


def 				__lowerCamelCase						( UpperCAmelCase_						:		str = "The quick brown fox jumps over the lazy dog" ,  ):




      """simple docstring"""





      a						:Any 							=       set()

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




      """simple docstring"""





      a						:str 							=       [False] * 26
      for char in input_str:
            if char.islower():
                  a						:int 							=       True
            elif char.isupper():
                  a						:List[str] 							=       True
      return all(UpperCAmelCase_						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		str = "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 				__lowerCamelCase						( ):




      """simple docstring"""





      from timeit import timeit

      a						:str 							=       '''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()










'''simple docstring'''





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


__a          =		logging.get_logger(__name__)

__a          =		{
    "vinvino02/glpn-kitti": "https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json",
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    lowercase					=		"glpn"




    def __init__(    self					:     Optional[Any] ,     snake_case_					:     List[str]=3 ,     snake_case_					:     Dict=4 ,     snake_case_					:     List[Any]=[2, 2, 2, 2] ,     snake_case_					:     int=[8, 4, 2, 1] ,     snake_case_					:     List[str]=[32, 64, 160, 256] ,     snake_case_					:     Tuple=[7, 3, 3, 3] ,     snake_case_					:     List[Any]=[4, 2, 2, 2] ,     snake_case_					:     Tuple=[1, 2, 5, 8] ,     snake_case_					:     List[str]=[4, 4, 4, 4] ,     snake_case_					:     Optional[int]="gelu" ,     snake_case_					:     Dict=0.0 ,     snake_case_					:     Union[str, Any]=0.0 ,     snake_case_					:     List[Any]=0.02 ,     snake_case_					:     Tuple=0.1 ,     snake_case_					:     Any=1E-6 ,     snake_case_					:     Dict=64 ,     snake_case_					:     Tuple=10 ,     snake_case_					:     List[Any]=-1 ,     **snake_case_					:     Optional[Any] ,     ):
          super().__init__(**snake_case_						)

          snake_case__  :    Optional[Any]    						=      num_channels
          snake_case__  :    Dict    						=      num_encoder_blocks
          snake_case__  :    Tuple    						=      depths
          snake_case__  :    Union[str, Any]    						=      sr_ratios
          snake_case__  :    Tuple    						=      hidden_sizes
          snake_case__  :    Optional[Any]    						=      patch_sizes
          snake_case__  :    int    						=      strides
          snake_case__  :    List[Any]    						=      mlp_ratios
          snake_case__  :    Optional[int]    						=      num_attention_heads
          snake_case__  :    Dict    						=      hidden_act
          snake_case__  :    int    						=      hidden_dropout_prob
          snake_case__  :    Optional[Any]    						=      attention_probs_dropout_prob
          snake_case__  :    str    						=      initializer_range
          snake_case__  :    List[str]    						=      drop_path_rate
          snake_case__  :    int    						=      layer_norm_eps
          snake_case__  :    Tuple    						=      decoder_hidden_size
          snake_case__  :    List[Any]    						=      max_depth
          snake_case__  :    Dict    						=      head_in_index
