Datasets:
thepurpleowl
/
codequeries

Dataset card Data Studio Files
query_name
stringlengths
13
55
code_file_path
stringlengths
14
194
context_blocks
list
answer_spans
list
supporting_fact_spans
list
example_type
int8
0
1
single_hop
bool
2 classes
subtokenized_input_sequence
list
label_sequence
list
NotImplemented is not an Exception
GoogleCloudPlatform/PerfKitBenchmarker/perfkitbenchmarker/background_tasks.py
[ { "content": " @abc.abstractmethod\n def StartTask(self, target, args, kwargs, thread_context):\n \"\"\"Creates and starts a _BackgroundTask.\n\n The created task is appended to self.tasks.\n\n Args:\n target: Function that is invoked in the child thread or process.\n args: Series of unnamed arguments to be passed to the target.\n kwargs: dict. Keyword arguments to be passed to the target.\n thread_context: _BackgroundTaskThreadContext. Thread-specific state to be\n inherited from parent to child thread.\n \"\"\"\n raise NotImplemented()", "metadata": "root._BackgroundTaskManager.StartTask", "header": "['class', '_BackgroundTaskManager', '(', 'object', ')', ':', '___EOS___']", "index": 258 }, { "content": " @abc.abstractmethod\n def AwaitAnyTask(self):\n \"\"\"Waits for any of the started tasks to complete.\n\n Returns:\n int. Index of the task that completed in self.tasks.\n \"\"\"\n raise NotImplemented()", "metadata": "root._BackgroundTaskManager.AwaitAnyTask", "header": "['class', '_BackgroundTaskManager', '(', 'object', ')', ':', '___EOS___']", "index": 273 }, { "content": " @abc.abstractmethod\n def HandleKeyboardInterrupt(self):\n \"\"\"Called by the parent thread if a KeyboardInterrupt occurs.\n\n Ensures that any child thread also receives a KeyboardInterrupt, and then\n waits for each child thread to stop executing.\n \"\"\"\n raise NotImplemented()", "metadata": "root._BackgroundTaskManager.HandleKeyboardInterrupt", "header": "['class', '_BackgroundTaskManager', '(', 'object', ')', ':', '___EOS___']", "index": 282 } ]
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[]
1
true
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Except block handles 'BaseException'
OpenMOOC/askbot-openmooc/askbotopenmooc/utils/openmooc-askbot-instancetool.py
[ { "content": " def create_instance(self, instance_name, instance_db_name):\n \"\"\"\n Create the main instance in the instances directory.\n \"\"\"\n INSTANCE_DIR = os.path.join(icc.DEFAULT_INSTANCE_DIR, instance_name)\n # First, copy the skel template in the destination directory\n try:\n shutil.copytree(icc.SKEL_DIR, INSTANCE_DIR)\n os.chdir(INSTANCE_DIR)\n # Second, call populate_file\n template = os.path.join(INSTANCE_DIR, 'instance_settings.py')\n\n os.symlink(\n os.path.join('/usr', 'bin', 'openmooc-askbot-admin'),\n os.path.join(INSTANCE_DIR, 'manage.py'))\n\n values = {\n 'instance_name': instance_name,\n 'instance_db_name': instance_db_name,\n 'instance_db_host': icc.DB_HOST,\n 'base_url': icc.BASE_URL\n }\n self._populate_file(template, values)\n print(' [ OK ] Instance {0} created.'.format(instance_name))\n except:\n self.abort(' [ERROR] Couldn\\'t copy the instance skeleton into '\n 'destination or populate the settings. Please check: '\n 'a) You have permission. '\n 'b) The directory doesn\\'t exist already.')", "metadata": "root.AskbotInstance.create_instance", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 100 }, { "content": " def create_db(self, instance_db_name):\n \"\"\"\n Create the database for the designated instance.\n \"\"\"\n createdb = subprocess.Popen(('su - postgres -c \"createdb %s -w -O %s '\n '-E UTF8\"') % (instance_db_name,\n icc.DB_USER), shell=True)\n createdb.wait() # Wait until it finishes\n try:\n psycopg2.connect(\n database=instance_db_name,\n user=icc.DB_USER,\n password=icc.DB_PASSWORD,\n host=icc.DB_HOST\n )\n print(' [ OK ] Database {0} created and connection '\n 'tested.'.format(instance_db_name))\n except:\n self.abort(' [ERROR] Couldn\\'t connect to the PostgreSQL server '\n '(authentication failed or server down). Aborting.')", "metadata": "root.AskbotInstance.create_db", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 130 }, { "content": " def add_instance_to_supervisor(self, instance_name):\n \"\"\"\n Creates the supervisor file into the directory\n \"\"\"\n INSTANCE_DIR = os.path.join(icc.DEFAULT_INSTANCE_DIR, instance_name)\n try:\n template = os.path.join(INSTANCE_DIR, 'supervisor.conf')\n values = {\n 'instance_name': instance_name,\n 'instance_dir': INSTANCE_DIR\n }\n self._populate_file(template, values)\n os.symlink(template, os.path.join(\n '/etc', 'supervisord.d',\n 'openmooc-askbot-%s.conf' % instance_name))\n print(' [ OK ] Populated the supervisor settings.')\n except:\n self.abort(' [ERROR] Couldn\\'t populate the supervisor settings. '\n 'Exiting.')", "metadata": "root.AskbotInstance.add_instance_to_supervisor", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 174 }, { "content": " def add_instance_to_nginx(self, instance_name):\n \"\"\"\n Creates the nginx file for the local askbot and also the nginx forward\n configuration for the proxy machine. Remember that some values of the\n forward file need to be changed manually!\n \"\"\"\n INSTANCE_DIR = os.path.join(icc.DEFAULT_INSTANCE_DIR, instance_name)\n try:\n # Populate the nginx file\n template = os.path.join(INSTANCE_DIR, 'nginx.conf')\n values = {'instance_name': instance_name}\n self._populate_file(template, values)\n # Populate the nginx.forward file\n template = os.path.join(INSTANCE_DIR, 'nginx.forward.conf')\n values = {'instance_name': instance_name}\n self._populate_file(template, values)\n print(' [ OK ] Populated nginx and nginx.forward settings.')\n except:\n self.abort(' [ERROR] Couldn\\'t populate the nginx or the '\n 'nginx.forward settings. Exiting.')\n\n # TODO\n #self._copy_to_remote(os.path.join(INSTANCE_DIR, 'nginx.forward.conf'))", "metadata": "root.AskbotInstance.add_instance_to_nginx", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 194 }, { "content": " def update_entries_metadata(self):\n \"\"\"\n Update all entries' metadata\n \"\"\"\n try:\n update_metadata = subprocess.Popen(('openmooc-askbot-admin '\n 'update_entries_metadata'),\n shell=True)\n update_metadata.wait() # Wait until it finishes\n\n url = ('https://idp.mooc.educalab.es/simplesaml/module.php/cron/'\n 'cron.php?key=%s&tag=metarefresh') % icc.META_REFRESH_KEY\n requests.get(url)\n except:\n self.abort(' [ERROR] Couldn\\'t update the entries\\' metadata. '\n 'Exiting.')", "metadata": "root.AskbotInstance.update_entries_metadata", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 227 }, { "content": " def disable_instance(self, instance_name):\n \"\"\"\n Disables an instance so it won't be available anymore.\n \"\"\"\n INSTANCE_DIR = os.path.join(icc.DEFAULT_INSTANCE_DIR, instance_name)\n try:\n # Create a disabled instances folder if it doesn't exist already\n if not os.path.isdir(icc.DEFAULT_DISABLED_INSTANCES_DIR):\n os.makedirs(icc.DEFAULT_DISABLED_INSTANCES_DIR)\n # Get the instance dir, copy the data to the disabled folder and\n # delete the instance folder.\n shutil.copy(INSTANCE_DIR, icc.DEFAULT_DISABLED_INSTANCES_DIR)\n shutil.rmtree(INSTANCE_DIR)\n # FIXME it doesn't work\n\n # TODO disable the instance at supervisor and nginx levels too\n print(' [ OK ] Instance {0} disabled.'.format(instance_name))\n except:\n self.abort(' [ERROR] Couldn\\'t disable the instance. Please check '\n 'the directories.')", "metadata": "root.AskbotInstance.disable_instance", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 244 }, { "content": " def destroy_instance(self, instance_name):\n \"\"\"\n Destroys the database and contents of the instance completely\n \"\"\"\n INSTANCE_DIR = os.path.join(icc.DEFAULT_INSTANCE_DIR, instance_name)\n # Ensure we can import the instance settings\n sys.path.insert(0, INSTANCE_DIR)\n try:\n import instance_settings\n except:\n self.abort(' [ERROR] Couldn\\'t import the instance settings to '\n 'destroy it. Check that it exists. Aborting.')\n try:\n instance_db_name = instance_settings.DATABASE_NAME\n dropdb = subprocess.Popen('su - postgres -c \"dropdb %s\"' %\n instance_db_name, shell=True)\n dropdb.wait()\n shutil.rmtree(INSTANCE_DIR)\n os.remove(os.path.join('/etc', 'supervisord.d',\n 'openmooc-askbot-%s.conf' % instance_name))\n print(' [ OK ] Instance {0} destroyed.'.format(instance_name))\n except:\n self.abort(' [ERROR] Couldn\\'t drop database or remove instance '\n 'files. Aborting.')", "metadata": "root.AskbotInstance.destroy_instance", "header": "['class', 'AskbotInstance', '(', ')', ':', '___EOS___']", "index": 265 } ]
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1
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Unused local variable
neuropoly/spinalcordtoolbox/dev/sct_segment_gray_matter_asman/sct_asman_old.py
[ { "content": " def target_pairwise_registration(self, inverse=False):\n \"\"\"\n Register the target image into the model space\n\n Affine (or rigid + affine) registration of the target on the mean model image --> pairwise\n\n :param inverse: if True, apply the inverse warping field of the registration target -> model space\n to the result gray matter segmentation of the target\n (put it back in it's original space)\n \"\"\"\n if not inverse:\n # Registration target --> model space\n target_model_space = []\n mean_dic_im = self.model.pca.mean_image\n for i, target_slice in enumerate(self.target):\n moving_target_slice = target_slice.im\n for transfo in self.model.dictionary.coregistration_transfos:\n transfo_name = transfo + '_transfo_target2model_space_slice_' + str(i) + find_ants_transfo_name(transfo)[0]\n\n moving_target_slice = apply_ants_transfo(mean_dic_im, moving_target_slice, binary=False, transfo_type=transfo, transfo_name=transfo_name)\n self.target[i].set(im_m=moving_target_slice)\n # target_model_space.append(moving_target_slice)\n # return Image(param=np.asarray(target_model_space))\n else:\n # Inverse registration result in model space --> target original space\n res_seg = []\n # mean_dic_im = self.model.pca.mean_image\n\n # for i, slice_M in enumerate(self.target_GM_seg_M.data):\n for i, target_slice in enumerate(self.target):\n if self.model.param.seg_type == 'wm':\n moving_seg_slice = target_slice.wm_seg_M\n else:\n moving_seg_slice = target_slice.gm_seg_M\n\n for transfo in self.model.dictionary.coregistration_transfos:\n transfo_name = transfo + '_transfo_target2model_space_slice_' + str(i) + find_ants_transfo_name(transfo)[0]\n moving_seg_slice = apply_ants_transfo(self.model.dictionary.mean_seg, moving_seg_slice, search_reg=False, binary=True, inverse=1, transfo_type=transfo, transfo_name=transfo_name)\n\n if self.model.param.seg_type == 'wm':\n target_slice.set(wm_seg=moving_seg_slice)\n else:\n target_slice.set(gm_seg=moving_seg_slice)\n # res_seg.append(moving_seg_slice)\n # return Image(param=np.asarray(res_seg))", "metadata": "root.TargetSegmentationPairwise.target_pairwise_registration", "header": "['class', 'TargetSegmentationPairwise', ':', '___EOS___']", "index": 1320 } ]
[ { "span": "target_model_space ", "start_line": 1332, "start_column": 12, "end_line": 1332, "end_column": 30 }, { "span": "res_seg ", "start_line": 1345, "start_column": 12, "end_line": 1345, "end_column": 19 } ]
[]
1
true
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Unused import
ardekantur/pyglet/contrib/wydget/wydget/widgets/table.py
[ { "content": "import datetime\nimport xml.sax.saxutils\n\nfrom pyglet.gl import *\n\nfrom wydget import element, event, layouts, loadxml, util\nfrom wydget.widgets.frame import Frame, ContainerFrame\nfrom wydget.widgets.slider import VerticalSlider, HorizontalSlider\nfrom wydget.widgets.label import Label\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Table(element.Element):\n name = 'table'\n h_slider = None\n v_slider = None\n\n\n inner_rect = property(get_inner_rect)\n\n", "metadata": "root.Table", "header": "['module', '___EOS___']", "index": 10 }, { "content": " def __init__(self, parent, size=None, is_exclusive=False,\n color=(0, 0, 0, 1), bgcolor=(1, 1, 1, 1),\n alt_bgcolor=(.9, .9, .9, 1), active_bgcolor=(1, .8, .8, 1),\n x=0, y=0, z=0, width='100%', height=None, **kw):\n font_size = parent.getStyle().font_size\n size = util.parse_value(size, None)\n if size is not None:\n height = (size + 1) * font_size\n\n self.is_exclusive = is_exclusive\n\n super(Table, self).__init__(parent, x, y, z, width, height,\n bgcolor=bgcolor, **kw)\n\n # rows go in under the heading\n #self.contents = TableContainer(self)\n self.contents = ContainerFrame(self)\n self.contents.layout = layouts.Layout(self.contents)\n self.contents.checkForScrollbars()\n\n # specific attributes for rows\n self.color = util.parse_color(color)\n self.base_bgcolor = self.bgcolor\n self.alt_bgcolor = util.parse_color(alt_bgcolor)\n self.active_bgcolor = util.parse_color(active_bgcolor)", "metadata": "root.Table.__init__", "header": "['class', 'Table', '(', 'element', '.', 'Element', ')', ':', '___EOS___']", "index": 15 }, { "content": " def get_inner_rect(self):\n p = self.padding\n font_size = self.getStyle().font_size\n return util.Rect(p, p, self.width - p*2, self.height - p*2 - font_size)", "metadata": "root.Table.get_inner_rect", "header": "['class', 'Table', '(', 'element', '.', 'Element', ')', ':', '___EOS___']", "index": 41 }, { "content": " def layoutDimensionsChanged(self, layout):\n pass", "metadata": "root.Table.layoutDimensionsChanged", "header": "['class', 'Table', '(', 'element', '.', 'Element', ')', ':', '___EOS___']", "index": 47 }, { "content": " @classmethod\n def fromXML(cls, element, parent):\n '''Create the object from the XML element and attach it to the parent.\n\n If scrollable then put all children loaded into a container frame.\n '''\n kw = loadxml.parseAttributes(element)\n obj = cls(parent, **kw)\n for child in element.getchildren():\n if child.tag == 'row':\n Row.fromXML(child, obj.contents)\n elif child.tag == 'heading':\n obj.heading = Heading.fromXML(child, obj)\n obj.heading.layout.layout()\n else:\n raise ValueError, 'unexpected tag %r'%child.tag\n obj.contents.layout.layout()\n return obj", "metadata": "root.Table.fromXML", "header": "['class', 'Table', '(', 'element', '.', 'Element', ')', ':', '___EOS___']", "index": 50 }, { "content": "class Heading(Frame):\n name = 'heading'\n", "metadata": "root.Heading", "header": "['module', '___EOS___']", "index": 69 }, { "content": " def __init__(self, parent, width='100%', bgcolor='aaa', **kw):\n kw['y'] = parent.height - parent.getStyle().font_size\n super(Heading, self).__init__(parent, width=width, **kw)\n self.layout = layouts.Horizontal(self, valign='top', halign='fill',\n padding=2)", "metadata": "root.Heading.__init__", "header": "['class', 'Heading', '(', 'Frame', ')', ':', '___EOS___']", "index": 72 }, { "content": "class Row(Frame):\n name = 'row'\n\n", "metadata": "root.Row", "header": "['module', '___EOS___']", "index": 79 }, { "content": " def __init__(self, parent, border=None, color=None, bgcolor=None,\n active_bgcolor=None, is_active=False, width='100%', **kw):\n self.is_active = is_active\n\n # default styling and width to parent settings\n n = len(parent.children)\n table = parent.parent\n if color is None:\n color = table.color\n if bgcolor is None:\n bgcolor = (table.bgcolor, table.alt_bgcolor)[n%2]\n if active_bgcolor is None:\n self.active_bgcolor = table.active_bgcolor\n else:\n self.active_bgcolor = util.parse_color(active_bgcolor)\n\n font_size = parent.getStyle().font_size\n kw['y'] = n * font_size\n kw['height'] = font_size\n super(Row, self).__init__(parent, border=border, bgcolor=bgcolor,\n width=width, **kw)\n self.base_bgcolor = bgcolor", "metadata": "root.Row.__init__", "header": "['class', 'Row', '(', 'Frame', ')', ':', '___EOS___']", "index": 82 }, { "content": " def renderBackground(self, clipped):\n '''Select the correct background color to render.\n '''\n if self.is_active and self.active_bgcolor:\n self.bgcolor = self.active_bgcolor\n else:\n self.bgcolor = self.base_bgcolor\n super(Row, self).renderBackground(clipped)", "metadata": "root.Row.renderBackground", "header": "['class', 'Row', '(', 'Frame', ')', ':', '___EOS___']", "index": 105 }, { "content": "class Cell(Label):\n name = 'cell'\n\n", "metadata": "root.Cell", "header": "['module', '___EOS___']", "index": 116 }, { "content": " def __init__(self, parent, value, type='string', **kw):\n self.value = value\n self.type = type\n self.column = len(parent.children)\n kw['x'] = parent.parent.parent.heading.children[self.column].x\n if type == 'time':\n if value.hour:\n text = '%d:%02d:%02d'%(value.hour, value.minute, value.second)\n else:\n text = '%d:%02d'%(value.minute, value.second)\n else:\n text = str(value)\n super(Cell, self).__init__(parent, text, **kw)", "metadata": "root.Cell.__init__", "header": "['class', 'Cell', '(', 'Label', ')', ':', '___EOS___']", "index": 119 }, { "content": " @classmethod\n def fromXML(cls, element, parent):\n '''Create the object from the XML element and attach it to the parent.\n '''\n kw = loadxml.parseAttributes(element)\n text = xml.sax.saxutils.unescape(element.text)\n\n t = kw.get('type')\n if t == 'integer':\n value = int(text)\n elif t == 'time':\n if ':' in text:\n # (h:)m:s value\n value = map(int, text.split(':'))\n if len(value) == 2: m, s = value[0], value[1]\n else: h, m, s = value[0], value[1], value[2]\n else:\n # seconds value\n value = int(text)\n s = value % 60\n m = (value / 60) % 60\n h = value / 360\n value = datetime.time(h, m, s)\n else:\n value = text\n\n obj = cls(parent, value, **kw)\n\n #for child in element.getchildren():\n # loadxml.getConstructor(element.tag)(child, obj)\n return obj", "metadata": "root.Cell.fromXML", "header": "['class', 'Cell', '(', 'Label', ')', ':', '___EOS___']", "index": 133 } ]
[ { "span": "from wydget import element, event, layouts, loadxml, util", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 57 }, { "span": "from wydget.widgets.slider import VerticalSlider, HorizontalSlider", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 66 } ]
[]
1
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Unused import
VisTrails/VisTrails/contrib/sahm/init.py
[ { "content": "#test from marian\nimport csv\nfrom datetime import datetime\nimport glob\nimport itertools\nimport os\nimport shutil\nimport sys\nimport subprocess\nimport traceback\n\nfrom core.modules.vistrails_module import Module, ModuleError, ModuleConnector\nfrom core.modules.basic_modules import File, Directory, Path, new_constant, Constant\nfrom packages.spreadsheet.basic_widgets import SpreadsheetCell, CellLocation\nfrom packages.spreadsheet.spreadsheet_cell import QCellWidget, QCellToolBar\n#from packages.persistence.init import PersistentPath, PersistentFile, PersistentDir\n\nfrom core.modules.basic_modules import List\nfrom core.modules.basic_modules import String\n\nfrom PyQt4 import QtCore, QtGui\n\nfrom widgets import get_predictor_widget, get_predictor_config\nfrom enum_widget import build_enum_widget\n\nfrom SelectPredictorsLayers import SelectListDialog\n\nimport utils\n#import our python SAHM Processing files\nimport packages.sahm.pySAHM.FieldDataQuery as FDQ\nimport packages.sahm.pySAHM.MDSBuilder as MDSB\nimport packages.sahm.pySAHM.PARC as parc\nimport packages.sahm.pySAHM.RasterFormatConverter as RFC\nimport packages.sahm.pySAHM.MaxentRunner as MaxentRunner\nfrom SahmOutputViewer import SAHMModelOutputViewerCell\nfrom SahmSpatialOutputViewer import SAHMSpatialOutputViewerCell \n\nfrom utils import writetolog\nfrom pySAHM.utilities import TrappedError\n\nfrom SahmSpatialOutputViewer import setQGIS\n\nidentifier = 'gov.usgs.sahm' \n\n\n\n\n\n\n \n \n \n\n\n \n\n \n# def compute(self):\n# output_file = create_file_module(self.force_get_input('FilePath', []))\n# self.set_output('value', output_file)\n\n#class SingleInputPredictor(Predictor):\n# pass\n#\n#class SpatialDef(Module):\n# _output_ports = [('spatialDef', '(gov.usgs.sahm:SpatialDef:DataInput)')]\n\n \n# def compute(self, is_input=None):\n# PersistentPath.compute(self, is_input, 'blob')\n\n \n \n\n\n\n \n\n\n \n\n \n \n\n\n\n#class ClimateModel(String):\n# _input_ports = [('value', '(gov.usgs.sahm:ClimateModel:Other)')]\n# _output_ports = [('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]\n# _widget_class = build_enum_widget('ClimateModel', \n# ['CCCMA', 'CSIRO', 'hadcm3'])\n#\n# @staticmethod\n# def get_widget_class():\n# return ClimateModel._widget_class\n#\n#class ClimateScenario(String):\n# _input_ports = [('value', '(gov.usgs.sahm:ClimateScenario:Other)')]\n# _output_ports = [('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]\n# _widget_class = build_enum_widget('ClimateScenario', \n# ['A2a', 'B2b'])\n#\n# @staticmethod\n# def get_widget_class():\n# return ClimateScenario._widget_class\n#\n#class ClimateYear(String):\n# _input_ports = [('value', '(gov.usgs.sahm:ClimateYear:Other)')]\n# _output_ports = [('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]\n# _widget_class = build_enum_widget('ClimateYear', \n# ['2020', '2050', '2080'])\n#\n# @staticmethod\n# def get_widget_class():\n# return ClimateYear._widget_class\n\n \n\n\n#class ModelOutputCell(SpreadsheetCell):\n# _input_ports = [(\"row\", \"(edu.utah.sci.vistrails.basic:Integer)\"),\n# (\"column\", \"(edu.utah.sci.vistrails.basic:Integer)\"),\n# ('ProbabilityMap', '(edu.utah.sci.vistrails.basic:File)')]\n# \n# def __init__(self):\n# SpreadsheetCell.__init__(self)\n# self.cellWidget = None\n#\n# def compute(self):\n# renderView = self.force_get_input('SetRenderView')\n# if renderView==None:\n# raise ModuleError(self, 'A vtkRenderView input is required.')\n# self.cellWidget = self.displayAndWait(QVTKViewWidget, (renderView,))\n\n#class SAHMViewWidget(QCellWidget):\n# def __init__(self, parent=None, f=QtCore.Qt.WindowFlags()):\n# QCellWidget.__init__(self, parent, f | QtCore.Qt.MSWindowsOwnDC)\n# \n\n#class RasterLayer(Module):\n# _input_ports = [('file', '(edu.utah.sci.vistrails.basic:File)'), \n# ('name', '(edu.utah.sci.vistrails.basic:String)')]\n# _output_ports = [('self', '(gov.usgs.sahm:RasterLayer:DataInput)')]\n#\n# def __init__(self):\n# Module.__init__(self)\n# self.qgis_obj = None\n#\n# def compute(self):\n# fname = self.get_input('file').name\n# if self.has_input('name'):\n# name = self.get_input('name')\n# else:\n# name = os.path.splitext(os.path.basename(fname))[0]\n# self.qgis_obj = qgis.core.QgsRasterLayer(fname, name)\n# self.set_output('self', self)\n#\n#class VectorLayer(Module):\n# _input_ports = [('file', '(edu.utah.sci.vistrails.basic:File)'), \n# ('name', '(edu.utah.sci.vistrails.basic:String)')]\n# _output_ports = [('self', '(gov.usgs.sahm:VectorLayer:DataInput)')]\n#\n# def __init__(self):\n# Module.__init__(self)\n# self.qgis_obj = None\n#\n# def compute(self):\n# fname = self.get_input('file').name\n# if self.has_input('name'):\n# name = self.get_input('name')\n# else:\n# name = os.path.splitext(os.path.basename(fname))[0]\n# self.qgis_obj = qgis.core.QgsVectorLayer(fname, name, \"ogr\")\n# self.set_output('self', self)\n\n\n\n \n\n\n\n\n\n \n\n_modules = generate_namespaces({'DataInput': [\n Predictor,\n PredictorListFile,\n FieldData,\n TemplateLayer] + \\\n build_predictor_modules(),\n 'Tools': [FieldDataAggregateAndWeight,\n MDSBuilder,\n PARC,\n RasterFormatConverter,\n ProjectionLayers,\n TestTrainingSplit,\n CovariateCorrelationAndSelection,\n ApplyModel], \n 'Models': [GLM,\n RandomForest,\n MARS,\n MAXENT,\n BoostedRegressionTree],\n 'Other': [(Model, {'abstract': True}),\n (ResampleMethod, {'abstract': True}),\n (AggregationMethod, {'abstract': True}),\n (PredictorList, {'abstract': True}),\n (MergedDataSet, {'abstract': True}),\n (RastersWithPARCInfoCSV, {'abstract': True})],\n 'Output': [SAHMModelOutputViewerCell,\n SAHMSpatialOutputViewerCell,\n ]\n# ClimateModel,\n# ClimateScenario,\n# ClimateYear\n\n })", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def menu_items():\n \"\"\" Add a menu item which allows users to specify their session directory\n \"\"\"\n def change_session_folder():\n global session_dir\n \n path = str(QtGui.QFileDialog.getExistingDirectory(None,\n 'Browse to new session folder -'))\n session_dir = path\n utils.setrootdir(path)\n \n writetolog(\"*\" * 79 + \"\\n\" + \"*\" * 79)\n writetolog(\" output directory: \" + session_dir)\n writetolog(\"*\" * 79 + \"\\n\" + \"*\" * 79)\n \n lst = []\n lst.append((\"Change session folder\", change_session_folder))\n return(lst)", "metadata": "root.menu_items", "header": "['module', '___EOS___']", "index": 44 }, { "content": "def expand_ports(port_list):\n new_port_list = []\n for port in port_list:\n port_spec = port[1]\n if type(port_spec) == str: # or unicode...\n if port_spec.startswith('('):\n port_spec = port_spec[1:]\n if port_spec.endswith(')'):\n port_spec = port_spec[:-1]\n new_spec_list = []\n for spec in port_spec.split(','):\n spec = spec.strip()\n parts = spec.split(':', 1)\n# print 'parts:', parts\n namespace = None\n if len(parts) > 1:\n mod_parts = parts[1].rsplit('|', 1)\n if len(mod_parts) > 1:\n namespace, module_name = mod_parts\n else:\n module_name = parts[1]\n if len(parts[0].split('.')) == 1:\n id_str = 'edu.utah.sci.vistrails.' + parts[0]\n else:\n id_str = parts[0]\n else:\n mod_parts = spec.rsplit('|', 1)\n if len(mod_parts) > 1:\n namespace, module_name = mod_parts\n else:\n module_name = spec\n id_str = identifier\n if namespace:\n new_spec_list.append(id_str + ':' + module_name + ':' + \\\n namespace)\n else:\n new_spec_list.append(id_str + ':' + module_name)\n port_spec = '(' + ','.join(new_spec_list) + ')'\n new_port_list.append((port[0], port_spec) + port[2:])\n# print new_port_list\n return new_port_list", "metadata": "root.expand_ports", "header": "['module', '___EOS___']", "index": 66 }, { "content": "class FieldData(Path): \n '''\n Field Data\n\n The FieldData module allows a user to add presence/absence points or count data recorded across a\n landscape for the phenomenon being modeled (e.g., plant sightings, evidence of animal presence, etc.).\n The input data for this module must be in the form of a .csv file that follows one of two formats: \n\n Format 1\n A .csv file with the following column headings, in order: \"X,\" \"Y,\" and \"responseBinary\".\n In this case, the \"X\" field should be populated with the horizontal (longitudinal) positional\n data for a sample point. The \"Y\" field should be populated with the vertical (latitudinal) data\n for a sample point. These values must be in the same coordinate system/units as the template\n layer used in the workflow. The column \"responseBinary\" should be populated with either a '0'\n (indicating absence at the point) or a '1' (indicating presence at the point).\n\n Format 2\n A .csv file with the following column headings, in order: \"X,\" \"Y,\" and \"responseCount\".\n In this case, the \"X\" field should be populated with the horizontal (longitudinal) positional\n data for a sample point. The \"Y\" field should be populated with the vertical (latitudinal) data\n for a sample point. These values must be in the same coordinate system/units as the template\n layer used in the workflow. The column \"responseCount\" should be populated with either a '-9999'\n (indicating that the point is a background point) or a numerical value (either '0' or a positive integer)\n indicating the number of incidences of the phenomenon recorded at that point.\n ''' \n# _input_ports = [('csvFile', '(edu.utah.sci.vistrails.basic:File)')]\n _output_ports = [('value', '(gov.usgs.sahm:FieldData:DataInput)'),\n ('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]", "metadata": "root.FieldData", "header": "['module', '___EOS___']", "index": 108 }, { "content": "class AggregationMethod(String):\n '''\n This module is a required class for other modules and scripts within the\n SAHM package. It is not intended for direct use or incorporation into\n the VisTrails workflow by the user.\n '''\n _input_ports = [('value', '(gov.usgs.sahm:AggregationMethod:Other)')]\n _output_ports = [('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]\n _widget_class = build_enum_widget('AggregationMethod', \n ['Mean', 'Max', 'Min', 'Majority', 'None'])\n", "metadata": "root.AggregationMethod", "header": "['module', '___EOS___']", "index": 139 }, { "content": " @staticmethod\n def get_widget_class():\n return AggregationMethod._widget_class", "metadata": "root.AggregationMethod.get_widget_class", "header": "['class', 'AggregationMethod', '(', 'String', ')', ':', '___EOS___']", "index": 150 }, { "content": "class ResampleMethod(String):\n '''\n This module is a required class for other modules and scripts within the\n SAHM package. It is not intended for direct use or incorporation into\n the VisTrails workflow by the user.\n '''\n _input_ports = [('value', '(gov.usgs.sahm:ResampleMethod:Other)')]\n _output_ports = [('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]\n _widget_class = build_enum_widget('ResampleMethod', \n ['NearestNeighbor', 'Bilinear', 'Cubic', 'CubicSpline', 'Lanczos'])\n", "metadata": "root.ResampleMethod", "header": "['module', '___EOS___']", "index": 154 }, { "content": " @staticmethod\n def get_widget_class():\n return ResampleMethod._widget_class", "metadata": "root.ResampleMethod.get_widget_class", "header": "['class', 'ResampleMethod', '(', 'String', ')', ':', '___EOS___']", "index": 165 }, { "content": "class Predictor(Constant):\n '''\n Predictor\n \n The Predictor module allows a user to select a single raster layer for consideration in the\n modeled analysis. Four parameters must be specified by the user:\n \n 1. Aggregation Method: The aggregation method to be used in the event that the raster layer\n must be up-scaled to match the template layer (e.g., generalizing a 10 m input layer to a\n 100 m output layer). Care should be taken to ensure that the aggregation method that\n best preserves the integrity of the data is used.\n \n 2. Resample Method: The resample method employed to interpolate new cell values when\n transforming the raster layer to the coordinate space or cell size of the template layer,\n if necessary. \n \n 3. Categorical (Boolean): Checking this box indicates that the data contained in the raster\n layer is categorical (e.g. landcover categories). Leaving this box unchecked indicates that\n the data contained in the raster is continuous (e.g., a DEM layer). This distinction is important\n in determining an appropriate resampling method.\n \n 4. File Path: The location of the raster predictor file, which a user can specify by navigating to the\n file's location on their file system. When a user is selecting an ESRI grid raster, the user should navigate\n to the 'hdr.adf' file contained within the grid folder.\n\n '''\n _input_ports = [('categorical', '(edu.utah.sci.vistrails.basic:Boolean)'),\n ('ResampleMethod', '(gov.usgs.sahm:ResampleMethod:Other)', {'defaults':str(['Bilinear'])}),\n ('AggregationMethod', '(gov.usgs.sahm:AggregationMethod:Other)', {'defaults':str(['Mean'])}),\n ('file', '(edu.utah.sci.vistrails.basic:Path)')]\n _output_ports = [('value', '(gov.usgs.sahm:Predictor:DataInput)'),\n ('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]\n", "metadata": "root.Predictor", "header": "['module', '___EOS___']", "index": 169 }, { "content": " def compute(self):\n if (self.has_input(\"ResampleMethod\")):\n resampleMethod = self.get_input(\"ResampleMethod\")\n if resampleMethod.lower() not in ['nearestneighbor', 'bilinear', 'cubic', 'cubicspline', 'lanczos']:\n raise ModuleError(self, \n \"Resample Method not one of 'nearestneighbor', 'bilinear', 'cubic', 'cubicspline', or 'lanczos'\")\n else:\n resampleMethod = 'Bilinear'\n \n if (self.has_input(\"AggregationMethod\")):\n aggregationMethod = self.get_input(\"AggregationMethod\")\n if self.get_input(\"AggregationMethod\").lower() not in ['mean', 'max', 'min', 'majority', 'none']:\n raise ModuleError(self, \"No Aggregation Method specified\")\n else:\n aggregationMethod = \"Mean\"\n \n if (self.has_input(\"categorical\")):\n if self.get_input(\"categorical\") == True:\n categorical = '1'\n else:\n categorical = '0'\n else:\n categorical = '0'\n \n if (self.has_input(\"file\")):\n inFile = utils.getRasterName(self.get_input(\"file\").name)\n else:\n raise ModuleError(self, \"No input file specified\")\n self.set_output('value', (inFile, categorical, resampleMethod, aggregationMethod))", "metadata": "root.Predictor.compute", "header": "['class', 'Predictor', '(', 'Constant', ')', ':', '___EOS___']", "index": 202 }, { "content": "class PredictorList(Constant):\n '''\n This module is a required class for other modules and scripts within the\n SAHM package. It is not intended for direct use or incorporation into\n the VisTrails workflow by the user.\n '''\n _input_ports = expand_ports([('value', 'Other|PredictorList'),\n ('addPredictor', 'DataInput|Predictor')])\n _output_ports = expand_ports([('value', 'Other|PredictorList')])\n \n\n\n", "metadata": "root.PredictorList", "header": "['module', '___EOS___']", "index": 232 }, { "content": " @staticmethod\n def translate_to_string(v):\n return str(v)", "metadata": "root.PredictorList.translate_to_string", "header": "['class', 'PredictorList', '(', 'Constant', ')', ':', '___EOS___']", "index": 242 }, { "content": " @staticmethod\n def translate_to_python(v):\n v_list = eval(v)\n return v_list", "metadata": "root.PredictorList.translate_to_python", "header": "['class', 'PredictorList', '(', 'Constant', ')', ':', '___EOS___']", "index": 246 }, { "content": " @staticmethod\n def validate(x):\n return type(x) == list", "metadata": "root.PredictorList.validate", "header": "['class', 'PredictorList', '(', 'Constant', ')', ':', '___EOS___']", "index": 251 }, { "content": " def compute(self):\n p_list = self.force_get_input_list(\"addPredictor\")\n v = self.force_get_input(\"value\", [])\n \n b = self.validate(v)\n if not b:\n raise ModuleError(self, \"Internal Error: Constant failed validation\")\n if len(v) > 0 and type(v[0]) == tuple:\n f_list = [utils.create_file_module(v_elt[1]) for v_elt in v]\n else:\n f_list = v\n p_list += f_list\n #self.set_output(\"value\", p_list)\n self.set_output(\"value\", v) ", "metadata": "root.PredictorList.compute", "header": "['class', 'PredictorList', '(', 'Constant', ')', ':', '___EOS___']", "index": 255 }, { "content": "class PredictorListFile(Module):\n '''\n Predictor List File\n\n The PredictorListFile module allows a user to load a .csv file containing a list\n of rasters for consideration in the modeled analysis. The .csv file should contain\n a header row and four columns containing the following information, in order, for\n each raster input. \n \n Column 1: The full file path to the input raster layer.\n \n Column 2: A binary value indicating whether the input layer is categorical or not.\n A value of \"0\" indicates that an input raster is non-categorical data (continuous),\n while a value of \"1\" indicates that an input raster is categorical data.\n \n Column 3: The resampling method employed to interpolate new cell values when\n transforming the raster layer to the coordinate space or cell size of the template\n layer, if necessary. The resampling type should be specified using one of the following\n values: \"nearestneighbor,\" \"bilinear,\" \"cubic,\" or \"lanczos.\"\n \n Column 4: The aggregation method to be used in the event that the raster layer\n must be up-scaled to match the template layer (e.g., generalizing a 10 m input layer to a\n 100 m output layer). Care should be taken to ensure that the aggregation method that\n best preserves the integrity of the data is used. The aggregation should be specified\n using one of the following values: \"Min,\" \"Mean,\" \"Max,\" \"Majority,\" or \"None.\"\n\n In formatting the list of predictor files, the titles assigned to each of the columns\n are unimportant as the module retrieves the information based on the order of the\n values in the .csv file (the ordering of the information and the permissible values\n in the file however, are strictly enforced). The module also anticipates a header row\n and will ignore the first row in the .csv file.\n\n '''\n _input_ports = expand_ports([('csvFileList', '(edu.utah.sci.vistrails.basic:File)'),\n ('addPredictor', 'DataInput|Predictor')])\n _output_ports = expand_ports([('RastersWithPARCInfoCSV', '(gov.usgs.sahm:RastersWithPARCInfoCSV:Other)')])\n\n #copies the input predictor list csv to our working directory\n #and appends any additionally added predictors\n\n\n\n", "metadata": "root.PredictorListFile", "header": "['module', '___EOS___']", "index": 270 }, { "content": " @staticmethod\n def translate_to_string(v):\n return str(v)", "metadata": "root.PredictorListFile.translate_to_string", "header": "['class', 'PredictorListFile', '(', 'Module', ')', ':', '___EOS___']", "index": 310 }, { "content": " @staticmethod\n def translate_to_python(v):\n v_list = eval(v)\n return v_list", "metadata": "root.PredictorListFile.translate_to_python", "header": "['class', 'PredictorListFile', '(', 'Module', ')', ':', '___EOS___']", "index": 314 }, { "content": " @staticmethod\n def validate(x):\n return type(x) == list", "metadata": "root.PredictorListFile.validate", "header": "['class', 'PredictorListFile', '(', 'Module', ')', ':', '___EOS___']", "index": 319 }, { "content": " def compute(self):\n if not (self.has_input(\"csvFileList\") or\n self.has_input(\"addPredictor\")):\n raise ModuleError(self, \"No inputs or CSV file provided\")\n\n output_fname = utils.mknextfile(prefix='PredictorList_', suffix='.csv')\n if (self.has_input(\"csvFileList\") and \n os.path.exists(self.get_input(\"csvFileList\").name)):\n shutil.copy(self.get_input(\"csvFileList\").name, \n output_fname)\n csv_writer = csv.writer(open(output_fname, 'ab'))\n else:\n #create an empty file to start with.\n csv_writer = csv.writer(open(output_fname, 'wb'))\n csv_writer.writerow([\"file\", \"Resampling\", \"Aggregation\"])\n \n if self.has_input(\"addPredictor\"):\n p_list = self.force_get_input_list(\"addPredictor\")\n for p in p_list:\n if p.has_input('resampleMethod'):\n resMethod = p.get_input('resampleMethod')\n else:\n resMethod = \"NearestNeighbor\"\n if p.has_input('aggregationMethod'):\n aggMethod = p.get_input('aggregationMethod')\n else:\n aggMethod = \"Mean\" \n csv_writer.writerow([os.path.normpath(p.name), resMethod, aggMethod])\n\n del csv_writer\n \n output_file = utils.create_file_module(output_fname)\n self.set_output('RastersWithPARCInfoCSV', output_file)", "metadata": "root.PredictorListFile.compute", "header": "['class', 'PredictorListFile', '(', 'Module', ')', ':', '___EOS___']", "index": 323 }, { "content": "class TemplateLayer(Path):\n '''\n Template Layer\n\n The TemplateLayer is a raster data layer with a defined coordinate system, a known cell size,\n and an extent that defines the study area. This raster layer serves as the template for all\n the other inputs in the analysis. All additional raster layers used in the analysis will be\n resampled and reprojected as needed to match the template, snapped to the template, and\n clipped to have an extent that matches the template. Users should ensure that any additional\n layers considered in the analysis have coverage within the extent of the template layer.\n\n The TemplateLayer is a required input for the PARC module.\n\n '''\n# _input_ports = [('FilePath', '(edu.utah.sci.vistrails.basic:File)')]\n _output_ports = [('value', '(gov.usgs.sahm:TemplateLayer:DataInput)'),\n ('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True)]", "metadata": "root.TemplateLayer", "header": "['module', '___EOS___']", "index": 357 }, { "content": "class MergedDataSet(File):\n '''\n This module is a required class for other modules and scripts within the\n SAHM package. It is not intended for direct use or incorporation into\n the VisTrails workflow by the user.\n '''\n _input_ports = expand_ports([('mdsFile', '(edu.utah.sci.vistrails.basic:File)')])\n _output_ports = expand_ports([('value', '(gov.usgs.sahm:MergedDataSet:Other)')])\n \n pass", "metadata": "root.MergedDataSet", "header": "['module', '___EOS___']", "index": 384 }, { "content": "class RastersWithPARCInfoCSV(File):\n '''\n This module is a required class for other modules and scripts within the\n SAHM package. It is not intended for direct use or incorporation into\n the VisTrails workflow by the user.\n '''\n _input_ports = expand_ports([('mdsFile', '(edu.utah.sci.vistrails.basic:File)')])\n _output_ports = expand_ports([('value', '(gov.usgs.sahm:MergedDataSet:Other)')])\n \n pass", "metadata": "root.RastersWithPARCInfoCSV", "header": "['module', '___EOS___']", "index": 395 }, { "content": "class ApplyModel(Module):\n '''\n Apply Model\n\n The ApplyModel module allows the user to apply a model developed using a\n particular package within the workflow and generate output probability and binary\n maps. The process of creating an output probability map and binary map based on\n a particular model can be time-consuming, depending on the input data. By\n existing as a stand-alone process in the workflow, the ApplyModel module allows\n a user to investigate the performance metrics for a particular model (such as\n the ROC curve or the AUC) before dedicating the processing time needed to generate\n the output maps. In most cases, a user will \"fine tune\" a model by exploring the\n performance metrics of different model iterations before applying the model and\n generating the actual maps as a final step.\n \n The ApplyModel module also provides the user with the option of projecting the results\n of a model developed from one set of environmental predictors onto a new modeled space\n containing that same set of environmental predictors but representing data captured at\n a different temporal or spatial location. For example, a user could generate a model\n predicting habitat suitability using recorded presence points and certain environmental\n predictors such as elevation, landcover, and proximity to water in one geographic\n location. Based on the training from this information, the modeled results could be\n generated for (or \"projected to\") a new location based on the range of values seen in\n elevation, landcover, and proximity to water in the second geographic area. Similarly,\n modeling predicted results through time is also possible. A model trained using field\n data and a set of predictor layers representative of one time period could be projected\n onto the same geographical area using a new set of layers corresponding to the same\n predictors but representing data from a different time period (e.g., different climate\n data).\n\n The ApplyModel module accepts two inputs from the user:\n\n 1. Model Workspace: The model workspace field accepts as an input a modeling\n package element (complete with all required parameters) from upstream in the workflow.\n The inputs and specifications provided in the dialogue fields of the model will be applied\n and used to generate the output maps. A user should populate the model workspace field by\n connecting a model element to the appropriate input port of the ApplyModel module in the\n visual display of the model workflow.\n \n 2. Projection Target: The projection target is an optional parameter that allows a user to\n apply a model to a particular geographic area and or set of predictors (other than those\n used to train the model) and create output maps within the spatial extent of the projection\n target layers. This input field should be populated by connecting either the output of the\n ProjectionLayers module or a separate MDSBuilder element to the appropriate input port of\n the ApplyModel module.\n \n '''\n \n _input_ports = [('projectionTarget', '(gov.usgs.sahm:MergedDataSet:Other)'),\n ('modelWorkspace', '(edu.utah.sci.vistrails.basic:File)'),\n ('makeBinMap', '(edu.utah.sci.vistrails.basic:Boolean)'),\n ('makeProbabilityMap', '(edu.utah.sci.vistrails.basic:Boolean)'),]\n _output_ports = [('BinaryMap', '(edu.utah.sci.vistrails.basic:File)'), \n ('ProbabilityMap', '(edu.utah.sci.vistrails.basic:File)')]\n \n \n ", "metadata": "root.ApplyModel", "header": "['module', '___EOS___']", "index": 408 }, { "content": " def compute(self):\n \n workspace = self.force_get_input('modelWorkspace').name\n output_dname = utils.mknextdir(prefix='AppliedModel_')\n if self.has_input('projectionTarget'):\n mdsFile = self.force_get_input('projectionTarget').name\n args = \"ws=\" + '\"' + workspace + '\"' + \" c=\" + '\"' + mdsFile + '\"' + \" o=\" + '\"' + output_dname + '\"'\n else:\n args = \"ws=\" + '\"' + workspace + '\"' + \" o=\" + '\"' + output_dname + '\"'\n \n if self.has_input('makeBinMap'):\n makeBinMap = self.force_get_input('makeBinMap')\n args += ' mbt=' + str(makeBinMap).upper()\n else:\n args += ' mbt=TRUE'\n \n if self.has_input('makeProbabilityMap'):\n makeProbabilityMap = self.force_get_input('makeProbabilityMap')\n args += ' mpt=' + str(makeProbabilityMap).upper()\n else:\n args += ' mpt=TRUE'\n \n \n utils.runRScript('PredictModel.r', args, self)\n \n input_fname = os.path.join(output_dname, \"prob_map.tif\")\n output_fname = os.path.join(output_dname, 'prob_map.jpeg')\n if os.path.exists(input_fname):\n utils.tif_to_color_jpeg(input_fname, output_fname, color_breaks_csv)\n output_file1 = utils.create_file_module(output_fname)\n self.set_output('ProbabilityMap', output_file1)\n else:\n msg = \"Expected output from ApplyModel was not found.\"\n msg += \"\\nThis likely indicates problems with the inputs to the R module.\"\n writetolog(msg, False, True)\n raise ModuleError(self, msg)\n \n if os.path.exists(os.path.join(output_dname, \"bin_map.tif\")):\n outFileName = os.path.join(output_dname, \"bin_map.tif\")\n output_file2 = utils.create_file_module(outFileName)\n self.set_output('BinaryMap', output_file2)", "metadata": "root.ApplyModel.compute", "header": "['class', 'ApplyModel', '(', 'Module', ')', ':', '___EOS___']", "index": 465 }, { "content": "class Model(Module):\n '''\n This module is a required class for other modules and scripts within the\n SAHM package. It is not intended for direct use or incorporation into\n the VisTrails workflow by the user.\n '''\n _input_ports = [('mdsFile', '(gov.usgs.sahm:MergedDataSet:Other)'),\n ('makeBinMap', '(edu.utah.sci.vistrails.basic:Boolean)', {'defaults':str(['True']), 'optional':False}),\n ('makeProbabilityMap', '(edu.utah.sci.vistrails.basic:Boolean)', {'defaults':str(['True']), 'optional':False}),\n ('makeMESMap', '(edu.utah.sci.vistrails.basic:Boolean)', {'defaults':str(['False']), 'optional':False}),\n ('ThresholdOptimizationMethod', '(edu.utah.sci.vistrails.basic:Integer)', {'defaults':str(['2']), 'optional':False})\n ]\n _output_ports = [('modelWorkspace', '(edu.utah.sci.vistrails.basic:File)'), \n ('BinaryMap', '(edu.utah.sci.vistrails.basic:File)'), \n ('ProbabilityMap', '(edu.utah.sci.vistrails.basic:File)'),\n ('AUC_plot', '(edu.utah.sci.vistrails.basic:File)'),\n ('ResponseCurves', '(edu.utah.sci.vistrails.basic:File)'),\n ('Text_Output', '(edu.utah.sci.vistrails.basic:File)')]\n", "metadata": "root.Model", "header": "['module', '___EOS___']", "index": 507 }, { "content": " def compute(self):\n global color_breaks_csv\n \n ModelOutput = {\"FIT_BRT_pluggable.r\":\"brt\",\n \"FIT_GLM_pluggable.r\":\"glm\",\n \"FIT_RF_pluggable.r\":\"rf\",\n \"FIT_MARS_pluggable.r\":\"mars\"}\n ModelAbbrev = ModelOutput[self.name]\n \n output_dname = utils.mknextdir(prefix=ModelAbbrev + 'output_')\n argsDict = utils.map_ports(self, self.port_map)\n mdsFile = self.force_get_input('mdsFile').name\n \n args = ''\n for k, v in argsDict.iteritems():\n if k == 'c':\n args += ' ' + '='.join([str(k),'\"' + str(v) + '\"'])\n else:\n args += ' ' + '='.join([str(k),str(v)])\n args += \" o=\" + '\"' + output_dname + '\"'\n args += \" rc=\" + utils.MDSresponseCol(mdsFile)\n# if self.has_input('makeBinMap'):\n# makeBinMap = self.force_get_input('makeBinMap')\n# args += ' mbt=' + str(makeBinMap).upper()\n# else:\n# makeBinMap = True\n# args += ' mbt=TRUE'\n# \n# if self.has_input('makeProbabilityMap'):\n# makeProbabilityMap = self.force_get_input('makeProbabilityMap')\n# args += ' mpt=' + str(makeProbabilityMap).upper()\n# else:\n# makeProbabilityMap = True\n# args += ' mpt=TRUE' \n# \n# if self.has_input('seed'):\n# args += ' seed=' + str(self.force_get_input('seed'))\n# \n# if self.has_input('someParam'):\n# x = self.force_get_input('someParam')\n# if x > 1:\n# msg = \"Expected output from \" + ModelAbbrev + \" was not found.\"\n# msg += \"\\nThis likely indicates problems with the inputs to the R module.\"\n# writetolog(msg, False, True)\n# args += \" abr=\" + x\n \n utils.runRScript(self.name, args, self)\n# utils.runRScript('FIT_BRT_pluggableErrorMessage.r', args, self)\n \n input_fname = os.path.join(output_dname, ModelAbbrev + \"_prob_map.tif\")\n output_fname = os.path.join(output_dname, ModelAbbrev + \"_prob_map.jpeg\")\n if os.path.exists(input_fname):\n# utils.tif_to_color_jpeg(input_fname, output_fname, color_breaks_csv)\n# output_file4 = utils.create_file_module(output_fname)\n self.set_output('ProbabilityMap', input_fname)\n elif (argsDict.has_key('mpt') and argsDict['mpt'] == True) or \\\n not argsDict.has_key('mpt'):\n msg = \"Expected output from \" + ModelAbbrev + \" was not found.\"\n msg += \"\\nThis might indicate problems with the inputs to the R module.\"\n msg += \"\\nCheck the console output for additional R warnings \"\n writetolog(msg, False, True)\n raise ModuleError(self, msg)\n \n if (argsDict.has_key('mbt') and argsDict['mbt'] == True) or \\\n not argsDict.has_key('mbt'):\n outFileName = os.path.join(output_dname, ModelAbbrev + \"_bin_map.tif\")\n output_file1 = utils.create_file_module(outFileName)\n self.set_output('BinaryMap', output_file1)\n \n outFileName = os.path.join(output_dname, ModelAbbrev + \"_output.txt\")\n output_file2 = utils.create_file_module(outFileName)\n self.set_output('Text_Output', output_file2)\n \n outFileName = os.path.join(output_dname, ModelAbbrev + \"_auc_plot.jpg\")\n# print \"out auc: \", outFileName\n output_file3 = utils.create_file_module(outFileName)\n self.set_output('AUC_plot', output_file3)\n \n outFileName = os.path.join(output_dname, ModelAbbrev + \"_response_curves.pdf\")\n output_file5 = utils.create_file_module(outFileName)\n self.set_output('ResponseCurves', output_file5)\n \n outFileName = os.path.join(output_dname, \"modelWorkspace\")\n# print \"out auc: \", outFileName\n output_file6 = utils.create_file_module(outFileName)\n self.set_output('modelWorkspace', output_file6)\n \n writetolog(\"Finished \" + ModelAbbrev + \" builder\\n\", True, True) ", "metadata": "root.Model.compute", "header": "['class', 'Model', '(', 'Module', ')', ':', '___EOS___']", "index": 526 }, { "content": "class GLM(Model):\n _input_ports = list(Model._input_ports)\n _input_ports.extend([('ModelFamily', '(edu.utah.sci.vistrails.basic:String)', {'defaults':str(['binomial']), 'optional':True}),\n ('SimplificationMethod', '(edu.utah.sci.vistrails.basic:String)', {'defaults':str(['AIC']), 'optional':True}),\n ]) ", "metadata": "root.GLM", "header": "['module', '___EOS___']", "index": 615 }, { "content": " def __init__(self):\n global models_path\n Model.__init__(self) \n self.name = 'FIT_GLM_pluggable.r'\n self.port_map = {'mdsFile':('c', None, True),#These ports are for all Models\n 'makeProbabilityMap':('mpt', utils.R_boolean, False),\n 'makeBinMap':('mbt', utils.R_boolean, False),\n 'makeMESMap':('mes', utils.R_boolean, False),\n 'ThresholdOptimizationMethod':('om', None, False),\n 'ModelFamily':('mf', None, False), #This is a GLM specific port\n 'SimplificationMethod':('sm', None, False) #This is a GLM specific port\n }", "metadata": "root.GLM.__init__", "header": "['class', 'GLM', '(', 'Model', ')', ':', '___EOS___']", "index": 620 }, { "content": "class RandomForest(Model):\n _input_ports = list(Model._input_ports)\n _input_ports.extend([('MTRY', '(edu.utah.sci.vistrails.basic:Integer)', {'defaults':str(['1']), 'optional':True}),\n ]) ", "metadata": "root.RandomForest", "header": "['module', '___EOS___']", "index": 633 }, { "content": " def __init__(self):\n global models_path\n Model.__init__(self)\n self.name = 'FIT_RF_pluggable.r'\n self.port_map = {'mdsFile':('c', None, True),#These ports are for all Models\n 'makeProbabilityMap':('mpt', utils.R_boolean, False),\n 'makeBinMap':('mbt', utils.R_boolean, False),\n 'makeMESMap':('mes', utils.R_boolean, False), \n 'ThresholdOptimizationMethod':('om', None, False),\n 'MTRY': ('mtry', None, False) #This is a Random Forest specific port\n }", "metadata": "root.RandomForest.__init__", "header": "['class', 'RandomForest', '(', 'Model', ')', ':', '___EOS___']", "index": 637 }, { "content": "class MARS(Model):\n _input_ports = list(Model._input_ports)\n _input_ports.extend([('MarsDegree', '(edu.utah.sci.vistrails.basic:Integer)', {'defaults':str(['1']), 'optional':True}),\n ('MarsPenalty', '(edu.utah.sci.vistrails.basic:Integer)', {'defaults':str(['2']), 'optional':True}),\n ])", "metadata": "root.MARS", "header": "['module', '___EOS___']", "index": 649 }, { "content": " def __init__(self):\n global models_path \n Model.__init__(self)\n self.name = 'FIT_MARS_pluggable.r'\n self.port_map = {'mdsFile':('c', None, True),#These ports are for all Models\n 'makeProbabilityMap':('mpt', utils.R_boolean, False),\n 'makeBinMap':('mbt', utils.R_boolean, False),\n 'makeMESMap':('mes', utils.R_boolean, False), \n 'ThresholdOptimizationMethod':('om', None, False),\n 'MarsDegree':('deg', None, False), #This is a MARS specific port\n 'MarsPenalty':('pen', None, False), #This is a MARS specific port\n }", "metadata": "root.MARS.__init__", "header": "['class', 'MARS', '(', 'Model', ')', ':', '___EOS___']", "index": 654 }, { "content": "class BoostedRegressionTree(Model):\n _input_ports = list(Model._input_ports)\n _input_ports.extend([('Seed', '(edu.utah.sci.vistrails.basic:Integer)', True),\n ('TreeComplexity', '(edu.utah.sci.vistrails.basic:Integer)', True),\n ('NumberOfTrees', '(edu.utah.sci.vistrails.basic:Integer)', {'defaults':str(['10000']), 'optional':True}),\n ('BagFraction', '(edu.utah.sci.vistrails.basic:Float)', {'defaults':str(['0.5']), 'optional':True}),\n ('NumberOfFolds', '(edu.utah.sci.vistrails.basic:Integer)', {'defaults':str(['3']), 'optional':True}),\n ('Alpha', '(edu.utah.sci.vistrails.basic:Float)', {'defaults':str(['1']), 'optional':True}),\n ('PrevalenceStratify', '(edu.utah.sci.vistrails.basic:Boolean)', {'defaults':str(['True']), 'optional':True}),\n ('ToleranceMethod', '(edu.utah.sci.vistrails.basic:String)', {'defaults':str(['auto']), 'optional':True}),\n ('Tolerance', '(edu.utah.sci.vistrails.basic:Float)', {'defaults':str(['0.001']), 'optional':True})\n ])", "metadata": "root.BoostedRegressionTree", "header": "['module', '___EOS___']", "index": 667 }, { "content": " def __init__(self):\n global models_path\n Model.__init__(self)\n self.name = 'FIT_BRT_pluggable.r'\n self.port_map = {'mdsFile':('c', None, True),#These ports are for all Models\n 'makeProbabilityMap':('mpt', utils.R_boolean, False),\n 'makeBinMap':('mbt', utils.R_boolean, False),\n 'makeMESMap':('mes', utils.R_boolean, False), \n 'ThresholdOptimizationMethod':('om', None, False),\n 'Seed':('seed', None, False), #This is a BRT specific port\n 'TreeComplexity':('tc', None, False), #This is a BRT specific port\n 'NumberOfTrees':('nf', None, False), #This is a BRT specific port\n 'BagFraction':('bf', None, False), #This is a BRT specific port\n 'NumberOfFolds':('nf', None, False), #This is a BRT specific port\n 'Alpha':('alp', None, False), #This is a BRT specific port\n 'PrevalenceStratify':('ps', None, False), #This is a BRT specific port\n 'ToleranceMethod':('tolm', None, False), #This is a BRT specific port\n 'Tolerance':('tol', None, False) #This is a BRT specific port\n }", "metadata": "root.BoostedRegressionTree.__init__", "header": "['class', 'BoostedRegressionTree', '(', 'Model', ')', ':', '___EOS___']", "index": 679 }, { "content": "class MDSBuilder(Module):\n '''\n MDS Builder\n\n The Merged Data Set (MDS) Builder module is a utility that extracts the values of each predictor\n layer to the point locations included in the field data set. The module produces a .csv file that\n contains the x and y locations of the sample points and a column indicating whether each point\n represents a presence recording, an absence recording, a presence count, or a background point.\n Following these first three columns, each environmental predictor layer is appended as a column\n with row entries representing the value present in the raster layer at each field sample point.\n There are a total of three header rows in the output .csv of the MDSBuilder. The first row contains\n the columns \"x,\" \"y,\" \"ResponseBinary\" or \"ResponseCount,\" and the names of each of the raster\n predictor files that were passed to the MDS Builder. The second row contains a binary value\n indicating whether the column should be included when the model is finally applied; these values\n are later modified during the Covariate Correlation and Selection process that takes place downstream\n in the workflow. The final header row contains the full path on the file system to each of the raster\n predictor files.\n\n The MDSBuilder accepts four inputs from the user:\n\n 1. Rasters with PARC Info .csv File: The raster layers listed in this file will have their values\n extracted to the points in the field data .csv file. This parameter should be supplied by connecting\n the output of a PARC module within the workflow to the MDSBuilder module. (In order to properly\n extract the values of each predictor layer to the field data points, all the layers must have matching\n coordinate systems and cell sizes; outputs from the PARC module will have had the prerequisite processing).\n \n 2. Background Point Count: This is an optional value that applies only to workflows that employ the\n Maxent modeling package. The dialogue box provides the option of specifying a number of background points\n to be randomly scattered throughout the study area (the extent of the template layer) to capture a more\n complete sample of the range of values present for each predictor layer. These points will be added to\n the field data .csv file with a value of \"-999\" denoting them as background points.\n \n 3. Background Probability Surface: This is an optional parameter that applies only to workflows that\n employ the Maxent modeling package. In some analyses, it may be appropriate to spatially limit background\n points to a particular subset of the study area (e.g., islands within a study area polygon, particular\n regions within a study area polygon, or a region determined by the known bias present in the field data).\n Specifying a background probability surface raster allows a user to control where random points will be\n scattered within the extent of the study area. The raster layer specified by a user should have the same\n projection and extent as the template layer and contain values ranging from 0 to 100. These values represent\n the probability that a randomly generated point will be retained should it fall within a particular cell.\n That is, randomly generated points will not be generated in any part of the probability grid with a value\n of \"0\" while all points falling in an area with a value of \"100\" will be retained. A point falling in an\n area with a value of \"50\" will be kept as a background point 50% of the time.\n \n 4. Field Data: The field data input corresponds to a .csv file containing presence/absence points or count\n data recorded across a landscape for the phenomenon being modeled (e.g., plant sightings, evidence of\n animal presence, etc.). This input file must be in a particular format, and in most cases, a user should\n populate this field by connecting a FieldData element to the MDSBuilder in the visual display within VisTrails.\n Please see the documention for the FieldData module for more details.\n\n '''\n\n# _input_ports = expand_ports([('RastersWithPARCInfoCSV', '(gov.usgs.sahm:RastersWithPARCInfoCSV:Other)'),\n# ('fieldData', '(gov.usgs.sahm:FieldData:DataInput)'),\n# ('backgroundPointCount', '(edu.utah.sci.vistrails.basic:Integer)'),\n# ('backgroundProbSurf', '(edu.utah.sci.vistrails.basic:File)')]\n# )\n# _input_ports = expand_ports([('RastersWithPARCInfoCSV', '(edu.utah.sci.vistrails.persistence:PersistentFile)'),\n# ('fieldData', '(gov.usgs.sahm:FieldData:DataInput)'),\n# ('backgroundPointCount', '(edu.utah.sci.vistrails.basic:Integer)'),\n# ('backgroundProbSurf', '(edu.utah.sci.vistrails.basic:File)')]\n# )\n _input_ports = expand_ports([('RastersWithPARCInfoCSV', '(edu.utah.sci.vistrails.basic:File)'),\n ('fieldData', '(gov.usgs.sahm:FieldData:DataInput)'),\n ('backgroundPointCount', '(edu.utah.sci.vistrails.basic:Integer)'),\n ('backgroundProbSurf', '(edu.utah.sci.vistrails.basic:File)')]\n )\n \n _output_ports = expand_ports([('mdsFile', '(gov.usgs.sahm:MergedDataSet:Other)')])\n", "metadata": "root.MDSBuilder", "header": "['module', '___EOS___']", "index": 699 }, { "content": " def compute(self):\n port_map = {'fieldData': ('fieldData', None, True),\n 'backgroundPointCount': ('pointcount', None, False),\n 'backgroundProbSurf': ('probsurf', None, False),}\n \n MDSParams = utils.map_ports(self, port_map) \n MDSParams['outputMDS'] = utils.mknextfile(prefix='MergedDataset_', suffix='.csv')\n \n #allow multiple CSV of inputs to be provided. \n #if more than one then combine into a single CSV before sending to MDSBuilder\n inputs_csvs = self.force_get_input_list('RastersWithPARCInfoCSV')\n if len(inputs_csvs) == 0:\n raise ModuleError(self, \"Must supply at least one 'RastersWithPARCInfoCSV'/nThis is the output from the PARC module\")\n if len(inputs_csvs) > 1:\n inputs_csv = utils.mknextfile(prefix='CombinedPARCFiles_', suffix='.csv')\n inputs_names = [f.name for f in inputs_csvs]\n utils.merge_inputs_csvs(inputs_names, inputs_csv)\n else:\n inputs_csv = inputs_csvs[0].name\n MDSParams['inputsCSV'] = inputs_csv\n \n #inputsCSV = utils.path_port(self, 'RastersWithPARCInfoCSV')\n \n ourMDSBuilder = MDSB.MDSBuilder()\n utils.PySAHM_instance_params(ourMDSBuilder, MDSParams)\n\n writetolog(\" inputsCSV=\" + ourMDSBuilder.inputsCSV, False, False)\n writetolog(\" fieldData=\" + ourMDSBuilder.fieldData, False, False)\n writetolog(\" outputMDS=\" + ourMDSBuilder.outputMDS, False, False)\n \n try:\n ourMDSBuilder.run()\n except TrappedError as e:\n raise ModuleError(self, e.message)\n except:\n utils.informative_untrapped_error(self, \"MDSBuilder\")\n\n output_file = utils.create_file_module(ourMDSBuilder.outputMDS)\n \n self.set_output('mdsFile', output_file)", "metadata": "root.MDSBuilder.compute", "header": "['class', 'MDSBuilder', '(', 'Module', ')', ':', '___EOS___']", "index": 769 }, { "content": "class FieldDataAggregateAndWeight(Module):\n '''\n Documentation to be updated when module finalized.\n '''\n _input_ports = expand_ports([('templateLayer', '(gov.usgs.sahm:TemplateLayer:DataInput)'),\n ('fieldData', '(gov.usgs.sahm:FieldData:DataInput)'),\n ('aggregateRows', 'basic:Boolean'),\n ('aggregateRowsByYear', 'basic:Boolean')])\n _output_ports = expand_ports([('fieldData', '(gov.usgs.sahm:FieldData:DataInput)')])\n ", "metadata": "root.FieldDataAggregateAndWeight", "header": "['module', '___EOS___']", "index": 810 }, { "content": " def compute(self):\n writetolog(\"\\nRunning FieldDataQuery\", True)\n port_map = {'templateLayer': ('template', None, True),\n 'fieldData': ('csv', None, True),\n 'aggregateRowsByYear': ('aggRows', None, False),\n 'addKDE': ('addKDE', None, False),}\n \n KDEParams = utils.map_ports(self, port_map)\n output_fname = utils.mknextfile(prefix='FDQ_', suffix='.csv')\n writetolog(\" output_fname=\" + output_fname, True, False)\n KDEParams['output'] = output_fname\n \n output_fname = utils.mknextfile(prefix='FDQ_', suffix='.csv')\n writetolog(\" output_fname=\" + output_fname, True, False)\n \n ourFDQ = FDQ.FieldDataQuery()\n utils.PySAHM_instance_params(ourFDQ, KDEParams)\n \n ourFDQ.processCSV()\n \n output_file = utils.create_file_module(output_fname)\n writetolog(\"Finished running FieldDataQuery\", True)\n self.set_output('fieldData', output_file)", "metadata": "root.FieldDataAggregateAndWeight.compute", "header": "['class', 'FieldDataAggregateAndWeight', '(', 'Module', ')', ':', '___EOS___']", "index": 820 }, { "content": "class PARC(Module):\n '''\n PARC\n\n The Projection, Aggregation, Resampling, and Clipping (PARC) module is a powerful\n utility that automates the preparation steps required for using raster layers in\n most geospatial modeling packages. In order to successfully consider multiple\n environmental predictors in raster format, each layer must have coincident cells\n (pixels) of the same size, have the same coordinate system (and projection, if\n applicable), and the same geographic extent. The PARC module ensures that all of\n these conditions are met for the input layers by transforming and or reprojecting\n each raster to match the coordinate system of the template layer. This process\n usually involves aggregation (necessary when an input raster layer must be up-scaled\n to match the template layer-- e.g., generalizing a 10 m input layer to a 100 m output\n layer), and or resampling (necessary for interpolating new cell values when transforming\n the raster layer to the coordinate space or cell size of the template layer). Lastly,\n each raster predictor layer is clipped to match the extent of the template layer.\n\n The settings used during these processing steps follow a particular set of decision rules\n designed to preserve the integrity of data as much as possible. However, it is important\n for a user to understand how these processing steps may modify the data inputs. For\n additional information about the PARC module, please see the extended help and\n documentation for the SAHM package. \n\n The PARC module accepts four kinds of inputs: \n\n 1. Predictor List: A user should not have to populate this field. This field is populated\n when a selection is made from the pre-loaded .csv file of raster predictor layer inputs\n (specified during the SAHM install) and connected to the PARC module in the visual display. \n \n 2. .csv File List: The .csv file list corresponds to the Predictor List File element and\n allows a user to load a .csv file containing a list of rasters for consideration in the\n modeled analysis. For additional information, please see the documentation for the Predictor\n List File element.\n \n 3. Predictor: The predictor input allows a user to select a single raster predictor layer\n to be considered in the analysis. It is recommended that a user add this input as a separate\n element in the visual display (and then link it to the PARC module) so that the aggregation\n and resampling settings can be established. The PARC module can accept multiple predictor\n elements. For additional information, please see the documentation for the Predictor element.\n \n 4. Template Layer: The template layer is a raster data layer with a defined coordinate system,\n a known cell size, and an extent that defines the study area. This raster layer serves as the\n template for all the other inputs in the analysis. All additional raster layers used in the\n analysis will be resampled and reprojected as needed to match the template, snapped to the\n template, and clipped to have an extent that matches the template. Users should ensure that\n any additional layers considered in the analysis have coverage within the extent of the\n template layer. The template layer is a required input for the PARC module.\n\n '''\n\n #configuration = []\n _input_ports = [('predictor', \"(gov.usgs.sahm:Predictor:DataInput)\"),\n ('PredictorList', '(gov.usgs.sahm:PredictorList:Other)'),\n ('RastersWithPARCInfoCSV', '(gov.usgs.sahm:RastersWithPARCInfoCSV:Other)'),\n ('templateLayer', '(gov.usgs.sahm:TemplateLayer:DataInput)'),\n ('multipleCores', '(edu.utah.sci.vistrails.basic:Boolean)', {'defaults':str(['True']), 'optional':True})]\n\n# _output_ports = [('RastersWithPARCInfoCSV', '(gov.usgs.sahm:RastersWithPARCInfoCSV:Other)')]\n# _output_ports = [('RastersWithPARCInfoCSV', '(edu.utah.sci.vistrails.persistence:PersistentFile)')]\n _output_ports = [('RastersWithPARCInfoCSV', '(edu.utah.sci.vistrails.basic:File)')]\n ", "metadata": "root.PARC", "header": "['module', '___EOS___']", "index": 844 }, { "content": " def compute(self):\n #writetolog(\"\\nRunning PARC\", True)\n \n ourPARC = parc.PARC()\n output_dname = utils.mknextdir(prefix='PARC_')\n \n if configuration.verbose:\n ourPARC.verbose = True\n ourPARC.logger = utils.getLogger()\n \n ourPARC.out_dir = output_dname\n\n if self.has_input(\"multipleCores\"):\n if self.get_input(\"multipleCores\"):\n ourPARC.multicores = \"True\"\n\n workingCSV = utils.mknextfile(prefix='tmpFilesToPARC_', suffix='.csv')\n outputCSV = utils.mknextfile(prefix='PARCOutput_', suffix='.csv')\n\n #append additional inputs to the existing CSV if one was supplied\n #otherwise start a new CSV\n if self.has_input(\"RastersWithPARCInfoCSV\"):\n inputCSV = self.force_get_input(\"RastersWithPARCInfoCSV\").name\n shutil.copy(inputCSV, workingCSV)\n f = open(workingCSV, \"ab\")\n csvWriter = csv.writer(f)\n else:\n f = open(workingCSV, \"wb\")\n csvWriter = csv.writer(f)\n csvWriter.writerow([\"FilePath\", \"Categorical\", \"Resampling\", \"Aggregation\"])\n \n if self.has_input(\"PredictorList\"):\n predictor_lists = self.force_get_input_list('PredictorList')\n for predictor_list in predictor_lists:\n for predictor in predictor_list:\n csvWriter.writerow(list(predictor))\n \n if self.has_input(\"predictor\"):\n predictor_list = self.force_get_input_list('predictor')\n for predictor in predictor_list:\n csvWriter.writerow(list(predictor))\n f.close()\n del csvWriter\n ourPARC.inputs_CSV = workingCSV\n ourPARC.template = self.force_get_input('templateLayer').name\n writetolog(' template layer = ' + self.force_get_input('templateLayer').name)\n writetolog(\" output_dname=\" + output_dname, False, False)\n writetolog(\" workingCSV=\" + workingCSV, False, False)\n try:\n ourPARC.parcFiles()\n except TrappedError as e:\n writetolog(e.message)\n raise ModuleError(self, e.message)\n except:\n utils.informative_untrapped_error(self, \"PARC\") \n \n #delete our temp working file\n os.remove(workingCSV)\n \n predictorsDir = utils.create_dir_module(output_dname)\n outputCSV = os.path.join(output_dname, \"PARC_Files.csv\")\n output_file = utils.create_file_module(outputCSV)\n \n \n writetolog(\"Finished running PARC\", True)\n self.set_output('RastersWithPARCInfoCSV', output_file)", "metadata": "root.PARC.compute", "header": "['class', 'PARC', '(', 'Module', ')', ':', '___EOS___']", "index": 906 }, { "content": "class RasterFormatConverter(Module):\n '''\n Raster Format Converter\n\n The RasterFormatConverter module allows a user to easily convert .tif raster layers\n into a different raster format for use and display in other software packages. The\n module accepts as an input either a list of rasters in a Merged Dataset File (MDS)\n or the location of a directory containing multiple raster files. All outputs will be\n sent to a folder named \"ConvertedRasters\" (followed by an underscore and a number\n corresponding to the run sequence of the module) within the user's current VisTrail\n session folder.\n\n Three parameters can be specified by the user:\n\n 1. Format: The format corresponds to the desired raster output format. The following\n output file formats are supported: Arc/Info ASCII Grid, ESRI BIL, ERDAS Imagine, and JPEG.\n \n To specify the desired output, users should enter the values shown below.\n For an ASCII (.asc) output, enter: \"asc\"\n For an ESRI BIL output, enter: \"bil\"\n For an Erdas Imagine (.img) output, enter: \"img\"\n For a JPEG (.jpg) output, enter: \"jpg\"\n \n If no value is entered by the user, the module will default to an ASCII (.asc) output\n format.\n\n 2. Input Directory: The input directory allows a user to point to an entire folder as\n an input to the RasterFormatConverter. The contents of the specified folder will be\n checked for raster files and all the raster files contained within the directory will\n be converted to the format specified in the \"Format\" dialogue box. The module will\n identify and convert files of the following raster types: .bil, .img, .tif, .jpg, and .asc. \n\n 3. Input Merged Dataset (MDS): The input merged dataset allows a user to specify a .csv\n file created in the VisTrails workflow (containing a list of .tif raster files) as an\n input to the raster converter. All of the files listed in the MDS will be converted to\n the raster format specified in the \"Format\" dialogue box.