





from __future__ import annotations

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



class  A__       :





      def __init__(			self       ):
       '''simple docstring'''




       UpperCamelCase     : dict	     =       {}





      def 	__UpperCamelCase(			self	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : List[Any]	     =       self._trie
       for char in text:
        if char not in trie:
         UpperCamelCase     : Any	     =       {}
        UpperCamelCase     : int	     =       trie[char]
       UpperCamelCase     : Dict	     =       True





      def 	__UpperCamelCase(			self	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : List[Any]	     =       self._trie
       for char in prefix:
        if char in trie:
         UpperCamelCase     : List[Any]	     =       trie[char]
        else:
         return []
       return self._elements(A_       )





      def 	__UpperCamelCase(			self	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : Any	     =       []
       for c, v in d.items():
        UpperCamelCase     : List[Any]	     =       [" "] if c == END else [(c + s) for s in self._elements(A_       )]
        result.extend(A_       )
       return tuple(A_       )


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



def 		A_    (					_lowerCAmelCase					)						->			tuple:
 UpperCamelCase     : Optional[int]	     =       trie.find_word(_lowerCAmelCase					)
 return tuple(string + word for word in suffixes					)



def 		A_    (					)						->			None:
 print(autocomplete_using_trie("de"					)					)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowerCamelCase	:					str			  =					{"""configuration_encoder_decoder""": ["""EncoderDecoderConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Optional[Any]			  =					["""EncoderDecoderModel"""]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Optional[Any]			  =					["""TFEncoderDecoderModel"""]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Union[str, Any]			  =					["""FlaxEncoderDecoderModel"""]

if TYPE_CHECKING:
    from .configuration_encoder_decoder import EncoderDecoderConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_encoder_decoder import EncoderDecoderModel

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
    import sys

    __lowerCamelCase	:					Dict			  =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
