




'''simple docstring'''

def    snake_case__     (  a       ,      a	)			->       list[list[int]]:





			'''simple docstring'''






			snake_case__          =						[]
			snake_case__          =						len(a	)
			for i in range(a	):
						snake_case__          =						[]
						for j in range(a	):
									snake_case__          =						0
									for k in range(a	):
												snake_case__          =						val + matrix_a[i][k] * matrix_b[k][j]
									list_a.append(a	)
						matrix_c.append(a	)
			return matrix_c




def    snake_case__     (  a	)			->       list[list[int]]:





			'''simple docstring'''






			return [[int(row == column	) for column in range(a	)] for row in range(a	)]




def    snake_case__     (  a	)			->       int:





			'''simple docstring'''






			if n <= 1:
						return n
			snake_case__          =						identity(2	)
			snake_case__          =						[[1, 1], [1, 0]]
			snake_case__          =						n - 1
			while n > 0:
						if n % 2 == 1:
									snake_case__          =						multiply(a       ,      a	)
						snake_case__          =						multiply(a       ,      a	)
						snake_case__          =						int(n / 2	)
			return res_matrix[0][0]




def    snake_case__     (  a	)			->       int:





			'''simple docstring'''






			if n <= 1:
						return n
			snake_case__          =						0
			snake_case__          =						1
			for _ in range(2       ,      n + 1	):
						snake_case__    ,			snake_case__          =						fiba, fiba + fiba
			return fiba




def    snake_case__     (  )			->       None:





			'''simple docstring'''






			for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
						snake_case__          =						int("""""".join(c for c in ordinal if c in """0123456789"""	)	)  # 1000th --> 1000
						print(
						    F"""{ordinal} fibonacci number using matrix exponentiation is """
						    F"""{nth_fibonacci_matrix(a	)} and using bruteforce is """
						    F"""{nth_fibonacci_bruteforce(a	)}\n"""	)
			# from timeit import timeit
			# print(timeit("nth_fibonacci_matrix(1000000)",
			#              "from main import nth_fibonacci_matrix", number=5))
			# print(timeit("nth_fibonacci_bruteforce(1000000)",
			#              "from main import nth_fibonacci_bruteforce", number=5))
			# 2.3342058970001744
			# 57.256506615000035


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()





'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


a__         =     logging.get_logger(__name__)





class __magic_name__(						__lowerCAmelCase      ):






						def __init__(   self						:						List[str]					,   *__UpperCamelCase						:						Tuple					,   **__UpperCamelCase						:						Tuple       ):



									'''simple docstring'''






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