





import functools
from typing import Any





def     _UpperCamelCase     (a__   :str   ,			a__   :list[str]       ):






							"""simple docstring"""





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

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

							# Build trie
							UpperCamelCase__				     =			{}
							UpperCamelCase__				     =			"""WORD_KEEPER"""

							for word in words:
														UpperCamelCase__				     =			trie
														for c in word:
																					if c not in trie_node:
																												UpperCamelCase__				     =			{}

																					UpperCamelCase__				     =			trie_node[c]

														UpperCamelCase__				     =			True

							UpperCamelCase__				     =			len(a__       )

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

														UpperCamelCase__				     =			trie
														for i in range(a__   ,			a__       ):
																					UpperCamelCase__				     =			trie_node.get(string[i]   ,			a__       )

																					if trie_node is None:
																												return False

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

														return False

							return is_breakable(0       )


if __name__ == "__main__":
					import doctest

					doctest.testmod()











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


UpperCamelCase__											= logging.get_logger(__name__)

UpperCamelCase__											= {
    "studio-ousia/luke-base": "https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json",
    "studio-ousia/luke-large": "https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json",
}

class        __SCREAMING_SNAKE_CASE					(     _a       ):
							snake_case     :      Optional[int]						     =       """luke"""






							def __init__(						self  , __lowerCAmelCase=50267  , __lowerCAmelCase=500000  , __lowerCAmelCase=768  , __lowerCAmelCase=256  , __lowerCAmelCase=12  , __lowerCAmelCase=12  , __lowerCAmelCase=3072  , __lowerCAmelCase="gelu"  , __lowerCAmelCase=0.1  , __lowerCAmelCase=0.1  , __lowerCAmelCase=512  , __lowerCAmelCase=2  , __lowerCAmelCase=0.02  , __lowerCAmelCase=1E-12  , __lowerCAmelCase=True  , __lowerCAmelCase=None  , __lowerCAmelCase=1  , __lowerCAmelCase=0  , __lowerCAmelCase=2  , **__lowerCAmelCase  , ):
														super().__init__(pad_token_id=__lowerCAmelCase  , bos_token_id=__lowerCAmelCase  , eos_token_id=__lowerCAmelCase  , **__lowerCAmelCase  )

														UpperCamelCase__				     =			vocab_size
														UpperCamelCase__				     =			entity_vocab_size
														UpperCamelCase__				     =			hidden_size
														UpperCamelCase__				     =			entity_emb_size
														UpperCamelCase__				     =			num_hidden_layers
														UpperCamelCase__				     =			num_attention_heads
														UpperCamelCase__				     =			hidden_act
														UpperCamelCase__				     =			intermediate_size
														UpperCamelCase__				     =			hidden_dropout_prob
														UpperCamelCase__				     =			attention_probs_dropout_prob
														UpperCamelCase__				     =			max_position_embeddings
														UpperCamelCase__				     =			type_vocab_size
														UpperCamelCase__				     =			initializer_range
														UpperCamelCase__				     =			layer_norm_eps
														UpperCamelCase__				     =			use_entity_aware_attention
														UpperCamelCase__				     =			classifier_dropout




