submitter=user,\n submission__type__in=SubmissionTypes.EDIT_TYPES,\n ).exclude(submitted_by=user).distinct()\n elif unit_filter == 'checks':\n if 'checks' in request.GET:\n checks = request.GET['checks'].split(',')\n\n if checks:\n match_queryset = units_queryset.filter(\n qualitycheck__false_positive=False,\n qualitycheck__name__in=checks,\n ).distinct()\n elif 'category' in request.GET:\n category_name = request.GET['category']\n try:\n category = get_category_id(category_name)\n except KeyError:\n raise Http404\n\n match_queryset = units_queryset.filter(\n qualitycheck__false_positive=False,\n qualitycheck__category=category,\n ).distinct()\n\n if modified_since is not None:\n datetime_obj = parse_datetime(modified_since)\n if datetime_obj is not None:\n match_queryset = match_queryset.filter(\n submitted_on__gt=datetime_obj,\n ).distinct()\n\n if month is not None:\n [start, end] = get_date_interval(month)\n match_queryset = match_queryset.filter(\n submitted_on__gte=start,\n submitted_on__lte=end,\n ).distinct()\n\n sort_by = ALLOWED_SORTS[sort_on].get(sort_by_param, None)\n if sort_by is not None:\n if sort_on in SIMPLY_SORTED:\n match_queryset = match_queryset.order_by(sort_by)\n else:\n # Omit leading `-` sign\n if sort_by[0] == '-':\n max_field = sort_by[1:]\n sort_order = '-sort_by_field'\n else:\n max_field = sort_by\n sort_order = 'sort_by_field'\n\n # It's necessary to use `Max()` here because we can't\n # use `distinct()` and `order_by()` at the same time\n # (unless PostreSQL is used and `distinct(field_name)`)\n match_queryset = match_queryset \\\n .annotate(sort_by_field=Max(max_field)) \\\n .order_by(sort_order)\n\n units_queryset = match_queryset\n\n if 'search' in request.GET and 'sfields' in request.GET:\n # Accept `sfields` to be a comma-separated string of fields (#46)\n GET = request.GET.copy()\n sfields = GET['sfields']\n if isinstance(sfields, unicode) and u',' in sfields:\n GET.setlist('sfields', sfields.split(u','))\n\n # use the search form for validation only\n search_form = make_search_form(GET)\n\n if search_form.is_valid():\n units_queryset = get_search_step_query(search_form, units_queryset)\n\n return units_queryset\n\n\n#\n# Views used with XMLHttpRequest requests.\n#\n\ndef _filter_ctx_units(units_qs, unit, how_many, gap=0):\n \"\"\"Returns ``how_many``*2 units that are before and after ``index``.\"\"\"\n result = {'before': [], 'after': []}\n\n if how_many and unit.index - gap > 0:\n before = units_qs.filter(store=unit.store_id, index__lt=unit.index) \\\n .order_by('-index')[gap:how_many+gap]\n result['before'] = _build_units_list(before, reverse=True)\n result['before'].reverse()\n\n # FIXME: can we avoid this query if length is known?\n if how_many:\n after = units_qs.filter(store=unit.store_id,\n index__gt=unit.index)[gap:how_many+gap]\n result['after'] = _build_units_list(after)\n\n return result\n\n\ndef _prepare_unit(unit):\n \"\"\"Constructs a dictionary with relevant `unit` data.\"\"\"\n return {\n 'id': unit.id,\n 'url': unit.get_translate_url(),\n 'isfuzzy': unit.isfuzzy(),\n 'source': [source[1] for source in pluralize_source(unit)],\n 'target': [target[1] for target in pluralize_target(unit)],\n }\n\n\ndef _path_units_with_meta(path, units):\n \"\"\"Constructs a dictionary which contains a list of `units`\n corresponding to `path` as well as its metadata.\n \"\"\"\n meta = None\n units_list = []\n\n for unit in iter(units):\n if meta is None:\n # XXX: Watch out for the query count\n store = unit.store\n tp = store.translation_project\n project = tp.project\n meta = {\n 'source_lang': project.source_language.code,\n 'source_dir': project.source_language.direction,\n 'target_lang': tp.language.code,\n 'target_dir': tp.language.direction,\n 'project_code': project.code,\n 'project_style': project.checkstyle,\n }\n\n units_list.append(_prepare_unit(unit))\n\n return {\n path: {\n 'meta': meta,\n 'units': units_list,\n },\n }\n\n\ndef _build_units_list(units, reverse=False):\n \"\"\"Given a list/queryset of units, builds a list with the unit data\n contained in a dictionary ready to be returned as JSON.\n\n :return: A list with unit id, source, and target texts. In case of\n having plural forms, a title for the plural form is also provided.\n \"\"\"\n return_units = []\n\n for unit in iter(units):\n return_units.append(_prepare_unit(unit))\n\n return return_units\n\n\ndef _get_critical_checks_snippet(request, unit):\n \"\"\"Retrieves the critical checks snippet.\n\n :param request: an `HttpRequest` object\n :param unit: a `Unit` instance for which critical checks need to be\n rendered.\n :return: rendered HTML snippet with the failing checks, or `None` if\n there are no critical failing checks.\n \"\"\"\n if not unit.has_critical_checks():\n return None\n\n can_review = check_user_permission(request.profile, 'review',\n unit.store.parent)\n ctx = {\n 'canreview': can_review,\n 'unit': unit,\n }\n template = loader.get_template('editor/units/xhr_checks.html')\n return template.render(RequestContext(request, ctx))\n\n\n@ajax_required\ndef get_units(request):\n \"\"\"Gets source and target texts and its metadata.\n\n :return: A JSON-encoded string containing the source and target texts\n grouped by the store they belong to.\n\n The optional `count` GET parameter defines the chunk size to\n consider. The user's preference will be used by default.\n\n When the `initial` GET parameter is present, a sorted list of\n the result set ids will be returned too.\n \"\"\"\n pootle_path = request.GET.get('path', None)\n if pootle_path is None:\n raise Http400(_('Arguments missing.'))\n elif len(pootle_path) > 2048:\n raise Http400(_('Path too long.'))\n\n User = get_user_model()\n request.profile = User.get(request.user)\n limit = request.profile.get_unit_rows()\n vfolder = None\n\n if 'virtualfolder' in settings.INSTALLED_APPS:\n from virtualfolder.helpers import extract_vfolder_from_path\n\n vfolder, pootle_path = extract_vfolder_from_path(pootle_path)\n\n path_keys = [\n \"project_code\", \"language_code\", \"dir_path\", \"filename\"]\n try:\n path_kwargs = {\n k: v\n for k, v in resolve(pootle_path).kwargs.items()\n if k in path_keys}\n except Resolver404:\n raise Http404('Unrecognised path')\n\n units_qs = Unit.objects.get_translatable(\n user=request.profile,\n **path_kwargs)\n units_qs = units_qs.order_by(\"store\", \"index\")\n\n if vfolder is not None:\n units_qs = units_qs.filter(vfolders=vfolder)\n\n units_qs = units_qs.select_related(\n 'store__translation_project__project',\n 'store__translation_project__language',\n )\n step_queryset = get_step_query(request, units_qs)\n\n is_initial_request = request.GET.get('initial', False)\n chunk_size = request.GET.get('count', limit)\n uids_param = filter(None, request.GET.get('uids', '').split(u','))\n uids = filter(None, map(to_int, uids_param))\n\n units = []\n unit_groups = []\n uid_list = []\n\n if is_initial_request:\n sort_by_field = None\n if len(step_queryset.query.order_by) == 1:\n sort_by_field = step_queryset.query.order_by[0]\n\n sort_on = None\n for key, item in ALLOWED_SORTS.items():\n if sort_by_field in item.values():\n sort_on = key\n break\n\n if sort_by_field is None or sort_on == 'units':\n # Since `extra()` has been used before, it's necessary to\n # explicitly request the `store__pootle_path` field. This is a\n # subtetly in Django's ORM.\n uid_list = [u['id'] for u\n in step_queryset.values('id', 'store__pootle_path')]\n else:\n # Not using `values_list()` here because it doesn't know about all\n # existing relations when `extra()` has been used before in the\n # queryset. This affects annotated names such as those ending in\n # `__max`, where Django thinks we're trying to lookup a field on a\n # relationship field. That's why `sort_by_field` alias for `__max`\n # is used here. This alias must be queried in\n # `values('sort_by_field', 'id')` with `id` otherwise\n # Django looks for `sort_by_field` field in the initial table.\n # https://code.djangoproject.com/ticket/19434\n uid_list = [u['id'] for u\n in step_queryset.values('id', 'sort_by_field',\n 'store__pootle_path')]\n\n if len(uids) == 1:\n try:\n uid = uids[0]\n index = uid_list.index(uid)\n begin = max(index - chunk_size, 0)\n end = min(index + chunk_size + 1, len(uid_list))\n uids = uid_list[begin:end]\n except ValueError:\n raise Http404 # `uid` not found in `uid_list`\n else:\n count = 2 * chunk_size\n uids = uid_list[:count]\n\n if not units and uids:\n units = step_queryset.filter(id__in=uids)\n\n units_by_path = groupby(units, lambda x: x.store.pootle_path)\n for pootle_path, units in units_by_path:\n unit_groups.append(_path_units_with_meta(pootle_path, units))\n\n response = {\n 'unitGroups': unit_groups,\n }\n if uid_list:\n response['uIds'] = uid_list\n\n return JsonResponse(response)\n\n\n@ajax_required\n@get_unit_context('view')\ndef get_more_context(request, unit):\n \"\"\"Retrieves more context units.\n\n :return: An object in JSON notation that contains the source and target\n texts for units that are in the context of unit ``uid``.\n \"\"\"\n store = request.store\n json = {}\n gap = int(request.GET.get('gap', 0))\n qty = int(request.GET.get('qty', 1))\n\n json[\"ctx\"] = _filter_ctx_units(store.units, unit, qty, gap)\n return JsonResponse(json)\n\n\n@never_cache\n@get_unit_context('view')\ndef timeline(request, unit):\n \"\"\"Returns a JSON-encoded string including the changes to the unit\n rendered in HTML.\n \"\"\"\n timeline = Submission.objects.filter(\n unit=unit,\n ).filter(\n Q(field__in=[\n SubmissionFields.TARGET, SubmissionFields.STATE,\n SubmissionFields.COMMENT, SubmissionFields.NONE\n ]) |\n Q(type__in=SubmissionTypes.SUGGESTION_TYPES)\n ).exclude(\n field=SubmissionFields.COMMENT,\n creation_time=unit.commented_on\n ).order_by(\"id\")\n timeline = timeline.select_related(\"submitter\",\n \"translation_project__language\")\n\n User = get_user_model()\n entries_group = []\n context = {}\n\n # Group by submitter id and creation_time because\n # different submissions can have same creation time\n for key, values in \\\n groupby(timeline,\n key=lambda x: \"%d\\001%s\" % (x.submitter.id, x.creation_time)):\n\n entry_group = {\n 'entries': [],\n }\n\n for item in values:\n # Only add creation_time information for the whole entry group once\n entry_group['datetime'] = item.creation_time\n\n # Only add submitter information for the whole entry group once\n entry_group.setdefault('submitter', item.submitter)\n\n context.setdefault('language', item.translation_project.language)\n\n entry = {\n 'field': item.field,\n 'field_name': SubmissionFields.NAMES_MAP.get(item.field, None),\n 'type': item.type,\n }\n\n if item.field == SubmissionFields.STATE:\n entry['old_value'] = STATES_MAP[int(to_python(item.old_value))]\n entry['new_value'] = STATES_MAP[int(to_python(item.new_value))]\n elif item.suggestion:\n entry.update({\n 'suggestion_text': item.suggestion.target,\n 'suggestion_description':\n mark_safe(item.get_suggestion_description()),\n })\n elif item.quality_check:\n check_name = item.quality_check.name\n entry.update({\n 'check_name': check_name,\n 'check_display_name': check_names[check_name],\n 'checks_url': u''.join([\n reverse('pootle-checks-descriptions'), '#', check_name,\n ]),\n })\n else:\n entry['new_value'] = to_python(item.new_value)\n\n entry_group['entries'].append(entry)\n\n entries_group.append(entry_group)\n\n if (len(entries_group) > 0 and\n entries_group[0]['datetime'] == unit.creation_time):\n entries_group[0]['created'] = True\n else:\n created = {\n 'created': True,\n 'submitter': User.objects.get_system_user(),\n }\n\n if unit.creation_time:\n created['datetime'] = unit.creation_time\n entries_group[:0] = [created]\n\n # Let's reverse the chronological order\n entries_group.reverse()\n\n context['entries_group'] = entries_group\n\n # The client will want to confirm that the response is relevant for\n # the unit on screen at the time of receiving this, so we add the uid.\n json = {'uid': unit.id}\n\n t = loader.get_template('editor/units/xhr_timeline.html')\n c = RequestContext(request, context)\n json['timeline'] = t.render(c).replace('\\n', '')\n\n return JsonResponse(json)\n\n\n@ajax_required\n@require_http_methods(['POST', 'DELETE'])\n@get_unit_context('translate')\ndef comment(request, unit):\n \"\"\"Dispatches the comment action according to the HTTP verb.\"\"\"\n if request.method == 'DELETE':\n return delete_comment(request, unit)\n elif request.method == 'POST':\n return save_comment(request, unit)\n\n\ndef delete_comment(request, unit):\n \"\"\"Deletes a comment by blanking its contents and records a new\n submission.\n \"\"\"\n unit.commented_by = None\n unit.commented_on = None\n\n language = request.translation_project.language\n comment_form_class = unit_comment_form_factory(language)\n form = comment_form_class({}, instance=unit, request=request)\n\n if form.is_valid():\n form.save()\n return JsonResponse({})\n\n return JsonResponseBadRequest({'msg': _(\"Failed to remove comment.\")})\n\n\ndef save_comment(request, unit):\n \"\"\"Stores a new comment for the given ``unit``.\n\n :return: If the form validates, the cleaned comment is returned.\n An error message is returned otherwise.\n \"\"\"\n # Update current unit instance's attributes\n unit.commented_by = request.profile\n unit.commented_on = timezone.now().replace(microsecond=0)\n\n language = request.translation_project.language\n form = unit_comment_form_factory(language)(request.POST, instance=unit,\n request=request)\n\n if form.is_valid():\n form.save()\n\n user = request.user\n directory = unit.store.parent\n\n ctx = {\n 'unit': unit,\n 'language': language,\n 'cantranslate': check_user_permission(user, 'translate',\n directory),\n 'cansuggest': check_user_permission(user, 'suggest', directory),\n }\n t = loader.get_template('editor/units/xhr_comment.html')\n c = RequestContext(request, ctx)\n\n return JsonResponse({'comment': t.render(c)})\n\n return JsonResponseBadRequest({'msg': _(\"Comment submission failed.\")})\n\n\n@never_cache\n@ajax_required\n@get_unit_context('view')\ndef get_edit_unit(request, unit):\n \"\"\"Given a store path ``pootle_path`` and unit id ``uid``, gathers all the\n necessary information to build the editing widget.\n\n :return: A templatised editing widget is returned within the ``editor``\n variable and paging information is also returned if the page\n number has changed.\n \"\"\"\n json = {}\n\n translation_project = request.translation_project\n language = translation_project.language\n\n if unit.hasplural():\n snplurals = len(unit.source.strings)\n else:\n snplurals = None\n\n form_class = unit_form_factory(language, snplurals, request)\n form = form_class(instance=unit, request=request)\n comment_form_class = unit_comment_form_factory(language)\n comment_form = comment_form_class({}, instance=unit, request=request)\n\n store = unit.store\n directory = store.parent\n user = request.profile\n project = translation_project.project\n\n alt_src_langs = get_alt_src_langs(request, user, translation_project)\n altsrcs = find_altsrcs(unit, alt_src_langs, store=store, project=project)\n source_language = translation_project.project.source_language\n sources = {\n unit.store.translation_project.language.code: unit.target_f.strings\n for unit in altsrcs\n }\n sources[source_language.code] = unit.source_f.strings\n\n priority = None\n\n if 'virtualfolder' in settings.INSTALLED_APPS:\n vfolder_pk = request.GET.get('vfolder', '')\n\n if vfolder_pk:\n from virtualfolder.models import VirtualFolder\n\n try:\n # If we are translating a virtual folder, then display its\n # priority.\n # Note that the passed virtual folder pk might be invalid.\n priority = VirtualFolder.objects.get(pk=vfolder_pk).priority\n except VirtualFolder.DoesNotExist:\n pass\n\n if priority is None:\n # Retrieve the unit top priority, if any. This can happen if we are\n # not in a virtual folder or if the passed virtual folder pk is\n # invalid.\n priority = unit.vfolders.aggregate(\n priority=Max('priority')\n )['priority']\n\n template_vars = {\n 'unit': unit,\n 'form': form,\n 'comment_form': comment_form,\n 'priority': priority,\n 'store': store,\n 'directory': directory,\n 'profile': user,\n 'user': request.user,\n 'project': project,\n 'language': language,\n 'source_language': source_language,\n 'cantranslate': check_user_permission(user, \"translate\", directory),\n 'cansuggest': check_user_permission(user, \"suggest\", directory),\n 'canreview': check_user_permission(user, \"review\", directory),\n 'is_admin': check_user_permission(user, 'administrate', directory),\n 'altsrcs': altsrcs,\n }\n\n if translation_project.project.is_terminology or store.is_terminology:\n t = loader.get_template('editor/units/term_edit.html')\n else:\n t = loader.get_template('editor/units/edit.html')\n c = RequestContext(request, template_vars)\n\n json.update({\n 'editor': t.render(c),\n 'tm_suggestions': unit.get_tm_suggestions(),\n 'is_obsolete': unit.isobsolete(),\n 'sources': sources,\n })\n\n return JsonResponse(json)\n\n\n@get_unit_context('view')\ndef permalink_redirect(request, unit):\n return redirect(request.build_absolute_uri(unit.get_translate_url()))\n\n\n@ajax_required\n@get_path_obj\n@permission_required('view')\n@get_resource\ndef get_qualitycheck_stats(request, *args, **kwargs):\n failing_checks = request.resource_obj.get_checks()\n return JsonResponse(failing_checks if failing_checks is not None else {})\n\n\n@ajax_required\n@get_path_obj\n@permission_required('view')\n@get_resource\ndef get_stats(request, *args, **kwargs):\n stats = request.resource_obj.get_stats()\n\n if (isinstance(request.resource_obj, Directory) and\n 'virtualfolder' in settings.INSTALLED_APPS):\n stats['vfolders'] = {}\n\n for vfolder_treeitem in request.resource_obj.vf_treeitems.iterator():\n if request.user.is_superuser or vfolder_treeitem.is_visible:\n stats['vfolders'][vfolder_treeitem.code] = \\\n vfolder_treeitem.get_stats(include_children=False)\n\n return JsonResponse(stats)\n\n\n@ajax_required\n@get_unit_context('translate')\ndef submit(request, unit):\n \"\"\"Processes translation submissions and stores them in the database.\n\n :return: An object in JSON notation that contains the previous and last\n units for the unit next to unit ``uid``.\n \"\"\"\n json = {}\n\n translation_project = request.translation_project\n language = translation_project.language\n\n if unit.hasplural():\n snplurals = len(unit.source.strings)\n else:\n snplurals = None\n\n # Store current time so that it is the same for all submissions\n current_time = timezone.now()\n\n form_class = unit_form_factory(language, snplurals, request)\n form = form_class(request.POST, instance=unit, request=request)\n\n if form.is_valid():\n if form.updated_fields:\n for field, old_value, new_value in form.updated_fields:\n sub = Submission(\n creation_time=current_time,\n translation_project=translation_project,\n submitter=request.profile,\n unit=unit,\n store=unit.store,\n field=field,\n type=SubmissionTypes.NORMAL,\n old_value=old_value,\n new_value=new_value,\n similarity=form.cleaned_data['similarity'],\n mt_similarity=form.cleaned_data['mt_similarity'],\n )\n sub.save()\n\n # Update current unit instance's attributes\n # important to set these attributes after saving Submission\n # because we need to access the unit's state before it was saved\n if SubmissionFields.TARGET in (f[0] for f in form.updated_fields):\n form.instance.submitted_by = request.profile\n form.instance.submitted_on = current_time\n form.instance.reviewed_by = None\n form.instance.reviewed_on = None\n\n form.instance._log_user = request.profile\n\n form.save()\n\n json['checks'] = _get_critical_checks_snippet(request, unit)\n\n json['user_score'] = request.profile.public_score\n\n return JsonResponse(json)\n\n return JsonResponseBadRequest({'msg': _(\"Failed to process submission.\")})\n\n\n@ajax_required\n@get_unit_context('suggest')\ndef suggest(request, unit):\n \"\"\"Processes translation suggestions and stores them in the database.\n\n :return: An object in JSON notation that contains the previous and last\n units for the unit next to unit ``uid``.\n \"\"\"\n json = {}\n\n translation_project = request.translation_project\n language = translation_project.language\n\n if unit.hasplural():\n snplurals = len(unit.source.strings)\n else:\n snplurals = None\n\n form_class = unit_form_factory(language, snplurals, request)\n form = form_class(request.POST, instance=unit, request=request)\n\n if form.is_valid():\n if form.instance._target_updated:\n # TODO: Review if this hackish method is still necessary\n # HACKISH: django 1.2 stupidly modifies instance on model form\n # validation, reload unit from db\n unit = Unit.objects.get(id=unit.id)\n unit.add_suggestion(\n form.cleaned_data['target_f'],\n user=request.profile,\n similarity=form.cleaned_data['similarity'],\n mt_similarity=form.cleaned_data['mt_similarity'],\n )\n\n json['user_score'] = request.profile.public_score\n\n return JsonResponse(json)\n\n return JsonResponseBadRequest({'msg': _(\"Failed to process suggestion.\")})\n\n\n@ajax_required\n@require_http_methods(['POST', 'DELETE'])\ndef manage_suggestion(request, uid, sugg_id):\n \"\"\"Dispatches the suggestion action according to the HTTP verb.\"\"\"\n if request.method == 'DELETE':\n return reject_suggestion(request, uid, sugg_id)\n elif request.method == 'POST':\n return accept_suggestion(request, uid, sugg_id)\n\n\n@get_unit_context()\ndef reject_suggestion(request, unit, suggid):\n json = {\n 'udbid': unit.id,\n 'sugid': suggid,\n }\n\n try:\n sugg = unit.suggestion_set.get(id=suggid)\n except ObjectDoesNotExist:\n raise Http404\n\n # In order to be able to reject a suggestion, users have to either:\n # 1. Have `review` rights, or\n # 2. Be the author of the suggestion being rejected\n if (not check_permission('review', request) and\n (request.user.is_anonymous() or request.user != sugg.user)):\n raise PermissionDenied(_('Insufficient rights to access review mode.'))\n\n unit.reject_suggestion(sugg, request.translation_project,\n request.profile)\n\n json['user_score'] = request.profile.public_score\n\n return JsonResponse(json)\n\n\n@get_unit_context('review')\ndef accept_suggestion(request, unit, suggid):\n json = {\n 'udbid': unit.id,\n 'sugid': suggid,\n }\n\n try:\n suggestion = unit.suggestion_set.get(id=suggid)\n except ObjectDoesNotExist:\n raise Http404\n\n unit.accept_suggestion(suggestion, request.translation_project,\n request.profile)\n\n json['user_score'] = request.profile.public_score\n json['newtargets'] = [highlight_whitespace(target)\n for target in unit.target.strings]\n json['newdiffs'] = {}\n for sugg in unit.get_suggestions():\n json['newdiffs'][sugg.id] = [highlight_diffs(unit.target.strings[i],\n target) for i, target in\n enumerate(sugg.target.strings)]\n\n json['checks'] = _get_critical_checks_snippet(request, unit)\n\n return JsonResponse(json)\n\n\n@ajax_required\n@get_unit_context('review')\ndef toggle_qualitycheck(request, unit, check_id):\n try:\n unit.toggle_qualitycheck(check_id, bool(request.POST.get('mute')),\n request.profile)\n except ObjectDoesNotExist:\n raise Http404\n\n return JsonResponse({})\n", "path": "pootle/apps/pootle_store/views.py" } ]
diff --git a/pootle/apps/pootle_store/views.py b/pootle/apps/pootle_store/views.py index 491c17cd5fb..141fe6146a0 100644 --- a/pootle/apps/pootle_store/views.py +++ b/pootle/apps/pootle_store/views.py @@ -55,7 +55,7 @@ #: will be used against the DB. ALLOWED_SORTS = { 'units': { - 'priority': 'priority', + 'priority': '-priority', 'oldest': 'submitted_on', 'newest': '-submitted_on', },
Coalesce in get_units is creating bad sql Im seeing errors in get_units, regarding bad sql this is the dump of the sql in question, seems like theres a bracket missing - not sure how that has happened, but im figuring something to do with COALESCE ``` sql SELECT DISTINCT `pootle_store_unit`.`id`, `pootle_store_store`.`pootle_path`, ) FROM `pootle_store_unit` INNER JOIN `pootle_store_store` ON ( `pootle_store_unit`.`store_id` = `pootle_store_store`.`id` ) INNER JOIN `pootle_app_translationproject` ON ( `pootle_store_store`.`translation_project_id` = `pootle_app_translationproject`.`id` ) INNER JOIN `pootle_app_project` ON ( `pootle_app_translationproject`.`project_id` = `pootle_app_project`.`id` ) INNER JOIN `pootle_app_language` ON ( `pootle_app_translationproject`.`language_id` = `pootle_app_language`.`id` ) INNER JOIN `pootle_store_qualitycheck` ON ( `pootle_store_unit`.`id` = `pootle_store_qualitycheck`.`unit_id` ) WHERE (`pootle_store_unit`.`state` > -100 AND `pootle_app_project`.`disabled` = False AND `pootle_app_language`.`code` = ka AND `pootle_app_project`.`code` = firefox AND `pootle_store_store`.`pootle_path` LIKE BINARY /ka/firefox/toolkit/% AND `pootle_store_qualitycheck`.`category` = 100 AND `pootle_store_qualitycheck`.`false_positive` = False) ORDER BY ( SELECT COALESCE(MAX(virtualfolder_virtualfolder.priority), 1) FROM virtualfolder_virtualfolder INNER JOIN virtualfolder_virtualfolder_units ON virtualfolder_virtualfolder.id = virtualfolder_virtualfolder_units.virtualfolder_id WHERE virtualfolder_virtualfolder_units.unit_id = pootle_store_unit.id ) DESC LIMIT 21 ``` This will be fixed in the move to a search backend, but im thinking that as we no longer need to do this (vfolder.priority is denormalized) we should fix first
deis__deis-323
[ { "content": "\nfrom __future__ import unicode_literals\nimport importlib\n\nfrom celery import task\nfrom celery.canvas import group\n\nfrom deis import settings\nfrom provider import import_provider_module\n\n# import user-defined config management module\nCM = importlib.import_module(settings.CM_MODULE)\n\n\n@task\ndef build_layer(layer):\n provider = import_provider_module(layer.flavor.provider.type)\n provider.build_layer(layer.flat())\n\n\n@task\ndef destroy_layer(layer):\n provider = import_provider_module(layer.flavor.provider.type)\n provider.destroy_layer(layer.flat())\n layer.delete()\n\n\n@task\ndef build_node(node):\n provider = import_provider_module(node.layer.flavor.provider.type)\n provider_id, fqdn, metadata = provider.build_node(node.flat())\n node.provider_id = provider_id\n node.fqdn = fqdn\n node.metadata = metadata\n node.save()\n CM.bootstrap_node(node.flat())\n\n\n@task\ndef destroy_node(node):\n provider = import_provider_module(node.layer.flavor.provider.type)\n provider.destroy_node(node.flat())\n CM.purge_node(node.flat())\n node.delete()\n\n\n@task\ndef converge_node(node):\n output, rc = CM.converge_node(node.flat())\n return output, rc\n\n\n@task\ndef run_node(node, command):\n output, rc = CM.run_node(node.flat(), command)\n return output, rc\n\n\n@task\ndef build_formation(formation):\n return\n\n\n@task\ndef destroy_formation(formation):\n app_tasks = [destroy_app.si(a) for a in formation.app_set.all()]\n node_tasks = [destroy_node.si(n) for n in formation.node_set.all()]\n layer_tasks = [destroy_layer.si(l) for l in formation.layer_set.all()]\n group(app_tasks + node_tasks).apply_async().join()\n group(layer_tasks).apply_async().join()\n CM.purge_formation(formation.flat())\n formation.delete()\n\n\n@task\ndef converge_formation(formation):\n nodes = formation.node_set.all()\n subtasks = []\n for n in nodes:\n subtask = converge_node.si(n)\n subtasks.append(subtask)\n group(*subtasks).apply_async().join()\n\n\n@task\ndef build_app(app):\n return\n\n\n@task\ndef destroy_app(app):\n CM.purge_app(app.flat())\n app.delete()\n app.formation.publish()\n\n\n@task\ndef converge_controller():\n CM.converge_controller()\n return None\n", "path": "api/tasks.py" } ]
[ { "content": "\nfrom __future__ import unicode_literals\nimport importlib\n\nfrom celery import task\nfrom celery.canvas import group\n\nfrom deis import settings\nfrom provider import import_provider_module\n\n# import user-defined config management module\nCM = importlib.import_module(settings.CM_MODULE)\n\n\n@task\ndef build_layer(layer):\n provider = import_provider_module(layer.flavor.provider.type)\n provider.build_layer(layer.flat())\n\n\n@task\ndef destroy_layer(layer):\n provider = import_provider_module(layer.flavor.provider.type)\n provider.destroy_layer(layer.flat())\n layer.delete()\n\n\n@task\ndef build_node(node):\n provider = import_provider_module(node.layer.flavor.provider.type)\n provider_id, fqdn, metadata = provider.build_node(node.flat())\n node.provider_id = provider_id\n node.fqdn = fqdn\n node.metadata = metadata\n node.save()\n CM.bootstrap_node(node.flat())\n\n\n@task\ndef destroy_node(node):\n provider = import_provider_module(node.layer.flavor.provider.type)\n provider.destroy_node(node.flat())\n CM.purge_node(node.flat())\n node.delete()\n\n\n@task\ndef converge_node(node):\n output, rc = CM.converge_node(node.flat())\n return output, rc\n\n\n@task\ndef run_node(node, command):\n output, rc = CM.run_node(node.flat(), command)\n if rc != 0 and 'failed to setup the container' in output:\n output = '\\033[35mPlease run `git push deis master` first.\\033[0m\\n' + output\n return output, rc\n\n\n@task\ndef build_formation(formation):\n return\n\n\n@task\ndef destroy_formation(formation):\n app_tasks = [destroy_app.si(a) for a in formation.app_set.all()]\n node_tasks = [destroy_node.si(n) for n in formation.node_set.all()]\n layer_tasks = [destroy_layer.si(l) for l in formation.layer_set.all()]\n group(app_tasks + node_tasks).apply_async().join()\n group(layer_tasks).apply_async().join()\n CM.purge_formation(formation.flat())\n formation.delete()\n\n\n@task\ndef converge_formation(formation):\n nodes = formation.node_set.all()\n subtasks = []\n for n in nodes:\n subtask = converge_node.si(n)\n subtasks.append(subtask)\n group(*subtasks).apply_async().join()\n\n\n@task\ndef build_app(app):\n return\n\n\n@task\ndef destroy_app(app):\n CM.purge_app(app.flat())\n app.delete()\n app.formation.publish()\n\n\n@task\ndef converge_controller():\n CM.converge_controller()\n return None\n", "path": "api/tasks.py" } ]
diff --git a/api/tasks.py b/api/tasks.py index 0522909438..667c227502 100644 --- a/api/tasks.py +++ b/api/tasks.py @@ -53,6 +53,8 @@ def converge_node(node): @task def run_node(node, command): output, rc = CM.run_node(node.flat(), command) + if rc != 0 and 'failed to setup the container' in output: + output = '\033[35mPlease run `git push deis master` first.\033[0m\n' + output return output, rc
`deis run` generates ugly error if app code not yet pushed I ran `deis run ls -la` after I had created the app, but before I had pushed the code with `git push deis master`. Here is the error I received: ``` ben$ example-python-flask > deis run ls -la Warning: non-zero return code 255 lxc-start: No such file or directory - failed to mount '/opt/deis/runtime/slugs/hushed-sailfish-1/app' on '/usr/lib/lxc/root///app' lxc-start: failed to setup the mount entries for '5f4f4d932501338fa2062d52e5893dfbd3933fa09102c67493a169a2a87ee479' lxc-start: failed to setup the container lxc-start: invalid sequence number 1. expected 2 lxc-start: failed to spawn '5f4f4d932501338fa2062d52e5893dfbd3933fa09102c67493a169a2a87ee479' lxc-start: Device or resource busy - failed to remove cgroup '/sys/fs/cgroup/cpuset//lxc/5f4f4d932501338fa2062d52e5893dfbd3933fa09102c67493a169a2a87ee479' ```
Mailu__Mailu-2603
[ { "content": "from mailu import models\nfrom mailu.internal import internal\nfrom flask import current_app as app\n\nimport flask\nimport socket\nimport os\nimport sqlalchemy.exc\n\[email protected](\"/dovecot/passdb/<path:user_email>\")\ndef dovecot_passdb_dict(user_email):\n user = models.User.query.get(user_email) or flask.abort(404)\n allow_nets = []\n allow_nets.append(app.config[\"SUBNET\"])\n if app.config[\"SUBNET6\"]:\n allow_nets.append(app.config[\"SUBNET6\"])\n return flask.jsonify({\n \"password\": None,\n \"nopassword\": \"Y\",\n \"allow_nets\": \",\".join(allow_nets)\n })\n\[email protected](\"/dovecot/userdb/\")\ndef dovecot_userdb_dict_list():\n return flask.jsonify([\n user[0] for user in models.User.query.filter(models.User.enabled.is_(True)).with_entities(models.User.email).all()\n ])\n\[email protected](\"/dovecot/userdb/<path:user_email>\")\ndef dovecot_userdb_dict(user_email):\n try:\n quota = models.User.query.filter(models.User.email==user_email).with_entities(models.User.quota_bytes).one_or_none() or flask.abort(404)\n except sqlalchemy.exc.StatementError as exc:\n flask.abort(404)\n return flask.jsonify({\n \"quota_rule\": f\"*:bytes={quota[0]}\"\n })\n\n\[email protected](\"/dovecot/quota/<ns>/<path:user_email>\", methods=[\"POST\"])\ndef dovecot_quota(ns, user_email):\n user = models.User.query.get(user_email) or flask.abort(404)\n if ns == \"storage\":\n user.quota_bytes_used = flask.request.get_json()\n user.dont_change_updated_at()\n models.db.session.commit()\n return flask.jsonify(None)\n\n\[email protected](\"/dovecot/sieve/name/<script>/<path:user_email>\")\ndef dovecot_sieve_name(script, user_email):\n return flask.jsonify(script)\n\n\[email protected](\"/dovecot/sieve/data/default/<path:user_email>\")\ndef dovecot_sieve_data(user_email):\n user = models.User.query.get(user_email) or flask.abort(404)\n return flask.jsonify(flask.render_template(\"default.sieve\", user=user))\n", "path": "core/admin/mailu/internal/views/dovecot.py" } ]
[ { "content": "from mailu import models\nfrom mailu.internal import internal\nfrom flask import current_app as app\n\nimport flask\nimport socket\nimport os\nimport sqlalchemy.exc\n\[email protected](\"/dovecot/passdb/<path:user_email>\")\ndef dovecot_passdb_dict(user_email):\n user = models.User.query.get(user_email) or flask.abort(404)\n allow_nets = []\n allow_nets.append(app.config[\"SUBNET\"])\n if app.config[\"SUBNET6\"]:\n allow_nets.append(app.config[\"SUBNET6\"])\n return flask.jsonify({\n \"password\": None,\n \"nopassword\": \"Y\",\n \"allow_real_nets\": \",\".join(allow_nets)\n })\n\[email protected](\"/dovecot/userdb/\")\ndef dovecot_userdb_dict_list():\n return flask.jsonify([\n user[0] for user in models.User.query.filter(models.User.enabled.is_(True)).with_entities(models.User.email).all()\n ])\n\[email protected](\"/dovecot/userdb/<path:user_email>\")\ndef dovecot_userdb_dict(user_email):\n try:\n quota = models.User.query.filter(models.User.email==user_email).with_entities(models.User.quota_bytes).one_or_none() or flask.abort(404)\n except sqlalchemy.exc.StatementError as exc:\n flask.abort(404)\n return flask.jsonify({\n \"quota_rule\": f\"*:bytes={quota[0]}\"\n })\n\n\[email protected](\"/dovecot/quota/<ns>/<path:user_email>\", methods=[\"POST\"])\ndef dovecot_quota(ns, user_email):\n user = models.User.query.get(user_email) or flask.abort(404)\n if ns == \"storage\":\n user.quota_bytes_used = flask.request.get_json()\n user.dont_change_updated_at()\n models.db.session.commit()\n return flask.jsonify(None)\n\n\[email protected](\"/dovecot/sieve/name/<script>/<path:user_email>\")\ndef dovecot_sieve_name(script, user_email):\n return flask.jsonify(script)\n\n\[email protected](\"/dovecot/sieve/data/default/<path:user_email>\")\ndef dovecot_sieve_data(user_email):\n user = models.User.query.get(user_email) or flask.abort(404)\n return flask.jsonify(flask.render_template(\"default.sieve\", user=user))\n", "path": "core/admin/mailu/internal/views/dovecot.py" } ]
diff --git a/core/admin/mailu/internal/views/dovecot.py b/core/admin/mailu/internal/views/dovecot.py index 07fce5b22..f9a07556e 100644 --- a/core/admin/mailu/internal/views/dovecot.py +++ b/core/admin/mailu/internal/views/dovecot.py @@ -17,7 +17,7 @@ def dovecot_passdb_dict(user_email): return flask.jsonify({ "password": None, "nopassword": "Y", - "allow_nets": ",".join(allow_nets) + "allow_real_nets": ",".join(allow_nets) }) @internal.route("/dovecot/userdb/") diff --git a/core/dovecot/conf/dovecot.conf b/core/dovecot/conf/dovecot.conf index d9b851720..60c942388 100644 --- a/core/dovecot/conf/dovecot.conf +++ b/core/dovecot/conf/dovecot.conf @@ -11,6 +11,8 @@ default_internal_user = dovecot default_login_user = mail default_internal_group = dovecot +haproxy_trusted_networks = {{ SUBNET }} {{ SUBNET6 }} + ############### # Mailboxes ############### @@ -109,6 +111,7 @@ protocol pop3 { service imap-login { inet_listener imap { port = 143 + haproxy = yes } } diff --git a/core/nginx/conf/nginx.conf b/core/nginx/conf/nginx.conf index b373fb134..7dc3be901 100644 --- a/core/nginx/conf/nginx.conf +++ b/core/nginx/conf/nginx.conf @@ -292,6 +292,9 @@ mail { pop3_capabilities TOP UIDL RESP-CODES PIPELINING AUTH-RESP-CODE USER; imap_capabilities IMAP4 IMAP4rev1 UIDPLUS SASL-IR LOGIN-REFERRALS ID ENABLE IDLE LITERAL+; + # ensure we talk HAPROXY protocol to the backends + proxy_protocol on; + # Default SMTP server for the webmail (no encryption, but authentication) server { listen 10025; diff --git a/core/postfix/Dockerfile b/core/postfix/Dockerfile index dab4396c1..df902dd43 100644 --- a/core/postfix/Dockerfile +++ b/core/postfix/Dockerfile @@ -15,7 +15,7 @@ COPY start.py / RUN echo $VERSION >/version EXPOSE 25/tcp 10025/tcp -HEALTHCHECK --start-period=350s CMD echo QUIT|nc localhost 25|grep "220 .* ESMTP Postfix" +HEALTHCHECK --start-period=350s CMD /usr/sbin/postfix status VOLUME ["/queue"] diff --git a/core/postfix/conf/main.cf b/core/postfix/conf/main.cf index 2f0275b7d..329960953 100644 --- a/core/postfix/conf/main.cf +++ b/core/postfix/conf/main.cf @@ -22,6 +22,9 @@ alias_maps = # Podop configuration podop = socketmap:unix:/tmp/podop.socket: +postscreen_upstream_proxy_protocol = haproxy +compatibility_level=3.6 + # Only accept virtual emails mydestination = @@ -37,9 +40,8 @@ smtp_sasl_tls_security_options = noanonymous # Recipient delimiter for extended addresses recipient_delimiter = {{ RECIPIENT_DELIMITER }} -# Only the front server is allowed to perform xclient -# In kubernetes and Docker swarm, such address cannot be determined using the hostname. Allow for the whole Mailu subnet instead. -smtpd_authorized_xclient_hosts={{ SUBNET }} +# We need to allow everything to do xclient and rely on front to filter-out "bad" requests +smtpd_authorized_xclient_hosts=0.0.0.0/0 [::0]/0 ############### # TLS diff --git a/core/postfix/conf/master.cf b/core/postfix/conf/master.cf index bec96a304..116633f1a 100644 --- a/core/postfix/conf/master.cf +++ b/core/postfix/conf/master.cf @@ -2,10 +2,10 @@ # (yes) (yes) (yes) (never) (100) # Exposed SMTP service -smtp inet n - n - - smtpd +smtp inet n - n - 1 postscreen # Internal SMTP service -10025 inet n - n - - smtpd +10025 inet n - n - 1 postscreen -o smtpd_sasl_auth_enable=yes -o smtpd_discard_ehlo_keywords=pipelining -o smtpd_client_restrictions=$check_ratelimit,reject_unlisted_sender,reject_authenticated_sender_login_mismatch,permit @@ -44,6 +44,7 @@ verify unix - - n - 1 verify flush unix n - n 1000? 0 flush proxymap unix - - n - - proxymap smtp unix - - n - - smtp +smtpd pass - - n - - smtpd relay unix - - n - - smtp error unix - - n - - error retry unix - - n - - error @@ -52,4 +53,3 @@ lmtp unix - - n - - lmtp anvil unix - - n - 1 anvil scache unix - - n - 1 scache postlog unix-dgram n - n - 1 postlogd - diff --git a/towncrier/newsfragments/2603.bugfix b/towncrier/newsfragments/2603.bugfix new file mode 100644 index 000000000..7fdb9ef2d --- /dev/null +++ b/towncrier/newsfragments/2603.bugfix @@ -0,0 +1 @@ +Speak HAPROXY protocol in between front and smtp and front and imap. This ensures the backend is aware of the real client IP and whether TLS was used.
Maximum number of connections from user+IP exceeded Hi, we have a problem... :-) We have changed the original value of "AUTH_RATELIMIT" to "AUTH_RATELIMIT=100/minute;6000/hour", but logs continue to say " Maximum number of connections from user+IP exceeded (mail_max_userip_connections=20)" while reading response from upstream..." We have made docker-compose dow and docker-compose up -d, but without result. How can we change the default limit set during the installation? Thanks in advance.
searx__searx-671
[ { "content": "#!/usr/bin/env python\n\n'''\nsearx is free software: you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.\n\nsearx is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU Affero General Public License for more details.\n\nYou should have received a copy of the GNU Affero General Public License\nalong with searx. If not, see < http://www.gnu.org/licenses/ >.\n\n(C) 2013- by Adam Tauber, <[email protected]>\n'''\n\nif __name__ == '__main__':\n from sys import path\n from os.path import realpath, dirname\n path.append(realpath(dirname(realpath(__file__)) + '/../'))\n\nimport json\nimport cStringIO\nimport os\nimport hashlib\nimport requests\n\nfrom searx import logger\nlogger = logger.getChild('webapp')\n\ntry:\n from pygments import highlight\n from pygments.lexers import get_lexer_by_name\n from pygments.formatters import HtmlFormatter\nexcept:\n logger.critical(\"cannot import dependency: pygments\")\n from sys import exit\n exit(1)\n\nfrom datetime import datetime, timedelta\nfrom urllib import urlencode\nfrom urlparse import urlparse, urljoin\nfrom werkzeug.contrib.fixers import ProxyFix\nfrom flask import (\n Flask, request, render_template, url_for, Response, make_response,\n redirect, send_from_directory\n)\nfrom flask_babel import Babel, gettext, format_date, format_decimal\nfrom flask.json import jsonify\nfrom searx import settings, searx_dir\nfrom searx.engines import (\n categories, engines, get_engines_stats, engine_shortcuts\n)\nfrom searx.utils import (\n UnicodeWriter, highlight_content, html_to_text, get_themes,\n get_static_files, get_result_templates, gen_useragent, dict_subset,\n prettify_url\n)\nfrom searx.version import VERSION_STRING\nfrom searx.languages import language_codes\nfrom searx.search import Search\nfrom searx.query import Query\nfrom searx.autocomplete import searx_bang, backends as autocomplete_backends\nfrom searx.plugins import plugins\nfrom searx.preferences import Preferences, ValidationException\n\n# check if the pyopenssl, ndg-httpsclient, pyasn1 packages are installed.\n# They are needed for SSL connection without trouble, see #298\ntry:\n import OpenSSL.SSL # NOQA\n import ndg.httpsclient # NOQA\n import pyasn1 # NOQA\nexcept ImportError:\n logger.critical(\"The pyopenssl, ndg-httpsclient, pyasn1 packages have to be installed.\\n\"\n \"Some HTTPS connections will fail\")\n\n\nstatic_path, templates_path, themes =\\\n get_themes(settings['ui']['themes_path']\n if settings['ui']['themes_path']\n else searx_dir)\n\ndefault_theme = settings['ui']['default_theme']\n\nstatic_files = get_static_files(searx_dir)\n\nresult_templates = get_result_templates(searx_dir)\n\napp = Flask(\n __name__,\n static_folder=static_path,\n template_folder=templates_path\n)\n\napp.jinja_env.trim_blocks = True\napp.jinja_env.lstrip_blocks = True\napp.secret_key = settings['server']['secret_key']\n\nbabel = Babel(app)\n\nrtl_locales = ['ar', 'arc', 'bcc', 'bqi', 'ckb', 'dv', 'fa', 'glk', 'he',\n 'ku', 'mzn', 'pnb'', ''ps', 'sd', 'ug', 'ur', 'yi']\n\nglobal_favicons = []\nfor indice, theme in enumerate(themes):\n global_favicons.append([])\n theme_img_path = searx_dir + \"/static/themes/\" + theme + \"/img/icons/\"\n for (dirpath, dirnames, filenames) in os.walk(theme_img_path):\n global_favicons[indice].extend(filenames)\n\n# used when translating category names\n_category_names = (gettext('files'),\n gettext('general'),\n gettext('music'),\n gettext('social media'),\n gettext('images'),\n gettext('videos'),\n gettext('it'),\n gettext('news'),\n gettext('map'),\n gettext('science'))\n\noutgoing_proxies = settings['outgoing'].get('proxies', None)\n\n\[email protected]\ndef get_locale():\n locale = request.accept_languages.best_match(settings['locales'].keys())\n\n if request.preferences.get_value('locale') != '':\n locale = request.preferences.get_value('locale')\n\n if 'locale' in request.args\\\n and request.args['locale'] in settings['locales']:\n locale = request.args['locale']\n\n if 'locale' in request.form\\\n and request.form['locale'] in settings['locales']:\n locale = request.form['locale']\n\n return locale\n\n\n# code-highlighter\[email protected]_filter('code_highlighter')\ndef code_highlighter(codelines, language=None):\n if not language:\n language = 'text'\n\n try:\n # find lexer by programing language\n lexer = get_lexer_by_name(language, stripall=True)\n except:\n # if lexer is not found, using default one\n logger.debug('highlighter cannot find lexer for {0}'.format(language))\n lexer = get_lexer_by_name('text', stripall=True)\n\n html_code = ''\n tmp_code = ''\n last_line = None\n\n # parse lines\n for line, code in codelines:\n if not last_line:\n line_code_start = line\n\n # new codeblock is detected\n if last_line is not None and\\\n last_line + 1 != line:\n\n # highlight last codepart\n formatter = HtmlFormatter(linenos='inline',\n linenostart=line_code_start)\n html_code = html_code + highlight(tmp_code, lexer, formatter)\n\n # reset conditions for next codepart\n tmp_code = ''\n line_code_start = line\n\n # add codepart\n tmp_code += code + '\\n'\n\n # update line\n last_line = line\n\n # highlight last codepart\n formatter = HtmlFormatter(linenos='inline', linenostart=line_code_start)\n html_code = html_code + highlight(tmp_code, lexer, formatter)\n\n return html_code\n\n\n# Extract domain from url\[email protected]_filter('extract_domain')\ndef extract_domain(url):\n return urlparse(url)[1]\n\n\ndef get_base_url():\n if settings['server']['base_url']:\n hostname = settings['server']['base_url']\n else:\n scheme = 'http'\n if request.is_secure:\n scheme = 'https'\n hostname = url_for('index', _external=True, _scheme=scheme)\n return hostname\n\n\ndef get_current_theme_name(override=None):\n \"\"\"Returns theme name.\n\n Checks in this order:\n 1. override\n 2. cookies\n 3. settings\"\"\"\n\n if override and override in themes:\n return override\n theme_name = request.args.get('theme', request.preferences.get_value('theme'))\n if theme_name not in themes:\n theme_name = default_theme\n return theme_name\n\n\ndef get_result_template(theme, template_name):\n themed_path = theme + '/result_templates/' + template_name\n if themed_path in result_templates:\n return themed_path\n return 'result_templates/' + template_name\n\n\ndef url_for_theme(endpoint, override_theme=None, **values):\n if endpoint == 'static' and values.get('filename'):\n theme_name = get_current_theme_name(override=override_theme)\n filename_with_theme = \"themes/{}/{}\".format(theme_name, values['filename'])\n if filename_with_theme in static_files:\n values['filename'] = filename_with_theme\n return url_for(endpoint, **values)\n\n\ndef image_proxify(url):\n\n if url.startswith('//'):\n url = 'https:' + url\n\n if not request.preferences.get_value('image_proxy'):\n return url\n\n hash_string = url + settings['server']['secret_key']\n h = hashlib.sha256(hash_string.encode('utf-8')).hexdigest()\n\n return '{0}?{1}'.format(url_for('image_proxy'),\n urlencode(dict(url=url.encode('utf-8'), h=h)))\n\n\ndef render(template_name, override_theme=None, **kwargs):\n disabled_engines = request.preferences.engines.get_disabled()\n\n enabled_categories = set(category for engine_name in engines\n for category in engines[engine_name].categories\n if (engine_name, category) not in disabled_engines)\n\n if 'categories' not in kwargs:\n kwargs['categories'] = ['general']\n kwargs['categories'].extend(x for x in\n sorted(categories.keys())\n if x != 'general'\n and x in enabled_categories)\n\n if 'all_categories' not in kwargs:\n kwargs['all_categories'] = ['general']\n kwargs['all_categories'].extend(x for x in\n sorted(categories.keys())\n if x != 'general')\n\n if 'selected_categories' not in kwargs:\n kwargs['selected_categories'] = []\n for arg in request.args:\n if arg.startswith('category_'):\n c = arg.split('_', 1)[1]\n if c in categories:\n kwargs['selected_categories'].append(c)\n\n if not kwargs['selected_categories']:\n cookie_categories = request.preferences.get_value('categories')\n for ccateg in cookie_categories:\n kwargs['selected_categories'].append(ccateg)\n\n if not kwargs['selected_categories']:\n kwargs['selected_categories'] = ['general']\n\n if 'autocomplete' not in kwargs:\n kwargs['autocomplete'] = request.preferences.get_value('autocomplete')\n\n if get_locale() in rtl_locales and 'rtl' not in kwargs:\n kwargs['rtl'] = True\n\n kwargs['searx_version'] = VERSION_STRING\n\n kwargs['method'] = request.preferences.get_value('method')\n\n kwargs['safesearch'] = str(request.preferences.get_value('safesearch'))\n\n # override url_for function in templates\n kwargs['url_for'] = url_for_theme\n\n kwargs['image_proxify'] = image_proxify\n\n kwargs['get_result_template'] = get_result_template\n\n kwargs['theme'] = get_current_theme_name(override=override_theme)\n\n kwargs['template_name'] = template_name\n\n kwargs['cookies'] = request.cookies\n\n kwargs['instance_name'] = settings['general']['instance_name']\n\n kwargs['scripts'] = set()\n for plugin in request.user_plugins:\n for script in plugin.js_dependencies:\n kwargs['scripts'].add(script)\n\n kwargs['styles'] = set()\n for plugin in request.user_plugins:\n for css in plugin.css_dependencies:\n kwargs['styles'].add(css)\n\n return render_template(\n '{}/{}'.format(kwargs['theme'], template_name), **kwargs)\n\n\[email protected]_request\ndef pre_request():\n # merge GET, POST vars\n preferences = Preferences(themes, categories.keys(), engines, plugins)\n preferences.parse_cookies(request.cookies)\n request.preferences = preferences\n\n request.form = dict(request.form.items())\n for k, v in request.args.items():\n if k not in request.form:\n request.form[k] = v\n\n request.user_plugins = []\n allowed_plugins = preferences.plugins.get_enabled()\n disabled_plugins = preferences.plugins.get_disabled()\n for plugin in plugins:\n if ((plugin.default_on and plugin.id not in disabled_plugins)\n or plugin.id in allowed_plugins):\n request.user_plugins.append(plugin)\n\n\[email protected]('/search', methods=['GET', 'POST'])\[email protected]('/', methods=['GET', 'POST'])\ndef index():\n \"\"\"Render index page.\n\n Supported outputs: html, json, csv, rss.\n \"\"\"\n\n if not request.args and not request.form:\n return render(\n 'index.html',\n )\n\n try:\n search = Search(request)\n except:\n return render(\n 'index.html',\n )\n\n if plugins.call('pre_search', request, locals()):\n search.search(request)\n\n plugins.call('post_search', request, locals())\n\n results = search.result_container.get_ordered_results()\n\n for result in results:\n\n plugins.call('on_result', request, locals())\n if not search.paging and engines[result['engine']].paging:\n search.paging = True\n\n if search.request_data.get('format', 'html') == 'html':\n if 'content' in result:\n result['content'] = highlight_content(result['content'],\n search.query.encode('utf-8')) # noqa\n result['title'] = highlight_content(result['title'],\n search.query.encode('utf-8'))\n else:\n if result.get('content'):\n result['content'] = html_to_text(result['content']).strip()\n # removing html content and whitespace duplications\n result['title'] = ' '.join(html_to_text(result['title']).strip().split())\n\n result['pretty_url'] = prettify_url(result['url'])\n\n # TODO, check if timezone is calculated right\n if 'publishedDate' in result:\n try: # test if publishedDate >= 1900 (datetime module bug)\n result['pubdate'] = result['publishedDate'].strftime('%Y-%m-%d %H:%M:%S%z')\n except ValueError:\n result['publishedDate'] = None\n else:\n if result['publishedDate'].replace(tzinfo=None) >= datetime.now() - timedelta(days=1):\n timedifference = datetime.now() - result['publishedDate'].replace(tzinfo=None)\n minutes = int((timedifference.seconds / 60) % 60)\n hours = int(timedifference.seconds / 60 / 60)\n if hours == 0:\n result['publishedDate'] = gettext(u'{minutes} minute(s) ago').format(minutes=minutes)\n else:\n result['publishedDate'] = gettext(u'{hours} hour(s), {minutes} minute(s) ago').format(hours=hours, minutes=minutes) # noqa\n else:\n result['publishedDate'] = format_date(result['publishedDate'])\n\n number_of_results = search.result_container.results_number()\n if number_of_results < search.result_container.results_length():\n number_of_results = 0\n\n if search.request_data.get('format') == 'json':\n return Response(json.dumps({'query': search.query,\n 'number_of_results': number_of_results,\n 'results': results}),\n mimetype='application/json')\n elif search.request_data.get('format') == 'csv':\n csv = UnicodeWriter(cStringIO.StringIO())\n keys = ('title', 'url', 'content', 'host', 'engine', 'score')\n csv.writerow(keys)\n for row in results:\n row['host'] = row['parsed_url'].netloc\n csv.writerow([row.get(key, '') for key in keys])\n csv.stream.seek(0)\n response = Response(csv.stream.read(), mimetype='application/csv')\n cont_disp = 'attachment;Filename=searx_-_{0}.csv'.format(search.query.encode('utf-8'))\n response.headers.add('Content-Disposition', cont_disp)\n return response\n elif search.request_data.get('format') == 'rss':\n response_rss = render(\n 'opensearch_response_rss.xml',\n results=results,\n q=search.request_data['q'],\n number_of_results=number_of_results,\n base_url=get_base_url()\n )\n return Response(response_rss, mimetype='text/xml')\n\n return render(\n 'results.html',\n results=results,\n q=search.request_data['q'],\n selected_categories=search.categories,\n paging=search.paging,\n number_of_results=format_decimal(number_of_results),\n pageno=search.pageno,\n advanced_search=search.is_advanced,\n time_range=search.time_range,\n base_url=get_base_url(),\n suggestions=search.result_container.suggestions,\n answers=search.result_container.answers,\n infoboxes=search.result_container.infoboxes,\n theme=get_current_theme_name(),\n favicons=global_favicons[themes.index(get_current_theme_name())]\n )\n\n\[email protected]('/about', methods=['GET'])\ndef about():\n \"\"\"Render about page\"\"\"\n return render(\n 'about.html',\n )\n\n\[email protected]('/autocompleter', methods=['GET', 'POST'])\ndef autocompleter():\n \"\"\"Return autocompleter results\"\"\"\n request_data = {}\n\n # select request method\n if request.method == 'POST':\n request_data = request.form\n else:\n request_data = request.args\n\n # set blocked engines\n disabled_engines = request.preferences.engines.get_disabled()\n\n # parse query\n query = Query(request_data.get('q', '').encode('utf-8'), disabled_engines)\n query.parse_query()\n\n # check if search query is set\n if not query.getSearchQuery():\n return '', 400\n\n # run autocompleter\n completer = autocomplete_backends.get(request.preferences.get_value('autocomplete'))\n\n # parse searx specific autocompleter results like !bang\n raw_results = searx_bang(query)\n\n # normal autocompletion results only appear if max 3 inner results returned\n if len(raw_results) <= 3 and completer:\n # get language from cookie\n language = request.preferences.get_value('language')\n if not language or language == 'all':\n language = 'en'\n else:\n language = language.split('_')[0]\n # run autocompletion\n raw_results.extend(completer(query.getSearchQuery(), language))\n\n # parse results (write :language and !engine back to result string)\n results = []\n for result in raw_results:\n query.changeSearchQuery(result)\n\n # add parsed result\n results.append(query.getFullQuery())\n\n # return autocompleter results\n if request_data.get('format') == 'x-suggestions':\n return Response(json.dumps([query.query, results]),\n mimetype='application/json')\n\n return Response(json.dumps(results),\n mimetype='application/json')\n\n\[email protected]('/preferences', methods=['GET', 'POST'])\ndef preferences():\n \"\"\"Render preferences page && save user preferences\"\"\"\n\n # save preferences\n if request.method == 'POST':\n resp = make_response(redirect(urljoin(settings['server']['base_url'], url_for('index'))))\n try:\n request.preferences.parse_form(request.form)\n except ValidationException:\n # TODO use flash feature of flask\n return resp\n return request.preferences.save(resp)\n\n # render preferences\n image_proxy = request.preferences.get_value('image_proxy')\n lang = request.preferences.get_value('language')\n disabled_engines = request.preferences.engines.get_disabled()\n allowed_plugins = request.preferences.plugins.get_enabled()\n\n # stats for preferences page\n stats = {}\n\n for c in categories:\n for e in categories[c]:\n stats[e.name] = {'time': None,\n 'warn_timeout': False,\n 'warn_time': False}\n if e.timeout > settings['outgoing']['request_timeout']:\n stats[e.name]['warn_timeout'] = True\n\n for engine_stat in get_engines_stats()[0][1]:\n stats[engine_stat.get('name')]['time'] = round(engine_stat.get('avg'), 3)\n if engine_stat.get('avg') > settings['outgoing']['request_timeout']:\n stats[engine_stat.get('name')]['warn_time'] = True\n # end of stats\n\n return render('preferences.html',\n locales=settings['locales'],\n current_locale=get_locale(),\n current_language=lang,\n image_proxy=image_proxy,\n language_codes=language_codes,\n engines_by_category=categories,\n stats=stats,\n disabled_engines=disabled_engines,\n autocomplete_backends=autocomplete_backends,\n shortcuts={y: x for x, y in engine_shortcuts.items()},\n themes=themes,\n plugins=plugins,\n allowed_plugins=allowed_plugins,\n theme=get_current_theme_name())\n\n\[email protected]('/image_proxy', methods=['GET'])\ndef image_proxy():\n url = request.args.get('url').encode('utf-8')\n\n if not url:\n return '', 400\n\n h = hashlib.sha256(url + settings['server']['secret_key'].encode('utf-8')).hexdigest()\n\n if h != request.args.get('h'):\n return '', 400\n\n headers = dict_subset(request.headers, {'If-Modified-Since', 'If-None-Match'})\n headers['User-Agent'] = gen_useragent()\n\n resp = requests.get(url,\n stream=True,\n timeout=settings['outgoing']['request_timeout'],\n headers=headers,\n proxies=outgoing_proxies)\n\n if resp.status_code == 304:\n return '', resp.status_code\n\n if resp.status_code != 200:\n logger.debug('image-proxy: wrong response code: {0}'.format(resp.status_code))\n if resp.status_code >= 400:\n return '', resp.status_code\n return '', 400\n\n if not resp.headers.get('content-type', '').startswith('image/'):\n logger.debug('image-proxy: wrong content-type: {0}'.format(resp.headers.get('content-type')))\n return '', 400\n\n img = ''\n chunk_counter = 0\n\n for chunk in resp.iter_content(1024 * 1024):\n chunk_counter += 1\n if chunk_counter > 5:\n return '', 502 # Bad gateway - file is too big (>5M)\n img += chunk\n\n headers = dict_subset(resp.headers, {'Content-Length', 'Length', 'Date', 'Last-Modified', 'Expires', 'Etag'})\n\n return Response(img, mimetype=resp.headers['content-type'], headers=headers)\n\n\[email protected]('/stats', methods=['GET'])\ndef stats():\n \"\"\"Render engine statistics page.\"\"\"\n stats = get_engines_stats()\n return render(\n 'stats.html',\n stats=stats,\n )\n\n\[email protected]('/robots.txt', methods=['GET'])\ndef robots():\n return Response(\"\"\"User-agent: *\nAllow: /\nAllow: /about\nDisallow: /stats\nDisallow: /preferences\n\"\"\", mimetype='text/plain')\n\n\[email protected]('/opensearch.xml', methods=['GET'])\ndef opensearch():\n method = 'post'\n\n if request.preferences.get_value('method') == 'GET':\n method = 'get'\n\n # chrome/chromium only supports HTTP GET....\n if request.headers.get('User-Agent', '').lower().find('webkit') >= 0:\n method = 'get'\n\n ret = render('opensearch.xml',\n opensearch_method=method,\n host=get_base_url(),\n urljoin=urljoin)\n\n resp = Response(response=ret,\n status=200,\n mimetype=\"text/xml\")\n return resp\n\n\[email protected]('/favicon.ico')\ndef favicon():\n return send_from_directory(os.path.join(app.root_path,\n 'static/themes',\n get_current_theme_name(),\n 'img'),\n 'favicon.png',\n mimetype='image/vnd.microsoft.icon')\n\n\[email protected]('/clear_cookies')\ndef clear_cookies():\n resp = make_response(redirect(urljoin(settings['server']['base_url'], url_for('index'))))\n for cookie_name in request.cookies:\n resp.delete_cookie(cookie_name)\n return resp\n\n\[email protected]('/config')\ndef config():\n return jsonify({'categories': categories.keys(),\n 'engines': [{'name': engine_name,\n 'categories': engine.categories,\n 'shortcut': engine.shortcut,\n 'enabled': not engine.disabled}\n for engine_name, engine in engines.items()],\n 'plugins': [{'name': plugin.name,\n 'enabled': plugin.default_on}\n for plugin in plugins],\n 'instance_name': settings['general']['instance_name'],\n 'locales': settings['locales'],\n 'default_locale': settings['ui']['default_locale'],\n 'autocomplete': settings['search']['autocomplete'],\n 'safe_search': settings['search']['safe_search'],\n 'default_theme': settings['ui']['default_theme']})\n\n\ndef run():\n app.run(\n debug=settings['general']['debug'],\n use_debugger=settings['general']['debug'],\n port=settings['server']['port'],\n host=settings['server']['bind_address']\n )\n\n\nclass ReverseProxyPathFix(object):\n '''Wrap the application in this middleware and configure the\n front-end server to add these headers, to let you quietly bind\n this to a URL other than / and to an HTTP scheme that is\n different than what is used locally.\n\n http://flask.pocoo.org/snippets/35/\n\n In nginx:\n location /myprefix {\n proxy_pass http://127.0.0.1:8000;\n proxy_set_header Host $host;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_set_header X-Scheme $scheme;\n proxy_set_header X-Script-Name /myprefix;\n }\n\n :param app: the WSGI application\n '''\n\n def __init__(self, app):\n self.app = app\n\n def __call__(self, environ, start_response):\n script_name = environ.get('HTTP_X_SCRIPT_NAME', '')\n if script_name:\n environ['SCRIPT_NAME'] = script_name\n path_info = environ['PATH_INFO']\n if path_info.startswith(script_name):\n environ['PATH_INFO'] = path_info[len(script_name):]\n\n scheme = environ.get('HTTP_X_SCHEME', '')\n if scheme:\n environ['wsgi.url_scheme'] = scheme\n return self.app(environ, start_response)\n\n\napplication = app\n# patch app to handle non root url-s behind proxy & wsgi\napp.wsgi_app = ReverseProxyPathFix(ProxyFix(application.wsgi_app))\n\nif __name__ == \"__main__\":\n run()\n", "path": "searx/webapp.py" } ]
[ { "content": "#!/usr/bin/env python\n\n'''\nsearx is free software: you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.\n\nsearx is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU Affero General Public License for more details.\n\nYou should have received a copy of the GNU Affero General Public License\nalong with searx. If not, see < http://www.gnu.org/licenses/ >.\n\n(C) 2013- by Adam Tauber, <[email protected]>\n'''\n\nif __name__ == '__main__':\n from sys import path\n from os.path import realpath, dirname\n path.append(realpath(dirname(realpath(__file__)) + '/../'))\n\nimport json\nimport cStringIO\nimport os\nimport hashlib\nimport requests\n\nfrom searx import logger\nlogger = logger.getChild('webapp')\n\ntry:\n from pygments import highlight\n from pygments.lexers import get_lexer_by_name\n from pygments.formatters import HtmlFormatter\nexcept:\n logger.critical(\"cannot import dependency: pygments\")\n from sys import exit\n exit(1)\n\nfrom datetime import datetime, timedelta\nfrom urllib import urlencode\nfrom urlparse import urlparse, urljoin\nfrom werkzeug.contrib.fixers import ProxyFix\nfrom flask import (\n Flask, request, render_template, url_for, Response, make_response,\n redirect, send_from_directory\n)\nfrom flask_babel import Babel, gettext, format_date, format_decimal\nfrom flask.json import jsonify\nfrom searx import settings, searx_dir\nfrom searx.engines import (\n categories, engines, get_engines_stats, engine_shortcuts\n)\nfrom searx.utils import (\n UnicodeWriter, highlight_content, html_to_text, get_themes,\n get_static_files, get_result_templates, gen_useragent, dict_subset,\n prettify_url\n)\nfrom searx.version import VERSION_STRING\nfrom searx.languages import language_codes\nfrom searx.search import Search\nfrom searx.query import Query\nfrom searx.autocomplete import searx_bang, backends as autocomplete_backends\nfrom searx.plugins import plugins\nfrom searx.preferences import Preferences, ValidationException\n\n# check if the pyopenssl, ndg-httpsclient, pyasn1 packages are installed.\n# They are needed for SSL connection without trouble, see #298\ntry:\n import OpenSSL.SSL # NOQA\n import ndg.httpsclient # NOQA\n import pyasn1 # NOQA\nexcept ImportError:\n logger.critical(\"The pyopenssl, ndg-httpsclient, pyasn1 packages have to be installed.\\n\"\n \"Some HTTPS connections will fail\")\n\n\nstatic_path, templates_path, themes =\\\n get_themes(settings['ui']['themes_path']\n if settings['ui']['themes_path']\n else searx_dir)\n\ndefault_theme = settings['ui']['default_theme']\n\nstatic_files = get_static_files(searx_dir)\n\nresult_templates = get_result_templates(searx_dir)\n\napp = Flask(\n __name__,\n static_folder=static_path,\n template_folder=templates_path\n)\n\napp.jinja_env.trim_blocks = True\napp.jinja_env.lstrip_blocks = True\napp.secret_key = settings['server']['secret_key']\n\nbabel = Babel(app)\n\nrtl_locales = ['ar', 'arc', 'bcc', 'bqi', 'ckb', 'dv', 'fa', 'glk', 'he',\n 'ku', 'mzn', 'pnb'', ''ps', 'sd', 'ug', 'ur', 'yi']\n\nglobal_favicons = []\nfor indice, theme in enumerate(themes):\n global_favicons.append([])\n theme_img_path = searx_dir + \"/static/themes/\" + theme + \"/img/icons/\"\n for (dirpath, dirnames, filenames) in os.walk(theme_img_path):\n global_favicons[indice].extend(filenames)\n\n# used when translating category names\n_category_names = (gettext('files'),\n gettext('general'),\n gettext('music'),\n gettext('social media'),\n gettext('images'),\n gettext('videos'),\n gettext('it'),\n gettext('news'),\n gettext('map'),\n gettext('science'))\n\noutgoing_proxies = settings['outgoing'].get('proxies', None)\n\n\[email protected]\ndef get_locale():\n locale = request.accept_languages.best_match(settings['locales'].keys())\n\n if request.preferences.get_value('locale') != '':\n locale = request.preferences.get_value('locale')\n\n if 'locale' in request.args\\\n and request.args['locale'] in settings['locales']:\n locale = request.args['locale']\n\n if 'locale' in request.form\\\n and request.form['locale'] in settings['locales']:\n locale = request.form['locale']\n\n return locale\n\n\n# code-highlighter\[email protected]_filter('code_highlighter')\ndef code_highlighter(codelines, language=None):\n if not language:\n language = 'text'\n\n try:\n # find lexer by programing language\n lexer = get_lexer_by_name(language, stripall=True)\n except:\n # if lexer is not found, using default one\n logger.debug('highlighter cannot find lexer for {0}'.format(language))\n lexer = get_lexer_by_name('text', stripall=True)\n\n html_code = ''\n tmp_code = ''\n last_line = None\n\n # parse lines\n for line, code in codelines:\n if not last_line:\n line_code_start = line\n\n # new codeblock is detected\n if last_line is not None and\\\n last_line + 1 != line:\n\n # highlight last codepart\n formatter = HtmlFormatter(linenos='inline',\n linenostart=line_code_start)\n html_code = html_code + highlight(tmp_code, lexer, formatter)\n\n # reset conditions for next codepart\n tmp_code = ''\n line_code_start = line\n\n # add codepart\n tmp_code += code + '\\n'\n\n # update line\n last_line = line\n\n # highlight last codepart\n formatter = HtmlFormatter(linenos='inline', linenostart=line_code_start)\n html_code = html_code + highlight(tmp_code, lexer, formatter)\n\n return html_code\n\n\n# Extract domain from url\[email protected]_filter('extract_domain')\ndef extract_domain(url):\n return urlparse(url)[1]\n\n\ndef get_base_url():\n if settings['server']['base_url']:\n hostname = settings['server']['base_url']\n else:\n scheme = 'http'\n if request.is_secure:\n scheme = 'https'\n hostname = url_for('index', _external=True, _scheme=scheme)\n return hostname\n\n\ndef get_current_theme_name(override=None):\n \"\"\"Returns theme name.\n\n Checks in this order:\n 1. override\n 2. cookies\n 3. settings\"\"\"\n\n if override and override in themes:\n return override\n theme_name = request.args.get('theme', request.preferences.get_value('theme'))\n if theme_name not in themes:\n theme_name = default_theme\n return theme_name\n\n\ndef get_result_template(theme, template_name):\n themed_path = theme + '/result_templates/' + template_name\n if themed_path in result_templates:\n return themed_path\n return 'result_templates/' + template_name\n\n\ndef url_for_theme(endpoint, override_theme=None, **values):\n if endpoint == 'static' and values.get('filename'):\n theme_name = get_current_theme_name(override=override_theme)\n filename_with_theme = \"themes/{}/{}\".format(theme_name, values['filename'])\n if filename_with_theme in static_files:\n values['filename'] = filename_with_theme\n return url_for(endpoint, **values)\n\n\ndef image_proxify(url):\n\n if url.startswith('//'):\n url = 'https:' + url\n\n if not request.preferences.get_value('image_proxy'):\n return url\n\n hash_string = url + settings['server']['secret_key']\n h = hashlib.sha256(hash_string.encode('utf-8')).hexdigest()\n\n return '{0}?{1}'.format(url_for('image_proxy'),\n urlencode(dict(url=url.encode('utf-8'), h=h)))\n\n\ndef render(template_name, override_theme=None, **kwargs):\n disabled_engines = request.preferences.engines.get_disabled()\n\n enabled_categories = set(category for engine_name in engines\n for category in engines[engine_name].categories\n if (engine_name, category) not in disabled_engines)\n\n if 'categories' not in kwargs:\n kwargs['categories'] = ['general']\n kwargs['categories'].extend(x for x in\n sorted(categories.keys())\n if x != 'general'\n and x in enabled_categories)\n\n if 'all_categories' not in kwargs:\n kwargs['all_categories'] = ['general']\n kwargs['all_categories'].extend(x for x in\n sorted(categories.keys())\n if x != 'general')\n\n if 'selected_categories' not in kwargs:\n kwargs['selected_categories'] = []\n for arg in request.args:\n if arg.startswith('category_'):\n c = arg.split('_', 1)[1]\n if c in categories:\n kwargs['selected_categories'].append(c)\n\n if not kwargs['selected_categories']:\n cookie_categories = request.preferences.get_value('categories')\n for ccateg in cookie_categories:\n kwargs['selected_categories'].append(ccateg)\n\n if not kwargs['selected_categories']:\n kwargs['selected_categories'] = ['general']\n\n if 'autocomplete' not in kwargs:\n kwargs['autocomplete'] = request.preferences.get_value('autocomplete')\n\n if get_locale() in rtl_locales and 'rtl' not in kwargs:\n kwargs['rtl'] = True\n\n kwargs['searx_version'] = VERSION_STRING\n\n kwargs['method'] = request.preferences.get_value('method')\n\n kwargs['safesearch'] = str(request.preferences.get_value('safesearch'))\n\n # override url_for function in templates\n kwargs['url_for'] = url_for_theme\n\n kwargs['image_proxify'] = image_proxify\n\n kwargs['get_result_template'] = get_result_template\n\n kwargs['theme'] = get_current_theme_name(override=override_theme)\n\n kwargs['template_name'] = template_name\n\n kwargs['cookies'] = request.cookies\n\n kwargs['instance_name'] = settings['general']['instance_name']\n\n kwargs['scripts'] = set()\n for plugin in request.user_plugins:\n for script in plugin.js_dependencies:\n kwargs['scripts'].add(script)\n\n kwargs['styles'] = set()\n for plugin in request.user_plugins:\n for css in plugin.css_dependencies:\n kwargs['styles'].add(css)\n\n return render_template(\n '{}/{}'.format(kwargs['theme'], template_name), **kwargs)\n\n\[email protected]_request\ndef pre_request():\n # merge GET, POST vars\n preferences = Preferences(themes, categories.keys(), engines, plugins)\n preferences.parse_cookies(request.cookies)\n request.preferences = preferences\n\n request.form = dict(request.form.items())\n for k, v in request.args.items():\n if k not in request.form:\n request.form[k] = v\n\n request.user_plugins = []\n allowed_plugins = preferences.plugins.get_enabled()\n disabled_plugins = preferences.plugins.get_disabled()\n for plugin in plugins:\n if ((plugin.default_on and plugin.id not in disabled_plugins)\n or plugin.id in allowed_plugins):\n request.user_plugins.append(plugin)\n\n\[email protected]('/search', methods=['GET', 'POST'])\[email protected]('/', methods=['GET', 'POST'])\ndef index():\n \"\"\"Render index page.\n\n Supported outputs: html, json, csv, rss.\n \"\"\"\n\n if not request.args and not request.form:\n return render(\n 'index.html',\n )\n\n try:\n search = Search(request)\n except:\n return render(\n 'index.html',\n )\n\n if plugins.call('pre_search', request, locals()):\n search.search(request)\n\n plugins.call('post_search', request, locals())\n\n results = search.result_container.get_ordered_results()\n\n for result in results:\n\n plugins.call('on_result', request, locals())\n if not search.paging and engines[result['engine']].paging:\n search.paging = True\n\n if search.request_data.get('format', 'html') == 'html':\n if 'content' in result:\n result['content'] = highlight_content(result['content'],\n search.query.encode('utf-8')) # noqa\n result['title'] = highlight_content(result['title'],\n search.query.encode('utf-8'))\n else:\n if result.get('content'):\n result['content'] = html_to_text(result['content']).strip()\n # removing html content and whitespace duplications\n result['title'] = ' '.join(html_to_text(result['title']).strip().split())\n\n result['pretty_url'] = prettify_url(result['url'])\n\n # TODO, check if timezone is calculated right\n if 'publishedDate' in result:\n try: # test if publishedDate >= 1900 (datetime module bug)\n result['pubdate'] = result['publishedDate'].strftime('%Y-%m-%d %H:%M:%S%z')\n except ValueError:\n result['publishedDate'] = None\n else:\n if result['publishedDate'].replace(tzinfo=None) >= datetime.now() - timedelta(days=1):\n timedifference = datetime.now() - result['publishedDate'].replace(tzinfo=None)\n minutes = int((timedifference.seconds / 60) % 60)\n hours = int(timedifference.seconds / 60 / 60)\n if hours == 0:\n result['publishedDate'] = gettext(u'{minutes} minute(s) ago').format(minutes=minutes)\n else:\n result['publishedDate'] = gettext(u'{hours} hour(s), {minutes} minute(s) ago').format(hours=hours, minutes=minutes) # noqa\n else:\n result['publishedDate'] = format_date(result['publishedDate'])\n\n number_of_results = search.result_container.results_number()\n if number_of_results < search.result_container.results_length():\n number_of_results = 0\n\n if search.request_data.get('format') == 'json':\n return Response(json.dumps({'query': search.query,\n 'number_of_results': number_of_results,\n 'results': results}),\n mimetype='application/json')\n elif search.request_data.get('format') == 'csv':\n csv = UnicodeWriter(cStringIO.StringIO())\n keys = ('title', 'url', 'content', 'host', 'engine', 'score')\n csv.writerow(keys)\n for row in results:\n row['host'] = row['parsed_url'].netloc\n csv.writerow([row.get(key, '') for key in keys])\n csv.stream.seek(0)\n response = Response(csv.stream.read(), mimetype='application/csv')\n cont_disp = 'attachment;Filename=searx_-_{0}.csv'.format(search.query.encode('utf-8'))\n response.headers.add('Content-Disposition', cont_disp)\n return response\n elif search.request_data.get('format') == 'rss':\n response_rss = render(\n 'opensearch_response_rss.xml',\n results=results,\n q=search.request_data['q'],\n number_of_results=number_of_results,\n base_url=get_base_url()\n )\n return Response(response_rss, mimetype='text/xml')\n\n return render(\n 'results.html',\n results=results,\n q=search.request_data['q'],\n selected_categories=search.categories,\n paging=search.paging,\n number_of_results=format_decimal(number_of_results),\n pageno=search.pageno,\n advanced_search=search.is_advanced,\n time_range=search.time_range,\n base_url=get_base_url(),\n suggestions=search.result_container.suggestions,\n answers=search.result_container.answers,\n infoboxes=search.result_container.infoboxes,\n theme=get_current_theme_name(),\n favicons=global_favicons[themes.index(get_current_theme_name())]\n )\n\n\[email protected]('/about', methods=['GET'])\ndef about():\n \"\"\"Render about page\"\"\"\n return render(\n 'about.html',\n )\n\n\[email protected]('/autocompleter', methods=['GET', 'POST'])\ndef autocompleter():\n \"\"\"Return autocompleter results\"\"\"\n request_data = {}\n\n # select request method\n if request.method == 'POST':\n request_data = request.form\n else:\n request_data = request.args\n\n # set blocked engines\n disabled_engines = request.preferences.engines.get_disabled()\n\n # parse query\n query = Query(request_data.get('q', '').encode('utf-8'), disabled_engines)\n query.parse_query()\n\n # check if search query is set\n if not query.getSearchQuery():\n return '', 400\n\n # run autocompleter\n completer = autocomplete_backends.get(request.preferences.get_value('autocomplete'))\n\n # parse searx specific autocompleter results like !bang\n raw_results = searx_bang(query)\n\n # normal autocompletion results only appear if max 3 inner results returned\n if len(raw_results) <= 3 and completer:\n # get language from cookie\n language = request.preferences.get_value('language')\n if not language or language == 'all':\n language = 'en'\n else:\n language = language.split('_')[0]\n # run autocompletion\n raw_results.extend(completer(query.getSearchQuery(), language))\n\n # parse results (write :language and !engine back to result string)\n results = []\n for result in raw_results:\n query.changeSearchQuery(result)\n\n # add parsed result\n results.append(query.getFullQuery())\n\n # return autocompleter results\n if request_data.get('format') == 'x-suggestions':\n return Response(json.dumps([query.query, results]),\n mimetype='application/json')\n\n return Response(json.dumps(results),\n mimetype='application/json')\n\n\[email protected]('/preferences', methods=['GET', 'POST'])\ndef preferences():\n \"\"\"Render preferences page && save user preferences\"\"\"\n\n # save preferences\n if request.method == 'POST':\n resp = make_response(redirect(urljoin(settings['server']['base_url'], url_for('index'))))\n try:\n request.preferences.parse_form(request.form)\n except ValidationException:\n # TODO use flash feature of flask\n return resp\n return request.preferences.save(resp)\n\n # render preferences\n image_proxy = request.preferences.get_value('image_proxy')\n lang = request.preferences.get_value('language')\n disabled_engines = request.preferences.engines.get_disabled()\n allowed_plugins = request.preferences.plugins.get_enabled()\n\n # stats for preferences page\n stats = {}\n\n for c in categories:\n for e in categories[c]:\n stats[e.name] = {'time': None,\n 'warn_timeout': False,\n 'warn_time': False}\n if e.timeout > settings['outgoing']['request_timeout']:\n stats[e.name]['warn_timeout'] = True\n\n for engine_stat in get_engines_stats()[0][1]:\n stats[engine_stat.get('name')]['time'] = round(engine_stat.get('avg'), 3)\n if engine_stat.get('avg') > settings['outgoing']['request_timeout']:\n stats[engine_stat.get('name')]['warn_time'] = True\n # end of stats\n\n return render('preferences.html',\n locales=settings['locales'],\n current_locale=get_locale(),\n current_language=lang,\n image_proxy=image_proxy,\n language_codes=language_codes,\n engines_by_category=categories,\n stats=stats,\n disabled_engines=disabled_engines,\n autocomplete_backends=autocomplete_backends,\n shortcuts={y: x for x, y in engine_shortcuts.items()},\n themes=themes,\n plugins=plugins,\n allowed_plugins=allowed_plugins,\n theme=get_current_theme_name())\n\n\[email protected]('/image_proxy', methods=['GET'])\ndef image_proxy():\n url = request.args.get('url').encode('utf-8')\n\n if not url:\n return '', 400\n\n h = hashlib.sha256(url + settings['server']['secret_key'].encode('utf-8')).hexdigest()\n\n if h != request.args.get('h'):\n return '', 400\n\n headers = dict_subset(request.headers, {'If-Modified-Since', 'If-None-Match'})\n headers['User-Agent'] = gen_useragent()\n\n resp = requests.get(url,\n stream=True,\n timeout=settings['outgoing']['request_timeout'],\n headers=headers,\n proxies=outgoing_proxies)\n\n if resp.status_code == 304:\n return '', resp.status_code\n\n if resp.status_code != 200:\n logger.debug('image-proxy: wrong response code: {0}'.format(resp.status_code))\n if resp.status_code >= 400:\n return '', resp.status_code\n return '', 400\n\n if not resp.headers.get('content-type', '').startswith('image/'):\n logger.debug('image-proxy: wrong content-type: {0}'.format(resp.headers.get('content-type')))\n return '', 400\n\n img = ''\n chunk_counter = 0\n\n for chunk in resp.iter_content(1024 * 1024):\n chunk_counter += 1\n if chunk_counter > 5:\n return '', 502 # Bad gateway - file is too big (>5M)\n img += chunk\n\n headers = dict_subset(resp.headers, {'Content-Length', 'Length', 'Date', 'Last-Modified', 'Expires', 'Etag'})\n\n return Response(img, mimetype=resp.headers['content-type'], headers=headers)\n\n\[email protected]('/stats', methods=['GET'])\ndef stats():\n \"\"\"Render engine statistics page.\"\"\"\n stats = get_engines_stats()\n return render(\n 'stats.html',\n stats=stats,\n )\n\n\[email protected]('/robots.txt', methods=['GET'])\ndef robots():\n return Response(\"\"\"User-agent: *\nAllow: /\nAllow: /about\nDisallow: /stats\nDisallow: /preferences\n\"\"\", mimetype='text/plain')\n\n\[email protected]('/opensearch.xml', methods=['GET'])\ndef opensearch():\n method = 'post'\n\n if request.preferences.get_value('method') == 'GET':\n method = 'get'\n\n # chrome/chromium only supports HTTP GET....\n if request.headers.get('User-Agent', '').lower().find('webkit') >= 0:\n method = 'get'\n\n ret = render('opensearch.xml',\n opensearch_method=method,\n host=get_base_url(),\n urljoin=urljoin)\n\n resp = Response(response=ret,\n status=200,\n mimetype=\"text/xml\")\n return resp\n\n\[email protected]('/favicon.ico')\ndef favicon():\n return send_from_directory(os.path.join(app.root_path,\n 'static/themes',\n get_current_theme_name(),\n 'img'),\n 'favicon.png',\n mimetype='image/vnd.microsoft.icon')\n\n\[email protected]('/clear_cookies')\ndef clear_cookies():\n resp = make_response(redirect(urljoin(settings['server']['base_url'], url_for('index'))))\n for cookie_name in request.cookies:\n resp.delete_cookie(cookie_name)\n return resp\n\n\[email protected]('/config')\ndef config():\n return jsonify({'categories': categories.keys(),\n 'engines': [{'name': engine_name,\n 'categories': engine.categories,\n 'shortcut': engine.shortcut,\n 'enabled': not engine.disabled}\n for engine_name, engine in engines.items()],\n 'plugins': [{'name': plugin.name,\n 'enabled': plugin.default_on}\n for plugin in plugins],\n 'instance_name': settings['general']['instance_name'],\n 'locales': settings['locales'],\n 'default_locale': settings['ui']['default_locale'],\n 'autocomplete': settings['search']['autocomplete'],\n 'safe_search': settings['search']['safe_search'],\n 'default_theme': settings['ui']['default_theme']})\n\n\[email protected](404)\ndef page_not_found(e):\n return render('404.html')\n\n\ndef run():\n app.run(\n debug=settings['general']['debug'],\n use_debugger=settings['general']['debug'],\n port=settings['server']['port'],\n host=settings['server']['bind_address']\n )\n\n\nclass ReverseProxyPathFix(object):\n '''Wrap the application in this middleware and configure the\n front-end server to add these headers, to let you quietly bind\n this to a URL other than / and to an HTTP scheme that is\n different than what is used locally.\n\n http://flask.pocoo.org/snippets/35/\n\n In nginx:\n location /myprefix {\n proxy_pass http://127.0.0.1:8000;\n proxy_set_header Host $host;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_set_header X-Scheme $scheme;\n proxy_set_header X-Script-Name /myprefix;\n }\n\n :param app: the WSGI application\n '''\n\n def __init__(self, app):\n self.app = app\n\n def __call__(self, environ, start_response):\n script_name = environ.get('HTTP_X_SCRIPT_NAME', '')\n if script_name:\n environ['SCRIPT_NAME'] = script_name\n path_info = environ['PATH_INFO']\n if path_info.startswith(script_name):\n environ['PATH_INFO'] = path_info[len(script_name):]\n\n scheme = environ.get('HTTP_X_SCHEME', '')\n if scheme:\n environ['wsgi.url_scheme'] = scheme\n return self.app(environ, start_response)\n\n\napplication = app\n# patch app to handle non root url-s behind proxy & wsgi\napp.wsgi_app = ReverseProxyPathFix(ProxyFix(application.wsgi_app))\n\nif __name__ == \"__main__\":\n run()\n", "path": "searx/webapp.py" } ]
diff --git a/searx/templates/courgette/404.html b/searx/templates/courgette/404.html new file mode 100644 index 0000000000..465039e3a1 --- /dev/null +++ b/searx/templates/courgette/404.html @@ -0,0 +1,7 @@ +{% extends "courgette/base.html" %} +{% block content %} +<div class="center"> + <h1>{{ _('Page not found') }}</h1> + <p>{{ _('Go to <a href="/">search page</a>.') }}</p> +</div> +{% endblock %} diff --git a/searx/templates/default/404.html b/searx/templates/default/404.html new file mode 100644 index 0000000000..18012f2ac0 --- /dev/null +++ b/searx/templates/default/404.html @@ -0,0 +1,7 @@ +{% extends "default/base.html" %} +{% block content %} +<div class="center"> + <h1>{{ _('Page not found') }}</h1> + <p>{{ _('Go to <a href="/">search page</a>.') }}</p> +</div> +{% endblock %} diff --git a/searx/templates/oscar/404.html b/searx/templates/oscar/404.html new file mode 100644 index 0000000000..39836ce0ec --- /dev/null +++ b/searx/templates/oscar/404.html @@ -0,0 +1,7 @@ +{% extends "oscar/base.html" %} +{% block content %} +<div class="text-center"> + <h1>{{ _('Page not found') }}</h1> + <p>{{ _('Go to <a href="/">search page</a>.') }}</p> +</div> +{% endblock %} diff --git a/searx/templates/pix-art/404.html b/searx/templates/pix-art/404.html new file mode 100644 index 0000000000..27e89ae029 --- /dev/null +++ b/searx/templates/pix-art/404.html @@ -0,0 +1,7 @@ +{% extends "pix-art/base.html" %} +{% block content %} +<div class="center"> + <h1>{{ _('Page not found') }}</h1> + <p>{{ _('Go to <a href="/">search page</a>.') }}</p> +</div> +{% endblock %} diff --git a/searx/webapp.py b/searx/webapp.py index 460681b354..e118fee2b4 100644 --- a/searx/webapp.py +++ b/searx/webapp.py @@ -715,6 +715,11 @@ def config(): 'default_theme': settings['ui']['default_theme']}) [email protected](404) +def page_not_found(e): + return render('404.html') + + def run(): app.run( debug=settings['general']['debug'], diff --git a/tests/robot/test_basic.robot b/tests/robot/test_basic.robot index 4a20d0ba2e..4f9b8ae05b 100644 --- a/tests/robot/test_basic.robot +++ b/tests/robot/test_basic.robot @@ -9,6 +9,11 @@ Front page Page Should Contain about Page Should Contain preferences +404 page + Go To http://localhost:11111/no-such-page + Page Should Contain Page not found + Page Should Contain Go to search page + About page Click Element link=about Page Should Contain Why use Searx?
custom error-sites We could support custom error sites inside the templates, to show for example 404-Errors in the design of the template instead of some naked text. (continuous design). But we have to be cautious with 5xx-Errors caused by template problems (fallback-solution, if the error-template is not working like expected)
Gallopsled__pwntools-232
[ { "content": "import sys\nfrom . import term, text, key\nfrom . import keymap as km\nfrom . import keyconsts as kc\ncursor = text.reverse\n\nbuffer_left, buffer_right = u'', u''\nsaved_buffer = None\nhistory = []\nhistory_idx = None\nprompt_handle = None\nbuffer_handle = None\nsuggest_handle = None\nsearch_idx = None\nsearch_results = []\nstartup_hook = None\nshutdown_hook = None\n\ndelims = ' /;:.\\\\'\n\nshow_completion = True\nshow_suggestions = False\n\ncomplete_hook = None\nsuggest_hook = None\n\ntabs = 0\n\ndef set_completer(completer):\n global complete_hook, suggest_hook\n if completer is None:\n complete_hook = None\n suggest_hook = None\n else:\n complete_hook = completer.complete\n suggest_hook = completer.suggest\n\ndef fmt_suggestions(suggestions):\n if suggestions:\n s = ''\n l = max(map(len, suggestions))\n columns = term.width // (l + 1)\n column_width = term.width // columns\n fmt = '%%-%ds' % column_width\n for j in range(0, len(suggestions), columns):\n for k in range(columns):\n l = j + k\n if l < len(suggestions):\n s += fmt % suggestions[l]\n s += '\\n'\n else:\n s = '\\n'\n return s\n\ndef auto_complete(*_):\n global show_suggestions, tabs\n if search_idx is not None:\n commit_search()\n tabs = 0\n elif tabs == 1:\n if complete_hook:\n ret = complete_hook(buffer_left, buffer_right)\n if ret:\n tabs = 0\n insert_text(ret)\n else:\n show_suggestions = not show_suggestions\n redisplay()\n\ndef handle_keypress(trace):\n global tabs\n k = trace[-1]\n if k == '<tab>':\n tabs += 1\n else:\n tabs = 0\n\ndef clear():\n global buffer_left, buffer_right, history_idx, search_idx\n buffer_left, buffer_right = u'', u''\n history_idx = None\n search_idx = None\n redisplay()\n\ndef redisplay():\n if buffer_handle:\n if show_suggestions and suggest_hook:\n suggestions = suggest_hook(buffer_left, buffer_right)\n if suggest_handle is None:\n h = prompt_handle or buffer_handle\n suggest_handle = term.output(before = h)\n s = fmt_suggestions(suggestions)\n suggest_handle.update(s)\n elif suggest_handle:\n suggest_handle.update('')\n if search_idx is None:\n s = None\n if buffer_right:\n s = buffer_left + cursor(buffer_right[0]) + buffer_right[1:]\n elif show_completion and complete_hook:\n ret = complete_hook(buffer_left, buffer_right)\n if ret:\n s = buffer_left + \\\n text.underline(cursor(ret[0])) + \\\n text.underline(ret[1:])\n s = s or buffer_left + cursor(' ')\n buffer_handle.update(s)\n else:\n if search_results != []:\n idx, i, j = search_results[search_idx]\n buf = history[idx]\n a, b, c = buf[:i], buf[i:j], buf[j:]\n s = a + text.bold_green(b) + c\n else:\n s = text.white_on_red(buffer_left)\n buffer_handle.update('(search) ' + s)\n\ndef self_insert(trace):\n if len(trace) != 1:\n return\n k = trace[0]\n if k.type == kc.TYPE_UNICODE and k.mods == kc.MOD_NONE:\n insert_text(k.code)\n\ndef set_buffer(left, right):\n global buffer_left, buffer_right\n buffer_left = unicode(left)\n buffer_right = unicode(right)\n redisplay()\n\ndef cancel_search(*_):\n global search_idx\n if search_idx is not None:\n search_idx = None\n redisplay()\n\ndef commit_search():\n global search_idx\n if search_idx is not None:\n set_buffer(history[search_results[search_idx][0]], u'')\n search_idx = None\n redisplay()\n\ndef update_search_results():\n global search_results, search_idx, show_suggestions\n if search_idx is None:\n return\n show_suggestions = False\n if search_results:\n hidx = search_results[search_idx][0]\n else:\n hidx = None\n search_results = []\n search_idx = 0\n if not buffer_left:\n return\n for idx, h in enumerate(history):\n for i in range(0, len(h) - len(buffer_left) + 1):\n if h[i:i + len(buffer_left)] == buffer_left:\n if hidx is not None and idx == hidx:\n search_idx = len(search_results)\n search_results.append((idx, i, i + len(buffer_left)))\n break\n\ndef search_history(*_):\n global buffer_left, buffer_right, history_idx, search_idx\n if search_idx is None:\n buffer_left, buffer_right = buffer_left + buffer_right, u''\n history_idx = None\n search_idx = 0\n update_search_results()\n elif search_results:\n search_idx = (search_idx + 1) % len(search_results)\n redisplay()\n\ndef history_prev(*_):\n global history_idx, saved_buffer\n if history == []:\n return\n cancel_search()\n if history_idx is None:\n saved_buffer = (buffer_left, buffer_right)\n history_idx = -1\n if history_idx < len(history) - 1:\n history_idx += 1\n set_buffer(history[history_idx], u'')\n\ndef history_next(*_):\n global history_idx, saved_buffer\n if history_idx is None:\n return\n cancel_search()\n if history_idx == 0:\n set_buffer(*saved_buffer)\n history_idx = None\n saved_buffer = None\n else:\n history_idx -= 1\n set_buffer(history[history_idx], u'')\n\ndef backward_char(*_):\n global buffer_left, buffer_right\n commit_search()\n if buffer_left:\n buffer_right = buffer_left[-1] + buffer_right\n buffer_left = buffer_left[:-1]\n redisplay()\n\ndef forward_char(*_):\n global buffer_left, buffer_right\n commit_search()\n if buffer_right:\n buffer_left += buffer_right[0]\n buffer_right = buffer_right[1:]\n redisplay()\n\ndef insert_text(s):\n global history_idx, saved_buffer, buffer_left\n if history_idx is not None:\n history_idx = None\n saved_buffer = None\n buffer_left += s\n update_search_results()\n redisplay()\n\ndef submit(*_):\n if search_idx is not None:\n commit_search()\n else:\n keymap.stop()\n\ndef control_c(*_):\n global history_idx, saved_buffer\n if search_idx is not None:\n cancel_search()\n elif history_idx is not None:\n set_buffer(*saved_buffer)\n history_idx = None\n saved_buffer = None\n elif buffer_left or buffer_right:\n clear()\n else:\n raise KeyboardInterrupt\n\ndef control_d(*_):\n if buffer_left or buffer_right:\n return\n global eof\n eof = True\n keymap.stop()\n\ndef kill_to_end(*_):\n global buffer_right\n commit_search()\n buffer_right = []\n redisplay()\n\ndef delete_char_forward(*_):\n global buffer_right\n commit_search()\n if buffer_right:\n buffer_right = buffer_right[1:]\n redisplay()\n\ndef delete_char_backward(*_):\n global buffer_left\n if buffer_left:\n buffer_left = buffer_left[:-1]\n update_search_results()\n redisplay()\n\ndef kill_word_backward(*_):\n global buffer_left\n commit_search()\n flag = False\n while buffer_left:\n c = buffer_left[-1]\n if c[0] in delims:\n if flag:\n break\n else:\n flag = True\n buffer_left = buffer_left[:-1]\n redisplay()\n\ndef backward_word(*_):\n global buffer_left, buffer_right\n commit_search()\n flag = False\n while buffer_left:\n c = buffer_left[-1]\n if c[0] in delims:\n if flag:\n break\n else:\n flag = True\n buffer_right = buffer_left[-1] + buffer_right\n buffer_left = buffer_left[:-1]\n redisplay()\n\ndef forward_word(*_):\n global buffer_left, buffer_right\n commit_search()\n flag = False\n while buffer_right:\n c = buffer_right[0]\n if c[0] in delims:\n if flag:\n break\n else:\n flag = True\n buffer_left += buffer_right[0]\n buffer_right = buffer_right[1:]\n redisplay()\n\ndef go_beginning(*_):\n commit_search()\n set_buffer(u'', buffer_left + buffer_right)\n\ndef go_end(*_):\n commit_search()\n set_buffer(buffer_left + buffer_right, u'')\n\nkeymap = km.Keymap({\n '<nomatch>' : self_insert,\n '<up>' : history_prev,\n '<down>' : history_next,\n '<left>' : backward_char,\n '<right>' : forward_char,\n '<del>' : delete_char_backward,\n '<delete>' : delete_char_forward,\n '<enter>' : submit,\n 'C-<left>' : backward_word,\n 'C-<right>' : forward_word,\n 'M-<left>' : backward_word,\n 'M-<right>' : forward_word,\n 'C-c' : control_c,\n 'C-d' : control_d,\n 'C-k' : kill_to_end,\n 'C-w' : kill_word_backward,\n '<backspace>' : kill_word_backward,\n 'M-<del>' : kill_word_backward,\n 'C-r' : search_history,\n '<escape>' : cancel_search,\n 'C-a' : go_beginning,\n 'C-e' : go_end,\n '<tab>' : auto_complete,\n '<any>' : handle_keypress,\n })\n\ndef readline(_size = None, prompt = '', float = False, priority = 10):\n # The argument _size is unused, but is there for compatibility\n # with the existing readline\n\n global buffer_handle, prompt_handle, suggest_handle, eof, \\\n show_suggestions\n\n show_suggestions = False\n eof = False\n if prompt:\n prompt_handle = term.output(prompt, float = float, priority = priority)\n else:\n prompt_handle = None\n buffer_handle = term.output(float = float, priority = priority)\n suggest_handle = None\n clear()\n if startup_hook:\n startup_hook()\n try:\n while True:\n try:\n keymap.handle_input()\n if eof:\n return ''\n else:\n buffer = buffer_left + buffer_right\n if buffer:\n history.insert(0, buffer)\n return buffer + '\\n'\n except KeyboardInterrupt:\n control_c()\n finally:\n line = buffer_left + buffer_right + '\\n'\n buffer_handle.update(line)\n buffer_handle.freeze()\n buffer_handle = None\n if prompt_handle:\n prompt_handle.freeze()\n prompt_handle = None\n if suggest_handle:\n suggest_handle.freeze()\n suggest_handle = None\n if shutdown_hook:\n shutdown_hook()\n\nclass Wrapper:\n def __init__(self, fd):\n self._fd = fd\n def readline(self, size = None):\n return readline(size)\n def __getattr__(self, k):\n return self._fd.__getattribute__(k)\n\ndef init():\n sys.stdin = Wrapper(sys.stdin)\n", "path": "pwnlib/term/readline.py" } ]
[ { "content": "import sys\nfrom . import term, text, key\nfrom . import keymap as km\nfrom . import keyconsts as kc\ncursor = text.reverse\n\nbuffer_left, buffer_right = u'', u''\nsaved_buffer = None\nhistory = []\nhistory_idx = None\nprompt_handle = None\nbuffer_handle = None\nsuggest_handle = None\nsearch_idx = None\nsearch_results = []\nstartup_hook = None\nshutdown_hook = None\n\ndelims = ' /;:.\\\\'\n\nshow_completion = True\nshow_suggestions = False\n\ncomplete_hook = None\nsuggest_hook = None\n\ntabs = 0\n\ndef set_completer(completer):\n global complete_hook, suggest_hook\n if completer is None:\n complete_hook = None\n suggest_hook = None\n else:\n complete_hook = completer.complete\n suggest_hook = completer.suggest\n\ndef fmt_suggestions(suggestions):\n if suggestions:\n s = ''\n l = max(map(len, suggestions))\n columns = term.width // (l + 1)\n column_width = term.width // columns\n fmt = '%%-%ds' % column_width\n for j in range(0, len(suggestions), columns):\n for k in range(columns):\n l = j + k\n if l < len(suggestions):\n s += fmt % suggestions[l]\n s += '\\n'\n else:\n s = '\\n'\n return s\n\ndef auto_complete(*_):\n global show_suggestions, tabs\n if search_idx is not None:\n commit_search()\n tabs = 0\n elif tabs == 1:\n if complete_hook:\n ret = complete_hook(buffer_left, buffer_right)\n if ret:\n tabs = 0\n insert_text(ret)\n else:\n show_suggestions = not show_suggestions\n redisplay()\n\ndef handle_keypress(trace):\n global tabs\n k = trace[-1]\n if k == '<tab>':\n tabs += 1\n else:\n tabs = 0\n\ndef clear():\n global buffer_left, buffer_right, history_idx, search_idx\n buffer_left, buffer_right = u'', u''\n history_idx = None\n search_idx = None\n redisplay()\n\ndef redisplay():\n global suggest_handle\n if buffer_handle:\n if show_suggestions and suggest_hook:\n suggestions = suggest_hook(buffer_left, buffer_right)\n if suggest_handle is None:\n h = prompt_handle or buffer_handle\n suggest_handle = term.output(before = h)\n s = fmt_suggestions(suggestions)\n suggest_handle.update(s)\n elif suggest_handle:\n suggest_handle.update('')\n if search_idx is None:\n s = None\n if buffer_right:\n s = buffer_left + cursor(buffer_right[0]) + buffer_right[1:]\n elif show_completion and complete_hook:\n ret = complete_hook(buffer_left, buffer_right)\n if ret:\n s = buffer_left + \\\n text.underline(cursor(ret[0])) + \\\n text.underline(ret[1:])\n s = s or buffer_left + cursor(' ')\n buffer_handle.update(s)\n else:\n if search_results != []:\n idx, i, j = search_results[search_idx]\n buf = history[idx]\n a, b, c = buf[:i], buf[i:j], buf[j:]\n s = a + text.bold_green(b) + c\n else:\n s = text.white_on_red(buffer_left)\n buffer_handle.update('(search) ' + s)\n\ndef self_insert(trace):\n if len(trace) != 1:\n return\n k = trace[0]\n if k.type == kc.TYPE_UNICODE and k.mods == kc.MOD_NONE:\n insert_text(k.code)\n\ndef set_buffer(left, right):\n global buffer_left, buffer_right\n buffer_left = unicode(left)\n buffer_right = unicode(right)\n redisplay()\n\ndef cancel_search(*_):\n global search_idx\n if search_idx is not None:\n search_idx = None\n redisplay()\n\ndef commit_search():\n global search_idx\n if search_idx is not None:\n set_buffer(history[search_results[search_idx][0]], u'')\n search_idx = None\n redisplay()\n\ndef update_search_results():\n global search_results, search_idx, show_suggestions\n if search_idx is None:\n return\n show_suggestions = False\n if search_results:\n hidx = search_results[search_idx][0]\n else:\n hidx = None\n search_results = []\n search_idx = 0\n if not buffer_left:\n return\n for idx, h in enumerate(history):\n for i in range(0, len(h) - len(buffer_left) + 1):\n if h[i:i + len(buffer_left)] == buffer_left:\n if hidx is not None and idx == hidx:\n search_idx = len(search_results)\n search_results.append((idx, i, i + len(buffer_left)))\n break\n\ndef search_history(*_):\n global buffer_left, buffer_right, history_idx, search_idx\n if search_idx is None:\n buffer_left, buffer_right = buffer_left + buffer_right, u''\n history_idx = None\n search_idx = 0\n update_search_results()\n elif search_results:\n search_idx = (search_idx + 1) % len(search_results)\n redisplay()\n\ndef history_prev(*_):\n global history_idx, saved_buffer\n if history == []:\n return\n cancel_search()\n if history_idx is None:\n saved_buffer = (buffer_left, buffer_right)\n history_idx = -1\n if history_idx < len(history) - 1:\n history_idx += 1\n set_buffer(history[history_idx], u'')\n\ndef history_next(*_):\n global history_idx, saved_buffer\n if history_idx is None:\n return\n cancel_search()\n if history_idx == 0:\n set_buffer(*saved_buffer)\n history_idx = None\n saved_buffer = None\n else:\n history_idx -= 1\n set_buffer(history[history_idx], u'')\n\ndef backward_char(*_):\n global buffer_left, buffer_right\n commit_search()\n if buffer_left:\n buffer_right = buffer_left[-1] + buffer_right\n buffer_left = buffer_left[:-1]\n redisplay()\n\ndef forward_char(*_):\n global buffer_left, buffer_right\n commit_search()\n if buffer_right:\n buffer_left += buffer_right[0]\n buffer_right = buffer_right[1:]\n redisplay()\n\ndef insert_text(s):\n global history_idx, saved_buffer, buffer_left\n if history_idx is not None:\n history_idx = None\n saved_buffer = None\n buffer_left += s\n update_search_results()\n redisplay()\n\ndef submit(*_):\n if search_idx is not None:\n commit_search()\n else:\n keymap.stop()\n\ndef control_c(*_):\n global history_idx, saved_buffer\n if search_idx is not None:\n cancel_search()\n elif history_idx is not None:\n set_buffer(*saved_buffer)\n history_idx = None\n saved_buffer = None\n elif buffer_left or buffer_right:\n clear()\n else:\n raise KeyboardInterrupt\n\ndef control_d(*_):\n if buffer_left or buffer_right:\n return\n global eof\n eof = True\n keymap.stop()\n\ndef kill_to_end(*_):\n global buffer_right\n commit_search()\n buffer_right = []\n redisplay()\n\ndef delete_char_forward(*_):\n global buffer_right\n commit_search()\n if buffer_right:\n buffer_right = buffer_right[1:]\n redisplay()\n\ndef delete_char_backward(*_):\n global buffer_left\n if buffer_left:\n buffer_left = buffer_left[:-1]\n update_search_results()\n redisplay()\n\ndef kill_word_backward(*_):\n global buffer_left\n commit_search()\n flag = False\n while buffer_left:\n c = buffer_left[-1]\n if c[0] in delims:\n if flag:\n break\n else:\n flag = True\n buffer_left = buffer_left[:-1]\n redisplay()\n\ndef backward_word(*_):\n global buffer_left, buffer_right\n commit_search()\n flag = False\n while buffer_left:\n c = buffer_left[-1]\n if c[0] in delims:\n if flag:\n break\n else:\n flag = True\n buffer_right = buffer_left[-1] + buffer_right\n buffer_left = buffer_left[:-1]\n redisplay()\n\ndef forward_word(*_):\n global buffer_left, buffer_right\n commit_search()\n flag = False\n while buffer_right:\n c = buffer_right[0]\n if c[0] in delims:\n if flag:\n break\n else:\n flag = True\n buffer_left += buffer_right[0]\n buffer_right = buffer_right[1:]\n redisplay()\n\ndef go_beginning(*_):\n commit_search()\n set_buffer(u'', buffer_left + buffer_right)\n\ndef go_end(*_):\n commit_search()\n set_buffer(buffer_left + buffer_right, u'')\n\nkeymap = km.Keymap({\n '<nomatch>' : self_insert,\n '<up>' : history_prev,\n '<down>' : history_next,\n '<left>' : backward_char,\n '<right>' : forward_char,\n '<del>' : delete_char_backward,\n '<delete>' : delete_char_forward,\n '<enter>' : submit,\n 'C-<left>' : backward_word,\n 'C-<right>' : forward_word,\n 'M-<left>' : backward_word,\n 'M-<right>' : forward_word,\n 'C-c' : control_c,\n 'C-d' : control_d,\n 'C-k' : kill_to_end,\n 'C-w' : kill_word_backward,\n '<backspace>' : kill_word_backward,\n 'M-<del>' : kill_word_backward,\n 'C-r' : search_history,\n '<escape>' : cancel_search,\n 'C-a' : go_beginning,\n 'C-e' : go_end,\n '<tab>' : auto_complete,\n '<any>' : handle_keypress,\n })\n\ndef readline(_size = None, prompt = '', float = False, priority = 10):\n # The argument _size is unused, but is there for compatibility\n # with the existing readline\n\n global buffer_handle, prompt_handle, suggest_handle, eof, \\\n show_suggestions\n\n show_suggestions = False\n eof = False\n if prompt:\n prompt_handle = term.output(prompt, float = float, priority = priority)\n else:\n prompt_handle = None\n buffer_handle = term.output(float = float, priority = priority)\n suggest_handle = None\n clear()\n if startup_hook:\n startup_hook()\n try:\n while True:\n try:\n keymap.handle_input()\n if eof:\n return ''\n else:\n buffer = buffer_left + buffer_right\n if buffer:\n history.insert(0, buffer)\n return buffer + '\\n'\n except KeyboardInterrupt:\n control_c()\n finally:\n line = buffer_left + buffer_right + '\\n'\n buffer_handle.update(line)\n buffer_handle.freeze()\n buffer_handle = None\n if prompt_handle:\n prompt_handle.freeze()\n prompt_handle = None\n if suggest_handle:\n suggest_handle.freeze()\n suggest_handle = None\n if shutdown_hook:\n shutdown_hook()\n\nclass Wrapper:\n def __init__(self, fd):\n self._fd = fd\n def readline(self, size = None):\n return readline(size)\n def __getattr__(self, k):\n return self._fd.__getattribute__(k)\n\ndef init():\n sys.stdin = Wrapper(sys.stdin)\n", "path": "pwnlib/term/readline.py" } ]
diff --git a/pwnlib/term/readline.py b/pwnlib/term/readline.py index 0e224e108..a6b55f21f 100644 --- a/pwnlib/term/readline.py +++ b/pwnlib/term/readline.py @@ -83,6 +83,7 @@ def clear(): redisplay() def redisplay(): + global suggest_handle if buffer_handle: if show_suggestions and suggest_hook: suggestions = suggest_hook(buffer_left, buffer_right)
Our readline implementation is broken The current readline implementation (which replaces `raw_input()`) is broken. I'm not sure how it has been working before. The implementation shows a lot of signs of being POC code and should probably be rewritten along with `pwnlib/term/term.py` at some point. But the current issue should be fixed right away.
chainer__chainer-410
[ { "content": "import atexit\nimport binascii\nimport collections\nimport os\nimport time\n\nimport numpy\n\nimport cupy\nfrom cupy import cuda\nfrom cupy.cuda import curand\nfrom cupy import elementwise\n\n\nclass RandomState(object):\n\n \"\"\"Portable container of a pseudo-random number generator.\n\n An instance of this class holds the state of a random number generator. The\n state is available only on the device which has been current at the\n initialization of the instance.\n\n Functions of :mod:`cupy.random` use global instances of this class.\n Different instances are used for different devices. The global state for\n the current device can be obtained by the\n :func:`cupy.random.get_random_state` function.\n\n Args:\n seed (None or int): Seed of the random number generator. See the\n :meth:`~cupy.random.RandomState.seed` method for detail.\n method (int): Method of the random number generator. Following values\n are available::\n\n cupy.cuda.curand.CURAND_RNG_PSEUDO_DEFAULT\n cupy.cuda.curand.CURAND_RNG_XORWOW\n cupy.cuda.curand.CURAND_RNG_MRG32K3A\n cupy.cuda.curand.CURAND_RNG_MTGP32\n cupy.cuda.curand.CURAND_RNG_MT19937\n cupy.cuda.curand.CURAND_RNG_PHILOX4_32_10\n\n \"\"\"\n def __init__(self, seed=None, method=curand.CURAND_RNG_PSEUDO_DEFAULT):\n self._generator = curand.createGenerator(method)\n self.seed(seed)\n\n def __del__(self):\n curand.destroyGenerator(self._generator)\n\n def set_stream(self, stream=None):\n if stream is None:\n stream = cuda.Stream()\n curand.setStream(self._generator, stream.ptr)\n\n # NumPy compatible functions\n\n def lognormal(self, mean=0.0, sigma=1.0, size=None, dtype=float):\n \"\"\"Returns an array of samples drawn from a log normal distribution.\n\n .. seealso::\n :func:`cupy.random.lognormal` for full documentation,\n :meth:`numpy.random.RandomState.lognormal`\n\n \"\"\"\n dtype = _check_and_get_dtype(dtype)\n size = _get_size(size)\n out = cupy.empty(size, dtype=dtype)\n if dtype.char == 'f':\n func = curand.generateLogNormal\n else:\n func = curand.generateLogNormalDouble\n func(self._generator, out.data.ptr, out.size, mean, sigma)\n return out\n\n def normal(self, loc=0.0, scale=1.0, size=None, dtype=float):\n \"\"\"Returns an array of normally distributed samples.\n\n .. seealso::\n :func:`cupy.random.normal` for full documentation,\n :meth:`numpy.random.RandomState.normal`\n\n \"\"\"\n dtype = _check_and_get_dtype(dtype)\n size = _get_size(size)\n out = cupy.empty(size, dtype=dtype)\n if dtype.char == 'f':\n func = curand.generateNormal\n else:\n func = curand.generateNormalDouble\n func(self._generator, out.data.ptr, out.size, loc, scale)\n return out\n\n def rand(self, *size, **kwarg):\n \"\"\"Returns uniform random values over the interval ``[0, 1)``.\n\n .. seealso::\n :func:`cupy.random.rand` for full documentation,\n :meth:`numpy.random.RandomState.rand`\n\n \"\"\"\n dtype = kwarg.pop('dtype', float)\n if kwarg:\n raise TypeError('rand() got unexpected keyword arguments %s'\n % ', '.join(kwarg.keys()))\n return self.random_sample(size=size, dtype=dtype)\n\n def randn(self, *size, **kwarg):\n \"\"\"Returns an array of standand normal random values.\n\n .. seealso::\n :func:`cupy.random.randn` for full documentation,\n :meth:`numpy.random.RandomState.randn`\n\n \"\"\"\n dtype = kwarg.pop('dtype', float)\n if kwarg:\n raise TypeError('randn() got unexpected keyword arguments %s'\n % ', '.join(kwarg.keys()))\n return self.normal(size=size, dtype=dtype)\n\n _1m_kernel = elementwise.ElementwiseKernel(\n '', 'T x', 'x = 1 - x', 'cupy_random_1_minus_x')\n\n def random_sample(self, size=None, dtype=float):\n \"\"\"Returns an array of random values over the interval ``[0, 1)``.\n\n .. seealso::\n :func:`cupy.random.random_sample` for full documentation,\n :meth:`numpy.random.RandomState.random_sample`\n\n \"\"\"\n dtype = _check_and_get_dtype(dtype)\n size = _get_size(size)\n out = cupy.empty(size, dtype=dtype)\n if dtype.char == 'f':\n func = curand.generateUniform\n else:\n func = curand.generateUniformDouble\n func(self._generator, out.data.ptr, out.size)\n RandomState._1m_kernel(out)\n return out\n\n def seed(self, seed=None):\n \"\"\"Resets the state of the random number generator with a seed.\n\n ..seealso::\n :func:`cupy.random.seed` for full documentation,\n :meth:`numpy.random.RandomState.seed`\n\n \"\"\"\n if seed is None:\n try:\n seed_str = binascii.hexlify(os.urandom(8))\n seed = numpy.uint64(int(seed_str, 16))\n except NotImplementedError:\n seed = numpy.uint64(time.clock() * 1000000)\n else:\n seed = numpy.uint64(seed)\n\n curand.setPseudoRandomGeneratorSeed(self._generator, seed)\n\n def standard_normal(self, size=None, dtype=float):\n \"\"\"Returns samples drawn from the standard normal distribution.\n\n .. seealso::\n :func:`cupy.random.standard_normal` for full documentation,\n :meth:`numpy.random.RandomState.standard_normal`\n\n \"\"\"\n return self.normal(size=size, dtype=dtype)\n\n def uniform(self, low=0.0, high=1.0, size=None, dtype=float):\n \"\"\"Returns an array of uniformlly-distributed samples over an interval.\n\n .. seealso::\n :func:`cupy.random.uniform` for full documentation,\n :meth:`numpy.random.RandomState.uniform`\n\n \"\"\"\n dtype = numpy.dtype(dtype)\n size = _get_size(size)\n rand = self.random_sample(size=size, dtype=dtype)\n return dtype.type(low) + rand * dtype.type(high - low)\n\n\ndef seed(seed=None):\n \"\"\"Resets the state of the random number generator with a seed.\n\n This function resets the state of the global random number generator for\n the current device. Be careful that generators for other devices are not\n affected.\n\n Args:\n seed (None or int): Seed for the random number generator. If None, it\n uses :func:`os.urandom` if available or :func:`time.clock`\n otherwise. Note that this function does not support seeding by an\n integer array.\n\n \"\"\"\n get_random_state().seed(seed)\n\n\n# CuPy specific functions\n\n_random_states = {}\n\n\[email protected]\ndef reset_states():\n global _random_states\n _random_states = {}\n\n\ndef get_random_state():\n \"\"\"Gets the state of the random number generator for the current device.\n\n If the state for the current device is not created yet, this function\n creates a new one, initializes it, and stores it as the state for the\n current device.\n\n Returns:\n RandomState: The state of the random number generator for the\n device.\n\n \"\"\"\n global _random_states\n dev = cuda.Device()\n rs = _random_states.get(dev.id, None)\n if rs is None:\n rs = RandomState()\n _random_states[dev.id] = rs\n return rs\n\n\ndef _get_size(size):\n if size is None:\n return ()\n elif isinstance(size, collections.Sequence):\n return tuple(size)\n elif isinstance(size, int):\n return size,\n else:\n raise ValueError('size should be None, collections.Sequence, or int')\n\n\ndef _check_and_get_dtype(dtype):\n dtype = numpy.dtype(dtype)\n if dtype.char not in ('f', 'd'):\n raise TypeError('cupy.random only supports float32 and float64')\n return dtype\n", "path": "cupy/random/generator.py" } ]
[ { "content": "import atexit\nimport binascii\nimport collections\nimport os\nimport time\n\nimport numpy\n\nimport cupy\nfrom cupy import cuda\nfrom cupy.cuda import curand\nfrom cupy import elementwise\n\n\nclass RandomState(object):\n\n \"\"\"Portable container of a pseudo-random number generator.\n\n An instance of this class holds the state of a random number generator. The\n state is available only on the device which has been current at the\n initialization of the instance.\n\n Functions of :mod:`cupy.random` use global instances of this class.\n Different instances are used for different devices. The global state for\n the current device can be obtained by the\n :func:`cupy.random.get_random_state` function.\n\n Args:\n seed (None or int): Seed of the random number generator. See the\n :meth:`~cupy.random.RandomState.seed` method for detail.\n method (int): Method of the random number generator. Following values\n are available::\n\n cupy.cuda.curand.CURAND_RNG_PSEUDO_DEFAULT\n cupy.cuda.curand.CURAND_RNG_XORWOW\n cupy.cuda.curand.CURAND_RNG_MRG32K3A\n cupy.cuda.curand.CURAND_RNG_MTGP32\n cupy.cuda.curand.CURAND_RNG_MT19937\n cupy.cuda.curand.CURAND_RNG_PHILOX4_32_10\n\n \"\"\"\n def __init__(self, seed=None, method=curand.CURAND_RNG_PSEUDO_DEFAULT):\n self._generator = curand.createGenerator(method)\n self.seed(seed)\n\n def __del__(self):\n curand.destroyGenerator(self._generator)\n\n def set_stream(self, stream=None):\n if stream is None:\n stream = cuda.Stream()\n curand.setStream(self._generator, stream.ptr)\n\n # NumPy compatible functions\n\n def lognormal(self, mean=0.0, sigma=1.0, size=None, dtype=float):\n \"\"\"Returns an array of samples drawn from a log normal distribution.\n\n .. seealso::\n :func:`cupy.random.lognormal` for full documentation,\n :meth:`numpy.random.RandomState.lognormal`\n\n \"\"\"\n dtype = _check_and_get_dtype(dtype)\n size = _get_size(size)\n out = cupy.empty(size, dtype=dtype)\n if dtype.char == 'f':\n func = curand.generateLogNormal\n else:\n func = curand.generateLogNormalDouble\n func(self._generator, out.data.ptr, out.size, mean, sigma)\n return out\n\n def normal(self, loc=0.0, scale=1.0, size=None, dtype=float):\n \"\"\"Returns an array of normally distributed samples.\n\n .. seealso::\n :func:`cupy.random.normal` for full documentation,\n :meth:`numpy.random.RandomState.normal`\n\n \"\"\"\n dtype = _check_and_get_dtype(dtype)\n size = _get_size(size)\n out = cupy.empty(size, dtype=dtype)\n if dtype.char == 'f':\n func = curand.generateNormal\n else:\n func = curand.generateNormalDouble\n func(self._generator, out.data.ptr, out.size, loc, scale)\n return out\n\n def rand(self, *size, **kwarg):\n \"\"\"Returns uniform random values over the interval ``[0, 1)``.\n\n .. seealso::\n :func:`cupy.random.rand` for full documentation,\n :meth:`numpy.random.RandomState.rand`\n\n \"\"\"\n dtype = kwarg.pop('dtype', float)\n if kwarg:\n raise TypeError('rand() got unexpected keyword arguments %s'\n % ', '.join(kwarg.keys()))\n return self.random_sample(size=size, dtype=dtype)\n\n def randn(self, *size, **kwarg):\n \"\"\"Returns an array of standand normal random values.\n\n .. seealso::\n :func:`cupy.random.randn` for full documentation,\n :meth:`numpy.random.RandomState.randn`\n\n \"\"\"\n dtype = kwarg.pop('dtype', float)\n if kwarg:\n raise TypeError('randn() got unexpected keyword arguments %s'\n % ', '.join(kwarg.keys()))\n return self.normal(size=size, dtype=dtype)\n\n _1m_kernel = elementwise.ElementwiseKernel(\n '', 'T x', 'x = 1 - x', 'cupy_random_1_minus_x')\n\n def random_sample(self, size=None, dtype=float):\n \"\"\"Returns an array of random values over the interval ``[0, 1)``.\n\n .. seealso::\n :func:`cupy.random.random_sample` for full documentation,\n :meth:`numpy.random.RandomState.random_sample`\n\n \"\"\"\n dtype = _check_and_get_dtype(dtype)\n size = _get_size(size)\n out = cupy.empty(size, dtype=dtype)\n if dtype.char == 'f':\n func = curand.generateUniform\n else:\n func = curand.generateUniformDouble\n func(self._generator, out.data.ptr, out.size)\n RandomState._1m_kernel(out)\n return out\n\n def seed(self, seed=None):\n \"\"\"Resets the state of the random number generator with a seed.\n\n ..seealso::\n :func:`cupy.random.seed` for full documentation,\n :meth:`numpy.random.RandomState.seed`\n\n \"\"\"\n if seed is None:\n try:\n seed_str = binascii.hexlify(os.urandom(8))\n seed = numpy.uint64(int(seed_str, 16))\n except NotImplementedError:\n seed = numpy.uint64(time.clock() * 1000000)\n else:\n seed = numpy.uint64(seed)\n\n curand.setPseudoRandomGeneratorSeed(self._generator, seed)\n\n def standard_normal(self, size=None, dtype=float):\n \"\"\"Returns samples drawn from the standard normal distribution.\n\n .. seealso::\n :func:`cupy.random.standard_normal` for full documentation,\n :meth:`numpy.random.RandomState.standard_normal`\n\n \"\"\"\n return self.normal(size=size, dtype=dtype)\n\n def uniform(self, low=0.0, high=1.0, size=None, dtype=float):\n \"\"\"Returns an array of uniformlly-distributed samples over an interval.\n\n .. seealso::\n :func:`cupy.random.uniform` for full documentation,\n :meth:`numpy.random.RandomState.uniform`\n\n \"\"\"\n dtype = numpy.dtype(dtype)\n size = _get_size(size)\n rand = self.random_sample(size=size, dtype=dtype)\n return dtype.type(low) + rand * dtype.type(high - low)\n\n\ndef seed(seed=None):\n \"\"\"Resets the state of the random number generator with a seed.\n\n This function resets the state of the global random number generator for\n the current device. Be careful that generators for other devices are not\n affected.\n\n Args:\n seed (None or int): Seed for the random number generator. If None, it\n uses :func:`os.urandom` if available or :func:`time.clock`\n otherwise. Note that this function does not support seeding by an\n integer array.\n\n \"\"\"\n get_random_state().seed(seed)\n\n\n# CuPy specific functions\n\n_random_states = {}\n\n\[email protected]\ndef reset_states():\n global _random_states\n _random_states = {}\n\n\ndef get_random_state():\n \"\"\"Gets the state of the random number generator for the current device.\n\n If the state for the current device is not created yet, this function\n creates a new one, initializes it, and stores it as the state for the\n current device.\n\n Returns:\n RandomState: The state of the random number generator for the\n device.\n\n \"\"\"\n global _random_states\n dev = cuda.Device()\n rs = _random_states.get(dev.id, None)\n if rs is None:\n rs = RandomState(os.getenv('CHAINER_SEED'))\n _random_states[dev.id] = rs\n return rs\n\n\ndef _get_size(size):\n if size is None:\n return ()\n elif isinstance(size, collections.Sequence):\n return tuple(size)\n elif isinstance(size, int):\n return size,\n else:\n raise ValueError('size should be None, collections.Sequence, or int')\n\n\ndef _check_and_get_dtype(dtype):\n dtype = numpy.dtype(dtype)\n if dtype.char not in ('f', 'd'):\n raise TypeError('cupy.random only supports float32 and float64')\n return dtype\n", "path": "cupy/random/generator.py" } ]
diff --git a/cupy/random/generator.py b/cupy/random/generator.py index 617205c70bc4..fc419de63f29 100644 --- a/cupy/random/generator.py +++ b/cupy/random/generator.py @@ -226,7 +226,7 @@ def get_random_state(): dev = cuda.Device() rs = _random_states.get(dev.id, None) if rs is None: - rs = RandomState() + rs = RandomState(os.getenv('CHAINER_SEED')) _random_states[dev.id] = rs return rs diff --git a/tests/cupy_tests/random_tests/test_generator.py b/tests/cupy_tests/random_tests/test_generator.py index ff8ae1ae04d1..e38e0b061da0 100644 --- a/tests/cupy_tests/random_tests/test_generator.py +++ b/tests/cupy_tests/random_tests/test_generator.py @@ -1,4 +1,5 @@ import mock +import os import unittest import numpy @@ -144,6 +145,10 @@ class TestGetRandomState(unittest.TestCase): def setUp(self): self.device_id = cuda.Device().id + self.rs_tmp = generator._random_states + + def tearDown(self, *args): + generator._random_states = self.rs_tmp def test_get_random_state_initialize(self): generator._random_states = {} @@ -159,6 +164,30 @@ def test_get_random_state_memoized(self): self.assertEqual('expected', rs) [email protected] +class TestGetRandomState2(unittest.TestCase): + + def setUp(self): + self.rs_tmp = generator.RandomState + generator.RandomState = mock.Mock() + self.rs_dict = generator._random_states + generator._random_states = {} + + def tearDown(self, *args): + generator.RandomState = self.rs_tmp + generator._random_states = self.rs_dict + + def test_get_random_state_no_chainer_seed(self): + os.unsetenv('CHAINER_SEED') + generator.get_random_state() + generator.RandomState.assert_called_with(None) + + def test_get_random_state_with_chainer_seed(self): + os.environ['CHAINER_SEED'] = '1' + generator.get_random_state() + generator.RandomState.assert_called_with('1') + + class TestGetSize(unittest.TestCase): def test_none(self):
Seed cannot be fixed via an environment variable Past version of Chainer supported the CHAINER_SEED environment variable, which is (maybe accidentally) missed in v1.3.0.
facebookresearch__hydra-1960
[ { "content": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# type: ignore\nfrom pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n name=\"hydra-optuna-sweeper\",\n version=read_version(\"hydra_plugins/hydra_optuna_sweeper\", \"__init__.py\"),\n author=\"Toshihiko Yanase, Hiroyuki Vincent Yamazaki\",\n author_email=\"[email protected], [email protected]\",\n description=\"Hydra Optuna Sweeper plugin\",\n long_description=(Path(__file__).parent / \"README.md\").read_text(),\n long_description_content_type=\"text/markdown\",\n url=\"https://github.com/facebookresearch/hydra/\",\n packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n classifiers=[\n \"License :: OSI Approved :: MIT License\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Operating System :: POSIX :: Linux\",\n \"Operating System :: MacOS\",\n \"Development Status :: 4 - Beta\",\n ],\n install_requires=[\n \"hydra-core>=1.1.0.dev7\",\n \"optuna>=2.5.0\",\n \"alembic<1.7.0\", # https://github.com/facebookresearch/hydra/issues/1806\n ],\n include_package_data=True,\n)\n", "path": "plugins/hydra_optuna_sweeper/setup.py" } ]
[ { "content": "# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved\n# type: ignore\nfrom pathlib import Path\n\nfrom read_version import read_version\nfrom setuptools import find_namespace_packages, setup\n\nsetup(\n name=\"hydra-optuna-sweeper\",\n version=read_version(\"hydra_plugins/hydra_optuna_sweeper\", \"__init__.py\"),\n author=\"Toshihiko Yanase, Hiroyuki Vincent Yamazaki\",\n author_email=\"[email protected], [email protected]\",\n description=\"Hydra Optuna Sweeper plugin\",\n long_description=(Path(__file__).parent / \"README.md\").read_text(),\n long_description_content_type=\"text/markdown\",\n url=\"https://github.com/facebookresearch/hydra/\",\n packages=find_namespace_packages(include=[\"hydra_plugins.*\"]),\n classifiers=[\n \"License :: OSI Approved :: MIT License\",\n \"Programming Language :: Python :: 3.6\",\n \"Programming Language :: Python :: 3.7\",\n \"Programming Language :: Python :: 3.8\",\n \"Programming Language :: Python :: 3.9\",\n \"Operating System :: POSIX :: Linux\",\n \"Operating System :: MacOS\",\n \"Development Status :: 4 - Beta\",\n ],\n install_requires=[\n \"hydra-core>=1.1.0.dev7\",\n \"optuna>=2.10.0\",\n ],\n include_package_data=True,\n)\n", "path": "plugins/hydra_optuna_sweeper/setup.py" } ]
diff --git a/plugins/hydra_optuna_sweeper/setup.py b/plugins/hydra_optuna_sweeper/setup.py index efc477c9457..bd65fca5b2c 100644 --- a/plugins/hydra_optuna_sweeper/setup.py +++ b/plugins/hydra_optuna_sweeper/setup.py @@ -27,8 +27,7 @@ ], install_requires=[ "hydra-core>=1.1.0.dev7", - "optuna>=2.5.0", - "alembic<1.7.0", # https://github.com/facebookresearch/hydra/issues/1806 + "optuna>=2.10.0", ], include_package_data=True, )
[CI] `mypy` fails for optuna sweeper on main Turns out it was caused by a newly released version of `alembic` and it has been fixed in optuna https://github.com/optuna/optuna/pull/2887
DDMAL__CantusDB-948
[ { "content": "from django.views.generic import DetailView, ListView, CreateView, UpdateView\nfrom django.db.models import Q, Prefetch\nfrom main_app.models import Source, Provenance, Century\nfrom main_app.forms import SourceCreateForm, SourceEditForm\nfrom django.contrib import messages\nfrom django.urls import reverse\nfrom django.contrib.auth.mixins import LoginRequiredMixin\nfrom django.http import HttpResponseRedirect\nfrom django.contrib.auth.mixins import UserPassesTestMixin\nfrom django.core.exceptions import PermissionDenied\nfrom django.shortcuts import get_object_or_404\nfrom main_app.views.chant import (\n get_feast_selector_options,\n user_can_edit_chants_in_source,\n)\n\n\nclass SourceDetailView(DetailView):\n model = Source\n context_object_name = \"source\"\n template_name = \"source_detail.html\"\n\n def get_context_data(self, **kwargs):\n source = self.get_object()\n user = self.request.user\n display_unpublished = self.request.user.is_authenticated\n if (source.published is False) and (not display_unpublished):\n raise PermissionDenied()\n\n context = super().get_context_data(**kwargs)\n\n if source.segment and source.segment.id == 4064:\n # if this is a sequence source\n context[\"sequences\"] = source.sequence_set.order_by(\"s_sequence\")\n context[\"folios\"] = (\n source.sequence_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n else:\n # if this is a chant source\n folios = (\n source.chant_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n context[\"folios\"] = folios\n # the options for the feast selector on the right, only chant sources have this\n context[\"feasts_with_folios\"] = get_feast_selector_options(source, folios)\n\n context[\"user_can_edit_chants\"] = user_can_edit_chants_in_source(user, source)\n context[\"user_can_edit_source\"] = user_can_edit_source(user, source)\n return context\n\n\nclass SourceListView(ListView):\n paginate_by = 100\n context_object_name = \"sources\"\n template_name = \"source_list.html\"\n\n def get_context_data(self, **kwargs):\n context = super().get_context_data(**kwargs)\n context[\"provenances\"] = (\n Provenance.objects.all().order_by(\"name\").values(\"id\", \"name\")\n )\n context[\"centuries\"] = (\n Century.objects.all().order_by(\"name\").values(\"id\", \"name\")\n )\n return context\n\n def get_queryset(self):\n # use select_related() for foreign keys to reduce DB queries\n queryset = Source.objects.select_related(\n \"rism_siglum\", \"segment\", \"provenance\"\n ).order_by(\"siglum\")\n\n display_unpublished = self.request.user.is_authenticated\n if display_unpublished:\n q_obj_filter = Q()\n else:\n q_obj_filter = Q(published=True)\n\n if self.request.GET.get(\"century\"):\n century_name = Century.objects.get(id=self.request.GET.get(\"century\")).name\n q_obj_filter &= Q(century__name__icontains=century_name)\n\n if self.request.GET.get(\"provenance\"):\n provenance_id = int(self.request.GET.get(\"provenance\"))\n q_obj_filter &= Q(provenance__id=provenance_id)\n if self.request.GET.get(\"segment\"):\n segment_id = int(self.request.GET.get(\"segment\"))\n q_obj_filter &= Q(segment__id=segment_id)\n if self.request.GET.get(\"fullSource\") in [\"true\", \"false\"]:\n full_source_str = self.request.GET.get(\"fullSource\")\n if full_source_str == \"true\":\n full_source_q = Q(full_source=True) | Q(full_source=None)\n q_obj_filter &= full_source_q\n else:\n q_obj_filter &= Q(full_source=False)\n\n if self.request.GET.get(\"general\"):\n # Strip spaces at the beginning and end. Then make list of terms split on spaces\n general_search_terms = self.request.GET.get(\"general\").strip(\" \").split(\" \")\n # We need a Q Object for each field we're gonna look into\n title_q = Q()\n siglum_q = Q()\n rism_siglum_q = Q()\n description_q = Q()\n # it seems that old cantus don't look into title and provenance for the general search terms\n # cantus.uwaterloo.ca/source/123901 this source cannot be found by searching its provenance 'Kremsmünster' in the general search field\n # provenance_q = Q()\n summary_q = Q()\n\n # For each term, add it to the Q object of each field with an OR operation.\n # We split the terms so that the words can be separated in the actual\n # field, allowing for a more flexible search, and a field needs\n # to match only one of the terms\n for term in general_search_terms:\n title_q |= Q(title__icontains=term)\n siglum_q |= Q(siglum__icontains=term)\n rism_siglum_q |= Q(rism_siglum__name__icontains=term) | Q(\n rism_siglum__description__icontains=term\n )\n description_q |= Q(description__icontains=term)\n summary_q |= Q(summary__icontains=term)\n # provenance_q |= Q(provenance__name__icontains=term)\n # All the Q objects are put together with OR.\n # The end result is that at least one term has to match in at least one\n # field\n # general_search_q = (\n # title_q | siglum_q | rism_siglum_q | description_q | provenance_q\n # )\n general_search_q = (\n title_q | siglum_q | rism_siglum_q | description_q | summary_q\n )\n q_obj_filter &= general_search_q\n\n # For the indexing notes search we follow the same procedure as above but with\n # different fields\n if self.request.GET.get(\"indexing\"):\n # Make list of terms split on spaces\n indexing_search_terms = self.request.GET.get(\"indexing\").split(\" \")\n # We need a Q Object for each field we're gonna look into\n inventoried_by_q = Q()\n full_text_entered_by_q = Q()\n melodies_entered_by_q = Q()\n proofreaders_q = Q()\n other_editors_q = Q()\n indexing_notes_q = Q()\n # For each term, add it to the Q object of each field with an OR operation.\n # We split the terms so that the words can be separated in the actual\n # field, allowing for a more flexible search, and a field needs\n # to match only one of the terms\n for term in indexing_search_terms:\n inventoried_by_q |= Q(inventoried_by__full_name__icontains=term)\n full_text_entered_by_q |= Q(\n full_text_entered_by__full_name__icontains=term\n )\n melodies_entered_by_q |= Q(\n melodies_entered_by__full_name__icontains=term\n )\n proofreaders_q |= Q(proofreaders__full_name__icontains=term)\n other_editors_q |= Q(other_editors__full_name__icontains=term)\n indexing_notes_q |= Q(indexing_notes__icontains=term)\n # All the Q objects are put together with OR.\n # The end result is that at least one term has to match in at least one\n # field\n indexing_search_q = (\n inventoried_by_q\n | full_text_entered_by_q\n | melodies_entered_by_q\n | proofreaders_q\n | other_editors_q\n | indexing_notes_q\n )\n q_obj_filter &= indexing_search_q\n\n return queryset.filter(q_obj_filter).prefetch_related(\n Prefetch(\"century\", queryset=Century.objects.all().order_by(\"id\"))\n )\n\n\nclass SourceCreateView(LoginRequiredMixin, UserPassesTestMixin, CreateView):\n model = Source\n template_name = \"source_create_form.html\"\n form_class = SourceCreateForm\n\n def test_func(self):\n user = self.request.user\n # checks if the user is allowed to create sources\n is_authorized = user.groups.filter(\n Q(name=\"project manager\") | Q(name=\"editor\") | Q(name=\"contributor\")\n ).exists()\n\n if is_authorized:\n return True\n else:\n return False\n\n def get_success_url(self):\n return reverse(\"source-detail\", args=[self.object.id])\n\n def form_valid(self, form):\n form.instance.created_by = self.request.user\n self.object = form.save()\n\n # assign this source to the \"current_editors\"\n current_editors = self.object.current_editors.all()\n self.request.user.sources_user_can_edit.add(self.object)\n\n for editor in current_editors:\n editor.sources_user_can_edit.add(self.object)\n\n messages.success(\n self.request,\n \"Source created successfully!\",\n )\n return HttpResponseRedirect(self.get_success_url())\n\n\nclass SourceEditView(LoginRequiredMixin, UserPassesTestMixin, UpdateView):\n template_name = \"source_edit.html\"\n model = Source\n form_class = SourceEditForm\n pk_url_kwarg = \"source_id\"\n\n def get_context_data(self, **kwargs):\n source = self.get_object()\n context = super().get_context_data(**kwargs)\n\n if source.segment and source.segment.id == 4064:\n # if this is a sequence source\n context[\"sequences\"] = source.sequence_set.order_by(\"s_sequence\")\n context[\"folios\"] = (\n source.sequence_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n else:\n # if this is a chant source\n folios = (\n source.chant_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n context[\"folios\"] = folios\n # the options for the feast selector on the right, only chant sources have this\n context[\"feasts_with_folios\"] = get_feast_selector_options(source, folios)\n return context\n\n def test_func(self):\n user = self.request.user\n source_id = self.kwargs.get(self.pk_url_kwarg)\n source = get_object_or_404(Source, id=source_id)\n\n return user_can_edit_source(user, source)\n\n def form_valid(self, form):\n form.instance.last_updated_by = self.request.user\n\n # remove this source from the old \"current_editors\"\n # assign this source to the new \"current_editors\"\n\n old_current_editors = list(\n Source.objects.get(id=form.instance.id).current_editors.all()\n )\n new_current_editors = form.cleaned_data[\"current_editors\"]\n source = form.save()\n\n for old_editor in old_current_editors:\n old_editor.sources_user_can_edit.remove(source)\n\n for new_editor in new_current_editors:\n new_editor.sources_user_can_edit.add(source)\n\n return HttpResponseRedirect(self.get_success_url())\n\n\ndef user_can_edit_source(user, source):\n source_id = source.id\n assigned_to_source = user.sources_user_can_edit.filter(id=source_id)\n\n # checks if the user is a project manager\n is_project_manager = user.groups.filter(name=\"project manager\").exists()\n # checks if the user is an editor\n is_editor = user.groups.filter(name=\"editor\").exists()\n # checks if the user is a contributor\n is_contributor = user.groups.filter(name=\"contributor\").exists()\n\n if (\n (is_project_manager)\n or (is_editor and assigned_to_source)\n or (is_editor and source.created_by == user)\n or (is_contributor and source.created_by == user)\n ):\n return True\n else:\n return False\n", "path": "django/cantusdb_project/main_app/views/source.py" } ]
[ { "content": "from django.views.generic import DetailView, ListView, CreateView, UpdateView\nfrom django.db.models import Q, Prefetch\nfrom main_app.models import Source, Provenance, Century\nfrom main_app.forms import SourceCreateForm, SourceEditForm\nfrom django.contrib import messages\nfrom django.urls import reverse\nfrom django.contrib.auth.mixins import LoginRequiredMixin\nfrom django.http import HttpResponseRedirect\nfrom django.contrib.auth.mixins import UserPassesTestMixin\nfrom django.core.exceptions import PermissionDenied\nfrom django.shortcuts import get_object_or_404\nfrom main_app.views.chant import (\n get_feast_selector_options,\n user_can_edit_chants_in_source,\n)\n\n\nclass SourceDetailView(DetailView):\n model = Source\n context_object_name = \"source\"\n template_name = \"source_detail.html\"\n\n def get_context_data(self, **kwargs):\n source = self.get_object()\n user = self.request.user\n display_unpublished = self.request.user.is_authenticated\n if (source.published is False) and (not display_unpublished):\n raise PermissionDenied()\n\n context = super().get_context_data(**kwargs)\n\n if source.segment and source.segment.id == 4064:\n # if this is a sequence source\n context[\"sequences\"] = source.sequence_set.order_by(\"s_sequence\")\n context[\"folios\"] = (\n source.sequence_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n else:\n # if this is a chant source\n folios = (\n source.chant_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n context[\"folios\"] = folios\n # the options for the feast selector on the right, only chant sources have this\n context[\"feasts_with_folios\"] = get_feast_selector_options(source, folios)\n\n context[\"user_can_edit_chants\"] = user_can_edit_chants_in_source(user, source)\n context[\"user_can_edit_source\"] = user_can_edit_source(user, source)\n return context\n\n\nclass SourceListView(ListView):\n paginate_by = 100\n context_object_name = \"sources\"\n template_name = \"source_list.html\"\n\n def get_context_data(self, **kwargs):\n context = super().get_context_data(**kwargs)\n context[\"provenances\"] = (\n Provenance.objects.all().order_by(\"name\").values(\"id\", \"name\")\n )\n context[\"centuries\"] = (\n Century.objects.all().order_by(\"name\").values(\"id\", \"name\")\n )\n return context\n\n def get_queryset(self):\n # use select_related() for foreign keys to reduce DB queries\n queryset = Source.objects.select_related(\n \"rism_siglum\", \"segment\", \"provenance\"\n ).order_by(\"siglum\")\n\n display_unpublished = self.request.user.is_authenticated\n if display_unpublished:\n q_obj_filter = Q()\n else:\n q_obj_filter = Q(published=True)\n\n if self.request.GET.get(\"century\"):\n century_name = Century.objects.get(id=self.request.GET.get(\"century\")).name\n q_obj_filter &= Q(century__name__icontains=century_name)\n\n if self.request.GET.get(\"provenance\"):\n provenance_id = int(self.request.GET.get(\"provenance\"))\n q_obj_filter &= Q(provenance__id=provenance_id)\n if self.request.GET.get(\"segment\"):\n segment_id = int(self.request.GET.get(\"segment\"))\n q_obj_filter &= Q(segment__id=segment_id)\n if self.request.GET.get(\"fullSource\") in [\"true\", \"false\"]:\n full_source_str = self.request.GET.get(\"fullSource\")\n if full_source_str == \"true\":\n full_source_q = Q(full_source=True) | Q(full_source=None)\n q_obj_filter &= full_source_q\n else:\n q_obj_filter &= Q(full_source=False)\n\n if self.request.GET.get(\"general\"):\n # Strip spaces at the beginning and end. Then make list of terms split on spaces\n general_search_terms = self.request.GET.get(\"general\").strip(\" \").split(\" \")\n # We need a Q Object for each field we're gonna look into\n title_q = Q()\n siglum_q = Q()\n rism_siglum_q = Q()\n description_q = Q()\n # it seems that old cantus don't look into title and provenance for the general search terms\n # cantus.uwaterloo.ca/source/123901 this source cannot be found by searching its provenance 'Kremsmünster' in the general search field\n # provenance_q = Q()\n summary_q = Q()\n\n # For each term, add it to the Q object of each field with an OR operation.\n # We split the terms so that the words can be separated in the actual\n # field, allowing for a more flexible search, and a field needs\n # to match only one of the terms\n for term in general_search_terms:\n title_q |= Q(title__icontains=term)\n siglum_q |= Q(siglum__icontains=term)\n rism_siglum_q |= Q(rism_siglum__name__icontains=term) | Q(\n rism_siglum__description__icontains=term\n )\n description_q |= Q(description__icontains=term)\n summary_q |= Q(summary__icontains=term)\n # provenance_q |= Q(provenance__name__icontains=term)\n # All the Q objects are put together with OR.\n # The end result is that at least one term has to match in at least one\n # field\n # general_search_q = (\n # title_q | siglum_q | rism_siglum_q | description_q | provenance_q\n # )\n general_search_q = (\n title_q | siglum_q | rism_siglum_q | description_q | summary_q\n )\n q_obj_filter &= general_search_q\n\n # For the indexing notes search we follow the same procedure as above but with\n # different fields\n if self.request.GET.get(\"indexing\"):\n # Make list of terms split on spaces\n indexing_search_terms = self.request.GET.get(\"indexing\").split(\" \")\n # We need a Q Object for each field we're gonna look into\n inventoried_by_q = Q()\n full_text_entered_by_q = Q()\n melodies_entered_by_q = Q()\n proofreaders_q = Q()\n other_editors_q = Q()\n indexing_notes_q = Q()\n # For each term, add it to the Q object of each field with an OR operation.\n # We split the terms so that the words can be separated in the actual\n # field, allowing for a more flexible search, and a field needs\n # to match only one of the terms\n for term in indexing_search_terms:\n inventoried_by_q |= Q(inventoried_by__full_name__icontains=term)\n full_text_entered_by_q |= Q(\n full_text_entered_by__full_name__icontains=term\n )\n melodies_entered_by_q |= Q(\n melodies_entered_by__full_name__icontains=term\n )\n proofreaders_q |= Q(proofreaders__full_name__icontains=term)\n other_editors_q |= Q(other_editors__full_name__icontains=term)\n indexing_notes_q |= Q(indexing_notes__icontains=term)\n # All the Q objects are put together with OR.\n # The end result is that at least one term has to match in at least one\n # field\n indexing_search_q = (\n inventoried_by_q\n | full_text_entered_by_q\n | melodies_entered_by_q\n | proofreaders_q\n | other_editors_q\n | indexing_notes_q\n )\n q_obj_filter &= indexing_search_q\n\n return queryset.filter(q_obj_filter).prefetch_related(\n Prefetch(\"century\", queryset=Century.objects.all().order_by(\"id\"))\n )\n\n\nclass SourceCreateView(LoginRequiredMixin, UserPassesTestMixin, CreateView):\n model = Source\n template_name = \"source_create_form.html\"\n form_class = SourceCreateForm\n\n def test_func(self):\n user = self.request.user\n # checks if the user is allowed to create sources\n is_authorized = user.groups.filter(\n Q(name=\"project manager\") | Q(name=\"editor\") | Q(name=\"contributor\")\n ).exists()\n\n if is_authorized:\n return True\n else:\n return False\n\n def get_success_url(self):\n return reverse(\"source-detail\", args=[self.object.id])\n\n def form_valid(self, form):\n form.instance.created_by = self.request.user\n self.object = form.save()\n\n # assign this source to the \"current_editors\"\n current_editors = self.object.current_editors.all()\n self.request.user.sources_user_can_edit.add(self.object)\n\n for editor in current_editors:\n editor.sources_user_can_edit.add(self.object)\n\n messages.success(\n self.request,\n \"Source created successfully!\",\n )\n return HttpResponseRedirect(self.get_success_url())\n\n\nclass SourceEditView(LoginRequiredMixin, UserPassesTestMixin, UpdateView):\n template_name = \"source_edit.html\"\n model = Source\n form_class = SourceEditForm\n pk_url_kwarg = \"source_id\"\n\n def get_context_data(self, **kwargs):\n source = self.get_object()\n context = super().get_context_data(**kwargs)\n\n if source.segment and source.segment.id == 4064:\n # if this is a sequence source\n context[\"sequences\"] = source.sequence_set.order_by(\"s_sequence\")\n context[\"folios\"] = (\n source.sequence_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n else:\n # if this is a chant source\n folios = (\n source.chant_set.values_list(\"folio\", flat=True)\n .distinct()\n .order_by(\"folio\")\n )\n context[\"folios\"] = folios\n # the options for the feast selector on the right, only chant sources have this\n context[\"feasts_with_folios\"] = get_feast_selector_options(source, folios)\n return context\n\n def test_func(self):\n user = self.request.user\n source_id = self.kwargs.get(self.pk_url_kwarg)\n source = get_object_or_404(Source, id=source_id)\n\n return user_can_edit_source(user, source)\n\n def form_valid(self, form):\n form.instance.last_updated_by = self.request.user\n\n # remove this source from the old \"current_editors\"\n # assign this source to the new \"current_editors\"\n\n old_current_editors = list(\n Source.objects.get(id=form.instance.id).current_editors.all()\n )\n new_current_editors = form.cleaned_data[\"current_editors\"]\n source = form.save()\n\n for old_editor in old_current_editors:\n old_editor.sources_user_can_edit.remove(source)\n\n for new_editor in new_current_editors:\n new_editor.sources_user_can_edit.add(source)\n\n return HttpResponseRedirect(self.get_success_url())\n\n\ndef user_can_edit_source(user, source):\n if user.is_anonymous:\n return False\n source_id = source.id\n assigned_to_source = user.sources_user_can_edit.filter(id=source_id)\n\n # checks if the user is a project manager\n is_project_manager = user.groups.filter(name=\"project manager\").exists()\n # checks if the user is an editor\n is_editor = user.groups.filter(name=\"editor\").exists()\n # checks if the user is a contributor\n is_contributor = user.groups.filter(name=\"contributor\").exists()\n\n if (\n (is_project_manager)\n or (is_editor and assigned_to_source)\n or (is_editor and source.created_by == user)\n or (is_contributor and source.created_by == user)\n ):\n return True\n else:\n return False\n", "path": "django/cantusdb_project/main_app/views/source.py" } ]
diff --git a/django/cantusdb_project/main_app/views/source.py b/django/cantusdb_project/main_app/views/source.py index 1dc8202b1..42022a81e 100644 --- a/django/cantusdb_project/main_app/views/source.py +++ b/django/cantusdb_project/main_app/views/source.py @@ -277,6 +277,8 @@ def form_valid(self, form): def user_can_edit_source(user, source): + if user.is_anonymous: + return False source_id = source.id assigned_to_source = user.sources_user_can_edit.filter(id=source_id)
Test Fail in SourceDetailViewTest All of the tests are currently failing in SourceDetailViewTest ``` ====================================================================== ERROR: test_context_sequences (main_app.tests.test_views.SourceDetailViewTest) ---------------------------------------------------------------------- Traceback (most recent call last): File "/code/django/cantusdb_project/main_app/tests/test_views.py", line 4319, in test_context_sequences response = self.client.get(reverse("source-detail", args=[source.id])) File "/usr/local/lib/python3.9/site-packages/django/test/client.py", line 927, in get response = super().get(path, data=data, secure=secure, headers=headers, **extra) File "/usr/local/lib/python3.9/site-packages/django/test/client.py", line 457, in get return self.generic( File "/usr/local/lib/python3.9/site-packages/django/test/client.py", line 609, in generic return self.request(**r) File "/usr/local/lib/python3.9/site-packages/django/test/client.py", line 891, in request self.check_exception(response) File "/usr/local/lib/python3.9/site-packages/django/test/client.py", line 738, in check_exception raise exc_value File "/usr/local/lib/python3.9/site-packages/django/core/handlers/exception.py", line 55, in inner response = get_response(request) File "/usr/local/lib/python3.9/site-packages/django/core/handlers/base.py", line 197, in _get_response response = wrapped_callback(request, *callback_args, **callback_kwargs) File "/usr/local/lib/python3.9/site-packages/django/views/generic/base.py", line 104, in view return self.dispatch(request, *args, **kwargs) File "/usr/local/lib/python3.9/site-packages/django/views/generic/base.py", line 143, in dispatch return handler(request, *args, **kwargs) File "/usr/local/lib/python3.9/site-packages/django/views/generic/detail.py", line 109, in get context = self.get_context_data(object=self.object) File "/code/django/cantusdb_project/main_app/views/source.py", line 52, in get_context_data context["user_can_edit_source"] = user_can_edit_source(user, source) File "/code/django/cantusdb_project/main_app/views/source.py", line 281, in user_can_edit_source assigned_to_source = user.sources_user_can_edit.filter(id=source_id) File "/usr/local/lib/python3.9/site-packages/django/utils/functional.py", line 268, in inner return func(_wrapped, *args) AttributeError: 'AnonymousUser' object has no attribute 'sources_user_can_edit' ```
zigpy__zha-device-handlers-569
[ { "content": "\"\"\"Device handler for centralite ias sensors.\"\"\"\nfrom zigpy.profiles import zha\nfrom zigpy.quirks import CustomDevice\nfrom zigpy.zcl.clusters.general import Basic, BinaryInput, Identify, Ota, PollControl\nfrom zigpy.zcl.clusters.measurement import TemperatureMeasurement\nfrom zigpy.zcl.clusters.security import IasZone\n\nfrom zhaquirks import PowerConfigurationCluster\n\nfrom . import CENTRALITE\nfrom ..const import (\n DEVICE_TYPE,\n ENDPOINTS,\n INPUT_CLUSTERS,\n MODELS_INFO,\n OUTPUT_CLUSTERS,\n PROFILE_ID,\n)\n\nDIAGNOSTICS_CLUSTER_ID = 0x0B05 # decimal = 2821\nMANUFACTURER_SPECIFIC_CLUSTER_ID = 0xFC0F # decimal = 64527\nMANUFACTURER_SPECIFIC_PROFILE_ID = 0xC2DF # decimal = 49887\n\n\nclass CentraLiteIASSensor(CustomDevice):\n \"\"\"Custom device representing centralite ias sensors.\"\"\"\n\n signature = {\n # <SimpleDescriptor endpoint=1 profile=260 device_type=1026\n # device_version=0\n # input_clusters=[0, 1, 3, 32, 1026, 1280, 2821]\n # output_clusters=[25]>\n MODELS_INFO: [\n (CENTRALITE, \"3300-S\"),\n (CENTRALITE, \"3315-G\"),\n (CENTRALITE, \"3315-L\"),\n (CENTRALITE, \"3315-S\"),\n (CENTRALITE, \"3315-Seu\"),\n (CENTRALITE, \"3315\"),\n (CENTRALITE, \"3320-L\"),\n ],\n ENDPOINTS: {\n 1: {\n PROFILE_ID: zha.PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.IAS_ZONE,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n PollControl.cluster_id,\n TemperatureMeasurement.cluster_id,\n IasZone.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Ota.cluster_id],\n },\n # <SimpleDescriptor endpoint=2 profile=49887 device_type=12\n # device_version=0\n # input_clusters=[0, 1, 3, 2821, 64527]\n # output_clusters=[3]>\n 2: {\n PROFILE_ID: MANUFACTURER_SPECIFIC_PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SIMPLE_SENSOR,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n MANUFACTURER_SPECIFIC_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n },\n }\n\n replacement = {\n ENDPOINTS: {\n 1: {\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n PowerConfigurationCluster,\n Identify.cluster_id,\n PollControl.cluster_id,\n TemperatureMeasurement.cluster_id,\n IasZone.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Ota.cluster_id],\n },\n 2: {\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n MANUFACTURER_SPECIFIC_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n }\n }\n\n\nclass CentraLiteIASSensorV2(CustomDevice):\n \"\"\"Custom device representing centralite ias sensors.\"\"\"\n\n signature = {\n # <SimpleDescriptor endpoint=1 profile=260 device_type=1026\n # device_version=0\n # input_clusters=[0, 1, 3, 32, 1026, 1280, 2821]\n # output_clusters=[25]>\n MODELS_INFO: CentraLiteIASSensor.signature[MODELS_INFO],\n ENDPOINTS: {\n 1: CentraLiteIASSensor.signature[ENDPOINTS][1],\n # <SimpleDescriptor endpoint=2 profile=49887 device_type=12\n # device_version=0\n # input_clusters=[0, 1, 3, 15, 2821, 64527]\n # output_clusters=[3]>\n 2: {\n PROFILE_ID: MANUFACTURER_SPECIFIC_PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SIMPLE_SENSOR,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n BinaryInput.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n MANUFACTURER_SPECIFIC_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n },\n }\n\n replacement = CentraLiteIASSensor.replacement\n\n\nclass CentraLiteIASSensorV3(CustomDevice):\n \"\"\"Custom device representing centralite ias sensors.\"\"\"\n\n signature = {\n # <SimpleDescriptor endpoint=1 profile=260 device_type=1026\n # device_version=0\n # input_clusters=[0, 1, 3, 32, 1026, 1280, 2821]\n # output_clusters=[25]>\n MODELS_INFO: CentraLiteIASSensor.signature[MODELS_INFO],\n ENDPOINTS: {\n 1: CentraLiteIASSensor.signature[ENDPOINTS][1],\n # <SimpleDescriptor endpoint=2 profile=49887 device_type=12\n # device_version=0\n # input_clusters=[0, 1, 3, 15, 2821]\n # output_clusters=[3]>\n 2: {\n PROFILE_ID: MANUFACTURER_SPECIFIC_PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SIMPLE_SENSOR,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n BinaryInput.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n },\n }\n\n replacement = CentraLiteIASSensor.replacement\n", "path": "zhaquirks/centralite/ias.py" } ]
[ { "content": "\"\"\"Device handler for centralite ias sensors.\"\"\"\nfrom zigpy.profiles import zha\nfrom zigpy.quirks import CustomDevice\nfrom zigpy.zcl.clusters.general import Basic, BinaryInput, Identify, Ota, PollControl\nfrom zigpy.zcl.clusters.measurement import TemperatureMeasurement\nfrom zigpy.zcl.clusters.security import IasZone\n\nfrom zhaquirks import PowerConfigurationCluster\n\nfrom . import CENTRALITE\nfrom ..const import (\n DEVICE_TYPE,\n ENDPOINTS,\n INPUT_CLUSTERS,\n MODELS_INFO,\n OUTPUT_CLUSTERS,\n PROFILE_ID,\n)\n\nDIAGNOSTICS_CLUSTER_ID = 0x0B05 # decimal = 2821\nMANUFACTURER_SPECIFIC_CLUSTER_ID = 0xFC0F # decimal = 64527\nMANUFACTURER_SPECIFIC_PROFILE_ID = 0xC2DF # decimal = 49887\n\n\nclass CentraLiteIASSensor(CustomDevice):\n \"\"\"Custom device representing centralite ias sensors.\"\"\"\n\n signature = {\n # <SimpleDescriptor endpoint=1 profile=260 device_type=1026\n # device_version=0\n # input_clusters=[0, 1, 3, 32, 1026, 1280, 2821]\n # output_clusters=[25]>\n MODELS_INFO: [\n (CENTRALITE, \"3300-S\"),\n (CENTRALITE, \"3315-G\"),\n (CENTRALITE, \"3315-L\"),\n (CENTRALITE, \"3315-S\"),\n (CENTRALITE, \"3315-Seu\"),\n (CENTRALITE, \"3315\"),\n (CENTRALITE, \"3320-L\"),\n (CENTRALITE, \"Contact Sensor-A\"),\n ],\n ENDPOINTS: {\n 1: {\n PROFILE_ID: zha.PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.IAS_ZONE,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n PollControl.cluster_id,\n TemperatureMeasurement.cluster_id,\n IasZone.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Ota.cluster_id],\n },\n # <SimpleDescriptor endpoint=2 profile=49887 device_type=12\n # device_version=0\n # input_clusters=[0, 1, 3, 2821, 64527]\n # output_clusters=[3]>\n 2: {\n PROFILE_ID: MANUFACTURER_SPECIFIC_PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SIMPLE_SENSOR,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n MANUFACTURER_SPECIFIC_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n },\n }\n\n replacement = {\n ENDPOINTS: {\n 1: {\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n PowerConfigurationCluster,\n Identify.cluster_id,\n PollControl.cluster_id,\n TemperatureMeasurement.cluster_id,\n IasZone.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Ota.cluster_id],\n },\n 2: {\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n MANUFACTURER_SPECIFIC_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n }\n }\n\n\nclass CentraLiteIASSensorV2(CustomDevice):\n \"\"\"Custom device representing centralite ias sensors.\"\"\"\n\n signature = {\n # <SimpleDescriptor endpoint=1 profile=260 device_type=1026\n # device_version=0\n # input_clusters=[0, 1, 3, 32, 1026, 1280, 2821]\n # output_clusters=[25]>\n MODELS_INFO: CentraLiteIASSensor.signature[MODELS_INFO],\n ENDPOINTS: {\n 1: CentraLiteIASSensor.signature[ENDPOINTS][1],\n # <SimpleDescriptor endpoint=2 profile=49887 device_type=12\n # device_version=0\n # input_clusters=[0, 1, 3, 15, 2821, 64527]\n # output_clusters=[3]>\n 2: {\n PROFILE_ID: MANUFACTURER_SPECIFIC_PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SIMPLE_SENSOR,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n BinaryInput.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n MANUFACTURER_SPECIFIC_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n },\n }\n\n replacement = CentraLiteIASSensor.replacement\n\n\nclass CentraLiteIASSensorV3(CustomDevice):\n \"\"\"Custom device representing centralite ias sensors.\"\"\"\n\n signature = {\n # <SimpleDescriptor endpoint=1 profile=260 device_type=1026\n # device_version=0\n # input_clusters=[0, 1, 3, 32, 1026, 1280, 2821]\n # output_clusters=[25]>\n MODELS_INFO: CentraLiteIASSensor.signature[MODELS_INFO],\n ENDPOINTS: {\n 1: CentraLiteIASSensor.signature[ENDPOINTS][1],\n # <SimpleDescriptor endpoint=2 profile=49887 device_type=12\n # device_version=0\n # input_clusters=[0, 1, 3, 15, 2821]\n # output_clusters=[3]>\n 2: {\n PROFILE_ID: MANUFACTURER_SPECIFIC_PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SIMPLE_SENSOR,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n BinaryInput.cluster_id,\n PowerConfigurationCluster.cluster_id,\n Identify.cluster_id,\n DIAGNOSTICS_CLUSTER_ID,\n ],\n OUTPUT_CLUSTERS: [Identify.cluster_id],\n },\n },\n }\n\n replacement = CentraLiteIASSensor.replacement\n", "path": "zhaquirks/centralite/ias.py" } ]
diff --git a/zhaquirks/centralite/ias.py b/zhaquirks/centralite/ias.py index ef70d107f7..f074a59144 100755 --- a/zhaquirks/centralite/ias.py +++ b/zhaquirks/centralite/ias.py @@ -38,6 +38,7 @@ class CentraLiteIASSensor(CustomDevice): (CENTRALITE, "3315-Seu"), (CENTRALITE, "3315"), (CENTRALITE, "3320-L"), + (CENTRALITE, "Contact Sensor-A"), ], ENDPOINTS: { 1: {
[Device Support Request] CentraLite Contact Sensor-A **TL;DR**: The battery entity for the `CentraLite Contact Sensor-A` always reports `Unavailable`. It's very similar in signature to the CentraLite 3320-L sensor, so I'm hoping it just needs a device-specific quirk. **Is your feature request related to a problem? Please describe.** I have some Sylvania SMART+ Door/Window sensors that are detected as `CentraLite Contact Sensor-A`. They do not have a device-specific quirk; the ZHA Network Card reports them using zha.device.Device. The open/close and temp entities currently work fine in HA, but the battery level entity always shows `Unavailable`. There is battery information available in the UI via the entity: battery size is reported as `Other`, battery quantity is reported as `1` and battery voltage is reported as a float like `2.7` or `2.6`. I also have some other sensors that are very similar both in terms of device signature and physical attributes. They are Lowes Iris Window/Door sensors and are detected as `Centralite 3320-L`. These use the quirk zhaquirks.centralite.ias.CentraLiteIASSensor. The only differences in the device signatures for these two devices (other than the detected model, of course) are: - The manufacturer_code entry in the node descriptor is different - I’m assuming this is how the different device model is detected. - On the Contact Sensor-A Endpoint 2 has an extra in cluster with id 0x0001 - The Contact Sensor-A uses the default Zigbee device quirk, but the 3320-L uses a CentraLite-specific one. **Describe the solution you'd like** I'd like for the battery entity in HA to show the remaining percentage, similar to the entities for all my other sensor batteries. **Device signature - this can be acquired by removing the device from ZHA and pairing it again from the add devices screen. Be sure to add the entire content of the log panel after pairing the device to a code block below this line.** ``` { "node_descriptor": "NodeDescriptor(byte1=2, byte2=64, mac_capability_flags=128, manufacturer_code=4174, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=0, maximum_outgoing_transfer_size=82, descriptor_capability_field=0)", "endpoints": { "1": { "profile_id": 260, "device_type": "0x0402", "in_clusters": [ "0x0000", "0x0001", "0x0003", "0x0020", "0x0402", "0x0500", "0x0b05" ], "out_clusters": [ "0x0019" ] }, "2": { "profile_id": 49887, "device_type": "0x000c", "in_clusters": [ "0x0000", "0x0001", "0x0003", "0x0b05", "0xfc0f" ], "out_clusters": [ "0x0003" ] } }, "manufacturer": "CentraLite", "model": "Contact Sensor-A", "class": "zigpy.device.Device" } ```
zulip__zulip-29008
[ { "content": "import re\nfrom typing import Any, Dict, List, Mapping, Optional\n\nimport markdown\nfrom markdown.extensions import Extension\nfrom markdown.preprocessors import Preprocessor\nfrom typing_extensions import override\n\nfrom zerver.lib.markdown.priorities import PREPROCESSOR_PRIORITES\n\nSTART_TABBED_SECTION_REGEX = re.compile(r\"^\\{start_tabs\\}$\")\nEND_TABBED_SECTION_REGEX = re.compile(r\"^\\{end_tabs\\}$\")\nTAB_CONTENT_REGEX = re.compile(r\"^\\{tab\\|([^}]+)\\}$\")\n\nTABBED_SECTION_TEMPLATE = \"\"\"\n<div class=\"tabbed-section {tab_class}\" markdown=\"1\">\n{nav_bar}\n<div class=\"blocks\">\n{blocks}\n</div>\n</div>\n\"\"\".strip()\n\nNAV_BAR_TEMPLATE = \"\"\"\n<ul class=\"nav\">\n{tabs}\n</ul>\n\"\"\".strip()\n\nNAV_LIST_ITEM_TEMPLATE = \"\"\"\n<li data-tab-key=\"{data_tab_key}\" tabindex=\"0\">{label}</li>\n\"\"\".strip()\n\nDIV_TAB_CONTENT_TEMPLATE = \"\"\"\n<div data-tab-key=\"{data_tab_key}\" markdown=\"1\">\n{content}\n</div>\n\"\"\".strip()\n\n# If adding new entries here, also check if you need to update\n# tabbed-instructions.js\nTAB_SECTION_LABELS = {\n \"desktop-web\": \"Desktop/Web\",\n \"ios\": \"iOS\",\n \"android\": \"Android\",\n \"mac\": \"macOS\",\n \"windows\": \"Windows\",\n \"linux\": \"Linux\",\n \"python\": \"Python\",\n \"js\": \"JavaScript\",\n \"curl\": \"curl\",\n \"zulip-send\": \"zulip-send\",\n \"web\": \"Web\",\n \"desktop\": \"Desktop\",\n \"mobile\": \"Mobile\",\n \"mm-default\": \"Default installation\",\n \"mm-cloud\": \"Cloud instance\",\n \"mm-docker\": \"Docker\",\n \"mm-gitlab-omnibus\": \"GitLab Omnibus\",\n \"mm-self-hosting-cloud-export\": \"Self hosting (cloud export)\",\n \"require-invitations\": \"Require invitations\",\n \"allow-anyone-to-join\": \"Allow anyone to join\",\n \"restrict-by-email-domain\": \"Restrict by email domain\",\n \"zoom\": \"Zoom\",\n \"jitsi-meet\": \"Jitsi Meet\",\n \"bigbluebutton\": \"BigBlueButton\",\n \"disable\": \"Disabled\",\n \"chrome\": \"Chrome\",\n \"firefox\": \"Firefox\",\n \"desktop-app\": \"Desktop app\",\n \"system-proxy-settings\": \"System proxy settings\",\n \"custom-proxy-settings\": \"Custom proxy settings\",\n \"stream\": \"From a stream view\",\n \"not-stream\": \"From other views\",\n \"via-recent-conversations\": \"Via recent conversations\",\n \"via-inbox-view\": \"Via inbox view\",\n \"via-left-sidebar\": \"Via left sidebar\",\n \"instructions-for-all-platforms\": \"Instructions for all platforms\",\n \"public-streams\": \"Public streams\",\n \"private-streams\": \"Private streams\",\n \"web-public-streams\": \"Web-public streams\",\n \"via-user-card\": \"Via user card\",\n \"via-user-profile\": \"Via user profile\",\n \"via-organization-settings\": \"Via organization settings\",\n \"via-personal-settings\": \"Via personal settings\",\n \"via-stream-settings\": \"Via stream settings\",\n \"default-subdomain\": \"Default subdomain\",\n \"custom-subdomain\": \"Custom subdomain\",\n \"zulip-cloud-standard\": \"Zulip Cloud Standard\",\n \"zulip-cloud-plus\": \"Zulip Cloud Plus\",\n \"request-sponsorship\": \"Request sponsorship\",\n \"request-education-pricing\": \"Request education pricing\",\n \"zulip-cloud\": \"Zulip Cloud\",\n \"self-hosting\": \"Self hosting\",\n \"okta\": \"Okta\",\n \"onelogin\": \"OneLogin\",\n \"azuread\": \"AzureAD\",\n \"keycloak\": \"Keycloak\",\n \"auth0\": \"Auth0\",\n \"logged-in\": \"If you are logged in\",\n \"logged-out\": \"If you are logged out\",\n \"user\": \"User\",\n \"bot\": \"Bot\",\n \"on-sign-up\": \"On sign-up\",\n \"via-paste\": \"Via paste\",\n \"via-drag-and-drop\": \"Via drag-and-drop\",\n \"via-markdown\": \"Via Markdown\",\n \"via-compose-box-buttons\": \"Via compose box buttons\",\n \"stream-compose\": \"Compose to a stream\",\n \"dm-compose\": \"Compose a DM\",\n \"v8\": \"Zulip Server 8.0+\",\n \"v6\": \"Zulip Server 6.0+\",\n \"v4\": \"Zulip Server 4.0+\",\n \"all-versions\": \"All versions\",\n \"for-a-bot\": \"For a bot\",\n \"for-yourself\": \"For yourself\",\n}\n\n\nclass TabbedSectionsGenerator(Extension):\n @override\n def extendMarkdown(self, md: markdown.Markdown) -> None:\n md.preprocessors.register(\n TabbedSectionsPreprocessor(md, self.getConfigs()),\n \"tabbed_sections\",\n PREPROCESSOR_PRIORITES[\"tabbed_sections\"],\n )\n\n\nclass TabbedSectionsPreprocessor(Preprocessor):\n def __init__(self, md: markdown.Markdown, config: Mapping[str, Any]) -> None:\n super().__init__(md)\n\n @override\n def run(self, lines: List[str]) -> List[str]:\n tab_section = self.parse_tabs(lines)\n while tab_section:\n if \"tabs\" in tab_section:\n tab_class = \"has-tabs\"\n else:\n tab_class = \"no-tabs\"\n tab_section[\"tabs\"] = [\n {\n \"tab_key\": \"instructions-for-all-platforms\",\n \"start\": tab_section[\"start_tabs_index\"],\n }\n ]\n nav_bar = self.generate_nav_bar(tab_section)\n content_blocks = self.generate_content_blocks(tab_section, lines)\n rendered_tabs = TABBED_SECTION_TEMPLATE.format(\n tab_class=tab_class, nav_bar=nav_bar, blocks=content_blocks\n )\n\n start = tab_section[\"start_tabs_index\"]\n end = tab_section[\"end_tabs_index\"] + 1\n lines = [*lines[:start], rendered_tabs, *lines[end:]]\n tab_section = self.parse_tabs(lines)\n return lines\n\n def generate_content_blocks(self, tab_section: Dict[str, Any], lines: List[str]) -> str:\n tab_content_blocks = []\n for index, tab in enumerate(tab_section[\"tabs\"]):\n start_index = tab[\"start\"] + 1\n try:\n # If there are more tabs, we can use the starting index\n # of the next tab as the ending index of the previous one\n end_index = tab_section[\"tabs\"][index + 1][\"start\"]\n except IndexError:\n # Otherwise, just use the end of the entire section\n end_index = tab_section[\"end_tabs_index\"]\n\n content = \"\\n\".join(lines[start_index:end_index]).strip()\n tab_content_block = DIV_TAB_CONTENT_TEMPLATE.format(\n data_tab_key=tab[\"tab_key\"],\n # Wrapping the content in two newlines is necessary here.\n # If we don't do this, the inner Markdown does not get\n # rendered properly.\n content=f\"\\n{content}\\n\",\n )\n tab_content_blocks.append(tab_content_block)\n return \"\\n\".join(tab_content_blocks)\n\n def generate_nav_bar(self, tab_section: Dict[str, Any]) -> str:\n li_elements = []\n for tab in tab_section[\"tabs\"]:\n tab_key = tab.get(\"tab_key\")\n tab_label = TAB_SECTION_LABELS.get(tab_key)\n if tab_label is None:\n raise ValueError(\n f\"Tab '{tab_key}' is not present in TAB_SECTION_LABELS in zerver/lib/markdown/tabbed_sections.py\"\n )\n\n li = NAV_LIST_ITEM_TEMPLATE.format(data_tab_key=tab_key, label=tab_label)\n li_elements.append(li)\n\n return NAV_BAR_TEMPLATE.format(tabs=\"\\n\".join(li_elements))\n\n def parse_tabs(self, lines: List[str]) -> Optional[Dict[str, Any]]:\n block: Dict[str, Any] = {}\n for index, line in enumerate(lines):\n start_match = START_TABBED_SECTION_REGEX.search(line)\n if start_match:\n block[\"start_tabs_index\"] = index\n\n tab_content_match = TAB_CONTENT_REGEX.search(line)\n if tab_content_match:\n block.setdefault(\"tabs\", [])\n tab = {\"start\": index, \"tab_key\": tab_content_match.group(1)}\n block[\"tabs\"].append(tab)\n\n end_match = END_TABBED_SECTION_REGEX.search(line)\n if end_match:\n block[\"end_tabs_index\"] = index\n break\n return block\n\n\ndef makeExtension(*args: Any, **kwargs: str) -> TabbedSectionsGenerator:\n return TabbedSectionsGenerator(**kwargs)\n", "path": "zerver/lib/markdown/tabbed_sections.py" } ]
