





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


lowercase_					     =	logging.get_logger(__name__)

lowercase_					     =	{
    """s-JoL/Open-Llama-V1""": """https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json""",
}
class        SCREAMING_SNAKE_CASE     (a__   ):
   _UpperCamelCase					:	Union[str, Any]				      = "open-llama"


   def __init__(					self    :       Optional[Any]    ,  a    :       Tuple=100_000    ,  a    :       List[Any]=4_096    ,  a    :       Optional[int]=11_008    ,  a    :       Tuple=32    ,  a    :       Optional[int]=32    ,  a    :       Optional[Any]="silu"    ,  a    :       Any=2_048    ,  a    :       List[str]=0.02    ,  a    :       int=1E-6    ,  a    :       Optional[int]=True    ,  a    :       Any=0    ,  a    :       Optional[int]=1    ,  a    :       Dict=2    ,  a    :       List[Any]=False    ,  a    :       Tuple=True    ,  a    :       Tuple=0.1    ,  a    :       Union[str, Any]=0.1    ,  a    :       str=True    ,  a    :       Optional[int]=True    ,  a    :       Optional[int]=None    ,  **a    :       Optional[Any]    ,  )->     List[Any]:





     """simple docstring"""







     lowercase__			    =						vocab_size
     lowercase__			    =						max_position_embeddings
     lowercase__			    =						hidden_size
     lowercase__			    =						intermediate_size
     lowercase__			    =						num_hidden_layers
     lowercase__			    =						num_attention_heads
     lowercase__			    =						hidden_act
     lowercase__			    =						initializer_range
     lowercase__			    =						rms_norm_eps
     lowercase__			    =						use_cache
     lowercase__			    =						kwargs.pop(
         'use_memorry_efficient_attention'    ,  lowerCamelCase_ )
     lowercase__			    =						hidden_dropout_prob
     lowercase__			    =						attention_dropout_prob
     lowercase__			    =						use_stable_embedding
     lowercase__			    =						shared_input_output_embedding
     lowercase__			    =						rope_scaling
     self._rope_scaling_validation()

     super().__init__(
         pad_token_id=lowerCamelCase_    ,  bos_token_id=lowerCamelCase_    ,  eos_token_id=lowerCamelCase_    ,  tie_word_embeddings=lowerCamelCase_    ,  **lowerCamelCase_    ,  )


   def  SCREAMING_SNAKE_CASE_							(					self    :       str )->     Optional[Any]:





     """simple docstring"""







     if self.rope_scaling is None:
       return

     if not isinstance(self.rope_scaling    ,  lowerCamelCase_ ) 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}""" )
     lowercase__			    =						self.rope_scaling.get('type'    ,  lowerCamelCase_ )
     lowercase__			    =						self.rope_scaling.get('factor'    ,  lowerCamelCase_ )
     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(lowerCamelCase_    ,  lowerCamelCase_ ) or rope_scaling_factor <= 1.0:
       raise ValueError(f"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}""" )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE = 50	)       ->     int:
  lowercase__			    =						[[0] * 3 for _ in range(length + 1	)]

  for row_length in range(length + 1	):
    for tile_length in range(2	,		5	):
      for tile_start in range(row_length - tile_length + 1	):
        different_colour_ways_number[row_length][tile_length - 2] += (
            different_colour_ways_number[row_length - tile_start - tile_length][
                tile_length - 2
            ]
            + 1
        )

  return sum(different_colour_ways_number[length]	)


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