\n\n '''\n\n #configuration = []\n _input_ports = [(\"inputMDS\", \"(gov.usgs.sahm:MergedDataSet:Other)\"),\n ('inputDir', '(edu.utah.sci.vistrails.basic:Directory)'),\n ('format', '(edu.utah.sci.vistrails.basic:String)'),\n ('multipleCores', '(edu.utah.sci.vistrails.basic:Boolean)', {'defaults':str(['True']), 'optional':True})]\n\n _output_ports = [('outputDir', '(edu.utah.sci.vistrails.basic:Directory)')]\n", "metadata": "root.RasterFormatConverter", "header": "['module', '___EOS___']", "index": 974 }, { "content": " def compute(self):\n writetolog(\"\\nRunning TiffConverter\", True)\n ourRFC = RFC.FormatConverter()\n if self.has_input('inputMDS'):\n ourRFC.MDSFile = self.force_get_input('inputMDS').name\n elif self.has_input('inputDir'):\n ourRFC.inputDir = self.force_get_input('inputDir').name\n \n if self.has_input('format'):\n format = self.force_get_input('format')\n if format == '':\n format = 'asc'\n ourRFC.format = format\n \n if self.has_input(\"multipleCores\"):\n if self.get_input(\"multipleCores\"):\n ourRFC.multicores = \"True\"\n \n ourRFC.outputDir = utils.mknextdir(prefix='ConvertedRasters_')\n if configuration.verbose:\n ourRFC.verbose = True\n ourRFC.logger = utils.getLogger()\n writetolog(\" output directory = \" + ourRFC.outputDir, False, False)\n \n try:\n ourRFC.run()\n except TrappedError as e:\n raise ModuleError(self, e.message)\n except:\n utils.informative_untrapped_error(self, \"RasterFormatConverter\") \n \n \n outputDir = utils.create_dir_module(ourRFC.outputDir)\n self.set_output('outputDir', outputDir)\n writetolog(\"\\nFinished running TiffConverter\", True)", "metadata": "root.RasterFormatConverter.compute", "header": "['class', 'RasterFormatConverter', '(', 'Module', ')', ':', '___EOS___']", "index": 1021 }, { "content": "class TestTrainingSplit(Module):\n '''\n Test Training Split\n\n The TestTrainingSplit module provides the opportunity to establish specific settings\n for how field data will be used in the modeling process. Three parameters can be set\n by the user:\n\n 1. Ratio of Presence/Absence Points:\n This field is populated with a number corresponding to the desired proportion of\n presence and absence points to be used in the analysis. If populated, this entry should\n be a number greater than zero. (A value of '1' will result in an equal number of both\n presence and absence points being used, a value of '2' indicates that twice as many\n presence points will be used, a value of 0.5 indicates that twice as many absence points\n will be used, etc.). All field data points with a value equal to or greater than 1 are\n interpreted as presence points. Although the original field data is unmodified, this\n option will reduce the sample size as the merged dataset containing sample points will\n have points deleted from it to achieve the specified ratio. A warning will be generated\n if more than 50% of either the presence or absence points will be deleted based on the\n ratio specified by the user. Background points are ignored by this module (they are read\n in and written out, but not assigned to either the test or training split).\n\n When left empty, this field will default to 'null' and the model will use the existing\n presence/absence ratio present in the field data.\n\n 2. Input Merged Data Set (MDS): \n This is the input data set consisting of locational data for each sample point, the\n values of each predictor variable at those points, and if established, a field denoting\n the weight that will be assigned to each point in modeling. This input is usually provided\n by the upstream steps that precede the Test Training Split module. Any value entered here\n (e.g., specifying another existing MDS on the file system) will override the input\n specified by a model connection in the visual display.\n\n 3. Training Proportion:\n This is the proportion of the sample points that will be used to train the model, relative\n to the total number of points. Entered values should be greater than 0 but less than 1.\n For example, a value of '0.9' will result in 90% of the sample points being used to train\n the model, with 10% of the sample being held out to test the model's performance. Choosing\n an appropriate training proportion can depend on various factors, such as the total number\n of sample points available.\n\n '''\n\n _input_ports = [(\"inputMDS\", \"(gov.usgs.sahm:MergedDataSet:Other)\"),\n ('trainingProportion', '(edu.utah.sci.vistrails.basic:Float)', \n {'defaults':str(['0.7'])}),\n ('RatioPresAbs', '(edu.utah.sci.vistrails.basic:Float)')]\n _output_ports = [(\"outputMDS\", \"(gov.usgs.sahm:MergedDataSet:Other)\")]\n ", "metadata": "root.TestTrainingSplit", "header": "['module', '___EOS___']", "index": 1057 }, { "content": " def compute(self):\n if self.has_input('trainingProportion'):\n print 'real input'\n writetolog(\"\\nGenerating Test Training split \", True)\n inputMDS = utils.dir_path_value(self.force_get_input('inputMDS', []))\n outputMDS = utils.mknextfile(prefix='TestTrainingSplit_', suffix='.csv')\n\n global models_path\n \n args = \"i=\" + '\"' + inputMDS + '\"' + \" o=\" + '\"' + outputMDS + '\"'\n args += \" rc=\" + utils.MDSresponseCol(inputMDS) \n if (self.has_input(\"trainingProportion\")):\n try:\n trainingProportion = float(self.get_input(\"trainingProportion\"))\n if trainingProportion <= 0 or trainingProportion > 1:\n raise ModuleError(self, \"Train Proportion (trainProp) must be a number between 0 and 1 excluding 0\")\n args += \" p=\" + str(trainingProportion)\n except:\n raise ModuleError(self, \"Train Proportion (trainProp) must be a number between 0 and 1 excluding 0\")\n if (self.has_input(\"RatioPresAbs\")):\n try:\n RatioPresAbs = float(self.get_input(\"RatioPresAbs\"))\n if RatioPresAbs <= 0:\n raise ModuleError(self, \"The ratio of presence to absence (RatioPresAbs) must be a number greater than 0\") \n args += \" m=\" + str(trainingProportion) \n except:\n raise ModuleError(self, \"The ratio of presence to absence (RatioPresAbs) must be a number greater than 0\") \n \n utils.runRScript(\"TestTrainSplit.r\", args, self)\n\n output = os.path.join(outputMDS)\n if os.path.exists(output):\n output_file = utils.create_file_module(output)\n writetolog(\"Finished Test Training split \", True)\n else:\n msg = \"Problem encountered generating Test Training split. Expected output file not found.\"\n writetolog(msg, False)\n raise ModuleError(self, msg)\n self.set_output(\"outputMDS\", output_file)", "metadata": "root.TestTrainingSplit.compute", "header": "['class', 'TestTrainingSplit', '(', 'Module', ')', ':', '___EOS___']", "index": 1106 }, { "content": "class CovariateCorrelationAndSelection(Module):\n '''\n Covariate Correlation And Selection\n\n The CovariateCorrelationAndSelection view provides a breakpoint in the modeling workflow\n for the user to assess how well each variable explains the distribution of the sampled\n data points and to remove any variables that may exhibit high correlation with others. \n\n The display shows the 10 most correlated variables of those selected. These variables\n are displayed on the diagonal and their respective graphical display and correlation with\n other variables can be found by locating the row/column intersection between each (above\n and below the diagonal). The column heading over each variable displays the number of\n other variables with which the environmental predictor is correlated. The user defined\n \"Threshold\" option allows a user to specify the degree of correlation required between\n two variables for them to be counted in this tally.\n\n A user is provided with the opportunity to select a new set of the environmental predictor\n variables and \"Update\" the Covariate Correlation screen to investigate the relationships\n among the new variables selected. The options are provided to include or exclude the\n presence/count points, the absence points (when applicable), and the background points in\n this correlation test. Variables with a high degree of correlation with other variables\n should generally be unchecked in their respective radio buttons, and will be excluded from\n subsequent analysis steps in the model workflow.\n\n Multiple iterations can be run at this screen, allowing the user to investigate the\n relationships among the environmental predictor variables and choose the most appropriate\n set to be used in the subsequent modeling. When the desired set of variables has been chosen,\n the \"OK\" button is selected and processing will resume in the VisTrails workflow.\n\n '''\n kwargs = {}\n kwargs['defaults'] = str(['initial'])\n _input_ports = [(\"inputMDS\", \"(gov.usgs.sahm:MergedDataSet:Other)\"),\n ('selectionName', '(edu.utah.sci.vistrails.basic:String)', kwargs),\n ('ShowGUI', '(edu.utah.sci.vistrails.basic:Boolean)')]\n _output_ports = [(\"outputMDS\", \"(gov.usgs.sahm:MergedDataSet:Other)\")]\n\n", "metadata": "root.CovariateCorrelationAndSelection", "header": "['module', '___EOS___']", "index": 1146 }, { "content": " def compute(self):\n writetolog(\"\\nOpening Select Predictors Layers widget\", True)\n inputMDS = utils.dir_path_value(self.force_get_input('inputMDS'))\n selectionName = self.force_get_input('selectionName', 'initial')\n# outputMDS = utils.mknextfile(prefix='SelectPredictorsLayers_' + selectionName + \"_\", suffix='.csv')\n# displayJPEG = utils.mknextfile(prefix='PredictorCorrelation_' + selectionName + \"_\", suffix='.jpg')\n global session_dir\n outputMDS = os.path.join(session_dir, \"CovariateCorrelationOutputMDS_\" + selectionName + \".csv\")\n displayJPEG = os.path.join(session_dir, \"CovariateCorrelationDisplay.jpg\")\n writetolog(\" inputMDS = \" + inputMDS, False, False)\n writetolog(\" displayJPEG = \" + displayJPEG, False, False)\n writetolog(\" outputMDS = \" + outputMDS, False, False)\n \n if os.path.exists(outputMDS):\n utils.applyMDS_selection(outputMDS, inputMDS)\n os.remove(outputMDS)\n \n self.callDisplayMDS(inputMDS, outputMDS, displayJPEG)\n\n output_file = utils.create_file_module(outputMDS)\n writetolog(\"Finished Select Predictors Layers widget\", True)\n self.set_output(\"outputMDS\", output_file)", "metadata": "root.CovariateCorrelationAndSelection.compute", "header": "['class', 'CovariateCorrelationAndSelection', '(', 'Module', ')', ':', '___EOS___']", "index": 1183 }, { "content": " def callDisplayMDS(self, inputMDS, outputMDS, displayJPEG):\n dialog = SelectListDialog(inputMDS, outputMDS, displayJPEG, configuration.r_path)\n #dialog.setWindowFlags(QtCore.Qt.WindowMaximizeButtonHint)\n# print \" ... finished with dialog \" \n retVal = dialog.exec_()\n #outputPredictorList = dialog.outputList\n if retVal == 1:\n raise ModuleError(self, \"Cancel or Close selected (not OK) workflow halted.\")", "metadata": "root.CovariateCorrelationAndSelection.callDisplayMDS", "header": "['class', 'CovariateCorrelationAndSelection', '(', 'Module', ')', ':', '___EOS___']", "index": 1206 }, { "content": "class ProjectionLayers(Module):\n '''\n Projection Layers\n\n Note: as of June 2011, this module offers some functionality that is only available\n to users running the SAHM package within the USGS Fort Collins Science Center (FORT).\n\n The ProjectionLayers module provides the option to prepare a separate set of predictor\n layers so that the results of a model developed from one set of environmental predictors\n can be projected onto a new modeled space. This second set of environmental predictors\n (corresponding to the \"projection target\") most often contains the same environmental\n predictors but represents data captured at a different temporal or spatial location. For\n example, a user could generate a model predicting habitat suitability using recorded\n presence points and certain environmental predictors such as elevation, landcover, and\n proximity to water in one geographic location. Based on the training from this information,\n the modeled results could be generated for (or \"projected to\") a new location based on the\n range of values seen in elevation, landcover, and proximity to water in the second geographic\n area. Similarly, modeling predicted results through time is also possible. A model trained\n using field data and a set of predictor layers representative of one time period could be\n projected onto the same geographical area using a new set of predictor layers corresponding\n to the same predictors but representing data from a different time period (e.g., different\n climate data). \n\n The output of this module is subsequently used as the projection target in the ApplyModel module.\n\n (As part of the process of preparing the layers for modeling, the ProjectionLayers module runs\n the PARC module internally on the inputs. Outputs from the ProjectionLayers module will possess\n matching coordinate systems, cell sizes, and extents and do not need to be run through PARC\n before being used downstream in the workflow.)\n\n Six parameters can be set by the user:\n\n 1. Directory Crosswalk CSV: This is a .csv file containing two columns designating\n the layers that should be swapped out in the projected model. The first column\n contains a list of the full paths to the predictor layers used to develop the original\n model that will be replaced in the projection process. The second column contains the\n full paths to the new predictor layers that will substitute the respective layers used\n in the original model. Each original layer in the first column should be paired with\n its replacement in the second column (e.g., Column 1 = C:\\ModelLayers\\Precipitation1980.tif,\n Column 2 = C:\\ModelLayers\\Precipitation2000.tif). In the case of any file used to develop\n the first model that is not expressly listed in the Directory Crosswalk CSV with a\n replacement, the original file will be used in the new model projection. The module\n anticipates a header row in this .csv file (thus, the first row of data will be ignored).\n \n 2. File List CSV: This is a .csv file containing the list of predictor files used to\n develop the first model. Effectively, this file will be updated based on the information\n provided in the directory crosswalk .csv and used as the input to the training process\n for the projected model. The output of the PARC module from the first model iteration\n should be used as the input to this parameter.\n \n 3. Model (available only to users at the FORT): This parameter allows VisTrail users\n running the SAHM package on site at the USGS Science Center in Fort Collins (FORT) to\n specify one of three models to use for the projected model run (\"CCCMA,\" \"CSIRO,\"\n or \"hadcm3\").\n \n 4. Scenario (available only to users at the FORT): This parameter allows VisTrail\n users running the SAHM package on site at the USGS Science Center in Fort Collins \n FORT) to specify one of two scenarios for the projected model run (\"A2a\" or \"B2b\"). \n \n 5. Template: This parameter allows a user to specify the new template layer to be used\n in the projected model run. The template layer is a raster data layer with a defined\n coordinate system, a known cell size, and an extent that defines the (new) study area.\n This raster layer serves as the template for all the other inputs in the analysis. All\n additional raster layers used in the analysis will be resampled and reprojected as\n needed to match the template, snapped to the template, and clipped to have an extent\n that matches the template. Users should ensure that all the layers used for the projected\n analysis have coverage within the extent of the template layer.\n \n 6. Year (available only to users at the FORT): This parameter allows VisTrail users\n running the SAHM package on site at the USGS Science Center in Fort Collins (FORT)\n to specify one of three years to use for the projected model run (\"2020,\" \"2050,\" or \"2080\").\n\n '''\n _input_ports = [('RastersWithPARCInfoCSV', '(gov.usgs.sahm:RastersWithPARCInfoCSV:Other)'),\n ('templateLayer', '(gov.usgs.sahm:TemplateLayer:DataInput)'),\n ('model', '(edu.utah.sci.vistrails.basic:String)'),\n ('scenario', '(edu.utah.sci.vistrails.basic:String)'),\n ('year', '(edu.utah.sci.vistrails.basic:String)'),\n ('directoryCrosswalkCSV', '(edu.utah.sci.vistrails.basic:File)')\n ]\n _output_ports = [(\"MDS\", \"(gov.usgs.sahm:MergedDataSet:Other)\")]\n", "metadata": "root.ProjectionLayers", "header": "['module', '___EOS___']", "index": 1216 }, { "content": " def compute(self):\n models = ['CCCMA', 'CSIRO', 'hadcm3']\n scenarioss = ['A2a', 'B2b']\n years = ['2020', '2050', '2080']\n \n writetolog(\"\\nRunning make Projection Layers\", True)\n \n inputCSV = self.force_get_input('RastersWithPARCInfoCSV').name\n \n if self.has_input('templateLayer'):\n template = self.force_get_input('templateLayer').name\n else:\n template = '' #we'll get a template below\n \n fromto = []\n climargs = {}\n \n for input in ['model', 'scenario', 'year']:\n if self.has_input(input):\n climargs[input] = self.force_get_input(input)\n if climargs <> {} and climargs.keys() <> ['model', 'scenario', 'year']:\n #they did not add in one of each, Not going to fly\n raise ModuleError(self, \"All of model, scenario, and year must be supplied if any are used.\")\n elif climargs <> {} and climargs.keys <> ['model', 'scenario', 'year']:\n #they specified a alt climate scenario add this to our list to search for\n fromto.append([r'K:\\GIS_LIBRARY\\Climate\\WorldClim\\BioclimaticVariables\\bio_30s_esri\\bio',\n os.path.join('I:\\WorldClim_Future_Climate\\RenamedBILs', \n climargs['model'], climargs['scenario'], climargs['year'])])\n \n if self.has_input('directoryCrosswalkCSV'):\n crosswalkCSV = csv.reader(open(self.force_get_input('directoryCrosswalkCSV'), 'r'))\n header = crosswalkCSV\n for row in crosswalkCSV:\n fromto.append(row[0], row[1])\n del crosswalkCSV \n \n #write out the outputs to an empty MDS file (just the header is needed to PARC the outputs)\n \n \n inCSV = csv.reader(open(inputCSV, 'r'))\n inCSV.next() #skip header\n workingCSV = utils.mknextfile(prefix='tmpFilesToPARC_', suffix='.csv')\n tmpCSV = csv.writer(open(workingCSV, 'wb'))\n tmpCSV.writerow([\"FilePath\", \"Categorical\", \"Resampling\", \"Aggregation\"])\n outHeader1 = ['x', 'y', 'response']\n outHeader2 = ['', '', '']\n outHeader3 = ['', '', '']\n \n output_dname = utils.mknextdir(prefix='ProjectionLayers_')\n \n for row in inCSV:\n if template == '':\n template = row[0]\n fileShortName = utils.getShortName(row[0])\n if row[1] == 1:\n outHeader1.append(fileShortName + '_categorical')\n else:\n outHeader1.append(fileShortName)\n outHeader2.append('1')\n outHeader3.append(os.path.join(output_dname, fileShortName + '.tif'))\n\n origFile = row[4]\n newOrigFile = origFile\n for lookup in fromto:\n if lookup[0] in origFile:\n newOrigFile = origFile.replace(lookup[0], lookup[1])\n tmpCSV.writerow([newOrigFile,] + row[1:4])\n del tmpCSV\n \n #PARC the files here\n ourPARC = parc.PARC()\n \n \n if configuration.verbose:\n ourPARC.verbose = True\n writetolog(\" output_dname=\" + output_dname, False, False)\n ourPARC.outDir = output_dname\n ourPARC.inputsCSV = workingCSV\n ourPARC.template = template\n\n try:\n ourPARC.parcFiles()\n except TrappedError as e:\n raise ModuleError(self, e.message)\n except :\n utils.informative_untrapped_error(self, \"PARC\")\n \n #loop through our workingCSV and format it into an MDS header\n \n #outputMDS = utils.mknextfile(prefix='ProjectionLayersMDS_', suffix = '.csv')\n outputMDS = os.path.join(output_dname, 'ProjectionLayersMDS.csv')\n outCSV = csv.writer(open(outputMDS, 'wb'))\n outCSV.writerow(outHeader1)\n outCSV.writerow(outHeader2)\n outCSV.writerow(outHeader3)\n \n output_file = utils.create_file_module(outputMDS)\n self.set_output(\"MDS\", output_file)\n writetolog(\"Finished Select Projection Layers widget\", True)", "metadata": "root.ProjectionLayers.compute", "header": "['class', 'ProjectionLayers', '(', 'Module', ')', ':', '___EOS___']", "index": 1298 }, { "content": "class MAXENT(Module):\n\n _output_ports = [(\"lambdas\", \"(edu.utah.sci.vistrails.basic:File)\"),\n (\"report\", \"(edu.utah.sci.vistrails.basic:File)\"),\n (\"roc\", \"(edu.utah.sci.vistrails.basic:File)\")]\n", "metadata": "root.MAXENT", "header": "['module', '___EOS___']", "index": 1428 }, { "content": " def compute(self):\n global maxent_path\n\n ourMaxent = MaxentRunner.MAXENTRunner()\n ourMaxent.outputDir = utils.mknextdir(prefix='maxentFiles_')\n \n ourMaxent.inputMDS = self.force_get_input('inputMDS').name\n \n ourMaxent.maxentpath = maxent_path\n \n MaxentArgsCSV = utils.mknextfile(prefix='MaxentArgs', suffix='.csv')\n argWriter = csv.writer(open(MaxentArgsCSV, 'wb'))\n argWriter.writerow(['parameter','value'])\n for port in self._input_ports:\n #print port\n if port[0] <> 'inputMDS' and port[0] <> 'projectionlayers':\n if self.has_input(port[0]):\n port_val = self.get_input(port[0])\n if port[1] == \"(edu.utah.sci.vistrails.basic:Boolean)\":\n port_val = str(port_val).lower()\n elif (port[1] == \"(edu.utah.sci.vistrails.basic:Path)\" or \\\n port[1] == \"(edu.utah.sci.vistrails.basic:File)\"):\n port_val = port_val.name\n argWriter.writerow([port[0], port_val])\n else:\n #print \" has no input \"\n kwargs = port[2]\n #print kwargs\n try:\n if port[1] == \"(edu.utah.sci.vistrails.basic:Boolean)\":\n default = kwargs['defaults'][2:-2].lower()\n else:\n default = kwargs['defaults'][2:-2]\n #args[port[0]] = default\n argWriter.writerow([port[0], default])\n except KeyError:\n pass\n if self.has_input('projectionlayers'):\n value = self.force_get_input_list('projectionlayers')\n projlayers = ','.join([path.name for path in value])\n argWriter.writerow(['projectionlayers', projlayers])\n \n del argWriter\n ourMaxent.argsCSV = MaxentArgsCSV\n ourMaxent.logger = utils.getLogger()\n try:\n ourMaxent.run()\n except TrappedError as e:\n raise ModuleError(self, e.message) \n except:\n utils.informative_untrapped_error(self, \"Maxent\")\n \n #set outputs\n lambdasfile = os.path.join(ourMaxent.outputDir, ourMaxent.args[\"species_name\"] + \".lambdas\")\n output_file = utils.create_file_module(lambdasfile)\n self.set_output(\"lambdas\", output_file)\n \n \n rocfile = os.path.join(ourMaxent.outputDir, 'plots', ourMaxent.args[\"species_name\"] + \"_roc.png\")\n output_file = utils.create_file_module(rocfile)\n self.set_output(\"roc\", output_file)\n\n htmlfile = os.path.join(ourMaxent.outputDir, ourMaxent.args[\"species_name\"] + \".html\")\n print htmlfile\n output_file = utils.create_file_module(htmlfile)\n self.set_output(\"report\", output_file)\n\n writetolog(\"Finished Maxent widget\", True)", "metadata": "root.MAXENT.compute", "header": "['class', 'MAXENT', '(', 'Module', ')', ':', '___EOS___']", "index": 1434 }, { "content": "def load_max_ent_params(): \n maxent_fname = os.path.join(os.path.dirname(__file__), 'maxent.csv')\n csv_reader = csv.reader(open(maxent_fname, 'rU'))\n # pass on header\n csv_reader.next()\n input_ports = []\n \n input_ports.append(('inputMDS', '(gov.usgs.sahm:MergedDataSet:Other)'))\n \n docs = {}\n basic_pkg = 'edu.utah.sci.vistrails.basic'\n p_type_map = {'file/directory': 'Path',\n 'double': 'Float'}\n for row in csv_reader:\n [name, flag, p_type, default, doc, notes] = row\n name = name.strip()\n p_type = p_type.strip()\n if p_type in p_type_map:\n p_type = p_type_map[str(p_type)]\n else:\n p_type = str(p_type).capitalize()\n kwargs = {}\n default = default.strip()\n if default:\n if p_type == 'Boolean':\n default = default.capitalize()\n kwargs['defaults'] = str([default])\n if p_type == 'Boolean':\n kwargs['optional'] = True\n input_ports.append((name, '(' + basic_pkg + ':' + p_type + ')', kwargs))\n # FIXME set documentation\n #print 'port:', (name, '(' + basic_pkg + ':' + p_type + ')', kwargs)\n docs[name] = doc\n\n\n #print 'MAXENT:', input_ports\n MAXENT._input_ports = input_ports\n MAXENT._port_docs = docs\n\n def provide_input_port_documentation(cls, port_name):\n return cls._port_docs[port_name]\n MAXENT.provide_input_port_documentation = \\\n classmethod(provide_input_port_documentation)", "metadata": "root.load_max_ent_params", "header": "['module', '___EOS___']", "index": 1503 }, { "content": "def initialize(): \n global maxent_path, color_breaks_csv\n global session_dir\n utils.config = configuration\n \n r_path = os.path.abspath(configuration.r_path)\n maxent_path = os.path.abspath(configuration.maxent_path)\n \n \n #I was previously setting the following environmental variables and path additions \n #so that each user wouldn't have to do this on their individual machines. \n #I was running into problems with imports occuring before this initialize routine so \n #I moved the setting of these to an external .net application that sets these before \n #starting up VisTrails.py.\n \n #This should also make this package easier to port to other systems as this stuff would\n #only work on a windows instance.\n #the current dependencies are:\n #an installation of GDAL and Proj.4\n # this includes the GDAL_DATA and PROJ_LIB directories as environmental variables\n #GDAL bindings for python in the python path.\n #QGIS built for the version of Python, QT, PyQt, and SIP used by VisTrails.\n # This one was a painful bear on Windows.\n #All of the DLLs required by the above QGIS build must be on the path.\n #In my case these were in a folder in the OSGeoW installation that QGIS was built \n #off of.\n #And finally QGIS bindings for python in the python path.\n \n \n import qgis.core\n import qgis.gui\n globals()[\"qgis\"] = qgis\n setQGIS(qgis)\n \n qgis_prefix = os.path.join(configuration.qgis_path, \"qgis1.7.0\")\n qgis.core.QgsApplication.setPrefixPath(qgis_prefix, True)\n qgis.core.QgsApplication.initQgis() \n \n \n session_dir = utils.createrootdir(configuration.output_dir)\n utils.createLogger(session_dir, configuration.output_dir)\n #log_file = Utilities.createsessionlog(session_dir, configuration.verbose)\n \n color_breaks_csv = os.path.abspath(os.path.join(os.path.dirname(__file__), \"ColorBreaks.csv\"))\n \n load_max_ent_params()\n \n global layers_csv_fname\n \n writetolog(\"*\" * 79)\n writetolog(\"Initializing:\", True, True)\n writetolog(\" Locations of dependencies\")\n# writetolog(\" Layers CSV = \" + os.path.join(os.path.dirname(__file__), 'layers.csv'))\n writetolog(\" Layers CSV = \" + layers_csv_fname)\n writetolog(\" R path = \" + r_path)\n writetolog(\" GDAL folder = \" + os.path.abspath(configuration.gdal_path))\n writetolog(\" Must contain subfolders proj, gdal-data, GDAL\")\n writetolog(\" Maxent folder = \" + maxent_path)\n writetolog(\" QGIS folder = \" + os.path.abspath(configuration.qgis_path))\n writetolog(\" Must contain subfolders qgis1.7.0, OSGeo4W\")\n writetolog(\" \")\n writetolog(\"*\" * 79)\n \n writetolog(\"*\" * 79)\n writetolog(\" output directory: \" + session_dir)\n writetolog(\"*\" * 79)\n writetolog(\"*\" * 79)", "metadata": "root.initialize", "header": "['module', '___EOS___']", "index": 1606 }, { "content": "def finalize():\n pass\n #utils.cleantemps()#No longer used ", "metadata": "root.finalize", "header": "['module', '___EOS___']", "index": 1674 }, { "content": "def generate_namespaces(modules):\n module_list = []\n for namespace, m_list in modules.iteritems():\n for module in m_list:\n m_dict = {'namespace': namespace}\n if type(module) == tuple:\n m_dict.update(module[1])\n module_list.append((module[0], m_dict))\n #print 'm_dict:', m_dict\n else:\n module_list.append((module, m_dict))\n return module_list", "metadata": "root.generate_namespaces", "header": "['module', '___EOS___']", "index": 1678 }, { "content": "def build_available_trees():\n trees = {}\n global layers_csv_fname\n layers_csv_fname = os.path.join(os.path.dirname(__file__), 'layers.csv')\n csv_reader = csv.reader(open(layers_csv_fname, 'rU'))\n csv_reader.next()\n first_file = csv_reader.next()[0]\n \n #if the first file in the layers file does not exist assume that none\n #of them do and use the exampledata version\n if not os.path.exists(first_file):\n print ((\"!\" * 30) + \" WARNING \" + (\"!\" * 30) + \"\\n\")*3\n print \"The first grid in your layers CSV could not be found.\"\n print \"Defaulting to the example data csv.\"\n print \"fix/set paths in file \" + layers_csv_fname + \" to enable this functionality.\"\n print \"See documentation for more information on setting up the layers.csv\\n\"\n print ((\"!\" * 30) + \" WARNING \" + (\"!\" * 30) + \"\\n\")*3\n layers_csv_fname = os.path.join(os.path.dirname(__file__), 'layers.exampledata.csv')\n \n csv_reader = csv.reader(open(layers_csv_fname, 'rU'))\n # pass on header\n csv_reader.next()\n for row in csv_reader:\n if row[2] not in trees:\n trees[row[2]] = {}\n available_dict = trees[row[2]]\n# if 'Daymet' not in available_dict:\n# available_dict['Daymet'] = []\n# available_dict['Daymet'].append((row[0], row[1], row[3])) \n if row[3] not in available_dict:\n available_dict[row[3]] = []\n available_dict[row[3]].append((row[0], row[1], row[4]))\n \n return trees", "metadata": "root.build_available_trees", "header": "['module', '___EOS___']", "index": 1691 }, { "content": "def build_predictor_modules():\n available_trees = build_available_trees()\n modules = []\n for name, tree in available_trees.iteritems():\n name_arr = name.strip().split()\n class_base = ''.join(n.capitalize() for n in name_arr)\n widget_class = get_predictor_widget(class_base, tree)\n config_class = get_predictor_config(class_base, tree)\n class_name = class_base + \"Predictors\"\n def get_widget_method(w_class):\n @staticmethod\n def get_widget_class():\n return w_class\n return get_widget_class\n module = type(class_name, (PredictorList,),\n {'get_widget_class': get_widget_method(widget_class),\n '_input_ports': \\\n [('value',\n '(gov.usgs.sahm:%s:DataInput)' % class_name, True)]})\n \n modules.append((module, {'configureWidgetType': config_class}))\n for module in modules:\n module[0]._output_ports.append(('value_as_string', '(edu.utah.sci.vistrails.basic:String)', True))\n \n return modules", "metadata": "root.build_predictor_modules", "header": "['module', '___EOS___']", "index": 1726 } ]
[ { "span": "import glob", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 11 }, { "span": "import itertools", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 16 }, { "span": "import sys", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 10 }, { "span": "import subprocess", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 17 }, { "span": "import traceback", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 16 }, { "span": "from core.modules.vistrails_module import Module, ModuleError, ModuleConnector", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 78 }, { "span": "from core.modules.basic_modules import File, Directory, Path, new_constant, Constant", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 84 }, { "span": "from packages.spreadsheet.basic_widgets import SpreadsheetCell, CellLocation", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 76 }, { "span": "from packages.spreadsheet.spreadsheet_cell import QCellWidget, QCellToolBar", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 75 }, { "span": "from core.modules.basic_modules import List", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 43 }, { "span": "from PyQt4 import QtCore, QtGui", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 31 } ]
[]
1
false
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]
Unused import
hyperopt/hyperopt/hyperopt/mongoexp.py
[ { "content": "\"\"\"\nMongodb-based Trials Object\n===========================\n\nComponents involved:\n\n- mongo\n e.g. mongod ...\n\n- driver\n e.g. hyperopt-mongo-search mongo://address bandit_json bandit_algo_json\n\n- worker\n e.g. hyperopt-mongo-worker --loop mongo://address\n\n\nMongo\n=====\n\nMongo (daemon process mongod) is used for IPC between the driver and worker.\nConfigure it as you like, so that hyperopt-mongo-search can communicate with it.\nI think there is some support in this file for an ssh+mongo connection type.\n\nThe experiment uses the following collections for IPC:\n\n* jobs - documents of a standard form used to store suggested trials and their\n results. These documents have keys:\n * spec : subdocument returned by bandit_algo.suggest\n * exp_key: an identifier of which driver suggested this trial\n * cmd: a tuple (protocol, ...) identifying bandit.evaluate\n * state: 0, 1, 2, 3 for job state (new, running, ok, fail)\n * owner: None for new jobs, (hostname, pid) for started jobs\n * book_time: time a job was reserved\n * refresh_time: last time the process running the job checked in\n * result: the subdocument returned by bandit.evaluate\n * error: for jobs of state 3, a reason for failure.\n * logs: a dict of sequences of strings received by ctrl object\n * info: info messages\n * warn: warning messages\n * error: error messages\n\n* fs - a gridfs storage collection (used for pickling)\n\n* drivers - documents describing drivers. These are used to prevent two drivers\n from using the same exp_key simultaneously, and to attach saved states.\n * exp_key\n * workdir: [optional] path where workers should chdir to\n Attachments:\n * pkl: [optional] saved state of experiment class\n * bandit_args_kwargs: [optional] pickled (clsname, args, kwargs) to\n reconstruct bandit in worker processes\n\nThe MongoJobs, and CtrlObj classes as well as the main_worker\nmethod form the abstraction barrier around this database layout.\n\n\nWorker\n======\n\nA worker looks up a job in a mongo database, maps that job document to a\nrunnable python object, calls that object, and writes the return value back to\nthe database.\n\nA worker *reserves* a job by atomically identifying a document in the jobs\ncollection whose owner is None and whose state is 0, and setting the state to\n1. If it fails to identify such a job, it loops with a random sleep interval\nof a few seconds and polls the database.\n\nIf hyperopt-mongo-worker is called with a --loop argument then it goes back to\nthe database after finishing a job to identify and perform another one.\n\nCtrlObj\n-------\n\nThe worker allocates a CtrlObj and passes it to bandit.evaluate in addition to\nthe subdocument found at job['spec']. A bandit can use ctrl.info, ctrl.warn,\nctrl.error and so on like logger methods, and those messages will be written\nto the mongo database (to job['logs']). They are not written synchronously\nthough, they are written when the bandit.evaluate function calls\nctrl.checkpoint().\n\nCtrl.checkpoint does several things:\n* flushes logging messages to the database\n* updates the refresh_time\n* optionally updates the result subdocument\n\nThe main_worker routine calls Ctrl.checkpoint(rval) once after the\nbandit.evalute function has returned before setting the state to 2 or 3 to\nfinalize the job in the database.\n\n\"\"\"\n\n__authors__ = [\"James Bergstra\", \"Dan Yamins\"]\n__license__ = \"3-clause BSD License\"\n__contact__ = \"github.com/hyperopt/hyperopt\"\n\nimport copy\ntry:\n import dill as cPickle\nexcept ImportError:\n import cPickle\nimport hashlib\nimport logging\nimport optparse\nimport os\nimport shutil\nimport signal\nimport socket\nimport subprocess\nimport sys\nimport time\nimport urlparse\nimport warnings\n\nimport numpy\nimport pymongo\nimport gridfs\nfrom bson import SON\n\n\nlogger = logging.getLogger(__name__)\n\nfrom .base import JOB_STATES\nfrom .base import (JOB_STATE_NEW, JOB_STATE_RUNNING, JOB_STATE_DONE,\n JOB_STATE_ERROR)\nfrom .base import Trials\nfrom .base import trials_from_docs\nfrom .base import InvalidTrial\nfrom .base import Ctrl\nfrom .base import SONify\nfrom .base import spec_from_misc\nfrom .utils import coarse_utcnow\nfrom .utils import fast_isin\nfrom .utils import get_most_recent_inds\nfrom .utils import json_call\nfrom .utils import working_dir, temp_dir\nimport plotting\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class OperationFailure(Exception):\n \"\"\"Proxy that could be factored out if we also want to use CouchDB and\n JobmanDB classes with this interface\n \"\"\"", "metadata": "root.OperationFailure", "header": "['module', '___EOS___']", "index": 139 }, { "content": "class Shutdown(Exception):\n \"\"\"\n Exception for telling mongo_worker loop to quit\n \"\"\"", "metadata": "root.Shutdown", "header": "['module', '___EOS___']", "index": 145 }, { "content": "class WaitQuit(Exception):\n \"\"\"\n Exception for telling mongo_worker loop to quit\n \"\"\"", "metadata": "root.WaitQuit", "header": "['module', '___EOS___']", "index": 151 }, { "content": "class InvalidMongoTrial(InvalidTrial):\n pass", "metadata": "root.InvalidMongoTrial", "header": "['module', '___EOS___']", "index": 157 }, { "content": "class DomainSwapError(Exception):\n \"\"\"Raised when the search program tries to change the bandit attached to\n an experiment.\n \"\"\"", "metadata": "root.DomainSwapError", "header": "['module', '___EOS___']", "index": 161 }, { "content": "class ReserveTimeout(Exception):\n \"\"\"No job was reserved in the alotted time\n \"\"\"", "metadata": "root.ReserveTimeout", "header": "['module', '___EOS___']", "index": 167 }, { "content": "def read_pw():\n username = 'hyperopt'\n password = open(os.path.join(os.getenv('HOME'), \".hyperopt\")).read()[:-1]\n return dict(\n username=username,\n password=password)", "metadata": "root.read_pw", "header": "['module', '___EOS___']", "index": 172 }, { "content": "def authenticate_for_db(db):\n d = read_pw()\n db.authenticate(d['username'], d['password'])", "metadata": "root.authenticate_for_db", "header": "['module', '___EOS___']", "index": 180 }, { "content": "def parse_url(url, pwfile=None):\n \"\"\"Unpacks a url of the form\n protocol://[username[:pw]]@hostname[:port]/db/collection\n\n :rtype: tuple of strings\n :returns: protocol, username, password, hostname, port, dbname, collection\n\n :note:\n If the password is not given in the url but the username is, then\n this function will read the password from file by calling\n ``open(pwfile).read()[:-1]``\n\n \"\"\"\n\n protocol=url[:url.find(':')]\n ftp_url='ftp'+url[url.find(':'):]\n\n # -- parse the string as if it were an ftp address\n tmp = urlparse.urlparse(ftp_url)\n\n logger.info( 'PROTOCOL %s'% protocol)\n logger.info( 'USERNAME %s'% tmp.username)\n logger.info( 'HOSTNAME %s'% tmp.hostname)\n logger.info( 'PORT %s'% tmp.port)\n logger.info( 'PATH %s'% tmp.path)\n try:\n _, dbname, collection = tmp.path.split('/')\n except:\n print >> sys.stderr, \"Failed to parse '%s'\"%(str(tmp.path))\n raise\n logger.info( 'DB %s'% dbname)\n logger.info( 'COLLECTION %s'% collection)\n\n if tmp.password is None:\n if (tmp.username is not None) and pwfile:\n password = open(pwfile).read()[:-1]\n else:\n password = None\n else:\n password = tmp.password\n logger.info( 'PASS %s'% password)\n\n return (protocol, tmp.username, password, tmp.hostname, tmp.port, dbname,\n collection)", "metadata": "root.parse_url", "header": "['module', '___EOS___']", "index": 185 }, { "content": "def connection_with_tunnel(host='localhost',\n auth_dbname='admin', port=27017,\n ssh=False, user='hyperopt', pw=None):\n if ssh:\n local_port=numpy.random.randint(low=27500, high=28000)\n # -- forward from local to remote machine\n ssh_tunnel = subprocess.Popen(\n ['ssh', '-NTf', '-L',\n '%i:%s:%i'%(local_port, '127.0.0.1', port),\n host],\n #stdin=subprocess.PIPE,\n #stdout=subprocess.PIPE,\n #stderr=subprocess.PIPE,\n )\n # -- give the subprocess time to set up\n time.sleep(.5)\n connection = pymongo.Connection('127.0.0.1', local_port,\n document_class=SON)\n else:\n connection = pymongo.Connection(host, port, document_class=SON)\n if user:\n if user == 'hyperopt':\n authenticate_for_db(connection[auth_dbname])\n else:\n raise NotImplementedError()\n ssh_tunnel=None\n\n # -- Ensure that changes are written to at least once server.\n connection.write_concern['w'] = 1\n # -- Ensure that changes are written to the journal if there is one.\n connection.write_concern['j'] = True\n\n return connection, ssh_tunnel", "metadata": "root.connection_with_tunnel", "header": "['module', '___EOS___']", "index": 231 }, { "content": "def connection_from_string(s):\n protocol, user, pw, host, port, db, collection = parse_url(s)\n if protocol == 'mongo':\n ssh=False\n elif protocol in ('mongo+ssh', 'ssh+mongo'):\n ssh=True\n else:\n raise ValueError('unrecognized protocol for MongoJobs', protocol)\n connection, tunnel = connection_with_tunnel(\n ssh=ssh,\n user=user,\n pw=pw,\n host=host,\n port=port,\n )\n return connection, tunnel, connection[db], connection[db][collection]", "metadata": "root.connection_from_string", "header": "['module', '___EOS___']", "index": 266 }, { "content": "class MongoJobs(object):\n \"\"\"\n # Interface to a Jobs database structured like this\n #\n # Collections:\n #\n # db.jobs - structured {config_name, 'cmd', 'owner', 'book_time',\n # 'refresh_time', 'state', 'exp_key', 'owner', 'result'}\n # This is the collection that the worker nodes write to\n #\n # db.gfs - file storage via gridFS for all collections\n #\n \"\"\"\n\n # TODO: rename jobs -> coll throughout\n coll = property(lambda s : s.jobs)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.MongoJobs", "header": "['module', '___EOS___']", "index": 284 }, { "content": " def __init__(self, db, jobs, gfs, conn, tunnel, config_name):\n \"\"\"\n Parameters\n ----------\n\n db - Mongo Database (e.g. `Connection()[dbname]`)\n database in which all job-related info is stored\n\n jobs - Mongo Collection handle\n collection within `db` to use for job arguments, return vals,\n and various bookkeeping stuff and meta-data. Typically this is\n `db['jobs']`\n\n gfs - Mongo GridFS handle\n GridFS is used to store attachments - binary blobs that don't fit\n or are awkward to store in the `jobs` collection directly.\n\n conn - Mongo Connection\n Why we need to keep this, I'm not sure.\n\n tunnel - something for ssh tunneling if you're doing that\n See `connection_with_tunnel` for more info.\n\n config_name - string\n XXX: No idea what this is for, seems unimportant.\n\n \"\"\"\n self.db = db\n self.jobs = jobs\n assert jobs.write_concern['w'] >= 1\n self.gfs = gfs\n self.conn = conn\n self.tunnel = tunnel\n self.config_name = config_name", "metadata": "root.MongoJobs.__init__", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 297 }, { "content": " @classmethod\n def alloc(cls, dbname, host='localhost',\n auth_dbname='admin', port=27017,\n jobs_coll='jobs', gfs_coll='fs', ssh=False, user=None, pw=None):\n connection, tunnel = connection_with_tunnel(\n host, auth_dbname, port, ssh, user, pw)\n db = connection[dbname]\n gfs = gridfs.GridFS(db, collection=gfs_coll)\n return cls(db, db[jobs_coll], gfs, connection, tunnel)", "metadata": "root.MongoJobs.alloc", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 335 }, { "content": " @classmethod\n def new_from_connection_str(cls, conn_str, gfs_coll='fs', config_name='spec'):\n connection, tunnel, db, coll = connection_from_string(conn_str)\n gfs = gridfs.GridFS(db, collection=gfs_coll)\n return cls(db, coll, gfs, connection, tunnel, config_name)", "metadata": "root.MongoJobs.new_from_connection_str", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 345 }, { "content": " def __iter__(self):\n return self.jobs.find()", "metadata": "root.MongoJobs.__iter__", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 351 }, { "content": " def __len__(self):\n try:\n return self.jobs.count()\n except:\n return 0", "metadata": "root.MongoJobs.__len__", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 354 }, { "content": " def create_jobs_indexes(self):\n jobs = self.db.jobs\n for k in ['exp_key', 'result.loss', 'book_time']:\n jobs.create_index(k)", "metadata": "root.MongoJobs.create_jobs_indexes", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 360 }, { "content": " def create_drivers_indexes(self):\n drivers = self.db.drivers\n drivers.create_index('exp_key', unique=True)", "metadata": "root.MongoJobs.create_drivers_indexes", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 365 }, { "content": " def create_indexes(self):\n self.create_jobs_indexes()\n self.create_drivers_indexes()", "metadata": "root.MongoJobs.create_indexes", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 369 }, { "content": " def jobs_complete(self, cursor=False):\n c = self.jobs.find(spec=dict(state=JOB_STATE_DONE))\n return c if cursor else list(c)", "metadata": "root.MongoJobs.jobs_complete", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 373 }, { "content": " def jobs_error(self, cursor=False):\n c = self.jobs.find(spec=dict(state=JOB_STATE_ERROR))\n return c if cursor else list(c)", "metadata": "root.MongoJobs.jobs_error", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 377 }, { "content": " def jobs_running(self, cursor=False):\n if cursor:\n raise NotImplementedError()\n rval = list(self.jobs.find(spec=dict(state=JOB_STATE_RUNNING)))\n #TODO: mark some as MIA\n rval = [r for r in rval if not r.get('MIA', False)]\n return rval", "metadata": "root.MongoJobs.jobs_running", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 381 }, { "content": " def jobs_dead(self, cursor=False):\n if cursor:\n raise NotImplementedError()\n rval = list(self.jobs.find(spec=dict(state=JOB_STATE_RUNNING)))\n #TODO: mark some as MIA\n rval = [r for r in rval if r.get('MIA', False)]\n return rval", "metadata": "root.MongoJobs.jobs_dead", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 389 }, { "content": " def jobs_queued(self, cursor=False):\n c = self.jobs.find(spec=dict(state=JOB_STATE_NEW))\n return c if cursor else list(c)", "metadata": "root.MongoJobs.jobs_queued", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 397 }, { "content": " def insert(self, job):\n \"\"\"Return a job dictionary by inserting the job dict into the database\"\"\"\n try:\n cpy = copy.deepcopy(job)\n # -- this call adds an _id field to cpy\n _id = self.jobs.insert(cpy, check_keys=True)\n # -- so now we return the dict with the _id field\n assert _id == cpy['_id']\n return cpy\n except pymongo.errors.OperationFailure, e:\n # -- translate pymongo error class into hyperopt error class\n # This was meant to make it easier to catch insertion errors\n # in a generic way even if different databases were used.\n # ... but there's just MongoDB so far, so kinda goofy.\n raise OperationFailure(e)", "metadata": "root.MongoJobs.insert", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 401 }, { "content": " def delete(self, job):\n \"\"\"Delete job[s]\"\"\"\n try:\n self.jobs.remove(job)\n except pymongo.errors.OperationFailure, e:\n # -- translate pymongo error class into hyperopt error class\n # see insert() code for rationale.\n raise OperationFailure(e)", "metadata": "root.MongoJobs.delete", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 417 }, { "content": " def delete_all(self, cond=None):\n \"\"\"Delete all jobs and attachments\"\"\"\n if cond is None:\n cond = {}\n try:\n for d in self.jobs.find(spec=cond, fields=['_id', '_attachments']):\n logger.info('deleting job %s' % d['_id'])\n for name, file_id in d.get('_attachments', []):\n try:\n self.gfs.delete(file_id)\n except gridfs.errors.NoFile:\n logger.error('failed to remove attachment %s:%s' % (\n name, file_id))\n self.jobs.remove(d)\n except pymongo.errors.OperationFailure, e:\n # -- translate pymongo error class into hyperopt error class\n # see insert() code for rationale.\n raise OperationFailure(e)", "metadata": "root.MongoJobs.delete_all", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 426 }, { "content": " def delete_all_error_jobs(self):\n return self.delete_all(cond={'state': JOB_STATE_ERROR})", "metadata": "root.MongoJobs.delete_all_error_jobs", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 445 }, { "content": " def reserve(self, host_id, cond=None, exp_key=None):\n now = coarse_utcnow()\n if cond is None:\n cond = {}\n else:\n cond = copy.copy(cond) #copy is important, will be modified, but only the top-level\n\n if exp_key is not None:\n cond['exp_key'] = exp_key\n\n #having an owner of None implies state==JOB_STATE_NEW, so this effectively\n #acts as a filter to make sure that only new jobs get reserved.\n if cond.get('owner') is not None:\n raise ValueError('refusing to reserve owned job')\n else:\n cond['owner'] = None\n cond['state'] = JOB_STATE_NEW #theoretically this is redundant, theoretically\n\n try:\n rval = self.jobs.find_and_modify(\n cond,\n {'$set':\n {'owner': host_id,\n 'book_time': now,\n 'state': JOB_STATE_RUNNING,\n 'refresh_time': now,\n }\n },\n new=True,\n upsert=False)\n except pymongo.errors.OperationFailure, e:\n logger.error('Error during reserve_job: %s'%str(e))\n rval = None\n return rval", "metadata": "root.MongoJobs.reserve", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 448 }, { "content": " def refresh(self, doc):\n self.update(doc, dict(refresh_time=coarse_utcnow()))", "metadata": "root.MongoJobs.refresh", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 483 }, { "content": " def update(self, doc, dct, collection=None, do_sanity_checks=True):\n \"\"\"Return union of doc and dct, after making sure that dct has been\n added to doc in `collection`.\n\n This function does not modify either `doc` or `dct`.\n\n \"\"\"\n if collection is None:\n collection = self.coll\n\n dct = copy.deepcopy(dct)\n if '_id' not in doc:\n raise ValueError('doc must have an \"_id\" key to be updated')\n\n if '_id' in dct:\n if dct['_id'] != doc['_id']:\n raise ValueError('cannot update the _id field')\n del dct['_id']\n\n if 'version' in dct:\n if dct['version'] != doc['version']:\n warnings.warn('Ignoring \"version\" field in update dictionary')\n\n if 'version' in doc:\n doc_query = dict(_id=doc['_id'], version=doc['version'])\n dct['version'] = doc['version']+1\n else:\n doc_query = dict(_id=doc['_id'])\n dct['version'] = 1\n try:\n # warning - if doc matches nothing then this function succeeds\n # N.B. this matches *at most* one entry, and possibly zero\n collection.update(\n doc_query,\n {'$set': dct},\n upsert=False,\n multi=False,)\n except pymongo.errors.OperationFailure, e:\n # -- translate pymongo error class into hyperopt error class\n # see insert() code for rationale.\n raise OperationFailure(e)\n\n # update doc in-place to match what happened on the server side\n doc.update(dct)\n\n if do_sanity_checks:\n server_doc = collection.find_one(\n dict(_id=doc['_id'], version=doc['version']))\n if server_doc is None:\n raise OperationFailure('updated doc not found : %s'\n % str(doc))\n elif server_doc != doc:\n if 0:# This is all commented out because it is tripping on the fact that\n # str('a') != unicode('a').\n # TODO: eliminate false alarms and catch real ones\n mismatching_keys = []\n for k, v in server_doc.items():\n if k in doc:\n if doc[k] != v:\n mismatching_keys.append((k, v, doc[k]))\n else:\n mismatching_keys.append((k, v, '<missing>'))\n for k,v in doc.items():\n if k not in server_doc:\n mismatching_keys.append((k, '<missing>', v))\n\n raise OperationFailure('local and server doc documents are out of sync: %s'%\n repr((doc, server_doc, mismatching_keys)))\n return doc", "metadata": "root.MongoJobs.update", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 486 }, { "content": " def attachment_names(self, doc):\n def as_str(name_id):\n assert isinstance(name_id[0], basestring), name_id\n return str(name_id[0])\n return map(as_str, doc.get('_attachments', []))", "metadata": "root.MongoJobs.attachment_names", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 556 }, { "content": " def set_attachment(self, doc, blob, name, collection=None):\n \"\"\"Attach potentially large data string `blob` to `doc` by name `name`\n\n blob must be a string\n\n doc must have been saved in some collection (must have an _id), but not\n necessarily the jobs collection.\n\n name must be a string\n\n Returns None\n \"\"\"\n\n # If there is already a file with the given name for this doc, then we will delete it\n # after writing the new file\n attachments = doc.get('_attachments', [])\n name_matches = [a for a in attachments if a[0] == name]\n\n # the filename is set to something so that fs.list() will display the file\n new_file_id = self.gfs.put(blob, filename='%s_%s' % (doc['_id'], name))\n logger.info('stored blob of %i bytes with id=%s and filename %s_%s' % (\n len(blob), str(new_file_id), doc['_id'], name))\n\n new_attachments = ([a for a in attachments if a[0] != name]\n + [(name, new_file_id)])\n\n try:\n ii = 0\n doc = self.update(doc, {'_attachments': new_attachments},\n collection=collection)\n # there is a database leak until we actually delete the files that\n # are no longer pointed to by new_attachments\n while ii < len(name_matches):\n self.gfs.delete(name_matches[ii][1])\n ii += 1\n except:\n while ii < len(name_matches):\n logger.warning(\"Leak during set_attachment: old_file_id=%s\" % (\n name_matches[ii][1]))\n ii += 1\n raise\n assert len([n for n in self.attachment_names(doc) if n == name]) == 1\n #return new_file_id", "metadata": "root.MongoJobs.set_attachment", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 562 }, { "content": " def get_attachment(self, doc, name):\n \"\"\"Retrieve data attached to `doc` by `attach_blob`.\n\n Raises OperationFailure if `name` does not correspond to an attached blob.\n\n Returns the blob as a string.\n \"\"\"\n attachments = doc.get('_attachments', [])\n file_ids = [a[1] for a in attachments if a[0] == name]\n if not file_ids:\n raise OperationFailure('Attachment not found: %s' % name)\n if len(file_ids) > 1:\n raise OperationFailure('multiple name matches', (name, file_ids))\n return self.gfs.get(file_ids[0]).read()", "metadata": "root.MongoJobs.get_attachment", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 606 }, { "content": " def delete_attachment(self, doc, name, collection=None):\n attachments = doc.get('_attachments', [])\n file_id = None\n for i,a in enumerate(attachments):\n if a[0] == name:\n file_id = a[1]\n break\n if file_id is None:\n raise OperationFailure('Attachment not found: %s' % name)\n #print \"Deleting\", file_id\n del attachments[i]\n self.update(doc, {'_attachments':attachments}, collection=collection)\n self.gfs.delete(file_id)", "metadata": "root.MongoJobs.delete_attachment", "header": "['class', 'MongoJobs', '(', 'object', ')', ':', '___EOS___']", "index": 621 }, { "content": "class MongoTrials(Trials):\n \"\"\"Trials maps on to an entire mongo collection. It's basically a wrapper\n around MongoJobs for now.\n\n As a concession to performance, this object permits trial filtering based\n on the exp_key, but I feel that's a hack. The case of `cmd` is similar--\n the exp_key and cmd are semantically coupled.\n\n WRITING TO THE DATABASE\n -----------------------\n The trials object is meant for *reading* a trials database. Writing\n to a database is different enough from writing to an in-memory\n collection that no attempt has been made to abstract away that\n difference. If you want to update the documents within\n a MongoTrials collection, then retrieve the `.handle` attribute (a\n MongoJobs instance) and use lower-level methods, or pymongo's\n interface directly. When you are done writing, call refresh() or\n refresh_tids() to bring the MongoTrials up to date.\n \"\"\"\n async = True\n\n\n\n\n\n\n\n\n\n", "metadata": "root.MongoTrials", "header": "['module', '___EOS___']", "index": 636 }, { "content": " def __init__(self, arg, exp_key=None, cmd=None, workdir=None,\n refresh=True):\n if isinstance(arg, MongoJobs):\n self.handle = arg\n else:\n connection_string = arg\n self.handle = MongoJobs.new_from_connection_str(connection_string)\n self.handle.create_indexes()\n self._exp_key = exp_key\n self.cmd = cmd\n self.workdir = workdir\n if refresh:\n self.refresh()", "metadata": "root.MongoTrials.__init__", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 657 }, { "content": " def view(self, exp_key=None, cmd=None, workdir=None, refresh=True):\n rval = self.__class__(self.handle,\n exp_key=self._exp_key if exp_key is None else exp_key,\n cmd=self.cmd if cmd is None else cmd,\n workdir=self.workdir if workdir is None else workdir,\n refresh=refresh)\n return rval", "metadata": "root.MongoTrials.view", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 671 }, { "content": " def refresh_tids(self, tids):\n \"\"\" Sync documents with `['tid']` in the list of `tids` from the\n database (not *to* the database).\n\n Local trial documents whose tid is not in `tids` are not\n affected by this call. Local trial documents whose tid is in `tids` may\n be:\n\n * *deleted* (if db no longer has corresponding document), or\n * *updated* (if db has an updated document) or,\n * *left alone* (if db document matches local one).\n\n Additionally, if the db has a matching document, but there is no\n local trial with a matching tid, then the db document will be\n *inserted* into the local collection.\n\n \"\"\"\n exp_key = self._exp_key\n if exp_key != None:\n query = {'exp_key' : exp_key}\n else:\n query = {}\n t0 = time.time()\n query['state'] = {'$ne': JOB_STATE_ERROR}\n if tids is not None:\n query['tid'] = {'$in': list(tids)}\n orig_trials = getattr(self, '_trials', [])\n _trials = orig_trials[:] #copy to make sure it doesn't get screwed up\n if _trials:\n db_data = list(self.handle.jobs.find(query,\n fields=['_id', 'version']))\n # -- pull down a fresh list of ids from mongo\n if db_data:\n #make numpy data arrays\n db_data = numpy.rec.array([(x['_id'], int(x['version']))\n for x in db_data],\n names=['_id', 'version'])\n db_data.sort(order=['_id', 'version'])\n db_data = db_data[get_most_recent_inds(db_data)]\n\n existing_data = numpy.rec.array([(x['_id'],\n int(x['version'])) for x in _trials],\n names=['_id', 'version'])\n existing_data.sort(order=['_id', 'version'])\n\n #which records are in db but not in existing, and vice versa\n db_in_existing = fast_isin(db_data['_id'], existing_data['_id'])\n existing_in_db = fast_isin(existing_data['_id'], db_data['_id'])\n\n #filtering out out-of-date records\n _trials = [_trials[_ind] for _ind in existing_in_db.nonzero()[0]]\n\n #new data is what's in db that's not in existing\n new_data = db_data[numpy.invert(db_in_existing)]\n\n #having removed the new and out of data data,\n #concentrating on data in db and existing for state changes\n db_data = db_data[db_in_existing]\n existing_data = existing_data[existing_in_db]\n try:\n assert len(db_data) == len(existing_data)\n assert (existing_data['_id'] == db_data['_id']).all()\n assert (existing_data['version'] <= db_data['version']).all()\n except:\n reportpath = os.path.join(os.getcwd(),\n 'hyperopt_refresh_crash_report_' + \\\n str(numpy.random.randint(1e8)) + '.pkl')\n logger.error('HYPEROPT REFRESH ERROR: writing error file to %s' % reportpath)\n _file = open(reportpath, 'w')\n cPickle.dump({'db_data': db_data,\n 'existing_data': existing_data},\n _file)\n _file.close()\n raise\n\n same_version = existing_data['version'] == db_data['version']\n _trials = [_trials[_ind] for _ind in same_version.nonzero()[0]]\n version_changes = existing_data[numpy.invert(same_version)]\n\n #actually get the updated records\n update_ids = new_data['_id'].tolist() + version_changes['_id'].tolist()\n num_new = len(update_ids)\n update_query = copy.deepcopy(query)\n update_query['_id'] = {'$in': update_ids}\n updated_trials = list(self.handle.jobs.find(update_query))\n _trials.extend(updated_trials)\n else:\n num_new = 0\n _trials = []\n else:\n #this case is for performance, though should be able to be removed\n #without breaking correctness.\n _trials = list(self.handle.jobs.find(query))\n if _trials:\n _trials = [_trials[_i] for _i in get_most_recent_inds(_trials)]\n num_new = len(_trials)\n\n logger.debug('Refresh data download took %f seconds for %d ids' %\n (time.time() - t0, num_new))\n\n if tids is not None:\n # -- If tids were given, then _trials only contains\n # documents with matching tids. Here we augment these\n # fresh matching documents, with our current ones whose\n # tids don't match.\n new_trials = _trials\n tids_set = set(tids)\n assert all(t['tid'] in tids_set for t in new_trials)\n old_trials = [t for t in orig_trials if t['tid'] not in tids_set]\n _trials = new_trials + old_trials\n\n # -- reassign new trials to self, in order of increasing tid\n jarray = numpy.array([j['_id'] for j in _trials])\n jobsort = jarray.argsort()\n self._trials = [_trials[_idx] for _idx in jobsort]\n self._specs = [_trials[_idx]['spec'] for _idx in jobsort]\n self._results = [_trials[_idx]['result'] for _idx in jobsort]\n self._miscs = [_trials[_idx]['misc'] for _idx in jobsort]", "metadata": "root.MongoTrials.refresh_tids", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 679 }, { "content": " def refresh(self):\n self.refresh_tids(None)", "metadata": "root.MongoTrials.refresh", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 798 }, { "content": " def _insert_trial_docs(self, docs):\n rval = []\n for doc in docs:\n rval.append(self.handle.jobs.insert(doc))\n return rval", "metadata": "root.MongoTrials._insert_trial_docs", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 801 }, { "content": " def count_by_state_unsynced(self, arg):\n exp_key = self._exp_key\n # TODO: consider searching by SON rather than dict\n if isinstance(arg, int):\n if arg not in JOB_STATES:\n raise ValueError('invalid state', arg)\n query = dict(state=arg)\n else:\n assert hasattr(arg, '__iter__')\n states = list(arg)\n assert all([x in JOB_STATES for x in states])\n query = dict(state={'$in': states})\n if exp_key != None:\n query['exp_key'] = exp_key\n rval = self.handle.jobs.find(query).count()\n return rval", "metadata": "root.MongoTrials.count_by_state_unsynced", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 807 }, { "content": " def delete_all(self, cond=None):\n if cond is None:\n cond = {}\n else:\n cond = dict(cond)\n\n if self._exp_key:\n cond['exp_key'] = self._exp_key\n # -- remove all documents matching condition\n self.handle.delete_all(cond)\n gfs = self.handle.gfs\n for filename in gfs.list():\n try:\n fdoc = gfs.get_last_version(filename=filename, **cond)\n except gridfs.errors.NoFile:\n continue\n gfs.delete(fdoc._id)\n self.refresh()", "metadata": "root.MongoTrials.delete_all", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 824 }, { "content": " def new_trial_ids(self, N):\n db = self.handle.db\n # N.B. that the exp key is *not* used here. It was once, but it caused\n # a nasty bug: tids were generated by a global experiment\n # with exp_key=None, running a suggest() that introduced sub-experiments\n # with exp_keys, which ran jobs that did result injection. The tids of\n # injected jobs were sometimes unique within an experiment, and\n # sometimes not. Hilarious!\n #\n # Solution: tids are generated to be unique across the db, not just\n # within an exp_key.\n #\n\n # -- mongo docs say you can't upsert an empty document\n query = {'a': 0}\n\n doc = None\n while doc is None:\n doc = db.job_ids.find_and_modify(\n query,\n {'$inc' : {'last_id': N}},\n upsert=True)\n if doc is None:\n logger.warning('no last_id found, re-trying')\n time.sleep(1.0)\n lid = doc.get('last_id', 0)\n return range(lid, lid + N)", "metadata": "root.MongoTrials.new_trial_ids", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 843 }, { "content": " def trial_attachments(self, trial):\n \"\"\"\n Attachments to a single trial (e.g. learned weights)\n\n Returns a dictionary interface to the attachments.\n \"\"\"\n\n # don't offer more here than in MongoCtrl\n class Attachments(object):\n def __contains__(_self, name):\n return name in self.handle.attachment_names(doc=trial)\n\n def __len__(_self):\n return len(self.handle.attachment_names(doc=trial))\n\n def __iter__(_self):\n return iter(self.handle.attachment_names(doc=trial))\n\n def __getitem__(_self, name):\n try:\n return self.handle.get_attachment(\n doc=trial,\n name=name)\n except OperationFailure:\n raise KeyError(name)\n\n def __setitem__(_self, name, value):\n self.handle.set_attachment(\n doc=trial,\n blob=value,\n name=name,\n collection=self.handle.db.jobs)\n\n def __delitem__(_self, name):\n raise NotImplementedError('delete trial_attachment')\n\n def keys(self):\n return [k for k in self]\n\n def values(self):\n return [self[k] for k in self]\n\n def items(self):\n return [(k, self[k]) for k in self]\n\n return Attachments()", "metadata": "root.MongoTrials.trial_attachments", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 871 }, { "content": " @property\n def attachments(self):\n \"\"\"\n Attachments to a Trials set (such as bandit args).\n\n Support syntax for load: self.attachments[name]\n Support syntax for store: self.attachments[name] = value\n \"\"\"\n gfs = self.handle.gfs\n\n query = {}\n if self._exp_key:\n query['exp_key'] = self._exp_key\n\n class Attachments(object):\n def __iter__(_self):\n if query:\n # -- gfs.list does not accept query kwargs\n # (at least, as of pymongo 2.4)\n filenames = [fname\n for fname in gfs.list()\n if fname in _self]\n else:\n filenames = gfs.list()\n return iter(filenames)\n\n def __contains__(_self, name):\n return gfs.exists(filename=name, **query)\n\n def __getitem__(_self, name):\n try:\n rval = gfs.get_version(filename=name, **query).read()\n return rval\n except gridfs.NoFile:\n raise KeyError(name)\n\n def __setitem__(_self, name, value):\n if gfs.exists(filename=name, **query):\n gout = gfs.get_last_version(filename=name, **query)\n gfs.delete(gout._id)\n gfs.put(value, filename=name, **query)\n\n def __delitem__(_self, name):\n gout = gfs.get_last_version(filename=name, **query)\n gfs.delete(gout._id)\n\n return Attachments()", "metadata": "root.MongoTrials.attachments", "header": "['class', 'MongoTrials', '(', 'Trials', ')', ':', '___EOS___']", "index": 918 }, { "content": "class MongoWorker(object):\n poll_interval = 3.0 # -- seconds\n workdir = None\n\n\n", "metadata": "root.MongoWorker", "header": "['module', '___EOS___']", "index": 967 }, { "content": " def __init__(self, mj,\n poll_interval=poll_interval,\n workdir=workdir,\n exp_key=None,\n logfilename='logfile.txt',\n ):\n \"\"\"\n mj - MongoJobs interface to jobs collection\n poll_interval - seconds\n workdir - string\n exp_key - restrict reservations to this key\n \"\"\"\n self.mj = mj\n self.poll_interval = poll_interval\n self.workdir = workdir\n self.exp_key = exp_key\n self.logfilename = logfilename", "metadata": "root.MongoWorker.__init__", "header": "['class', 'MongoWorker', '(', 'object', ')', ':', '___EOS___']", "index": 971 }, { "content": " def make_log_handler(self):\n self.log_handler = logging.FileHandler(self.logfilename)\n self.log_handler.setFormatter(\n logging.Formatter(\n fmt='%(levelname)s (%(name)s): %(message)s'))\n self.log_handler.setLevel(logging.INFO)", "metadata": "root.MongoWorker.make_log_handler", "header": "['class', 'MongoWorker', '(', 'object', ')', ':', '___EOS___']", "index": 989 }, { "content": " def run_one(self,\n host_id=None,\n reserve_timeout=None,\n erase_created_workdir=False,\n ):\n if host_id == None:\n host_id = '%s:%i'%(socket.gethostname(), os.getpid()),\n job = None\n start_time = time.time()\n mj = self.mj\n while job is None:\n if (reserve_timeout\n and (time.time() - start_time) > reserve_timeout):\n raise ReserveTimeout()\n job = mj.reserve(host_id, exp_key=self.exp_key)\n if not job:\n interval = (1 +\n numpy.random.rand()\n * (float(self.poll_interval) - 1.0))\n logger.info('no job found, sleeping for %.1fs' % interval)\n time.sleep(interval)\n\n logger.debug('job found: %s' % str(job))\n\n # -- don't let the cmd mess up our trial object\n spec = spec_from_misc(job['misc'])\n\n ctrl = MongoCtrl(\n trials=MongoTrials(mj, exp_key=job['exp_key'], refresh=False),\n read_only=False,\n current_trial=job)\n if self.workdir is None:\n workdir = job['misc'].get('workdir', os.getcwd())\n if workdir is None:\n workdir = ''\n workdir = os.path.join(workdir, str(job['_id']))\n else:\n workdir = self.workdir\n workdir = os.path.abspath(os.path.expanduser(workdir))\n try:\n root_logger = logging.getLogger()\n if self.logfilename:\n self.make_log_handler()\n root_logger.addHandler(self.log_handler)\n\n cmd = job['misc']['cmd']\n cmd_protocol = cmd[0]\n try:\n if cmd_protocol == 'cpickled fn':\n worker_fn = cPickle.loads(cmd[1])\n elif cmd_protocol == 'call evaluate':\n bandit = cPickle.loads(cmd[1])\n worker_fn = bandit.evaluate\n elif cmd_protocol == 'token_load':\n cmd_toks = cmd[1].split('.')\n cmd_module = '.'.join(cmd_toks[:-1])\n worker_fn = exec_import(cmd_module, cmd[1])\n elif cmd_protocol == 'bandit_json evaluate':\n bandit = json_call(cmd[1])\n worker_fn = bandit.evaluate\n elif cmd_protocol == 'driver_attachment':\n #name = 'driver_attachment_%s' % job['exp_key']\n blob = ctrl.trials.attachments[cmd[1]]\n bandit_name, bandit_args, bandit_kwargs = cPickle.loads(blob)\n worker_fn = json_call(bandit_name,\n args=bandit_args,\n kwargs=bandit_kwargs).evaluate\n elif cmd_protocol == 'domain_attachment':\n blob = ctrl.trials.attachments[cmd[1]]\n try:\n domain = cPickle.loads(blob)\n except BaseException, e:\n logger.info('Error while unpickling. Try installing dill via \"pip install dill\" for enhanced pickling support.')\n raise\n worker_fn = domain.evaluate\n else:\n raise ValueError('Unrecognized cmd protocol', cmd_protocol)\n\n with temp_dir(workdir, erase_created_workdir), working_dir(workdir):\n result = worker_fn(spec, ctrl)\n result = SONify(result)\n except BaseException, e:\n #XXX: save exception to database, but if this fails, then\n # at least raise the original traceback properly\n logger.info('job exception: %s' % str(e))\n ctrl.checkpoint()\n mj.update(job,\n {'state': JOB_STATE_ERROR,\n 'error': (str(type(e)), str(e))})\n raise\n finally:\n if self.logfilename:\n root_logger.removeHandler(self.log_handler)\n\n logger.info('job finished: %s' % str(job['_id']))\n attachments = result.pop('attachments', {})\n for aname, aval in attachments.items():\n logger.info(\n 'mongoexp: saving attachment name=%s (%i bytes)' % (\n aname, len(aval)))\n ctrl.attachments[aname] = aval\n ctrl.checkpoint(result)\n mj.update(job, {'state': JOB_STATE_DONE})", "metadata": "root.MongoWorker.run_one", "header": "['class', 'MongoWorker', '(', 'object', ')', ':', '___EOS___']", "index": 996 }, { "content": "class MongoCtrl(Ctrl):\n \"\"\"\n Attributes:\n\n current_trial - current job document\n jobs - MongoJobs object in which current_trial resides\n read_only - True means don't change the db\n\n \"\"\"\n\n\n\n\n\n\n", "metadata": "root.MongoCtrl", "header": "['module', '___EOS___']", "index": 1100 }, { "content": " def __init__(self, trials, current_trial, read_only):\n self.trials = trials\n self.current_trial = current_trial\n self.read_only = read_only", "metadata": "root.MongoCtrl.__init__", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1109 }, { "content": " def debug(self, *args, **kwargs):\n # XXX: This is supposed to log to db\n return logger.debug(*args, **kwargs)", "metadata": "root.MongoCtrl.debug", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1114 }, { "content": " def info(self, *args, **kwargs):\n # XXX: This is supposed to log to db\n return logger.info(*args, **kwargs)", "metadata": "root.MongoCtrl.info", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1118 }, { "content": " def warn(self, *args, **kwargs):\n # XXX: This is supposed to log to db\n return logger.warn(*args, **kwargs)", "metadata": "root.MongoCtrl.warn", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1122 }, { "content": " def error(self, *args, **kwargs):\n # XXX: This is supposed to log to db\n return logger.error(*args, **kwargs)", "metadata": "root.MongoCtrl.error", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1126 }, { "content": " def checkpoint(self, result=None):\n if not self.read_only:\n handle = self.trials.handle\n handle.refresh(self.current_trial)\n if result is not None:\n return handle.update(self.current_trial, dict(result=result))", "metadata": "root.MongoCtrl.checkpoint", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1130 }, { "content": " @property\n def attachments(self):\n \"\"\"\n Support syntax for load: self.attachments[name]\n Support syntax for store: self.attachments[name] = value\n \"\"\"\n return self.trials.trial_attachments(trial=self.current_trial)", "metadata": "root.MongoCtrl.attachments", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1137 }, { "content": " @property\n def set_attachment(self):\n # XXX: Is there a better deprecation error?\n raise RuntimeError(\n 'set_attachment deprecated. Use `self.attachments[name] = value`')", "metadata": "root.MongoCtrl.set_attachment", "header": "['class', 'MongoCtrl', '(', 'Ctrl', ')', ':', '___EOS___']", "index": 1145 }, { "content": "def exec_import(cmd_module, cmd):\n worker_fn = None\n exec('import %s; worker_fn = %s' % (cmd_module, cmd))\n return worker_fn", "metadata": "root.exec_import", "header": "['module', '___EOS___']", "index": 1152 }, { "content": "def as_mongo_str(s):\n if s.startswith('mongo://'):\n return s\n else:\n return 'mongo://%s' % s", "metadata": "root.as_mongo_str", "header": "['module', '___EOS___']", "index": 1158 }, { "content": "def main_worker_helper(options, args):\n N = int(options.max_jobs)\n if options.last_job_timeout is not None:\n last_job_timeout = time.time() + float(options.last_job_timeout)\n else:\n last_job_timeout = None\n\n def sighandler_shutdown(signum, frame):\n logger.info('Caught signal %i, shutting down.' % signum)\n raise Shutdown(signum)\n\n def sighandler_wait_quit(signum, frame):\n logger.info('Caught signal %i, shutting down.' % signum)\n raise WaitQuit(signum)\n\n signal.signal(signal.SIGINT, sighandler_shutdown)\n signal.signal(signal.SIGHUP, sighandler_shutdown)\n signal.signal(signal.SIGTERM, sighandler_shutdown)\n signal.signal(signal.SIGUSR1, sighandler_wait_quit)\n\n if N > 1:\n proc = None\n cons_errs = 0\n if last_job_timeout and time.time() > last_job_timeout:\n logger.info(\"Exiting due to last_job_timeout\")\n return\n\n while N and cons_errs < int(options.max_consecutive_failures):\n try:\n # recursive Popen, dropping N from the argv\n # By using another process to run this job\n # we protect ourselves from memory leaks, bad cleanup\n # and other annoying details.\n # The tradeoff is that a large dataset must be reloaded once for\n # each subprocess.\n sub_argv = [sys.argv[0],\n '--poll-interval=%s' % options.poll_interval,\n '--max-jobs=1',\n '--mongo=%s' % options.mongo,\n '--reserve-timeout=%s' % options.reserve_timeout]\n if options.workdir is not None:\n sub_argv.append('--workdir=%s' % options.workdir)\n if options.exp_key is not None:\n sub_argv.append('--exp-key=%s' % options.exp_key)\n proc = subprocess.Popen(sub_argv)\n retcode = proc.wait()\n proc = None\n\n except Shutdown:\n #this is the normal way to stop the infinite loop (if originally N=-1)\n if proc:\n #proc.terminate() is only available as of 2.6\n os.kill(proc.pid, signal.SIGTERM)\n return proc.wait()\n else:\n return 0\n\n except WaitQuit:\n # -- sending SIGUSR1 to a looping process will cause it to\n # break out of the loop after the current subprocess finishes\n # normally.\n if proc:\n return proc.wait()\n else:\n return 0\n\n if retcode != 0:\n cons_errs += 1\n else:\n cons_errs = 0\n N -= 1\n logger.info(\"exiting with N=%i after %i consecutive exceptions\" %(\n N, cons_errs))\n elif N == 1:\n # XXX: the name of the jobs collection is a parameter elsewhere,\n # so '/jobs' should not be hard-coded here\n mj = MongoJobs.new_from_connection_str(\n as_mongo_str(options.mongo) + '/jobs')\n\n mworker = MongoWorker(mj,\n float(options.poll_interval),\n workdir=options.workdir,\n exp_key=options.exp_key)\n mworker.run_one(reserve_timeout=float(options.reserve_timeout))\n else:\n raise ValueError(\"N <= 0\")", "metadata": "root.main_worker_helper", "header": "['module', '___EOS___']", "index": 1165 }, { "content": "def main_worker():\n parser = optparse.OptionParser(usage=\"%prog [options]\")\n\n parser.add_option(\"--exp-key\",\n dest='exp_key',\n default = None,\n metavar='str',\n help=\"identifier for this workers's jobs\")\n parser.add_option(\"--last-job-timeout\",\n dest='last_job_timeout',\n metavar='T',\n default=None,\n help=\"Do not reserve a job after T seconds have passed\")\n parser.add_option(\"--max-consecutive-failures\",\n dest=\"max_consecutive_failures\",\n metavar='N',\n default=4,\n help=\"stop if N consecutive jobs fail (default: 4)\")\n parser.add_option(\"--max-jobs\",\n dest='max_jobs',\n default=sys.maxint,\n help=\"stop after running this many jobs (default: inf)\")\n parser.add_option(\"--mongo\",\n dest='mongo',\n default='localhost/hyperopt',\n help=\"<host>[:port]/<db> for IPC and job storage\")\n parser.add_option(\"--poll-interval\",\n dest='poll_interval',\n metavar='N',\n default=5,\n help=\"check work queue every 1 < T < N seconds (default: 5\")\n parser.add_option(\"--reserve-timeout\",\n dest='reserve_timeout',\n metavar='T',\n default=120.0,\n help=\"poll database for up to T seconds to reserve a job\")\n parser.add_option(\"--workdir\",\n dest=\"workdir\",\n default=None,\n help=\"root workdir (default: load from mongo)\",\n metavar=\"DIR\")\n\n (options, args) = parser.parse_args()\n\n if args:\n parser.print_help()\n return -1\n\n return main_worker_helper(options, args)", "metadata": "root.main_worker", "header": "['module', '___EOS___']", "index": 1253 } ]
