


from maths.prime_factors import prime_factors





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	int:


						'''simple docstring'''






						if not isinstance(_lowerCAmelCase      ,	_lowerCAmelCase ):
												__snake_case				=		F'''Input value of [number={number}] must be an integer'''
												raise TypeError(_lowerCAmelCase )
						if number < 1:
												raise ValueError("Input must be a positive integer" )
						return -1 if len(prime_factors(_lowerCAmelCase ) ) % 2 else 1


if __name__ == "__main__":
	import doctest

	doctest.testmod()





import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


A							:					Any     						=     logging.get_logger(__name__)






class     UpperCamelCase(  _a   ):


					def __init__(						self	:		Optional[int]     ,    *SCREAMING_SNAKE_CASE	:		Tuple     ,    **SCREAMING_SNAKE_CASE	:		List[Any]						)			->	None:




											'''simple docstring'''

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