[ { "content": "import re\nfrom typing import Any, Dict, List, Mapping, Optional\n\nimport markdown\nfrom markdown.extensions import Extension\nfrom markdown.preprocessors import Preprocessor\nfrom typing_extensions import override\n\nfrom zerver.lib.markdown.priorities import PREPROCESSOR_PRIORITES\n\nSTART_TABBED_SECTION_REGEX = re.compile(r\"^\\{start_tabs\\}$\")\nEND_TABBED_SECTION_REGEX = re.compile(r\"^\\{end_tabs\\}$\")\nTAB_CONTENT_REGEX = re.compile(r\"^\\{tab\\|([^}]+)\\}$\")\n\nTABBED_SECTION_TEMPLATE = \"\"\"\n<div class=\"tabbed-section {tab_class}\" markdown=\"1\">\n{nav_bar}\n<div class=\"blocks\">\n{blocks}\n</div>\n</div>\n\"\"\".strip()\n\nNAV_BAR_TEMPLATE = \"\"\"\n<ul class=\"nav\">\n{tabs}\n</ul>\n\"\"\".strip()\n\nNAV_LIST_ITEM_TEMPLATE = \"\"\"\n<li data-tab-key=\"{data_tab_key}\" tabindex=\"0\">{label}</li>\n\"\"\".strip()\n\nDIV_TAB_CONTENT_TEMPLATE = \"\"\"\n<div data-tab-key=\"{data_tab_key}\" markdown=\"1\">\n{content}\n</div>\n\"\"\".strip()\n\n# If adding new entries here, also check if you need to update\n# tabbed-instructions.js\nTAB_SECTION_LABELS = {\n \"desktop-web\": \"Desktop/Web\",\n \"ios\": \"iOS\",\n \"android\": \"Android\",\n \"mac\": \"macOS\",\n \"windows\": \"Windows\",\n \"linux\": \"Linux\",\n \"most-systems\": \"Most systems\",\n \"linux-with-apt\": \"Linux with APT\",\n \"python\": \"Python\",\n \"js\": \"JavaScript\",\n \"curl\": \"curl\",\n \"zulip-send\": \"zulip-send\",\n \"web\": \"Web\",\n \"desktop\": \"Desktop\",\n \"mobile\": \"Mobile\",\n \"mm-default\": \"Default installation\",\n \"mm-cloud\": \"Cloud instance\",\n \"mm-docker\": \"Docker\",\n \"mm-gitlab-omnibus\": \"GitLab Omnibus\",\n \"mm-self-hosting-cloud-export\": \"Self hosting (cloud export)\",\n \"require-invitations\": \"Require invitations\",\n \"allow-anyone-to-join\": \"Allow anyone to join\",\n \"restrict-by-email-domain\": \"Restrict by email domain\",\n \"zoom\": \"Zoom\",\n \"jitsi-meet\": \"Jitsi Meet\",\n \"bigbluebutton\": \"BigBlueButton\",\n \"disable\": \"Disabled\",\n \"chrome\": \"Chrome\",\n \"firefox\": \"Firefox\",\n \"desktop-app\": \"Desktop app\",\n \"system-proxy-settings\": \"System proxy settings\",\n \"custom-proxy-settings\": \"Custom proxy settings\",\n \"stream\": \"From a stream view\",\n \"not-stream\": \"From other views\",\n \"via-recent-conversations\": \"Via recent conversations\",\n \"via-inbox-view\": \"Via inbox view\",\n \"via-left-sidebar\": \"Via left sidebar\",\n \"instructions-for-all-platforms\": \"Instructions for all platforms\",\n \"public-streams\": \"Public streams\",\n \"private-streams\": \"Private streams\",\n \"web-public-streams\": \"Web-public streams\",\n \"via-user-card\": \"Via user card\",\n \"via-user-profile\": \"Via user profile\",\n \"via-organization-settings\": \"Via organization settings\",\n \"via-personal-settings\": \"Via personal settings\",\n \"via-stream-settings\": \"Via stream settings\",\n \"default-subdomain\": \"Default subdomain\",\n \"custom-subdomain\": \"Custom subdomain\",\n \"zulip-cloud-standard\": \"Zulip Cloud Standard\",\n \"zulip-cloud-plus\": \"Zulip Cloud Plus\",\n \"request-sponsorship\": \"Request sponsorship\",\n \"request-education-pricing\": \"Request education pricing\",\n \"zulip-cloud\": \"Zulip Cloud\",\n \"self-hosting\": \"Self hosting\",\n \"okta\": \"Okta\",\n \"onelogin\": \"OneLogin\",\n \"azuread\": \"AzureAD\",\n \"keycloak\": \"Keycloak\",\n \"auth0\": \"Auth0\",\n \"logged-in\": \"If you are logged in\",\n \"logged-out\": \"If you are logged out\",\n \"user\": \"User\",\n \"bot\": \"Bot\",\n \"on-sign-up\": \"On sign-up\",\n \"via-paste\": \"Via paste\",\n \"via-drag-and-drop\": \"Via drag-and-drop\",\n \"via-markdown\": \"Via Markdown\",\n \"via-compose-box-buttons\": \"Via compose box buttons\",\n \"stream-compose\": \"Compose to a stream\",\n \"dm-compose\": \"Compose a DM\",\n \"v8\": \"Zulip Server 8.0+\",\n \"v6\": \"Zulip Server 6.0+\",\n \"v4\": \"Zulip Server 4.0+\",\n \"all-versions\": \"All versions\",\n \"for-a-bot\": \"For a bot\",\n \"for-yourself\": \"For yourself\",\n}\n\n\nclass TabbedSectionsGenerator(Extension):\n @override\n def extendMarkdown(self, md: markdown.Markdown) -> None:\n md.preprocessors.register(\n TabbedSectionsPreprocessor(md, self.getConfigs()),\n \"tabbed_sections\",\n PREPROCESSOR_PRIORITES[\"tabbed_sections\"],\n )\n\n\nclass TabbedSectionsPreprocessor(Preprocessor):\n def __init__(self, md: markdown.Markdown, config: Mapping[str, Any]) -> None:\n super().__init__(md)\n\n @override\n def run(self, lines: List[str]) -> List[str]:\n tab_section = self.parse_tabs(lines)\n while tab_section:\n if \"tabs\" in tab_section:\n tab_class = \"has-tabs\"\n else:\n tab_class = \"no-tabs\"\n tab_section[\"tabs\"] = [\n {\n \"tab_key\": \"instructions-for-all-platforms\",\n \"start\": tab_section[\"start_tabs_index\"],\n }\n ]\n nav_bar = self.generate_nav_bar(tab_section)\n content_blocks = self.generate_content_blocks(tab_section, lines)\n rendered_tabs = TABBED_SECTION_TEMPLATE.format(\n tab_class=tab_class, nav_bar=nav_bar, blocks=content_blocks\n )\n\n start = tab_section[\"start_tabs_index\"]\n end = tab_section[\"end_tabs_index\"] + 1\n lines = [*lines[:start], rendered_tabs, *lines[end:]]\n tab_section = self.parse_tabs(lines)\n return lines\n\n def generate_content_blocks(self, tab_section: Dict[str, Any], lines: List[str]) -> str:\n tab_content_blocks = []\n for index, tab in enumerate(tab_section[\"tabs\"]):\n start_index = tab[\"start\"] + 1\n try:\n # If there are more tabs, we can use the starting index\n # of the next tab as the ending index of the previous one\n end_index = tab_section[\"tabs\"][index + 1][\"start\"]\n except IndexError:\n # Otherwise, just use the end of the entire section\n end_index = tab_section[\"end_tabs_index\"]\n\n content = \"\\n\".join(lines[start_index:end_index]).strip()\n tab_content_block = DIV_TAB_CONTENT_TEMPLATE.format(\n data_tab_key=tab[\"tab_key\"],\n # Wrapping the content in two newlines is necessary here.\n # If we don't do this, the inner Markdown does not get\n # rendered properly.\n content=f\"\\n{content}\\n\",\n )\n tab_content_blocks.append(tab_content_block)\n return \"\\n\".join(tab_content_blocks)\n\n def generate_nav_bar(self, tab_section: Dict[str, Any]) -> str:\n li_elements = []\n for tab in tab_section[\"tabs\"]:\n tab_key = tab.get(\"tab_key\")\n tab_label = TAB_SECTION_LABELS.get(tab_key)\n if tab_label is None:\n raise ValueError(\n f\"Tab '{tab_key}' is not present in TAB_SECTION_LABELS in zerver/lib/markdown/tabbed_sections.py\"\n )\n\n li = NAV_LIST_ITEM_TEMPLATE.format(data_tab_key=tab_key, label=tab_label)\n li_elements.append(li)\n\n return NAV_BAR_TEMPLATE.format(tabs=\"\\n\".join(li_elements))\n\n def parse_tabs(self, lines: List[str]) -> Optional[Dict[str, Any]]:\n block: Dict[str, Any] = {}\n for index, line in enumerate(lines):\n start_match = START_TABBED_SECTION_REGEX.search(line)\n if start_match:\n block[\"start_tabs_index\"] = index\n\n tab_content_match = TAB_CONTENT_REGEX.search(line)\n if tab_content_match:\n block.setdefault(\"tabs\", [])\n tab = {\"start\": index, \"tab_key\": tab_content_match.group(1)}\n block[\"tabs\"].append(tab)\n\n end_match = END_TABBED_SECTION_REGEX.search(line)\n if end_match:\n block[\"end_tabs_index\"] = index\n break\n return block\n\n\ndef makeExtension(*args: Any, **kwargs: str) -> TabbedSectionsGenerator:\n return TabbedSectionsGenerator(**kwargs)\n", "path": "zerver/lib/markdown/tabbed_sections.py" } ]
diff --git a/help/desktop-app-install-guide.md b/help/desktop-app-install-guide.md index ba37ed5fe12b3..e42b17010324b 100644 --- a/help/desktop-app-install-guide.md +++ b/help/desktop-app-install-guide.md @@ -10,6 +10,7 @@ releases](#install-a-beta-release). ## Install the latest release {start_tabs} + {tab|mac} {!app-will-update-tip.md!} @@ -54,7 +55,7 @@ You can run the command `brew upgrade zulip` to immediately upgrade the app. {tab|linux} -#### APT *(Ubuntu or Debian 8+)* +#### APT *(Ubuntu or Debian)* !!! tip "" The app will be updated automatically to future versions when you do a @@ -63,12 +64,14 @@ You can run the command `brew upgrade zulip` to immediately upgrade the app. 1. Enter the following commands into a terminal: - sudo curl -fL -o /etc/apt/trusted.gpg.d/zulip-desktop.asc \ - https://download.zulip.com/desktop/apt/zulip-desktop.asc - echo "deb https://download.zulip.com/desktop/apt stable main" | \ - sudo tee /etc/apt/sources.list.d/zulip-desktop.list - sudo apt update - sudo apt install zulip + ``` + sudo curl -fL -o /etc/apt/trusted.gpg.d/zulip-desktop.asc \ + https://download.zulip.com/desktop/apt/zulip-desktop.asc + echo "deb https://download.zulip.com/desktop/apt stable main" | \ + sudo tee /etc/apt/sources.list.d/zulip-desktop.list + sudo apt update + sudo apt install zulip + ``` These commands set up the Zulip Desktop APT repository and its signing key, and then install the Zulip client. @@ -94,7 +97,9 @@ You can run the command `brew upgrade zulip` to immediately upgrade the app. 2. Execute following command to install Zulip: - sudo snap install zulip + ``` + sudo snap install zulip + ``` 3. Run Zulip from your app launcher, or with `zulip` from a terminal. @@ -106,12 +111,16 @@ system. 2. Use the following command from the official [Flathub page](https://flathub.org/apps/org.zulip.Zulip) to install Zulip: - flatpak install flathub org.zulip.Zulip + ``` + flatpak install flathub org.zulip.Zulip + ``` 3. After the installation is complete, you can run Zulip using the following command: - flatpak run org.zulip.Zulip + ``` + flatpak run org.zulip.Zulip + ``` {end_tabs} @@ -119,26 +128,64 @@ command: Get a peek at new features before they're released! -#### macOS, Windows, and most Linux distros +{start_tabs} + +{tab|most-systems} + +{!app-will-update-tip.md!} + +1. Go to the [Zulip releases][release-list] page on GitHub, and find the latest + version tagged with the “Pre-release” label. + +1. If there's a **Pre-release** that's more recent than the [latest release][latest], + download the appropriate Zulip beta installer or app for your system. -Start by finding the latest version marked "Pre-release" on the -[release list page][release-list]. There may or may not be a "Pre-release" -later than the latest release. If there is, download the appropriate Zulip -installer or app from there, and follow the instructions for your operating -system above. +1. To install and run Zulip, refer to the instructions for your operating + system in the [Install the latest release](#install-the-latest-release) + section above. -#### Linux with apt (Ubuntu or Debian 8+) +{tab|linux-with-apt} -If installing from scratch, follow the instructions above, except in the -command starting `echo "deb https://...` replace `stable` with `beta`. +!!! tip "" -If you've already installed the stable version, edit `zulip-desktop.list` and -reinstall: -``` -sudo sed -i s/stable/beta/ /etc/apt/sources.list.d/zulip-desktop.list -sudo apt update -sudo apt install zulip -``` + The app will be updated automatically to future versions when you do a + regular software update on your system, e.g., with + `sudo apt update && sudo apt upgrade`. + +#### You don't have the Zulip app installed + +1. Enter the following commands into a terminal: + + ``` + sudo curl -fL -o /etc/apt/trusted.gpg.d/zulip-desktop.asc \ + https://download.zulip.com/desktop/apt/zulip-desktop.asc + echo "deb https://download.zulip.com/desktop/apt beta main" | \ + sudo tee /etc/apt/sources.list.d/zulip-desktop.list + sudo apt update + sudo apt install zulip + ``` + + These commands set up the Zulip Desktop beta APT repository and its signing + key, and then install the Zulip beta client. + +1. Run Zulip from your app launcher, or with `zulip` from a terminal. + +#### You already have the Zulip app installed + +1. Enter the following commands into a terminal: + + ``` + sudo sed -i s/stable/beta/ /etc/apt/sources.list.d/zulip-desktop.list + sudo apt update + sudo apt install zulip + ``` + + These commands set up the Zulip Desktop beta APT repository, and then + install the Zulip beta client. + +1. Run Zulip from your app launcher, or with `zulip` from a terminal. + +{end_tabs} [latest]: https://github.com/zulip/zulip-desktop/releases/latest [release-list]: https://github.com/zulip/zulip-desktop/releases diff --git a/zerver/lib/markdown/tabbed_sections.py b/zerver/lib/markdown/tabbed_sections.py index c707eeb2be698..a6fe33e3ce5b2 100644 --- a/zerver/lib/markdown/tabbed_sections.py +++ b/zerver/lib/markdown/tabbed_sections.py @@ -46,6 +46,8 @@ "mac": "macOS", "windows": "Windows", "linux": "Linux", + "most-systems": "Most systems", + "linux-with-apt": "Linux with APT", "python": "Python", "js": "JavaScript", "curl": "curl",
Clean up beta app installation instructions Following up on #28884, we should convert the beta app installation instructions into our standard tabbed instructions format. I'm not sure about the best tab labels. Perhaps something like this? - Most systems - Linux with APT
scikit-image__scikit-image-1281
[ { "content": "import matplotlib.pyplot as plt\n\n\ndef imshow(*args, **kwargs):\n kwargs.setdefault('interpolation', 'nearest')\n kwargs.setdefault('cmap', 'gray')\n plt.imshow(*args, **kwargs)\n\nimread = plt.imread\nshow = plt.show\n\n\ndef _app_show():\n show()\n", "path": "skimage/io/_plugins/matplotlib_plugin.py" } ]
[ { "content": "import matplotlib.pyplot as plt\n\n\ndef imshow(*args, **kwargs):\n if plt.gca().has_data():\n plt.figure()\n kwargs.setdefault('interpolation', 'nearest')\n kwargs.setdefault('cmap', 'gray')\n plt.imshow(*args, **kwargs)\n\nimread = plt.imread\nshow = plt.show\n\n\ndef _app_show():\n show()\n", "path": "skimage/io/_plugins/matplotlib_plugin.py" } ]
diff --git a/skimage/io/_plugins/matplotlib_plugin.py b/skimage/io/_plugins/matplotlib_plugin.py index ece44d93c33..ec36ce04fba 100644 --- a/skimage/io/_plugins/matplotlib_plugin.py +++ b/skimage/io/_plugins/matplotlib_plugin.py @@ -2,6 +2,8 @@ def imshow(*args, **kwargs): + if plt.gca().has_data(): + plt.figure() kwargs.setdefault('interpolation', 'nearest') kwargs.setdefault('cmap', 'gray') plt.imshow(*args, **kwargs)
Bug: io.imshow() and io.show() do not work as expected in winows In my win7-x64 environemnt, io.imshow() and io.show() do not work as expected. I use io.imshow() to show mutiple images, and when I call io.show() to show all the images, only the last image shows. In linux, it works well and all the images will show when I call io.show()
frappe__frappe-21299
[ { "content": "# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors\n# License: MIT. See LICENSE\n\nimport datetime\nimport json\nimport os\nfrom datetime import timedelta\n\nimport frappe\nimport frappe.desk.reportview\nfrom frappe import _\nfrom frappe.core.utils import ljust_list\nfrom frappe.model.utils import render_include\nfrom frappe.modules import get_module_path, scrub\nfrom frappe.monitor import add_data_to_monitor\nfrom frappe.permissions import get_role_permissions\nfrom frappe.utils import (\n\tcint,\n\tcstr,\n\tflt,\n\tformat_duration,\n\tget_html_format,\n\tget_url_to_form,\n\tgzip_decompress,\n\tsbool,\n)\n\n\ndef get_report_doc(report_name):\n\tdoc = frappe.get_doc(\"Report\", report_name)\n\tdoc.custom_columns = []\n\tdoc.custom_filters = []\n\n\tif doc.report_type == \"Custom Report\":\n\t\tcustom_report_doc = doc\n\t\treference_report = custom_report_doc.reference_report\n\t\tdoc = frappe.get_doc(\"Report\", reference_report)\n\t\tdoc.custom_report = report_name\n\t\tif custom_report_doc.json:\n\t\t\tdata = json.loads(custom_report_doc.json)\n\t\t\tif data:\n\t\t\t\tdoc.custom_columns = data.get(\"columns\")\n\t\t\t\tdoc.custom_filters = data.get(\"filters\")\n\t\tdoc.is_custom_report = True\n\n\tif not doc.is_permitted():\n\t\tfrappe.throw(\n\t\t\t_(\"You don't have access to Report: {0}\").format(report_name),\n\t\t\tfrappe.PermissionError,\n\t\t)\n\n\tif not frappe.has_permission(doc.ref_doctype, \"report\"):\n\t\tfrappe.throw(\n\t\t\t_(\"You don't have permission to get a report on: {0}\").format(doc.ref_doctype),\n\t\t\tfrappe.PermissionError,\n\t\t)\n\n\tif doc.disabled:\n\t\tfrappe.throw(_(\"Report {0} is disabled\").format(report_name))\n\n\treturn doc\n\n\ndef get_report_result(report, filters):\n\tres = None\n\n\tif report.report_type == \"Query Report\":\n\t\tres = report.execute_query_report(filters)\n\n\telif report.report_type == \"Script Report\":\n\t\tres = report.execute_script_report(filters)\n\n\telif report.report_type == \"Custom Report\":\n\t\tref_report = get_report_doc(report.report_name)\n\t\tres = get_report_result(ref_report, filters)\n\n\treturn res\n\n\[email protected]_only()\ndef generate_report_result(\n\treport, filters=None, user=None, custom_columns=None, is_tree=False, parent_field=None\n):\n\tuser = user or frappe.session.user\n\tfilters = filters or []\n\n\tif filters and isinstance(filters, str):\n\t\tfilters = json.loads(filters)\n\n\tres = get_report_result(report, filters) or []\n\n\tcolumns, result, message, chart, report_summary, skip_total_row = ljust_list(res, 6)\n\tcolumns = [get_column_as_dict(col) for col in (columns or [])]\n\treport_column_names = [col[\"fieldname\"] for col in columns]\n\n\t# convert to list of dicts\n\tresult = normalize_result(result, columns)\n\n\tif report.custom_columns:\n\t\t# saved columns (with custom columns / with different column order)\n\t\tcolumns = report.custom_columns\n\n\t# unsaved custom_columns\n\tif custom_columns:\n\t\tfor custom_column in custom_columns:\n\t\t\tcolumns.insert(custom_column[\"insert_after_index\"] + 1, custom_column)\n\n\t# all columns which are not in original report\n\treport_custom_columns = [\n\t\tcolumn for column in columns if column[\"fieldname\"] not in report_column_names\n\t]\n\n\tif report_custom_columns:\n\t\tresult = add_custom_column_data(report_custom_columns, result)\n\n\tif result:\n\t\tresult = get_filtered_data(report.ref_doctype, columns, result, user)\n\n\tif cint(report.add_total_row) and result and not skip_total_row:\n\t\tresult = add_total_row(result, columns, is_tree=is_tree, parent_field=parent_field)\n\n\treturn {\n\t\t\"result\": result,\n\t\t\"columns\": columns,\n\t\t\"message\": message,\n\t\t\"chart\": chart,\n\t\t\"report_summary\": report_summary,\n\t\t\"skip_total_row\": skip_total_row or 0,\n\t\t\"status\": None,\n\t\t\"execution_time\": frappe.cache().hget(\"report_execution_time\", report.name) or 0,\n\t}\n\n\ndef normalize_result(result, columns):\n\t# Converts to list of dicts from list of lists/tuples\n\tdata = []\n\tcolumn_names = [column[\"fieldname\"] for column in columns]\n\tif result and isinstance(result[0], (list, tuple)):\n\t\tfor row in result:\n\t\t\trow_obj = {}\n\t\t\tfor idx, column_name in enumerate(column_names):\n\t\t\t\trow_obj[column_name] = row[idx]\n\t\t\tdata.append(row_obj)\n\telse:\n\t\tdata = result\n\n\treturn data\n\n\[email protected]()\ndef background_enqueue_run(report_name, filters=None, user=None):\n\tfrom frappe.core.doctype.prepared_report.prepared_report import make_prepared_report\n\n\treturn make_prepared_report(report_name, filters)\n\n\[email protected]()\ndef get_script(report_name):\n\treport = get_report_doc(report_name)\n\tmodule = report.module or frappe.db.get_value(\"DocType\", report.ref_doctype, \"module\")\n\n\tis_custom_module = frappe.get_cached_value(\"Module Def\", module, \"custom\")\n\n\t# custom modules are virtual modules those exists in DB but not in disk.\n\tmodule_path = \"\" if is_custom_module else get_module_path(module)\n\treport_folder = module_path and os.path.join(module_path, \"report\", scrub(report.name))\n\tscript_path = report_folder and os.path.join(report_folder, scrub(report.name) + \".js\")\n\tprint_path = report_folder and os.path.join(report_folder, scrub(report.name) + \".html\")\n\n\tscript = None\n\tif os.path.exists(script_path):\n\t\twith open(script_path) as f:\n\t\t\tscript = f.read()\n\t\t\tscript += f\"\\n\\n//# sourceURL={scrub(report.name)}.js\"\n\n\thtml_format = get_html_format(print_path)\n\n\tif not script and report.javascript:\n\t\tscript = report.javascript\n\t\tscript += f\"\\n\\n//# sourceURL={scrub(report.name)}__custom\"\n\n\tif not script:\n\t\tscript = \"frappe.query_reports['%s']={}\" % report_name\n\n\treturn {\n\t\t\"script\": render_include(script),\n\t\t\"html_format\": html_format,\n\t\t\"execution_time\": frappe.cache().hget(\"report_execution_time\", report_name) or 0,\n\t}\n\n\[email protected]()\[email protected]_only()\ndef run(\n\treport_name,\n\tfilters=None,\n\tuser=None,\n\tignore_prepared_report=False,\n\tcustom_columns=None,\n\tis_tree=False,\n\tparent_field=None,\n\tare_default_filters=True,\n):\n\treport = get_report_doc(report_name)\n\tif not user:\n\t\tuser = frappe.session.user\n\tif not frappe.has_permission(report.ref_doctype, \"report\"):\n\t\tfrappe.msgprint(\n\t\t\t_(\"Must have report permission to access this report.\"),\n\t\t\traise_exception=True,\n\t\t)\n\n\tif sbool(are_default_filters) and report.custom_filters:\n\t\tfilters = report.custom_filters\n\n\tif (\n\t\treport.prepared_report\n\t\tand not report.disable_prepared_report\n\t\tand not ignore_prepared_report\n\t\tand not custom_columns\n\t):\n\t\tdn = None\n\t\tif filters:\n\t\t\tif isinstance(filters, str):\n\t\t\t\tfilters = json.loads(filters)\n\n\t\t\tdn = filters.pop(\"prepared_report_name\", None)\n\n\t\tresult = get_prepared_report_result(report, filters, dn, user)\n\telse:\n\t\tresult = generate_report_result(report, filters, user, custom_columns, is_tree, parent_field)\n\t\tadd_data_to_monitor(report=report.reference_report or report.name)\n\n\tresult[\"add_total_row\"] = report.add_total_row and not result.get(\"skip_total_row\", False)\n\n\tif sbool(are_default_filters) and report.custom_filters:\n\t\tresult[\"custom_filters\"] = report.custom_filters\n\n\treturn result\n\n\ndef add_custom_column_data(custom_columns, result):\n\tcustom_column_data = get_data_for_custom_report(custom_columns)\n\n\tfor column in custom_columns:\n\t\tkey = (column.get(\"doctype\"), column.get(\"fieldname\"))\n\t\tif key in custom_column_data:\n\t\t\tfor row in result:\n\t\t\t\trow_reference = row.get(column.get(\"link_field\"))\n\t\t\t\t# possible if the row is empty\n\t\t\t\tif not row_reference:\n\t\t\t\t\tcontinue\n\t\t\t\trow[column.get(\"fieldname\")] = custom_column_data.get(key).get(row_reference)\n\n\treturn result\n\n\ndef get_prepared_report_result(report, filters, dn=None, user=None):\n\tfrom frappe.core.doctype.prepared_report.prepared_report import get_completed_prepared_report\n\n\tdef get_report_data(doc, data):\n\t\t# backwards compatibility - prepared report used to have a columns field,\n\t\t# we now directly fetch it from the result file\n\t\tif doc.get(\"columns\") or isinstance(data, list):\n\t\t\tcolumns = (doc.get(\"columns\") and json.loads(doc.columns)) or data[0]\n\t\t\tdata = {\"result\": data}\n\t\telse:\n\t\t\tcolumns = data.get(\"columns\")\n\n\t\tfor column in columns:\n\t\t\tif isinstance(column, dict) and column.get(\"label\"):\n\t\t\t\tcolumn[\"label\"] = _(column[\"label\"])\n\n\t\treturn data | {\"columns\": columns}\n\n\treport_data = {}\n\tif not dn:\n\t\tdn = get_completed_prepared_report(\n\t\t\tfilters, user, report.get(\"custom_report\") or report.get(\"report_name\")\n\t\t)\n\n\tdoc = frappe.get_doc(\"Prepared Report\", dn) if dn else None\n\tif doc:\n\t\ttry:\n\t\t\tif data := json.loads(doc.get_prepared_data().decode(\"utf-8\")):\n\t\t\t\treport_data = get_report_data(doc, data)\n\t\texcept Exception:\n\t\t\tdoc.log_error(\"Prepared report render failed\")\n\t\t\tfrappe.msgprint(_(\"Prepared report render failed\"))\n\t\t\tdoc = None\n\n\treturn report_data | {\"prepared_report\": True, \"doc\": doc}\n\n\[email protected]()\ndef export_query():\n\t\"\"\"export from query reports\"\"\"\n\tdata = frappe._dict(frappe.local.form_dict)\n\tdata.pop(\"cmd\", None)\n\tdata.pop(\"csrf_token\", None)\n\n\tif isinstance(data.get(\"filters\"), str):\n\t\tfilters = json.loads(data[\"filters\"])\n\n\tif data.get(\"report_name\"):\n\t\treport_name = data[\"report_name\"]\n\t\tfrappe.permissions.can_export(\n\t\t\tfrappe.get_cached_value(\"Report\", report_name, \"ref_doctype\"),\n\t\t\traise_exception=True,\n\t\t)\n\n\tfile_format_type = data.get(\"file_format_type\")\n\tcustom_columns = frappe.parse_json(data.get(\"custom_columns\", \"[]\"))\n\tinclude_indentation = data.get(\"include_indentation\")\n\tvisible_idx = data.get(\"visible_idx\")\n\n\tif isinstance(visible_idx, str):\n\t\tvisible_idx = json.loads(visible_idx)\n\n\tif file_format_type == \"Excel\":\n\t\tdata = run(report_name, filters, custom_columns=custom_columns, are_default_filters=False)\n\t\tdata = frappe._dict(data)\n\t\tif not data.columns:\n\t\t\tfrappe.respond_as_web_page(\n\t\t\t\t_(\"No data to export\"),\n\t\t\t\t_(\"You can try changing the filters of your report.\"),\n\t\t\t)\n\t\t\treturn\n\n\t\tfrom frappe.utils.xlsxutils import make_xlsx\n\n\t\tformat_duration_fields(data)\n\t\txlsx_data, column_widths = build_xlsx_data(data, visible_idx, include_indentation)\n\t\txlsx_file = make_xlsx(xlsx_data, \"Query Report\", column_widths=column_widths)\n\n\t\tfrappe.response[\"filename\"] = report_name + \".xlsx\"\n\t\tfrappe.response[\"filecontent\"] = xlsx_file.getvalue()\n\t\tfrappe.response[\"type\"] = \"binary\"\n\n\ndef format_duration_fields(data: frappe._dict) -> None:\n\tfor i, col in enumerate(data.columns):\n\t\tif col.get(\"fieldtype\") != \"Duration\":\n\t\t\tcontinue\n\n\t\tfor row in data.result:\n\t\t\tindex = col.get(\"fieldname\") if isinstance(row, dict) else i\n\t\t\tif row[index]:\n\t\t\t\trow[index] = format_duration(row[index])\n\n\ndef build_xlsx_data(data, visible_idx, include_indentation, ignore_visible_idx=False):\n\tEXCEL_TYPES = (\n\t\tstr,\n\t\tbool,\n\t\ttype(None),\n\t\tint,\n\t\tfloat,\n\t\tdatetime.datetime,\n\t\tdatetime.date,\n\t\tdatetime.time,\n\t\tdatetime.timedelta,\n\t)\n\n\tresult = [[]]\n\tcolumn_widths = []\n\n\tfor column in data.columns:\n\t\tif column.get(\"hidden\"):\n\t\t\tcontinue\n\t\tresult[0].append(_(column.get(\"label\")))\n\t\tcolumn_width = cint(column.get(\"width\", 0))\n\t\t# to convert into scale accepted by openpyxl\n\t\tcolumn_width /= 10\n\t\tcolumn_widths.append(column_width)\n\n\t# build table from result\n\tfor row_idx, row in enumerate(data.result):\n\t\t# only pick up rows that are visible in the report\n\t\tif ignore_visible_idx or row_idx in visible_idx:\n\t\t\trow_data = []\n\t\t\tif isinstance(row, dict):\n\t\t\t\tfor col_idx, column in enumerate(data.columns):\n\t\t\t\t\tif column.get(\"hidden\"):\n\t\t\t\t\t\tcontinue\n\t\t\t\t\tlabel = column.get(\"label\")\n\t\t\t\t\tfieldname = column.get(\"fieldname\")\n\t\t\t\t\tcell_value = row.get(fieldname, row.get(label, \"\"))\n\t\t\t\t\tif not isinstance(cell_value, EXCEL_TYPES):\n\t\t\t\t\t\tcell_value = cstr(cell_value)\n\n\t\t\t\t\tif cint(include_indentation) and \"indent\" in row and col_idx == 0:\n\t\t\t\t\t\tcell_value = (\" \" * cint(row[\"indent\"])) + cstr(cell_value)\n\t\t\t\t\trow_data.append(cell_value)\n\t\t\telif row:\n\t\t\t\trow_data = row\n\n\t\t\tresult.append(row_data)\n\n\treturn result, column_widths\n\n\ndef add_total_row(result, columns, meta=None, is_tree=False, parent_field=None):\n\ttotal_row = [\"\"] * len(columns)\n\thas_percent = []\n\n\tfor i, col in enumerate(columns):\n\t\tfieldtype, options, fieldname = None, None, None\n\t\tif isinstance(col, str):\n\t\t\tif meta:\n\t\t\t\t# get fieldtype from the meta\n\t\t\t\tfield = meta.get_field(col)\n\t\t\t\tif field:\n\t\t\t\t\tfieldtype = meta.get_field(col).fieldtype\n\t\t\t\t\tfieldname = meta.get_field(col).fieldname\n\t\t\telse:\n\t\t\t\tcol = col.split(\":\")\n\t\t\t\tif len(col) > 1:\n\t\t\t\t\tif col[1]:\n\t\t\t\t\t\tfieldtype = col[1]\n\t\t\t\t\t\tif \"/\" in fieldtype:\n\t\t\t\t\t\t\tfieldtype, options = fieldtype.split(\"/\")\n\t\t\t\t\telse:\n\t\t\t\t\t\tfieldtype = \"Data\"\n\t\telse:\n\t\t\tfieldtype = col.get(\"fieldtype\")\n\t\t\tfieldname = col.get(\"fieldname\")\n\t\t\toptions = col.get(\"options\")\n\n\t\tfor row in result:\n\t\t\tif i >= len(row):\n\t\t\t\tcontinue\n\t\t\tcell = row.get(fieldname) if isinstance(row, dict) else row[i]\n\t\t\tif fieldtype in [\"Currency\", \"Int\", \"Float\", \"Percent\", \"Duration\"] and flt(cell):\n\t\t\t\tif not (is_tree and row.get(parent_field)):\n\t\t\t\t\ttotal_row[i] = flt(total_row[i]) + flt(cell)\n\n\t\t\tif fieldtype == \"Percent\" and i not in has_percent:\n\t\t\t\thas_percent.append(i)\n\n\t\t\tif fieldtype == \"Time\" and cell:\n\t\t\t\tif not total_row[i]:\n\t\t\t\t\ttotal_row[i] = timedelta(hours=0, minutes=0, seconds=0)\n\t\t\t\ttotal_row[i] = total_row[i] + cell\n\n\t\tif fieldtype == \"Link\" and options == \"Currency\":\n\t\t\ttotal_row[i] = result[0].get(fieldname) if isinstance(result[0], dict) else result[0][i]\n\n\tfor i in has_percent:\n\t\ttotal_row[i] = flt(total_row[i]) / len(result)\n\n\tfirst_col_fieldtype = None\n\tif isinstance(columns[0], str):\n\t\tfirst_col = columns[0].split(\":\")\n\t\tif len(first_col) > 1:\n\t\t\tfirst_col_fieldtype = first_col[1].split(\"/\", 1)[0]\n\telse:\n\t\tfirst_col_fieldtype = columns[0].get(\"fieldtype\")\n\n\tif first_col_fieldtype not in [\"Currency\", \"Int\", \"Float\", \"Percent\", \"Date\"]:\n\t\ttotal_row[0] = _(\"Total\")\n\n\tresult.append(total_row)\n\treturn result\n\n\[email protected]()\ndef get_data_for_custom_field(doctype, field):\n\n\tif not frappe.has_permission(doctype, \"read\"):\n\t\tfrappe.throw(_(\"Not Permitted to read {0}\").format(doctype), frappe.PermissionError)\n\n\tvalue_map = frappe._dict(frappe.get_all(doctype, fields=[\"name\", field], as_list=1))\n\n\treturn value_map\n\n\ndef get_data_for_custom_report(columns):\n\tdoc_field_value_map = {}\n\n\tfor column in columns:\n\t\tif column.get(\"link_field\"):\n\t\t\tfieldname = column.get(\"fieldname\")\n\t\t\tdoctype = column.get(\"doctype\")\n\t\t\tdoc_field_value_map[(doctype, fieldname)] = get_data_for_custom_field(doctype, fieldname)\n\n\treturn doc_field_value_map\n\n\[email protected]()\ndef save_report(reference_report, report_name, columns, filters):\n\treport_doc = get_report_doc(reference_report)\n\n\tdocname = frappe.db.exists(\n\t\t\"Report\",\n\t\t{\n\t\t\t\"report_name\": report_name,\n\t\t\t\"is_standard\": \"No\",\n\t\t\t\"report_type\": \"Custom Report\",\n\t\t},\n\t)\n\n\tif docname:\n\t\treport = frappe.get_doc(\"Report\", docname)\n\t\texisting_jd = json.loads(report.json)\n\t\texisting_jd[\"columns\"] = json.loads(columns)\n\t\texisting_jd[\"filters\"] = json.loads(filters)\n\t\treport.update({\"json\": json.dumps(existing_jd, separators=(\",\", \":\"))})\n\t\treport.save()\n\t\tfrappe.msgprint(_(\"Report updated successfully\"))\n\n\t\treturn docname\n\telse:\n\t\tnew_report = frappe.get_doc(\n\t\t\t{\n\t\t\t\t\"doctype\": \"Report\",\n\t\t\t\t\"report_name\": report_name,\n\t\t\t\t\"json\": f'{{\"columns\":{columns},\"filters\":{filters}}}',\n\t\t\t\t\"ref_doctype\": report_doc.ref_doctype,\n\t\t\t\t\"is_standard\": \"No\",\n\t\t\t\t\"report_type\": \"Custom Report\",\n\t\t\t\t\"reference_report\": reference_report,\n\t\t\t}\n\t\t).insert(ignore_permissions=True)\n\t\tfrappe.msgprint(_(\"{0} saved successfully\").format(new_report.name))\n\t\treturn new_report.name\n\n\ndef get_filtered_data(ref_doctype, columns, data, user):\n\tresult = []\n\tlinked_doctypes = get_linked_doctypes(columns, data)\n\tmatch_filters_per_doctype = get_user_match_filters(linked_doctypes, user=user)\n\tshared = frappe.share.get_shared(ref_doctype, user)\n\tcolumns_dict = get_columns_dict(columns)\n\n\trole_permissions = get_role_permissions(frappe.get_meta(ref_doctype), user)\n\tif_owner = role_permissions.get(\"if_owner\", {}).get(\"report\")\n\n\tif match_filters_per_doctype:\n\t\tfor row in data:\n\t\t\t# Why linked_doctypes.get(ref_doctype)? because if column is empty, linked_doctypes[ref_doctype] is removed\n\t\t\tif linked_doctypes.get(ref_doctype) and shared and row[linked_doctypes[ref_doctype]] in shared:\n\t\t\t\tresult.append(row)\n\n\t\t\telif has_match(\n\t\t\t\trow,\n\t\t\t\tlinked_doctypes,\n\t\t\t\tmatch_filters_per_doctype,\n\t\t\t\tref_doctype,\n\t\t\t\tif_owner,\n\t\t\t\tcolumns_dict,\n\t\t\t\tuser,\n\t\t\t):\n\t\t\t\tresult.append(row)\n\telse:\n\t\tresult = list(data)\n\n\treturn result\n\n\ndef has_match(\n\trow,\n\tlinked_doctypes,\n\tdoctype_match_filters,\n\tref_doctype,\n\tif_owner,\n\tcolumns_dict,\n\tuser,\n):\n\t\"\"\"Returns True if after evaluating permissions for each linked doctype\n\t- There is an owner match for the ref_doctype\n\t- `and` There is a user permission match for all linked doctypes\n\n\tReturns True if the row is empty\n\n\tNote:\n\tEach doctype could have multiple conflicting user permission doctypes.\n\tHence even if one of the sets allows a match, it is true.\n\tThis behavior is equivalent to the trickling of user permissions of linked doctypes to the ref doctype.\n\t\"\"\"\n\tresultant_match = True\n\n\tif not row:\n\t\t# allow empty rows :)\n\t\treturn resultant_match\n\n\tfor doctype, filter_list in doctype_match_filters.items():\n\t\tmatched_for_doctype = False\n\n\t\tif doctype == ref_doctype and if_owner:\n\t\t\tidx = linked_doctypes.get(\"User\")\n\t\t\tif idx is not None and row[idx] == user and columns_dict[idx] == columns_dict.get(\"owner\"):\n\t\t\t\t# owner match is true\n\t\t\t\tmatched_for_doctype = True\n\n\t\tif not matched_for_doctype:\n\t\t\tfor match_filters in filter_list:\n\t\t\t\tmatch = True\n\t\t\t\tfor dt, idx in linked_doctypes.items():\n\t\t\t\t\t# case handled above\n\t\t\t\t\tif dt == \"User\" and columns_dict[idx] == columns_dict.get(\"owner\"):\n\t\t\t\t\t\tcontinue\n\n\t\t\t\t\tcell_value = None\n\t\t\t\t\tif isinstance(row, dict):\n\t\t\t\t\t\tcell_value = row.get(idx)\n\t\t\t\t\telif isinstance(row, (list, tuple)):\n\t\t\t\t\t\tcell_value = row[idx]\n\n\t\t\t\t\tif (\n\t\t\t\t\t\tdt in match_filters\n\t\t\t\t\t\tand cell_value not in match_filters.get(dt)\n\t\t\t\t\t\tand frappe.db.exists(dt, cell_value)\n\t\t\t\t\t):\n\t\t\t\t\t\tmatch = False\n\t\t\t\t\t\tbreak\n\n\t\t\t\t# each doctype could have multiple conflicting user permission doctypes, hence using OR\n\t\t\t\t# so that even if one of the sets allows a match, it is true\n\t\t\t\tmatched_for_doctype = matched_for_doctype or match\n\n\t\t\t\tif matched_for_doctype:\n\t\t\t\t\tbreak\n\n\t\t# each doctype's user permissions should match the row! hence using AND\n\t\tresultant_match = resultant_match and matched_for_doctype\n\n\t\tif not resultant_match:\n\t\t\tbreak\n\n\treturn resultant_match\n\n\ndef get_linked_doctypes(columns, data):\n\tlinked_doctypes = {}\n\n\tcolumns_dict = get_columns_dict(columns)\n\n\tfor idx, col in enumerate(columns):\n\t\tdf = columns_dict[idx]\n\t\tif df.get(\"fieldtype\") == \"Link\":\n\t\t\tif data and isinstance(data[0], (list, tuple)):\n\t\t\t\tlinked_doctypes[df[\"options\"]] = idx\n\t\t\telse:\n\t\t\t\t# dict\n\t\t\t\tlinked_doctypes[df[\"options\"]] = df[\"fieldname\"]\n\n\t# remove doctype if column is empty\n\tcolumns_with_value = []\n\tfor row in data:\n\t\tif row:\n\t\t\tif len(row) != len(columns_with_value):\n\t\t\t\tif isinstance(row, (list, tuple)):\n\t\t\t\t\trow = enumerate(row)\n\t\t\t\telif isinstance(row, dict):\n\t\t\t\t\trow = row.items()\n\n\t\t\t\tfor col, val in row:\n\t\t\t\t\tif val and col not in columns_with_value:\n\t\t\t\t\t\tcolumns_with_value.append(col)\n\n\titems = list(linked_doctypes.items())\n\n\tfor doctype, key in items:\n\t\tif key not in columns_with_value:\n\t\t\tdel linked_doctypes[doctype]\n\n\treturn linked_doctypes\n\n\ndef get_columns_dict(columns):\n\t\"\"\"Returns a dict with column docfield values as dict\n\tThe keys for the dict are both idx and fieldname,\n\tso either index or fieldname can be used to search for a column's docfield properties\n\t\"\"\"\n\tcolumns_dict = frappe._dict()\n\tfor idx, col in enumerate(columns):\n\t\tcol_dict = get_column_as_dict(col)\n\t\tcolumns_dict[idx] = col_dict\n\t\tcolumns_dict[col_dict[\"fieldname\"]] = col_dict\n\n\treturn columns_dict\n\n\ndef get_column_as_dict(col):\n\tcol_dict = frappe._dict()\n\n\t# string\n\tif isinstance(col, str):\n\t\tcol = col.split(\":\")\n\t\tif len(col) > 1:\n\t\t\tif \"/\" in col[1]:\n\t\t\t\tcol_dict[\"fieldtype\"], col_dict[\"options\"] = col[1].split(\"/\")\n\t\t\telse:\n\t\t\t\tcol_dict[\"fieldtype\"] = col[1]\n\t\t\tif len(col) == 3:\n\t\t\t\tcol_dict[\"width\"] = col[2]\n\n\t\tcol_dict[\"label\"] = col[0]\n\t\tcol_dict[\"fieldname\"] = frappe.scrub(col[0])\n\n\t# dict\n\telse:\n\t\tcol_dict.update(col)\n\t\tif \"fieldname\" not in col_dict:\n\t\t\tcol_dict[\"fieldname\"] = frappe.scrub(col_dict[\"label\"])\n\n\treturn col_dict\n\n\ndef get_user_match_filters(doctypes, user):\n\tmatch_filters = {}\n\n\tfor dt in doctypes:\n\t\tfilter_list = frappe.desk.reportview.build_match_conditions(dt, user, False)\n\t\tif filter_list:\n\t\t\tmatch_filters[dt] = filter_list\n\n\treturn match_filters\n", "path": "frappe/desk/query_report.py" } ]
[ { "content": "# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors\n# License: MIT. See LICENSE\n\nimport datetime\nimport json\nimport os\nfrom datetime import timedelta\n\nimport frappe\nimport frappe.desk.reportview\nfrom frappe import _\nfrom frappe.core.utils import ljust_list\nfrom frappe.model.utils import render_include\nfrom frappe.modules import get_module_path, scrub\nfrom frappe.monitor import add_data_to_monitor\nfrom frappe.permissions import get_role_permissions\nfrom frappe.utils import (\n\tcint,\n\tcstr,\n\tflt,\n\tformat_duration,\n\tget_html_format,\n\tget_url_to_form,\n\tgzip_decompress,\n\tsbool,\n)\n\n\ndef get_report_doc(report_name):\n\tdoc = frappe.get_doc(\"Report\", report_name)\n\tdoc.custom_columns = []\n\tdoc.custom_filters = []\n\n\tif doc.report_type == \"Custom Report\":\n\t\tcustom_report_doc = doc\n\t\treference_report = custom_report_doc.reference_report\n\t\tdoc = frappe.get_doc(\"Report\", reference_report)\n\t\tdoc.custom_report = report_name\n\t\tif custom_report_doc.json:\n\t\t\tdata = json.loads(custom_report_doc.json)\n\t\t\tif data:\n\t\t\t\tdoc.custom_columns = data.get(\"columns\")\n\t\t\t\tdoc.custom_filters = data.get(\"filters\")\n\t\tdoc.is_custom_report = True\n\n\tif not doc.is_permitted():\n\t\tfrappe.throw(\n\t\t\t_(\"You don't have access to Report: {0}\").format(report_name),\n\t\t\tfrappe.PermissionError,\n\t\t)\n\n\tif not frappe.has_permission(doc.ref_doctype, \"report\"):\n\t\tfrappe.throw(\n\t\t\t_(\"You don't have permission to get a report on: {0}\").format(doc.ref_doctype),\n\t\t\tfrappe.PermissionError,\n\t\t)\n\n\tif doc.disabled:\n\t\tfrappe.throw(_(\"Report {0} is disabled\").format(report_name))\n\n\treturn doc\n\n\ndef get_report_result(report, filters):\n\tres = None\n\n\tif report.report_type == \"Query Report\":\n\t\tres = report.execute_query_report(filters)\n\n\telif report.report_type == \"Script Report\":\n\t\tres = report.execute_script_report(filters)\n\n\telif report.report_type == \"Custom Report\":\n\t\tref_report = get_report_doc(report.report_name)\n\t\tres = get_report_result(ref_report, filters)\n\n\treturn res\n\n\[email protected]_only()\ndef generate_report_result(\n\treport, filters=None, user=None, custom_columns=None, is_tree=False, parent_field=None\n):\n\tuser = user or frappe.session.user\n\tfilters = filters or []\n\n\tif filters and isinstance(filters, str):\n\t\tfilters = json.loads(filters)\n\n\tres = get_report_result(report, filters) or []\n\n\tcolumns, result, message, chart, report_summary, skip_total_row = ljust_list(res, 6)\n\tcolumns = [get_column_as_dict(col) for col in (columns or [])]\n\treport_column_names = [col[\"fieldname\"] for col in columns]\n\n\t# convert to list of dicts\n\tresult = normalize_result(result, columns)\n\n\tif report.custom_columns:\n\t\t# saved columns (with custom columns / with different column order)\n\t\tcolumns = report.custom_columns\n\n\t# unsaved custom_columns\n\tif custom_columns:\n\t\tfor custom_column in custom_columns:\n\t\t\tcolumns.insert(custom_column[\"insert_after_index\"] + 1, custom_column)\n\n\t# all columns which are not in original report\n\treport_custom_columns = [\n\t\tcolumn for column in columns if column[\"fieldname\"] not in report_column_names\n\t]\n\n\tif report_custom_columns:\n\t\tresult = add_custom_column_data(report_custom_columns, result)\n\n\tif result:\n\t\tresult = get_filtered_data(report.ref_doctype, columns, result, user)\n\n\tif cint(report.add_total_row) and result and not skip_total_row:\n\t\tresult = add_total_row(result, columns, is_tree=is_tree, parent_field=parent_field)\n\n\treturn {\n\t\t\"result\": result,\n\t\t\"columns\": columns,\n\t\t\"message\": message,\n\t\t\"chart\": chart,\n\t\t\"report_summary\": report_summary,\n\t\t\"skip_total_row\": skip_total_row or 0,\n\t\t\"status\": None,\n\t\t\"execution_time\": frappe.cache().hget(\"report_execution_time\", report.name) or 0,\n\t}\n\n\ndef normalize_result(result, columns):\n\t# Converts to list of dicts from list of lists/tuples\n\tdata = []\n\tcolumn_names = [column[\"fieldname\"] for column in columns]\n\tif result and isinstance(result[0], (list, tuple)):\n\t\tfor row in result:\n\t\t\trow_obj = {}\n\t\t\tfor idx, column_name in enumerate(column_names):\n\t\t\t\trow_obj[column_name] = row[idx]\n\t\t\tdata.append(row_obj)\n\telse:\n\t\tdata = result\n\n\treturn data\n\n\[email protected]()\ndef background_enqueue_run(report_name, filters=None, user=None):\n\tfrom frappe.core.doctype.prepared_report.prepared_report import make_prepared_report\n\n\treturn make_prepared_report(report_name, filters)\n\n\[email protected]()\ndef get_script(report_name):\n\treport = get_report_doc(report_name)\n\tmodule = report.module or frappe.db.get_value(\"DocType\", report.ref_doctype, \"module\")\n\n\tis_custom_module = frappe.get_cached_value(\"Module Def\", module, \"custom\")\n\n\t# custom modules are virtual modules those exists in DB but not in disk.\n\tmodule_path = \"\" if is_custom_module else get_module_path(module)\n\treport_folder = module_path and os.path.join(module_path, \"report\", scrub(report.name))\n\tscript_path = report_folder and os.path.join(report_folder, scrub(report.name) + \".js\")\n\tprint_path = report_folder and os.path.join(report_folder, scrub(report.name) + \".html\")\n\n\tscript = None\n\tif os.path.exists(script_path):\n\t\twith open(script_path) as f:\n\t\t\tscript = f.read()\n\t\t\tscript += f\"\\n\\n//# sourceURL={scrub(report.name)}.js\"\n\n\thtml_format = get_html_format(print_path)\n\n\tif not script and report.javascript:\n\t\tscript = report.javascript\n\t\tscript += f\"\\n\\n//# sourceURL={scrub(report.name)}__custom\"\n\n\tif not script:\n\t\tscript = \"frappe.query_reports['%s']={}\" % report_name\n\n\treturn {\n\t\t\"script\": render_include(script),\n\t\t\"html_format\": html_format,\n\t\t\"execution_time\": frappe.cache().hget(\"report_execution_time\", report_name) or 0,\n\t\t\"filters\": report.filters,\n\t}\n\n\[email protected]()\[email protected]_only()\ndef run(\n\treport_name,\n\tfilters=None,\n\tuser=None,\n\tignore_prepared_report=False,\n\tcustom_columns=None,\n\tis_tree=False,\n\tparent_field=None,\n\tare_default_filters=True,\n):\n\treport = get_report_doc(report_name)\n\tif not user:\n\t\tuser = frappe.session.user\n\tif not frappe.has_permission(report.ref_doctype, \"report\"):\n\t\tfrappe.msgprint(\n\t\t\t_(\"Must have report permission to access this report.\"),\n\t\t\traise_exception=True,\n\t\t)\n\n\tif sbool(are_default_filters) and report.custom_filters:\n\t\tfilters = report.custom_filters\n\n\tif (\n\t\treport.prepared_report\n\t\tand not report.disable_prepared_report\n\t\tand not ignore_prepared_report\n\t\tand not custom_columns\n\t):\n\t\tdn = None\n\t\tif filters:\n\t\t\tif isinstance(filters, str):\n\t\t\t\tfilters = json.loads(filters)\n\n\t\t\tdn = filters.pop(\"prepared_report_name\", None)\n\n\t\tresult = get_prepared_report_result(report, filters, dn, user)\n\telse:\n\t\tresult = generate_report_result(report, filters, user, custom_columns, is_tree, parent_field)\n\t\tadd_data_to_monitor(report=report.reference_report or report.name)\n\n\tresult[\"add_total_row\"] = report.add_total_row and not result.get(\"skip_total_row\", False)\n\n\tif sbool(are_default_filters) and report.custom_filters:\n\t\tresult[\"custom_filters\"] = report.custom_filters\n\n\treturn result\n\n\ndef add_custom_column_data(custom_columns, result):\n\tcustom_column_data = get_data_for_custom_report(custom_columns)\n\n\tfor column in custom_columns:\n\t\tkey = (column.get(\"doctype\"), column.get(\"fieldname\"))\n\t\tif key in custom_column_data:\n\t\t\tfor row in result:\n\t\t\t\trow_reference = row.get(column.get(\"link_field\"))\n\t\t\t\t# possible if the row is empty\n\t\t\t\tif not row_reference:\n\t\t\t\t\tcontinue\n\t\t\t\trow[column.get(\"fieldname\")] = custom_column_data.get(key).get(row_reference)\n\n\treturn result\n\n\ndef get_prepared_report_result(report, filters, dn=None, user=None):\n\tfrom frappe.core.doctype.prepared_report.prepared_report import get_completed_prepared_report\n\n\tdef get_report_data(doc, data):\n\t\t# backwards compatibility - prepared report used to have a columns field,\n\t\t# we now directly fetch it from the result file\n\t\tif doc.get(\"columns\") or isinstance(data, list):\n\t\t\tcolumns = (doc.get(\"columns\") and json.loads(doc.columns)) or data[0]\n\t\t\tdata = {\"result\": data}\n\t\telse:\n\t\t\tcolumns = data.get(\"columns\")\n\n\t\tfor column in columns:\n\t\t\tif isinstance(column, dict) and column.get(\"label\"):\n\t\t\t\tcolumn[\"label\"] = _(column[\"label\"])\n\n\t\treturn data | {\"columns\": columns}\n\n\treport_data = {}\n\tif not dn:\n\t\tdn = get_completed_prepared_report(\n\t\t\tfilters, user, report.get(\"custom_report\") or report.get(\"report_name\")\n\t\t)\n\n\tdoc = frappe.get_doc(\"Prepared Report\", dn) if dn else None\n\tif doc:\n\t\ttry:\n\t\t\tif data := json.loads(doc.get_prepared_data().decode(\"utf-8\")):\n\t\t\t\treport_data = get_report_data(doc, data)\n\t\texcept Exception:\n\t\t\tdoc.log_error(\"Prepared report render failed\")\n\t\t\tfrappe.msgprint(_(\"Prepared report render failed\"))\n\t\t\tdoc = None\n\n\treturn report_data | {\"prepared_report\": True, \"doc\": doc}\n\n\[email protected]()\ndef export_query():\n\t\"\"\"export from query reports\"\"\"\n\tdata = frappe._dict(frappe.local.form_dict)\n\tdata.pop(\"cmd\", None)\n\tdata.pop(\"csrf_token\", None)\n\n\tif isinstance(data.get(\"filters\"), str):\n\t\tfilters = json.loads(data[\"filters\"])\n\n\tif data.get(\"report_name\"):\n\t\treport_name = data[\"report_name\"]\n\t\tfrappe.permissions.can_export(\n\t\t\tfrappe.get_cached_value(\"Report\", report_name, \"ref_doctype\"),\n\t\t\traise_exception=True,\n\t\t)\n\n\tfile_format_type = data.get(\"file_format_type\")\n\tcustom_columns = frappe.parse_json(data.get(\"custom_columns\", \"[]\"))\n\tinclude_indentation = data.get(\"include_indentation\")\n\tvisible_idx = data.get(\"visible_idx\")\n\n\tif isinstance(visible_idx, str):\n\t\tvisible_idx = json.loads(visible_idx)\n\n\tif file_format_type == \"Excel\":\n\t\tdata = run(report_name, filters, custom_columns=custom_columns, are_default_filters=False)\n\t\tdata = frappe._dict(data)\n\t\tif not data.columns:\n\t\t\tfrappe.respond_as_web_page(\n\t\t\t\t_(\"No data to export\"),\n\t\t\t\t_(\"You can try changing the filters of your report.\"),\n\t\t\t)\n\t\t\treturn\n\n\t\tfrom frappe.utils.xlsxutils import make_xlsx\n\n\t\tformat_duration_fields(data)\n\t\txlsx_data, column_widths = build_xlsx_data(data, visible_idx, include_indentation)\n\t\txlsx_file = make_xlsx(xlsx_data, \"Query Report\", column_widths=column_widths)\n\n\t\tfrappe.response[\"filename\"] = report_name + \".xlsx\"\n\t\tfrappe.response[\"filecontent\"] = xlsx_file.getvalue()\n\t\tfrappe.response[\"type\"] = \"binary\"\n\n\ndef format_duration_fields(data: frappe._dict) -> None:\n\tfor i, col in enumerate(data.columns):\n\t\tif col.get(\"fieldtype\") != \"Duration\":\n\t\t\tcontinue\n\n\t\tfor row in data.result:\n\t\t\tindex = col.get(\"fieldname\") if isinstance(row, dict) else i\n\t\t\tif row[index]:\n\t\t\t\trow[index] = format_duration(row[index])\n\n\ndef build_xlsx_data(data, visible_idx, include_indentation, ignore_visible_idx=False):\n\tEXCEL_TYPES = (\n\t\tstr,\n\t\tbool,\n\t\ttype(None),\n\t\tint,\n\t\tfloat,\n\t\tdatetime.datetime,\n\t\tdatetime.date,\n\t\tdatetime.time,\n\t\tdatetime.timedelta,\n\t)\n\n\tresult = [[]]\n\tcolumn_widths = []\n\n\tfor column in data.columns:\n\t\tif column.get(\"hidden\"):\n\t\t\tcontinue\n\t\tresult[0].append(_(column.get(\"label\")))\n\t\tcolumn_width = cint(column.get(\"width\", 0))\n\t\t# to convert into scale accepted by openpyxl\n\t\tcolumn_width /= 10\n\t\tcolumn_widths.append(column_width)\n\n\t# build table from result\n\tfor row_idx, row in enumerate(data.result):\n\t\t# only pick up rows that are visible in the report\n\t\tif ignore_visible_idx or row_idx in visible_idx:\n\t\t\trow_data = []\n\t\t\tif isinstance(row, dict):\n\t\t\t\tfor col_idx, column in enumerate(data.columns):\n\t\t\t\t\tif column.get(\"hidden\"):\n\t\t\t\t\t\tcontinue\n\t\t\t\t\tlabel = column.get(\"label\")\n\t\t\t\t\tfieldname = column.get(\"fieldname\")\n\t\t\t\t\tcell_value = row.get(fieldname, row.get(label, \"\"))\n\t\t\t\t\tif not isinstance(cell_value, EXCEL_TYPES):\n\t\t\t\t\t\tcell_value = cstr(cell_value)\n\n\t\t\t\t\tif cint(include_indentation) and \"indent\" in row and col_idx == 0:\n\t\t\t\t\t\tcell_value = (\" \" * cint(row[\"indent\"])) + cstr(cell_value)\n\t\t\t\t\trow_data.append(cell_value)\n\t\t\telif row:\n\t\t\t\trow_data = row\n\n\t\t\tresult.append(row_data)\n\n\treturn result, column_widths\n\n\ndef add_total_row(result, columns, meta=None, is_tree=False, parent_field=None):\n\ttotal_row = [\"\"] * len(columns)\n\thas_percent = []\n\n\tfor i, col in enumerate(columns):\n\t\tfieldtype, options, fieldname = None, None, None\n\t\tif isinstance(col, str):\n\t\t\tif meta:\n\t\t\t\t# get fieldtype from the meta\n\t\t\t\tfield = meta.get_field(col)\n\t\t\t\tif field:\n\t\t\t\t\tfieldtype = meta.get_field(col).fieldtype\n\t\t\t\t\tfieldname = meta.get_field(col).fieldname\n\t\t\telse:\n\t\t\t\tcol = col.split(\":\")\n\t\t\t\tif len(col) > 1:\n\t\t\t\t\tif col[1]:\n\t\t\t\t\t\tfieldtype = col[1]\n\t\t\t\t\t\tif \"/\" in fieldtype:\n\t\t\t\t\t\t\tfieldtype, options = fieldtype.split(\"/\")\n\t\t\t\t\telse:\n\t\t\t\t\t\tfieldtype = \"Data\"\n\t\telse:\n\t\t\tfieldtype = col.get(\"fieldtype\")\n\t\t\tfieldname = col.get(\"fieldname\")\n\t\t\toptions = col.get(\"options\")\n\n\t\tfor row in result:\n\t\t\tif i >= len(row):\n\t\t\t\tcontinue\n\t\t\tcell = row.get(fieldname) if isinstance(row, dict) else row[i]\n\t\t\tif fieldtype in [\"Currency\", \"Int\", \"Float\", \"Percent\", \"Duration\"] and flt(cell):\n\t\t\t\tif not (is_tree and row.get(parent_field)):\n\t\t\t\t\ttotal_row[i] = flt(total_row[i]) + flt(cell)\n\n\t\t\tif fieldtype == \"Percent\" and i not in has_percent:\n\t\t\t\thas_percent.append(i)\n\n\t\t\tif fieldtype == \"Time\" and cell:\n\t\t\t\tif not total_row[i]:\n\t\t\t\t\ttotal_row[i] = timedelta(hours=0, minutes=0, seconds=0)\n\t\t\t\ttotal_row[i] = total_row[i] + cell\n\n\t\tif fieldtype == \"Link\" and options == \"Currency\":\n\t\t\ttotal_row[i] = result[0].get(fieldname) if isinstance(result[0], dict) else result[0][i]\n\n\tfor i in has_percent:\n\t\ttotal_row[i] = flt(total_row[i]) / len(result)\n\n\tfirst_col_fieldtype = None\n\tif isinstance(columns[0], str):\n\t\tfirst_col = columns[0].split(\":\")\n\t\tif len(first_col) > 1:\n\t\t\tfirst_col_fieldtype = first_col[1].split(\"/\", 1)[0]\n\telse:\n\t\tfirst_col_fieldtype = columns[0].get(\"fieldtype\")\n\n\tif first_col_fieldtype not in [\"Currency\", \"Int\", \"Float\", \"Percent\", \"Date\"]:\n\t\ttotal_row[0] = _(\"Total\")\n\n\tresult.append(total_row)\n\treturn result\n\n\[email protected]()\ndef get_data_for_custom_field(doctype, field):\n\n\tif not frappe.has_permission(doctype, \"read\"):\n\t\tfrappe.throw(_(\"Not Permitted to read {0}\").format(doctype), frappe.PermissionError)\n\n\tvalue_map = frappe._dict(frappe.get_all(doctype, fields=[\"name\", field], as_list=1))\n\n\treturn value_map\n\n\ndef get_data_for_custom_report(columns):\n\tdoc_field_value_map = {}\n\n\tfor column in columns:\n\t\tif column.get(\"link_field\"):\n\t\t\tfieldname = column.get(\"fieldname\")\n\t\t\tdoctype = column.get(\"doctype\")\n\t\t\tdoc_field_value_map[(doctype, fieldname)] = get_data_for_custom_field(doctype, fieldname)\n\n\treturn doc_field_value_map\n\n\[email protected]()\ndef save_report(reference_report, report_name, columns, filters):\n\treport_doc = get_report_doc(reference_report)\n\n\tdocname = frappe.db.exists(\n\t\t\"Report\",\n\t\t{\n\t\t\t\"report_name\": report_name,\n\t\t\t\"is_standard\": \"No\",\n\t\t\t\"report_type\": \"Custom Report\",\n\t\t},\n\t)\n\n\tif docname:\n\t\treport = frappe.get_doc(\"Report\", docname)\n\t\texisting_jd = json.loads(report.json)\n\t\texisting_jd[\"columns\"] = json.loads(columns)\n\t\texisting_jd[\"filters\"] = json.loads(filters)\n\t\treport.update({\"json\": json.dumps(existing_jd, separators=(\",\", \":\"))})\n\t\treport.save()\n\t\tfrappe.msgprint(_(\"Report updated successfully\"))\n\n\t\treturn docname\n\telse:\n\t\tnew_report = frappe.get_doc(\n\t\t\t{\n\t\t\t\t\"doctype\": \"Report\",\n\t\t\t\t\"report_name\": report_name,\n\t\t\t\t\"json\": f'{{\"columns\":{columns},\"filters\":{filters}}}',\n\t\t\t\t\"ref_doctype\": report_doc.ref_doctype,\n\t\t\t\t\"is_standard\": \"No\",\n\t\t\t\t\"report_type\": \"Custom Report\",\n\t\t\t\t\"reference_report\": reference_report,\n\t\t\t}\n\t\t).insert(ignore_permissions=True)\n\t\tfrappe.msgprint(_(\"{0} saved successfully\").format(new_report.name))\n\t\treturn new_report.name\n\n\ndef get_filtered_data(ref_doctype, columns, data, user):\n\tresult = []\n\tlinked_doctypes = get_linked_doctypes(columns, data)\n\tmatch_filters_per_doctype = get_user_match_filters(linked_doctypes, user=user)\n\tshared = frappe.share.get_shared(ref_doctype, user)\n\tcolumns_dict = get_columns_dict(columns)\n\n\trole_permissions = get_role_permissions(frappe.get_meta(ref_doctype), user)\n\tif_owner = role_permissions.get(\"if_owner\", {}).get(\"report\")\n\n\tif match_filters_per_doctype:\n\t\tfor row in data:\n\t\t\t# Why linked_doctypes.get(ref_doctype)? because if column is empty, linked_doctypes[ref_doctype] is removed\n\t\t\tif linked_doctypes.get(ref_doctype) and shared and row[linked_doctypes[ref_doctype]] in shared:\n\t\t\t\tresult.append(row)\n\n\t\t\telif has_match(\n\t\t\t\trow,\n\t\t\t\tlinked_doctypes,\n\t\t\t\tmatch_filters_per_doctype,\n\t\t\t\tref_doctype,\n\t\t\t\tif_owner,\n\t\t\t\tcolumns_dict,\n\t\t\t\tuser,\n\t\t\t):\n\t\t\t\tresult.append(row)\n\telse:\n\t\tresult = list(data)\n\n\treturn result\n\n\ndef has_match(\n\trow,\n\tlinked_doctypes,\n\tdoctype_match_filters,\n\tref_doctype,\n\tif_owner,\n\tcolumns_dict,\n\tuser,\n):\n\t\"\"\"Returns True if after evaluating permissions for each linked doctype\n\t- There is an owner match for the ref_doctype\n\t- `and` There is a user permission match for all linked doctypes\n\n\tReturns True if the row is empty\n\n\tNote:\n\tEach doctype could have multiple conflicting user permission doctypes.\n\tHence even if one of the sets allows a match, it is true.\n\tThis behavior is equivalent to the trickling of user permissions of linked doctypes to the ref doctype.\n\t\"\"\"\n\tresultant_match = True\n\n\tif not row:\n\t\t# allow empty rows :)\n\t\treturn resultant_match\n\n\tfor doctype, filter_list in doctype_match_filters.items():\n\t\tmatched_for_doctype = False\n\n\t\tif doctype == ref_doctype and if_owner:\n\t\t\tidx = linked_doctypes.get(\"User\")\n\t\t\tif idx is not None and row[idx] == user and columns_dict[idx] == columns_dict.get(\"owner\"):\n\t\t\t\t# owner match is true\n\t\t\t\tmatched_for_doctype = True\n\n\t\tif not matched_for_doctype:\n\t\t\tfor match_filters in filter_list:\n\t\t\t\tmatch = True\n\t\t\t\tfor dt, idx in linked_doctypes.items():\n\t\t\t\t\t# case handled above\n\t\t\t\t\tif dt == \"User\" and columns_dict[idx] == columns_dict.get(\"owner\"):\n\t\t\t\t\t\tcontinue\n\n\t\t\t\t\tcell_value = None\n\t\t\t\t\tif isinstance(row, dict):\n\t\t\t\t\t\tcell_value = row.get(idx)\n\t\t\t\t\telif isinstance(row, (list, tuple)):\n\t\t\t\t\t\tcell_value = row[idx]\n\n\t\t\t\t\tif (\n\t\t\t\t\t\tdt in match_filters\n\t\t\t\t\t\tand cell_value not in match_filters.get(dt)\n\t\t\t\t\t\tand frappe.db.exists(dt, cell_value)\n\t\t\t\t\t):\n\t\t\t\t\t\tmatch = False\n\t\t\t\t\t\tbreak\n\n\t\t\t\t# each doctype could have multiple conflicting user permission doctypes, hence using OR\n\t\t\t\t# so that even if one of the sets allows a match, it is true\n\t\t\t\tmatched_for_doctype = matched_for_doctype or match\n\n\t\t\t\tif matched_for_doctype:\n\t\t\t\t\tbreak\n\n\t\t# each doctype's user permissions should match the row! hence using AND\n\t\tresultant_match = resultant_match and matched_for_doctype\n\n\t\tif not resultant_match:\n\t\t\tbreak\n\n\treturn resultant_match\n\n\ndef get_linked_doctypes(columns, data):\n\tlinked_doctypes = {}\n\n\tcolumns_dict = get_columns_dict(columns)\n\n\tfor idx, col in enumerate(columns):\n\t\tdf = columns_dict[idx]\n\t\tif df.get(\"fieldtype\") == \"Link\":\n\t\t\tif data and isinstance(data[0], (list, tuple)):\n\t\t\t\tlinked_doctypes[df[\"options\"]] = idx\n\t\t\telse:\n\t\t\t\t# dict\n\t\t\t\tlinked_doctypes[df[\"options\"]] = df[\"fieldname\"]\n\n\t# remove doctype if column is empty\n\tcolumns_with_value = []\n\tfor row in data:\n\t\tif row:\n\t\t\tif len(row) != len(columns_with_value):\n\t\t\t\tif isinstance(row, (list, tuple)):\n\t\t\t\t\trow = enumerate(row)\n\t\t\t\telif isinstance(row, dict):\n\t\t\t\t\trow = row.items()\n\n\t\t\t\tfor col, val in row:\n\t\t\t\t\tif val and col not in columns_with_value:\n\t\t\t\t\t\tcolumns_with_value.append(col)\n\n\titems = list(linked_doctypes.items())\n\n\tfor doctype, key in items:\n\t\tif key not in columns_with_value:\n\t\t\tdel linked_doctypes[doctype]\n\n\treturn linked_doctypes\n\n\ndef get_columns_dict(columns):\n\t\"\"\"Returns a dict with column docfield values as dict\n\tThe keys for the dict are both idx and fieldname,\n\tso either index or fieldname can be used to search for a column's docfield properties\n\t\"\"\"\n\tcolumns_dict = frappe._dict()\n\tfor idx, col in enumerate(columns):\n\t\tcol_dict = get_column_as_dict(col)\n\t\tcolumns_dict[idx] = col_dict\n\t\tcolumns_dict[col_dict[\"fieldname\"]] = col_dict\n\n\treturn columns_dict\n\n\ndef get_column_as_dict(col):\n\tcol_dict = frappe._dict()\n\n\t# string\n\tif isinstance(col, str):\n\t\tcol = col.split(\":\")\n\t\tif len(col) > 1:\n\t\t\tif \"/\" in col[1]:\n\t\t\t\tcol_dict[\"fieldtype\"], col_dict[\"options\"] = col[1].split(\"/\")\n\t\t\telse:\n\t\t\t\tcol_dict[\"fieldtype\"] = col[1]\n\t\t\tif len(col) == 3:\n\t\t\t\tcol_dict[\"width\"] = col[2]\n\n\t\tcol_dict[\"label\"] = col[0]\n\t\tcol_dict[\"fieldname\"] = frappe.scrub(col[0])\n\n\t# dict\n\telse:\n\t\tcol_dict.update(col)\n\t\tif \"fieldname\" not in col_dict:\n\t\t\tcol_dict[\"fieldname\"] = frappe.scrub(col_dict[\"label\"])\n\n\treturn col_dict\n\n\ndef get_user_match_filters(doctypes, user):\n\tmatch_filters = {}\n\n\tfor dt in doctypes:\n\t\tfilter_list = frappe.desk.reportview.build_match_conditions(dt, user, False)\n\t\tif filter_list:\n\t\t\tmatch_filters[dt] = filter_list\n\n\treturn match_filters\n", "path": "frappe/desk/query_report.py" } ]
diff --git a/frappe/desk/query_report.py b/frappe/desk/query_report.py index 32ab9db64151..8639ad1ff0ca 100644 --- a/frappe/desk/query_report.py +++ b/frappe/desk/query_report.py @@ -186,6 +186,7 @@ def get_script(report_name): "script": render_include(script), "html_format": html_format, "execution_time": frappe.cache().hget("report_execution_time", report_name) or 0, + "filters": report.filters, } diff --git a/frappe/public/js/frappe/views/reports/report_utils.js b/frappe/public/js/frappe/views/reports/report_utils.js index b2444ce07f2b..9c843f3c034c 100644 --- a/frappe/public/js/frappe/views/reports/report_utils.js +++ b/frappe/public/js/frappe/views/reports/report_utils.js @@ -126,6 +126,13 @@ frappe.report_utils = { .then((r) => { frappe.dom.eval(r.script || ""); return frappe.after_ajax(() => { + if ( + frappe.query_reports[report_name] && + !frappe.query_reports[report_name].filter && + r.filters + ) { + return (frappe.query_reports[report_name].filters = r.filters); + } return ( frappe.query_reports[report_name] && frappe.query_reports[report_name].filters
New Dashboard Chart throws TypeError: format requires a mapping ## Description of the issue I have created an elementary, stripped-down report to demonstrate the problem. It has one filter called "period" of type "Select" and has three options, as shown below: Period (filter field) ![01](https://github.com/frappe/frappe/assets/364244/fe86625d-262c-48f7-bebd-5d31e4350be7) The report doc: ![02](https://github.com/frappe/frappe/assets/364244/e528e5c3-f0d6-4c69-91fd-c4fec0976d44) When I run the report using the "Show Report" button and select one of the filter options, it simply lists that option, as shown below. ![03](https://github.com/frappe/frappe/assets/364244/b9f10978-15c7-4cb5-a5db-553cbbdc6e34) The next step is to create a chart out of this report. I open the New Dashboard Chart screen, specify Chart Name, change Chart Type to Report and select "Test Report" from the "Report Name" list. ![04](https://github.com/frappe/frappe/assets/364244/b81b1605-04e6-416c-96ea-30259aeada31) ### Observed result As soon as I select the report name in the dropdown, It shows the following error: ![05](https://github.com/frappe/frappe/assets/364244/8cc4a548-773b-4224-8c37-8eb40c1aa3f4) ### Expected result I should be able to select fields in the X-field and Y-axis as well as Filters should be populated. ### Stacktrace / full error message ### App Versions ``` { "erpnext": "14.25.1", "frappe": "14.36.3", "payments": "0.0.1" } ``` ### Route ``` Form/Dashboard Chart/new-dashboard-chart-3 ``` ### Traceback ``` Traceback (most recent call last): File "apps/frappe/frappe/app.py", line 66, in application response = frappe.api.handle() File "apps/frappe/frappe/api.py", line 54, in handle return frappe.handler.handle() File "apps/frappe/frappe/handler.py", line 45, in handle data = execute_cmd(cmd) File "apps/frappe/frappe/handler.py", line 83, in execute_cmd return frappe.call(method, **frappe.form_dict) File "apps/frappe/frappe/__init__.py", line 1607, in call return fn(*args, **newargs) File "apps/frappe/frappe/__init__.py", line 789, in wrapper_fn retval = fn(*args, **get_newargs(fn, kwargs)) File "apps/frappe/frappe/desk/query_report.py", line 231, in run result = generate_report_result(report, filters, user, custom_columns, is_tree, parent_field) File "apps/frappe/frappe/__init__.py", line 789, in wrapper_fn retval = fn(*args, **get_newargs(fn, kwargs)) File "apps/frappe/frappe/desk/query_report.py", line 90, in generate_report_result res = get_report_result(report, filters) or [] File "apps/frappe/frappe/desk/query_report.py", line 68, in get_report_result res = report.execute_query_report(filters) File "apps/frappe/frappe/core/doctype/report/report.py", line 117, in execute_query_report result = [list(t) for t in frappe.db.sql(self.query, filters)] File "apps/frappe/frappe/database/database.py", line 219, in sql self._cursor.execute(query, values) File "env/lib/python3.10/site-packages/pymysql/cursors.py", line 156, in execute query = self.mogrify(query, args) File "env/lib/python3.10/site-packages/pymysql/cursors.py", line 134, in mogrify query = query % self._escape_args(args, conn) TypeError: format requires a mapping ``` ### Request Data ``` { "type": "POST", "args": { "report_name": "Sales Profitability", "filters": null, "ignore_prepared_report": 1 }, "headers": {}, "error_handlers": {}, "url": "/api/method/frappe.desk.query_report.run" } ``` ### Response Data ``` { "exception": "TypeError: format requires a mapping" } ``` ## Additional information Hosted on Frappe Cloud
arviz-devs__arviz-996
[ { "content": "# pylint: disable=too-many-nested-blocks\n\"\"\"General utilities.\"\"\"\nimport importlib\nimport functools\nimport warnings\nimport numpy as np\nfrom numpy import newaxis\nimport matplotlib.pyplot as plt\n\nfrom .rcparams import rcParams\n\n\ndef _var_names(var_names, data):\n \"\"\"Handle var_names input across arviz.\n\n Parameters\n ----------\n var_names: str, list, or None\n data : xarray.Dataset\n Posterior data in an xarray\n Returns\n -------\n var_name: list or None\n \"\"\"\n if var_names is not None:\n\n if isinstance(var_names, str):\n var_names = [var_names]\n\n if isinstance(data, (list, tuple)):\n all_vars = []\n for dataset in data:\n dataset_vars = list(dataset.data_vars)\n for var in dataset_vars:\n if var not in all_vars:\n all_vars.append(var)\n else:\n all_vars = list(data.data_vars)\n\n excluded_vars = [i[1:] for i in var_names if i.startswith(\"~\") and i not in all_vars]\n\n all_vars_tilde = [i for i in all_vars if i.startswith(\"~\")]\n\n if all_vars_tilde:\n warnings.warn(\n \"\"\"ArviZ treats '~' as a negation character for variable selection.\n Your model has variables names starting with '~', {0}. Please double check\n your results to ensure all variables are included\"\"\".format(\n \", \".join(all_vars_tilde)\n )\n )\n\n if excluded_vars:\n var_names = [i for i in all_vars if i not in excluded_vars]\n\n existent_vars = np.isin(var_names, all_vars)\n if not np.all(existent_vars):\n raise KeyError(\n \"{} var names are not present in dataset\".format(\n np.array(var_names)[~existent_vars]\n )\n )\n\n return var_names\n\n\nclass lazy_property: # pylint: disable=invalid-name\n \"\"\"Used to load numba first time it is needed.\"\"\"\n\n def __init__(self, fget):\n \"\"\"Lazy load a property with `fget`.\"\"\"\n self.fget = fget\n\n # copy the getter function's docstring and other attributes\n functools.update_wrapper(self, fget)\n\n def __get__(self, obj, cls):\n \"\"\"Call the function, set the attribute.\"\"\"\n if obj is None:\n return self\n\n value = self.fget(obj)\n setattr(obj, self.fget.__name__, value)\n return value\n\n\nclass maybe_numba_fn: # pylint: disable=invalid-name\n \"\"\"Wrap a function to (maybe) use a (lazy) jit-compiled version.\"\"\"\n\n def __init__(self, function, **kwargs):\n \"\"\"Wrap a function and save compilation keywords.\"\"\"\n self.function = function\n self.kwargs = kwargs\n\n @lazy_property\n def numba_fn(self):\n \"\"\"Memoized compiled function.\"\"\"\n try:\n numba = importlib.import_module(\"numba\")\n numba_fn = numba.jit(**self.kwargs)(self.function)\n except ImportError:\n numba_fn = self.function\n return numba_fn\n\n def __call__(self, *args, **kwargs):\n \"\"\"Call the jitted function or normal, depending on flag.\"\"\"\n if Numba.numba_flag:\n return self.numba_fn(*args, **kwargs)\n else:\n return self.function(*args, **kwargs)\n\n\nclass interactive_backend: # pylint: disable=invalid-name\n \"\"\"Context manager to change backend temporarily in ipython sesson.\n\n It uses ipython magic to change temporarily from the ipython inline backend to\n an interactive backend of choice. It cannot be used outside ipython sessions nor\n to change backends different than inline -> interactive.\n\n Notes\n -----\n The first time ``interactive_backend`` context manager is called, any of the available\n interactive backends can be chosen. The following times, this same backend must be used\n unless the kernel is restarted.\n\n Parameters\n ----------\n backend : str, optional\n Interactive backend to use. It will be passed to ``%matplotlib`` magic, refer to\n its docs to see available options.\n\n Examples\n --------\n Inside an ipython session (i.e. a jupyter notebook) with the inline backend set:\n\n .. code::\n\n >>> import arviz as az\n >>> idata = az.load_arviz_data(\"centered_eight\")\n >>> az.plot_posterior(idata) # inline\n >>> with az.interactive_backend():\n ... az.plot_density(idata) # interactive\n >>> az.plot_trace(idata) # inline\n\n \"\"\"\n\n # based on matplotlib.rc_context\n def __init__(self, backend=\"\"):\n \"\"\"Initialize context manager.\"\"\"\n try:\n from IPython import get_ipython\n except ImportError as err:\n raise ImportError(\n \"The exception below was risen while importing Ipython, this \"\n \"context manager can only be used inside ipython sessions:\\n{}\".format(err)\n )\n self.ipython = get_ipython()\n if self.ipython is None:\n raise EnvironmentError(\"This context manager can only be used inside ipython sessions\")\n self.ipython.magic(\"matplotlib {}\".format(backend))\n\n def __enter__(self):\n \"\"\"Enter context manager.\"\"\"\n return self\n\n def __exit__(self, exc_type, exc_value, exc_tb):\n \"\"\"Exit context manager.\"\"\"\n plt.show(block=True)\n self.ipython.magic(\"matplotlib inline\")\n\n\ndef conditional_jit(_func=None, **kwargs):\n \"\"\"Use numba's jit decorator if numba is installed.\n\n Notes\n -----\n If called without arguments then return wrapped function.\n\n @conditional_jit\n def my_func():\n return\n\n else called with arguments\n\n @conditional_jit(nopython=True)\n def my_func():\n return\n\n \"\"\"\n if _func is None:\n return lambda fn: functools.wraps(fn)(maybe_numba_fn(fn, **kwargs))\n else:\n lazy_numba = maybe_numba_fn(_func, **kwargs)\n return functools.wraps(_func)(lazy_numba)\n\n\ndef conditional_vect(function=None, **kwargs): # noqa: D202\n \"\"\"Use numba's vectorize decorator if numba is installed.\n\n Notes\n -----\n If called without arguments then return wrapped function.\n @conditional_vect\n def my_func():\n return\n else called with arguments\n @conditional_vect(nopython=True)\n def my_func():\n return\n\n \"\"\"\n\n def wrapper(function):\n try:\n numba = importlib.import_module(\"numba\")\n return numba.vectorize(**kwargs)(function)\n\n except ImportError:\n return function\n\n if function:\n return wrapper(function)\n else:\n return wrapper\n\n\ndef numba_check():\n \"\"\"Check if numba is installed.\"\"\"\n numba = importlib.util.find_spec(\"numba\")\n return numba is not None\n\n\nclass Numba:\n \"\"\"A class to toggle numba states.\"\"\"\n\n numba_flag = numba_check()\n\n @classmethod\n def disable_numba(cls):\n \"\"\"To disable numba.\"\"\"\n cls.numba_flag = False\n\n @classmethod\n def enable_numba(cls):\n \"\"\"To enable numba.\"\"\"\n if numba_check():\n cls.numba_flag = True\n else:\n raise ValueError(\"Numba is not installed\")\n\n\ndef _numba_var(numba_function, standard_numpy_func, data, axis=None, ddof=0):\n \"\"\"Replace the numpy methods used to calculate variance.\n\n Parameters\n ----------\n numba_function : function()\n Custom numba function included in stats/stats_utils.py.\n\n standard_numpy_func: function()\n Standard function included in the numpy library.\n\n data : array.\n axis : axis along which the variance is calculated.\n ddof : degrees of freedom allowed while calculating variance.\n\n Returns\n -------\n array:\n variance values calculate by appropriate function for numba speedup\n if Numba is installed or enabled.\n\n \"\"\"\n if Numba.numba_flag:\n return numba_function(data, axis=axis, ddof=ddof)\n else:\n return standard_numpy_func(data, axis=axis, ddof=ddof)\n\n\ndef _stack(x, y):\n assert x.shape[1:] == y.shape[1:]\n return np.vstack((x, y))\n\n\ndef arange(x):\n \"\"\"Jitting numpy arange.\"\"\"\n return np.arange(x)\n\n\ndef one_de(x):\n \"\"\"Jitting numpy atleast_1d.\"\"\"\n if not isinstance(x, np.ndarray):\n return np.atleast_1d(x)\n if x.ndim == 0:\n result = x.reshape(1)\n else:\n result = x\n return result\n\n\ndef two_de(x):\n \"\"\"Jitting numpy at_least_2d.\"\"\"\n if not isinstance(x, np.ndarray):\n return np.atleast_2d(x)\n if x.ndim == 0:\n result = x.reshape(1, 1)\n elif x.ndim == 1:\n result = x[newaxis, :]\n else:\n result = x\n return result\n\n\ndef expand_dims(x):\n \"\"\"Jitting numpy expand_dims.\"\"\"\n if not isinstance(x, np.ndarray):\n return np.expand_dims(x, 0)\n shape = x.shape\n return x.reshape(shape[:0] + (1,) + shape[0:])\n\n\n@conditional_jit(parallel=True)\ndef full(shape, x, dtype=None):\n \"\"\"Jitting numpy full.\"\"\"\n return np.full(shape, x, dtype=dtype)\n\n\ndef flat_inference_data_to_dict(\n data,\n var_names=None,\n groups=None,\n dimensions=None,\n group_info=False,\n var_name_format=None,\n index_origin=None,\n):\n \"\"\"Transform data to dictionary.\n\n Parameters\n ----------\n data : obj\n Any object that can be converted to an az.InferenceData object\n Refer to documentation of az.convert_to_inference_data for details\n var_names : str or list of str, optional\n Variables to be processed, if None all variables are processed.\n groups : str or list of str, optional\n Select groups for CDS. Default groups are {\"posterior_groups\", \"prior_groups\"}\n - posterior_groups: posterior, posterior_predictive, sample_stats\n - prior_groups: prior, prior_predictive, sample_stats_prior\n ignore_groups : str or list of str, optional\n Ignore specific groups from CDS.\n dimension : str, or list of str, optional\n Select dimensions along to slice the data. By default uses (\"chain\", \"draw\").\n group_info : bool\n Add group info for `var_name_format`\n var_name_format : str or tuple of tuple of string, optional\n Select column name format for non-scalar input.\n Predefined options are {\"brackets\", \"underscore\", \"cds\"}\n \"brackets\":\n - add_group_info == False: theta[0,0]\n - add_group_info == True: theta_posterior[0,0]\n \"underscore\":\n - add_group_info == False: theta_0_0\n - add_group_info == True: theta_posterior_0_0_\n \"cds\":\n - add_group_info == False: theta_ARVIZ_CDS_SELECTION_0_0\n - add_group_info == True: theta_ARVIZ_GROUP_posterior__ARVIZ_CDS_SELECTION_0_0\n tuple:\n Structure:\n tuple: (dim_info, group_info)\n dim_info: (str: `.join` separator,\n str: dim_separator_start,\n str: dim_separator_end)\n group_info: (str: group separator start, str: group separator end)\n Example: ((\",\", \"[\", \"]\"), (\"_\", \"\"))\n - add_group_info == False: theta[0,0]\n - add_group_info == True: theta_posterior[0,0]\n index_origin : int, optional\n Start parameter indices from `index_origin`. Either 0 or 1.\n\n Returns\n -------\n dict\n \"\"\"\n from .data import convert_to_inference_data\n\n data = convert_to_inference_data(data)\n\n if groups is None:\n groups = [\"posterior\", \"posterior_predictive\", \"sample_stats\"]\n elif isinstance(groups, str):\n if groups.lower() == \"posterior_groups\":\n groups = [\"posterior\", \"posterior_predictive\", \"sample_stats\"]\n elif groups.lower() == \"prior_groups\":\n groups = [\"prior\", \"prior_predictive\", \"sample_stats_prior\"]\n else:\n raise TypeError(\"Valid predefined groups are {posterior_groups, prior_groups}\")\n\n if dimensions is None:\n dimensions = \"chain\", \"draw\"\n elif isinstance(dimensions, str):\n dimensions = (dimensions,)\n\n if var_name_format is None:\n var_name_format = \"brackets\"\n\n if isinstance(var_name_format, str):\n var_name_format = var_name_format.lower()\n\n if var_name_format == \"brackets\":\n dim_join_separator, dim_separator_start, dim_separator_end = \",\", \"[\", \"]\"\n group_separator_start, group_separator_end = \"_\", \"\"\n elif var_name_format == \"underscore\":\n dim_join_separator, dim_separator_start, dim_separator_end = \"_\", \"_\", \"\"\n group_separator_start, group_separator_end = \"_\", \"\"\n elif var_name_format == \"cds\":\n dim_join_separator, dim_separator_start, dim_separator_end = (\n \"_\",\n \"_ARVIZ_CDS_SELECTION_\",\n \"\",\n )\n group_separator_start, group_separator_end = \"_ARVIZ_GROUP_\", \"\"\n elif isinstance(var_name_format, str):\n msg = 'Invalid predefined format. Select one {\"brackets\", \"underscore\", \"cds\"}'\n raise TypeError(msg)\n else:\n (\n (dim_join_separator, dim_separator_start, dim_separator_end),\n (group_separator_start, group_separator_end),\n ) = var_name_format\n\n if index_origin is None:\n index_origin = rcParams[\"data.index_origin\"]\n\n data_dict = {}\n for group in groups:\n if hasattr(data, group):\n group_data = getattr(data, group).stack(stack_dimension=dimensions)\n for var_name, var in group_data.data_vars.items():\n var_values = var.values\n if var_names is not None and var_name not in var_names:\n continue\n for dim_name in dimensions:\n if dim_name not in data_dict:\n data_dict[dim_name] = var.coords.get(dim_name).values\n if len(var.shape) == 1:\n if group_info:\n var_name_dim = (\n \"{var_name}\" \"{group_separator_start}{group}{group_separator_end}\"\n ).format(\n var_name=var_name,\n group_separator_start=group_separator_start,\n group=group,\n group_separator_end=group_separator_end,\n )\n else:\n var_name_dim = \"{var_name}\".format(var_name=var_name)\n data_dict[var_name_dim] = var.values\n else:\n for loc in np.ndindex(var.shape[:-1]):\n if group_info:\n var_name_dim = (\n \"{var_name}\"\n \"{group_separator_start}{group}{group_separator_end}\"\n \"{dim_separator_start}{dim_join}{dim_separator_end}\"\n ).format(\n var_name=var_name,\n group_separator_start=group_separator_start,\n group=group,\n group_separator_end=group_separator_end,\n dim_separator_start=dim_separator_start,\n dim_join=dim_join_separator.join(\n (str(item + index_origin) for item in loc)\n ),\n dim_separator_end=dim_separator_end,\n )\n else:\n var_name_dim = (\n \"{var_name}\" \"{dim_separator_start}{dim_join}{dim_separator_end}\"\n ).format(\n var_name=var_name,\n dim_separator_start=dim_separator_start,\n dim_join=dim_join_separator.join(\n (str(item + index_origin) for item in loc)\n ),\n dim_separator_end=dim_separator_end,\n )\n\n data_dict[var_name_dim] = var_values[loc]\n return data_dict\n", "path": "arviz/utils.py" } ]
