import functools
from typing import Any
def  snake_case						(__lowercase ,      __lowercase						)	->	bool:

						'''simple docstring'''



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

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

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

						for word in words:
												_snake_case						:					str    =   trie
												for c in word:
																		if c not in trie_node:
																								_snake_case						:					List[Any]    =   {}

																		_snake_case						:					Dict    =   trie_node[c]

												_snake_case						:					Any    =   True

						_snake_case						:					Union[str, Any]    =   len(__lowercase						)

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

												_snake_case						:					str    =   trie
												for i in range(__lowercase ,      __lowercase						):
																		_snake_case						:					Any    =   trie_node.get(string[i] ,      __lowercase						)

																		if trie_node is None:
																								return False

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

												return False

						return is_breakable(0						)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
import logging

from transformers import PretrainedConfig


__SCREAMING_SNAKE_CASE						:   Any         =			logging.getLogger(__name__)


__SCREAMING_SNAKE_CASE						:   int         =			{
    'bertabs-finetuned-cnndm': 'https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json',
}



class        lowercase_   (					__snake_case		):
							_lowerCamelCase						=		'bertabs'



							def __init__(						self				,    lowercase_=30_522				,    lowercase_=512				,    lowercase_=6				,    lowercase_=512				,    lowercase_=8				,    lowercase_=512				,    lowercase_=0.2				,    lowercase_=6				,    lowercase_=768				,    lowercase_=8				,    lowercase_=2_048				,    lowercase_=0.2				,    **lowercase_				,    ):
													super().__init__(**lowercase_    )

													_snake_case						:					List[Any]    =   vocab_size
													_snake_case						:					int    =   max_pos

													_snake_case						:					Tuple    =   enc_layers
													_snake_case						:					Optional[Any]    =   enc_hidden_size
													_snake_case						:					Union[str, Any]    =   enc_heads
													_snake_case						:					str    =   enc_ff_size
													_snake_case						:					Any    =   enc_dropout

													_snake_case						:					Tuple    =   dec_layers
													_snake_case						:					Optional[Any]    =   dec_hidden_size
													_snake_case						:					Dict    =   dec_heads
													_snake_case						:					str    =   dec_ff_size
													_snake_case						:					List[str]    =   dec_dropout