

"""simple docstring"""



def 			_snake_case  (     UpperCAmelCase_	:       list[list[int]]       , UpperCAmelCase_	:       list[list[int]]      ):
     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 			_snake_case  (     UpperCAmelCase_	:       int      ):
     return [[int(row == column      ) for column in range(UpperCAmelCase_      )] for row in range(UpperCAmelCase_      )]





def 			_snake_case  (     UpperCAmelCase_	:       int      ):
     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 			_snake_case  (     UpperCAmelCase_	:       int      ):
     if n <= 1:
          return n
     A__				      =	0
     A__				      =	1
     for _ in range(2       , n + 1      ):
          A__      ,					A__				      =	fiba, fiba + fiba
     return fiba





def 			_snake_case  (     ):
     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()









"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_       :						Union[str, Any]					=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_       :						Union[str, Any]					=    {
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}



class        a    (							_lowerCamelCase					):



    """simple docstring"""



    UpperCAmelCase    			=       "swiftformer"

    def __init__(  self:			Tuple     ,    UpperCamelCase:			int=3     ,    UpperCamelCase:			Union[str, Any]=[3, 3, 6, 4]     ,    UpperCamelCase:			List[str]=[48, 56, 1_12, 2_20]     ,    UpperCamelCase:			List[Any]=4     ,    UpperCamelCase:			List[Any]=[True, True, True, True]     ,    UpperCamelCase:			str="gelu"     ,    UpperCamelCase:			Tuple=3     ,    UpperCamelCase:			Dict=2     ,    UpperCamelCase:			int=1     ,    UpperCamelCase:			List[Any]=0.0     ,    UpperCamelCase:			Any=True     ,    UpperCamelCase:			List[Any]=1e-5     ,    UpperCamelCase:			List[Any]=1e-5     ,    **UpperCamelCase:			Any     ,    ):






         """simple docstring"""


         super().__init__(**UpperCamelCase							)
         A__				      =	num_channels
         A__				      =	depths
         A__				      =	embed_dims
         A__				      =	mlp_ratio
         A__				      =	downsamples
         A__				      =	hidden_act
         A__				      =	down_patch_size
         A__				      =	down_stride
         A__				      =	down_pad
         A__				      =	drop_path_rate
         A__				      =	use_layer_scale
         A__				      =	layer_scale_init_value
         A__				      =	batch_norm_eps



class        a    (							_lowerCamelCase					):



    """simple docstring"""



    UpperCAmelCase    			=       version.parse("1.11"					)

    @property
    def 					UpperCamelCase						(  self:			int							):






         """simple docstring"""


         return OrderedDict(
             [
                 ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
             ]							)





    @property
    def 					UpperCamelCase						(  self:			Any							):






         """simple docstring"""


         return 1e-4






