

import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class 				a  (	UpperCAmelCase				):


						def        _UpperCAmelCase				(       self						,					A_	):







										'''simple docstring'''


										with open(A_						,					encoding="utf-8"	) as input_file:
														_UpperCAmelCase       :		Tuple 		=    re.compile(R"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"	)
														_UpperCAmelCase       :		Optional[int] 		=    input_file.read()
														_UpperCAmelCase       :		Any 		=    regexp.search(A_	)

										return match


						def        _UpperCAmelCase				(       self						,					A_	):







										'''simple docstring'''


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

										_UpperCAmelCase       :		Union[str, Any] 		=    [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	):







										'''simple docstring'''


										_UpperCAmelCase       :		Optional[int] 		=    Path("./datasets"	)
										_UpperCAmelCase       :		Optional[Any] 		=    list(dataset_paths.absolute().glob("**/*.py"	)	)

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





						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		List[str] 		=    Path("./datasets"	)
										_UpperCAmelCase       :		int 		=    list(dataset_paths.absolute().glob("**/*.py"	)	)

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





import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

class 				a  (	UpperCAmelCase				):


						def __init__(       self						,					*A_						,					**A_	):







										'''simple docstring'''


										warnings.warn(
										    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use PerceiverImageProcessor instead."						,					A_						,					)
										super().__init__(*A_						,					**A_	)


