
"""simple docstring"""




import re
from pathlib import Path
from unittest import TestCase

import pytest







@pytest.mark.integration
class     lowercase(a_       ):



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     Any:







         """simple docstring"""



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

         return match



     def 			lowercase__  (							self     ,				__SCREAMING_SNAKE_CASE   )		->     Any:







         """simple docstring"""



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

         a__		=			[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 			lowercase__  (							self   )		->     Optional[int]:







         """simple docstring"""



         a__		=			Path('./datasets'   )
         a__		=			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 			lowercase__  (							self   )		->     Optional[int]:







         """simple docstring"""



         a__		=			Path('./datasets'   )
         a__		=			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 typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


UpperCAmelCase__  			=				{
    '''configuration_trocr''': ['''TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TrOCRConfig'''],
    '''processing_trocr''': ['''TrOCRProcessor'''],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__  			=				[
					    '''TROCR_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TrOCRForCausalLM''',
					    '''TrOCRPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
					from .processing_trocr import TrOCRProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
					import sys

					UpperCAmelCase__  			=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



