import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class 			UpperCAmelCase__    (		snake_case					):



  """simple docstring"""






  def 	_UpperCAmelCase				(				self:			Union[str, Any]				,				__lowerCAmelCase:			str   ) -> str:




    '''simple docstring'''




    with open(__lowerCAmelCase				,				encoding="utf-8"   ) as input_file:
      __UpperCAmelCase						    =       re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"   )
      __UpperCAmelCase						    =       input_file.read()
      __UpperCAmelCase						    =       regexp.search(__lowerCAmelCase   )

    return match






  def 	_UpperCAmelCase				(				self:			Union[str, Any]				,				__lowerCAmelCase:			str   ) -> Optional[Any]:




    '''simple docstring'''




    with open(__lowerCAmelCase				,				encoding="utf-8"   ) as input_file:
      __UpperCAmelCase						    =       re.compile(r"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"				,				re.DOTALL   )
      __UpperCAmelCase						    =       input_file.read()
      # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
      __UpperCAmelCase						    =       regexp.finditer(__lowerCAmelCase   )

    __UpperCAmelCase						    =       [match for match in matches if match is not None and match.group(1   ) is not None]
    return matches[0] if matches else None






  def 	_UpperCAmelCase				(				self:			List[Any]   ) -> Optional[int]:




    '''simple docstring'''




    __UpperCAmelCase						    =       Path("./datasets"   )
    __UpperCAmelCase						    =       list(dataset_paths.absolute().glob("**/*.py"   )   )

    for dataset in dataset_files:
      if self._no_encoding_on_file_open(str(__lowerCAmelCase   )   ):
        raise AssertionError(F'''open(...) must use utf-8 encoding in {dataset}'''   )






  def 	_UpperCAmelCase				(				self:			List[str]   ) -> Any:




    '''simple docstring'''




    __UpperCAmelCase						    =       Path("./datasets"   )
    __UpperCAmelCase						    =       list(dataset_paths.absolute().glob("**/*.py"   )   )

    for dataset in dataset_files:
      if self._no_print_statements(str(__lowerCAmelCase   )   ):
        raise AssertionError(F'''print statement found in {dataset}. Use datasets.logger/logging instead.'''   )




from ..utils import DummyObject, requires_backends


class 			UpperCAmelCase__    (		metaclass=snake_case					):



  """simple docstring"""






  lowerCAmelCase__		:	List[str]    		= ['transformers', 'torch', 'note_seq']






  def __init__(				self:			List[str]				,				*__lowerCAmelCase:			Optional[int]				,				**__lowerCAmelCase:			List[Any]   ) -> Optional[int]:




    '''simple docstring'''




    requires_backends(self				,				["transformers", "torch", "note_seq"]   )






  @classmethod
  def 	_UpperCAmelCase				(				cls:			Optional[int]				,				*__lowerCAmelCase:			Any				,				**__lowerCAmelCase:			List[str]   ) -> Dict:




    '''simple docstring'''




    requires_backends(cls				,				["transformers", "torch", "note_seq"]   )






  @classmethod
  def 	_UpperCAmelCase				(				cls:			Union[str, Any]				,				*__lowerCAmelCase:			Optional[Any]				,				**__lowerCAmelCase:			Optional[Any]   ) -> Any:




    '''simple docstring'''




    requires_backends(cls				,				["transformers", "torch", "note_seq"]   )