[ { "span": "import hashlib", "start_line": 101, "start_column": 0, "end_line": 101, "end_column": 14 }, { "span": "import shutil", "start_line": 105, "start_column": 0, "end_line": 105, "end_column": 13 }, { "span": "import plotting", "start_line": 136, "start_column": 0, "end_line": 136, "end_column": 15 } ]
[]
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Variable defined multiple times
mne-tools/mne-python/mne/time_frequency/tests/test_tfr.py
[ { "content": "def test_time_frequency():\n \"\"\"Test time frequency transform (PSD and phase lock)\n \"\"\"\n # Set parameters\n event_id = 1\n tmin = -0.2\n tmax = 0.498 # Allows exhaustive decimation testing\n\n # Setup for reading the raw data\n raw = io.read_raw_fif(raw_fname)\n events = read_events(event_fname)\n\n include = []\n exclude = raw.info['bads'] + ['MEG 2443', 'EEG 053'] # bads + 2 more\n\n # picks MEG gradiometers\n picks = pick_types(raw.info, meg='grad', eeg=False,\n stim=False, include=include, exclude=exclude)\n\n picks = picks[:2]\n epochs = Epochs(raw, events, event_id, tmin, tmax, picks=picks,\n baseline=(None, 0))\n data = epochs.get_data()\n times = epochs.times\n nave = len(data)\n\n epochs_nopicks = Epochs(raw, events, event_id, tmin, tmax,\n baseline=(None, 0))\n\n freqs = np.arange(6, 20, 5) # define frequencies of interest\n n_cycles = freqs / 4.\n\n # Test first with a single epoch\n power, itc = tfr_morlet(epochs[0], freqs=freqs, n_cycles=n_cycles,\n use_fft=True, return_itc=True)\n # Now compute evoked\n evoked = epochs.average()\n power_evoked = tfr_morlet(evoked, freqs, n_cycles, use_fft=True,\n return_itc=False)\n assert_raises(ValueError, tfr_morlet, evoked, freqs, 1., return_itc=True)\n power, itc = tfr_morlet(epochs, freqs=freqs, n_cycles=n_cycles,\n use_fft=True, return_itc=True)\n # Test picks argument\n power_picks, itc_picks = tfr_morlet(epochs_nopicks, freqs=freqs,\n n_cycles=n_cycles, use_fft=True,\n return_itc=True, picks=picks)\n # the actual data arrays here are equivalent, too...\n assert_array_almost_equal(power.data, power_picks.data)\n assert_array_almost_equal(itc.data, itc_picks.data)\n assert_array_almost_equal(power.data, power_evoked.data)\n\n print(itc) # test repr\n print(itc.ch_names) # test property\n itc += power # test add\n itc -= power # test add\n\n power.apply_baseline(baseline=(-0.1, 0), mode='logratio')\n\n assert_true('meg' in power)\n assert_true('grad' in power)\n assert_false('mag' in power)\n assert_false('eeg' in power)\n\n assert_equal(power.nave, nave)\n assert_equal(itc.nave, nave)\n assert_true(power.data.shape == (len(picks), len(freqs), len(times)))\n assert_true(power.data.shape == itc.data.shape)\n assert_true(np.sum(itc.data >= 1) == 0)\n assert_true(np.sum(itc.data <= 0) == 0)\n\n # grand average\n itc2 = itc.copy()\n itc2.info['bads'] = [itc2.ch_names[0]] # test channel drop\n gave = grand_average([itc2, itc])\n assert_equal(gave.data.shape, (itc2.data.shape[0] - 1,\n itc2.data.shape[1],\n itc2.data.shape[2]))\n assert_equal(itc2.ch_names[1:], gave.ch_names)\n assert_equal(gave.nave, 2)\n itc2.drop_channels(itc2.info[\"bads\"])\n assert_array_almost_equal(gave.data, itc2.data)\n itc2.data = np.ones(itc2.data.shape)\n itc.data = np.zeros(itc.data.shape)\n itc2.nave = 2\n itc.nave = 1\n itc.drop_channels([itc.ch_names[0]])\n combined_itc = combine_tfr([itc2, itc])\n assert_array_almost_equal(combined_itc.data,\n np.ones(combined_itc.data.shape) * 2 / 3)\n\n # more tests\n power, itc = tfr_morlet(epochs, freqs=freqs, n_cycles=2, use_fft=False,\n return_itc=True)\n\n assert_true(power.data.shape == (len(picks), len(freqs), len(times)))\n assert_true(power.data.shape == itc.data.shape)\n assert_true(np.sum(itc.data >= 1) == 0)\n assert_true(np.sum(itc.data <= 0) == 0)\n\n Fs = raw.info['sfreq'] # sampling in Hz\n tfr = cwt_morlet(data[0], Fs, freqs, use_fft=True, n_cycles=2)\n assert_true(tfr.shape == (len(picks), len(freqs), len(times)))\n\n single_power = single_trial_power(data, Fs, freqs, use_fft=False,\n n_cycles=2)\n\n assert_array_almost_equal(np.mean(single_power), power.data)\n\n power_pick = power.pick_channels(power.ch_names[:10:2])\n assert_equal(len(power_pick.ch_names), len(power.ch_names[:10:2]))\n assert_equal(power_pick.data.shape[0], len(power.ch_names[:10:2]))\n power_drop = power.drop_channels(power.ch_names[1:10:2])\n assert_equal(power_drop.ch_names, power_pick.ch_names)\n assert_equal(power_pick.data.shape[0], len(power_drop.ch_names))\n\n mne.equalize_channels([power_pick, power_drop])\n assert_equal(power_pick.ch_names, power_drop.ch_names)\n assert_equal(power_pick.data.shape, power_drop.data.shape)\n\n # Test decimation:\n # 2: multiple of len(times) even\n # 3: multiple odd\n # 8: not multiple, even\n # 9: not multiple, odd\n for decim in [2, 3, 8, 9]:\n for use_fft in [True, False]:\n power, itc = tfr_morlet(epochs, freqs=freqs, n_cycles=2,\n use_fft=use_fft, return_itc=True,\n decim=decim)\n assert_equal(power.data.shape[2],\n np.ceil(float(len(times)) / decim))\n freqs = range(50, 55)\n decim = 2\n _, n_chan, n_time = data.shape\n tfr = cwt_morlet(data[0, :, :], sfreq=epochs.info['sfreq'],\n freqs=freqs, decim=decim)\n assert_equal(tfr.shape, (n_chan, len(freqs), n_time // decim))\n\n # Test cwt modes\n Ws = morlet(512, [10, 20], n_cycles=2)\n assert_raises(ValueError, cwt, data[0, :, :], Ws, mode='foo')\n for use_fft in [True, False]:\n for mode in ['same', 'valid', 'full']:\n # XXX JRK: full wavelet decomposition needs to be implemented\n if (not use_fft) and mode == 'full':\n assert_raises(ValueError, cwt, data[0, :, :], Ws,\n use_fft=use_fft, mode=mode)\n continue\n cwt(data[0, :, :], Ws, use_fft=use_fft, mode=mode)", "metadata": "root.test_time_frequency", "header": "['module', '___EOS___']", "index": 33 } ]
[ { "span": "power,", "start_line": 66, "start_column": 4, "end_line": 66, "end_column": 9 }, { "span": "itc ", "start_line": 66, "start_column": 11, "end_line": 66, "end_column": 14 } ]
[ { "span": "power,", "start_line": 73, "start_column": 4, "end_line": 73, "end_column": 9 }, { "span": "itc ", "start_line": 73, "start_column": 11, "end_line": 73, "end_column": 14 } ]
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Unused import
RamaneekGill/Emotion-Recognition-/NeuralNetwork.py
[ { "content": "from __future__ import division\nimport matplotlib.pyplot as plt\nimport tensorflow as tf\nimport numpy as np\nimport heapq\nimport pylab\nimport time\n\n### Used this source as reference material:\n# https://github.com/nlintz/TensorFlow-Tutorials/blob/master/5_convolutional_net.py\n\n\n\nif __name__ == \"__main__\":\n\ttop_3_validation_accuracies = []\n\tnum_hidden_units_intervals = [5, 10, 25, 50, 100, 200, 400]\n\tdecay_intervals = [0.9, 0.6, 0.3, 0.1]\n\tretain_input_intervals = [0.9, 0.6, 0.3, 0.1]\n\tretain_hidden_intervals = [0.9, 0.6, 0.3, 0.1]\n\n\taccuracies = testNetwork(100, 0.4, 0.3, 0.3)\n\tprint(accuracies)\n\texit()\n\n\titeration = 0\n\tfor num_hidden_units in num_hidden_units_intervals:\n\t\tfor decay in decay_intervals:\n\t\t\tfor retain_input in retain_input_intervals:\n\t\t\t\tfor retain_hidden in retain_hidden_intervals:\n\t\t\t\t\titeration += 1\n\t\t\t\t\taccuracies = testNetwork(num_hidden_units, decay, retain_input, retain_hidden)\n\t\t\t\t\ttop_3_validation_accuracies.append(accuracies)\n\t\t\t\t\tprint(\"hidden units: {} \\t decay: {} \\t retain input: {} \\t retain hidden: {}\"\n\t\t\t\t\t\t.format(num_hidden_units, decay, retain_input, retain_hidden))\n\t\t\t\t\tprint(iteration, accuracies)\n\n\n\tprint(\"THESE ARE THE FINAL ACCURACIES\")\n\tprint(accuracies)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def testNetwork(num_hidden_units, decay, retain_input, retain_hidden):\n\timport input_data\n\tdatasets = input_data.read_data_sets()\n\n\tNUM_PIXELS = datasets.train_set.inputs().shape[1]\n\tNUM_CLASSES = datasets.train_set.targets().shape[1]\n\n\t### Setup input pipelines\n\tx = tf.placeholder(tf.float32, [None, NUM_PIXELS])\n\ty = tf.placeholder(tf.float32, [None, NUM_CLASSES])\n\n\t# The hyperparameters of the model\n\tNUM_HIDDEN_UNITS = num_hidden_units\n\tLEARNING_RATE = 0.005\n\tDECAY = decay\n\tMOMENTUM = 0.1\n\tEPOCHS = 3000\n\tBATCH_SIZE = 100\n\tRETAIN_INPUT = retain_input\n\tRETAIN_HIDDEN = retain_hidden\n\n\t### Construct model\n\thidden_layer_1_weights = tf.Variable(tf.random_normal([NUM_PIXELS, NUM_HIDDEN_UNITS], stddev=0.01))\n\thidden_layer_2_weights = tf.Variable(tf.random_normal([NUM_HIDDEN_UNITS, NUM_HIDDEN_UNITS], stddev=0.01))\n\toutput_layer_weights = tf.Variable(tf.random_normal([NUM_HIDDEN_UNITS, NUM_CLASSES], stddev=0.01))\n\n\tp_retain_input = tf.placeholder(tf.float32)\n\tp_retain_hidden = tf.placeholder(tf.float32)\n\n\tx = tf.nn.dropout(x, p_retain_input) # use dropout training\n\n\thidden_layer_1 = tf.nn.relu(tf.matmul(x, hidden_layer_1_weights))\n\thidden_layer_1 = tf.nn.dropout(hidden_layer_1, p_retain_hidden) # use dropout training\n\n\thidden_layer_2 = tf.nn.softmax(tf.matmul(hidden_layer_1, hidden_layer_2_weights))\n\thidden_layer_2 = tf.nn.dropout(hidden_layer_2, p_retain_hidden) # use dropout training\n\n\tmodel = tf.matmul(hidden_layer_2, output_layer_weights)\n\n\t# Define the learning process\n\tcost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(model, y))\n\toptimizer = tf.train.RMSPropOptimizer(LEARNING_RATE, DECAY).minimize(cost)\n\tcorrect_prediction = tf.equal(tf.argmax(model, 1), tf.argmax(y, 1))\n\taccuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n\n\t# train_x = datasets.train_set.inputs()\n\t# train_y = datasets.train_set.targets()\n\t# print(train_x.shape, train_y.shape)\n\t# print(train_x)\n\t# print('sdfsdfs')\n\t# print(train_y)\n\t# exit()\n\n\t# Create a session and initialize all variables\n\tprint('Starting session')\n\tsess = tf.Session()\n\tinit = tf.initialize_all_variables()\n\tsess.run(init)\n\tavg_cost = 0.0\n\n\ttrain_accuracies = []\n\tvalidation_accuracies = []\n\n\t# Train the model\n\tfor epoch in range(EPOCHS):\n\t\tnum_batches = int(datasets.train_set.num_examples() / BATCH_SIZE)\n\t\tfor batch in range(num_batches):\n\t\t\tbatch_xs, batch_ys = datasets.train_set.next_batch(BATCH_SIZE)\n\t\t\tsess.run(optimizer, feed_dict={x: batch_xs, y: batch_ys, p_retain_input: RETAIN_INPUT, p_retain_hidden: RETAIN_HIDDEN})\n\t\t\tavg_cost += sess.run(cost, feed_dict={x: batch_xs, y: batch_ys, p_retain_input: RETAIN_INPUT, p_retain_hidden: RETAIN_HIDDEN}) / num_batches\n\t\t# print avg_cost\n\n\t\t# Print the accuracies on training and validation sets\n\t\ttrain_accuracy = sess.run(accuracy, feed_dict={x: datasets.train_set.inputs(), y: datasets.train_set.targets(), p_retain_input: 1, p_retain_hidden: 1})\n\t\ttrain_accuracies.append(train_accuracy)\n\t\tvalidation_accuracy = sess.run(accuracy, feed_dict={x: datasets.validation_set.inputs(), y: datasets.validation_set.targets(), p_retain_input: 1, p_retain_hidden: 1})\n\t\tvalidation_accuracies.append(validation_accuracy)\n\t\t# if epoch % 100 == 0:\n\t\tprint(\"Epoch: {} \\t Train accuracy: {} \\t Validation accuracy: {}\".format(epoch, train_accuracy, validation_accuracy))\n\n\treturn heapq.nlargest(3, np.array(validation_accuracies))", "metadata": "root.testNetwork", "header": "['module', '___EOS___']", "index": 11 } ]
[ { "span": "import matplotlib.pyplot as plt", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 31 }, { "span": "import pylab", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 12 }, { "span": "import time", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 11 } ]
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Unused local variable
soimort/you-get/src/you_get/extractors/yixia.py
[ { "content": "def yixia_download(url, output_dir = '.', merge = True, info_only = False, **kwargs):\n \"\"\"wrapper\"\"\"\n hostname = urlparse(url).hostname\n if 'miaopai.com' in hostname: #Miaopai\n yixia_download_by_scid = yixia_miaopai_download_by_scid\n site_info = \"Yixia Miaopai\"\n \n if re.match(r'http://www.miaopai.com/show/channel/\\w+', url): #PC\n scid = match1(url, r'http://www.miaopai.com/show/channel/(.+)\\.htm')\n elif re.match(r'http://www.miaopai.com/show/\\w+', url): #PC\n scid = match1(url, r'http://www.miaopai.com/show/(.+)\\.htm')\n elif re.match(r'http://m.miaopai.com/show/channel/\\w+', url): #Mobile\n scid = match1(url, r'http://m.miaopai.com/show/channel/(.+)\\.htm')\n \n elif 'xiaokaxiu.com' in hostname: #Xiaokaxiu\n yixia_download_by_scid = yixia_xiaokaxiu_download_by_scid\n site_info = \"Yixia Xiaokaxiu\"\n \n if re.match(r'http://v.xiaokaxiu.com/v/.+\\.html', url): #PC\n scid = match1(url, r'http://v.xiaokaxiu.com/v/(.+)\\.html')\n elif re.match(r'http://m.xiaokaxiu.com/m/.+\\.html', url): #Mobile\n scid = match1(url, r'http://m.xiaokaxiu.com/m/(.+)\\.html')\n\n else:\n pass\n \n yixia_download_by_scid(scid, output_dir, merge, info_only)", "metadata": "root.yixia_download", "header": "['module', '___EOS___']", "index": 46 } ]
[ { "span": "site_info ", "start_line": 51, "start_column": 8, "end_line": 51, "end_column": 17 }, { "span": "site_info ", "start_line": 62, "start_column": 8, "end_line": 62, "end_column": 17 } ]
[]
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Unused import
SheffieldML/GPy/GPy/likelihoods/gamma.py
[ { "content": "# Copyright (c) 2012 - 2014, GPy authors (see AUTHORS.txt).\n# Licensed under the BSD 3-clause license (see LICENSE.txt)\n\n\nimport numpy as np\nfrom scipy import stats,special\nimport scipy as sp\nfrom ..core.parameterization import Param\nfrom . import link_functions\nfrom .likelihood import Likelihood\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Gamma(Likelihood):\n \"\"\"\n Gamma likelihood\n\n .. math::\n p(y_{i}|\\\\lambda(f_{i})) = \\\\frac{\\\\beta^{\\\\alpha_{i}}}{\\\\Gamma(\\\\alpha_{i})}y_{i}^{\\\\alpha_{i}-1}e^{-\\\\beta y_{i}}\\\\\\\\\n \\\\alpha_{i} = \\\\beta y_{i}\n\n \"\"\"\n\n\n\n\n", "metadata": "root.Gamma", "header": "['module', '___EOS___']", "index": 11 }, { "content": " def __init__(self,gp_link=None,beta=1.):\n if gp_link is None:\n gp_link = link_functions.Log()\n super(Gamma, self).__init__(gp_link, 'Gamma')\n\n self.beta = Param('beta', beta)\n self.link_parameter(self.beta)\n self.beta.fix()#TODO: gradients!", "metadata": "root.Gamma.__init__", "header": "['class', 'Gamma', '(', 'Likelihood', ')', ':', '___EOS___']", "index": 20 }, { "content": " def pdf_link(self, link_f, y, Y_metadata=None):\n \"\"\"\n Likelihood function given link(f)\n\n .. math::\n p(y_{i}|\\\\lambda(f_{i})) = \\\\frac{\\\\beta^{\\\\alpha_{i}}}{\\\\Gamma(\\\\alpha_{i})}y_{i}^{\\\\alpha_{i}-1}e^{-\\\\beta y_{i}}\\\\\\\\\n \\\\alpha_{i} = \\\\beta y_{i}\n\n :param link_f: latent variables link(f)\n :type link_f: Nx1 array\n :param y: data\n :type y: Nx1 array\n :param Y_metadata: Y_metadata which is not used in poisson distribution\n :returns: likelihood evaluated for this point\n :rtype: float\n \"\"\"\n assert np.atleast_1d(link_f).shape == np.atleast_1d(y).shape\n #return stats.gamma.pdf(obs,a = self.gp_link.transf(gp)/self.variance,scale=self.variance)\n alpha = link_f*self.beta\n objective = (y**(alpha - 1.) * np.exp(-self.beta*y) * self.beta**alpha)/ special.gamma(alpha)\n return np.exp(np.sum(np.log(objective)))", "metadata": "root.Gamma.pdf_link", "header": "['class', 'Gamma', '(', 'Likelihood', ')', ':', '___EOS___']", "index": 29 }, { "content": " def logpdf_link(self, link_f, y, Y_metadata=None):\n \"\"\"\n Log Likelihood Function given link(f)\n\n .. math::\n \\\\ln p(y_{i}|\\lambda(f_{i})) = \\\\alpha_{i}\\\\log \\\\beta - \\\\log \\\\Gamma(\\\\alpha_{i}) + (\\\\alpha_{i} - 1)\\\\log y_{i} - \\\\beta y_{i}\\\\\\\\\n \\\\alpha_{i} = \\\\beta y_{i}\n\n :param link_f: latent variables (link(f))\n :type link_f: Nx1 array\n :param y: data\n :type y: Nx1 array\n :param Y_metadata: Y_metadata which is not used in poisson distribution\n :returns: likelihood evaluated for this point\n :rtype: float\n\n \"\"\"\n #alpha = self.gp_link.transf(gp)*self.beta\n #return (1. - alpha)*np.log(obs) + self.beta*obs - alpha * np.log(self.beta) + np.log(special.gamma(alpha))\n alpha = link_f*self.beta\n log_objective = alpha*np.log(self.beta) - np.log(special.gamma(alpha)) + (alpha - 1)*np.log(y) - self.beta*y\n return log_objective", "metadata": "root.Gamma.logpdf_link", "header": "['class', 'Gamma', '(', 'Likelihood', ')', ':', '___EOS___']", "index": 51 }, { "content": " def dlogpdf_dlink(self, link_f, y, Y_metadata=None):\n \"\"\"\n Gradient of the log likelihood function at y, given link(f) w.r.t link(f)\n\n .. math::\n \\\\frac{d \\\\ln p(y_{i}|\\\\lambda(f_{i}))}{d\\\\lambda(f)} = \\\\beta (\\\\log \\\\beta y_{i}) - \\\\Psi(\\\\alpha_{i})\\\\beta\\\\\\\\\n \\\\alpha_{i} = \\\\beta y_{i}\n\n :param link_f: latent variables (f)\n :type link_f: Nx1 array\n :param y: data\n :type y: Nx1 array\n :param Y_metadata: Y_metadata which is not used in gamma distribution\n :returns: gradient of likelihood evaluated at points\n :rtype: Nx1 array\n\n \"\"\"\n grad = self.beta*np.log(self.beta*y) - special.psi(self.beta*link_f)*self.beta\n #old\n #return -self.gp_link.dtransf_df(gp)*self.beta*np.log(obs) + special.psi(self.gp_link.transf(gp)*self.beta) * self.gp_link.dtransf_df(gp)*self.beta\n return grad", "metadata": "root.Gamma.dlogpdf_dlink", "header": "['class', 'Gamma', '(', 'Likelihood', ')', ':', '___EOS___']", "index": 74 }, { "content": " def d2logpdf_dlink2(self, link_f, y, Y_metadata=None):\n \"\"\"\n Hessian at y, given link(f), w.r.t link(f)\n i.e. second derivative logpdf at y given link(f_i) and link(f_j) w.r.t link(f_i) and link(f_j)\n The hessian will be 0 unless i == j\n\n .. math::\n \\\\frac{d^{2} \\\\ln p(y_{i}|\\lambda(f_{i}))}{d^{2}\\\\lambda(f)} = -\\\\beta^{2}\\\\frac{d\\\\Psi(\\\\alpha_{i})}{d\\\\alpha_{i}}\\\\\\\\\n \\\\alpha_{i} = \\\\beta y_{i}\n\n :param link_f: latent variables link(f)\n :type link_f: Nx1 array\n :param y: data\n :type y: Nx1 array\n :param Y_metadata: Y_metadata which is not used in gamma distribution\n :returns: Diagonal of hessian matrix (second derivative of likelihood evaluated at points f)\n :rtype: Nx1 array\n\n .. Note::\n Will return diagonal of hessian, since every where else it is 0, as the likelihood factorizes over cases\n (the distribution for y_i depends only on link(f_i) not on link(f_(j!=i))\n \"\"\"\n hess = -special.polygamma(1, self.beta*link_f)*(self.beta**2)\n #old\n #return -self.gp_link.d2transf_df2(gp)*self.beta*np.log(obs) + special.polygamma(1,self.gp_link.transf(gp)*self.beta)*(self.gp_link.dtransf_df(gp)*self.beta)**2 + special.psi(self.gp_link.transf(gp)*self.beta)*self.gp_link.d2transf_df2(gp)*self.beta\n return hess", "metadata": "root.Gamma.d2logpdf_dlink2", "header": "['class', 'Gamma', '(', 'Likelihood', ')', ':', '___EOS___']", "index": 96 }, { "content": " def d3logpdf_dlink3(self, link_f, y, Y_metadata=None):\n \"\"\"\n Third order derivative log-likelihood function at y given link(f) w.r.t link(f)\n\n .. math::\n \\\\frac{d^{3} \\\\ln p(y_{i}|\\lambda(f_{i}))}{d^{3}\\\\lambda(f)} = -\\\\beta^{3}\\\\frac{d^{2}\\\\Psi(\\\\alpha_{i})}{d\\\\alpha_{i}}\\\\\\\\\n \\\\alpha_{i} = \\\\beta y_{i}\n\n :param link_f: latent variables link(f)\n :type link_f: Nx1 array\n :param y: data\n :type y: Nx1 array\n :param Y_metadata: Y_metadata which is not used in gamma distribution\n :returns: third derivative of likelihood evaluated at points f\n :rtype: Nx1 array\n \"\"\"\n d3lik_dlink3 = -special.polygamma(2, self.beta*link_f)*(self.beta**3)\n return d3lik_dlink3", "metadata": "root.Gamma.d3logpdf_dlink3", "header": "['class', 'Gamma', '(', 'Likelihood', ')', ':', '___EOS___']", "index": 123 } ]
[ { "span": "from scipy import stats,special", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 31 }, { "span": "import scipy as sp", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 18 } ]
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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Incomplete ordering
circuits/circuits/circuits/web/headers.py
[ { "content": "class HeaderElement(object):\n\n \"\"\"An element (with parameters) from an HTTP header's element list.\"\"\"\n\n\n\n\n\n\n\n parse = staticmethod(parse)\n", "metadata": "root.HeaderElement", "header": "['module', '___EOS___']", "index": 51 }, { "content": " def __init__(self, value, params=None):\n self.value = value\n if params is None:\n params = {}\n self.params = params", "metadata": "root.HeaderElement.__init__", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 55 }, { "content": " def __eq__(self, other):\n return self.value == other.value", "metadata": "root.HeaderElement.__eq__", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 61 }, { "content": " def __lt__(self, other):\n return self.value < other.value", "metadata": "root.HeaderElement.__lt__", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 64 }, { "content": " def __str__(self):\n p = [\";%s=%s\" % (k, v) for k, v in iteritems(self.params)]\n return \"%s%s\" % (self.value, \"\".join(p))", "metadata": "root.HeaderElement.__str__", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 67 }, { "content": " def __bytes__(self):\n return b(self.__str__())", "metadata": "root.HeaderElement.__bytes__", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 71 }, { "content": " def __unicode__(self):\n return u(self.__str__())", "metadata": "root.HeaderElement.__unicode__", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 74 }, { "content": " def parse(elementstr):\n \"\"\"Transform 'token;key=val' to ('token', {'key': 'val'}).\"\"\"\n # Split the element into a value and parameters. The 'value' may\n # be of the form, \"token=token\", but we don't split that here.\n atoms = [x.strip() for x in elementstr.split(\";\") if x.strip()]\n if not atoms:\n initial_value = ''\n else:\n initial_value = atoms.pop(0).strip()\n params = {}\n for atom in atoms:\n atom = [x.strip() for x in atom.split(\"=\", 1) if x.strip()]\n key = atom.pop(0)\n if atom:\n val = atom[0]\n else:\n val = \"\"\n params[key] = val\n return initial_value, params", "metadata": "root.HeaderElement.parse", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 77 }, { "content": " @classmethod\n def from_str(cls, elementstr):\n \"\"\"Construct an instance from a string of the form 'token;key=val'.\"\"\"\n ival, params = cls.parse(elementstr)\n return cls(ival, params)", "metadata": "root.HeaderElement.from_str", "header": "['class', 'HeaderElement', '(', 'object', ')', ':', '___EOS___']", "index": 98 }, { "content": "class AcceptElement(HeaderElement):\n\n \"\"\"An element (with parameters) from an Accept* header's element list.\n\n AcceptElement objects are comparable; the more-preferred object will be\n \"less than\" the less-preferred object. They are also therefore sortable;\n if you sort a list of AcceptElement objects, they will be listed in\n priority order; the most preferred value will be first. Yes, it should\n have been the other way around, but it's too late to fix now.\n \"\"\"\n\n\n qvalue = property(qvalue, doc=\"The qvalue, or priority, of this value.\")\n\n", "metadata": "root.AcceptElement", "header": "['module', '___EOS___']", "index": 105 }, { "content": " @classmethod\n def from_str(cls, elementstr):\n qvalue = None\n # The first \"q\" parameter (if any) separates the initial\n # media-range parameter(s) (if any) from the accept-params.\n atoms = q_separator.split(elementstr, 1)\n media_range = atoms.pop(0).strip()\n if atoms:\n # The qvalue for an Accept header can have extensions. The other\n # headers cannot, but it's easier to parse them as if they did.\n qvalue = HeaderElement.from_str(atoms[0].strip())\n\n media_type, params = cls.parse(media_range)\n if qvalue is not None:\n params[\"q\"] = qvalue\n return cls(media_type, params)", "metadata": "root.AcceptElement.from_str", "header": "['class', 'AcceptElement', '(', 'HeaderElement', ')', ':', '___EOS___']", "index": 116 }, { "content": " def qvalue(self):\n val = self.params.get(\"q\", \"1\")\n if isinstance(val, HeaderElement):\n val = val.value\n return float(val)", "metadata": "root.AcceptElement.qvalue", "header": "['class', 'AcceptElement', '(', 'HeaderElement', ')', ':', '___EOS___']", "index": 133 }, { "content": " def __eq__(self, other):\n return self.qvalue == other.qvalue", "metadata": "root.AcceptElement.__eq__", "header": "['class', 'AcceptElement', '(', 'HeaderElement', ')', ':', '___EOS___']", "index": 140 }, { "content": " def __lt__(self, other):\n if self.qvalue == other.qvalue:\n return str(self) < str(other)\n else:\n return self.qvalue < other.qvalue", "metadata": "root.AcceptElement.__lt__", "header": "['class', 'AcceptElement', '(', 'HeaderElement', ')', ':', '___EOS___']", "index": 143 } ]
[ { "span": "class HeaderElement(object):", "start_line": 51, "start_column": 0, "end_line": 51, "end_column": 28 }, { "span": "class AcceptElement(HeaderElement):", "start_line": 105, "start_column": 0, "end_line": 105, "end_column": 35 } ]
[ { "span": "def __lt__(self, other):", "start_line": 64, "start_column": 4, "end_line": 64, "end_column": 28 }, { "span": "def __lt__(self, other):", "start_line": 143, "start_column": 4, "end_line": 143, "end_column": 28 } ]
1
false
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Unused import
django-bmf/django-bmf/tests/document/tests.py
[ { "content": "#!/usr/bin/python\n# ex:set fileencoding=utf-8:\n# flake8: noqa\n\nfrom __future__ import unicode_literals\n\nfrom django.test import LiveServerTestCase\nfrom django.core.urlresolvers import reverse\nfrom django.contrib.contenttypes.models import ContentType\n\nfrom djangobmf.models import Report\nfrom djangobmf.models import Document\nfrom djangobmf.utils.testcases import BaseTestCase\n\n\n\n# def test_history_files(self):\n# \"\"\"\n# \"\"\"\n\n# self.model = get_model_from_cfg(\"PROJECT\")\n# self.autotest_ajax_post(\n# 'create',\n# kwargs={'key': 'default'},\n# data={\n# 'customer': 1,\n# 'name': \"Testproject\",\n# 'employee': 1,\n# },\n# )\n\n# model = get_model_from_cfg(\"PROJECT\")\n\n# obj = model.objects.order_by('pk').last()\n# ct = ContentType.objects.get_for_model(model)\n\n# r = self.client.get(reverse('djangobmf:document-add', None, None, {'pk': obj.pk, 'ct': ct.pk}))\n# self.assertEqual(r.status_code, 302)\n\n# r = self.client.post(reverse('djangobmf:document-add', None, None, {'pk': obj.pk, 'ct': ct.pk}), {})\n# self.assertEqual(r.status_code, 302)\n\n# file = open('README.rst', 'rb')\n# r = self.client.post(reverse('djangobmf:file_add', None, None, {'pk': obj.pk, 'ct': ct.pk}), {\n# 'file': file,\n# })\n# self.assertEqual(r.status_code, 302)\n# file.close()\n \n# # now, we should have one file connected to our object\n# query = Document.objects.filter(content_type=ct, content_id=obj.pk)\n# self.assertEqual(int(query.count()), 1)\n# # cleanup\n# for obj in query:\n# obj.file.delete()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class CoreTests(BaseTestCase):\n pass", "metadata": "root.CoreTests", "header": "['module', '___EOS___']", "index": 15 } ]
[ { "span": "from django.test import LiveServerTestCase", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 42 }, { "span": "from django.core.urlresolvers import reverse", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 44 }, { "span": "from django.contrib.contenttypes.models import ContentType", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 58 }, { "span": "from djangobmf.models import Report", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 35 }, { "span": "from djangobmf.models import Document", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 37 } ]
[]
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Imprecise assert
OpenMDAO/OpenMDAO/openmdao/core/test/test_component.py
[ { "content": " def test_add_params(self):\n self.comp.add_param(\"x\", 0.0)\n self.comp.add_param(\"y\", 0.0)\n self.comp.add_param(\"z\", shape=(1, ))\n self.comp.add_param(\"t\", shape=2)\n self.comp.add_param(\"u\", shape=1)\n\n # This should no longer raise an error\n self.comp.add_param(\"w\")\n\n prob = Problem()\n self.comp._init_sys_data('', prob._probdata)\n params, unknowns = self.comp._setup_variables()\n\n self.assertEqual([\"x\", \"y\", \"z\", \"t\", \"u\", 'w'], list(params.keys()))\n\n self.assertEqual(params[\"x\"], {'shape': 1, 'pathname': 'x', 'val': 0.0, 'size': 1})\n self.assertEqual(params[\"y\"], {'shape': 1, 'pathname': 'y', 'val': 0.0, 'size': 1})\n np.testing.assert_array_equal(params[\"z\"][\"val\"], np.zeros((1,)))\n np.testing.assert_array_equal(params[\"t\"][\"val\"], np.zeros((2,)))\n self.assertEqual(params[\"u\"], {'shape': 1, 'pathname': 'u', 'val': 0.0, 'size': 1})\n\n prob = Problem()\n root = prob.root = Group()\n root.add('comp', self.comp)\n\n with self.assertRaises(RuntimeError) as cm:\n prob.setup(check=False)\n\n self.assertTrue(\"Unconnected param 'comp.w' is missing a shape or default value.\" in str(cm.exception))", "metadata": "root.TestComponent.test_add_params", "header": "['class', 'TestComponent', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 138 }, { "content": " def test_add_var_pbo_check(self):\n p = Problem(root=Group())\n root = p.root\n root.add('C1', MyComp())\n root.add('C2', MyComp2())\n\n s = cStringIO()\n p.setup(out_stream=s)\n\n content = s.getvalue()\n self.assertTrue(\"The following variables are not differentiable but were \"\n \"not labeled by the user as pass_by_obj:\\n\"\n \"C1.x_int: type int\\n\"\n \"C2.x_list: type list\" in content)", "metadata": "root.TestComponent.test_add_var_pbo_check", "header": "['class', 'TestComponent', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 262 } ]
[ { "span": "self.assertTrue(\"Unconnected param 'comp.w' is missing a shape or default value.\" in str(cm.exception))", "start_line": 167, "start_column": 8, "end_line": 167, "end_column": 111 }, { "span": "self.assertTrue(\"The following variables are not differentiable but were \"\n \"not labeled by the user as pass_by_obj:\\n\"\n \"C1.x_int: type int\\n\"\n \"C2.x_list: type list\" in content)", "start_line": 272, "start_column": 8, "end_line": 275, "end_column": 58 } ]
[]
1
true
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Missing call to `__init__` during object initialization
Microsoft/ivy/src/ivy/ivy_ast.py
[ { "content": " def __init__(self,*args):\n self.args = args", "metadata": "root.AST.__init__", "header": "['class', 'AST', '(', 'object', ')', ':', '___EOS___']", "index": 16 }, { "content": "class Symbol(AST):", "metadata": "root.Symbol", "header": "['module', '___EOS___']", "index": 24 }, { "content": " def __init__(self,rep,sort):\n assert isinstance(rep,str)\n self.rep = rep\n self.sort = sort", "metadata": "root.Symbol.__init__", "header": "['class', 'Symbol', '(', 'AST', ')', ':', '___EOS___']", "index": 25 }, { "content": "class Formula(AST):\n \"\"\"\n Base class for formulas.\n \"\"\"", "metadata": "root.Formula", "header": "['module', '___EOS___']", "index": 40 }, { "content": " def __init__(self,*args):\n self.args = list(args) # make args mutable", "metadata": "root.Formula.__init__", "header": "['class', 'Formula', '(', 'AST', ')', ':', '___EOS___']", "index": 44 }, { "content": "class Not(Formula):\n \"\"\"\n Negation of a formula.\n \"\"\"", "metadata": "root.Not", "header": "['module', '___EOS___']", "index": 65 }, { "content": " def __init__(self,*args):\n assert len(args) == 1\n self.args = args", "metadata": "root.Not.__init__", "header": "['class', 'Not', '(', 'Formula', ')', ':', '___EOS___']", "index": 69 }, { "content": "class Let(Formula):\n \"\"\"\n Formula of the form let p(X,...,Z) <-> fmla[X,...,Z], ... in fmla\n \"\"\"", "metadata": "root.Let", "header": "['module', '___EOS___']", "index": 77 }, { "content": " def __init__(self,*args):\n assert len(args) >= 1\n self.args = args", "metadata": "root.Let.__init__", "header": "['class', 'Let', '(', 'Formula', ')', ':', '___EOS___']", "index": 81 }, { "content": "class Definition(Formula):\n \"\"\"\n Formula of the form p(X,...,Z) <-> fmla[X,...,Z]\n \"\"\"", "metadata": "root.Definition", "header": "['module', '___EOS___']", "index": 95 }, { "content": " def __init__(self,*args):\n assert len(args) == 2\n self.args = args", "metadata": "root.Definition.__init__", "header": "['class', 'Definition', '(', 'Formula', ')', ':', '___EOS___']", "index": 99 }, { "content": "class Implies(Formula):\n \"\"\"\n Implication of formulas\n \"\"\"", "metadata": "root.Implies", "header": "['module', '___EOS___']", "index": 111 }, { "content": " def __init__(self,*args):\n assert len(args) == 2\n self.args = args", "metadata": "root.Implies.__init__", "header": "['class', 'Implies', '(', 'Formula', ')', ':', '___EOS___']", "index": 115 }, { "content": "class Iff(Formula):\n \"\"\"\n Implication of formulas\n \"\"\"", "metadata": "root.Iff", "header": "['module', '___EOS___']", "index": 121 }, { "content": " def __init__(self,*args):\n assert len(args) == 2\n self.args = args", "metadata": "root.Iff.__init__", "header": "['class', 'Iff', '(', 'Formula', ')', ':', '___EOS___']", "index": 125 }, { "content": "class Ite(AST):\n \"\"\"\n If-the-else expression. \n \"\"\"", "metadata": "root.Ite", "header": "['module', '___EOS___']", "index": 131 }, { "content": " def __init__(self,*args):\n assert len(args) == 3\n self.args = args", "metadata": "root.Ite.__init__", "header": "['class', 'Ite', '(', 'AST', ')', ':', '___EOS___']", "index": 135 }, { "content": "class Quantifier(Formula):", "metadata": "root.Quantifier", "header": "['module', '___EOS___']", "index": 141 }, { "content": " def __init__(self, bounds, body):\n self.bounds = bounds\n self.args = [body]", "metadata": "root.Quantifier.__init__", "header": "['class', 'Quantifier', '(', 'Formula', ')', ':', '___EOS___']", "index": 142 }, { "content": "class Atom(Formula):\n \"\"\"\n A n-ary relation symbol applied to n terms\n \"\"\"\n # following for backward compat", "metadata": "root.Atom", "header": "['module', '___EOS___']", "index": 152 }, { "content": " def __init__(self, relsym, *terms):\n self.rep = relsym\n self.args = flatten(terms)", "metadata": "root.Atom.__init__", "header": "['class', 'Atom', '(', 'Formula', ')', ':', '___EOS___']", "index": 156 }, { "content": "class Old(Term):", "metadata": "root.Old", "header": "['module', '___EOS___']", "index": 196 }, { "content": " def __init__(self, term):\n self.args = [term]", "metadata": "root.Old.__init__", "header": "['class', 'Old', '(', 'Term', ')', ':', '___EOS___']", "index": 197 }, { "content": "class App(Term):", "metadata": "root.App", "header": "['module', '___EOS___']", "index": 202 }, { "content": " def __init__(self, funsym, *terms):\n self.rep = funsym\n self.args = flatten(terms)", "metadata": "root.App.__init__", "header": "['class', 'App', '(', 'Term', ')', ':', '___EOS___']", "index": 203 }, { "content": "class Variable(Term):", "metadata": "root.Variable", "header": "['module', '___EOS___']", "index": 229 }, { "content": " def __init__(self, rep, sort):\n assert isinstance(rep,str)\n# assert isinstance(sort,Sort)\n self.rep = rep\n self.args = []\n self.sort = sort", "metadata": "root.Variable.__init__", "header": "['class', 'Variable', '(', 'Term', ')', ':', '___EOS___']", "index": 230 }, { "content": "class Literal(AST):\n \"\"\"\n Either a positive or negative atomic formula. Literals are not\n formulas! Use Not(Atom(...)) to get a formula.\n \"\"\"", "metadata": "root.Literal", "header": "['module', '___EOS___']", "index": 253 }, { "content": " def __init__(self, polarity, atom):\n# assert isinstance(atom,Atom) or isinstance(atom,And) and len(atom.args) == 0\n self.polarity = polarity\n self.atom = atom", "metadata": "root.Literal.__init__", "header": "['class', 'Literal', '(', 'AST', ')', ':', '___EOS___']", "index": 258 }, { "content": "class EnumeratedSort(Sort):", "metadata": "root.EnumeratedSort", "header": "['module', '___EOS___']", "index": 303 }, { "content": " def __init__(self,extension):\n self.extension = extension\n self.dom = []", "metadata": "root.EnumeratedSort.__init__", "header": "['class', 'EnumeratedSort', '(', 'Sort', ')', ':', '___EOS___']", "index": 304 }, { "content": "class ConstantSort(Sort):", "metadata": "root.ConstantSort", "header": "['module', '___EOS___']", "index": 314 }, { "content": " def __init__(self,rep,prover_sort = None):\n self.rep,self.prover_sort = rep,prover_sort\n self.rng = self\n self.dom = []", "metadata": "root.ConstantSort.__init__", "header": "['class', 'ConstantSort', '(', 'Sort', ')', ':', '___EOS___']", "index": 315 }, { "content": "class FunctionSort(Sort):", "metadata": "root.FunctionSort", "header": "['module', '___EOS___']", "index": 332 }, { "content": " def __init__(self,dom,rng):\n self.dom,self.rng = dom,rng", "metadata": "root.FunctionSort.__init__", "header": "['class', 'FunctionSort', '(', 'Sort', ')', ':', '___EOS___']", "index": 333 }, { "content": "class RelationSort(Sort):", "metadata": "root.RelationSort", "header": "['module', '___EOS___']", "index": 342 }, { "content": " def __init__(self,dom):\n self.dom = dom", "metadata": "root.RelationSort.__init__", "header": "['class', 'RelationSort', '(', 'Sort', ')', ':', '___EOS___']", "index": 343 }, { "content": "class Decl(AST):", "metadata": "root.Decl", "header": "['module', '___EOS___']", "index": 360 }, { "content": " def __init__(self,*args):\n self.args = args", "metadata": "root.Decl.__init__", "header": "['class', 'Decl', '(', 'AST', ')', ':', '___EOS___']", "index": 361 }, { "content": "class Instantiation(AST):", "metadata": "root.Instantiation", "header": "['module', '___EOS___']", "index": 409 }, { "content": " def __init__(self,*args):\n self.args = args", "metadata": "root.Instantiation.__init__", "header": "['class', 'Instantiation', '(', 'AST', ')', ':', '___EOS___']", "index": 410 }, { "content": "class TypeDef(Definition):", "metadata": "root.TypeDef", "header": "['module', '___EOS___']", "index": 566 }, { "content": " def __init__(self,name,sort):\n self.args = [name,sort]", "metadata": "root.TypeDef.__init__", "header": "['class', 'TypeDef', '(', 'Definition', ')', ':', '___EOS___']", "index": 567 }, { "content": "class ActionDef(Definition):", "metadata": "root.ActionDef", "header": "['module', '___EOS___']", "index": 575 }, { "content": " def __init__(self,atom,action,formals=[],returns=[]):\n # we rename the formals to avoid name capture\n self.formal_params = [s.prefix('fml:') for s in formals]\n self.formal_returns = [s.prefix('fml:') for s in returns]\n if formals or returns:\n subst = dict((x.rep,y.rep) for x,y in zip(formals+returns,self.formal_params+self.formal_returns))\n action = subst_prefix_atoms_ast(action,subst,None,None)\n self.args = [atom,action]", "metadata": "root.ActionDef.__init__", "header": "['class', 'ActionDef', '(', 'Definition', ')', ':', '___EOS___']", "index": 576 }, { "content": "class StateDef(Definition):", "metadata": "root.StateDef", "header": "['module', '___EOS___']", "index": 606 }, { "content": " def __init__(self,name,state):\n self.args = [Atom(name,[]),state]", "metadata": "root.StateDef.__init__", "header": "['class', 'StateDef', '(', 'Definition', ')', ':', '___EOS___']", "index": 607 }, { "content": "class Range(AST):", "metadata": "root.Range", "header": "['module', '___EOS___']", "index": 811 }, { "content": " def __init__(self,lo,hi):\n self.args = []\n self.lo, self.hi = lo,hi", "metadata": "root.Range.__init__", "header": "['class', 'Range', '(', 'AST', ')', ':', '___EOS___']", "index": 812 } ]
[ { "span": "class Symbol(AST):", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 18 }, { "span": "class Formula(AST):", "start_line": 40, "start_column": 0, "end_line": 40, "end_column": 19 }, { "span": "class Not(Formula):", "start_line": 65, "start_column": 0, "end_line": 65, "end_column": 19 }, { "span": "class Let(Formula):", "start_line": 77, "start_column": 0, "end_line": 77, "end_column": 19 }, { "span": "class Definition(Formula):", "start_line": 95, "start_column": 0, "end_line": 95, "end_column": 26 }, { "span": "class Implies(Formula):", "start_line": 111, "start_column": 0, "end_line": 111, "end_column": 23 }, { "span": "class Iff(Formula):", "start_line": 121, "start_column": 0, "end_line": 121, "end_column": 19 }, { "span": "class Ite(AST):", "start_line": 131, "start_column": 0, "end_line": 131, "end_column": 15 }, { "span": "class Quantifier(Formula):", "start_line": 141, "start_column": 0, "end_line": 141, "end_column": 26 }, { "span": "class Atom(Formula):", "start_line": 152, "start_column": 0, "end_line": 152, "end_column": 20 }, { "span": "class Old(Term):", "start_line": 196, "start_column": 0, "end_line": 196, "end_column": 16 }, { "span": "class App(Term):", "start_line": 202, "start_column": 0, "end_line": 202, "end_column": 16 }, { "span": "class Variable(Term):", "start_line": 229, "start_column": 0, "end_line": 229, "end_column": 21 }, { "span": "class Literal(AST):", "start_line": 253, "start_column": 0, "end_line": 253, "end_column": 19 }, { "span": "class EnumeratedSort(Sort):", "start_line": 303, "start_column": 0, "end_line": 303, "end_column": 27 }, { "span": "class ConstantSort(Sort):", "start_line": 314, "start_column": 0, "end_line": 314, "end_column": 25 }, { "span": "class FunctionSort(Sort):", "start_line": 332, "start_column": 0, "end_line": 332, "end_column": 25 }, { "span": "class RelationSort(Sort):", "start_line": 342, "start_column": 0, "end_line": 342, "end_column": 25 }, { "span": "class Decl(AST):", "start_line": 360, "start_column": 0, "end_line": 360, "end_column": 16 }, { "span": "class Instantiation(AST):", "start_line": 409, "start_column": 0, "end_line": 409, "end_column": 25 }, { "span": "class TypeDef(Definition):", "start_line": 566, "start_column": 0, "end_line": 566, "end_column": 26 }, { "span": "class ActionDef(Definition):", "start_line": 575, "start_column": 0, "end_line": 575, "end_column": 28 }, { "span": "class StateDef(Definition):", "start_line": 606, "start_column": 0, "end_line": 606, "end_column": 27 }, { "span": "class Range(AST):", "start_line": 811, "start_column": 0, "end_line": 811, "end_column": 17 } ]
[ { "span": "def __init__(self,*args):", "start_line": 16, "start_column": 4, "end_line": 16, "end_column": 29 }, { "span": "def __init__(self,rep,sort):", "start_line": 25, "start_column": 4, "end_line": 25, "end_column": 32 }, { "span": "def __init__(self,*args):", "start_line": 44, "start_column": 4, "end_line": 44, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 69, "start_column": 4, "end_line": 69, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 81, "start_column": 4, "end_line": 81, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 99, "start_column": 4, "end_line": 99, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 115, "start_column": 4, "end_line": 115, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 125, "start_column": 4, "end_line": 125, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 135, "start_column": 4, "end_line": 135, "end_column": 29 }, { "span": "def __init__(self, bounds, body):", "start_line": 142, "start_column": 4, "end_line": 142, "end_column": 37 }, { "span": "def __init__(self, relsym, *terms):", "start_line": 156, "start_column": 4, "end_line": 156, "end_column": 39 }, { "span": "def __init__(self, term):", "start_line": 197, "start_column": 4, "end_line": 197, "end_column": 29 }, { "span": "def __init__(self, funsym, *terms):", "start_line": 203, "start_column": 4, "end_line": 203, "end_column": 39 }, { "span": "def __init__(self, rep, sort):", "start_line": 230, "start_column": 4, "end_line": 230, "end_column": 34 }, { "span": "def __init__(self, polarity, atom):", "start_line": 258, "start_column": 4, "end_line": 258, "end_column": 39 }, { "span": "def __init__(self,extension):", "start_line": 304, "start_column": 4, "end_line": 304, "end_column": 33 }, { "span": "def __init__(self,rep,prover_sort = None):", "start_line": 315, "start_column": 4, "end_line": 315, "end_column": 46 }, { "span": "def __init__(self,dom,rng):", "start_line": 333, "start_column": 4, "end_line": 333, "end_column": 31 }, { "span": "def __init__(self,dom):", "start_line": 343, "start_column": 4, "end_line": 343, "end_column": 27 }, { "span": "def __init__(self,*args):", "start_line": 361, "start_column": 4, "end_line": 361, "end_column": 29 }, { "span": "def __init__(self,*args):", "start_line": 410, "start_column": 4, "end_line": 410, "end_column": 29 }, { "span": "def __init__(self,name,sort):", "start_line": 567, "start_column": 4, "end_line": 567, "end_column": 33 }, { "span": "def __init__(self,atom,action,formals=[],returns=[]):", "start_line": 576, "start_column": 4, "end_line": 576, "end_column": 57 }, { "span": "def __init__(self,name,state):", "start_line": 607, "start_column": 4, "end_line": 607, "end_column": 34 }, { "span": "def __init__(self,lo,hi):", "start_line": 812, "start_column": 4, "end_line": 812, "end_column": 29 } ]
1
false
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"\\u\\u\\uNEWLINE\\u\\u\\u_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "class_", "State", "Def_", "(_", "Definition_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "[SEP]_", "class_", "State", "Def_", "(_", "Definition_", ")_", ":_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "def_", "\\u\\u", "init\\u\\u_", "(_", "self_", ",_", "name_", ",_", "state_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "self_", "._", "args_", "=_", "[_", "Atom_", "(_", "name_", ",_", "[_", "]_", ")_", ",_", "state_", "]_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "class_", "Range_", "(_", "AST_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "[SEP]_", "class_", "Range_", "(_", "AST_", ")_", ":_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", 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Except block handles 'BaseException'
azoft-dev-team/imagrium/env/Lib/test/zxjdbc/zxtest.py
[ { "content": " def setUp(self):\n zxCoreTestCase.setUp(self)\n\n c = self.cursor()\n\n try:\n c.execute(\"drop table zxtesting\")\n self.db.commit()\n except:\n self.db.rollback()\n\n try:\n c.execute(\"create table zxtesting (id int not null, name varchar(32), state varchar(32), primary key (id))\")\n self.db.commit()\n c.execute(\"insert into zxtesting (id, name, state) values (1, 'test0', 'il')\")\n c.execute(\"insert into zxtesting (id, name, state) values (2, 'test1', 'wi')\")\n c.execute(\"insert into zxtesting (id, name, state) values (3, 'test2', 'tx')\")\n c.execute(\"insert into zxtesting (id, name, state) values (4, 'test3', 'co')\")\n c.execute(\"insert into zxtesting (id, name, state) values (5, 'test4', 'il')\")\n c.execute(\"insert into zxtesting (id, name, state) values (6, 'test5', 'ca')\")\n c.execute(\"insert into zxtesting (id, name, state) values (7, 'test6', 'wi')\")\n self.db.commit()\n finally:\n c.close()", "metadata": "root.zxJDBCTestCase.setUp", "header": "['class', 'zxJDBCTestCase', '(', 'zxCoreTestCase', ')', ':', '___EOS___']", "index": 34 }, { "content": " def tearDown(self):\n\n c = self.cursor()\n try:\n try:\n c.execute(\"drop table zxtesting\")\n except:\n self.db.rollback()\n finally:\n c.close()\n\n zxCoreTestCase.tearDown(self)", "metadata": "root.zxJDBCTestCase.tearDown", "header": "['class', 'zxJDBCTestCase', '(', 'zxCoreTestCase', ')', ':', '___EOS___']", "index": 59 }, { "content": " def _test_precision(self, (tabname, sql), diff, values, attr):\n\n try:\n c = self.cursor()\n try:\n c.execute(\"drop table %s\" % (tabname))\n self.db.commit()\n except:\n self.db.rollback()\n finally:\n c.close()\n\n try:\n c = self.cursor()\n c.execute(sql)\n c.execute(\"insert into %s (a, b) values (?, ?)\" % (tabname), map(lambda x: (0, x), values))\n c.execute(\"select a, b from %s\" % (tabname))\n f = c.fetchall()\n assert len(values) == len(f), \"mismatched result set length\"\n for i in range(0, len(f)):\n v = values[i]\n if attr: v = getattr(v, attr)()\n msg = \"expected [%0.10f], got [%0.10f] for index [%d] of [%d]\" % (v, f[i][1], (i+1), len(f))\n assert diff(f[i][1], values[i]) < 0.01, msg\n self.db.commit()\n finally:\n c.close()\n try:\n c = self.cursor()\n try:\n c.execute(\"drop table %s\" % (tabname))\n self.db.commit()\n except:\n self.db.rollback()\n finally:\n c.close()", "metadata": "root.zxAPITestCase._test_precision", "header": "['class', 'zxAPITestCase', '(', 'zxJDBCTestCase', ')', ':', '___EOS___']", "index": 558 }, { "content": " def testRowid(self):\n \"\"\"testing the autoincrement facilities of the different handlers\"\"\"\n assert self.has_table(\"autoincrementtable\"), \"no autoincrement table\"\n\n c = self.cursor()\n assert c.lastrowid == None, \"expected initial lastrowid to be None\"\n\n try:\n\n tabname, sql = self.table(\"autoincrementtable\")\n c.execute(sql)\n\n c.execute(\"insert into %s (b) values (?)\" % (tabname), [(0,)])\n assert c.lastrowid is not None, \"lastrowid is None\"\n\n try:\n for idx in range(c.lastrowid + 1, c.lastrowid + 25):\n c.execute(\"insert into %s (b) values (?)\" % (tabname), [(idx,)])\n assert c.lastrowid is not None, \"lastrowid is None\"\n self.assertEquals(idx, c.lastrowid)\n except:\n self.db.rollback()\n\n finally:\n if self.has_table(\"post_autoincrementtable\"):\n try:\n sequence, sql = self.table(\"post_autoincrementtable\")\n c.execute(sql)\n self.db.commit()\n except:\n self.db.rollback()\n\n try:\n c.execute(\"drop table %s\" % (tabname))\n self.db.commit()\n except:\n self.db.rollback()\n\n self.db.commit()\n c.close()", "metadata": "root.zxAPITestCase.testRowid", "header": "['class', 'zxAPITestCase', '(', 'zxJDBCTestCase', ')', ':', '___EOS___']", "index": 875 }, { "content": " def testDBPipe(self):\n \"\"\"testing the DB pipe\"\"\"\n from com.ziclix.python.sql.pipe import Pipe\n from com.ziclix.python.sql.pipe.db import DBSource, DBSink\n\n try:\n src = self.connect()\n dst = self.connect()\n\n c = self.cursor()\n c.execute(\"create table zxtestingbcp (id int not null, name varchar(20), state varchar(2), primary key (id))\")\n self.db.commit()\n\n c.execute(\"select count(*) from zxtesting\")\n one = c.fetchone()[0]\n c.close()\n\n dbSource = DBSource(src, c.datahandler.__class__, \"zxtesting\", None, None, None)\n dbSink = DBSink(dst, c.datahandler.__class__, \"zxtestingbcp\", None, None, 1)\n\n cnt = Pipe().pipe(dbSource, dbSink) - 1 # ignore the header row\n\n c = self.cursor()\n c.execute(\"select count(*) from zxtestingbcp\")\n two = c.fetchone()[0]\n c.execute(\"delete from zxtestingbcp\")\n self.db.commit()\n c.close()\n\n assert one == two, \"expected [%d] rows in destination, got [%d] (sql)\" % (one, two)\n assert one == cnt, \"expected [%d] rows in destination, got [%d] (bcp)\" % (one, cnt)\n\n # this tests the internal assert in BCP. we need to handle the case where we exclude\n # all the rows queried (based on the fact no columns exist) but rows were fetched\n # also make sure (eg, Oracle) that the column name case is ignored\n dbSource = DBSource(src, c.datahandler.__class__, \"zxtesting\", None, [\"id\"], None)\n dbSink = DBSink(dst, c.datahandler.__class__, \"zxtestingbcp\", [\"id\"], None, 1)\n\n self.assertRaises(zxJDBC.Error, Pipe().pipe, dbSource, dbSink)\n\n params = [(4,)]\n\n dbSource = DBSource(src, c.datahandler.__class__, \"zxtesting\", \"id > ?\", None, params)\n dbSink = DBSink(dst, c.datahandler.__class__, \"zxtestingbcp\", None, None, 1)\n\n cnt = Pipe().pipe(dbSource, dbSink) - 1 # ignore the header row\n\n c = self.cursor()\n c.execute(\"select count(*) from zxtesting where id > ?\", params)\n one = c.fetchone()[0]\n c.execute(\"select count(*) from zxtestingbcp\")\n two = c.fetchone()[0]\n c.close()\n assert one == two, \"expected [%d] rows in destination, got [%d] (sql)\" % (one, two)\n assert one == cnt, \"expected [%d] rows in destination, got [%d] (bcp)\" % (one, cnt)\n\n finally:\n try:\n c = self.cursor()\n try:\n c.execute(\"drop table zxtestingbcp\")\n self.db.commit()\n except:\n self.db.rollback()\n finally:\n c.close()\n\n try:\n src.close()\n except:\n src = None\n try:\n dst.close()\n except:\n dst = None", "metadata": "root.BCPTestCase.testDBPipe", "header": "['class', 'BCPTestCase', '(', 'zxJDBCTestCase', ')', ':', '___EOS___']", "index": 1093 }, { "content": " def testBCP(self):\n \"\"\"testing bcp parameters and functionality\"\"\"\n from com.ziclix.python.sql.util import BCP\n\n import dbexts\n\n try:\n src = self.connect()\n dst = self.connect()\n\n c = self.cursor()\n c.execute(\"create table zxtestingbcp (id int not null, name varchar(20), state varchar(2), primary key (id))\")\n self.db.commit()\n\n c.execute(\"select count(*) from zxtesting\")\n one = c.fetchone()[0]\n c.close()\n\n b = BCP(src, dst)\n if hasattr(self, \"datahandler\"):\n b.sourceDataHandler = self.datahandler\n b.destinationDataHandler = self.datahandler\n cnt = b.bcp(\"zxtesting\", toTable=\"zxtestingbcp\")\n\n c = self.cursor()\n c.execute(\"select count(*) from zxtestingbcp\")\n two = c.fetchone()[0]\n c.execute(\"delete from zxtestingbcp\")\n self.db.commit()\n c.close()\n\n assert one == two, \"expected [%d] rows in destination, got [%d] (sql)\" % (one, two)\n assert one == cnt, \"expected [%d] rows in destination, got [%d] (bcp)\" % (one, cnt)\n\n # this tests the internal assert in BCP. we need to handle the case where we exclude\n # all the rows queried (based on the fact no columns exist) but rows were fetched\n # also make sure (eg, Oracle) that the column name case is ignored\n self.assertRaises(zxJDBC.Error, b.bcp, \"zxtesting\", toTable=\"zxtestingbcp\", include=[\"id\"], exclude=[\"id\"])\n\n params = [(4,)]\n cnt = b.bcp(\"zxtesting\", \"id > ?\", params, toTable=\"zxtestingbcp\")\n\n c = self.cursor()\n c.execute(\"select count(*) from zxtesting where id > ?\", params)\n one = c.fetchone()[0]\n c.execute(\"select count(*) from zxtestingbcp\")\n two = c.fetchone()[0]\n c.close()\n assert one == two, \"expected [%d] rows in destination, got [%d] (sql)\" % (one, two)\n assert one == cnt, \"expected [%d] rows in destination, got [%d] (bcp)\" % (one, cnt)\n\n finally:\n try:\n c = self.cursor()\n try:\n c.execute(\"drop table zxtestingbcp\")\n self.db.commit()\n except:\n self.db.rollback()\n finally:\n c.close()\n\n try:\n src.close()\n except:\n src = None\n try:\n dst.close()\n except:\n dst = None", "metadata": "root.BCPTestCase.testBCP", "header": "['class', 'BCPTestCase', '(', 'zxJDBCTestCase', ')', ':', '___EOS___']", "index": 1169 } ]
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First argument to super() is not enclosing class
dimagi/commcare-hq/corehq/apps/domain/views.py
[ { "content": " @method_decorator(domain_admin_required)\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.BaseAdminProjectSettingsView.dispatch", "header": "['class', 'BaseAdminProjectSettingsView', '(', 'BaseProjectSettingsView', ')', ':', '___EOS___']", "index": 321 }, { "content": " @method_decorator(domain_admin_required)\n @use_select2\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.EditBasicProjectInfoView.dispatch", "header": "['class', 'EditBasicProjectInfoView', '(', 'BaseEditProjectInfoView', ')', ':', '___EOS___']", "index": 357 }, { "content": " @method_decorator(login_and_domain_required)\n @use_bootstrap3\n def dispatch(self, *args, **kwargs):\n return super(LoginAndDomainMixin, self).dispatch(*args, **kwargs)", "metadata": "root.EditMyProjectSettingsView.dispatch", "header": "['class', 'EditMyProjectSettingsView', '(', 'BaseProjectSettingsView', ')', ':', '___EOS___']", "index": 454 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.EditPrivacySecurityView.dispatch", "header": "['class', 'EditPrivacySecurityView', '(', 'BaseAdminProjectSettingsView', ')', ':', '___EOS___']", "index": 1361 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.ExchangeSnapshotsView.dispatch", "header": "['class', 'ExchangeSnapshotsView', '(', 'BaseAdminProjectSettingsView', ')', ':', '___EOS___']", "index": 1729 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n @use_jquery_ui\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.CreateNewExchangeSnapshotView.dispatch", "header": "['class', 'CreateNewExchangeSnapshotView', '(', 'BaseAdminProjectSettingsView', ')', ':', '___EOS___']", "index": 1749 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.ManageProjectMediaView.dispatch", "header": "['class', 'ManageProjectMediaView', '(', 'BaseAdminProjectSettingsView', ')', ':', '___EOS___']", "index": 2038 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.DomainForwardingOptionsView.dispatch", "header": "['class', 'DomainForwardingOptionsView', '(', 'BaseAdminProjectSettingsView', ',', 'RepeaterMixin', ')', ':', '___EOS___']", "index": 2272 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.AddRepeaterView.dispatch", "header": "['class', 'AddRepeaterView', '(', 'BaseAdminProjectSettingsView', ',', 'RepeaterMixin', ')', ':', '___EOS___']", "index": 2299 }, { "content": " @method_decorator(login_and_domain_required)\n @method_decorator(require_superuser)\n @use_bootstrap3\n @use_jquery_ui\n @use_jquery_ui_multiselect\n def dispatch(self, request, *args, **kwargs):\n return super(BaseInternalDomainSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.EditInternalDomainInfoView.dispatch", "header": "['class', 'EditInternalDomainInfoView', '(', 'BaseInternalDomainSettingsView', ')', ':', '___EOS___']", "index": 2413 }, { "content": " @method_decorator(login_and_domain_required)\n @method_decorator(require_superuser)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseInternalDomainSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.EditInternalCalculationsView.dispatch", "header": "['class', 'EditInternalCalculationsView', '(', 'BaseInternalDomainSettingsView', ')', ':', '___EOS___']", "index": 2512 }, { "content": " @method_decorator(domain_admin_required)\n @use_bootstrap3\n def dispatch(self, request, *args, **kwargs):\n return super(BaseProjectSettingsView, self).dispatch(request, *args, **kwargs)", "metadata": "root.FeaturePreviewsView.dispatch", "header": "['class', 'FeaturePreviewsView', '(', 'BaseAdminProjectSettingsView', ')', ':', '___EOS___']", "index": 2671 } ]
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[]
1
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Unused local variable
Ivaylo-Popov/Theano-Lights/models/lm_gru.py
[ { "content": " def __init__(self, data, hp):\n super(LM_gru, self).__init__(self.__class__.__name__, data, hp)\n \n self.n_h = 256\n self.dropout = 0.5\n\n self.params = Parameters()\n self.hiddenstates = Parameters()\n n_tokens = self.data['n_tokens']\n n_h = self.n_h\n scale = hp.init_scale\n gates = 3\n\n with self.hiddenstates:\n b1_h = shared_zeros((self.hp.batch_size, n_h))\n b2_h = shared_zeros((self.hp.batch_size, n_h))\n\n if hp.load_model and os.path.isfile(self.filename):\n self.params.load(self.filename)\n else:\n with self.params:\n W_emb = shared_normal((n_tokens, n_h), scale=scale)\n \n W1 = shared_normal((n_h, n_h*gates), scale=scale*1.5)\n V1 = shared_normal((n_h, n_h*gates), scale=scale*1.5)\n b1 = shared_zeros((n_h*gates))\n \n W2 = shared_normal((n_h, n_h*gates), scale=scale*1.5)\n V2 = shared_normal((n_h, n_h*gates), scale=scale*1.5)\n b2 = shared_zeros((n_h*gates,))\n\n \n def lstm(X, h, c, W, U, b):\n g_on = T.dot(X,W) + T.dot(h,U) + b\n i_on = T.nnet.sigmoid(g_on[:,:n_h])\n f_on = T.nnet.sigmoid(g_on[:,n_h:2*n_h])\n o_on = T.nnet.sigmoid(g_on[:,2*n_h:3*n_h])\n c = f_on * c + i_on * T.tanh(g_on[:,3*n_h:])\n h = o_on * T.tanh(c)\n return h, c\n\n def gru(X, h, W, U, b):\n z_t = T.nnet.sigmoid(T.dot(X,W[:,:n_h]) + T.dot(h,U[:,:n_h]) + b[:n_h])\n r_t = T.nnet.sigmoid(T.dot(X,W[:,n_h:2*n_h]) + T.dot(h,U[:,n_h:2*n_h]) + b[n_h:2*n_h])\n h_t = T.tanh(T.dot(X,W[:,2*n_h:3*n_h]) + r_t * T.dot(h,U[:,2*n_h:3*n_h]) + b[2*n_h:3*n_h])\n return (1 - z_t) * h + z_t * h_t\n\n def sgru(X, h, W, U, b):\n z_t = T.tanh(T.dot(X,W[:,:n_h]) + T.dot(h,U[:,:n_h]) + b[:n_h])\n h_t = T.tanh(T.dot(X,W[:,1*n_h:2*n_h]) + T.dot(h,U[:,1*n_h:2*n_h]) + b[1*n_h:2*n_h])\n return z_t * h_t\n\n def model(x, p, p_dropout):\n input_size = x.shape[1]\n\n h0 = p.W_emb[x] # (seq_len, batch_size, emb_size)\n h0 = dropout(h0, p_dropout)\n\n cost, h1, h2 = [0., b1_h, b2_h]\n \n for t in xrange(0, self.hp.seq_size):\n if t >= self.hp.warmup_size:\n pyx = softmax(T.dot(dropout(h2, p_dropout), T.transpose(p.W_emb)))\n cost += T.sum(T.nnet.categorical_crossentropy(pyx, theano_one_hot(x[t], n_tokens)))\n\n h1 = gru(h0[t], h1, p.W1, p.V1, p.b1)\n h2 = gru(dropout(h1, p_dropout), h2, p.W2, p.V2, p.b2)\n\n h_updates = [(b1_h, h1), (b2_h, h2)]\n\n return cost, h_updates\n \n cost, h_updates = model(self.X, self.params, self.dropout)\n te_cost, te_h_updates = model(self.X, self.params, 0.)\n\n self.compile(cost, te_cost, h_updates, te_h_updates)", "metadata": "root.LM_gru.__init__", "header": "['class', 'LM_gru', '(', 'ModelLMBase', ')', ':', '___EOS___']", "index": 14 } ]
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Unused import
keithmoss/Hodor/hodor/retries.py
[ { "content": "# Copyright 2012 by Jeff Laughlin Consulting LLC\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n# copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n#\n# The above copyright notice and this permission notice shall be included in\n# all copies or substantial portions of the Software.\n#\n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n# SOFTWARE.\n\nimport sys\nimport json\nimport multiprocessing\nfrom time import sleep\nfrom hodor.exceptions import *\nfrom apiclient.errors import HttpError\nfrom socket import error as socket_error\nfrom hodor.cli import Context\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def gme_exc_handler(tries_remaining, exception, delay, args):\n \"\"\"GME exception handler; retries 403 errors (access token expired) and prints a warning to stderr.\n\n tries_remaining: The number of tries remaining.\n exception: The exception instance which was raised.\n delay: The length of time we're sleeping for.\n args: A tuple of the arguments passed to the calling function.\n \"\"\"\n\n # By convention Hodor always passes Context as the\n # first argument to anything that utilises retries.\n ctx = args[0]\n\n # Refresh expired access tokens\n if isinstance(exception, HttpError):\n if exception.resp.status == 401:\n print \"Token Expired, Reauthenticating...\"\n\n if not isinstance(ctx, Context):\n raise Exception(\"Error: Could not find Context object. Calling method must pass Context as the first argument.\")\n\n ctx.refresh_services()\n\n # Files uploads return a 204 No Content \"error\" that needs to be handled farther up.\n elif exception.resp.status == 204:\n raise NoContent()\n\n # Allow these fatal errors to bubble up - there's nowt we can do about them here.\n elif exception.resp.status in [403, 500, 503, 410]:\n content = json.loads(exception.content)\n if content['error']['errors'][0]['reason'] == 'queryTooExpensive':\n raise QueryTooExpensive(\"Query too expensive '%s'\" % (content['error']['message']))\n elif content['error']['errors'][0]['reason'] == 'backendError':\n # raise BackendError(\"GME backend error '%s'\" % (content['error']['message']))\n\n # content['error']['message'] == \"Service is unavailable. Retry.\"\n # HTTP 503 or 410\n\n # content['error']['message'] == \"Deadline exceeded.\"\n # HTTP 410\n\n print content\n if content['error']['message'] == \"Deadline exceeded.\":\n raise BackendError(\"GME backend error '%s'\" % (content['error']['message']))\n else:\n pass\n elif content['error']['errors'][0]['reason'] == 'tableTooLarge':\n raise TableTooLarge(\"Table too large '%s'\" % (content['error']['message']))\n elif content['error']['errors'][0]['reason'] == 'internalError':\n raise InternalServerError(\"%s\" % (content['error']['message']))\n elif content['error']['errors'][0]['reason'] == 'rateLimitExceeded':\n pass # Retry 403 Rate Limit Exceeded (for uploads only)\n\n # Retry non-fatal errors like \"server didn't respond in time\", GME's random \"internal server error\", or rate limit exceeded errors\n elif exception.resp.status not in [410, 429, 500]:\n raise exception\n\n if isinstance(ctx, Context):\n ctx.log(\"%s, %d tries remaining, sleeping for %s seconds\" % (exception, tries_remaining, delay))\n else:\n if getattr(exception, 'content', None) is not None:\n content = json.loads(exception.content)\n message = content['error']['message'] + \" \" + content['error']['errors'][0]['reason']\n print >> sys.stderr, \"Caught '%s' (%s), %d tries remaining, sleeping for %s seconds\" % (message, exception.resp.status, tries_remaining, round(delay, 2))\n else:\n raise exception", "metadata": "root.gme_exc_handler", "header": "['module', '___EOS___']", "index": 29 }, { "content": "def example_exc_handler(tries_remaining, exception, delay):\n \"\"\"Example exception handler; prints a warning to stderr.\n\n tries_remaining: The number of tries remaining.\n exception: The exception instance which was raised.\n \"\"\"\n print >> sys.stderr, \"Caught '%s', %d tries remaining, sleeping for %s seconds\" % (exception, tries_remaining, delay)", "metadata": "root.example_exc_handler", "header": "['module', '___EOS___']", "index": 97 }, { "content": "def retries(max_tries, delay=1, backoff=1.1, exceptions=(Exception, HttpError, socket_error), hook=gme_exc_handler):\n \"\"\"Function decorator implementing retrying logic.\n\n delay: Sleep this many seconds * backoff * try number after failure\n backoff: Multiply delay by this factor after each failure\n exceptions: A tuple of exception classes; default (Exception,)\n hook: A function with the signature myhook(tries_remaining, exception);\n default None\n\n The decorator will call the function up to max_tries times if it raises\n an exception.\n\n By default it catches instances of the Exception class and subclasses.\n This will recover after all but the most fatal errors. You may specify a\n custom tuple of exception classes with the 'exceptions' argument; the\n function will only be retried if it raises one of the specified\n exceptions.\n\n Additionally you may specify a hook function which will be called prior\n to retrying with the number of remaining tries and the exception instance;\n see given example. This is primarily intended to give the opportunity to\n log the failure. Hook is not called after failure if no retries remain.\n \"\"\"\n def dec(func):\n def f2(*args, **kwargs):\n mydelay = delay\n tries = range(max_tries)\n tries.reverse()\n for tries_remaining in tries:\n try:\n return func(*args, **kwargs)\n except exceptions as e:\n if tries_remaining > 0:\n if hook is not None:\n hook(tries_remaining, e, mydelay, args)\n sleep(mydelay)\n mydelay = mydelay * backoff\n else:\n raise e\n else:\n break\n return f2\n return dec", "metadata": "root.retries", "header": "['module', '___EOS___']", "index": 106 } ]
[ { "span": "import multiprocessing", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 22 } ]
[]
1
false
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Unused import
stripe/monospace-django/monospace/views.py
[ { "content": "import datetime\n\nfrom django.db import IntegrityError\nfrom django.http import HttpResponseRedirect\nfrom django.shortcuts import render_to_response, redirect\nfrom django.template import RequestContext\nimport stripe\n\nfrom monospace.forms import *\nfrom monospace.models import *\nimport monospace.settings as settings\n\nstripe.api_key = settings.STRIPE_SECRET\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def soon():\n soon = datetime.date.today() + datetime.timedelta(days=30)\n return {'month': soon.month, 'year': soon.year}", "metadata": "root.soon", "header": "['module', '___EOS___']", "index": 14 }, { "content": "def home(request):\n uid = request.session.get('user')\n if uid is None:\n return render_to_response('home.html')\n else:\n return render_to_response('user.html', {'user': User.objects.get(pk=uid)})", "metadata": "root.home", "header": "['module', '___EOS___']", "index": 18 }, { "content": "def sign_in(request):\n user = None\n if request.method == 'POST':\n form = SignInForm(request.POST)\n if form.is_valid():\n results = User.objects.filter(email=form.cleaned_data['email'])\n if len(results) == 1:\n if results[0].check_password(form.cleaned_data['password']):\n request.session['user'] = results[0].pk\n return HttpResponseRedirect('/')\n else:\n form.addError('Incorrect email address or password')\n else:\n form.addError('Incorrect email address or password')\n else:\n form = SignInForm()\n \n print form.non_field_errors()\n\n return render_to_response(\n 'sign_in.html',\n {\n 'form': form,\n 'user': user\n },\n context_instance=RequestContext(request)\n )", "metadata": "root.sign_in", "header": "['module', '___EOS___']", "index": 25 }, { "content": "def sign_out(request):\n del request.session['user']\n return HttpResponseRedirect('/')", "metadata": "root.sign_out", "header": "['module', '___EOS___']", "index": 53 }, { "content": "def register(request):\n user = None\n if request.method == 'POST':\n form = UserForm(request.POST)\n if form.is_valid():\n\n customer = stripe.Customer.create(\n description = form.cleaned_data['email'],\n card = form.cleaned_data['stripe_token'],\n plan = 'basic'\n )\n\n user = User(\n name = form.cleaned_data['name'],\n email = form.cleaned_data['email'],\n last_4_digits = form.cleaned_data['last_4_digits'],\n stripe_id = customer.id\n )\n user.set_password(form.cleaned_data['password1'])\n\n try:\n user.save()\n except IntegrityError:\n form.addError(user.email + ' is already a member')\n else:\n request.session['user'] = user.pk\n return HttpResponseRedirect('/')\n\n else:\n form = UserForm()\n\n return render_to_response(\n 'register.html',\n {\n 'form': form,\n 'months': range(1, 13),\n 'publishable': settings.STRIPE_PUBLISHABLE,\n 'soon': soon(),\n 'user': user,\n 'years': range(2011, 2036),\n },\n context_instance=RequestContext(request)\n )", "metadata": "root.register", "header": "['module', '___EOS___']", "index": 57 }, { "content": "def edit(request):\n uid = request.session.get('user')\n if uid is None:\n return HttpResponseRedirect('/')\n user = User.objects.get(pk=uid)\n if request.method == 'POST':\n form = CardForm(request.POST)\n if form.is_valid():\n\n customer = stripe.Customer.retrieve(user.stripe_id)\n customer.card = form.cleaned_data['stripe_token']\n customer.save()\n\n user.last_4_digits = form.cleaned_data['last_4_digits']\n user.stripe_id = customer.id\n user.save()\n\n return HttpResponseRedirect('/')\n\n else:\n form = CardForm()\n\n return render_to_response(\n 'edit.html',\n {\n 'form': form,\n 'publishable': settings.STRIPE_PUBLISHABLE,\n 'soon': soon(),\n 'months': range(1, 13),\n 'years': range(2011, 2036)\n },\n context_instance=RequestContext(request)\n )", "metadata": "root.edit", "header": "['module', '___EOS___']", "index": 101 } ]
[ { "span": "from django.shortcuts import render_to_response, redirect", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 57 } ]
[]
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Unused import
shuge/Qt-Python-Binding-Examples/layout/layout_in_grid.py