[ { "content": "# pylint: disable=too-many-nested-blocks\n\"\"\"General utilities.\"\"\"\nimport importlib\nimport functools\nimport warnings\nimport numpy as np\nfrom numpy import newaxis\nimport matplotlib.pyplot as plt\n\nfrom .rcparams import rcParams\n\n\ndef _var_names(var_names, data):\n \"\"\"Handle var_names input across arviz.\n\n Parameters\n ----------\n var_names: str, list, or None\n data : xarray.Dataset\n Posterior data in an xarray\n Returns\n -------\n var_name: list or None\n \"\"\"\n if var_names is not None:\n\n if isinstance(var_names, str):\n var_names = [var_names]\n\n if isinstance(data, (list, tuple)):\n all_vars = []\n for dataset in data:\n dataset_vars = list(dataset.data_vars)\n for var in dataset_vars:\n if var not in all_vars:\n all_vars.append(var)\n else:\n all_vars = list(data.data_vars)\n\n excluded_vars = [i[1:] for i in var_names if i.startswith(\"~\") and i not in all_vars]\n\n all_vars_tilde = [i for i in all_vars if i.startswith(\"~\")]\n\n if all_vars_tilde:\n warnings.warn(\n \"\"\"ArviZ treats '~' as a negation character for variable selection.\n Your model has variables names starting with '~', {0}. Please double check\n your results to ensure all variables are included\"\"\".format(\n \", \".join(all_vars_tilde)\n )\n )\n\n if excluded_vars:\n var_names = [i for i in all_vars if i not in excluded_vars]\n\n existent_vars = np.isin(var_names, all_vars)\n if not np.all(existent_vars):\n raise KeyError(\n \"{} var names are not present in dataset\".format(\n np.array(var_names)[~existent_vars]\n )\n )\n\n return var_names\n\n\nclass lazy_property: # pylint: disable=invalid-name\n \"\"\"Used to load numba first time it is needed.\"\"\"\n\n def __init__(self, fget):\n \"\"\"Lazy load a property with `fget`.\"\"\"\n self.fget = fget\n\n # copy the getter function's docstring and other attributes\n functools.update_wrapper(self, fget)\n\n def __get__(self, obj, cls):\n \"\"\"Call the function, set the attribute.\"\"\"\n if obj is None:\n return self\n\n value = self.fget(obj)\n setattr(obj, self.fget.__name__, value)\n return value\n\n\nclass maybe_numba_fn: # pylint: disable=invalid-name\n \"\"\"Wrap a function to (maybe) use a (lazy) jit-compiled version.\"\"\"\n\n def __init__(self, function, **kwargs):\n \"\"\"Wrap a function and save compilation keywords.\"\"\"\n self.function = function\n self.kwargs = kwargs\n\n @lazy_property\n def numba_fn(self):\n \"\"\"Memoized compiled function.\"\"\"\n try:\n numba = importlib.import_module(\"numba\")\n numba_fn = numba.jit(**self.kwargs)(self.function)\n except ImportError:\n numba_fn = self.function\n return numba_fn\n\n def __call__(self, *args, **kwargs):\n \"\"\"Call the jitted function or normal, depending on flag.\"\"\"\n if Numba.numba_flag:\n return self.numba_fn(*args, **kwargs)\n else:\n return self.function(*args, **kwargs)\n\n\nclass interactive_backend: # pylint: disable=invalid-name\n \"\"\"Context manager to change backend temporarily in ipython sesson.\n\n It uses ipython magic to change temporarily from the ipython inline backend to\n an interactive backend of choice. It cannot be used outside ipython sessions nor\n to change backends different than inline -> interactive.\n\n Notes\n -----\n The first time ``interactive_backend`` context manager is called, any of the available\n interactive backends can be chosen. The following times, this same backend must be used\n unless the kernel is restarted.\n\n Parameters\n ----------\n backend : str, optional\n Interactive backend to use. It will be passed to ``%matplotlib`` magic, refer to\n its docs to see available options.\n\n Examples\n --------\n Inside an ipython session (i.e. a jupyter notebook) with the inline backend set:\n\n .. code::\n\n >>> import arviz as az\n >>> idata = az.load_arviz_data(\"centered_eight\")\n >>> az.plot_posterior(idata) # inline\n >>> with az.interactive_backend():\n ... az.plot_density(idata) # interactive\n >>> az.plot_trace(idata) # inline\n\n \"\"\"\n\n # based on matplotlib.rc_context\n def __init__(self, backend=\"\"):\n \"\"\"Initialize context manager.\"\"\"\n try:\n from IPython import get_ipython\n except ImportError as err:\n raise ImportError(\n \"The exception below was risen while importing Ipython, this \"\n \"context manager can only be used inside ipython sessions:\\n{}\".format(err)\n )\n self.ipython = get_ipython()\n if self.ipython is None:\n raise EnvironmentError(\"This context manager can only be used inside ipython sessions\")\n self.ipython.magic(\"matplotlib {}\".format(backend))\n\n def __enter__(self):\n \"\"\"Enter context manager.\"\"\"\n return self\n\n def __exit__(self, exc_type, exc_value, exc_tb):\n \"\"\"Exit context manager.\"\"\"\n plt.show(block=True)\n self.ipython.magic(\"matplotlib inline\")\n\n\ndef conditional_jit(_func=None, **kwargs):\n \"\"\"Use numba's jit decorator if numba is installed.\n\n Notes\n -----\n If called without arguments then return wrapped function.\n\n @conditional_jit\n def my_func():\n return\n\n else called with arguments\n\n @conditional_jit(nopython=True)\n def my_func():\n return\n\n \"\"\"\n if _func is None:\n return lambda fn: functools.wraps(fn)(maybe_numba_fn(fn, **kwargs))\n else:\n lazy_numba = maybe_numba_fn(_func, **kwargs)\n return functools.wraps(_func)(lazy_numba)\n\n\ndef conditional_vect(function=None, **kwargs): # noqa: D202\n \"\"\"Use numba's vectorize decorator if numba is installed.\n\n Notes\n -----\n If called without arguments then return wrapped function.\n @conditional_vect\n def my_func():\n return\n else called with arguments\n @conditional_vect(nopython=True)\n def my_func():\n return\n\n \"\"\"\n\n def wrapper(function):\n try:\n numba = importlib.import_module(\"numba\")\n return numba.vectorize(**kwargs)(function)\n\n except ImportError:\n return function\n\n if function:\n return wrapper(function)\n else:\n return wrapper\n\n\ndef numba_check():\n \"\"\"Check if numba is installed.\"\"\"\n numba = importlib.util.find_spec(\"numba\")\n return numba is not None\n\n\nclass Numba:\n \"\"\"A class to toggle numba states.\"\"\"\n\n numba_flag = numba_check()\n\n @classmethod\n def disable_numba(cls):\n \"\"\"To disable numba.\"\"\"\n cls.numba_flag = False\n\n @classmethod\n def enable_numba(cls):\n \"\"\"To enable numba.\"\"\"\n if numba_check():\n cls.numba_flag = True\n else:\n raise ValueError(\"Numba is not installed\")\n\n\ndef _numba_var(numba_function, standard_numpy_func, data, axis=None, ddof=0):\n \"\"\"Replace the numpy methods used to calculate variance.\n\n Parameters\n ----------\n numba_function : function()\n Custom numba function included in stats/stats_utils.py.\n\n standard_numpy_func: function()\n Standard function included in the numpy library.\n\n data : array.\n axis : axis along which the variance is calculated.\n ddof : degrees of freedom allowed while calculating variance.\n\n Returns\n -------\n array:\n variance values calculate by appropriate function for numba speedup\n if Numba is installed or enabled.\n\n \"\"\"\n if Numba.numba_flag:\n return numba_function(data, axis=axis, ddof=ddof)\n else:\n return standard_numpy_func(data, axis=axis, ddof=ddof)\n\n\ndef _stack(x, y):\n assert x.shape[1:] == y.shape[1:]\n return np.vstack((x, y))\n\n\ndef arange(x):\n \"\"\"Jitting numpy arange.\"\"\"\n return np.arange(x)\n\n\ndef one_de(x):\n \"\"\"Jitting numpy atleast_1d.\"\"\"\n if not isinstance(x, np.ndarray):\n return np.atleast_1d(x)\n if x.ndim == 0:\n result = x.reshape(1)\n else:\n result = x\n return result\n\n\ndef two_de(x):\n \"\"\"Jitting numpy at_least_2d.\"\"\"\n if not isinstance(x, np.ndarray):\n return np.atleast_2d(x)\n if x.ndim == 0:\n result = x.reshape(1, 1)\n elif x.ndim == 1:\n result = x[newaxis, :]\n else:\n result = x\n return result\n\n\ndef expand_dims(x):\n \"\"\"Jitting numpy expand_dims.\"\"\"\n if not isinstance(x, np.ndarray):\n return np.expand_dims(x, 0)\n shape = x.shape\n return x.reshape(shape[:0] + (1,) + shape[0:])\n\n\n@conditional_jit\ndef full(shape, x, dtype=None):\n \"\"\"Jitting numpy full.\"\"\"\n return np.full(shape, x, dtype=dtype)\n\n\ndef flat_inference_data_to_dict(\n data,\n var_names=None,\n groups=None,\n dimensions=None,\n group_info=False,\n var_name_format=None,\n index_origin=None,\n):\n \"\"\"Transform data to dictionary.\n\n Parameters\n ----------\n data : obj\n Any object that can be converted to an az.InferenceData object\n Refer to documentation of az.convert_to_inference_data for details\n var_names : str or list of str, optional\n Variables to be processed, if None all variables are processed.\n groups : str or list of str, optional\n Select groups for CDS. Default groups are {\"posterior_groups\", \"prior_groups\"}\n - posterior_groups: posterior, posterior_predictive, sample_stats\n - prior_groups: prior, prior_predictive, sample_stats_prior\n ignore_groups : str or list of str, optional\n Ignore specific groups from CDS.\n dimension : str, or list of str, optional\n Select dimensions along to slice the data. By default uses (\"chain\", \"draw\").\n group_info : bool\n Add group info for `var_name_format`\n var_name_format : str or tuple of tuple of string, optional\n Select column name format for non-scalar input.\n Predefined options are {\"brackets\", \"underscore\", \"cds\"}\n \"brackets\":\n - add_group_info == False: theta[0,0]\n - add_group_info == True: theta_posterior[0,0]\n \"underscore\":\n - add_group_info == False: theta_0_0\n - add_group_info == True: theta_posterior_0_0_\n \"cds\":\n - add_group_info == False: theta_ARVIZ_CDS_SELECTION_0_0\n - add_group_info == True: theta_ARVIZ_GROUP_posterior__ARVIZ_CDS_SELECTION_0_0\n tuple:\n Structure:\n tuple: (dim_info, group_info)\n dim_info: (str: `.join` separator,\n str: dim_separator_start,\n str: dim_separator_end)\n group_info: (str: group separator start, str: group separator end)\n Example: ((\",\", \"[\", \"]\"), (\"_\", \"\"))\n - add_group_info == False: theta[0,0]\n - add_group_info == True: theta_posterior[0,0]\n index_origin : int, optional\n Start parameter indices from `index_origin`. Either 0 or 1.\n\n Returns\n -------\n dict\n \"\"\"\n from .data import convert_to_inference_data\n\n data = convert_to_inference_data(data)\n\n if groups is None:\n groups = [\"posterior\", \"posterior_predictive\", \"sample_stats\"]\n elif isinstance(groups, str):\n if groups.lower() == \"posterior_groups\":\n groups = [\"posterior\", \"posterior_predictive\", \"sample_stats\"]\n elif groups.lower() == \"prior_groups\":\n groups = [\"prior\", \"prior_predictive\", \"sample_stats_prior\"]\n else:\n raise TypeError(\"Valid predefined groups are {posterior_groups, prior_groups}\")\n\n if dimensions is None:\n dimensions = \"chain\", \"draw\"\n elif isinstance(dimensions, str):\n dimensions = (dimensions,)\n\n if var_name_format is None:\n var_name_format = \"brackets\"\n\n if isinstance(var_name_format, str):\n var_name_format = var_name_format.lower()\n\n if var_name_format == \"brackets\":\n dim_join_separator, dim_separator_start, dim_separator_end = \",\", \"[\", \"]\"\n group_separator_start, group_separator_end = \"_\", \"\"\n elif var_name_format == \"underscore\":\n dim_join_separator, dim_separator_start, dim_separator_end = \"_\", \"_\", \"\"\n group_separator_start, group_separator_end = \"_\", \"\"\n elif var_name_format == \"cds\":\n dim_join_separator, dim_separator_start, dim_separator_end = (\n \"_\",\n \"_ARVIZ_CDS_SELECTION_\",\n \"\",\n )\n group_separator_start, group_separator_end = \"_ARVIZ_GROUP_\", \"\"\n elif isinstance(var_name_format, str):\n msg = 'Invalid predefined format. Select one {\"brackets\", \"underscore\", \"cds\"}'\n raise TypeError(msg)\n else:\n (\n (dim_join_separator, dim_separator_start, dim_separator_end),\n (group_separator_start, group_separator_end),\n ) = var_name_format\n\n if index_origin is None:\n index_origin = rcParams[\"data.index_origin\"]\n\n data_dict = {}\n for group in groups:\n if hasattr(data, group):\n group_data = getattr(data, group).stack(stack_dimension=dimensions)\n for var_name, var in group_data.data_vars.items():\n var_values = var.values\n if var_names is not None and var_name not in var_names:\n continue\n for dim_name in dimensions:\n if dim_name not in data_dict:\n data_dict[dim_name] = var.coords.get(dim_name).values\n if len(var.shape) == 1:\n if group_info:\n var_name_dim = (\n \"{var_name}\" \"{group_separator_start}{group}{group_separator_end}\"\n ).format(\n var_name=var_name,\n group_separator_start=group_separator_start,\n group=group,\n group_separator_end=group_separator_end,\n )\n else:\n var_name_dim = \"{var_name}\".format(var_name=var_name)\n data_dict[var_name_dim] = var.values\n else:\n for loc in np.ndindex(var.shape[:-1]):\n if group_info:\n var_name_dim = (\n \"{var_name}\"\n \"{group_separator_start}{group}{group_separator_end}\"\n \"{dim_separator_start}{dim_join}{dim_separator_end}\"\n ).format(\n var_name=var_name,\n group_separator_start=group_separator_start,\n group=group,\n group_separator_end=group_separator_end,\n dim_separator_start=dim_separator_start,\n dim_join=dim_join_separator.join(\n (str(item + index_origin) for item in loc)\n ),\n dim_separator_end=dim_separator_end,\n )\n else:\n var_name_dim = (\n \"{var_name}\" \"{dim_separator_start}{dim_join}{dim_separator_end}\"\n ).format(\n var_name=var_name,\n dim_separator_start=dim_separator_start,\n dim_join=dim_join_separator.join(\n (str(item + index_origin) for item in loc)\n ),\n dim_separator_end=dim_separator_end,\n )\n\n data_dict[var_name_dim] = var_values[loc]\n return data_dict\n", "path": "arviz/utils.py" } ]
diff --git a/arviz/utils.py b/arviz/utils.py index 7a6427e58a..9685c96460 100644 --- a/arviz/utils.py +++ b/arviz/utils.py @@ -319,7 +319,7 @@ def expand_dims(x): return x.reshape(shape[:0] + (1,) + shape[0:]) -@conditional_jit(parallel=True) +@conditional_jit def full(shape, x, dtype=None): """Jitting numpy full.""" return np.full(shape, x, dtype=dtype)
Remove parallel from `arviz.utils.full`? **Describe the bug** There is nothing to be parallelized. **To Reproduce** ``` import arviz as az import os os.environ["NUMBA_PARALLEL_DIAGNOSTICS"] = "4" az.utils.full((1000,1000,4), 0) ``` On Windows ``` ================================================================================ Parallel Accelerator Optimizing: Function full, c:\users\ahartikainen\github\arviz\arviz\utils.py (319) ================================================================================ Parallel loop listing for Function full, c:\users\ahartikainen\github\arviz\arviz\utils.py (319) -----------------------------------|loop #ID @conditional_jit(parallel=True) | def full(shape, x): | """Jitting numpy full.""" | return np.full(shape, x) | --------------------------------- Fusing loops --------------------------------- Attempting fusion of parallel loops (combines loops with similar properties)... ----------------------------- Before Optimisation ------------------------------ -------------------------------------------------------------------------------- ------------------------------ After Optimisation ------------------------------ Parallel structure is already optimal. -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- ---------------------------Loop invariant code motion--------------------------- Instruction hoisting: No instruction hoisting found -------------------------------------------------------------------------------- ``` **Expected behavior** A clear and concise description of what you expected to happen. **Additional context** Versions of `arviz` and other libraries used, operating system used, and anything else that may be useful.
qutebrowser__qutebrowser-4585
[ { "content": "# vim: ft=python fileencoding=utf-8 sts=4 sw=4 et:\n\n# Copyright 2014-2019 Florian Bruhin (The Compiler) <[email protected]>\n#\n# This file is part of qutebrowser.\n#\n# qutebrowser is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# qutebrowser is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with qutebrowser. If not, see <http://www.gnu.org/licenses/>.\n\n\"\"\"Our own QKeySequence-like class and related utilities.\"\"\"\n\nimport itertools\n\nimport attr\nfrom PyQt5.QtCore import Qt, QEvent\nfrom PyQt5.QtGui import QKeySequence, QKeyEvent\n\nfrom qutebrowser.utils import utils\n\n\n# Map Qt::Key values to their Qt::KeyboardModifier value.\n_MODIFIER_MAP = {\n Qt.Key_Shift: Qt.ShiftModifier,\n Qt.Key_Control: Qt.ControlModifier,\n Qt.Key_Alt: Qt.AltModifier,\n Qt.Key_Meta: Qt.MetaModifier,\n Qt.Key_Mode_switch: Qt.GroupSwitchModifier,\n}\n\n\ndef _assert_plain_key(key):\n \"\"\"Make sure this is a key without KeyboardModifiers mixed in.\"\"\"\n assert not key & Qt.KeyboardModifierMask, hex(key)\n\n\ndef _assert_plain_modifier(key):\n \"\"\"Make sure this is a modifier without a key mixed in.\"\"\"\n assert not key & ~Qt.KeyboardModifierMask, hex(key)\n\n\ndef _is_printable(key):\n _assert_plain_key(key)\n return key <= 0xff and key not in [Qt.Key_Space, 0x0]\n\n\ndef is_special(key, modifiers):\n \"\"\"Check whether this key requires special key syntax.\"\"\"\n _assert_plain_key(key)\n _assert_plain_modifier(modifiers)\n return not (_is_printable(key) and\n modifiers in [Qt.ShiftModifier, Qt.NoModifier,\n Qt.KeypadModifier])\n\n\ndef is_modifier_key(key):\n \"\"\"Test whether the given key is a modifier.\n\n This only considers keys which are part of Qt::KeyboardModifiers, i.e.\n which would interrupt a key chain like \"yY\" when handled.\n \"\"\"\n _assert_plain_key(key)\n return key in _MODIFIER_MAP\n\n\ndef _check_valid_utf8(s, data):\n \"\"\"Make sure the given string is valid UTF-8.\n\n Makes sure there are no chars where Qt did fall back to weird UTF-16\n surrogates.\n \"\"\"\n try:\n s.encode('utf-8')\n except UnicodeEncodeError as e: # pragma: no cover\n raise ValueError(\"Invalid encoding in 0x{:x} -> {}: {}\"\n .format(data, s, e))\n\n\ndef _key_to_string(key):\n \"\"\"Convert a Qt::Key member to a meaningful name.\n\n Args:\n key: A Qt::Key member.\n\n Return:\n A name of the key as a string.\n \"\"\"\n _assert_plain_key(key)\n special_names_str = {\n # Some keys handled in a weird way by QKeySequence::toString.\n # See https://bugreports.qt.io/browse/QTBUG-40030\n # Most are unlikely to be ever needed, but you never know ;)\n # For dead/combining keys, we return the corresponding non-combining\n # key, as that's easier to add to the config.\n\n 'Super_L': 'Super L',\n 'Super_R': 'Super R',\n 'Hyper_L': 'Hyper L',\n 'Hyper_R': 'Hyper R',\n 'Direction_L': 'Direction L',\n 'Direction_R': 'Direction R',\n\n 'Shift': 'Shift',\n 'Control': 'Control',\n 'Meta': 'Meta',\n 'Alt': 'Alt',\n\n 'AltGr': 'AltGr',\n 'Multi_key': 'Multi key',\n 'SingleCandidate': 'Single Candidate',\n 'Mode_switch': 'Mode switch',\n 'Dead_Grave': '`',\n 'Dead_Acute': '´',\n 'Dead_Circumflex': '^',\n 'Dead_Tilde': '~',\n 'Dead_Macron': '¯',\n 'Dead_Breve': '˘',\n 'Dead_Abovedot': '˙',\n 'Dead_Diaeresis': '¨',\n 'Dead_Abovering': '˚',\n 'Dead_Doubleacute': '˝',\n 'Dead_Caron': 'ˇ',\n 'Dead_Cedilla': '¸',\n 'Dead_Ogonek': '˛',\n 'Dead_Iota': 'Iota',\n 'Dead_Voiced_Sound': 'Voiced Sound',\n 'Dead_Semivoiced_Sound': 'Semivoiced Sound',\n 'Dead_Belowdot': 'Belowdot',\n 'Dead_Hook': 'Hook',\n 'Dead_Horn': 'Horn',\n\n 'Dead_Stroke': '̵',\n 'Dead_Abovecomma': '̓',\n 'Dead_Abovereversedcomma': '̔',\n 'Dead_Doublegrave': '̏',\n 'Dead_Belowring': '̥',\n 'Dead_Belowmacron': '̱',\n 'Dead_Belowcircumflex': '̭',\n 'Dead_Belowtilde': '̰',\n 'Dead_Belowbreve': '̮',\n 'Dead_Belowdiaeresis': '̤',\n 'Dead_Invertedbreve': '̑',\n 'Dead_Belowcomma': '̦',\n 'Dead_Currency': '¤',\n 'Dead_a': 'a',\n 'Dead_A': 'A',\n 'Dead_e': 'e',\n 'Dead_E': 'E',\n 'Dead_i': 'i',\n 'Dead_I': 'I',\n 'Dead_o': 'o',\n 'Dead_O': 'O',\n 'Dead_u': 'u',\n 'Dead_U': 'U',\n 'Dead_Small_Schwa': 'ə',\n 'Dead_Capital_Schwa': 'Ə',\n 'Dead_Greek': 'Greek',\n 'Dead_Lowline': '̲',\n 'Dead_Aboveverticalline': '̍',\n 'Dead_Belowverticalline': '\\u0329',\n 'Dead_Longsolidusoverlay': '̸',\n\n 'Memo': 'Memo',\n 'ToDoList': 'To Do List',\n 'Calendar': 'Calendar',\n 'ContrastAdjust': 'Contrast Adjust',\n 'LaunchG': 'Launch (G)',\n 'LaunchH': 'Launch (H)',\n\n 'MediaLast': 'Media Last',\n\n 'unknown': 'Unknown',\n\n # For some keys, we just want a different name\n 'Escape': 'Escape',\n }\n # We now build our real special_names dict from the string mapping above.\n # The reason we don't do this directly is that certain Qt versions don't\n # have all the keys, so we want to ignore AttributeErrors.\n special_names = {}\n for k, v in special_names_str.items():\n try:\n special_names[getattr(Qt, 'Key_' + k)] = v\n except AttributeError:\n pass\n special_names[0x0] = 'nil'\n\n if key in special_names:\n return special_names[key]\n\n result = QKeySequence(key).toString()\n _check_valid_utf8(result, key)\n return result\n\n\ndef _modifiers_to_string(modifiers):\n \"\"\"Convert the given Qt::KeyboardModifiers to a string.\n\n Handles Qt.GroupSwitchModifier because Qt doesn't handle that as a\n modifier.\n \"\"\"\n _assert_plain_modifier(modifiers)\n if modifiers & Qt.GroupSwitchModifier:\n modifiers &= ~Qt.GroupSwitchModifier\n result = 'AltGr+'\n else:\n result = ''\n\n result += QKeySequence(modifiers).toString()\n\n _check_valid_utf8(result, modifiers)\n return result\n\n\nclass KeyParseError(Exception):\n\n \"\"\"Raised by _parse_single_key/parse_keystring on parse errors.\"\"\"\n\n def __init__(self, keystr, error):\n if keystr is None:\n msg = \"Could not parse keystring: {}\".format(error)\n else:\n msg = \"Could not parse {!r}: {}\".format(keystr, error)\n super().__init__(msg)\n\n\ndef _parse_keystring(keystr):\n key = ''\n special = False\n for c in keystr:\n if c == '>':\n if special:\n yield _parse_special_key(key)\n key = ''\n special = False\n else:\n yield '>'\n assert not key, key\n elif c == '<':\n special = True\n elif special:\n key += c\n else:\n yield _parse_single_key(c)\n if special:\n yield '<'\n for c in key:\n yield _parse_single_key(c)\n\n\ndef _parse_special_key(keystr):\n \"\"\"Normalize a keystring like Ctrl-Q to a keystring like Ctrl+Q.\n\n Args:\n keystr: The key combination as a string.\n\n Return:\n The normalized keystring.\n \"\"\"\n keystr = keystr.lower()\n replacements = (\n ('control', 'ctrl'),\n ('windows', 'meta'),\n ('mod4', 'meta'),\n ('command', 'meta'),\n ('cmd', 'meta'),\n ('mod1', 'alt'),\n ('less', '<'),\n ('greater', '>'),\n )\n for (orig, repl) in replacements:\n keystr = keystr.replace(orig, repl)\n\n for mod in ['ctrl', 'meta', 'alt', 'shift', 'num']:\n keystr = keystr.replace(mod + '-', mod + '+')\n return keystr\n\n\ndef _parse_single_key(keystr):\n \"\"\"Get a keystring for QKeySequence for a single key.\"\"\"\n return 'Shift+' + keystr if keystr.isupper() else keystr\n\n\[email protected]\nclass KeyInfo:\n\n \"\"\"A key with optional modifiers.\n\n Attributes:\n key: A Qt::Key member.\n modifiers: A Qt::KeyboardModifiers enum value.\n \"\"\"\n\n key = attr.ib()\n modifiers = attr.ib()\n\n @classmethod\n def from_event(cls, e):\n return cls(e.key(), e.modifiers())\n\n def __str__(self):\n \"\"\"Convert this KeyInfo to a meaningful name.\n\n Return:\n A name of the key (combination) as a string.\n \"\"\"\n key_string = _key_to_string(self.key)\n modifiers = int(self.modifiers)\n\n if self.key in _MODIFIER_MAP:\n # Don't return e.g. <Shift+Shift>\n modifiers &= ~_MODIFIER_MAP[self.key]\n elif _is_printable(self.key):\n # \"normal\" binding\n if not key_string: # pragma: no cover\n raise ValueError(\"Got empty string for key 0x{:x}!\"\n .format(self.key))\n\n assert len(key_string) == 1, key_string\n if self.modifiers == Qt.ShiftModifier:\n assert not is_special(self.key, self.modifiers)\n return key_string.upper()\n elif self.modifiers == Qt.NoModifier:\n assert not is_special(self.key, self.modifiers)\n return key_string.lower()\n else:\n # Use special binding syntax, but <Ctrl-a> instead of <Ctrl-A>\n key_string = key_string.lower()\n\n # \"special\" binding\n assert (is_special(self.key, self.modifiers) or\n self.modifiers == Qt.KeypadModifier)\n modifier_string = _modifiers_to_string(modifiers)\n return '<{}{}>'.format(modifier_string, key_string)\n\n def text(self):\n \"\"\"Get the text which would be displayed when pressing this key.\"\"\"\n control = {\n Qt.Key_Space: ' ',\n Qt.Key_Tab: '\\t',\n Qt.Key_Backspace: '\\b',\n Qt.Key_Return: '\\r',\n Qt.Key_Enter: '\\r',\n Qt.Key_Escape: '\\x1b',\n }\n\n if self.key in control:\n return control[self.key]\n elif not _is_printable(self.key):\n return ''\n\n text = QKeySequence(self.key).toString()\n if not self.modifiers & Qt.ShiftModifier:\n text = text.lower()\n return text\n\n def to_event(self, typ=QEvent.KeyPress):\n \"\"\"Get a QKeyEvent from this KeyInfo.\"\"\"\n return QKeyEvent(typ, self.key, self.modifiers, self.text())\n\n def to_int(self):\n \"\"\"Get the key as an integer (with key/modifiers).\"\"\"\n return int(self.key) | int(self.modifiers)\n\n\nclass KeySequence:\n\n \"\"\"A sequence of key presses.\n\n This internally uses chained QKeySequence objects and exposes a nicer\n interface over it.\n\n NOTE: While private members of this class are in theory mutable, they must\n not be mutated in order to ensure consistent hashing.\n\n Attributes:\n _sequences: A list of QKeySequence\n\n Class attributes:\n _MAX_LEN: The maximum amount of keys in a QKeySequence.\n \"\"\"\n\n _MAX_LEN = 4\n\n def __init__(self, *keys):\n self._sequences = []\n for sub in utils.chunk(keys, self._MAX_LEN):\n sequence = QKeySequence(*sub)\n self._sequences.append(sequence)\n if keys:\n assert self\n self._validate()\n\n def __str__(self):\n parts = []\n for info in self:\n parts.append(str(info))\n return ''.join(parts)\n\n def __iter__(self):\n \"\"\"Iterate over KeyInfo objects.\"\"\"\n for key_and_modifiers in self._iter_keys():\n key = int(key_and_modifiers) & ~Qt.KeyboardModifierMask\n modifiers = Qt.KeyboardModifiers(int(key_and_modifiers) &\n Qt.KeyboardModifierMask)\n yield KeyInfo(key=key, modifiers=modifiers)\n\n def __repr__(self):\n return utils.get_repr(self, keys=str(self))\n\n def __lt__(self, other):\n # pylint: disable=protected-access\n return self._sequences < other._sequences\n\n def __gt__(self, other):\n # pylint: disable=protected-access\n return self._sequences > other._sequences\n\n def __le__(self, other):\n # pylint: disable=protected-access\n return self._sequences <= other._sequences\n\n def __ge__(self, other):\n # pylint: disable=protected-access\n return self._sequences >= other._sequences\n\n def __eq__(self, other):\n # pylint: disable=protected-access\n return self._sequences == other._sequences\n\n def __ne__(self, other):\n # pylint: disable=protected-access\n return self._sequences != other._sequences\n\n def __hash__(self):\n return hash(tuple(self._sequences))\n\n def __len__(self):\n return sum(len(seq) for seq in self._sequences)\n\n def __bool__(self):\n return bool(self._sequences)\n\n def __getitem__(self, item):\n if isinstance(item, slice):\n keys = list(self._iter_keys())\n return self.__class__(*keys[item])\n else:\n infos = list(self)\n return infos[item]\n\n def _iter_keys(self):\n return itertools.chain.from_iterable(self._sequences)\n\n def _validate(self, keystr=None):\n for info in self:\n if info.key < Qt.Key_Space or info.key >= Qt.Key_unknown:\n raise KeyParseError(keystr, \"Got invalid key!\")\n\n for seq in self._sequences:\n if not seq:\n raise KeyParseError(keystr, \"Got invalid key!\")\n\n def matches(self, other):\n \"\"\"Check whether the given KeySequence matches with this one.\n\n We store multiple QKeySequences with <= 4 keys each, so we need to\n match those pair-wise, and account for an unequal amount of sequences\n as well.\n \"\"\"\n # pylint: disable=protected-access\n\n if len(self._sequences) > len(other._sequences):\n # If we entered more sequences than there are in the config,\n # there's no way there can be a match.\n return QKeySequence.NoMatch\n\n for entered, configured in zip(self._sequences, other._sequences):\n # If we get NoMatch/PartialMatch in a sequence, we can abort there.\n match = entered.matches(configured)\n if match != QKeySequence.ExactMatch:\n return match\n\n # We checked all common sequences and they had an ExactMatch.\n #\n # If there's still more sequences configured than entered, that's a\n # PartialMatch, as more keypresses can still follow and new sequences\n # will appear which we didn't check above.\n #\n # If there's the same amount of sequences configured and entered,\n # that's an EqualMatch.\n if len(self._sequences) == len(other._sequences):\n return QKeySequence.ExactMatch\n elif len(self._sequences) < len(other._sequences):\n return QKeySequence.PartialMatch\n else:\n raise utils.Unreachable(\"self={!r} other={!r}\".format(self, other))\n\n def append_event(self, ev):\n \"\"\"Create a new KeySequence object with the given QKeyEvent added.\"\"\"\n key = ev.key()\n modifiers = ev.modifiers()\n\n _assert_plain_key(key)\n _assert_plain_modifier(modifiers)\n\n if key == 0x0:\n raise KeyParseError(None, \"Got nil key!\")\n\n # We always remove Qt.GroupSwitchModifier because QKeySequence has no\n # way to mention that in a binding anyways...\n modifiers &= ~Qt.GroupSwitchModifier\n\n # We change Qt.Key_Backtab to Key_Tab here because nobody would\n # configure \"Shift-Backtab\" in their config.\n if modifiers & Qt.ShiftModifier and key == Qt.Key_Backtab:\n key = Qt.Key_Tab\n\n # We don't care about a shift modifier with symbols (Shift-: should\n # match a : binding even though we typed it with a shift on an\n # US-keyboard)\n #\n # However, we *do* care about Shift being involved if we got an\n # upper-case letter, as Shift-A should match a Shift-A binding, but not\n # an \"a\" binding.\n #\n # In addition, Shift also *is* relevant when other modifiers are\n # involved. Shift-Ctrl-X should not be equivalent to Ctrl-X.\n if (modifiers == Qt.ShiftModifier and\n _is_printable(ev.key()) and\n not ev.text().isupper()):\n modifiers = Qt.KeyboardModifiers()\n\n # On macOS, swap Ctrl and Meta back\n # WORKAROUND for https://bugreports.qt.io/browse/QTBUG-51293\n if utils.is_mac:\n if modifiers & Qt.ControlModifier and modifiers & Qt.MetaModifier:\n pass\n elif modifiers & Qt.ControlModifier:\n modifiers &= ~Qt.ControlModifier\n modifiers |= Qt.MetaModifier\n elif modifiers & Qt.MetaModifier:\n modifiers &= ~Qt.MetaModifier\n modifiers |= Qt.ControlModifier\n\n keys = list(self._iter_keys())\n keys.append(key | int(modifiers))\n\n return self.__class__(*keys)\n\n def strip_modifiers(self):\n \"\"\"Strip optional modifiers from keys.\"\"\"\n modifiers = Qt.KeypadModifier\n keys = [key & ~modifiers for key in self._iter_keys()]\n return self.__class__(*keys)\n\n def with_mappings(self, mappings):\n \"\"\"Get a new KeySequence with the given mappings applied.\"\"\"\n keys = []\n for key in self._iter_keys():\n key_seq = KeySequence(key)\n if key_seq in mappings:\n new_seq = mappings[key_seq]\n assert len(new_seq) == 1\n key = new_seq[0].to_int()\n keys.append(key)\n return self.__class__(*keys)\n\n @classmethod\n def parse(cls, keystr):\n \"\"\"Parse a keystring like <Ctrl-x> or xyz and return a KeySequence.\"\"\"\n # pylint: disable=protected-access\n new = cls()\n strings = list(_parse_keystring(keystr))\n for sub in utils.chunk(strings, cls._MAX_LEN):\n sequence = QKeySequence(', '.join(sub))\n new._sequences.append(sequence)\n\n if keystr:\n assert new, keystr\n\n # pylint: disable=protected-access\n new._validate(keystr)\n return new\n", "path": "qutebrowser/keyinput/keyutils.py" } ]
[ { "content": "# vim: ft=python fileencoding=utf-8 sts=4 sw=4 et:\n\n# Copyright 2014-2018 Florian Bruhin (The Compiler) <[email protected]>\n#\n# This file is part of qutebrowser.\n#\n# qutebrowser is free software: you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation, either version 3 of the License, or\n# (at your option) any later version.\n#\n# qutebrowser is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with qutebrowser. If not, see <http://www.gnu.org/licenses/>.\n\n\"\"\"Our own QKeySequence-like class and related utilities.\"\"\"\n\nimport itertools\n\nimport attr\nfrom PyQt5.QtCore import Qt, QEvent\nfrom PyQt5.QtGui import QKeySequence, QKeyEvent\n\nfrom qutebrowser.utils import utils\n\n\n# Map Qt::Key values to their Qt::KeyboardModifier value.\n_MODIFIER_MAP = {\n Qt.Key_Shift: Qt.ShiftModifier,\n Qt.Key_Control: Qt.ControlModifier,\n Qt.Key_Alt: Qt.AltModifier,\n Qt.Key_Meta: Qt.MetaModifier,\n Qt.Key_AltGr: Qt.GroupSwitchModifier,\n Qt.Key_Mode_switch: Qt.GroupSwitchModifier,\n}\n\n\ndef _assert_plain_key(key):\n \"\"\"Make sure this is a key without KeyboardModifiers mixed in.\"\"\"\n assert not key & Qt.KeyboardModifierMask, hex(key)\n\n\ndef _assert_plain_modifier(key):\n \"\"\"Make sure this is a modifier without a key mixed in.\"\"\"\n assert not key & ~Qt.KeyboardModifierMask, hex(key)\n\n\ndef _is_printable(key):\n _assert_plain_key(key)\n return key <= 0xff and key not in [Qt.Key_Space, 0x0]\n\n\ndef is_special(key, modifiers):\n \"\"\"Check whether this key requires special key syntax.\"\"\"\n _assert_plain_key(key)\n _assert_plain_modifier(modifiers)\n return not (_is_printable(key) and\n modifiers in [Qt.ShiftModifier, Qt.NoModifier,\n Qt.KeypadModifier])\n\n\ndef is_modifier_key(key):\n \"\"\"Test whether the given key is a modifier.\n\n This only considers keys which are part of Qt::KeyboardModifiers, i.e.\n which would interrupt a key chain like \"yY\" when handled.\n \"\"\"\n _assert_plain_key(key)\n return key in _MODIFIER_MAP\n\n\ndef _check_valid_utf8(s, data):\n \"\"\"Make sure the given string is valid UTF-8.\n\n Makes sure there are no chars where Qt did fall back to weird UTF-16\n surrogates.\n \"\"\"\n try:\n s.encode('utf-8')\n except UnicodeEncodeError as e: # pragma: no cover\n raise ValueError(\"Invalid encoding in 0x{:x} -> {}: {}\"\n .format(data, s, e))\n\n\ndef _key_to_string(key):\n \"\"\"Convert a Qt::Key member to a meaningful name.\n\n Args:\n key: A Qt::Key member.\n\n Return:\n A name of the key as a string.\n \"\"\"\n _assert_plain_key(key)\n special_names_str = {\n # Some keys handled in a weird way by QKeySequence::toString.\n # See https://bugreports.qt.io/browse/QTBUG-40030\n # Most are unlikely to be ever needed, but you never know ;)\n # For dead/combining keys, we return the corresponding non-combining\n # key, as that's easier to add to the config.\n\n 'Super_L': 'Super L',\n 'Super_R': 'Super R',\n 'Hyper_L': 'Hyper L',\n 'Hyper_R': 'Hyper R',\n 'Direction_L': 'Direction L',\n 'Direction_R': 'Direction R',\n\n 'Shift': 'Shift',\n 'Control': 'Control',\n 'Meta': 'Meta',\n 'Alt': 'Alt',\n\n 'AltGr': 'AltGr',\n 'Multi_key': 'Multi key',\n 'SingleCandidate': 'Single Candidate',\n 'Mode_switch': 'Mode switch',\n 'Dead_Grave': '`',\n 'Dead_Acute': '´',\n 'Dead_Circumflex': '^',\n 'Dead_Tilde': '~',\n 'Dead_Macron': '¯',\n 'Dead_Breve': '˘',\n 'Dead_Abovedot': '˙',\n 'Dead_Diaeresis': '¨',\n 'Dead_Abovering': '˚',\n 'Dead_Doubleacute': '˝',\n 'Dead_Caron': 'ˇ',\n 'Dead_Cedilla': '¸',\n 'Dead_Ogonek': '˛',\n 'Dead_Iota': 'Iota',\n 'Dead_Voiced_Sound': 'Voiced Sound',\n 'Dead_Semivoiced_Sound': 'Semivoiced Sound',\n 'Dead_Belowdot': 'Belowdot',\n 'Dead_Hook': 'Hook',\n 'Dead_Horn': 'Horn',\n\n 'Dead_Stroke': '̵',\n 'Dead_Abovecomma': '̓',\n 'Dead_Abovereversedcomma': '̔',\n 'Dead_Doublegrave': '̏',\n 'Dead_Belowring': '̥',\n 'Dead_Belowmacron': '̱',\n 'Dead_Belowcircumflex': '̭',\n 'Dead_Belowtilde': '̰',\n 'Dead_Belowbreve': '̮',\n 'Dead_Belowdiaeresis': '̤',\n 'Dead_Invertedbreve': '̑',\n 'Dead_Belowcomma': '̦',\n 'Dead_Currency': '¤',\n 'Dead_a': 'a',\n 'Dead_A': 'A',\n 'Dead_e': 'e',\n 'Dead_E': 'E',\n 'Dead_i': 'i',\n 'Dead_I': 'I',\n 'Dead_o': 'o',\n 'Dead_O': 'O',\n 'Dead_u': 'u',\n 'Dead_U': 'U',\n 'Dead_Small_Schwa': 'ə',\n 'Dead_Capital_Schwa': 'Ə',\n 'Dead_Greek': 'Greek',\n 'Dead_Lowline': '̲',\n 'Dead_Aboveverticalline': '̍',\n 'Dead_Belowverticalline': '\\u0329',\n 'Dead_Longsolidusoverlay': '̸',\n\n 'Memo': 'Memo',\n 'ToDoList': 'To Do List',\n 'Calendar': 'Calendar',\n 'ContrastAdjust': 'Contrast Adjust',\n 'LaunchG': 'Launch (G)',\n 'LaunchH': 'Launch (H)',\n\n 'MediaLast': 'Media Last',\n\n 'unknown': 'Unknown',\n\n # For some keys, we just want a different name\n 'Escape': 'Escape',\n }\n # We now build our real special_names dict from the string mapping above.\n # The reason we don't do this directly is that certain Qt versions don't\n # have all the keys, so we want to ignore AttributeErrors.\n special_names = {}\n for k, v in special_names_str.items():\n try:\n special_names[getattr(Qt, 'Key_' + k)] = v\n except AttributeError:\n pass\n special_names[0x0] = 'nil'\n\n if key in special_names:\n return special_names[key]\n\n result = QKeySequence(key).toString()\n _check_valid_utf8(result, key)\n return result\n\n\ndef _modifiers_to_string(modifiers):\n \"\"\"Convert the given Qt::KeyboardModifiers to a string.\n\n Handles Qt.GroupSwitchModifier because Qt doesn't handle that as a\n modifier.\n \"\"\"\n _assert_plain_modifier(modifiers)\n if modifiers & Qt.GroupSwitchModifier:\n modifiers &= ~Qt.GroupSwitchModifier\n result = 'AltGr+'\n else:\n result = ''\n\n result += QKeySequence(modifiers).toString()\n\n _check_valid_utf8(result, modifiers)\n return result\n\n\nclass KeyParseError(Exception):\n\n \"\"\"Raised by _parse_single_key/parse_keystring on parse errors.\"\"\"\n\n def __init__(self, keystr, error):\n if keystr is None:\n msg = \"Could not parse keystring: {}\".format(error)\n else:\n msg = \"Could not parse {!r}: {}\".format(keystr, error)\n super().__init__(msg)\n\n\ndef _parse_keystring(keystr):\n key = ''\n special = False\n for c in keystr:\n if c == '>':\n if special:\n yield _parse_special_key(key)\n key = ''\n special = False\n else:\n yield '>'\n assert not key, key\n elif c == '<':\n special = True\n elif special:\n key += c\n else:\n yield _parse_single_key(c)\n if special:\n yield '<'\n for c in key:\n yield _parse_single_key(c)\n\n\ndef _parse_special_key(keystr):\n \"\"\"Normalize a keystring like Ctrl-Q to a keystring like Ctrl+Q.\n\n Args:\n keystr: The key combination as a string.\n\n Return:\n The normalized keystring.\n \"\"\"\n keystr = keystr.lower()\n replacements = (\n ('control', 'ctrl'),\n ('windows', 'meta'),\n ('mod4', 'meta'),\n ('command', 'meta'),\n ('cmd', 'meta'),\n ('mod1', 'alt'),\n ('less', '<'),\n ('greater', '>'),\n )\n for (orig, repl) in replacements:\n keystr = keystr.replace(orig, repl)\n\n for mod in ['ctrl', 'meta', 'alt', 'shift', 'num']:\n keystr = keystr.replace(mod + '-', mod + '+')\n return keystr\n\n\ndef _parse_single_key(keystr):\n \"\"\"Get a keystring for QKeySequence for a single key.\"\"\"\n return 'Shift+' + keystr if keystr.isupper() else keystr\n\n\[email protected]\nclass KeyInfo:\n\n \"\"\"A key with optional modifiers.\n\n Attributes:\n key: A Qt::Key member.\n modifiers: A Qt::KeyboardModifiers enum value.\n \"\"\"\n\n key = attr.ib()\n modifiers = attr.ib()\n\n @classmethod\n def from_event(cls, e):\n return cls(e.key(), e.modifiers())\n\n def __str__(self):\n \"\"\"Convert this KeyInfo to a meaningful name.\n\n Return:\n A name of the key (combination) as a string.\n \"\"\"\n key_string = _key_to_string(self.key)\n modifiers = int(self.modifiers)\n\n if self.key in _MODIFIER_MAP:\n # Don't return e.g. <Shift+Shift>\n modifiers &= ~_MODIFIER_MAP[self.key]\n elif _is_printable(self.key):\n # \"normal\" binding\n if not key_string: # pragma: no cover\n raise ValueError(\"Got empty string for key 0x{:x}!\"\n .format(self.key))\n\n assert len(key_string) == 1, key_string\n if self.modifiers == Qt.ShiftModifier:\n assert not is_special(self.key, self.modifiers)\n return key_string.upper()\n elif self.modifiers == Qt.NoModifier:\n assert not is_special(self.key, self.modifiers)\n return key_string.lower()\n else:\n # Use special binding syntax, but <Ctrl-a> instead of <Ctrl-A>\n key_string = key_string.lower()\n\n # \"special\" binding\n assert (is_special(self.key, self.modifiers) or\n self.modifiers == Qt.KeypadModifier)\n modifier_string = _modifiers_to_string(modifiers)\n return '<{}{}>'.format(modifier_string, key_string)\n\n def text(self):\n \"\"\"Get the text which would be displayed when pressing this key.\"\"\"\n control = {\n Qt.Key_Space: ' ',\n Qt.Key_Tab: '\\t',\n Qt.Key_Backspace: '\\b',\n Qt.Key_Return: '\\r',\n Qt.Key_Enter: '\\r',\n Qt.Key_Escape: '\\x1b',\n }\n\n if self.key in control:\n return control[self.key]\n elif not _is_printable(self.key):\n return ''\n\n text = QKeySequence(self.key).toString()\n if not self.modifiers & Qt.ShiftModifier:\n text = text.lower()\n return text\n\n def to_event(self, typ=QEvent.KeyPress):\n \"\"\"Get a QKeyEvent from this KeyInfo.\"\"\"\n return QKeyEvent(typ, self.key, self.modifiers, self.text())\n\n def to_int(self):\n \"\"\"Get the key as an integer (with key/modifiers).\"\"\"\n return int(self.key) | int(self.modifiers)\n\n\nclass KeySequence:\n\n \"\"\"A sequence of key presses.\n\n This internally uses chained QKeySequence objects and exposes a nicer\n interface over it.\n\n NOTE: While private members of this class are in theory mutable, they must\n not be mutated in order to ensure consistent hashing.\n\n Attributes:\n _sequences: A list of QKeySequence\n\n Class attributes:\n _MAX_LEN: The maximum amount of keys in a QKeySequence.\n \"\"\"\n\n _MAX_LEN = 4\n\n def __init__(self, *keys):\n self._sequences = []\n for sub in utils.chunk(keys, self._MAX_LEN):\n sequence = QKeySequence(*sub)\n self._sequences.append(sequence)\n if keys:\n assert self\n self._validate()\n\n def __str__(self):\n parts = []\n for info in self:\n parts.append(str(info))\n return ''.join(parts)\n\n def __iter__(self):\n \"\"\"Iterate over KeyInfo objects.\"\"\"\n for key_and_modifiers in self._iter_keys():\n key = int(key_and_modifiers) & ~Qt.KeyboardModifierMask\n modifiers = Qt.KeyboardModifiers(int(key_and_modifiers) &\n Qt.KeyboardModifierMask)\n yield KeyInfo(key=key, modifiers=modifiers)\n\n def __repr__(self):\n return utils.get_repr(self, keys=str(self))\n\n def __lt__(self, other):\n # pylint: disable=protected-access\n return self._sequences < other._sequences\n\n def __gt__(self, other):\n # pylint: disable=protected-access\n return self._sequences > other._sequences\n\n def __le__(self, other):\n # pylint: disable=protected-access\n return self._sequences <= other._sequences\n\n def __ge__(self, other):\n # pylint: disable=protected-access\n return self._sequences >= other._sequences\n\n def __eq__(self, other):\n # pylint: disable=protected-access\n return self._sequences == other._sequences\n\n def __ne__(self, other):\n # pylint: disable=protected-access\n return self._sequences != other._sequences\n\n def __hash__(self):\n return hash(tuple(self._sequences))\n\n def __len__(self):\n return sum(len(seq) for seq in self._sequences)\n\n def __bool__(self):\n return bool(self._sequences)\n\n def __getitem__(self, item):\n if isinstance(item, slice):\n keys = list(self._iter_keys())\n return self.__class__(*keys[item])\n else:\n infos = list(self)\n return infos[item]\n\n def _iter_keys(self):\n return itertools.chain.from_iterable(self._sequences)\n\n def _validate(self, keystr=None):\n for info in self:\n if info.key < Qt.Key_Space or info.key >= Qt.Key_unknown:\n raise KeyParseError(keystr, \"Got invalid key!\")\n\n for seq in self._sequences:\n if not seq:\n raise KeyParseError(keystr, \"Got invalid key!\")\n\n def matches(self, other):\n \"\"\"Check whether the given KeySequence matches with this one.\n\n We store multiple QKeySequences with <= 4 keys each, so we need to\n match those pair-wise, and account for an unequal amount of sequences\n as well.\n \"\"\"\n # pylint: disable=protected-access\n\n if len(self._sequences) > len(other._sequences):\n # If we entered more sequences than there are in the config,\n # there's no way there can be a match.\n return QKeySequence.NoMatch\n\n for entered, configured in zip(self._sequences, other._sequences):\n # If we get NoMatch/PartialMatch in a sequence, we can abort there.\n match = entered.matches(configured)\n if match != QKeySequence.ExactMatch:\n return match\n\n # We checked all common sequences and they had an ExactMatch.\n #\n # If there's still more sequences configured than entered, that's a\n # PartialMatch, as more keypresses can still follow and new sequences\n # will appear which we didn't check above.\n #\n # If there's the same amount of sequences configured and entered,\n # that's an EqualMatch.\n if len(self._sequences) == len(other._sequences):\n return QKeySequence.ExactMatch\n elif len(self._sequences) < len(other._sequences):\n return QKeySequence.PartialMatch\n else:\n raise utils.Unreachable(\"self={!r} other={!r}\".format(self, other))\n\n def append_event(self, ev):\n \"\"\"Create a new KeySequence object with the given QKeyEvent added.\"\"\"\n key = ev.key()\n modifiers = ev.modifiers()\n\n _assert_plain_key(key)\n _assert_plain_modifier(modifiers)\n\n if key == 0x0:\n raise KeyParseError(None, \"Got nil key!\")\n\n # We always remove Qt.GroupSwitchModifier because QKeySequence has no\n # way to mention that in a binding anyways...\n modifiers &= ~Qt.GroupSwitchModifier\n\n # We change Qt.Key_Backtab to Key_Tab here because nobody would\n # configure \"Shift-Backtab\" in their config.\n if modifiers & Qt.ShiftModifier and key == Qt.Key_Backtab:\n key = Qt.Key_Tab\n\n # We don't care about a shift modifier with symbols (Shift-: should\n # match a : binding even though we typed it with a shift on an\n # US-keyboard)\n #\n # However, we *do* care about Shift being involved if we got an\n # upper-case letter, as Shift-A should match a Shift-A binding, but not\n # an \"a\" binding.\n #\n # In addition, Shift also *is* relevant when other modifiers are\n # involved. Shift-Ctrl-X should not be equivalent to Ctrl-X.\n if (modifiers == Qt.ShiftModifier and\n _is_printable(ev.key()) and\n not ev.text().isupper()):\n modifiers = Qt.KeyboardModifiers()\n\n # On macOS, swap Ctrl and Meta back\n # WORKAROUND for https://bugreports.qt.io/browse/QTBUG-51293\n if utils.is_mac:\n if modifiers & Qt.ControlModifier and modifiers & Qt.MetaModifier:\n pass\n elif modifiers & Qt.ControlModifier:\n modifiers &= ~Qt.ControlModifier\n modifiers |= Qt.MetaModifier\n elif modifiers & Qt.MetaModifier:\n modifiers &= ~Qt.MetaModifier\n modifiers |= Qt.ControlModifier\n\n keys = list(self._iter_keys())\n keys.append(key | int(modifiers))\n\n return self.__class__(*keys)\n\n def strip_modifiers(self):\n \"\"\"Strip optional modifiers from keys.\"\"\"\n modifiers = Qt.KeypadModifier\n keys = [key & ~modifiers for key in self._iter_keys()]\n return self.__class__(*keys)\n\n def with_mappings(self, mappings):\n \"\"\"Get a new KeySequence with the given mappings applied.\"\"\"\n keys = []\n for key in self._iter_keys():\n key_seq = KeySequence(key)\n if key_seq in mappings:\n new_seq = mappings[key_seq]\n assert len(new_seq) == 1\n key = new_seq[0].to_int()\n keys.append(key)\n return self.__class__(*keys)\n\n @classmethod\n def parse(cls, keystr):\n \"\"\"Parse a keystring like <Ctrl-x> or xyz and return a KeySequence.\"\"\"\n # pylint: disable=protected-access\n new = cls()\n strings = list(_parse_keystring(keystr))\n for sub in utils.chunk(strings, cls._MAX_LEN):\n sequence = QKeySequence(', '.join(sub))\n new._sequences.append(sequence)\n\n if keystr:\n assert new, keystr\n\n # pylint: disable=protected-access\n new._validate(keystr)\n return new\n", "path": "qutebrowser/keyinput/keyutils.py" } ]
diff --git a/qutebrowser/keyinput/keyutils.py b/qutebrowser/keyinput/keyutils.py index bef3c7cf04a..cea394b0e68 100644 --- a/qutebrowser/keyinput/keyutils.py +++ b/qutebrowser/keyinput/keyutils.py @@ -34,6 +34,7 @@ Qt.Key_Control: Qt.ControlModifier, Qt.Key_Alt: Qt.AltModifier, Qt.Key_Meta: Qt.MetaModifier, + Qt.Key_AltGr: Qt.GroupSwitchModifier, Qt.Key_Mode_switch: Qt.GroupSwitchModifier, } diff --git a/tests/unit/keyinput/test_keyutils.py b/tests/unit/keyinput/test_keyutils.py index d6e7bce34ac..e0269adc82b 100644 --- a/tests/unit/keyinput/test_keyutils.py +++ b/tests/unit/keyinput/test_keyutils.py @@ -158,9 +158,16 @@ def test_missing(self, monkeypatch): (Qt.Key_A, Qt.ControlModifier | Qt.AltModifier | Qt.MetaModifier | Qt.ShiftModifier, '<Meta+Ctrl+Alt+Shift+a>'), + (ord('Œ'), Qt.NoModifier, '<Œ>'), + (ord('Œ'), Qt.ShiftModifier, '<Shift+Œ>'), + (ord('Œ'), Qt.GroupSwitchModifier, '<AltGr+Œ>'), + (ord('Œ'), Qt.GroupSwitchModifier | Qt.ShiftModifier, '<AltGr+Shift+Œ>'), (Qt.Key_Shift, Qt.ShiftModifier, '<Shift>'), (Qt.Key_Shift, Qt.ShiftModifier | Qt.ControlModifier, '<Ctrl+Shift>'), + (Qt.Key_Alt, Qt.AltModifier, '<Alt>'), + (Qt.Key_Shift, Qt.GroupSwitchModifier | Qt.ShiftModifier, '<AltGr+Shift>'), + (Qt.Key_AltGr, Qt.GroupSwitchModifier, '<AltGr>'), ]) def test_key_info_str(key, modifiers, expected): assert str(keyutils.KeyInfo(key, modifiers)) == expected
AltGr handled as both modifier and normal key, breaks g$ **Version info (see `:version`)**: qutebrowser v1.5.2 Git commit: 17eff15 (2019-02-14 20:14:15 -0800) Backend: QtWebEngine (Chromium 65.0.3325.230) Full version info: https://paste.the-compiler.org/view/4307eaf2 **Background** This bug occurs when using a Swedish language keyboard layout. To generate a $-sign on a swedish layout, the AltGr modifier is pressed together with "4". **Symptoms** g$ command does not work. The g command is cancelled the instant AltGr is pressed down. **Further information** Running scripts.keytester, the following is reported: When first pressing altgr: <AltGr+AltGr> key: 0x1001103 modifiers: 0x40000000 It seems to think AltGr is both a modifier and a regular key, which would explain why the g command is cancelled when it is pressed down. continuing to hold down AltGr and pressing the "4" key: <AltGr+$> key: 0x24 modifiers: 0x40000000 Which is the correct behaviour and explains why $ works fine in other contexts such as in visual mode.
zigpy__zha-device-handlers-1280
[ { "content": "\"\"\"Tuya Air Quality sensor.\"\"\"\n\nfrom zigpy.profiles import zha\nfrom zigpy.quirks import CustomDevice\nfrom zigpy.zcl.clusters.general import Basic, GreenPowerProxy, Groups, Ota, Scenes, Time\n\nfrom zhaquirks.const import (\n DEVICE_TYPE,\n ENDPOINTS,\n INPUT_CLUSTERS,\n MODELS_INFO,\n OUTPUT_CLUSTERS,\n PROFILE_ID,\n)\nfrom zhaquirks.tuya.air import (\n TuyaAirQualityCO2,\n TuyaAirQualityFormaldehyde,\n TuyaAirQualityHumidity,\n TuyaAirQualityTemperature,\n TuyaAirQualityVOC,\n TuyaCO2ManufCluster,\n)\n\n\nclass TuyaCO2Sensor(CustomDevice):\n \"\"\"Tuya Air quality device.\"\"\"\n\n signature = {\n # NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.AllocateAddress|RxOnWhenIdle|MainsPowered|FullFunctionDevice: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.0: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)]\n # device_version=1\n # SizePrefixedSimpleDescriptor(endpoint=1, profile=260, device_type=81, device_version=1,\n # input_clusters=[0, 4, 5, 61184],\n # output_clusters=[25, 10])\n MODELS_INFO: [\n (\"_TZE200_8ygsuhe1\", \"TS0601\"),\n (\"_TZE200_yvx5lh6k\", \"TS0601\"),\n ],\n ENDPOINTS: {\n 1: {\n PROFILE_ID: zha.PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SMART_PLUG,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster.cluster_id,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n }\n },\n }\n\n replacement = {\n ENDPOINTS: {\n 1: {\n DEVICE_TYPE: zha.DeviceType.ON_OFF_LIGHT,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster,\n TuyaAirQualityCO2,\n TuyaAirQualityFormaldehyde,\n TuyaAirQualityHumidity,\n TuyaAirQualityTemperature,\n TuyaAirQualityVOC,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n }\n }\n }\n\n\nclass TuyaCO2SensorGPP(CustomDevice):\n \"\"\"Tuya Air quality device with GPP.\"\"\"\n\n signature = {\n # NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.AllocateAddress|RxOnWhenIdle|MainsPowered|FullFunctionDevice: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.0: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)]\n # device_version=1\n # SizePrefixedSimpleDescriptor(endpoint=1, profile=260, device_type=81, device_version=1,\n # input_clusters=[0, 4, 5, 61184],\n # output_clusters=[25, 10])\n MODELS_INFO: [\n (\"_TZE200_ryfmq5rl\", \"TS0601\"),\n ],\n ENDPOINTS: {\n 1: {\n PROFILE_ID: zha.PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SMART_PLUG,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster.cluster_id,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n },\n 242: {\n # <SimpleDescriptor endpoint=242 profile=41440 device_type=97\n # input_clusters=[]\n # output_clusters=[33]\n PROFILE_ID: 41440,\n DEVICE_TYPE: 97,\n INPUT_CLUSTERS: [],\n OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],\n },\n },\n }\n\n replacement = {\n ENDPOINTS: {\n 1: {\n DEVICE_TYPE: zha.DeviceType.ON_OFF_LIGHT,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster,\n TuyaAirQualityCO2,\n TuyaAirQualityFormaldehyde,\n TuyaAirQualityHumidity,\n TuyaAirQualityTemperature,\n TuyaAirQualityVOC,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n },\n 242: {\n PROFILE_ID: 41440,\n DEVICE_TYPE: 97,\n INPUT_CLUSTERS: [],\n OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],\n },\n }\n }\n", "path": "zhaquirks/tuya/air/ts0601_air_quality.py" } ]
[ { "content": "\"\"\"Tuya Air Quality sensor.\"\"\"\n\nfrom zigpy.profiles import zha\nfrom zigpy.quirks import CustomDevice\nfrom zigpy.zcl.clusters.general import Basic, GreenPowerProxy, Groups, Ota, Scenes, Time\n\nfrom zhaquirks.const import (\n DEVICE_TYPE,\n ENDPOINTS,\n INPUT_CLUSTERS,\n MODELS_INFO,\n OUTPUT_CLUSTERS,\n PROFILE_ID,\n)\nfrom zhaquirks.tuya.air import (\n TuyaAirQualityCO2,\n TuyaAirQualityFormaldehyde,\n TuyaAirQualityHumidity,\n TuyaAirQualityTemperature,\n TuyaAirQualityVOC,\n TuyaCO2ManufCluster,\n)\n\n\nclass TuyaCO2Sensor(CustomDevice):\n \"\"\"Tuya Air quality device.\"\"\"\n\n signature = {\n # NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.AllocateAddress|RxOnWhenIdle|MainsPowered|FullFunctionDevice: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.0: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)]\n # device_version=1\n # SizePrefixedSimpleDescriptor(endpoint=1, profile=260, device_type=81, device_version=1,\n # input_clusters=[0, 4, 5, 61184],\n # output_clusters=[25, 10])\n MODELS_INFO: [\n (\"_TZE200_8ygsuhe1\", \"TS0601\"),\n (\"_TZE200_yvx5lh6k\", \"TS0601\"),\n ],\n ENDPOINTS: {\n 1: {\n PROFILE_ID: zha.PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SMART_PLUG,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster.cluster_id,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n }\n },\n }\n\n replacement = {\n ENDPOINTS: {\n 1: {\n DEVICE_TYPE: zha.DeviceType.ON_OFF_LIGHT,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster,\n TuyaAirQualityCO2,\n TuyaAirQualityFormaldehyde,\n TuyaAirQualityHumidity,\n TuyaAirQualityTemperature,\n TuyaAirQualityVOC,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n }\n }\n }\n\n\nclass TuyaCO2SensorGPP(CustomDevice):\n \"\"\"Tuya Air quality device with GPP.\"\"\"\n\n signature = {\n # NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.AllocateAddress|RxOnWhenIdle|MainsPowered|FullFunctionDevice: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.0: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)]\n # device_version=1\n # SizePrefixedSimpleDescriptor(endpoint=1, profile=260, device_type=81, device_version=1,\n # input_clusters=[0, 4, 5, 61184],\n # output_clusters=[25, 10])\n MODELS_INFO: [\n (\"_TZE200_ryfmq5rl\", \"TS0601\"),\n (\"_TZE200_yvx5lh6k\", \"TS0601\"),\n ],\n ENDPOINTS: {\n 1: {\n PROFILE_ID: zha.PROFILE_ID,\n DEVICE_TYPE: zha.DeviceType.SMART_PLUG,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster.cluster_id,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n },\n 242: {\n # <SimpleDescriptor endpoint=242 profile=41440 device_type=97\n # input_clusters=[]\n # output_clusters=[33]\n PROFILE_ID: 41440,\n DEVICE_TYPE: 97,\n INPUT_CLUSTERS: [],\n OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],\n },\n },\n }\n\n replacement = {\n ENDPOINTS: {\n 1: {\n DEVICE_TYPE: zha.DeviceType.ON_OFF_LIGHT,\n INPUT_CLUSTERS: [\n Basic.cluster_id,\n Groups.cluster_id,\n Scenes.cluster_id,\n TuyaCO2ManufCluster,\n TuyaAirQualityCO2,\n TuyaAirQualityFormaldehyde,\n TuyaAirQualityHumidity,\n TuyaAirQualityTemperature,\n TuyaAirQualityVOC,\n ],\n OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],\n },\n 242: {\n PROFILE_ID: 41440,\n DEVICE_TYPE: 97,\n INPUT_CLUSTERS: [],\n OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],\n },\n }\n }\n", "path": "zhaquirks/tuya/air/ts0601_air_quality.py" } ]
diff --git a/zhaquirks/tuya/air/ts0601_air_quality.py b/zhaquirks/tuya/air/ts0601_air_quality.py index 30dd15564b..16ce32449a 100644 --- a/zhaquirks/tuya/air/ts0601_air_quality.py +++ b/zhaquirks/tuya/air/ts0601_air_quality.py @@ -82,6 +82,7 @@ class TuyaCO2SensorGPP(CustomDevice): # output_clusters=[25, 10]) MODELS_INFO: [ ("_TZE200_ryfmq5rl", "TS0601"), + ("_TZE200_yvx5lh6k", "TS0601"), ], ENDPOINTS: { 1: {
[BUG] TS0601 _TZE200_yvx5lh6k (Smart Air Box) not finding the quirk I purchased a Tuya Smart Air Box with a Zigbee ID of: "_TZE200_8ygsuhe1" and it is working as expected. I purchased a second and it came with a Zigbee ID of: "_TZE200_yvx5lh6k" and it is not working as expected. The [Zigbee Device Compatibility Repository](https://zigbee.blakadder.com/Tuya_RSH-AirBox01.html) claims that both of the Zigbee IDs should be working. **Here is the Zigbee device signature from the Smart Air box that is working correctly (_TZE200_8ygsuhe1).** ``` { "node_descriptor": "NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.AllocateAddress|RxOnWhenIdle|MainsPowered|FullFunctionDevice: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.NONE: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)", "endpoints": { "1": { "profile_id": 260, "device_type": "0x0100", "in_clusters": [ "0x0000", "0x0004", "0x0005", "0x0402", "0x0405", "0x040d", "0x042b", "0x042e", "0xef00" ], "out_clusters": [ "0x000a", "0x0019" ] } }, "manufacturer": "_TZE200_8ygsuhe1", "model": "TS0601", "class": "zhaquirks.tuya.air.ts0601_air_quality.TuyaCO2Sensor" } ``` **Here is the Zigbee device signature from the Smart Air Box that is not working (_TZE200_yvx5lh6k)** ``` { "node_descriptor": "NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.AllocateAddress|RxOnWhenIdle|MainsPowered|FullFunctionDevice: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.NONE: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)", "endpoints": { "1": { "profile_id": 260, "device_type": "0x0051", "in_clusters": [ "0x0000", "0x0004", "0x0005", "0xef00" ], "out_clusters": [ "0x000a", "0x0019" ] } }, "manufacturer": "_TZE200_yvx5lh6k", "model": "TS0601", "class": "zigpy.device.Device" } ``` **Here is an interesting excerpt from the logs:** ``` 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Checking quirks for _TZE200_8ygsuhe1 TS0601 (84:fd:27:ff:fe:d6:98:2f) 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.tuya.air.ts0601_air_quality.TuyaCO2Sensor'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Found custom device replacement for 84:fd:27:ff:fe:d6:98:2f: <class 'zhaquirks.tuya.air.ts0601_air_quality.TuyaCO2Sensor'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Checking quirks for _TZE200_yvx5lh6k TS0601 (0c:43:14:ff:fe:88:14:b4) 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.xbee.xbee_io.XBeeSensor'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because endpoint list mismatch: {232, 230} {1} 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.xbee.xbee3_io.XBee3Sensor'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because endpoint list mismatch: {232, 230} {1} 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.smartthings.tag_v4.SmartThingsTagV4'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because device_type mismatch on at least one endpoint 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.smartthings.multi.SmartthingsMultiPurposeSensor'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because device_type mismatch on at least one endpoint 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.netvox.z308e3ed.Z308E3ED'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because device_type mismatch on at least one endpoint 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'zhaquirks.gledopto.soposhgu10.SoposhGU10'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because endpoint list mismatch: {11, 13} {1} 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Considering <class 'bellows.zigbee.application.EZSPCoordinator'> 2021-08-23 10:08:18 DEBUG (MainThread) [zigpy.quirks.registry] Fail because device_type mismatch on at least one endpoint ```
mkdocs__mkdocs-190
[ { "content": "# coding: utf-8\nfrom __future__ import print_function\n\nfrom mkdocs import nav, toc, utils\nfrom mkdocs.compat import urljoin, urlparse, urlunparse, PY2\nimport jinja2\nimport markdown\nimport os\nimport re\nimport json\n\n\nclass PathToURL(object):\n def __init__(self, template, nav=None):\n self.template = template\n self.nav = nav\n\n def __call__(self, match):\n url = match.groups()[0]\n scheme, netloc, path, query, query, fragment = urlparse(url)\n\n if scheme or netloc:\n # Ignore URLs unless they are a relative link to a markdown file.\n return self.template % url\n\n if self.nav and not utils.is_markdown_file(path):\n path = utils.create_media_urls(self.nav, [path])[0]\n elif self.nav:\n # If the site navigation has been provided, then validate\n # the internal hyperlink, making sure the target actually exists.\n target_file = self.nav.file_context.make_absolute(path)\n if target_file not in self.nav.source_files:\n source_file = self.nav.file_context.current_file\n msg = (\n 'The page \"%s\" contained a hyperlink to \"%s\" which '\n 'is not listed in the \"pages\" configuration.'\n )\n assert False, msg % (source_file, target_file)\n path = utils.get_url_path(target_file, self.nav.use_directory_urls)\n path = self.nav.url_context.make_relative(path)\n else:\n path = utils.get_url_path(path).lstrip('/')\n\n # Convert the .md hyperlink to a relative hyperlink to the HTML page.\n url = urlunparse((scheme, netloc, path, query, query, fragment))\n return self.template % url\n\n\ndef convert_markdown(markdown_source, extensions=()):\n \"\"\"\n Convert the Markdown source file to HTML content, and additionally\n return the parsed table of contents, and a dictionary of any metadata\n that was specified in the Markdown file.\n\n `extensions` is an optional sequence of Python Markdown extensions to add\n to the default set.\n \"\"\"\n\n # Prepend a table of contents marker for the TOC extension\n markdown_source = toc.pre_process(markdown_source)\n\n # Generate the HTML from the markdown source\n md = markdown.Markdown(\n extensions=['meta', 'toc', 'tables', 'fenced_code'] + list(extensions)\n )\n html_content = md.convert(markdown_source)\n meta = md.Meta\n\n # Strip out the generated table of contents\n (html_content, toc_html) = toc.post_process(html_content)\n\n # Post process the generated table of contents into a data structure\n table_of_contents = toc.TableOfContents(toc_html)\n\n return (html_content, table_of_contents, meta)\n\n\ndef post_process_html(html_content, nav=None):\n\n anchor_sub = PathToURL('a href=\"%s\"', nav)\n html_content = re.sub(r'a href=\"([^\"]*)\"', anchor_sub, html_content)\n\n img_sub = PathToURL('src=\"%s\"', nav)\n html_content = re.sub(r'src=\"([^\"]*)\"', img_sub, html_content)\n\n html_content = html_content.replace('<pre>', '<pre class=\"prettyprint well\">')\n\n return html_content\n\n\ndef get_context(page, content, nav, toc, meta, config):\n site_name = config['site_name']\n\n if page.is_homepage or page.title is None:\n page_title = site_name\n else:\n page_title = page.title + ' - ' + site_name\n\n if page.is_homepage:\n page_description = config['site_description']\n else:\n page_description = None\n\n if config['site_url']:\n base = config['site_url']\n if not base.endswith('/'):\n base += '/'\n canonical_url = urljoin(base, page.abs_url.lstrip('/'))\n else:\n canonical_url = None\n\n if config['site_favicon']:\n site_favicon = nav.url_context.make_relative('/' + config['site_favicon'])\n else:\n site_favicon = None\n\n extra_javascript = utils.create_media_urls(nav=nav, url_list=config['extra_javascript'])\n\n extra_css = utils.create_media_urls(nav=nav, url_list=config['extra_css'])\n\n return {\n 'site_name': site_name,\n 'site_author': config['site_author'],\n 'favicon': site_favicon,\n\n 'page_title': page_title,\n 'page_description': page_description,\n\n 'content': content,\n 'toc': toc,\n 'nav': nav,\n 'meta': meta,\n\n 'base_url': nav.url_context.make_relative('/'),\n 'homepage_url': nav.homepage.url,\n 'canonical_url': canonical_url,\n\n 'current_page': page,\n 'previous_page': page.previous_page,\n 'next_page': page.next_page,\n\n # Note that there's intentionally repetition here. Rather than simply\n # provide the config dictionary we instead pass everything explicitly.\n #\n # This helps ensure that we can throughly document the context that\n # gets passed to themes.\n 'repo_url': config['repo_url'],\n 'repo_name': config['repo_name'],\n\n 'extra_css': extra_css,\n 'extra_javascript': extra_javascript,\n\n 'include_nav': config['include_nav'],\n 'include_next_prev': config['include_next_prev'],\n 'include_search': config['include_search'],\n\n 'copyright': config['copyright'],\n 'google-analytics': config['google-analytics']\n }\n\n\ndef build_pages(config, dump_json=False):\n \"\"\"\n Builds all the pages and writes them into the build directory.\n \"\"\"\n site_navigation = nav.SiteNavigation(config['pages'], config['use_directory_urls'])\n loader = jinja2.FileSystemLoader(config['theme_dir'])\n env = jinja2.Environment(loader=loader)\n\n for page in site_navigation.walk_pages():\n # Read the input file\n input_path = os.path.join(config['docs_dir'], page.input_path)\n input_content = open(input_path, 'r').read()\n if PY2:\n input_content = input_content.decode('utf-8')\n\n # Process the markdown text\n html_content, table_of_contents, meta = convert_markdown(\n input_content, extensions=config['markdown_extensions']\n )\n html_content = post_process_html(html_content, site_navigation)\n\n context = get_context(\n page, html_content, site_navigation,\n table_of_contents, meta, config\n )\n\n # Allow 'template:' override in md source files.\n if 'template' in meta:\n template = env.get_template(meta['template'][0])\n else:\n template = env.get_template('base.html')\n\n # Render the template.\n output_content = template.render(context)\n\n # Write the output file.\n output_path = os.path.join(config['site_dir'], page.output_path)\n if dump_json:\n json_context = {\n 'content': context['content'],\n 'title': context['current_page'].title,\n 'url': context['current_page'].abs_url,\n 'language': 'en',\n }\n utils.write_file(json.dumps(json_context, indent=4).encode('utf-8'), output_path.replace('.html', '.json'))\n else:\n utils.write_file(output_content.encode('utf-8'), output_path)\n\n\ndef build(config, live_server=False, dump_json=False, clean_site_dir=False):\n \"\"\"\n Perform a full site build.\n \"\"\"\n if clean_site_dir:\n print(\"Cleaning site directory\")\n utils.clean_directory(config['site_dir'])\n if not live_server:\n print(\"Building documentation to directory: %s\" % config['site_dir'])\n if not clean_site_dir and site_directory_contains_stale_files(config['site_dir']):\n print(\"Directory %s contains stale files. Use --clean to remove them.\" % config['site_dir'])\n\n if dump_json:\n build_pages(config, dump_json=True)\n else:\n # Reversed as we want to take the media files from the builtin theme\n # and then from the custom theme_dir so the custom versions take take\n # precedence.\n for theme_dir in reversed(config['theme_dir']):\n utils.copy_media_files(theme_dir, config['site_dir'])\n utils.copy_media_files(config['docs_dir'], config['site_dir'])\n build_pages(config)\n\n\ndef site_directory_contains_stale_files(site_directory):\n \"\"\"\n Check if the site directory contains stale files from a previous build.\n Right now the check returns true if the directory is not empty.\n A more sophisticated approach should be found to trigger only if there are\n files that won't be overwritten anyway.\n \"\"\"\n if os.path.exists(site_directory):\n if os.listdir(site_directory):\n return True\n return False\n", "path": "mkdocs/build.py" } ]
[ { "content": "# coding: utf-8\nfrom __future__ import print_function\n\nfrom mkdocs import nav, toc, utils\nfrom mkdocs.compat import urljoin, urlparse, urlunparse, PY2\nimport jinja2\nimport markdown\nimport os\nimport re\nimport json\n\n\nclass PathToURL(object):\n def __init__(self, template, nav=None):\n self.template = template\n self.nav = nav\n\n def __call__(self, match):\n url = match.groups()[0]\n scheme, netloc, path, query, query, fragment = urlparse(url)\n\n if scheme or netloc:\n # Ignore URLs unless they are a relative link to a markdown file.\n return self.template % url\n\n if self.nav and not utils.is_markdown_file(path):\n path = utils.create_media_urls(self.nav, [path])[0]\n elif self.nav:\n # If the site navigation has been provided, then validate\n # the internal hyperlink, making sure the target actually exists.\n target_file = self.nav.file_context.make_absolute(path)\n if target_file not in self.nav.source_files:\n source_file = self.nav.file_context.current_file\n msg = (\n 'The page \"%s\" contained a hyperlink to \"%s\" which '\n 'is not listed in the \"pages\" configuration.'\n )\n assert False, msg % (source_file, target_file)\n path = utils.get_url_path(target_file, self.nav.use_directory_urls)\n path = self.nav.url_context.make_relative(path)\n else:\n path = utils.get_url_path(path).lstrip('/')\n\n # Convert the .md hyperlink to a relative hyperlink to the HTML page.\n url = urlunparse((scheme, netloc, path, query, query, fragment))\n return self.template % url\n\n\ndef convert_markdown(markdown_source, extensions=()):\n \"\"\"\n Convert the Markdown source file to HTML content, and additionally\n return the parsed table of contents, and a dictionary of any metadata\n that was specified in the Markdown file.\n\n `extensions` is an optional sequence of Python Markdown extensions to add\n to the default set.\n \"\"\"\n\n # Prepend a table of contents marker for the TOC extension\n markdown_source = toc.pre_process(markdown_source)\n\n # Generate the HTML from the markdown source\n md = markdown.Markdown(\n extensions=['meta', 'toc', 'tables', 'fenced_code'] + list(extensions)\n )\n html_content = md.convert(markdown_source)\n meta = md.Meta\n\n # Strip out the generated table of contents\n (html_content, toc_html) = toc.post_process(html_content)\n\n # Post process the generated table of contents into a data structure\n table_of_contents = toc.TableOfContents(toc_html)\n\n return (html_content, table_of_contents, meta)\n\n\ndef post_process_html(html_content, nav=None):\n\n anchor_sub = PathToURL('a href=\"%s\"', nav)\n html_content = re.sub(r'a href=\"([^\"]*)\"', anchor_sub, html_content)\n\n img_sub = PathToURL('src=\"%s\"', nav)\n html_content = re.sub(r'src=\"([^\"]*)\"', img_sub, html_content)\n\n return html_content\n\n\ndef get_context(page, content, nav, toc, meta, config):\n site_name = config['site_name']\n\n if page.is_homepage or page.title is None:\n page_title = site_name\n else:\n page_title = page.title + ' - ' + site_name\n\n if page.is_homepage:\n page_description = config['site_description']\n else:\n page_description = None\n\n if config['site_url']:\n base = config['site_url']\n if not base.endswith('/'):\n base += '/'\n canonical_url = urljoin(base, page.abs_url.lstrip('/'))\n else:\n canonical_url = None\n\n if config['site_favicon']:\n site_favicon = nav.url_context.make_relative('/' + config['site_favicon'])\n else:\n site_favicon = None\n\n extra_javascript = utils.create_media_urls(nav=nav, url_list=config['extra_javascript'])\n\n extra_css = utils.create_media_urls(nav=nav, url_list=config['extra_css'])\n\n return {\n 'site_name': site_name,\n 'site_author': config['site_author'],\n 'favicon': site_favicon,\n\n 'page_title': page_title,\n 'page_description': page_description,\n\n 'content': content,\n 'toc': toc,\n 'nav': nav,\n 'meta': meta,\n\n 'base_url': nav.url_context.make_relative('/'),\n 'homepage_url': nav.homepage.url,\n 'canonical_url': canonical_url,\n\n 'current_page': page,\n 'previous_page': page.previous_page,\n 'next_page': page.next_page,\n\n # Note that there's intentionally repetition here. Rather than simply\n # provide the config dictionary we instead pass everything explicitly.\n #\n # This helps ensure that we can throughly document the context that\n # gets passed to themes.\n 'repo_url': config['repo_url'],\n 'repo_name': config['repo_name'],\n\n 'extra_css': extra_css,\n 'extra_javascript': extra_javascript,\n\n 'include_nav': config['include_nav'],\n 'include_next_prev': config['include_next_prev'],\n 'include_search': config['include_search'],\n\n 'copyright': config['copyright'],\n 'google-analytics': config['google-analytics']\n }\n\n\ndef build_pages(config, dump_json=False):\n \"\"\"\n Builds all the pages and writes them into the build directory.\n \"\"\"\n site_navigation = nav.SiteNavigation(config['pages'], config['use_directory_urls'])\n loader = jinja2.FileSystemLoader(config['theme_dir'])\n env = jinja2.Environment(loader=loader)\n\n for page in site_navigation.walk_pages():\n # Read the input file\n input_path = os.path.join(config['docs_dir'], page.input_path)\n input_content = open(input_path, 'r').read()\n if PY2:\n input_content = input_content.decode('utf-8')\n\n # Process the markdown text\n html_content, table_of_contents, meta = convert_markdown(\n input_content, extensions=config['markdown_extensions']\n )\n html_content = post_process_html(html_content, site_navigation)\n\n context = get_context(\n page, html_content, site_navigation,\n table_of_contents, meta, config\n )\n\n # Allow 'template:' override in md source files.\n if 'template' in meta:\n template = env.get_template(meta['template'][0])\n else:\n template = env.get_template('base.html')\n\n # Render the template.\n output_content = template.render(context)\n\n # Write the output file.\n output_path = os.path.join(config['site_dir'], page.output_path)\n if dump_json:\n json_context = {\n 'content': context['content'],\n 'title': context['current_page'].title,\n 'url': context['current_page'].abs_url,\n 'language': 'en',\n }\n utils.write_file(json.dumps(json_context, indent=4).encode('utf-8'), output_path.replace('.html', '.json'))\n else:\n utils.write_file(output_content.encode('utf-8'), output_path)\n\n\ndef build(config, live_server=False, dump_json=False, clean_site_dir=False):\n \"\"\"\n Perform a full site build.\n \"\"\"\n if clean_site_dir:\n print(\"Cleaning site directory\")\n utils.clean_directory(config['site_dir'])\n if not live_server:\n print(\"Building documentation to directory: %s\" % config['site_dir'])\n if not clean_site_dir and site_directory_contains_stale_files(config['site_dir']):\n print(\"Directory %s contains stale files. Use --clean to remove them.\" % config['site_dir'])\n\n if dump_json:\n build_pages(config, dump_json=True)\n else:\n # Reversed as we want to take the media files from the builtin theme\n # and then from the custom theme_dir so the custom versions take take\n # precedence.\n for theme_dir in reversed(config['theme_dir']):\n utils.copy_media_files(theme_dir, config['site_dir'])\n utils.copy_media_files(config['docs_dir'], config['site_dir'])\n build_pages(config)\n\n\ndef site_directory_contains_stale_files(site_directory):\n \"\"\"\n Check if the site directory contains stale files from a previous build.\n Right now the check returns true if the directory is not empty.\n A more sophisticated approach should be found to trigger only if there are\n files that won't be overwritten anyway.\n \"\"\"\n if os.path.exists(site_directory):\n if os.listdir(site_directory):\n return True\n return False\n", "path": "mkdocs/build.py" } ]
diff --git a/mkdocs/build.py b/mkdocs/build.py index 8d3dbab001..2aedc8eb4f 100644 --- a/mkdocs/build.py +++ b/mkdocs/build.py @@ -83,8 +83,6 @@ def post_process_html(html_content, nav=None): img_sub = PathToURL('src="%s"', nav) html_content = re.sub(r'src="([^"]*)"', img_sub, html_content) - html_content = html_content.replace('<pre>', '<pre class="prettyprint well">') - return html_content diff --git a/mkdocs/themes/mkdocs/js/base.js b/mkdocs/themes/mkdocs/js/base.js index c99cce721f..9c172b0bed 100644 --- a/mkdocs/themes/mkdocs/js/base.js +++ b/mkdocs/themes/mkdocs/js/base.js @@ -1,6 +1,7 @@ /* Prettyify */ $( document ).ready(function() { + $('pre code').parent().addClass('prettyprint well') prettyPrint(); });
Make syntax highlighting optional It would be nice to have an option to disable the prettify class from being added to the pre-tag. Personally, I prefer using another highlighter that doesn't rely on extra classes.
