




'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_SCREAMING_SNAKE_CASE			=						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE			=						{
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}
class   __UpperCAmelCase				(     lowerCAmelCase			,lowerCAmelCase				):



					'''simple docstring'''





					_UpperCamelCase							=		"""bit"""
					_UpperCamelCase							=		["""preactivation""", """bottleneck"""]
					_UpperCamelCase							=		["""SAME""", """VALID"""]



					def __init__(	self     :						Any      ,       _lowercase     :						Optional[Any]=3      ,       _lowercase     :						Any=64      ,       _lowercase     :						Tuple=[256, 512, 1_024, 2_048]      ,       _lowercase     :						Optional[Any]=[3, 4, 6, 3]      ,       _lowercase     :						Any="preactivation"      ,       _lowercase     :						Optional[Any]="relu"      ,       _lowercase     :						Optional[int]=None      ,       _lowercase     :						str=32      ,       _lowercase     :						List[Any]=0.0      ,       _lowercase     :						str=False      ,       _lowercase     :						Any=32      ,       _lowercase     :						Optional[Any]=1      ,       _lowercase     :						Any=None      ,       _lowercase     :						Tuple=None      ,       **_lowercase     :						Any      ,       )    ->							List[Any]:
								super().__init__(**_lowercase)
								if layer_type not in self.layer_types:
											raise ValueError(F'layer_type={layer_type} is not one of {",".join(self.layer_types)}')
								if global_padding is not None:
											if global_padding.upper() in self.supported_padding:
														A_									= global_padding.upper()
											else:
														raise ValueError(F'Padding strategy {global_padding} not supported')
								A_									= num_channels
								A_									= embedding_size
								A_									= hidden_sizes
								A_									= depths
								A_									= layer_type
								A_									= hidden_act
								A_									= global_padding
								A_									= num_groups
								A_									= drop_path_rate
								A_									= embedding_dynamic_padding
								A_									= output_stride
								A_									= width_factor

								A_									= ['stem'] + [F'stage{idx}' for idx in range(1      ,       len(_lowercase) + 1)]
								A_		, A_									= get_aligned_output_features_output_indices(
								    out_features=_lowercase      ,       out_indices=_lowercase      ,       stage_names=self.stage_names)










'''simple docstring'''
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		bool:
			A_									= len(SCREAMING_SNAKE_CASE_     ) + 1
			A_									= len(SCREAMING_SNAKE_CASE_     ) + 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.
			A_									= [[0 for i in range(SCREAMING_SNAKE_CASE_     )] for j in range(SCREAMING_SNAKE_CASE_     )]

			# since string of zero length match pattern of zero length
			A_									= 1

			# since pattern of zero length will never match with string of non-zero length
			for i in range(1       ,SCREAMING_SNAKE_CASE_     ):
						A_									= 0

			# since string of zero length will match with pattern where there
			# is at least one * alternatively
			for j in range(1       ,SCREAMING_SNAKE_CASE_     ):
						A_									= 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       ,SCREAMING_SNAKE_CASE_     ):
						for j in range(1       ,SCREAMING_SNAKE_CASE_     ):
									if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
												A_									= dp[i - 1][j - 1]

									elif pattern[j - 1] == "*":
												if dp[i][j - 2] == 1:
															A_									= 1
												elif pattern[j - 2] in (input_string[i - 1], "."):
															A_									= dp[i - 1][j]
												else:
															A_									= 0
									else:
												A_									= 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 :")

							_SCREAMING_SNAKE_CASE			=						"aab"
							_SCREAMING_SNAKE_CASE			=						"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}""")