[ { "content": "#!/usr/bin/env python\n#-*- coding:utf-8 -*-\n\"\"\"\nlay out in Gird demo\n\nTested environment:\n Mac OS X 10.6.8\n\"\"\"\nimport sys\n\ntry:\n from PySide import QtCore\n from PySide import QtGui\nexcept ImportError:\n from PyQt4 import QtCore\n from PyQt4 import QtGui\n\n\n\n\nif __name__ == \"__main__\":\n app = QtGui.QApplication(sys.argv)\n\n demo = Demo()\n demo.show_and_raise()\n\n sys.exit(app.exec_())\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Demo(QtGui.QWidget):\n", "metadata": "root.Demo", "header": "['module', '___EOS___']", "index": 18 }, { "content": " def __init__(self):\n super(Demo, self).__init__()\n\n x, y, w, h = 500, 200, 300, 400\n self.setGeometry(x, y, w, h)\n\n title = QtGui.QLabel('Title')\n author = QtGui.QLabel('Author')\n review = QtGui.QLabel('Review')\n\n titleEdit = QtGui.QLineEdit()\n authorEdit = QtGui.QLineEdit()\n reviewEdit = QtGui.QTextEdit()\n\n grid = QtGui.QGridLayout()\n grid.setSpacing(10)\n\n grid.addWidget(title, 1, 0)\n grid.addWidget(titleEdit, 1, 1)\n\n grid.addWidget(author, 2, 0)\n grid.addWidget(authorEdit, 2, 1)\n\n grid.addWidget(review, 3, 0)\n grid.addWidget(reviewEdit, 3, 1, 5, 1)\n \n self.setLayout(grid)", "metadata": "root.Demo.__init__", "header": "['class', 'Demo', '(', 'QtGui', '.', 'QWidget', ')', ':', '___EOS___']", "index": 19 }, { "content": " def show_and_raise(self):\n self.show()\n self.raise_()", "metadata": "root.Demo.show_and_raise", "header": "['class', 'Demo', '(', 'QtGui', '.', 'QWidget', ')', ':', '___EOS___']", "index": 47 } ]
[ { "span": "from PySide import QtCore", "start_line": 11, "start_column": 4, "end_line": 11, "end_column": 29 }, { "span": "from PyQt4 import QtCore", "start_line": 14, "start_column": 4, "end_line": 14, "end_column": 28 } ]
[]
1
false
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Unused import
ImageEngine/gaffer/python/GafferSceneUI/PruneUI.py
[ { "content": "##########################################################################\n#\n# Copyright (c) 2013, Image Engine Design Inc. 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\n# met:\n#\n# * Redistributions of source code must retain the above\n# copyright notice, this list of conditions and the following\n# disclaimer.\n#\n# * Redistributions in binary form must reproduce the above\n# copyright notice, this list of conditions and the following\n# disclaimer in the documentation and/or other materials provided with\n# the distribution.\n#\n# * Neither the name of John Haddon nor the names of\n# any other contributors to this software may be used to endorse or\n# promote products derived from this software without specific prior\n# written permission.\n#\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\n# IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,\n# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\n# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR\n# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,\n# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,\n# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\n# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\n# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n# 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##########################################################################\n\nimport Gaffer\nimport GafferUI\n\nimport GafferScene\nimport GafferSceneUI\n\nGaffer.Metadata.registerNodeDescription(\n\nGafferScene.Prune,\n\n\"\"\"A node for removing whole branches from the scene hierarchy.\"\"\",\n\n\"filter\",\n\"\"\"The branches to prune. The specified locations and all locations below them will be removed from the scene.\"\"\",\n\n\"adjustBounds\",\n\"\"\"Computes new tightened bounding boxes taking into account the removed locations. This can be an expensive operation - turn on with care.\"\"\",\n\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "import GafferUI", "start_line": 37, "start_column": 0, "end_line": 37, "end_column": 15 }, { "span": "import GafferSceneUI", "start_line": 40, "start_column": 0, "end_line": 40, "end_column": 20 } ]
[]
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Unused import
heiskr/sagefy/server/index.py
[ { "content": "\"\"\"\nWelcome to Sagefy.\n\"\"\"\n# flake8: noqa\n\nfrom config import config\nimport framework.index as framework\nframework.update_config(config)\n\nfrom framework.database import setup_db\nsetup_db()\n\nimport routes.public\nimport routes.user\nimport routes.notice\nimport routes.topic\nimport routes.follow\nimport routes.user_sets\nimport routes.card\nimport routes.unit\nimport routes.set\nimport routes.search\nimport routes.next\n\nfrom framework.index import serve\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "import routes.public", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 20 }, { "span": "import routes.user", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 18 }, { "span": "import routes.notice", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 20 }, { "span": "import routes.topic", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 19 }, { "span": "import routes.follow", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 20 }, { "span": "import routes.user_sets", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 23 }, { "span": "import routes.card", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 18 }, { "span": "import routes.unit", "start_line": 19, "start_column": 0, "end_line": 19, "end_column": 18 }, { "span": "import routes.set", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 17 }, { "span": "import routes.search", "start_line": 21, "start_column": 0, "end_line": 21, "end_column": 20 }, { "span": "import routes.next", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 18 }, { "span": "from framework.index import serve", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 33 } ]
[]
1
false
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Imprecise assert
ImageEngine/gaffer/python/GafferTest/SignalsTest.py
[ { "content": "\tdef testNonScopedConnection( self ) :\n\n\t\tself.numCalls = 0\n\t\tdef f() :\n\t\t\tself.numCalls += 1\n\n\t\ts = Gaffer.Signal0()\n\t\tc = s.connect( f, scoped = False )\n\n\t\tself.assertEqual( self.numCalls, 0 )\n\t\ts()\n\t\tself.assertEqual( self.numCalls, 1 )\n\n\t\tc.block( True )\n\t\ts()\n\t\tself.assertEqual( self.numCalls, 1 )\n\t\tc.block( False )\n\t\ts()\n\t\tself.assertEqual( self.numCalls, 2 )\n\n\t\t# If we drop our reference to the slot,\n\t\t# it should still be alive because the\n\t\t# signal is referencing it (because it\n\t\t# is connected).\n\t\tw = weakref.ref( f )\n\t\tdel f\n\t\tself.assertTrue( w() is not None )\n\n\t\t# And it should still be triggered when\n\t\t# we call the signal.\n\t\ts()\n\t\tself.assertEqual( self.numCalls, 3 )\n\n\t\t# And it should finally die when the\n\t\t# signal dies.\n\t\tdel s\n\t\tself.assertTrue( w() is None )", "metadata": "root.SignalsTest.testNonScopedConnection", "header": "['class', 'SignalsTest', '(', 'GafferTest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 360 } ]
[ { "span": "self.assertTrue( w() is not None )", "start_line": 386, "start_column": 2, "end_line": 386, "end_column": 36 }, { "span": "self.assertTrue( w() is None )", "start_line": 396, "start_column": 2, "end_line": 396, "end_column": 32 } ]
[]
1
true
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Unused local variable
tbarbugli/stream_framework_example/core/tests.py
[ { "content": " def setUp(self):\n TestCase.setUp(self)\n\n self.bogus_user = bogus_user = get_user_model().objects.get(\n username='bogus')\n self.bogus_user2 = bogus_user2 = get_user_model().objects.get(\n username='bogus2')\n # start by resetting the feeds\n for u in [self.bogus_user, self.bogus_user2]:\n user_feed = manager.get_user_feed(u.id)\n user_feed.delete()\n for name, feed in manager.get_feeds(u.id).items():\n feed.delete()\n\n # login the user\n rf = RequestMock()\n self.rf = rf\n self.client = Client()\n self.auth_client = Client()\n self.auth_client2 = Client()\n auth_response = self.auth_client.login(\n username='bogus', password='bogus')\n self.assertTrue(auth_response)\n auth_response = self.auth_client2.login(\n username='bogus2', password='bogus')\n self.assertTrue(auth_response)", "metadata": "root.BaseTestCase.setUp", "header": "['class', 'BaseTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 26 }, { "content": " def test_unpin(self):\n data = dict(\n message='my awesome pin',\n item=1,\n board_name='my favourite things',\n influencer=1,\n )\n pin_url = reverse('pin') + '?ajax=1'\n response = self.client.post(pin_url, data)\n self.assertEqual(response.status_code, 302)\n pin_response = self.auth_client.post(pin_url, data)\n self.assertEqual(pin_response.status_code, 200)\n response_data = json.loads(pin_response.content)\n self.assertTrue(response_data['pin'])\n self.assertTrue(response_data['pin']['id'])\n data['remove'] = 1\n response = self.auth_client.post(pin_url, data)\n pins = list(Pin.objects.filter(item=1, user=self.bogus_user)[:4])\n assert pins == []", "metadata": "root.PinTest.test_unpin", "header": "['class', 'PinTest', '(', 'BaseTestCase', ')', ':', '___EOS___']", "index": 73 }, { "content": " def test_unfollow(self):\n data = dict(\n target=2,\n )\n follow_url = reverse('follow')\n response = self.client.post(follow_url, data)\n self.assertEqual(response.status_code, 302)\n follow_response = self.auth_client.post(follow_url, data)\n self.assertEqual(follow_response.status_code, 200)\n response_data = json.loads(follow_response.content)\n self.assertTrue(response_data['follow'])\n self.assertTrue(response_data['follow']['id'])\n data['remove'] = 1\n response = self.auth_client.post(follow_url, data)\n follows = list(Follow.objects.filter(\n target=2, user=self.bogus_user)[:4])\n assert follows == []", "metadata": "root.FollowTest.test_unfollow", "header": "['class', 'FollowTest', '(', 'BaseTestCase', ')', ':', '___EOS___']", "index": 109 } ]
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[]
1
true
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`__init__` method calls overridden method
django/django/django/forms/fields.py
[ { "content": "class Field(object):\n widget = TextInput # Default widget to use when rendering this type of Field.\n hidden_widget = HiddenInput # Default widget to use when rendering this as \"hidden\".\n default_validators = [] # Default set of validators\n # Add an 'invalid' entry to default_error_message if you want a specific\n # field error message not raised by the field validators.\n default_error_messages = {\n 'required': _('This field is required.'),\n }\n empty_values = list(validators.EMPTY_VALUES)\n\n # Tracks each time a Field instance is created. Used to retain order.\n creation_counter = 0\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.Field", "header": "['module', '___EOS___']", "index": 48 }, { "content": " def __init__(self, required=True, widget=None, label=None, initial=None,\n help_text='', error_messages=None, show_hidden_initial=False,\n validators=[], localize=False, disabled=False, label_suffix=None):\n # required -- Boolean that specifies whether the field is required.\n # True by default.\n # widget -- A Widget class, or instance of a Widget class, that should\n # be used for this Field when displaying it. Each Field has a\n # default Widget that it'll use if you don't specify this. In\n # most cases, the default widget is TextInput.\n # label -- A verbose name for this field, for use in displaying this\n # field in a form. By default, Django will use a \"pretty\"\n # version of the form field name, if the Field is part of a\n # Form.\n # initial -- A value to use in this Field's initial display. This value\n # is *not* used as a fallback if data isn't given.\n # help_text -- An optional string to use as \"help text\" for this Field.\n # error_messages -- An optional dictionary to override the default\n # messages that the field will raise.\n # show_hidden_initial -- Boolean that specifies if it is needed to render a\n # hidden widget with initial value after widget.\n # validators -- List of additional validators to use\n # localize -- Boolean that specifies if the field should be localized.\n # disabled -- Boolean that specifies whether the field is disabled, that\n # is its widget is shown in the form but not editable.\n # label_suffix -- Suffix to be added to the label. Overrides\n # form's label_suffix.\n self.required, self.label, self.initial = required, label, initial\n self.show_hidden_initial = show_hidden_initial\n self.help_text = help_text\n self.disabled = disabled\n self.label_suffix = label_suffix\n widget = widget or self.widget\n if isinstance(widget, type):\n widget = widget()\n\n # Trigger the localization machinery if needed.\n self.localize = localize\n if self.localize:\n widget.is_localized = True\n\n # Let the widget know whether it should display as required.\n widget.is_required = self.required\n\n # Hook into self.widget_attrs() for any Field-specific HTML attributes.\n extra_attrs = self.widget_attrs(widget)\n if extra_attrs:\n widget.attrs.update(extra_attrs)\n\n self.widget = widget\n\n # Increase the creation counter, and save our local copy.\n self.creation_counter = Field.creation_counter\n Field.creation_counter += 1\n\n messages = {}\n for c in reversed(self.__class__.__mro__):\n messages.update(getattr(c, 'default_error_messages', {}))\n messages.update(error_messages or {})\n self.error_messages = messages\n\n self.validators = list(itertools.chain(self.default_validators, validators))\n\n super(Field, self).__init__()", "metadata": "root.Field.__init__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 62 }, { "content": " def prepare_value(self, value):\n return value", "metadata": "root.Field.prepare_value", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 126 }, { "content": " def to_python(self, value):\n return value", "metadata": "root.Field.to_python", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 129 }, { "content": " def validate(self, value):\n if value in self.empty_values and self.required:\n raise ValidationError(self.error_messages['required'], code='required')", "metadata": "root.Field.validate", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 132 }, { "content": " def run_validators(self, value):\n if value in self.empty_values:\n return\n errors = []\n for v in self.validators:\n try:\n v(value)\n except ValidationError as e:\n if hasattr(e, 'code') and e.code in self.error_messages:\n e.message = self.error_messages[e.code]\n errors.extend(e.error_list)\n if errors:\n raise ValidationError(errors)", "metadata": "root.Field.run_validators", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 136 }, { "content": " def clean(self, value):\n \"\"\"\n Validates the given value and returns its \"cleaned\" value as an\n appropriate Python object.\n\n Raises ValidationError for any errors.\n \"\"\"\n value = self.to_python(value)\n self.validate(value)\n self.run_validators(value)\n return value", "metadata": "root.Field.clean", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 150 }, { "content": " def bound_data(self, data, initial):\n \"\"\"\n Return the value that should be shown for this field on render of a\n bound form, given the submitted POST data for the field and the initial\n data, if any.\n\n For most fields, this will simply be data; FileFields need to handle it\n a bit differently.\n \"\"\"\n if self.disabled:\n return initial\n return data", "metadata": "root.Field.bound_data", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 162 }, { "content": " def widget_attrs(self, widget):\n \"\"\"\n Given a Widget instance (*not* a Widget class), returns a dictionary of\n any HTML attributes that should be added to the Widget, based on this\n Field.\n \"\"\"\n return {}", "metadata": "root.Field.widget_attrs", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 175 }, { "content": " def has_changed(self, initial, data):\n \"\"\"\n Return True if data differs from initial.\n \"\"\"\n try:\n data = self.to_python(data)\n if hasattr(self, '_coerce'):\n return self._coerce(data) != self._coerce(initial)\n except ValidationError:\n return True\n # For purposes of seeing whether something has changed, None is\n # the same as an empty string, if the data or initial value we get\n # is None, replace it with ''.\n initial_value = initial if initial is not None else ''\n data_value = data if data is not None else ''\n return initial_value != data_value", "metadata": "root.Field.has_changed", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 183 }, { "content": " def get_bound_field(self, form, field_name):\n \"\"\"\n Return a BoundField instance that will be used when accessing the form\n field in a template.\n \"\"\"\n return BoundField(form, self, field_name)", "metadata": "root.Field.get_bound_field", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 200 }, { "content": " def __deepcopy__(self, memo):\n result = copy.copy(self)\n memo[id(self)] = result\n result.widget = copy.deepcopy(self.widget, memo)\n result.validators = self.validators[:]\n return result", "metadata": "root.Field.__deepcopy__", "header": "['class', 'Field', '(', 'object', ')', ':', '___EOS___']", "index": 207 }, { "content": "class CharField(Field):\n\n", "metadata": "root.CharField", "header": "['module', '___EOS___']", "index": 215 }, { "content": " def __init__(self, max_length=None, min_length=None, strip=True, *args, **kwargs):\n self.max_length = max_length\n self.min_length = min_length\n self.strip = strip\n super(CharField, self).__init__(*args, **kwargs)\n if min_length is not None:\n self.validators.append(validators.MinLengthValidator(int(min_length)))\n if max_length is not None:\n self.validators.append(validators.MaxLengthValidator(int(max_length)))", "metadata": "root.CharField.__init__", "header": "['class', 'CharField', '(', 'Field', ')', ':', '___EOS___']", "index": 216 }, { "content": " def to_python(self, value):\n \"Returns a Unicode object.\"\n if value in self.empty_values:\n return ''\n value = force_text(value)\n if self.strip:\n value = value.strip()\n return value", "metadata": "root.CharField.to_python", "header": "['class', 'CharField', '(', 'Field', ')', ':', '___EOS___']", "index": 226 }, { "content": " def widget_attrs(self, widget):\n attrs = super(CharField, self).widget_attrs(widget)\n if self.max_length is not None:\n # The HTML attribute is maxlength, not max_length.\n attrs['maxlength'] = str(self.max_length)\n if self.min_length is not None:\n # The HTML attribute is minlength, not min_length.\n attrs['minlength'] = str(self.min_length)\n return attrs", "metadata": "root.CharField.widget_attrs", "header": "['class', 'CharField', '(', 'Field', ')', ':', '___EOS___']", "index": 235 }, { "content": "class IntegerField(Field):\n widget = NumberInput\n default_error_messages = {\n 'invalid': _('Enter a whole number.'),\n }\n re_decimal = re.compile(r'\\.0*\\s*$')\n\n\n", "metadata": "root.IntegerField", "header": "['module', '___EOS___']", "index": 246 }, { "content": " def __init__(self, max_value=None, min_value=None, *args, **kwargs):\n self.max_value, self.min_value = max_value, min_value\n if kwargs.get('localize') and self.widget == NumberInput:\n # Localized number input is not well supported on most browsers\n kwargs.setdefault('widget', super(IntegerField, self).widget)\n super(IntegerField, self).__init__(*args, **kwargs)\n\n if max_value is not None:\n self.validators.append(validators.MaxValueValidator(max_value))\n if min_value is not None:\n self.validators.append(validators.MinValueValidator(min_value))", "metadata": "root.IntegerField.__init__", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 253 }, { "content": " def to_python(self, value):\n \"\"\"\n Validates that int() can be called on the input. Returns the result\n of int(). Returns None for empty values.\n \"\"\"\n value = super(IntegerField, self).to_python(value)\n if value in self.empty_values:\n return None\n if self.localize:\n value = formats.sanitize_separators(value)\n # Strip trailing decimal and zeros.\n try:\n value = int(self.re_decimal.sub('', str(value)))\n except (ValueError, TypeError):\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n return value", "metadata": "root.IntegerField.to_python", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 265 }, { "content": " def widget_attrs(self, widget):\n attrs = super(IntegerField, self).widget_attrs(widget)\n if isinstance(widget, NumberInput):\n if self.min_value is not None:\n attrs['min'] = self.min_value\n if self.max_value is not None:\n attrs['max'] = self.max_value\n return attrs", "metadata": "root.IntegerField.widget_attrs", "header": "['class', 'IntegerField', '(', 'Field', ')', ':', '___EOS___']", "index": 282 }, { "content": "class FloatField(IntegerField):\n default_error_messages = {\n 'invalid': _('Enter a number.'),\n }\n\n\n", "metadata": "root.FloatField", "header": "['module', '___EOS___']", "index": 292 }, { "content": " def to_python(self, value):\n \"\"\"\n Validates that float() can be called on the input. Returns the result\n of float(). Returns None for empty values.\n \"\"\"\n value = super(IntegerField, self).to_python(value)\n if value in self.empty_values:\n return None\n if self.localize:\n value = formats.sanitize_separators(value)\n try:\n value = float(value)\n except (ValueError, TypeError):\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n return value", "metadata": "root.FloatField.to_python", "header": "['class', 'FloatField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 297 }, { "content": " def validate(self, value):\n super(FloatField, self).validate(value)\n\n # Check for NaN (which is the only thing not equal to itself) and +/- infinity\n if value != value or value in (Decimal('Inf'), Decimal('-Inf')):\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n\n return value", "metadata": "root.FloatField.validate", "header": "['class', 'FloatField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 313 }, { "content": " def widget_attrs(self, widget):\n attrs = super(FloatField, self).widget_attrs(widget)\n if isinstance(widget, NumberInput) and 'step' not in widget.attrs:\n attrs.setdefault('step', 'any')\n return attrs", "metadata": "root.FloatField.widget_attrs", "header": "['class', 'FloatField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 322 }, { "content": "class DecimalField(IntegerField):\n default_error_messages = {\n 'invalid': _('Enter a number.'),\n }\n\n\n\n", "metadata": "root.DecimalField", "header": "['module', '___EOS___']", "index": 329 }, { "content": " def __init__(self, max_value=None, min_value=None, max_digits=None, decimal_places=None, *args, **kwargs):\n self.max_digits, self.decimal_places = max_digits, decimal_places\n super(DecimalField, self).__init__(max_value, min_value, *args, **kwargs)\n self.validators.append(validators.DecimalValidator(max_digits, decimal_places))", "metadata": "root.DecimalField.__init__", "header": "['class', 'DecimalField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 334 }, { "content": " def to_python(self, value):\n \"\"\"\n Validates that the input is a decimal number. Returns a Decimal\n instance. Returns None for empty values. Ensures that there are no more\n than max_digits in the number, and no more than decimal_places digits\n after the decimal point.\n \"\"\"\n if value in self.empty_values:\n return None\n if self.localize:\n value = formats.sanitize_separators(value)\n value = smart_text(value).strip()\n try:\n value = Decimal(value)\n except DecimalException:\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n return value", "metadata": "root.DecimalField.to_python", "header": "['class', 'DecimalField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 339 }, { "content": " def validate(self, value):\n super(DecimalField, self).validate(value)\n if value in self.empty_values:\n return\n # Check for NaN, Inf and -Inf values. We can't compare directly for NaN,\n # since it is never equal to itself. However, NaN is the only value that\n # isn't equal to itself, so we can use this to identify NaN\n if value != value or value == Decimal(\"Inf\") or value == Decimal(\"-Inf\"):\n raise ValidationError(self.error_messages['invalid'], code='invalid')", "metadata": "root.DecimalField.validate", "header": "['class', 'DecimalField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 357 }, { "content": " def widget_attrs(self, widget):\n attrs = super(DecimalField, self).widget_attrs(widget)\n if isinstance(widget, NumberInput) and 'step' not in widget.attrs:\n if self.decimal_places is not None:\n # Use exponential notation for small values since they might\n # be parsed as 0 otherwise. ref #20765\n step = str(Decimal('1') / 10 ** self.decimal_places).lower()\n else:\n step = 'any'\n attrs.setdefault('step', step)\n return attrs", "metadata": "root.DecimalField.widget_attrs", "header": "['class', 'DecimalField', '(', 'IntegerField', ')', ':', '___EOS___']", "index": 367 }, { "content": "class BaseTemporalField(Field):\n\n\n", "metadata": "root.BaseTemporalField", "header": "['module', '___EOS___']", "index": 380 }, { "content": " def __init__(self, input_formats=None, *args, **kwargs):\n super(BaseTemporalField, self).__init__(*args, **kwargs)\n if input_formats is not None:\n self.input_formats = input_formats", "metadata": "root.BaseTemporalField.__init__", "header": "['class', 'BaseTemporalField', '(', 'Field', ')', ':', '___EOS___']", "index": 382 }, { "content": " def to_python(self, value):\n # Try to coerce the value to unicode.\n unicode_value = force_text(value, strings_only=True)\n if isinstance(unicode_value, six.text_type):\n value = unicode_value.strip()\n # If unicode, try to strptime against each input format.\n if isinstance(value, six.text_type):\n for format in self.input_formats:\n try:\n return self.strptime(value, format)\n except (ValueError, TypeError):\n continue\n raise ValidationError(self.error_messages['invalid'], code='invalid')", "metadata": "root.BaseTemporalField.to_python", "header": "['class', 'BaseTemporalField', '(', 'Field', ')', ':', '___EOS___']", "index": 387 }, { "content": " def strptime(self, value, format):\n raise NotImplementedError('Subclasses must define this method.')", "metadata": "root.BaseTemporalField.strptime", "header": "['class', 'BaseTemporalField', '(', 'Field', ')', ':', '___EOS___']", "index": 401 }, { "content": "class DateField(BaseTemporalField):\n widget = DateInput\n input_formats = formats.get_format_lazy('DATE_INPUT_FORMATS')\n default_error_messages = {\n 'invalid': _('Enter a valid date.'),\n }\n\n", "metadata": "root.DateField", "header": "['module', '___EOS___']", "index": 405 }, { "content": " def to_python(self, value):\n \"\"\"\n Validates that the input can be converted to a date. Returns a Python\n datetime.date object.\n \"\"\"\n if value in self.empty_values:\n return None\n if isinstance(value, datetime.datetime):\n return value.date()\n if isinstance(value, datetime.date):\n return value\n return super(DateField, self).to_python(value)", "metadata": "root.DateField.to_python", "header": "['class', 'DateField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 412 }, { "content": " def strptime(self, value, format):\n return datetime.datetime.strptime(force_str(value), format).date()", "metadata": "root.DateField.strptime", "header": "['class', 'DateField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 425 }, { "content": "class TimeField(BaseTemporalField):\n widget = TimeInput\n input_formats = formats.get_format_lazy('TIME_INPUT_FORMATS')\n default_error_messages = {\n 'invalid': _('Enter a valid time.')\n }\n\n", "metadata": "root.TimeField", "header": "['module', '___EOS___']", "index": 429 }, { "content": " def to_python(self, value):\n \"\"\"\n Validates that the input can be converted to a time. Returns a Python\n datetime.time object.\n \"\"\"\n if value in self.empty_values:\n return None\n if isinstance(value, datetime.time):\n return value\n return super(TimeField, self).to_python(value)", "metadata": "root.TimeField.to_python", "header": "['class', 'TimeField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 436 }, { "content": " def strptime(self, value, format):\n return datetime.datetime.strptime(force_str(value), format).time()", "metadata": "root.TimeField.strptime", "header": "['class', 'TimeField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 447 }, { "content": "class DateTimeField(BaseTemporalField):\n widget = DateTimeInput\n input_formats = formats.get_format_lazy('DATETIME_INPUT_FORMATS')\n default_error_messages = {\n 'invalid': _('Enter a valid date/time.'),\n }\n\n\n", "metadata": "root.DateTimeField", "header": "['module', '___EOS___']", "index": 451 }, { "content": " def prepare_value(self, value):\n if isinstance(value, datetime.datetime):\n value = to_current_timezone(value)\n return value", "metadata": "root.DateTimeField.prepare_value", "header": "['class', 'DateTimeField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 458 }, { "content": " def to_python(self, value):\n \"\"\"\n Validates that the input can be converted to a datetime. Returns a\n Python datetime.datetime object.\n \"\"\"\n if value in self.empty_values:\n return None\n if isinstance(value, datetime.datetime):\n return from_current_timezone(value)\n if isinstance(value, datetime.date):\n result = datetime.datetime(value.year, value.month, value.day)\n return from_current_timezone(result)\n result = super(DateTimeField, self).to_python(value)\n return from_current_timezone(result)", "metadata": "root.DateTimeField.to_python", "header": "['class', 'DateTimeField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 463 }, { "content": " def strptime(self, value, format):\n return datetime.datetime.strptime(force_str(value), format)", "metadata": "root.DateTimeField.strptime", "header": "['class', 'DateTimeField', '(', 'BaseTemporalField', ')', ':', '___EOS___']", "index": 478 }, { "content": "class DurationField(Field):\n default_error_messages = {\n 'invalid': _('Enter a valid duration.'),\n }\n\n", "metadata": "root.DurationField", "header": "['module', '___EOS___']", "index": 482 }, { "content": " def prepare_value(self, value):\n if isinstance(value, datetime.timedelta):\n return duration_string(value)\n return value", "metadata": "root.DurationField.prepare_value", "header": "['class', 'DurationField', '(', 'Field', ')', ':', '___EOS___']", "index": 487 }, { "content": " def to_python(self, value):\n if value in self.empty_values:\n return None\n if isinstance(value, datetime.timedelta):\n return value\n value = parse_duration(force_text(value))\n if value is None:\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n return value", "metadata": "root.DurationField.to_python", "header": "['class', 'DurationField', '(', 'Field', ')', ':', '___EOS___']", "index": 492 }, { "content": "class RegexField(CharField):\n\n\n\n regex = property(_get_regex, _set_regex)", "metadata": "root.RegexField", "header": "['module', '___EOS___']", "index": 503 }, { "content": " def __init__(self, regex, max_length=None, min_length=None, error_message=None, *args, **kwargs):\n \"\"\"\n regex can be either a string or a compiled regular expression object.\n error_message is an optional error message to use, if\n 'Enter a valid value' is too generic for you.\n \"\"\"\n kwargs.setdefault('strip', False)\n super(RegexField, self).__init__(max_length, min_length, *args, **kwargs)\n self._set_regex(regex)", "metadata": "root.RegexField.__init__", "header": "['class', 'RegexField', '(', 'CharField', ')', ':', '___EOS___']", "index": 504 }, { "content": " def _get_regex(self):\n return self._regex", "metadata": "root.RegexField._get_regex", "header": "['class', 'RegexField', '(', 'CharField', ')', ':', '___EOS___']", "index": 514 }, { "content": " def _set_regex(self, regex):\n if isinstance(regex, six.string_types):\n regex = re.compile(regex, re.UNICODE)\n self._regex = regex\n if hasattr(self, '_regex_validator') and self._regex_validator in self.validators:\n self.validators.remove(self._regex_validator)\n self._regex_validator = validators.RegexValidator(regex=regex)\n self.validators.append(self._regex_validator)", "metadata": "root.RegexField._set_regex", "header": "['class', 'RegexField', '(', 'CharField', ')', ':', '___EOS___']", "index": 517 }, { "content": "class EmailField(CharField):\n widget = EmailInput\n default_validators = [validators.validate_email]\n", "metadata": "root.EmailField", "header": "['module', '___EOS___']", "index": 529 }, { "content": " def clean(self, value):\n value = self.to_python(value).strip()\n return super(EmailField, self).clean(value)", "metadata": "root.EmailField.clean", "header": "['class', 'EmailField', '(', 'CharField', ')', ':', '___EOS___']", "index": 533 }, { "content": "class FileField(Field):\n widget = ClearableFileInput\n default_error_messages = {\n 'invalid': _(\"No file was submitted. Check the encoding type on the form.\"),\n 'missing': _(\"No file was submitted.\"),\n 'empty': _(\"The submitted file is empty.\"),\n 'max_length': ungettext_lazy(\n 'Ensure this filename has at most %(max)d character (it has %(length)d).',\n 'Ensure this filename has at most %(max)d characters (it has %(length)d).',\n 'max'),\n 'contradiction': _('Please either submit a file or check the clear checkbox, not both.')\n }\n\n\n\n\n", "metadata": "root.FileField", "header": "['module', '___EOS___']", "index": 538 }, { "content": " def __init__(self, *args, **kwargs):\n self.max_length = kwargs.pop('max_length', None)\n self.allow_empty_file = kwargs.pop('allow_empty_file', False)\n super(FileField, self).__init__(*args, **kwargs)", "metadata": "root.FileField.__init__", "header": "['class', 'FileField', '(', 'Field', ')', ':', '___EOS___']", "index": 551 }, { "content": " def to_python(self, data):\n if data in self.empty_values:\n return None\n\n # UploadedFile objects should have name and size attributes.\n try:\n file_name = data.name\n file_size = data.size\n except AttributeError:\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n\n if self.max_length is not None and len(file_name) > self.max_length:\n params = {'max': self.max_length, 'length': len(file_name)}\n raise ValidationError(self.error_messages['max_length'], code='max_length', params=params)\n if not file_name:\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n if not self.allow_empty_file and not file_size:\n raise ValidationError(self.error_messages['empty'], code='empty')\n\n return data", "metadata": "root.FileField.to_python", "header": "['class', 'FileField', '(', 'Field', ')', ':', '___EOS___']", "index": 556 }, { "content": " def clean(self, data, initial=None):\n # If the widget got contradictory inputs, we raise a validation error\n if data is FILE_INPUT_CONTRADICTION:\n raise ValidationError(self.error_messages['contradiction'], code='contradiction')\n # False means the field value should be cleared; further validation is\n # not needed.\n if data is False:\n if not self.required:\n return False\n # If the field is required, clearing is not possible (the widget\n # shouldn't return False data in that case anyway). False is not\n # in self.empty_value; if a False value makes it this far\n # it should be validated from here on out as None (so it will be\n # caught by the required check).\n data = None\n if not data and initial:\n return initial\n return super(FileField, self).clean(data)", "metadata": "root.FileField.clean", "header": "['class', 'FileField', '(', 'Field', ')', ':', '___EOS___']", "index": 577 }, { "content": " def bound_data(self, data, initial):\n if data in (None, FILE_INPUT_CONTRADICTION):\n return initial\n return data", "metadata": "root.FileField.bound_data", "header": "['class', 'FileField', '(', 'Field', ')', ':', '___EOS___']", "index": 596 }, { "content": " def has_changed(self, initial, data):\n if data is None:\n return False\n return True", "metadata": "root.FileField.has_changed", "header": "['class', 'FileField', '(', 'Field', ')', ':', '___EOS___']", "index": 601 }, { "content": "class ImageField(FileField):\n default_error_messages = {\n 'invalid_image': _(\n \"Upload a valid image. The file you uploaded was either not an \"\n \"image or a corrupted image.\"\n ),\n }\n", "metadata": "root.ImageField", "header": "['module', '___EOS___']", "index": 607 }, { "content": " def to_python(self, data):\n \"\"\"\n Checks that the file-upload field data contains a valid image (GIF, JPG,\n PNG, possibly others -- whatever the Python Imaging Library supports).\n \"\"\"\n f = super(ImageField, self).to_python(data)\n if f is None:\n return None\n\n from PIL import Image\n\n # We need to get a file object for Pillow. We might have a path or we might\n # have to read the data into memory.\n if hasattr(data, 'temporary_file_path'):\n file = data.temporary_file_path()\n else:\n if hasattr(data, 'read'):\n file = BytesIO(data.read())\n else:\n file = BytesIO(data['content'])\n\n try:\n # load() could spot a truncated JPEG, but it loads the entire\n # image in memory, which is a DoS vector. See #3848 and #18520.\n image = Image.open(file)\n # verify() must be called immediately after the constructor.\n image.verify()\n\n # Annotating so subclasses can reuse it for their own validation\n f.image = image\n # Pillow doesn't detect the MIME type of all formats. In those\n # cases, content_type will be None.\n f.content_type = Image.MIME.get(image.format)\n except Exception:\n # Pillow doesn't recognize it as an image.\n six.reraise(ValidationError, ValidationError(\n self.error_messages['invalid_image'],\n code='invalid_image',\n ), sys.exc_info()[2])\n if hasattr(f, 'seek') and callable(f.seek):\n f.seek(0)\n return f", "metadata": "root.ImageField.to_python", "header": "['class', 'ImageField', '(', 'FileField', ')', ':', '___EOS___']", "index": 615 }, { "content": "class URLField(CharField):\n widget = URLInput\n default_error_messages = {\n 'invalid': _('Enter a valid URL.'),\n }\n default_validators = [validators.URLValidator()]\n\n", "metadata": "root.URLField", "header": "['module', '___EOS___']", "index": 659 }, { "content": " def to_python(self, value):\n\n def split_url(url):\n \"\"\"\n Returns a list of url parts via ``urlparse.urlsplit`` (or raises a\n ``ValidationError`` exception for certain).\n \"\"\"\n try:\n return list(urlsplit(url))\n except ValueError:\n # urlparse.urlsplit can raise a ValueError with some\n # misformatted URLs.\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n\n value = super(URLField, self).to_python(value)\n if value:\n url_fields = split_url(value)\n if not url_fields[0]:\n # If no URL scheme given, assume http://\n url_fields[0] = 'http'\n if not url_fields[1]:\n # Assume that if no domain is provided, that the path segment\n # contains the domain.\n url_fields[1] = url_fields[2]\n url_fields[2] = ''\n # Rebuild the url_fields list, since the domain segment may now\n # contain the path too.\n url_fields = split_url(urlunsplit(url_fields))\n value = urlunsplit(url_fields)\n return value", "metadata": "root.URLField.to_python", "header": "['class', 'URLField', '(', 'CharField', ')', ':', '___EOS___']", "index": 666 }, { "content": " def clean(self, value):\n value = self.to_python(value).strip()\n return super(URLField, self).clean(value)", "metadata": "root.URLField.clean", "header": "['class', 'URLField', '(', 'CharField', ')', ':', '___EOS___']", "index": 697 }, { "content": "class BooleanField(Field):\n widget = CheckboxInput\n\n\n", "metadata": "root.BooleanField", "header": "['module', '___EOS___']", "index": 702 }, { "content": " def to_python(self, value):\n \"\"\"Returns a Python boolean object.\"\"\"\n # Explicitly check for the string 'False', which is what a hidden field\n # will submit for False. Also check for '0', since this is what\n # RadioSelect will provide. Because bool(\"True\") == bool('1') == True,\n # we don't need to handle that explicitly.\n if isinstance(value, six.string_types) and value.lower() in ('false', '0'):\n value = False\n else:\n value = bool(value)\n return super(BooleanField, self).to_python(value)", "metadata": "root.BooleanField.to_python", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 705 }, { "content": " def validate(self, value):\n if not value and self.required:\n raise ValidationError(self.error_messages['required'], code='required')", "metadata": "root.BooleanField.validate", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 717 }, { "content": " def has_changed(self, initial, data):\n # Sometimes data or initial may be a string equivalent of a boolean\n # so we should run it through to_python first to get a boolean value\n return self.to_python(initial) != self.to_python(data)", "metadata": "root.BooleanField.has_changed", "header": "['class', 'BooleanField', '(', 'Field', ')', ':', '___EOS___']", "index": 721 }, { "content": "class NullBooleanField(BooleanField):\n \"\"\"\n A field whose valid values are None, True and False. Invalid values are\n cleaned to None.\n \"\"\"\n widget = NullBooleanSelect\n\n", "metadata": "root.NullBooleanField", "header": "['module', '___EOS___']", "index": 727 }, { "content": " def to_python(self, value):\n \"\"\"\n Explicitly checks for the string 'True' and 'False', which is what a\n hidden field will submit for True and False, for 'true' and 'false',\n which are likely to be returned by JavaScript serializations of forms,\n and for '1' and '0', which is what a RadioField will submit. Unlike\n the Booleanfield we need to explicitly check for True, because we are\n not using the bool() function\n \"\"\"\n if value in (True, 'True', 'true', '1'):\n return True\n elif value in (False, 'False', 'false', '0'):\n return False\n else:\n return None", "metadata": "root.NullBooleanField.to_python", "header": "['class', 'NullBooleanField', '(', 'BooleanField', ')', ':', '___EOS___']", "index": 734 }, { "content": " def validate(self, value):\n pass", "metadata": "root.NullBooleanField.validate", "header": "['class', 'NullBooleanField', '(', 'BooleanField', ')', ':', '___EOS___']", "index": 750 }, { "content": "class ChoiceField(Field):\n widget = Select\n default_error_messages = {\n 'invalid_choice': _('Select a valid choice. %(value)s is not one of the available choices.'),\n }\n\n\n\n\n\n choices = property(_get_choices, _set_choices)\n\n\n", "metadata": "root.ChoiceField", "header": "['module', '___EOS___']", "index": 763 }, { "content": " def __init__(self, choices=(), required=True, widget=None, label=None,\n initial=None, help_text='', *args, **kwargs):\n super(ChoiceField, self).__init__(\n required=required, widget=widget, label=label, initial=initial,\n help_text=help_text, *args, **kwargs\n )\n self.choices = choices", "metadata": "root.ChoiceField.__init__", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 769 }, { "content": " def __deepcopy__(self, memo):\n result = super(ChoiceField, self).__deepcopy__(memo)\n result._choices = copy.deepcopy(self._choices, memo)\n return result", "metadata": "root.ChoiceField.__deepcopy__", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 777 }, { "content": " def _get_choices(self):\n return self._choices", "metadata": "root.ChoiceField._get_choices", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 782 }, { "content": " def _set_choices(self, value):\n # Setting choices also sets the choices on the widget.\n # choices can be any iterable, but we call list() on it because\n # it will be consumed more than once.\n if callable(value):\n value = CallableChoiceIterator(value)\n else:\n value = list(value)\n\n self._choices = self.widget.choices = value", "metadata": "root.ChoiceField._set_choices", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 785 }, { "content": " def to_python(self, value):\n \"Returns a Unicode object.\"\n if value in self.empty_values:\n return ''\n return smart_text(value)", "metadata": "root.ChoiceField.to_python", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 798 }, { "content": " def validate(self, value):\n \"\"\"\n Validates that the input is in self.choices.\n \"\"\"\n super(ChoiceField, self).validate(value)\n if value and not self.valid_value(value):\n raise ValidationError(\n self.error_messages['invalid_choice'],\n code='invalid_choice',\n params={'value': value},\n )", "metadata": "root.ChoiceField.validate", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 804 }, { "content": " def valid_value(self, value):\n \"Check to see if the provided value is a valid choice\"\n text_value = force_text(value)\n for k, v in self.choices:\n if isinstance(v, (list, tuple)):\n # This is an optgroup, so look inside the group for options\n for k2, v2 in v:\n if value == k2 or text_value == force_text(k2):\n return True\n else:\n if value == k or text_value == force_text(k):\n return True\n return False", "metadata": "root.ChoiceField.valid_value", "header": "['class', 'ChoiceField', '(', 'Field', ')', ':', '___EOS___']", "index": 816 }, { "content": "class TypedChoiceField(ChoiceField):\n\n", "metadata": "root.TypedChoiceField", "header": "['module', '___EOS___']", "index": 831 }, { "content": " def __init__(self, *args, **kwargs):\n self.coerce = kwargs.pop('coerce', lambda val: val)\n self.empty_value = kwargs.pop('empty_value', '')\n super(TypedChoiceField, self).__init__(*args, **kwargs)", "metadata": "root.TypedChoiceField.__init__", "header": "['class', 'TypedChoiceField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 832 }, { "content": " def _coerce(self, value):\n \"\"\"\n Validate that the value can be coerced to the right type (if not empty).\n \"\"\"\n if value == self.empty_value or value in self.empty_values:\n return self.empty_value\n try:\n value = self.coerce(value)\n except (ValueError, TypeError, ValidationError):\n raise ValidationError(\n self.error_messages['invalid_choice'],\n code='invalid_choice',\n params={'value': value},\n )\n return value", "metadata": "root.TypedChoiceField._coerce", "header": "['class', 'TypedChoiceField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 837 }, { "content": " def clean(self, value):\n value = super(TypedChoiceField, self).clean(value)\n return self._coerce(value)", "metadata": "root.TypedChoiceField.clean", "header": "['class', 'TypedChoiceField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 853 }, { "content": "class MultipleChoiceField(ChoiceField):\n hidden_widget = MultipleHiddenInput\n widget = SelectMultiple\n default_error_messages = {\n 'invalid_choice': _('Select a valid choice. %(value)s is not one of the available choices.'),\n 'invalid_list': _('Enter a list of values.'),\n }\n\n\n", "metadata": "root.MultipleChoiceField", "header": "['module', '___EOS___']", "index": 858 }, { "content": " def to_python(self, value):\n if not value:\n return []\n elif not isinstance(value, (list, tuple)):\n raise ValidationError(self.error_messages['invalid_list'], code='invalid_list')\n return [smart_text(val) for val in value]", "metadata": "root.MultipleChoiceField.to_python", "header": "['class', 'MultipleChoiceField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 866 }, { "content": " def validate(self, value):\n \"\"\"\n Validates that the input is a list or tuple.\n \"\"\"\n if self.required and not value:\n raise ValidationError(self.error_messages['required'], code='required')\n # Validate that each value in the value list is in self.choices.\n for val in value:\n if not self.valid_value(val):\n raise ValidationError(\n self.error_messages['invalid_choice'],\n code='invalid_choice',\n params={'value': val},\n )", "metadata": "root.MultipleChoiceField.validate", "header": "['class', 'MultipleChoiceField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 873 }, { "content": " def has_changed(self, initial, data):\n if initial is None:\n initial = []\n if data is None:\n data = []\n if len(initial) != len(data):\n return True\n initial_set = set(force_text(value) for value in initial)\n data_set = set(force_text(value) for value in data)\n return data_set != initial_set", "metadata": "root.MultipleChoiceField.has_changed", "header": "['class', 'MultipleChoiceField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 888 }, { "content": "class TypedMultipleChoiceField(MultipleChoiceField):\n\n\n", "metadata": "root.TypedMultipleChoiceField", "header": "['module', '___EOS___']", "index": 900 }, { "content": " def __init__(self, *args, **kwargs):\n self.coerce = kwargs.pop('coerce', lambda val: val)\n self.empty_value = kwargs.pop('empty_value', [])\n super(TypedMultipleChoiceField, self).__init__(*args, **kwargs)", "metadata": "root.TypedMultipleChoiceField.__init__", "header": "['class', 'TypedMultipleChoiceField', '(', 'MultipleChoiceField', ')', ':', '___EOS___']", "index": 901 }, { "content": " def _coerce(self, value):\n \"\"\"\n Validates that the values are in self.choices and can be coerced to the\n right type.\n \"\"\"\n if value == self.empty_value or value in self.empty_values:\n return self.empty_value\n new_value = []\n for choice in value:\n try:\n new_value.append(self.coerce(choice))\n except (ValueError, TypeError, ValidationError):\n raise ValidationError(\n self.error_messages['invalid_choice'],\n code='invalid_choice',\n params={'value': choice},\n )\n return new_value", "metadata": "root.TypedMultipleChoiceField._coerce", "header": "['class', 'TypedMultipleChoiceField', '(', 'MultipleChoiceField', ')', ':', '___EOS___']", "index": 906 }, { "content": " def clean(self, value):\n value = super(TypedMultipleChoiceField, self).clean(value)\n return self._coerce(value)", "metadata": "root.TypedMultipleChoiceField.clean", "header": "['class', 'TypedMultipleChoiceField', '(', 'MultipleChoiceField', ')', ':', '___EOS___']", "index": 925 }, { "content": " def validate(self, value):\n if value != self.empty_value:\n super(TypedMultipleChoiceField, self).validate(value)\n elif self.required:\n raise ValidationError(self.error_messages['required'], code='required')", "metadata": "root.TypedMultipleChoiceField.validate", "header": "['class', 'TypedMultipleChoiceField', '(', 'MultipleChoiceField', ')', ':', '___EOS___']", "index": 929 }, { "content": "class ComboField(Field):\n \"\"\"\n A Field whose clean() method calls multiple Field clean() methods.\n \"\"\"\n", "metadata": "root.ComboField", "header": "['module', '___EOS___']", "index": 936 }, { "content": " def __init__(self, fields=(), *args, **kwargs):\n super(ComboField, self).__init__(*args, **kwargs)\n # Set 'required' to False on the individual fields, because the\n # required validation will be handled by ComboField, not by those\n # individual fields.\n for f in fields:\n f.required = False\n self.fields = fields", "metadata": "root.ComboField.__init__", "header": "['class', 'ComboField', '(', 'Field', ')', ':', '___EOS___']", "index": 940 }, { "content": " def clean(self, value):\n \"\"\"\n Validates the given value against all of self.fields, which is a\n list of Field instances.\n \"\"\"\n super(ComboField, self).clean(value)\n for field in self.fields:\n value = field.clean(value)\n return value", "metadata": "root.ComboField.clean", "header": "['class', 'ComboField', '(', 'Field', ')', ':', '___EOS___']", "index": 949 }, { "content": "class MultiValueField(Field):\n \"\"\"\n A Field that aggregates the logic of multiple Fields.\n\n Its clean() method takes a \"decompressed\" list of values, which are then\n cleaned into a single value according to self.fields. Each value in\n this list is cleaned by the corresponding field -- the first value is\n cleaned by the first field, the second value is cleaned by the second\n field, etc. Once all fields are cleaned, the list of clean values is\n \"compressed\" into a single value.\n\n Subclasses should not have to implement clean(). Instead, they must\n implement compress(), which takes a list of valid values and returns a\n \"compressed\" version of those values -- a single value.\n\n You'll probably want to use this with MultiWidget.\n \"\"\"\n default_error_messages = {\n 'invalid': _('Enter a list of values.'),\n 'incomplete': _('Enter a complete value.'),\n }\n\n\n\n\n\n", "metadata": "root.MultiValueField", "header": "['module', '___EOS___']", "index": 960 }, { "content": " def __init__(self, fields=(), *args, **kwargs):\n self.require_all_fields = kwargs.pop('require_all_fields', True)\n super(MultiValueField, self).__init__(*args, **kwargs)\n for f in fields:\n f.error_messages.setdefault('incomplete',\n self.error_messages['incomplete'])\n if self.require_all_fields:\n # Set 'required' to False on the individual fields, because the\n # required validation will be handled by MultiValueField, not\n # by those individual fields.\n f.required = False\n self.fields = fields", "metadata": "root.MultiValueField.__init__", "header": "['class', 'MultiValueField', '(', 'Field', ')', ':', '___EOS___']", "index": 982 }, { "content": " def __deepcopy__(self, memo):\n result = super(MultiValueField, self).__deepcopy__(memo)\n result.fields = tuple(x.__deepcopy__(memo) for x in self.fields)\n return result", "metadata": "root.MultiValueField.__deepcopy__", "header": "['class', 'MultiValueField', '(', 'Field', ')', ':', '___EOS___']", "index": 995 }, { "content": " def validate(self, value):\n pass", "metadata": "root.MultiValueField.validate", "header": "['class', 'MultiValueField', '(', 'Field', ')', ':', '___EOS___']", "index": 1000 }, { "content": " def clean(self, value):\n \"\"\"\n Validates every value in the given list. A value is validated against\n the corresponding Field in self.fields.\n\n For example, if this MultiValueField was instantiated with\n fields=(DateField(), TimeField()), clean() would call\n DateField.clean(value[0]) and TimeField.clean(value[1]).\n \"\"\"\n clean_data = []\n errors = []\n if not value or isinstance(value, (list, tuple)):\n if not value or not [v for v in value if v not in self.empty_values]:\n if self.required:\n raise ValidationError(self.error_messages['required'], code='required')\n else:\n return self.compress([])\n else:\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n for i, field in enumerate(self.fields):\n try:\n field_value = value[i]\n except IndexError:\n field_value = None\n if field_value in self.empty_values:\n if self.require_all_fields:\n # Raise a 'required' error if the MultiValueField is\n # required and any field is empty.\n if self.required:\n raise ValidationError(self.error_messages['required'], code='required')\n elif field.required:\n # Otherwise, add an 'incomplete' error to the list of\n # collected errors and skip field cleaning, if a required\n # field is empty.\n if field.error_messages['incomplete'] not in errors:\n errors.append(field.error_messages['incomplete'])\n continue\n try:\n clean_data.append(field.clean(field_value))\n except ValidationError as e:\n # Collect all validation errors in a single list, which we'll\n # raise at the end of clean(), rather than raising a single\n # exception for the first error we encounter. Skip duplicates.\n errors.extend(m for m in e.error_list if m not in errors)\n if errors:\n raise ValidationError(errors)\n\n out = self.compress(clean_data)\n self.validate(out)\n self.run_validators(out)\n return out", "metadata": "root.MultiValueField.clean", "header": "['class', 'MultiValueField', '(', 'Field', ')', ':', '___EOS___']", "index": 1003 }, { "content": " def compress(self, data_list):\n \"\"\"\n Returns a single value for the given list of values. The values can be\n assumed to be valid.\n\n For example, if this MultiValueField was instantiated with\n fields=(DateField(), TimeField()), this might return a datetime\n object created by combining the date and time in data_list.\n \"\"\"\n raise NotImplementedError('Subclasses must implement this method.')", "metadata": "root.MultiValueField.compress", "header": "['class', 'MultiValueField', '(', 'Field', ')', ':', '___EOS___']", "index": 1055 }, { "content": " def has_changed(self, initial, data):\n if initial is None:\n initial = ['' for x in range(0, len(data))]\n else:\n if not isinstance(initial, list):\n initial = self.widget.decompress(initial)\n for field, initial, data in zip(self.fields, initial, data):\n try:\n initial = field.to_python(initial)\n except ValidationError:\n return True\n if field.has_changed(initial, data):\n return True\n return False", "metadata": "root.MultiValueField.has_changed", "header": "['class', 'MultiValueField', '(', 'Field', ')', ':', '___EOS___']", "index": 1066 }, { "content": "class FilePathField(ChoiceField):", "metadata": "root.FilePathField", "header": "['module', '___EOS___']", "index": 1082 }, { "content": " def __init__(self, path, match=None, recursive=False, allow_files=True,\n allow_folders=False, required=True, widget=None, label=None,\n initial=None, help_text='', *args, **kwargs):\n self.path, self.match, self.recursive = path, match, recursive\n self.allow_files, self.allow_folders = allow_files, allow_folders\n super(FilePathField, self).__init__(\n choices=(), required=required, widget=widget, label=label,\n initial=initial, help_text=help_text, *args, **kwargs\n )\n\n if self.required:\n self.choices = []\n else:\n self.choices = [(\"\", \"---------\")]\n\n if self.match is not None:\n self.match_re = re.compile(self.match)\n\n if recursive:\n for root, dirs, files in sorted(os.walk(self.path)):\n if self.allow_files:\n for f in files:\n if self.match is None or self.match_re.search(f):\n f = os.path.join(root, f)\n self.choices.append((f, f.replace(path, \"\", 1)))\n if self.allow_folders:\n for f in dirs:\n if f == '__pycache__':\n continue\n if self.match is None or self.match_re.search(f):\n f = os.path.join(root, f)\n self.choices.append((f, f.replace(path, \"\", 1)))\n else:\n try:\n for f in sorted(os.listdir(self.path)):\n if f == '__pycache__':\n continue\n full_file = os.path.join(self.path, f)\n if (((self.allow_files and os.path.isfile(full_file)) or\n (self.allow_folders and os.path.isdir(full_file))) and\n (self.match is None or self.match_re.search(f))):\n self.choices.append((full_file, f))\n except OSError:\n pass\n\n self.widget.choices = self.choices", "metadata": "root.FilePathField.__init__", "header": "['class', 'FilePathField', '(', 'ChoiceField', ')', ':', '___EOS___']", "index": 1083 }, { "content": "class SplitDateTimeField(MultiValueField):\n widget = SplitDateTimeWidget\n hidden_widget = SplitHiddenDateTimeWidget\n default_error_messages = {\n 'invalid_date': _('Enter a valid date.'),\n 'invalid_time': _('Enter a valid time.'),\n }\n\n", "metadata": "root.SplitDateTimeField", "header": "['module', '___EOS___']", "index": 1131 }, { "content": " def __init__(self, input_date_formats=None, input_time_formats=None, *args, **kwargs):\n errors = self.default_error_messages.copy()\n if 'error_messages' in kwargs:\n errors.update(kwargs['error_messages'])\n localize = kwargs.get('localize', False)\n fields = (\n DateField(input_formats=input_date_formats,\n error_messages={'invalid': errors['invalid_date']},\n localize=localize),\n TimeField(input_formats=input_time_formats,\n error_messages={'invalid': errors['invalid_time']},\n localize=localize),\n )\n super(SplitDateTimeField, self).__init__(fields, *args, **kwargs)", "metadata": "root.SplitDateTimeField.__init__", "header": "['class', 'SplitDateTimeField', '(', 'MultiValueField', ')', ':', '___EOS___']", "index": 1139 }, { "content": " def compress(self, data_list):\n if data_list:\n # Raise a validation error if time or date is empty\n # (possible if SplitDateTimeField has required=False).\n if data_list[0] in self.empty_values:\n raise ValidationError(self.error_messages['invalid_date'], code='invalid_date')\n if data_list[1] in self.empty_values:\n raise ValidationError(self.error_messages['invalid_time'], code='invalid_time')\n result = datetime.datetime.combine(*data_list)\n return from_current_timezone(result)\n return None", "metadata": "root.SplitDateTimeField.compress", "header": "['class', 'SplitDateTimeField', '(', 'MultiValueField', ')', ':', '___EOS___']", "index": 1154 }, { "content": "class GenericIPAddressField(CharField):\n", "metadata": "root.GenericIPAddressField", "header": "['module', '___EOS___']", "index": 1167 }, { "content": " def __init__(self, protocol='both', unpack_ipv4=False, *args, **kwargs):\n self.unpack_ipv4 = unpack_ipv4\n self.default_validators = validators.ip_address_validators(protocol, unpack_ipv4)[0]\n super(GenericIPAddressField, self).__init__(*args, **kwargs)", "metadata": "root.GenericIPAddressField.__init__", "header": "['class', 'GenericIPAddressField', '(', 'CharField', ')', ':', '___EOS___']", "index": 1168 }, { "content": " def to_python(self, value):\n if value in self.empty_values:\n return ''\n value = value.strip()\n if value and ':' in value:\n return clean_ipv6_address(value, self.unpack_ipv4)\n return value", "metadata": "root.GenericIPAddressField.to_python", "header": "['class', 'GenericIPAddressField', '(', 'CharField', ')', ':', '___EOS___']", "index": 1173 }, { "content": "class SlugField(CharField):\n default_validators = [validators.validate_slug]\n", "metadata": "root.SlugField", "header": "['module', '___EOS___']", "index": 1182 }, { "content": " def __init__(self, *args, **kwargs):\n self.allow_unicode = kwargs.pop('allow_unicode', False)\n if self.allow_unicode:\n self.default_validators = [validators.validate_unicode_slug]\n super(SlugField, self).__init__(*args, **kwargs)", "metadata": "root.SlugField.__init__", "header": "['class', 'SlugField', '(', 'CharField', ')', ':', '___EOS___']", "index": 1185 }, { "content": "class UUIDField(CharField):\n default_error_messages = {\n 'invalid': _('Enter a valid UUID.'),\n }\n\n", "metadata": "root.UUIDField", "header": "['module', '___EOS___']", "index": 1192 }, { "content": " def prepare_value(self, value):\n if isinstance(value, uuid.UUID):\n return value.hex\n return value", "metadata": "root.UUIDField.prepare_value", "header": "['class', 'UUIDField', '(', 'CharField', ')', ':', '___EOS___']", "index": 1197 }, { "content": " def to_python(self, value):\n value = super(UUIDField, self).to_python(value)\n if value in self.empty_values:\n return None\n if not isinstance(value, uuid.UUID):\n try:\n value = uuid.UUID(value)\n except ValueError:\n raise ValidationError(self.error_messages['invalid'], code='invalid')\n return value", "metadata": "root.UUIDField.to_python", "header": "['class', 'UUIDField', '(', 'CharField', ')', ':', '___EOS___']", "index": 1202 } ]
[ { "span": "self.widget_attrs(widget)", "start_line": 106, "start_column": 22, "end_line": 106, "end_column": 47 } ]
[ { "span": "def widget_attrs(self, widget):", "start_line": 175, "start_column": 4, "end_line": 175, "end_column": 35 }, { "span": "def widget_attrs(self, widget):", "start_line": 235, "start_column": 4, "end_line": 235, "end_column": 35 }, { "span": "def widget_attrs(self, widget):", "start_line": 282, "start_column": 4, "end_line": 282, "end_column": 35 }, { "span": "def widget_attrs(self, widget):", "start_line": 322, "start_column": 4, "end_line": 322, "end_column": 35 }, { "span": "def widget_attrs(self, widget):", "start_line": 367, "start_column": 4, "end_line": 367, "end_column": 35 } ]
1
false
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]
Imprecise assert
apache/libcloud/libcloud/test/dns/test_durabledns.py
[ { "content": " def test_list_record_types(self):\n record_types = self.driver.list_record_types()\n self.assertEqual(len(record_types), 10)\n self.assertTrue(RecordType.A in record_types)\n self.assertTrue(RecordType.AAAA in record_types)\n self.assertTrue(RecordType.CNAME in record_types)\n self.assertTrue(RecordType.HINFO in record_types)\n self.assertTrue(RecordType.MX in record_types)\n self.assertTrue(RecordType.NS in record_types)\n self.assertTrue(RecordType.PTR in record_types)\n self.assertTrue(RecordType.RP in record_types)\n self.assertTrue(RecordType.SRV in record_types)\n self.assertTrue(RecordType.TXT in record_types)", "metadata": "root.DurableDNSTests.test_list_record_types", "header": "['class', 'DurableDNSTests', '(', 'LibcloudTestCase', ')', ':', '___EOS___']", "index": 46 } ]
[ { "span": "self.assertTrue(RecordType.A in record_types)", "start_line": 49, "start_column": 8, "end_line": 49, "end_column": 53 }, { "span": "self.assertTrue(RecordType.AAAA in record_types)", "start_line": 50, "start_column": 8, "end_line": 50, "end_column": 56 }, { "span": "self.assertTrue(RecordType.CNAME in record_types)", "start_line": 51, "start_column": 8, "end_line": 51, "end_column": 57 }, { "span": "self.assertTrue(RecordType.HINFO in record_types)", "start_line": 52, "start_column": 8, "end_line": 52, "end_column": 57 }, { "span": "self.assertTrue(RecordType.MX in record_types)", "start_line": 53, "start_column": 8, "end_line": 53, "end_column": 54 }, { "span": "self.assertTrue(RecordType.NS in record_types)", "start_line": 54, "start_column": 8, "end_line": 54, "end_column": 54 }, { "span": "self.assertTrue(RecordType.PTR in record_types)", "start_line": 55, "start_column": 8, "end_line": 55, "end_column": 55 }, { "span": "self.assertTrue(RecordType.RP in record_types)", "start_line": 56, "start_column": 8, "end_line": 56, "end_column": 54 }, { "span": "self.assertTrue(RecordType.SRV in record_types)", "start_line": 57, "start_column": 8, "end_line": 57, "end_column": 55 }, { "span": "self.assertTrue(RecordType.TXT in record_types)", "start_line": 58, "start_column": 8, "end_line": 58, "end_column": 55 } ]
[]
1
true
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Unused local variable
rizar/attention-lvcsr/libs/Theano/theano/tensor/nnet/abstract_conv.py
[ { "content": " def perform(self, node, inp, out_):\n img, kern = inp\n img = numpy.asarray(img)\n kern = numpy.asarray(kern)\n o, = out_\n mode = self.border_mode\n\n if not ((isinstance(mode, tuple) and min(mode) >= 0) or\n mode in ('valid', 'full', 'half')):\n raise ValueError(\n 'invalid border_mode {}, which must be either '\n '\"valid\", \"full\", \"half\", an integer or a pair of'\n ' integers'.format(mode))\n\n if mode == \"full\":\n mode = (kern.shape[2] - 1, kern.shape[3] - 1)\n elif mode == \"half\":\n mode = (kern.shape[2] // 2, kern.shape[3] // 2)\n if isinstance(mode, tuple):\n pad_h, pad_w = map(int, mode)\n mode = \"valid\"\n new_img = numpy.zeros((img.shape[0], img.shape[1],\n img.shape[2] + 2 * pad_h,\n img.shape[3] + 2 * pad_w), dtype=img.dtype)\n new_img[:, :, pad_h:img.shape[2] + pad_h, pad_w:img.shape[3] + pad_w] = img\n img = new_img\n if not self.filter_flip:\n kern = kern[:, :, ::-1, ::-1]\n conv_out = self.conv2d(img, kern, mode=\"valid\")\n conv_out = conv_out[:, :, ::self.subsample[0], ::self.subsample[1]]\n\n o[0] = node.outputs[0].type.filter(conv_out)", "metadata": "root.AbstractConv2d.perform", "header": "['class', 'AbstractConv2d', '(', 'BaseAbstractConv2d', ')', ':', '___EOS___']", "index": 502 }, { "content": " def perform(self, node, inp, out_):\n img, topgrad, shape = inp\n img = numpy.asarray(img)\n topgrad = numpy.asarray(topgrad)\n\n o, = out_\n\n mode = self.border_mode\n if not ((isinstance(mode, tuple) and min(mode) >= 0) or\n mode in ('valid', 'full', 'half')):\n raise ValueError(\n 'invalid border_mode {}, which must be either '\n '\"valid\", \"full\", \"half\", an integer or a pair of'\n ' integers'.format(mode))\n\n if mode == \"full\":\n mode = (shape[0] - 1, shape[1] - 1)\n elif mode == \"half\":\n mode = (shape[0] // 2, shape[1] // 2)\n if isinstance(mode, tuple):\n pad_h, pad_w = map(int, mode)\n mode = \"valid\"\n new_img = numpy.zeros((img.shape[0], img.shape[1],\n img.shape[2] + 2 * pad_h,\n img.shape[3] + 2 * pad_w), dtype=img.dtype)\n new_img[:, :, pad_h:img.shape[2] + pad_h, pad_w:img.shape[3] + pad_w] = img\n img = new_img\n\n if self.subsample[0] > 1 or self.subsample[1] > 1:\n new_shape = (topgrad.shape[0], topgrad.shape[1],\n img.shape[2] - shape[0] + 1,\n img.shape[3] - shape[1] + 1)\n new_topgrad = numpy.zeros((new_shape), dtype=topgrad.dtype)\n new_topgrad[:, :, ::self.subsample[0], ::self.subsample[1]] = topgrad\n topgrad = new_topgrad\n\n topgrad = topgrad.transpose(1, 0, 2, 3)[:, :, ::-1, ::-1]\n img = img.transpose(1, 0, 2, 3)\n kern = self.conv2d(img, topgrad, mode=\"valid\")\n if self.filter_flip:\n kern = kern.transpose(1, 0, 2, 3)[:, :, ::-1, ::-1]\n else:\n kern = kern.transpose(1, 0, 2, 3)\n o[0] = node.outputs[0].type.filter(kern)", "metadata": "root.AbstractConv2d_gradWeights.perform", "header": "['class', 'AbstractConv2d_gradWeights', '(', 'BaseAbstractConv2d', ')', ':', '___EOS___']", "index": 628 } ]
[ { "span": "mode ", "start_line": 522, "start_column": 12, "end_line": 522, "end_column": 16 }, { "span": "mode ", "start_line": 649, "start_column": 12, "end_line": 649, "end_column": 16 } ]
[]
1
true
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Unused import
google/grr/grr/tools/console.py
[ { "content": "#!/usr/bin/env python\n\"\"\"This is the GRR Console.\n\nWe can schedule a new flow for a specific client.\n\"\"\"\n\n\n# pylint: disable=unused-import\n# Import things that are useful from the console.\nimport collections\nimport csv\nimport datetime\nimport getpass\nimport os\nimport re\nimport sys\nimport time\n\n\n# pylint: disable=unused-import,g-bad-import-order\nfrom grr.lib import server_plugins\n# pylint: enable=g-bad-import-order\n\nimport logging\n\nfrom grr.endtoend_tests import base\nfrom grr.lib import access_control\nfrom grr.lib import aff4\nfrom grr.lib import artifact\nfrom grr.lib import artifact_utils\nfrom grr.lib import config_lib\nfrom grr.lib import console_utils\nfrom grr.lib import data_store\nfrom grr.lib import export_utils\nfrom grr.lib import flags\nfrom grr.lib import flow\nfrom grr.lib import flow_runner\nfrom grr.lib import flow_utils\nfrom grr.lib import hunts\nfrom grr.lib import ipshell\nfrom grr.lib import maintenance_utils\nfrom grr.lib import startup\nfrom grr.lib import type_info\nfrom grr.lib import utils\nfrom grr.lib import worker\n\nfrom grr.lib.aff4_objects import aff4_grr\nfrom grr.lib.aff4_objects import reports\nfrom grr.lib.aff4_objects import security\n\n# All the functions in this lib we want in local namespace.\n# pylint: disable=wildcard-import\nfrom grr.lib.console_utils import *\n# pylint: enable=wildcard-import\n\nfrom grr.lib.flows import console\nfrom grr.lib.flows.console import debugging\nfrom grr.lib.flows.general import memory\n# pylint: enable=unused-import\n\nfrom grr.tools import end_to_end_tests\n\n\nflags.DEFINE_string(\"client\", None,\n \"Initialise the console with this client id \"\n \"(e.g. C.1234345).\")\n\nflags.DEFINE_string(\"reason\", None,\n \"Create a default token with this access reason \")\n\nflags.DEFINE_string(\"code_to_execute\", None,\n \"If present, no console is started but the code given in \"\n \"the flag is run instead (comparable to the -c option of \"\n \"IPython).\")\n\nflags.DEFINE_string(\"command_file\", None,\n \"If present, no console is started but the code given in \"\n \"command file is supplied as input instead.\")\n\nflags.DEFINE_bool(\"exit_on_complete\", True,\n \"If set to False and command_file or code_to_execute is \"\n \"set we keep the console alive after the code completes.\")\n\n\n\n\n\n\nif __name__ == \"__main__\":\n flags.StartMain(main)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def Lister(arg):\n for x in arg:\n print x", "metadata": "root.Lister", "header": "['module', '___EOS___']", "index": 84 }, { "content": "def main(unused_argv):\n \"\"\"Main.\"\"\"\n banner = (\"\\nWelcome to the GRR console\\n\")\n\n config_lib.CONFIG.AddContext(\"Commandline Context\")\n config_lib.CONFIG.AddContext(\n \"Console Context\",\n \"Context applied when running the console binary.\")\n startup.Init()\n\n # To make the console easier to use, we make a default token which will be\n # used in StartFlow operations.\n data_store.default_token = access_control.ACLToken(username=getpass.getuser(),\n reason=flags.FLAGS.reason)\n\n locals_vars = {\n \"__name__\": \"GRR Console\",\n \"l\": Lister,\n \"o\": aff4.FACTORY.Open,\n\n # Bring some symbols from other modules into the console's\n # namespace.\n \"StartFlowAndWait\": flow_utils.StartFlowAndWait,\n \"StartFlowAndWorker\": debugging.StartFlowAndWorker,\n \"RunEndToEndTests\": end_to_end_tests.RunEndToEndTests,\n }\n\n locals_vars.update(globals()) # add global variables to console\n if flags.FLAGS.client is not None:\n locals_vars[\"client\"], locals_vars[\"token\"] = console_utils.OpenClient(\n client_id=flags.FLAGS.client)\n\n if flags.FLAGS.code_to_execute:\n logging.info(\"Running code from flag: %s\", flags.FLAGS.code_to_execute)\n exec(flags.FLAGS.code_to_execute) # pylint: disable=exec-used\n elif flags.FLAGS.command_file:\n logging.info(\"Running code from file: %s\", flags.FLAGS.command_file)\n execfile(flags.FLAGS.command_file)\n\n if (flags.FLAGS.exit_on_complete and\n (flags.FLAGS.code_to_execute or flags.FLAGS.command_file)):\n return\n\n else: # We want the normal shell.\n locals_vars.update(globals()) # add global variables to console\n ipshell.IPShell(argv=[], user_ns=locals_vars, banner=banner)", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 89 } ]
