


'''simple docstring'''
from __future__ import annotations

lowerCAmelCase						=					"""#"""






class        lowerCAmelCase_  :






       def __init__( self   )->      None:
            _A				=							{}






       def   UpperCamelCase						( self			,     _UpperCamelCase   )->      None:
            _A				=							self._trie
            for char in text:
                 if char not in trie:
                      _A				=							{}
                 _A				=							trie[char]
            _A				=							True






       def   UpperCamelCase						( self			,     _UpperCamelCase   )->      tuple | list:
            _A				=							self._trie
            for char in prefix:
                 if char in trie:
                      _A				=							trie[char]
                 else:
                      return []
            return self._elements(_UpperCamelCase   )






       def   UpperCamelCase						( self			,     _UpperCamelCase   )->      tuple:
            _A				=							[]
            for c, v in d.items():
                 _A				=							[' '] if c == END else [(c + s) for s in self._elements(_UpperCamelCase   )]
                 result.extend(_UpperCamelCase   )
            return tuple(_UpperCamelCase   )






lowerCAmelCase						=					Trie()
lowerCAmelCase						=					("""depart""", """detergent""", """daring""", """dog""", """deer""", """deal""")
for word in words:
    trie.insert_word(word)

def 					lowerCamelCase_ ( __UpperCamelCase					:       str		)					->	tuple:







     """simple docstring"""
     _A				=							trie.find_word(__UpperCamelCase		)
     return tuple(string + word for word in suffixes		)

def 					lowerCamelCase_ ( )					->	None:







     """simple docstring"""
     print(autocomplete_using_trie('de'		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()









'''simple docstring'''
from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip





