




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


__a							     =					logging.get_logger(__name__)

__a							     =					{'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/config.json'}

class     __a(	_a  ):






    """simple docstring"""





    lowerCAmelCase         = '''openai-gpt'''
    lowerCAmelCase         = {
        '''max_position_embeddings''': '''n_positions''',
        '''hidden_size''': '''n_embd''',
        '''num_attention_heads''': '''n_head''',
        '''num_hidden_layers''': '''n_layer''',
    }





    def __init__( self  ,_SCREAMING_SNAKE_CASE=40_478  ,_SCREAMING_SNAKE_CASE=512  ,_SCREAMING_SNAKE_CASE=768  ,_SCREAMING_SNAKE_CASE=12  ,_SCREAMING_SNAKE_CASE=12  ,_SCREAMING_SNAKE_CASE="gelu"  ,_SCREAMING_SNAKE_CASE=0.1  ,_SCREAMING_SNAKE_CASE=0.1  ,_SCREAMING_SNAKE_CASE=0.1  ,_SCREAMING_SNAKE_CASE=1e-5  ,_SCREAMING_SNAKE_CASE=0.02  ,_SCREAMING_SNAKE_CASE="cls_index"  ,_SCREAMING_SNAKE_CASE=True  ,_SCREAMING_SNAKE_CASE=None  ,_SCREAMING_SNAKE_CASE=True  ,_SCREAMING_SNAKE_CASE=0.1  ,**_SCREAMING_SNAKE_CASE  ,)					->						Optional[int]:
         UpperCAmelCase_     :				Dict  =     vocab_size
         UpperCAmelCase_     :				int  =     n_positions
         UpperCAmelCase_     :				Dict  =     n_embd
         UpperCAmelCase_     :				List[str]  =     n_layer
         UpperCAmelCase_     :				Optional[int]  =     n_head
         UpperCAmelCase_     :				List[Any]  =     afn
         UpperCAmelCase_     :				Union[str, Any]  =     resid_pdrop
         UpperCAmelCase_     :				Tuple  =     embd_pdrop
         UpperCAmelCase_     :				Union[str, Any]  =     attn_pdrop
         UpperCAmelCase_     :				Optional[int]  =     layer_norm_epsilon
         UpperCAmelCase_     :				List[Any]  =     initializer_range
         UpperCAmelCase_     :				List[str]  =     summary_type
         UpperCAmelCase_     :				str  =     summary_use_proj
         UpperCAmelCase_     :				List[Any]  =     summary_activation
         UpperCAmelCase_     :				Optional[int]  =     summary_first_dropout
         UpperCAmelCase_     :				List[Any]  =     summary_proj_to_labels
         super().__init__(**_SCREAMING_SNAKE_CASE    )
'''simple docstring'''

def snake_case_      (					__snake_case  :							int = 200)			->					int:
   lowerCAmelCase_			=      [1, 2, 5, 10, 20, 50, 100, 200]
   lowerCAmelCase_			=      [0] * (pence + 1)
   lowerCAmelCase_			=      1  # base case: 1 way to make 0 pence

   for coin in coins:
      for i in range(__snake_case	,   pence + 1	,   1):
         number_of_ways[i] += number_of_ways[i - coin]
   return number_of_ways[pence]


if __name__ == "__main__":
 assert solution(2_00) == 7_36_82





