




def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       bool:
   snake_case				:    Union[str, Any]           =	len(lowercase					) + 1
   snake_case				:    List[Any]           =	len(lowercase					) + 1

   # dp is a 2d matrix where dp[i][j] denotes whether prefix string of
   # length i of input_string matches with prefix string of length j of
   # given pattern.
   # "dp" stands for dynamic programming.
   snake_case				:    List[str]           =	[[0 for i in range(lowercase					)] for j in range(lowercase					)]

   # since string of zero length match pattern of zero length
   snake_case				:    int           =	1

   # since pattern of zero length will never match with string of non-zero length
   for i in range(1						,lowercase					):
      snake_case				:    Union[str, Any]           =	0

   # since string of zero length will match with pattern where there
   # is at least one * alternatively
   for j in range(1						,lowercase					):
      snake_case				:    int           =	dp[0][j - 2] if pattern[j - 1] == """*""" else 0

   # now using bottom-up approach to find for all remaining lengths
   for i in range(1						,lowercase					):
      for j in range(1						,lowercase					):
         if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
            snake_case				:    int           =	dp[i - 1][j - 1]

         elif pattern[j - 1] == "*":
            if dp[i][j - 2] == 1:
               snake_case				:    Optional[int]           =	1
            elif pattern[j - 2] in (input_string[i - 1], "."):
               snake_case				:    Any           =	dp[i - 1][j]
            else:
               snake_case				:    Optional[Any]           =	0
         else:
            snake_case				:    Tuple           =	0

   return bool(dp[-1][-1]					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       # inputing the strings
       # input_string = input("input a string :")
       # pattern = input("input a pattern :")

       lowerCamelCase	:	Dict				=   'aab'
       lowerCamelCase	:	int				=   'c*a*b'

       # using function to check whether given string matches the given pattern
       if match_pattern(input_string, pattern):
              print(f"""{input_string} matches the given pattern {pattern}""")
       else:
              print(f"""{input_string} does not match with the given pattern {pattern}""")











from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase	:	Optional[int]				=   logging.get_logger(__name__)

lowerCamelCase	:	Tuple				=   {
    'snap-research/efficientformer-l1-300': (
        'https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'
    ),
}




class 						__lowercase		(UpperCamelCase__							):




      """simple docstring"""





      _snake_case												=						"""efficientformer"""

      def __init__(				self    ,				A = [3, 2, 6, 4]    ,				A = [4_8, 9_6, 2_2_4, 4_4_8]    ,				A = [True, True, True, True]    ,				A = 4_4_8    ,				A = 3_2    ,				A = 4    ,				A = 7    ,				A = 5    ,				A = 8    ,				A = 4    ,				A = 0.0    ,				A = 1_6    ,				A = 3    ,				A = 3    ,				A = 3    ,				A = 2    ,				A = 1    ,				A = 0.0    ,				A = 1    ,				A = True    ,				A = True    ,				A = 1e-5    ,				A = "gelu"    ,				A = 0.02    ,				A = 1e-1_2    ,				A = 2_2_4    ,				A = 1e-0_5    ,				**A    ,				)		->    None:
         super().__init__(**A     )

         snake_case				:    Dict           =	hidden_act
         snake_case				:    int           =	hidden_dropout_prob
         snake_case				:    Any           =	hidden_sizes
         snake_case				:    Optional[Any]           =	num_hidden_layers
         snake_case				:    List[Any]           =	num_attention_heads
         snake_case				:    List[Any]           =	initializer_range
         snake_case				:    str           =	layer_norm_eps
         snake_case				:    Dict           =	patch_size
         snake_case				:    Optional[int]           =	num_channels
         snake_case				:    int           =	depths
         snake_case				:    Optional[int]           =	mlp_expansion_ratio
         snake_case				:    Any           =	downsamples
         snake_case				:    Dict           =	dim
         snake_case				:    Optional[int]           =	key_dim
         snake_case				:    Union[str, Any]           =	attention_ratio
         snake_case				:    Any           =	resolution
         snake_case				:    Dict           =	pool_size
         snake_case				:    Any           =	downsample_patch_size
         snake_case				:    Tuple           =	downsample_stride
         snake_case				:    Any           =	downsample_pad
         snake_case				:    Union[str, Any]           =	drop_path_rate
         snake_case				:    List[str]           =	num_metaad_blocks
         snake_case				:    Union[str, Any]           =	distillation
         snake_case				:    List[str]           =	use_layer_scale
         snake_case				:    int           =	layer_scale_init_value
         snake_case				:    Union[str, Any]           =	image_size
         snake_case				:    Dict           =	batch_norm_eps





