




"""simple docstring"""



import os
import sys
import unittest


SCREAMING_SNAKE_CASE    =	os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
SCREAMING_SNAKE_CASE    =	os.path.join(git_repo_path, "src", "transformers")

SCREAMING_SNAKE_CASE    =	"\n{0} = None\n"

SCREAMING_SNAKE_CASE    =	"\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n"


SCREAMING_SNAKE_CASE    =	"\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"




class      UpperCAmelCase_  (						unittest.TestCase							):




    def 							__magic_name__							(   self						:	Optional[int]				)				->							Optional[int]:




     '''simple docstring'''

     A__	=    find_backend("    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"				)
     self.assertIsNone(snake_case_				)

     A__	=    find_backend("    if not is_tokenizers_available():"				)
     self.assertEqual(snake_case_     ,			"tokenizers"				)

     A__	=    find_backend("    if not is_tensorflow_text_available():"				)
     self.assertEqual(snake_case_     ,			"tensorflow_text"				)

     A__	=    find_backend("    if not (is_sentencepiece_available() and is_tokenizers_available()):"				)
     self.assertEqual(snake_case_     ,			"sentencepiece_and_tokenizers"				)

     A__	=    find_backend(
         "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"				)
     self.assertEqual(snake_case_     ,			"sentencepiece_and_tensorflow_text"				)

     A__	=    find_backend(
         "    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"				)
     self.assertEqual(snake_case_     ,			"sentencepiece_and_tokenizers_and_vision"				)




    def 							__magic_name__							(   self						:	Tuple				)				->							Optional[int]:




     '''simple docstring'''

     A__	=    read_init()
     # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
     self.assertIn("torch"     ,			snake_case_				)
     self.assertIn("tensorflow_text"     ,			snake_case_				)
     self.assertIn("sentencepiece_and_tokenizers"     ,			snake_case_				)

     # Likewise, we can't assert on the exact content of a key
     self.assertIn("BertModel"     ,			objects["torch"]				)
     self.assertIn("TFBertModel"     ,			objects["tf"]				)
     self.assertIn("FlaxBertModel"     ,			objects["flax"]				)
     self.assertIn("BertModel"     ,			objects["torch"]				)
     self.assertIn("TFBertTokenizer"     ,			objects["tensorflow_text"]				)
     self.assertIn("convert_slow_tokenizer"     ,			objects["sentencepiece_and_tokenizers"]				)




    def 							__magic_name__							(   self						:	Optional[int]				)				->							Optional[int]:




     '''simple docstring'''

     A__	=    create_dummy_object("CONSTANT"     ,			"'torch'"				)
     self.assertEqual(snake_case_     ,			"\nCONSTANT = None\n"				)

     A__	=    create_dummy_object("function"     ,			"'torch'"				)
     self.assertEqual(
         snake_case_     ,			"\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"				)

     A__	=    "\nclass FakeClass(metaclass=DummyObject):\n    _backends = 'torch'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, 'torch')\n"
     A__	=    create_dummy_object("FakeClass"     ,			"'torch'"				)
     self.assertEqual(snake_case_     ,			snake_case_				)




    def 							__magic_name__							(   self						:	Union[str, Any]				)				->							str:




     '''simple docstring'''

     A__	=    "# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, [\"torch\"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = [\"torch\"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, [\"torch\"])\n"
     A__	=    create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}				)
     self.assertEqual(dummy_files["torch"]     ,			snake_case_				)











"""simple docstring"""



from __future__ import annotations

SCREAMING_SNAKE_CASE    =	"#"




class      UpperCAmelCase_  :




    def __init__(   self						:	Dict				)				->							None:




     '''simple docstring'''

     A__	=    {}




    def 							__magic_name__							(   self						:	Optional[Any]     ,			snake_case_						:	str				)				->							None:




     '''simple docstring'''

     A__	=    self._trie
     for char in text:
      if char not in trie:
       A__	=    {}
      A__	=    trie[char]
     A__	=    True




    def 							__magic_name__							(   self						:	List[Any]     ,			snake_case_						:	str				)				->							tuple | list:




     '''simple docstring'''

     A__	=    self._trie
     for char in prefix:
      if char in trie:
       A__	=    trie[char]
      else:
       return []
     return self._elements(snake_case_				)




    def 							__magic_name__							(   self						:	Union[str, Any]     ,			snake_case_						:	dict				)				->							tuple:




     '''simple docstring'''

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






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







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		tuple:
 A__	=    trie.find_word(lowercase_						)
 return tuple(string + word for word in suffixes						)







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


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()





