"""simple docstring"""




from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_tf_available():
				import tensorflow as tf


__lowerCamelCase											=  logging.get_logger(__name__)
@dataclass
class     UpperCamelCase__(			__A ):
						lowerCAmelCase__  :						int													=		[
						    'no_inference',
						    'no_cuda',
						    'no_tpu',
						    'no_speed',
						    'no_memory',
						    'no_env_print',
						    'no_multi_process',
						]





						def __init__(       self		,**__UpperCAmelCase     )					->				List[Any]:
													for deprecated_arg in self.deprecated_args:
																				if deprecated_arg in kwargs:
																											A__	     =							deprecated_arg[3:]
																											A__	     =							not kwargs.pop(__UpperCAmelCase     )
																											logger.warning(
																											    f'''{deprecated_arg} is depreciated. Please use --no-{positive_arg} or'''
																											    f''' {positive_arg}={kwargs[positive_arg]}'''     )
													A__	     =							kwargs.pop('tpu_name'		,self.tpu_name     )
													A__	     =							kwargs.pop('device_idx'		,self.device_idx     )
													A__	     =							kwargs.pop('eager_mode'		,self.eager_mode     )
													A__	     =							kwargs.pop('use_xla'		,self.use_xla     )
													super().__init__(**__UpperCAmelCase     )

						lowerCAmelCase__  :						str													=		field(
						    default=__A		,						metadata={'help': 'Name of TPU'}		,						)
						lowerCAmelCase__  :						int													=		field(
						    default=0		,						metadata={'help': 'CPU / GPU device index. Defaults to 0.'}		,						)
						lowerCAmelCase__  :						bool													=		field(default=__A		,						metadata={'help': 'Benchmark models in eager model.'} )
						lowerCAmelCase__  :						bool													=		field(
						    default=__A		,						metadata={
						        'help': 'Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`.'
						    }		,						)





						@cached_property
						def 				snake_case__	(       self     )					->				Tuple["tf.distribute.cluster_resolver.TPUClusterResolver"]:
													requires_backends(self		,['tf']     )
													A__	     =							None
													if self.tpu:
																				try:
																											if self.tpu_name:
																																		A__	     =							tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name     )
																											else:
																																		A__	     =							tf.distribute.cluster_resolver.TPUClusterResolver()
																				except ValueError:
																											A__	     =							None
													return tpu





						@cached_property
						def 				snake_case__	(       self     )					->				Tuple["tf.distribute.Strategy", "tf.distribute.cluster_resolver.TPUClusterResolver"]:
													requires_backends(self		,['tf']     )
													if self.is_tpu:
																				tf.config.experimental_connect_to_cluster(self._setup_tpu     )
																				tf.tpu.experimental.initialize_tpu_system(self._setup_tpu     )

																				A__	     =							tf.distribute.TPUStrategy(self._setup_tpu     )
													else:
																				# currently no multi gpu is allowed
																				if self.is_gpu:
																											# TODO: Currently only single GPU is supported
																											tf.config.set_visible_devices(self.gpu_list[self.device_idx]		,'GPU'     )
																											A__	     =							tf.distribute.OneDeviceStrategy(device=f'''/gpu:{self.device_idx}'''     )
																				else:
																											tf.config.set_visible_devices([]		,'GPU'     )  # disable GPU
																											A__	     =							tf.distribute.OneDeviceStrategy(device=f'''/cpu:{self.device_idx}'''     )

													return strategy





						@property
						def 				snake_case__	(       self     )					->				bool:
													requires_backends(self		,['tf']     )
													return self._setup_tpu is not None





						@property
						def 				snake_case__	(       self     )					->				"tf.distribute.Strategy":
													requires_backends(self		,['tf']     )
													return self._setup_strategy





						@property
						def 				snake_case__	(       self     )					->				Any:
													requires_backends(self		,['tf']     )
													return tf.config.list_physical_devices('GPU'     )





						@property
						def 				snake_case__	(       self     )					->				int:
													requires_backends(self		,['tf']     )
													if self.cuda:
																				return len(self.gpu_list     )
													return 0





						@property
						def 				snake_case__	(       self     )					->				bool:
													return self.n_gpu > 0






"""simple docstring"""




import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

__lowerCamelCase											=  yaml.safe_load(
    "\\nname: \"\"\nallow_empty: false\nallow_empty_text: true\nsubsections:\n  - name: \"Dataset Card for X\" # First-level markdown heading\n    allow_empty: false\n    allow_empty_text: true\n    subsections:\n      - name: \"Table of Contents\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections: null\n      - name: \"Dataset Description\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections:\n          - name: \"Dataset Summary\"\n            allow_empty: false\n            allow_empty_text: false\n            subsections: null\n          - name: \"Supported Tasks and Leaderboards\"\n            allow_empty: true\n            allow_empty_text: true\n            subsections: null\n          - name: Languages\n            allow_empty: false\n            allow_empty_text: true\n            subsections: null\n"
)


__lowerCamelCase											=  {
    "name": "root",
    "text": "",
    "is_empty_text": True,
    "subsections": [
        {
            "name": "Dataset Card for My Dataset",
            "text": "",
            "is_empty_text": True,
            "subsections": [
                {"name": "Table of Contents", "text": "Some text here.", "is_empty_text": False, "subsections": []},
                {
                    "name": "Dataset Description",
                    "text": "Some text here.",
                    "is_empty_text": False,
                    "subsections": [
                        {
                            "name": "Dataset Summary",
                            "text": "Some text here.",
                            "is_empty_text": False,
                            "subsections": [],
                        },
                        {
                            "name": "Supported Tasks and Leaderboards",
                            "text": "",
                            "is_empty_text": True,
                            "subsections": [],
                        },
                        {"name": "Languages", "text": "Language Text", "is_empty_text": False, "subsections": []},
                    ],
                },
            ],
        }
    ],
}