fonttools__fonttools-2827
[ { "content": "\"\"\"\nInstantiate a variation font. Run, eg:\n\n$ fonttools varLib.mutator ./NotoSansArabic-VF.ttf wght=140 wdth=85\n\"\"\"\nfrom fontTools.misc.fixedTools import floatToFixedToFloat, floatToFixed\nfrom fontTools.misc.roundTools import otRound\nfrom fontTools.pens.boundsPen import BoundsPen\nfrom fontTools.ttLib import TTFont, newTable\nfrom fontTools.ttLib.tables import ttProgram\nfrom fontTools.ttLib.tables._g_l_y_f import GlyphCoordinates, flagOverlapSimple, OVERLAP_COMPOUND\nfrom fontTools.varLib.models import (\n\tsupportScalar,\n\tnormalizeLocation,\n\tpiecewiseLinearMap,\n)\nfrom fontTools.varLib.merger import MutatorMerger\nfrom fontTools.varLib.varStore import VarStoreInstancer\nfrom fontTools.varLib.mvar import MVAR_ENTRIES\nfrom fontTools.varLib.iup import iup_delta\nimport fontTools.subset.cff\nimport os.path\nimport logging\nfrom io import BytesIO\n\n\nlog = logging.getLogger(\"fontTools.varlib.mutator\")\n\n# map 'wdth' axis (1..200) to OS/2.usWidthClass (1..9), rounding to closest\nOS2_WIDTH_CLASS_VALUES = {}\npercents = [50.0, 62.5, 75.0, 87.5, 100.0, 112.5, 125.0, 150.0, 200.0]\nfor i, (prev, curr) in enumerate(zip(percents[:-1], percents[1:]), start=1):\n\thalf = (prev + curr) / 2\n\tOS2_WIDTH_CLASS_VALUES[half] = i\n\n\ndef interpolate_cff2_PrivateDict(topDict, interpolateFromDeltas):\n\tpd_blend_lists = (\"BlueValues\", \"OtherBlues\", \"FamilyBlues\",\n\t\t\t\t\t\t\"FamilyOtherBlues\", \"StemSnapH\",\n\t\t\t\t\t\t\"StemSnapV\")\n\tpd_blend_values = (\"BlueScale\", \"BlueShift\",\n\t\t\t\t\t\t\"BlueFuzz\", \"StdHW\", \"StdVW\")\n\tfor fontDict in topDict.FDArray:\n\t\tpd = fontDict.Private\n\t\tvsindex = pd.vsindex if (hasattr(pd, 'vsindex')) else 0\n\t\tfor key, value in pd.rawDict.items():\n\t\t\tif (key in pd_blend_values) and isinstance(value, list):\n\t\t\t\t\tdelta = interpolateFromDeltas(vsindex, value[1:])\n\t\t\t\t\tpd.rawDict[key] = otRound(value[0] + delta)\n\t\t\telif (key in pd_blend_lists) and isinstance(value[0], list):\n\t\t\t\t\"\"\"If any argument in a BlueValues list is a blend list,\n\t\t\t\tthen they all are. The first value of each list is an\n\t\t\t\tabsolute value. The delta tuples are calculated from\n\t\t\t\trelative master values, hence we need to append all the\n\t\t\t\tdeltas to date to each successive absolute value.\"\"\"\n\t\t\t\tdelta = 0\n\t\t\t\tfor i, val_list in enumerate(value):\n\t\t\t\t\tdelta += otRound(interpolateFromDeltas(vsindex,\n\t\t\t\t\t\t\t\t\t\tval_list[1:]))\n\t\t\t\t\tvalue[i] = val_list[0] + delta\n\n\ndef interpolate_cff2_charstrings(topDict, interpolateFromDeltas, glyphOrder):\n\tcharstrings = topDict.CharStrings\n\tfor gname in glyphOrder:\n\t\t# Interpolate charstring\n\t\t# e.g replace blend op args with regular args,\n\t\t# and use and discard vsindex op.\n\t\tcharstring = charstrings[gname]\n\t\tnew_program = []\n\t\tvsindex = 0\n\t\tlast_i = 0\n\t\tfor i, token in enumerate(charstring.program):\n\t\t\tif token == 'vsindex':\n\t\t\t\tvsindex = charstring.program[i - 1]\n\t\t\t\tif last_i != 0:\n\t\t\t\t\tnew_program.extend(charstring.program[last_i:i - 1])\n\t\t\t\tlast_i = i + 1\n\t\t\telif token == 'blend':\n\t\t\t\tnum_regions = charstring.getNumRegions(vsindex)\n\t\t\t\tnumMasters = 1 + num_regions\n\t\t\t\tnum_args = charstring.program[i - 1]\n\t\t\t\t# The program list starting at program[i] is now:\n\t\t\t\t# ..args for following operations\n\t\t\t\t# num_args values from the default font\n\t\t\t\t# num_args tuples, each with numMasters-1 delta values\n\t\t\t\t# num_blend_args\n\t\t\t\t# 'blend'\n\t\t\t\targi = i - (num_args * numMasters + 1)\n\t\t\t\tend_args = tuplei = argi + num_args\n\t\t\t\twhile argi < end_args:\n\t\t\t\t\tnext_ti = tuplei + num_regions\n\t\t\t\t\tdeltas = charstring.program[tuplei:next_ti]\n\t\t\t\t\tdelta = interpolateFromDeltas(vsindex, deltas)\n\t\t\t\t\tcharstring.program[argi] += otRound(delta)\n\t\t\t\t\ttuplei = next_ti\n\t\t\t\t\targi += 1\n\t\t\t\tnew_program.extend(charstring.program[last_i:end_args])\n\t\t\t\tlast_i = i + 1\n\t\tif last_i != 0:\n\t\t\tnew_program.extend(charstring.program[last_i:])\n\t\t\tcharstring.program = new_program\n\n\ndef interpolate_cff2_metrics(varfont, topDict, glyphOrder, loc):\n\t\"\"\"Unlike TrueType glyphs, neither advance width nor bounding box\n\tinfo is stored in a CFF2 charstring. The width data exists only in\n\tthe hmtx and HVAR tables. Since LSB data cannot be interpolated\n\treliably from the master LSB values in the hmtx table, we traverse\n\tthe charstring to determine the actual bound box. \"\"\"\n\n\tcharstrings = topDict.CharStrings\n\tboundsPen = BoundsPen(glyphOrder)\n\thmtx = varfont['hmtx']\n\thvar_table = None\n\tif 'HVAR' in varfont:\n\t\thvar_table = varfont['HVAR'].table\n\t\tfvar = varfont['fvar']\n\t\tvarStoreInstancer = VarStoreInstancer(hvar_table.VarStore, fvar.axes, loc)\n\n\tfor gid, gname in enumerate(glyphOrder):\n\t\tentry = list(hmtx[gname])\n\t\t# get width delta.\n\t\tif hvar_table:\n\t\t\tif hvar_table.AdvWidthMap:\n\t\t\t\twidth_idx = hvar_table.AdvWidthMap.mapping[gname]\n\t\t\telse:\n\t\t\t\twidth_idx = gid\n\t\t\twidth_delta = otRound(varStoreInstancer[width_idx])\n\t\telse:\n\t\t\twidth_delta = 0\n\n\t\t# get LSB.\n\t\tboundsPen.init()\n\t\tcharstring = charstrings[gname]\n\t\tcharstring.draw(boundsPen)\n\t\tif boundsPen.bounds is None:\n\t\t\t# Happens with non-marking glyphs\n\t\t\tlsb_delta = 0\n\t\telse:\n\t\t\tlsb = otRound(boundsPen.bounds[0])\n\t\t\tlsb_delta = entry[1] - lsb\n\n\t\tif lsb_delta or width_delta:\n\t\t\tif width_delta:\n\t\t\t\tentry[0] += width_delta\n\t\t\tif lsb_delta:\n\t\t\t\tentry[1] = lsb\n\t\t\thmtx[gname] = tuple(entry)\n\n\ndef instantiateVariableFont(varfont, location, inplace=False, overlap=True):\n\t\"\"\" Generate a static instance from a variable TTFont and a dictionary\n\tdefining the desired location along the variable font's axes.\n\tThe location values must be specified as user-space coordinates, e.g.:\n\n\t\t{'wght': 400, 'wdth': 100}\n\n\tBy default, a new TTFont object is returned. If ``inplace`` is True, the\n\tinput varfont is modified and reduced to a static font.\n\n\tWhen the overlap parameter is defined as True,\n\tOVERLAP_SIMPLE and OVERLAP_COMPOUND bits are set to 1. See\n\thttps://docs.microsoft.com/en-us/typography/opentype/spec/glyf\n\t\"\"\"\n\tif not inplace:\n\t\t# make a copy to leave input varfont unmodified\n\t\tstream = BytesIO()\n\t\tvarfont.save(stream)\n\t\tstream.seek(0)\n\t\tvarfont = TTFont(stream)\n\n\tfvar = varfont['fvar']\n\taxes = {a.axisTag:(a.minValue,a.defaultValue,a.maxValue) for a in fvar.axes}\n\tloc = normalizeLocation(location, axes)\n\tif 'avar' in varfont:\n\t\tmaps = varfont['avar'].segments\n\t\tloc = {k: piecewiseLinearMap(v, maps[k]) for k,v in loc.items()}\n\t# Quantize to F2Dot14, to avoid surprise interpolations.\n\tloc = {k:floatToFixedToFloat(v, 14) for k,v in loc.items()}\n\t# Location is normalized now\n\tlog.info(\"Normalized location: %s\", loc)\n\n\tif 'gvar' in varfont:\n\t\tlog.info(\"Mutating glyf/gvar tables\")\n\t\tgvar = varfont['gvar']\n\t\tglyf = varfont['glyf']\n\t\thMetrics = varfont['hmtx'].metrics\n\t\tvMetrics = getattr(varfont.get('vmtx'), 'metrics', None)\n\t\t# get list of glyph names in gvar sorted by component depth\n\t\tglyphnames = sorted(\n\t\t\tgvar.variations.keys(),\n\t\t\tkey=lambda name: (\n\t\t\t\tglyf[name].getCompositeMaxpValues(glyf).maxComponentDepth\n\t\t\t\tif glyf[name].isComposite() else 0,\n\t\t\t\tname))\n\t\tfor glyphname in glyphnames:\n\t\t\tvariations = gvar.variations[glyphname]\n\t\t\tcoordinates, _ = glyf._getCoordinatesAndControls(glyphname, hMetrics, vMetrics)\n\t\t\torigCoords, endPts = None, None\n\t\t\tfor var in variations:\n\t\t\t\tscalar = supportScalar(loc, var.axes)\n\t\t\t\tif not scalar: continue\n\t\t\t\tdelta = var.coordinates\n\t\t\t\tif None in delta:\n\t\t\t\t\tif origCoords is None:\n\t\t\t\t\t\torigCoords, g = glyf._getCoordinatesAndControls(glyphname, hMetrics, vMetrics)\n\t\t\t\t\tdelta = iup_delta(delta, origCoords, g.endPts)\n\t\t\t\tcoordinates += GlyphCoordinates(delta) * scalar\n\t\t\tglyf._setCoordinates(glyphname, coordinates, hMetrics, vMetrics)\n\telse:\n\t\tglyf = None\n\n\tif 'cvar' in varfont:\n\t\tlog.info(\"Mutating cvt/cvar tables\")\n\t\tcvar = varfont['cvar']\n\t\tcvt = varfont['cvt ']\n\t\tdeltas = {}\n\t\tfor var in cvar.variations:\n\t\t\tscalar = supportScalar(loc, var.axes)\n\t\t\tif not scalar: continue\n\t\t\tfor i, c in enumerate(var.coordinates):\n\t\t\t\tif c is not None:\n\t\t\t\t\tdeltas[i] = deltas.get(i, 0) + scalar * c\n\t\tfor i, delta in deltas.items():\n\t\t\tcvt[i] += otRound(delta)\n\n\tif 'CFF2' in varfont:\n\t\tlog.info(\"Mutating CFF2 table\")\n\t\tglyphOrder = varfont.getGlyphOrder()\n\t\tCFF2 = varfont['CFF2']\n\t\ttopDict = CFF2.cff.topDictIndex[0]\n\t\tvsInstancer = VarStoreInstancer(topDict.VarStore.otVarStore, fvar.axes, loc)\n\t\tinterpolateFromDeltas = vsInstancer.interpolateFromDeltas\n\t\tinterpolate_cff2_PrivateDict(topDict, interpolateFromDeltas)\n\t\tCFF2.desubroutinize()\n\t\tinterpolate_cff2_charstrings(topDict, interpolateFromDeltas, glyphOrder)\n\t\tinterpolate_cff2_metrics(varfont, topDict, glyphOrder, loc)\n\t\tdel topDict.rawDict['VarStore']\n\t\tdel topDict.VarStore\n\n\tif 'MVAR' in varfont:\n\t\tlog.info(\"Mutating MVAR table\")\n\t\tmvar = varfont['MVAR'].table\n\t\tvarStoreInstancer = VarStoreInstancer(mvar.VarStore, fvar.axes, loc)\n\t\trecords = mvar.ValueRecord\n\t\tfor rec in records:\n\t\t\tmvarTag = rec.ValueTag\n\t\t\tif mvarTag not in MVAR_ENTRIES:\n\t\t\t\tcontinue\n\t\t\ttableTag, itemName = MVAR_ENTRIES[mvarTag]\n\t\t\tdelta = otRound(varStoreInstancer[rec.VarIdx])\n\t\t\tif not delta:\n\t\t\t\tcontinue\n\t\t\tsetattr(varfont[tableTag], itemName,\n\t\t\t\tgetattr(varfont[tableTag], itemName) + delta)\n\n\tlog.info(\"Mutating FeatureVariations\")\n\tfor tableTag in 'GSUB','GPOS':\n\t\tif not tableTag in varfont:\n\t\t\tcontinue\n\t\ttable = varfont[tableTag].table\n\t\tif not getattr(table, 'FeatureVariations', None):\n\t\t\tcontinue\n\t\tvariations = table.FeatureVariations\n\t\tfor record in variations.FeatureVariationRecord:\n\t\t\tapplies = True\n\t\t\tfor condition in record.ConditionSet.ConditionTable:\n\t\t\t\tif condition.Format == 1:\n\t\t\t\t\taxisIdx = condition.AxisIndex\n\t\t\t\t\taxisTag = fvar.axes[axisIdx].axisTag\n\t\t\t\t\tMin = condition.FilterRangeMinValue\n\t\t\t\t\tMax = condition.FilterRangeMaxValue\n\t\t\t\t\tv = loc[axisTag]\n\t\t\t\t\tif not (Min <= v <= Max):\n\t\t\t\t\t\tapplies = False\n\t\t\t\telse:\n\t\t\t\t\tapplies = False\n\t\t\t\tif not applies:\n\t\t\t\t\tbreak\n\n\t\t\tif applies:\n\t\t\t\tassert record.FeatureTableSubstitution.Version == 0x00010000\n\t\t\t\tfor rec in record.FeatureTableSubstitution.SubstitutionRecord:\n\t\t\t\t\ttable.FeatureList.FeatureRecord[rec.FeatureIndex].Feature = rec.Feature\n\t\t\t\tbreak\n\t\tdel table.FeatureVariations\n\n\tif 'GDEF' in varfont and varfont['GDEF'].table.Version >= 0x00010003:\n\t\tlog.info(\"Mutating GDEF/GPOS/GSUB tables\")\n\t\tgdef = varfont['GDEF'].table\n\t\tinstancer = VarStoreInstancer(gdef.VarStore, fvar.axes, loc)\n\n\t\tmerger = MutatorMerger(varfont, instancer)\n\t\tmerger.mergeTables(varfont, [varfont], ['GDEF', 'GPOS'])\n\n\t\t# Downgrade GDEF.\n\t\tdel gdef.VarStore\n\t\tgdef.Version = 0x00010002\n\t\tif gdef.MarkGlyphSetsDef is None:\n\t\t\tdel gdef.MarkGlyphSetsDef\n\t\t\tgdef.Version = 0x00010000\n\n\t\tif not (gdef.LigCaretList or\n\t\t\tgdef.MarkAttachClassDef or\n\t\t\tgdef.GlyphClassDef or\n\t\t\tgdef.AttachList or\n\t\t\t(gdef.Version >= 0x00010002 and gdef.MarkGlyphSetsDef)):\n\t\t\tdel varfont['GDEF']\n\n\taddidef = False\n\tif glyf:\n\t\tfor glyph in glyf.glyphs.values():\n\t\t\tif hasattr(glyph, \"program\"):\n\t\t\t\tinstructions = glyph.program.getAssembly()\n\t\t\t\t# If GETVARIATION opcode is used in bytecode of any glyph add IDEF\n\t\t\t\taddidef = any(op.startswith(\"GETVARIATION\") for op in instructions)\n\t\t\t\tif addidef:\n\t\t\t\t\tbreak\n\t\tif overlap:\n\t\t\tfor glyph_name in glyf.keys():\n\t\t\t\tglyph = glyf[glyph_name]\n\t\t\t\t# Set OVERLAP_COMPOUND bit for compound glyphs\n\t\t\t\tif glyph.isComposite():\n\t\t\t\t\tglyph.components[0].flags |= OVERLAP_COMPOUND\n\t\t\t\t# Set OVERLAP_SIMPLE bit for simple glyphs\n\t\t\t\telif glyph.numberOfContours > 0:\n\t\t\t\t\tglyph.flags[0] |= flagOverlapSimple\n\tif addidef:\n\t\tlog.info(\"Adding IDEF to fpgm table for GETVARIATION opcode\")\n\t\tasm = []\n\t\tif 'fpgm' in varfont:\n\t\t\tfpgm = varfont['fpgm']\n\t\t\tasm = fpgm.program.getAssembly()\n\t\telse:\n\t\t\tfpgm = newTable('fpgm')\n\t\t\tfpgm.program = ttProgram.Program()\n\t\t\tvarfont['fpgm'] = fpgm\n\t\tasm.append(\"PUSHB[000] 145\")\n\t\tasm.append(\"IDEF[ ]\")\n\t\targs = [str(len(loc))]\n\t\tfor a in fvar.axes:\n\t\t\targs.append(str(floatToFixed(loc[a.axisTag], 14)))\n\t\tasm.append(\"NPUSHW[ ] \" + ' '.join(args))\n\t\tasm.append(\"ENDF[ ]\")\n\t\tfpgm.program.fromAssembly(asm)\n\n\t\t# Change maxp attributes as IDEF is added\n\t\tif 'maxp' in varfont:\n\t\t\tmaxp = varfont['maxp']\n\t\t\tsetattr(maxp, \"maxInstructionDefs\", 1 + getattr(maxp, \"maxInstructionDefs\", 0))\n\t\t\tsetattr(maxp, \"maxStackElements\", max(len(loc), getattr(maxp, \"maxStackElements\", 0)))\n\n\tif 'name' in varfont:\n\t\tlog.info(\"Pruning name table\")\n\t\texclude = {a.axisNameID for a in fvar.axes}\n\t\tfor i in fvar.instances:\n\t\t\texclude.add(i.subfamilyNameID)\n\t\t\texclude.add(i.postscriptNameID)\n\t\tif 'ltag' in varfont:\n\t\t\t# Drop the whole 'ltag' table if all its language tags are referenced by\n\t\t\t# name records to be pruned.\n\t\t\t# TODO: prune unused ltag tags and re-enumerate langIDs accordingly\n\t\t\texcludedUnicodeLangIDs = [\n\t\t\t\tn.langID for n in varfont['name'].names\n\t\t\t\tif n.nameID in exclude and n.platformID == 0 and n.langID != 0xFFFF\n\t\t\t]\n\t\t\tif set(excludedUnicodeLangIDs) == set(range(len((varfont['ltag'].tags)))):\n\t\t\t\tdel varfont['ltag']\n\t\tvarfont['name'].names[:] = [\n\t\t\tn for n in varfont['name'].names\n\t\t\tif n.nameID not in exclude\n\t\t]\n\n\tif \"wght\" in location and \"OS/2\" in varfont:\n\t\tvarfont[\"OS/2\"].usWeightClass = otRound(\n\t\t\tmax(1, min(location[\"wght\"], 1000))\n\t\t)\n\tif \"wdth\" in location:\n\t\twdth = location[\"wdth\"]\n\t\tfor percent, widthClass in sorted(OS2_WIDTH_CLASS_VALUES.items()):\n\t\t\tif wdth < percent:\n\t\t\t\tvarfont[\"OS/2\"].usWidthClass = widthClass\n\t\t\t\tbreak\n\t\telse:\n\t\t\tvarfont[\"OS/2\"].usWidthClass = 9\n\tif \"slnt\" in location and \"post\" in varfont:\n\t\tvarfont[\"post\"].italicAngle = max(-90, min(location[\"slnt\"], 90))\n\n\tlog.info(\"Removing variable tables\")\n\tfor tag in ('avar','cvar','fvar','gvar','HVAR','MVAR','VVAR','STAT'):\n\t\tif tag in varfont:\n\t\t\tdel varfont[tag]\n\n\treturn varfont\n\n\ndef main(args=None):\n\t\"\"\"Instantiate a variation font\"\"\"\n\tfrom fontTools import configLogger\n\timport argparse\n\n\tparser = argparse.ArgumentParser(\n\t\t\"fonttools varLib.mutator\", description=\"Instantiate a variable font\")\n\tparser.add_argument(\n\t\t\"input\", metavar=\"INPUT.ttf\", help=\"Input variable TTF file.\")\n\tparser.add_argument(\n\t\t\"locargs\", metavar=\"AXIS=LOC\", nargs=\"*\",\n\t\thelp=\"List of space separated locations. A location consist in \"\n\t\t\"the name of a variation axis, followed by '=' and a number. E.g.: \"\n\t\t\" wght=700 wdth=80. The default is the location of the base master.\")\n\tparser.add_argument(\n\t\t\"-o\", \"--output\", metavar=\"OUTPUT.ttf\", default=None,\n\t\thelp=\"Output instance TTF file (default: INPUT-instance.ttf).\")\n\tparser.add_argument(\n\t\t\"--no-recalc-timestamp\", dest=\"recalc_timestamp\", action='store_false',\n\t\thelp=\"Don't set the output font's timestamp to the current time.\")\n\tlogging_group = parser.add_mutually_exclusive_group(required=False)\n\tlogging_group.add_argument(\n\t\t\"-v\", \"--verbose\", action=\"store_true\", help=\"Run more verbosely.\")\n\tlogging_group.add_argument(\n\t\t\"-q\", \"--quiet\", action=\"store_true\", help=\"Turn verbosity off.\")\n\tparser.add_argument(\n\t\t\"--no-overlap\",\n\t\tdest=\"overlap\",\n\t\taction=\"store_false\",\n\t\thelp=\"Don't set OVERLAP_SIMPLE/OVERLAP_COMPOUND glyf flags.\"\n\t)\n\toptions = parser.parse_args(args)\n\n\tvarfilename = options.input\n\toutfile = (\n\t\tos.path.splitext(varfilename)[0] + '-instance.ttf'\n\t\tif not options.output else options.output)\n\tconfigLogger(level=(\n\t\t\"DEBUG\" if options.verbose else\n\t\t\"ERROR\" if options.quiet else\n\t\t\"INFO\"))\n\n\tloc = {}\n\tfor arg in options.locargs:\n\t\ttry:\n\t\t\ttag, val = arg.split('=')\n\t\t\tassert len(tag) <= 4\n\t\t\tloc[tag.ljust(4)] = float(val)\n\t\texcept (ValueError, AssertionError):\n\t\t\tparser.error(\"invalid location argument format: %r\" % arg)\n\tlog.info(\"Location: %s\", loc)\n\n\tlog.info(\"Loading variable font\")\n\tvarfont = TTFont(varfilename, recalcTimestamp=options.recalc_timestamp)\n\n\tinstantiateVariableFont(varfont, loc, inplace=True, overlap=options.overlap)\n\n\tlog.info(\"Saving instance font %s\", outfile)\n\tvarfont.save(outfile)\n\n\nif __name__ == \"__main__\":\n\timport sys\n\tif len(sys.argv) > 1:\n\t\tsys.exit(main())\n\timport doctest\n\tsys.exit(doctest.testmod().failed)\n", "path": "Lib/fontTools/varLib/mutator.py" } ]
[ { "content": "\"\"\"\nInstantiate a variation font. Run, eg:\n\n$ fonttools varLib.mutator ./NotoSansArabic-VF.ttf wght=140 wdth=85\n\"\"\"\nfrom fontTools.misc.fixedTools import floatToFixedToFloat, floatToFixed\nfrom fontTools.misc.roundTools import otRound\nfrom fontTools.pens.boundsPen import BoundsPen\nfrom fontTools.ttLib import TTFont, newTable\nfrom fontTools.ttLib.tables import ttProgram\nfrom fontTools.ttLib.tables._g_l_y_f import GlyphCoordinates, flagOverlapSimple, OVERLAP_COMPOUND\nfrom fontTools.varLib.models import (\n\tsupportScalar,\n\tnormalizeLocation,\n\tpiecewiseLinearMap,\n)\nfrom fontTools.varLib.merger import MutatorMerger\nfrom fontTools.varLib.varStore import VarStoreInstancer\nfrom fontTools.varLib.mvar import MVAR_ENTRIES\nfrom fontTools.varLib.iup import iup_delta\nimport fontTools.subset.cff\nimport os.path\nimport logging\nfrom io import BytesIO\n\n\nlog = logging.getLogger(\"fontTools.varlib.mutator\")\n\n# map 'wdth' axis (1..200) to OS/2.usWidthClass (1..9), rounding to closest\nOS2_WIDTH_CLASS_VALUES = {}\npercents = [50.0, 62.5, 75.0, 87.5, 100.0, 112.5, 125.0, 150.0, 200.0]\nfor i, (prev, curr) in enumerate(zip(percents[:-1], percents[1:]), start=1):\n\thalf = (prev + curr) / 2\n\tOS2_WIDTH_CLASS_VALUES[half] = i\n\n\ndef interpolate_cff2_PrivateDict(topDict, interpolateFromDeltas):\n\tpd_blend_lists = (\"BlueValues\", \"OtherBlues\", \"FamilyBlues\",\n\t\t\t\t\t\t\"FamilyOtherBlues\", \"StemSnapH\",\n\t\t\t\t\t\t\"StemSnapV\")\n\tpd_blend_values = (\"BlueScale\", \"BlueShift\",\n\t\t\t\t\t\t\"BlueFuzz\", \"StdHW\", \"StdVW\")\n\tfor fontDict in topDict.FDArray:\n\t\tpd = fontDict.Private\n\t\tvsindex = pd.vsindex if (hasattr(pd, 'vsindex')) else 0\n\t\tfor key, value in pd.rawDict.items():\n\t\t\tif (key in pd_blend_values) and isinstance(value, list):\n\t\t\t\t\tdelta = interpolateFromDeltas(vsindex, value[1:])\n\t\t\t\t\tpd.rawDict[key] = otRound(value[0] + delta)\n\t\t\telif (key in pd_blend_lists) and isinstance(value[0], list):\n\t\t\t\t\"\"\"If any argument in a BlueValues list is a blend list,\n\t\t\t\tthen they all are. The first value of each list is an\n\t\t\t\tabsolute value. The delta tuples are calculated from\n\t\t\t\trelative master values, hence we need to append all the\n\t\t\t\tdeltas to date to each successive absolute value.\"\"\"\n\t\t\t\tdelta = 0\n\t\t\t\tfor i, val_list in enumerate(value):\n\t\t\t\t\tdelta += otRound(interpolateFromDeltas(vsindex,\n\t\t\t\t\t\t\t\t\t\tval_list[1:]))\n\t\t\t\t\tvalue[i] = val_list[0] + delta\n\n\ndef interpolate_cff2_charstrings(topDict, interpolateFromDeltas, glyphOrder):\n\tcharstrings = topDict.CharStrings\n\tfor gname in glyphOrder:\n\t\t# Interpolate charstring\n\t\t# e.g replace blend op args with regular args,\n\t\t# and use and discard vsindex op.\n\t\tcharstring = charstrings[gname]\n\t\tnew_program = []\n\t\tvsindex = 0\n\t\tlast_i = 0\n\t\tfor i, token in enumerate(charstring.program):\n\t\t\tif token == 'vsindex':\n\t\t\t\tvsindex = charstring.program[i - 1]\n\t\t\t\tif last_i != 0:\n\t\t\t\t\tnew_program.extend(charstring.program[last_i:i - 1])\n\t\t\t\tlast_i = i + 1\n\t\t\telif token == 'blend':\n\t\t\t\tnum_regions = charstring.getNumRegions(vsindex)\n\t\t\t\tnumMasters = 1 + num_regions\n\t\t\t\tnum_args = charstring.program[i - 1]\n\t\t\t\t# The program list starting at program[i] is now:\n\t\t\t\t# ..args for following operations\n\t\t\t\t# num_args values from the default font\n\t\t\t\t# num_args tuples, each with numMasters-1 delta values\n\t\t\t\t# num_blend_args\n\t\t\t\t# 'blend'\n\t\t\t\targi = i - (num_args * numMasters + 1)\n\t\t\t\tend_args = tuplei = argi + num_args\n\t\t\t\twhile argi < end_args:\n\t\t\t\t\tnext_ti = tuplei + num_regions\n\t\t\t\t\tdeltas = charstring.program[tuplei:next_ti]\n\t\t\t\t\tdelta = interpolateFromDeltas(vsindex, deltas)\n\t\t\t\t\tcharstring.program[argi] += otRound(delta)\n\t\t\t\t\ttuplei = next_ti\n\t\t\t\t\targi += 1\n\t\t\t\tnew_program.extend(charstring.program[last_i:end_args])\n\t\t\t\tlast_i = i + 1\n\t\tif last_i != 0:\n\t\t\tnew_program.extend(charstring.program[last_i:])\n\t\t\tcharstring.program = new_program\n\n\ndef interpolate_cff2_metrics(varfont, topDict, glyphOrder, loc):\n\t\"\"\"Unlike TrueType glyphs, neither advance width nor bounding box\n\tinfo is stored in a CFF2 charstring. The width data exists only in\n\tthe hmtx and HVAR tables. Since LSB data cannot be interpolated\n\treliably from the master LSB values in the hmtx table, we traverse\n\tthe charstring to determine the actual bound box. \"\"\"\n\n\tcharstrings = topDict.CharStrings\n\tboundsPen = BoundsPen(glyphOrder)\n\thmtx = varfont['hmtx']\n\thvar_table = None\n\tif 'HVAR' in varfont:\n\t\thvar_table = varfont['HVAR'].table\n\t\tfvar = varfont['fvar']\n\t\tvarStoreInstancer = VarStoreInstancer(hvar_table.VarStore, fvar.axes, loc)\n\n\tfor gid, gname in enumerate(glyphOrder):\n\t\tentry = list(hmtx[gname])\n\t\t# get width delta.\n\t\tif hvar_table:\n\t\t\tif hvar_table.AdvWidthMap:\n\t\t\t\twidth_idx = hvar_table.AdvWidthMap.mapping[gname]\n\t\t\telse:\n\t\t\t\twidth_idx = gid\n\t\t\twidth_delta = otRound(varStoreInstancer[width_idx])\n\t\telse:\n\t\t\twidth_delta = 0\n\n\t\t# get LSB.\n\t\tboundsPen.init()\n\t\tcharstring = charstrings[gname]\n\t\tcharstring.draw(boundsPen)\n\t\tif boundsPen.bounds is None:\n\t\t\t# Happens with non-marking glyphs\n\t\t\tlsb_delta = 0\n\t\telse:\n\t\t\tlsb = otRound(boundsPen.bounds[0])\n\t\t\tlsb_delta = entry[1] - lsb\n\n\t\tif lsb_delta or width_delta:\n\t\t\tif width_delta:\n\t\t\t\tentry[0] = max(0, entry[0] + width_delta)\n\t\t\tif lsb_delta:\n\t\t\t\tentry[1] = lsb\n\t\t\thmtx[gname] = tuple(entry)\n\n\ndef instantiateVariableFont(varfont, location, inplace=False, overlap=True):\n\t\"\"\" Generate a static instance from a variable TTFont and a dictionary\n\tdefining the desired location along the variable font's axes.\n\tThe location values must be specified as user-space coordinates, e.g.:\n\n\t\t{'wght': 400, 'wdth': 100}\n\n\tBy default, a new TTFont object is returned. If ``inplace`` is True, the\n\tinput varfont is modified and reduced to a static font.\n\n\tWhen the overlap parameter is defined as True,\n\tOVERLAP_SIMPLE and OVERLAP_COMPOUND bits are set to 1. See\n\thttps://docs.microsoft.com/en-us/typography/opentype/spec/glyf\n\t\"\"\"\n\tif not inplace:\n\t\t# make a copy to leave input varfont unmodified\n\t\tstream = BytesIO()\n\t\tvarfont.save(stream)\n\t\tstream.seek(0)\n\t\tvarfont = TTFont(stream)\n\n\tfvar = varfont['fvar']\n\taxes = {a.axisTag:(a.minValue,a.defaultValue,a.maxValue) for a in fvar.axes}\n\tloc = normalizeLocation(location, axes)\n\tif 'avar' in varfont:\n\t\tmaps = varfont['avar'].segments\n\t\tloc = {k: piecewiseLinearMap(v, maps[k]) for k,v in loc.items()}\n\t# Quantize to F2Dot14, to avoid surprise interpolations.\n\tloc = {k:floatToFixedToFloat(v, 14) for k,v in loc.items()}\n\t# Location is normalized now\n\tlog.info(\"Normalized location: %s\", loc)\n\n\tif 'gvar' in varfont:\n\t\tlog.info(\"Mutating glyf/gvar tables\")\n\t\tgvar = varfont['gvar']\n\t\tglyf = varfont['glyf']\n\t\thMetrics = varfont['hmtx'].metrics\n\t\tvMetrics = getattr(varfont.get('vmtx'), 'metrics', None)\n\t\t# get list of glyph names in gvar sorted by component depth\n\t\tglyphnames = sorted(\n\t\t\tgvar.variations.keys(),\n\t\t\tkey=lambda name: (\n\t\t\t\tglyf[name].getCompositeMaxpValues(glyf).maxComponentDepth\n\t\t\t\tif glyf[name].isComposite() else 0,\n\t\t\t\tname))\n\t\tfor glyphname in glyphnames:\n\t\t\tvariations = gvar.variations[glyphname]\n\t\t\tcoordinates, _ = glyf._getCoordinatesAndControls(glyphname, hMetrics, vMetrics)\n\t\t\torigCoords, endPts = None, None\n\t\t\tfor var in variations:\n\t\t\t\tscalar = supportScalar(loc, var.axes)\n\t\t\t\tif not scalar: continue\n\t\t\t\tdelta = var.coordinates\n\t\t\t\tif None in delta:\n\t\t\t\t\tif origCoords is None:\n\t\t\t\t\t\torigCoords, g = glyf._getCoordinatesAndControls(glyphname, hMetrics, vMetrics)\n\t\t\t\t\tdelta = iup_delta(delta, origCoords, g.endPts)\n\t\t\t\tcoordinates += GlyphCoordinates(delta) * scalar\n\t\t\tglyf._setCoordinates(glyphname, coordinates, hMetrics, vMetrics)\n\telse:\n\t\tglyf = None\n\n\tif 'cvar' in varfont:\n\t\tlog.info(\"Mutating cvt/cvar tables\")\n\t\tcvar = varfont['cvar']\n\t\tcvt = varfont['cvt ']\n\t\tdeltas = {}\n\t\tfor var in cvar.variations:\n\t\t\tscalar = supportScalar(loc, var.axes)\n\t\t\tif not scalar: continue\n\t\t\tfor i, c in enumerate(var.coordinates):\n\t\t\t\tif c is not None:\n\t\t\t\t\tdeltas[i] = deltas.get(i, 0) + scalar * c\n\t\tfor i, delta in deltas.items():\n\t\t\tcvt[i] += otRound(delta)\n\n\tif 'CFF2' in varfont:\n\t\tlog.info(\"Mutating CFF2 table\")\n\t\tglyphOrder = varfont.getGlyphOrder()\n\t\tCFF2 = varfont['CFF2']\n\t\ttopDict = CFF2.cff.topDictIndex[0]\n\t\tvsInstancer = VarStoreInstancer(topDict.VarStore.otVarStore, fvar.axes, loc)\n\t\tinterpolateFromDeltas = vsInstancer.interpolateFromDeltas\n\t\tinterpolate_cff2_PrivateDict(topDict, interpolateFromDeltas)\n\t\tCFF2.desubroutinize()\n\t\tinterpolate_cff2_charstrings(topDict, interpolateFromDeltas, glyphOrder)\n\t\tinterpolate_cff2_metrics(varfont, topDict, glyphOrder, loc)\n\t\tdel topDict.rawDict['VarStore']\n\t\tdel topDict.VarStore\n\n\tif 'MVAR' in varfont:\n\t\tlog.info(\"Mutating MVAR table\")\n\t\tmvar = varfont['MVAR'].table\n\t\tvarStoreInstancer = VarStoreInstancer(mvar.VarStore, fvar.axes, loc)\n\t\trecords = mvar.ValueRecord\n\t\tfor rec in records:\n\t\t\tmvarTag = rec.ValueTag\n\t\t\tif mvarTag not in MVAR_ENTRIES:\n\t\t\t\tcontinue\n\t\t\ttableTag, itemName = MVAR_ENTRIES[mvarTag]\n\t\t\tdelta = otRound(varStoreInstancer[rec.VarIdx])\n\t\t\tif not delta:\n\t\t\t\tcontinue\n\t\t\tsetattr(varfont[tableTag], itemName,\n\t\t\t\tgetattr(varfont[tableTag], itemName) + delta)\n\n\tlog.info(\"Mutating FeatureVariations\")\n\tfor tableTag in 'GSUB','GPOS':\n\t\tif not tableTag in varfont:\n\t\t\tcontinue\n\t\ttable = varfont[tableTag].table\n\t\tif not getattr(table, 'FeatureVariations', None):\n\t\t\tcontinue\n\t\tvariations = table.FeatureVariations\n\t\tfor record in variations.FeatureVariationRecord:\n\t\t\tapplies = True\n\t\t\tfor condition in record.ConditionSet.ConditionTable:\n\t\t\t\tif condition.Format == 1:\n\t\t\t\t\taxisIdx = condition.AxisIndex\n\t\t\t\t\taxisTag = fvar.axes[axisIdx].axisTag\n\t\t\t\t\tMin = condition.FilterRangeMinValue\n\t\t\t\t\tMax = condition.FilterRangeMaxValue\n\t\t\t\t\tv = loc[axisTag]\n\t\t\t\t\tif not (Min <= v <= Max):\n\t\t\t\t\t\tapplies = False\n\t\t\t\telse:\n\t\t\t\t\tapplies = False\n\t\t\t\tif not applies:\n\t\t\t\t\tbreak\n\n\t\t\tif applies:\n\t\t\t\tassert record.FeatureTableSubstitution.Version == 0x00010000\n\t\t\t\tfor rec in record.FeatureTableSubstitution.SubstitutionRecord:\n\t\t\t\t\ttable.FeatureList.FeatureRecord[rec.FeatureIndex].Feature = rec.Feature\n\t\t\t\tbreak\n\t\tdel table.FeatureVariations\n\n\tif 'GDEF' in varfont and varfont['GDEF'].table.Version >= 0x00010003:\n\t\tlog.info(\"Mutating GDEF/GPOS/GSUB tables\")\n\t\tgdef = varfont['GDEF'].table\n\t\tinstancer = VarStoreInstancer(gdef.VarStore, fvar.axes, loc)\n\n\t\tmerger = MutatorMerger(varfont, instancer)\n\t\tmerger.mergeTables(varfont, [varfont], ['GDEF', 'GPOS'])\n\n\t\t# Downgrade GDEF.\n\t\tdel gdef.VarStore\n\t\tgdef.Version = 0x00010002\n\t\tif gdef.MarkGlyphSetsDef is None:\n\t\t\tdel gdef.MarkGlyphSetsDef\n\t\t\tgdef.Version = 0x00010000\n\n\t\tif not (gdef.LigCaretList or\n\t\t\tgdef.MarkAttachClassDef or\n\t\t\tgdef.GlyphClassDef or\n\t\t\tgdef.AttachList or\n\t\t\t(gdef.Version >= 0x00010002 and gdef.MarkGlyphSetsDef)):\n\t\t\tdel varfont['GDEF']\n\n\taddidef = False\n\tif glyf:\n\t\tfor glyph in glyf.glyphs.values():\n\t\t\tif hasattr(glyph, \"program\"):\n\t\t\t\tinstructions = glyph.program.getAssembly()\n\t\t\t\t# If GETVARIATION opcode is used in bytecode of any glyph add IDEF\n\t\t\t\taddidef = any(op.startswith(\"GETVARIATION\") for op in instructions)\n\t\t\t\tif addidef:\n\t\t\t\t\tbreak\n\t\tif overlap:\n\t\t\tfor glyph_name in glyf.keys():\n\t\t\t\tglyph = glyf[glyph_name]\n\t\t\t\t# Set OVERLAP_COMPOUND bit for compound glyphs\n\t\t\t\tif glyph.isComposite():\n\t\t\t\t\tglyph.components[0].flags |= OVERLAP_COMPOUND\n\t\t\t\t# Set OVERLAP_SIMPLE bit for simple glyphs\n\t\t\t\telif glyph.numberOfContours > 0:\n\t\t\t\t\tglyph.flags[0] |= flagOverlapSimple\n\tif addidef:\n\t\tlog.info(\"Adding IDEF to fpgm table for GETVARIATION opcode\")\n\t\tasm = []\n\t\tif 'fpgm' in varfont:\n\t\t\tfpgm = varfont['fpgm']\n\t\t\tasm = fpgm.program.getAssembly()\n\t\telse:\n\t\t\tfpgm = newTable('fpgm')\n\t\t\tfpgm.program = ttProgram.Program()\n\t\t\tvarfont['fpgm'] = fpgm\n\t\tasm.append(\"PUSHB[000] 145\")\n\t\tasm.append(\"IDEF[ ]\")\n\t\targs = [str(len(loc))]\n\t\tfor a in fvar.axes:\n\t\t\targs.append(str(floatToFixed(loc[a.axisTag], 14)))\n\t\tasm.append(\"NPUSHW[ ] \" + ' '.join(args))\n\t\tasm.append(\"ENDF[ ]\")\n\t\tfpgm.program.fromAssembly(asm)\n\n\t\t# Change maxp attributes as IDEF is added\n\t\tif 'maxp' in varfont:\n\t\t\tmaxp = varfont['maxp']\n\t\t\tsetattr(maxp, \"maxInstructionDefs\", 1 + getattr(maxp, \"maxInstructionDefs\", 0))\n\t\t\tsetattr(maxp, \"maxStackElements\", max(len(loc), getattr(maxp, \"maxStackElements\", 0)))\n\n\tif 'name' in varfont:\n\t\tlog.info(\"Pruning name table\")\n\t\texclude = {a.axisNameID for a in fvar.axes}\n\t\tfor i in fvar.instances:\n\t\t\texclude.add(i.subfamilyNameID)\n\t\t\texclude.add(i.postscriptNameID)\n\t\tif 'ltag' in varfont:\n\t\t\t# Drop the whole 'ltag' table if all its language tags are referenced by\n\t\t\t# name records to be pruned.\n\t\t\t# TODO: prune unused ltag tags and re-enumerate langIDs accordingly\n\t\t\texcludedUnicodeLangIDs = [\n\t\t\t\tn.langID for n in varfont['name'].names\n\t\t\t\tif n.nameID in exclude and n.platformID == 0 and n.langID != 0xFFFF\n\t\t\t]\n\t\t\tif set(excludedUnicodeLangIDs) == set(range(len((varfont['ltag'].tags)))):\n\t\t\t\tdel varfont['ltag']\n\t\tvarfont['name'].names[:] = [\n\t\t\tn for n in varfont['name'].names\n\t\t\tif n.nameID not in exclude\n\t\t]\n\n\tif \"wght\" in location and \"OS/2\" in varfont:\n\t\tvarfont[\"OS/2\"].usWeightClass = otRound(\n\t\t\tmax(1, min(location[\"wght\"], 1000))\n\t\t)\n\tif \"wdth\" in location:\n\t\twdth = location[\"wdth\"]\n\t\tfor percent, widthClass in sorted(OS2_WIDTH_CLASS_VALUES.items()):\n\t\t\tif wdth < percent:\n\t\t\t\tvarfont[\"OS/2\"].usWidthClass = widthClass\n\t\t\t\tbreak\n\t\telse:\n\t\t\tvarfont[\"OS/2\"].usWidthClass = 9\n\tif \"slnt\" in location and \"post\" in varfont:\n\t\tvarfont[\"post\"].italicAngle = max(-90, min(location[\"slnt\"], 90))\n\n\tlog.info(\"Removing variable tables\")\n\tfor tag in ('avar','cvar','fvar','gvar','HVAR','MVAR','VVAR','STAT'):\n\t\tif tag in varfont:\n\t\t\tdel varfont[tag]\n\n\treturn varfont\n\n\ndef main(args=None):\n\t\"\"\"Instantiate a variation font\"\"\"\n\tfrom fontTools import configLogger\n\timport argparse\n\n\tparser = argparse.ArgumentParser(\n\t\t\"fonttools varLib.mutator\", description=\"Instantiate a variable font\")\n\tparser.add_argument(\n\t\t\"input\", metavar=\"INPUT.ttf\", help=\"Input variable TTF file.\")\n\tparser.add_argument(\n\t\t\"locargs\", metavar=\"AXIS=LOC\", nargs=\"*\",\n\t\thelp=\"List of space separated locations. A location consist in \"\n\t\t\"the name of a variation axis, followed by '=' and a number. E.g.: \"\n\t\t\" wght=700 wdth=80. The default is the location of the base master.\")\n\tparser.add_argument(\n\t\t\"-o\", \"--output\", metavar=\"OUTPUT.ttf\", default=None,\n\t\thelp=\"Output instance TTF file (default: INPUT-instance.ttf).\")\n\tparser.add_argument(\n\t\t\"--no-recalc-timestamp\", dest=\"recalc_timestamp\", action='store_false',\n\t\thelp=\"Don't set the output font's timestamp to the current time.\")\n\tlogging_group = parser.add_mutually_exclusive_group(required=False)\n\tlogging_group.add_argument(\n\t\t\"-v\", \"--verbose\", action=\"store_true\", help=\"Run more verbosely.\")\n\tlogging_group.add_argument(\n\t\t\"-q\", \"--quiet\", action=\"store_true\", help=\"Turn verbosity off.\")\n\tparser.add_argument(\n\t\t\"--no-overlap\",\n\t\tdest=\"overlap\",\n\t\taction=\"store_false\",\n\t\thelp=\"Don't set OVERLAP_SIMPLE/OVERLAP_COMPOUND glyf flags.\"\n\t)\n\toptions = parser.parse_args(args)\n\n\tvarfilename = options.input\n\toutfile = (\n\t\tos.path.splitext(varfilename)[0] + '-instance.ttf'\n\t\tif not options.output else options.output)\n\tconfigLogger(level=(\n\t\t\"DEBUG\" if options.verbose else\n\t\t\"ERROR\" if options.quiet else\n\t\t\"INFO\"))\n\n\tloc = {}\n\tfor arg in options.locargs:\n\t\ttry:\n\t\t\ttag, val = arg.split('=')\n\t\t\tassert len(tag) <= 4\n\t\t\tloc[tag.ljust(4)] = float(val)\n\t\texcept (ValueError, AssertionError):\n\t\t\tparser.error(\"invalid location argument format: %r\" % arg)\n\tlog.info(\"Location: %s\", loc)\n\n\tlog.info(\"Loading variable font\")\n\tvarfont = TTFont(varfilename, recalcTimestamp=options.recalc_timestamp)\n\n\tinstantiateVariableFont(varfont, loc, inplace=True, overlap=options.overlap)\n\n\tlog.info(\"Saving instance font %s\", outfile)\n\tvarfont.save(outfile)\n\n\nif __name__ == \"__main__\":\n\timport sys\n\tif len(sys.argv) > 1:\n\t\tsys.exit(main())\n\timport doctest\n\tsys.exit(doctest.testmod().failed)\n", "path": "Lib/fontTools/varLib/mutator.py" } ]
diff --git a/Lib/fontTools/varLib/mutator.py b/Lib/fontTools/varLib/mutator.py index 2e674798e0..58a3272f46 100644 --- a/Lib/fontTools/varLib/mutator.py +++ b/Lib/fontTools/varLib/mutator.py @@ -143,7 +143,7 @@ def interpolate_cff2_metrics(varfont, topDict, glyphOrder, loc): if lsb_delta or width_delta: if width_delta: - entry[0] += width_delta + entry[0] = max(0, entry[0] + width_delta) if lsb_delta: entry[1] = lsb hmtx[gname] = tuple(entry)
Calling instantiateVariableFont can lead to negative advance widths in hmtx Hi! Calling `instantiateVariableFont` can introduce negative advance widths in the `hmtx` table: https://github.com/fonttools/fonttools/blob/796c1f13303f0af515166e95bff1191f8d4e7f16/Lib/fontTools/varLib/mutator.py#L121-L149 We could probably replace line 146 by `entry[0] = max(0, entry[0] + width_delta)`. I can open a PR if you want. (Carefully crafted fonts shouldn’t trigger this problem, but I’ve got it using a subset font where advance of unused glyphes has been set to 0.)
keras-team__autokeras-1367
[ { "content": "# Copyright 2020 The AutoKeras Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport numpy as np\nimport tensorflow as tf\n\nfrom autokeras.engine import preprocessor\n\n\nclass Encoder(preprocessor.TargetPreprocessor):\n \"\"\"Transform labels to encodings.\n\n # Arguments\n labels: A list of labels of any type. The labels to be encoded.\n \"\"\"\n\n def __init__(self, labels, **kwargs):\n super().__init__(**kwargs)\n self.labels = [\n label.decode(\"utf-8\") if isinstance(label, bytes) else str(label)\n for label in labels\n ]\n\n def get_config(self):\n return {\"labels\": self.labels}\n\n def fit(self, dataset):\n return\n\n def transform(self, dataset):\n \"\"\"Transform labels to integer encodings.\n\n # Arguments\n dataset: tf.data.Dataset. The dataset to be transformed.\n\n # Returns\n tf.data.Dataset. The transformed dataset.\n \"\"\"\n keys_tensor = tf.constant(self.labels)\n vals_tensor = tf.constant(list(range(len(self.labels))))\n table = tf.lookup.StaticHashTable(\n tf.lookup.KeyValueTensorInitializer(keys_tensor, vals_tensor), -1\n )\n\n return dataset.map(lambda x: table.lookup(tf.reshape(x, [-1])))\n\n\nclass OneHotEncoder(Encoder):\n def transform(self, dataset):\n \"\"\"Transform labels to one-hot encodings.\n\n # Arguments\n dataset: tf.data.Dataset. The dataset to be transformed.\n\n # Returns\n tf.data.Dataset. The transformed dataset.\n \"\"\"\n dataset = super().transform(dataset)\n eye = tf.eye(len(self.labels))\n dataset = dataset.map(lambda x: tf.nn.embedding_lookup(eye, x))\n return dataset\n\n def postprocess(self, data):\n \"\"\"Transform probabilities back to labels.\n\n # Arguments\n data: numpy.ndarray. The output probabilities of the classification head.\n\n # Returns\n numpy.ndarray. The original labels.\n \"\"\"\n return np.array(\n list(\n map(\n lambda x: self.labels[x],\n np.argmax(np.array(data), axis=1),\n )\n )\n ).reshape(-1, 1)\n\n\nclass LabelEncoder(Encoder):\n \"\"\"Transform the labels to integer encodings.\"\"\"\n\n def transform(self, dataset):\n \"\"\"Transform labels to integer encodings.\n\n # Arguments\n dataset: tf.data.Dataset. The dataset to be transformed.\n\n # Returns\n tf.data.Dataset. The transformed dataset.\n \"\"\"\n dataset = super().transform(dataset)\n dataset = dataset.map(lambda x: tf.expand_dims(x, axis=-1))\n return dataset\n\n def postprocess(self, data):\n \"\"\"Transform probabilities back to labels.\n\n # Arguments\n data: numpy.ndarray. The output probabilities of the classification head.\n\n # Returns\n numpy.ndarray. The original labels.\n \"\"\"\n return np.array(\n list(map(lambda x: self.labels[int(round(x[0]))], np.array(data)))\n ).reshape(-1, 1)\n\n\nclass MultiLabelEncoder(Encoder):\n \"\"\"Encoder for multi-label data.\"\"\"\n\n def __init__(self, **kwargs):\n super().__init__(labels=[], **kwargs)\n\n def transform(self, dataset):\n return dataset\n\n def postprocess(self, data):\n \"\"\"Transform probabilities to zeros and ones.\n\n # Arguments\n data: numpy.ndarray. The output probabilities of the classification head.\n\n # Returns\n numpy.ndarray. The zeros and ones predictions.\n \"\"\"\n data[data < 0.5] = 0\n data[data > 0.5] = 1\n return data\n", "path": "autokeras/preprocessors/encoders.py" } ]
[ { "content": "# Copyright 2020 The AutoKeras Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\nimport numpy as np\nimport tensorflow as tf\n\nfrom autokeras.engine import preprocessor\n\n\nclass Encoder(preprocessor.TargetPreprocessor):\n \"\"\"Transform labels to encodings.\n\n # Arguments\n labels: A list of labels of any type. The labels to be encoded.\n \"\"\"\n\n def __init__(self, labels, **kwargs):\n super().__init__(**kwargs)\n self.labels = [\n label.decode(\"utf-8\") if isinstance(label, bytes) else str(label)\n for label in labels\n ]\n\n def get_config(self):\n return {\"labels\": self.labels}\n\n def fit(self, dataset):\n return\n\n def transform(self, dataset):\n \"\"\"Transform labels to integer encodings.\n\n # Arguments\n dataset: tf.data.Dataset. The dataset to be transformed.\n\n # Returns\n tf.data.Dataset. The transformed dataset.\n \"\"\"\n keys_tensor = tf.constant(self.labels)\n vals_tensor = tf.constant(list(range(len(self.labels))))\n table = tf.lookup.StaticHashTable(\n tf.lookup.KeyValueTensorInitializer(keys_tensor, vals_tensor), -1\n )\n\n return dataset.map(lambda x: table.lookup(tf.reshape(x, [-1])))\n\n\nclass OneHotEncoder(Encoder):\n def transform(self, dataset):\n \"\"\"Transform labels to one-hot encodings.\n\n # Arguments\n dataset: tf.data.Dataset. The dataset to be transformed.\n\n # Returns\n tf.data.Dataset. The transformed dataset.\n \"\"\"\n dataset = super().transform(dataset)\n eye = tf.eye(len(self.labels))\n dataset = dataset.map(lambda x: tf.nn.embedding_lookup(eye, x))\n return dataset\n\n def postprocess(self, data):\n \"\"\"Transform probabilities back to labels.\n\n # Arguments\n data: numpy.ndarray. The output probabilities of the classification head.\n\n # Returns\n numpy.ndarray. The original labels.\n \"\"\"\n return np.array(\n list(\n map(\n lambda x: self.labels[x],\n np.argmax(np.array(data), axis=1),\n )\n )\n ).reshape(-1, 1)\n\n\nclass LabelEncoder(Encoder):\n \"\"\"Transform the labels to integer encodings.\"\"\"\n\n def transform(self, dataset):\n \"\"\"Transform labels to integer encodings.\n\n # Arguments\n dataset: tf.data.Dataset. The dataset to be transformed.\n\n # Returns\n tf.data.Dataset. The transformed dataset.\n \"\"\"\n dataset = super().transform(dataset)\n dataset = dataset.map(lambda x: tf.expand_dims(x, axis=-1))\n return dataset\n\n def postprocess(self, data):\n \"\"\"Transform probabilities back to labels.\n\n # Arguments\n data: numpy.ndarray. The output probabilities of the classification head.\n\n # Returns\n numpy.ndarray. The original labels.\n \"\"\"\n return np.array(\n list(map(lambda x: self.labels[int(round(x[0]))], np.array(data)))\n ).reshape(-1, 1)\n\n\nclass MultiLabelEncoder(Encoder):\n \"\"\"Encoder for multi-label data.\"\"\"\n\n def __init__(self, **kwargs):\n kwargs.pop(\"labels\", None)\n super().__init__(labels=[], **kwargs)\n\n def transform(self, dataset):\n return dataset\n\n def postprocess(self, data):\n \"\"\"Transform probabilities to zeros and ones.\n\n # Arguments\n data: numpy.ndarray. The output probabilities of the classification head.\n\n # Returns\n numpy.ndarray. The zeros and ones predictions.\n \"\"\"\n data[data < 0.5] = 0\n data[data > 0.5] = 1\n return data\n", "path": "autokeras/preprocessors/encoders.py" } ]
diff --git a/autokeras/preprocessors/encoders.py b/autokeras/preprocessors/encoders.py index 9909094e5..5809159c3 100644 --- a/autokeras/preprocessors/encoders.py +++ b/autokeras/preprocessors/encoders.py @@ -124,6 +124,7 @@ class MultiLabelEncoder(Encoder): """Encoder for multi-label data.""" def __init__(self, **kwargs): + kwargs.pop("labels", None) super().__init__(labels=[], **kwargs) def transform(self, dataset):
Exception in multi label classification with StructuredDataClassifier ### Bug Description Multi label classification throws the following error when using `StructuredDataClassifier`: ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-23-e7c45e9f8b2f> in <module> ----> 1 clf.predict(X) /opt/conda/lib/python3.7/site-packages/autokeras/tasks/structured_data.py in predict(self, x, batch_size, **kwargs) 156 x = self.read_for_predict(x) 157 --> 158 return super().predict(x=x, batch_size=batch_size, **kwargs) 159 160 def evaluate(self, x, y=None, batch_size=32, **kwargs): /opt/conda/lib/python3.7/site-packages/autokeras/auto_model.py in predict(self, x, **kwargs) 421 self._check_data_format((x, None), predict=True) 422 dataset = self._adapt(x, self.inputs) --> 423 pipeline = self.tuner.get_best_pipeline() 424 model = self.tuner.get_best_model() 425 dataset = pipeline.transform_x(dataset) /opt/conda/lib/python3.7/site-packages/autokeras/engine/tuner.py in get_best_pipeline(self) 65 66 def get_best_pipeline(self): ---> 67 return pipeline_module.load_pipeline(self.best_pipeline_path) 68 69 def _pipeline_path(self, trial_id): /opt/conda/lib/python3.7/site-packages/autokeras/pipeline.py in load_pipeline(filepath, custom_objects) 73 custom_objects = {} 74 with tf.keras.utils.custom_object_scope(custom_objects): ---> 75 return Pipeline.from_config(utils.load_json(filepath)) 76 77 /opt/conda/lib/python3.7/site-packages/autokeras/pipeline.py in from_config(cls, config) 180 for preprocessor in preprocessors 181 ] --> 182 for preprocessors in config["outputs"] 183 ], 184 ) /opt/conda/lib/python3.7/site-packages/autokeras/pipeline.py in <listcomp>(.0) 180 for preprocessor in preprocessors 181 ] --> 182 for preprocessors in config["outputs"] 183 ], 184 ) /opt/conda/lib/python3.7/site-packages/autokeras/pipeline.py in <listcomp>(.0) 178 [ 179 preprocessors_module.deserialize(preprocessor) --> 180 for preprocessor in preprocessors 181 ] 182 for preprocessors in config["outputs"] /opt/conda/lib/python3.7/site-packages/autokeras/preprocessors/__init__.py in deserialize(config, custom_objects) 33 module_objects=globals(), 34 custom_objects=custom_objects, ---> 35 printable_module_name="preprocessors", 36 ) /opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name) 358 list(custom_objects.items()))) 359 with CustomObjectScope(custom_objects): --> 360 return cls.from_config(cls_config) 361 else: 362 # Then `cls` may be a function returning a class. /opt/conda/lib/python3.7/site-packages/autokeras/engine/serializable.py in from_config(cls, config) 32 config: Dict. The config of the object. 33 """ ---> 34 return cls(**config) /opt/conda/lib/python3.7/site-packages/autokeras/preprocessors/encoders.py in __init__(self, **kwargs) 125 126 def __init__(self, **kwargs): --> 127 super().__init__(labels=[], **kwargs) 128 129 def transform(self, dataset): TypeError: __init__() got multiple values for keyword argument 'labels' ``` ### Bug Reproduction Code for reproducing the bug: ``` from sklearn.datasets import make_multilabel_classification import autokeras as ak X, y = make_multilabel_classification(n_samples=1000, n_features=20, n_classes=2, n_labels=5) clf = ak.StructuredDataClassifier( overwrite=True, max_trials=3, multi_label=True, objective='val_loss', loss='binary_crossentropy' ) clf.fit(X, y, epochs=3) clf.predict(X) ``` ### Expected Behavior This should not throw an error, but return the predictions of the multi label classification ### Setup Details Include the details about the versions of: - OS type and version: Ubuntu 18.04.4 - Python: 3.7.6 - autokeras: 1.0.9 - keras-tuner: 1.0.2rc2 - scikit-learn: 0.23.2 - numpy: 1.18.5 - pandas: 1.1.2 - tensorflow: 2.3.0
WeblateOrg__weblate-9567
[ { "content": "# Copyright © Michal Čihař <[email protected]>\n#\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom __future__ import annotations\n\nfrom datetime import timedelta\n\nfrom django.conf import settings\nfrom django.utils import timezone\n\nfrom .base import MachineTranslation, MachineTranslationError\nfrom .forms import MicrosoftMachineryForm\n\nTOKEN_URL = \"https://{0}{1}/sts/v1.0/issueToken?Subscription-Key={2}\"\nTOKEN_EXPIRY = timedelta(minutes=9)\n\n\nclass MicrosoftCognitiveTranslation(MachineTranslation):\n \"\"\"Microsoft Cognitive Services Translator API support.\"\"\"\n\n name = \"Microsoft Translator\"\n max_score = 90\n settings_form = MicrosoftMachineryForm\n\n language_map = {\n \"zh-hant\": \"zh-Hant\",\n \"zh-hans\": \"zh-Hans\",\n \"zh-tw\": \"zh-Hant\",\n \"zh-cn\": \"zh-Hans\",\n \"tlh\": \"tlh-Latn\",\n \"tlh-qaak\": \"tlh-Piqd\",\n \"nb\": \"no\",\n \"bs-latn\": \"bs-Latn\",\n \"sr-latn\": \"sr-Latn\",\n \"sr-cyrl\": \"sr-Cyrl\",\n \"mn\": \"mn-Mong\",\n }\n\n def __init__(self, settings: dict[str, str]):\n \"\"\"Check configuration.\"\"\"\n super().__init__(settings)\n self._access_token = None\n self._token_expiry = None\n\n # check settings for Microsoft region prefix\n region = \"\" if not self.settings[\"region\"] else f\"{self.settings['region']}.\"\n\n self._cognitive_token_url = TOKEN_URL.format(\n region,\n self.settings[\"endpoint_url\"],\n self.settings[\"key\"],\n )\n\n @staticmethod\n def migrate_settings():\n return {\n \"region\": settings.MT_MICROSOFT_REGION,\n \"endpoint_url\": settings.MT_MICROSOFT_ENDPOINT_URL,\n \"base_url\": settings.MT_MICROSOFT_BASE_URL,\n \"key\": settings.MT_MICROSOFT_COGNITIVE_KEY,\n }\n\n def get_url(self, suffix):\n return f\"https://{self.settings['base_url']}/{suffix}\"\n\n def is_token_expired(self):\n \"\"\"Check whether token is about to expire.\"\"\"\n return self._token_expiry <= timezone.now()\n\n def get_authentication(self):\n \"\"\"Hook for backends to allow add authentication headers to request.\"\"\"\n return {\"Authorization\": f\"Bearer {self.access_token}\"}\n\n @property\n def access_token(self):\n \"\"\"Obtain and caches access token.\"\"\"\n if self._access_token is None or self.is_token_expired():\n self._access_token = self.request(\n \"post\", self._cognitive_token_url, skip_auth=True\n ).text\n self._token_expiry = timezone.now() + TOKEN_EXPIRY\n\n return self._access_token\n\n def map_language_code(self, code):\n \"\"\"Convert language to service specific code.\"\"\"\n return super().map_language_code(code).replace(\"_\", \"-\")\n\n def download_languages(self):\n \"\"\"\n Download list of supported languages from a service.\n\n Example of the response:\n\n ['af', 'ar', 'bs-Latn', 'bg', 'ca', 'zh-CHS', 'zh-CHT', 'yue', 'hr', 'cs', 'da',\n 'nl', 'en', 'et', 'fj', 'fil', 'fi', 'fr', 'de', 'el', 'ht', 'he', 'hi', 'mww',\n 'h', 'id', 'it', 'ja', 'sw', 'tlh', 'tlh-Qaak', 'ko', 'lv', 'lt', 'mg', 'ms',\n 'mt', 'yua', 'no', 'otq', 'fa', 'pl', 'pt', 'ro', 'r', 'sm', 'sr-Cyrl',\n 'sr-Latn', 'sk', 'sl', 'es', 'sv', 'ty', 'th', 'to', 'tr', 'uk', 'ur', 'vi',\n 'cy']\n \"\"\"\n response = self.request(\n \"get\", self.get_url(\"languages\"), params={\"api-version\": \"3.0\"}\n )\n # Microsoft tends to use utf-8-sig instead of plain utf-8\n response.encoding = response.apparent_encoding\n payload = response.json()\n\n # We should get an object, string usually means an error\n if isinstance(payload, str):\n raise MachineTranslationError(payload)\n\n return payload[\"translation\"].keys()\n\n def download_translations(\n self,\n source,\n language,\n text: str,\n unit,\n user,\n threshold: int = 75,\n ):\n \"\"\"Download list of possible translations from a service.\"\"\"\n args = {\n \"api-version\": \"3.0\",\n \"from\": source,\n \"to\": language,\n \"category\": \"general\",\n }\n response = self.request(\n \"post\", self.get_url(\"translate\"), params=args, json=[{\"Text\": text[:5000]}]\n )\n # Microsoft tends to use utf-8-sig instead of plain utf-8\n response.encoding = \"utf-8-sig\"\n payload = response.json()\n yield {\n \"text\": payload[0][\"translations\"][0][\"text\"],\n \"quality\": self.max_score,\n \"service\": self.name,\n \"source\": text,\n }\n", "path": "weblate/machinery/microsoft.py" } ]
[ { "content": "# Copyright © Michal Čihař <[email protected]>\n#\n# SPDX-License-Identifier: GPL-3.0-or-later\n\nfrom __future__ import annotations\n\nfrom datetime import timedelta\n\nfrom django.conf import settings\nfrom django.utils import timezone\n\nfrom .base import MachineTranslation, MachineTranslationError\nfrom .forms import MicrosoftMachineryForm\n\nTOKEN_URL = \"https://{0}{1}/sts/v1.0/issueToken?Subscription-Key={2}\"\nTOKEN_EXPIRY = timedelta(minutes=9)\n\n\nclass MicrosoftCognitiveTranslation(MachineTranslation):\n \"\"\"Microsoft Cognitive Services Translator API support.\"\"\"\n\n name = \"Microsoft Translator\"\n max_score = 90\n settings_form = MicrosoftMachineryForm\n\n language_map = {\n \"zh-hant\": \"zh-Hant\",\n \"zh-hans\": \"zh-Hans\",\n \"zh-tw\": \"zh-Hant\",\n \"zh-cn\": \"zh-Hans\",\n \"tlh\": \"tlh-Latn\",\n \"tlh-qaak\": \"tlh-Piqd\",\n \"nb\": \"no\",\n \"bs-latn\": \"bs-Latn\",\n \"sr\": \"sr-Latn\",\n \"sr-latn\": \"sr-Latn\",\n \"sr-cyrl\": \"sr-Cyrl\",\n \"mn\": \"mn-Mong\",\n }\n\n def __init__(self, settings: dict[str, str]):\n \"\"\"Check configuration.\"\"\"\n super().__init__(settings)\n self._access_token = None\n self._token_expiry = None\n\n # check settings for Microsoft region prefix\n region = \"\" if not self.settings[\"region\"] else f\"{self.settings['region']}.\"\n\n self._cognitive_token_url = TOKEN_URL.format(\n region,\n self.settings[\"endpoint_url\"],\n self.settings[\"key\"],\n )\n\n @staticmethod\n def migrate_settings():\n return {\n \"region\": settings.MT_MICROSOFT_REGION,\n \"endpoint_url\": settings.MT_MICROSOFT_ENDPOINT_URL,\n \"base_url\": settings.MT_MICROSOFT_BASE_URL,\n \"key\": settings.MT_MICROSOFT_COGNITIVE_KEY,\n }\n\n def get_url(self, suffix):\n return f\"https://{self.settings['base_url']}/{suffix}\"\n\n def is_token_expired(self):\n \"\"\"Check whether token is about to expire.\"\"\"\n return self._token_expiry <= timezone.now()\n\n def get_authentication(self):\n \"\"\"Hook for backends to allow add authentication headers to request.\"\"\"\n return {\"Authorization\": f\"Bearer {self.access_token}\"}\n\n @property\n def access_token(self):\n \"\"\"Obtain and caches access token.\"\"\"\n if self._access_token is None or self.is_token_expired():\n self._access_token = self.request(\n \"post\", self._cognitive_token_url, skip_auth=True\n ).text\n self._token_expiry = timezone.now() + TOKEN_EXPIRY\n\n return self._access_token\n\n def map_language_code(self, code):\n \"\"\"Convert language to service specific code.\"\"\"\n return super().map_language_code(code).replace(\"_\", \"-\")\n\n def download_languages(self):\n \"\"\"\n Download list of supported languages from a service.\n\n Example of the response:\n\n ['af', 'ar', 'bs-Latn', 'bg', 'ca', 'zh-CHS', 'zh-CHT', 'yue', 'hr', 'cs', 'da',\n 'nl', 'en', 'et', 'fj', 'fil', 'fi', 'fr', 'de', 'el', 'ht', 'he', 'hi', 'mww',\n 'h', 'id', 'it', 'ja', 'sw', 'tlh', 'tlh-Qaak', 'ko', 'lv', 'lt', 'mg', 'ms',\n 'mt', 'yua', 'no', 'otq', 'fa', 'pl', 'pt', 'ro', 'r', 'sm', 'sr-Cyrl',\n 'sr-Latn', 'sk', 'sl', 'es', 'sv', 'ty', 'th', 'to', 'tr', 'uk', 'ur', 'vi',\n 'cy']\n \"\"\"\n response = self.request(\n \"get\", self.get_url(\"languages\"), params={\"api-version\": \"3.0\"}\n )\n # Microsoft tends to use utf-8-sig instead of plain utf-8\n response.encoding = response.apparent_encoding\n payload = response.json()\n\n # We should get an object, string usually means an error\n if isinstance(payload, str):\n raise MachineTranslationError(payload)\n\n return payload[\"translation\"].keys()\n\n def download_translations(\n self,\n source,\n language,\n text: str,\n unit,\n user,\n threshold: int = 75,\n ):\n \"\"\"Download list of possible translations from a service.\"\"\"\n args = {\n \"api-version\": \"3.0\",\n \"from\": source,\n \"to\": language,\n \"category\": \"general\",\n }\n response = self.request(\n \"post\", self.get_url(\"translate\"), params=args, json=[{\"Text\": text[:5000]}]\n )\n # Microsoft tends to use utf-8-sig instead of plain utf-8\n response.encoding = \"utf-8-sig\"\n payload = response.json()\n yield {\n \"text\": payload[0][\"translations\"][0][\"text\"],\n \"quality\": self.max_score,\n \"service\": self.name,\n \"source\": text,\n }\n", "path": "weblate/machinery/microsoft.py" } ]
diff --git a/weblate/machinery/microsoft.py b/weblate/machinery/microsoft.py index 7f88aaeeb8b2..d81032014008 100644 --- a/weblate/machinery/microsoft.py +++ b/weblate/machinery/microsoft.py @@ -32,6 +32,7 @@ class MicrosoftCognitiveTranslation(MachineTranslation): "tlh-qaak": "tlh-Piqd", "nb": "no", "bs-latn": "bs-Latn", + "sr": "sr-Latn", "sr-latn": "sr-Latn", "sr-cyrl": "sr-Cyrl", "mn": "mn-Mong",
Microsoft automatic translation fails for Serbian ("sr") ### Describe the issue For the locale Serbian - "sr" the automatic translation with Microsoft Translator does not work. There are no "Automatic suggestions" and the "Automatic translation" tool does not get any texts. ### I already tried - [X] I've read and searched [the documentation](https://docs.weblate.org/). - [X] I've searched for similar issues in this repository. ### Steps to reproduce the behavior 1. Add Microsoft Translator to Weblate 2. Create a project and component with the language "Serbian" - "sr" 3. Go to `/translate/{project}/{component}/sr/?q=state:<translated` and see that no texts are suggested ### Expected behavior Automatic suggestions should be shown for Serbian. ### Screenshots _No response_ ### Exception traceback _No response_ ### How do you run Weblate? Docker container ### Weblate versions * Weblate: 4.18.2 * Django: 4.2.2 * siphashc: 2.1 * translate-toolkit: 3.9.2 * lxml: 4.9.2 * Pillow: 9.5.0 * nh3: 0.2.13 * python-dateutil: 2.8.2 * social-auth-core: 4.4.2 * social-auth-app-django: 5.2.0 * django-crispy-forms: 2.0 * oauthlib: 3.2.2 * django-compressor: 4.4 * djangorestframework: 3.14.0 * django-filter: 23.2 * django-appconf: 1.0.5 * user-agents: 2.2.0 * filelock: 3.12.2 * rapidfuzz: 3.1.1 * openpyxl: 3.1.2 * celery: 5.3.1 * django-celery-beat: 2.5.0 * kombu: 5.3.1 * translation-finder: 2.15 * weblate-language-data: 2023.5 * html2text: 2020.1.16 * pycairo: 1.24.0 * PyGObject: 3.44.1 * diff-match-patch: 20230430 * requests: 2.31.0 * django-redis: 5.3.0 * hiredis: 2.2.3 * sentry-sdk: 1.26.0 * Cython: 0.29.35 * misaka: 2.1.1 * GitPython: 3.1.31 * borgbackup: 1.2.4 * pyparsing: 3.0.9 * pyahocorasick: 2.0.0 * python-redis-lock: 4.0.0 * charset-normalizer: 3.1.0 * Python: 3.11.4 * Git: 2.30.2 * psycopg2: 2.9.6 * phply: 1.2.6 * ruamel.yaml: 0.17.32 * tesserocr: 2.6.0 * boto3: 1.26.164 * zeep: 4.2.1 * aeidon: 1.12 * iniparse: 0.5 * mysqlclient: 2.2.0 * Mercurial: 6.4.5 * git-svn: 2.30.2 * git-review: 2.3.1 * Redis server: 6.2.12 * PostgreSQL server: 13.10 * Database backends: django.db.backends.postgresql * Cache backends: default:RedisCache, avatar:FileBasedCache * Email setup: django.core.mail.backends.smtp.EmailBackend: mailz.porsche.co.at * OS encoding: filesystem=utf-8, default=utf-8 * Celery: redis://localhost:6379/1, redis://localhost:6379/1, regular * Platform: Linux 3.10.0-1160.90.1.el7.x86_64 (x86_64) ### Weblate deploy checks ```shell System check identified some issues: INFOS: ?: (weblate.I021) Error collection is not set up, it is highly recommended for production use HINT: https://docs.weblate.org/en/latest/admin/install.html#collecting-errors System check identified 1 issue (1 silenced). ``` ### Additional context It seems that Microsoft translator treats "sr" as "sr-Latn". For example: ``` POST https://api-eur.cognitive.microsofttranslator.com/translate?api-version=3.0&from=en&to=sr Content-Type: application/json [{"Text":"Hello World!"}] ``` gets the answer ``` [ { "translations": [ { "text": "Zdravo svete!", "to": "sr-Latn" } ] } ] ``` I think this has to be added to the `language_map`: https://github.com/WeblateOrg/weblate/blob/5674acc39e21ea092c0d2fba89569b802315595a/weblate/machinery/microsoft.py#L26
python-discord__bot-1390
