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


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}




class  __magic_name__  (		_UpperCAmelCase    ):





   """simple docstring"""




   lowerCAmelCase      :    Any  			=   '''ctrl'''
   lowerCAmelCase      :    List[Any]  			=   ['''past_key_values''']
   lowerCAmelCase      :    Tuple  			=   {
       '''max_position_embeddings''': '''n_positions''',
       '''hidden_size''': '''n_embd''',
       '''num_attention_heads''': '''n_head''',
       '''num_hidden_layers''': '''n_layer''',
   }



   def __init__(	self					:  Optional[Any]		,  _lowercase					:  str=246_534		,  _lowercase					:  List[str]=256		,  _lowercase					:  Optional[int]=1_280		,  _lowercase					:  Union[str, Any]=8_192		,  _lowercase					:  Tuple=48		,  _lowercase					:  List[Any]=16		,  _lowercase					:  Dict=0.1		,  _lowercase					:  Tuple=0.1		,  _lowercase					:  List[Any]=1E-6		,  _lowercase					:  List[Any]=0.02		,  _lowercase					:  Union[str, Any]=True		,  **_lowercase					:  Union[str, Any]		,  ):



    """simple docstring"""



    _UpperCamelCase:     Any							= vocab_size
    _UpperCamelCase:     Any							= n_positions
    _UpperCamelCase:     Any							= n_embd
    _UpperCamelCase:     Any							= n_layer
    _UpperCamelCase:     Optional[int]							= n_head
    _UpperCamelCase:     List[Any]							= dff
    _UpperCamelCase:     List[str]							= resid_pdrop
    _UpperCamelCase:     List[Any]							= embd_pdrop
    _UpperCamelCase:     str							= layer_norm_epsilon
    _UpperCamelCase:     str							= initializer_range

    _UpperCamelCase:     Optional[Any]							= use_cache

    super().__init__(**lowercase__							)
def       lowerCAmelCase_     (		lowercase:							int = 600_851_475_143		)    ->				int:







 '''simple docstring'''

 try:
  _UpperCamelCase:     Optional[int]							= int(lowercase		)
 except (TypeError, ValueError):
  raise TypeError('''Parameter n must be int or castable to int.'''		)
 if n <= 0:
  raise ValueError('''Parameter n must be greater than or equal to one.'''		)
 _UpperCamelCase:     Dict							= 1
 _UpperCamelCase:     Tuple							= 2
 while i * i <= n:
  while n % i == 0:
   _UpperCamelCase:     List[Any]							= i
   n //= i
  i += 1
 if n > 1:
  _UpperCamelCase:     Any							= n
 return int(lowercase		)


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