__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"


__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n#### Extra Ignored Subsection\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  {
    "name": "root",
    "text": "",
    "is_empty_text": True,
    "subsections": [
        {
            "name": "Dataset Card for My Dataset",
            "text": "",
            "is_empty_text": True,
            "subsections": [
                {"name": "Table of Contents", "text": "Some text here.", "is_empty_text": False, "subsections": []},
                {
                    "name": "Dataset Description",
                    "text": "Some text here.",
                    "is_empty_text": False,
                    "subsections": [
                        {
                            "name": "Dataset Summary",
                            "text": "Some text here.",
                            "is_empty_text": False,
                            "subsections": [
                                {
                                    "name": "Extra Ignored Subsection",
                                    "text": "",
                                    "is_empty_text": True,
                                    "subsections": [],
                                }
                            ],
                        },
                        {
                            "name": "Supported Tasks and Leaderboards",
                            "text": "",
                            "is_empty_text": True,
                            "subsections": [],
                        },
                        {"name": "Languages", "text": "Language Text", "is_empty_text": False, "subsections": []},
                    ],
                },
            ],
        }
    ],
}

__lowerCamelCase											=  "\\n---\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  (
    "The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README."
)

__lowerCamelCase											=  "\\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  (
    "The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README."
)

__lowerCamelCase											=  "\\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README."

__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"
__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored)."


__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n"
__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found 'None'."

__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`."


__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\n"

__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty."

__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"
__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README."

__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n# Dataset Card My Dataset\n"

__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README."

__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README."

__lowerCamelCase											=  ""

__lowerCamelCase											=  "The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README."

__lowerCamelCase											=  "\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"

__lowerCamelCase											=  "The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections."






@pytest.mark.parametrize(
    'readme_md, expected_dict'       ,    [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							assert ReadMe.from_string(UpperCamelCase__       ,    UpperCamelCase__				).to_dict() == expected_dict






@pytest.mark.parametrize(
    'readme_md, expected_error'       ,    [
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							with pytest.raises(UpperCamelCase__       ,    match=re.escape(expected_error.format(path='root'				)				)				):
														A__	     =							ReadMe.from_string(UpperCamelCase__       ,    UpperCamelCase__				)
														readme.validate()






@pytest.mark.parametrize(
    'readme_md, expected_error'       ,    [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							with pytest.raises(UpperCamelCase__       ,    match=re.escape(expected_error.format(path='root'				)				)				):
														ReadMe.from_string(UpperCamelCase__       ,    UpperCamelCase__				)






@pytest.mark.parametrize(
    'readme_md,'       ,    [
        (README_MULTIPLE_SAME_HEADING_1),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							ReadMe.from_string(UpperCamelCase__       ,    UpperCamelCase__       ,    suppress_parsing_errors=UpperCamelCase__				)






@pytest.mark.parametrize(
    'readme_md, expected_dict'       ,    [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							with tempfile.TemporaryDirectory() as tmp_dir:
														A__	     =							Path(UpperCamelCase__				) / 'README.md'
														with open(UpperCamelCase__       ,    'w+'				) as readme_file:
																					readme_file.write(UpperCamelCase__				)
														A__	     =							ReadMe.from_readme(UpperCamelCase__       ,    UpperCamelCase__				).to_dict()
														assert out["name"] == path
														assert out["text"] == ""
														assert out["is_empty_text"]
														assert out["subsections"] == expected_dict["subsections"]






@pytest.mark.parametrize(
    'readme_md, expected_error'       ,    [
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							with tempfile.TemporaryDirectory() as tmp_dir:
														A__	     =							Path(UpperCamelCase__				) / 'README.md'
														with open(UpperCamelCase__       ,    'w+'				) as readme_file:
																					readme_file.write(UpperCamelCase__				)
														A__	     =							expected_error.format(path=UpperCamelCase__				)
														with pytest.raises(UpperCamelCase__       ,    match=re.escape(UpperCamelCase__				)				):
																					A__	     =							ReadMe.from_readme(UpperCamelCase__       ,    UpperCamelCase__				)
																					readme.validate()






@pytest.mark.parametrize(
    'readme_md, expected_error'       ,    [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							with tempfile.TemporaryDirectory() as tmp_dir:
														A__	     =							Path(UpperCamelCase__				) / 'README.md'
														with open(UpperCamelCase__       ,    'w+'				) as readme_file:
																					readme_file.write(UpperCamelCase__				)
														A__	     =							expected_error.format(path=UpperCamelCase__				)
														with pytest.raises(UpperCamelCase__       ,    match=re.escape(UpperCamelCase__				)				):
																					ReadMe.from_readme(UpperCamelCase__       ,    UpperCamelCase__				)






@pytest.mark.parametrize(
    'readme_md,'       ,    [
        (README_MULTIPLE_SAME_HEADING_1),
    ]       ,    )
def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							with tempfile.TemporaryDirectory() as tmp_dir:
														A__	     =							Path(UpperCamelCase__				) / 'README.md'
														with open(UpperCamelCase__       ,    'w+'				) as readme_file:
																					readme_file.write(UpperCamelCase__				)
														ReadMe.from_readme(UpperCamelCase__       ,    UpperCamelCase__       ,    suppress_parsing_errors=UpperCamelCase__				)





