




import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata







def       _a (		SCREAMING_SNAKE_CASE_				:							str	):
					__lowerCAmelCase							  =			min(re.search("^ +" , UpperCamelCase__	).end() if t.startswith(" "	) else 0 for t in string.splitlines()	)
					return "\n".join([line[indent_level:] for line in string.splitlines() if indent_level < len(UpperCamelCase__	)]	)


UpperCamelCase__            =     """\
---
language:
- zh
- en
task_ids:
- sentiment-classification
---
# Begin of markdown

Some cool dataset card
"""

UpperCamelCase__            =     """\
---
---
# Begin of markdown

Some cool dataset card
"""


UpperCamelCase__            =     """\
# Begin of markdown

Some cool dataset card
"""


class      a__       (   unittest.TestCase ):






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											with tempfile.TemporaryDirectory() as tmp_dir:
																__lowerCAmelCase							  =			Path(_UpperCAmelCase     ) / '''README.md'''
																with open(_UpperCAmelCase						,     "w+"     ) as readme_file:
																					readme_file.write(_UpperCAmelCase     )
																__lowerCAmelCase							  =			DatasetMetadata.from_readme(_UpperCAmelCase     )
																self.assertDictEqual(_UpperCAmelCase						,     {"language": ["zh", "en"], "task_ids": ["sentiment-classification"]}     )

																with open(_UpperCAmelCase						,     "w+"     ) as readme_file:
																					readme_file.write(_UpperCAmelCase     )
																__lowerCAmelCase							  =			DatasetMetadata.from_readme(_UpperCAmelCase     )
																self.assertDictEqual(_UpperCAmelCase						,     {}     )

																with open(_UpperCAmelCase						,     "w+"     ) as readme_file:
																					readme_file.write(_UpperCAmelCase     )
																__lowerCAmelCase							  =			DatasetMetadata.from_readme(_UpperCAmelCase     )
																self.assertEqual(_UpperCAmelCase						,     {}     )






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			_dedent(
											    "\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            "     )
											assert DatasetMetadata.from_yaml_string(_UpperCAmelCase     )

											__lowerCAmelCase							  =			_dedent(
											    "\\n            annotations_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            task_ids:\n            - open-domain-qa\n            "     )
											with self.assertRaises(_UpperCAmelCase     ):
																DatasetMetadata.from_yaml_string(_UpperCAmelCase     )

											__lowerCAmelCase							  =			_dedent(
											    "\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - text-classification\n            task_ids:\n            - multi-class-classification\n            paperswithcode_id:\n            - squad\n            configs:\n            - en\n            train-eval-index:\n            - config: en\n              task: text-classification\n              task_id: multi_class_classification\n              splits:\n                train_split: train\n                eval_split: test\n              col_mapping:\n                text: text\n                label: target\n              metrics:\n                - type: accuracy\n                  name: Accuracy\n            extra_gated_prompt: |\n              By clicking on “Access repository” below, you also agree to ImageNet Terms of Access:\n              [RESEARCHER_FULLNAME] (the \"Researcher\") has requested permission to use the ImageNet database (the \"Database\") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n              1. Researcher shall use the Database only for non-commercial research and educational purposes.\n            extra_gated_fields:\n              Company: text\n              Country: text\n              I agree to use this model for non-commerical use ONLY: checkbox\n            "     )
											assert DatasetMetadata.from_yaml_string(_UpperCAmelCase     )











'''simple docstring'''






import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def 				_lowerCamelCase(	UpperCamelCase__     :			Any		)		->	List[str]:
    return EnvironmentCommand()





class 	_lowercase    (				a					):


   @staticmethod
   def        snake_case					(			_UpperCAmelCase       ):
       A							:							List[str]				=    parser.add_parser('''env'''     , help='''Print relevant system environment info.'''       )
       download_parser.set_defaults(func=_UpperCAmelCase       )


   def        snake_case					(			self       ):
       A							:							Optional[int]				=    {
           '''`datasets` version''': version,
           '''Platform''': platform.platform(),
           '''Python version''': platform.python_version(),
           '''Huggingface_hub version''': huggingface_hub.__version__,
           '''PyArrow version''': pyarrow.__version__,
           '''Pandas version''': pandas.__version__,
       }

       print('''\nCopy-and-paste the text below in your GitHub issue.\n'''       )
       print(self.format_dict(_UpperCAmelCase       )       )

       return info


   @staticmethod
   def        snake_case					(			_UpperCAmelCase       ):
       return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]       ) + "\n"
