"""simple docstring"""






import functools
from typing import Any



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):

				# Validation
				if not isinstance(lowerCamelCase					,			lowerCamelCase       ) or len(lowerCamelCase       ) == 0:
								raise ValueError('the string should be not empty string'       )

				if not isinstance(lowerCamelCase					,			lowerCamelCase       ) or not all(
				    isinstance(lowerCamelCase					,			lowerCamelCase       ) and len(lowerCamelCase       ) > 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(lowerCamelCase       )

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

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

												if trie_node is None:
																return False

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

								return False

				return is_breakable(0       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


snake_case							:       str     			=      {
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:       Any     			=      [
						    '''RagModel''',
						    '''RagPreTrainedModel''',
						    '''RagSequenceForGeneration''',
						    '''RagTokenForGeneration''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:       Optional[int]     			=      [
						    '''TFRagModel''',
						    '''TFRagPreTrainedModel''',
						    '''TFRagSequenceForGeneration''',
						    '''TFRagTokenForGeneration''',
						]


if TYPE_CHECKING:
						from .configuration_rag import RagConfig
						from .retrieval_rag import RagRetriever
						from .tokenization_rag import RagTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_rag import (
												    TFRagModel,
												    TFRagPreTrainedModel,
												    TFRagSequenceForGeneration,
												    TFRagTokenForGeneration,
												)

else:
						import sys

						snake_case							:       int     			=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




