






"""simple docstring"""


def    lowerCAmelCase							(       __UpperCamelCase						,			__UpperCamelCase					):




  """simple docstring"""







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



def    lowerCAmelCase							(       __UpperCamelCase					):




  """simple docstring"""







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



def    lowerCAmelCase							(       __UpperCamelCase					):




  """simple docstring"""







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



def    lowerCAmelCase							(       __UpperCamelCase					):




  """simple docstring"""







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



def    lowerCAmelCase							(       ):




  """simple docstring"""







  for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
    __A		     =					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(__UpperCamelCase					)} and using bruteforce is '
        f'{nth_fibonacci_bruteforce(__UpperCamelCase					)}\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()







import warnings

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


lowercase_									=    logging.get_logger(__name__)


class 					A		(				_UpperCAmelCase					):







    """simple docstring"""





    def __init__( self					:			str,*lowercase_					:			List[Any],**lowercase_					:			Dict						)->       None:





        '''simple docstring'''







        warnings.warn(
            'The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use MobileNetV1ImageProcessor instead.',lowercase_,)
        super().__init__(*lowercase_,**lowercase_						)

