


'''simple docstring'''





import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs

class       __magic_name__	(     __lowerCAmelCase):


     def __init__(      self							:     Union[str, Any]							,	lowerCamelCase__							:     Optional[int]							,	lowerCamelCase__							:     Optional[Any]=None							,	lowerCamelCase__							:     int=True							,	lowerCamelCase__							:     str=None							,	**lowerCamelCase__							:     List[Any]			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   parent
      UpperCamelCase__					:    str          =   config_class
      UpperCamelCase__					:    List[Any]          =   has_text_modality
      UpperCamelCase__					:    List[str]          =   kwargs
      UpperCamelCase__					:    Any          =   common_properties


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





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.config_class(**self.inputs_dict			)
      UpperCamelCase__					:    Dict          =   (
          ['''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(lowerCamelCase__							,	lowerCamelCase__			)							,	msg=F"`{prop}` does not exist"			)

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


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      Dict:





      '''simple docstring'''






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


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      Dict:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   self.config_class(**self.inputs_dict			)

      with tempfile.TemporaryDirectory() as tmpdirname:
       UpperCamelCase__					:    Optional[int]          =   os.path.join(lowerCamelCase__							,	'''config.json'''			)
       config_first.to_json_file(lowerCamelCase__			)
       UpperCamelCase__					:    int          =   self.config_class.from_json_file(lowerCamelCase__			)

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


     def      UpperCAmelCase__	(      self							:     Any			)  ->      int:





      '''simple docstring'''






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

      with tempfile.TemporaryDirectory() as tmpdirname:
       config_first.save_pretrained(lowerCamelCase__			)
       UpperCamelCase__					:    Union[str, Any]          =   self.config_class.from_pretrained(lowerCamelCase__			)

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


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





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   self.config_class(**self.inputs_dict			)

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

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


     def      UpperCAmelCase__	(      self							:     str			)  ->      Any:





      '''simple docstring'''






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

      UpperCamelCase__					:    List[Any]          =   3
      self.parent.assertEqual(len(config.idalabel			)							,	3			)
      self.parent.assertEqual(len(config.labelaid			)							,	3			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      Any:





      '''simple docstring'''






      if self.config_class.is_composition:
       return
      UpperCamelCase__					:    List[Any]          =   self.config_class()
      self.parent.assertIsNotNone(lowerCamelCase__			)


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





      '''simple docstring'''






      UpperCamelCase__					:    str          =   copy.deepcopy(lowerCamelCase__			)
      UpperCamelCase__					:    List[Any]          =   self.config_class(**lowerCamelCase__			)
      UpperCamelCase__					:    Optional[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(lowerCamelCase__							,	lowerCamelCase__			) != value:
        wrong_values.append((key, getattr(lowerCamelCase__							,	lowerCamelCase__			), value)			)

      if len(lowerCamelCase__			) > 0:
       UpperCamelCase__					:    List[str]          =   '''\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      UpperCAmelCase__	(      self							:     Any			)  ->      Any:





      '''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()






import functools

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    str          =   len(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Optional[Any]          =   len(SCREAMING_SNAKE_CASE     )

 @functools.cache
 def min_distance(SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				int     ) -> int:
  # if first word index is overflow - delete all from the second word
  if indexa >= len_worda:
   return len_worda - indexa
  # if second word index is overflow - delete all from the first word
  if indexa >= len_worda:
   return len_worda - indexa
  UpperCamelCase__					:    Tuple          =   int(worda[indexa] != worda[indexa]     )  # current letters not identical
  return min(
      1 + min_distance(indexa + 1    , SCREAMING_SNAKE_CASE     )    , 1 + min_distance(SCREAMING_SNAKE_CASE    , indexa + 1     )    , diff + min_distance(indexa + 1    , indexa + 1     )    , )

 return min_distance(0    , 0     )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


