

'''simple docstring'''







from __future__ import annotations

__lowerCamelCase						    =      '''#'''


class    A__ :



    def __init__(   self    )  -> None:





           '''simple docstring'''
           A_		   = {}



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> None:





           '''simple docstring'''
           A_		   = self._trie
           for char in text:
                  if char not in trie:
                         A_		   = {}
                  A_		   = trie[char]
           A_		   = True



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> tuple | list:





           '''simple docstring'''
           A_		   = self._trie
           for char in prefix:
                  if char in trie:
                         A_		   = trie[char]
                  else:
                         return []
           return self._elements(UpperCamelCase__    )







    def    snake_case_     (   self						,			UpperCamelCase__    )  -> tuple:





           '''simple docstring'''
           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  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     tuple:
       A_		   = trie.find_word(UpperCAmelCase__			)
       return tuple(string + word for word in suffixes			)
def  UpperCAmelCase__      ( )     ->     None:
       print(autocomplete_using_trie("""de"""			)			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()



'''simple docstring'''







from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch

from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch


@require_torch
@require_tf
class    A__ ( _snake_case     ):



    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           A_		   = SMALL_MODEL_IDENTIFIER
           A_		   = """pt"""
           A_		   = """tf"""



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> Tuple:





           '''simple docstring'''
           A_		   = AutoModel.from_pretrained(self.test_model    )
           model_pt.save_pretrained(UpperCamelCase__    )



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> List[str]:





           '''simple docstring'''
           A_		   = TFAutoModel.from_pretrained(self.test_model						,			from_pt=UpperCamelCase__    )
           model_tf.save_pretrained(UpperCamelCase__    )



    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           A_		   = """mock_framework"""

           # Framework provided - return whatever the user provides
           A_		   = FeaturesManager.determine_framework(self.test_model						,			UpperCamelCase__    )
           self.assertEqual(UpperCamelCase__						,			UpperCamelCase__    )

           # Local checkpoint and framework provided - return provided framework
           # PyTorch checkpoint
           with TemporaryDirectory() as local_pt_ckpt:
                  self._setup_pt_ckpt(UpperCamelCase__    )
                  A_		   = FeaturesManager.determine_framework(UpperCamelCase__						,			UpperCamelCase__    )
                  self.assertEqual(UpperCamelCase__						,			UpperCamelCase__    )

           # TensorFlow checkpoint
           with TemporaryDirectory() as local_tf_ckpt:
                  self._setup_tf_ckpt(UpperCamelCase__    )
                  A_		   = FeaturesManager.determine_framework(UpperCamelCase__						,			UpperCamelCase__    )
                  self.assertEqual(UpperCamelCase__						,			UpperCamelCase__    )



    def    snake_case_     (   self    )  -> int:





           '''simple docstring'''
           # PyTorch checkpoint
           with TemporaryDirectory() as local_pt_ckpt:
                  self._setup_pt_ckpt(UpperCamelCase__    )
                  A_		   = FeaturesManager.determine_framework(UpperCamelCase__    )
                  self.assertEqual(UpperCamelCase__						,			self.framework_pt    )

           # TensorFlow checkpoint
           with TemporaryDirectory() as local_tf_ckpt:
                  self._setup_tf_ckpt(UpperCamelCase__    )
                  A_		   = FeaturesManager.determine_framework(UpperCamelCase__    )
                  self.assertEqual(UpperCamelCase__						,			self.framework_tf    )

           # Invalid local checkpoint
           with TemporaryDirectory() as local_invalid_ckpt:
                  with self.assertRaises(UpperCamelCase__    ):
                         A_		   = FeaturesManager.determine_framework(UpperCamelCase__    )







    def    snake_case_     (   self    )  -> List[Any]:





           '''simple docstring'''
           A_		   = MagicMock(return_value=UpperCamelCase__    )
           with patch("""transformers.onnx.features.is_tf_available"""						,			UpperCamelCase__    ):
                  A_		   = FeaturesManager.determine_framework(self.test_model    )
                  self.assertEqual(UpperCamelCase__						,			self.framework_pt    )

           # PyTorch not in environment -> use TensorFlow
           A_		   = MagicMock(return_value=UpperCamelCase__    )
           with patch("""transformers.onnx.features.is_torch_available"""						,			UpperCamelCase__    ):
                  A_		   = FeaturesManager.determine_framework(self.test_model    )
                  self.assertEqual(UpperCamelCase__						,			self.framework_tf    )

           # Both in environment -> use PyTorch
           A_		   = MagicMock(return_value=UpperCamelCase__    )
           A_		   = MagicMock(return_value=UpperCamelCase__    )
           with patch("""transformers.onnx.features.is_tf_available"""						,			UpperCamelCase__    ), patch(
               """transformers.onnx.features.is_torch_available"""						,			UpperCamelCase__    ):
                  A_		   = FeaturesManager.determine_framework(self.test_model    )
                  self.assertEqual(UpperCamelCase__						,			self.framework_pt    )

           # Both not in environment -> raise error
           A_		   = MagicMock(return_value=UpperCamelCase__    )
           A_		   = MagicMock(return_value=UpperCamelCase__    )
           with patch("""transformers.onnx.features.is_tf_available"""						,			UpperCamelCase__    ), patch(
               """transformers.onnx.features.is_torch_available"""						,			UpperCamelCase__    ):
                  with self.assertRaises(UpperCamelCase__    ):
                         A_		   = FeaturesManager.determine_framework(self.test_model    )