[ { "span": "import collections", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 18 }, { "span": "import csv", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 10 }, { "span": "import datetime", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 15 }, { "span": "import os", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 9 }, { "span": "import re", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 9 }, { "span": "import sys", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 10 }, { "span": "import time", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 11 }, { "span": "from grr.lib import server_plugins", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 34 }, { "span": "from grr.endtoend_tests import base", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 35 }, { "span": "from grr.lib import artifact", "start_line": 28, "start_column": 0, "end_line": 28, "end_column": 28 }, { "span": "from grr.lib import artifact_utils", "start_line": 29, "start_column": 0, "end_line": 29, "end_column": 34 }, { "span": "from grr.lib import export_utils", "start_line": 33, "start_column": 0, "end_line": 33, "end_column": 32 }, { "span": "from grr.lib import flow", "start_line": 35, "start_column": 0, "end_line": 35, "end_column": 24 }, { "span": "from grr.lib import flow_runner", "start_line": 36, "start_column": 0, "end_line": 36, "end_column": 31 }, { "span": "from grr.lib import hunts", "start_line": 38, "start_column": 0, "end_line": 38, "end_column": 25 }, { "span": "from grr.lib import maintenance_utils", "start_line": 40, "start_column": 0, "end_line": 40, "end_column": 37 }, { "span": "from grr.lib import type_info", "start_line": 42, "start_column": 0, "end_line": 42, "end_column": 29 }, { "span": "from grr.lib import utils", "start_line": 43, "start_column": 0, "end_line": 43, "end_column": 25 }, { "span": "from grr.lib import worker", "start_line": 44, "start_column": 0, "end_line": 44, "end_column": 26 }, { "span": "from grr.lib.aff4_objects import aff4_grr", "start_line": 46, "start_column": 0, "end_line": 46, "end_column": 41 }, { "span": "from grr.lib.aff4_objects import reports", "start_line": 47, "start_column": 0, "end_line": 47, "end_column": 40 }, { "span": "from grr.lib.aff4_objects import security", "start_line": 48, "start_column": 0, "end_line": 48, "end_column": 41 }, { "span": "from grr.lib.flows import console", "start_line": 55, "start_column": 0, "end_line": 55, "end_column": 33 }, { "span": "from grr.lib.flows.general import memory", "start_line": 57, "start_column": 0, "end_line": 57, "end_column": 40 } ]
[]
1
false
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Imprecise assert
ipython/ipython-py3k/IPython/zmq/tests/test_session.py
[ { "content": " def test_args(self):\n \"\"\"initialization arguments for Session\"\"\"\n s = self.session\n self.assertTrue(s.pack is ss.default_packer)\n self.assertTrue(s.unpack is ss.default_unpacker)\n self.assertEquals(s.username, os.environ.get('USER', 'username'))\n \n s = ss.Session()\n self.assertEquals(s.username, os.environ.get('USER', 'username'))\n \n self.assertRaises(TypeError, ss.Session, pack='hi')\n self.assertRaises(TypeError, ss.Session, unpack='hi')\n u = str(uuid.uuid4())\n s = ss.Session(username='carrot', session=u)\n self.assertEquals(s.session, u)\n self.assertEquals(s.username, 'carrot')", "metadata": "root.TestSession.test_args", "header": "['class', 'TestSession', '(', 'SessionTestCase', ')', ':', '___EOS___']", "index": 43 }, { "content": " def test_tracking(self):\n \"\"\"test tracking messages\"\"\"\n a,b = self.create_bound_pair(zmq.PAIR, zmq.PAIR)\n s = self.session\n stream = ZMQStream(a)\n msg = s.send(a, 'hello', track=False)\n self.assertTrue(msg['tracker'] is None)\n msg = s.send(a, 'hello', track=True)\n self.assertTrue(isinstance(msg['tracker'], zmq.MessageTracker))\n M = zmq.Message(b'hi there', track=True)\n msg = s.send(a, 'hello', buffers=[M], track=True)\n t = msg['tracker']\n self.assertTrue(isinstance(t, zmq.MessageTracker))\n self.assertRaises(zmq.NotDone, t.wait, .1)\n del M\n t.wait(1) # this will raise", "metadata": "root.TestSession.test_tracking", "header": "['class', 'TestSession', '(', 'SessionTestCase', ')', ':', '___EOS___']", "index": 60 }, { "content": " def test_unique_msg_ids(self):\n \"\"\"test that messages receive unique ids\"\"\"\n ids = set()\n for i in range(2**12):\n h = self.session.msg_header('test')\n msg_id = h['msg_id']\n self.assertTrue(msg_id not in ids)\n ids.add(msg_id)", "metadata": "root.TestSession.test_unique_msg_ids", "header": "['class', 'TestSession', '(', 'SessionTestCase', ')', ':', '___EOS___']", "index": 96 } ]
[ { "span": "self.assertTrue(s.pack is ss.default_packer)", "start_line": 46, "start_column": 8, "end_line": 46, "end_column": 52 }, { "span": "self.assertTrue(s.unpack is ss.default_unpacker)", "start_line": 47, "start_column": 8, "end_line": 47, "end_column": 56 }, { "span": "self.assertTrue(msg['tracker'] is None)", "start_line": 66, "start_column": 8, "end_line": 66, "end_column": 47 }, { "span": "self.assertTrue(msg_id not in ids)", "start_line": 102, "start_column": 12, "end_line": 102, "end_column": 46 } ]
[]
1
true
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Unused import
edgewall/trac/doc/conf.py
[ { "content": "# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2008-2014 Edgewall Software\n# Copyright (C) 2008 Noah Kantrowitz <[email protected]>\n# All rights reserved.\n#\n# This software is licensed as described in the file COPYING, which\n# you should have received as part of this distribution. The terms\n# are also available at http://trac.edgewall.com/license.html.\n#\n# This software consists of voluntary contributions made by many\n# individuals. For the exact contribution history, see the revision\n# history and logs, available at http://trac.edgewall.org/.\n\n# Trac documentation build configuration file, created by\n# sphinx-quickstart on Wed May 14 09:05:13 2008.\n#\n# This file is execfile()d with the current directory set to its\n# containing dir.\n#\n# The contents of this file are pickled, so don't put values in the\n# namespace that aren't pickleable (module imports are okay, they're\n# removed automatically).\n#\n# All configuration values have a default value; values that are\n# commented out serve to show the default value.\n\nimport os\nimport sys\nfrom datetime import datetime\n\nfrom trac.util import get_pkginfo\n\npkg_info = get_pkginfo(sys.modules['trac'])\n\n# General substitutions.\nproject = 'Trac'\ncopyright = '%s, Edgewall Software' % datetime.now().year\nurl = pkg_info['home_page']\n\n# The default replacements for |version| and |release|, also used in various\n# other places throughout the built documents.\n#\n# The short X.Y version.\nversion = pkg_info['version'].split('dev')[0]\n# The full version, including alpha/beta/rc tags.\nrelease = pkg_info['version']\n\n# Devel or Release mode for the documentation (if devel, include TODOs,\n# can also be used in conditionals: .. ifconfig :: devel)\ndevel = 'dev' in pkg_info['version']\n\n# If your extensions are in another directory, add it here. If the\n# directory is relative to the documentation root, use os.path.abspath\n# to make it absolute, like shown here.\n# sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))\n\n# General configuration\n# ---------------------\n\n# Add any Sphinx extension module names here, as strings.\n# They can be extensions coming with Sphinx (named 'sphinx.ext.*')\n# or your custom ones.\n\nextensions = []\n\n# -- Autodoc\n\nextensions.append('sphinx.ext.autodoc')\n\nautoclass_content = 'both'\nautodoc_member_order = 'bysource'\n\n# -- Conditional content (see setup() below)\nextensions.append('sphinx.ext.ifconfig')\n\n# -- Link to other Sphinx documentations\nextensions.append('sphinx.ext.intersphinx')\n\nintersphinx_mapping = {'python': ('http://docs.python.org/2.7', None)}\n\n# -- Keep track of :todo: items\nextensions.append('sphinx.ext.todo')\n\ntodo_include_todos = devel\n\n# -- PDF support via http://code.google.com/p/rst2pdf/\ntry:\n import rst2pdf\n extensions.append('rst2pdf.pdfbuilder')\nexcept ImportError:\n pass\n\n\n# Add any paths that contain templates here, relative to this directory.\n#templates_path = ['utils/templates']\n\n# The suffix of source filenames.\nsource_suffix = '.rst'\n\n# The master toctree document.\nmaster_doc = 'index'\n\n\n# There are two options for replacing |today|: either, you set today to some\n# non-false value, then it is used:\n#today = ''\n# Else, today_fmt is used as the format for a strftime call.\ntoday_fmt = '%B %d, %Y'\n\n# List of documents that shouldn't be included in the build.\nunused_docs = []\n\n# List of directories, relative to source directories, that shouldn't be searched\n# for source files.\nexclude_patterns = [\n]\n\n# If true, '()' will be appended to :func: etc. cross-reference text.\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#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#show_authors = False\n\n# The name of the Pygments (syntax highlighting) style to use.\npygments_style = 'trac'\n\n# The default role is a reference to some Python object\ndefault_role = 'py:obj'\n\n\n# Options for HTML output\n# -----------------------\n\n# The style sheet to use for HTML and HTML Help pages. A file of that name\n# must exist either in Sphinx' static/ path, or in one of the custom paths\n# given in html_static_path.\nhtml_style = 'tracsphinx.css'\n\nhtml_theme = 'sphinxdoc'\n\nhtml_theme_options = {\n# 'linkcolor': '#B00',\n# 'visitedlinkcolor': '#B00',\n}\n\n\n# The name for this set of Sphinx documents. If None, it defaults to\n# \"<project> v<release> documentation\".\n#html_title = None\n\n# The name of an image file (within the static path) to place at the top of\n# the sidebar.\nhtml_logo = 'images/trac_logo.png'\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 = ['utils/']\n\n# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,\n# using the given strftime format.\nhtml_last_updated_fmt = '%b %d, %Y'\n\n# If true, SmartyPants will be used to convert quotes and dashes to\n# typographically correct entities.\n#html_use_smartypants = True\n\n# Custom sidebar templates, maps document names to template names.\n#html_sidebars = {}\n\n# Additional templates that should be rendered to pages, maps page names to\n# template names.\n#html_additional_pages = {}\n\n# If false, no module index is generated.\nhtml_use_modindex = True\n\n# If true, the reST sources are included in the HTML build as _sources/<name>.\n#html_copy_source = 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#html_use_opensearch = ''\n\n# If nonempty, this is the file name suffix for HTML files (e.g. \".xhtml\").\n#html_file_suffix = ''\n\n# Output file base name for HTML help builder.\nhtmlhelp_basename = 'Tracdoc'\n\n\nmodindex_common_prefix = ['trac.', 'tracopt.']\n\n\n# Options for LaTeX output\n# ------------------------\n\n# The paper size ('letter' or 'a4').\n#latex_paper_size = 'letter'\n\n# The font size ('10pt', '11pt' or '12pt').\n#latex_font_size = '10pt'\n\n# Grouping the document tree into LaTeX files. List of tuples\n# (source start file, target name, title, author, document class [howto/manual]).\nlatex_documents = [\n ('index', 'Trac.tex', 'Trac API Documentation', 'The Trac Team', 'manual'),\n]\n\n# The name of an image file (relative to this directory) to place at the top of\n# the title page.\n#latex_logo = None\n\n# For \"manual\" documents, if this is true, then toplevel headings are parts,\n# not chapters.\n#latex_use_parts = False\n\n# Additional stuff for the LaTeX preamble.\n#latex_preamble = ''\n\n# Documents to append as an appendix to all manuals.\n#latex_appendices = []\n\n# If false, no module index is generated.\n#latex_use_modindex = True\n\n\n\n# Options for PDF output\n# ----------------------\n# (initially copied from\n# http://rst2pdf.googlecode.com/svn/tags/0.16/doc/manual.txt)\n\n# Grouping the document tree into PDF files. List of tuples\n# (source start file, target name, title, author, options).\n#\n# If there is more than one author, separate them with \\\\.\n# For example: r'Guido van Rossum\\\\Fred L. Drake, Jr., editor'\n#\n# The options element is a dictionary that lets you override\n# this config per-document.\n# For example,\n# ('index', u'MyProject', u'My Project', u'Author Name',\n# dict(pdf_compressed = True))\n# would mean that specific document would be compressed\n# regardless of the global pdf_compressed setting.\n\npdf_documents = [\n ('index', 'trac_dev', project, u'The Trac Team'),\n]\n\n# A comma-separated list of custom stylesheets (latest has higher precedence)\npdf_stylesheets = [\n 'sphinx',\n 'a4',\n 'trac',\n os.path.join(os.path.dirname(__file__), 'utils', 'trac_dev_pdf.style')\n]\n\n# Create a compressed PDF\n# Use True/False or 1/0\n# Example: compressed=True\npdf_compressed = True\n\n# A colon-separated list of folders to search for fonts. Example:\n# pdf_font_path = ['/usr/share/fonts', '/usr/share/texmf-dist/fonts/']\n\n# Language to be used for hyphenation support\npdf_language = \"en_US\"\n\n# Mode for literal blocks wider than the frame. Can be\n# overflow, shrink or truncate\npdf_fit_mode = \"shrink\"\n\n# Section level that forces a break page.\n# For example: 1 means top-level sections start in a new page\n# 0 means disabled\npdf_break_level = 1\n\n# When a section starts in a new page, force it to be 'even', 'odd',\n# or just use 'any'\n#pdf_breakside = 'any'\n\n# Insert footnotes where they are defined instead of\n# at the end.\n#pdf_inline_footnotes = True\n\n# verbosity level. 0 1 or 2\n#pdf_verbosity = 0\n\n# If false, no index is generated.\npdf_use_index = True\n\n# If false, no modindex is generated.\npdf_use_modindex = True\n\n# If false, no coverpage is generated.\n#pdf_use_coverpage = True\n\n# Name of the cover page template to use\n#pdf_cover_template = 'sphinxcover.tmpl'\n\n# Documents to append as an appendix to all manuals.\n#pdf_appendices = []\n\n# Enable experimental feature to split table cells. Use it\n# if you get \"DelayedTable too big\" errors\n#pdf_splittables = False\n\n# Set the default DPI for images\n#pdf_default_dpi = 72\n\n# Enable rst2pdf extension modules (default is only vectorpdf)\n# you need vectorpdf if you want to use sphinx's graphviz support\n#pdf_extensions = ['vectorpdf']\n\n# Page template name for \"regular\" pages\n#pdf_page_template = 'cutePage'\n\n# Show Table Of Contents at the beginning?\n#pdf_use_toc = True\n\n# How many levels deep should the table of contents be?\npdf_toc_depth = 9999\n\n# Add section number to section references\npdf_use_numbered_links = False\n\n# Background images fitting mode\npdf_fit_background_mode = 'scale'\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def setup(app):\n # adding role for linking to InterTrac targets on t.e.o\n from docutils import nodes\n from docutils.parsers.rst import roles\n\n def teo_role(name, rawtext, text, lineno, inliner, options={}, content=[]):\n # special case ticket references\n if text[0] == '#':\n ref = url + '/ticket/' + text[1:]\n else:\n ref = url + '/intertrac/' + text\n roles.set_classes(options)\n node = nodes.reference(rawtext, text, refuri=ref, **options)\n return [node], []\n roles.register_canonical_role('teo', teo_role)\n\n def extensionpoints_role(name, rawtext, text, lineno, inliner, options={},\n content=[]):\n ref = url + '/wiki/TracDev/PluginDevelopment/ExtensionPoints/' + text\n roles.set_classes(options)\n node = nodes.reference(rawtext, text + \" extension point\",\n refuri=ref, **options)\n return [node], []\n roles.register_canonical_role('extensionpoints', extensionpoints_role)\n\n # ifconfig variables\n app.add_config_value('devel', '', True)", "metadata": "root.setup", "header": "['module', '___EOS___']", "index": 338 } ]
[ { "span": "import rst2pdf", "start_line": 88, "start_column": 4, "end_line": 88, "end_column": 18 } ]
[]
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]
Imprecise assert
wq/wq.db/tests/test_auth.py
[ { "content": " def test_auth_config_json(self):\n response = self.client.get('/config.json')\n result = json.loads(response.content.decode('utf-8'))\n self.assertTrue(\"login\" in result['pages'])", "metadata": "root.AuthTestCase.test_auth_config_json", "header": "['class', 'AuthTestCase', '(', 'APITestCase', ')', ':', '___EOS___']", "index": 15 }, { "content": " def test_auth_login_info(self):\n response = self.client.get('/login.json')\n result = json.loads(response.content.decode('utf-8'))\n self.assertTrue(\"user\" in result)\n self.assertTrue(\"social_auth\" in result['user'])\n account = result['user']['social_auth']['accounts'][0]\n\n self.assertEqual(account['label'], \"[email protected]\")\n self.assertEqual(account['provider_label'], 'Google')", "metadata": "root.AuthTestCase.test_auth_login_info", "header": "['class', 'AuthTestCase', '(', 'APITestCase', ')', ':', '___EOS___']", "index": 20 } ]
[ { "span": "self.assertTrue(\"login\" in result['pages'])", "start_line": 18, "start_column": 8, "end_line": 18, "end_column": 51 }, { "span": "self.assertTrue(\"user\" in result)", "start_line": 23, "start_column": 8, "end_line": 23, "end_column": 41 }, { "span": "self.assertTrue(\"social_auth\" in result['user'])", "start_line": 24, "start_column": 8, "end_line": 24, "end_column": 56 } ]
[]
1
true
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Unused import
bryancatanzaro/copperhead/copperhead/compiler/binarygenerator.py
[ { "content": "#\n# Copyright 2008-2012 NVIDIA Corporation\n# Copyright 2009-2010 University of California\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#\n\n\nfrom __future__ import division\nimport coresyntax as S\nimport coretypes as T\nimport inspect\nimport pltools\nimport copy\nimport numpy as np\nimport parsetypes\nimport pdb\nfrom itertools import ifilter\nimport codepy.bpl\nimport codepy.cuda\nimport codepy.cgen as CG\nimport pickle\nimport os\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def prepare_compilation(M):\n from ..runtime import cuda_support\n if cuda_support:\n from ..runtime import cuda_tag\n if M.tag == cuda_tag:\n return prepare_cuda_compilation(M)\n return prepare_host_compilation(M)", "metadata": "root.prepare_compilation", "header": "['module', '___EOS___']", "index": 35 }, { "content": "def prepare_cuda_compilation(M):\n assert(len(M.entry_points) == 1)\n procedure_name = M.entry_points[0]\n hash, (wrap_type, wrap_name), wrap_args = M.wrap_info\n wrap_decl = CG.FunctionDeclaration(CG.Value(wrap_type, wrap_name),\n [CG.Value(x, y) for x, y in wrap_args])\n host_module = codepy.bpl.BoostPythonModule(max_arity=max(10,M.arity),\n use_private_namespace=False)\n host_module.add_to_preamble([\n CG.Include(\"prelude/runtime/cunp.hpp\"),\n CG.Include(\"prelude/runtime/cuarray.hpp\"),\n CG.Line('using namespace copperhead;')])\n device_module = codepy.cuda.CudaModule(host_module)\n hash_namespace_open = CG.Line('namespace %s {' % hash)\n hash_namespace_close = CG.Line('}')\n using_declaration = CG.Line('using namespace %s;' % hash)\n host_module.add_to_preamble([hash_namespace_open, wrap_decl,\n hash_namespace_close, using_declaration])\n\n host_module.add_to_init([CG.Statement(\n \"boost::python::def(\\\"%s\\\", &%s)\" % (\n procedure_name, wrap_name))])\n\n device_module.add_to_preamble(\n [CG.Include(\"prelude/prelude.h\"),\n CG.Include(\"prelude/runtime/cunp.hpp\"),\n CG.Include(\"prelude/runtime/make_cuarray.hpp\"),\n CG.Include(\"prelude/runtime/make_sequence.hpp\"),\n CG.Include(\"prelude/runtime/tuple_utilities.hpp\"),\n CG.Line('using namespace copperhead;')])\n wrapped_cuda_code = [CG.Line(M.compiler_output)]\n device_module.add_to_module(wrapped_cuda_code)\n M.device_module = device_module\n if M.compile:\n M.current_toolchains = (M.toolchains.host_toolchain,\n M.toolchains.nvcc_toolchain)\n else:\n M.current_toolchains = (M.toolchains.null_host_toolchain,\n M.toolchains.null_nvcc_toolchain)\n M.codepy_module = device_module\n M.code = (str(host_module.generate()), str(device_module.generate()))\n M.kwargs = dict(host_kwargs=dict(cache_dir=M.code_dir),\n nvcc_kwargs=dict(cache_dir=M.code_dir),\n debug=M.verbose)\n return []", "metadata": "root.prepare_cuda_compilation", "header": "['module', '___EOS___']", "index": 43 }, { "content": "def prepare_host_compilation(M):\n assert(len(M.entry_points) == 1)\n procedure_name = M.entry_points[0]\n hash, (wrap_type, wrap_name), wrap_args = M.wrap_info\n host_module = codepy.bpl.BoostPythonModule(max_arity=max(10,M.arity),\n use_private_namespace=False)\n host_module.add_to_preamble([CG.Include(\"prelude/prelude.h\"),\n CG.Include(\"prelude/runtime/cunp.hpp\"),\n CG.Include(\"prelude/runtime/make_cuarray.hpp\"),\n CG.Include(\"prelude/runtime/make_sequence.hpp\"),\n CG.Include(\"prelude/runtime/tuple_utilities.hpp\"),\n CG.Line('using namespace copperhead;')])\n\n host_module.add_to_init([CG.Statement(\n \"boost::python::def(\\\"%s\\\", &%s)\" % (\n procedure_name, wrap_name))])\n wrapped_code = [CG.Line(M.compiler_output),\n CG.Line('using namespace %s;' % hash)]\n host_module.add_to_module(wrapped_code)\n M.codepy_module = host_module\n if M.compile:\n M.current_toolchains = (M.toolchains.host_toolchain,)\n else:\n M.current_toolchains = (M.toolchains.null_host_toolchain,)\n M.code = (str(host_module.generate()),)\n M.kwargs = dict(cache_dir=M.code_dir,\n debug=M.verbose)\n return []", "metadata": "root.prepare_host_compilation", "header": "['module', '___EOS___']", "index": 89 }, { "content": "def make_binary(M):\n assert(len(M.entry_points) == 1)\n procedure_name = M.entry_points[0]\n\n code = M.code\n codepy_module = M.codepy_module\n toolchains = M.current_toolchains\n kwargs = M.kwargs\n try:\n module = codepy_module.compile(*toolchains, **kwargs)\n except Exception as e:\n if isinstance(e, NotImplementedError):\n raise e\n for m in code:\n print m\n print e\n raise e\n\n name = M.input_types.keys()[0]\n input_type = M.input_types[name]\n #Unmark name\n input_name = name[1:]\n \n copperhead_info = (input_name, input_type, M.tag)\n module_dir, module_file = os.path.split(module.__file__)\n info_file = open(os.path.join(module_dir, 'cuinfo'), 'w')\n pickle.dump(copperhead_info, info_file)\n info_file.close()\n return code, getattr(module, procedure_name)", "metadata": "root.make_binary", "header": "['module', '___EOS___']", "index": 118 } ]
[ { "span": "import coresyntax as S", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 22 }, { "span": "import coretypes as T", "start_line": 21, "start_column": 0, "end_line": 21, "end_column": 21 }, { "span": "import inspect", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 14 }, { "span": "import pltools", "start_line": 23, "start_column": 0, "end_line": 23, "end_column": 14 }, { "span": "import copy", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 11 }, { "span": "import numpy as np", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 18 }, { "span": "import parsetypes", "start_line": 26, "start_column": 0, "end_line": 26, "end_column": 17 }, { "span": "import pdb", "start_line": 27, "start_column": 0, "end_line": 27, "end_column": 10 } ]
[]
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Unused import
vishnubob/silhouette/src/utils.py
[ { "content": "import math\nimport re\n\n# units\nfrom pint import UnitRegistry\nunits = UnitRegistry()\n\n# my guess as to why 508 is the magic number is the motor steps and the belt TPI\n# i am guessing the belt is 2.54 TPI, and the motor can provide 200 steps\n# 2.54 * 200 = 508\nunits.define('steps = inch / 508.0 = step')\n\n# For SVG files, Silhouette Studio defines one inch as 72 points\nunits.define('dpi = inch / 72.0')\n\n\n## units\n\nDEFAULT_UNIT = \"mm\"\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def steps(val):\n val = unit(val, unit=None)\n return int(val.to(\"steps\").magnitude)", "metadata": "root.steps", "header": "['module', '___EOS___']", "index": 15 }, { "content": "def unit(val, **kw):\n _unit = kw.get(\"unit\", DEFAULT_UNIT)\n if _unit != None:\n _unit = units.parse_expression(_unit)\n if type(val) != units.Quantity:\n if type(val) in (int, float):\n assert _unit, \"value %r of type '%r' requires a unit definition\" % (val, type(val))\n val = val * _unit\n elif type(val) in (str, unicode):\n val = units.parse_expression(val)\n else:\n raise TypeError, \"I don't know how to convert type '%s' to a unit\" % str(type(val))\n assert type(val) == units.Quantity, \"%r != %r\" % (type(val), units.Quantity)\n if _unit:\n val = val.to(_unit)\n return val", "metadata": "root.unit", "header": "['module', '___EOS___']", "index": 23 }, { "content": "def inch2mm(inches):\n inches = unit(inches, unit=\"inch\")\n return inches.to(units.mm).magnitude", "metadata": "root.inch2mm", "header": "['module', '___EOS___']", "index": 40 }, { "content": "def mm2inch(mm):\n mm = unit(mm, unit=\"mm\")\n return mm.to(units.inch).magnitude", "metadata": "root.mm2inch", "header": "['module', '___EOS___']", "index": 44 }, { "content": "def circle(**kw):\n assert \"radius\" in kw, \"Need radius keyword argument\"\n defs = {\"steps\": 20, \"center_x\": \"0in\", \"center_y\": \"0in\", \"phase\": 0}\n _kw = defs.copy()\n _kw.update(kw)\n _steps = int(_kw[\"steps\"])\n radius = unit(_kw[\"radius\"])\n center_x = unit(_kw[\"center_x\"])\n center_y = unit(_kw[\"center_y\"])\n phase = float(_kw[\"phase\"])\n #\n if steps < 2:\n raise ValueError, \"3 or more steps are required\"\n radstep = (2 * math.pi) / float(_steps - 1)\n for rad in range(int(_steps)):\n x = math.cos(rad * radstep + phase) * radius + center_x\n y = math.sin(rad * radstep + phase) * radius + center_y\n yield (steps(x), steps(y))", "metadata": "root.circle", "header": "['module', '___EOS___']", "index": 48 } ]
[ { "span": "import re", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 9 } ]
[]
1
false
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Nested loops with same variable
VikParuchuri/simpsons-scripts/tasks/preprocess.py
[ { "content": " def predict(self, data, **kwargs):\n \"\"\"\n Used in the predict phase, after training. Override\n \"\"\"\n\n voice_scripts = []\n for i in xrange(0,data.shape[0]):\n script_lines = data['script'][i].split('\\n')\n voice_lines = []\n current_line = \"\"\n for (i,line) in enumerate(script_lines):\n current_line = current_line.strip()\n line = line.strip()\n if line.startswith(\"[\") and line.endswith(\"]\"):\n continue\n if line.startswith(\"-\"):\n continue\n voice_line = re.search('\\w+:',line)\n if voice_line is not None:\n if self.check_for_line_split(current_line):\n voice_lines.append(current_line)\n current_line = line\n elif (len(line)==0 or line.startswith(\"-\")) and len(current_line)>0:\n if self.check_for_line_split(current_line):\n voice_lines.append(current_line)\n current_line = \"\"\n voice_lines.append(\" \")\n elif len(current_line)>0:\n current_line+=\" \" + line\n script_text = \"\\n\".join([l for l in voice_lines if len(l)>0 and \"{\" not in l and \"=\" not in l])\n script_text = re.sub(\"\\[.+\\]\",\"\",script_text)\n voice_scripts.append(script_text.strip())\n\n data['voice_script'] = voice_scripts\n\n return data", "metadata": "root.CleanupScriptText.predict", "header": "['class', 'CleanupScriptText', '(', 'Task', ')', ':', '___EOS___']", "index": 142 } ]
[ { "span": "for (i,line) in enumerate(script_lines):", "start_line": 152, "start_column": 12, "end_line": 152, "end_column": 52 } ]
[ { "span": "for i in xrange(0,data.shape[0]):", "start_line": 148, "start_column": 8, "end_line": 148, "end_column": 41 } ]
1
true
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Unused import
Hipo/drf-extra-fields/drf_extra_fields/fields.py
[ { "content": "import base64\nimport binascii\nimport imghdr\nimport uuid\nfrom django.core.exceptions import ValidationError\nfrom django.core.files.base import ContentFile\nfrom django.utils import six\nfrom django.utils.translation import ugettext_lazy as _\n\nfrom rest_framework.fields import (\n DateField,\n DateTimeField,\n DictField,\n FloatField,\n ImageField,\n IntegerField,\n)\nfrom rest_framework.utils import html, humanize_datetime, representation\nfrom .compat import (\n DateRange,\n DateTimeTZRange,\n NumericRange,\n postgres_fields,\n)\n\n\nDEFAULT_CONTENT_TYPE = \"application/octet-stream\"\nALLOWED_IMAGE_TYPES = (\n \"jpeg\",\n \"jpg\",\n \"png\",\n \"gif\"\n)\n\nEMPTY_VALUES = (None, '', [], (), {})\n\n\n\n\n\n\n\n\n\n\n\n\n\nif postgres_fields is not None:\n # monkey patch modelserializer to map Native django Range fields to\n # drf_extra_fiels's Range fields.\n from rest_framework.serializers import ModelSerializer\n ModelSerializer.serializer_field_mapping[postgres_fields.DateTimeRangeField] = DateTimeRangeField\n ModelSerializer.serializer_field_mapping[postgres_fields.DateRangeField] = DateRangeField\n ModelSerializer.serializer_field_mapping[postgres_fields.IntegerRangeField] = IntegerRangeField\n ModelSerializer.serializer_field_mapping[postgres_fields.FloatRangeField] = FloatRangeField\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Base64ImageField(ImageField):\n \"\"\"\n A django-rest-framework field for handling image-uploads through raw post data.\n It uses base64 for en-/decoding the contents of the file.\n \"\"\"\n\n\n\n", "metadata": "root.Base64ImageField", "header": "['module', '___EOS___']", "index": 37 }, { "content": " def __init__(self, *args, **kwargs):\n self.represent_in_base64 = kwargs.pop('represent_in_base64', False)\n super(Base64ImageField, self).__init__(*args, **kwargs)", "metadata": "root.Base64ImageField.__init__", "header": "['class', 'Base64ImageField', '(', 'ImageField', ')', ':', '___EOS___']", "index": 43 }, { "content": " def to_internal_value(self, base64_data):\n # Check if this is a base64 string\n if base64_data in EMPTY_VALUES:\n return None\n\n if isinstance(base64_data, six.string_types):\n # Strip base64 header.\n if ';base64,' in base64_data:\n header, base64_data = base64_data.split(';base64,')\n\n # Try to decode the file. Return validation error if it fails.\n try:\n decoded_file = base64.b64decode(base64_data)\n except (TypeError, binascii.Error):\n raise ValidationError(_(\"Please upload a valid image.\"))\n # Generate file name:\n file_name = str(uuid.uuid4())[:12] # 12 characters are more than enough.\n # Get the file name extension:\n file_extension = self.get_file_extension(file_name, decoded_file)\n if file_extension not in ALLOWED_IMAGE_TYPES:\n raise ValidationError(_(\"The type of the image couldn't been determined.\"))\n complete_file_name = file_name + \".\" + file_extension\n data = ContentFile(decoded_file, name=complete_file_name)\n return super(Base64ImageField, self).to_internal_value(data)\n raise ValidationError(_('This is not an base64 string'))", "metadata": "root.Base64ImageField.to_internal_value", "header": "['class', 'Base64ImageField', '(', 'ImageField', ')', ':', '___EOS___']", "index": 47 }, { "content": " def get_file_extension(self, filename, decoded_file):\n extension = imghdr.what(filename, decoded_file)\n extension = \"jpg\" if extension == \"jpeg\" else extension\n return extension", "metadata": "root.Base64ImageField.get_file_extension", "header": "['class', 'Base64ImageField', '(', 'ImageField', ')', ':', '___EOS___']", "index": 73 }, { "content": " def to_representation(self, image):\n if self.represent_in_base64:\n try:\n with open(image.path, 'rb') as f:\n return base64.b64encode(f.read()).decode()\n except Exception:\n raise IOError(\"Error encoding image file\")\n else:\n return super(ImageField, self).to_representation(image)", "metadata": "root.Base64ImageField.to_representation", "header": "['class', 'Base64ImageField', '(', 'ImageField', ')', ':', '___EOS___']", "index": 78 }, { "content": "class RangeField(DictField):\n\n range_type = None\n\n default_error_messages = {\n 'not_a_dict': _('Expected a dictionary of items but got type \"{input_type}\".'),\n 'too_much_content': _('Extra content not allowed \"{extra}\".'),\n }\n\n", "metadata": "root.RangeField", "header": "['module', '___EOS___']", "index": 89 }, { "content": " def to_internal_value(self, data):\n \"\"\"\n Range instances <- Dicts of primitive datatypes.\n \"\"\"\n if html.is_html_input(data):\n data = html.parse_html_dict(data)\n if not isinstance(data, dict):\n self.fail('not_a_dict', input_type=type(data).__name__)\n validated_dict = {}\n for key in ('lower', 'upper'):\n try:\n value = data.pop(key)\n except KeyError:\n continue\n validated_dict[six.text_type(key)] = self.child.run_validation(value)\n for key in ('bounds', 'empty'):\n try:\n value = data.pop(key)\n except KeyError:\n continue\n validated_dict[six.text_type(key)] = value\n if data:\n self.fail('too_much_content', extra=', '.join(map(str, data.keys())))\n return self.range_type(**validated_dict)", "metadata": "root.RangeField.to_internal_value", "header": "['class', 'RangeField', '(', 'DictField', ')', ':', '___EOS___']", "index": 98 }, { "content": " def to_representation(self, value):\n \"\"\"\n Range instances -> dicts of primitive datatypes.\n \"\"\"\n if value.isempty:\n return {'empty': True}\n lower = self.child.to_representation(value.lower) if value.lower is not None else None\n upper = self.child.to_representation(value.upper) if value.upper is not None else None\n return {'lower': lower,\n 'upper': upper,\n 'bounds': value._bounds}", "metadata": "root.RangeField.to_representation", "header": "['class', 'RangeField', '(', 'DictField', ')', ':', '___EOS___']", "index": 123 }, { "content": "class IntegerRangeField(RangeField):\n child = IntegerField()\n range_type = NumericRange", "metadata": "root.IntegerRangeField", "header": "['module', '___EOS___']", "index": 136 }, { "content": "class FloatRangeField(RangeField):\n child = FloatField()\n range_type = NumericRange", "metadata": "root.FloatRangeField", "header": "['module', '___EOS___']", "index": 141 }, { "content": "class DateTimeRangeField(RangeField):\n child = DateTimeField()\n range_type = DateTimeTZRange", "metadata": "root.DateTimeRangeField", "header": "['module', '___EOS___']", "index": 146 }, { "content": "class DateRangeField(RangeField):\n child = DateField()\n range_type = DateRange", "metadata": "root.DateRangeField", "header": "['module', '___EOS___']", "index": 151 } ]
[ { "span": "from rest_framework.utils import html, humanize_datetime, representation", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 72 } ]
[]
1
false
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Unused import
enthought/mayavi/mayavi/core/ui/api.py
[ { "content": "from mayavi.tools.mlab_scene_model import MlabSceneModel\nfrom mayavi.core.ui.mayavi_scene import MayaviScene, \\\n DecoratedScene\nfrom tvtk.pyface.scene_editor import SceneEditor\nfrom mayavi.core.ui.engine_view import EngineView\nfrom mayavi.core.ui.engine_rich_view import EngineRichView\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "from mayavi.tools.mlab_scene_model import MlabSceneModel", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 56 }, { "span": "from mayavi.core.ui.mayavi_scene import MayaviScene, \\\n DecoratedScene", "start_line": 1, "start_column": 0, "end_line": 2, "end_column": 34 }, { "span": "from tvtk.pyface.scene_editor import SceneEditor", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 48 }, { "span": "from mayavi.core.ui.engine_view import EngineView", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 49 }, { "span": "from mayavi.core.ui.engine_rich_view import EngineRichView", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 58 } ]
[]
1
false
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Unused import
Miserlou/django-knockout-modeler/knockout_modeler/templatetags/knockout.py
[ { "content": "from django import template\ntry:\n import simplejson as json\nexcept ImportError, e:\n import json\nimport datetime\nfrom knockout_modeler.ko import ko, ko_data, ko_model, ko_bindings, get_fields\n\nregister = template.Library()\n\n\n\n\n\nregister.filter(knockout)\nregister.filter(knockout_data)\nregister.filter(knockout_model)\nregister.filter(knockout_bindings)", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def knockout(values):\n \"\"\"\n Knockoutify a QuerySet!\n \"\"\"\n\n if not values:\n return ''\n \n field_names = get_fields(values[0])\n return ko(values, field_names)", "metadata": "root.knockout", "header": "['module', '___EOS___']", "index": 10 }, { "content": "def knockout_data(values, args=None):\n \"\"\"\n\n \"\"\"\n if not values:\n return ''\n\n name = None\n safe = False\n\n if args:\n arg_list = [arg.strip() for arg in args.split(',')]\n if len(arg_list) > 1:\n safe = True\n else:\n safe = False\n name = arg_list[0]\n\n field_names = get_fields(values[0])\n return ko_data(values, field_names, name, safe)", "metadata": "root.knockout_data", "header": "['module', '___EOS___']", "index": 21 }, { "content": "def knockout_model(values):\n \"\"\"\n\n \"\"\"\n if not values:\n return ''\n\n field_names = get_fields(values[0])\n modelClass = values[0].__class__\n return ko_model(modelClass, field_names)", "metadata": "root.knockout_model", "header": "['module', '___EOS___']", "index": 42 }, { "content": "def knockout_bindings(values):\n \"\"\"\n\n \"\"\"\n if not values:\n return ''\n\n return ko_bindings(values[0])", "metadata": "root.knockout_bindings", "header": "['module', '___EOS___']", "index": 53 } ]
[ { "span": "import simplejson as json", "start_line": 2, "start_column": 4, "end_line": 2, "end_column": 29 }, { "span": "import json", "start_line": 4, "start_column": 4, "end_line": 4, "end_column": 15 }, { "span": "import datetime", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 15 } ]
[]
1
false
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Unused import
lsaffre/lino/docs/tutorials/workflows_tutorial/workflows.py
[ { "content": "## Copyright 2013 Luc Saffre\n## This file is part of the Lino project.\n\nfrom lino.api import dd, rt\nfrom django.utils.translation import ugettext_lazy as _\n\n \nadd = EntryStates.add_item\nadd('10', _(\"To do\"),'todo')\nadd('20', _(\"Started\"),'started')\nadd('30', _(\"Done\"),'done')\nadd('40', _(\"Sleeping\"),'sleeping')\nadd('50', _(\"Cancelled\"),'cancelled')\n\n\n\n\n\n \n \n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class EntryStates(dd.Workflow):\n pass", "metadata": "root.EntryStates", "header": "['module', '___EOS___']", "index": 6 }, { "content": "@dd.receiver(dd.pre_analyze)\ndef my_entry_workflow(sender=None,**kw):\n EntryStates.todo.add_transition(_(\"Reopen\"),states='done cancelled')\n EntryStates.todo.add_transition(WakeupEntry)\n EntryStates.started.add_transition(StartEntry)\n EntryStates.sleeping.add_transition(states=\"todo\")\n EntryStates.done.add_transition(FinishEntry)\n EntryStates.cancelled.add_transition(states='sleeping started',\n help_text=_(\"\"\"This is a rather verbose help text for the action \n which triggers transition from 'sleeping' or 'started' to 'cancelled'.\"\"\"),\n icon_name='cancel')", "metadata": "root.my_entry_workflow", "header": "['module', '___EOS___']", "index": 17 }, { "content": "class StartEntry(dd.ChangeStateAction):\n label = _(\"Start\")\n help_text = _(\"This action is not allowed when company, body or subject is empty.\")\n required_states = 'todo cancelled'", "metadata": "root.StartEntry", "header": "['module', '___EOS___']", "index": 30 }, { "content": " def get_action_permission(self,ar,obj,state):\n # cannot start entries with empty company, subject or body fields\n if not obj.company or not obj.subject or not obj.body:\n return False\n return super(StartEntry,self).get_action_permission(ar,obj,state)", "metadata": "root.StartEntry.get_action_permission", "header": "['class', 'StartEntry', '(', 'dd', '.', 'ChangeStateAction', ')', ':', '___EOS___']", "index": 34 }, { "content": "class FinishEntry(StartEntry):\n icon_name='accept'\n label = _(\"Finish\")\n required_states = 'todo started'\n help_text = _(\"Inherts from StartEntry and thus is not allowed when company, body or subject is empty.\")", "metadata": "root.FinishEntry", "header": "['module', '___EOS___']", "index": 40 }, { "content": "class WakeupEntry(dd.ChangeStateAction,dd.NotifyingAction):\n label = _(\"Wake up\")\n required_states = 'sleeping'\n # in our example waking up an antry will send a notification", "metadata": "root.WakeupEntry", "header": "['module', '___EOS___']", "index": 46 }, { "content": " def get_notify_subject(self,ar,obj):\n return _(\"Entry %s has been reactivated!\") % obj", "metadata": "root.WakeupEntry.get_notify_subject", "header": "['class', 'WakeupEntry', '(', 'dd', '.', 'ChangeStateAction', ',', 'dd', '.', 'NotifyingAction', ')', ':', '___EOS___']", "index": 50 } ]
[ { "span": "from lino.api import dd, rt", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 27 } ]
[]
1
false
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Unnecessary pass
babble/babble/include/jython/Lib/test/test_dis.py
[ { "content": "def bug1333982(x=[]):\n assert 0, ([s for s in x] +\n 1)\n pass", "metadata": "root.bug1333982", "header": "['module', '___EOS___']", "index": 49 } ]
[ { "span": "pass", "start_line": 52, "start_column": 4, "end_line": 52, "end_column": 8 } ]
[]
1
true
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Unused import
cloudera/hue/desktop/core/ext-py/openpyxl-2.3.0-b2/openpyxl/styles/borders.py
[ { "content": "from __future__ import absolute_import\n# Copyright (c) 2010-2015 openpyxl\n\nfrom openpyxl.compat import safe_string\nfrom openpyxl.descriptors import NoneSet, Typed, Bool, Alias\n\nfrom .colors import ColorDescriptor\nfrom .hashable import HashableObject\n\n\nBORDER_NONE = None\nBORDER_DASHDOT = 'dashDot'\nBORDER_DASHDOTDOT = 'dashDotDot'\nBORDER_DASHED = 'dashed'\nBORDER_DOTTED = 'dotted'\nBORDER_DOUBLE = 'double'\nBORDER_HAIR = 'hair'\nBORDER_MEDIUM = 'medium'\nBORDER_MEDIUMDASHDOT = 'mediumDashDot'\nBORDER_MEDIUMDASHDOTDOT = 'mediumDashDotDot'\nBORDER_MEDIUMDASHED = 'mediumDashed'\nBORDER_SLANTDASHDOT = 'slantDashDot'\nBORDER_THICK = 'thick'\nBORDER_THIN = 'thin'\n\n\n\n\n\nDEFAULT_BORDER = Border()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Side(HashableObject):\n\n \"\"\"Border options for use in styles.\n Caution: if you do not specify a border_style, other attributes will\n have no effect !\"\"\"\n\n __fields__ = ('style',\n 'color')\n\n color = ColorDescriptor(allow_none=True)\n style = NoneSet(values=('dashDot','dashDotDot', 'dashed','dotted',\n 'double','hair', 'medium', 'mediumDashDot', 'mediumDashDotDot',\n 'mediumDashed', 'slantDashDot', 'thick', 'thin')\n )\n border_style = Alias('style')\n", "metadata": "root.Side", "header": "['module', '___EOS___']", "index": 26 }, { "content": " def __init__(self, style=None, color=None, border_style=None):\n if border_style is not None:\n style = border_style\n self.style = style\n self.color = color", "metadata": "root.Side.__init__", "header": "['class', 'Side', '(', 'HashableObject', ')', ':', '___EOS___']", "index": 42 }, { "content": "class Border(HashableObject):\n \"\"\"Border positioning for use in styles.\"\"\"\n\n tagname = \"border\"\n\n __fields__ = ('left',\n 'right',\n 'top',\n 'bottom',\n 'diagonal',\n 'diagonal_direction',\n 'vertical',\n 'horizontal')\n __elements__ = ('start', 'end', 'left', 'right', 'top', 'bottom',\n 'diagonal', 'vertical', 'horizontal')\n\n # child elements\n start = Typed(expected_type=Side, allow_none=True)\n end = Typed(expected_type=Side, allow_none=True)\n left = Typed(expected_type=Side, allow_none=True)\n right = Typed(expected_type=Side, allow_none=True)\n top = Typed(expected_type=Side, allow_none=True)\n bottom = Typed(expected_type=Side)\n diagonal = Typed(expected_type=Side, allow_none=True)\n vertical = Typed(expected_type=Side, allow_none=True)\n horizontal = Typed(expected_type=Side, allow_none=True)\n # attributes\n outline = Bool()\n diagonalUp = Bool()\n diagonalDown = Bool()\n\n", "metadata": "root.Border", "header": "['module', '___EOS___']", "index": 49 }, { "content": " def __init__(self, left=Side(), right=Side(), top=Side(),\n bottom=Side(), diagonal=Side(), diagonal_direction=None,\n vertical=None, horizontal=None, diagonalUp=False, diagonalDown=False,\n outline=True, start=None, end=None):\n self.left = left\n self.right = right\n self.top = top\n self.bottom = bottom\n self.diagonal = diagonal\n self.vertical = vertical\n self.horizontal = horizontal\n self.diagonal_direction = diagonal_direction\n self.diagonalUp = diagonalUp\n self.diagonalDown = diagonalDown\n self.outline = outline\n self.start = start\n self.end = end", "metadata": "root.Border.__init__", "header": "['class', 'Border', '(', 'HashableObject', ')', ':', '___EOS___']", "index": 80 }, { "content": " def __iter__(self):\n for attr in self.__attrs__:\n value = getattr(self, attr)\n if value and attr != \"outline\":\n yield attr, value\n elif attr == \"outline\" and not value:\n yield attr, value", "metadata": "root.Border.__iter__", "header": "['class', 'Border', '(', 'HashableObject', ')', ':', '___EOS___']", "index": 98 } ]
[ { "span": "from openpyxl.compat import safe_string", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 39 } ]
[]
1
false
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Except block handles 'BaseException'
kootenpv/sky/sky/crawler_plugins.py
[ { "content": " def get_template_dict(self):\n try:\n templ_dict = self.es.get(index=self.project_name + \"-crawler-template_dict\",\n doc_type='template_dict',\n id=self.plugin_name)['_source']\n templ_dict = {self.ast.literal_eval(k): v for k, v in templ_dict.items()}\n # In acually catching the NotFoundError (for which I do not want to depend\n # on importing the elasticsearch package)\n # pylint: disable=bare-except\n except:\n templ_dict = {}\n return templ_dict", "metadata": "root.CrawlElasticSearchPluginNews.get_template_dict", "header": "['class', 'CrawlElasticSearchPluginNews', '(', 'CrawlElasticSearchPlugin', ',', 'CrawlPluginNews', ')', ':', '___EOS___']", "index": 363 }, { "content": " def save_template_dict(self, templ_dict):\n if templ_dict:\n try:\n self.es.index(index=self.project_name + \"-crawler-template_dict\",\n doc_type='template_dict', id=self.plugin_name,\n body=json.dumps({repr(k): v for k, v in templ_dict.items()}))\n # In acually catching the NotFoundError (for which I do not want to depend\n # on importing the elasticsearch package)\n # pylint: disable=bare-except\n except:\n self.es.update(\n index=self.project_name + \"-crawler-template_dict\",\n doc_type='template_dict', id=self.plugin_name,\n body=json.dumps({\"doc\": {repr(k): v for k, v in templ_dict.items()}}))", "metadata": "root.CrawlElasticSearchPluginNews.save_template_dict", "header": "['class', 'CrawlElasticSearchPluginNews', '(', 'CrawlElasticSearchPlugin', ',', 'CrawlPluginNews', ')', ':', '___EOS___']", "index": 376 } ]
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[]
1
true
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Unreachable code
PythonJS/PythonJS/regtests/lang/raise.py
[ { "content": "def main():\n\ta = False\n\ttry:\n\t\traise TypeError\n\texcept TypeError:\n\t\ta = True\n\n\tTestError( a==True )\n\n\tb = False\n\ttry:\n\t\tb = True\n\texcept:\n\t\tb = False\n\n\tTestError( b==True )\n\n\tc = False\n\ttry:\n\t\traise AttributeError('name')\n\texcept AttributeError:\n\t\tc = True\n\n\tTestError( c==True )", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 4 } ]
[ { "span": "except:", "start_line": 16, "start_column": 1, "end_line": 16, "end_column": 8 } ]
[]
1
true
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Except block handles 'BaseException'
cloudkick/libcloud/test/storage/test_cloudfiles.py
[ { "content": " def test_create_container_invalid_name(self):\n try:\n container = self.driver.create_container(container_name='invalid//name/')\n except:\n pass\n else:\n self.fail('Invalid name was provided (name contains slashes), but exception was not thrown')", "metadata": "root.CloudFilesTests.test_create_container_invalid_name", "header": "['class', 'CloudFilesTests', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 115 }, { "content": " def test_create_container_invalid_name(self):\n name = ''.join([ 'x' for x in range(0, 257)])\n try:\n container = self.driver.create_container(container_name=name)\n except:\n pass\n else:\n self.fail('Invalid name was provided (name is too long), but exception was not thrown')", "metadata": "root.CloudFilesTests.test_create_container_invalid_name", "header": "['class', 'CloudFilesTests', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 123 } ]
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[]
1
true
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Unused local variable
dropbox/changes/tests/changes/api/test_project_options_index.py
[ { "content": " def test_nonsense_project(self):\n project = self.create_project()\n path_fmt = '/api/0/projects/{0}/options/'\n self.login_default_admin()\n resp = self.client.post(path_fmt.format('project-that-doesnt-exist'), data={\n 'mail.notify-author': '0',\n })\n assert resp.status_code == 404\n\n # Random UUID.\n uuid_resp = self.client.post(path_fmt.format('fc0e5c51-19c5-43f0-9e11-8c28e091e9b0'), data={\n 'mail.notify-author': '0',\n })\n assert uuid_resp.status_code == 404", "metadata": "root.ProjectOptionsTest.test_nonsense_project", "header": "['class', 'ProjectOptionsTest', '(', 'APITestCase', ')', ':', '___EOS___']", "index": 63 } ]
[ { "span": "project ", "start_line": 64, "start_column": 8, "end_line": 64, "end_column": 15 } ]
[]
1
true
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Nested loops with same variable
vmalloc/mongomock/mongomock/collection.py
[ { "content": " def _update(self, spec, document, upsert=False, manipulate=False,\n multi=False, check_keys=False, **kwargs):\n validate_is_mapping('spec', spec)\n validate_is_mapping('document', document)\n\n updated_existing = False\n upserted_id = None\n num_updated = 0\n for existing_document in itertools.chain(self._iter_documents(spec), [None]):\n # we need was_insert for the setOnInsert update operation\n was_insert = False\n # the sentinel document means we should do an upsert\n if existing_document is None:\n if not upsert or num_updated:\n continue\n _id = document.get('_id')\n to_insert = dict(spec, _id=_id) if _id else spec\n to_insert = self._expand_dots(to_insert)\n upserted_id = self._insert(self._discard_operators(to_insert))\n existing_document = self._documents[upserted_id]\n was_insert = True\n else:\n updated_existing = True\n num_updated += 1\n first = True\n subdocument = None\n for k, v in iteritems(document):\n if k == '$set':\n positional = False\n for key in iterkeys(v):\n if '$' in key:\n positional = True\n break\n if positional:\n subdocument = self._update_document_fields_positional(\n existing_document, v, spec, _set_updater, subdocument)\n continue\n\n self._update_document_fields(existing_document, v, _set_updater)\n elif k == '$setOnInsert':\n if not was_insert:\n continue\n positional = any('$' in key for key in iterkeys(v))\n if positional:\n # we use _set_updater\n subdocument = self._update_document_fields_positional(\n existing_document, v, spec, _set_updater, subdocument)\n else:\n self._update_document_fields(existing_document, v, _set_updater)\n\n elif k == '$unset':\n for field, value in iteritems(v):\n if self._has_key(existing_document, field):\n self._remove_key(existing_document, field)\n\n elif k == '$inc':\n positional = False\n for key in iterkeys(v):\n if '$' in key:\n positional = True\n break\n\n if positional:\n subdocument = self._update_document_fields_positional(\n existing_document, v, spec, _inc_updater, subdocument)\n continue\n self._update_document_fields(existing_document, v, _inc_updater)\n elif k == '$addToSet':\n for field, value in iteritems(v):\n nested_field_list = field.rsplit('.')\n if len(nested_field_list) == 1:\n if field not in existing_document:\n existing_document[field] = []\n # document should be a list append to it\n if isinstance(value, dict):\n if '$each' in value:\n # append the list to the field\n existing_document[field] += [\n obj for obj in list(value['$each'])\n if obj not in existing_document[field]]\n continue\n if value not in existing_document[field]:\n existing_document[field].append(value)\n continue\n # push to array in a nested attribute\n else:\n # create nested attributes if they do not exist\n subdocument = existing_document\n for field in nested_field_list[:-1]:\n if field not in subdocument:\n subdocument[field] = {}\n\n subdocument = subdocument[field]\n\n # we're pushing a list\n push_results = []\n if nested_field_list[-1] in subdocument:\n # if the list exists, then use that list\n push_results = subdocument[\n nested_field_list[-1]]\n\n if isinstance(value, dict) and '$each' in value:\n push_results += [\n obj for obj in list(value['$each'])\n if obj not in push_results]\n elif value not in push_results:\n push_results.append(value)\n\n subdocument[nested_field_list[-1]] = push_results\n elif k == '$pull':\n for field, value in iteritems(v):\n nested_field_list = field.rsplit('.')\n # nested fields includes a positional element\n # need to find that element\n if '$' in nested_field_list:\n if not subdocument:\n subdocument = self._get_subdocument(\n existing_document, spec, nested_field_list)\n\n # value should be a dictionary since we're pulling\n pull_results = []\n # and the last subdoc should be an array\n for obj in subdocument[nested_field_list[-1]]:\n if isinstance(obj, dict):\n for pull_key, pull_value in iteritems(value):\n if obj[pull_key] != pull_value:\n pull_results.append(obj)\n continue\n if obj != value:\n pull_results.append(obj)\n\n # cannot write to doc directly as it doesn't save to\n # existing_document\n subdocument[nested_field_list[-1]] = pull_results\n else:\n arr = existing_document\n for field in nested_field_list:\n if field not in arr:\n break\n arr = arr[field]\n if not isinstance(arr, list):\n continue\n\n if isinstance(value, dict):\n for idx, obj in enumerate(arr):\n if filter_applies(value, obj):\n del arr[idx]\n else:\n for idx, obj in enumerate(arr):\n if value == obj:\n del arr[idx]\n elif k == '$pullAll':\n for field, value in iteritems(v):\n nested_field_list = field.rsplit('.')\n if len(nested_field_list) == 1:\n if field in existing_document:\n arr = existing_document[field]\n existing_document[field] = [\n obj for obj in arr if obj not in value]\n continue\n else:\n subdocument = existing_document\n for nested_field in nested_field_list[:-1]:\n if nested_field not in subdocument:\n break\n subdocument = subdocument[nested_field]\n\n if nested_field_list[-1] in subdocument:\n arr = subdocument[nested_field_list[-1]]\n subdocument[nested_field_list[-1]] = [\n obj for obj in arr if obj not in value]\n elif k == '$push':\n for field, value in iteritems(v):\n nested_field_list = field.rsplit('.')\n if len(nested_field_list) == 1:\n if field not in existing_document:\n existing_document[field] = []\n # document should be a list\n # append to it\n if isinstance(value, dict):\n if '$each' in value:\n # append the list to the field\n existing_document[field] += list(value['$each'])\n continue\n existing_document[field].append(value)\n continue\n # nested fields includes a positional element\n # need to find that element\n elif '$' in nested_field_list:\n if not subdocument:\n subdocument = self._get_subdocument(\n existing_document, spec, nested_field_list)\n\n # we're pushing a list\n push_results = []\n if nested_field_list[-1] in subdocument:\n # if the list exists, then use that list\n push_results = subdocument[nested_field_list[-1]]\n\n if isinstance(value, dict):\n # check to see if we have the format\n # { '$each': [] }\n if '$each' in value:\n push_results += list(value['$each'])\n else:\n push_results.append(value)\n else:\n push_results.append(value)\n\n # cannot write to doc directly as it doesn't save to\n # existing_document\n subdocument[nested_field_list[-1]] = push_results\n # push to array in a nested attribute\n else:\n # create nested attributes if they do not exist\n subdocument = existing_document\n for field in nested_field_list[:-1]:\n if field not in subdocument:\n subdocument[field] = {}\n subdocument = subdocument[field]\n\n # we're pushing a list\n push_results = []\n if nested_field_list[-1] in subdocument:\n # if the list exists, then use that list\n push_results = subdocument[nested_field_list[-1]]\n\n if isinstance(value, dict) and '$each' in value:\n push_results += list(value['$each'])\n else:\n push_results.append(value)\n\n subdocument[nested_field_list[-1]] = push_results\n else:\n if first:\n # replace entire document\n for key in document.keys():\n if key.startswith('$'):\n # can't mix modifiers with non-modifiers in\n # update\n raise ValueError('field names cannot start with $ [{}]'.format(k))\n _id = spec.get('_id', existing_document.get('_id'))\n existing_document.clear()\n if _id:\n existing_document['_id'] = _id\n existing_document.update(self._internalize_dict(document))\n if existing_document['_id'] != _id:\n raise OperationFailure(\n \"The _id field cannot be changed from {0} to {1}\"\n .format(existing_document['_id'], _id))\n break\n else:\n # can't mix modifiers with non-modifiers in update\n raise ValueError(\n 'Invalid modifier specified: {}'.format(k))\n first = False\n if not multi:\n break\n\n return {\n text_type(\"connectionId\"): self._database.client._id,\n text_type(\"err\"): None,\n text_type(\"n\"): num_updated,\n text_type(\"nModified\"): num_updated if updated_existing else 0,\n text_type(\"ok\"): 1,\n text_type(\"upserted\"): upserted_id,\n text_type(\"updatedExisting\"): updated_existing,\n }", "metadata": "root.Collection._update", "header": "['class', 'Collection', '(', 'object', ')', ':', '___EOS___']", "index": 337 } ]
[ { "span": "for field in nested_field_list[:-1]:", "start_line": 425, "start_column": 28, "end_line": 425, "end_column": 64 }, { "span": "for field in nested_field_list:", "start_line": 473, "start_column": 28, "end_line": 473, "end_column": 59 }, { "span": "for field in nested_field_list[:-1]:", "start_line": 553, "start_column": 28, "end_line": 553, "end_column": 64 } ]
[ { "span": "for field, value in iteritems(v):", "start_line": 405, "start_column": 20, "end_line": 405, "end_column": 53 }, { "span": "for field, value in iteritems(v):", "start_line": 447, "start_column": 20, "end_line": 447, "end_column": 53 }, { "span": "for field, value in iteritems(v):", "start_line": 509, "start_column": 20, "end_line": 509, "end_column": 53 } ]
1
true
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]
Wrong number of arguments in a call
VisTrails/VisTrails/vistrails/core/vistrail/controller.py
[ { "content": "def vt_action(description_or_f=None):\n def get_f(f, description=None):\n def new_f(self, *args, **kwargs):\n self.flush_delayed_actions()\n action = f(self, *args, **kwargs)\n if action is not None:\n self.add_new_action(action, description)\n self.perform_action(action)\n return action\n return new_f\n\n if isinstance(description_or_f, basestring):\n d = description_or_f\n def wrap(f):\n return get_f(f, d)\n return wrap\n else:\n return get_f(description_or_f)", "metadata": "root.vt_action", "header": "['module', '___EOS___']", "index": 100 }, { "content": " def create_module_from_descriptor(self, *args, **kwargs):\n return self.create_module_from_descriptor_static(self.id_scope,\n *args, **kwargs)", "metadata": "root.VistrailController.create_module_from_descriptor", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 609 }, { "content": " def create_module(self, *args, **kwargs):\n return self.create_module_static(self.id_scope, *args, **kwargs)", "metadata": "root.VistrailController.create_module", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 666 }, { "content": " def create_connection_from_ids(self, output_id, output_port_spec,\n input_id, input_port_spec):\n output_module = self.current_pipeline.modules[output_id]\n input_module = self.current_pipeline.modules[input_id]\n return self.create_connection(output_module, output_port_spec, \n input_module, input_port_spec)", "metadata": "root.VistrailController.create_connection_from_ids", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 691 }, { "content": " def create_function(self, *args, **kwargs):\n return self.create_function_static(self.id_scope, *args, **kwargs)", "metadata": "root.VistrailController.create_function", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 788 }, { "content": " def add_module_from_descriptor(self, descriptor, x=0.0, y=0.0, \n internal_version=-1):\n module = self.create_module_from_descriptor(descriptor, x, y, \n internal_version)\n action = self.add_module_action(module)\n return module", "metadata": "root.VistrailController.add_module_from_descriptor", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 1041 }, { "content": " def add_module(self, identifier, name, namespace='', x=0.0, y=0.0, \n internal_version=-1):\n \"\"\" addModule(x: int, y: int, identifier, name: str, namespace='') \n -> Module\n Add a new module into the current pipeline\n \n \"\"\"\n module = self.create_module(identifier, name, namespace, x, y,\n internal_version)\n action = self.add_module_action(module)\n return module", "metadata": "root.VistrailController.add_module", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 1048 }, { "content": " def delete_module(self, module_id):\n \"\"\" delete_module(module_id: int) -> version id\n Delete a module from the current pipeline\n \n \"\"\"\n return self.delete_module_list([module_id])", "metadata": "root.VistrailController.delete_module", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 1060 }, { "content": " def add_connection(self, output_id, output_port_spec, \n input_id, input_port_spec):\n \"\"\" add_connection(output_id: long,\n output_port_spec: PortSpec | str,\n input_id: long,\n input_port_spec: PortSpec | str) -> Connection\n Add a new connection into Vistrail\n \n \"\"\"\n connection = \\\n self.create_connection_from_ids(output_id, output_port_spec, \n input_id, input_port_spec)\n action = self.add_connection_action(connection)\n return connection", "metadata": "root.VistrailController.add_connection", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 1126 }, { "content": " def delete_connection(self, id):\n \"\"\" delete_connection(id: int) -> version id\n Delete a connection with id 'id'\n \n \"\"\"\n return self.delete_connection_list([id])", "metadata": "root.VistrailController.delete_connection", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 1141 }, { "content": " def add_function(self, module, function_name):\n function = self.create_function(module, function_name)\n action = self.add_function_action(module, function)\n return function", "metadata": "root.VistrailController.add_function", "header": "['class', 'VistrailController', '(', 'object', ')', ':', '___EOS___']", "index": 1167 } ]
[ { "span": "self.add_module_action(module)", "start_line": 1045, "start_column": 17, "end_line": 1045, "end_column": 47 }, { "span": "self.add_module_action(module)", "start_line": 1057, "start_column": 17, "end_line": 1057, "end_column": 47 }, { "span": "self.delete_module_list([module_id])", "start_line": 1065, "start_column": 15, "end_line": 1065, "end_column": 51 }, { "span": "self.add_connection_action(connection)", "start_line": 1138, "start_column": 17, "end_line": 1138, "end_column": 55 }, { "span": "self.delete_connection_list([id])", "start_line": 1146, "start_column": 15, "end_line": 1146, "end_column": 48 }, { "span": "self.add_function_action(module, function)", "start_line": 1169, "start_column": 17, "end_line": 1169, "end_column": 59 } ]
[ { "span": "def wrap(f):", "start_line": 113, "start_column": 8, "end_line": 113, "end_column": 20 } ]
1
false
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Imprecise assert
lvieirajr/mongorest/tests/resource/resource_meta.py
[ { "content": " def test_meta_adds_url_map_to_class_that_inherits_from_resource(self):\n class ResourceChild(Resource):\n rules = [Rule('/', methods=['GET'], endpoint='test')]\n\n def test(self, requet):\n return Response(status=999)\n\n for rule in ResourceChild.rules:\n self.assertTrue(rule in list(ResourceChild.url_map.iter_rules()))", "metadata": "root.TestResourceMeta.test_meta_adds_url_map_to_class_that_inherits_from_resource", "header": "['class', 'TestResourceMeta', '(', 'TestCase', ')', ':', '___EOS___']", "index": 12 }, { "content": " def test_meta_adds_url_map_to_class_that_inherits_from_resources_child_classes(self):\n class ResourceChild1(Resource):\n rules = [Rule('/', methods=['GET'], endpoint='test1')]\n\n def test1(self, requet):\n return Response(status=999)\n\n class ResourceChild2(Resource):\n rules = [Rule('/', methods=['GET'], endpoint='test2')]\n\n def test2(self, requet):\n return Response(status=999)\n\n class ResourceChildsChild(ResourceChild1, ResourceChild2):\n pass\n\n for rule in ResourceChild1.rules + ResourceChild2.rules:\n self.assertTrue(\n rule in list(ResourceChildsChild.url_map.iter_rules())\n )", "metadata": "root.TestResourceMeta.test_meta_adds_url_map_to_class_that_inherits_from_resources_child_classes", "header": "['class', 'TestResourceMeta', '(', 'TestCase', ')', ':', '___EOS___']", "index": 22 } ]
[ { "span": "self.assertTrue(rule in list(ResourceChild.url_map.iter_rules()))", "start_line": 20, "start_column": 12, "end_line": 20, "end_column": 77 }, { "span": "self.assertTrue(\n rule in list(ResourceChildsChild.url_map.iter_rules())\n )", "start_line": 39, "start_column": 12, "end_line": 41, "end_column": 13 } ]
[]
1
true
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Unused local variable
pingali/dgit/dgitcore/contrib/repomanagers/gitmanager.py
[ { "content": " def init(self, username, reponame, force, backend=None):\n \"\"\"\n Initialize a Git repo\n\n Parameters\n ----------\n\n username, reponame : Repo name is tuple (name, reponame)\n force: force initialization of the repo even if exists\n backend: backend that must be used for this (e.g. s3)\n \"\"\"\n key = self.key(username, reponame)\n\n # In local filesystem-based server, add a repo\n server_repodir = self.server_rootdir(username,\n reponame,\n create=False)\n\n # Force cleanup if needed\n if os.path.exists(server_repodir) and not force:\n raise RepositoryExists()\n\n if os.path.exists(server_repodir):\n shutil.rmtree(server_repodir)\n os.makedirs(server_repodir)\n\n # Initialize the repo\n with cd(server_repodir):\n git.init(\".\", \"--bare\")\n\n if backend is not None:\n backend.init_repo(server_repodir)\n\n # Now clone the filesystem-based repo\n repodir = self.rootdir(username, reponame, create=False)\n\n # Prepare it if needed\n if os.path.exists(repodir) and not force:\n raise Exception(\"Local repo already exists\")\n if os.path.exists(repodir):\n shutil.rmtree(repodir)\n os.makedirs(repodir)\n\n # Now clone...\n with cd(os.path.dirname(repodir)):\n git.clone(server_repodir, '--no-hardlinks')\n\n url = server_repodir\n if backend is not None:\n url = backend.url(username, reponame)\n\n repo = Repo(username, reponame)\n repo.manager = self\n repo.remoteurl = url\n repo.rootdir = self.rootdir(username, reponame)\n\n self.add(repo)\n return repo", "metadata": "root.GitRepoManager.init", "header": "['class', 'GitRepoManager', '(', 'RepoManagerBase', ')', ':', '___EOS___']", "index": 229 }, { "content": " def clone(self, url, backend=None):\n \"\"\"\n Clone a URL\n\n Parameters\n ----------\n\n url : URL of the repo. Supports s3://, git@, http://\n \"\"\"\n\n\n # s3://bucket/git/username/repo.git\n username = self.username\n reponame = url.split(\"/\")[-1] # with git\n reponame = reponame.replace(\".git\",\"\")\n\n key = (username, reponame)\n\n # In local filesystem-based server, add a repo\n server_repodir = self.server_rootdir(username,\n reponame,\n create=False)\n\n rootdir = self.rootdir(username, reponame, create=False)\n\n\n if backend is None:\n # Backend is standard git repo (https://, git@...)\n with cd(os.path.dirname(rootdir)):\n self._run(['clone', '--no-hardlinks', url])\n else:\n # Backend is s3\n # Sync if needed.\n if not os.path.exists(server_repodir):\n # s3 -> .dgit/git/pingali/hello.git -> .dgit/datasets/pingali/hello\n backend.clone_repo(url, server_repodir)\n\n # After sync clone,\n with cd(os.path.dirname(rootdir)):\n self._run(['clone', '--no-hardlinks', server_repodir])\n\n\n # Insert the notes push\n if True:\n configfile = os.path.join(rootdir, '.git', 'config')\n content = open(configfile).read()\n original = \"fetch = +refs/heads/*:refs/remotes/origin/*\"\n replacement =\"\"\"fetch = +refs/heads/*:refs/remotes/origin/*\\n fetch = +refs/notes/*:refs/notes/*\"\"\"\n if \"notes\" not in content:\n content = content.replace(original, replacement)\n with open(configfile, 'w') as fd:\n fd.write(content)\n\n # Pull the notes if any as well..\n with cd(rootdir):\n self._run(['pull','origin'])\n\n # Insert the object into the internal table we maintain...\n r = Repo(username, reponame)\n r.rootdir = rootdir\n r.remoteurl = url\n r.manager = self\n\n package = os.path.join(r.rootdir, 'datapackage.json')\n packagedata = open(package).read()\n r.package = json.JSONDecoder(object_pairs_hook=collections.OrderedDict).decode(packagedata)\n\n return self.add(r)", "metadata": "root.GitRepoManager.clone", "header": "['class', 'GitRepoManager', '(', 'RepoManagerBase', ')', ':', '___EOS___']", "index": 288 }, { "content": " def add_raw(self, repo, files):\n result = None\n with cd(repo.rootdir):\n try:\n result = self._run([\"add\"] + files)\n except:\n pass", "metadata": "root.GitRepoManager.add_raw", "header": "['class', 'GitRepoManager', '(', 'RepoManagerBase', ')', ':', '___EOS___']", "index": 474 } ]
[ { "span": "key ", "start_line": 240, "start_column": 8, "end_line": 240, "end_column": 11 }, { "span": "key ", "start_line": 304, "start_column": 8, "end_line": 304, "end_column": 11 }, { "span": "result ", "start_line": 478, "start_column": 16, "end_line": 478, "end_column": 22 } ]
[]
1
true
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An assert statement has a side-effect
grantjenks/sorted_containers/tests/test_coverage_sortedlist.py
[ { "content": "def test_discard():\n slt = SortedList()\n\n assert slt.discard(0) == None\n assert len(slt) == 0\n slt._check()\n\n slt = SortedList([1, 2, 2, 2, 3, 3, 5], load=4)\n\n slt.discard(6)\n slt._check()\n slt.discard(4)\n slt._check()\n slt.discard(2)\n slt._check()\n\n assert all(tup[0] == tup[1] for tup in zip(slt, [1, 2, 2, 3, 3, 5]))", "metadata": "root.test_discard", "header": "['module', '___EOS___']", "index": 81 }, { "content": "def test_remove():\n slt = SortedList()\n\n assert slt.discard(0) == None\n assert len(slt) == 0\n slt._check()\n\n slt = SortedList([1, 2, 2, 2, 3, 3, 5], load=4)\n\n slt.remove(2)\n slt._check()\n\n assert all(tup[0] == tup[1] for tup in zip(slt, [1, 2, 2, 3, 3, 5]))", "metadata": "root.test_remove", "header": "['module', '___EOS___']", "index": 99 }, { "content": "def test_pop():\n slt = SortedList(range(10), load=4)\n slt._check()\n assert slt.pop() == 9\n slt._check()\n assert slt.pop(0) == 0\n slt._check()\n assert slt.pop(-2) == 7\n slt._check()\n assert slt.pop(4) == 5\n slt._check()", "metadata": "root.test_pop", "header": "['module', '___EOS___']", "index": 534 } ]
[ { "span": "assert slt.discard(0) == None", "start_line": 84, "start_column": 4, "end_line": 84, "end_column": 33 }, { "span": "assert slt.discard(0) == None", "start_line": 102, "start_column": 4, "end_line": 102, "end_column": 33 }, { "span": "assert slt.pop() == 9", "start_line": 537, "start_column": 4, "end_line": 537, "end_column": 25 }, { "span": "assert slt.pop(0) == 0", "start_line": 539, "start_column": 4, "end_line": 539, "end_column": 26 }, { "span": "assert slt.pop(-2) == 7", "start_line": 541, "start_column": 4, "end_line": 541, "end_column": 27 }, { "span": "assert slt.pop(4) == 5", "start_line": 543, "start_column": 4, "end_line": 543, "end_column": 26 } ]
[]
1
true
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Unused import
tjguk/winsys/winsys/tests/test_acls.py
[ { "content": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nimport os, sys\nimport operator\n\nimport win32api\nimport win32con\nimport win32security\nimport ntsecuritycon\nimport tempfile\nfrom winsys._compat import unittest\n\nfrom winsys.tests import utils as testutils\nfrom winsys import accounts\nfrom winsys._security import _aces, _acls\n\neveryone, _, _ = win32security.LookupAccountName(None, \"Everyone\")\nme, _, _ = win32security.LookupAccountName(None, win32api.GetUserNameEx(win32con.NameSamCompatible))\n\n\nif __name__ == \"__main__\":\n unittest.main()\n if sys.stdout.isatty():\n raw_input(\"Press enter...\")\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@unittest.skipUnless(testutils.i_am_admin(), \"These tests must be run as Administrator\")\nclass TestACLs(unittest.TestCase):\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.TestACLs", "header": "['module', '___EOS___']", "index": 20 }, { "content": " def test_acl_None(self):\n acl = _acls.acl(None)\n assert isinstance(acl, _acls.ACL) and acl.pyobject() is None", "metadata": "root.TestACLs.test_acl_None", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 23 }, { "content": " def test_acl_PyACL(self):\n dacl = win32security.ACL()\n dacl.AddAccessAllowedAceEx(win32security.ACL_REVISION_DS, 0, ntsecuritycon.FILE_READ_DATA, everyone)\n acl = _acls.acl(dacl).pyobject()\n assert dacl.GetAceCount() == 1\n assert dacl.GetAce(0) ==((win32security.ACCESS_ALLOWED_ACE_TYPE, 0), ntsecuritycon.FILE_READ_DATA, everyone)", "metadata": "root.TestACLs.test_acl_PyACL", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 27 }, { "content": " def test_acl_ACL(self):\n acl0 = _acls.ACL()\n acl = _acls.acl(acl0)\n assert acl is acl0", "metadata": "root.TestACLs.test_acl_ACL", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 34 }, { "content": " def test_acl_iterable(self):\n daces0 = [(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Allow\")]\n def iteraces():\n for dace in daces0:\n yield dace\n assert list(_acls.dacl(iteraces())) == list(_aces.dace(dace) for dace in daces0)", "metadata": "root.TestACLs.test_acl_iterable", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 39 }, { "content": " def test_ACL_iterated(self):\n #\n # This includes a test for sorting, putting deny records first\n #\n acl = _acls.acl([(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Deny\")])\n assert list(acl) == [\n _aces.dace((\"Administrators\", \"F\", \"Deny\")),\n _aces.dace((\"Everyone\", \"R\", \"Allow\"))\n ]", "metadata": "root.TestACLs.test_ACL_iterated", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 46 }, { "content": " def test_ACL_append(self):\n acl = _acls.acl([(\"Everyone\", \"R\", \"Allow\")])\n acl.append((\"Administrators\", \"F\", \"Deny\"))\n assert list(acl) == [\n _aces.dace((\"Administrators\", \"F\", \"Deny\")),\n _aces.dace((\"Everyone\", \"R\", \"Allow\"))\n ]", "metadata": "root.TestACLs.test_ACL_append", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 56 }, { "content": " def test_ACL_getitem(self):\n acl = _acls.acl([(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Deny\")])\n #\n # Note that the list is *stored* in the order entered; it\n # is only returned(via pyobject) in sorted order.\n #\n assert acl[0] ==(\"Everyone\", \"R\", \"Allow\")", "metadata": "root.TestACLs.test_ACL_getitem", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 64 }, { "content": " def test_ACL_setitem(self):\n acl = _acls.acl([(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Deny\")])\n acl[0] =((me, \"R\", \"Allow\"))\n assert acl[0] ==(me, \"R\", \"Allow\")", "metadata": "root.TestACLs.test_ACL_setitem", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 72 }, { "content": " def test_ACL_delitem(self):\n acl = _acls.acl([(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Deny\")])\n del acl[0]\n assert list(acl) == [\n _aces.dace((\"Administrators\", \"F\", \"Deny\")),\n ]", "metadata": "root.TestACLs.test_ACL_delitem", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 77 }, { "content": " def test_ACL_len(self):\n aces = [(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Deny\")]\n acl = _acls.acl(aces)\n assert len(acl) == len(aces)", "metadata": "root.TestACLs.test_ACL_len", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 84 }, { "content": " def test_ACL_nonzero(self):\n assert not _acls.acl(None)\n assert not _acls.acl([])\n assert _acls.acl([(\"Everyone\", \"R\", \"Allow\")])", "metadata": "root.TestACLs.test_ACL_nonzero", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 89 }, { "content": " def test_ACL_contains(self):\n aces = [(\"Everyone\", \"R\", \"Allow\"),(\"Administrators\", \"F\", \"Deny\")]\n acl = _acls.acl(aces)\n for ace in aces:\n assert ace in acl\n assert(\"Everyone\", \"F\", \"Deny\") not in acl", "metadata": "root.TestACLs.test_ACL_contains", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 94 }, { "content": " def test_DACL_public(self):\n acl = _acls.DACL.public()\n assert list(acl) == [(\"Everyone\", \"F\", \"ALLOW\")]", "metadata": "root.TestACLs.test_DACL_public", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 101 }, { "content": " def test_DACL_private(self):\n acl = _acls.DACL.private()\n assert list(acl) == [(me, \"F\", \"ALLOW\")]", "metadata": "root.TestACLs.test_DACL_private", "header": "['class', 'TestACLs', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 105 } ]
