





"""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    _lowerCAmelCase  (	a			):
       """simple docstring"""




       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Tuple											=				SMALL_MODEL_IDENTIFIER
         lowerCAmelCase__     :List[Any]											=				'pt'
         lowerCAmelCase__     :Optional[Any]											=				'tf'






       def 	snake_case		(       self       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				AutoModel.from_pretrained(self.test_model )
         model_pt.save_pretrained(__UpperCAmelCase )






       def 	snake_case		(       self       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Dict											=				TFAutoModel.from_pretrained(self.test_model       ,					from_pt=__UpperCAmelCase )
         model_tf.save_pretrained(__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Tuple											=				'mock_framework'

         # Framework provided - return whatever the user provides
         lowerCAmelCase__     :Dict											=				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 )
           lowerCAmelCase__     :int											=				FeaturesManager.determine_framework(__UpperCAmelCase       ,					__UpperCAmelCase )
           self.assertEqual(__UpperCAmelCase       ,					__UpperCAmelCase )

         # TensorFlow checkpoint
         with TemporaryDirectory() as local_tf_ckpt:
           self._setup_tf_ckpt(__UpperCAmelCase )
           lowerCAmelCase__     :List[Any]											=				FeaturesManager.determine_framework(__UpperCAmelCase       ,					__UpperCAmelCase )
           self.assertEqual(__UpperCAmelCase       ,					__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         with TemporaryDirectory() as local_pt_ckpt:
           self._setup_pt_ckpt(__UpperCAmelCase )
           lowerCAmelCase__     :List[Any]											=				FeaturesManager.determine_framework(__UpperCAmelCase )
           self.assertEqual(__UpperCAmelCase       ,					self.framework_pt )

         # TensorFlow checkpoint
         with TemporaryDirectory() as local_tf_ckpt:
           self._setup_tf_ckpt(__UpperCAmelCase )
           lowerCAmelCase__     :List[Any]											=				FeaturesManager.determine_framework(__UpperCAmelCase )
           self.assertEqual(__UpperCAmelCase       ,					self.framework_tf )

         # Invalid local checkpoint
         with TemporaryDirectory() as local_invalid_ckpt:
           with self.assertRaises(__UpperCAmelCase ):
             lowerCAmelCase__     :Union[str, Any]											=				FeaturesManager.determine_framework(__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Dict											=				MagicMock(return_value=__UpperCAmelCase )
         with patch('transformers.onnx.features.is_tf_available'       ,					__UpperCAmelCase ):
           lowerCAmelCase__     :List[Any]											=				FeaturesManager.determine_framework(self.test_model )
           self.assertEqual(__UpperCAmelCase       ,					self.framework_pt )

         # PyTorch not in environment -> use TensorFlow
         lowerCAmelCase__     :List[Any]											=				MagicMock(return_value=__UpperCAmelCase )
         with patch('transformers.onnx.features.is_torch_available'       ,					__UpperCAmelCase ):
           lowerCAmelCase__     :Union[str, Any]											=				FeaturesManager.determine_framework(self.test_model )
           self.assertEqual(__UpperCAmelCase       ,					self.framework_tf )

         # Both in environment -> use PyTorch
         lowerCAmelCase__     :Any											=				MagicMock(return_value=__UpperCAmelCase )
         lowerCAmelCase__     :int											=				MagicMock(return_value=__UpperCAmelCase )
         with patch('transformers.onnx.features.is_tf_available'       ,					__UpperCAmelCase ), patch(
             'transformers.onnx.features.is_torch_available'       ,					__UpperCAmelCase ):
           lowerCAmelCase__     :str											=				FeaturesManager.determine_framework(self.test_model )
           self.assertEqual(__UpperCAmelCase       ,					self.framework_pt )

         # Both not in environment -> raise error
         lowerCAmelCase__     :Optional[Any]											=				MagicMock(return_value=__UpperCAmelCase )
         lowerCAmelCase__     :Tuple											=				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 ):
             lowerCAmelCase__     :Union[str, Any]											=				FeaturesManager.determine_framework(self.test_model )







"""simple docstring"""





import re
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->list:





  """simple docstring"""


  return [char.split() for char in re.split(r'[^ a-z A-Z 0-9 \s]'	,  str_     )]
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->str:





  """simple docstring"""


  lowerCAmelCase__     :Optional[Any]											=				split_input(str_     )
  return "".join(
      [''.join([char.capitalize() for char in sub_str]     ) for sub_str in string_split]     )
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->str:





  """simple docstring"""


  try:
    lowerCAmelCase__     :Any											=				split_input(_SCREAMING_SNAKE_CASE     )
    if upper:
      lowerCAmelCase__     :str											=				''.join(
          [
              separator.join([char.upper() for char in sub_str]     )
              for sub_str in string_split
          ]     )
    else:
      lowerCAmelCase__     :int											=				''.join(
          [
              separator.join([char.lower() for char in sub_str]     )
              for sub_str in string_split
          ]     )
    return res_str
  except IndexError:
    return "not valid string"
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->str:





  """simple docstring"""


  return to_simple_case(_SCREAMING_SNAKE_CASE     )
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->str:





  """simple docstring"""


  try:
    lowerCAmelCase__     :str											=				to_simple_case(_SCREAMING_SNAKE_CASE     )
    return res_str[0].lower() + res_str[1:]
  except IndexError:
    return "not valid string"
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->str:





  """simple docstring"""


  return to_complex_case(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  '_'     )
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->str:





  """simple docstring"""


  return to_complex_case(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  '-'     )


if __name__ == "__main__":
  __import__("""doctest""").testmod()
