

"""simple docstring"""






from __future__ import annotations

snake_case_   :   Optional[int]        =       """#"""







class       snake_case__  :







			def __init__(			self			: Any  ):





								'''simple docstring'''



								UpperCAmelCase			:   dict      =				{}







			def 			__lowerCAmelCase				(			self			: str			,  lowercase			: str  ):





								'''simple docstring'''



								UpperCAmelCase			:   str      =				self._trie
								for char in text:
													if char not in trie:
																		UpperCAmelCase			:   str      =				{}
													UpperCAmelCase			:   Tuple      =				trie[char]
								UpperCAmelCase			:   int      =				True







			def 			__lowerCAmelCase				(			self			: str			,  lowercase			: str  ):





								'''simple docstring'''



								UpperCAmelCase			:   Union[str, Any]      =				self._trie
								for char in prefix:
													if char in trie:
																		UpperCAmelCase			:   Optional[Any]      =				trie[char]
													else:
																		return []
								return self._elements(lowercase  )







			def 			__lowerCAmelCase				(			self			: List[Any]			,  lowercase			: dict  ):





								'''simple docstring'''



								UpperCAmelCase			:   str      =				[]
								for c, v in d.items():
													UpperCAmelCase			:   Optional[int]      =				[" "] if c == END else [(c + s) for s in self._elements(lowercase  )]
													result.extend(lowercase  )
								return tuple(lowercase  )

snake_case_   :   int        =       Trie()
snake_case_   :   List[Any]        =       ("""depart""", """detergent""", """daring""", """dog""", """deer""", """deal""")
for word in words:
	trie.insert_word(word)



def   lowercase_	(    _lowercase       :		str	):




					'''simple docstring'''






					UpperCAmelCase			:   str      =				trie.find_word(_lowercase	)
					return tuple(string + word for word in suffixes	)



def   lowercase_	(    ):




					'''simple docstring'''






					print(autocomplete_using_trie("de"	)	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()





"""simple docstring"""






from typing import TYPE_CHECKING

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


snake_case_   :   Dict        =       {
    """configuration_mvp""": ["""MVP_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MvpConfig""", """MvpOnnxConfig"""],
    """tokenization_mvp""": ["""MvpTokenizer"""],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_   :   List[Any]        =       ["""MvpTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_   :   Any        =       [
	    """MVP_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """MvpForCausalLM""",
	    """MvpForConditionalGeneration""",
	    """MvpForQuestionAnswering""",
	    """MvpForSequenceClassification""",
	    """MvpModel""",
	    """MvpPreTrainedModel""",
	]

if TYPE_CHECKING:
	from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
	from .tokenization_mvp import MvpTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mvp_fast import MvpTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mvp import (
		    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MvpForCausalLM,
		    MvpForConditionalGeneration,
		    MvpForQuestionAnswering,
		    MvpForSequenceClassification,
		    MvpModel,
		    MvpPreTrainedModel,
		)

else:
	import sys

	snake_case_   :   List[str]        =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


