


'''simple docstring'''






import re
from pathlib import Path
from unittest import TestCase

import pytest




@pytest.mark.integration
class 						a__							(				a__    ):





							'''simple docstring'''






							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Union[str, Any]:

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

														return match







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				List[Any]:

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

														lowerCAmelCase__			  =      [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     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[Any]:
														lowerCAmelCase__			  =      Path('''./datasets'''  )
														lowerCAmelCase__			  =      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     __SCREAMING_SNAKE_CASE				(						self  )			->				Any:
														lowerCAmelCase__			  =      Path('''./datasets'''  )
														lowerCAmelCase__			  =      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."""  )





'''simple docstring'''

from ....utils import logging


a    :							Optional[int]										=    logging.get_logger(__name__)






class 		a							(  _lowerCamelCase	):


				def __init__(						self       :   int			,							lowercase_       :   Tuple			,							lowercase_       :   Any=None			,							lowercase_       :   List[Any]=2048   ):
									snake_case_		     =							config.__dict__
									snake_case_		     =							modal_hidden_size
									if num_labels:
														snake_case_		     =							num_labels