[ { "content": "import logging\nimport re\nimport typing as t\nfrom datetime import datetime\nfrom functools import partial\nfrom ssl import CertificateError\n\nimport dateutil.parser\nimport dateutil.tz\nimport discord\nfrom aiohttp import ClientConnectorError\nfrom dateutil.relativedelta import relativedelta\nfrom discord.ext.commands import BadArgument, Bot, Context, Converter, IDConverter, UserConverter\nfrom discord.utils import DISCORD_EPOCH, snowflake_time\n\nfrom bot.api import ResponseCodeError\nfrom bot.constants import URLs\nfrom bot.utils.regex import INVITE_RE\n\nlog = logging.getLogger(__name__)\n\nDISCORD_EPOCH_DT = datetime.utcfromtimestamp(DISCORD_EPOCH / 1000)\nRE_USER_MENTION = re.compile(r\"<@!?([0-9]+)>$\")\n\n\ndef allowed_strings(*values, preserve_case: bool = False) -> t.Callable[[str], str]:\n \"\"\"\n Return a converter which only allows arguments equal to one of the given values.\n\n Unless preserve_case is True, the argument is converted to lowercase. All values are then\n expected to have already been given in lowercase too.\n \"\"\"\n def converter(arg: str) -> str:\n if not preserve_case:\n arg = arg.lower()\n\n if arg not in values:\n raise BadArgument(f\"Only the following values are allowed:\\n```{', '.join(values)}```\")\n else:\n return arg\n\n return converter\n\n\nclass ValidDiscordServerInvite(Converter):\n \"\"\"\n A converter that validates whether a given string is a valid Discord server invite.\n\n Raises 'BadArgument' if:\n - The string is not a valid Discord server invite.\n - The string is valid, but is an invite for a group DM.\n - The string is valid, but is expired.\n\n Returns a (partial) guild object if:\n - The string is a valid vanity\n - The string is a full invite URI\n - The string contains the invite code (the stuff after discord.gg/)\n\n See the Discord API docs for documentation on the guild object:\n https://discord.com/developers/docs/resources/guild#guild-object\n \"\"\"\n\n async def convert(self, ctx: Context, server_invite: str) -> dict:\n \"\"\"Check whether the string is a valid Discord server invite.\"\"\"\n invite_code = INVITE_RE.search(server_invite)\n if invite_code:\n response = await ctx.bot.http_session.get(\n f\"{URLs.discord_invite_api}/{invite_code[1]}\"\n )\n if response.status != 404:\n invite_data = await response.json()\n return invite_data.get(\"guild\")\n\n id_converter = IDConverter()\n if id_converter._get_id_match(server_invite):\n raise BadArgument(\"Guild IDs are not supported, only invites.\")\n\n raise BadArgument(\"This does not appear to be a valid Discord server invite.\")\n\n\nclass ValidFilterListType(Converter):\n \"\"\"\n A converter that checks whether the given string is a valid FilterList type.\n\n Raises `BadArgument` if the argument is not a valid FilterList type, and simply\n passes through the given argument otherwise.\n \"\"\"\n\n @staticmethod\n async def get_valid_types(bot: Bot) -> list:\n \"\"\"\n Try to get a list of valid filter list types.\n\n Raise a BadArgument if the API can't respond.\n \"\"\"\n try:\n valid_types = await bot.api_client.get('bot/filter-lists/get-types')\n except ResponseCodeError:\n raise BadArgument(\"Cannot validate list_type: Unable to fetch valid types from API.\")\n\n return [enum for enum, classname in valid_types]\n\n async def convert(self, ctx: Context, list_type: str) -> str:\n \"\"\"Checks whether the given string is a valid FilterList type.\"\"\"\n valid_types = await self.get_valid_types(ctx.bot)\n list_type = list_type.upper()\n\n if list_type not in valid_types:\n\n # Maybe the user is using the plural form of this type,\n # e.g. \"guild_invites\" instead of \"guild_invite\".\n #\n # This code will support the simple plural form (a single 's' at the end),\n # which works for all current list types, but if a list type is added in the future\n # which has an irregular plural form (like 'ies'), this code will need to be\n # refactored to support this.\n if list_type.endswith(\"S\") and list_type[:-1] in valid_types:\n list_type = list_type[:-1]\n\n else:\n valid_types_list = '\\n'.join([f\"• {type_.lower()}\" for type_ in valid_types])\n raise BadArgument(\n f\"You have provided an invalid list type!\\n\\n\"\n f\"Please provide one of the following: \\n{valid_types_list}\"\n )\n return list_type\n\n\nclass ValidPythonIdentifier(Converter):\n \"\"\"\n A converter that checks whether the given string is a valid Python identifier.\n\n This is used to have package names that correspond to how you would use the package in your\n code, e.g. `import package`.\n\n Raises `BadArgument` if the argument is not a valid Python identifier, and simply passes through\n the given argument otherwise.\n \"\"\"\n\n @staticmethod\n async def convert(ctx: Context, argument: str) -> str:\n \"\"\"Checks whether the given string is a valid Python identifier.\"\"\"\n if not argument.isidentifier():\n raise BadArgument(f\"`{argument}` is not a valid Python identifier\")\n return argument\n\n\nclass ValidURL(Converter):\n \"\"\"\n Represents a valid webpage URL.\n\n This converter checks whether the given URL can be reached and requesting it returns a status\n code of 200. If not, `BadArgument` is raised.\n\n Otherwise, it simply passes through the given URL.\n \"\"\"\n\n @staticmethod\n async def convert(ctx: Context, url: str) -> str:\n \"\"\"This converter checks whether the given URL can be reached with a status code of 200.\"\"\"\n try:\n async with ctx.bot.http_session.get(url) as resp:\n if resp.status != 200:\n raise BadArgument(\n f\"HTTP GET on `{url}` returned status `{resp.status}`, expected 200\"\n )\n except CertificateError:\n if url.startswith('https'):\n raise BadArgument(\n f\"Got a `CertificateError` for URL `{url}`. Does it support HTTPS?\"\n )\n raise BadArgument(f\"Got a `CertificateError` for URL `{url}`.\")\n except ValueError:\n raise BadArgument(f\"`{url}` doesn't look like a valid hostname to me.\")\n except ClientConnectorError:\n raise BadArgument(f\"Cannot connect to host with URL `{url}`.\")\n return url\n\n\nclass Snowflake(IDConverter):\n \"\"\"\n Converts to an int if the argument is a valid Discord snowflake.\n\n A snowflake is valid if:\n\n * It consists of 15-21 digits (0-9)\n * Its parsed datetime is after the Discord epoch\n * Its parsed datetime is less than 1 day after the current time\n \"\"\"\n\n async def convert(self, ctx: Context, arg: str) -> int:\n \"\"\"\n Ensure `arg` matches the ID pattern and its timestamp is in range.\n\n Return `arg` as an int if it's a valid snowflake.\n \"\"\"\n error = f\"Invalid snowflake {arg!r}\"\n\n if not self._get_id_match(arg):\n raise BadArgument(error)\n\n snowflake = int(arg)\n\n try:\n time = snowflake_time(snowflake)\n except (OverflowError, OSError) as e:\n # Not sure if this can ever even happen, but let's be safe.\n raise BadArgument(f\"{error}: {e}\")\n\n if time < DISCORD_EPOCH_DT:\n raise BadArgument(f\"{error}: timestamp is before the Discord epoch.\")\n elif (datetime.utcnow() - time).days < -1:\n raise BadArgument(f\"{error}: timestamp is too far into the future.\")\n\n return snowflake\n\n\nclass Subreddit(Converter):\n \"\"\"Forces a string to begin with \"r/\" and checks if it's a valid subreddit.\"\"\"\n\n @staticmethod\n async def convert(ctx: Context, sub: str) -> str:\n \"\"\"\n Force sub to begin with \"r/\" and check if it's a valid subreddit.\n\n If sub is a valid subreddit, return it prepended with \"r/\"\n \"\"\"\n sub = sub.lower()\n\n if not sub.startswith(\"r/\"):\n sub = f\"r/{sub}\"\n\n resp = await ctx.bot.http_session.get(\n \"https://www.reddit.com/subreddits/search.json\",\n params={\"q\": sub}\n )\n\n json = await resp.json()\n if not json[\"data\"][\"children\"]:\n raise BadArgument(\n f\"The subreddit `{sub}` either doesn't exist, or it has no posts.\"\n )\n\n return sub\n\n\nclass TagNameConverter(Converter):\n \"\"\"\n Ensure that a proposed tag name is valid.\n\n Valid tag names meet the following conditions:\n * All ASCII characters\n * Has at least one non-whitespace character\n * Not solely numeric\n * Shorter than 127 characters\n \"\"\"\n\n @staticmethod\n async def convert(ctx: Context, tag_name: str) -> str:\n \"\"\"Lowercase & strip whitespace from proposed tag_name & ensure it's valid.\"\"\"\n tag_name = tag_name.lower().strip()\n\n # The tag name has at least one invalid character.\n if ascii(tag_name)[1:-1] != tag_name:\n raise BadArgument(\"Don't be ridiculous, you can't use that character!\")\n\n # The tag name is either empty, or consists of nothing but whitespace.\n elif not tag_name:\n raise BadArgument(\"Tag names should not be empty, or filled with whitespace.\")\n\n # The tag name is longer than 127 characters.\n elif len(tag_name) > 127:\n raise BadArgument(\"Are you insane? That's way too long!\")\n\n # The tag name is ascii but does not contain any letters.\n elif not any(character.isalpha() for character in tag_name):\n raise BadArgument(\"Tag names must contain at least one letter.\")\n\n return tag_name\n\n\nclass TagContentConverter(Converter):\n \"\"\"Ensure proposed tag content is not empty and contains at least one non-whitespace character.\"\"\"\n\n @staticmethod\n async def convert(ctx: Context, tag_content: str) -> str:\n \"\"\"\n Ensure tag_content is non-empty and contains at least one non-whitespace character.\n\n If tag_content is valid, return the stripped version.\n \"\"\"\n tag_content = tag_content.strip()\n\n # The tag contents should not be empty, or filled with whitespace.\n if not tag_content:\n raise BadArgument(\"Tag contents should not be empty, or filled with whitespace.\")\n\n return tag_content\n\n\nclass DurationDelta(Converter):\n \"\"\"Convert duration strings into dateutil.relativedelta.relativedelta objects.\"\"\"\n\n duration_parser = re.compile(\n r\"((?P<years>\\d+?) ?(years|year|Y|y) ?)?\"\n r\"((?P<months>\\d+?) ?(months|month|m) ?)?\"\n r\"((?P<weeks>\\d+?) ?(weeks|week|W|w) ?)?\"\n r\"((?P<days>\\d+?) ?(days|day|D|d) ?)?\"\n r\"((?P<hours>\\d+?) ?(hours|hour|H|h) ?)?\"\n r\"((?P<minutes>\\d+?) ?(minutes|minute|M) ?)?\"\n r\"((?P<seconds>\\d+?) ?(seconds|second|S|s))?\"\n )\n\n async def convert(self, ctx: Context, duration: str) -> relativedelta:\n \"\"\"\n Converts a `duration` string to a relativedelta object.\n\n The converter supports the following symbols for each unit of time:\n - years: `Y`, `y`, `year`, `years`\n - months: `m`, `month`, `months`\n - weeks: `w`, `W`, `week`, `weeks`\n - days: `d`, `D`, `day`, `days`\n - hours: `H`, `h`, `hour`, `hours`\n - minutes: `M`, `minute`, `minutes`\n - seconds: `S`, `s`, `second`, `seconds`\n\n The units need to be provided in descending order of magnitude.\n \"\"\"\n match = self.duration_parser.fullmatch(duration)\n if not match:\n raise BadArgument(f\"`{duration}` is not a valid duration string.\")\n\n duration_dict = {unit: int(amount) for unit, amount in match.groupdict(default=0).items()}\n delta = relativedelta(**duration_dict)\n\n return delta\n\n\nclass Duration(DurationDelta):\n \"\"\"Convert duration strings into UTC datetime.datetime objects.\"\"\"\n\n async def convert(self, ctx: Context, duration: str) -> datetime:\n \"\"\"\n Converts a `duration` string to a datetime object that's `duration` in the future.\n\n The converter supports the same symbols for each unit of time as its parent class.\n \"\"\"\n delta = await super().convert(ctx, duration)\n now = datetime.utcnow()\n\n try:\n return now + delta\n except ValueError:\n raise BadArgument(f\"`{duration}` results in a datetime outside the supported range.\")\n\n\nclass OffTopicName(Converter):\n \"\"\"A converter that ensures an added off-topic name is valid.\"\"\"\n\n async def convert(self, ctx: Context, argument: str) -> str:\n \"\"\"Attempt to replace any invalid characters with their approximate Unicode equivalent.\"\"\"\n allowed_characters = \"ABCDEFGHIJKLMNOPQRSTUVWXYZ!?'`-\"\n\n # Chain multiple words to a single one\n argument = \"-\".join(argument.split())\n\n if not (2 <= len(argument) <= 96):\n raise BadArgument(\"Channel name must be between 2 and 96 chars long\")\n\n elif not all(c.isalnum() or c in allowed_characters for c in argument):\n raise BadArgument(\n \"Channel name must only consist of \"\n \"alphanumeric characters, minus signs or apostrophes.\"\n )\n\n # Replace invalid characters with unicode alternatives.\n table = str.maketrans(\n allowed_characters, '𝖠𝖡𝖢𝖣𝖤𝖥𝖦𝖧𝖨𝖩𝖪𝖫𝖬𝖭𝖮𝖯𝖰𝖱𝖲𝖳𝖴𝖵𝖶𝖷𝖸𝖹ǃ？’’-'\n )\n return argument.translate(table)\n\n\nclass ISODateTime(Converter):\n \"\"\"Converts an ISO-8601 datetime string into a datetime.datetime.\"\"\"\n\n async def convert(self, ctx: Context, datetime_string: str) -> datetime:\n \"\"\"\n Converts a ISO-8601 `datetime_string` into a `datetime.datetime` object.\n\n The converter is flexible in the formats it accepts, as it uses the `isoparse` method of\n `dateutil.parser`. In general, it accepts datetime strings that start with a date,\n optionally followed by a time. Specifying a timezone offset in the datetime string is\n supported, but the `datetime` object will be converted to UTC and will be returned without\n `tzinfo` as a timezone-unaware `datetime` object.\n\n See: https://dateutil.readthedocs.io/en/stable/parser.html#dateutil.parser.isoparse\n\n Formats that are guaranteed to be valid by our tests are:\n\n - `YYYY-mm-ddTHH:MM:SSZ` | `YYYY-mm-dd HH:MM:SSZ`\n - `YYYY-mm-ddTHH:MM:SS±HH:MM` | `YYYY-mm-dd HH:MM:SS±HH:MM`\n - `YYYY-mm-ddTHH:MM:SS±HHMM` | `YYYY-mm-dd HH:MM:SS±HHMM`\n - `YYYY-mm-ddTHH:MM:SS±HH` | `YYYY-mm-dd HH:MM:SS±HH`\n - `YYYY-mm-ddTHH:MM:SS` | `YYYY-mm-dd HH:MM:SS`\n - `YYYY-mm-ddTHH:MM` | `YYYY-mm-dd HH:MM`\n - `YYYY-mm-dd`\n - `YYYY-mm`\n - `YYYY`\n\n Note: ISO-8601 specifies a `T` as the separator between the date and the time part of the\n datetime string. The converter accepts both a `T` and a single space character.\n \"\"\"\n try:\n dt = dateutil.parser.isoparse(datetime_string)\n except ValueError:\n raise BadArgument(f\"`{datetime_string}` is not a valid ISO-8601 datetime string\")\n\n if dt.tzinfo:\n dt = dt.astimezone(dateutil.tz.UTC)\n dt = dt.replace(tzinfo=None)\n\n return dt\n\n\nclass HushDurationConverter(Converter):\n \"\"\"Convert passed duration to `int` minutes or `None`.\"\"\"\n\n MINUTES_RE = re.compile(r\"(\\d+)(?:M|m|$)\")\n\n async def convert(self, ctx: Context, argument: str) -> t.Optional[int]:\n \"\"\"\n Convert `argument` to a duration that's max 15 minutes or None.\n\n If `\"forever\"` is passed, None is returned; otherwise an int of the extracted time.\n Accepted formats are:\n * <duration>,\n * <duration>m,\n * <duration>M,\n * forever.\n \"\"\"\n if argument == \"forever\":\n return None\n match = self.MINUTES_RE.match(argument)\n if not match:\n raise BadArgument(f\"{argument} is not a valid minutes duration.\")\n\n duration = int(match.group(1))\n if duration > 15:\n raise BadArgument(\"Duration must be at most 15 minutes.\")\n return duration\n\n\ndef proxy_user(user_id: str) -> discord.Object:\n \"\"\"\n Create a proxy user object from the given id.\n\n Used when a Member or User object cannot be resolved.\n \"\"\"\n log.trace(f\"Attempting to create a proxy user for the user id {user_id}.\")\n\n try:\n user_id = int(user_id)\n except ValueError:\n log.debug(f\"Failed to create proxy user {user_id}: could not convert to int.\")\n raise BadArgument(f\"User ID `{user_id}` is invalid - could not convert to an integer.\")\n\n user = discord.Object(user_id)\n user.mention = user.id\n user.display_name = f\"<@{user.id}>\"\n user.avatar_url_as = lambda static_format: None\n user.bot = False\n\n return user\n\n\nclass UserMentionOrID(UserConverter):\n \"\"\"\n Converts to a `discord.User`, but only if a mention or userID is provided.\n\n Unlike the default `UserConverter`, it doesn't allow conversion from a name or name#descrim.\n This is useful in cases where that lookup strategy would lead to ambiguity.\n \"\"\"\n\n async def convert(self, ctx: Context, argument: str) -> discord.User:\n \"\"\"Convert the `arg` to a `discord.User`.\"\"\"\n match = self._get_id_match(argument) or RE_USER_MENTION.match(argument)\n\n if match is not None:\n return await super().convert(ctx, argument)\n else:\n raise BadArgument(f\"`{argument}` is not a User mention or a User ID.\")\n\n\nclass FetchedUser(UserConverter):\n \"\"\"\n Converts to a `discord.User` or, if it fails, a `discord.Object`.\n\n Unlike the default `UserConverter`, which only does lookups via the global user cache, this\n converter attempts to fetch the user via an API call to Discord when the using the cache is\n unsuccessful.\n\n If the fetch also fails and the error doesn't imply the user doesn't exist, then a\n `discord.Object` is returned via the `user_proxy` converter.\n\n The lookup strategy is as follows (in order):\n\n 1. Lookup by ID.\n 2. Lookup by mention.\n 3. Lookup by name#discrim\n 4. Lookup by name\n 5. Lookup via API\n 6. Create a proxy user with discord.Object\n \"\"\"\n\n async def convert(self, ctx: Context, arg: str) -> t.Union[discord.User, discord.Object]:\n \"\"\"Convert the `arg` to a `discord.User` or `discord.Object`.\"\"\"\n try:\n return await super().convert(ctx, arg)\n except BadArgument:\n pass\n\n try:\n user_id = int(arg)\n log.trace(f\"Fetching user {user_id}...\")\n return await ctx.bot.fetch_user(user_id)\n except ValueError:\n log.debug(f\"Failed to fetch user {arg}: could not convert to int.\")\n raise BadArgument(f\"The provided argument can't be turned into integer: `{arg}`\")\n except discord.HTTPException as e:\n # If the Discord error isn't `Unknown user`, return a proxy instead\n if e.code != 10013:\n log.info(f\"Failed to fetch user, returning a proxy instead: status {e.status}\")\n return proxy_user(arg)\n\n log.debug(f\"Failed to fetch user {arg}: user does not exist.\")\n raise BadArgument(f\"User `{arg}` does not exist\")\n\n\ndef _snowflake_from_regex(pattern: t.Pattern, arg: str) -> int:\n \"\"\"\n Extract the snowflake from `arg` using a regex `pattern` and return it as an int.\n\n The snowflake is expected to be within the first capture group in `pattern`.\n \"\"\"\n match = pattern.match(arg)\n if not match:\n raise BadArgument(f\"Mention {str!r} is invalid.\")\n\n return int(match.group(1))\n\n\nclass Infraction(Converter):\n \"\"\"\n Attempts to convert a given infraction ID into an infraction.\n\n Alternatively, `l`, `last`, or `recent` can be passed in order to\n obtain the most recent infraction by the actor.\n \"\"\"\n\n async def convert(self, ctx: Context, arg: str) -> t.Optional[dict]:\n \"\"\"Attempts to convert `arg` into an infraction `dict`.\"\"\"\n if arg in (\"l\", \"last\", \"recent\"):\n params = {\n \"actor__id\": ctx.author.id,\n \"ordering\": \"-inserted_at\"\n }\n\n infractions = await ctx.bot.api_client.get(\"bot/infractions\", params=params)\n\n if not infractions:\n raise BadArgument(\n \"Couldn't find most recent infraction; you have never given an infraction.\"\n )\n else:\n return infractions[0]\n\n else:\n return await ctx.bot.api_client.get(f\"bot/infractions/{arg}\")\n\n\nExpiry = t.Union[Duration, ISODateTime]\nFetchedMember = t.Union[discord.Member, FetchedUser]\nUserMention = partial(_snowflake_from_regex, RE_USER_MENTION)\n", "path": "bot/converters.py" } ]
[ { "content": "import logging\nimport re\nimport typing as t\nfrom datetime import datetime\nfrom functools import partial\nfrom ssl import CertificateError\n\nimport dateutil.parser\nimport dateutil.tz\nimport discord\nfrom aiohttp import ClientConnectorError\nfrom dateutil.relativedelta import relativedelta\nfrom discord.ext.commands import BadArgument, Bot, Context, Converter, IDConverter, UserConverter\nfrom discord.utils import DISCORD_EPOCH, snowflake_time\n\nfrom bot.api import ResponseCodeError\nfrom bot.constants import URLs\nfrom bot.utils.regex import INVITE_RE\n\nlog = logging.getLogger(__name__)\n\nDISCORD_EPOCH_DT = datetime.utcfromtimestamp(DISCORD_EPOCH / 1000)\nRE_USER_MENTION = re.compile(r\"<@!?([0-9]+)>$\")\n\n\ndef allowed_strings(*values, preserve_case: bool = False) -> t.Callable[[str], str]:\n \"\"\"\n Return a converter which only allows arguments equal to one of the given values.\n\n Unless preserve_case is True, the argument is converted to lowercase. All values are then\n expected to have already been given in lowercase too.\n \"\"\"\n def converter(arg: str) -> str:\n if not preserve_case:\n arg = arg.lower()\n\n if arg not in values:\n raise BadArgument(f\"Only the following values are allowed:\\n```{', '.join(values)}```\")\n else:\n return arg\n\n return converter\n\n\nclass ValidDiscordServerInvite(Converter):\n \"\"\"\n A converter that validates whether a given string is a valid Discord server invite.\n\n Raises 'BadArgument' if:\n - The string is not a valid Discord server invite.\n - The string is valid, but is an invite for a group DM.\n - The string is valid, but is expired.\n\n Returns a (partial) guild object if:\n - The string is a valid vanity\n - The string is a full invite URI\n - The string contains the invite code (the stuff after discord.gg/)\n\n See the Discord API docs for documentation on the guild object:\n https://discord.com/developers/docs/resources/guild#guild-object\n \"\"\"\n\n async def convert(self, ctx: Context, server_invite: str) -> dict:\n \"\"\"Check whether the string is a valid Discord server invite.\"\"\"\n invite_code = INVITE_RE.search(server_invite)\n if invite_code:\n response = await ctx.bot.http_session.get(\n f\"{URLs.discord_invite_api}/{invite_code[1]}\"\n )\n if response.status != 404:\n invite_data = await response.json()\n return invite_data.get(\"guild\")\n\n id_converter = IDConverter()\n if id_converter._get_id_match(server_invite):\n raise BadArgument(\"Guild IDs are not supported, only invites.\")\n\n raise BadArgument(\"This does not appear to be a valid Discord server invite.\")\n\n\nclass ValidFilterListType(Converter):\n \"\"\"\n A converter that checks whether the given string is a valid FilterList type.\n\n Raises `BadArgument` if the argument is not a valid FilterList type, and simply\n passes through the given argument otherwise.\n \"\"\"\n\n @staticmethod\n async def get_valid_types(bot: Bot) -> list:\n \"\"\"\n Try to get a list of valid filter list types.\n\n Raise a BadArgument if the API can't respond.\n \"\"\"\n try:\n valid_types = await bot.api_client.get('bot/filter-lists/get-types')\n except ResponseCodeError:\n raise BadArgument(\"Cannot validate list_type: Unable to fetch valid types from API.\")\n\n return [enum for enum, classname in valid_types]\n\n async def convert(self, ctx: Context, list_type: str) -> str:\n \"\"\"Checks whether the given string is a valid FilterList type.\"\"\"\n valid_types = await self.get_valid_types(ctx.bot)\n list_type = list_type.upper()\n\n if list_type not in valid_types:\n\n # Maybe the user is using the plural form of this type,\n # e.g. \"guild_invites\" instead of \"guild_invite\".\n #\n # This code will support the simple plural form (a single 's' at the end),\n # which works for all current list types, but if a list type is added in the future\n # which has an irregular plural form (like 'ies'), this code will need to be\n # refactored to support this.\n if list_type.endswith(\"S\") and list_type[:-1] in valid_types:\n list_type = list_type[:-1]\n\n else:\n valid_types_list = '\\n'.join([f\"• {type_.lower()}\" for type_ in valid_types])\n raise BadArgument(\n f\"You have provided an invalid list type!\\n\\n\"\n f\"Please provide one of the following: \\n{valid_types_list}\"\n )\n return list_type\n\n\nclass ValidPythonIdentifier(Converter):\n \"\"\"\n A converter that checks whether the given string is a valid Python identifier.\n\n This is used to have package names that correspond to how you would use the package in your\n code, e.g. `import package`.\n\n Raises `BadArgument` if the argument is not a valid Python identifier, and simply passes through\n the given argument otherwise.\n \"\"\"\n\n @staticmethod\n async def convert(ctx: Context, argument: str) -> str:\n \"\"\"Checks whether the given string is a valid Python identifier.\"\"\"\n if not argument.isidentifier():\n raise BadArgument(f\"`{argument}` is not a valid Python identifier\")\n return argument\n\n\nclass ValidURL(Converter):\n \"\"\"\n Represents a valid webpage URL.\n\n This converter checks whether the given URL can be reached and requesting it returns a status\n code of 200. If not, `BadArgument` is raised.\n\n Otherwise, it simply passes through the given URL.\n \"\"\"\n\n @staticmethod\n async def convert(ctx: Context, url: str) -> str:\n \"\"\"This converter checks whether the given URL can be reached with a status code of 200.\"\"\"\n try:\n async with ctx.bot.http_session.get(url) as resp:\n if resp.status != 200:\n raise BadArgument(\n f\"HTTP GET on `{url}` returned status `{resp.status}`, expected 200\"\n )\n except CertificateError:\n if url.startswith('https'):\n raise BadArgument(\n f\"Got a `CertificateError` for URL `{url}`. Does it support HTTPS?\"\n )\n raise BadArgument(f\"Got a `CertificateError` for URL `{url}`.\")\n except ValueError:\n raise BadArgument(f\"`{url}` doesn't look like a valid hostname to me.\")\n except ClientConnectorError:\n raise BadArgument(f\"Cannot connect to host with URL `{url}`.\")\n return url\n\n\nclass Snowflake(IDConverter):\n \"\"\"\n Converts to an int if the argument is a valid Discord snowflake.\n\n A snowflake is valid if:\n\n * It consists of 15-21 digits (0-9)\n * Its parsed datetime is after the Discord epoch\n * Its parsed datetime is less than 1 day after the current time\n \"\"\"\n\n async def convert(self, ctx: Context, arg: str) -> int:\n \"\"\"\n Ensure `arg` matches the ID pattern and its timestamp is in range.\n\n Return `arg` as an int if it's a valid snowflake.\n \"\"\"\n error = f\"Invalid snowflake {arg!r}\"\n\n if not self._get_id_match(arg):\n raise BadArgument(error)\n\n snowflake = int(arg)\n\n try:\n time = snowflake_time(snowflake)\n except (OverflowError, OSError) as e:\n # Not sure if this can ever even happen, but let's be safe.\n raise BadArgument(f\"{error}: {e}\")\n\n if time < DISCORD_EPOCH_DT:\n raise BadArgument(f\"{error}: timestamp is before the Discord epoch.\")\n elif (datetime.utcnow() - time).days < -1:\n raise BadArgument(f\"{error}: timestamp is too far into the future.\")\n\n return snowflake\n\n\nclass Subreddit(Converter):\n \"\"\"Forces a string to begin with \"r/\" and checks if it's a valid subreddit.\"\"\"\n\n @staticmethod\n async def convert(ctx: Context, sub: str) -> str:\n \"\"\"\n Force sub to begin with \"r/\" and check if it's a valid subreddit.\n\n If sub is a valid subreddit, return it prepended with \"r/\"\n \"\"\"\n sub = sub.lower()\n\n if not sub.startswith(\"r/\"):\n sub = f\"r/{sub}\"\n\n resp = await ctx.bot.http_session.get(\n \"https://www.reddit.com/subreddits/search.json\",\n params={\"q\": sub}\n )\n\n json = await resp.json()\n if not json[\"data\"][\"children\"]:\n raise BadArgument(\n f\"The subreddit `{sub}` either doesn't exist, or it has no posts.\"\n )\n\n return sub\n\n\nclass TagNameConverter(Converter):\n \"\"\"\n Ensure that a proposed tag name is valid.\n\n Valid tag names meet the following conditions:\n * All ASCII characters\n * Has at least one non-whitespace character\n * Not solely numeric\n * Shorter than 127 characters\n \"\"\"\n\n @staticmethod\n async def convert(ctx: Context, tag_name: str) -> str:\n \"\"\"Lowercase & strip whitespace from proposed tag_name & ensure it's valid.\"\"\"\n tag_name = tag_name.lower().strip()\n\n # The tag name has at least one invalid character.\n if ascii(tag_name)[1:-1] != tag_name:\n raise BadArgument(\"Don't be ridiculous, you can't use that character!\")\n\n # The tag name is either empty, or consists of nothing but whitespace.\n elif not tag_name:\n raise BadArgument(\"Tag names should not be empty, or filled with whitespace.\")\n\n # The tag name is longer than 127 characters.\n elif len(tag_name) > 127:\n raise BadArgument(\"Are you insane? That's way too long!\")\n\n # The tag name is ascii but does not contain any letters.\n elif not any(character.isalpha() for character in tag_name):\n raise BadArgument(\"Tag names must contain at least one letter.\")\n\n return tag_name\n\n\nclass TagContentConverter(Converter):\n \"\"\"Ensure proposed tag content is not empty and contains at least one non-whitespace character.\"\"\"\n\n @staticmethod\n async def convert(ctx: Context, tag_content: str) -> str:\n \"\"\"\n Ensure tag_content is non-empty and contains at least one non-whitespace character.\n\n If tag_content is valid, return the stripped version.\n \"\"\"\n tag_content = tag_content.strip()\n\n # The tag contents should not be empty, or filled with whitespace.\n if not tag_content:\n raise BadArgument(\"Tag contents should not be empty, or filled with whitespace.\")\n\n return tag_content\n\n\nclass DurationDelta(Converter):\n \"\"\"Convert duration strings into dateutil.relativedelta.relativedelta objects.\"\"\"\n\n duration_parser = re.compile(\n r\"((?P<years>\\d+?) ?(years|year|Y|y) ?)?\"\n r\"((?P<months>\\d+?) ?(months|month|m) ?)?\"\n r\"((?P<weeks>\\d+?) ?(weeks|week|W|w) ?)?\"\n r\"((?P<days>\\d+?) ?(days|day|D|d) ?)?\"\n r\"((?P<hours>\\d+?) ?(hours|hour|H|h) ?)?\"\n r\"((?P<minutes>\\d+?) ?(minutes|minute|M) ?)?\"\n r\"((?P<seconds>\\d+?) ?(seconds|second|S|s))?\"\n )\n\n async def convert(self, ctx: Context, duration: str) -> relativedelta:\n \"\"\"\n Converts a `duration` string to a relativedelta object.\n\n The converter supports the following symbols for each unit of time:\n - years: `Y`, `y`, `year`, `years`\n - months: `m`, `month`, `months`\n - weeks: `w`, `W`, `week`, `weeks`\n - days: `d`, `D`, `day`, `days`\n - hours: `H`, `h`, `hour`, `hours`\n - minutes: `M`, `minute`, `minutes`\n - seconds: `S`, `s`, `second`, `seconds`\n\n The units need to be provided in descending order of magnitude.\n \"\"\"\n match = self.duration_parser.fullmatch(duration)\n if not match:\n raise BadArgument(f\"`{duration}` is not a valid duration string.\")\n\n duration_dict = {unit: int(amount) for unit, amount in match.groupdict(default=0).items()}\n delta = relativedelta(**duration_dict)\n\n return delta\n\n\nclass Duration(DurationDelta):\n \"\"\"Convert duration strings into UTC datetime.datetime objects.\"\"\"\n\n async def convert(self, ctx: Context, duration: str) -> datetime:\n \"\"\"\n Converts a `duration` string to a datetime object that's `duration` in the future.\n\n The converter supports the same symbols for each unit of time as its parent class.\n \"\"\"\n delta = await super().convert(ctx, duration)\n now = datetime.utcnow()\n\n try:\n return now + delta\n except (ValueError, OverflowError):\n raise BadArgument(f\"`{duration}` results in a datetime outside the supported range.\")\n\n\nclass OffTopicName(Converter):\n \"\"\"A converter that ensures an added off-topic name is valid.\"\"\"\n\n async def convert(self, ctx: Context, argument: str) -> str:\n \"\"\"Attempt to replace any invalid characters with their approximate Unicode equivalent.\"\"\"\n allowed_characters = \"ABCDEFGHIJKLMNOPQRSTUVWXYZ!?'`-\"\n\n # Chain multiple words to a single one\n argument = \"-\".join(argument.split())\n\n if not (2 <= len(argument) <= 96):\n raise BadArgument(\"Channel name must be between 2 and 96 chars long\")\n\n elif not all(c.isalnum() or c in allowed_characters for c in argument):\n raise BadArgument(\n \"Channel name must only consist of \"\n \"alphanumeric characters, minus signs or apostrophes.\"\n )\n\n # Replace invalid characters with unicode alternatives.\n table = str.maketrans(\n allowed_characters, '𝖠𝖡𝖢𝖣𝖤𝖥𝖦𝖧𝖨𝖩𝖪𝖫𝖬𝖭𝖮𝖯𝖰𝖱𝖲𝖳𝖴𝖵𝖶𝖷𝖸𝖹ǃ？’’-'\n )\n return argument.translate(table)\n\n\nclass ISODateTime(Converter):\n \"\"\"Converts an ISO-8601 datetime string into a datetime.datetime.\"\"\"\n\n async def convert(self, ctx: Context, datetime_string: str) -> datetime:\n \"\"\"\n Converts a ISO-8601 `datetime_string` into a `datetime.datetime` object.\n\n The converter is flexible in the formats it accepts, as it uses the `isoparse` method of\n `dateutil.parser`. In general, it accepts datetime strings that start with a date,\n optionally followed by a time. Specifying a timezone offset in the datetime string is\n supported, but the `datetime` object will be converted to UTC and will be returned without\n `tzinfo` as a timezone-unaware `datetime` object.\n\n See: https://dateutil.readthedocs.io/en/stable/parser.html#dateutil.parser.isoparse\n\n Formats that are guaranteed to be valid by our tests are:\n\n - `YYYY-mm-ddTHH:MM:SSZ` | `YYYY-mm-dd HH:MM:SSZ`\n - `YYYY-mm-ddTHH:MM:SS±HH:MM` | `YYYY-mm-dd HH:MM:SS±HH:MM`\n - `YYYY-mm-ddTHH:MM:SS±HHMM` | `YYYY-mm-dd HH:MM:SS±HHMM`\n - `YYYY-mm-ddTHH:MM:SS±HH` | `YYYY-mm-dd HH:MM:SS±HH`\n - `YYYY-mm-ddTHH:MM:SS` | `YYYY-mm-dd HH:MM:SS`\n - `YYYY-mm-ddTHH:MM` | `YYYY-mm-dd HH:MM`\n - `YYYY-mm-dd`\n - `YYYY-mm`\n - `YYYY`\n\n Note: ISO-8601 specifies a `T` as the separator between the date and the time part of the\n datetime string. The converter accepts both a `T` and a single space character.\n \"\"\"\n try:\n dt = dateutil.parser.isoparse(datetime_string)\n except ValueError:\n raise BadArgument(f\"`{datetime_string}` is not a valid ISO-8601 datetime string\")\n\n if dt.tzinfo:\n dt = dt.astimezone(dateutil.tz.UTC)\n dt = dt.replace(tzinfo=None)\n\n return dt\n\n\nclass HushDurationConverter(Converter):\n \"\"\"Convert passed duration to `int` minutes or `None`.\"\"\"\n\n MINUTES_RE = re.compile(r\"(\\d+)(?:M|m|$)\")\n\n async def convert(self, ctx: Context, argument: str) -> t.Optional[int]:\n \"\"\"\n Convert `argument` to a duration that's max 15 minutes or None.\n\n If `\"forever\"` is passed, None is returned; otherwise an int of the extracted time.\n Accepted formats are:\n * <duration>,\n * <duration>m,\n * <duration>M,\n * forever.\n \"\"\"\n if argument == \"forever\":\n return None\n match = self.MINUTES_RE.match(argument)\n if not match:\n raise BadArgument(f\"{argument} is not a valid minutes duration.\")\n\n duration = int(match.group(1))\n if duration > 15:\n raise BadArgument(\"Duration must be at most 15 minutes.\")\n return duration\n\n\ndef proxy_user(user_id: str) -> discord.Object:\n \"\"\"\n Create a proxy user object from the given id.\n\n Used when a Member or User object cannot be resolved.\n \"\"\"\n log.trace(f\"Attempting to create a proxy user for the user id {user_id}.\")\n\n try:\n user_id = int(user_id)\n except ValueError:\n log.debug(f\"Failed to create proxy user {user_id}: could not convert to int.\")\n raise BadArgument(f\"User ID `{user_id}` is invalid - could not convert to an integer.\")\n\n user = discord.Object(user_id)\n user.mention = user.id\n user.display_name = f\"<@{user.id}>\"\n user.avatar_url_as = lambda static_format: None\n user.bot = False\n\n return user\n\n\nclass UserMentionOrID(UserConverter):\n \"\"\"\n Converts to a `discord.User`, but only if a mention or userID is provided.\n\n Unlike the default `UserConverter`, it doesn't allow conversion from a name or name#descrim.\n This is useful in cases where that lookup strategy would lead to ambiguity.\n \"\"\"\n\n async def convert(self, ctx: Context, argument: str) -> discord.User:\n \"\"\"Convert the `arg` to a `discord.User`.\"\"\"\n match = self._get_id_match(argument) or RE_USER_MENTION.match(argument)\n\n if match is not None:\n return await super().convert(ctx, argument)\n else:\n raise BadArgument(f\"`{argument}` is not a User mention or a User ID.\")\n\n\nclass FetchedUser(UserConverter):\n \"\"\"\n Converts to a `discord.User` or, if it fails, a `discord.Object`.\n\n Unlike the default `UserConverter`, which only does lookups via the global user cache, this\n converter attempts to fetch the user via an API call to Discord when the using the cache is\n unsuccessful.\n\n If the fetch also fails and the error doesn't imply the user doesn't exist, then a\n `discord.Object` is returned via the `user_proxy` converter.\n\n The lookup strategy is as follows (in order):\n\n 1. Lookup by ID.\n 2. Lookup by mention.\n 3. Lookup by name#discrim\n 4. Lookup by name\n 5. Lookup via API\n 6. Create a proxy user with discord.Object\n \"\"\"\n\n async def convert(self, ctx: Context, arg: str) -> t.Union[discord.User, discord.Object]:\n \"\"\"Convert the `arg` to a `discord.User` or `discord.Object`.\"\"\"\n try:\n return await super().convert(ctx, arg)\n except BadArgument:\n pass\n\n try:\n user_id = int(arg)\n log.trace(f\"Fetching user {user_id}...\")\n return await ctx.bot.fetch_user(user_id)\n except ValueError:\n log.debug(f\"Failed to fetch user {arg}: could not convert to int.\")\n raise BadArgument(f\"The provided argument can't be turned into integer: `{arg}`\")\n except discord.HTTPException as e:\n # If the Discord error isn't `Unknown user`, return a proxy instead\n if e.code != 10013:\n log.info(f\"Failed to fetch user, returning a proxy instead: status {e.status}\")\n return proxy_user(arg)\n\n log.debug(f\"Failed to fetch user {arg}: user does not exist.\")\n raise BadArgument(f\"User `{arg}` does not exist\")\n\n\ndef _snowflake_from_regex(pattern: t.Pattern, arg: str) -> int:\n \"\"\"\n Extract the snowflake from `arg` using a regex `pattern` and return it as an int.\n\n The snowflake is expected to be within the first capture group in `pattern`.\n \"\"\"\n match = pattern.match(arg)\n if not match:\n raise BadArgument(f\"Mention {str!r} is invalid.\")\n\n return int(match.group(1))\n\n\nclass Infraction(Converter):\n \"\"\"\n Attempts to convert a given infraction ID into an infraction.\n\n Alternatively, `l`, `last`, or `recent` can be passed in order to\n obtain the most recent infraction by the actor.\n \"\"\"\n\n async def convert(self, ctx: Context, arg: str) -> t.Optional[dict]:\n \"\"\"Attempts to convert `arg` into an infraction `dict`.\"\"\"\n if arg in (\"l\", \"last\", \"recent\"):\n params = {\n \"actor__id\": ctx.author.id,\n \"ordering\": \"-inserted_at\"\n }\n\n infractions = await ctx.bot.api_client.get(\"bot/infractions\", params=params)\n\n if not infractions:\n raise BadArgument(\n \"Couldn't find most recent infraction; you have never given an infraction.\"\n )\n else:\n return infractions[0]\n\n else:\n return await ctx.bot.api_client.get(f\"bot/infractions/{arg}\")\n\n\nExpiry = t.Union[Duration, ISODateTime]\nFetchedMember = t.Union[discord.Member, FetchedUser]\nUserMention = partial(_snowflake_from_regex, RE_USER_MENTION)\n", "path": "bot/converters.py" } ]
diff --git a/bot/converters.py b/bot/converters.py index d0a9731d66..0d9a519df0 100644 --- a/bot/converters.py +++ b/bot/converters.py @@ -350,7 +350,7 @@ async def convert(self, ctx: Context, duration: str) -> datetime: try: return now + delta - except ValueError: + except (ValueError, OverflowError): raise BadArgument(f"`{duration}` results in a datetime outside the supported range.")
Gracefully handle OverflowErrors from ConversionErrors Sentry Issue: [BOT-9N](https://sentry.io/organizations/python-discord/issues/1927146324/?referrer=github_integration) It can do a better job than displaying the raw exception message to the user. ``` OverflowError: signed integer is greater than maximum File "discord/ext/commands/core.py", line 444, in _actual_conversion ret = await instance.convert(ctx, argument) File "bot/converters.py", line 352, in convert return now + delta File "dateutil/relativedelta.py", line 405, in __radd__ return self.__add__(other) File "dateutil/relativedelta.py", line 387, in __add__ ret = (other.replace(**repl) ConversionError: (<class 'bot.converters.Duration'>, OverflowError('signed integer is greater than maximum')) (3 additional frame(s) were not displayed) ... File "discord/ext/commands/core.py", line 784, in prepare await self._parse_arguments(ctx) File "discord/ext/commands/core.py", line 690, in _parse_arguments transformed = await self.transform(ctx, param) File "discord/ext/commands/core.py", line 545, in transform return await self.do_conversion(ctx, converter, argument, param) File "discord/ext/commands/core.py", line 498, in do_conversion return await self._actual_conversion(ctx, converter, argument, param) File "discord/ext/commands/core.py", line 457, in _actual_conversion raise ConversionError(converter, exc) from exc Error executing command invoked by <REDACTED>: !remind 1000000000000000y still here? ```
django-extensions__django-extensions-922
[ { "content": "# coding=utf-8\n\"\"\"\nDjango Extensions additional model fields\n\"\"\"\nimport re\nimport six\nimport string\nimport warnings\n\ntry:\n import uuid\n HAS_UUID = True\nexcept ImportError:\n HAS_UUID = False\n\ntry:\n import shortuuid\n HAS_SHORT_UUID = True\nexcept ImportError:\n HAS_SHORT_UUID = False\n\nfrom django.core.exceptions import ImproperlyConfigured\nfrom django.db.models import DateTimeField, CharField, SlugField\nfrom django.template.defaultfilters import slugify\nfrom django.utils.crypto import get_random_string\nfrom django.utils.encoding import force_text\n\n\nMAX_UNIQUE_QUERY_ATTEMPTS = 100\n\n\nclass UniqueFieldMixin(object):\n\n def check_is_bool(self, attrname):\n if not isinstance(getattr(self, attrname), bool):\n raise ValueError(\"'{}' argument must be True or False\".format(attrname))\n\n @staticmethod\n def _get_fields(model_cls):\n return [\n (f, f.model if f.model != model_cls else None) for f in model_cls._meta.get_fields()\n if not f.is_relation or f.one_to_one or (f.many_to_one and f.related_model)\n ]\n\n def get_queryset(self, model_cls, slug_field):\n for field, model in self._get_fields(model_cls):\n if model and field == slug_field:\n return model._default_manager.all()\n return model_cls._default_manager.all()\n\n def find_unique(self, model_instance, field, iterator, *args):\n # exclude the current model instance from the queryset used in finding\n # next valid hash\n queryset = self.get_queryset(model_instance.__class__, field)\n if model_instance.pk:\n queryset = queryset.exclude(pk=model_instance.pk)\n\n # form a kwarg dict used to impliment any unique_together contraints\n kwargs = {}\n for params in model_instance._meta.unique_together:\n if self.attname in params:\n for param in params:\n kwargs[param] = getattr(model_instance, param, None)\n\n new = six.next(iterator)\n kwargs[self.attname] = new\n while not new or queryset.filter(**kwargs):\n new = six.next(iterator)\n kwargs[self.attname] = new\n setattr(model_instance, self.attname, new)\n return new\n\n\nclass AutoSlugField(UniqueFieldMixin, SlugField):\n \"\"\" AutoSlugField\n\n By default, sets editable=False, blank=True.\n\n Required arguments:\n\n populate_from\n Specifies which field or list of fields the slug is populated from.\n\n Optional arguments:\n\n separator\n Defines the used separator (default: '-')\n\n overwrite\n If set to True, overwrites the slug on every save (default: False)\n\n Inspired by SmileyChris' Unique Slugify snippet:\n http://www.djangosnippets.org/snippets/690/\n \"\"\"\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('blank', True)\n kwargs.setdefault('editable', False)\n\n populate_from = kwargs.pop('populate_from', None)\n if populate_from is None:\n raise ValueError(\"missing 'populate_from' argument\")\n else:\n self._populate_from = populate_from\n\n self.slugify_function = kwargs.pop('slugify_function', slugify)\n self.separator = kwargs.pop('separator', six.u('-'))\n self.overwrite = kwargs.pop('overwrite', False)\n self.check_is_bool('overwrite')\n self.allow_duplicates = kwargs.pop('allow_duplicates', False)\n self.check_is_bool('allow_duplicates')\n super(AutoSlugField, self).__init__(*args, **kwargs)\n\n def _slug_strip(self, value):\n \"\"\"\n Cleans up a slug by removing slug separator characters that occur at\n the beginning or end of a slug.\n\n If an alternate separator is used, it will also replace any instances\n of the default '-' separator with the new separator.\n \"\"\"\n re_sep = '(?:-|%s)' % re.escape(self.separator)\n value = re.sub('%s+' % re_sep, self.separator, value)\n return re.sub(r'^%s+|%s+$' % (re_sep, re_sep), '', value)\n\n def slugify_func(self, content):\n if content:\n return self.slugify_function(content)\n return ''\n\n def slug_generator(self, original_slug, start):\n yield original_slug\n for i in range(start, MAX_UNIQUE_QUERY_ATTEMPTS):\n slug = original_slug\n end = '%s%s' % (self.separator, i)\n end_len = len(end)\n if self.slug_len and len(slug) + end_len > self.slug_len:\n slug = slug[:self.slug_len - end_len]\n slug = self._slug_strip(slug)\n slug = '%s%s' % (slug, end)\n yield slug\n raise RuntimeError('max slug attempts for %s exceeded (%s)' %\n (original_slug, MAX_UNIQUE_QUERY_ATTEMPTS))\n\n def create_slug(self, model_instance, add):\n # get fields to populate from and slug field to set\n if not isinstance(self._populate_from, (list, tuple)):\n self._populate_from = (self._populate_from, )\n slug_field = model_instance._meta.get_field(self.attname)\n\n if add or self.overwrite:\n # slugify the original field content and set next step to 2\n slug_for_field = lambda field: self.slugify_func(getattr(model_instance, field))\n slug = self.separator.join(map(slug_for_field, self._populate_from))\n start = 2\n else:\n # get slug from the current model instance\n slug = getattr(model_instance, self.attname)\n # model_instance is being modified, and overwrite is False,\n # so instead of doing anything, just return the current slug\n return slug\n\n # strip slug depending on max_length attribute of the slug field\n # and clean-up\n self.slug_len = slug_field.max_length\n if self.slug_len:\n slug = slug[:self.slug_len]\n slug = self._slug_strip(slug)\n original_slug = slug\n\n if self.allow_duplicates:\n return slug\n\n return super(AutoSlugField, self).find_unique(\n model_instance, slug_field, self.slug_generator(original_slug, start))\n\n def pre_save(self, model_instance, add):\n value = force_text(self.create_slug(model_instance, add))\n return value\n\n def get_internal_type(self):\n return \"SlugField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(AutoSlugField, self).deconstruct()\n kwargs['populate_from'] = self._populate_from\n if not self.separator == six.u('-'):\n kwargs['separator'] = self.separator\n if self.overwrite is not False:\n kwargs['overwrite'] = True\n if self.allow_duplicates is not False:\n kwargs['allow_duplicates'] = True\n return name, path, args, kwargs\n\n\nclass RandomCharField(UniqueFieldMixin, CharField):\n \"\"\" RandomCharField\n\n By default, sets editable=False, blank=True, unique=False.\n\n Required arguments:\n\n length\n Specifies the length of the field\n\n Optional arguments:\n\n unique\n If set to True, duplicate entries are not allowed (default: False)\n\n lowercase\n If set to True, lowercase the alpha characters (default: False)\n\n uppercase\n If set to True, uppercase the alpha characters (default: False)\n\n include_alpha\n If set to True, include alpha characters (default: True)\n\n include_digits\n If set to True, include digit characters (default: True)\n\n include_punctuation\n If set to True, include punctuation characters (default: False)\n \"\"\"\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('blank', True)\n kwargs.setdefault('editable', False)\n\n self.length = kwargs.pop('length', None)\n if self.length is None:\n raise ValueError(\"missing 'length' argument\")\n kwargs['max_length'] = self.length\n\n self.lowercase = kwargs.pop('lowercase', False)\n self.check_is_bool('lowercase')\n self.uppercase = kwargs.pop('uppercase', False)\n self.check_is_bool('uppercase')\n if self.uppercase and self.lowercase:\n raise ValueError(\"the 'lowercase' and 'uppercase' arguments are mutually exclusive\")\n self.include_digits = kwargs.pop('include_digits', True)\n self.check_is_bool('include_digits')\n self.include_alpha = kwargs.pop('include_alpha', True)\n self.check_is_bool('include_alpha')\n self.include_punctuation = kwargs.pop('include_punctuation', False)\n self.check_is_bool('include_punctuation')\n\n # Set unique=False unless it's been set manually.\n if 'unique' not in kwargs:\n kwargs['unique'] = False\n\n super(RandomCharField, self).__init__(*args, **kwargs)\n\n def random_char_generator(self, chars):\n for i in range(MAX_UNIQUE_QUERY_ATTEMPTS):\n yield ''.join(get_random_string(self.length, chars))\n raise RuntimeError('max random character attempts exceeded (%s)' %\n MAX_UNIQUE_QUERY_ATTEMPTS)\n\n def pre_save(self, model_instance, add):\n if not add and getattr(model_instance, self.attname) != '':\n return getattr(model_instance, self.attname)\n\n population = ''\n if self.include_alpha:\n if self.lowercase:\n population += string.ascii_lowercase\n elif self.uppercase:\n population += string.ascii_uppercase\n else:\n population += string.ascii_letters\n\n if self.include_digits:\n population += string.digits\n\n if self.include_punctuation:\n population += string.punctuation\n\n random_chars = self.random_char_generator(population)\n if not self.unique:\n new = six.next(random_chars)\n setattr(model_instance, self.attname, new)\n return new\n\n return super(RandomCharField, self).find_unique(\n model_instance,\n model_instance._meta.get_field(self.attname),\n random_chars,\n )\n\n def internal_type(self):\n return \"CharField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(RandomCharField, self).deconstruct()\n kwargs['length'] = self.length\n del kwargs['max_length']\n if self.lowercase is True:\n kwargs['lowercase'] = self.lowercase\n if self.uppercase is True:\n kwargs['uppercase'] = self.uppercase\n if self.include_alpha is False:\n kwargs['include_alpha'] = self.include_alpha\n if self.include_digits is False:\n kwargs['include_digits'] = self.include_digits\n if self.include_punctuation is True:\n kwargs['include_punctuation'] = self.include_punctuation\n if self.unique is True:\n kwargs['unique'] = self.unique\n return name, path, args, kwargs\n\n\nclass CreationDateTimeField(DateTimeField):\n \"\"\" CreationDateTimeField\n\n By default, sets editable=False, blank=True, auto_now_add=True\n \"\"\"\n\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('editable', False)\n kwargs.setdefault('blank', True)\n kwargs.setdefault('auto_now_add', True)\n DateTimeField.__init__(self, *args, **kwargs)\n\n def get_internal_type(self):\n return \"DateTimeField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(CreationDateTimeField, self).deconstruct()\n if self.editable is not False:\n kwargs['editable'] = True\n if self.blank is not True:\n kwargs['blank'] = False\n if self.auto_now_add is not False:\n kwargs['auto_now_add'] = True\n return name, path, args, kwargs\n\n\nclass ModificationDateTimeField(CreationDateTimeField):\n \"\"\" ModificationDateTimeField\n\n By default, sets editable=False, blank=True, auto_now=True\n\n Sets value to now every time the object is saved.\n \"\"\"\n\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('auto_now', True)\n DateTimeField.__init__(self, *args, **kwargs)\n\n def get_internal_type(self):\n return \"DateTimeField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(ModificationDateTimeField, self).deconstruct()\n if self.auto_now is not False:\n kwargs['auto_now'] = True\n return name, path, args, kwargs\n\n def pre_save(self, model_instance, add):\n if not getattr(model_instance, 'update_modified', True):\n return model_instance.modified\n return super(ModificationDateTimeField, self).pre_save(model_instance, add)\n\n\nclass UUIDVersionError(Exception):\n pass\n\n\nclass UUIDField(CharField):\n \"\"\" UUIDField\n\n By default uses UUID version 4 (randomly generated UUID).\n\n The field support all uuid versions which are natively supported by the uuid python module, except version 2.\n For more information see: http://docs.python.org/lib/module-uuid.html\n \"\"\"\n DEFAULT_MAX_LENGTH = 36\n\n def __init__(self, verbose_name=None, name=None, auto=True, version=4, node=None, clock_seq=None, namespace=None, uuid_name=None, *args, **kwargs):\n warnings.warn(\"Django 1.8 features a native UUIDField, this UUIDField will be removed after Django 1.7 becomes unsupported.\", DeprecationWarning)\n\n if not HAS_UUID:\n raise ImproperlyConfigured(\"'uuid' module is required for UUIDField. (Do you have Python 2.5 or higher installed ?)\")\n kwargs.setdefault('max_length', self.DEFAULT_MAX_LENGTH)\n if auto:\n self.empty_strings_allowed = False\n kwargs['blank'] = True\n kwargs.setdefault('editable', False)\n self.auto = auto\n self.version = version\n self.node = node\n self.clock_seq = clock_seq\n self.namespace = namespace\n self.uuid_name = uuid_name or name\n super(UUIDField, self).__init__(verbose_name=verbose_name, *args, **kwargs)\n\n def create_uuid(self):\n if not self.version or self.version == 4:\n return uuid.uuid4()\n elif self.version == 1:\n return uuid.uuid1(self.node, self.clock_seq)\n elif self.version == 2:\n raise UUIDVersionError(\"UUID version 2 is not supported.\")\n elif self.version == 3:\n return uuid.uuid3(self.namespace, self.uuid_name)\n elif self.version == 5:\n return uuid.uuid5(self.namespace, self.uuid_name)\n else:\n raise UUIDVersionError(\"UUID version %s is not valid.\" % self.version)\n\n def pre_save(self, model_instance, add):\n value = super(UUIDField, self).pre_save(model_instance, add)\n if self.auto and add and value is None:\n value = force_text(self.create_uuid())\n setattr(model_instance, self.attname, value)\n return value\n else:\n if self.auto and not value:\n value = force_text(self.create_uuid())\n setattr(model_instance, self.attname, value)\n return value\n\n def formfield(self, **kwargs):\n if self.auto:\n return None\n return super(UUIDField, self).formfield(**kwargs)\n\n def deconstruct(self):\n name, path, args, kwargs = super(UUIDField, self).deconstruct()\n if kwargs.get('max_length', None) == self.DEFAULT_MAX_LENGTH:\n del kwargs['max_length']\n if self.auto is not True:\n kwargs['auto'] = self.auto\n if self.version != 4:\n kwargs['version'] = self.version\n if self.node is not None:\n kwargs['node'] = self.node\n if self.clock_seq is not None:\n kwargs['clock_seq'] = self.clock_seq\n if self.namespace is not None:\n kwargs['namespace'] = self.namespace\n if self.uuid_name is not None:\n kwargs['uuid_name'] = self.name\n return name, path, args, kwargs\n\n\nclass PostgreSQLUUIDField(UUIDField):\n def __init__(self, *args, **kwargs):\n warnings.warn(\"Django 1.8 features a native UUIDField, this UUIDField will be removed after Django 1.7 becomes unsupported.\", DeprecationWarning)\n super(PostgreSQLUUIDField, self).__init__(*args, **kwargs)\n\n def db_type(self, connection=None):\n return \"UUID\"\n\n def get_db_prep_value(self, value, connection, prepared=False):\n if isinstance(value, six.integer_types):\n value = uuid.UUID(int=value)\n elif isinstance(value, (six.string_types, six.binary_type)):\n if len(value) == 16:\n value = uuid.UUID(bytes=value)\n else:\n value = uuid.UUID(value)\n return super(PostgreSQLUUIDField, self).get_db_prep_value(\n value, connection, prepared=False)\n\n\nclass ShortUUIDField(UUIDField):\n \"\"\" ShortUUIDFied\n\n Generates concise (22 characters instead of 36), unambiguous, URL-safe UUIDs.\n\n Based on `shortuuid`: https://github.com/stochastic-technologies/shortuuid\n \"\"\"\n DEFAULT_MAX_LENGTH = 22\n\n def __init__(self, *args, **kwargs):\n super(ShortUUIDField, self).__init__(*args, **kwargs)\n if not HAS_SHORT_UUID:\n raise ImproperlyConfigured(\"'shortuuid' module is required for ShortUUIDField. (Do you have Python 2.5 or higher installed ?)\")\n kwargs.setdefault('max_length', self.DEFAULT_MAX_LENGTH)\n\n def create_uuid(self):\n if not self.version or self.version == 4:\n return shortuuid.uuid()\n elif self.version == 1:\n return shortuuid.uuid()\n elif self.version == 2:\n raise UUIDVersionError(\"UUID version 2 is not supported.\")\n elif self.version == 3:\n raise UUIDVersionError(\"UUID version 3 is not supported.\")\n elif self.version == 5:\n return shortuuid.uuid(name=self.namespace)\n else:\n raise UUIDVersionError(\"UUID version %s is not valid.\" % self.version)\n", "path": "django_extensions/db/fields/__init__.py" } ]
[ { "content": "# coding=utf-8\n\"\"\"\nDjango Extensions additional model fields\n\"\"\"\nimport re\nimport six\nimport string\nimport warnings\n\ntry:\n import uuid\n HAS_UUID = True\nexcept ImportError:\n HAS_UUID = False\n\ntry:\n import shortuuid\n HAS_SHORT_UUID = True\nexcept ImportError:\n HAS_SHORT_UUID = False\n\nfrom django.core.exceptions import ImproperlyConfigured\nfrom django.db.models import DateTimeField, CharField, SlugField\nfrom django.template.defaultfilters import slugify\nfrom django.utils.crypto import get_random_string\nfrom django.utils.encoding import force_text\n\n\nMAX_UNIQUE_QUERY_ATTEMPTS = 100\n\n\nclass UniqueFieldMixin(object):\n\n def check_is_bool(self, attrname):\n if not isinstance(getattr(self, attrname), bool):\n raise ValueError(\"'{}' argument must be True or False\".format(attrname))\n\n @staticmethod\n def _get_fields(model_cls):\n return [\n (f, f.model if f.model != model_cls else None) for f in model_cls._meta.get_fields()\n if not f.is_relation or f.one_to_one or (f.many_to_one and f.related_model)\n ]\n\n def get_queryset(self, model_cls, slug_field):\n for field, model in self._get_fields(model_cls):\n if model and field == slug_field:\n return model._default_manager.all()\n return model_cls._default_manager.all()\n\n def find_unique(self, model_instance, field, iterator, *args):\n # exclude the current model instance from the queryset used in finding\n # next valid hash\n queryset = self.get_queryset(model_instance.__class__, field)\n if model_instance.pk:\n queryset = queryset.exclude(pk=model_instance.pk)\n\n # form a kwarg dict used to impliment any unique_together contraints\n kwargs = {}\n for params in model_instance._meta.unique_together:\n if self.attname in params:\n for param in params:\n kwargs[param] = getattr(model_instance, param, None)\n\n new = six.next(iterator)\n kwargs[self.attname] = new\n while not new or queryset.filter(**kwargs):\n new = six.next(iterator)\n kwargs[self.attname] = new\n setattr(model_instance, self.attname, new)\n return new\n\n\nclass AutoSlugField(UniqueFieldMixin, SlugField):\n \"\"\" AutoSlugField\n\n By default, sets editable=False, blank=True.\n\n Required arguments:\n\n populate_from\n Specifies which field or list of fields the slug is populated from.\n\n Optional arguments:\n\n separator\n Defines the used separator (default: '-')\n\n overwrite\n If set to True, overwrites the slug on every save (default: False)\n\n Inspired by SmileyChris' Unique Slugify snippet:\n http://www.djangosnippets.org/snippets/690/\n \"\"\"\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('blank', True)\n kwargs.setdefault('editable', False)\n\n populate_from = kwargs.pop('populate_from', None)\n if populate_from is None:\n raise ValueError(\"missing 'populate_from' argument\")\n else:\n self._populate_from = populate_from\n\n self.slugify_function = kwargs.pop('slugify_function', slugify)\n self.separator = kwargs.pop('separator', six.u('-'))\n self.overwrite = kwargs.pop('overwrite', False)\n self.check_is_bool('overwrite')\n self.allow_duplicates = kwargs.pop('allow_duplicates', False)\n self.check_is_bool('allow_duplicates')\n super(AutoSlugField, self).__init__(*args, **kwargs)\n\n def _slug_strip(self, value):\n \"\"\"\n Cleans up a slug by removing slug separator characters that occur at\n the beginning or end of a slug.\n\n If an alternate separator is used, it will also replace any instances\n of the default '-' separator with the new separator.\n \"\"\"\n re_sep = '(?:-|%s)' % re.escape(self.separator)\n value = re.sub('%s+' % re_sep, self.separator, value)\n return re.sub(r'^%s+|%s+$' % (re_sep, re_sep), '', value)\n\n def slugify_func(self, content):\n if content:\n return self.slugify_function(content)\n return ''\n\n def slug_generator(self, original_slug, start):\n yield original_slug\n for i in range(start, MAX_UNIQUE_QUERY_ATTEMPTS):\n slug = original_slug\n end = '%s%s' % (self.separator, i)\n end_len = len(end)\n if self.slug_len and len(slug) + end_len > self.slug_len:\n slug = slug[:self.slug_len - end_len]\n slug = self._slug_strip(slug)\n slug = '%s%s' % (slug, end)\n yield slug\n raise RuntimeError('max slug attempts for %s exceeded (%s)' %\n (original_slug, MAX_UNIQUE_QUERY_ATTEMPTS))\n\n def create_slug(self, model_instance, add):\n # get fields to populate from and slug field to set\n if not isinstance(self._populate_from, (list, tuple)):\n self._populate_from = (self._populate_from, )\n slug_field = model_instance._meta.get_field(self.attname)\n\n if add or self.overwrite:\n # slugify the original field content and set next step to 2\n slug_for_field = lambda field: self.slugify_func(getattr(model_instance, field))\n slug = self.separator.join(map(slug_for_field, self._populate_from))\n start = 2\n else:\n # get slug from the current model instance\n slug = getattr(model_instance, self.attname)\n # model_instance is being modified, and overwrite is False,\n # so instead of doing anything, just return the current slug\n return slug\n\n # strip slug depending on max_length attribute of the slug field\n # and clean-up\n self.slug_len = slug_field.max_length\n if self.slug_len:\n slug = slug[:self.slug_len]\n slug = self._slug_strip(slug)\n original_slug = slug\n\n if self.allow_duplicates:\n setattr(model_instance, self.attname, slug)\n return slug\n\n return super(AutoSlugField, self).find_unique(\n model_instance, slug_field, self.slug_generator(original_slug, start))\n\n def pre_save(self, model_instance, add):\n value = force_text(self.create_slug(model_instance, add))\n return value\n\n def get_internal_type(self):\n return \"SlugField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(AutoSlugField, self).deconstruct()\n kwargs['populate_from'] = self._populate_from\n if not self.separator == six.u('-'):\n kwargs['separator'] = self.separator\n if self.overwrite is not False:\n kwargs['overwrite'] = True\n if self.allow_duplicates is not False:\n kwargs['allow_duplicates'] = True\n return name, path, args, kwargs\n\n\nclass RandomCharField(UniqueFieldMixin, CharField):\n \"\"\" RandomCharField\n\n By default, sets editable=False, blank=True, unique=False.\n\n Required arguments:\n\n length\n Specifies the length of the field\n\n Optional arguments:\n\n unique\n If set to True, duplicate entries are not allowed (default: False)\n\n lowercase\n If set to True, lowercase the alpha characters (default: False)\n\n uppercase\n If set to True, uppercase the alpha characters (default: False)\n\n include_alpha\n If set to True, include alpha characters (default: True)\n\n include_digits\n If set to True, include digit characters (default: True)\n\n include_punctuation\n If set to True, include punctuation characters (default: False)\n \"\"\"\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('blank', True)\n kwargs.setdefault('editable', False)\n\n self.length = kwargs.pop('length', None)\n if self.length is None:\n raise ValueError(\"missing 'length' argument\")\n kwargs['max_length'] = self.length\n\n self.lowercase = kwargs.pop('lowercase', False)\n self.check_is_bool('lowercase')\n self.uppercase = kwargs.pop('uppercase', False)\n self.check_is_bool('uppercase')\n if self.uppercase and self.lowercase:\n raise ValueError(\"the 'lowercase' and 'uppercase' arguments are mutually exclusive\")\n self.include_digits = kwargs.pop('include_digits', True)\n self.check_is_bool('include_digits')\n self.include_alpha = kwargs.pop('include_alpha', True)\n self.check_is_bool('include_alpha')\n self.include_punctuation = kwargs.pop('include_punctuation', False)\n self.check_is_bool('include_punctuation')\n\n # Set unique=False unless it's been set manually.\n if 'unique' not in kwargs:\n kwargs['unique'] = False\n\n super(RandomCharField, self).__init__(*args, **kwargs)\n\n def random_char_generator(self, chars):\n for i in range(MAX_UNIQUE_QUERY_ATTEMPTS):\n yield ''.join(get_random_string(self.length, chars))\n raise RuntimeError('max random character attempts exceeded (%s)' %\n MAX_UNIQUE_QUERY_ATTEMPTS)\n\n def pre_save(self, model_instance, add):\n if not add and getattr(model_instance, self.attname) != '':\n return getattr(model_instance, self.attname)\n\n population = ''\n if self.include_alpha:\n if self.lowercase:\n population += string.ascii_lowercase\n elif self.uppercase:\n population += string.ascii_uppercase\n else:\n population += string.ascii_letters\n\n if self.include_digits:\n population += string.digits\n\n if self.include_punctuation:\n population += string.punctuation\n\n random_chars = self.random_char_generator(population)\n if not self.unique:\n new = six.next(random_chars)\n setattr(model_instance, self.attname, new)\n return new\n\n return super(RandomCharField, self).find_unique(\n model_instance,\n model_instance._meta.get_field(self.attname),\n random_chars,\n )\n\n def internal_type(self):\n return \"CharField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(RandomCharField, self).deconstruct()\n kwargs['length'] = self.length\n del kwargs['max_length']\n if self.lowercase is True:\n kwargs['lowercase'] = self.lowercase\n if self.uppercase is True:\n kwargs['uppercase'] = self.uppercase\n if self.include_alpha is False:\n kwargs['include_alpha'] = self.include_alpha\n if self.include_digits is False:\n kwargs['include_digits'] = self.include_digits\n if self.include_punctuation is True:\n kwargs['include_punctuation'] = self.include_punctuation\n if self.unique is True:\n kwargs['unique'] = self.unique\n return name, path, args, kwargs\n\n\nclass CreationDateTimeField(DateTimeField):\n \"\"\" CreationDateTimeField\n\n By default, sets editable=False, blank=True, auto_now_add=True\n \"\"\"\n\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('editable', False)\n kwargs.setdefault('blank', True)\n kwargs.setdefault('auto_now_add', True)\n DateTimeField.__init__(self, *args, **kwargs)\n\n def get_internal_type(self):\n return \"DateTimeField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(CreationDateTimeField, self).deconstruct()\n if self.editable is not False:\n kwargs['editable'] = True\n if self.blank is not True:\n kwargs['blank'] = False\n if self.auto_now_add is not False:\n kwargs['auto_now_add'] = True\n return name, path, args, kwargs\n\n\nclass ModificationDateTimeField(CreationDateTimeField):\n \"\"\" ModificationDateTimeField\n\n By default, sets editable=False, blank=True, auto_now=True\n\n Sets value to now every time the object is saved.\n \"\"\"\n\n def __init__(self, *args, **kwargs):\n kwargs.setdefault('auto_now', True)\n DateTimeField.__init__(self, *args, **kwargs)\n\n def get_internal_type(self):\n return \"DateTimeField\"\n\n def deconstruct(self):\n name, path, args, kwargs = super(ModificationDateTimeField, self).deconstruct()\n if self.auto_now is not False:\n kwargs['auto_now'] = True\n return name, path, args, kwargs\n\n def pre_save(self, model_instance, add):\n if not getattr(model_instance, 'update_modified', True):\n return model_instance.modified\n return super(ModificationDateTimeField, self).pre_save(model_instance, add)\n\n\nclass UUIDVersionError(Exception):\n pass\n\n\nclass UUIDField(CharField):\n \"\"\" UUIDField\n\n By default uses UUID version 4 (randomly generated UUID).\n\n The field support all uuid versions which are natively supported by the uuid python module, except version 2.\n For more information see: http://docs.python.org/lib/module-uuid.html\n \"\"\"\n DEFAULT_MAX_LENGTH = 36\n\n def __init__(self, verbose_name=None, name=None, auto=True, version=4, node=None, clock_seq=None, namespace=None, uuid_name=None, *args, **kwargs):\n warnings.warn(\"Django 1.8 features a native UUIDField, this UUIDField will be removed after Django 1.7 becomes unsupported.\", DeprecationWarning)\n\n if not HAS_UUID:\n raise ImproperlyConfigured(\"'uuid' module is required for UUIDField. (Do you have Python 2.5 or higher installed ?)\")\n kwargs.setdefault('max_length', self.DEFAULT_MAX_LENGTH)\n if auto:\n self.empty_strings_allowed = False\n kwargs['blank'] = True\n kwargs.setdefault('editable', False)\n self.auto = auto\n self.version = version\n self.node = node\n self.clock_seq = clock_seq\n self.namespace = namespace\n self.uuid_name = uuid_name or name\n super(UUIDField, self).__init__(verbose_name=verbose_name, *args, **kwargs)\n\n def create_uuid(self):\n if not self.version or self.version == 4:\n return uuid.uuid4()\n elif self.version == 1:\n return uuid.uuid1(self.node, self.clock_seq)\n elif self.version == 2:\n raise UUIDVersionError(\"UUID version 2 is not supported.\")\n elif self.version == 3:\n return uuid.uuid3(self.namespace, self.uuid_name)\n elif self.version == 5:\n return uuid.uuid5(self.namespace, self.uuid_name)\n else:\n raise UUIDVersionError(\"UUID version %s is not valid.\" % self.version)\n\n def pre_save(self, model_instance, add):\n value = super(UUIDField, self).pre_save(model_instance, add)\n if self.auto and add and value is None:\n value = force_text(self.create_uuid())\n setattr(model_instance, self.attname, value)\n return value\n else:\n if self.auto and not value:\n value = force_text(self.create_uuid())\n setattr(model_instance, self.attname, value)\n return value\n\n def formfield(self, **kwargs):\n if self.auto:\n return None\n return super(UUIDField, self).formfield(**kwargs)\n\n def deconstruct(self):\n name, path, args, kwargs = super(UUIDField, self).deconstruct()\n if kwargs.get('max_length', None) == self.DEFAULT_MAX_LENGTH:\n del kwargs['max_length']\n if self.auto is not True:\n kwargs['auto'] = self.auto\n if self.version != 4:\n kwargs['version'] = self.version\n if self.node is not None:\n kwargs['node'] = self.node\n if self.clock_seq is not None:\n kwargs['clock_seq'] = self.clock_seq\n if self.namespace is not None:\n kwargs['namespace'] = self.namespace\n if self.uuid_name is not None:\n kwargs['uuid_name'] = self.name\n return name, path, args, kwargs\n\n\nclass PostgreSQLUUIDField(UUIDField):\n def __init__(self, *args, **kwargs):\n warnings.warn(\"Django 1.8 features a native UUIDField, this UUIDField will be removed after Django 1.7 becomes unsupported.\", DeprecationWarning)\n super(PostgreSQLUUIDField, self).__init__(*args, **kwargs)\n\n def db_type(self, connection=None):\n return \"UUID\"\n\n def get_db_prep_value(self, value, connection, prepared=False):\n if isinstance(value, six.integer_types):\n value = uuid.UUID(int=value)\n elif isinstance(value, (six.string_types, six.binary_type)):\n if len(value) == 16:\n value = uuid.UUID(bytes=value)\n else:\n value = uuid.UUID(value)\n return super(PostgreSQLUUIDField, self).get_db_prep_value(\n value, connection, prepared=False)\n\n\nclass ShortUUIDField(UUIDField):\n \"\"\" ShortUUIDFied\n\n Generates concise (22 characters instead of 36), unambiguous, URL-safe UUIDs.\n\n Based on `shortuuid`: https://github.com/stochastic-technologies/shortuuid\n \"\"\"\n DEFAULT_MAX_LENGTH = 22\n\n def __init__(self, *args, **kwargs):\n super(ShortUUIDField, self).__init__(*args, **kwargs)\n if not HAS_SHORT_UUID:\n raise ImproperlyConfigured(\"'shortuuid' module is required for ShortUUIDField. (Do you have Python 2.5 or higher installed ?)\")\n kwargs.setdefault('max_length', self.DEFAULT_MAX_LENGTH)\n\n def create_uuid(self):\n if not self.version or self.version == 4:\n return shortuuid.uuid()\n elif self.version == 1:\n return shortuuid.uuid()\n elif self.version == 2:\n raise UUIDVersionError(\"UUID version 2 is not supported.\")\n elif self.version == 3:\n raise UUIDVersionError(\"UUID version 3 is not supported.\")\n elif self.version == 5:\n return shortuuid.uuid(name=self.namespace)\n else:\n raise UUIDVersionError(\"UUID version %s is not valid.\" % self.version)\n", "path": "django_extensions/db/fields/__init__.py" } ]
diff --git a/django_extensions/db/fields/__init__.py b/django_extensions/db/fields/__init__.py index 371983c5d..2fa2cca45 100644 --- a/django_extensions/db/fields/__init__.py +++ b/django_extensions/db/fields/__init__.py @@ -168,6 +168,7 @@ def create_slug(self, model_instance, add): original_slug = slug if self.allow_duplicates: + setattr(model_instance, self.attname, slug) return slug return super(AutoSlugField, self).find_unique(
AutoSlugField doesn't populate model Using the AutoSlugField in the normal way (making a slug from a name). It seems the slug field doesn't get populated in python but only in the sql. Create a model and slug field is blank. Load the model from the database and the slug is populated. Means I can't use the new model to redirect to since the slug is empty.