[ { "span": "import os, sys", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 14 }, { "span": "import operator", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 15 }, { "span": "import tempfile", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 15 }, { "span": "from winsys import accounts", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 27 } ]
[]
1
false
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Unused import
cigroup-ol/windml/examples/missingdata/reconstruction_prediction.py
[ { "content": "\"\"\"\nPrediction with Imputated Time Series\n-------------------------------------------------------------------------\n\nThe time series of the target turbine near Reno is destroyed missing at random\n(MAR) given a certain percentage of damage. The damaged time series is\nimputated using different imputation methods: last observation carried forward\n(LOCF), linear interpolation, multiple linear regression and kNN regression.\nThe imputated time series is used for short-term wind prediction employing the\nspatio-temporal time series model with multiple linear regression. The plot\nshows the prediction MSE depending on the rate of missing data for different\nimputation methods.\n\"\"\"\n\n# Author: Jendrik Poloczek <[email protected]>\n# License: BSD 3 clause\n\nfrom windml.datasets.nrel import NREL\nfrom windml.visualization.plot_timeseries import plot_timeseries\nfrom windml.preprocessing.preprocessing import destroy\nfrom windml.preprocessing.preprocessing import interpolate\nfrom windml.preprocessing.preprocessing import repair_nrel\nfrom sklearn.neighbors import KNeighborsRegressor\nfrom sklearn import linear_model\nfrom sklearn.svm import SVR\nfrom sklearn.grid_search import GridSearchCV\nfrom sklearn.cross_validation import KFold, cross_val_score\nfrom sklearn.neighbors import KNeighborsRegressor\nfrom sklearn import linear_model\n\nfrom windml.mapping.power_mapping import PowerMapping\nfrom sklearn.neighbors import KNeighborsRegressor\n\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as md\nfrom pylab import *\nfrom matplotlib.ticker import FuncFormatter\n\nfrom numpy import array\nfrom itertools import product, chain\n\nparks = {\n 'carway': 30498,\n}\n\ntimestep = 600\nmethods = ['mreg_knn', 'mreg_lin', 'linear', 'forwardcopy']\nrates = [0.1, 0.3, 0.5, 0.7, 0.9]\ndestroy_method = 'mar'\nlabels = {'linear': 'Linear Interpolation', 'forwardcopy':'LOCF',\\\n 'mreg_knn' : 'KNN Regression','mreg_lin' : 'Linear Regression'}\n\n\n\n\n\nargfuncs = {'linear': static_linear,\n 'forwardcopy' : static_forwardcopy,\n 'mreg_knn' : static_mreg_knn,\n 'mreg_lin' : static_mreg_lin}\n\n# predict with imputated series\n\n# generating destroyed measurements which are constant over all\n# methods\n\ndata = []\n\nfor park in parks.keys():\n windpark = NREL().get_windpark_nearest(parks[park], 5, 2004)\n windpark_test = NREL().get_windpark_nearest(parks[park], 5, 2005)\n\n target = windpark.get_target()\n measurements = repair_nrel(target.get_measurements()[:10000])\n\n for i in xrange(2):\n\n damaged_series = {}\n de = lambda (rate) : (rate, (destroy(measurements, method=destroy_method, percentage=rate)[0]))\n\n dseries = map(de, rates)\n for rate, series in dseries:\n damaged_series[rate] = series\n\n # with reconstruction\n\n def run(pars):\n method, rate = pars\n mse = experiment(method, windpark, windpark_test, damaged_series[rate], rate)\n return method, rate, mse\n\n results = map(run, list(chain(product(methods, rates))))\n\n encoding = lambda method, rate, mse, park :\\\n {\"method\": method,\\\n \"rate\": rate,\\\n \"mse\": mse,\\\n \"park\" : park }\n\n results = [encoding(method, rate, mse, park) for (method, rate, mse) in results]\n\n for result in results:\n data.append(result)\n\nmse = {}\nfor result in data:\n keys = mse.keys()\n key = (result['method'], result['rate'], result['park'])\n if(key not in keys):\n mse[key] = []\n mse[key].append(result['mse'])\n\n# calculate mean and var, std\nmean = {}\nvar = {}\nstd = {}\n\nfor key in mse.keys():\n if(key not in mean.keys()):\n mean[key] = []\n mean[key] = array(mse[key]).mean()\n\nfor key in mse.keys():\n if(key not in var.keys()):\n var[key] = []\n var[key] = array(mse[key]).var()\n\nfor key in mse.keys():\n if(key not in std.keys()):\n std[key] = []\n std[key] = array(mse[key]).std()\n\n## mean of all means of parks, std for this\namean = {}\nastd = {}\nfor method in methods:\n for rate in rates:\n means = []\n for park in parks.keys():\n means.append(mean[method, rate, park])\n amean[method, rate] = array(means).mean()\n astd[method, rate] = array(means).std()\n\nwith plt.style.context(\"fivethirtyeight\"):\n park = \"carway\"\n figure = plt.figure(figsize=(8, 5))\n for method in methods:\n rmses = []\n yerrs = []\n for rate in rates:\n yerrs.append(std[method, rate, park])\n rmses.append(mean[method, rate, park])\n \n plt.errorbar(rates, rmses, yerr=yerrs,\\\n label=labels[method], linestyle=\"--\", marker=\"o\")\n\n plt.xlabel(\"Rate of Missing Data\")\n plt.ylabel(\"Prediction MSE\")\n plt.xlim([0.1, 0.9])\n plt.ylim([12.5, 16])\n plt.legend(loc=\"upper left\")\n plt.show()\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def static_mreg_knn(windpark):\n target = windpark.get_target()\n measurements = repair_nrel(target.get_measurements()[:10000])\n neighbors = windpark.get_turbines()[:-1]\n nseries = [repair_nrel(t.get_measurements()[:10000]) for t in neighbors]\n\n iargs = {'method':'mreg',\n 'timestep': timestep,\n 'neighbor_series': nseries,\n 'reg' : 'knn',\n 'regargs' : {'kfold': 5, 'n' : [5,10,20,50,100], 'variant' : 'uniform'}}\n\n return iargs, nseries", "metadata": "root.static_mreg_knn", "header": "['module', '___EOS___']", "index": 52 }, { "content": "def static_mreg_lin(windpark):\n target = windpark.get_target()\n measurements = repair_nrel(target.get_measurements()[:10000])\n neighbors = windpark.get_turbines()[:-1]\n nseries = [repair_nrel(t.get_measurements()[:10000]) for t in neighbors]\n\n iargs = {'method':'mreg',\n 'timestep': timestep,\n 'neighbor_series': nseries,\n 'reg' : 'linear_model'}\n return iargs, nseries", "metadata": "root.static_mreg_lin", "header": "['module', '___EOS___']", "index": 66 }, { "content": "def static_linear(windpark):\n target = windpark.get_target()\n measurements = repair_nrel(target.get_measurements()[:10000])\n neighbors = windpark.get_turbines()[:-1]\n nseries = [repair_nrel(t.get_measurements()[:10000]) for t in neighbors]\n\n return {'method':'linear','timestep': timestep}, nseries", "metadata": "root.static_linear", "header": "['module', '___EOS___']", "index": 78 }, { "content": "def static_forwardcopy(windpark):\n target = windpark.get_target()\n measurements = repair_nrel(target.get_measurements()[:10000])\n neighbors = windpark.get_turbines()[:-1]\n nseries = [repair_nrel(t.get_measurements()[:10000]) for t in neighbors]\n\n return {'method':'forwardcopy','timestep': timestep}, nseries", "metadata": "root.static_forwardcopy", "header": "['module', '___EOS___']", "index": 86 }, { "content": "def experiment(method, windpark, windpark_test, damaged, rate):\n args, nseries = argfuncs[method](windpark)\n reconstructed = interpolate(damaged, **args)\n\n target = windpark.get_target()\n measurements = repair_nrel(target.get_measurements()[:10000])\n turbines = windpark.get_turbines()\n\n for t in range(len(turbines)):\n turbines[t].add_measurements(\\\n repair_nrel(turbines[t].get_measurements()[:10000]))\n\n # this is the target turbine, use the reconstructed here.\n turbines[-1].add_measurements(reconstructed)\n\n feature_window, horizon = 3,3\n\n mapping = PowerMapping()\n # with damaged\n X = mapping.get_features_park(windpark, feature_window, horizon)\n Y = mapping.get_labels_turbine(target, feature_window, horizon)\n\n train_to = int(math.floor(len(X)))\n train_step, test_step = 1, 1\n\n reg = linear_model.LinearRegression()\n reg = reg.fit(X[0:train_to:train_step], Y[0:train_to:train_step])\n\n # USE THE 2005 YEAR FOR TESTING, WITHOUT DAMAGE\n # predict on second year without damage\n\n turbines = windpark_test.get_turbines()\n for t in turbines:\n t.add_measurements(repair_nrel(t.get_measurements()[:10000]))\n target_test = windpark_test.get_target()\n\n XT = mapping.get_features_park(windpark_test, feature_window, horizon)\n test_to = int(math.floor(len(XT)))\n\n YT = mapping.get_labels_turbine(target_test, feature_window, horizon)[:test_to]\n y_hat = reg.predict(XT[:test_to])\n\n mse_y_hat = 0\n for i in range(0, len(y_hat)):\n y = YT[i]\n mse_y_hat += (y_hat[i] - y) ** 2\n\n mse_y_hat /= float(len(y_hat))\n\n return mse_y_hat", "metadata": "root.experiment", "header": "['module', '___EOS___']", "index": 100 } ]
[ { "span": "from windml.visualization.plot_timeseries import plot_timeseries", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 64 }, { "span": "from sklearn.neighbors import KNeighborsRegressor", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 49 }, { "span": "from sklearn.svm import SVR", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 27 }, { "span": "from sklearn.grid_search import GridSearchCV", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 44 }, { "span": "from sklearn.cross_validation import KFold, cross_val_score", "start_line": 26, "start_column": 0, "end_line": 26, "end_column": 59 }, { "span": "from sklearn.neighbors import KNeighborsRegressor", "start_line": 27, "start_column": 0, "end_line": 27, "end_column": 49 }, { "span": "from sklearn.neighbors import KNeighborsRegressor", "start_line": 31, "start_column": 0, "end_line": 31, "end_column": 49 }, { "span": "import matplotlib.dates as md", "start_line": 34, "start_column": 0, "end_line": 34, "end_column": 29 }, { "span": "from matplotlib.ticker import FuncFormatter", "start_line": 36, "start_column": 0, "end_line": 36, "end_column": 43 } ]
[]
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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]
Incomplete URL substring sanitization
operasoftware/tlsprober/probedb/certs/testcert.py
[ { "content": "\tdef testName(self):\n\t\timport certhandler\n\t\t\n\t\ttest = certhandler.Certificate(\n\"\"\"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\n3ItHuuG51WLQoqD0ZwV4KWMabwTW+MZMo5qxN7SN5ShLHZ4swrhovO0C7jE=\n\"\"\"\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t)\n\t\t\n\t\ttest2 = certhandler.Certificate(\n\"\"\"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\nvUxFnmG6v4SBkgPR0ml8xQ==\n\"\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\n\t\tif not test.IsSelfSigned():\n\t\t\traise\n\t\t\n\t\tif not test.IsSignedBy(test):\n\t\t\traise\n\n\t\tif not test2.IsSelfSigned():\n\t\t\traise\n\t\t\n\t\tif not test2.IsSignedBy(test2):\n\t\t\traise\n\n\t\tif test2.IsSignedBy(test):\n\t\t\traise\n\n\t\tif test.IsSignedBy(test2):\n\t\t\traise\n\t\n\t\tif not test.IssuerNameDER() or test.IssuerNameDER() != test.SubjectNameDER():\n\t\t\traise\n\t\t\n\t\tif test.IssuerNameLine() != \"/C=US/O=SecureTrust Corporation/CN=SecureTrust CA\":\n\t\t\traise\n\t\t\n\t\tif test.SubjectNameLine() != \"/C=US/O=SecureTrust Corporation/CN=SecureTrust CA\":\n\t\t\traise\n\n\t\tif not test2.IssuerNameDER() or test2.IssuerNameDER() != test2.SubjectNameDER():\n\t\t\traise\n\t\t\n\t\ttext = test2.IssuerNameLine()\n\t\tif text != \"\"\"/O=Entrust.net/OU=www.entrust.net/CPS_2048 incorp. by ref. (limits liab.)/OU=(c) 1999 Entrust.net Limited/CN=Entrust.net Certification Authority (2048)\"\"\":\n\t\t\traise\n\t\t\n\t\tif test2.SubjectNameLine() != \"\"\"/O=Entrust.net/OU=www.entrust.net/CPS_2048 incorp. by ref. (limits liab.)/OU=(c) 1999 Entrust.net Limited/CN=Entrust.net Certification Authority (2048)\"\"\":\n\t\t\traise\n\n\t\tif test.GetSerialNumber() != \"0x0CF08E5C0816A5AD427FF0EB271859D0\":\n\t\t\traise\n\t\t\n\t\tif test2.GetSerialNumber() != 0x3863b966:\n\t\t\traise\n\t\n\t\ttest_entrust = test2\n\t\ttest_digicert = certhandler.Certificate(\n\"\"\"\nMIIEwDCCA6igAwIBAgIEOGPLSjANBgkqhkiG9w0BAQUFADCBtDEUMBIGA1UEChML\nRW50cnVzdC5uZXQxQDA+BgNVBAsUN3d3dy5lbnRydXN0Lm5ldC9DUFNfMjA0OCBp\nbmNvcnAuIGJ5IHJlZi4gKGxpbWl0cyBsaWFiLikxJTAjBgNVBAsTHChjKSAxOTk5\nIEVudHJ1c3QubmV0IExpbWl0ZWQxMzAxBgNVBAMTKkVudHJ1c3QubmV0IENlcnRp\nZmljYXRpb24gQXV0aG9yaXR5ICgyMDQ4KTAeFw0wODExMDcyMDM4NDFaFw0xNDA3\nMDEwNDAwMDBaMGMxCzAJBgNVBAYTAlVTMRUwEwYDVQQKEwxEaWdpQ2VydCBJbmMx\nGTAXBgNVBAsTEHd3dy5kaWdpY2VydC5jb20xIjAgBgNVBAMTGURpZ2lDZXJ0IEds\nb2JhbCBDQSAoMjA0OCkwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQDE\nPLzMuupi5p5CI6+0shGuYo3ZodOPzBRyGe2Z9v3eXbtZwLDCr2qZUpVXCzX/4Yb6\nr6LDwQVlJyB2LwpUJXzqK92VQVebDzvPR+gBBozFREj8By7zcoMwUZSeaTqDqYeQ\nFNlexKJ4j8E+1BlhDhrn3BqVIEG+bxfauBxB7piw+tcdNT8WpwQoE109BXWaLoae\nLLAXhyBYV+/h6lVguCxwIawpYwwQ/GC8+dUcN2TVtPseqyY5Roiky80wZ8AmeeXK\naPki1+XSsbtITJsLmFtCkuXS7Q5HMPrdJ1ZjaqUBx46v8E47G1UVRNU+TVce4ZHq\nuKCPzjpjX5aJugg+/kS7AgMBAAGjggEoMIIBJDAOBgNVHQ8BAf8EBAMCAQYwEgYD\nVR0TAQH/BAgwBgEB/wIBADAnBgNVHSUEIDAeBggrBgEFBQcDAQYIKwYBBQUHAwIG\nCCsGAQUFBwMEMDMGCCsGAQUFBwEBBCcwJTAjBggrBgEFBQcwAYYXaHR0cDovL29j\nc3AuZW50cnVzdC5uZXQwMgYDVR0fBCswKTAnoCWgI4YhaHR0cDovL2NybC5lbnRy\ndXN0Lm5ldC8yMDQ4Y2EuY3JsMBEGA1UdIAQKMAgwBgYEVR0gADAdBgNVHQ4EFgQU\nQ0lH589A0ZqokvKMisqYk8/JCA8wHwYDVR0jBBgwFoAUVeSB0RGAvtiJuQijMfmh\nJAkWuXAwGQYJKoZIhvZ9B0EABAwwChsEVjcuMQMCAIEwDQYJKoZIhvcNAQEFBQAD\nggEBAGgUlCIvPADB6IfhYPg91XNYOvbL3dNQt4AOHJu6M5wmLH4eJlpK4G0Ch6DD\nWoy9gOtIx54iyu2amOO90ACoBXMizEGGmR1Z2C5UeiTedov3g3fJIOqH7O/rd41L\nGaYm4AzKRwsNZXoOTukUSQA7vdSTI4sdZQ6gmElqJ/ZgalGAy5ZJSWSLSeXcB5+Z\nCeVoGPLjq2rh62N6JS3J/j8Jn/gBDNVzbBa5BBySBTT/Ow+hDgGJV8sD35z/aF8Z\nW5VX4pNfSbzSPS8U26jGpmEqrqHAdgTgK8OVHVa40o7K4K6/E7CRO+v/6Ts2pP2N\nBihOJhXLn+HbRoukESiGrQOxT3U=\n\"\"\"\t\t\t\t\t\t\t\t\t\t)\n\t\t\n\t\ttest_bugs = certhandler.Certificate(\n\"\"\"\t\t\t\t\t\t\t\t\t\t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\n\"\"\"\n\t\t\t\t\t\t\t\t\t\t)\n\t\t\n\t\tif not test_digicert.IsSignedBy(test_entrust):\n\t\t\traise\n\n\t\tif not test_bugs.IsSignedBy(test_digicert):\n\t\t\traise\n\t\t\n\t\thostnames = test_bugs.ExtractHostnames();\n\t\tif \"SAN_DNS\" not in hostnames or \"Common Name\" not in hostnames:\n\t\t\traise\n\n\t\ttemp = hostnames[\"Common Name\"]\n\t\tif not (len(temp) == 1 and\n\t\t\t\t'bugs.opera.com' in temp):\n\t\t\traise\n\t\t\t\n\t\ttemp = hostnames[\"SAN_DNS\"]\n\t\tif not (len(temp) == 3 and\n\t\t\t\t'bugs.opera.com' in temp and \n\t\t\t\t'bugfiles.operasoft.com' in temp and\n\t\t\t\t'btsfiles.operasoft.com' in temp):\n\t\t\traise\n\t\t\n\t\tif test_bugs.Keysize() != 2048:\n\t\t\traise\n\t\tif test_digicert.Keysize() != 2048:\n\t\t\traise\n\t\tif test_entrust.Keysize() != 2048:\n\t\t\traise\n\t\t\n\t\tcerts = certhandler.CertificateLoadP7(\"iecerts.p7b\")\n\t\t\n\t\tfor cert in certs:\n\t\t\tif not cert.IsSelfSigned():\n\t\t\t\tprint cert.SubjectNameLine()\n\t\t\t\traise\n\t\t\t\n\n\t\tprint \"completed\"", "metadata": "root.Test.testName", "header": "['class', 'Test', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 28 } ]
[ { "span": "'bugs.opera.com' in temp)", "start_line": 213, "start_column": 4, "end_line": 213, "end_column": 28 }, { "span": "'bugs.opera.com' in temp ", "start_line": 218, "start_column": 4, "end_line": 218, "end_column": 28 }, { "span": "'bugfiles.operasoft.com' in temp ", "start_line": 219, "start_column": 4, "end_line": 219, "end_column": 36 }, { "span": "'btsfiles.operasoft.com' in temp)", "start_line": 220, "start_column": 4, "end_line": 220, "end_column": 36 } ]
[]
1
true
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Use of 'global' at module level
lebedov/scikit-cuda/skcuda/misc.py
[ { "content": "#!/usr/bin/env python\n\n\"\"\"\nMiscellaneous PyCUDA functions.\n\"\"\"\n\nfrom __future__ import absolute_import, division\n\nimport atexit\nimport numbers\nfrom string import Template\n\nimport pycuda.driver as drv\nimport pycuda.gpuarray as gpuarray\nimport pycuda.elementwise as elementwise\nimport pycuda.reduction as reduction\nimport pycuda.scan as scan\nimport pycuda.tools as tools\nfrom pycuda.tools import context_dependent_memoize, dtype_to_ctype\nfrom pycuda.compiler import SourceModule\nfrom pytools import memoize\nimport numpy as np\n\nfrom . import cuda\nfrom . import cublas\n\n\ntry:\n from . import cula\n _has_cula = True\nexcept (ImportError, OSError):\n _has_cula = False\n\ntry:\n from . import cusolver\n _has_cusolver = True\nexcept (ImportError, OSError):\n _has_cusolver = False\n\ntry:\n from . import magma\n _has_magma = True\nexcept (ImportError, OSError):\n _has_magma = False\n\nisdoubletype = lambda x : True if x == np.float64 or \\\n x == np.complex128 else False\nisdoubletype.__doc__ = \"\"\"\nCheck whether a type has double precision.\n\nParameters\n----------\nt : numpy float type\n Type to test.\n\nReturns\n-------\nresult : bool\n Result.\n\"\"\"\n\niscomplextype = lambda x : True if x == np.complex64 or \\\n x == np.complex128 else False\niscomplextype.__doc__ = \"\"\"\nCheck whether a type is complex.\n\nParameters\n----------\nt : numpy float type\n Type to test.\n\nReturns\n-------\nresult : bool\n Result.\n\n\"\"\"\n\n\n\n\nglobal _global_cublas_handle\n_global_cublas_handle = None\nglobal _global_cusolver_handle\n_global_cusolver_handle = None\nglobal _global_cublas_allocator\n_global_cublas_allocator = None\n\n\n\n\n\niceil = lambda n: int(np.ceil(n))\n\n\n\n\n\n\n\nmaxabs.cache = {}\n\ncumsum.cache = {}\n\ndiff.cache = {}\n\n\n# List of available numerical types provided by numpy:\nnum_types = [np.typeDict[t] for t in \\\n np.typecodes['AllInteger']+np.typecodes['AllFloat']]\n\n# Numbers of bytes occupied by each numerical type:\nnum_nbytes = dict((np.dtype(t),t(1).nbytes) for t in num_types)\n\n\n\nget_by_index.cache = {}\n\nset_by_index.cache = {}\n\n\n\n\n\nimport operator\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nif __name__ == \"__main__\":\n import doctest\n doctest.testmod()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "global _global_cublas_handle", "start_line": 141, "start_column": 0, "end_line": 141, "end_column": 28 }, { "span": "global _global_cusolver_handle", "start_line": 143, "start_column": 0, "end_line": 143, "end_column": 30 }, { "span": "global _global_cublas_allocator", "start_line": 145, "start_column": 0, "end_line": 145, "end_column": 31 } ]
[]
1
true
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Except block handles 'BaseException'
akamai-open/api-kickstart/examples/python/papi_prefetch_toggle.py
[ { "content": "#! /usr/bin/env python\n\n\"\"\" Copyright 2015 Akamai Technologies, 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\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 \nSample client \nIn order to use this papi client you will need to have access turned\non for your account. Send the contract IDs you want activated in a \nrequest to [email protected].\n\nThis script pulls the contract groups, products for that group, and\nthen looks for a property named \"Papitest1\". You can change the \nparticular items it's looking for easily enough - right now all it\ndoes is pull the first group, first contract, first product, which\nis where the test property lives.\n\nWhen you run the script with the --write flag, it will toggle the\nprefetch bit on the test property.\n\nPlease send any comments, questions or ideas to [email protected]\n\nThanks!\nThe Akamai Developer Relations Team\n\n\"\"\"\n\n\n\nimport requests, logging, json\nfrom random import randint\nfrom akamai.edgegrid import EdgeGridAuth\nfrom config import EdgeGridConfig\nfrom urlparse import urljoin\nimport urllib\nsession = requests.Session()\ndebug = False\nsection_name = \"papi\"\n\n# If all parameters are set already, use them. Otherwise\n# use the config\ntry:\n\tconfig = EdgeGridConfig({\"verbose\":False},section_name, {\"write\":\"count\"})\nexcept:\n error_msg = \"ERROR: No section named %s was found in your ~/.edgerc file\\n\" % section_name\n error_msg += \"ERROR: Please generate credentials for the script functionality\\n\"\n error_msg += \"ERROR: and run 'gen_edgerc %s' to generate the credential file\\n\" % section_name\n sys.exit(error_msg)\n\nif hasattr(config, 'verbose'):\n\tdebug = config.verbose\n\nif config.debug or config.verbose:\n\tdebug = True\n\n# Enable debugging for the requests module\nif debug:\n import httplib as http_client\n http_client.HTTPConnection.debuglevel = 1\n logging.basicConfig()\n logging.getLogger().setLevel(logging.DEBUG)\n requests_log = logging.getLogger(\"requests.packages.urllib3\")\n requests_log.setLevel(logging.DEBUG)\n requests_log.propagate = True\n\n\n# Set the config options\nsession.auth = EdgeGridAuth(\n client_token=config.client_token,\n client_secret=config.client_secret,\n access_token=config.access_token\n)\n\nif hasattr(config, 'headers'):\n\tsession.headers.update(config.headers)\n\nbaseurl = '%s://%s/' % ('https', config.host)\n\n\n\n\n\n\n\n\nif __name__ == \"__main__\":\n\tId = {}\n\ttestProperty = \"developer.akamai.com\"\n\ttestRule = \"prefetching\"\n\t(Id['group'], Id['contract']) = getGroup()\n\t(Id['property'], propertyVersion) = getProperties(Id,testProperty)\n\t(rules) = getPropertyRules(Id,propertyVersion,testRule)\n\tprint\n\tif hasattr(config, \"write\") and config.write:\n\t\tswitchPropertyStatus(Id,propertyVersion,testRule,rules)\n\t\tgetPropertyRules(Id,propertyVersion,testRule)\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "except:", "start_line": 54, "start_column": 0, "end_line": 54, "end_column": 7 } ]
[]
1
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Unused import
JeremyOT/Toto/toto/methods/account/__init__.py
[ { "content": "'''The ``methods.account`` module provides simple implementations of\ncommon methods around account creation and management.\n'''\nimport create\nimport login\nimport logout\nimport update\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
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Variable defined multiple times
openstack/bandit/examples/random_module.py
[ { "content": "import random\nimport os\nimport somelib\n\nbad = random.random()\nbad = random.randrange()\nbad = random.randint()\nbad = random.choice()\nbad = random.uniform()\nbad = random.triangular()\n\ngood = os.urandom()\ngood = random.SystemRandom()\n\nunknown = random()\nunknown = somelib.a.random()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
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Unused local variable
ggventurini/python-deltasigma/deltasigma/tests/test_simulateSNR.py
[ { "content": " def test_simulateSNR_3(self):\n \"\"\"Test function for simulateSNR() 3/4\"\"\"\n # next test: amp is a scalar\n fname = pkg_resources.resource_filename(__name__,\n \"test_data/test_snr_amp2.mat\")\n amp_ref = scipy.io.loadmat(fname)['amp'].reshape((-1,))[0]\n snr_ref = scipy.io.loadmat(fname)['snr'].reshape((-1,))[0]\n ABCD = scipy.io.loadmat(fname)['ABCD'].reshape((4, 5))\n\n order = 3\n osr = 256\n nlev = 2\n f0 = 0.\n Hinf = 1.25\n form = 'CIFB'\n ntf = ds.synthesizeNTF(order, osr, 2, Hinf, f0)\n\n snr, amp = ds.simulateSNR(ABCD, osr, amp_ref, f0, nlev)\n self.assertTrue(np.allclose(snr, snr_ref, atol=1e-5, rtol=1e-5))\n self.assertTrue(np.allclose(amp, amp_ref, atol=1e-5, rtol=1e-5))", "metadata": "root.TestSimulateSNR.test_simulateSNR_3", "header": "['class', 'TestSimulateSNR', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 123 }, { "content": " def test_simulateSNR_4(self):\n \"\"\"Test function for simulateSNR() 4/4\"\"\"\n SNR_ref = np.array([23.0421, 32.1100, 43.3758, 53.1791,\n 65.5504, 70.5023, 73.4608, 76.2416, 77.8770,\n 78.2733, 79.3729, 79.5728, 80.8729, 82.7461,\n 83.0723, 84.8488, 84.3327])\n AMP_ref = np.array([-70, -60, -50, -40, -30, -20, -15, -10, -9, -8, -7,\n -6, -5, -4, -3, -2, -1, 0])\n\n order = 4\n osr = 32\n M = 8\n NG = -50\n ING = -10\n f0 = 1./ 16\n quadrature = 1\n form = 'PFB'\n nlev = M + 1\n z0 = np.exp(1j*2*np.pi*f0)\n bw = 1./ osr\n delta = 2\n FullScale = M\n ntf0 = ds.synthesizeQNTF(order, osr, f0, NG, ING)\n ABCD = ds.realizeQNTF(ntf0, form, True)\n #print(ABCD)\n #ds.PlotExampleSpectrum(ntf0, M, osr, f0, quadrature=True)\n a, b = ds.simulateSNR(ABCD, osr, None, f0, nlev);\n assert np.allclose(a[6:], SNR_ref, atol=10, rtol=1e-3)\n assert np.allclose(b[5:], AMP_ref, atol=1)", "metadata": "root.TestSimulateSNR.test_simulateSNR_4", "header": "['class', 'TestSimulateSNR', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 144 } ]
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[]
1
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Variable defined multiple times
jrk/llvm-py/test/testall.py
[ { "content": "def do_module():\n print \" Testing class Module\"\n m = Module.new('test')\n m.target = 'a'\n a = m.target\n m.data_layout = 'a'\n a = m.data_layout\n m.add_type_name('a', ti)\n m.delete_type_name('a')\n s = str(m)\n s = m == Module.new('a')\n m.add_global_variable(ti, 'b')\n m.get_global_variable_named('b')\n gvs = list(m.global_variables)\n ft = Type.function(ti, [ti])\n m.add_function(ft, \"func\")\n m.get_function_named(\"func\")\n m.get_or_insert_function(ft, \"func\")\n m.get_or_insert_function(Type.function(ti, []), \"func\")\n m.get_or_insert_function(ft, \"func2\")\n fns = list(m.functions)\n try:\n m.verify()\n except LLVMException:\n pass\n\n class strstream(object):\n def __init__(self):\n self.s = ''\n\n def write(self, data):\n self.s += data\n\n def read(self):\n return self.s\n\n ss = strstream()\n m2 = Module.new('test')\n m2.add_type_name('myint', ti)\n m2.to_bitcode(ss)\n m3 = Module.from_bitcode(ss)\n t = m2 == m3\n ss2 = strstream()\n ss2.write(str(m))\n m4 = Module.from_assembly(ss2)\n t = m4 == m\n t = m4.pointer_size\n mA = Module.new('ma')\n mB = Module.new('mb')\n mA.link_in(mB)", "metadata": "root.do_module", "header": "['module', '___EOS___']", "index": 50 }, { "content": "def do_type():\n print \" Testing class Type\"\n for i in range(1,100):\n Type.int(i)\n Type.float()\n Type.double()\n Type.x86_fp80()\n Type.fp128()\n Type.ppc_fp128()\n Type.function(ti, [ti]*100, True)\n Type.function(ti, [ti]*100, False)\n Type.struct([ti]*100)\n Type.packed_struct([ti]*100)\n Type.array(ti, 100)\n ptr = Type.pointer(ti, 4)\n pte = ptr.pointee\n Type.vector(ti, 100)\n Type.void()\n Type.label()\n Type.opaque()\n s = str(ti)\n s = ti == Type.float()\n Type.opaque().refine(Type.int())\n s = ti.width\n ft = Type.function(ti, [ti]*10)\n ft.return_type\n ft.vararg\n s = list(ft.args)\n ft.arg_count\n st = Type.struct([ti]*10)\n s = st.element_count\n s = list(st.elements)\n s = st.packed\n st = Type.packed_struct([ti]*10)\n s = st.element_count\n s = list(st.elements)\n s = st.packed\n at = Type.array(ti, 100)\n s = at.element\n s = at.count\n pt = Type.pointer(ti, 10)\n pt.address_space\n vt = Type.vector(ti, 100)\n s = vt.element\n s = vt.count\n Type.int(32) == Type.int(64)\n Type.int(32) != Type.int(64)\n Type.int(32) != Type.float()", "metadata": "root.do_type", "header": "['module', '___EOS___']", "index": 102 }, { "content": "def do_value():\n print \" Testing class Value\"\n k = Constant.int(ti, 42)\n k.name = 'a'\n s = k.name\n t = k.type\n s = str(k)\n s = k == Constant.int(ti, 43)\n i = k.value_id\n i = k.use_count\n i = k.uses", "metadata": "root.do_value", "header": "['module', '___EOS___']", "index": 159 }, { "content": "def do_global_value():\n print \" Testing class GlobalValue\"\n m = Module.new('a')\n gv = GlobalVariable.new(m, Type.int(), 'b')\n s = gv.is_declaration\n m = gv.module\n gv.linkage = LINKAGE_EXTERNAL\n s = gv.linkage\n gv.section = '.text'\n s = gv.section\n gv.visibility = VISIBILITY_HIDDEN\n s = gv.visibility\n gv.alignment = 8\n s = gv.alignment", "metadata": "root.do_global_value", "header": "['module', '___EOS___']", "index": 232 }, { "content": "def do_global_variable():\n print \" Testing class GlobalVariable\"\n m = Module.new('a')\n gv = GlobalVariable.new(m, Type.int(), 'b')\n gv = GlobalVariable.get(m, 'b')\n gv.delete()\n gv = GlobalVariable.new(m, Type.int(), 'c')\n gv.initializer = Constant.int( ti, 10 )\n s = gv.initializer\n gv.global_constant = True\n s = gv.global_constant", "metadata": "root.do_global_variable", "header": "['module', '___EOS___']", "index": 248 }, { "content": "def do_function():\n print \" Testing class Function\"\n ft = Type.function(ti, [ti]*20)\n zz = Function.new(Module.new('z'), ft, 'foobar')\n del zz\n Function.new(Module.new('zz'), ft, 'foobar')\n m = Module.new('a')\n f = Function.new(m, ft, 'func')\n f.delete()\n ft = Type.function(ti, [ti]*20)\n f = Function.new(m, ft, 'func2')\n has_nounwind = f.does_not_throw\n f.does_not_throw = True\n f2 = Function.intrinsic(m, INTR_COS, [ti])\n g = f.intrinsic_id\n f.calling_convenion = CC_FASTCALL\n g = f.calling_convenion\n f.collector = 'a'\n c = f.collector\n a = list(f.args)\n g = f.basic_block_count\n g = f.get_entry_basic_block()\n g = f.append_basic_block('a')\n g = f.get_entry_basic_block()\n g = list(f.basic_blocks)\n f.add_attribute(ATTR_NO_RETURN)\n f.add_attribute(ATTR_ALWAYS_INLINE)\n f.remove_attribute(ATTR_NO_RETURN)\n # LLVM misbehaves:\n #try:\n # f.verify()\n #except LLVMException:\n # pass", "metadata": "root.do_function", "header": "['module', '___EOS___']", "index": 273 }, { "content": "def do_builder():\n print \" Testing class Builder\"\n m = Module.new('a')\n ft = Type.function(ti, [ti])\n f = Function.new(m, ft, 'func')\n blk = f.append_basic_block('b')\n b = Builder.new(blk)\n b.ret(Constant.int(ti, 10))\n b.position_at_beginning(blk)\n b.position_at_end(blk)\n b.position_before(blk.instructions[0])\n blk2 = b.block\n b.ret_void()\n b.ret(Constant.int(ti, 10))\n _do_builder_mrv()\n #b.ret_many([Constant.int(ti, 10)]*10)\n b.branch(blk)\n b.cbranch(Constant.int(Type.int(1), 1), blk, blk)\n b.switch(f.args[0], blk)\n b.invoke(f, [Constant.int(ti,10)], blk, blk)\n b.unwind()\n b.unreachable()\n v = f.args[0]\n fv = Constant.real(Type.float(), \"1.0\")\n k = Constant.int(ti, 10)\n b.add(v, v)\n b.fadd(fv, fv)\n b.sub(v, v)\n b.fsub(fv, fv)\n b.mul(v, v)\n b.fmul(fv, fv)\n b.udiv(v, v)\n b.sdiv(v, v)\n b.fdiv(fv, fv)\n b.urem(v, v)\n b.srem(v, v)\n b.frem(fv, fv)\n b.shl(v, k)\n b.lshr(v, k)\n b.ashr(v, k)\n b.and_(v, v)\n b.or_(v, v)\n b.xor(v, v)\n b.neg(v)\n b.not_(v)\n p = b.malloc(Type.int())\n b.malloc_array(Type.int(), k)\n b.alloca(Type.int())\n b.alloca_array(Type.int(), k)\n b.free(p)\n b.load(p)\n b.store(k, p)\n # TODO gep\n b.trunc(v, Type.int(1))\n b.zext(v, Type.int(64))\n b.sext(v, Type.int(64))\n b.fptoui(fv, ti)\n b.fptosi(fv, ti)\n b.uitofp(k, Type.float())\n b.sitofp(k, Type.float())\n b.fptrunc(Constant.real(Type.double(), \"1.0\"), Type.float())\n b.fpext(Constant.real(Type.float(), \"1.0\"), Type.double())\n b.ptrtoint(p, ti)\n b.inttoptr(k, Type.pointer(Type.int()))\n b.bitcast(v, Type.float())\n b.icmp(IPRED_ULT, v, v)\n b.fcmp(RPRED_ULT, fv, fv)\n vi = Constant.vector([Constant.int(ti,42)]*10)\n vf = Constant.vector([Constant.real(Type.float(), 3.14)]*10)\n # TODO b.extract_value(v, 0)\n b.call(f, [v])\n b.select(Constant.int(Type.int(1), 1), blk, blk)\n b.vaarg(v, Type.int())\n b.extract_element(vi, v)\n b.insert_element(vi, v, v)\n b.shuffle_vector(vi, vi, vi)\n # NOTE: phi nodes without incoming values segfaults in LLVM during\n # destruction.\n i = b.phi(Type.int())\n i.add_incoming(v, blk)\n t = i.is_terminator == False\n t = i.is_binary_op == False\n t = i.is_shift == False\n t = i.is_cast == False\n t = i.is_logical_shift == False\n t = i.is_arithmetic_shift == False\n t = i.is_associative == False\n t = i.is_commutative == False\n t = i.is_volatile == False\n t = i.opcode\n t = i.opcode_name", "metadata": "root.do_builder", "header": "['module', '___EOS___']", "index": 396 }, { "content": "def do_targetdata():\n print \" Testing class TargetData\"\n t = TargetData.new('')\n v = str(t)\n v = t.byte_order\n v = t.pointer_size\n v = t.target_integer_type\n ty = Type.int()\n v = t.size(ty)\n v = t.store_size(ty)\n v = t.abi_size(ty)\n v = t.abi_alignment(ty)\n v = t.callframe_alignment(ty)\n v = t.preferred_alignment(ty)\n sty = Type.struct([ty, ty])\n v = t.element_at_offset(sty, 0)\n v = t.offset_of_element(sty, 0)\n m = Module.new('a')\n gv = m.add_global_variable(ty, 'gv')\n v = t.preferred_alignment(gv)", "metadata": "root.do_targetdata", "header": "['module', '___EOS___']", "index": 509 }, { "content": "def do_genericvalue():\n print \" Testing class GenericValue\"\n v = GenericValue.int(ti, 1)\n v = GenericValue.int_signed(ti, 1)\n v = GenericValue.real(Type.float(), 3.14)\n a = v.as_int()\n a = v.as_int_signed()\n a = v.as_real(Type.float())", "metadata": "root.do_genericvalue", "header": "['module', '___EOS___']", "index": 531 } ]
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Constant in conditional expression or statement
kayhayen/Nuitka/tests/basics/ComparisonChains.py
[ { "content": "def inOperatorChain():\n print(\"In operator chains:\")\n print(3 in [3,4] in [[3,4]])\n print(3 in [3,4] not in [[3,4]])\n\n if 3 in [3,4] in [[3,4]]:\n print(\"Yes\")\n else:\n print(\"No\")\n\n if 3 in [3,4] not in [[3,4]]:\n print(\"Yes\")\n else:\n print(\"No\")", "metadata": "root.inOperatorChain", "header": "['module', '___EOS___']", "index": 122 } ]
[ { "span": "3 in [3,4] in [[3,4]]:", "start_line": 127, "start_column": 7, "end_line": 127, "end_column": 28 }, { "span": "3 in [3,4] not in [[3,4]]:", "start_line": 132, "start_column": 7, "end_line": 132, "end_column": 32 } ]
[]
1
true
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Unused import
catap/namebench/libnamebench/tk.py
[ { "content": "# Copyright 2009 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\"\"\"Tk user interface implementation for namebench.\"\"\"\n\n__author__ = '[email protected] (Thomas Stromberg)'\n\nimport datetime\nimport os\nimport Queue\nimport sys\nimport threading\nimport tkFont\n# Wildcard imports are evil.\nfrom Tkinter import *\nimport tkMessageBox\nimport traceback\n\nimport addr_util\nimport base_ui\nimport conn_quality\nimport nameserver_list\nimport sys_nameservers\nimport util\n\nTHREAD_UNSAFE_TK = 0\nLOG_FILE_PATH = util.GenerateOutputFilename('log')\n\n\n\nglobal_message_queue = Queue.Queue()\nglobal_last_message = None\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def closedWindowHandler():\n print 'Au revoir, mes amis!'\n sys.exit(1)", "metadata": "root.closedWindowHandler", "header": "['module', '___EOS___']", "index": 40 }, { "content": "def AddMsg(message, master=None, backup_notifier=None, **kwargs):\n \"\"\"Add a message to the global queue for output.\"\"\"\n global global_message_queue\n global global_last_message\n global THREAD_UNSAFE_TK\n\n new_message = StatusMessage(message, **kwargs)\n if new_message != global_last_message:\n global_message_queue.put(new_message)\n\n if master:\n try:\n master.event_generate('<<msg>>', when='tail')\n global_last_message = new_message\n # Tk thread-safety workaround #1\n except TclError:\n # If we aren't thread safe, we already assume this won't work.\n if not THREAD_UNSAFE_TK:\n print 'First TCL Error:'\n traceback.print_exc()\n try:\n backup_notifier(-1)\n THREAD_UNSAFE_TK = 1\n except:\n print 'Backup notifier failure:'\n traceback.print_exc()", "metadata": "root.AddMsg", "header": "['module', '___EOS___']", "index": 48 }, { "content": "class StatusMessage(object):\n \"\"\"Messages to be passed from to the main thread from children.\n\n Used to avoid thread issues inherent with Tk.\n \"\"\"\n", "metadata": "root.StatusMessage", "header": "['module', '___EOS___']", "index": 76 }, { "content": " def __init__(self, message, error=False, count=False, total=False,\n enable_button=None, debug=False):\n self.message = message\n self.error = error\n self.count = count\n self.debug = debug\n self.total = total\n self.enable_button = enable_button", "metadata": "root.StatusMessage.__init__", "header": "['class', 'StatusMessage', '(', 'object', ')', ':', '___EOS___']", "index": 82 }, { "content": "class WorkerThread(threading.Thread, base_ui.BaseUI):\n \"\"\"Handle benchmarking and preparation in a separate UI thread.\"\"\"\n\n\n", "metadata": "root.WorkerThread", "header": "['module', '___EOS___']", "index": 92 }, { "content": " def __init__(self, supplied_ns, global_ns, regional_ns, options, data_source=None, master=None,\n backup_notifier=None):\n threading.Thread.__init__(self)\n self.SetupDataStructures()\n self.status_callback = self.msg\n self.data_src = data_source\n self.backup_notifier = backup_notifier\n self.include_internal = False\n self.supplied_ns = supplied_ns\n self.global_ns = global_ns\n self.regional_ns = regional_ns\n self.master = master\n self.options = options\n self.resource_dir = os.path.dirname(os.path.dirname(__file__))", "metadata": "root.WorkerThread.__init__", "header": "['class', 'WorkerThread', '(', 'threading', '.', 'Thread', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 95 }, { "content": " def msg(self, message, **kwargs):\n \"\"\"Add messages to the main queue.\"\"\"\n return AddMsg(message, master=self.master, backup_notifier=self.backup_notifier, **kwargs)", "metadata": "root.WorkerThread.msg", "header": "['class', 'WorkerThread', '(', 'threading', '.', 'Thread', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 110 }, { "content": " def run(self):\n self.msg('Started thread', enable_button=False)\n try:\n self.PrepareTestRecords()\n self.PrepareNameServers()\n self.PrepareBenchmark()\n self.RunAndOpenReports()\n except nameserver_list.OutgoingUdpInterception:\n (exc_type, exception, tb) = sys.exc_info()\n self.msg('Outgoing requests were intercepted!', error=exception)\n except nameserver_list.TooFewNameservers:\n (exc_type, exception, tb) = sys.exc_info()\n self.msg('Too few nameservers to test', error=exception)\n except conn_quality.OfflineConnection:\n (exc_type, exception, tb) = sys.exc_info()\n self.msg('The connection appears to be offline!', error=exception)\n except:\n (exc_type, exception, tb) = sys.exc_info()\n traceback.print_exc(tb)\n error_msg = '\\n'.join(traceback.format_tb(tb)[-4:])\n self.msg(exception, error=error_msg)\n self.msg(None, enable_button=True)", "metadata": "root.WorkerThread.run", "header": "['class', 'WorkerThread', '(', 'threading', '.', 'Thread', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 114 }, { "content": "class NameBenchGui(object):\n \"\"\"The main GUI.\"\"\"\n\n", "metadata": "root.NameBenchGui", "header": "['module', '___EOS___']", "index": 138 }, { "content": " def __init__(self, options, supplied_ns, global_ns, regional_ns, version=None):\n self.options = options\n self.supplied_ns = supplied_ns\n self.global_ns = global_ns\n self.regional_ns = regional_ns\n self.version = version", "metadata": "root.NameBenchGui.__init__", "header": "['class', 'NameBenchGui', '(', 'object', ')', ':', '___EOS___']", "index": 141 }, { "content": " def Execute(self):\n self.root = Tk()\n app = MainWindow(self.root, self.options, self.supplied_ns, self.global_ns,\n self.regional_ns, self.version)\n app.DrawWindow()\n self.root.bind('<<msg>>', app.MessageHandler)\n self.root.mainloop()", "metadata": "root.NameBenchGui.Execute", "header": "['class', 'NameBenchGui', '(', 'object', ')', ':', '___EOS___']", "index": 148 }, { "content": "class MainWindow(Frame, base_ui.BaseUI):\n \"\"\"The main Tk GUI class.\"\"\"\n\n\n\n\n\n\n\n", "metadata": "root.MainWindow", "header": "['module', '___EOS___']", "index": 157 }, { "content": " def __init__(self, master, options, supplied_ns, global_ns, regional_ns, version=None):\n \"\"\"TODO(tstromberg): Remove duplication from NameBenchGui class.\"\"\"\n Frame.__init__(self)\n self.SetupDataStructures()\n self.master = master\n self.options = options\n self.supplied_ns = supplied_ns\n self.global_ns = global_ns\n self.regional_ns = regional_ns\n self.version = version\n try:\n self.log_file = open(LOG_FILE_PATH, 'w')\n except:\n print 'Failed to open %s for write' % LOG_FILE_PATH\n self.master.protocol('WM_DELETE_WINDOW', closedWindowHandler)", "metadata": "root.MainWindow.__init__", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 160 }, { "content": " def UpdateStatus(self, message, count=None, total=None, error=None, debug=False):\n \"\"\"Update our little status window.\"\"\"\n if not message:\n return None\n\n if total:\n state = '%s... [%s/%s]' % (message, count, total)\n elif count:\n state = '%s%s' % (message, '.' * count)\n else:\n state = message\n\n print '> %s' % str(state)\n try:\n self.log_file.write('%s: %s\\r\\n' % (datetime.datetime.now(), state))\n self.log_file.flush()\n except:\n pass\n if not debug:\n self.status.set(state[0:75])", "metadata": "root.MainWindow.UpdateStatus", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 176 }, { "content": " def DrawWindow(self):\n \"\"\"Draws the user interface.\"\"\"\n self.nameserver_form = StringVar()\n self.status = StringVar()\n self.query_count = IntVar()\n self.data_source = StringVar()\n self.health_performance = StringVar()\n self.location = StringVar()\n self.use_global = IntVar()\n self.use_regional = IntVar()\n self.use_censor_checks = IntVar()\n self.share_results = IntVar()\n\n self.master.title('namebench')\n outer_frame = Frame(self.master)\n outer_frame.grid(row=0, padx=16, pady=16)\n inner_frame = Frame(outer_frame, relief=GROOVE, bd=2, padx=12, pady=12)\n inner_frame.grid(row=0, columnspan=2)\n status = Label(outer_frame, text='...', textvariable=self.status)\n status.grid(row=15, sticky=W, column=0)\n\n if sys.platform[:3] == 'win':\n seperator_width = 490\n else:\n seperator_width = 585\n\n bold_font = tkFont.Font(font=status['font'])\n bold_font['weight'] = 'bold'\n\n ns_label = Label(inner_frame, text='Nameservers')\n ns_label.grid(row=0, columnspan=2, sticky=W)\n ns_label['font'] = bold_font\n\n nameservers = Entry(inner_frame, bg='white',\n textvariable=self.nameserver_form,\n width=80)\n nameservers.grid(row=1, columnspan=2, sticky=W, padx=4, pady=2)\n self.nameserver_form.set(', '.join(nameserver_list.InternalNameServers()))\n\n global_button = Checkbutton(inner_frame,\n text='Include global DNS providers (Google Public DNS, OpenDNS, UltraDNS, etc.)',\n variable=self.use_global)\n global_button.grid(row=2, columnspan=2, sticky=W)\n global_button.toggle()\n\n regional_button = Checkbutton(inner_frame,\n text='Include best available regional DNS services',\n variable=self.use_regional)\n regional_button.grid(row=3, columnspan=2, sticky=W)\n regional_button.toggle()\n\n separator = Frame(inner_frame, height=2, width=seperator_width, bd=1, relief=SUNKEN)\n separator.grid(row=4, padx=5, pady=5, columnspan=2)\n\n ds_label = Label(inner_frame, text='Options')\n ds_label.grid(row=5, column=0, sticky=W)\n ds_label['font'] = bold_font\n\n censorship_button = Checkbutton(inner_frame, text='Include censorship checks',\n variable=self.use_censor_checks)\n censorship_button.grid(row=6, columnspan=2, sticky=W)\n\n share_button = Checkbutton(inner_frame,\n text='Upload and share your anonymized results (help speed up the internet!)',\n variable=self.share_results)\n\n # Old versions of Tk do not support two-dimensional padding.\n try:\n share_button.grid(row=7, columnspan=2, sticky=W, pady=[0,10])\n except TclError:\n share_button.grid(row=7, columnspan=2, sticky=W)\n\n loc_label = Label(inner_frame, text='Your location')\n loc_label.grid(row=10, column=0, sticky=W)\n loc_label['font'] = bold_font\n\n run_count_label = Label(inner_frame, text='Health Check Performance')\n run_count_label.grid(row=10, column=1, sticky=W)\n run_count_label['font'] = bold_font\n\n self.DiscoverLocation()\n self.LoadDataSources()\n source_titles = self.data_src.ListSourceTitles()\n left_dropdown_width = max([len(x) for x in source_titles]) - 3\n\n location_choices = [self.country, '(Other)']\n location = OptionMenu(inner_frame, self.location, *location_choices)\n location.configure(width=left_dropdown_width)\n location.grid(row=11, column=0, sticky=W)\n self.location.set(location_choices[0])\n\n mode_choices = ['Fast', 'Slow (unstable network)']\n right_dropdown_width = max([len(x) for x in mode_choices]) - 3\n health_performance = OptionMenu(inner_frame, self.health_performance, *mode_choices)\n health_performance.configure(width=right_dropdown_width)\n health_performance.grid(row=11, column=1, sticky=W)\n self.health_performance.set(mode_choices[0])\n\n ds_label = Label(inner_frame, text='Query Data Source')\n ds_label.grid(row=12, column=0, sticky=W)\n ds_label['font'] = bold_font\n\n numqueries_label = Label(inner_frame, text='Number of queries')\n numqueries_label.grid(row=12, column=1, sticky=W)\n numqueries_label['font'] = bold_font\n\n data_source = OptionMenu(inner_frame, self.data_source, *source_titles)\n data_source.configure(width=left_dropdown_width)\n data_source.grid(row=13, column=0, sticky=W)\n self.data_source.set(source_titles[0])\n\n query_count = Entry(inner_frame, bg='white', textvariable=self.query_count)\n query_count.grid(row=13, column=1, sticky=W, padx=4)\n query_count.configure(width=right_dropdown_width + 6)\n self.query_count.set(self.options.query_count)\n\n self.button = Button(outer_frame, command=self.StartJob)\n self.button.grid(row=15, sticky=E, column=1, pady=4, padx=1)\n self.UpdateRunState(running=True)\n self.UpdateRunState(running=False)\n self.UpdateStatus('namebench %s is ready!' % self.version)", "metadata": "root.MainWindow.DrawWindow", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 197 }, { "content": " def MessageHandler(self, unused_event):\n \"\"\"Pinged when there is a new message in our queue to handle.\"\"\"\n while global_message_queue.qsize():\n m = global_message_queue.get()\n if m.error:\n self.ErrorPopup(m.message, m.error)\n elif m.enable_button == False:\n self.UpdateRunState(running=True)\n elif m.enable_button == True:\n self.UpdateRunState(running=False)\n self.UpdateStatus(m.message, count=m.count, total=m.total, error=m.error, debug=m.debug)", "metadata": "root.MainWindow.MessageHandler", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 319 }, { "content": " def ErrorPopup(self, title, message):\n print 'Showing popup: %s' % title\n tkMessageBox.showerror(str(title), str(message), master=self.master)", "metadata": "root.MainWindow.ErrorPopup", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 331 }, { "content": " def UpdateRunState(self, running=True):\n \"\"\"Update the run state of the window, using nasty threading hacks.\"\"\"\n\n global THREAD_UNSAFE_TK\n # try/except blocks added to work around broken Tcl/Tk libraries\n # shipped with Fedora 11 (not thread-safe).\n # See http://code.google.com/p/namebench/issues/detail?id=23'\n if THREAD_UNSAFE_TK:\n return\n\n if running:\n try:\n self.button.config(state=DISABLED)\n self.button.config(text='Running')\n except TclError:\n THREAD_UNSAFE_TK = True\n self.UpdateStatus('Unable to disable button due to broken Tk library')\n self.UpdateStatus('Running...')\n else:\n try:\n self.button.config(state=NORMAL)\n self.button.config(text='Start Benchmark')\n except TclError:\n pass", "metadata": "root.MainWindow.UpdateRunState", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 335 }, { "content": " def StartJob(self):\n \"\"\"Events that get called when the Start button is pressed.\"\"\"\n\n self.ProcessForm()\n thread = WorkerThread(self.supplied_ns, self.global_ns, self.regional_ns, self.options,\n data_source=self.data_src,\n master=self.master, backup_notifier=self.MessageHandler)\n thread.start()", "metadata": "root.MainWindow.StartJob", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 360 }, { "content": " def ProcessForm(self):\n \"\"\"Read form and populate instance variables.\"\"\"\n\n self.supplied_ns = addr_util.ExtractIPTuplesFromString(self.nameserver_form.get())\n if not self.use_global.get():\n self.global_ns = []\n if not self.use_regional.get():\n self.regional_ns = []\n\n if 'Slow' in self.health_performance.get():\n self.options.health_thread_count = 10\n\n self.options.query_count = self.query_count.get()\n self.options.input_source = self.data_src.ConvertSourceTitleToType(self.data_source.get())\n self.options.enable_censorship_checks = self.use_censor_checks.get()\n self.options.upload_results = self.share_results.get()", "metadata": "root.MainWindow.ProcessForm", "header": "['class', 'MainWindow', '(', 'Frame', ',', 'base_ui', '.', 'BaseUI', ')', ':', '___EOS___']", "index": 369 } ]
[ { "span": "import sys_nameservers", "start_line": 33, "start_column": 0, "end_line": 33, "end_column": 22 } ]
[]
1
false
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"\\u\\u\\uNL\\u\\u\\u_", "\"\"\"", "Tk", " ", "user", " ", "interface", " ", "implementation", " ", "for", " ", "name", "bench", ".\"\"\"_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u", "author\\u\\u_", "=_", "'", "tstr", "omb", "erg", "@", "google", ".", "com", " ", "(", "Tho", "mas", " ", "Str", "omb", "erg", ")'_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "import_", "datetime_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "os_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "Queue_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "sys_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "threading_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "tk", "Font_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "#", " ", "Wildcard", " ", "import", "s", " ", "are", " ", "evil", "._", "\\u\\u\\uNL\\u\\u\\u_", "from_", "Tkinter_", "import_", "*_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "tk", "Messag", "e", "Box_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "import_", "traceback_", "\\u\\u\\uNEWLINE\\u\\u\\u_", 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Unreachable code
mihaip/streamspigot/app/feedplayback/handlers.py
[ { "content": " def get(self):\n self._write_error(410)\n return\n frequency = self.request.get('frequency')\n frequency_modulo = int(self.request.get('frequency_modulo'))\n\n current_modulo = data.get_modulo_for_frequency(frequency)\n if current_modulo != frequency_modulo:\n logging.info('Not advancing for modulo %d today '\n '(which is modulo %d)' % (frequency_modulo, current_modulo))\n return\n\n subscriptions = data.get_subscriptions_with_frequency_and_modulo(\n frequency, frequency_modulo)\n\n for subscription in subscriptions:\n taskqueue.add(\n queue_name='feedplayback-advance',\n url='/tasks/feed-playback/advance',\n params={'subscription_id': subscription.id})\n\n logging.info('Advanced %d subscriptions' % len(subscriptions))\n self.response.out.write('OK')", "metadata": "root.AdvanceCronHandler.get", "header": "['class', 'AdvanceCronHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 20 }, { "content": " def post(self):\n self._write_error(410)\n return\n subscription_id = self.request.get('subscription_id')\n subscription = data.get_subscription_by_id(subscription_id)\n subscription.advance()\n self.response.out.write('OK')", "metadata": "root.AdvanceTaskHandler.post", "header": "['class', 'AdvanceTaskHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 45 }, { "content": " def get(self):\n self._write_error(410)\n return\n url = self.request.get('url').strip()\n if not url:\n self._write_input_error('Missing \"url\" parameter')\n return\n\n try:\n start_date = datetime.datetime.strptime(\n self.request.get('start-date'), '%Y-%m-%d')\n except ValueError:\n start_date = datetime.datetime(1970, 1, 1)\n\n self._write_json({\n 'firstItem': data.get_start_item_contents(url, start_date).as_json_dict(),\n })", "metadata": "root.PreviewHandler.get", "header": "['class', 'PreviewHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 54 }, { "content": " def post(self):\n self._write_error(410)\n return\n url = self.request.get('url').strip()\n if not url:\n self._write_input_error('Missing \"url\" parameter')\n return\n\n try:\n start_date = datetime.datetime.strptime(\n self.request.get('start-date'), '%Y-%m-%d')\n except ValueError:\n start_date = datetime.datetime(1970, 1, 1)\n frequency = self.request.get('frequency')\n\n subscription = data.create_subscription(\n url,\n start_date,\n frequency)\n\n feed_info = data.get_feed_info_from_feed_url(url)\n feed_title = feed_info.title\n subscription_html_url = '%s/feed-playback/subscription/%s' % (\n CONSTANTS.APP_URL, subscription.id)\n\n subscription.create_reader_stream(\n intro_html_url=subscription_html_url,\n intro_title='Feed playback for \"%s\" has begun' % feed_title,\n intro_body=self._render_template(\n 'feedplayback/intro-body.snippet', {\n 'subscription_html_url': subscription_html_url,\n 'feed_url': url,\n 'feed_title': feed_title,\n 'item_count': len(feed_info.item_ids) - subscription.position,\n 'frequency': _FREQUENCY_DISPLAY_NAMES[frequency],\n }))\n\n self._write_json(subscription.as_json_dict())", "metadata": "root.CreateHandler.post", "header": "['class', 'CreateHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 73 }, { "content": " def get(self):\n self._write_error(410)\n return\n url = self.request.get('url').strip()\n if not url:\n self._write_input_error('Missing \"url\" parameter')\n return\n\n feed_info = data.get_feed_info(url)\n if feed_info:\n self._write_json(feed_info.as_json_dict())\n else:\n self._write_input_error('Invalid \"url\" parameter')", "metadata": "root.FeedInfoHandler.get", "header": "['class', 'FeedInfoHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 113 }, { "content": " def get(self, subscription_id):\n self._write_error(410)\n return\n subscription = data.get_subscription_by_id(subscription_id)\n\n if not subscription:\n self._write_not_found()\n return\n\n feed_info = data.get_feed_info_from_feed_url(subscription.feed_url)\n\n self._write_template('feedplayback/subscription.html', {\n 'feed_title': feed_info.title,\n 'feed_url': subscription.feed_url,\n 'subscription_id': subscription_id,\n 'subscription_feed_url': subscription.get_subscription_feed_url(),\n 'subscription_reader_url': subscription.get_subscription_reader_url(),\n 'position': subscription.position + 1,\n 'item_count': len(feed_info.item_ids),\n 'frequency': _FREQUENCY_DISPLAY_NAMES[subscription.frequency]\n })", "metadata": "root.SubscriptionHandler.get", "header": "['class', 'SubscriptionHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 128 }, { "content": " def post(self):\n self._write_error(410)\n return\n subscription_id = self.request.get('subscription_id')\n subscription = data.get_subscription_by_id(subscription_id)\n subscription.advance()\n self.redirect('/feed-playback/subscription/%s' % subscription_id)", "metadata": "root.SubscriptionAdvanceHandler.post", "header": "['class', 'SubscriptionAdvanceHandler', '(', 'base', '.', 'handlers', '.', 'BaseHandler', ')', ':', '___EOS___']", "index": 151 } ]
[ { "span": "frequency = self.request.get('frequency')", "start_line": 23, "start_column": 8, "end_line": 23, "end_column": 49 }, { "span": "subscription_id = self.request.get('subscription_id')", "start_line": 48, "start_column": 8, "end_line": 48, "end_column": 61 }, { "span": "url = self.request.get('url').strip()", "start_line": 57, "start_column": 8, "end_line": 57, "end_column": 45 }, { "span": "url = self.request.get('url').strip()", "start_line": 76, "start_column": 8, "end_line": 76, "end_column": 45 }, { "span": "url = self.request.get('url').strip()", "start_line": 116, "start_column": 8, "end_line": 116, "end_column": 45 }, { "span": "subscription = data.get_subscription_by_id(subscription_id)", "start_line": 131, "start_column": 8, "end_line": 131, "end_column": 67 }, { "span": "subscription_id = self.request.get('subscription_id')", "start_line": 154, "start_column": 8, "end_line": 154, "end_column": 61 } ]
[]
1
true
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Unused import
cloudera/hue/desktop/core/ext-py/python-ldap-2.3.13/Lib/ldap/__init__.py
[ { "content": "\"\"\"\nldap - base module\n\nSee http://www.python-ldap.org/ for details.\n\n$Id: __init__.py,v 1.70 2011/02/19 14:36:53 stroeder Exp $\n\"\"\"\n\n# This is also the overall release version number\n\n__version__ = '2.3.13'\n\nimport sys\n\nif __debug__:\n # Tracing is only supported in debugging mode\n import traceback\n _trace_level = 0\n _trace_file = sys.stderr\n _trace_stack_limit = None\n\nfrom _ldap import *\n\n\ntry:\n # Check if Python installation was build with thread support\n import thread\nexcept ImportError:\n LDAPLockBaseClass = DummyLock\nelse:\n import threading\n LDAPLockBaseClass = threading.Lock\n\n\n\n\n# Create module-wide lock for serializing all calls into underlying LDAP lib\n_ldap_module_lock = LDAPLock(desc='Module wide')\n\nfrom functions import open,initialize,init,get_option,set_option\n\nfrom ldap.dn import explode_dn,explode_rdn,str2dn,dn2str\ndel str2dn\ndel dn2str\n\n# More constants\n\n# For compability of 2.3 and 2.4 OpenLDAP API\nOPT_DIAGNOSTIC_MESSAGE = OPT_ERROR_STRING\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class DummyLock:\n \"\"\"Define dummy class with methods compatible to threading.Lock\"\"\"", "metadata": "root.DummyLock", "header": "['module', '___EOS___']", "index": 23 }, { "content": " def __init__(self):\n pass", "metadata": "root.DummyLock.__init__", "header": "['class', 'DummyLock', ':', '___EOS___']", "index": 25 }, { "content": " def acquire(self):\n pass", "metadata": "root.DummyLock.acquire", "header": "['class', 'DummyLock', ':', '___EOS___']", "index": 27 }, { "content": " def release(self):\n pass", "metadata": "root.DummyLock.release", "header": "['class', 'DummyLock', ':', '___EOS___']", "index": 29 }, { "content": "class LDAPLock:\n \"\"\"\n Mainly a wrapper class to log all locking events.\n Note that this cumbersome approach with _lock attribute was taken\n since threading.Lock is not suitable for sub-classing.\n \"\"\"\n _min_trace_level = 2\n\n\n", "metadata": "root.LDAPLock", "header": "['module', '___EOS___']", "index": 42 }, { "content": " def __init__(self,lock_class=None,desc=''):\n \"\"\"\n lock_class\n Class compatible to threading.Lock\n desc\n Description shown in debug log messages\n \"\"\"\n self._desc = desc\n self._lock = (lock_class or LDAPLockBaseClass)()", "metadata": "root.LDAPLock.__init__", "header": "['class', 'LDAPLock', ':', '___EOS___']", "index": 50 }, { "content": " def acquire(self):\n if __debug__:\n if _trace_level>=self._min_trace_level:\n _trace_file.write('***%s %s.acquire()\\n' % (self._desc,self.__class__.__name__))\n return self._lock.acquire()", "metadata": "root.LDAPLock.acquire", "header": "['class', 'LDAPLock', ':', '___EOS___']", "index": 60 }, { "content": " def release(self):\n if __debug__:\n if _trace_level>=self._min_trace_level:\n _trace_file.write('***%s %s.release()\\n' % (self._desc,self.__class__.__name__))\n return self._lock.release()", "metadata": "root.LDAPLock.release", "header": "['class', 'LDAPLock', ':', '___EOS___']", "index": 66 } ]
[ { "span": "import thread", "start_line": 34, "start_column": 2, "end_line": 34, "end_column": 15 }, { "span": "from functions import open,initialize,init,get_option,set_option", "start_line": 76, "start_column": 0, "end_line": 76, "end_column": 64 }, { "span": "from ldap.dn import explode_dn,explode_rdn,str2dn,dn2str", "start_line": 78, "start_column": 0, "end_line": 78, "end_column": 56 } ]
[]
1
false
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Testing equality to None
myusuf3/octogit/octogit/cli.py
[ { "content": "def begin():\n \"\"\"\n Usage:\n octogit [subcommand] [arguments]\n octogit login | -l | --login [(username password)]\n octogit create <repo> [<description>] [<organization>]\n octogit (issues | -i | --issues) [--assigned | -a]\n octogit (issues | -i | --issues) create <issue-title> <description>\n octogit (issues | -i | --issues) <number> [close | view]\n octogit -v | --version\n octogit help | -h | --help\n\n \"\"\"\n\n if os.path.exists(CONFIG_FILE):\n pass\n else:\n # create config file\n create_config()\n # commit changes\n commit_changes()\n\n arguments = docopt(begin.__doc__, help=None)\n\n if arguments['--version'] or arguments['-v']:\n puts(version())\n sys.exit(0)\n\n elif arguments['--help'] or arguments['-h'] or arguments['help']:\n get_help()\n sys.exit(0)\n\n elif arguments['create']:\n if arguments['<repo>'] == None:\n puts('{0}. {1}'.format(colored.blue('octogit'),\n colored.red('You need to pass both a project name and description')))\n\n else:\n project_name = arguments['<repo>']\n description = arguments['<description>'] or ''\n organization = arguments['<organization>'] or None\n create_repository(project_name, description, organization=organization)\n sys.exit()\n\n elif arguments['--issues'] or arguments['-i'] or arguments['issues']:\n url = find_github_remote()\n username, url = get_username_and_repo(url)\n if arguments['create']:\n if ['<issue-title>'] == None:\n puts('{0}. {1}'.format(colored.blue('octogit'),\n colored.red('You need to pass an issue title')))\n sys.exit(-1)\n\n else:\n issue_name = arguments['<issue-title>']\n description = arguments['<description>']\n create_issue(username, url, issue_name, description)\n sys.exit(0)\n\n issue_number = arguments['<number>']\n\n if issue_number is not None:\n if issue_number.startswith('#'):\n issue_number = issue_number[1:]\n\n if arguments['close']:\n close_issue(username, url, issue_number)\n sys.exit(0)\n elif arguments['view']:\n view_issue(username, url, issue_number)\n sys.exit(0)\n elif arguments['--assigned']:\n get_issues(username, url, (arguments['-assigned'] or arguments['-a']))\n sys.exit(0)\n else:\n get_single_issue(username, url, issue_number)\n sys.exit(0)\n else:\n get_issues(username, url, False)\n sys.exit(0)\n\n elif arguments['--login'] or arguments['-l'] or arguments['login']:\n username = arguments['username'] or None\n if username is None:\n username = raw_input(\"Github username: \")\n if len(username) == 0:\n puts(\"{0}. {1}\".format(\n colored.blue(\"octogit\"),\n colored.red(\"Username was blank\")))\n\n password = arguments['password'] or None\n if password is None:\n import getpass\n password = getpass.getpass(\"Password for %s: \" % username)\n\n login(username, password)\n else:\n get_help()\n sys.exit(0)", "metadata": "root.begin", "header": "['module', '___EOS___']", "index": 87 } ]
[ { "span": "arguments['<repo>'] == None:", "start_line": 120, "start_column": 11, "end_line": 120, "end_column": 38 }, { "span": "['<issue-title>'] == None:", "start_line": 135, "start_column": 15, "end_line": 135, "end_column": 40 } ]
[]
1
true
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Unused import
tethysplatform/tethys/tethys_apps/base/__init__.py
[ { "content": "\"\"\"\n********************************************************************************\n* Name: base/__init__.py\n* Author: Nathan Swain\n* Created On: August 2013\n* Copyright: (c) Brigham Young University 2013\n* License: BSD 2-Clause\n********************************************************************************\n\"\"\"\n\nfrom tethys_apps.base.app_base import TethysAppBase\nfrom tethys_apps.base.persistent_store import PersistentStore\nfrom tethys_apps.base.controller import app_controller_maker\nfrom tethys_services.base import DatasetService, SpatialDatasetService, WpsService\nfrom tethys_apps.base.url_map import url_map_maker\nfrom tethys_apps.base.workspace import TethysWorkspace\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "from tethys_apps.base.app_base import TethysAppBase", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 51 }, { "span": "from tethys_apps.base.persistent_store import PersistentStore", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 61 }, { "span": "from tethys_apps.base.controller import app_controller_maker", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 60 }, { "span": "from tethys_services.base import DatasetService, SpatialDatasetService, WpsService", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 82 }, { "span": "from tethys_apps.base.url_map import url_map_maker", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 50 }, { "span": "from tethys_apps.base.workspace import TethysWorkspace", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 54 } ]
[]
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Except block handles 'BaseException'
iskandr/parakeet/benchmarks/matmult.py
[ { "content": "import parakeet\nimport numpy as np \n\n\n#\n#n, d = 2500, 20\n#m = 2500\n\nn,d,m = 1200,1200,1200\ndtype = 'float32'\nX = np.random.randn(m,d).astype(dtype)\nY = np.random.randn(d,n).astype(dtype)\n\nfrom compare_perf import compare_perf\n\nextra = {'BLAS (np.dot)' : np.dot}\ntry:\n import pycuda\n import pycuda.gpuarray \n import pycuda.autoinit\n\n import scikits.cuda.linalg\n import scikits.cuda.cublas \n cublas_context = scikits.cuda.cublas.cublasCreate()\n extra['cuBLAS'] = gpu_dot \nexcept:\n print \"Failed to import PyCUDA + scikits.cuda\" \n\ntry:\n import numba \n\n \n\n extra['numba'] = call_numba \n\nexcept:\n print \"Failed to import Numba\" \n pass \n\ncompare_perf(matmult_high_level, [X,Y],\n cpython=True,\n # numba can't run the nested comprehensions so we use\n # a special loopy version instead \n numba=False,\n extra = extra, \n suppress_output = False,\n propagate_exceptions = False)\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
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[]
1
true
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Testing equality to None
binhex/moviegrabber/lib/site-packages/Cheetah/Tests/xmlrunner.py
[ { "content": " def run(self, test):\n \"\"\"Run the given test case or test suite.\"\"\"\n class_ = test.__class__\n classname = class_.__module__ + \".\" + class_.__name__\n if self._stream == None:\n filename = \"TEST-%s.xml\" % classname\n if self._filename:\n filename = self._filename\n stream = file(os.path.join(self._path, filename), \"w\")\n stream.write('<?xml version=\"1.0\" encoding=\"utf-8\"?>\\n')\n else:\n stream = self._stream\n\n result = _XMLTestResult(classname)\n start_time = time.time()\n\n # TODO: Python 2.5: Use the with statement\n old_stdout = sys.stdout\n old_stderr = sys.stderr\n sys.stdout = StringIO()\n sys.stderr = StringIO()\n\n try:\n test(result)\n try:\n out_s = sys.stdout.getvalue()\n except AttributeError:\n out_s = \"\"\n try:\n err_s = sys.stderr.getvalue()\n except AttributeError:\n err_s = \"\"\n finally:\n sys.stdout = old_stdout\n sys.stderr = old_stderr\n\n time_taken = time.time() - start_time\n result.print_report(stream, time_taken, out_s, err_s)\n if self._stream == None:\n stream.close()\n\n return result", "metadata": "root.XMLTestRunner.run", "header": "['class', 'XMLTestRunner', '(', 'object', ')', ':', '___EOS___']", "index": 165 } ]
[ { "span": "self._stream == None:", "start_line": 169, "start_column": 11, "end_line": 169, "end_column": 31 }, { "span": "self._stream == None:", "start_line": 203, "start_column": 11, "end_line": 203, "end_column": 31 } ]
[]
1
true
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Except block handles 'BaseException'
fatcloud/PyCV-time/opencv-official-samples/2.4.9/camshift.py
[ { "content": "#!/usr/bin/env python\n\n'''\nCamshift tracker\n================\n\nThis is a demo that shows mean-shift based tracking\nYou select a color objects such as your face and it tracks it.\nThis reads from video camera (0 by default, or the camera number the user enters)\n\nhttp://www.robinhewitt.com/research/track/camshift.html\n\nUsage:\n------\n camshift.py [<video source>]\n\n To initialize tracking, select the object with mouse\n\nKeys:\n-----\n ESC - exit\n b - toggle back-projected probability visualization\n'''\n\nimport numpy as np\nimport cv2\nimport video\n\n\n\n\nif __name__ == '__main__':\n import sys\n try: video_src = sys.argv[1]\n except: video_src = 0\n print __doc__\n App(video_src).run()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": " def run(self):\n while True:\n ret, self.frame = self.cam.read()\n vis = self.frame.copy()\n hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV)\n mask = cv2.inRange(hsv, np.array((0., 60., 32.)), np.array((180., 255., 255.)))\n\n if self.selection:\n x0, y0, x1, y1 = self.selection\n self.track_window = (x0, y0, x1-x0, y1-y0)\n hsv_roi = hsv[y0:y1, x0:x1]\n mask_roi = mask[y0:y1, x0:x1]\n hist = cv2.calcHist( [hsv_roi], [0], mask_roi, [16], [0, 180] )\n cv2.normalize(hist, hist, 0, 255, cv2.NORM_MINMAX);\n self.hist = hist.reshape(-1)\n self.show_hist()\n\n vis_roi = vis[y0:y1, x0:x1]\n cv2.bitwise_not(vis_roi, vis_roi)\n vis[mask == 0] = 0\n\n if self.tracking_state == 1:\n self.selection = None\n prob = cv2.calcBackProject([hsv], [0], self.hist, [0, 180], 1)\n prob &= mask\n term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )\n track_box, self.track_window = cv2.CamShift(prob, self.track_window, term_crit)\n\n if self.show_backproj:\n vis[:] = prob[...,np.newaxis]\n try: cv2.ellipse(vis, track_box, (0, 0, 255), 2)\n except: print track_box\n\n cv2.imshow('camshift', vis)\n\n ch = 0xFF & cv2.waitKey(5)\n if ch == 27:\n break\n if ch == ord('b'):\n self.show_backproj = not self.show_backproj\n cv2.destroyAllWindows()", "metadata": "root.App.run", "header": "['class', 'App', '(', 'object', ')', ':', '___EOS___']", "index": 70 } ]
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[]
1
true
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Testing equality to None
VisTrails/VisTrails/vistrails/packages/spreadsheet/spreadsheet_tabcontroller.py
[ { "content": " def insertTabWidget(self, index, tabWidget, sheetLabel):\n \"\"\" insertTabWidget(index: int, tabWidget: QWidget, sheetLabel: str)\n -> int\n Insert a tab widget to the controller at some location\n\n \"\"\"\n if sheetLabel==None:\n sheetLabel = 'Sheet %d' % (len(self.tabWidgets)+1)\n if not tabWidget in self.tabWidgets:\n self.tabWidgets.append(tabWidget)\n tabWidget.setWindowTitle(sheetLabel)\n return self.insertTab(index, tabWidget, sheetLabel)", "metadata": "root.StandardWidgetTabController.insertTabWidget", "header": "['class', 'StandardWidgetTabController', '(', 'QtGui', '.', 'QTabWidget', ')', ':', '___EOS___']", "index": 450 }, { "content": " def saveSpreadsheet(self, fileName=None):\n \"\"\" saveSpreadsheet(fileName: str) -> None\n Save the current spreadsheet to a file if fileName is not\n None. Else, pop up a dialog to ask for a file name.\n\n \"\"\"\n def serialize_locator(locator):\n wrapper = XMLWrapper()\n dom = wrapper.create_document('spreadsheet_locator')\n root = dom.documentElement\n root.setAttribute(\"version\", \"1.0\")\n locator.serialize(dom,root)\n return dom.toxml()\n\n def need_save():\n from vistrails.gui.vistrails_window import _app\n need_save_vt = False\n for t in self.tabWidgets:\n dim = t.getDimension()\n for r in xrange(dim[0]):\n for c in xrange(dim[1]):\n info = t.getCellPipelineInfo(r,c)\n if info:\n controller = info[0]['controller']\n view = _app.ensureController(controller)\n if view:\n controller = view.get_controller()\n if controller.changed:\n need_save_vt = True\n return need_save_vt\n\n if need_save():\n show_warning('Save Spreadsheet', 'Please save your vistrails and try again.')\n return\n\n if fileName==None:\n fileName = self.spreadsheetFileName\n if fileName:\n indexFile = open(fileName, 'w')\n indexFile.write(str(len(self.tabWidgets))+'\\n')\n for t in self.tabWidgets:\n dim = t.getDimension()\n sheet = spreadsheetRegistry.getSheetByType(type(t))\n indexFile.write('%s\\n'%str((str(t.windowTitle()),\n sheet,\n dim[0], dim[1])))\n for r in xrange(dim[0]):\n for c in xrange(dim[1]):\n info = t.getCellPipelineInfo(r,c)\n if info:\n newinfo0 = copy.copy(info[0])\n newinfo0['pipeline'] = None\n newinfo0['actions'] = []\n newinfo0['locator'] = \\\n serialize_locator(newinfo0['controller'].locator)\n newinfo0['controller'] = None\n indexFile.write('%s\\n'\n %str((r, c,\n newinfo0,\n info[1], info[2])))\n indexFile.write('---\\n')\n indexFile.write(str(len(self.executedPipelines[0]))+'\\n')\n for vistrail in self.executedPipelines[0]:\n indexFile.write('%s\\n'%str((serialize_locator(vistrail[0].locator),\n vistrail[1])))\n self.changeSpreadsheetFileName(fileName)\n indexFile.close()\n else:\n self.saveSpreadsheetAs()", "metadata": "root.StandardWidgetTabController.saveSpreadsheet", "header": "['class', 'StandardWidgetTabController', '(', 'QtGui', '.', 'QTabWidget', ')', ':', '___EOS___']", "index": 625 } ]
