






"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase_   : int   			= logging.get_logger(__name__)




class 							lowerCAmelCase__				(			UpperCAmelCase__				,		UpperCAmelCase__ ):






      '''simple docstring'''

      __UpperCamelCase	 =  "maskformer-swin"

      __UpperCamelCase	 =  {
          "num_attention_heads": "num_heads",
          "num_hidden_layers": "num_layers",
      }
      def __init__(						self     :  Optional[int]						,	lowercase_     :  str=224						,	lowercase_     :  List[Any]=4						,	lowercase_     :  Any=3						,	lowercase_     :  Dict=96						,	lowercase_     :  int=[2, 2, 6, 2]						,	lowercase_     :  Optional[Any]=[3, 6, 12, 24]						,	lowercase_     :  Optional[Any]=7						,	lowercase_     :  List[Any]=4.0						,	lowercase_     :  Dict=True						,	lowercase_     :  List[Any]=0.0						,	lowercase_     :  List[Any]=0.0						,	lowercase_     :  Tuple=0.1						,	lowercase_     :  Optional[Any]="gelu"						,	lowercase_     :  List[str]=False						,	lowercase_     :  List[Any]=0.02						,	lowercase_     :  Union[str, Any]=1e-5						,	lowercase_     :  Optional[Any]=None						,	lowercase_     :  Optional[Any]=None						,	**lowercase_     :  str						,	):




          '''simple docstring'''


          super().__init__(**lowercase_)

          SCREAMING_SNAKE_CASE_      :  int    						=		image_size
          SCREAMING_SNAKE_CASE_      :  str    						=		patch_size
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		num_channels
          SCREAMING_SNAKE_CASE_      :  str    						=		embed_dim
          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		depths
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		len(lowercase_)
          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		num_heads
          SCREAMING_SNAKE_CASE_      :  Dict    						=		window_size
          SCREAMING_SNAKE_CASE_      :  Any    						=		mlp_ratio
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		qkv_bias
          SCREAMING_SNAKE_CASE_      :  str    						=		hidden_dropout_prob
          SCREAMING_SNAKE_CASE_      :  Dict    						=		attention_probs_dropout_prob
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		drop_path_rate
          SCREAMING_SNAKE_CASE_      :  int    						=		hidden_act
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		use_absolute_embeddings
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		layer_norm_eps
          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		initializer_range
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		int(embed_dim * 2 ** (len(lowercase_) - 1))
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		['''stem'''] + [F'stage{idx}' for idx in range(1						,	len(lowercase_) + 1)]
          SCREAMING_SNAKE_CASE_						,			SCREAMING_SNAKE_CASE_      :  List[str]    						=		get_aligned_output_features_output_indices(
              out_features=lowercase_						,	out_indices=lowercase_						,	stage_names=self.stage_names)







'''simple docstring'''





def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase = "The quick brown fox jumps over the lazy dog"							,    ):



    """simple docstring"""





    lowerCAmelCase__ :  str							      =					set()

    # Replace all the whitespace in our sentence
    lowerCAmelCase__ :  Tuple							      =					input_str.replace(""" """							,    """"""			)
    for alpha in input_str:
        if "a" <= alpha.lower() <= "z":
            frequency.add(alpha.lower()			)
    return len(UpperCamelCase			) == 26
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase = "The quick brown fox jumps over the lazy dog"							,    ):



    """simple docstring"""





    lowerCAmelCase__ :  Any							      =					[False] * 26
    for char in input_str:
        if char.islower():
            lowerCAmelCase__ :  Optional[Any]							      =					True
        elif char.isupper():
            lowerCAmelCase__ :  Any							      =					True
    return all(UpperCamelCase			)
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase = "The quick brown fox jumps over the lazy dog"							,    ):



    """simple docstring"""





    return len({char for char in input_str.lower() if char.isalpha()}			) == 26
def    _SCREAMING_SNAKE_CASE  (       ):



    """simple docstring"""





    from timeit import timeit

    lowerCAmelCase__ :  Union[str, Any]							      =					"""from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
    print(timeit("""is_pangram()"""							,    setup=UpperCamelCase			)			)
    print(timeit("""is_pangram_faster()"""							,    setup=UpperCamelCase			)			)
    print(timeit("""is_pangram_fastest()"""							,    setup=UpperCamelCase			)			)
    # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
    # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()