Parsl__parsl-258
[ { "content": "import os\nfrom glob import glob\nimport logging\n\nlogger = logging.getLogger(__name__)\n\n\ndef make_rundir(config=None, path=None):\n \"\"\"When a path has not been specified, make the run directory.\n\n Creates a rundir with the following hierarchy:\n ./runinfo <- Home of all run directories\n |----000\n |----001 <- Directories for each run\n | ....\n |----NNN\n\n Kwargs:\n - path (str): String path to a specific run dir\n Default : None.\n \"\"\"\n try:\n if not path:\n path = None\n elif config[\"globals\"].get('runDir', None):\n path = config[\"globals\"]['runDir']\n\n if not path:\n path = \"./runinfo\"\n\n if not os.path.exists(path):\n os.makedirs(path)\n\n prev_rundirs = glob(os.path.join(path, \"[0-9]*\"))\n\n current_rundir = os.path.join(path, '000')\n\n if prev_rundirs:\n # Since we globbed on files named as 0-9\n x = sorted([int(os.path.basename(x)) for x in prev_rundirs])[-1]\n current_rundir = os.path.join(path, '{0:03}'.format(x + 1))\n\n os.makedirs(current_rundir)\n logger.debug(\"Parsl run initializing in rundir:{0}\".format(current_rundir))\n return os.path.abspath(current_rundir)\n\n except Exception as e:\n logger.error(\"Failed to create a run directory\")\n logger.error(\"Error: {0}\".format(e))\n exit(-1)\n", "path": "parsl/dataflow/rundirs.py" } ]
[ { "content": "import os\nfrom glob import glob\nimport logging\n\nlogger = logging.getLogger(__name__)\n\n\ndef make_rundir(config=None, path=None):\n \"\"\"When a path has not been specified, make the run directory.\n\n Creates a rundir with the following hierarchy:\n ./runinfo <- Home of all run directories\n |----000\n |----001 <- Directories for each run\n | ....\n |----NNN\n\n Kwargs:\n - path (str): String path to a specific run dir\n Default : None.\n \"\"\"\n try:\n if not path:\n path = None\n elif config.get(\"globals\", {}).get('runDir'):\n path = config[\"globals\"]['runDir']\n\n if not path:\n path = \"./runinfo\"\n\n if not os.path.exists(path):\n os.makedirs(path)\n\n prev_rundirs = glob(os.path.join(path, \"[0-9]*\"))\n\n current_rundir = os.path.join(path, '000')\n\n if prev_rundirs:\n # Since we globbed on files named as 0-9\n x = sorted([int(os.path.basename(x)) for x in prev_rundirs])[-1]\n current_rundir = os.path.join(path, '{0:03}'.format(x + 1))\n\n os.makedirs(current_rundir)\n logger.debug(\"Parsl run initializing in rundir:{0}\".format(current_rundir))\n return os.path.abspath(current_rundir)\n\n except Exception as e:\n logger.error(\"Failed to create a run directory\")\n logger.error(\"Error: {0}\".format(e))\n exit(-1)\n", "path": "parsl/dataflow/rundirs.py" } ]
diff --git a/parsl/dataflow/rundirs.py b/parsl/dataflow/rundirs.py index d90df8574e..2e72758522 100644 --- a/parsl/dataflow/rundirs.py +++ b/parsl/dataflow/rundirs.py @@ -22,7 +22,7 @@ def make_rundir(config=None, path=None): try: if not path: path = None - elif config["globals"].get('runDir', None): + elif config.get("globals", {}).get('runDir'): path = config["globals"]['runDir'] if not path:
`globals` should be an optional config field Running over a config without `globals`, I see: ``` def make_rundir(config=None, path=None): """When a path has not been specified, make the run directory. Creates a rundir with the following hierarchy: ./runinfo <- Home of all run directories |----000 |----001 <- Directories for each run | .... |----NNN Kwargs: - path (str): String path to a specific run dir Default : None. """ try: if not path: path = None > elif config["globals"].get('runDir', None): E KeyError: 'globals' ../dataflow/rundirs.py:25: KeyError ```
liqd__a4-product-1090
[ { "content": "from allauth.socialaccount.adapter import get_adapter\nfrom allauth.utils import email_address_exists\nfrom django import forms\nfrom django.contrib.auth import forms as auth_forms\nfrom django.contrib.auth import get_user_model\nfrom django.utils.translation import ugettext_lazy as _\n\nUser = get_user_model()\n\n\nclass TermsSignupForm(auth_forms.UserCreationForm):\n terms_of_use = forms.BooleanField(label=_('Terms of use'), error_messages={\n 'required': _('Please accept the terms of use.')\n })\n\n def signup(self, request, user):\n user.signup(\n self.cleaned_data['username'],\n self.cleaned_data['email'],\n )\n\n class Meta:\n model = User\n fields = ('email', 'username', 'password1', 'password2',\n 'terms_of_use', 'get_newsletters')\n\n# Tried to add form as described in allauth documentation:\n# https://django-allauth.readthedocs.io/en/latest/forms.html#socialaccount-forms\n# ran into the following error:\n# https://stackoverflow.com/questions/57254251/custom-form-with-socialaccount-in-django-allauth\n# added this solution, maybe not the best\n\n\nclass SignupForm(forms.Form):\n terms_of_use = forms.BooleanField(label=_('Terms of use'), error_messages={\n 'required': _('Please accept the terms of use.')\n })\n get_newsletters = forms.BooleanField(\n label=_('Send me newsletters'), required=False)\n email = forms.EmailField(widget=forms.HiddenInput())\n username = forms.CharField(widget=forms.HiddenInput())\n\n def __init__(self, *args, **kwargs):\n self.sociallogin = kwargs.pop('sociallogin')\n initial = get_adapter().get_signup_form_initial_data(\n self.sociallogin)\n kwargs.update({\n 'initial': initial})\n super().__init__(*args, **kwargs)\n\n def save(self, request):\n adapter = get_adapter(request)\n user = adapter.save_user(request, self.sociallogin, form=self)\n user.get_newsletters = self.cleaned_data['get_newsletters']\n user.save()\n user.signup(\n user.username,\n user.email\n )\n return user\n\n def clean(self):\n email = self.cleaned_data['email']\n if email_address_exists(email):\n raise forms.ValidationError(\n get_adapter().error_messages['email_taken']\n % self.sociallogin.account.get_provider().name)\n return super().clean()\n", "path": "apps/users/forms.py" } ]
[ { "content": "from allauth.socialaccount.adapter import get_adapter\nfrom allauth.utils import email_address_exists\nfrom django import forms\nfrom django.contrib.auth import forms as auth_forms\nfrom django.contrib.auth import get_user_model\nfrom django.utils.translation import ugettext_lazy as _\n\nUser = get_user_model()\n\n\nclass TermsSignupForm(auth_forms.UserCreationForm):\n terms_of_use = forms.BooleanField(label=_('Terms of use'), error_messages={\n 'required': _('Please accept the terms of use.')\n })\n\n def signup(self, request, user):\n user.get_newsletters = self.cleaned_data[\"get_newsletters\"]\n user.signup(\n self.cleaned_data['username'],\n self.cleaned_data['email'],\n )\n\n class Meta:\n model = User\n fields = ('email', 'username', 'password1', 'password2',\n 'terms_of_use', 'get_newsletters')\n\n# Tried to add form as described in allauth documentation:\n# https://django-allauth.readthedocs.io/en/latest/forms.html#socialaccount-forms\n# ran into the following error:\n# https://stackoverflow.com/questions/57254251/custom-form-with-socialaccount-in-django-allauth\n# added this solution, maybe not the best\n\n\nclass SignupForm(forms.Form):\n terms_of_use = forms.BooleanField(label=_('Terms of use'), error_messages={\n 'required': _('Please accept the terms of use.')\n })\n get_newsletters = forms.BooleanField(\n label=_('Send me newsletters'), required=False)\n email = forms.EmailField(widget=forms.HiddenInput())\n username = forms.CharField(widget=forms.HiddenInput())\n\n def __init__(self, *args, **kwargs):\n self.sociallogin = kwargs.pop('sociallogin')\n initial = get_adapter().get_signup_form_initial_data(\n self.sociallogin)\n kwargs.update({\n 'initial': initial})\n super().__init__(*args, **kwargs)\n\n def save(self, request):\n adapter = get_adapter(request)\n user = adapter.save_user(request, self.sociallogin, form=self)\n user.get_newsletters = self.cleaned_data['get_newsletters']\n user.save()\n user.signup(\n user.username,\n user.email\n )\n return user\n\n def clean(self):\n email = self.cleaned_data['email']\n if email_address_exists(email):\n raise forms.ValidationError(\n get_adapter().error_messages['email_taken']\n % self.sociallogin.account.get_provider().name)\n return super().clean()\n", "path": "apps/users/forms.py" } ]
diff --git a/apps/users/forms.py b/apps/users/forms.py index d413a2bed..634313b2d 100644 --- a/apps/users/forms.py +++ b/apps/users/forms.py @@ -14,6 +14,7 @@ class TermsSignupForm(auth_forms.UserCreationForm): }) def signup(self, request, user): + user.get_newsletters = self.cleaned_data["get_newsletters"] user.signup( self.cleaned_data['username'], self.cleaned_data['email'],
get_newsletters during normal register is broken If checked, the user still has get_newsletters = False. But when changed in the account settings, it's changed.
ivy-llc__ivy-19536
[ { "content": "from typing import Optional, Union, Tuple, List\nimport numpy as np\nimport numpy.typing as npt\n\nimport ivy\nfrom ivy import promote_types_of_inputs\nfrom ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array\nfrom ivy.func_wrapper import with_unsupported_dtypes\nfrom . import backend_version\n\n\n@_scalar_output_to_0d_array\n@with_unsupported_dtypes({\"1.25.1 and below\": (\"bfloat16\",)}, backend_version)\ndef sinc(x: np.ndarray, /, *, out: Optional[np.ndarray] = None) -> np.ndarray:\n return np.sinc(x).astype(x.dtype)\n\n\n@_scalar_output_to_0d_array\ndef fmax(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n x1, x2 = promote_types_of_inputs(x1, x2)\n return np.fmax(\n x1,\n x2,\n out=None,\n where=True,\n casting=\"same_kind\",\n order=\"K\",\n dtype=None,\n subok=True,\n )\n\n\nfmax.support_native_out = True\n\n\n@_scalar_output_to_0d_array\ndef float_power(\n x1: Union[np.ndarray, float, list, tuple],\n x2: Union[np.ndarray, float, list, tuple],\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n x1, x2 = promote_types_of_inputs(x1, x2)\n return np.float_power(x1, x2, out=out)\n\n\nfloat_power.support_native_out = True\n\n\n@_scalar_output_to_0d_array\ndef copysign(\n x1: npt.ArrayLike,\n x2: npt.ArrayLike,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n x1, x2 = promote_types_of_inputs(x1, x2)\n if not ivy.is_float_dtype(x1):\n x1 = x1.astype(ivy.default_float_dtype(as_native=True))\n x2 = x2.astype(ivy.default_float_dtype(as_native=True))\n return np.copysign(x1, x2, out=out)\n\n\ncopysign.support_native_out = True\n\n\n@_scalar_output_to_0d_array\ndef count_nonzero(\n a: np.ndarray,\n /,\n *,\n axis: Optional[Union[int, Tuple[int, ...]]] = None,\n keepdims: bool = False,\n dtype: Optional[np.dtype] = None,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n if isinstance(axis, list):\n axis = tuple(axis)\n ret = np.count_nonzero(a, axis=axis, keepdims=keepdims)\n if np.isscalar(ret):\n return np.array(ret, dtype=dtype)\n return ret.astype(dtype)\n\n\ncount_nonzero.support_native_out = False\n\n\ndef nansum(\n x: np.ndarray,\n /,\n *,\n axis: Optional[Union[Tuple[int, ...], int]] = None,\n dtype: Optional[np.dtype] = None,\n keepdims: bool = False,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n if isinstance(axis, list):\n axis = tuple(axis)\n return np.nansum(x, axis=axis, dtype=dtype, keepdims=keepdims, out=out)\n\n\nnansum.support_native_out = True\n\n\ndef isclose(\n a: np.ndarray,\n b: np.ndarray,\n /,\n *,\n rtol: float = 1e-05,\n atol: float = 1e-08,\n equal_nan: bool = False,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n ret = np.isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan)\n if np.isscalar(ret):\n return np.array(ret, dtype=\"bool\")\n return ret\n\n\nisclose.support_native_out = False\n\n\ndef signbit(\n x: Union[np.ndarray, float, int, list, tuple],\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.signbit(x, out=out)\n\n\nsignbit.support_native_out = True\n\n\ndef hypot(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.hypot(x1, x2)\n\n\ndef diff(\n x: Union[np.ndarray, list, tuple],\n /,\n *,\n n: int = 1,\n axis: int = -1,\n prepend: Optional[Union[np.ndarray, int, float, list, tuple]] = None,\n append: Optional[Union[np.ndarray, int, float, list, tuple]] = None,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n prepend = prepend if prepend is not None else np._NoValue\n append = append if append is not None else np._NoValue\n return np.diff(x, n=n, axis=axis, prepend=prepend, append=append)\n\n\ndiff.support_native_out = False\n\n\n@_scalar_output_to_0d_array\ndef allclose(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n rtol: float = 1e-05,\n atol: float = 1e-08,\n equal_nan: bool = False,\n out: Optional[np.ndarray] = None,\n) -> bool:\n return np.allclose(x1, x2, rtol=rtol, atol=atol, equal_nan=equal_nan)\n\n\nallclose.support_native_out = False\n\n\ndef fix(\n x: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.fix(x, out=out)\n\n\nfix.support_native_out = True\n\n\ndef nextafter(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.nextafter(x1, x2)\n\n\nnextafter.support_natvie_out = True\n\n\ndef zeta(\n x: np.ndarray,\n q: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n temp = np.logical_and(np.greater(x, 0), np.equal(np.remainder(x, 2), 0))\n temp = np.logical_and(temp, np.less_equal(q, 0))\n temp = np.logical_and(temp, np.equal(np.remainder(q, 1), 0))\n inf_indices = np.logical_or(temp, np.equal(x, 1))\n temp = np.logical_and(np.not_equal(np.remainder(x, 2), 0), np.greater(x, 1))\n temp = np.logical_and(temp, np.less_equal(q, 0))\n nan_indices = np.logical_or(temp, np.less(x, 1))\n n, res = 1, 1 / q**x\n while n < 10000:\n term = 1 / (q + n) ** x\n n, res = n + 1, res + term\n ret = np.round(res, decimals=4)\n ret[nan_indices] = np.nan\n ret[inf_indices] = np.inf\n return ret\n\n\nzeta.support_native_out = False\n\n\ndef gradient(\n x: np.ndarray,\n /,\n *,\n spacing: Union[int, list, tuple] = 1,\n axis: Optional[Union[int, list, tuple]] = None,\n edge_order: int = 1,\n) -> Union[np.ndarray, List[np.ndarray]]:\n if type(spacing) in (int, float):\n return np.gradient(x, spacing, axis=axis, edge_order=edge_order)\n return np.gradient(x, *spacing, axis=axis, edge_order=edge_order)\n\n\ndef xlogy(\n x: np.ndarray, y: np.ndarray, /, *, out: Optional[np.ndarray] = None\n) -> np.ndarray:\n x, y = promote_types_of_inputs(x, y)\n if (x == 0).all():\n return 0.0\n else:\n return x * np.log(y)\n\n\ndef conj(\n x: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n ret = np.conj(x, out=out)\n if x.dtype == np.bool:\n return ret.astype(\"bool\")\n return ret\n\n\ndef ldexp(\n x1: np.ndarray,\n x2: Union[np.ndarray, int, list, tuple],\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.ldexp(x1, x2, out=out)\n\n\ndef frexp(\n x: np.ndarray, /, *, out: Optional[Tuple[np.ndarray, np.ndarray]] = None\n) -> Tuple[np.ndarray, np.ndarray]:\n if out is None:\n return np.frexp(x, out=(None, None))\n else:\n return np.frexp(x, out=out)\n\n\ndef modf(\n x: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.modf(x, out=out)\n", "path": "ivy/functional/backends/numpy/experimental/elementwise.py" } ]
[ { "content": "from typing import Optional, Union, Tuple, List\nimport numpy as np\nimport numpy.typing as npt\n\nimport ivy\nfrom ivy import promote_types_of_inputs\nfrom ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array\nfrom ivy.func_wrapper import with_unsupported_dtypes\nfrom . import backend_version\n\n\n@_scalar_output_to_0d_array\n@with_unsupported_dtypes({\"1.25.1 and below\": (\"bfloat16\",)}, backend_version)\ndef sinc(x: np.ndarray, /, *, out: Optional[np.ndarray] = None) -> np.ndarray:\n return np.sinc(x).astype(x.dtype)\n\n\n@_scalar_output_to_0d_array\ndef fmax(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n x1, x2 = promote_types_of_inputs(x1, x2)\n return np.fmax(\n x1,\n x2,\n out=None,\n where=True,\n casting=\"same_kind\",\n order=\"K\",\n dtype=None,\n subok=True,\n )\n\n\nfmax.support_native_out = True\n\n\n@_scalar_output_to_0d_array\ndef float_power(\n x1: Union[np.ndarray, float, list, tuple],\n x2: Union[np.ndarray, float, list, tuple],\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n x1, x2 = promote_types_of_inputs(x1, x2)\n return np.float_power(x1, x2, out=out)\n\n\nfloat_power.support_native_out = True\n\n\n@_scalar_output_to_0d_array\ndef copysign(\n x1: npt.ArrayLike,\n x2: npt.ArrayLike,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n x1, x2 = promote_types_of_inputs(x1, x2)\n if not ivy.is_float_dtype(x1):\n x1 = x1.astype(ivy.default_float_dtype(as_native=True))\n x2 = x2.astype(ivy.default_float_dtype(as_native=True))\n return np.copysign(x1, x2, out=out)\n\n\ncopysign.support_native_out = True\n\n\n@_scalar_output_to_0d_array\ndef count_nonzero(\n a: np.ndarray,\n /,\n *,\n axis: Optional[Union[int, Tuple[int, ...]]] = None,\n keepdims: bool = False,\n dtype: Optional[np.dtype] = None,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n if isinstance(axis, list):\n axis = tuple(axis)\n ret = np.count_nonzero(a, axis=axis, keepdims=keepdims)\n if np.isscalar(ret):\n return np.array(ret, dtype=dtype)\n return ret.astype(dtype)\n\n\ncount_nonzero.support_native_out = False\n\n\ndef nansum(\n x: np.ndarray,\n /,\n *,\n axis: Optional[Union[Tuple[int, ...], int]] = None,\n dtype: Optional[np.dtype] = None,\n keepdims: bool = False,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n if isinstance(axis, list):\n axis = tuple(axis)\n return np.nansum(x, axis=axis, dtype=dtype, keepdims=keepdims, out=out)\n\n\nnansum.support_native_out = True\n\n\ndef isclose(\n a: np.ndarray,\n b: np.ndarray,\n /,\n *,\n rtol: float = 1e-05,\n atol: float = 1e-08,\n equal_nan: bool = False,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n ret = np.isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan)\n if np.isscalar(ret):\n return np.array(ret, dtype=\"bool\")\n return ret\n\n\nisclose.support_native_out = False\n\n\ndef signbit(\n x: Union[np.ndarray, float, int, list, tuple],\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.signbit(x, out=out)\n\n\nsignbit.support_native_out = True\n\n\ndef hypot(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.hypot(x1, x2)\n\n\ndef diff(\n x: Union[np.ndarray, list, tuple],\n /,\n *,\n n: int = 1,\n axis: int = -1,\n prepend: Optional[Union[np.ndarray, int, float, list, tuple]] = None,\n append: Optional[Union[np.ndarray, int, float, list, tuple]] = None,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n prepend = prepend if prepend is not None else np._NoValue\n append = append if append is not None else np._NoValue\n return np.diff(x, n=n, axis=axis, prepend=prepend, append=append)\n\n\ndiff.support_native_out = False\n\n\n@_scalar_output_to_0d_array\ndef allclose(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n rtol: float = 1e-05,\n atol: float = 1e-08,\n equal_nan: bool = False,\n out: Optional[np.ndarray] = None,\n) -> bool:\n return np.allclose(x1, x2, rtol=rtol, atol=atol, equal_nan=equal_nan)\n\n\nallclose.support_native_out = False\n\n\ndef fix(\n x: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.fix(x, out=out)\n\n\nfix.support_native_out = True\n\n\ndef nextafter(\n x1: np.ndarray,\n x2: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.nextafter(x1, x2)\n\n\nnextafter.support_natvie_out = True\n\n\ndef zeta(\n x: np.ndarray,\n q: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n temp = np.logical_and(np.greater(x, 0), np.equal(np.remainder(x, 2), 0))\n temp = np.logical_and(temp, np.less_equal(q, 0))\n temp = np.logical_and(temp, np.equal(np.remainder(q, 1), 0))\n inf_indices = np.logical_or(temp, np.equal(x, 1))\n temp = np.logical_and(np.not_equal(np.remainder(x, 2), 0), np.greater(x, 1))\n temp = np.logical_and(temp, np.less_equal(q, 0))\n nan_indices = np.logical_or(temp, np.less(x, 1))\n n, res = 1, 1 / q**x\n while n < 10000:\n term = 1 / (q + n) ** x\n n, res = n + 1, res + term\n ret = np.round(res, decimals=4)\n ret[nan_indices] = np.nan\n ret[inf_indices] = np.inf\n return ret\n\n\nzeta.support_native_out = False\n\n\ndef gradient(\n x: np.ndarray,\n /,\n *,\n spacing: Union[int, list, tuple] = 1,\n axis: Optional[Union[int, list, tuple]] = None,\n edge_order: int = 1,\n) -> Union[np.ndarray, List[np.ndarray]]:\n if type(spacing) in (int, float):\n return np.gradient(x, spacing, axis=axis, edge_order=edge_order)\n return np.gradient(x, *spacing, axis=axis, edge_order=edge_order)\n\n\ndef xlogy(\n x: np.ndarray, y: np.ndarray, /, *, out: Optional[np.ndarray] = None\n) -> np.ndarray:\n x, y = promote_types_of_inputs(x, y)\n if (x == 0).all():\n return 0.0\n else:\n return x * np.log(y)\n\n\ndef conj(\n x: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n ret = np.conj(x, out=out)\n if x.dtype == bool:\n return ret.astype(\"bool\")\n return ret\n\n\ndef ldexp(\n x1: np.ndarray,\n x2: Union[np.ndarray, int, list, tuple],\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.ldexp(x1, x2, out=out)\n\n\ndef frexp(\n x: np.ndarray, /, *, out: Optional[Tuple[np.ndarray, np.ndarray]] = None\n) -> Tuple[np.ndarray, np.ndarray]:\n if out is None:\n return np.frexp(x, out=(None, None))\n else:\n return np.frexp(x, out=out)\n\n\ndef modf(\n x: np.ndarray,\n /,\n *,\n out: Optional[np.ndarray] = None,\n) -> np.ndarray:\n return np.modf(x, out=out)\n", "path": "ivy/functional/backends/numpy/experimental/elementwise.py" } ]
diff --git a/ivy/functional/backends/numpy/experimental/elementwise.py b/ivy/functional/backends/numpy/experimental/elementwise.py index 06c7bd29748ba..9dd029e045b8b 100644 --- a/ivy/functional/backends/numpy/experimental/elementwise.py +++ b/ivy/functional/backends/numpy/experimental/elementwise.py @@ -268,7 +268,7 @@ def conj( out: Optional[np.ndarray] = None, ) -> np.ndarray: ret = np.conj(x, out=out) - if x.dtype == np.bool: + if x.dtype == bool: return ret.astype("bool") return ret
Fix paddle_math.test_paddle_conj | | | |---|---| |numpy|<a href="https://github.com/unifyai/ivy/actions/runs/6197499538/job/16826154279"><img src=https://img.shields.io/badge/-failure-red></a> |jax|<a href="https://github.com/unifyai/ivy/actions/runs/6197499538/job/16826154279"><img src=https://img.shields.io/badge/-failure-red></a> |tensorflow|<a href="https://github.com/unifyai/ivy/actions/runs/6197499538/job/16826154279"><img src=https://img.shields.io/badge/-failure-red></a> |torch|<a href="https://github.com/unifyai/ivy/actions/runs/6197499538/job/16826154279"><img src=https://img.shields.io/badge/-failure-red></a> |paddle|<a href="https://github.com/unifyai/ivy/actions/runs/6197499538/job/16826154279"><img src=https://img.shields.io/badge/-success-success></a>
open-mmlab__mmdetection-7797
[ { "content": "# Copyright (c) OpenMMLab. All rights reserved.\nimport warnings\n\nimport torch.nn as nn\nimport torch.utils.checkpoint as cp\nfrom mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer\nfrom mmcv.runner import BaseModule\nfrom torch.nn.modules.batchnorm import _BatchNorm\n\nfrom ..builder import BACKBONES\nfrom ..utils import ResLayer\n\n\nclass BasicBlock(BaseModule):\n expansion = 1\n\n def __init__(self,\n inplanes,\n planes,\n stride=1,\n dilation=1,\n downsample=None,\n style='pytorch',\n with_cp=False,\n conv_cfg=None,\n norm_cfg=dict(type='BN'),\n dcn=None,\n plugins=None,\n init_cfg=None):\n super(BasicBlock, self).__init__(init_cfg)\n assert dcn is None, 'Not implemented yet.'\n assert plugins is None, 'Not implemented yet.'\n\n self.norm1_name, norm1 = build_norm_layer(norm_cfg, planes, postfix=1)\n self.norm2_name, norm2 = build_norm_layer(norm_cfg, planes, postfix=2)\n\n self.conv1 = build_conv_layer(\n conv_cfg,\n inplanes,\n planes,\n 3,\n stride=stride,\n padding=dilation,\n dilation=dilation,\n bias=False)\n self.add_module(self.norm1_name, norm1)\n self.conv2 = build_conv_layer(\n conv_cfg, planes, planes, 3, padding=1, bias=False)\n self.add_module(self.norm2_name, norm2)\n\n self.relu = nn.ReLU(inplace=True)\n self.downsample = downsample\n self.stride = stride\n self.dilation = dilation\n self.with_cp = with_cp\n\n @property\n def norm1(self):\n \"\"\"nn.Module: normalization layer after the first convolution layer\"\"\"\n return getattr(self, self.norm1_name)\n\n @property\n def norm2(self):\n \"\"\"nn.Module: normalization layer after the second convolution layer\"\"\"\n return getattr(self, self.norm2_name)\n\n def forward(self, x):\n \"\"\"Forward function.\"\"\"\n\n def _inner_forward(x):\n identity = x\n\n out = self.conv1(x)\n out = self.norm1(out)\n out = self.relu(out)\n\n out = self.conv2(out)\n out = self.norm2(out)\n\n if self.downsample is not None:\n identity = self.downsample(x)\n\n out += identity\n\n return out\n\n if self.with_cp and x.requires_grad:\n out = cp.checkpoint(_inner_forward, x)\n else:\n out = _inner_forward(x)\n\n out = self.relu(out)\n\n return out\n\n\nclass Bottleneck(BaseModule):\n expansion = 4\n\n def __init__(self,\n inplanes,\n planes,\n stride=1,\n dilation=1,\n downsample=None,\n style='pytorch',\n with_cp=False,\n conv_cfg=None,\n norm_cfg=dict(type='BN'),\n dcn=None,\n plugins=None,\n init_cfg=None):\n \"\"\"Bottleneck block for ResNet.\n\n If style is \"pytorch\", the stride-two layer is the 3x3 conv layer, if\n it is \"caffe\", the stride-two layer is the first 1x1 conv layer.\n \"\"\"\n super(Bottleneck, self).__init__(init_cfg)\n assert style in ['pytorch', 'caffe']\n assert dcn is None or isinstance(dcn, dict)\n assert plugins is None or isinstance(plugins, list)\n if plugins is not None:\n allowed_position = ['after_conv1', 'after_conv2', 'after_conv3']\n assert all(p['position'] in allowed_position for p in plugins)\n\n self.inplanes = inplanes\n self.planes = planes\n self.stride = stride\n self.dilation = dilation\n self.style = style\n self.with_cp = with_cp\n self.conv_cfg = conv_cfg\n self.norm_cfg = norm_cfg\n self.dcn = dcn\n self.with_dcn = dcn is not None\n self.plugins = plugins\n self.with_plugins = plugins is not None\n\n if self.with_plugins:\n # collect plugins for conv1/conv2/conv3\n self.after_conv1_plugins = [\n plugin['cfg'] for plugin in plugins\n if plugin['position'] == 'after_conv1'\n ]\n self.after_conv2_plugins = [\n plugin['cfg'] for plugin in plugins\n if plugin['position'] == 'after_conv2'\n ]\n self.after_conv3_plugins = [\n plugin['cfg'] for plugin in plugins\n if plugin['position'] == 'after_conv3'\n ]\n\n if self.style == 'pytorch':\n self.conv1_stride = 1\n self.conv2_stride = stride\n else:\n self.conv1_stride = stride\n self.conv2_stride = 1\n\n self.norm1_name, norm1 = build_norm_layer(norm_cfg, planes, postfix=1)\n self.norm2_name, norm2 = build_norm_layer(norm_cfg, planes, postfix=2)\n self.norm3_name, norm3 = build_norm_layer(\n norm_cfg, planes * self.expansion, postfix=3)\n\n self.conv1 = build_conv_layer(\n conv_cfg,\n inplanes,\n planes,\n kernel_size=1,\n stride=self.conv1_stride,\n bias=False)\n self.add_module(self.norm1_name, norm1)\n fallback_on_stride = False\n if self.with_dcn:\n fallback_on_stride = dcn.pop('fallback_on_stride', False)\n if not self.with_dcn or fallback_on_stride:\n self.conv2 = build_conv_layer(\n conv_cfg,\n planes,\n planes,\n kernel_size=3,\n stride=self.conv2_stride,\n padding=dilation,\n dilation=dilation,\n bias=False)\n else:\n assert self.conv_cfg is None, 'conv_cfg must be None for DCN'\n self.conv2 = build_conv_layer(\n dcn,\n planes,\n planes,\n kernel_size=3,\n stride=self.conv2_stride,\n padding=dilation,\n dilation=dilation,\n bias=False)\n\n self.add_module(self.norm2_name, norm2)\n self.conv3 = build_conv_layer(\n conv_cfg,\n planes,\n planes * self.expansion,\n kernel_size=1,\n bias=False)\n self.add_module(self.norm3_name, norm3)\n\n self.relu = nn.ReLU(inplace=True)\n self.downsample = downsample\n\n if self.with_plugins:\n self.after_conv1_plugin_names = self.make_block_plugins(\n planes, self.after_conv1_plugins)\n self.after_conv2_plugin_names = self.make_block_plugins(\n planes, self.after_conv2_plugins)\n self.after_conv3_plugin_names = self.make_block_plugins(\n planes * self.expansion, self.after_conv3_plugins)\n\n def make_block_plugins(self, in_channels, plugins):\n \"\"\"make plugins for block.\n\n Args:\n in_channels (int): Input channels of plugin.\n plugins (list[dict]): List of plugins cfg to build.\n\n Returns:\n list[str]: List of the names of plugin.\n \"\"\"\n assert isinstance(plugins, list)\n plugin_names = []\n for plugin in plugins:\n plugin = plugin.copy()\n name, layer = build_plugin_layer(\n plugin,\n in_channels=in_channels,\n postfix=plugin.pop('postfix', ''))\n assert not hasattr(self, name), f'duplicate plugin {name}'\n self.add_module(name, layer)\n plugin_names.append(name)\n return plugin_names\n\n def forward_plugin(self, x, plugin_names):\n out = x\n for name in plugin_names:\n out = getattr(self, name)(x)\n return out\n\n @property\n def norm1(self):\n \"\"\"nn.Module: normalization layer after the first convolution layer\"\"\"\n return getattr(self, self.norm1_name)\n\n @property\n def norm2(self):\n \"\"\"nn.Module: normalization layer after the second convolution layer\"\"\"\n return getattr(self, self.norm2_name)\n\n @property\n def norm3(self):\n \"\"\"nn.Module: normalization layer after the third convolution layer\"\"\"\n return getattr(self, self.norm3_name)\n\n def forward(self, x):\n \"\"\"Forward function.\"\"\"\n\n def _inner_forward(x):\n identity = x\n out = self.conv1(x)\n out = self.norm1(out)\n out = self.relu(out)\n\n if self.with_plugins:\n out = self.forward_plugin(out, self.after_conv1_plugin_names)\n\n out = self.conv2(out)\n out = self.norm2(out)\n out = self.relu(out)\n\n if self.with_plugins:\n out = self.forward_plugin(out, self.after_conv2_plugin_names)\n\n out = self.conv3(out)\n out = self.norm3(out)\n\n if self.with_plugins:\n out = self.forward_plugin(out, self.after_conv3_plugin_names)\n\n if self.downsample is not None:\n identity = self.downsample(x)\n\n out += identity\n\n return out\n\n if self.with_cp and x.requires_grad:\n out = cp.checkpoint(_inner_forward, x)\n else:\n out = _inner_forward(x)\n\n out = self.relu(out)\n\n return out\n\n\[email protected]_module()\nclass ResNet(BaseModule):\n \"\"\"ResNet backbone.\n\n Args:\n depth (int): Depth of resnet, from {18, 34, 50, 101, 152}.\n stem_channels (int | None): Number of stem channels. If not specified,\n it will be the same as `base_channels`. Default: None.\n base_channels (int): Number of base channels of res layer. Default: 64.\n in_channels (int): Number of input image channels. Default: 3.\n num_stages (int): Resnet stages. Default: 4.\n strides (Sequence[int]): Strides of the first block of each stage.\n dilations (Sequence[int]): Dilation of each stage.\n out_indices (Sequence[int]): Output from which stages.\n style (str): `pytorch` or `caffe`. If set to \"pytorch\", the stride-two\n layer is the 3x3 conv layer, otherwise the stride-two layer is\n the first 1x1 conv layer.\n deep_stem (bool): Replace 7x7 conv in input stem with 3 3x3 conv\n avg_down (bool): Use AvgPool instead of stride conv when\n downsampling in the bottleneck.\n frozen_stages (int): Stages to be frozen (stop grad and set eval mode).\n -1 means not freezing any parameters.\n norm_cfg (dict): Dictionary to construct and config norm layer.\n norm_eval (bool): Whether to set norm layers to eval mode, namely,\n freeze running stats (mean and var). Note: Effect on Batch Norm\n and its variants only.\n plugins (list[dict]): List of plugins for stages, each dict contains:\n\n - cfg (dict, required): Cfg dict to build plugin.\n - position (str, required): Position inside block to insert\n plugin, options are 'after_conv1', 'after_conv2', 'after_conv3'.\n - stages (tuple[bool], optional): Stages to apply plugin, length\n should be same as 'num_stages'.\n with_cp (bool): Use checkpoint or not. Using checkpoint will save some\n memory while slowing down the training speed.\n zero_init_residual (bool): Whether to use zero init for last norm layer\n in resblocks to let them behave as identity.\n pretrained (str, optional): model pretrained path. Default: None\n init_cfg (dict or list[dict], optional): Initialization config dict.\n Default: None\n\n Example:\n >>> from mmdet.models import ResNet\n >>> import torch\n >>> self = ResNet(depth=18)\n >>> self.eval()\n >>> inputs = torch.rand(1, 3, 32, 32)\n >>> level_outputs = self.forward(inputs)\n >>> for level_out in level_outputs:\n ... print(tuple(level_out.shape))\n (1, 64, 8, 8)\n (1, 128, 4, 4)\n (1, 256, 2, 2)\n (1, 512, 1, 1)\n \"\"\"\n\n arch_settings = {\n 18: (BasicBlock, (2, 2, 2, 2)),\n 34: (BasicBlock, (3, 4, 6, 3)),\n 50: (Bottleneck, (3, 4, 6, 3)),\n 101: (Bottleneck, (3, 4, 23, 3)),\n 152: (Bottleneck, (3, 8, 36, 3))\n }\n\n def __init__(self,\n depth,\n in_channels=3,\n stem_channels=None,\n base_channels=64,\n num_stages=4,\n strides=(1, 2, 2, 2),\n dilations=(1, 1, 1, 1),\n out_indices=(0, 1, 2, 3),\n style='pytorch',\n deep_stem=False,\n avg_down=False,\n frozen_stages=-1,\n conv_cfg=None,\n norm_cfg=dict(type='BN', requires_grad=True),\n norm_eval=True,\n dcn=None,\n stage_with_dcn=(False, False, False, False),\n plugins=None,\n with_cp=False,\n zero_init_residual=True,\n pretrained=None,\n init_cfg=None):\n super(ResNet, self).__init__(init_cfg)\n self.zero_init_residual = zero_init_residual\n if depth not in self.arch_settings:\n raise KeyError(f'invalid depth {depth} for resnet')\n\n block_init_cfg = None\n assert not (init_cfg and pretrained), \\\n 'init_cfg and pretrained cannot be specified at the same time'\n if isinstance(pretrained, str):\n warnings.warn('DeprecationWarning: pretrained is deprecated, '\n 'please use \"init_cfg\" instead')\n self.init_cfg = dict(type='Pretrained', checkpoint=pretrained)\n elif pretrained is None:\n if init_cfg is None:\n self.init_cfg = [\n dict(type='Kaiming', layer='Conv2d'),\n dict(\n type='Constant',\n val=1,\n layer=['_BatchNorm', 'GroupNorm'])\n ]\n block = self.arch_settings[depth][0]\n if self.zero_init_residual:\n if block is BasicBlock:\n block_init_cfg = dict(\n type='Constant',\n val=0,\n override=dict(name='norm2'))\n elif block is Bottleneck:\n block_init_cfg = dict(\n type='Constant',\n val=0,\n override=dict(name='norm3'))\n else:\n raise TypeError('pretrained must be a str or None')\n\n self.depth = depth\n if stem_channels is None:\n stem_channels = base_channels\n self.stem_channels = stem_channels\n self.base_channels = base_channels\n self.num_stages = num_stages\n assert num_stages >= 1 and num_stages <= 4\n self.strides = strides\n self.dilations = dilations\n assert len(strides) == len(dilations) == num_stages\n self.out_indices = out_indices\n assert max(out_indices) < num_stages\n self.style = style\n self.deep_stem = deep_stem\n self.avg_down = avg_down\n self.frozen_stages = frozen_stages\n self.conv_cfg = conv_cfg\n self.norm_cfg = norm_cfg\n self.with_cp = with_cp\n self.norm_eval = norm_eval\n self.dcn = dcn\n self.stage_with_dcn = stage_with_dcn\n if dcn is not None:\n assert len(stage_with_dcn) == num_stages\n self.plugins = plugins\n self.block, stage_blocks = self.arch_settings[depth]\n self.stage_blocks = stage_blocks[:num_stages]\n self.inplanes = stem_channels\n\n self._make_stem_layer(in_channels, stem_channels)\n\n self.res_layers = []\n for i, num_blocks in enumerate(self.stage_blocks):\n stride = strides[i]\n dilation = dilations[i]\n dcn = self.dcn if self.stage_with_dcn[i] else None\n if plugins is not None:\n stage_plugins = self.make_stage_plugins(plugins, i)\n else:\n stage_plugins = None\n planes = base_channels * 2**i\n res_layer = self.make_res_layer(\n block=self.block,\n inplanes=self.inplanes,\n planes=planes,\n num_blocks=num_blocks,\n stride=stride,\n dilation=dilation,\n style=self.style,\n avg_down=self.avg_down,\n with_cp=with_cp,\n conv_cfg=conv_cfg,\n norm_cfg=norm_cfg,\n dcn=dcn,\n plugins=stage_plugins,\n init_cfg=block_init_cfg)\n self.inplanes = planes * self.block.expansion\n layer_name = f'layer{i + 1}'\n self.add_module(layer_name, res_layer)\n self.res_layers.append(layer_name)\n\n self._freeze_stages()\n\n self.feat_dim = self.block.expansion * base_channels * 2**(\n len(self.stage_blocks) - 1)\n\n def make_stage_plugins(self, plugins, stage_idx):\n \"\"\"Make plugins for ResNet ``stage_idx`` th stage.\n\n Currently we support to insert ``context_block``,\n ``empirical_attention_block``, ``nonlocal_block`` into the backbone\n like ResNet/ResNeXt. They could be inserted after conv1/conv2/conv3 of\n Bottleneck.\n\n An example of plugins format could be:\n\n Examples:\n >>> plugins=[\n ... dict(cfg=dict(type='xxx', arg1='xxx'),\n ... stages=(False, True, True, True),\n ... position='after_conv2'),\n ... dict(cfg=dict(type='yyy'),\n ... stages=(True, True, True, True),\n ... position='after_conv3'),\n ... dict(cfg=dict(type='zzz', postfix='1'),\n ... stages=(True, True, True, True),\n ... position='after_conv3'),\n ... dict(cfg=dict(type='zzz', postfix='2'),\n ... stages=(True, True, True, True),\n ... position='after_conv3')\n ... ]\n >>> self = ResNet(depth=18)\n >>> stage_plugins = self.make_stage_plugins(plugins, 0)\n >>> assert len(stage_plugins) == 3\n\n Suppose ``stage_idx=0``, the structure of blocks in the stage would be:\n\n .. code-block:: none\n\n conv1-> conv2->conv3->yyy->zzz1->zzz2\n\n Suppose 'stage_idx=1', the structure of blocks in the stage would be:\n\n .. code-block:: none\n\n conv1-> conv2->xxx->conv3->yyy->zzz1->zzz2\n\n If stages is missing, the plugin would be applied to all stages.\n\n Args:\n plugins (list[dict]): List of plugins cfg to build. The postfix is\n required if multiple same type plugins are inserted.\n stage_idx (int): Index of stage to build\n\n Returns:\n list[dict]: Plugins for current stage\n \"\"\"\n stage_plugins = []\n for plugin in plugins:\n plugin = plugin.copy()\n stages = plugin.pop('stages', None)\n assert stages is None or len(stages) == self.num_stages\n # whether to insert plugin into current stage\n if stages is None or stages[stage_idx]:\n stage_plugins.append(plugin)\n\n return stage_plugins\n\n def make_res_layer(self, **kwargs):\n \"\"\"Pack all blocks in a stage into a ``ResLayer``.\"\"\"\n return ResLayer(**kwargs)\n\n @property\n def norm1(self):\n \"\"\"nn.Module: the normalization layer named \"norm1\" \"\"\"\n return getattr(self, self.norm1_name)\n\n def _make_stem_layer(self, in_channels, stem_channels):\n if self.deep_stem:\n self.stem = nn.Sequential(\n build_conv_layer(\n self.conv_cfg,\n in_channels,\n stem_channels // 2,\n kernel_size=3,\n stride=2,\n padding=1,\n bias=False),\n build_norm_layer(self.norm_cfg, stem_channels // 2)[1],\n nn.ReLU(inplace=True),\n build_conv_layer(\n self.conv_cfg,\n stem_channels // 2,\n stem_channels // 2,\n kernel_size=3,\n stride=1,\n padding=1,\n bias=False),\n build_norm_layer(self.norm_cfg, stem_channels // 2)[1],\n nn.ReLU(inplace=True),\n build_conv_layer(\n self.conv_cfg,\n stem_channels // 2,\n stem_channels,\n kernel_size=3,\n stride=1,\n padding=1,\n bias=False),\n build_norm_layer(self.norm_cfg, stem_channels)[1],\n nn.ReLU(inplace=True))\n else:\n self.conv1 = build_conv_layer(\n self.conv_cfg,\n in_channels,\n stem_channels,\n kernel_size=7,\n stride=2,\n padding=3,\n bias=False)\n self.norm1_name, norm1 = build_norm_layer(\n self.norm_cfg, stem_channels, postfix=1)\n self.add_module(self.norm1_name, norm1)\n self.relu = nn.ReLU(inplace=True)\n self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)\n\n def _freeze_stages(self):\n if self.frozen_stages >= 0:\n if self.deep_stem:\n self.stem.eval()\n for param in self.stem.parameters():\n param.requires_grad = False\n else:\n self.norm1.eval()\n for m in [self.conv1, self.norm1]:\n for param in m.parameters():\n param.requires_grad = False\n\n for i in range(1, self.frozen_stages + 1):\n m = getattr(self, f'layer{i}')\n m.eval()\n for param in m.parameters():\n param.requires_grad = False\n\n def forward(self, x):\n \"\"\"Forward function.\"\"\"\n if self.deep_stem:\n x = self.stem(x)\n else:\n x = self.conv1(x)\n x = self.norm1(x)\n x = self.relu(x)\n x = self.maxpool(x)\n outs = []\n for i, layer_name in enumerate(self.res_layers):\n res_layer = getattr(self, layer_name)\n x = res_layer(x)\n if i in self.out_indices:\n outs.append(x)\n return tuple(outs)\n\n def train(self, mode=True):\n \"\"\"Convert the model into training mode while keep normalization layer\n freezed.\"\"\"\n super(ResNet, self).train(mode)\n self._freeze_stages()\n if mode and self.norm_eval:\n for m in self.modules():\n # trick: eval have effect on BatchNorm only\n if isinstance(m, _BatchNorm):\n m.eval()\n\n\[email protected]_module()\nclass ResNetV1d(ResNet):\n r\"\"\"ResNetV1d variant described in `Bag of Tricks\n <https://arxiv.org/pdf/1812.01187.pdf>`_.\n\n Compared with default ResNet(ResNetV1b), ResNetV1d replaces the 7x7 conv in\n the input stem with three 3x3 convs. And in the downsampling block, a 2x2\n avg_pool with stride 2 is added before conv, whose stride is changed to 1.\n \"\"\"\n\n def __init__(self, **kwargs):\n super(ResNetV1d, self).__init__(\n deep_stem=True, avg_down=True, **kwargs)\n", "path": "mmdet/models/backbones/resnet.py" } ]
[ { "content": "# Copyright (c) OpenMMLab. All rights reserved.\nimport warnings\n\nimport torch.nn as nn\nimport torch.utils.checkpoint as cp\nfrom mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer\nfrom mmcv.runner import BaseModule\nfrom torch.nn.modules.batchnorm import _BatchNorm\n\nfrom ..builder import BACKBONES\nfrom ..utils import ResLayer\n\n\nclass BasicBlock(BaseModule):\n expansion = 1\n\n def __init__(self,\n inplanes,\n planes,\n stride=1,\n dilation=1,\n downsample=None,\n style='pytorch',\n with_cp=False,\n conv_cfg=None,\n norm_cfg=dict(type='BN'),\n dcn=None,\n plugins=None,\n init_cfg=None):\n super(BasicBlock, self).__init__(init_cfg)\n assert dcn is None, 'Not implemented yet.'\n assert plugins is None, 'Not implemented yet.'\n\n self.norm1_name, norm1 = build_norm_layer(norm_cfg, planes, postfix=1)\n self.norm2_name, norm2 = build_norm_layer(norm_cfg, planes, postfix=2)\n\n self.conv1 = build_conv_layer(\n conv_cfg,\n inplanes,\n planes,\n 3,\n stride=stride,\n padding=dilation,\n dilation=dilation,\n bias=False)\n self.add_module(self.norm1_name, norm1)\n self.conv2 = build_conv_layer(\n conv_cfg, planes, planes, 3, padding=1, bias=False)\n self.add_module(self.norm2_name, norm2)\n\n self.relu = nn.ReLU(inplace=True)\n self.downsample = downsample\n self.stride = stride\n self.dilation = dilation\n self.with_cp = with_cp\n\n @property\n def norm1(self):\n \"\"\"nn.Module: normalization layer after the first convolution layer\"\"\"\n return getattr(self, self.norm1_name)\n\n @property\n def norm2(self):\n \"\"\"nn.Module: normalization layer after the second convolution layer\"\"\"\n return getattr(self, self.norm2_name)\n\n def forward(self, x):\n \"\"\"Forward function.\"\"\"\n\n def _inner_forward(x):\n identity = x\n\n out = self.conv1(x)\n out = self.norm1(out)\n out = self.relu(out)\n\n out = self.conv2(out)\n out = self.norm2(out)\n\n if self.downsample is not None:\n identity = self.downsample(x)\n\n out += identity\n\n return out\n\n if self.with_cp and x.requires_grad:\n out = cp.checkpoint(_inner_forward, x)\n else:\n out = _inner_forward(x)\n\n out = self.relu(out)\n\n return out\n\n\nclass Bottleneck(BaseModule):\n expansion = 4\n\n def __init__(self,\n inplanes,\n planes,\n stride=1,\n dilation=1,\n downsample=None,\n style='pytorch',\n with_cp=False,\n conv_cfg=None,\n norm_cfg=dict(type='BN'),\n dcn=None,\n plugins=None,\n init_cfg=None):\n \"\"\"Bottleneck block for ResNet.\n\n If style is \"pytorch\", the stride-two layer is the 3x3 conv layer, if\n it is \"caffe\", the stride-two layer is the first 1x1 conv layer.\n \"\"\"\n super(Bottleneck, self).__init__(init_cfg)\n assert style in ['pytorch', 'caffe']\n assert dcn is None or isinstance(dcn, dict)\n assert plugins is None or isinstance(plugins, list)\n if plugins is not None:\n allowed_position = ['after_conv1', 'after_conv2', 'after_conv3']\n assert all(p['position'] in allowed_position for p in plugins)\n\n self.inplanes = inplanes\n self.planes = planes\n self.stride = stride\n self.dilation = dilation\n self.style = style\n self.with_cp = with_cp\n self.conv_cfg = conv_cfg\n self.norm_cfg = norm_cfg\n self.dcn = dcn\n self.with_dcn = dcn is not None\n self.plugins = plugins\n self.with_plugins = plugins is not None\n\n if self.with_plugins:\n # collect plugins for conv1/conv2/conv3\n self.after_conv1_plugins = [\n plugin['cfg'] for plugin in plugins\n if plugin['position'] == 'after_conv1'\n ]\n self.after_conv2_plugins = [\n plugin['cfg'] for plugin in plugins\n if plugin['position'] == 'after_conv2'\n ]\n self.after_conv3_plugins = [\n plugin['cfg'] for plugin in plugins\n if plugin['position'] == 'after_conv3'\n ]\n\n if self.style == 'pytorch':\n self.conv1_stride = 1\n self.conv2_stride = stride\n else:\n self.conv1_stride = stride\n self.conv2_stride = 1\n\n self.norm1_name, norm1 = build_norm_layer(norm_cfg, planes, postfix=1)\n self.norm2_name, norm2 = build_norm_layer(norm_cfg, planes, postfix=2)\n self.norm3_name, norm3 = build_norm_layer(\n norm_cfg, planes * self.expansion, postfix=3)\n\n self.conv1 = build_conv_layer(\n conv_cfg,\n inplanes,\n planes,\n kernel_size=1,\n stride=self.conv1_stride,\n bias=False)\n self.add_module(self.norm1_name, norm1)\n fallback_on_stride = False\n if self.with_dcn:\n fallback_on_stride = dcn.pop('fallback_on_stride', False)\n if not self.with_dcn or fallback_on_stride:\n self.conv2 = build_conv_layer(\n conv_cfg,\n planes,\n planes,\n kernel_size=3,\n stride=self.conv2_stride,\n padding=dilation,\n dilation=dilation,\n bias=False)\n else:\n assert self.conv_cfg is None, 'conv_cfg must be None for DCN'\n self.conv2 = build_conv_layer(\n dcn,\n planes,\n planes,\n kernel_size=3,\n stride=self.conv2_stride,\n padding=dilation,\n dilation=dilation,\n bias=False)\n\n self.add_module(self.norm2_name, norm2)\n self.conv3 = build_conv_layer(\n conv_cfg,\n planes,\n planes * self.expansion,\n kernel_size=1,\n bias=False)\n self.add_module(self.norm3_name, norm3)\n\n self.relu = nn.ReLU(inplace=True)\n self.downsample = downsample\n\n if self.with_plugins:\n self.after_conv1_plugin_names = self.make_block_plugins(\n planes, self.after_conv1_plugins)\n self.after_conv2_plugin_names = self.make_block_plugins(\n planes, self.after_conv2_plugins)\n self.after_conv3_plugin_names = self.make_block_plugins(\n planes * self.expansion, self.after_conv3_plugins)\n\n def make_block_plugins(self, in_channels, plugins):\n \"\"\"make plugins for block.\n\n Args:\n in_channels (int): Input channels of plugin.\n plugins (list[dict]): List of plugins cfg to build.\n\n Returns:\n list[str]: List of the names of plugin.\n \"\"\"\n assert isinstance(plugins, list)\n plugin_names = []\n for plugin in plugins:\n plugin = plugin.copy()\n name, layer = build_plugin_layer(\n plugin,\n in_channels=in_channels,\n postfix=plugin.pop('postfix', ''))\n assert not hasattr(self, name), f'duplicate plugin {name}'\n self.add_module(name, layer)\n plugin_names.append(name)\n return plugin_names\n\n def forward_plugin(self, x, plugin_names):\n out = x\n for name in plugin_names:\n out = getattr(self, name)(out)\n return out\n\n @property\n def norm1(self):\n \"\"\"nn.Module: normalization layer after the first convolution layer\"\"\"\n return getattr(self, self.norm1_name)\n\n @property\n def norm2(self):\n \"\"\"nn.Module: normalization layer after the second convolution layer\"\"\"\n return getattr(self, self.norm2_name)\n\n @property\n def norm3(self):\n \"\"\"nn.Module: normalization layer after the third convolution layer\"\"\"\n return getattr(self, self.norm3_name)\n\n def forward(self, x):\n \"\"\"Forward function.\"\"\"\n\n def _inner_forward(x):\n identity = x\n out = self.conv1(x)\n out = self.norm1(out)\n out = self.relu(out)\n\n if self.with_plugins:\n out = self.forward_plugin(out, self.after_conv1_plugin_names)\n\n out = self.conv2(out)\n out = self.norm2(out)\n out = self.relu(out)\n\n if self.with_plugins:\n out = self.forward_plugin(out, self.after_conv2_plugin_names)\n\n out = self.conv3(out)\n out = self.norm3(out)\n\n if self.with_plugins:\n out = self.forward_plugin(out, self.after_conv3_plugin_names)\n\n if self.downsample is not None:\n identity = self.downsample(x)\n\n out += identity\n\n return out\n\n if self.with_cp and x.requires_grad:\n out = cp.checkpoint(_inner_forward, x)\n else:\n out = _inner_forward(x)\n\n out = self.relu(out)\n\n return out\n\n\[email protected]_module()\nclass ResNet(BaseModule):\n \"\"\"ResNet backbone.\n\n Args:\n depth (int): Depth of resnet, from {18, 34, 50, 101, 152}.\n stem_channels (int | None): Number of stem channels. If not specified,\n it will be the same as `base_channels`. Default: None.\n base_channels (int): Number of base channels of res layer. Default: 64.\n in_channels (int): Number of input image channels. Default: 3.\n num_stages (int): Resnet stages. Default: 4.\n strides (Sequence[int]): Strides of the first block of each stage.\n dilations (Sequence[int]): Dilation of each stage.\n out_indices (Sequence[int]): Output from which stages.\n style (str): `pytorch` or `caffe`. If set to \"pytorch\", the stride-two\n layer is the 3x3 conv layer, otherwise the stride-two layer is\n the first 1x1 conv layer.\n deep_stem (bool): Replace 7x7 conv in input stem with 3 3x3 conv\n avg_down (bool): Use AvgPool instead of stride conv when\n downsampling in the bottleneck.\n frozen_stages (int): Stages to be frozen (stop grad and set eval mode).\n -1 means not freezing any parameters.\n norm_cfg (dict): Dictionary to construct and config norm layer.\n norm_eval (bool): Whether to set norm layers to eval mode, namely,\n freeze running stats (mean and var). Note: Effect on Batch Norm\n and its variants only.\n plugins (list[dict]): List of plugins for stages, each dict contains:\n\n - cfg (dict, required): Cfg dict to build plugin.\n - position (str, required): Position inside block to insert\n plugin, options are 'after_conv1', 'after_conv2', 'after_conv3'.\n - stages (tuple[bool], optional): Stages to apply plugin, length\n should be same as 'num_stages'.\n with_cp (bool): Use checkpoint or not. Using checkpoint will save some\n memory while slowing down the training speed.\n zero_init_residual (bool): Whether to use zero init for last norm layer\n in resblocks to let them behave as identity.\n pretrained (str, optional): model pretrained path. Default: None\n init_cfg (dict or list[dict], optional): Initialization config dict.\n Default: None\n\n Example:\n >>> from mmdet.models import ResNet\n >>> import torch\n >>> self = ResNet(depth=18)\n >>> self.eval()\n >>> inputs = torch.rand(1, 3, 32, 32)\n >>> level_outputs = self.forward(inputs)\n >>> for level_out in level_outputs:\n ... print(tuple(level_out.shape))\n (1, 64, 8, 8)\n (1, 128, 4, 4)\n (1, 256, 2, 2)\n (1, 512, 1, 1)\n \"\"\"\n\n arch_settings = {\n 18: (BasicBlock, (2, 2, 2, 2)),\n 34: (BasicBlock, (3, 4, 6, 3)),\n 50: (Bottleneck, (3, 4, 6, 3)),\n 101: (Bottleneck, (3, 4, 23, 3)),\n 152: (Bottleneck, (3, 8, 36, 3))\n }\n\n def __init__(self,\n depth,\n in_channels=3,\n stem_channels=None,\n base_channels=64,\n num_stages=4,\n strides=(1, 2, 2, 2),\n dilations=(1, 1, 1, 1),\n out_indices=(0, 1, 2, 3),\n style='pytorch',\n deep_stem=False,\n avg_down=False,\n frozen_stages=-1,\n conv_cfg=None,\n norm_cfg=dict(type='BN', requires_grad=True),\n norm_eval=True,\n dcn=None,\n stage_with_dcn=(False, False, False, False),\n plugins=None,\n with_cp=False,\n zero_init_residual=True,\n pretrained=None,\n init_cfg=None):\n super(ResNet, self).__init__(init_cfg)\n self.zero_init_residual = zero_init_residual\n if depth not in self.arch_settings:\n raise KeyError(f'invalid depth {depth} for resnet')\n\n block_init_cfg = None\n assert not (init_cfg and pretrained), \\\n 'init_cfg and pretrained cannot be specified at the same time'\n if isinstance(pretrained, str):\n warnings.warn('DeprecationWarning: pretrained is deprecated, '\n 'please use \"init_cfg\" instead')\n self.init_cfg = dict(type='Pretrained', checkpoint=pretrained)\n elif pretrained is None:\n if init_cfg is None:\n self.init_cfg = [\n dict(type='Kaiming', layer='Conv2d'),\n dict(\n type='Constant',\n val=1,\n layer=['_BatchNorm', 'GroupNorm'])\n ]\n block = self.arch_settings[depth][0]\n if self.zero_init_residual:\n if block is BasicBlock:\n block_init_cfg = dict(\n type='Constant',\n val=0,\n override=dict(name='norm2'))\n elif block is Bottleneck:\n block_init_cfg = dict(\n type='Constant',\n val=0,\n override=dict(name='norm3'))\n else:\n raise TypeError('pretrained must be a str or None')\n\n self.depth = depth\n if stem_channels is None:\n stem_channels = base_channels\n self.stem_channels = stem_channels\n self.base_channels = base_channels\n self.num_stages = num_stages\n assert num_stages >= 1 and num_stages <= 4\n self.strides = strides\n self.dilations = dilations\n assert len(strides) == len(dilations) == num_stages\n self.out_indices = out_indices\n assert max(out_indices) < num_stages\n self.style = style\n self.deep_stem = deep_stem\n self.avg_down = avg_down\n self.frozen_stages = frozen_stages\n self.conv_cfg = conv_cfg\n self.norm_cfg = norm_cfg\n self.with_cp = with_cp\n self.norm_eval = norm_eval\n self.dcn = dcn\n self.stage_with_dcn = stage_with_dcn\n if dcn is not None:\n assert len(stage_with_dcn) == num_stages\n self.plugins = plugins\n self.block, stage_blocks = self.arch_settings[depth]\n self.stage_blocks = stage_blocks[:num_stages]\n self.inplanes = stem_channels\n\n self._make_stem_layer(in_channels, stem_channels)\n\n self.res_layers = []\n for i, num_blocks in enumerate(self.stage_blocks):\n stride = strides[i]\n dilation = dilations[i]\n dcn = self.dcn if self.stage_with_dcn[i] else None\n if plugins is not None:\n stage_plugins = self.make_stage_plugins(plugins, i)\n else:\n stage_plugins = None\n planes = base_channels * 2**i\n res_layer = self.make_res_layer(\n block=self.block,\n inplanes=self.inplanes,\n planes=planes,\n num_blocks=num_blocks,\n stride=stride,\n dilation=dilation,\n style=self.style,\n avg_down=self.avg_down,\n with_cp=with_cp,\n conv_cfg=conv_cfg,\n norm_cfg=norm_cfg,\n dcn=dcn,\n plugins=stage_plugins,\n init_cfg=block_init_cfg)\n self.inplanes = planes * self.block.expansion\n layer_name = f'layer{i + 1}'\n self.add_module(layer_name, res_layer)\n self.res_layers.append(layer_name)\n\n self._freeze_stages()\n\n self.feat_dim = self.block.expansion * base_channels * 2**(\n len(self.stage_blocks) - 1)\n\n def make_stage_plugins(self, plugins, stage_idx):\n \"\"\"Make plugins for ResNet ``stage_idx`` th stage.\n\n Currently we support to insert ``context_block``,\n ``empirical_attention_block``, ``nonlocal_block`` into the backbone\n like ResNet/ResNeXt. They could be inserted after conv1/conv2/conv3 of\n Bottleneck.\n\n An example of plugins format could be:\n\n Examples:\n >>> plugins=[\n ... dict(cfg=dict(type='xxx', arg1='xxx'),\n ... stages=(False, True, True, True),\n ... position='after_conv2'),\n ... dict(cfg=dict(type='yyy'),\n ... stages=(True, True, True, True),\n ... position='after_conv3'),\n ... dict(cfg=dict(type='zzz', postfix='1'),\n ... stages=(True, True, True, True),\n ... position='after_conv3'),\n ... dict(cfg=dict(type='zzz', postfix='2'),\n ... stages=(True, True, True, True),\n ... position='after_conv3')\n ... ]\n >>> self = ResNet(depth=18)\n >>> stage_plugins = self.make_stage_plugins(plugins, 0)\n >>> assert len(stage_plugins) == 3\n\n Suppose ``stage_idx=0``, the structure of blocks in the stage would be:\n\n .. code-block:: none\n\n conv1-> conv2->conv3->yyy->zzz1->zzz2\n\n Suppose 'stage_idx=1', the structure of blocks in the stage would be:\n\n .. code-block:: none\n\n conv1-> conv2->xxx->conv3->yyy->zzz1->zzz2\n\n If stages is missing, the plugin would be applied to all stages.\n\n Args:\n plugins (list[dict]): List of plugins cfg to build. The postfix is\n required if multiple same type plugins are inserted.\n stage_idx (int): Index of stage to build\n\n Returns:\n list[dict]: Plugins for current stage\n \"\"\"\n stage_plugins = []\n for plugin in plugins:\n plugin = plugin.copy()\n stages = plugin.pop('stages', None)\n assert stages is None or len(stages) == self.num_stages\n # whether to insert plugin into current stage\n if stages is None or stages[stage_idx]:\n stage_plugins.append(plugin)\n\n return stage_plugins\n\n def make_res_layer(self, **kwargs):\n \"\"\"Pack all blocks in a stage into a ``ResLayer``.\"\"\"\n return ResLayer(**kwargs)\n\n @property\n def norm1(self):\n \"\"\"nn.Module: the normalization layer named \"norm1\" \"\"\"\n return getattr(self, self.norm1_name)\n\n def _make_stem_layer(self, in_channels, stem_channels):\n if self.deep_stem:\n self.stem = nn.Sequential(\n build_conv_layer(\n self.conv_cfg,\n in_channels,\n stem_channels // 2,\n kernel_size=3,\n stride=2,\n padding=1,\n bias=False),\n build_norm_layer(self.norm_cfg, stem_channels // 2)[1],\n nn.ReLU(inplace=True),\n build_conv_layer(\n self.conv_cfg,\n stem_channels // 2,\n stem_channels // 2,\n kernel_size=3,\n stride=1,\n padding=1,\n bias=False),\n build_norm_layer(self.norm_cfg, stem_channels // 2)[1],\n nn.ReLU(inplace=True),\n build_conv_layer(\n self.conv_cfg,\n stem_channels // 2,\n stem_channels,\n kernel_size=3,\n stride=1,\n padding=1,\n bias=False),\n build_norm_layer(self.norm_cfg, stem_channels)[1],\n nn.ReLU(inplace=True))\n else:\n self.conv1 = build_conv_layer(\n self.conv_cfg,\n in_channels,\n stem_channels,\n kernel_size=7,\n stride=2,\n padding=3,\n bias=False)\n self.norm1_name, norm1 = build_norm_layer(\n self.norm_cfg, stem_channels, postfix=1)\n self.add_module(self.norm1_name, norm1)\n self.relu = nn.ReLU(inplace=True)\n self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)\n\n def _freeze_stages(self):\n if self.frozen_stages >= 0:\n if self.deep_stem:\n self.stem.eval()\n for param in self.stem.parameters():\n param.requires_grad = False\n else:\n self.norm1.eval()\n for m in [self.conv1, self.norm1]:\n for param in m.parameters():\n param.requires_grad = False\n\n for i in range(1, self.frozen_stages + 1):\n m = getattr(self, f'layer{i}')\n m.eval()\n for param in m.parameters():\n param.requires_grad = False\n\n def forward(self, x):\n \"\"\"Forward function.\"\"\"\n if self.deep_stem:\n x = self.stem(x)\n else:\n x = self.conv1(x)\n x = self.norm1(x)\n x = self.relu(x)\n x = self.maxpool(x)\n outs = []\n for i, layer_name in enumerate(self.res_layers):\n res_layer = getattr(self, layer_name)\n x = res_layer(x)\n if i in self.out_indices:\n outs.append(x)\n return tuple(outs)\n\n def train(self, mode=True):\n \"\"\"Convert the model into training mode while keep normalization layer\n freezed.\"\"\"\n super(ResNet, self).train(mode)\n self._freeze_stages()\n if mode and self.norm_eval:\n for m in self.modules():\n # trick: eval have effect on BatchNorm only\n if isinstance(m, _BatchNorm):\n m.eval()\n\n\[email protected]_module()\nclass ResNetV1d(ResNet):\n r\"\"\"ResNetV1d variant described in `Bag of Tricks\n <https://arxiv.org/pdf/1812.01187.pdf>`_.\n\n Compared with default ResNet(ResNetV1b), ResNetV1d replaces the 7x7 conv in\n the input stem with three 3x3 convs. And in the downsampling block, a 2x2\n avg_pool with stride 2 is added before conv, whose stride is changed to 1.\n \"\"\"\n\n def __init__(self, **kwargs):\n super(ResNetV1d, self).__init__(\n deep_stem=True, avg_down=True, **kwargs)\n", "path": "mmdet/models/backbones/resnet.py" } ]
diff --git a/mmdet/models/backbones/resnet.py b/mmdet/models/backbones/resnet.py index c424448e62a..1eaaae67c9d 100644 --- a/mmdet/models/backbones/resnet.py +++ b/mmdet/models/backbones/resnet.py @@ -242,7 +242,7 @@ def make_block_plugins(self, in_channels, plugins): def forward_plugin(self, x, plugin_names): out = x for name in plugin_names: - out = getattr(self, name)(x) + out = getattr(self, name)(out) return out @property
[Bug] Bug in resnet's plugin **Describe the bug** - In the ResNet implementation of MMDET, there seems to be a problem in function [forward_function](https://github.com/open-mmlab/mmdetection/blob/master/mmdet/models/backbones/resnet.py#L242) ```python def forward_plugin(self, x, plugin_names): out = x for name in plugin_names: out = getattr(self, name)(x) return ``` - If we have multiple plugins at one position, then, only the last one is valid **Bug fix** ```python def forward_plugin(self, x, plugin_names): out = x for name in plugin_names: out = getattr(self, name)(out) return ```
ranaroussi__yfinance-1611
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# yfinance - market data downloader\n# https://github.com/ranaroussi/yfinance\n#\n# Copyright 2017-2019 Ran Aroussi\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n\nfrom __future__ import print_function\n\nimport logging\nimport traceback\nimport time as _time\nimport multitasking as _multitasking\nimport pandas as _pd\n\nfrom . import Ticker, utils\nfrom . import shared\n\[email protected]_indent_decorator\ndef download(tickers, start=None, end=None, actions=False, threads=True, ignore_tz=None,\n group_by='column', auto_adjust=False, back_adjust=False, repair=False, keepna=False,\n progress=True, period=\"max\", show_errors=None, interval=\"1d\", prepost=False,\n proxy=None, rounding=False, timeout=10, session=None):\n \"\"\"Download yahoo tickers\n :Parameters:\n tickers : str, list\n List of tickers to download\n period : str\n Valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max\n Either Use period parameter or use start and end\n interval : str\n Valid intervals: 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo\n Intraday data cannot extend last 60 days\n start: str\n Download start date string (YYYY-MM-DD) or _datetime, inclusive.\n Default is 1900-01-01\n E.g. for start=\"2020-01-01\", the first data point will be on \"2020-01-01\"\n end: str\n Download end date string (YYYY-MM-DD) or _datetime, exclusive.\n Default is now\n E.g. for end=\"2023-01-01\", the last data point will be on \"2022-12-31\"\n group_by : str\n Group by 'ticker' or 'column' (default)\n prepost : bool\n Include Pre and Post market data in results?\n Default is False\n auto_adjust: bool\n Adjust all OHLC automatically? Default is False\n repair: bool\n Detect currency unit 100x mixups and attempt repair\n Default is False\n keepna: bool\n Keep NaN rows returned by Yahoo?\n Default is False\n actions: bool\n Download dividend + stock splits data. Default is False\n threads: bool / int\n How many threads to use for mass downloading. Default is True\n ignore_tz: bool\n When combining from different timezones, ignore that part of datetime.\n Default depends on interval. Intraday = False. Day+ = True.\n proxy: str\n Optional. Proxy server URL scheme. Default is None\n rounding: bool\n Optional. Round values to 2 decimal places?\n show_errors: bool\n Optional. Doesn't print errors if False\n DEPRECATED, will be removed in future version\n timeout: None or float\n If not None stops waiting for a response after given number of\n seconds. (Can also be a fraction of a second e.g. 0.01)\n session: None or Session\n Optional. Pass your own session object to be used for all requests\n \"\"\"\n logger = utils.get_yf_logger()\n\n if show_errors is not None:\n if show_errors:\n utils.print_once(f\"yfinance: download(show_errors={show_errors}) argument is deprecated and will be removed in future version. Do this instead: logging.getLogger('yfinance').setLevel(logging.ERROR)\")\n logger.setLevel(logging.ERROR)\n else:\n utils.print_once(f\"yfinance: download(show_errors={show_errors}) argument is deprecated and will be removed in future version. Do this instead to suppress error messages: logging.getLogger('yfinance').setLevel(logging.CRITICAL)\")\n logger.setLevel(logging.CRITICAL)\n\n if logger.isEnabledFor(logging.DEBUG):\n if threads:\n # With DEBUG, each thread generates a lot of log messages.\n # And with multi-threading, these messages will be interleaved, bad!\n # So disable multi-threading to make log readable.\n logger.debug('Disabling multithreading because DEBUG logging enabled')\n threads = False\n if progress:\n # Disable progress bar, interferes with display of log messages\n progress = False\n\n if ignore_tz is None:\n # Set default value depending on interval\n if interval[1:] in ['m', 'h']:\n # Intraday\n ignore_tz = False\n else:\n ignore_tz = True\n\n # create ticker list\n tickers = tickers if isinstance(\n tickers, (list, set, tuple)) else tickers.replace(',', ' ').split()\n\n # accept isin as ticker\n shared._ISINS = {}\n _tickers_ = []\n for ticker in tickers:\n if utils.is_isin(ticker):\n isin = ticker\n ticker = utils.get_ticker_by_isin(ticker, proxy, session=session)\n shared._ISINS[ticker] = isin\n _tickers_.append(ticker)\n\n tickers = _tickers_\n\n tickers = list(set([ticker.upper() for ticker in tickers]))\n\n if progress:\n shared._PROGRESS_BAR = utils.ProgressBar(len(tickers), 'completed')\n\n # reset shared._DFS\n shared._DFS = {}\n shared._ERRORS = {}\n shared._TRACEBACKS = {}\n\n # download using threads\n if threads:\n if threads is True:\n threads = min([len(tickers), _multitasking.cpu_count() * 2])\n _multitasking.set_max_threads(threads)\n for i, ticker in enumerate(tickers):\n _download_one_threaded(ticker, period=period, interval=interval,\n start=start, end=end, prepost=prepost,\n actions=actions, auto_adjust=auto_adjust,\n back_adjust=back_adjust, repair=repair, keepna=keepna,\n progress=(progress and i > 0), proxy=proxy,\n rounding=rounding, timeout=timeout, session=session)\n while len(shared._DFS) < len(tickers):\n _time.sleep(0.01)\n # download synchronously\n else:\n for i, ticker in enumerate(tickers):\n data = _download_one(ticker, period=period, interval=interval,\n start=start, end=end, prepost=prepost,\n actions=actions, auto_adjust=auto_adjust,\n back_adjust=back_adjust, repair=repair, keepna=keepna,\n proxy=proxy,\n rounding=rounding, timeout=timeout, session=session)\n if progress:\n shared._PROGRESS_BAR.animate()\n \n if progress:\n shared._PROGRESS_BAR.completed()\n\n if shared._ERRORS:\n # Send errors to logging module\n logger = utils.get_yf_logger()\n logger.error('\\n%.f Failed download%s:' % (\n len(shared._ERRORS), 's' if len(shared._ERRORS) > 1 else ''))\n\n # Log each distinct error once, with list of symbols affected\n errors = {}\n for ticker in shared._ERRORS:\n err = shared._ERRORS[ticker]\n err = err.replace(f'{ticker}', '%ticker%')\n if not err in errors:\n errors[err] = [ticker]\n else:\n errors[err].append(ticker)\n for err in errors.keys():\n logger.error(f'{errors[err]}: ' + err)\n\n # Log each distinct traceback once, with list of symbols affected\n tbs = {}\n for ticker in shared._TRACEBACKS:\n tb = shared._TRACEBACKS[ticker]\n tb = tb.replace(f'{ticker}', '%ticker%')\n if not tb in tbs:\n tbs[tb] = [ticker]\n else:\n tbs[tb].append(ticker)\n for tb in tbs.keys():\n logger.debug(f'{tbs[tb]}: ' + tb)\n\n if ignore_tz:\n for tkr in shared._DFS.keys():\n if (shared._DFS[tkr] is not None) and (shared._DFS[tkr].shape[0] > 0):\n shared._DFS[tkr].index = shared._DFS[tkr].index.tz_localize(None)\n\n if len(tickers) == 1:\n ticker = tickers[0]\n return shared._DFS[shared._ISINS.get(ticker, ticker)]\n\n try:\n data = _pd.concat(shared._DFS.values(), axis=1, sort=True,\n keys=shared._DFS.keys())\n except Exception:\n _realign_dfs()\n data = _pd.concat(shared._DFS.values(), axis=1, sort=True,\n keys=shared._DFS.keys())\n\n # switch names back to isins if applicable\n data.rename(columns=shared._ISINS, inplace=True)\n\n if group_by == 'column':\n data.columns = data.columns.swaplevel(0, 1)\n data.sort_index(level=0, axis=1, inplace=True)\n\n return data\n\n\ndef _realign_dfs():\n idx_len = 0\n idx = None\n\n for df in shared._DFS.values():\n if len(df) > idx_len:\n idx_len = len(df)\n idx = df.index\n\n for key in shared._DFS.keys():\n try:\n shared._DFS[key] = _pd.DataFrame(\n index=idx, data=shared._DFS[key]).drop_duplicates()\n except Exception:\n shared._DFS[key] = _pd.concat([\n utils.empty_df(idx), shared._DFS[key].dropna()\n ], axis=0, sort=True)\n\n # remove duplicate index\n shared._DFS[key] = shared._DFS[key].loc[\n ~shared._DFS[key].index.duplicated(keep='last')]\n\n\n@_multitasking.task\ndef _download_one_threaded(ticker, start=None, end=None,\n auto_adjust=False, back_adjust=False, repair=False,\n actions=False, progress=True, period=\"max\",\n interval=\"1d\", prepost=False, proxy=None,\n keepna=False, rounding=False, timeout=10, session=None):\n data = _download_one(ticker, start, end, auto_adjust, back_adjust, repair,\n actions, period, interval, prepost, proxy, rounding,\n keepna, timeout, session)\n if progress:\n shared._PROGRESS_BAR.animate()\n\n\ndef _download_one(ticker, start=None, end=None,\n auto_adjust=False, back_adjust=False, repair=False,\n actions=False, period=\"max\", interval=\"1d\",\n prepost=False, proxy=None, rounding=False,\n keepna=False, timeout=10, session=None):\n data = None\n try:\n data = Ticker(ticker, session=session).history(\n period=period, interval=interval,\n start=start, end=end, prepost=prepost,\n actions=actions, auto_adjust=auto_adjust,\n back_adjust=back_adjust, repair=repair, proxy=proxy,\n rounding=rounding, keepna=keepna, timeout=timeout,\n raise_errors=True\n )\n except Exception as e:\n # glob try/except needed as current thead implementation breaks if exception is raised.\n shared._DFS[ticker.upper()] = utils.empty_df()\n shared._ERRORS[ticker.upper()] = repr(e)\n shared._TRACEBACKS[ticker.upper()] = traceback.format_exc()\n else:\n shared._DFS[ticker.upper()] = data\n\n return data\n", "path": "yfinance/multi.py" } ]
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# yfinance - market data downloader\n# https://github.com/ranaroussi/yfinance\n#\n# Copyright 2017-2019 Ran Aroussi\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n\nfrom __future__ import print_function\n\nimport logging\nimport traceback\nimport time as _time\nimport multitasking as _multitasking\nimport pandas as _pd\n\nfrom . import Ticker, utils\nfrom . import shared\n\[email protected]_indent_decorator\ndef download(tickers, start=None, end=None, actions=False, threads=True, ignore_tz=None,\n group_by='column', auto_adjust=False, back_adjust=False, repair=False, keepna=False,\n progress=True, period=\"max\", show_errors=None, interval=\"1d\", prepost=False,\n proxy=None, rounding=False, timeout=10, session=None):\n \"\"\"Download yahoo tickers\n :Parameters:\n tickers : str, list\n List of tickers to download\n period : str\n Valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max\n Either Use period parameter or use start and end\n interval : str\n Valid intervals: 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo\n Intraday data cannot extend last 60 days\n start: str\n Download start date string (YYYY-MM-DD) or _datetime, inclusive.\n Default is 1900-01-01\n E.g. for start=\"2020-01-01\", the first data point will be on \"2020-01-01\"\n end: str\n Download end date string (YYYY-MM-DD) or _datetime, exclusive.\n Default is now\n E.g. for end=\"2023-01-01\", the last data point will be on \"2022-12-31\"\n group_by : str\n Group by 'ticker' or 'column' (default)\n prepost : bool\n Include Pre and Post market data in results?\n Default is False\n auto_adjust: bool\n Adjust all OHLC automatically? Default is False\n repair: bool\n Detect currency unit 100x mixups and attempt repair\n Default is False\n keepna: bool\n Keep NaN rows returned by Yahoo?\n Default is False\n actions: bool\n Download dividend + stock splits data. Default is False\n threads: bool / int\n How many threads to use for mass downloading. Default is True\n ignore_tz: bool\n When combining from different timezones, ignore that part of datetime.\n Default depends on interval. Intraday = False. Day+ = True.\n proxy: str\n Optional. Proxy server URL scheme. Default is None\n rounding: bool\n Optional. Round values to 2 decimal places?\n show_errors: bool\n Optional. Doesn't print errors if False\n DEPRECATED, will be removed in future version\n timeout: None or float\n If not None stops waiting for a response after given number of\n seconds. (Can also be a fraction of a second e.g. 0.01)\n session: None or Session\n Optional. Pass your own session object to be used for all requests\n \"\"\"\n logger = utils.get_yf_logger()\n\n if show_errors is not None:\n if show_errors:\n utils.print_once(f\"yfinance: download(show_errors={show_errors}) argument is deprecated and will be removed in future version. Do this instead: logging.getLogger('yfinance').setLevel(logging.ERROR)\")\n logger.setLevel(logging.ERROR)\n else:\n utils.print_once(f\"yfinance: download(show_errors={show_errors}) argument is deprecated and will be removed in future version. Do this instead to suppress error messages: logging.getLogger('yfinance').setLevel(logging.CRITICAL)\")\n logger.setLevel(logging.CRITICAL)\n\n if logger.isEnabledFor(logging.DEBUG):\n if threads:\n # With DEBUG, each thread generates a lot of log messages.\n # And with multi-threading, these messages will be interleaved, bad!\n # So disable multi-threading to make log readable.\n logger.debug('Disabling multithreading because DEBUG logging enabled')\n threads = False\n if progress:\n # Disable progress bar, interferes with display of log messages\n progress = False\n\n if ignore_tz is None:\n # Set default value depending on interval\n if interval[1:] in ['m', 'h']:\n # Intraday\n ignore_tz = False\n else:\n ignore_tz = True\n\n # create ticker list\n tickers = tickers if isinstance(\n tickers, (list, set, tuple)) else tickers.replace(',', ' ').split()\n\n # accept isin as ticker\n shared._ISINS = {}\n _tickers_ = []\n for ticker in tickers:\n if utils.is_isin(ticker):\n isin = ticker\n ticker = utils.get_ticker_by_isin(ticker, proxy, session=session)\n shared._ISINS[ticker] = isin\n _tickers_.append(ticker)\n\n tickers = _tickers_\n\n tickers = list(set([ticker.upper() for ticker in tickers]))\n\n if progress:\n shared._PROGRESS_BAR = utils.ProgressBar(len(tickers), 'completed')\n\n # reset shared._DFS\n shared._DFS = {}\n shared._ERRORS = {}\n shared._TRACEBACKS = {}\n\n # download using threads\n if threads:\n if threads is True:\n threads = min([len(tickers), _multitasking.cpu_count() * 2])\n _multitasking.set_max_threads(threads)\n for i, ticker in enumerate(tickers):\n _download_one_threaded(ticker, period=period, interval=interval,\n start=start, end=end, prepost=prepost,\n actions=actions, auto_adjust=auto_adjust,\n back_adjust=back_adjust, repair=repair, keepna=keepna,\n progress=(progress and i > 0), proxy=proxy,\n rounding=rounding, timeout=timeout, session=session)\n while len(shared._DFS) < len(tickers):\n _time.sleep(0.01)\n # download synchronously\n else:\n for i, ticker in enumerate(tickers):\n data = _download_one(ticker, period=period, interval=interval,\n start=start, end=end, prepost=prepost,\n actions=actions, auto_adjust=auto_adjust,\n back_adjust=back_adjust, repair=repair, keepna=keepna,\n proxy=proxy,\n rounding=rounding, timeout=timeout, session=session)\n if progress:\n shared._PROGRESS_BAR.animate()\n \n if progress:\n shared._PROGRESS_BAR.completed()\n\n if shared._ERRORS:\n # Send errors to logging module\n logger = utils.get_yf_logger()\n logger.error('\\n%.f Failed download%s:' % (\n len(shared._ERRORS), 's' if len(shared._ERRORS) > 1 else ''))\n\n # Log each distinct error once, with list of symbols affected\n errors = {}\n for ticker in shared._ERRORS:\n err = shared._ERRORS[ticker]\n err = err.replace(f'{ticker}', '%ticker%')\n if not err in errors:\n errors[err] = [ticker]\n else:\n errors[err].append(ticker)\n for err in errors.keys():\n logger.error(f'{errors[err]}: ' + err)\n\n # Log each distinct traceback once, with list of symbols affected\n tbs = {}\n for ticker in shared._TRACEBACKS:\n tb = shared._TRACEBACKS[ticker]\n tb = tb.replace(f'{ticker}', '%ticker%')\n if not tb in tbs:\n tbs[tb] = [ticker]\n else:\n tbs[tb].append(ticker)\n for tb in tbs.keys():\n logger.debug(f'{tbs[tb]}: ' + tb)\n\n if ignore_tz:\n for tkr in shared._DFS.keys():\n if (shared._DFS[tkr] is not None) and (shared._DFS[tkr].shape[0] > 0):\n shared._DFS[tkr].index = shared._DFS[tkr].index.tz_localize(None)\n\n if len(tickers) == 1:\n ticker = tickers[0]\n return shared._DFS[ticker]\n\n try:\n data = _pd.concat(shared._DFS.values(), axis=1, sort=True,\n keys=shared._DFS.keys())\n except Exception:\n _realign_dfs()\n data = _pd.concat(shared._DFS.values(), axis=1, sort=True,\n keys=shared._DFS.keys())\n\n # switch names back to isins if applicable\n data.rename(columns=shared._ISINS, inplace=True)\n\n if group_by == 'column':\n data.columns = data.columns.swaplevel(0, 1)\n data.sort_index(level=0, axis=1, inplace=True)\n\n return data\n\n\ndef _realign_dfs():\n idx_len = 0\n idx = None\n\n for df in shared._DFS.values():\n if len(df) > idx_len:\n idx_len = len(df)\n idx = df.index\n\n for key in shared._DFS.keys():\n try:\n shared._DFS[key] = _pd.DataFrame(\n index=idx, data=shared._DFS[key]).drop_duplicates()\n except Exception:\n shared._DFS[key] = _pd.concat([\n utils.empty_df(idx), shared._DFS[key].dropna()\n ], axis=0, sort=True)\n\n # remove duplicate index\n shared._DFS[key] = shared._DFS[key].loc[\n ~shared._DFS[key].index.duplicated(keep='last')]\n\n\n@_multitasking.task\ndef _download_one_threaded(ticker, start=None, end=None,\n auto_adjust=False, back_adjust=False, repair=False,\n actions=False, progress=True, period=\"max\",\n interval=\"1d\", prepost=False, proxy=None,\n keepna=False, rounding=False, timeout=10, session=None):\n data = _download_one(ticker, start, end, auto_adjust, back_adjust, repair,\n actions, period, interval, prepost, proxy, rounding,\n keepna, timeout, session)\n if progress:\n shared._PROGRESS_BAR.animate()\n\n\ndef _download_one(ticker, start=None, end=None,\n auto_adjust=False, back_adjust=False, repair=False,\n actions=False, period=\"max\", interval=\"1d\",\n prepost=False, proxy=None, rounding=False,\n keepna=False, timeout=10, session=None):\n data = None\n try:\n data = Ticker(ticker, session=session).history(\n period=period, interval=interval,\n start=start, end=end, prepost=prepost,\n actions=actions, auto_adjust=auto_adjust,\n back_adjust=back_adjust, repair=repair, proxy=proxy,\n rounding=rounding, keepna=keepna, timeout=timeout,\n raise_errors=True\n )\n except Exception as e:\n # glob try/except needed as current thead implementation breaks if exception is raised.\n shared._DFS[ticker.upper()] = utils.empty_df()\n shared._ERRORS[ticker.upper()] = repr(e)\n shared._TRACEBACKS[ticker.upper()] = traceback.format_exc()\n else:\n shared._DFS[ticker.upper()] = data\n\n return data\n", "path": "yfinance/multi.py" } ]
diff --git a/yfinance/multi.py b/yfinance/multi.py index 7a3d3f44b..6ec8e4ae4 100644 --- a/yfinance/multi.py +++ b/yfinance/multi.py @@ -207,7 +207,7 @@ def download(tickers, start=None, end=None, actions=False, threads=True, ignore_ if len(tickers) == 1: ticker = tickers[0] - return shared._DFS[shared._ISINS.get(ticker, ticker)] + return shared._DFS[ticker] try: data = _pd.concat(shared._DFS.values(), axis=1, sort=True,
Falure when using single ISIN as a ticker (fix included) Multiple tickers with ISINs mixed in do work, but a single ISIN fails. Here is the culprit (multi.py): > if len(tickers) == 1: > ticker = tickers[0] > return shared._DFS[shared._ISINS.get(ticker, ticker)] The last line should be just > return shared._DFS[ticker] as at that point in time both _DFS and tickers refer to Yahoo ID instead of ISIN, and lookup by original ISIN in _DFS is failing. Testcase: >import yfinance as yf >yf.download("SE0000594111", period="7d", repair=True, progress=False, threads=False, timeout=30) (corresponding Yahoo ID is '0P00000FYR.ST'.
keras-team__keras-7955
[ { "content": "from __future__ import absolute_import\nimport six\nfrom . import backend as K\nfrom .utils.generic_utils import deserialize_keras_object\n\n\n# noinspection SpellCheckingInspection\ndef mean_squared_error(y_true, y_pred):\n return K.mean(K.square(y_pred - y_true), axis=-1)\n\n\ndef mean_absolute_error(y_true, y_pred):\n return K.mean(K.abs(y_pred - y_true), axis=-1)\n\n\ndef mean_absolute_percentage_error(y_true, y_pred):\n diff = K.abs((y_true - y_pred) / K.clip(K.abs(y_true),\n K.epsilon(),\n None))\n return 100. * K.mean(diff, axis=-1)\n\n\ndef mean_squared_logarithmic_error(y_true, y_pred):\n first_log = K.log(K.clip(y_pred, K.epsilon(), None) + 1.)\n second_log = K.log(K.clip(y_true, K.epsilon(), None) + 1.)\n return K.mean(K.square(first_log - second_log), axis=-1)\n\n\ndef squared_hinge(y_true, y_pred):\n return K.mean(K.square(K.maximum(1. - y_true * y_pred, 0.)), axis=-1)\n\n\ndef hinge(y_true, y_pred):\n return K.mean(K.maximum(1. - y_true * y_pred, 0.), axis=-1)\n\n\ndef categorical_hinge(y_true, y_pred):\n pos = K.sum(y_true * y_pred, axis=-1)\n neg = K.max((1. - y_true) * y_pred, axis=-1)\n return K.maximum(0., neg - pos + 1.)\n\n\ndef logcosh(y_true, y_pred):\n def cosh(x):\n return (K.exp(x) + K.exp(-x)) / 2\n return K.mean(K.log(cosh(y_pred - y_true)), axis=-1)\n\n\ndef categorical_crossentropy(y_true, y_pred):\n return K.categorical_crossentropy(y_true, y_pred)\n\n\ndef sparse_categorical_crossentropy(y_true, y_pred):\n return K.sparse_categorical_crossentropy(y_true, y_pred)\n\n\ndef binary_crossentropy(y_true, y_pred):\n return K.mean(K.binary_crossentropy(y_true, y_pred), axis=-1)\n\n\ndef kullback_leibler_divergence(y_true, y_pred):\n y_true = K.clip(y_true, K.epsilon(), 1)\n y_pred = K.clip(y_pred, K.epsilon(), 1)\n return K.sum(y_true * K.log(y_true / y_pred), axis=-1)\n\n\ndef poisson(y_true, y_pred):\n return K.mean(y_pred - y_true * K.log(y_pred + K.epsilon()), axis=-1)\n\n\ndef cosine_proximity(y_true, y_pred):\n y_true = K.l2_normalize(y_true, axis=-1)\n y_pred = K.l2_normalize(y_pred, axis=-1)\n return -K.mean(y_true * y_pred, axis=-1)\n\n\n# Aliases.\n\nmse = MSE = mean_squared_error\nmae = MAE = mean_absolute_error\nmape = MAPE = mean_absolute_percentage_error\nmsle = MSLE = mean_squared_logarithmic_error\nkld = KLD = kullback_leibler_divergence\ncosine = cosine_proximity\n\n\ndef serialize(loss):\n return loss.__name__\n\n\ndef deserialize(name, custom_objects=None):\n return deserialize_keras_object(name,\n module_objects=globals(),\n custom_objects=custom_objects,\n printable_module_name='loss function')\n\n\ndef get(identifier):\n if identifier is None:\n return None\n if isinstance(identifier, six.string_types):\n identifier = str(identifier)\n return deserialize(identifier)\n elif callable(identifier):\n return identifier\n else:\n raise ValueError('Could not interpret '\n 'loss function identifier:', identifier)\n", "path": "keras/losses.py" } ]
[ { "content": "from __future__ import absolute_import\nimport six\nfrom . import backend as K\nfrom .utils.generic_utils import deserialize_keras_object\n\n\n# noinspection SpellCheckingInspection\ndef mean_squared_error(y_true, y_pred):\n return K.mean(K.square(y_pred - y_true), axis=-1)\n\n\ndef mean_absolute_error(y_true, y_pred):\n return K.mean(K.abs(y_pred - y_true), axis=-1)\n\n\ndef mean_absolute_percentage_error(y_true, y_pred):\n diff = K.abs((y_true - y_pred) / K.clip(K.abs(y_true),\n K.epsilon(),\n None))\n return 100. * K.mean(diff, axis=-1)\n\n\ndef mean_squared_logarithmic_error(y_true, y_pred):\n first_log = K.log(K.clip(y_pred, K.epsilon(), None) + 1.)\n second_log = K.log(K.clip(y_true, K.epsilon(), None) + 1.)\n return K.mean(K.square(first_log - second_log), axis=-1)\n\n\ndef squared_hinge(y_true, y_pred):\n return K.mean(K.square(K.maximum(1. - y_true * y_pred, 0.)), axis=-1)\n\n\ndef hinge(y_true, y_pred):\n return K.mean(K.maximum(1. - y_true * y_pred, 0.), axis=-1)\n\n\ndef categorical_hinge(y_true, y_pred):\n pos = K.sum(y_true * y_pred, axis=-1)\n neg = K.max((1. - y_true) * y_pred, axis=-1)\n return K.maximum(0., neg - pos + 1.)\n\n\ndef logcosh(y_true, y_pred):\n def cosh(x):\n return (K.exp(x) + K.exp(-x)) / 2\n return K.mean(K.log(cosh(y_pred - y_true)), axis=-1)\n\n\ndef categorical_crossentropy(y_true, y_pred):\n return K.categorical_crossentropy(y_true, y_pred)\n\n\ndef sparse_categorical_crossentropy(y_true, y_pred):\n return K.sparse_categorical_crossentropy(y_true, y_pred)\n\n\ndef binary_crossentropy(y_true, y_pred):\n return K.mean(K.binary_crossentropy(y_true, y_pred), axis=-1)\n\n\ndef kullback_leibler_divergence(y_true, y_pred):\n y_true = K.clip(y_true, K.epsilon(), 1)\n y_pred = K.clip(y_pred, K.epsilon(), 1)\n return K.sum(y_true * K.log(y_true / y_pred), axis=-1)\n\n\ndef poisson(y_true, y_pred):\n return K.mean(y_pred - y_true * K.log(y_pred + K.epsilon()), axis=-1)\n\n\ndef cosine_proximity(y_true, y_pred):\n y_true = K.l2_normalize(y_true, axis=-1)\n y_pred = K.l2_normalize(y_pred, axis=-1)\n return -K.sum(y_true * y_pred, axis=-1)\n\n\n# Aliases.\n\nmse = MSE = mean_squared_error\nmae = MAE = mean_absolute_error\nmape = MAPE = mean_absolute_percentage_error\nmsle = MSLE = mean_squared_logarithmic_error\nkld = KLD = kullback_leibler_divergence\ncosine = cosine_proximity\n\n\ndef serialize(loss):\n return loss.__name__\n\n\ndef deserialize(name, custom_objects=None):\n return deserialize_keras_object(name,\n module_objects=globals(),\n custom_objects=custom_objects,\n printable_module_name='loss function')\n\n\ndef get(identifier):\n if identifier is None:\n return None\n if isinstance(identifier, six.string_types):\n identifier = str(identifier)\n return deserialize(identifier)\n elif callable(identifier):\n return identifier\n else:\n raise ValueError('Could not interpret '\n 'loss function identifier:', identifier)\n", "path": "keras/losses.py" } ]
diff --git a/keras/losses.py b/keras/losses.py index b25a8bd91b56..0c45502de568 100644 --- a/keras/losses.py +++ b/keras/losses.py @@ -71,7 +71,7 @@ def poisson(y_true, y_pred): def cosine_proximity(y_true, y_pred): y_true = K.l2_normalize(y_true, axis=-1) y_pred = K.l2_normalize(y_pred, axis=-1) - return -K.mean(y_true * y_pred, axis=-1) + return -K.sum(y_true * y_pred, axis=-1) # Aliases.
