



import functools
from typing import Any






def 			lowerCAmelCase__	(					lowerCamelCase_	:	str ,lowerCamelCase_	:	int):





    '''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__  :       str				=  'WORD_KEEPER'

    for word in words:
        lowerCAmelCase__  :       Tuple				=  trie
        for c in word:
            if c not in trie_node:
                lowerCAmelCase__  :       Optional[Any]				=  {}

            lowerCAmelCase__  :       List[Any]				=  trie_node[c]

        lowerCAmelCase__  :       int				=  True

    lowerCAmelCase__  :       List[str]				=  len(SCREAMING_SNAKE_CASE_)

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

        lowerCAmelCase__  :       List[str]				=  trie
        for i in range(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_):
            lowerCAmelCase__  :       Dict				=  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()






import copy

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


__snake_case       :	Any            =logging.get_logger(__name__)



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			="""encoder-decoder"""
		snake_case_			=True



		def __init__(self	,**__lowerCamelCase				)  ->    Union[str, Any]:

						"""simple docstring"""






						super().__init__(**__lowerCamelCase				)
						assert (
						    "encoder" in kwargs and "decoder" in kwargs
						), "Config has to be initialized with encoder and decoder config"
						lowerCAmelCase__  :       Optional[Any]				=  kwargs.pop('''encoder'''				)
						lowerCAmelCase__  :       Any				=  encoder_config.pop('''model_type'''				)
						lowerCAmelCase__  :       str				=  kwargs.pop('''decoder'''				)
						lowerCAmelCase__  :       Tuple				=  decoder_config.pop('''model_type'''				)

						from ..auto.configuration_auto import AutoConfig

						lowerCAmelCase__  :       Tuple				=  AutoConfig.for_model(__lowerCamelCase	,**__lowerCamelCase				)
						lowerCAmelCase__  :       Any				=  AutoConfig.for_model(__lowerCamelCase	,**__lowerCamelCase				)
						lowerCAmelCase__  :       str				=  True



		@classmethod
		def 	lowerCAmelCase__   (cls	,__lowerCamelCase	,__lowerCamelCase	,**__lowerCamelCase				)  ->    PretrainedConfig:

						"""simple docstring"""






						logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''				)
						lowerCAmelCase__  :       Optional[int]				=  True
						lowerCAmelCase__  :       List[str]				=  True

						return cls(encoder=encoder_config.to_dict()	,decoder=decoder_config.to_dict()	,**__lowerCamelCase				)



		def 	lowerCAmelCase__   (self				)  ->    Tuple:

						"""simple docstring"""






						lowerCAmelCase__  :       int				=  copy.deepcopy(self.__dict__				)
						lowerCAmelCase__  :       Optional[Any]				=  self.encoder.to_dict()
						lowerCAmelCase__  :       str				=  self.decoder.to_dict()
						lowerCAmelCase__  :       Optional[int]				=  self.__class__.model_type
						return output