[ { "span": "sheetLabel==None:", "start_line": 456, "start_column": 11, "end_line": 456, "end_column": 27 }, { "span": "fileName==None:", "start_line": 660, "start_column": 11, "end_line": 660, "end_column": 25 } ]
[]
1
true
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Unused import
scottrice/Ice/ice/tasks/engine.py
[ { "content": "# encoding: utf-8\n\nimport os\n\nfrom pysteam import paths as steam_paths\nfrom pysteam import shortcuts\nfrom pysteam import steam as steam_module\n\nfrom ice import backups\nfrom ice import configuration\nfrom ice import consoles\nfrom ice import emulators\nfrom ice import paths\nfrom ice import settings\nfrom ice.logs import logger\nfrom ice.persistence.config_file_backing_store import ConfigFileBackingStore\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TaskEngine(object):\n\n", "metadata": "root.TaskEngine", "header": "['module', '___EOS___']", "index": 17 }, { "content": " def __init__(self, steam):\n self.steam = steam\n\n logger.debug(\"Initializing Ice\")\n # We want to ignore the anonymous context, cause theres no reason to sync\n # ROMs for it since you cant log in as said user.\n is_user_context = lambda context: context.user_id != 'anonymous'\n self.users = filter(is_user_context, steam_module.local_user_contexts(self.steam))", "metadata": "root.TaskEngine.__init__", "header": "['class', 'TaskEngine', '(', 'object', ')', ':', '___EOS___']", "index": 19 }, { "content": " def run(self, tasks, app_settings, dry_run=False):\n if self.steam is None:\n logger.error(\"Cannot run Ice because Steam doesn't appear to be installed\")\n return\n\n logger.info(\"=========== Starting Ice ===========\")\n\n for task in tasks:\n task(app_settings, self.users, dry_run=dry_run)", "metadata": "root.TaskEngine.run", "header": "['class', 'TaskEngine', '(', 'object', ')', ':', '___EOS___']", "index": 28 } ]
[ { "span": "import os", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 9 }, { "span": "from pysteam import paths as steam_paths", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 40 }, { "span": "from pysteam import shortcuts", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 29 }, { "span": "from ice import backups", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 23 }, { "span": "from ice import configuration", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 29 }, { "span": "from ice import consoles", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 24 }, { "span": "from ice import emulators", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 25 }, { "span": "from ice import paths", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 21 }, { "span": "from ice import settings", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 24 }, { "span": "from ice.persistence.config_file_backing_store import ConfigFileBackingStore", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 76 } ]
[]
1
false
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Imprecise assert
nskinkel/oppy/oppy/tests/unit/connection/test_connectionbuildtask.py
[ { "content": " @mock.patch('twisted.internet.defer.Deferred', autospec=True)\n def test_connectionMade(self, mock_deferred):\n mock_sendVersionsCell = mock.Mock()\n mock_sendVersionsCell.return_value = mock_deferred\n self.cbt._sendVersionsCell = mock_sendVersionsCell\n\n self.cbt.connectionMade()\n\n self.assertEqual(mock_sendVersionsCell.call_count, 1)\n self.assertEqual(self.cbt._tasks.addCallback.call_count, 6)\n self.assertTrue(mock.call(self.cbt._processVersionsCell) in\n self.cbt._tasks.addCallback.call_args_list)\n self.assertTrue(mock.call(self.cbt._processCertsCell) in\n self.cbt._tasks.addCallback.call_args_list)\n self.assertTrue(mock.call(self.cbt._processAuthChallengeCell) in\n self.cbt._tasks.addCallback.call_args_list)\n self.assertTrue(mock.call(self.cbt._processNetInfoCell) in\n self.cbt._tasks.addCallback.call_args_list)\n self.assertTrue(mock.call(self.cbt._sendNetInfoCell) in\n self.cbt._tasks.addCallback.call_args_list)\n self.assertTrue(mock.call(self.cbt._connectionSucceeded) in\n self.cbt._tasks.addCallback.call_args_list)\n self.cbt._tasks.addErrback.assert_called_once_with(\n self.cbt._connectionFailed)", "metadata": "root.ConnectionBuildTaskTest.test_connectionMade", "header": "['class', 'ConnectionBuildTaskTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 28 } ]
[ { "span": "self.assertTrue(mock.call(self.cbt._processVersionsCell) in\n self.cbt._tasks.addCallback.call_args_list)", "start_line": 38, "start_column": 8, "end_line": 39, "end_column": 67 }, { "span": "self.assertTrue(mock.call(self.cbt._processCertsCell) in\n self.cbt._tasks.addCallback.call_args_list)", "start_line": 40, "start_column": 8, "end_line": 41, "end_column": 67 }, { "span": "self.assertTrue(mock.call(self.cbt._processAuthChallengeCell) in\n self.cbt._tasks.addCallback.call_args_list)", "start_line": 42, "start_column": 8, "end_line": 43, "end_column": 67 }, { "span": "self.assertTrue(mock.call(self.cbt._processNetInfoCell) in\n self.cbt._tasks.addCallback.call_args_list)", "start_line": 44, "start_column": 8, "end_line": 45, "end_column": 67 }, { "span": "self.assertTrue(mock.call(self.cbt._sendNetInfoCell) in\n self.cbt._tasks.addCallback.call_args_list)", "start_line": 46, "start_column": 8, "end_line": 47, "end_column": 67 }, { "span": "self.assertTrue(mock.call(self.cbt._connectionSucceeded) in\n self.cbt._tasks.addCallback.call_args_list)", "start_line": 48, "start_column": 8, "end_line": 49, "end_column": 67 } ]
[]
1
true
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Imprecise assert
saltstack/salt/tests/unit/stateconf_test.py
[ { "content": " def test_state_config(self):\n result = self._render_sls('''\n.sls_params:\n stateconf.set:\n - name1: value1\n - name2: value2\n\n.extra:\n stateconf:\n - set\n - name: value\n\n# --- end of state config ---\n\ntest:\n cmd.run:\n - name: echo name1={{sls_params.name1}} name2={{sls_params.name2}} {{extra.name}}\n - cwd: /\n''', sls='test')\n self.assertEqual(len(result), 3)\n self.assertTrue('test::sls_params' in result and 'test' in result)\n self.assertTrue('test::extra' in result)\n self.assertEqual(result['test']['cmd.run'][0]['name'],\n 'echo name1=value1 name2=value2 value')", "metadata": "root.StateConfigRendererTestCase.test_state_config", "header": "['class', 'StateConfigRendererTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 68 }, { "content": " def test_state_prefix(self):\n result = self._render_sls('''\n.test:\n cmd.run:\n - name: echo renamed\n - cwd: /\n\nstate_id:\n cmd:\n - run\n - name: echo not renamed\n - cwd: /\n''', sls='test')\n self.assertEqual(len(result), 2)\n self.assertTrue('test::test' in result)\n self.assertTrue('state_id' in result)", "metadata": "root.StateConfigRendererTestCase.test_state_prefix", "header": "['class', 'StateConfigRendererTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 137 }, { "content": " def test_dot_state_id_in_requisites(self):\n for req in REQUISITES:\n result = self._render_sls('''\n.test:\n cmd.run:\n - name: echo renamed\n - cwd: /\n\nstate_id:\n cmd.run:\n - name: echo not renamed\n - cwd: /\n - {0}:\n - cmd: .test\n\n '''.format(req), sls='test')\n self.assertEqual(len(result), 2)\n self.assertTrue('test::test' in result)\n self.assertTrue('state_id' in result)\n self.assertEqual(\n result['state_id']['cmd.run'][2][req][0]['cmd'], 'test::test'\n )", "metadata": "root.StateConfigRendererTestCase.test_dot_state_id_in_requisites", "header": "['class', 'StateConfigRendererTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 154 }, { "content": " def test_relative_include_and_extend(self):\n result = self._render_sls('''\ninclude:\n - some.helper\n - .utils\n\nextend:\n .utils::some_state:\n cmd.run:\n - name: echo overridden\n ''', sls='test.work')\n self.assertTrue('test.utils::some_state' in result['extend'])", "metadata": "root.StateConfigRendererTestCase.test_relative_include_and_extend", "header": "['class', 'StateConfigRendererTestCase', '(', 'TestCase', ')', ':', '___EOS___']", "index": 197 } ]
[ { "span": "self.assertTrue('test::extra' in result)", "start_line": 89, "start_column": 8, "end_line": 89, "end_column": 48 }, { "span": "self.assertTrue('test::test' in result)", "start_line": 151, "start_column": 8, "end_line": 151, "end_column": 47 }, { "span": "self.assertTrue('state_id' in result)", "start_line": 152, "start_column": 8, "end_line": 152, "end_column": 45 }, { "span": "self.assertTrue('test::test' in result)", "start_line": 171, "start_column": 12, "end_line": 171, "end_column": 51 }, { "span": "self.assertTrue('state_id' in result)", "start_line": 172, "start_column": 12, "end_line": 172, "end_column": 49 }, { "span": "self.assertTrue('test.utils::some_state' in result['extend'])", "start_line": 208, "start_column": 8, "end_line": 208, "end_column": 69 } ]
[]
1
true
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Unused import
fp7-ofelia/ocf/optin_manager/src/python/scripts/setup_ch.py
[ { "content": "'''\nCreated on Jul 19, 2010\n\n@author: jnaous\n'''\nfrom django.core.urlresolvers import reverse\nfrom django.test import Client\nfrom expedient.common.tests.client import test_get_and_post_form\nfrom django.contrib.auth.models import User\nfrom pyquery import PyQuery as pq\nfrom openflow.plugin.models import OpenFlowInterface, NonOpenFlowConnection\nfrom geni.planetlab.models import PlanetLabNode\n\ntry:\n from setup_expedient_params import \\\n SUPERUSER_USERNAME, SUPERUSER_PASSWORD,\\\n USER_INFO,\\\n PL_AGGREGATE_INFO,\\\n OF_AGGREGATE_INFO,\\\n OF_PL_CONNECTIONS\n \nexcept ImportError:\n print \"\"\"\nCould not import setup_om_params module. Make sure this\nmodule exists and that it contains the following variables:\n SUPERUSER_USERNAME, SUPERUSER_PASSWORD,\n CH_PASSWORD, CH_USERNAME\n\"\"\"\n raise\n\n \n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def run():\n client = Client()\n client.login(username=SUPERUSER_USERNAME,\n password=SUPERUSER_PASSWORD)\n \n # Add all planetlab aggregates\n for pl_agg in PL_AGGREGATE_INFO:\n print \"adding pl agg %s\" % pl_agg[\"url\"]\n response = test_get_and_post_form(\n client,\n reverse(\"planetlab_aggregate_create\"),\n pl_agg,\n )\n print \"got response %s\" % response\n assert response.status_code == 302\n \n for of_agg in OF_AGGREGATE_INFO:\n print \"adding of agg %s\" % of_agg[\"url\"]\n response = test_get_and_post_form(\n client,\n reverse(\"openflow_aggregate_create\"),\n of_agg,\n del_params=[\"verify_certs\"],\n )\n assert response.status_code == 302\n \n for cnxn_tuple in OF_PL_CONNECTIONS:\n print \"adding cnxn %s\" % (cnxn_tuple,)\n NonOpenFlowConnection.objects.get_or_create(\n of_iface=OpenFlowInterface.objects.get(\n switch__datapath_id=cnxn_tuple[0],\n port_num=cnxn_tuple[1],\n ),\n resource=PlanetLabNode.objects.get(name=cnxn_tuple[2]),\n )\n \n client.logout()\n \n for username, info in USER_INFO.items():\n # create user\n User.objects.create_user(\n username=username, email=info[\"email\"], password=info[\"password\"])\n \n client.login(username=username, password=info[\"password\"])\n # create project and slice\n for project in info[\"projects\"]:\n response = test_get_and_post_form(\n client, reverse(\"project_create\"),\n params=dict(\n name=project[\"name\"],\n description=project[\"description\"],\n ),\n )\n assert response.status_code == 302\n # This code is missing the project id. Need to get somehow to use reverse.\n # for slice in project[\"slices\"]:\n # response = test_get_and_post_form(\n # client, reverse(\"slice_create\"),\n # params=dict(\n # name=slice[\"name\"],\n # description=slice[\"description\"],\n # ),\n # )\n # assert response.status_code == 302\n client.logout()", "metadata": "root.run", "header": "['module', '___EOS___']", "index": 30 } ]
[ { "span": "from pyquery import PyQuery as pq", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 33 } ]
[]
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Unused import
treeio/treeio/treeio/changes/south_migrations/0001_initial.py
[ { "content": "# encoding: utf-8\n# Copyright 2011 Tree.io Limited\n# This file is part of Treeio.\n# License www.tree.io/license\n\n# encoding: utf-8\nimport datetime\nfrom south.db import db\nfrom south.v2 import SchemaMigration\nfrom django.db import models\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(SchemaMigration):\n\n\n\n models = {\n 'auth.group': {\n 'Meta': {'object_name': 'Group'},\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),\n 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': \"orm['auth.Permission']\", 'symmetrical': 'False', 'blank': 'True'})\n },\n 'auth.permission': {\n 'Meta': {'ordering': \"('content_type__app_label', 'content_type__model', 'codename')\", 'unique_together': \"(('content_type', 'codename'),)\", 'object_name': 'Permission'},\n 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['contenttypes.ContentType']\"}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})\n },\n 'auth.user': {\n 'Meta': {'object_name': 'User'},\n 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),\n 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),\n 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': \"orm['auth.Group']\", 'symmetrical': 'False', 'blank': 'True'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),\n 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),\n 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),\n 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': \"orm['auth.Permission']\", 'symmetrical': 'False', 'blank': 'True'}),\n 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})\n },\n 'changes.change': {\n 'Meta': {'ordering': \"['-date_created']\", 'object_name': 'Change'},\n 'change_from': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'change_set': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['changes.ChangeSet']\"}),\n 'change_to': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'change_type': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),\n 'date_created': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'field': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'})\n },\n 'changes.changeset': {\n 'Meta': {'ordering': \"('-date_created', 'name')\", 'object_name': 'ChangeSet'},\n 'author': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'author'\", 'null': 'True', 'to': \"orm['core.User']\"}),\n 'date_created': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'details': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}),\n 'object': ('django.db.models.fields.related.ForeignKey', [], {'related_name': \"'changeset_object_set'\", 'to': \"orm['core.Object']\"}),\n 'resolved_by': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['core.User']\", 'null': 'True', 'blank': 'True'}),\n 'resolved_on': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),\n 'status': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['changes.ChangeSetStatus']\"})\n },\n 'changes.changesetstatus': {\n 'Meta': {'ordering': \"('hidden', '-active', 'name')\", 'object_name': 'ChangeSetStatus', '_ormbases': ['core.Object']},\n 'active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),\n 'details': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'hidden': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '256'}),\n 'object_ptr': ('django.db.models.fields.related.OneToOneField', [], {'to': \"orm['core.Object']\", 'unique': 'True', 'primary_key': 'True'})\n },\n 'contenttypes.contenttype': {\n 'Meta': {'ordering': \"('name',)\", 'unique_together': \"(('app_label', 'model'),)\", 'object_name': 'ContentType', 'db_table': \"'django_content_type'\"},\n 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})\n },\n 'core.group': {\n 'Meta': {'ordering': \"['name']\", 'object_name': 'Group'},\n 'details': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'last_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '256'}),\n 'parent': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'child_set'\", 'null': 'True', 'to': \"orm['core.Group']\"})\n },\n 'core.object': {\n 'Meta': {'object_name': 'Object'},\n 'date_created': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'everybody_execute': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'everybody_read': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'everybody_write': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'group': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['core.Group']\"}),\n 'group_execute': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'group_read': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'group_write': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'last_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),\n 'links': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': \"'links_rel_+'\", 'null': 'True', 'to': \"orm['core.Object']\"}),\n 'nuvius_resource': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),\n 'object_name': ('django.db.models.fields.CharField', [], {'max_length': '512', 'null': 'True', 'blank': 'True'}),\n 'object_type': ('django.db.models.fields.CharField', [], {'max_length': '512', 'null': 'True', 'blank': 'True'}),\n 'subscribers': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': \"'subscriptions'\", 'null': 'True', 'symmetrical': 'False', 'to': \"orm['core.User']\"}),\n 'trash': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['core.User']\"}),\n 'user_execute': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'user_read': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'user_write': ('django.db.models.fields.BooleanField', [], {'default': 'False'})\n },\n 'core.user': {\n 'Meta': {'ordering': \"['name']\", 'object_name': 'User'},\n 'default_group': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'default_user_set'\", 'null': 'True', 'to': \"orm['core.Group']\"}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'last_updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '256'}),\n 'other_groups': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': \"orm['core.Group']\", 'null': 'True', 'blank': 'True'}),\n 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['auth.User']\"})\n }\n }\n\n complete_apps = ['changes']", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 12 }, { "content": " def forwards(self, orm):\n\n # Adding model 'ChangeSetStatus'\n db.create_table('changes_changesetstatus', (\n ('object_ptr', self.gf('django.db.models.fields.related.OneToOneField')(\n to=orm['core.Object'], unique=True, primary_key=True)),\n ('name', self.gf('django.db.models.fields.CharField')\n (max_length=256)),\n ('details', self.gf('django.db.models.fields.TextField')\n (null=True, blank=True)),\n ('active', self.gf('django.db.models.fields.BooleanField')\n (default=True)),\n ('hidden', self.gf('django.db.models.fields.BooleanField')\n (default=False)),\n ))\n db.send_create_signal('changes', ['ChangeSetStatus'])\n\n # Adding model 'ChangeSet'\n db.create_table('changes_changeset', (\n ('id', self.gf('django.db.models.fields.AutoField')\n (primary_key=True)),\n ('name', self.gf('django.db.models.fields.CharField')\n (max_length=255)),\n ('object', self.gf('django.db.models.fields.related.ForeignKey')\n (related_name='changeset_object_set', to=orm['core.Object'])),\n ('author', self.gf('django.db.models.fields.related.ForeignKey')(\n blank=True, related_name='author', null=True, to=orm['core.User'])),\n ('resolved_by', self.gf('django.db.models.fields.related.ForeignKey')(\n to=orm['core.User'], null=True, blank=True)),\n ('resolved_on', self.gf('django.db.models.fields.DateTimeField')\n (null=True, blank=True)),\n ('status', self.gf('django.db.models.fields.related.ForeignKey')\n (to=orm['changes.ChangeSetStatus'])),\n ('details', self.gf('django.db.models.fields.TextField')\n (null=True, blank=True)),\n ('date_created', self.gf('django.db.models.fields.DateTimeField')\n (default=datetime.datetime.now)),\n ))\n db.send_create_signal('changes', ['ChangeSet'])\n\n # Adding model 'Change'\n db.create_table('changes_change', (\n ('id', self.gf('django.db.models.fields.AutoField')\n (primary_key=True)),\n ('change_set', self.gf('django.db.models.fields.related.ForeignKey')(\n to=orm['changes.ChangeSet'])),\n ('change_type', self.gf('django.db.models.fields.CharField')\n (max_length=255, null=True, blank=True)),\n ('field', self.gf('django.db.models.fields.CharField')\n (max_length=255, null=True, blank=True)),\n ('change_from', self.gf('django.db.models.fields.TextField')\n (null=True, blank=True)),\n ('change_to', self.gf('django.db.models.fields.TextField')\n (null=True, blank=True)),\n ('date_created', self.gf('django.db.models.fields.DateTimeField')\n (default=datetime.datetime.now)),\n ))\n db.send_create_signal('changes', ['Change'])", "metadata": "root.Migration.forwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 14 }, { "content": " def backwards(self, orm):\n\n # Deleting model 'ChangeSetStatus'\n db.delete_table('changes_changesetstatus')\n\n # Deleting model 'ChangeSet'\n db.delete_table('changes_changeset')\n\n # Deleting model 'Change'\n db.delete_table('changes_change')", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 73 } ]
[ { "span": "from django.db import models", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 28 } ]
[]
1
false
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Except block handles 'BaseException'
michael-lazar/rtv/rtv/objects.py
[ { "content": "@contextmanager\ndef curses_session():\n \"\"\"\n Setup terminal and initialize curses. Most of this copied from\n curses.wrapper in order to convert the wrapper into a context manager.\n \"\"\"\n\n try:\n # Curses must wait for some time after the Escape key is pressed to\n # check if it is the beginning of an escape sequence indicating a\n # special key. The default wait time is 1 second, which means that\n # http://stackoverflow.com/questions/27372068\n os.environ['ESCDELAY'] = '25'\n\n # Initialize curses\n stdscr = curses.initscr()\n\n # Turn off echoing of keys, and enter cbreak mode, where no buffering\n # is performed on keyboard input\n curses.noecho()\n curses.cbreak()\n\n # In keypad mode, escape sequences for special keys (like the cursor\n # keys) will be interpreted and a special value like curses.KEY_LEFT\n # will be returned\n stdscr.keypad(1)\n\n # Start color, too. Harmless if the terminal doesn't have color; user\n # can test with has_color() later on. The try/catch works around a\n # minor bit of over-conscientiousness in the curses module -- the error\n # return from C start_color() is ignorable.\n try:\n curses.start_color()\n except:\n pass\n\n # Hide the blinking cursor\n curses.curs_set(0)\n\n # Assign the terminal's default (background) color to code -1\n curses.use_default_colors()\n\n yield stdscr\n\n finally:\n if 'stdscr' in locals():\n stdscr.keypad(0)\n curses.echo()\n curses.nocbreak()\n curses.endwin()", "metadata": "root.curses_session", "header": "['module', '___EOS___']", "index": 25 } ]
[ { "span": "except:", "start_line": 58, "start_column": 8, "end_line": 58, "end_column": 15 } ]
[]
1
true
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Unused import
treyhunner/django-simple-history/simple_history/tests/tests/test_admin.py
[ { "content": "from datetime import datetime, timedelta\n\nfrom mock import patch, ANY\nfrom django_webtest import WebTest\nfrom django.contrib.admin import AdminSite\nfrom django.contrib.messages.storage.fallback import FallbackStorage\nfrom django.db.transaction import atomic\nfrom django.test.utils import override_settings\nfrom django.test.client import RequestFactory\nfrom django import VERSION\nfrom django.core.urlresolvers import reverse\nfrom django.conf import settings\nfrom django.utils.encoding import force_text\n\ntry:\n from django.contrib.auth import get_user_model\n User = get_user_model()\nexcept ImportError: # Django < 1.5\n from django.contrib.auth.models import User\ntry:\n from django.contrib.admin.utils import quote\nexcept ImportError: # Django < 1.7\n from django.contrib.admin.util import quote\n\nfrom simple_history.models import HistoricalRecords\nfrom simple_history.admin import SimpleHistoryAdmin\nfrom ..models import Book, Person, Poll, State, Employee\n\n\ntoday = datetime(2021, 1, 1, 10, 0)\ntomorrow = today + timedelta(days=1)\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def get_history_url(obj, history_index=None, site=\"admin\"):\n app, model = obj._meta.app_label, obj._meta.model_name\n if history_index is not None:\n history = obj.history.order_by('history_id')[history_index]\n return reverse(\n \"{site}:{app}_{model}_simple_history\".format(\n site=site, app=app, model=model),\n args=[quote(obj.pk), quote(history.history_id)],\n )\n else:\n return reverse(\"{site}:{app}_{model}_history\".format(\n site=site, app=app, model=model), args=[quote(obj.pk)])", "metadata": "root.get_history_url", "header": "['module', '___EOS___']", "index": 33 }, { "content": "class AdminSiteTest(WebTest):\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.AdminSiteTest", "header": "['module', '___EOS___']", "index": 47 }, { "content": " def setUp(self):\n self.user = User.objects.create_superuser('user_login',\n '[email protected]', 'pass')", "metadata": "root.AdminSiteTest.setUp", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 48 }, { "content": " def tearDown(self):\n try:\n del HistoricalRecords.thread.request\n except AttributeError:\n pass", "metadata": "root.AdminSiteTest.tearDown", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 52 }, { "content": " def login(self, user=None):\n if user is None:\n user = self.user\n form = self.app.get(reverse('admin:index')).maybe_follow().form\n form['username'] = user.username\n form['password'] = 'pass'\n return form.submit()", "metadata": "root.AdminSiteTest.login", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 58 }, { "content": " def test_history_list(self):\n model_name = self.user._meta.model_name\n self.assertEqual(model_name, 'customuser')\n self.login()\n poll = Poll(question=\"why?\", pub_date=today)\n poll._history_user = self.user\n poll.save()\n response = self.app.get(get_history_url(poll))\n self.assertIn(get_history_url(poll, 0), response.unicode_normal_body)\n self.assertIn(\"Poll object\", response.unicode_normal_body)\n self.assertIn(\"Created\", response.unicode_normal_body)\n self.assertIn(self.user.username, response.unicode_normal_body)", "metadata": "root.AdminSiteTest.test_history_list", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 66 }, { "content": " def test_history_form_permission(self):\n self.login(self.user)\n person = Person.objects.create(name='Sandra Hale')\n self.app.get(get_history_url(person, 0), status=403)", "metadata": "root.AdminSiteTest.test_history_form_permission", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 79 }, { "content": " def test_invalid_history_form(self):\n self.login()\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n response = self.app.get(get_history_url(poll, 0))\n response.form['question'] = \"\"\n response = response.form.submit()\n self.assertEqual(response.status_code, 200)\n self.assertIn(\"This field is required\", response.unicode_normal_body)", "metadata": "root.AdminSiteTest.test_invalid_history_form", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 84 }, { "content": " def test_history_form(self):\n self.login()\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n\n # Make sure form for initial version is correct\n response = self.app.get(get_history_url(poll, 0))\n self.assertEqual(response.form['question'].value, \"why?\")\n self.assertEqual(response.form['pub_date_0'].value, \"2021-01-01\")\n self.assertEqual(response.form['pub_date_1'].value, \"10:00:00\")\n\n # Create new version based on original version\n response.form['question'] = \"what?\"\n response.form['pub_date_0'] = \"2021-01-02\"\n response = response.form.submit()\n self.assertEqual(response.status_code, 302)\n if VERSION < (1, 4, 0):\n self.assertTrue(response.headers['location']\n .endswith(get_history_url(poll)))\n else:\n self.assertTrue(response.headers['location']\n .endswith(reverse('admin:tests_poll_changelist')))\n\n # Ensure form for second version is correct\n response = self.app.get(get_history_url(poll, 1))\n self.assertEqual(response.form['question'].value, \"how?\")\n self.assertEqual(response.form['pub_date_0'].value, \"2021-01-01\")\n self.assertEqual(response.form['pub_date_1'].value, \"10:00:00\")\n\n # Ensure form for new third version is correct\n response = self.app.get(get_history_url(poll, 2))\n self.assertEqual(response.form['question'].value, \"what?\")\n self.assertEqual(response.form['pub_date_0'].value, \"2021-01-02\")\n self.assertEqual(response.form['pub_date_1'].value, \"10:00:00\")\n\n # Ensure current version of poll is correct\n poll = Poll.objects.get()\n self.assertEqual(poll.question, \"what?\")\n self.assertEqual(poll.pub_date, tomorrow)\n self.assertEqual([p.history_user for p in Poll.history.all()],\n [self.user, None, None])", "metadata": "root.AdminSiteTest.test_history_form", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 93 }, { "content": " def test_history_user_on_save_in_admin(self):\n self.login()\n\n # Ensure polls created via admin interface save correct user\n add_page = self.app.get(reverse('admin:tests_poll_add'))\n add_page.form['question'] = \"new poll?\"\n add_page.form['pub_date_0'] = \"2012-01-01\"\n add_page.form['pub_date_1'] = \"10:00:00\"\n changelist_page = add_page.form.submit().follow()\n self.assertEqual(Poll.history.get().history_user, self.user)\n\n # Ensure polls saved on edit page in admin interface save correct user\n change_page = changelist_page.click(\"Poll object\")\n change_page.form.submit()\n self.assertEqual([p.history_user for p in Poll.history.all()],\n [self.user, self.user])", "metadata": "root.AdminSiteTest.test_history_user_on_save_in_admin", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 136 }, { "content": " def test_underscore_in_pk(self):\n self.login()\n book = Book(isbn=\"9780147_513731\")\n book._history_user = self.user\n book.save()\n response = self.app.get(get_history_url(book))\n self.assertIn(book.history.all()[0].revert_url(),\n response.unicode_normal_body)", "metadata": "root.AdminSiteTest.test_underscore_in_pk", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 153 }, { "content": " def test_historical_user_no_setter(self):\n \"\"\"Demonstrate admin error without `_historical_user` setter.\n (Issue #43)\n\n \"\"\"\n self.login()\n add_page = self.app.get(reverse('admin:tests_document_add'))\n self.assertRaises(AttributeError, add_page.form.submit)", "metadata": "root.AdminSiteTest.test_historical_user_no_setter", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 162 }, { "content": " def test_historical_user_with_setter(self):\n \"\"\"Documented work-around for #43\"\"\"\n self.login()\n add_page = self.app.get(reverse('admin:tests_paper_add'))\n add_page.form.submit()", "metadata": "root.AdminSiteTest.test_historical_user_with_setter", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 171 }, { "content": " def test_history_user_not_saved(self):\n self.login()\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n historical_poll = poll.history.all()[0]\n self.assertIsNone(\n historical_poll.history_user,\n \"No way to know of request, history_user should be unset.\",\n )", "metadata": "root.AdminSiteTest.test_history_user_not_saved", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 177 }, { "content": " def test_middleware_saves_user(self):\n overridden_settings = {\n 'MIDDLEWARE_CLASSES':\n settings.MIDDLEWARE_CLASSES\n + ['simple_history.middleware.HistoryRequestMiddleware'],\n }\n with override_settings(**overridden_settings):\n self.login()\n form = self.app.get(reverse('admin:tests_book_add')).form\n form[\"isbn\"] = \"9780147_513731\"\n form.submit()\n book = Book.objects.get()\n historical_book = book.history.all()[0]\n\n self.assertEqual(historical_book.history_user, self.user,\n \"Middleware should make the request available to \"\n \"retrieve history_user.\")", "metadata": "root.AdminSiteTest.test_middleware_saves_user", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 186 }, { "content": " def test_middleware_unsets_request(self):\n overridden_settings = {\n 'MIDDLEWARE_CLASSES':\n settings.MIDDLEWARE_CLASSES\n + ['simple_history.middleware.HistoryRequestMiddleware'],\n }\n with override_settings(**overridden_settings):\n self.login()\n self.app.get(reverse('admin:tests_book_add'))\n self.assertFalse(hasattr(HistoricalRecords.thread, 'request'))", "metadata": "root.AdminSiteTest.test_middleware_unsets_request", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 204 }, { "content": " def test_rolled_back_user_does_not_lead_to_foreign_key_error(self):\n # This test simulates the rollback of a user after a request (which\n # happens, e.g. in test cases), and verifies that subsequently\n # creating a new entry does not fail with a foreign key error.\n\n overridden_settings = {\n 'MIDDLEWARE_CLASSES':\n settings.MIDDLEWARE_CLASSES\n + ['simple_history.middleware.HistoryRequestMiddleware'],\n }\n with override_settings(**overridden_settings):\n self.login()\n self.assertEqual(\n self.app.get(reverse('admin:tests_book_add')).status_code,\n 200,\n )\n\n book = Book.objects.create(isbn=\"9780147_513731\")\n\n historical_book = book.history.all()[0]\n\n self.assertIsNone(\n historical_book.history_user,\n \"No way to know of request, history_user should be unset.\",\n )", "metadata": "root.AdminSiteTest.test_rolled_back_user_does_not_lead_to_foreign_key_error", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 215 }, { "content": " def test_middleware_anonymous_user(self):\n overridden_settings = {\n 'MIDDLEWARE_CLASSES':\n settings.MIDDLEWARE_CLASSES\n + ['simple_history.middleware.HistoryRequestMiddleware'],\n }\n with override_settings(**overridden_settings):\n self.app.get(reverse('admin:index'))\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n historical_poll = poll.history.all()[0]\n self.assertEqual(historical_poll.history_user, None,\n \"Middleware request user should be able to \"\n \"be anonymous.\")", "metadata": "root.AdminSiteTest.test_middleware_anonymous_user", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 241 }, { "content": " def test_other_admin(self):\n \"\"\"Test non-default admin instances.\n\n Make sure non-default admin instances can resolve urls and\n render pages.\n \"\"\"\n self.login()\n state = State.objects.create()\n history_url = get_history_url(state, site=\"other_admin\")\n self.app.get(history_url)\n change_url = get_history_url(state, 0, site=\"other_admin\")\n self.app.get(change_url)", "metadata": "root.AdminSiteTest.test_other_admin", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 255 }, { "content": " def test_deleteting_user(self):\n \"\"\"Test deletes of a user does not cascade delete the history\"\"\"\n self.login()\n poll = Poll(question=\"why?\", pub_date=today)\n poll._history_user = self.user\n poll.save()\n\n historical_poll = poll.history.all()[0]\n self.assertEqual(historical_poll.history_user, self.user)\n\n self.user.delete()\n\n historical_poll = poll.history.all()[0]\n self.assertEqual(historical_poll.history_user, None)", "metadata": "root.AdminSiteTest.test_deleteting_user", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 268 }, { "content": " def test_missing_one_to_one(self):\n \"\"\"A relation to a missing one-to-one model should still show\n history\"\"\"\n self.login()\n manager = Employee.objects.create()\n employee = Employee.objects.create(manager=manager)\n employee.manager = None\n employee.save()\n manager.delete()\n response = self.app.get(get_history_url(employee, 0))\n self.assertEqual(response.status_code, 200)", "metadata": "root.AdminSiteTest.test_missing_one_to_one", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 283 }, { "content": " def test_history_deleted_instance(self):\n \"\"\"Ensure history page can be retrieved even for deleted instances\"\"\"\n self.login()\n employee = Employee.objects.create()\n employee_pk = employee.pk\n employee.delete()\n employee.pk = employee_pk\n response = self.app.get(get_history_url(employee))\n self.assertEqual(response.status_code, 200)", "metadata": "root.AdminSiteTest.test_history_deleted_instance", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 295 }, { "content": " def test_response_change(self):\n \"\"\"\n Test the response_change method that it works with a _change_history\n in the POST and settings.SIMPLE_HISTORY_EDIT set to True\n \"\"\"\n request = RequestFactory().post('/')\n request.POST = {'_change_history': True}\n request.session = 'session'\n request._messages = FallbackStorage(request)\n request.path = '/awesome/url/'\n\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n\n admin_site = AdminSite()\n admin = SimpleHistoryAdmin(Poll, admin_site)\n\n with patch('simple_history.admin.SIMPLE_HISTORY_EDIT', True):\n response = admin.response_change(request, poll)\n\n self.assertEqual(response['Location'], '/awesome/url/')", "metadata": "root.AdminSiteTest.test_response_change", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 305 }, { "content": " def test_response_change_change_history_setting_off(self):\n \"\"\"\n Test the response_change method that it works with a _change_history\n in the POST and settings.SIMPLE_HISTORY_EDIT set to False\n \"\"\"\n request = RequestFactory().post('/')\n request.POST = {'_change_history': True}\n request.session = 'session'\n request._messages = FallbackStorage(request)\n request.path = '/awesome/url/'\n request.user = self.user\n\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n\n admin_site = AdminSite()\n admin = SimpleHistoryAdmin(Poll, admin_site)\n\n response = admin.response_change(request, poll)\n\n with patch(\n 'simple_history.admin.admin.ModelAdmin.response_change'\n ) as m_admin:\n m_admin.return_value = 'it was called'\n response = admin.response_change(request, poll)\n\n self.assertEqual(response, 'it was called')", "metadata": "root.AdminSiteTest.test_response_change_change_history_setting_off", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 328 }, { "content": " def test_response_change_no_change_history(self):\n request = RequestFactory().post('/')\n request.session = 'session'\n request._messages = FallbackStorage(request)\n request.user = self.user\n\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n\n admin_site = AdminSite()\n admin = SimpleHistoryAdmin(Poll, admin_site)\n\n with patch(\n 'simple_history.admin.admin.ModelAdmin.response_change'\n ) as m_admin:\n m_admin.return_value = 'it was called'\n response = admin.response_change(request, poll)\n\n self.assertEqual(response, 'it was called')", "metadata": "root.AdminSiteTest.test_response_change_no_change_history", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 357 }, { "content": " def test_history_form_view_without_getting_history(self):\n request = RequestFactory().post('/')\n request.session = 'session'\n request._messages = FallbackStorage(request)\n request.user = self.user\n\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n history = poll.history.all()[0]\n\n admin_site = AdminSite()\n admin = SimpleHistoryAdmin(Poll, admin_site)\n\n with patch('simple_history.admin.render') as mock_render:\n admin.history_form_view(request, poll.id, history.pk)\n\n context = {\n # Verify this is set for original object\n 'original': poll,\n 'change_history': False,\n\n 'title': 'Revert %s' % force_text(poll),\n 'adminform': ANY,\n 'object_id': poll.id,\n 'is_popup': False,\n 'media': ANY,\n 'errors': ANY,\n 'app_label': 'tests',\n 'original_opts': ANY,\n 'changelist_url': '/admin/tests/poll/',\n 'change_url': ANY,\n 'history_url': '/admin/tests/poll/1/history/',\n 'add': False,\n 'change': True,\n 'has_add_permission': admin.has_add_permission(request),\n 'has_change_permission': admin.has_change_permission(\n request, poll),\n 'has_delete_permission': admin.has_delete_permission(\n request, poll),\n 'has_file_field': True,\n 'has_absolute_url': False,\n 'form_url': '',\n 'opts': ANY,\n 'content_type_id': ANY,\n 'save_as': admin.save_as,\n 'save_on_top': admin.save_on_top,\n 'root_path': getattr(admin_site, 'root_path', None),\n }\n\n mock_render.assert_called_once_with(\n request, template_name=admin.object_history_form_template,\n dictionary=context, current_app=admin_site.name)", "metadata": "root.AdminSiteTest.test_history_form_view_without_getting_history", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 378 }, { "content": " def test_history_form_view_getting_history(self):\n request = RequestFactory().post('/')\n request.session = 'session'\n request._messages = FallbackStorage(request)\n request.user = self.user\n request.POST = {'_change_history': True}\n\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n history = poll.history.all()[0]\n\n admin_site = AdminSite()\n admin = SimpleHistoryAdmin(Poll, admin_site)\n\n with patch('simple_history.admin.render') as mock_render:\n with patch('simple_history.admin.SIMPLE_HISTORY_EDIT', True):\n admin.history_form_view(request, poll.id, history.pk)\n\n context = {\n # Verify this is set for history object not poll object\n 'original': history.instance,\n 'change_history': True,\n\n 'title': 'Revert %s' % force_text(history.instance),\n 'adminform': ANY,\n 'object_id': poll.id,\n 'is_popup': False,\n 'media': ANY,\n 'errors': ANY,\n 'app_label': 'tests',\n 'original_opts': ANY,\n 'changelist_url': '/admin/tests/poll/',\n 'change_url': ANY,\n 'history_url': '/admin/tests/poll/{pk}/history/'.format(\n pk=poll.pk),\n 'add': False,\n 'change': True,\n 'has_add_permission': admin.has_add_permission(request),\n 'has_change_permission': admin.has_change_permission(\n request, poll),\n 'has_delete_permission': admin.has_delete_permission(\n request, poll),\n 'has_file_field': True,\n 'has_absolute_url': False,\n 'form_url': '',\n 'opts': ANY,\n 'content_type_id': ANY,\n 'save_as': admin.save_as,\n 'save_on_top': admin.save_on_top,\n 'root_path': getattr(admin_site, 'root_path', None),\n }\n\n mock_render.assert_called_once_with(\n request, template_name=admin.object_history_form_template,\n dictionary=context, current_app=admin_site.name)", "metadata": "root.AdminSiteTest.test_history_form_view_getting_history", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 432 }, { "content": " def test_history_form_view_getting_history_with_setting_off(self):\n request = RequestFactory().post('/')\n request.session = 'session'\n request._messages = FallbackStorage(request)\n request.user = self.user\n request.POST = {'_change_history': True}\n\n poll = Poll.objects.create(question=\"why?\", pub_date=today)\n poll.question = \"how?\"\n poll.save()\n history = poll.history.all()[0]\n\n admin_site = AdminSite()\n admin = SimpleHistoryAdmin(Poll, admin_site)\n\n with patch('simple_history.admin.render') as mock_render:\n with patch('simple_history.admin.SIMPLE_HISTORY_EDIT', False):\n admin.history_form_view(request, poll.id, history.pk)\n\n context = {\n # Verify this is set for history object not poll object\n 'original': poll,\n 'change_history': False,\n\n 'title': 'Revert %s' % force_text(poll),\n 'adminform': ANY,\n 'object_id': poll.id,\n 'is_popup': False,\n 'media': ANY,\n 'errors': ANY,\n 'app_label': 'tests',\n 'original_opts': ANY,\n 'changelist_url': '/admin/tests/poll/',\n 'change_url': ANY,\n 'history_url': '/admin/tests/poll/1/history/',\n 'add': False,\n 'change': True,\n 'has_add_permission': admin.has_add_permission(request),\n 'has_change_permission': admin.has_change_permission(\n request, poll),\n 'has_delete_permission': admin.has_delete_permission(\n request, poll),\n 'has_file_field': True,\n 'has_absolute_url': False,\n 'form_url': '',\n 'opts': ANY,\n 'content_type_id': ANY,\n 'save_as': admin.save_as,\n 'save_on_top': admin.save_on_top,\n 'root_path': getattr(admin_site, 'root_path', None),\n }\n\n mock_render.assert_called_once_with(\n request, template_name=admin.object_history_form_template,\n dictionary=context, current_app=admin_site.name)", "metadata": "root.AdminSiteTest.test_history_form_view_getting_history_with_setting_off", "header": "['class', 'AdminSiteTest', '(', 'WebTest', ')', ':', '___EOS___']", "index": 489 } ]
[ { "span": "from django.db.transaction import atomic", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 40 } ]
[]
1
false
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Unused local variable
ReactiveX/RxPY/tests/test_observable/py3_tofuture.py
[ { "content": " def test_future_failure(self):\n loop = asyncio.get_event_loop()\n success = [True, False]\n\n @asyncio.coroutine\n def go():\n error = Exception('woops')\n\n source = Observable.throw_exception(error)\n\n future = source.to_future(asyncio.Future)\n\n def done(future):\n try:\n value = future.result()\n except Exception as ex:\n success[1] = str(ex) == str(error)\n else:\n success[0] = False\n\n future.add_done_callback(done)\n\n loop.run_until_complete(go())\n assert(all(success))", "metadata": "root.TestToFuture.test_future_failure", "header": "['class', 'TestToFuture', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 44 } ]
[ { "span": "value ", "start_line": 58, "start_column": 20, "end_line": 58, "end_column": 25 } ]
[]
1
true
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Unused import
ilayn/harold/setup.py
[ { "content": "\"\"\"A setuptools based setup module.\nSee:\nhttps://packaging.python.org/en/latest/distributing.html\nhttps://github.com/pypa/sampleproject\n\"\"\"\n\n# Always prefer setuptools over distutils\nfrom setuptools import setup, find_packages\n# To use a consistent encoding\nfrom codecs import open\nfrom os import path\nimport io\n\nhere = path.abspath(path.dirname(__file__))\n\n# Get the long description from the relevant file\n\n\n \nlong_description = read('README.rst', 'CHANGES.txt')\n\nsetup(\n name='harold',\n author='Ilhan Polat',\n author_email='[email protected]',\n url='https://github.com/ilayn/harold',\n version='0.1.1a8',\n description='A control systems library for Python3',\n long_description=long_description,\n license='MIT',\n classifiers=[\n 'Development Status :: 3 - Alpha',\n 'Topic :: Software Development :: Build Tools',\n 'License :: OSI Approved :: MIT License',\n 'Programming Language :: Python :: 3',\n 'Programming Language :: Python :: 3.4',\n 'Programming Language :: Python :: 3.5',\n 'Intended Audience :: Science/Research',\n 'Intended Audience :: Developers',\n 'Topic :: Software Development',\n 'Topic :: Scientific/Engineering',\n 'Operating System :: Microsoft :: Windows',\n 'Operating System :: Unix',\n 'Operating System :: MacOS'\n ],\n packages=['harold'],\n package_dir={'harold': 'harold'},\n install_requires=['numpy','scipy','tabulate'],\n tests_require=['numpy','nose'],\n test_suite = 'nose.collector',\n keywords='control-theory PID controller design industrial automation',\n # List additional groups of dependencies here (e.g. development\n # dependencies). You can install these using the following syntax,\n # for example:\n # $ pip install -e .[dev,test]\n extras_require={\n 'dev': ['check-manifest'],\n 'test': ['coverage'],\n },\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def read(*filenames, **kwargs):\n encoding = kwargs.get('encoding', 'utf-8')\n sep = kwargs.get('sep', '\\n')\n buf = []\n for filename in filenames:\n with io.open(filename, encoding=encoding) as f:\n buf.append(f.read())\n return sep.join(buf)", "metadata": "root.read", "header": "['module', '___EOS___']", "index": 18 } ]
[ { "span": "from setuptools import setup, find_packages", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 43 }, { "span": "from codecs import open", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 23 } ]
[]
1
false
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Unused local variable
numba/numba/numba/targets/linalg.py
[ { "content": "def dot_2_vm(context, builder, sig, args):\n \"\"\"\n np.dot(vector, matrix)\n \"\"\"\n def dot_impl(a, b):\n m, = a.shape\n _m, n = b.shape\n out = numpy.empty((n, ), a.dtype)\n return numpy.dot(a, b, out)\n\n res = context.compile_internal(builder, dot_impl, sig, args)\n return impl_ret_new_ref(context, builder, sig.return_type, res)", "metadata": "root.dot_2_vm", "header": "['module', '___EOS___']", "index": 253 }, { "content": "def dot_2_mv(context, builder, sig, args):\n \"\"\"\n np.dot(matrix, vector)\n \"\"\"\n def dot_impl(a, b):\n m, n = a.shape\n _n, = b.shape\n out = numpy.empty((m, ), a.dtype)\n return numpy.dot(a, b, out)\n\n res = context.compile_internal(builder, dot_impl, sig, args)\n return impl_ret_new_ref(context, builder, sig.return_type, res)", "metadata": "root.dot_2_mv", "header": "['module', '___EOS___']", "index": 267 }, { "content": "def dot_3_vm(context, builder, sig, args):\n \"\"\"\n np.dot(vector, matrix, out)\n np.dot(matrix, vector, out)\n \"\"\"\n xty, yty, outty = sig.args\n assert outty == sig.return_type\n dtype = xty.dtype\n\n x = make_array(xty)(context, builder, args[0])\n y = make_array(yty)(context, builder, args[1])\n out = make_array(outty)(context, builder, args[2])\n x_shapes = cgutils.unpack_tuple(builder, x.shape)\n y_shapes = cgutils.unpack_tuple(builder, y.shape)\n out_shapes = cgutils.unpack_tuple(builder, out.shape)\n if xty.ndim < yty.ndim:\n # Vector * matrix\n # Asked for x * y, we will compute y.T * x\n mty = yty\n m_shapes = y_shapes\n do_trans = yty.layout == 'F'\n m_data, v_data = y.data, x.data\n\n def check_args(a, b, out):\n m, = a.shape\n _m, n = b.shape\n if m != _m:\n raise ValueError(\"incompatible array sizes for \"\n \"np.dot(a, b) (vector * matrix)\")\n if out.shape != (n,):\n raise ValueError(\"incompatible output array size for \"\n \"np.dot(a, b, out) (vector * matrix)\")\n else:\n # Matrix * vector\n # We will compute x * y\n mty = xty\n m_shapes = x_shapes\n do_trans = xty.layout == 'C'\n m_data, v_data = x.data, y.data\n\n def check_args(a, b, out):\n m, _n = a.shape\n n, = b.shape\n if n != _n:\n raise ValueError(\"incompatible array sizes for np.dot(a, b) \"\n \"(matrix * vector)\")\n if out.shape != (m,):\n raise ValueError(\"incompatible output array size for \"\n \"np.dot(a, b, out) (matrix * vector)\")\n\n context.compile_internal(builder, check_args,\n signature(types.none, *sig.args), args)\n for val in m_shapes:\n check_c_int(context, builder, val)\n\n call_xxgemv(context, builder, do_trans, mty, m_shapes, m_data,\n v_data, out.data)\n\n return impl_ret_borrowed(context, builder, sig.return_type,\n out._getvalue())", "metadata": "root.dot_3_vm", "header": "['module', '___EOS___']", "index": 342 }, { "content": " @overload(numpy.linalg.cholesky)\n def cho_impl(a):\n ensure_lapack()\n\n _check_linalg_matrix(a, \"cholesky\")\n\n xxpotrf_sig = types.intc(types.int8, types.int8, types.intp,\n types.CPointer(a.dtype), types.intp)\n xxpotrf = types.ExternalFunction(\"numba_xxpotrf\", xxpotrf_sig)\n\n kind = ord(get_blas_kind(a.dtype, \"cholesky\"))\n UP = ord('U')\n LO = ord('L')\n\n def cho_impl(a):\n n = a.shape[-1]\n if a.shape[-2] != n:\n msg = \"Last 2 dimensions of the array must be square.\"\n raise numpy.linalg.LinAlgError(msg)\n\n # The output is allocated in C order\n out = a.copy()\n # Pass UP since xxpotrf() operates in F order\n # The semantics ensure this works fine\n # (out is really its Hermitian in F order, but UP instructs\n # xxpotrf to compute the Hermitian of the upper triangle\n # => they cancel each other)\n r = xxpotrf(kind, UP, n, out.ctypes, n)\n if r < 0:\n fatal_error_func()\n assert 0 # unreachable\n if r > 0:\n raise numpy.linalg.LinAlgError(\n \"Matrix is not positive definite.\")\n # Zero out upper triangle, in F order\n for col in range(n):\n out[:col, col] = 0\n return out\n\n return cho_impl", "metadata": "root.cho_impl", "header": "['module', '___EOS___']", "index": 717 } ]
[ { "span": "m,", "start_line": 258, "start_column": 8, "end_line": 258, "end_column": 9 }, { "span": "_n,", "start_line": 273, "start_column": 8, "end_line": 273, "end_column": 10 }, { "span": "dtype ", "start_line": 349, "start_column": 4, "end_line": 349, "end_column": 9 }, { "span": "out_shapes ", "start_line": 356, "start_column": 4, "end_line": 356, "end_column": 14 }, { "span": "LO ", "start_line": 729, "start_column": 8, "end_line": 729, "end_column": 10 } ]
[]
1
true
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Except block handles 'BaseException'
kuri65536/python-for-android/python-modules/twisted/twisted/conch/client/default.py
[ { "content": "def isInKnownHosts(host, pubKey, options):\n \"\"\"checks to see if host is in the known_hosts file for the user.\n returns 0 if it isn't, 1 if it is and is the same, 2 if it's changed.\n \"\"\"\n keyType = common.getNS(pubKey)[0]\n retVal = 0\n\n if not options['known-hosts'] and not os.path.exists(os.path.expanduser('~/.ssh/')):\n print 'Creating ~/.ssh directory...'\n os.mkdir(os.path.expanduser('~/.ssh'))\n kh_file = options['known-hosts'] or '~/.ssh/known_hosts'\n try:\n known_hosts = open(os.path.expanduser(kh_file))\n except IOError:\n return 0\n for line in known_hosts.xreadlines():\n split = line.split()\n if len(split) < 3:\n continue\n hosts, hostKeyType, encodedKey = split[:3]\n if host not in hosts.split(','): # incorrect host\n continue\n if hostKeyType != keyType: # incorrect type of key\n continue\n try:\n decodedKey = base64.decodestring(encodedKey)\n except:\n continue\n if decodedKey == pubKey:\n return 1\n else:\n retVal = 2\n return retVal", "metadata": "root.isInKnownHosts", "header": "['module', '___EOS___']", "index": 80 } ]
[ { "span": "except:", "start_line": 106, "start_column": 8, "end_line": 106, "end_column": 15 } ]
[]
1
true
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`__eq__` not overridden when adding attributes
CenterForOpenScience/osf.io/website/institutions/model.py
[ { "content": "class AffiliatedInstitutionsList(list):\n '''\n A list to implement append and remove methods to a private node list through a\n public Institution-returning property. Initialization should occur with the instance of the public list,\n the object the list belongs to, and the private attribute ( a list) the public property\n is attached to, and as the return value of the property.\n Ex:\n class Node():\n _affiliated_institutions = []\n\n @property\n affiliated_institutions(self):\n return AffiliatedInstitutionsList(\n [Institution(node) for node in self._affiliated_institutions],\n obj=self, private_target='_affiliated_institutions')\n )\n '''\n\n", "metadata": "root.AffiliatedInstitutionsList", "header": "['module', '___EOS___']", "index": 8 }, { "content": " def __init__(self, init, obj, private_target):\n super(AffiliatedInstitutionsList, self).__init__(init or [])\n self.obj = obj\n self.target = private_target", "metadata": "root.AffiliatedInstitutionsList.__init__", "header": "['class', 'AffiliatedInstitutionsList', '(', 'list', ')', ':', '___EOS___']", "index": 25 }, { "content": " def append(self, to_append):\n temp_list = getattr(self.obj, self.target)\n temp_list.append(to_append.node)\n setattr(self.obj, self.target, temp_list)", "metadata": "root.AffiliatedInstitutionsList.append", "header": "['class', 'AffiliatedInstitutionsList', '(', 'list', ')', ':', '___EOS___']", "index": 30 }, { "content": " def remove(self, to_remove):\n temp_list = getattr(self.obj, self.target)\n temp_list.remove(to_remove.node)\n setattr(self.obj, self.target, temp_list)", "metadata": "root.AffiliatedInstitutionsList.remove", "header": "['class', 'AffiliatedInstitutionsList', '(', 'list', ')', ':', '___EOS___']", "index": 35 } ]
[ { "span": "class AffiliatedInstitutionsList(list):", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 39 } ]
[ { "span": "self.obj ", "start_line": 27, "start_column": 8, "end_line": 27, "end_column": 16 }, { "span": "self.target ", "start_line": 28, "start_column": 8, "end_line": 28, "end_column": 19 } ]
1
false
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Imprecise assert
viewfinderco/viewfinder/backend/www/test/versioning_test.py
[ { "content": " def testInlineInvalidationsMigration(self):\n \"\"\"Ensure that the INLINE_INVALIDATIONS migration works correctly.\"\"\"\n episode_id = Episode.ConstructEpisodeId(1, self._device_ids[0], 1)\n photo_id = Photo.ConstructPhotoId(1, self._device_ids[0], 1)\n request = {'activity': self._tester.CreateActivityDict(self._cookie),\n 'episode': {'episode_id': episode_id,\n 'timestamp': 1},\n 'photos': [self._CreatePhotoDict(self._cookie, photo_id=photo_id)]}\n self._SendRequest('upload_episode', self._cookie, request,\n version=Message.EXTRACT_MD5_HASHES)\n\n request = {'episodes': [{'episode_id': episode_id,\n 'photo_ids': [photo_id]}]}\n self._SendRequest('remove_photos', self._cookie, request,\n version=Message.EXTRACT_MD5_HASHES)\n\n request = {'activity': self._tester.CreateActivityDict(self._cookie),\n 'viewpoint_id': self._user.private_vp_id,\n 'viewed_seq': 2}\n self._SendRequest('update_viewpoint', self._cookie, request,\n version=Message.EXTRACT_MD5_HASHES)\n\n response = self._SendRequest('query_notifications', self._cookie, {},\n version=Message.EXTRACT_MD5_HASHES)\n\n # upload_episode notification.\n notify_dict = response['notifications'][1]\n self.assertFalse('inline' in notify_dict)\n self.assertTrue('activity' in notify_dict)\n self.assertEqual(notify_dict['activity']['update_seq'], 1)\n\n # remove_photos notification.\n notify_dict = response['notifications'][2]\n self.assertFalse('inline' in notify_dict)\n self.assertFalse('activity' in notify_dict)\n\n # update_viewpoint notification.\n notify_dict = response['notifications'][3]\n self.assertFalse('inline' in notify_dict)\n self.assertFalse('activity' in notify_dict)", "metadata": "root.VersioningTestCase.testInlineInvalidationsMigration", "header": "['class', 'VersioningTestCase', '(', 'service_base_test', '.', 'ServiceBaseTestCase', ')', ':', '___EOS___']", "index": 38 }, { "content": " def testSupportMultipleIdentitiesPerContact(self):\n \"\"\"Ensure that the SUPPORT_MULTIPLE_IDENTITIES_PER_CONTACT migration works correctly.\"\"\"\n identity_key = 'Email:' + self._user2.email\n\n # Create an identity to exercise the 'contact_user_id' field of the down-level response.\n self._UpdateOrAllocateDBObject(Identity, key=identity_key, user_id=21)\n\n # This contact is for a registered user.\n contact_dict = Contact.CreateContactDict(user_id=self._user.user_id,\n identities_properties=[(identity_key, 'work'),\n ('Email:' + self._user3.email, 'home'),\n ('Phone:+13191234567', 'mobile')],\n timestamp=1,\n contact_source=Contact.GMAIL,\n name='Mike Purtell',\n given_name='Mike',\n family_name='Purtell',\n rank=3)\n self._UpdateOrAllocateDBObject(Contact, **contact_dict)\n\n # This contact has been removed and shouldn't show up in down-level client queries.\n contact_dict = Contact.CreateContactDict(user_id=self._user.user_id,\n identities_properties=None,\n timestamp=1,\n contact_source=Contact.GMAIL,\n contact_id='gm:onetwothree',\n sort_key=Contact.CreateSortKey('gm:onetwothree', 1),\n labels=[Contact.REMOVED])\n self._UpdateOrAllocateDBObject(Contact, **contact_dict)\n\n # This contact has unknown identities.\n contact_dict = Contact.CreateContactDict(user_id=self._user.user_id,\n identities_properties=[('Email:[email protected]', 'work'),\n ('Email:[email protected]', 'home'),\n ('Phone:+13191234567', 'mobile')],\n timestamp=1,\n contact_source=Contact.GMAIL,\n name='Some One',\n given_name='Some',\n family_name='Body',\n rank=5)\n self._UpdateOrAllocateDBObject(Contact, **contact_dict)\n\n # This contact has just a phone number and shouldn't show up in down-level client queries.\n contact_dict = Contact.CreateContactDict(user_id=self._user.user_id,\n identities_properties=[('Phone:+13191234567', 'mobile')],\n timestamp=1,\n contact_source=Contact.GMAIL,\n name='Some One with just a phone',\n given_name='Some',\n family_name='Body',\n rank=42)\n self._UpdateOrAllocateDBObject(Contact, **contact_dict)\n\n # This contact has no identities and shouldn't show up in down-level client queries.\n contact_dict = Contact.CreateContactDict(user_id=self._user.user_id,\n identities_properties=[],\n timestamp=1,\n contact_source=Contact.GMAIL,\n name='Some One with just a phone',\n given_name='Some',\n family_name='Body',\n rank=42)\n self._UpdateOrAllocateDBObject(Contact, **contact_dict)\n\n response = self._SendRequest('query_contacts', self._cookie, {}, version=Message.SUPPRESS_BLANK_COVER_PHOTO)\n\n # Verify response is what we expect for down-level client.\n self.assertEqual(response['headers'], {'version': Message.SUPPRESS_BLANK_COVER_PHOTO})\n self.assertEqual(response['num_contacts'], 2)\n response_contact = response['contacts'][1]\n self.assertEqual(response_contact['name'], 'Mike Purtell')\n self.assertEqual(response_contact['given_name'], 'Mike')\n self.assertEqual(response_contact['family_name'], 'Purtell')\n self.assertEqual(response_contact['rank'], 3)\n self.assertEqual(response_contact['contact_user_id'], 21)\n self.assertEqual(response_contact['identity'], identity_key)\n self.assertFalse('identities' in response_contact)\n self.assertFalse('contact_id' in response_contact)\n self.assertFalse('contact_source' in response_contact)\n self.assertFalse('labels' in response_contact)\n\n response_contact = response['contacts'][0]\n self.assertEqual(response_contact['name'], 'Some One')\n self.assertEqual(response_contact['given_name'], 'Some')\n self.assertEqual(response_contact['family_name'], 'Body')\n self.assertEqual(response_contact['rank'], 5)\n self.assertEqual(response_contact['identity'], 'Email:[email protected]')\n self.assertFalse('contact_user_id' in response_contact)\n self.assertFalse('identities' in response_contact)\n self.assertFalse('contact_id' in response_contact)\n self.assertFalse('contact_source' in response_contact)\n self.assertFalse('labels' in response_contact)", "metadata": "root.VersioningTestCase.testSupportMultipleIdentitiesPerContact", "header": "['class', 'VersioningTestCase', '(', 'service_base_test', '.', 'ServiceBaseTestCase', ')', ':', '___EOS___']", "index": 229 } ]
[ { "span": "self.assertFalse('inline' in notify_dict)", "start_line": 65, "start_column": 4, "end_line": 65, "end_column": 45 }, { "span": "self.assertTrue('activity' in notify_dict)", "start_line": 66, "start_column": 4, "end_line": 66, "end_column": 46 }, { "span": "self.assertFalse('inline' in notify_dict)", "start_line": 71, "start_column": 4, "end_line": 71, "end_column": 45 }, { "span": "self.assertFalse('activity' in notify_dict)", "start_line": 72, "start_column": 4, "end_line": 72, "end_column": 47 }, { "span": "self.assertFalse('inline' in notify_dict)", "start_line": 76, "start_column": 4, "end_line": 76, "end_column": 45 }, { "span": "self.assertFalse('activity' in notify_dict)", "start_line": 77, "start_column": 4, "end_line": 77, "end_column": 47 }, { "span": "self.assertFalse('identities' in response_contact)", "start_line": 306, "start_column": 4, "end_line": 306, "end_column": 54 }, { "span": "self.assertFalse('contact_id' in response_contact)", "start_line": 307, "start_column": 4, "end_line": 307, "end_column": 54 }, { "span": "self.assertFalse('contact_source' in response_contact)", "start_line": 308, "start_column": 4, "end_line": 308, "end_column": 58 }, { "span": "self.assertFalse('labels' in response_contact)", "start_line": 309, "start_column": 4, "end_line": 309, "end_column": 50 }, { "span": "self.assertFalse('contact_user_id' in response_contact)", "start_line": 317, "start_column": 4, "end_line": 317, "end_column": 59 }, { "span": "self.assertFalse('identities' in response_contact)", "start_line": 318, "start_column": 4, "end_line": 318, "end_column": 54 }, { "span": "self.assertFalse('contact_id' in response_contact)", "start_line": 319, "start_column": 4, "end_line": 319, "end_column": 54 }, { "span": "self.assertFalse('contact_source' in response_contact)", "start_line": 320, "start_column": 4, "end_line": 320, "end_column": 58 }, { "span": "self.assertFalse('labels' in response_contact)", "start_line": 321, "start_column": 4, "end_line": 321, "end_column": 50 } ]
[]
1
true
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Use of the return value of a procedure
an0/Letterpress/code/markdown2/tools/tables-align-columns.py
[ { "content": "#!/usr/bin/env python\n\n\"\"\"\nConvert [tables](https://github.com/trentm/python-markdown2/wiki/tables)\na given Markdown document such that columns are aligned.\n\nLimitations:\n- Can't handle tables where cells have a pipe.\n\"\"\"\n\nfrom __future__ import print_function\n\n__version__ = \"1.0.0\"\n\nimport codecs\nimport os\nfrom pprint import pprint, pformat\nimport re\nimport sys\nfrom collections import defaultdict\n\np = print\n\n\n\n#---- internal support stuff\n\n\n\n\n\n#---- mainline\n\n\nif __name__ == \"__main__\":\n sys.exit( main(sys.argv) )\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def main(argv):\n for path in argv[1:]:\n text = tables_align_columns(path)\n sys.stdout.write(text.encode(\n sys.stdout.encoding or \"utf-8\", 'xmlcharrefreplace'))", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 136 } ]
[ { "span": "main(sys.argv) ", "start_line": 143, "start_column": 14, "end_line": 143, "end_column": 28 } ]
[ { "span": "def main(argv):", "start_line": 136, "start_column": 0, "end_line": 136, "end_column": 15 } ]
1
false
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Unused import
QuantSoftware/QuantSoftwareToolkit/QSTK/qstkfeat/features.py
