





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


snake_case 				=       logging.get_logger(__name__)

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





class 				A_				(      UpperCAmelCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : str      =  '''openai-gpt'''
       SCREAMING_SNAKE_CASE_      : Optional[int]      =  {
           '''max_position_embeddings''': '''n_positions''',
           '''hidden_size''': '''n_embd''',
           '''num_attention_heads''': '''n_head''',
           '''num_hidden_layers''': '''n_layer''',
       }







       def __init__(    self	:	int						,__A	:	List[str]=4_0478						,__A	:	Dict=512						,__A	:	Dict=768						,__A	:	int=12						,__A	:	Optional[int]=12						,__A	:	Optional[Any]="gelu"						,__A	:	int=0.1						,__A	:	List[Any]=0.1						,__A	:	int=0.1						,__A	:	Optional[Any]=1e-5						,__A	:	str=0.02						,__A	:	Optional[Any]="cls_index"						,__A	:	Any=True						,__A	:	Optional[int]=None						,__A	:	int=True						,__A	:	Dict=0.1						,**__A	:	Any						,)						->					Tuple:
         _lowercase							= vocab_size
         _lowercase							= n_positions
         _lowercase							= n_embd
         _lowercase							= n_layer
         _lowercase							= n_head
         _lowercase							= afn
         _lowercase							= resid_pdrop
         _lowercase							= embd_pdrop
         _lowercase							= attn_pdrop
         _lowercase							= layer_norm_epsilon
         _lowercase							= initializer_range
         _lowercase							= summary_type
         _lowercase							= summary_use_proj
         _lowercase							= summary_activation
         _lowercase							= summary_first_dropout
         _lowercase							= summary_proj_to_labels
         super().__init__(**__A  )






from itertools import count

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :int = 50     )      ->						int:
  _lowercase							= [1] * min_block_length

  for n in count(snake_case__     ):
    fill_count_functions.append(1     )

    for block_length in range(snake_case__			,							n + 1     ):
      for block_start in range(n - block_length     ):
        fill_count_functions[n] += fill_count_functions[
            n - block_start - block_length - 1
        ]

      fill_count_functions[n] += 1

    if fill_count_functions[n] > 100_0000:
      break

  return n


if __name__ == "__main__":
      print(F"""{solution() = }""")