




import re
from pathlib import Path
from unittest import TestCase

import pytest




@pytest.mark.integration
class 		__A      (			UpperCamelCase__			):

						def     A__						(		self   :Tuple    , __snake_case   :str ):
										'''simple docstring'''

										with open(__snake_case    , encoding="""utf-8""" ) as input_file:
														__magic_name__	:	str								=re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)""" )
														__magic_name__	:	str								=input_file.read()
														__magic_name__	:	List[Any]								=regexp.search(__snake_case )

										return match

						def     A__						(		self   :List[Any]    , __snake_case   :str ):
										'''simple docstring'''

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

										__magic_name__	:	Tuple								=[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     A__						(		self   :List[Any] ):
										'''simple docstring'''

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

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


						def     A__						(		self   :Optional[Any] ):
										'''simple docstring'''

										__magic_name__	:	Dict								=Path("""./datasets""" )
										__magic_name__	:	str								=list(dataset_paths.absolute().glob("""**/*.py""" ) )

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










import pytest

import datasets


# Import fixture modules as plugins
UpperCAmelCase_		:				Union[str, Any]									=     ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
				for item in items:
								if any(marker in item.keywords for marker in ["""integration""", """unit"""]   ):
												continue
								item.add_marker(pytest.mark.unit   )




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				config.addinivalue_line("""markers"""	,     """torchaudio_latest: mark test to run with torchaudio>=0.12"""   )




@pytest.fixture(autouse=lowerCamelCase   )
def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
				__magic_name__	:	Tuple								=tmp_path_factory.getbasetemp() / """cache"""
				__magic_name__	:	Optional[int]								=test_hf_cache_home / """datasets"""
				__magic_name__	:	List[str]								=test_hf_cache_home / """metrics"""
				__magic_name__	:	List[str]								=test_hf_cache_home / """modules"""
				monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""	,     str(lowerCamelCase   )   )
				monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""	,     str(lowerCamelCase   )   )
				monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""	,     str(lowerCamelCase   )   )
				__magic_name__	:	Optional[Any]								=test_hf_datasets_cache / """downloads"""
				monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""	,     str(lowerCamelCase   )   )
				__magic_name__	:	Tuple								=test_hf_datasets_cache / """downloads""" / """extracted"""
				monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""	,     str(lowerCamelCase   )   )




@pytest.fixture(autouse=lowerCamelCase	,     scope="""session"""   )
def 		lowerCAmelCase_   (	):
				datasets.disable_progress_bar()




@pytest.fixture(autouse=lowerCamelCase   )
def 		lowerCAmelCase_   (	lowerCamelCase   ):
				# don't take tests into account when counting downloads
				monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""	,     lowerCamelCase   )




@pytest.fixture
def 		lowerCAmelCase_   (	lowerCamelCase   ):
				# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
				# To be removed once SQLAlchemy 2.0 supported
				monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""	,     lowerCamelCase   )




