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


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{
    '''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json''',
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}




class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    str  			=   '''gpt_neox'''



   def __init__(	self					:  str		,  _lowercase					:  int=50_432		,  _lowercase					:  int=6_144		,  _lowercase					:  Any=44		,  _lowercase					:  Optional[Any]=64		,  _lowercase					:  Optional[Any]=24_576		,  _lowercase					:  List[str]="gelu"		,  _lowercase					:  Dict=0.25		,  _lowercase					:  Union[str, Any]=10_000		,  _lowercase					:  str=0.0		,  _lowercase					:  int=0.0		,  _lowercase					:  Any=0.1		,  _lowercase					:  Dict=2_048		,  _lowercase					:  Dict=0.02		,  _lowercase					:  List[str]=1E-5		,  _lowercase					:  Dict=True		,  _lowercase					:  Any=0		,  _lowercase					:  List[Any]=2		,  _lowercase					:  int=False		,  _lowercase					:  Any=True		,  _lowercase					:  str=None		,  **_lowercase					:  List[Any]		,  ):



    """simple docstring"""



    super().__init__(bos_token_id=_lowercase		,  eos_token_id=_lowercase		,  **_lowercase							)
    _UpperCamelCase:     Any							= vocab_size
    _UpperCamelCase:     Optional[Any]							= max_position_embeddings
    _UpperCamelCase:     Union[str, Any]							= hidden_size
    _UpperCamelCase:     str							= num_hidden_layers
    _UpperCamelCase:     Dict							= num_attention_heads
    _UpperCamelCase:     Tuple							= intermediate_size
    _UpperCamelCase:     Any							= hidden_act
    _UpperCamelCase:     int							= rotary_pct
    _UpperCamelCase:     Tuple							= rotary_emb_base
    _UpperCamelCase:     int							= attention_dropout
    _UpperCamelCase:     Dict							= hidden_dropout
    _UpperCamelCase:     List[Any]							= classifier_dropout
    _UpperCamelCase:     int							= initializer_range
    _UpperCamelCase:     Dict							= layer_norm_eps
    _UpperCamelCase:     List[Any]							= use_cache
    _UpperCamelCase:     Union[str, Any]							= tie_word_embeddings
    _UpperCamelCase:     Dict							= use_parallel_residual
    _UpperCamelCase:     List[str]							= rope_scaling
    self._rope_scaling_validation()

    if self.hidden_size % self.num_attention_heads != 0:
     raise ValueError(
         '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''							)



   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



    if self.rope_scaling is None:
     return

    if not isinstance(self.rope_scaling		,  _lowercase							) or len(self.rope_scaling							) != 2:
     raise ValueError(
         '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
         f"""got {self.rope_scaling}"""							)
    _UpperCamelCase:     Optional[Any]							= self.rope_scaling.get('''type'''		,  _lowercase							)
    _UpperCamelCase:     List[Any]							= self.rope_scaling.get('''factor'''		,  _lowercase							)
    if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
     raise ValueError(
         f"""`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"""							)
    if rope_scaling_factor is None or not isinstance(_lowercase		,  _lowercase							) or rope_scaling_factor <= 1.0:
     raise ValueError(f"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""							)
def       lowerCAmelCase_     (		lowercase:							int = 10**9		)    ->				int:







 '''simple docstring'''
 _UpperCamelCase:     List[Any]							= 1
 _UpperCamelCase:     Dict							= 2

 _UpperCamelCase:     Tuple							= 0
 _UpperCamelCase:     int							= 0
 _UpperCamelCase:     Dict							= 0
 while perimeter <= max_perimeter:
  perimeters_sum += perimeter

  prev_value += 2 * value
  value += prev_value

  _UpperCamelCase:     str							= 2 * value + 2 if i % 2 == 0 else 2 * value - 2
  i += 1

 return perimeters_sum


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