




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


_UpperCAmelCase	:						List[str]			=     logging.get_logger(__name__)

_UpperCAmelCase	:						List[str]			=     {
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class    __lowerCAmelCase       (							lowerCAmelCase):
       _a 					=						'''biogpt'''






       def __init__(   self:					Tuple       ,					_lowerCAmelCase:					Any=4_23_84       ,					_lowerCAmelCase:					str=10_24       ,					_lowerCAmelCase:					Dict=24       ,					_lowerCAmelCase:					int=16       ,					_lowerCAmelCase:					Any=40_96       ,					_lowerCAmelCase:					List[Any]="gelu"       ,					_lowerCAmelCase:					List[Any]=0.1       ,					_lowerCAmelCase:					Dict=0.1       ,					_lowerCAmelCase:					Dict=10_24       ,					_lowerCAmelCase:					str=0.02       ,					_lowerCAmelCase:					Any=1e-1_2       ,					_lowerCAmelCase:					Optional[Any]=True       ,					_lowerCAmelCase:					List[Any]=True       ,					_lowerCAmelCase:					Any=0.0       ,					_lowerCAmelCase:					List[Any]=0.0       ,					_lowerCAmelCase:					Tuple=1       ,					_lowerCAmelCase:					Optional[Any]=0       ,					_lowerCAmelCase:					Tuple=2       ,					**_lowerCAmelCase:					int       ,					):
         lowercase    :Any      	=						vocab_size
         lowercase    :Dict      	=						max_position_embeddings
         lowercase    :Optional[int]      	=						hidden_size
         lowercase    :Union[str, Any]      	=						num_hidden_layers
         lowercase    :Tuple      	=						num_attention_heads
         lowercase    :Union[str, Any]      	=						intermediate_size
         lowercase    :List[str]      	=						hidden_act
         lowercase    :Optional[Any]      	=						hidden_dropout_prob
         lowercase    :str      	=						attention_probs_dropout_prob
         lowercase    :Union[str, Any]      	=						initializer_range
         lowercase    :Optional[Any]      	=						layer_norm_eps
         lowercase    :Optional[Any]      	=						scale_embedding
         lowercase    :Tuple      	=						use_cache
         lowercase    :List[str]      	=						layerdrop
         lowercase    :Any      	=						activation_dropout
         super().__init__(pad_token_id=_lowerCAmelCase       ,					bos_token_id=_lowerCAmelCase       ,					eos_token_id=_lowerCAmelCase       ,					**_lowerCAmelCase				)









def       UpperCAmelCase__  (     lowerCamelCase = "The quick brown fox jumps over the lazy dog",			):
  lowercase    :Dict      	=						set()

  # Replace all the whitespace in our sentence
  lowercase    :Optional[int]      	=						input_str.replace(" ",			""   )
  for alpha in input_str:
    if "a" <= alpha.lower() <= "z":
      frequency.add(alpha.lower()   )
  return len(lowerCamelCase   ) == 26



def       UpperCAmelCase__  (     lowerCamelCase = "The quick brown fox jumps over the lazy dog",			):
  lowercase    :Optional[Any]      	=						[False] * 26
  for char in input_str:
    if char.islower():
      lowercase    :Union[str, Any]      	=						True
    elif char.isupper():
      lowercase    :int      	=						True
  return all(lowerCamelCase   )



def       UpperCAmelCase__  (     lowerCamelCase = "The quick brown fox jumps over the lazy dog",			):
  return len({char for char in input_str.lower() if char.isalpha()}   ) == 26



def       UpperCAmelCase__  (     ):
  from timeit import timeit

  lowercase    :Optional[Any]      	=						"from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"
  print(timeit("is_pangram()",			setup=lowerCamelCase   )   )
  print(timeit("is_pangram_faster()",			setup=lowerCamelCase   )   )
  print(timeit("is_pangram_fastest()",			setup=lowerCamelCase   )   )
  # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
  # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()



