






import re
from pathlib import Path
from unittest import TestCase

import pytest





@pytest.mark.integration
class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







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

							return match

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







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

							_UpperCAmelCase									=			[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									=			Path('./datasets'    )
							_UpperCAmelCase									=			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        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			Path('./datasets'    )
							_UpperCAmelCase									=			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 __future__ import annotations


def __A    (      __lowerCAmelCase	)->  list[int]:





						"""simple docstring"""



						_UpperCAmelCase									=			2
						_UpperCAmelCase									=			[]
						while i * i <= n:
												if n % i:
																		i += 1
												else:
																		n //= i
																		factors.append(__lowerCAmelCase	)
						if n > 1:
												factors.append(__lowerCAmelCase	)
						return factors


if __name__ == "__main__":
		import doctest

		doctest.testmod()
