




import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata

def       lowerCAmelCase_      (	lowerCamelCase:							str    )       ->      str:


      '''simple docstring'''




      lowerCamelCase__   	=					min(re.search('^ +'  ,					lowerCamelCase    ).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(lowerCamelCase    )]    )


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

Some cool dataset card
"""

__SCREAMING_SNAKE_CASE     : Tuple      ="""\
---
---
# Begin of markdown

Some cool dataset card
"""


__SCREAMING_SNAKE_CASE     : Union[str, Any]      ="""\
# Begin of markdown

Some cool dataset card
"""






class       A      (		unittest.TestCase		):
     """simple docstring"""

     def 			__snake_case (     self	: Tuple      )					->							str:
           with tempfile.TemporaryDirectory() as tmp_dir:
                 lowerCamelCase__   	=					Path(A__      ) / 'README.md'
                 with open(A__						,	'w+'      ) as readme_file:
                       readme_file.write(A__      )
                 lowerCamelCase__   	=					DatasetMetadata.from_readme(A__      )
                 self.assertDictEqual(A__						,	{'language': ['zh', 'en'], 'task_ids': ['sentiment-classification']}      )

                 with open(A__						,	'w+'      ) as readme_file:
                       readme_file.write(A__      )
                 lowerCamelCase__   	=					DatasetMetadata.from_readme(A__      )
                 self.assertDictEqual(A__						,	{}      )

                 with open(A__						,	'w+'      ) as readme_file:
                       readme_file.write(A__      )
                 lowerCamelCase__   	=					DatasetMetadata.from_readme(A__      )
                 self.assertEqual(A__						,	{}      )




     def 			__snake_case (     self	: List[Any]      )					->							Any:
           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(A__      )

           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(A__      ):
                 DatasetMetadata.from_yaml_string(A__      )

           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(A__      )





def       lowerCAmelCase_      (	lowerCamelCase:							str    )       ->      int:


      '''simple docstring'''




      lowerCamelCase__   	=					str(lowerCamelCase    ).strip()
      if not bin_string:
            raise ValueError('Empty string was passed to the function'    )
      lowerCamelCase__   	=					bin_string[0] == '-'
      if is_negative:
            lowerCamelCase__   	=					bin_string[1:]
      if not all(char in '01' for char in bin_string    ):
            raise ValueError('Non-binary value was passed to the function'    )
      lowerCamelCase__   	=					0
      for char in bin_string:
            lowerCamelCase__   	=					2 * decimal_number + int(lowerCamelCase    )
      return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
      from doctest import testmod

      testmod()