


import re
from pathlib import Path
from unittest import TestCase

import pytest


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

							def       lowerCamelCase_ (							self:	Dict    ,						UpperCamelCase_:	str							)			->   List[str]:





									"""simple docstring"""







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

									return match

							def       lowerCamelCase_ (							self:	List[str]    ,						UpperCamelCase_:	str							)			->   List[str]:





									"""simple docstring"""







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

									lowercase__            =      [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       lowerCamelCase_ (							self:	List[Any]							)			->   int:





									"""simple docstring"""







									lowercase__            =      Path('''./datasets'''							)
									lowercase__            =      list(dataset_paths.absolute().glob('''**/*.py'''							)							)

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


							def       lowerCamelCase_ (							self:	Any							)			->   str:





									"""simple docstring"""







									lowercase__            =      Path('''./datasets'''							)
									lowercase__            =      list(dataset_paths.absolute().glob('''**/*.py'''							)							)

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






from ..utils import DummyObject, requires_backends


class        _a							(			metaclass=UpperCamelCase__			):
							_lowercase	:			Any        = ['''torch''', '''scipy''']

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





									"""simple docstring"""







									requires_backends(self    ,						['''torch''', '''scipy''']							)

							@classmethod
							def       lowerCamelCase_ (							cls:	Optional[int]    ,						*UpperCamelCase_:	Any    ,						**UpperCamelCase_:	List[Any]							)			->   int:





									"""simple docstring"""







									requires_backends(cls    ,						['''torch''', '''scipy''']							)


							@classmethod
							def       lowerCamelCase_ (							cls:	Any    ,						*UpperCamelCase_:	Any    ,						**UpperCamelCase_:	Dict							)			->   Optional[int]:





									"""simple docstring"""







									requires_backends(cls    ,						['''torch''', '''scipy''']							)


