




"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


UpperCamelCase__ :    Tuple 					=							logging.get_logger(__name__)
class     A__      (      UpperCamelCase__     ):




	def __init__(   self  :	List[Any]      ,    *lowercase  :	Optional[int]      ,    **lowercase  :	Tuple	)					-> None:
						warnings.warn(
						    """The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
						    """ Please use MobileNetV1ImageProcessor instead."""      ,    lowerCAmelCase__      ,    )
						super().__init__(*lowerCAmelCase__      ,    **lowerCAmelCase__	)








"""simple docstring"""

from functools import lru_cache




@lru_cache
def       snake_case__	(       lowerCAmelCase   :		int		):
					if not isinstance(lowerCAmelCase				,					lowerCAmelCase		):
										raise TypeError("""k must be an integer."""		)
					if k < 0:
										raise ValueError("""k integer must be greater or equal to zero."""		)
					if k == 0:
										return 0
					elif k == 1:
										return 1
					else:
										return fibonacci(k - 1		) + fibonacci(k - 2		)




def       snake_case__	(       lowerCAmelCase   :		list				,					lowerCAmelCase   :		int		):
					__snake_case          =	len(lowerCAmelCase		)
					# Find m such that F_m >= n where F_i is the i_th fibonacci number.
					__snake_case          =	0
					while True:
										if fibonacci(lowerCAmelCase		) >= len_list:
															__snake_case          =	i
															break
										i += 1
					__snake_case          =	0
					while fibb_k > 0:
										__snake_case          =	min(
										    offset + fibonacci(fibb_k - 1		)				,					len_list - 1		)  # Prevent out of range
										__snake_case          =	arr[index_k]
										if item_k_1 == val:
															return index_k
										elif val < item_k_1:
															fibb_k -= 1
										elif val > item_k_1:
															offset += fibonacci(fibb_k - 1		)
															fibb_k -= 2
					else:
										return -1


if __name__ == "__main__":
		import doctest

		doctest.testmod()


