


"""simple docstring"""







import functools
from typing import Any
def 					a__			(				SCREAMING_SNAKE_CASE    :    str				,      SCREAMING_SNAKE_CASE    :    list[str]				):


  '''simple docstring'''







  if not isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				) or len(SCREAMING_SNAKE_CASE				) == 0:
    raise ValueError("the string should be not empty string"				)

  if not isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				) or not all(
      isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				) and len(SCREAMING_SNAKE_CASE				) > 0 for item in words				):
    raise ValueError("the words should be a list of non-empty strings"				)

  # Build trie
  lowerCAmelCase     :     dict[str, Any]								=							{}
  lowerCAmelCase     :     Union[str, Any]								=							"WORD_KEEPER"

  for word in words:
    lowerCAmelCase     :     int								=							trie
    for c in word:
      if c not in trie_node:
        lowerCAmelCase     :     Union[str, Any]								=							{}

      lowerCAmelCase     :     Tuple								=							trie_node[c]

    lowerCAmelCase     :     Optional[Any]								=							True

  lowerCAmelCase     :     str								=							len(SCREAMING_SNAKE_CASE				)

  # Dynamic programming method
  @functools.cache
  def is_breakable(SCREAMING_SNAKE_CASE    :    int				) -> bool:
    if index == len_string:
      return True

    lowerCAmelCase     :     str								=							trie
    for i in range(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				):
      lowerCAmelCase     :     Tuple								=							trie_node.get(string[i]				,      SCREAMING_SNAKE_CASE				)

      if trie_node is None:
        return False

      if trie_node.get(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				) and is_breakable(i + 1				):
        return True

    return False

  return is_breakable(0				)


if __name__ == "__main__":
     import doctest

     doctest.testmod()









"""simple docstring"""







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


lowerCAmelCase__      				=   logging.get_logger(__name__)

lowerCAmelCase__      				=   {}


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       a  :				str   ="llama"
       a  :				List[str]   =["past_key_values"]

       def __init__(						self		,     snake_case__=32_000		,     snake_case__=4_096		,     snake_case__=11_008		,     snake_case__=32		,     snake_case__=32		,     snake_case__=None		,     snake_case__="silu"		,     snake_case__=2_048		,     snake_case__=0.02		,     snake_case__=1e-6		,     snake_case__=True		,     snake_case__=0		,     snake_case__=1		,     snake_case__=2		,     snake_case__=1		,     snake_case__=False		,     snake_case__=None		,     **snake_case__		,     ):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							vocab_size
         lowerCAmelCase     :     str								=							max_position_embeddings
         lowerCAmelCase     :     str								=							hidden_size
         lowerCAmelCase     :     Optional[int]								=							intermediate_size
         lowerCAmelCase     :     Any								=							num_hidden_layers
         lowerCAmelCase     :     List[str]								=							num_attention_heads

         # for backward compatibility
         if num_key_value_heads is None:
           lowerCAmelCase     :     Tuple								=							num_attention_heads

         lowerCAmelCase     :     Dict								=							num_key_value_heads
         lowerCAmelCase     :     Optional[Any]								=							hidden_act
         lowerCAmelCase     :     Optional[Any]								=							initializer_range
         lowerCAmelCase     :     Any								=							rms_norm_eps
         lowerCAmelCase     :     List[Any]								=							pretraining_tp
         lowerCAmelCase     :     int								=							use_cache
         lowerCAmelCase     :     List[str]								=							rope_scaling
         self._rope_scaling_validation()

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







       def        lowercase__							(						self						):






         """simple docstring"""





         if self.rope_scaling is None:
           return

         if not isinstance(self.rope_scaling		,     snake_case__						) 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}"""						)
         lowerCAmelCase     :     Optional[Any]								=							self.rope_scaling.get("type"		,     snake_case__						)
         lowerCAmelCase     :     int								=							self.rope_scaling.get("factor"		,     snake_case__						)
         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(snake_case__		,     snake_case__						) or rope_scaling_factor <= 1.0:
           raise ValueError(f"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""						)