Wrong result for cosine proximity: keras 2.0.8 # Conclusion: Observation of keras cosine proximity stuck as -1/3 # As noted by numerous post, Keras seriously currently has an issue with cosine proximity: https://github.com/fchollet/keras/issues/3031 https://github.com/fchollet/keras/issues/5046 Here is the code in jupyter notebook for simple test: ``` import keras from keras.layers import Input, Dense from keras.models import Model import numpy as np # --> print keras version print keras.__version__ # --> compute average cosine between all angles samples def computeMeanConsineAngle(x,y): cosMean = 0 numSample = x.shape[0] for i in xrange(numSample): cosMean += np.dot(x[i,:],y[i,:])/np.sqrt(np.dot(x[i,:],x[i,:])*np.dot(y[i,:],y[i,:])) return cosMean/float(numSample) X = np.random.random((1000,3)) Y = X inputs = Input(shape=(3,)) preds = Dense(3,activation='linear')(inputs) model = Model(inputs=inputs,outputs=preds) sgd=keras.optimizers.Adam(lr=1e-2) model.compile(optimizer=sgd ,loss='mse',metrics=['cosine_proximity']) model.fit(X,Y, batch_size=1000, epochs=500, shuffle=False) pred = model.predict(X) from sklearn.metrics import mean_squared_error mse = mean_squared_error(X, pred) %pylab %matplotlib inline plt.scatter(pred,Y) print 'mse = ', mse print computeMeanConsineAngle(pred, Y) testX = np.array([[1,0]]) testY = np.array([[1,0]]) - computeMeanConsineAngle(testX,testY) ``` The printed result is ``` Epoch 500/500 1000/1000 [==============================] - 0s - loss: 7.1132e-04 - cosine_proximity: -0.3329 Using matplotlib backend: TkAgg Populating the interactive namespace from numpy and matplotlib mse = 0.000703760391565 0.998615947541 ``` **So the true cosine proximity is actually 0.9986, but keras shows near -1/3. Of course keras would use the negative of cosine proximity for minimization purpose, but it should be -0.9986.., in any case, don't trust the outcome of metric in keras cosine proximity**
encode__django-rest-framework-5344
[ { "content": "r\"\"\"\n______ _____ _____ _____ __\n| ___ \\ ___/ ___|_ _| / _| | |\n| |_/ / |__ \\ `--. | | | |_ _ __ __ _ _ __ ___ _____ _____ _ __| |__\n| /| __| `--. \\ | | | _| '__/ _` | '_ ` _ \\ / _ \\ \\ /\\ / / _ \\| '__| |/ /\n| |\\ \\| |___/\\__/ / | | | | | | | (_| | | | | | | __/\\ V V / (_) | | | <\n\\_| \\_\\____/\\____/ \\_/ |_| |_| \\__,_|_| |_| |_|\\___| \\_/\\_/ \\___/|_| |_|\\_|\n\"\"\"\n\n__title__ = 'Django REST framework'\n__version__ = '3.6.3'\n__author__ = 'Tom Christie'\n__license__ = 'BSD 2-Clause'\n__copyright__ = 'Copyright 2011-2017 Tom Christie'\n\n# Version synonym\nVERSION = __version__\n\n# Header encoding (see RFC5987)\nHTTP_HEADER_ENCODING = 'iso-8859-1'\n\n# Default datetime input and output formats\nISO_8601 = 'iso-8601'\n", "path": "rest_framework/__init__.py" } ]
[ { "content": "r\"\"\"\n______ _____ _____ _____ __\n| ___ \\ ___/ ___|_ _| / _| | |\n| |_/ / |__ \\ `--. | | | |_ _ __ __ _ _ __ ___ _____ _____ _ __| |__\n| /| __| `--. \\ | | | _| '__/ _` | '_ ` _ \\ / _ \\ \\ /\\ / / _ \\| '__| |/ /\n| |\\ \\| |___/\\__/ / | | | | | | | (_| | | | | | | __/\\ V V / (_) | | | <\n\\_| \\_\\____/\\____/ \\_/ |_| |_| \\__,_|_| |_| |_|\\___| \\_/\\_/ \\___/|_| |_|\\_|\n\"\"\"\n\n__title__ = 'Django REST framework'\n__version__ = '3.6.4'\n__author__ = 'Tom Christie'\n__license__ = 'BSD 2-Clause'\n__copyright__ = 'Copyright 2011-2017 Tom Christie'\n\n# Version synonym\nVERSION = __version__\n\n# Header encoding (see RFC5987)\nHTTP_HEADER_ENCODING = 'iso-8859-1'\n\n# Default datetime input and output formats\nISO_8601 = 'iso-8601'\n", "path": "rest_framework/__init__.py" } ]
diff --git a/docs/topics/release-notes.md b/docs/topics/release-notes.md index 7bdd7b0b16..78dd334eeb 100644 --- a/docs/topics/release-notes.md +++ b/docs/topics/release-notes.md @@ -40,6 +40,35 @@ You can determine your currently installed version using `pip freeze`: ## 3.6.x series +### 3.6.4 + +**Date**: [21st August 2017][3.6.4-milestone] + +* Ignore any invalidly formed query parameters for OrderingFilter. [#5131][gh5131] +* Improve memory footprint when reading large JSON requests. [#5147][gh5147] +* Fix schema generation for pagination. [#5161][gh5161] +* Fix exception when `HTML_CUTOFF` is set to `None`. [#5174][gh5174] +* Fix browsable API not supporting `multipart/form-data` correctly. [#5176][gh5176] +* Fixed `test_hyperlinked_related_lookup_url_encoded_exists`. [#5179][gh5179] +* Make sure max_length is in FileField kwargs. [#5186][gh5186] +* Fix `list_route` & `detail_route` with kwargs contains curly bracket in `url_path` [#5187][gh5187] +* Add Django manage command to create a DRF user Token. [#5188][gh5188] +* Ensure API documentation templates do not check for user authentication [#5162][gh5162] +* Fix special case where OneToOneField is also primary key. [#5192][gh5192] +* Added aria-label and a new region for accessibility purposes in base.html [#5196][gh5196] +* Quote nested API parameters in api.js. [#5214][gh5214] +* Set ViewSet args/kwargs/request before dispatch. [#5229][gh5229] +* Added unicode support to SlugField. [#5231][gh5231] +* Fix HiddenField appears in Raw Data form initial content. [#5259][gh5259] +* Raise validation error on invalid timezone parsing. [#5261][gh5261] +* Fix SearchFilter to-many behavior/performance. [#5264][gh5264] +* Simplified chained comparisons and minor code fixes. [#5276][gh5276] +* RemoteUserAuthentication, docs, and tests. [#5306][gh5306] +* Revert "Cached the field's root and context property" [#5313][gh5313] +* Fix introspection of list field in schema. [#5326][gh5326] +* Fix interactive docs for multiple nested and extra methods. [#5334][gh5334] +* Fix/remove undefined template var "schema" [#5346][gh5346] + ### 3.6.3 **Date**: [12th May 2017][3.6.3-milestone] @@ -716,6 +745,7 @@ For older release notes, [please see the version 2.x documentation][old-release- [3.6.1-milestone]: https://github.com/encode/django-rest-framework/issues?q=milestone%3A%223.6.1+Release%22 [3.6.2-milestone]: https://github.com/encode/django-rest-framework/issues?q=milestone%3A%223.6.2+Release%22 [3.6.3-milestone]: https://github.com/encode/django-rest-framework/issues?q=milestone%3A%223.6.3+Release%22 +[3.6.4-milestone]: https://github.com/encode/django-rest-framework/issues?q=milestone%3A%223.6.4+Release%22 <!-- 3.0.1 --> [gh2013]: https://github.com/encode/django-rest-framework/issues/2013 @@ -1326,8 +1356,8 @@ For older release notes, [please see the version 2.x documentation][old-release- [gh4955]: https://github.com/encode/django-rest-framework/issues/4955 [gh4956]: https://github.com/encode/django-rest-framework/issues/4956 [gh4949]: https://github.com/encode/django-rest-framework/issues/4949 -<!-- 3.6.3 --> +<!-- 3.6.3 --> [gh5126]: https://github.com/encode/django-rest-framework/issues/5126 [gh5085]: https://github.com/encode/django-rest-framework/issues/5085 [gh4437]: https://github.com/encode/django-rest-framework/issues/4437 @@ -1360,3 +1390,32 @@ For older release notes, [please see the version 2.x documentation][old-release- [gh4968]: https://github.com/encode/django-rest-framework/issues/4968 [gh5089]: https://github.com/encode/django-rest-framework/issues/5089 [gh5117]: https://github.com/encode/django-rest-framework/issues/5117 + +<!-- 3.6.4 --> +[gh5346]: https://github.com/encode/django-rest-framework/issues/5346 +[gh5334]: https://github.com/encode/django-rest-framework/issues/5334 +[gh5326]: https://github.com/encode/django-rest-framework/issues/5326 +[gh5313]: https://github.com/encode/django-rest-framework/issues/5313 +[gh5306]: https://github.com/encode/django-rest-framework/issues/5306 +[gh5276]: https://github.com/encode/django-rest-framework/issues/5276 +[gh5264]: https://github.com/encode/django-rest-framework/issues/5264 +[gh5261]: https://github.com/encode/django-rest-framework/issues/5261 +[gh5259]: https://github.com/encode/django-rest-framework/issues/5259 +[gh5231]: https://github.com/encode/django-rest-framework/issues/5231 +[gh5229]: https://github.com/encode/django-rest-framework/issues/5229 +[gh5214]: https://github.com/encode/django-rest-framework/issues/5214 +[gh5196]: https://github.com/encode/django-rest-framework/issues/5196 +[gh5192]: https://github.com/encode/django-rest-framework/issues/5192 +[gh5162]: https://github.com/encode/django-rest-framework/issues/5162 +[gh5188]: https://github.com/encode/django-rest-framework/issues/5188 +[gh5187]: https://github.com/encode/django-rest-framework/issues/5187 +[gh5186]: https://github.com/encode/django-rest-framework/issues/5186 +[gh5179]: https://github.com/encode/django-rest-framework/issues/5179 +[gh5176]: https://github.com/encode/django-rest-framework/issues/5176 +[gh5174]: https://github.com/encode/django-rest-framework/issues/5174 +[gh5161]: https://github.com/encode/django-rest-framework/issues/5161 +[gh5147]: https://github.com/encode/django-rest-framework/issues/5147 +[gh5131]: https://github.com/encode/django-rest-framework/issues/5131 + + + diff --git a/rest_framework/__init__.py b/rest_framework/__init__.py index c0b5c4c041..9da9989e99 100644 --- a/rest_framework/__init__.py +++ b/rest_framework/__init__.py @@ -8,7 +8,7 @@ """ __title__ = 'Django REST framework' -__version__ = '3.6.3' +__version__ = '3.6.4' __author__ = 'Tom Christie' __license__ = 'BSD 2-Clause' __copyright__ = 'Copyright 2011-2017 Tom Christie' diff --git a/rest_framework/locale/ar/LC_MESSAGES/django.mo b/rest_framework/locale/ar/LC_MESSAGES/django.mo index 06471de238..bda2ce995f 100644 Binary files a/rest_framework/locale/ar/LC_MESSAGES/django.mo and b/rest_framework/locale/ar/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/ar/LC_MESSAGES/django.po b/rest_framework/locale/ar/LC_MESSAGES/django.po index 314356654a..ea53a2905c 100644 --- a/rest_framework/locale/ar/LC_MESSAGES/django.po +++ b/rest_framework/locale/ar/LC_MESSAGES/django.po @@ -3,15 +3,16 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: -# Bashar Al-Abdulhadi, 2016 +# aymen chaieb <[email protected]>, 2017 +# Bashar Al-Abdulhadi, 2016-2017 # Eyad Toma <[email protected]>, 2015 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-15 17:08+0000\n" +"Last-Translator: aymen chaieb <[email protected]>\n" "Language-Team: Arabic (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/ar/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -54,7 +55,7 @@ msgstr "" #: authentication.py:195 msgid "Invalid token." -msgstr "رمز غير صحيح" +msgstr "رمز غير صحيح." #: authtoken/apps.py:7 msgid "Auth Token" @@ -316,15 +317,15 @@ msgstr "أرسل" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "تصاعدي" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "تنازلي" #: pagination.py:193 msgid "Invalid page." -msgstr "صفحة غير صحيحة" +msgstr "صفحة غير صحيحة." #: pagination.py:427 msgid "Invalid cursor" @@ -382,13 +383,13 @@ msgstr "الترتيب" #: templates/rest_framework/filters/search.html:2 msgid "Search" -msgstr "البحث" +msgstr "بحث" #: templates/rest_framework/horizontal/radio.html:2 #: templates/rest_framework/inline/radio.html:2 #: templates/rest_framework/vertical/radio.html:2 msgid "None" -msgstr "" +msgstr "لا شيء" #: templates/rest_framework/horizontal/select_multiple.html:2 #: templates/rest_framework/inline/select_multiple.html:2 @@ -398,7 +399,7 @@ msgstr "" #: validators.py:43 msgid "This field must be unique." -msgstr "" +msgstr "هذا الحقل يجب أن يكون وحيد" #: validators.py:97 msgid "The fields {field_names} must make a unique set." @@ -438,4 +439,4 @@ msgstr "" #: views.py:88 msgid "Permission denied." -msgstr "" +msgstr "حق غير مصرح به" diff --git a/rest_framework/locale/ca/LC_MESSAGES/django.mo b/rest_framework/locale/ca/LC_MESSAGES/django.mo index 7418c1ed05..28faf17fff 100644 Binary files a/rest_framework/locale/ca/LC_MESSAGES/django.mo and b/rest_framework/locale/ca/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/ca/LC_MESSAGES/django.po b/rest_framework/locale/ca/LC_MESSAGES/django.po index 56f46319f7..f82de0068f 100644 --- a/rest_framework/locale/ca/LC_MESSAGES/django.po +++ b/rest_framework/locale/ca/LC_MESSAGES/django.po @@ -8,7 +8,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Catalan (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/ca/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/cs/LC_MESSAGES/django.mo b/rest_framework/locale/cs/LC_MESSAGES/django.mo index 1c98eb62d3..4352fb0913 100644 Binary files a/rest_framework/locale/cs/LC_MESSAGES/django.mo and b/rest_framework/locale/cs/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/cs/LC_MESSAGES/django.po b/rest_framework/locale/cs/LC_MESSAGES/django.po index 8ba9793509..b6ee1ea488 100644 --- a/rest_framework/locale/cs/LC_MESSAGES/django.po +++ b/rest_framework/locale/cs/LC_MESSAGES/django.po @@ -10,7 +10,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Czech (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/cs/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/da/LC_MESSAGES/django.mo b/rest_framework/locale/da/LC_MESSAGES/django.mo index 9c17c3a405..1983e068fc 100644 Binary files a/rest_framework/locale/da/LC_MESSAGES/django.mo and b/rest_framework/locale/da/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/da/LC_MESSAGES/django.po b/rest_framework/locale/da/LC_MESSAGES/django.po index 2903376add..9006956490 100644 --- a/rest_framework/locale/da/LC_MESSAGES/django.po +++ b/rest_framework/locale/da/LC_MESSAGES/django.po @@ -3,15 +3,15 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: -# Mads Jensen <[email protected]>, 2015-2016 +# Mads Jensen <[email protected]>, 2015-2017 # Mikkel Munch Mortensen <[email protected]>, 2015 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Mads Jensen <[email protected]>\n" "Language-Team: Danish (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/da/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -62,31 +62,31 @@ msgstr "" #: authtoken/models.py:15 msgid "Key" -msgstr "" +msgstr "Nøgle" #: authtoken/models.py:18 msgid "User" -msgstr "" +msgstr "Bruger" #: authtoken/models.py:20 msgid "Created" -msgstr "" +msgstr "Oprettet" #: authtoken/models.py:29 msgid "Token" -msgstr "" +msgstr "Token" #: authtoken/models.py:30 msgid "Tokens" -msgstr "" +msgstr "Tokens" #: authtoken/serializers.py:8 msgid "Username" -msgstr "" +msgstr "Brugernavn" #: authtoken/serializers.py:9 msgid "Password" -msgstr "" +msgstr "Kodeord" #: authtoken/serializers.py:20 msgid "User account is disabled." @@ -316,15 +316,15 @@ msgstr "Indsend." #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "stigende" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "faldende" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "Ugyldig side" #: pagination.py:427 msgid "Invalid cursor" @@ -426,7 +426,7 @@ msgstr "Ugyldig version i URL-stien." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Ugyldig version in URLen. Den stemmer ikke overens med nogen versionsnumre." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/de/LC_MESSAGES/django.mo b/rest_framework/locale/de/LC_MESSAGES/django.mo index 3171248865..eb0ddf66dd 100644 Binary files a/rest_framework/locale/de/LC_MESSAGES/django.mo and b/rest_framework/locale/de/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/de/LC_MESSAGES/django.po b/rest_framework/locale/de/LC_MESSAGES/django.po index 057a69f1cf..725a0f7579 100644 --- a/rest_framework/locale/de/LC_MESSAGES/django.po +++ b/rest_framework/locale/de/LC_MESSAGES/django.po @@ -4,6 +4,8 @@ # # Translators: # Fabian Büchler <[email protected]>, 2015 +# datKater <[email protected]>, 2017 +# Lukas Bischofberger <[email protected]>, 2017 # Mads Jensen <[email protected]>, 2015 # Niklas P <[email protected]>, 2015-2016 # Thomas Tanner, 2015 @@ -14,8 +16,8 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Lukas Bischofberger <[email protected]>\n" "Language-Team: German (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/de/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -74,7 +76,7 @@ msgstr "Benutzer" #: authtoken/models.py:20 msgid "Created" -msgstr "" +msgstr "Erzeugt" #: authtoken/models.py:29 msgid "Token" @@ -98,7 +100,7 @@ msgstr "Benutzerkonto ist gesperrt." #: authtoken/serializers.py:23 msgid "Unable to log in with provided credentials." -msgstr "Kann nicht mit den angegeben Zugangsdaten anmelden." +msgstr "Die angegebenen Zugangsdaten stimmen nicht." #: authtoken/serializers.py:26 msgid "Must include \"username\" and \"password\"." @@ -122,7 +124,7 @@ msgstr "Anmeldedaten fehlen." #: exceptions.py:99 msgid "You do not have permission to perform this action." -msgstr "Sie sind nicht berechtigt, diese Aktion durchzuführen." +msgstr "Sie sind nicht berechtigt diese Aktion durchzuführen." #: exceptions.py:104 views.py:81 msgid "Not found." @@ -151,7 +153,7 @@ msgstr "Dieses Feld ist erforderlich." #: fields.py:270 msgid "This field may not be null." -msgstr "Dieses Feld darf nicht Null sein." +msgstr "Dieses Feld darf nicht null sein." #: fields.py:608 fields.py:639 msgid "\"{input}\" is not a valid boolean." @@ -193,7 +195,7 @@ msgstr "\"{value}\" ist keine gültige UUID." #: fields.py:796 msgid "Enter a valid IPv4 or IPv6 address." -msgstr "Geben Sie eine gültige UPv4 oder IPv6 Adresse an" +msgstr "Geben Sie eine gültige IPv4 oder IPv6 Adresse an" #: fields.py:821 msgid "A valid integer is required." @@ -272,7 +274,7 @@ msgstr "Diese Auswahl darf nicht leer sein" #: fields.py:1339 msgid "\"{input}\" is not a valid path choice." -msgstr "\"{input}\" ist ein ungültiger Pfad Wahl." +msgstr "\"{input}\" ist ein ungültiger Pfad." #: fields.py:1358 msgid "No file was submitted." @@ -308,7 +310,7 @@ msgstr "Diese Liste darf nicht leer sein." #: fields.py:1502 msgid "Expected a dictionary of items but got type \"{input_type}\"." -msgstr "Erwarte ein Dictionary mit Elementen, erhielt aber den Typ \"{input_type}\"." +msgstr "Erwartete ein Dictionary mit Elementen, erhielt aber den Typ \"{input_type}\"." #: fields.py:1549 msgid "Value must be valid JSON." @@ -320,15 +322,15 @@ msgstr "Abschicken" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "Aufsteigend" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "Absteigend" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "Ungültige Seite." #: pagination.py:427 msgid "Invalid cursor" @@ -430,7 +432,7 @@ msgstr "Ungültige Version im URL Pfad." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Ungültige Version im URL-Pfad. Entspricht keinem Versions-Namensraum." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/el/LC_MESSAGES/django.mo b/rest_framework/locale/el/LC_MESSAGES/django.mo index c7fb97b2ca..d275dba3b7 100644 Binary files a/rest_framework/locale/el/LC_MESSAGES/django.mo and b/rest_framework/locale/el/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/el/LC_MESSAGES/django.po b/rest_framework/locale/el/LC_MESSAGES/django.po index be9bdf7171..18eb371c9f 100644 --- a/rest_framework/locale/el/LC_MESSAGES/django.po +++ b/rest_framework/locale/el/LC_MESSAGES/django.po @@ -9,7 +9,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Greek (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/el/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/es/LC_MESSAGES/django.mo b/rest_framework/locale/es/LC_MESSAGES/django.mo index 1ddc885dee..372bf6bf63 100644 Binary files a/rest_framework/locale/es/LC_MESSAGES/django.mo and b/rest_framework/locale/es/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/es/LC_MESSAGES/django.po b/rest_framework/locale/es/LC_MESSAGES/django.po index b8a89aeb65..c9b6e94559 100644 --- a/rest_framework/locale/es/LC_MESSAGES/django.po +++ b/rest_framework/locale/es/LC_MESSAGES/django.po @@ -6,6 +6,7 @@ # Ernesto Rico-Schmidt <[email protected]>, 2015 # José Padilla <[email protected]>, 2015 # Miguel Gonzalez <[email protected]>, 2015 +# Miguel Gonzalez <[email protected]>, 2016 # Miguel Gonzalez <[email protected]>, 2015-2016 # Sergio Infante <[email protected]>, 2015 msgid "" @@ -13,8 +14,8 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Miguel Gonzalez <[email protected]>\n" "Language-Team: Spanish (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/es/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -319,11 +320,11 @@ msgstr "Enviar" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "ascendiente" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "descendiente" #: pagination.py:193 msgid "Invalid page." @@ -429,7 +430,7 @@ msgstr "Versión inválida en la ruta de la URL." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "La versión especificada en la ruta de la URL no es válida. No coincide con ninguna del espacio de nombres de versiones." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/et/LC_MESSAGES/django.mo b/rest_framework/locale/et/LC_MESSAGES/django.mo index 8bed399309..eaadf454b6 100644 Binary files a/rest_framework/locale/et/LC_MESSAGES/django.mo and b/rest_framework/locale/et/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/et/LC_MESSAGES/django.po b/rest_framework/locale/et/LC_MESSAGES/django.po index c9701cca7c..cc2c2e3f05 100644 --- a/rest_framework/locale/et/LC_MESSAGES/django.po +++ b/rest_framework/locale/et/LC_MESSAGES/django.po @@ -9,7 +9,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Estonian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/et/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/fi/LC_MESSAGES/django.mo b/rest_framework/locale/fi/LC_MESSAGES/django.mo index cb13cdaae7..e0231cfb34 100644 Binary files a/rest_framework/locale/fi/LC_MESSAGES/django.mo and b/rest_framework/locale/fi/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/fi/LC_MESSAGES/django.po b/rest_framework/locale/fi/LC_MESSAGES/django.po index bf1dd8c10b..0791a30050 100644 --- a/rest_framework/locale/fi/LC_MESSAGES/django.po +++ b/rest_framework/locale/fi/LC_MESSAGES/django.po @@ -4,14 +4,14 @@ # # Translators: # Aarni Koskela, 2015 -# Aarni Koskela, 2015 +# Aarni Koskela, 2015-2016 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Aarni Koskela\n" "Language-Team: Finnish (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/fi/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -58,35 +58,35 @@ msgstr "Epäkelpo Token." #: authtoken/apps.py:7 msgid "Auth Token" -msgstr "" +msgstr "Autentikaatiotunniste" #: authtoken/models.py:15 msgid "Key" -msgstr "" +msgstr "Avain" #: authtoken/models.py:18 msgid "User" -msgstr "" +msgstr "Käyttäjä" #: authtoken/models.py:20 msgid "Created" -msgstr "" +msgstr "Luotu" #: authtoken/models.py:29 msgid "Token" -msgstr "" +msgstr "Tunniste" #: authtoken/models.py:30 msgid "Tokens" -msgstr "" +msgstr "Tunnisteet" #: authtoken/serializers.py:8 msgid "Username" -msgstr "" +msgstr "Käyttäjänimi" #: authtoken/serializers.py:9 msgid "Password" -msgstr "" +msgstr "Salasana" #: authtoken/serializers.py:20 msgid "User account is disabled." @@ -316,15 +316,15 @@ msgstr "Lähetä" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "nouseva" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "laskeva" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "Epäkelpo sivu." #: pagination.py:427 msgid "Invalid cursor" @@ -426,7 +426,7 @@ msgstr "Epäkelpo versio URL-polussa." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "URL-polun versio ei täsmää mihinkään versionimiavaruuteen." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/fr/LC_MESSAGES/django.mo b/rest_framework/locale/fr/LC_MESSAGES/django.mo index 2bc60c63a1..e3ba4a2c50 100644 Binary files a/rest_framework/locale/fr/LC_MESSAGES/django.mo and b/rest_framework/locale/fr/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/fr/LC_MESSAGES/django.po b/rest_framework/locale/fr/LC_MESSAGES/django.po index 284999a8b6..25b39e453f 100644 --- a/rest_framework/locale/fr/LC_MESSAGES/django.po +++ b/rest_framework/locale/fr/LC_MESSAGES/django.po @@ -12,8 +12,8 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Xavier Ordoquy <[email protected]>\n" "Language-Team: French (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/fr/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -318,11 +318,11 @@ msgstr "Envoyer" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "croissant" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "décroissant" #: pagination.py:193 msgid "Invalid page." @@ -428,7 +428,7 @@ msgstr "Version non valide dans l'URL." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Version invalide dans l'URL. Ne correspond à aucune version de l'espace de nommage." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/hu/LC_MESSAGES/django.mo b/rest_framework/locale/hu/LC_MESSAGES/django.mo index cb27fb740a..8b884fbed0 100644 Binary files a/rest_framework/locale/hu/LC_MESSAGES/django.mo and b/rest_framework/locale/hu/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/hu/LC_MESSAGES/django.po b/rest_framework/locale/hu/LC_MESSAGES/django.po index 7f3081fff9..9002f8e614 100644 --- a/rest_framework/locale/hu/LC_MESSAGES/django.po +++ b/rest_framework/locale/hu/LC_MESSAGES/django.po @@ -9,7 +9,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Hungarian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/hu/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/it/LC_MESSAGES/django.mo b/rest_framework/locale/it/LC_MESSAGES/django.mo index 5d52d3dcfd..a9510eb89b 100644 Binary files a/rest_framework/locale/it/LC_MESSAGES/django.mo and b/rest_framework/locale/it/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/it/LC_MESSAGES/django.po b/rest_framework/locale/it/LC_MESSAGES/django.po index 6a48c53a7c..a48f8645dc 100644 --- a/rest_framework/locale/it/LC_MESSAGES/django.po +++ b/rest_framework/locale/it/LC_MESSAGES/django.po @@ -12,7 +12,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Italian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/it/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/ja/LC_MESSAGES/django.mo b/rest_framework/locale/ja/LC_MESSAGES/django.mo index 1f934cc378..9ce42cfb36 100644 Binary files a/rest_framework/locale/ja/LC_MESSAGES/django.mo and b/rest_framework/locale/ja/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/ja/LC_MESSAGES/django.po b/rest_framework/locale/ja/LC_MESSAGES/django.po index d2881dec9f..a5e72d9a13 100644 --- a/rest_framework/locale/ja/LC_MESSAGES/django.po +++ b/rest_framework/locale/ja/LC_MESSAGES/django.po @@ -4,13 +4,14 @@ # # Translators: # Hiroaki Nakamura <[email protected]>, 2016 +# Kouichi Nishizawa <[email protected]>, 2017 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Kouichi Nishizawa <[email protected]>\n" "Language-Team: Japanese (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/ja/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -315,15 +316,15 @@ msgstr "提出" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "昇順" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "降順" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "不正なページです。" #: pagination.py:427 msgid "Invalid cursor" @@ -425,7 +426,7 @@ msgstr "URLパス内のバージョンが不正です。" #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "不正なバージョンのURLのパスです。どのバージョンの名前空間にも一致しません。" #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/ko_KR/LC_MESSAGES/django.mo b/rest_framework/locale/ko_KR/LC_MESSAGES/django.mo index 6410f0b1cd..f83b7ed71b 100644 Binary files a/rest_framework/locale/ko_KR/LC_MESSAGES/django.mo and b/rest_framework/locale/ko_KR/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/ko_KR/LC_MESSAGES/django.po b/rest_framework/locale/ko_KR/LC_MESSAGES/django.po index 4ca53b3c30..152bc7b00d 100644 --- a/rest_framework/locale/ko_KR/LC_MESSAGES/django.po +++ b/rest_framework/locale/ko_KR/LC_MESSAGES/django.po @@ -3,14 +3,15 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: +# Joon Hwan 김준환 <[email protected]>, 2017 # SUN CHOI <[email protected]>, 2015 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Joon Hwan 김준환 <[email protected]>\n" "Language-Team: Korean (Korea) (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/ko_KR/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -247,7 +248,7 @@ msgstr "Time의 포멧이 잘못되었습니다. 이 형식들 중 한가지를 #: fields.py:1232 msgid "Duration has wrong format. Use one of these formats instead: {format}." -msgstr "" +msgstr "Duration의 포멧이 잘못되었습니다. 이 형식들 중 한가지를 사용하세요: {format}." #: fields.py:1251 fields.py:1300 msgid "\"{input}\" is not a valid choice." @@ -263,11 +264,11 @@ msgstr "아이템 리스트가 예상되었으나 \"{input_type}\"를 받았습 #: fields.py:1302 msgid "This selection may not be empty." -msgstr "" +msgstr "이 선택 항목은 비워 둘 수 없습니다." #: fields.py:1339 msgid "\"{input}\" is not a valid path choice." -msgstr "" +msgstr "\"{input}\"이 유효하지 않은 경로 선택입니다." #: fields.py:1358 msgid "No file was submitted." @@ -299,7 +300,7 @@ msgstr "유효한 이미지 파일을 업로드 하십시오. 업로드 하신 #: fields.py:1449 relations.py:438 serializers.py:525 msgid "This list may not be empty." -msgstr "" +msgstr "이 리스트는 비워 둘 수 없습니다." #: fields.py:1502 msgid "Expected a dictionary of items but got type \"{input_type}\"." @@ -307,7 +308,7 @@ msgstr "아이템 딕셔너리가 예상되었으나 \"{input_type}\" 타입을 #: fields.py:1549 msgid "Value must be valid JSON." -msgstr "" +msgstr "Value 는 유효한 JSON형식이어야 합니다." #: filters.py:36 templates/rest_framework/filters/django_filter.html:5 msgid "Submit" @@ -315,15 +316,15 @@ msgstr "" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "오름차순" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "내림차순" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "페이지가 유효하지 않습니다." #: pagination.py:427 msgid "Invalid cursor" @@ -381,7 +382,7 @@ msgstr "" #: templates/rest_framework/filters/search.html:2 msgid "Search" -msgstr "" +msgstr "검색" #: templates/rest_framework/horizontal/radio.html:2 #: templates/rest_framework/inline/radio.html:2 @@ -401,19 +402,19 @@ msgstr "이 칸은 반드시 고유해야 합니다." #: validators.py:97 msgid "The fields {field_names} must make a unique set." -msgstr "" +msgstr "{field_names} 필드는 반드시 고유하게 설정해야 합니다." #: validators.py:245 msgid "This field must be unique for the \"{date_field}\" date." -msgstr "" +msgstr "이 칸은 \"{date_field}\"날짜에 대해 고유해야합니다." #: validators.py:260 msgid "This field must be unique for the \"{date_field}\" month." -msgstr "" +msgstr "이 칸은 \"{date_field}\" 월에 대해 고유해야합니다." #: validators.py:273 msgid "This field must be unique for the \"{date_field}\" year." -msgstr "" +msgstr "이 칸은 \"{date_field}\" 년에 대해 고유해야합니다." #: versioning.py:42 msgid "Invalid version in \"Accept\" header." @@ -425,7 +426,7 @@ msgstr "URL path내 버전이 유효하지 않습니다." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "URL 경로에 유효하지 않은 버전이 있습니다. 버전 네임 스페이스와 일치하지 않습니다." #: versioning.py:147 msgid "Invalid version in hostname." @@ -437,4 +438,4 @@ msgstr "쿼리 파라메터내 버전이 유효하지 않습니다." #: views.py:88 msgid "Permission denied." -msgstr "" +msgstr "사용 권한이 거부되었습니다." diff --git a/rest_framework/locale/lv/LC_MESSAGES/django.mo b/rest_framework/locale/lv/LC_MESSAGES/django.mo new file mode 100644 index 0000000000..2dc5956f3c Binary files /dev/null and b/rest_framework/locale/lv/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/lv/LC_MESSAGES/django.po b/rest_framework/locale/lv/LC_MESSAGES/django.po new file mode 100644 index 0000000000..2bc978866a --- /dev/null +++ b/rest_framework/locale/lv/LC_MESSAGES/django.po @@ -0,0 +1,440 @@ +# SOME DESCRIPTIVE TITLE. +# Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER +# This file is distributed under the same license as the PACKAGE package. +# +# Translators: +# peterisb <[email protected]>, 2017 +msgid "" +msgstr "" +"Project-Id-Version: Django REST framework\n" +"Report-Msgid-Bugs-To: \n" +"POT-Creation-Date: 2016-07-12 16:13+0100\n" +"PO-Revision-Date: 2017-08-05 12:13+0000\n" +"Last-Translator: peterisb <[email protected]>\n" +"Language-Team: Latvian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/lv/)\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: lv\n" +"Plural-Forms: nplurals=3; plural=(n%10==1 && n%100!=11 ? 0 : n != 0 ? 1 : 2);\n" + +#: authentication.py:73 +msgid "Invalid basic header. No credentials provided." +msgstr "Nederīgs pieprasījuma sākums. Akreditācijas parametri nav nodrošināti." + +#: authentication.py:76 +msgid "Invalid basic header. Credentials string should not contain spaces." +msgstr "Nederīgs pieprasījuma sākums. Akreditācijas parametriem jābūt bez atstarpēm." + +#: authentication.py:82 +msgid "Invalid basic header. Credentials not correctly base64 encoded." +msgstr "Nederīgs pieprasījuma sākums. Akreditācijas parametri nav korekti base64 kodēti." + +#: authentication.py:99 +msgid "Invalid username/password." +msgstr "Nederīgs lietotājvārds/parole." + +#: authentication.py:102 authentication.py:198 +msgid "User inactive or deleted." +msgstr "Lietotājs neaktīvs vai dzēsts." + +#: authentication.py:176 +msgid "Invalid token header. No credentials provided." +msgstr "Nederīgs pilnvaras sākums. Akreditācijas parametri nav nodrošināti." + +#: authentication.py:179 +msgid "Invalid token header. Token string should not contain spaces." +msgstr "Nederīgs pilnvaras sākums. Pilnvaras parametros nevar būt tukšumi." + +#: authentication.py:185 +msgid "" +"Invalid token header. Token string should not contain invalid characters." +msgstr "Nederīgs pilnvaras sākums. Pilnvaras parametros nevar būt nederīgas zīmes." + +#: authentication.py:195 +msgid "Invalid token." +msgstr "Nederīga pilnavara." + +#: authtoken/apps.py:7 +msgid "Auth Token" +msgstr "Autorizācijas pilnvara" + +#: authtoken/models.py:15 +msgid "Key" +msgstr "Atslēga" + +#: authtoken/models.py:18 +msgid "User" +msgstr "Lietotājs" + +#: authtoken/models.py:20 +msgid "Created" +msgstr "Izveidots" + +#: authtoken/models.py:29 +msgid "Token" +msgstr "Pilnvara" + +#: authtoken/models.py:30 +msgid "Tokens" +msgstr "Pilnvaras" + +#: authtoken/serializers.py:8 +msgid "Username" +msgstr "Lietotājvārds" + +#: authtoken/serializers.py:9 +msgid "Password" +msgstr "Parole" + +#: authtoken/serializers.py:20 +msgid "User account is disabled." +msgstr "Lietotāja konts ir atslēgts." + +#: authtoken/serializers.py:23 +msgid "Unable to log in with provided credentials." +msgstr "Neiespējami pieteikties sistēmā ar nodrošinātajiem akreditācijas datiem." + +#: authtoken/serializers.py:26 +msgid "Must include \"username\" and \"password\"." +msgstr "Jābūt iekļautam \"username\" un \"password\"." + +#: exceptions.py:49 +msgid "A server error occurred." +msgstr "Notikusi servera kļūda." + +#: exceptions.py:84 +msgid "Malformed request." +msgstr "Nenoformēts pieprasījums." + +#: exceptions.py:89 +msgid "Incorrect authentication credentials." +msgstr "Nekorekti autentifikācijas parametri." + +#: exceptions.py:94 +msgid "Authentication credentials were not provided." +msgstr "Netika nodrošināti autorizācijas parametri." + +#: exceptions.py:99 +msgid "You do not have permission to perform this action." +msgstr "Tev nav tiesību veikt šo darbību." + +#: exceptions.py:104 views.py:81 +msgid "Not found." +msgstr "Nav atrasts." + +#: exceptions.py:109 +msgid "Method \"{method}\" not allowed." +msgstr "Metode \"{method}\" nav atļauta." + +#: exceptions.py:120 +msgid "Could not satisfy the request Accept header." +msgstr "Nevarēja apmierināt pieprasījuma Accept header." + +#: exceptions.py:132 +msgid "Unsupported media type \"{media_type}\" in request." +msgstr "Pieprasījumā neatbalstīts datu tips \"{media_type}\" ." + +#: exceptions.py:145 +msgid "Request was throttled." +msgstr "Pieprasījums tika apturēts." + +#: fields.py:269 relations.py:206 relations.py:239 validators.py:98 +#: validators.py:181 +msgid "This field is required." +msgstr "Šis lauks ir obligāts." + +#: fields.py:270 +msgid "This field may not be null." +msgstr "Šis lauks nevar būt null." + +#: fields.py:608 fields.py:639 +msgid "\"{input}\" is not a valid boolean." +msgstr "\"{input}\" ir nederīga loģiskā vērtība." + +#: fields.py:674 +msgid "This field may not be blank." +msgstr "Šis lauks nevar būt tukšs." + +#: fields.py:675 fields.py:1675 +msgid "Ensure this field has no more than {max_length} characters." +msgstr "Pārliecinies, ka laukā nav vairāk par {max_length} zīmēm." + +#: fields.py:676 +msgid "Ensure this field has at least {min_length} characters." +msgstr "Pārliecinies, ka laukā ir vismaz {min_length} zīmes." + +#: fields.py:713 +msgid "Enter a valid email address." +msgstr "Ievadi derīgu e-pasta adresi." + +#: fields.py:724 +msgid "This value does not match the required pattern." +msgstr "Šī vērtība neatbilst prasītajam pierakstam." + +#: fields.py:735 +msgid "" +"Enter a valid \"slug\" consisting of letters, numbers, underscores or " +"hyphens." +msgstr "Ievadi derīgu \"slug\" vērtību, kura sastāv no burtiem, skaitļiem, apakš-svītras vai defises." + +#: fields.py:747 +msgid "Enter a valid URL." +msgstr "Ievadi derīgu URL." + +#: fields.py:760 +msgid "\"{value}\" is not a valid UUID." +msgstr "\"{value}\" ir nedrīgs UUID." + +#: fields.py:796 +msgid "Enter a valid IPv4 or IPv6 address." +msgstr "Ievadi derīgu IPv4 vai IPv6 adresi." + +#: fields.py:821 +msgid "A valid integer is required." +msgstr "Prasīta ir derīga skaitliska vērtība." + +#: fields.py:822 fields.py:857 fields.py:891 +msgid "Ensure this value is less than or equal to {max_value}." +msgstr "Pārliecinies, ka šī vērtība ir mazāka vai vienāda ar {max_value}." + +#: fields.py:823 fields.py:858 fields.py:892 +msgid "Ensure this value is greater than or equal to {min_value}." +msgstr "Pārliecinies, ka šī vērtība ir lielāka vai vienāda ar {min_value}." + +#: fields.py:824 fields.py:859 fields.py:896 +msgid "String value too large." +msgstr "Teksta vērtība pārāk liela." + +#: fields.py:856 fields.py:890 +msgid "A valid number is required." +msgstr "Derīgs skaitlis ir prasīts." + +#: fields.py:893 +msgid "Ensure that there are no more than {max_digits} digits in total." +msgstr "Pārliecinies, ka nav vairāk par {max_digits} zīmēm kopā." + +#: fields.py:894 +msgid "" +"Ensure that there are no more than {max_decimal_places} decimal places." +msgstr "Pārliecinies, ka nav vairāk par {max_decimal_places} decimālajām zīmēm." + +#: fields.py:895 +msgid "" +"Ensure that there are no more than {max_whole_digits} digits before the " +"decimal point." +msgstr "Pārliecinies, ka nav vairāk par {max_whole_digits} zīmēm pirms komata." + +#: fields.py:1025 +msgid "Datetime has wrong format. Use one of these formats instead: {format}." +msgstr "Datuma un laika formāts ir nepareizs. Lieto vienu no norādītajiem formātiem: \"{format}.\"" + +#: fields.py:1026 +msgid "Expected a datetime but got a date." +msgstr "Tika gaidīts datums un laiks, saņemts datums.." + +#: fields.py:1103 +msgid "Date has wrong format. Use one of these formats instead: {format}." +msgstr "Datumam ir nepareizs formāts. Lieto vienu no norādītajiem formātiem: {format}." + +#: fields.py:1104 +msgid "Expected a date but got a datetime." +msgstr "Tika gaidīts datums, saņemts datums un laiks." + +#: fields.py:1170 +msgid "Time has wrong format. Use one of these formats instead: {format}." +msgstr "Laikam ir nepareizs formāts. Lieto vienu no norādītajiem formātiem: {format}." + +#: fields.py:1232 +msgid "Duration has wrong format. Use one of these formats instead: {format}." +msgstr "Ilgumam ir nepreizs formāts. Lieto vienu no norādītajiem formātiem: {format}." + +#: fields.py:1251 fields.py:1300 +msgid "\"{input}\" is not a valid choice." +msgstr "\"{input}\" ir nederīga izvēle." + +#: fields.py:1254 relations.py:71 relations.py:441 +msgid "More than {count} items..." +msgstr "Vairāk par {count} ierakstiem..." + +#: fields.py:1301 fields.py:1448 relations.py:437 serializers.py:524 +msgid "Expected a list of items but got type \"{input_type}\"." +msgstr "Tika gaidīts saraksts ar ierakstiem, bet tika saņemts \"{input_type}\" tips." + +#: fields.py:1302 +msgid "This selection may not be empty." +msgstr "Šī daļa nevar būt tukša." + +#: fields.py:1339 +msgid "\"{input}\" is not a valid path choice." +msgstr "\"{input}\" ir nederīga ceļa izvēle." + +#: fields.py:1358 +msgid "No file was submitted." +msgstr "Neviens fails netika pievienots." + +#: fields.py:1359 +msgid "" +"The submitted data was not a file. Check the encoding type on the form." +msgstr "Pievienotie dati nebija fails. Pārbaudi kodējuma tipu formā." + +#: fields.py:1360 +msgid "No filename could be determined." +msgstr "Faila nosaukums nevar tikt noteikts." + +#: fields.py:1361 +msgid "The submitted file is empty." +msgstr "Pievienotais fails ir tukšs." + +#: fields.py:1362 +msgid "" +"Ensure this filename has at most {max_length} characters (it has {length})." +msgstr "Pārliecinies, ka faila nosaukumā ir vismaz {max_length} zīmes (tajā ir {length})." + +#: fields.py:1410 +msgid "" +"Upload a valid image. The file you uploaded was either not an image or a " +"corrupted image." +msgstr "Augšupielādē derīgu attēlu. Pievienotā datne nebija attēls vai bojāts attēls." + +#: fields.py:1449 relations.py:438 serializers.py:525 +msgid "This list may not be empty." +msgstr "Šis saraksts nevar būt tukšs." + +#: fields.py:1502 +msgid "Expected a dictionary of items but got type \"{input_type}\"." +msgstr "Tika gaidīta vārdnīca ar ierakstiem, bet tika saņemts \"{input_type}\" tips." + +#: fields.py:1549 +msgid "Value must be valid JSON." +msgstr "Vērtībai ir jābūt derīgam JSON." + +#: filters.py:36 templates/rest_framework/filters/django_filter.html:5 +msgid "Submit" +msgstr "Iesniegt" + +#: filters.py:336 +msgid "ascending" +msgstr "augoši" + +#: filters.py:337 +msgid "descending" +msgstr "dilstoši" + +#: pagination.py:193 +msgid "Invalid page." +msgstr "Nederīga lapa." + +#: pagination.py:427 +msgid "Invalid cursor" +msgstr "Nederīgs kursors" + +#: relations.py:207 +msgid "Invalid pk \"{pk_value}\" - object does not exist." +msgstr "Nederīga pk \"{pk_value}\" - objekts neeksistē." + +#: relations.py:208 +msgid "Incorrect type. Expected pk value, received {data_type}." +msgstr "Nepareizs tips. Tika gaidīta pk vērtība, saņemts {data_type}." + +#: relations.py:240 +msgid "Invalid hyperlink - No URL match." +msgstr "Nederīga hipersaite - Nav URL sakritība." + +#: relations.py:241 +msgid "Invalid hyperlink - Incorrect URL match." +msgstr "Nederīga hipersaite - Nederīga URL sakritība." + +#: relations.py:242 +msgid "Invalid hyperlink - Object does not exist." +msgstr "Nederīga hipersaite - Objekts neeksistē." + +#: relations.py:243 +msgid "Incorrect type. Expected URL string, received {data_type}." +msgstr "Nepareizs tips. Tika gaidīts URL teksts, saņemts {data_type}." + +#: relations.py:401 +msgid "Object with {slug_name}={value} does not exist." +msgstr "Objekts ar {slug_name}={value} neeksistē." + +#: relations.py:402 +msgid "Invalid value." +msgstr "Nedrīga vērtība." + +#: serializers.py:326 +msgid "Invalid data. Expected a dictionary, but got {datatype}." +msgstr "Nederīgi dati. Tika gaidīta vārdnīca, saņemts {datatype}." + +#: templates/rest_framework/admin.html:116 +#: templates/rest_framework/base.html:128 +msgid "Filters" +msgstr "Filtri" + +#: templates/rest_framework/filters/django_filter.html:2 +#: templates/rest_framework/filters/django_filter_crispyforms.html:4 +msgid "Field filters" +msgstr "Lauka filtri" + +#: templates/rest_framework/filters/ordering.html:3 +msgid "Ordering" +msgstr "Kārtošana" + +#: templates/rest_framework/filters/search.html:2 +msgid "Search" +msgstr "Meklēt" + +#: templates/rest_framework/horizontal/radio.html:2 +#: templates/rest_framework/inline/radio.html:2 +#: templates/rest_framework/vertical/radio.html:2 +msgid "None" +msgstr "Nekas" + +#: templates/rest_framework/horizontal/select_multiple.html:2 +#: templates/rest_framework/inline/select_multiple.html:2 +#: templates/rest_framework/vertical/select_multiple.html:2 +msgid "No items to select." +msgstr "Nav ierakstu, ko izvēlēties." + +#: validators.py:43 +msgid "This field must be unique." +msgstr "Šim laukam ir jābūt unikālam." + +#: validators.py:97 +msgid "The fields {field_names} must make a unique set." +msgstr "Laukiem {field_names} jāveido unikālas kombinācijas." + +#: validators.py:245 +msgid "This field must be unique for the \"{date_field}\" date." +msgstr "Šim laukam ir jābūt unikālam priekš \"{date_field}\" datuma." + +#: validators.py:260 +msgid "This field must be unique for the \"{date_field}\" month." +msgstr "Šim laukam ir jābūt unikālam priekš \"{date_field}\" mēneša." + +#: validators.py:273 +msgid "This field must be unique for the \"{date_field}\" year." +msgstr "Šim laukam ir jābūt unikālam priekš \"{date_field}\" gada." + +#: versioning.py:42 +msgid "Invalid version in \"Accept\" header." +msgstr "Nederīga versija \"Accept\" galvenē." + +#: versioning.py:73 +msgid "Invalid version in URL path." +msgstr "Nederīga versija URL ceļā." + +#: versioning.py:115 +msgid "Invalid version in URL path. Does not match any version namespace." +msgstr "Nederīga versija URL ceļā. Nav atbilstības esošo versiju telpā." + +#: versioning.py:147 +msgid "Invalid version in hostname." +msgstr "Nederīga versija servera nosaukumā." + +#: versioning.py:169 +msgid "Invalid version in query parameter." +msgstr "Nederīga versija pieprasījuma parametros." + +#: views.py:88 +msgid "Permission denied." +msgstr "Pieeja liegta." diff --git a/rest_framework/locale/mk/LC_MESSAGES/django.mo b/rest_framework/locale/mk/LC_MESSAGES/django.mo index ac9a48193d..ae9956f258 100644 Binary files a/rest_framework/locale/mk/LC_MESSAGES/django.mo and b/rest_framework/locale/mk/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/mk/LC_MESSAGES/django.po b/rest_framework/locale/mk/LC_MESSAGES/django.po index d53a30677f..0e59663d04 100644 --- a/rest_framework/locale/mk/LC_MESSAGES/django.po +++ b/rest_framework/locale/mk/LC_MESSAGES/django.po @@ -3,14 +3,14 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: -# Filip Dimitrovski <[email protected]>, 2015 +# Filip Dimitrovski <[email protected]>, 2015-2016 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Filip Dimitrovski <[email protected]>\n" "Language-Team: Macedonian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/mk/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -57,7 +57,7 @@ msgstr "Невалиден токен." #: authtoken/apps.py:7 msgid "Auth Token" -msgstr "" +msgstr "Автентикациски токен" #: authtoken/models.py:15 msgid "Key" @@ -65,7 +65,7 @@ msgstr "" #: authtoken/models.py:18 msgid "User" -msgstr "" +msgstr "Корисник" #: authtoken/models.py:20 msgid "Created" @@ -73,19 +73,19 @@ msgstr "" #: authtoken/models.py:29 msgid "Token" -msgstr "" +msgstr "Токен" #: authtoken/models.py:30 msgid "Tokens" -msgstr "" +msgstr "Токени" #: authtoken/serializers.py:8 msgid "Username" -msgstr "" +msgstr "Корисничко име" #: authtoken/serializers.py:9 msgid "Password" -msgstr "" +msgstr "Лозинка" #: authtoken/serializers.py:20 msgid "User account is disabled." @@ -184,11 +184,11 @@ msgstr "Внесете валиден URL." #: fields.py:760 msgid "\"{value}\" is not a valid UUID." -msgstr "" +msgstr "\"{value}\" не е валиден UUID." #: fields.py:796 msgid "Enter a valid IPv4 or IPv6 address." -msgstr "" +msgstr "Внеси валидна IPv4 или IPv6 адреса." #: fields.py:821 msgid "A valid integer is required." @@ -255,11 +255,11 @@ msgstr "„{input}“ не е валиден избор." #: fields.py:1254 relations.py:71 relations.py:441 msgid "More than {count} items..." -msgstr "" +msgstr "Повеќе од {count} ставки..." #: fields.py:1301 fields.py:1448 relations.py:437 serializers.py:524 msgid "Expected a list of items but got type \"{input_type}\"." -msgstr "Очекувана беше листа, а внесено беше „{input_type}“." +msgstr "Очекувана беше листа од ставки, а внесено беше „{input_type}“." #: fields.py:1302 msgid "This selection may not be empty." @@ -299,35 +299,35 @@ msgstr "Качете (upload-ирајте) валидна слика. Фајло #: fields.py:1449 relations.py:438 serializers.py:525 msgid "This list may not be empty." -msgstr "" +msgstr "Оваа листа не смее да биде празна." #: fields.py:1502 msgid "Expected a dictionary of items but got type \"{input_type}\"." -msgstr "" +msgstr "Очекуван беше dictionary од ставки, a внесен беше тип \"{input_type}\"." #: fields.py:1549 msgid "Value must be valid JSON." -msgstr "" +msgstr "Вредноста мора да биде валиден JSON." #: filters.py:36 templates/rest_framework/filters/django_filter.html:5 msgid "Submit" -msgstr "" +msgstr "Испрати" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "растечки" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "опаѓачки" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "Невалидна вредност за страна." #: pagination.py:427 msgid "Invalid cursor" -msgstr "" +msgstr "Невалиден покажувач (cursor)" #: relations.py:207 msgid "Invalid pk \"{pk_value}\" - object does not exist." @@ -368,32 +368,32 @@ msgstr "Невалидни податоци. Очекуван беше dictionar #: templates/rest_framework/admin.html:116 #: templates/rest_framework/base.html:128 msgid "Filters" -msgstr "" +msgstr "Филтри" #: templates/rest_framework/filters/django_filter.html:2 #: templates/rest_framework/filters/django_filter_crispyforms.html:4 msgid "Field filters" -msgstr "" +msgstr "Филтри на полиња" #: templates/rest_framework/filters/ordering.html:3 msgid "Ordering" -msgstr "" +msgstr "Подредување" #: templates/rest_framework/filters/search.html:2 msgid "Search" -msgstr "" +msgstr "Пребарај" #: templates/rest_framework/horizontal/radio.html:2 #: templates/rest_framework/inline/radio.html:2 #: templates/rest_framework/vertical/radio.html:2 msgid "None" -msgstr "" +msgstr "Ништо" #: templates/rest_framework/horizontal/select_multiple.html:2 #: templates/rest_framework/inline/select_multiple.html:2 #: templates/rest_framework/vertical/select_multiple.html:2 msgid "No items to select." -msgstr "" +msgstr "Нема ставки за избирање." #: validators.py:43 msgid "This field must be unique." @@ -425,7 +425,7 @@ msgstr "Невалидна верзија во URL патеката." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Верзијата во URL патеката не е валидна. Не се согласува со ниеден version namespace (именски простор за верзии)." #: versioning.py:147 msgid "Invalid version in hostname." @@ -437,4 +437,4 @@ msgstr "Невалидна верзија во query параметарот." #: views.py:88 msgid "Permission denied." -msgstr "" +msgstr "Барањето не е дозволено." diff --git a/rest_framework/locale/nb/LC_MESSAGES/django.mo b/rest_framework/locale/nb/LC_MESSAGES/django.mo index d3dfe100a7..d942abc2cf 100644 Binary files a/rest_framework/locale/nb/LC_MESSAGES/django.mo and b/rest_framework/locale/nb/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/nb/LC_MESSAGES/django.po b/rest_framework/locale/nb/LC_MESSAGES/django.po index 634a246429..f9ecada639 100644 --- a/rest_framework/locale/nb/LC_MESSAGES/django.po +++ b/rest_framework/locale/nb/LC_MESSAGES/django.po @@ -9,7 +9,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Norwegian Bokmål (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/nb/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/nl/LC_MESSAGES/django.mo b/rest_framework/locale/nl/LC_MESSAGES/django.mo index 8f9c2dcded..782bf16343 100644 Binary files a/rest_framework/locale/nl/LC_MESSAGES/django.mo and b/rest_framework/locale/nl/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/nl/LC_MESSAGES/django.po b/rest_framework/locale/nl/LC_MESSAGES/django.po index 6b9dd127ba..370f3aa412 100644 --- a/rest_framework/locale/nl/LC_MESSAGES/django.po +++ b/rest_framework/locale/nl/LC_MESSAGES/django.po @@ -4,16 +4,17 @@ # # Translators: # Hans van Luttikhuizen <[email protected]>, 2016 -# mikedingjan <[email protected]>, 2015 -# mikedingjan <[email protected]>, 2015 +# Mike Dingjan <[email protected]>, 2015 +# Mike Dingjan <[email protected]>, 2017 +# Mike Dingjan <[email protected]>, 2015 # Hans van Luttikhuizen <[email protected]>, 2016 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Mike Dingjan <[email protected]>\n" "Language-Team: Dutch (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/nl/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -318,11 +319,11 @@ msgstr "Verzenden" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "oplopend" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "aflopend" #: pagination.py:193 msgid "Invalid page." @@ -428,7 +429,7 @@ msgstr "Ongeldige versie in URL-pad." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Ongeldige versie in het URL pad, komt niet overeen met een geldige versie namespace" #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/pl/LC_MESSAGES/django.mo b/rest_framework/locale/pl/LC_MESSAGES/django.mo index 8af27437f0..99840f55c0 100644 Binary files a/rest_framework/locale/pl/LC_MESSAGES/django.mo and b/rest_framework/locale/pl/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/pl/LC_MESSAGES/django.po b/rest_framework/locale/pl/LC_MESSAGES/django.po index b8592e9b7a..6114265569 100644 --- a/rest_framework/locale/pl/LC_MESSAGES/django.po +++ b/rest_framework/locale/pl/LC_MESSAGES/django.po @@ -5,20 +5,21 @@ # Translators: # Janusz Harkot <[email protected]>, 2015 # Piotr Jakimiak <[email protected]>, 2015 +# m_aciek <[email protected]>, 2016 # m_aciek <[email protected]>, 2015-2016 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: m_aciek <[email protected]>\n" "Language-Team: Polish (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/pl/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Language: pl\n" -"Plural-Forms: nplurals=3; plural=(n==1 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 || n%100>=20) ? 1 : 2);\n" +"Plural-Forms: nplurals=4; plural=(n==1 ? 0 : (n%10>=2 && n%10<=4) && (n%100<12 || n%100>14) ? 1 : n!=1 && (n%10>=0 && n%10<=1) || (n%10>=5 && n%10<=9) || (n%100>=12 && n%100<=14) ? 2 : 3);\n" #: authentication.py:73 msgid "Invalid basic header. No credentials provided." @@ -317,11 +318,11 @@ msgstr "Wyślij" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "rosnąco" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "malejąco" #: pagination.py:193 msgid "Invalid page." @@ -427,7 +428,7 @@ msgstr "Błędna wersja w ścieżce URL." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Niepoprawna wersja w ścieżce URL. Nie pasuje do przestrzeni nazw żadnej wersji." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/pt_BR/LC_MESSAGES/django.mo b/rest_framework/locale/pt_BR/LC_MESSAGES/django.mo index 1dd7287f36..482c07cdb9 100644 Binary files a/rest_framework/locale/pt_BR/LC_MESSAGES/django.mo and b/rest_framework/locale/pt_BR/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/pt_BR/LC_MESSAGES/django.po b/rest_framework/locale/pt_BR/LC_MESSAGES/django.po index 2c90f14ca7..3a57b6770f 100644 --- a/rest_framework/locale/pt_BR/LC_MESSAGES/django.po +++ b/rest_framework/locale/pt_BR/LC_MESSAGES/django.po @@ -12,7 +12,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Portuguese (Brazil) (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/pt_BR/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/ro/LC_MESSAGES/django.mo b/rest_framework/locale/ro/LC_MESSAGES/django.mo index 5a113ab72d..6a8ada9a7c 100644 Binary files a/rest_framework/locale/ro/LC_MESSAGES/django.mo and b/rest_framework/locale/ro/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/ro/LC_MESSAGES/django.po b/rest_framework/locale/ro/LC_MESSAGES/django.po index bb3b5e3c0e..d144d847ef 100644 --- a/rest_framework/locale/ro/LC_MESSAGES/django.po +++ b/rest_framework/locale/ro/LC_MESSAGES/django.po @@ -9,7 +9,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Romanian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/ro/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/ru/LC_MESSAGES/django.mo b/rest_framework/locale/ru/LC_MESSAGES/django.mo index be0620a332..88c582b136 100644 Binary files a/rest_framework/locale/ru/LC_MESSAGES/django.mo and b/rest_framework/locale/ru/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/ru/LC_MESSAGES/django.po b/rest_framework/locale/ru/LC_MESSAGES/django.po index b732709065..7e09b227e8 100644 --- a/rest_framework/locale/ru/LC_MESSAGES/django.po +++ b/rest_framework/locale/ru/LC_MESSAGES/django.po @@ -3,6 +3,7 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: +# Grigory Mishchenko <[email protected]>, 2017 # Kirill Tarasenko, 2015 # koodjo <[email protected]>, 2015 # Mike TUMS <[email protected]>, 2015 @@ -12,8 +13,8 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Grigory Mishchenko <[email protected]>\n" "Language-Team: Russian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/ru/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -161,11 +162,11 @@ msgstr "Это поле не может быть пустым." #: fields.py:675 fields.py:1675 msgid "Ensure this field has no more than {max_length} characters." -msgstr "Убедитесь что в этом поле не больше {max_length} символов." +msgstr "Убедитесь, что в этом поле не больше {max_length} символов." #: fields.py:676 msgid "Ensure this field has at least {min_length} characters." -msgstr "Убедитесь что в этом поле как минимум {min_length} символов." +msgstr "Убедитесь, что в этом поле как минимум {min_length} символов." #: fields.py:713 msgid "Enter a valid email address." @@ -199,11 +200,11 @@ msgstr "Требуется целочисленное значение." #: fields.py:822 fields.py:857 fields.py:891 msgid "Ensure this value is less than or equal to {max_value}." -msgstr "Убедитесь что значение меньше или равно {max_value}." +msgstr "Убедитесь, что значение меньше или равно {max_value}." #: fields.py:823 fields.py:858 fields.py:892 msgid "Ensure this value is greater than or equal to {min_value}." -msgstr "Убедитесь что значение больше или равно {min_value}." +msgstr "Убедитесь, что значение больше или равно {min_value}." #: fields.py:824 fields.py:859 fields.py:896 msgid "String value too large." @@ -215,18 +216,18 @@ msgstr "Требуется численное значение." #: fields.py:893 msgid "Ensure that there are no more than {max_digits} digits in total." -msgstr "Убедитесь что в числе не больше {max_digits} знаков." +msgstr "Убедитесь, что в числе не больше {max_digits} знаков." #: fields.py:894 msgid "" "Ensure that there are no more than {max_decimal_places} decimal places." -msgstr "Убедитесь что в числе не больше {max_decimal_places} знаков в дробной части." +msgstr "Убедитесь, что в числе не больше {max_decimal_places} знаков в дробной части." #: fields.py:895 msgid "" "Ensure that there are no more than {max_whole_digits} digits before the " "decimal point." -msgstr "Убедитесь что в цисле не больше {max_whole_digits} знаков в целой части." +msgstr "Убедитесь, что в числе не больше {max_whole_digits} знаков в целой части." #: fields.py:1025 msgid "Datetime has wrong format. Use one of these formats instead: {format}." @@ -279,7 +280,7 @@ msgstr "Не был загружен файл." #: fields.py:1359 msgid "" "The submitted data was not a file. Check the encoding type on the form." -msgstr "Загруженный файл не является корректным файлом. " +msgstr "Загруженный файл не является корректным файлом." #: fields.py:1360 msgid "No filename could be determined." @@ -292,7 +293,7 @@ msgstr "Загруженный файл пуст." #: fields.py:1362 msgid "" "Ensure this filename has at most {max_length} characters (it has {length})." -msgstr "Убедитесь что имя файла меньше {max_length} символов (сейчас {length})." +msgstr "Убедитесь, что имя файла меньше {max_length} символов (сейчас {length})." #: fields.py:1410 msgid "" @@ -338,7 +339,7 @@ msgstr "Недопустимый первичный ключ \"{pk_value}\" - о #: relations.py:208 msgid "Incorrect type. Expected pk value, received {data_type}." -msgstr "Некорректный тип. Ожилалось значение первичного ключа, получен {data_type}." +msgstr "Некорректный тип. Ожидалось значение первичного ключа, получен {data_type}." #: relations.py:240 msgid "Invalid hyperlink - No URL match." diff --git a/rest_framework/locale/sk/LC_MESSAGES/django.mo b/rest_framework/locale/sk/LC_MESSAGES/django.mo index dda693e32c..83d43c8222 100644 Binary files a/rest_framework/locale/sk/LC_MESSAGES/django.mo and b/rest_framework/locale/sk/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/sk/LC_MESSAGES/django.po b/rest_framework/locale/sk/LC_MESSAGES/django.po index 1c22d09f05..119430e90e 100644 --- a/rest_framework/locale/sk/LC_MESSAGES/django.po +++ b/rest_framework/locale/sk/LC_MESSAGES/django.po @@ -9,7 +9,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Slovak (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/sk/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/sl/LC_MESSAGES/django.mo b/rest_framework/locale/sl/LC_MESSAGES/django.mo new file mode 100644 index 0000000000..9ac13843f7 Binary files /dev/null and b/rest_framework/locale/sl/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/sl/LC_MESSAGES/django.po b/rest_framework/locale/sl/LC_MESSAGES/django.po new file mode 100644 index 0000000000..9af0fc8fc9 --- /dev/null +++ b/rest_framework/locale/sl/LC_MESSAGES/django.po @@ -0,0 +1,440 @@ +# SOME DESCRIPTIVE TITLE. +# Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER +# This file is distributed under the same license as the PACKAGE package. +# +# Translators: +# Gregor Cimerman, 2017 +msgid "" +msgstr "" +"Project-Id-Version: Django REST framework\n" +"Report-Msgid-Bugs-To: \n" +"POT-Creation-Date: 2016-07-12 16:13+0100\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Gregor Cimerman\n" +"Language-Team: Slovenian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/sl/)\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sl\n" +"Plural-Forms: nplurals=4; plural=(n%100==1 ? 0 : n%100==2 ? 1 : n%100==3 || n%100==4 ? 2 : 3);\n" + +#: authentication.py:73 +msgid "Invalid basic header. No credentials provided." +msgstr "Napačno enostavno zagalvje. Ni podanih poverilnic." + +#: authentication.py:76 +msgid "Invalid basic header. Credentials string should not contain spaces." +msgstr "Napačno enostavno zaglavje. Poverilniški niz ne sme vsebovati presledkov." + +#: authentication.py:82 +msgid "Invalid basic header. Credentials not correctly base64 encoded." +msgstr "Napačno enostavno zaglavje. Poverilnice niso pravilno base64 kodirane." + +#: authentication.py:99 +msgid "Invalid username/password." +msgstr "Napačno uporabniško ime ali geslo." + +#: authentication.py:102 authentication.py:198 +msgid "User inactive or deleted." +msgstr "Uporabnik neaktiven ali izbrisan." + +#: authentication.py:176 +msgid "Invalid token header. No credentials provided." +msgstr "Neveljaven žeton v zaglavju. Ni vsebovanih poverilnic." + +#: authentication.py:179 +msgid "Invalid token header. Token string should not contain spaces." +msgstr "Neveljaven žeton v zaglavju. Žeton ne sme vsebovati presledkov." + +#: authentication.py:185 +msgid "" +"Invalid token header. Token string should not contain invalid characters." +msgstr "Neveljaven žeton v zaglavju. Žeton ne sme vsebovati napačnih znakov." + +#: authentication.py:195 +msgid "Invalid token." +msgstr "Neveljaven žeton." + +#: authtoken/apps.py:7 +msgid "Auth Token" +msgstr "Prijavni žeton" + +#: authtoken/models.py:15 +msgid "Key" +msgstr "Ključ" + +#: authtoken/models.py:18 +msgid "User" +msgstr "Uporabnik" + +#: authtoken/models.py:20 +msgid "Created" +msgstr "Ustvarjen" + +#: authtoken/models.py:29 +msgid "Token" +msgstr "Žeton" + +#: authtoken/models.py:30 +msgid "Tokens" +msgstr "Žetoni" + +#: authtoken/serializers.py:8 +msgid "Username" +msgstr "Uporabniško ime" + +#: authtoken/serializers.py:9 +msgid "Password" +msgstr "Geslo" + +#: authtoken/serializers.py:20 +msgid "User account is disabled." +msgstr "Uporabniški račun je onemogočen." + +#: authtoken/serializers.py:23 +msgid "Unable to log in with provided credentials." +msgstr "Neuspešna prijava s podanimi poverilnicami." + +#: authtoken/serializers.py:26 +msgid "Must include \"username\" and \"password\"." +msgstr "Mora vsebovati \"uporabniško ime\" in \"geslo\"." + +#: exceptions.py:49 +msgid "A server error occurred." +msgstr "Napaka na strežniku." + +#: exceptions.py:84 +msgid "Malformed request." +msgstr "Okvarjen zahtevek." + +#: exceptions.py:89 +msgid "Incorrect authentication credentials." +msgstr "Napačni avtentikacijski podatki." + +#: exceptions.py:94 +msgid "Authentication credentials were not provided." +msgstr "Avtentikacijski podatki niso bili podani." + +#: exceptions.py:99 +msgid "You do not have permission to perform this action." +msgstr "Nimate dovoljenj za izvedbo te akcije." + +#: exceptions.py:104 views.py:81 +msgid "Not found." +msgstr "Ni najdeno" + +#: exceptions.py:109 +msgid "Method \"{method}\" not allowed." +msgstr "Metoda \"{method}\" ni dovoljena" + +#: exceptions.py:120 +msgid "Could not satisfy the request Accept header." +msgstr "Ni bilo mogoče zagotoviti zaglavja Accept zahtevka." + +#: exceptions.py:132 +msgid "Unsupported media type \"{media_type}\" in request." +msgstr "Nepodprt medijski tip \"{media_type}\" v zahtevku." + +#: exceptions.py:145 +msgid "Request was throttled." +msgstr "Zahtevek je bil pridržan." + +#: fields.py:269 relations.py:206 relations.py:239 validators.py:98 +#: validators.py:181 +msgid "This field is required." +msgstr "To polje je obvezno." + +#: fields.py:270 +msgid "This field may not be null." +msgstr "To polje ne sme biti null." + +#: fields.py:608 fields.py:639 +msgid "\"{input}\" is not a valid boolean." +msgstr "\"{input}\" ni veljaven boolean." + +#: fields.py:674 +msgid "This field may not be blank." +msgstr "To polje ne sme biti prazno." + +#: fields.py:675 fields.py:1675 +msgid "Ensure this field has no more than {max_length} characters." +msgstr "To polje ne sme biti daljše od {max_length} znakov." + +#: fields.py:676 +msgid "Ensure this field has at least {min_length} characters." +msgstr "To polje mora vsebovati vsaj {min_length} znakov." + +#: fields.py:713 +msgid "Enter a valid email address." +msgstr "Vnesite veljaven elektronski naslov." + +#: fields.py:724 +msgid "This value does not match the required pattern." +msgstr "Ta vrednost ne ustreza zahtevanemu vzorcu." + +#: fields.py:735 +msgid "" +"Enter a valid \"slug\" consisting of letters, numbers, underscores or " +"hyphens." +msgstr "Vnesite veljaven \"slug\", ki vsebuje črke, številke, podčrtaje ali vezaje." + +#: fields.py:747 +msgid "Enter a valid URL." +msgstr "Vnesite veljaven URL." + +#: fields.py:760 +msgid "\"{value}\" is not a valid UUID." +msgstr "\"{value}\" ni veljaven UUID" + +#: fields.py:796 +msgid "Enter a valid IPv4 or IPv6 address." +msgstr "Vnesite veljaven IPv4 ali IPv6 naslov." + +#: fields.py:821 +msgid "A valid integer is required." +msgstr "Zahtevano je veljavno celo število." + +#: fields.py:822 fields.py:857 fields.py:891 +msgid "Ensure this value is less than or equal to {max_value}." +msgstr "Vrednost mora biti manjša ali enaka {max_value}." + +#: fields.py:823 fields.py:858 fields.py:892 +msgid "Ensure this value is greater than or equal to {min_value}." +msgstr "Vrednost mora biti večija ali enaka {min_value}." + +#: fields.py:824 fields.py:859 fields.py:896 +msgid "String value too large." +msgstr "Niz je prevelik." + +#: fields.py:856 fields.py:890 +msgid "A valid number is required." +msgstr "Zahtevano je veljavno število." + +#: fields.py:893 +msgid "Ensure that there are no more than {max_digits} digits in total." +msgstr "Vnesete lahko največ {max_digits} števk." + +#: fields.py:894 +msgid "" +"Ensure that there are no more than {max_decimal_places} decimal places." +msgstr "Vnesete lahko največ {max_decimal_places} decimalnih mest." + +#: fields.py:895 +msgid "" +"Ensure that there are no more than {max_whole_digits} digits before the " +"decimal point." +msgstr "Vnesete lahko največ {max_whole_digits} števk pred decimalno piko." + +#: fields.py:1025 +msgid "Datetime has wrong format. Use one of these formats instead: {format}." +msgstr "Datim in čas v napačnem formatu. Uporabite eno izmed naslednjih formatov: {format}." + +#: fields.py:1026 +msgid "Expected a datetime but got a date." +msgstr "Pričakovan datum in čas, prejet le datum." + +#: fields.py:1103 +msgid "Date has wrong format. Use one of these formats instead: {format}." +msgstr "Datum je v napačnem formatu. Uporabnite enega izmed naslednjih: {format}." + +#: fields.py:1104 +msgid "Expected a date but got a datetime." +msgstr "Pričakovan datum vendar prejet datum in čas." + +#: fields.py:1170 +msgid "Time has wrong format. Use one of these formats instead: {format}." +msgstr "Čas je v napačnem formatu. Uporabite enega izmed naslednjih: {format}." + +#: fields.py:1232 +msgid "Duration has wrong format. Use one of these formats instead: {format}." +msgstr "Trajanje je v napačnem formatu. Uporabite enega izmed naslednjih: {format}." + +#: fields.py:1251 fields.py:1300 +msgid "\"{input}\" is not a valid choice." +msgstr "\"{input}\" ni veljavna izbira." + +#: fields.py:1254 relations.py:71 relations.py:441 +msgid "More than {count} items..." +msgstr "Več kot {count} elementov..." + +#: fields.py:1301 fields.py:1448 relations.py:437 serializers.py:524 +msgid "Expected a list of items but got type \"{input_type}\"." +msgstr "Pričakovan seznam elementov vendar prejet tip \"{input_type}\"." + +#: fields.py:1302 +msgid "This selection may not be empty." +msgstr "Ta izbria ne sme ostati prazna." + +#: fields.py:1339 +msgid "\"{input}\" is not a valid path choice." +msgstr "\"{input}\" ni veljavna izbira poti." + +#: fields.py:1358 +msgid "No file was submitted." +msgstr "Datoteka ni bila oddana." + +#: fields.py:1359 +msgid "" +"The submitted data was not a file. Check the encoding type on the form." +msgstr "Oddani podatki niso datoteka. Preverite vrsto kodiranja na formi." + +#: fields.py:1360 +msgid "No filename could be determined." +msgstr "Imena datoteke ni bilo mogoče določiti." + +#: fields.py:1361 +msgid "The submitted file is empty." +msgstr "Oddana datoteka je prazna." + +#: fields.py:1362 +msgid "" +"Ensure this filename has at most {max_length} characters (it has {length})." +msgstr "Ime datoteke lahko vsebuje največ {max_length} znakov (ta jih ima {length})." + +#: fields.py:1410 +msgid "" +"Upload a valid image. The file you uploaded was either not an image or a " +"corrupted image." +msgstr "Naložite veljavno sliko. Naložena datoteka ni bila slika ali pa je okvarjena." + +#: fields.py:1449 relations.py:438 serializers.py:525 +msgid "This list may not be empty." +msgstr "Seznam ne sme biti prazen." + +#: fields.py:1502 +msgid "Expected a dictionary of items but got type \"{input_type}\"." +msgstr "Pričakovan je slovar elementov, prejet element je tipa \"{input_type}\"." + +#: fields.py:1549 +msgid "Value must be valid JSON." +msgstr "Vrednost mora biti veljaven JSON." + +#: filters.py:36 templates/rest_framework/filters/django_filter.html:5 +msgid "Submit" +msgstr "Potrdi" + +#: filters.py:336 +msgid "ascending" +msgstr "naraščujoče" + +#: filters.py:337 +msgid "descending" +msgstr "padajoče" + +#: pagination.py:193 +msgid "Invalid page." +msgstr "Neveljavna stran." + +#: pagination.py:427 +msgid "Invalid cursor" +msgstr "Neveljaven kazalec" + +#: relations.py:207 +msgid "Invalid pk \"{pk_value}\" - object does not exist." +msgstr "Neveljaven pk \"{pk_value}\" - objekt ne obstaja." + +#: relations.py:208 +msgid "Incorrect type. Expected pk value, received {data_type}." +msgstr "Neveljaven tip. Pričakovana vrednost pk, prejet {data_type}." + +#: relations.py:240 +msgid "Invalid hyperlink - No URL match." +msgstr "Neveljavna povezava - Ni URL." + +#: relations.py:241 +msgid "Invalid hyperlink - Incorrect URL match." +msgstr "Ni veljavna povezava - Napačen URL." + +#: relations.py:242 +msgid "Invalid hyperlink - Object does not exist." +msgstr "Ni veljavna povezava - Objekt ne obstaja." + +#: relations.py:243 +msgid "Incorrect type. Expected URL string, received {data_type}." +msgstr "Napačen tip. Pričakovan URL niz, prejet {data_type}." + +#: relations.py:401 +msgid "Object with {slug_name}={value} does not exist." +msgstr "Objekt z {slug_name}={value} ne obstaja." + +#: relations.py:402 +msgid "Invalid value." +msgstr "Neveljavna vrednost." + +#: serializers.py:326 +msgid "Invalid data. Expected a dictionary, but got {datatype}." +msgstr "Napačni podatki. Pričakovan slovar, prejet {datatype}." + +#: templates/rest_framework/admin.html:116 +#: templates/rest_framework/base.html:128 +msgid "Filters" +msgstr "Filtri" + +#: templates/rest_framework/filters/django_filter.html:2 +#: templates/rest_framework/filters/django_filter_crispyforms.html:4 +msgid "Field filters" +msgstr "Filter polj" + +#: templates/rest_framework/filters/ordering.html:3 +msgid "Ordering" +msgstr "Razvrščanje" + +#: templates/rest_framework/filters/search.html:2 +msgid "Search" +msgstr "Iskanje" + +#: templates/rest_framework/horizontal/radio.html:2 +#: templates/rest_framework/inline/radio.html:2 +#: templates/rest_framework/vertical/radio.html:2 +msgid "None" +msgstr "None" + +#: templates/rest_framework/horizontal/select_multiple.html:2 +#: templates/rest_framework/inline/select_multiple.html:2 +#: templates/rest_framework/vertical/select_multiple.html:2 +msgid "No items to select." +msgstr "Ni elementov za izbiro." + +#: validators.py:43 +msgid "This field must be unique." +msgstr "To polje mora biti unikatno." + +#: validators.py:97 +msgid "The fields {field_names} must make a unique set." +msgstr "Polja {field_names} morajo skupaj sestavljati unikaten niz." + +#: validators.py:245 +msgid "This field must be unique for the \"{date_field}\" date." +msgstr "Polje mora biti unikatno za \"{date_field}\" dan." + +#: validators.py:260 +msgid "This field must be unique for the \"{date_field}\" month." +msgstr "Polje mora biti unikatno za \"{date_field} mesec.\"" + +#: validators.py:273 +msgid "This field must be unique for the \"{date_field}\" year." +msgstr "Polje mora biti unikatno za \"{date_field}\" leto." + +#: versioning.py:42 +msgid "Invalid version in \"Accept\" header." +msgstr "Neveljavna verzija v \"Accept\" zaglavju." + +#: versioning.py:73 +msgid "Invalid version in URL path." +msgstr "Neveljavna različca v poti URL." + +#: versioning.py:115 +msgid "Invalid version in URL path. Does not match any version namespace." +msgstr "Neveljavna različica v poti URL. Se ne ujema z nobeno različico imenskega prostora." + +#: versioning.py:147 +msgid "Invalid version in hostname." +msgstr "Neveljavna različica v imenu gostitelja." + +#: versioning.py:169 +msgid "Invalid version in query parameter." +msgstr "Neveljavna verzija v poizvedbenem parametru." + +#: views.py:88 +msgid "Permission denied." +msgstr "Dovoljenje zavrnjeno." diff --git a/rest_framework/locale/sv/LC_MESSAGES/django.mo b/rest_framework/locale/sv/LC_MESSAGES/django.mo index cbecec44db..232b5bceee 100644 Binary files a/rest_framework/locale/sv/LC_MESSAGES/django.mo and b/rest_framework/locale/sv/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/sv/LC_MESSAGES/django.po b/rest_framework/locale/sv/LC_MESSAGES/django.po index 82dde0d87a..00acf5644f 100644 --- a/rest_framework/locale/sv/LC_MESSAGES/django.po +++ b/rest_framework/locale/sv/LC_MESSAGES/django.po @@ -10,8 +10,8 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Joakim Soderlund\n" "Language-Team: Swedish (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/sv/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -316,11 +316,11 @@ msgstr "Skicka" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "stigande" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "fallande" #: pagination.py:193 msgid "Invalid page." @@ -426,7 +426,7 @@ msgstr "Ogiltig version i URL-resursen." #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "Ogiltig version i URL-resursen. Matchar inget versions-namespace." #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/tr/LC_MESSAGES/django.mo b/rest_framework/locale/tr/LC_MESSAGES/django.mo index 818aad2792..586b494c32 100644 Binary files a/rest_framework/locale/tr/LC_MESSAGES/django.mo and b/rest_framework/locale/tr/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/tr/LC_MESSAGES/django.po b/rest_framework/locale/tr/LC_MESSAGES/django.po index 17e6e4a737..d327ab9e22 100644 --- a/rest_framework/locale/tr/LC_MESSAGES/django.po +++ b/rest_framework/locale/tr/LC_MESSAGES/django.po @@ -6,7 +6,7 @@ # Dogukan Tufekci <[email protected]>, 2015 # Emrah BİLBAY <[email protected]>, 2015 # Ertaç Paprat <[email protected]>, 2015 -# Yusuf (Josè) Luis <[email protected]>, 2016 +# José Luis <[email protected]>, 2016 # Mesut Can Gürle <[email protected]>, 2015 # Murat Çorlu <[email protected]>, 2015 # Recep KIRMIZI <[email protected]>, 2015 @@ -16,7 +16,7 @@ msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Turkish (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/tr/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/tr_TR/LC_MESSAGES/django.mo b/rest_framework/locale/tr_TR/LC_MESSAGES/django.mo index a3a8ca0d57..c0665f5372 100644 Binary files a/rest_framework/locale/tr_TR/LC_MESSAGES/django.mo and b/rest_framework/locale/tr_TR/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/tr_TR/LC_MESSAGES/django.po b/rest_framework/locale/tr_TR/LC_MESSAGES/django.po index 171826a63b..94856c70fd 100644 --- a/rest_framework/locale/tr_TR/LC_MESSAGES/django.po +++ b/rest_framework/locale/tr_TR/LC_MESSAGES/django.po @@ -3,13 +3,13 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: -# Yusuf (Josè) Luis <[email protected]>, 2015-2016 +# José Luis <[email protected]>, 2015-2016 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" "Last-Translator: Thomas Christie <[email protected]>\n" "Language-Team: Turkish (Turkey) (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/tr_TR/)\n" "MIME-Version: 1.0\n" diff --git a/rest_framework/locale/uk/LC_MESSAGES/django.mo b/rest_framework/locale/uk/LC_MESSAGES/django.mo index bfcb776e76..0c8102088b 100644 Binary files a/rest_framework/locale/uk/LC_MESSAGES/django.mo and b/rest_framework/locale/uk/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/uk/LC_MESSAGES/django.po b/rest_framework/locale/uk/LC_MESSAGES/django.po index 51909058fc..2bd4369f83 100644 --- a/rest_framework/locale/uk/LC_MESSAGES/django.po +++ b/rest_framework/locale/uk/LC_MESSAGES/django.po @@ -3,16 +3,17 @@ # This file is distributed under the same license as the PACKAGE package. # # Translators: -# Denis Podlesniy <[email protected]>, 2016 +# Денис Подлесный <[email protected]>, 2016 # Illarion <[email protected]>, 2016 # Kirill Tarasenko, 2016 +# Victor Mireyev <[email protected]>, 2017 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Victor Mireyev <[email protected]>\n" "Language-Team: Ukrainian (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/uk/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -317,11 +318,11 @@ msgstr "Відправити" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "в порядку зростання" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "у порядку зменшення" #: pagination.py:193 msgid "Invalid page." diff --git a/rest_framework/locale/zh_CN/LC_MESSAGES/django.mo b/rest_framework/locale/zh_CN/LC_MESSAGES/django.mo index 5ba81a865a..00afcdb9a6 100644 Binary files a/rest_framework/locale/zh_CN/LC_MESSAGES/django.mo and b/rest_framework/locale/zh_CN/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/zh_CN/LC_MESSAGES/django.po b/rest_framework/locale/zh_CN/LC_MESSAGES/django.po index c21604b422..345bcfac81 100644 --- a/rest_framework/locale/zh_CN/LC_MESSAGES/django.po +++ b/rest_framework/locale/zh_CN/LC_MESSAGES/django.po @@ -4,15 +4,15 @@ # # Translators: # hunter007 <[email protected]>, 2015 -# Lele Long <[email protected]>, 2015 +# Lele Long <[email protected]>, 2015,2017 # Ming Chen <[email protected]>, 2015-2016 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: Lele Long <[email protected]>\n" "Language-Team: Chinese (China) (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/zh_CN/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -63,7 +63,7 @@ msgstr "认证令牌" #: authtoken/models.py:15 msgid "Key" -msgstr "" +msgstr "键" #: authtoken/models.py:18 msgid "User" @@ -71,7 +71,7 @@ msgstr "用户" #: authtoken/models.py:20 msgid "Created" -msgstr "" +msgstr "已创建" #: authtoken/models.py:29 msgid "Token" @@ -317,15 +317,15 @@ msgstr "保存" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "升序" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "降序" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "无效页。" #: pagination.py:427 msgid "Invalid cursor" @@ -427,7 +427,7 @@ msgstr "URL路径包含无效版本。" #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "URL路径中存在无效版本。版本空间中无法匹配上。" #: versioning.py:147 msgid "Invalid version in hostname." diff --git a/rest_framework/locale/zh_Hans/LC_MESSAGES/django.mo b/rest_framework/locale/zh_Hans/LC_MESSAGES/django.mo index 396aded071..a784846b2d 100644 Binary files a/rest_framework/locale/zh_Hans/LC_MESSAGES/django.mo and b/rest_framework/locale/zh_Hans/LC_MESSAGES/django.mo differ diff --git a/rest_framework/locale/zh_Hans/LC_MESSAGES/django.po b/rest_framework/locale/zh_Hans/LC_MESSAGES/django.po index 9f5cd24f1f..aa56ccc451 100644 --- a/rest_framework/locale/zh_Hans/LC_MESSAGES/django.po +++ b/rest_framework/locale/zh_Hans/LC_MESSAGES/django.po @@ -6,13 +6,14 @@ # cokky <[email protected]>, 2015 # hunter007 <[email protected]>, 2015 # nypisces <[email protected]>, 2015 +# ppppfly <[email protected]>, 2017 msgid "" msgstr "" "Project-Id-Version: Django REST framework\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2016-07-12 16:13+0100\n" -"PO-Revision-Date: 2016-07-12 15:14+0000\n" -"Last-Translator: Thomas Christie <[email protected]>\n" +"PO-Revision-Date: 2017-08-03 14:58+0000\n" +"Last-Translator: ppppfly <[email protected]>\n" "Language-Team: Chinese Simplified (http://www.transifex.com/django-rest-framework-1/django-rest-framework/language/zh-Hans/)\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" @@ -59,35 +60,35 @@ msgstr "认证令牌无效。" #: authtoken/apps.py:7 msgid "Auth Token" -msgstr "" +msgstr "认证令牌" #: authtoken/models.py:15 msgid "Key" -msgstr "" +msgstr "键" #: authtoken/models.py:18 msgid "User" -msgstr "" +msgstr "用户" #: authtoken/models.py:20 msgid "Created" -msgstr "" +msgstr "已创建" #: authtoken/models.py:29 msgid "Token" -msgstr "" +msgstr "令牌" #: authtoken/models.py:30 msgid "Tokens" -msgstr "" +msgstr "令牌" #: authtoken/serializers.py:8 msgid "Username" -msgstr "" +msgstr "用户名" #: authtoken/serializers.py:9 msgid "Password" -msgstr "" +msgstr "密码" #: authtoken/serializers.py:20 msgid "User account is disabled." @@ -317,15 +318,15 @@ msgstr "提交" #: filters.py:336 msgid "ascending" -msgstr "" +msgstr "正排序" #: filters.py:337 msgid "descending" -msgstr "" +msgstr "倒排序" #: pagination.py:193 msgid "Invalid page." -msgstr "" +msgstr "无效页面。" #: pagination.py:427 msgid "Invalid cursor" @@ -427,7 +428,7 @@ msgstr "URL路径包含无效版本。" #: versioning.py:115 msgid "Invalid version in URL path. Does not match any version namespace." -msgstr "" +msgstr "在URL路径中发现无效的版本。无法匹配任何的版本命名空间。" #: versioning.py:147 msgid "Invalid version in hostname."
3.6.4 Release Checklist: - [x] Create pull request for [release notes](https://github.com/tomchristie/django-rest-framework/blob/master/docs/topics/release-notes.md) based on the [3.6.4 milestone](https://github.com/tomchristie/django-rest-framework/milestones/***). PR: #5344 - [x] Bump remaining unclosed issues. - [x] Update the translations from [transifex](http://www.django-rest-framework.org/topics/project-management/#translations). - [x] Ensure the pull request increments the version to `3.6.4` in [`restframework/__init__.py`](https://github.com/tomchristie/django-rest-framework/blob/master/rest_framework/__init__.py). - [x] Confirm with @tomchristie that release is finalized and ready to go. - [x] Ensure that release date is included in pull request. - [x] Merge the release pull request. - [x] Push the package to PyPI with `./setup.py publish`. - [x] Tag the release, with `git tag -a 3.6.4 -m 'version 3.6.4'; git push --tags`. - [x] Deploy the documentation with `mkdocs gh-deploy`. - [x] Make a release announcement on the [discussion group](https://groups.google.com/forum/?fromgroups#!forum/django-rest-framework). - [x] Make a release announcement on twitter. - [x] Close the milestone on GitHub.