





import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs





class 			A__   (							__snake_case     ):




   """simple docstring"""



   def __init__( self ,  lowercase ,  lowercase=None ,  lowercase=True ,  lowercase=None ,  **lowercase)      ->						Union[str, Any]:







          '''simple docstring'''

          a__						:     Any			=    parent
          a__						:     Tuple			=    config_class
          a__						:     Union[str, Any]			=    has_text_modality
          a__						:     Optional[int]			=    kwargs
          a__						:     Dict			=    common_properties

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







          '''simple docstring'''

          a__						:     Optional[Any]			=    self.config_class(**self.inputs_dict)
          a__						:     Optional[Any]			=    (
              ['hidden_size', 'num_attention_heads', 'num_hidden_layers']
              if self.common_properties is None
              else self.common_properties
          )

          # Add common fields for text models
          if self.has_text_modality:
                 common_properties.extend(['vocab_size'])

          # Test that config has the common properties as getters
          for prop in common_properties:
                 self.parent.assertTrue(hasattr(lowercase ,  lowercase) ,  msg=F'`{prop}` does not exist')

          # Test that config has the common properties as setter
          for idx, name in enumerate(lowercase):
                 try:
                        setattr(lowercase ,  lowercase ,  lowercase)
                        self.parent.assertEqual(
                            getattr(lowercase ,  lowercase) ,  lowercase ,  msg=F'`{name} value {idx} expected, but was {getattr(lowercase ,  lowercase)}')
                 except NotImplementedError:
                        # Some models might not be able to implement setters for common_properties
                        # In that case, a NotImplementedError is raised
                        pass

        # Test if config class can be called with Config(prop_name=..)
          for idx, name in enumerate(lowercase):
                 try:
                        a__						:     Any			=    self.config_class(**{name: idx})
                        self.parent.assertEqual(
                            getattr(lowercase ,  lowercase) ,  lowercase ,  msg=F'`{name} value {idx} expected, but was {getattr(lowercase ,  lowercase)}')
                 except NotImplementedError:
                        # Some models might not be able to implement setters for common_properties
                        # In that case, a NotImplementedError is raised
                        pass

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







          '''simple docstring'''

          a__						:     Optional[int]			=    self.config_class(**self.inputs_dict)
          a__						:     str			=    json.loads(config.to_json_string())
          for key, value in self.inputs_dict.items():
                 self.parent.assertEqual(obj[key] ,  lowercase)

   def 							__lowercase		( self)      ->						Dict:







          '''simple docstring'''

          a__						:     Any			=    self.config_class(**self.inputs_dict)

          with tempfile.TemporaryDirectory() as tmpdirname:
                 a__						:     Dict			=    os.path.join(lowercase ,  'config.json')
                 config_first.to_json_file(lowercase)
                 a__						:     int			=    self.config_class.from_json_file(lowercase)

          self.parent.assertEqual(config_second.to_dict() ,  config_first.to_dict())

   def 							__lowercase		( self)      ->						Dict:







          '''simple docstring'''

          a__						:     Any			=    self.config_class(**self.inputs_dict)

          with tempfile.TemporaryDirectory() as tmpdirname:
                 config_first.save_pretrained(lowercase)
                 a__						:     Tuple			=    self.config_class.from_pretrained(lowercase)

          self.parent.assertEqual(config_second.to_dict() ,  config_first.to_dict())

   def 							__lowercase		( self)      ->						Any:







          '''simple docstring'''

          a__						:     Tuple			=    self.config_class(**self.inputs_dict)

          a__						:     List[Any]			=    'test'
          with tempfile.TemporaryDirectory() as tmpdirname:
                 a__						:     List[Any]			=    os.path.join(lowercase ,  lowercase)
                 config_first.save_pretrained(lowercase)
                 a__						:     Optional[int]			=    self.config_class.from_pretrained(lowercase ,  subfolder=lowercase)

          self.parent.assertEqual(config_second.to_dict() ,  config_first.to_dict())

   def 							__lowercase		( self)      ->						Any:







          '''simple docstring'''

          a__						:     Union[str, Any]			=    self.config_class(**self.inputs_dict ,  num_labels=5)
          self.parent.assertEqual(len(config.idalabel) ,  5)
          self.parent.assertEqual(len(config.labelaid) ,  5)

          a__						:     int			=    3
          self.parent.assertEqual(len(config.idalabel) ,  3)
          self.parent.assertEqual(len(config.labelaid) ,  3)

   def 							__lowercase		( self)      ->						List[str]:







          '''simple docstring'''

          if self.config_class.is_composition:
                 return
          a__						:     Union[str, Any]			=    self.config_class()
          self.parent.assertIsNotNone(lowercase)

   def 							__lowercase		( self)      ->						Dict:







          '''simple docstring'''

          a__						:     int			=    copy.deepcopy(lowercase)
          a__						:     Union[str, Any]			=    self.config_class(**lowercase)
          a__						:     Any			=    []
          for key, value in config_common_kwargs.items():
                 if key == "torch_dtype":
                        if not is_torch_available():
                               continue
                        else:
                               import torch

                               if config.torch_dtype != torch.floataa:
                                      wrong_values.append(('torch_dtype', config.torch_dtype, torch.floataa))
                 elif getattr(lowercase ,  lowercase) != value:
                        wrong_values.append((key, getattr(lowercase ,  lowercase), value))

          if len(lowercase) > 0:
                 a__						:     Dict			=    '\n'.join([F'- {v[0]}: got {v[1]} instead of {v[2]}' for v in wrong_values])
                 raise ValueError(F'The following keys were not properly set in the config:\n{errors}')

   def 							__lowercase		( self)      ->						Tuple:







          '''simple docstring'''

          self.create_and_test_config_common_properties()
          self.create_and_test_config_to_json_string()
          self.create_and_test_config_to_json_file()
          self.create_and_test_config_from_and_save_pretrained()
          self.create_and_test_config_from_and_save_pretrained_subfolder()
          self.create_and_test_config_with_num_labels()
          self.check_config_can_be_init_without_params()
          self.check_config_arguments_init()









def A_     (		A__    )  ->		int:

       if not isinstance(A__		,				A__    ):
              raise TypeError('only integers accepted as input'    )
       else:
              a__						:     List[Any]			=    str(abs(A__    )    )
              a__						:     Optional[int]			=    [list(A__    ) for char in range(len(A__    )    )]
              for index in range(len(A__    )    ):
                     num_transpositions[index].pop(A__    )
              return max(
                  int(''.join(list(A__    )    )    ) for transposition in num_transpositions    )


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