[ { "content": "'''\n(c) 2011, 2012 Georgia Tech Research Corporation\nThis source code is released under the New BSD license. Please see\nhttp://wiki.quantsoftware.org/index.php?title=QSTK_License\nfor license details.\nCreated on Nov 7, 2011\n\n@author: John Cornwell\n@contact: [email protected]\n@summary: File containing various feature functions\n\n'''\n\n#''' Python imports '''\nimport random\n\n#''' 3rd Party Imports '''\nimport pandas as pand\nimport numpy as np\nimport datetime as dt\n\n#''' QSTK Imports '''\nimport QSTK.qstkutil.tsutil as tsu\nfrom QSTK.qstkutil import DataAccess as da\nimport QSTK.qstkutil.qsdateutil as du\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nif __name__ == '__main__':\n pass\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def featMomentum(dData, lLookback=20, b_human=False ):\n '''\n @summary: N day cumulative return (based on 1) indicator\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n dfPrice = dData['close'].copy()\n \n #Calculate Returns\n tsu.returnize0(dfPrice.values)\n \n #Calculate rolling sum\n dfRet = pand.rolling_sum(dfPrice, lLookback)\n \n \n return dfRet", "metadata": "root.featMomentum", "header": "['module', '___EOS___']", "index": 26 }, { "content": "def featHiLow(dData, lLookback=20, b_human=False ):\n '''\n @summary: 1 represents a high for the lookback -1 represents a low\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n dfPrice = dData['close']\n \n #Find Max for each price for lookback\n maxes = pand.rolling_max(dfPrice, lLookback, 1)\n \n #Find Min\n mins = pand.rolling_min(dfPrice, lLookback, 1)\n \n #Find Range\n ranges = maxes - mins\n \n #Calculate (price - min) * 2 / range -1\n dfRet = (((dfPrice-mins)*2)/ranges)-1\n \n return dfRet", "metadata": "root.featHiLow", "header": "['module', '___EOS___']", "index": 50 }, { "content": "def featDate(dData, b_human=False ):\n '''\n @summary: Returns -1 for jan 1st 1 for dec 31st\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n \n dfPrice = dData['close']\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) )\n \n for sStock in dfPrice.columns:\n tsPrice = dfPrice[sStock]\n tsRet = dfRet[sStock]\n #'' Loop over time '''\n for i in range(len(tsPrice.index)):\n #get current date\n today = tsPrice.index[i]\n \n #get days since January 1st\n days = today - dt.datetime(today.year, 1, 1)\n \n # multiply by 2, divide by 365, subtract 1\n tsRet[i] = float(days.days * 2) / 365 - 1\n \n return dfRet", "metadata": "root.featDate", "header": "['module', '___EOS___']", "index": 79 }, { "content": "def featOption(dData, b_human=False ):\n '''\n @summary: Returns 1 if option close is today, -1 if it was yesterday\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n dfPrice = dData['close']\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) )\n \n for sStock in dfPrice.columns:\n tsPrice = dfPrice[sStock]\n tsRet = dfRet[sStock]\n #'' Loop over time '''\n for i in range(len(tsPrice.index)):\n #get current date\n today = tsPrice.index[i]\n \n #get last option close\n last_close = du.getLastOptionClose(today, tsPrice.index)\n \n #get next option close\n next_close = du.getNextOptionClose(today, tsPrice.index)\n \n #get days between\n days_between = next_close - last_close\n \n #get days since last close\n days = today - last_close\n \n # multiply by 2, divide by 365, subtract 1\n tsRet[i] = float(days.days * 2) / days_between.days - 1\n \n return dfRet", "metadata": "root.featOption", "header": "['module', '___EOS___']", "index": 113 }, { "content": "def featMA( dData, lLookback=30, bRel=True, b_human=False ):\n '''\n @summary: Calculate moving average\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n \n dfPrice = dData['close']\n \n dfRet = pand.rolling_mean(dfPrice, lLookback)\n \n if bRel:\n dfRet = dfRet / dfPrice\n if b_human: \n data2 = dfRet * dData['close']\n data3 = pand.DataFrame({\"Raw\":data2[data2.columns[0]]})\n for sym in dfRet.columns:\n if sym != '$SPX' and sym != '$VIX':\n data3[sym + \" Moving Average\"] = data2[sym]\n data3[sym] = dData['close'][sym]\n del data3['Raw']\n return data3\n return dfRet", "metadata": "root.featMA", "header": "['module', '___EOS___']", "index": 154 }, { "content": "def featEMA( dData, lLookback=20, bRel=True, b_human=False ):\n '''\n @summary: Calculate exponential moving average\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n \n dfPrice = dData['close']\n \n dfRet = pand.ewma(dfPrice, span=lLookback)\n \n if bRel:\n dfRet = dfRet / dfPrice;\n if b_human: \n data2 = dfRet*dData['close']\n data3 = pand.DataFrame({\"Raw\":data2[data2.columns[0]]})\n for sym in dfRet.columns:\n if sym != '$SPX' and sym != '$VIX':\n data3[sym + \" Moving Average\"] = data2[sym]\n data3[sym] = dData['close'][sym]\n del data3['Raw']\n return data3 \n return dfRet", "metadata": "root.featEMA", "header": "['module', '___EOS___']", "index": 181 }, { "content": "def featSTD( dData, lLookback=20, bRel=True, b_human=False ):\n '''\n @summary: Calculate standard deviation\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n \n dfPrice = dData['close'].copy()\n \n tsu.returnize1(dfPrice.values)\n dfRet = pand.rolling_std(dfPrice, lLookback)\n \n if bRel:\n dfRet = dfRet / dfPrice\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featSTD", "header": "['module', '___EOS___']", "index": 207 }, { "content": "def featRSI( dData, lLookback=14, b_human=False):\n '''\n @summary: Calculate RSI\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to look in the past, 14 is standard\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n\n # create deltas per day\n dfDelta = dData['close'].copy()\n dfDelta.ix[1:,:] -= dfDelta.ix[:-1,:].values\n dfDelta.ix[0,:] = np.NAN\n\n dfDeltaUp = dfDelta\n dfDeltaDown = dfDelta.copy()\n \n # seperate data into positive and negative for easy calculations\n for sColumn in dfDeltaUp.columns:\n tsColDown = dfDeltaDown[sColumn]\n tsColDown[tsColDown >= 0] = 0 \n \n tsColUp = dfDeltaUp[sColumn]\n tsColUp[tsColUp <= 0] = 0\n \n # Note we take abs() of negative values, all should be positive now\n dfRolUp = pand.rolling_mean(dfDeltaUp, lLookback, min_periods=1)\n dfRolDown = pand.rolling_mean(dfDeltaDown, lLookback, min_periods=1).abs()\n \n # relative strength\n dfRS = dfRolUp / dfRolDown\n dfRSI = 100.0 - (100.0 / (1.0 + dfRS))\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n \n return dfRSI", "metadata": "root.featRSI", "header": "['module', '___EOS___']", "index": 230 }, { "content": "def featDrawDown( dData, lLookback=30, b_human=False):\n '''\n @summary: Calculate Drawdown for the stock\n @param dData: Dictionary of data to use\n @param lLookback: Days to look back\n @return: DataFrame array containing values\n @param b_human: if true return dataframe to plot\n @warning: Drawdown and RunUp can depend heavily on sample period\n '''\n \n dfPrice = dData['close']\n \n #''' Feature DataFrame will be 1:1, we can use the price as a template '''\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) )\n \n dfMax = pand.rolling_max(dfPrice, lLookback)\n return (dfMax - dfPrice) / dfMax;\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featDrawDown", "header": "['module', '___EOS___']", "index": 272 }, { "content": "def featRunUp( dData, lLookback=30, b_human=False ):\n '''\n @summary: CalculateRunup for the stock\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to calculate min over \n @return: DataFrame array containing feature values\n @param b_human: if true return dataframe to plot\n @warning: Drawdown and RunUp can depend heavily on when the sample starts\n '''\n \n dfPrice = dData['close']\n \n dfMax = pand.rolling_min(dfPrice, lLookback)\n return dfPrice / dfMax;\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featRunUp", "header": "['module', '___EOS___']", "index": 297 }, { "content": "def featVolumeDelta( dData, lLookback=30, b_human=False ):\n '''\n @summary: Calculate moving average\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to use for MA\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n \n dfVolume = dData['volume']\n \n dfRet = pand.rolling_mean(dfVolume, lLookback)\n dfRet /= dfVolume\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close'] \n return dfRet", "metadata": "root.featVolumeDelta", "header": "['module', '___EOS___']", "index": 320 }, { "content": "def featAroon( dData, bDown=False, lLookback=25, b_human=False ):\n '''\n @summary: Calculate Aroon - indicator indicating days since a 25-day \n high/low, weighted between 0 and 100\n @param dData: Dictionary of data to use\n @param bDown: If false, calculates aroonUp (high), else aroonDown (lows)\n @param lLookback: Days to lookback to calculate high/low from\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing feature values\n '''\n \n dfPrice = dData['close']\n\n #Feature DataFrame will be 1:1, we can use the price as a template\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, \n data=np.zeros(dfPrice.shape) )\n \n #Loop through time\n for i in range(dfPrice.shape[0]):\n if( (i-lLookback) < 0 ):\n dfRet.ix[i,:] = np.NAN\n else:\n if bDown:\n dfRet.ix[i,:] = dfPrice.values[i:(i-lLookback):-1,:].argmin(\n axis=0)\n else:\n dfRet.ix[i,:] = dfPrice.values[i:(i-lLookback):-1,:].argmax(\n axis=0)\n \n dfRet = ((lLookback - 1.) - dfRet) / (lLookback - 1.) * 100.\n\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featAroon", "header": "['module', '___EOS___']", "index": 341 }, { "content": "def featAroonDown( dData, lLookback=25, b_human=False ):\n '''\n @summary: Wrapper to call aroon with flag = true\n '''\n return featAroon(dData, bDown=True, lLookback=lLookback, b_human=b_human)", "metadata": "root.featAroonDown", "header": "['module', '___EOS___']", "index": 380 }, { "content": "def featStochastic( dData, lLookback=14, bFast=True, lMA=3, b_human=False ):\n '''\n @summary: Calculate stochastic oscillator - indicates what range of recent low-high spread we are in.\n @param dData: Dictionary of data to use\n @param bFast: If false, do slow stochastics, 3 day MA, if not use fast, no MA\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing feature values\n '''\n\n dfLow = dData['low']\n dfHigh = dData['high']\n dfPrice = dData['close']\n\n \n #''' Loop through stocks '''\n dfLows = pand.rolling_min(dfLow, lLookback)\n dfHighs = pand.rolling_max(dfHigh, lLookback)\n \n dfStoch = (dfPrice - dfLows) / (dfHighs - dfLows)\n \n #''' For fast we just take the stochastic value, slow we need 3 day MA '''\n if not bFast:\n dfStoch = pand.rolling_mean(dfStoch, lMA)\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n \n return dfStoch", "metadata": "root.featStochastic", "header": "['module', '___EOS___']", "index": 387 }, { "content": "def featBeta( dData, lLookback=14, sMarket='$SPX', b_human=False ):\n '''\n @summary: Calculate beta relative to a given stock/index.\n @param dData: Dictionary of data to use\n @param sStock: Stock to calculate beta relative to\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing feature values\n '''\n\n dfPrice = dData['close']\n\n #''' Calculate returns '''\n dfRets = dfPrice.copy()\n tsu.returnize1(dfRets.values)\n\n tsMarket = dfRets[sMarket]\n\n dfRet = pand.rolling_cov(tsMarket, dfRets, lLookback)\n dfRet /= dfRet[sMarket]\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featBeta", "header": "['module', '___EOS___']", "index": 419 }, { "content": "def featBollinger( dData, lLookback=20, b_human=False ):\n '''\n @summary: Calculate bollinger position as a function of std deviations.\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to calculate moving average over\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing feature values\n '''\n if b_human:\n dfPrice = dData['close']\n nstdsRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) )\n #average minus standard deviation\n pstdsRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) ) \n data3 = pand.DataFrame({\"Raw\":dfPrice[dfPrice.columns[0]]})\n for sym in dfPrice.columns:\n if sym != '$SPX' and sym != '$VIX':\n tsPrice = dfPrice[sym]\n nstdRet = nstdsRet[sym]\n pstdRet = pstdsRet[sym]\n for i in range(len(tsPrice.index)):\n if i < lLookback - 1:\n nstdRet[i] = float('nan')\n pstdRet[i] = float('nan')\n continue \n fAvg = np.average( tsPrice[ i-(lLookback-1):i+1 ] )\n fStd = np.std( tsPrice[ i-(lLookback-1):i+1 ] )\n pstdRet[i] = fAvg+2.0*fStd\n nstdRet[i] = fAvg-2.0*fStd \n data3[sym] = dfPrice[sym]\n data3[sym + \" Lower\"] = nstdsRet[sym]\n data3[sym + \" Upper\"] = pstdsRet[sym]\n del data3['Raw']\n return data3\n else:\n dfPrice = dData['close']\n #''' Feature DataFrame will be 1:1, we can use the price as a template '''\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) )\n \n #''' Loop through stocks '''\n dfAvg = pand.rolling_mean(dfPrice, lLookback)\n dfStd = pand.rolling_std(dfPrice, lLookback)\n return (dfPrice - dfAvg) / (2.0*dfStd)", "metadata": "root.featBollinger", "header": "['module', '___EOS___']", "index": 446 }, { "content": "def featCorrelation( dData, lLookback=20, sRel='$SPX', b_human=False ):\n '''\n @summary: Calculate correlation of two stocks.\n @param dData: Dictionary of data to use\n @param lLookback: Number of days to calculate moving average over\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing feature values\n '''\n\n dfPrice = dData['close']\n \n if sRel not in dfPrice.columns:\n raise KeyError( \"%s not found in data provided to featCorrelation\"%sRel )\n \n #''' Calculate returns '''\n naRets = dfPrice.values.copy()\n tsu.returnize1(naRets)\n dfHistReturns = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=naRets )\n\n #''' Feature DataFrame will be 1:1, we can use the price as a template '''\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, data=np.zeros(dfPrice.shape) )\n \n #''' Loop through stocks '''\n for sStock in dfHistReturns.columns: \n tsHistReturns = dfHistReturns[sStock]\n tsRelativeReturns = dfHistReturns[sRel]\n tsRet = dfRet[sStock]\n \n #''' Loop over time '''\n for i in range(len(tsHistReturns.index)):\n \n #''' NaN if not enough data to do lookback '''\n if i < lLookback - 1:\n tsRet[i] = float('nan')\n continue \n \n naCorr = np.corrcoef( tsHistReturns[ i-(lLookback-1):i+1 ], tsRelativeReturns[ i-(lLookback-1):i+1 ] )\n \n tsRet[i] = naCorr[0,1]\n\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featCorrelation", "header": "['module', '___EOS___']", "index": 490 }, { "content": "def featPrice(dData, b_human=False):\n '''\n @summary: Price feature\n @param dData: Dictionary of data to use\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dData['close']", "metadata": "root.featPrice", "header": "['module', '___EOS___']", "index": 537 }, { "content": "def featVolume(dData, b_human=False):\n '''\n @summary: Volume feature\n @param dData: Dictionary of data to use\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dData['volume']", "metadata": "root.featVolume", "header": "['module', '___EOS___']", "index": 552 }, { "content": "def featRand( dData, b_human=False ):\n '''\n @summary: Random feature - used for robustness testing\n @param dData: Dictionary of data to use\n @param b_human: if true return dataframe to plot\n @return: DataFrame array containing values\n '''\n \n dfPrice = dData['close']\n \n #''' Feature DataFrame will be 1:1, we can use the price as a template '''\n dfRet = pand.DataFrame( index=dfPrice.index, columns=dfPrice.columns, \n data=np.random.randn(*dfPrice.shape) )\n \n if b_human:\n for sym in dData['close']:\n x=1000/dData['close'][sym][0]\n dData['close'][sym]=dData['close'][sym]*x\n return dData['close']\n return dfRet", "metadata": "root.featRand", "header": "['module', '___EOS___']", "index": 567 } ]
[ { "span": "import random", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 13 }, { "span": "from QSTK.qstkutil import DataAccess as da", "start_line": 23, "start_column": 0, "end_line": 23, "end_column": 42 } ]
[]
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Unused local variable
ipython/ipython-py3k/IPython/deathrow/oldfrontend/prefilterfrontend.py
[ { "content": " def __init__(self, ipython0=None, *args, **kwargs):\n \"\"\" Parameters\n ----------\n\n ipython0: an optional ipython0 instance to use for command\n prefiltering and completion.\n \"\"\"\n LineFrontEndBase.__init__(self, *args, **kwargs)\n self.shell.output_trap = RedirectorOutputTrap(\n out_callback=self.write,\n err_callback=self.write,\n )\n self.shell.traceback_trap = SyncTracebackTrap(\n formatters=self.shell.traceback_trap.formatters,\n )\n\n # Start the ipython0 instance:\n self.save_output_hooks()\n if ipython0 is None:\n # Instanciate an IPython0 InteractiveShell to be able to use the\n # prefiltering.\n # Suppress all key input, to avoid waiting\n def my_rawinput(x=None):\n return '\\n'\n old_rawinput = builtins.raw_input\n builtins.raw_input = my_rawinput\n ipython0 = InteractiveShell(\n parent=None, user_ns=self.shell.user_ns,\n user_global_ns=self.shell.user_global_ns\n )\n builtins.raw_input = old_rawinput\n self.ipython0 = ipython0\n # Set the pager:\n self.ipython0.set_hook('show_in_pager', \n lambda s, string: self.write(\"\\n\" + string))\n self.ipython0.write = self.write\n self._ip = _ip = self.ipython0\n # Make sure the raw system call doesn't get called, as we don't\n # have a stdin accessible.\n self._ip.system = self.system_call\n # XXX: Muck around with magics so that they work better\n # in our environment\n if not sys.platform.startswith('win'):\n self.ipython0.magic_ls = mk_system_call(self.system_call, \n 'ls -CF')\n # And now clean up the mess created by ipython0\n self.release_output()\n\n\n if not 'banner' in kwargs and self.banner is None:\n self.banner = self.ipython0.banner\n\n # FIXME: __init__ and start should be two different steps\n self.start()", "metadata": "root.PrefilterFrontEnd.__init__", "header": "['class', 'PrefilterFrontEnd', '(', 'LineFrontEndBase', ')', ':', '___EOS___']", "index": 68 } ]
[ { "span": "_ip ", "start_line": 104, "start_column": 19, "end_line": 104, "end_column": 22 } ]
[]
1
true
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Except block handles 'BaseException'
MediaMath/qasino/lib/sqlite_backend.py
[ { "content": " def preload_tables_list(self, txn):\n \"\"\" \n This is used upon initial open of the db to get an actual list\n of tables from the db.\n \"\"\"\n\n self.do_sql(txn, \"SELECT tbl_name FROM sqlite_master WHERE type = 'table' and tbl_name NOT LIKE 'sqlite_%'\")\n\n rows = txn.fetchall()\n\n for row in rows:\n\n tablename = row[0]\n\n try:\n self.do_sql(txn, \"SELECT count(*) FROM %s;\" % tablename)\n\n count = txn.fetchall()\n\n self.update_table_stats(tablename, count[0][0] if count[0][0] != None and count[0][0] > 0 else -1)\n except:\n logging.info(\"SqlConnections: Failed to get number of rows for table '%s': %s\", tablename, str(e))\n pass", "metadata": "root.SqlConnections.preload_tables_list", "header": "['class', 'SqlConnections', '(', 'object', ')', ':', '___EOS___']", "index": 435 }, { "content": " def add_table_data(self, txn, table, identity):\n \"\"\" \n Add a table to the backend if it doesn't exist and insert the data.\n This is executed using adbapi in a thread pool.\n \"\"\"\n\n start_time = time.time()\n\n # For when we hit lock contention - only retry so many times.\n\n table.init_retry(5)\n\n tablename = table.get_tablename()\n\n if tablename is None:\n logging.info(\"SqlConnections: Unknown tablename from '%s'\", identity)\n return\n\n update = table.get_property('update')\n static = table.get_property('static')\n persist = table.get_property('persist')\n\n # Check if we need to save the table in case of persistence.\n\n self.data_manager.check_save_table(table, identity)\n\n # Now check if we've already added the table.\n\n try:\n if not update and not static and self.connections[identity][\"tables\"][tablename] > 0:\n logging.info(\"SqlConnections: '%s' has already sent an update or is persisted for table '%s'\", identity, tablename)\n return\n except KeyError:\n # Ignore\n pass\n\n try:\n # Wrap the create, alter tables and inserts or updates in\n # a transaction... All or none please.\n\n txn.execute(\"BEGIN;\")\n\n # Use this to detect if the table already exists - we\n # could just not do this and use the create table to\n # detect if a table is already there or not but a error on\n # the create table would mean having to restart the\n # transaction and require some weird retry logic..\n\n create_sql = \"CREATE TABLE IF NOT EXISTS '%s' ( \\n\" % tablename\n\n columns = []\n \n for column_name, column_type in table.zip_columns():\n columns.append( \"'%s' %s DEFAULT NULL\" % (column_name, column_type) )\n\n create_sql += \",\\n\".join( columns )\n\n create_sql += \")\"\n\n try:\n result = self.do_sql(txn, create_sql)\n except Exception as e:\n errorstr = str(e)\n\n # Is this a \"table already exists\" error? Then its a race condition between checking if a table exists and actually creating it.\n # This should never happen now - we are using CREATE IF NOT EXISTS ...\n if \"already exists\" in errorstr:\n # Don't need to log this as it is fairly common.\n ##logging.info(\"SqlConnections: Warning: Create table race condition '%s' for %s: '%s' ... retrying\", tablename, identity, errorstr)\n raise CreateTableException(\"Create table race condition '%s' for %s: '%s'\" % (tablename, identity, errorstr,))\n \n else:\n # Otherwise some kind of sql error, pass the exception up\n raise e\n\n\n # Merge the schemas of what might be already there and our update.\n schema = self.get_schema(txn, tablename)\n\n self.data_manager.table_merger.merge_table(txn, table, schema, self)\n\n # Now update the table.\n # Truncate and re-insert if this is static.\n # Call do_update if this is an update type.\n # Otherwise we insert.\n\n if static:\n txn.execute(\"DELETE FROM '%s';\" % tablename)\n rowcount = self.do_insert_table(txn, table)\n\n else:\n if update:\n rowcount = self.do_update_table(txn, table, identity)\n else:\n rowcount = self.do_insert_table(txn, table)\n\n txn.execute(\"COMMIT;\")\n\n except apsw.BusyError as e:\n # This should only happen if we exceed the busy timeout.\n logging.info(\"SqlConnections: Warning: Lock contention for adding table '%s': %s for %s\", tablename, str(e), identity)\n\n try:\n txn.execute(\"ROLLBACK;\")\n except:\n pass\n\n # Should we try again?\n if table.test_retry():\n logging.info(\"SqlConnections: ERROR: Retries failed for table '%s'\", tablename)\n return 0\n\n # Place this request back on the event queue for a retry.\n self.async_add_table_data(table, identity)\n\n return 0\n\n except CreateTableException as e:\n # Message when raised\n\n try:\n txn.execute(\"ROLLBACK;\")\n except:\n pass\n\n # Should we try again?\n if table.test_retry():\n logging.info(\"SqlConnections: ERROR: Retries failed for table '%s'\", tablename)\n return 0\n\n # Place this request back on the event queue for a retry.\n self.async_add_table_data(table, identity)\n\n return 0\n\n except Exception as e:\n logging.info(\"SqlConnections: ERROR: Failed to add table '%s': %s\", tablename, e)\n\n try:\n txn.execute(\"ROLLBACK;\")\n except:\n pass\n\n return 0\n\n now = time.time()\n\n nr_rows = table.get_nr_rows()\n\n properties_str = ''\n if static: properties_str += ' static'\n if update: properties_str += ' update'\n if persist: properties_str += ' persist'\n\n logging.info(\"SqlConnections: New data%s for table '%s' %d rows from '%s' (%.02f seconds)\", \n properties_str, tablename, rowcount, identity, now - start_time)\n\n # Update some informational stats used for making the tables\n # and connections tables.\n\n self.update_table_stats(tablename, rowcount, identity=identity,\n sum=not update and not static, now=now)\n \n return 1", "metadata": "root.SqlConnections.add_table_data", "header": "['class', 'SqlConnections', '(', 'object', ')', ':', '___EOS___']", "index": 546 } ]
[ { "span": "except:", "start_line": 455, "start_column": 12, "end_line": 455, "end_column": 19 }, { "span": "except:", "start_line": 650, "start_column": 12, "end_line": 650, "end_column": 19 }, { "span": "except:", "start_line": 668, "start_column": 12, "end_line": 668, "end_column": 19 }, { "span": "except:", "start_line": 686, "start_column": 12, "end_line": 686, "end_column": 19 } ]
[]
1
true
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Except block handles 'BaseException'
geopython/pycsw/pycsw/core/util.py
[ { "content": "def xmltag_split(tag):\n \"\"\"Return XML element bare tag name (without prefix)\"\"\"\n try:\n return tag.split('}')[1]\n except:\n return tag", "metadata": "root.xmltag_split", "header": "['module', '___EOS___']", "index": 109 }, { "content": "def xmltag_split2(tag, namespaces, colon=False):\n \"\"\"Return XML namespace prefix of element\"\"\"\n try:\n nsuri = tag.split('}')[0].split('{')[1]\n nsprefix = [key for key, value in namespaces.items()\n if value == nsuri]\n value = nsprefix[0]\n if colon:\n return '%s:' % nsprefix[0]\n else:\n return nsprefix[0]\n except:\n return ''", "metadata": "root.xmltag_split2", "header": "['module', '___EOS___']", "index": 117 }, { "content": "def get_geometry_area(geometry):\n \"\"\"Derive area of a given geometry\"\"\"\n try:\n if geometry is not None:\n return str(loads(geometry).area)\n return '0'\n except:\n return '0'", "metadata": "root.get_geometry_area", "header": "['module', '___EOS___']", "index": 210 }, { "content": "def getqattr(obj, name):\n \"\"\"get value of an object, safely\"\"\"\n try:\n value = getattr(obj, name)\n if hasattr(value, '__call__'): # function generated value\n LOGGER.debug('attribute is a function')\n if name.find('link') != -1: # list of link tuple quadruplets\n LOGGER.debug('attribute is a link')\n return _linkify(value())\n return value()\n elif (isinstance(value, datetime.datetime)\n or isinstance(value, datetime.date)): # datetime object\n LOGGER.debug('attribute is a date')\n return datetime2iso8601(value)\n return value\n except:\n return None", "metadata": "root.getqattr", "header": "['module', '___EOS___']", "index": 330 } ]
[ { "span": "except:", "start_line": 113, "start_column": 4, "end_line": 113, "end_column": 11 }, { "span": "except:", "start_line": 128, "start_column": 4, "end_line": 128, "end_column": 11 }, { "span": "except:", "start_line": 216, "start_column": 4, "end_line": 216, "end_column": 11 }, { "span": "except:", "start_line": 345, "start_column": 4, "end_line": 345, "end_column": 11 } ]
[]
1
true
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Unused local variable
akehrer/Motome/Motome/Models/MotomeTextBrowser.py
[ { "content": " def process_insertseq(self, seq):\n cursor = self.textCursor()\n current_pos = cursor.position()\n\n link_title = 'Title'\n link_address = 'http://www.example.com'\n\n if not cursor.hasSelection():\n cursor.select(QtGui.QTextCursor.WordUnderCursor)\n text = cursor.selectedText()\n if text == '':\n text = 'example text'\n else:\n link_title = cursor.selectedText()\n\n if seq == 'ctrl_k':\n self._insert_hyperlink(title=link_title)\n elif seq == 'ctrl_shift_k':\n filepath, _ = QtGui.QFileDialog.getOpenFileName(self, \"Select File\", os.path.expanduser('~'))\n if filepath != '':\n self._insert_filelink(filepath)", "metadata": "root.MotomeTextBrowser.process_insertseq", "header": "['class', 'MotomeTextBrowser', '(', 'QtGui', '.', 'QTextBrowser', ')', ':', '___EOS___']", "index": 137 }, { "content": " def _insert_filelink(self, filepath):\n # create the media storage directory\n try:\n html_dir = os.path.join(self.notes_dir, MEDIA_FOLDER)\n os.makedirs(html_dir)\n except OSError:\n # already there\n pass\n except AttributeError:\n # notemodel is None\n return\n\n cursor = self.textCursor()\n current_pos = cursor.position()\n\n filename = safe_filename(os.path.basename(filepath))\n dst_path = os.path.join(self.notes_dir, MEDIA_FOLDER, filename)\n link_address = './{0}/{1}'.format(MEDIA_FOLDER, filename)\n\n if cursor.hasSelection():\n link_title = cursor.selectedText()\n else:\n link_title = filename\n\n try:\n is_image = 'image' in mimetypes.guess_type(filepath)[0]\n except TypeError:\n is_image = False\n\n if is_image:\n # user sent an image file\n try:\n shutil.copyfile(filepath, dst_path)\n except (IOError, shutil.Error):\n # file probably already there\n pass\n self.insertHtml('![{0}](<a href=\"{1}\">{1}</a>)'.format(link_title, link_address))\n else:\n try:\n shutil.copyfile(filepath, dst_path)\n except (IOError, shutil.Error):\n # file probably already there\n pass\n self.insertHtml('[{0}](<a href=\"{1}\">{1}</a>)'.format(link_title, link_address))", "metadata": "root.MotomeTextBrowser._insert_filelink", "header": "['class', 'MotomeTextBrowser', '(', 'QtGui', '.', 'QTextBrowser', ')', ':', '___EOS___']", "index": 320 } ]
[ { "span": "current_pos ", "start_line": 139, "start_column": 8, "end_line": 139, "end_column": 19 }, { "span": "link_address ", "start_line": 142, "start_column": 8, "end_line": 142, "end_column": 20 }, { "span": "text ", "start_line": 148, "start_column": 16, "end_line": 148, "end_column": 20 }, { "span": "current_pos ", "start_line": 333, "start_column": 8, "end_line": 333, "end_column": 19 } ]
[]
1
true
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Imprecise assert
django-bmf/django-bmf/djangobmf/utils/testcases.py
[ { "content": " def test_module_update(self):\n for model in self.models:\n ns = model._bmfmeta.namespace_api\n\n for obj in model.objects.all():\n url = reverse('%s:update' % ns, kwargs={\n 'pk': obj.pk,\n })\n response = self.client.get(url, HTTP_X_REQUESTED_WITH='XMLHttpRequest')\n self.assertTrue(response.status_code in [200, 403])", "metadata": "root.ModuleTestFactory.test_module_update", "header": "['class', 'ModuleTestFactory', '(', 'SuperuserMixin', ',', 'BaseTestCase', ')', ':', '___EOS___']", "index": 142 }, { "content": " def test_module_delete(self):\n for model in self.models:\n ns = model._bmfmeta.namespace_api\n\n for obj in model.objects.all():\n url = reverse('%s:delete' % ns, kwargs={\n 'pk': obj.pk,\n })\n response = self.client.get(url, HTTP_X_REQUESTED_WITH='XMLHttpRequest')\n self.assertTrue(response.status_code in [200, 403])", "metadata": "root.ModuleTestFactory.test_module_delete", "header": "['class', 'ModuleTestFactory', '(', 'SuperuserMixin', ',', 'BaseTestCase', ')', ':', '___EOS___']", "index": 153 }, { "content": " def test_module_api_detail(self):\n for model in self.models:\n\n for obj in model.objects.all():\n url = reverse('%s:api-detail' % settings.APP_LABEL, kwargs={\n 'app': obj._meta.app_label,\n 'model': obj._meta.model_name,\n 'pk': obj.pk,\n })\n response = self.client.get(url, HTTP_X_REQUESTED_WITH='XMLHttpRequest')\n self.assertTrue(response.status_code in [200])", "metadata": "root.ModuleTestFactory.test_module_api_detail", "header": "['class', 'ModuleTestFactory', '(', 'SuperuserMixin', ',', 'BaseTestCase', ')', ':', '___EOS___']", "index": 174 }, { "content": " def test_module_api_related(self):\n self.appconf = [app for app in apps.get_app_configs() if isinstance(app, self.app)][0]\n\n for relation in self.appconf.bmf_config.bmf_relations:\n if relation._model not in self.models:\n continue\n\n for obj in relation._model.objects.all():\n url = reverse('%s:api-related' % settings.APP_LABEL, kwargs={\n 'app': obj._meta.app_label,\n 'model': obj._meta.model_name,\n 'pk': obj.pk,\n 'field': relation.slug,\n })\n response = self.client.get(url, HTTP_X_REQUESTED_WITH='XMLHttpRequest')\n self.assertTrue(response.status_code in [200])", "metadata": "root.ModuleTestFactory.test_module_api_related", "header": "['class', 'ModuleTestFactory', '(', 'SuperuserMixin', ',', 'BaseTestCase', ')', ':', '___EOS___']", "index": 186 } ]
[ { "span": "self.assertTrue(response.status_code in [200, 403])", "start_line": 151, "start_column": 16, "end_line": 151, "end_column": 67 }, { "span": "self.assertTrue(response.status_code in [200, 403])", "start_line": 162, "start_column": 16, "end_line": 162, "end_column": 67 }, { "span": "self.assertTrue(response.status_code in [200])", "start_line": 184, "start_column": 16, "end_line": 184, "end_column": 62 }, { "span": "self.assertTrue(response.status_code in [200])", "start_line": 201, "start_column": 16, "end_line": 201, "end_column": 62 } ]
[]
1
true
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Unused import
ionelmc/django-monkey-team/tests/test_project/urls.py
[ { "content": "try:\n from django.conf.urls import patterns, handler404, handler500, include, url\nexcept ImportError:\n from django.conf.urls.defaults import patterns, handler404, handler500, include, url\nfrom django.contrib import admin\nadmin.autodiscover()\n\nurlpatterns = patterns('',\n url(r'^admin/', include(admin.site.urls)),\n)\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "from django.conf.urls import patterns, handler404, handler500, include, url", "start_line": 1, "start_column": 4, "end_line": 1, "end_column": 79 }, { "span": "from django.conf.urls.defaults import patterns, handler404, handler500, include, url", "start_line": 3, "start_column": 4, "end_line": 3, "end_column": 88 } ]
[]
1
false
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Unused local variable
facebook/sparts/demo/demo_tui.py
[ { "content": " def make_form(self):\n # These lines create the form and populate it with widgets.\n # A fairly complex screen in only 8 or so lines of code - a line for each control.\n F = npyscreen.Form(name = \"Welcome to Npyscreen\",)\n t = F.add(npyscreen.TitleText, name = \"Text:\",)\n fn = F.add(npyscreen.TitleFilename, name = \"Filename:\")\n fn2 = F.add(npyscreen.TitleFilenameCombo, name=\"Filename2:\")\n dt = F.add(npyscreen.TitleDateCombo, name = \"Date:\")\n s = F.add(npyscreen.TitleSlider, out_of=12, name = \"Slider\")\n ml = F.add(npyscreen.MultiLineEdit,\n value = \"\"\"try typing here!\\nMutiline text, press ^R to reformat.\\n\"\"\",\n max_height=5, rely=9)\n ms = F.add(npyscreen.TitleSelectOne, max_height=4, value = [1,], name=\"Pick One\",\n values = [\"Option1\",\"Option2\",\"Option3\"], scroll_exit=True)\n ms2= F.add(npyscreen.TitleMultiSelect, max_height =-2, value = [1,], name=\"Pick Several\",\n values = [\"Option1\",\"Option2\",\"Option3\"], scroll_exit=True)\n return F", "metadata": "root.MyUI.make_form", "header": "['class', 'MyUI', '(', 'UITask', ')', ':', '___EOS___']", "index": 17 } ]
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[]
1
true
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karesansui/karesansui/bin/create_storage_pool.py
[ { "content": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# This file is part of Karesansui.\n#\n# Copyright (C) 2012 HDE, Inc.\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the rights\n# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n# copies of the Software, and to permit persons to whom the Software is\n# furnished to do so, subject to the following conditions:\n#\n# The above copyright notice and this permission notice shall be included in\n# all copies or substantial portions of the Software.\n#\n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n# THE SOFTWARE.\n#\n\nimport os\nimport sys\nimport re\nimport logging\nfrom optparse import OptionParser\n\nfrom ksscommand import KssCommand, KssCommandException, KssCommandOptException\n\nimport __cmd__\n\ntry:\n import karesansui\n from karesansui import __version__\n from karesansui.lib.virt.virt import KaresansuiVirtConnection\n from karesansui.lib.utils import load_locale, get_pwd_info, get_grp_info\n from karesansui.lib.const import STORAGE_POOL_TYPE\n\nexcept ImportError, e:\n print >>sys.stderr, \"[Error] some packages not found. - %s\" % e\n sys.exit(1)\n\n_ = load_locale()\n\nusage = '%prog [options]'\n\n\n\n\nif __name__ == \"__main__\":\n target = CreateStoragePool()\n sys.exit(target.run())\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def getopts():\n optp = OptionParser(usage=usage, version=__version__)\n optp.add_option('-n', '--name', dest='name', help=_('Name'), default=None)\n optp.add_option('-t', '--type', dest='type', help=_('Pool Type (dir or iscsi or fs)'), default=None)\n optp.add_option('-p', '--target_path', dest='target_path', help=_('Target path (dir, fs)'), default=None)\n #optp.add_option('-a', '--allocation', dest='allocation', help=_('Allocation'), default=0, type=\"int\")\n #optp.add_option('-v', '--available', dest='available', help=_('Available'), default=0, type=\"int\")\n #optp.add_option('-c', '--capacity', dest='capacity', help=_('Capacity'), default=0, type=\"int\")\n optp.add_option('-b', '--host_name', dest='host_name', help=_('Host name (iscsi)'), default=None)\n optp.add_option('-d', '--device_path', dest='device_path', help=_('Device path (iscsi, fs)'), default=None)\n optp.add_option('-g', '--group', dest='group', help=_('Permission group'), default=None)\n optp.add_option('-l', '--label', dest='label', help=_('Permission label'), default=None)\n optp.add_option('-m', '--mode', dest='mode', help=_('Permission mode'), default=None)\n optp.add_option('-o', '--owner', dest='owner', help=_('Permission owner'), default=None)\n return optp.parse_args()", "metadata": "root.getopts", "header": "['module', '___EOS___']", "index": 51 }, { "content": "def chkopts(opts):\n reg = re.compile(\"[^a-zA-Z0-9\\./_:-]\")\n\n if opts.name:\n if reg.search(opts.name):\n raise KssCommandOptException('ERROR: Illigal option value. option=%s value=%s' % ('-n or --name', opts.name))\n else:\n raise KssCommandOptException('ERROR: %s option is required.' % '-n or --name')\n\n if opts.type:\n if opts.type not in STORAGE_POOL_TYPE.values():\n raise KssCommandOptException('ERROR: Type is not available. type=%s' % opts.type)\n else:\n raise KssCommandOptException('ERROR: %s option is required.' % '-t or --type')\n\n if opts.type == STORAGE_POOL_TYPE[\"TYPE_DIR\"]:\n # type:dir\n if not opts.target_path:\n raise KssCommandOptException('ERROR: %s option is required.' % '-p or --target_path')\n\n elif opts.type == STORAGE_POOL_TYPE[\"TYPE_ISCSI\"]:\n # type:iscsi\n if not opts.host_name:\n raise KssCommandOptException('ERROR: %s option is required.' % '-b or --host_name')\n if not opts.device_path:\n raise KssCommandOptException('ERROR: %s option is required.' % '-d or --device_path')\n\n elif opts.type == STORAGE_POOL_TYPE[\"TYPE_FS\"]:\n # type:fs\n if not opts.target_path:\n raise KssCommandOptException('ERROR: %s option is required.' % '-p or --target_path')\n if not opts.device_path:\n raise KssCommandOptException('ERROR: %s option is required.' % '-d or --device_path')\n\n else:\n raise KssCommandOptException('ERROR: The type that does not exist. type=%s' % opts.type)\n\n if opts.label:\n if reg.search(opts.label):\n raise KssCommandOptException('ERROR: Illigal option value. option=%s value=%s' % ('-l or --label', opts.label))\n\n reg = re.compile(\"[^0-9]\")\n if opts.owner:\n if reg.search(opts.owner):\n if opts.owner not in [user[0] for user in get_pwd_info()]:\n raise KssCommandOptException('ERROR: Permission user not found. owner=%s' % (opts.owner))\n else:\n if int(opts.owner) not in [user[2] for user in get_pwd_info()]:\n raise KssCommandOptException('ERROR: Permission user not found. owner=%s' % (opts.owner))\n\n if opts.group:\n if reg.search(opts.group):\n if opts.group not in [group[0] for group in get_grp_info()]:\n raise KssCommandOptException('ERROR: Permission user not found. group=%s' % (opts.group))\n else:\n if int(opts.group) not in [group[2] for group in get_grp_info()]:\n raise KssCommandOptException('ERROR: Permission user not found. group=%s' % (opts.group))\n\n reg = re.compile(\"^[0-9]{3,4}$\")\n if opts.mode:\n if not reg.match(opts.mode):\n raise KssCommandOptException('ERROR: Illigal permission mode. mode=%s' % (opts.mode))", "metadata": "root.chkopts", "header": "['module', '___EOS___']", "index": 67 }, { "content": "class CreateStoragePool(KssCommand):\n", "metadata": "root.CreateStoragePool", "header": "['module', '___EOS___']", "index": 130 }, { "content": " def process(self):\n (opts, args) = getopts()\n chkopts(opts)\n\n self.up_progress(10)\n conn = KaresansuiVirtConnection(readonly=False)\n try:\n inactive_storage_pools = conn.list_inactive_storage_pool()\n active_storage_pools = conn.list_active_storage_pool()\n\n self.up_progress(10)\n\n if opts.name in active_storage_pools or opts.name in inactive_storage_pools:\n raise KssCommandException('Storage pool already exists. - pool=%s' % opts.name)\n\n try:\n if opts.type == STORAGE_POOL_TYPE[\"TYPE_DIR\"]:\n if conn.create_storage_pool(opts.name, opts.type,\n opts.target_path,\n #allocation=opts.allocation, available=opts.available,\n #capacity=opts.capacity,\n target_p_group=opts.group, target_p_label=opts.label,\n target_p_mode=opts.mode, target_p_owner=opts.owner,\n ) is False:\n raise KssCommandException('Failed to create storage pools. - pool=%s' \\\n % opts.name)\n\n elif opts.type == STORAGE_POOL_TYPE[\"TYPE_ISCSI\"]:\n if conn.create_storage_pool(opts.name, opts.type,\n target_path=\"/dev/disk/by-path\",\n source_h_name=opts.host_name,\n source_dev_path=opts.device_path,\n #allocation=opts.allocation, available=opts.available,\n #capacity=opts.capacity,\n target_p_group=opts.group, target_p_label=opts.label,\n target_p_mode=opts.mode, target_p_owner=opts.owner,\n ) is False:\n raise KssCommandException('Failed to create storage pools. - pool=%s' \\\n % opts.name)\n\n elif opts.type == STORAGE_POOL_TYPE[\"TYPE_FS\"]:\n if conn.create_storage_pool(opts.name, opts.type,\n opts.target_path,\n source_dev_path=opts.device_path,\n #allocation=opts.allocation, available=opts.available,\n #capacity=opts.capacity,\n target_p_group=opts.group, target_p_label=opts.label,\n target_p_mode=opts.mode, target_p_owner=opts.owner,\n ) is False:\n raise KssCommandException('Failed to create storage pools. - pool=%s' \\\n % opts.name)\n\n else:\n raise KssCommandOptException('ERROR: The type that does not exist. type=%s' \\\n % opts.type)\n\n self.up_progress(20)\n # pool check\n inactive_storage_pools = conn.list_inactive_storage_pool()\n active_storage_pools = conn.list_active_storage_pool()\n\n if not (opts.name in active_storage_pools or opts.name in inactive_storage_pools):\n raise KssCommandException(\n 'Failed to create storage pools. (Unexplained) - pool=%s' \\\n % opts.name)\n\n self.up_progress(20)\n # pool autostart check\n flag = True # autostart on\n if conn.autostart_storage_pool(flag) is False:\n raise KssCommandException(\n 'Failed to autostart storage pool(libvirt). - pool=%s'\n % (opts.name))\n\n ret = conn.is_autostart_storage_pool()\n if not (ret is flag):\n raise KssCommandException(\n 'Auto-start failed to set the storage pool. - pool=%s, autostart=%s' \\\n % (opts.name, str(ret)))\n\n self.logger.info('Created storage pool. - pool=%s' % (opts.name))\n print >>sys.stdout, _('Created storage pool. - pool=%s') % (opts.name)\n return True\n except KssCommandException, e:\n raise e\n finally:\n conn.close()", "metadata": "root.CreateStoragePool.process", "header": "['class', 'CreateStoragePool', '(', 'KssCommand', ')', ':', '___EOS___']", "index": 132 } ]
[ { "span": "import os", "start_line": 26, "start_column": 0, "end_line": 26, "end_column": 9 }, { "span": "import logging", "start_line": 29, "start_column": 0, "end_line": 29, "end_column": 14 }, { "span": "import karesansui", "start_line": 37, "start_column": 4, "end_line": 37, "end_column": 21 } ]
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Unused import
bslatkin/dpxdt/dpxdt/server/__init__.py
[ { "content": "#!/usr/bin/env python\n# Copyright 2013 Brett Slatkin\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\"\"\"Main module for the API server.\"\"\"\n\nimport datetime\nimport logging\nimport os\n\n# Local libraries\nfrom flask import Flask, url_for\nfrom flask.ext.cache import Cache\nfrom flask.ext.login import LoginManager\nfrom flask.ext.mail import Mail\nfrom flask.ext.sqlalchemy import SQLAlchemy\nimport jinja2\n\n# Local modules required for app setup\nimport config\n\n\napp = Flask(__name__)\napp.config.from_object(config)\nif 'YOURAPPLICATION_SETTINGS' in os.environ:\n app.config.from_envvar('YOURAPPLICATION_SETTINGS')\n\n\ndb = SQLAlchemy(\n app,\n # Don't expire model instances on commit. Let functions continue to\n # quickly read properties from their last known-good state.\n session_options=dict(expire_on_commit=False))\n\n\nlogin = LoginManager(app)\nlogin.login_view = 'login_view'\nlogin.refresh_view = 'login_view'\n\n\ncache = Cache(app)\n\n\nmail = Mail(app)\n\n\n# Modules with handlers to register with the app\nfrom dpxdt.server import api\nfrom dpxdt.server import auth\nfrom dpxdt.server import emails\nfrom dpxdt.server import frontend\nfrom dpxdt.server import work_queue\nfrom dpxdt.server import work_queue_handlers\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "import datetime", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 15 }, { "span": "import logging", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 14 }, { "span": "from flask import Flask, url_for", "start_line": 22, "start_column": 0, "end_line": 22, "end_column": 32 }, { "span": "import jinja2", "start_line": 27, "start_column": 0, "end_line": 27, "end_column": 13 }, { "span": "from dpxdt.server import api", "start_line": 58, "start_column": 0, "end_line": 58, "end_column": 28 }, { "span": "from dpxdt.server import auth", "start_line": 59, "start_column": 0, "end_line": 59, "end_column": 29 }, { "span": "from dpxdt.server import emails", "start_line": 60, "start_column": 0, "end_line": 60, "end_column": 31 }, { "span": "from dpxdt.server import frontend", "start_line": 61, "start_column": 0, "end_line": 61, "end_column": 33 }, { "span": "from dpxdt.server import work_queue", "start_line": 62, "start_column": 0, "end_line": 62, "end_column": 35 }, { "span": "from dpxdt.server import work_queue_handlers", "start_line": 63, "start_column": 0, "end_line": 63, "end_column": 44 } ]
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Unused local variable
fchollet/keras/keras/backend/theano_backend.py
[ { "content": "def conv3d(x, kernel, strides=(1, 1, 1),\n border_mode='valid', dim_ordering='th',\n volume_shape=None, filter_shape=None):\n '''\n Run on cuDNN if available.\n border_mode: string, \"same\" or \"valid\".\n '''\n if dim_ordering not in {'th', 'tf'}:\n raise Exception('Unknown dim_ordering ' + str(dim_ordering))\n\n if border_mode not in {'same', 'valid'}:\n raise Exception('Invalid border mode: ' + str(border_mode))\n\n if dim_ordering == 'tf':\n # TF uses the last dimension as channel dimension,\n # instead of the 2nd one.\n # TH input shape: (samples, input_depth, conv_dim1, conv_dim2, conv_dim3)\n # TF input shape: (samples, conv_dim1, conv_dim2, conv_dim3, input_depth)\n # TH kernel shape: (out_depth, input_depth, kernel_dim1, kernel_dim2, kernel_dim3)\n # TF kernel shape: (kernel_dim1, kernel_dim2, kernel_dim3, input_depth, out_depth)\n x = x.dimshuffle((0, 4, 1, 2, 3))\n kernel = kernel.dimshuffle((4, 3, 0, 1, 2))\n if volume_shape:\n volume_shape = (volume_shape[0], volume_shape[4],\n volume_shape[1], volume_shape[2], volume_shape[3])\n if filter_shape:\n filter_shape = (filter_shape[4], filter_shape[3],\n filter_shape[0], filter_shape[1], filter_shape[2])\n\n if border_mode == 'same':\n assert(strides == (1, 1, 1))\n pad_dim1 = (kernel.shape[2] - 1)\n pad_dim2 = (kernel.shape[3] - 1)\n pad_dim3 = (kernel.shape[4] - 1)\n output_shape = (x.shape[0], x.shape[1],\n x.shape[2] + pad_dim1,\n x.shape[3] + pad_dim2,\n x.shape[4] + pad_dim3)\n output = T.zeros(output_shape)\n indices = (slice(None), slice(None),\n slice(pad_dim1 // 2, x.shape[2] + pad_dim1 // 2),\n slice(pad_dim2 // 2, x.shape[3] + pad_dim2 // 2),\n slice(pad_dim3 // 2, x.shape[4] + pad_dim3 // 2))\n x = T.set_subtensor(output[indices], x)\n border_mode = 'valid'\n\n border_mode_3d = (border_mode, border_mode, border_mode)\n conv_out = conv3d2d.conv3d(signals=x.dimshuffle(0, 2, 1, 3, 4),\n filters=kernel.dimshuffle(0, 2, 1, 3, 4),\n border_mode=border_mode_3d)\n conv_out = conv_out.dimshuffle(0, 2, 1, 3, 4)\n\n # support strides by manually slicing the output\n if strides != (1, 1, 1):\n conv_out = conv_out[:, :, ::strides[0], ::strides[1], ::strides[2]]\n\n if dim_ordering == 'tf':\n conv_out = conv_out.dimshuffle((0, 2, 3, 4, 1))\n\n return conv_out", "metadata": "root.conv3d", "header": "['module', '___EOS___']", "index": 846 } ]
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Unreachable code
formencode/formencode/formencode/validators.py
[ { "content": " def _validate_python(self, value, state):\n if value == 0:\n # This isn't \"empty\" for this definition.\n return value\n if not value:\n raise Invalid(self.message('empty', state), value, state)", "metadata": "root.NotEmpty._validate_python", "header": "['class', 'NotEmpty', '(', 'FancyValidator', ')', ':', '___EOS___']", "index": 445 } ]
[ { "span": "raise Invalid(self.message('empty', state), value, state)", "start_line": 450, "start_column": 12, "end_line": 450, "end_column": 69 } ]
[]
1
true
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Variable defined multiple times
aldebaran/qibuild/python/qibuild/cmake/__init__.py
[ { "content": "def check_root_cmake_list(cmake_list_file):\n \"\"\" Check that the root CMakeLists is correct.\n\n * It should contain a cmake_minimum_required() line\n * It should contain a call to project()\n * If find_package(qibuild) is called, it should be\n called after project()\n\n \"\"\"\n dirname = os.path.dirname(cmake_list_file)\n suggested_project_name = os.path.basename(dirname)\n message = \"\"\n lines = list()\n with open(cmake_list_file, \"r\") as fp:\n lines = fp.readlines()\n\n project_line_number = None\n find_qibuild_line_number = None\n minimum_required_found = False\n for (i, line) in enumerate(lines):\n if re.match(r'^\\s*project\\s*\\(', line, re.IGNORECASE):\n project_line_number = i\n if re.match(r'^\\s*find_package\\s*\\(.*qibuild\\.*\\)', line,\n re.IGNORECASE):\n find_qibuild_line_number = i\n if re.match(r'^\\s*cmake_minimum_required\\(', line,\n re.IGNORECASE):\n minimum_required_found = True\n\n if not minimum_required_found:\n message += \"\"\"\n* Missing call to cmake_minimum_required()\nAdd a line looking like:\n\ncmake_minimum_required(VERSION 2.8)\n\nAt the top of the CMakeLists.txt file\n\"\"\"\n\n if project_line_number is None:\n message += \"\"\"\n* Missing call to project().\nPlease fix this by editing the file so that it looks like\n\ncmake_minimum_required(VERSION 2.8)\nproject({project_name})\nfind_package(qibuild)\n\n\"\"\".format(\n project_name=suggested_project_name)\n\n if find_qibuild_line_number is not None and \\\n project_line_number is not None and \\\n project_line_number > find_qibuild_line_number:\n message += \"\"\"\n* The call to find_package(qibuild) should be AFTER the call to project()\n\"\"\"\n if message:\n raise IncorrectCMakeLists(cmake_list_file, message)", "metadata": "root.check_root_cmake_list", "header": "['module', '___EOS___']", "index": 297 } ]
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1
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"\\u\\u\\uNEWLINE\\u\\u\\u_", "find", "\\u", "qi", "build", "\\u", "line", "\\u", "number_", "=_", "None_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "minim", "um", "\\u", "require", "d\\u", "found_", "=_", "False_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "for_", "(_", "i_", ",_", "line_", ")_", "in_", "enumerate_", "(_", "lines_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "if_", "re_", "._", "match_", "(_", "r", "'", "^", "\\\\", "s", "*", "project", "\\\\", "s", "*\\\\", "('_", ",_", "line_", ",_", "re_", "._", "IGNORECASE_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "project", "\\u", "line", "\\u", "number_", "=_", "i_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "re_", "._", "match_", "(_", "r", "'", "^", "\\\\", "s", "*", "find", "\\u", "package", "\\\\", "s", "*\\\\", "(.", "*", "qi", "build", "\\\\.", "*\\\\", ")'_", ",_", "line_", ",_", "\\u\\u\\uNL\\u\\u\\u_", "re_", "._", "IGNORECASE_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "find", "\\u", "qi", "build", "\\u", "line", "\\u", "number_", "=_", "i_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "re_", "._", "match_", "(_", "r", "'", "^", "\\\\", "s", "*", "cma", "ke", "\\u", "minim", "um", "\\u", "require", "d", "\\\\(", "'_", ",_", "line_", ",_", "\\u\\u\\uNL\\u\\u\\u_", "re_", "._", "IGNORECASE_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "minim", "um", "\\u", "require", "d\\u", "found_", "=_", "True_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "not_", "minim", "um", "\\u", "require", "d\\u", "found_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "message_", "+=_", "\"\"\"", "\\", "10", ";", "*", " ", "Missing", " ", "call", " ", "to", " ", "cma", "ke", "\\u", "minim", "um", "\\u", "require", "d", "()", "\\", "10", ";", "Add", " ", "a", " ", "line", " ", "look", "ing", " ", "like", ":", "\\", "10", ";", "\\", "10", ";", "cma", "ke", "\\u", "minim", "um", "\\u", "require", "d", "(", "VERSI", "ON", " ", "2.8", ")", "\\", "10", ";", "\\", "10", ";", "At", " ", "the", " ", "top", " ", "of", " ", "the", " ", "CM", "ake", "List", "s", ".", "txt", " ", "file", "\\", "10", ";\"\"\"_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "project", "\\u", "line", "\\u", "number_", "is_", "None_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "message_", "+=_", "\"\"\"", "\\", "10", ";", "*", " ", "Missing", " ", "call", " ", "to", " ", "project", "()", ".", "\\", "10", ";", "Ple", "ase", " ", "fix", " ", "this", " ", "by", " ", "editin", "g", " ", "the", " ", "file", " ", "so", " ", "tha", "t", " ", "it", " ", "look", "s", " ", "like", "\\", "10", ";", "\\", "10", ";", "cma", "ke", "\\u", "minim", "um", "\\u", "require", "d", "(", "VERSI", "ON", " ", "2.8", ")", "\\", "10", ";", "project", "({", "project", "\\u", "name", "})", "\\", "10", ";", "find", "\\u", "package", "(", "qi", "build", ")", "\\", "10", ";", "\\", "10", ";\"\"\"_", "._", "format_", "(_", "\\u\\u\\uNL\\u\\u\\u_", "project", "\\u", "name_", "=_", "suggested", "\\u", "project", "\\u", "name_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "find", "\\u", "qi", "build", "\\u", "line", "\\u", "number_", "is_", "not_", "None_", "and_", "project", "\\u", "line", "\\u", "number_", "is_", "not_", "None_", "and_", "project", "\\u", "line", "\\u", "number_", ">_", "find", "\\u", "qi", "build", "\\u", "line", "\\u", "number_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "message_", "+=_", "\"\"\"", "\\", "10", ";", "*", " ", "The", " ", "call", " ", "to", " ", "find", "\\u", "package", "(", "qi", "build", ")", " ", "shou", "ld", " ", "be", " ", "AFTER", " ", "the", " ", "call", " ", "to", " ", "project", "()", "\\", "10", ";\"\"\"_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "if_", "message_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "raise_", "Inco", "rrect", "CM", "ake", "Lists_", "(_", "cma", "ke", "\\u", "list", "\\u", "file_", ",_", "message_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_" ]
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Unused import
azoft-dev-team/imagrium/env/Lib/test/test_java_list_delegate.py
[ { "content": "from java.util import ArrayList, List, Vector\n\nfrom copy import copy\n\nimport unittest\nimport test.test_support\n\n\n\n\n\nif __name__ == \"__main__\":\n test_main()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class CollectionProxyTest(unittest.TestCase):\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n ", "metadata": "root.CollectionProxyTest", "header": "['module', '___EOS___']", "index": 7 }, { "content": " def _perform_op(self, value, op_func):\n \"\"\"\n Perform an operation\n\n value - the value to operate on\n op_func - the function that applies the operation to value\n\n Returns:\n the result of calling op_func, OR the exception that was raised in op_func\n \"\"\"\n try:\n return op_func(value)\n except Exception, e:\n return type(e)", "metadata": "root.CollectionProxyTest._perform_op", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 8 }, { "content": " def _arraylist_of(self, xs):\n \"\"\"\n Converts a python list to a java.util.ArrayList\n \"\"\"\n a = ArrayList()\n a.addAll( xs )\n return a", "metadata": "root.CollectionProxyTest._arraylist_of", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 23 }, { "content": " def check_list(self, control, results, list_type_names, initial, test_name):\n for result, type_name in zip(results, list_type_names):\n try:\n len(result)\n except:\n print result\n self.assertEquals(len(control), len(result), \"%s: length for %s does not match that of list\" % (test_name, type_name))\n for control_value, result_value in zip(control, result):\n self.assertEquals(control_value, result_value, \"%s: values from %s do not match those from list\" % (test_name, type_name))", "metadata": "root.CollectionProxyTest.check_list", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 31 }, { "content": " def _list_op_test(self, initial_value, op_func, test_name):\n \"\"\"\n Tests a list operation\n\n Ensures that performing an operation on:\n - a python list\n - a java.util.List instance\n\n gives the same result in both cases\n \"\"\"\n lists = [list(initial_value), ArrayList(initial_value), Vector(initial_value)]\n list_type_names = ['list', 'ArrayList', 'Vector']\n\n results = [self._perform_op(l, op_func) for l in lists]\n self.check_list(lists[0], lists[1:], list_type_names[1:], initial_value, test_name)\n if not isinstance(results[0], list):\n for r,n in zip(results[1:], list_type_names[1:]):\n self.assertEquals(results[0], r, '%s: result for list does not match result for java type %s' % (test_name,n) )\n else:\n self.check_list(results[0], results[1:], list_type_names[1:], initial_value, test_name)", "metadata": "root.CollectionProxyTest._list_op_test", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 41 }, { "content": " def test_get_integer(self):\n initial_value = range(0, 5)\n\n for i in xrange(-7, 7):\n self._list_op_test(initial_value, lambda xs: xs[i], 'get_integer [%d]' % (i,))", "metadata": "root.CollectionProxyTest.test_get_integer", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 62 }, { "content": " def test_get_slice(self):\n initial_value = range(0, 5)\n \n for i in [None] + range(-7, 7):\n for j in [None] + range(-7, 7):\n for k in [None] + range(-7, 7):\n self._list_op_test(initial_value, lambda xs: xs[i:j:k], 'get_slice [%s:%s:%s]' % (i,j,k))", "metadata": "root.CollectionProxyTest.test_get_slice", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 68 }, { "content": " def test_set_integer(self):\n initial_value = range(0, 5)\n\n def make_op_func(index):\n def _f(xs):\n xs[index] = 100\n return _f\n\n for i in xrange(-7, 7):\n self._list_op_test(initial_value, make_op_func(i), 'set_integer [%d]' % (i,))", "metadata": "root.CollectionProxyTest.test_set_integer", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 76 }, { "content": " def test_set_slice(self):\n initial_value = range(0, 5)\n\n def make_op_func(i, j, k, v):\n def _f(xs):\n xs[i:j:k] = v\n return _f\n \n for i in [None] + range(-7, 7):\n for j in [None] + range(-7, 7):\n for k in [None] + range(-7, 7):\n self._list_op_test(initial_value, make_op_func(i, j, k, []), 'set_slice [%s:%s:%s]=[]' % (i,j,k))\n self._list_op_test(initial_value, make_op_func(i, j, k, range(0,2)), 'set_slice [%s:%s:%s]=range(0,2)' % (i,j,k))\n self._list_op_test(initial_value, make_op_func(i, j, k, range(0,4)), 'set_slice [%s:%s:%s]=range(0,4)' % (i,j,k))\n self._list_op_test(initial_value, make_op_func(i, j, k, xrange(0,2)), 'set_slice [%s:%s:%s]=xrange(0,2)' % (i,j,k))\n self._list_op_test(initial_value, make_op_func(i, j, k, self._arraylist_of(range(0,2))), 'set_slice [%s:%s:%s]=ArrayList(range(0,2))' % (i,j,k))\n \n self._list_op_test([1,2,3,4,5], make_op_func(1, None, None, [1,2,3,4,5]), 'set_slice [1:]=[1,2,3,4,5]')", "metadata": "root.CollectionProxyTest.test_set_slice", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 87 }, { "content": " def test_del_integer(self):\n initial_value = range(0,5)\n\n def make_op_func(index):\n def _f(xs):\n del xs[index]\n return _f\n\n for i in xrange(-7, 7):\n self._list_op_test(initial_value, make_op_func(i), 'del_integer [%d]' % (i,))", "metadata": "root.CollectionProxyTest.test_del_integer", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 106 }, { "content": " def test_del_slice(self):\n initial_value = range(0,5)\n\n def make_op_func(i, j, k):\n def _f(xs):\n del xs[i:j:k]\n return _f\n\n for i in [None] + range(-7, 7):\n for j in [None] + range(-7, 7):\n for k in [None] + range(-7, 7):\n self._list_op_test(initial_value, make_op_func(i, j, k), 'del_slice [%s:%s:%s]' % (i,j,k))", "metadata": "root.CollectionProxyTest.test_del_slice", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 117 }, { "content": " def test_len(self):\n jlist = ArrayList()\n jlist.addAll(range(0, 10))\n\n self.assert_(len(jlist) == 10)", "metadata": "root.CollectionProxyTest.test_len", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 130 }, { "content": " def test_iter(self):\n jlist = ArrayList()\n jlist.addAll(range(0, 10))\n\n i = iter(jlist)\n\n x = list(i)\n\n self.assert_(x == range(0, 10))", "metadata": "root.CollectionProxyTest.test_iter", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 136 }, { "content": " def test_override_len(self):\n class MyList (ArrayList):\n def __len__(self):\n return self.size() + 1;\n\n m = MyList()\n m.addAll(range(0,10))\n\n self.assert_(len(m) == 11)", "metadata": "root.CollectionProxyTest.test_override_len", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 146 }, { "content": " def test_override_iter(self):\n class MyList (ArrayList):\n def __iter__(self):\n return iter(self.subList(0, self.size() - 1));\n\n\n m = MyList()\n m.addAll(range(0,10))\n i = iter(m)\n x = list(i)\n\n self.assert_(x == range(0, 9))", "metadata": "root.CollectionProxyTest.test_override_iter", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 156 }, { "content": " def test_override_getsetdelitem(self):\n # Create an ArrayList subclass that provides some silly overrides for get/set/del item\n class MyList (ArrayList):\n def __getitem__(self, key):\n return self.get(key) * 2;\n\n def __setitem__(self, key, value):\n return self.set(key, value * 2);\n\n def __delitem__(self, key):\n self.add(84)\n\n\n m = MyList()\n m.addAll(range(0,10))\n\n self.assert_(m[1] == 2)\n self.assert_(m.get(1) == 1)\n\n m[0] = 3\n self.assert_(m.get(0) == 6)\n self.assert_(m[0] == 12)\n\n del m[0]\n self.assert_(m.size() == 11)\n self.assert_(m.get(10) == 84)", "metadata": "root.CollectionProxyTest.test_override_getsetdelitem", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 169 }, { "content": " def test_set_slice_from_input_types(self):\n \"\"\"\n Tests the slice setting functionality of Python lists\n Ensures that the results are all the same, whether the source list is a Python list, a java.util.List or an iterator\n \"\"\"\n initial_value = range(0, 5)\n \n def make_op_func(i, j, k, v):\n def _f(xs):\n xs[i:j:k] = v\n return _f\n \n for i in [None] + range(-7, 7):\n for j in [None] + range(-7, 7):\n for k in [None] + range(-7, 7):\n destPy = copy(initial_value)\n destJUL = copy(initial_value)\n destIter = copy(initial_value)\n \n sourcePy = range(0, 2)\n sourceJUL = self._arraylist_of(range(0, 2))\n sourceIter = xrange(0, 2)\n \n resultPy = self._perform_op(destPy, make_op_func(i, j, k, sourcePy))\n resultJUL = self._perform_op(destJUL, make_op_func(i, j, k, sourceJUL))\n resultIter = self._perform_op(destIter, make_op_func(i, j, k, sourceIter))\n \n self.assertEquals(resultPy, resultJUL)\n self.assertEquals(resultPy, resultIter)\n\n self.assertEquals(destPy, destJUL)\n self.assertEquals(destPy, destIter)", "metadata": "root.CollectionProxyTest.test_set_slice_from_input_types", "header": "['class', 'CollectionProxyTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 198 }, { "content": "def test_main():\n test.test_support.run_unittest(CollectionProxyTest)", "metadata": "root.test_main", "header": "['module', '___EOS___']", "index": 233 } ]
[ { "span": "from java.util import ArrayList, List, Vector", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 45 } ]
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Unused local variable
Arelle/Arelle/arelle/CntlrWebMain.py
[ { "content": "def validation(file=None):\n \"\"\"REST request to validate, by *get* or *post*, to URL patterns including */rest/xbrl/<file:path>/{open|close|validation|DTS...}*,\n and */rest/xbrl/{view|open|close}*.\n Sets up CntrlCmdLine options for request, performed by runOptionsAndGetResult using CntlrCmdLine.run with get or post arguments.\n \n :returns: html, xhtml, xml, json, text -- Return per media type argument and request arguments\n \"\"\"\n errors = []\n flavor = request.query.flavor or 'standard'\n media = request.query.media or 'html'\n requestPathParts = request.urlparts[2].split('/')\n isValidation = 'validation' == requestPathParts[-1] or 'validation' == requestPathParts[-2]\n view = request.query.view\n viewArcrole = request.query.viewArcrole\n if request.method == 'POST':\n mimeType = request.get_header(\"Content-Type\")\n if mimeType.startswith(\"multipart/form-data\"):\n _upload = request.files.get(\"upload\")\n if not _upload or not _upload.filename.endswith(\".zip\"):\n errors.append(_(\"POST file upload must be a zip file\"))\n sourceZipStream = None\n else:\n sourceZipStream = _upload.file\n elif mimeType not in ('application/zip', 'application/x-zip', 'application/x-zip-compressed', 'multipart/x-zip'):\n errors.append(_(\"POST must provide a zip file, Content-Type '{0}' not recognized as a zip file.\").format(mimeType))\n sourceZipStream = request.body\n else:\n sourceZipStream = None\n if not view and not viewArcrole:\n if requestPathParts[-1] in supportedViews:\n view = requestPathParts[-1]\n if isValidation:\n if view or viewArcrole:\n errors.append(_(\"Only validation or one view can be specified in one requested.\"))\n if media not in ('xml', 'xhtml', 'html', 'json', 'text') and not (sourceZipStream and media == 'zip'):\n errors.append(_(\"Media '{0}' is not supported for validation (please select xhtml, html, xml, json or text)\").format(media))\n elif view or viewArcrole:\n if media not in ('xml', 'xhtml', 'html', 'csv', 'json'):\n errors.append(_(\"Media '{0}' is not supported for view (please select xhtml, html, xml, csv, or json)\").format(media))\n elif requestPathParts[-1] not in (\"open\", \"close\"): \n errors.append(_(\"Neither validation nor view requested, nothing to do.\"))\n if (flavor not in ('standard', 'standard-except-formula', 'formula-compile-only', 'formula-compile-and-run')\n and not flavor.startswith('edgar') and not flavor.startswith('sec')):\n errors.append(_(\"Flavor '{0}' is not supported\").format(flavor)) \n if view and view not in supportedViews:\n errors.append(_(\"View '{0}' is not supported\").format(view))\n if errors:\n errors.insert(0, _(\"URL: \") + (file or request.query.file or '(no file)'))\n return errorReport(errors, media)\n options = Options() # need named parameters to simulate options\n isFormulaOnly = False\n for key, value in request.query.items():\n if key == \"file\":\n setattr(options, \"entrypointFile\", value)\n elif key == \"flavor\":\n if value.startswith(\"sec\") or value.startswith(\"edgar\"):\n setattr(options, \"validateEFM\", True)\n elif value == \"formula-compile-only\":\n isFormulaOnly = True\n setattr(options, \"formulaAction\", \"validate\")\n elif value == \"formula-compile-and-run\":\n isFormulaOnly = True\n setattr(options, \"formulaAction\", \"run\")\n elif value == \"standard-except-formula\":\n setattr(options, \"formulaAction\", \"none\")\n elif key in(\"media\", \"view\", \"viewArcrole\"):\n pass\n elif key in validationOptions:\n optionKey, optionValue = validationOptions[key]\n setattr(options, optionKey, optionValue if optionValue is not None else value)\n elif key in validationKeyVarName:\n setattr(options, validationKeyVarName[key], value or True)\n elif not value: # convert plain str parameter present to True parameter\n setattr(options, key, True)\n else:\n setattr(options, key, value)\n if file:\n setattr(options, \"entrypointFile\", file.replace(';','/'))\n requestPathParts = set(request.urlparts[2].split('/'))\n viewFile = None\n if isValidation:\n if not isFormulaOnly:\n setattr(options, \"validate\", True)\n elif view:\n viewFile = FileNamedStringIO(media)\n setattr(options, view + \"File\", viewFile)\n elif viewArcrole:\n viewFile = FileNamedStringIO(media)\n setattr(options, \"viewArcrole\", viewArcrole)\n setattr(options, \"viewFile\", viewFile)\n return runOptionsAndGetResult(options, media, viewFile, sourceZipStream)", "metadata": "root.validation", "header": "['module', '___EOS___']", "index": 196 }, { "content": "def quickbooksGLresponse():\n \"\"\"Poll for QuickBooks protocol responses for *get* requests to */rest/quickbooks/response*.\n \n :returns: html, xml, csv, text -- Return per media type argument and request arguments, if response is ready, otherwise javascript to requery this *get* request periodicially.\n \"\"\"\n from arelle import CntlrQuickBooks\n ticket = request.query.ticket\n media = request.query.media\n viewRequested = request.query.view\n status = CntlrQuickBooks.qbRequestStatus.get(ticket)\n if not status:\n return htmlBody(tableRows([_(\"QuickBooks ticket not found, request canceled.\")], header=_(\"Quickbooks Request\")))\n if status.startswith(\"ConnectionErrorMessage: \"):\n CntlrQuickBooks.qbRequestStatus.pop(ticket, None)\n return errorReport([status[24:]], media)\n if status != \"Done\" or ticket not in CntlrQuickBooks.xbrlInstances:\n return htmlBody(tableRows([_(\"{0}, Waiting 20 seconds...\").format(status)], \n header=_(\"Quickbooks Request\")), \n script='''\n<script type=\"text/javascript\">\n<!-- \nvar timer = setInterval(\"autoRefresh()\", 1000 * 20);\nfunction autoRefresh(){{clearInterval(timer);self.location.reload(true);}}\n//--> \n</script>\n''')\n CntlrQuickBooks.qbRequestStatus.pop(ticket)\n \n instanceUuid = CntlrQuickBooks.xbrlInstances[ticket]\n CntlrQuickBooks.xbrlInstances.pop(ticket)\n options = Options()\n setattr(options, \"entrypointFile\", instanceUuid)\n viewFile = FileNamedStringIO(media)\n setattr(options, \"factsFile\", viewFile)\n return runOptionsAndGetResult(options, media, viewFile)", "metadata": "root.quickbooksGLresponse", "header": "['module', '___EOS___']", "index": 436 } ]
[ { "span": "requestPathParts ", "start_line": 274, "start_column": 4, "end_line": 274, "end_column": 20 }, { "span": "viewRequested ", "start_line": 444, "start_column": 4, "end_line": 444, "end_column": 17 } ]
[]
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Unused import
danirus/django-wysihtml5/wysihtml5/tests/widgets.py
[ { "content": "#-*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom bs4 import BeautifulSoup, NavigableString\n\nfrom django.forms.models import modelform_factory\nfrom django.test import TestCase as DjangoTestCase\nfrom django.utils.html import conditional_escape\n\nfrom wysihtml5.tests.models import ModelTest\nfrom wysihtml5.widgets import (Wysihtml5TextareaWidget,\n render_cmd_icon, render_cmd_dialog)\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Wysihtml5ToolbarTestCase(DjangoTestCase):\n\n", "metadata": "root.Wysihtml5ToolbarTestCase", "header": "['module', '___EOS___']", "index": 14 }, { "content": " def setUp(self):\n ModelForm = modelform_factory(ModelTest)\n # self.soup = BeautifulSoup(unicode(ModelForm()))\n self.soup = BeautifulSoup(ModelForm().__str__())", "metadata": "root.Wysihtml5ToolbarTestCase.setUp", "header": "['class', 'Wysihtml5ToolbarTestCase', '(', 'DjangoTestCase', ')', ':', '___EOS___']", "index": 15 }, { "content": " def test_command_disabled_in_settings(self): \n # check an active command and the disabled one\n cmd_format_block = self.soup.find('span', attrs={\n 'data-wysihtml5-command-group': 'formatBlock'})\n cmd_fore_color = self.soup.find('span', attrs={\n 'data-wysihtml5-command-group': 'foreColor'})\n self.assert_(cmd_format_block != None)\n self.assert_(cmd_fore_color == None) # tests.settings disabled", "metadata": "root.Wysihtml5ToolbarTestCase.test_command_disabled_in_settings", "header": "['class', 'Wysihtml5ToolbarTestCase', '(', 'DjangoTestCase', ')', ':', '___EOS___']", "index": 20 }, { "content": " def test_dialog_disabled_in_settings(self): \n # check the active dialog and the disabled one\n dialog_insert_image = self.soup.find('div', attrs={\n 'data-wysihtml5-dialog': 'insertImage'})\n dialog_create_link = self.soup.find('span', attrs={\n 'data-wysihtml5-dialog': 'createLink'})\n self.assert_(dialog_insert_image != None)\n self.assert_(dialog_create_link == None) # tests.settings disabled", "metadata": "root.Wysihtml5ToolbarTestCase.test_dialog_disabled_in_settings", "header": "['class', 'Wysihtml5ToolbarTestCase', '(', 'DjangoTestCase', ')', ':', '___EOS___']", "index": 29 }, { "content": "class Wysihtml5TextareaWidgetTestCase(DjangoTestCase):", "metadata": "root.Wysihtml5TextareaWidgetTestCase", "header": "['module', '___EOS___']", "index": 39 }, { "content": " def test_render_wysihtml5admintextarea_widget(self):\n neilmsg = ModelTest.objects.create(\n first_text=\"One small step for man\", \n second_text=\"One giant leap for mankind\")\n w = Wysihtml5TextareaWidget()\n rendered = conditional_escape(w.render(\"test\", neilmsg.second_text))\n expected = '\\\n<div style=\"display:inline-block\"><div id=\"unknown-toolbar\" class=\"wysihtml5-editor-toolbar\">\\\n <div class=\"commands\">\\\n <span data-wysihtml5-command-group=\"formatBlock\" title=\"Format text header\" class=\"heading-selector\">\\\n <div>\\\n <span data-wysihtml5-command=\"formatBlock\" data-wysihtml5-command-value=\"h1\">H1</span>\\\n <span data-wysihtml5-command=\"formatBlock\" data-wysihtml5-command-value=\"h2\">H2</span>\\\n <span data-wysihtml5-command=\"formatBlock\" data-wysihtml5-command-value=\"h3\">H3</span>\\\n <span data-wysihtml5-command=\"formatBlock\" data-wysihtml5-command-value=\"h4\">H4</span>\\\n <span data-wysihtml5-command=\"formatBlock\" data-wysihtml5-command-value=\"h5\">H5</span>\\\n <span data-wysihtml5-command=\"formatBlock\" data-wysihtml5-command-value=\"h6\">H6</span>\\\n </div>\\\n </span>\\\n <span data-wysihtml5-command=\"formatBlock\" title=\"Make a paragraph block\" data-wysihtml5-command-value=\"p\" class=\"command format-block-p\"></span>\\\n <span data-wysihtml5-command=\"bold\" title=\"Make text bold (CTRL + B)\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"italic\" title=\"Make text italic (CTRL + I)\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"underline\" title=\"Underline text (CTRL + U)\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"justifyLeft\" title=\"Paragraph left justified\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"justifyCenter\" title=\"Paragraph center justified\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"justifyRight\" title=\"Paragraph right justified\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"insertOrderedList\" title=\"Insert an ordered list\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"insertUnorderedList\" title=\"Insert an unordered list\" class=\"command\"></span>\\\n <span data-wysihtml5-command=\"insertImage\" title=\"Insert an image\" class=\"command insert-image\"></span>\\\n <span data-wysihtml5-command=\"insertHTML\" title=\"Insert a quote\" class=\"command\" data-wysihtml5-command-value=\"<blockquote>quote</blockquote>\"></span>\\\n <span data-wysihtml5-action=\"change_view\" title=\"Show HTML\" class=\"action\" unselectable=\"on\"></span>\\\n </div>\\\n <div class=\"wysihtml5-dialogs\">\\\n <div data-wysihtml5-dialog=\"insertImage\" style=\"display:none\"> <label>Image:</label>&nbsp; <input data-wysihtml5-dialog-field=\"src\" value=\"http://\"> <a data-wysihtml5-dialog-action=\"save\" class=\"button\">Ok</a>&nbsp; <a data-wysihtml5-dialog-action=\"cancel\" class=\"button\">Cancel</a></div> </div></div><textarea rows=\"25\" cols=\"40\" name=\"test\" class=\"vLargeTextField\">One giant leap for mankind</textarea></div>\\\n<script>\\\nnew wysihtml5.Editor(\"unknown\",{ name: null, style: true, toolbar: \"unknown-toolbar\", autoLink: true, parserRules: wysihtml5ParserRules, parser: wysihtml5.dom.parse || Prototype.K, composerClassName: \"wysihtml5-editor\", bodyClassName: \"wysihtml5-supported\", useLineBreaks: true, stylesheets: [\"/static/wysihtml5/css/stylesheet.css\"], placeholderText: null, allowObjectResizing: true, supportTouchDevices: true });\\\n</script>'\n self.maxDiff = None\n self.assertHTMLEqual(expected, rendered)", "metadata": "root.Wysihtml5TextareaWidgetTestCase.test_render_wysihtml5admintextarea_widget", "header": "['class', 'Wysihtml5TextareaWidgetTestCase', '(', 'DjangoTestCase', ')', ':', '___EOS___']", "index": 40 } ]
[ { "span": "from bs4 import BeautifulSoup, NavigableString", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 46 }, { "span": "from wysihtml5.widgets import (Wysihtml5TextareaWidget,\n render_cmd_icon, render_cmd_dialog)", "start_line": 10, "start_column": 0, "end_line": 11, "end_column": 66 } ]
[]
1
false
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Comparison of constants
skyostil/tracy/src/generator/Cheetah/ImportManager.py
[ { "content": "#!/usr/bin/env python\n# $Id: ImportManager.py,v 1.1 2006-09-06 09:50:08 skyostil Exp $\n\n\"\"\"Provides an emulator/replacement for Python's standard import system.\n\n@@TR: Be warned that Import Hooks are in the deepest, darkest corner of Python's\njungle. If you need to start hacking with this, be prepared to get lost for a\nwhile. Also note, this module predates the newstyle import hooks in Python 2.3\nhttp://www.python.org/peps/pep-0302.html. \n\n\nThis is a hacked/documented version of Gordon McMillan's iu.py. I have:\n\n - made it a little less terse\n\n - added docstrings and explanatations\n\n - standardized the variable naming scheme\n\n - reorganized the code layout to enhance readability\n\nMeta-Data\n================================================================================\nAuthor: Tavis Rudd <[email protected]> based on Gordon McMillan's iu.py\nLicense: This software is released for unlimited distribution under the\n terms of the MIT license. See the LICENSE file.\nVersion: $Revision: 1.1 $\nStart Date: 2001/03/30\nLast Revision Date: $Date: 2006-09-06 09:50:08 $\n\"\"\" \n__author__ = \"Tavis Rudd <[email protected]>\"\n__revision__ = \"$Revision: 1.1 $\"[11:-2]\n\n##################################################\n## DEPENDENCIES\n\nimport sys\nimport imp\nimport marshal\n\n##################################################\n## CONSTANTS & GLOBALS\n\ntry:\n True,False\nexcept NameError:\n True, False = (1==1),(1==0)\n\n_installed = False\n\nSTRINGTYPE = type('')\n\n# _globalOwnerTypes is defined at the bottom of this file\n\n_os_stat = _os_path_join = _os_getcwd = _os_path_dirname = None\n\n##################################################\n## FUNCTIONS\n\n \n_os_bootstrap()\n\n\n\n\n\n\n##################################################\n## CLASSES\n\n \n\n\n\n\n\n\n \n\n#=================ImportManager============================#\n# The one-and-only ImportManager\n# ie, the builtin import\n\nUNTRIED = -1\n\n## print \"_release releasing lock!\"\n\n\n##################################################\n## MORE CONSTANTS & GLOBALS\n\n_globalOwnerTypes = [\n DirOwner,\n Owner,\n]\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]
[ { "span": "1==1)", "start_line": 46, "start_column": 19, "end_line": 46, "end_column": 23 }, { "span": "1==0)", "start_line": 46, "start_column": 26, "end_line": 46, "end_column": 30 } ]
[]
1
true
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Imprecise assert
marionmari/pyGPs/pyGPs/Testing/unit_test_model.py
[ { "content": " def checkRegressionOutput(self, model):\n nn,D = self.zr.shape\n self.assertTrue(model.ym.shape == (nn,1))\n self.assertTrue(model.ys2.shape == (nn,1))\n self.assertTrue(model.fm.shape == (nn,1))\n self.assertTrue(model.fs2.shape == (nn,1))", "metadata": "root.ModelTests.checkRegressionOutput", "header": "['class', 'ModelTests', '(', 'unittest', '.', 'TestCase', ')', ':', '___NEWLINE___', '# note!!', '___NL___', '# due to completely random data(which may not make sense for gp in some cases),', '___NL___', '# it will rasis error sometimes(failed too much times in multiple-start optimizations)', '___NL___', '# therefore we construct toy data reasonably as memtioned in GPML book', '___NL___', '___EOS___']", "index": 42 }, { "content": " def checkClassificationOutput(self, model):\n nn,D = self.zc.shape\n self.assertTrue(model.ym.shape == (nn,1))\n self.assertTrue(model.ys2.shape == (nn,1))\n self.assertTrue(model.fm.shape == (nn,1))\n self.assertTrue(model.fs2.shape == (nn,1))", "metadata": "root.ModelTests.checkClassificationOutput", "header": "['class', 'ModelTests', '(', 'unittest', '.', 'TestCase', ')', ':', '___NEWLINE___', '# note!!', '___NL___', '# due to completely random data(which may not make sense for gp in some cases),', '___NL___', '# it will rasis error sometimes(failed too much times in multiple-start optimizations)', '___NL___', '# therefore we construct toy data reasonably as memtioned in GPML book', '___NL___', '___EOS___']", "index": 50 } ]
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[]
1
true
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