

import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs





class  __lowerCAmelCase     (					SCREAMING_SNAKE_CASE							):




  def __init__(				self							,   lowerCAmelCase							,   lowerCAmelCase=None							,   lowerCAmelCase=True							,   lowerCAmelCase=None							,   **lowerCAmelCase					)  -> Union[str, Any]:
        '''simple docstring'''






        _lowercase	       =parent
        _lowercase	       =config_class
        _lowercase	       =has_text_modality
        _lowercase	       =kwargs
        _lowercase	       =common_properties




  def   A__     (				self					)  -> Dict:
        '''simple docstring'''






        _lowercase	       =self.config_class(**self.inputs_dict					)
        _lowercase	       =(
            ['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:
                    _lowercase	       =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   A__     (				self					)  -> Tuple:
        '''simple docstring'''






        _lowercase	       =self.config_class(**self.inputs_dict					)
        _lowercase	       =json.loads(config.to_json_string()					)
        for key, value in self.inputs_dict.items():
              self.parent.assertEqual(obj[key]							,   lowerCAmelCase					)




  def   A__     (				self					)  -> int:
        '''simple docstring'''






        _lowercase	       =self.config_class(**self.inputs_dict					)

        with tempfile.TemporaryDirectory() as tmpdirname:
              _lowercase	       =os.path.join(lowerCAmelCase							,   'config.json'					)
              config_first.to_json_file(lowerCAmelCase					)
              _lowercase	       =self.config_class.from_json_file(lowerCAmelCase					)

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




  def   A__     (				self					)  -> int:
        '''simple docstring'''






        _lowercase	       =self.config_class(**self.inputs_dict					)

        with tempfile.TemporaryDirectory() as tmpdirname:
              config_first.save_pretrained(lowerCAmelCase					)
              _lowercase	       =self.config_class.from_pretrained(lowerCAmelCase					)

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




  def   A__     (				self					)  -> List[Any]:
        '''simple docstring'''






        _lowercase	       =self.config_class(**self.inputs_dict					)

        _lowercase	       ='test'
        with tempfile.TemporaryDirectory() as tmpdirname:
              _lowercase	       =os.path.join(lowerCAmelCase							,   lowerCAmelCase					)
              config_first.save_pretrained(lowerCAmelCase					)
              _lowercase	       =self.config_class.from_pretrained(lowerCAmelCase							,   subfolder=lowerCAmelCase					)

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




  def   A__     (				self					)  -> Tuple:
        '''simple docstring'''






        _lowercase	       =self.config_class(**self.inputs_dict							,   num_labels=5					)
        self.parent.assertEqual(len(config.idalabel					)							,   5					)
        self.parent.assertEqual(len(config.labelaid					)							,   5					)

        _lowercase	       =3
        self.parent.assertEqual(len(config.idalabel					)							,   3					)
        self.parent.assertEqual(len(config.labelaid					)							,   3					)




  def   A__     (				self					)  -> Optional[int]:
        '''simple docstring'''






        if self.config_class.is_composition:
              return
        _lowercase	       =self.config_class()
        self.parent.assertIsNotNone(lowerCAmelCase					)




  def   A__     (				self					)  -> Union[str, Any]:
        '''simple docstring'''






        _lowercase	       =copy.deepcopy(lowerCAmelCase					)
        _lowercase	       =self.config_class(**lowerCAmelCase					)
        _lowercase	       =[]
        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:
              _lowercase	       ='\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   A__     (				self					)  -> Optional[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()





def      a      (			A__	:   str      ,   A__	:   bool = False     )    ->      str:





      """simple docstring"""



      if not isinstance(A__      ,   A__     ):
            _lowercase	       =F'''Expected string as input, found {type(A__     )}'''
            raise ValueError(A__     )
      if not isinstance(A__      ,   A__     ):
            _lowercase	       =F'''Expected boolean as use_pascal parameter, found {type(A__     )}'''
            raise ValueError(A__     )

      _lowercase	       =input_str.split('_'     )

      _lowercase	       =0 if use_pascal else 1

      _lowercase	       =words[start_index:]

      _lowercase	       =[word[0].upper() + word[1:] for word in words_to_capitalize]

      _lowercase	       ='' if use_pascal else words[0]

      return "".join([initial_word, *capitalized_words]     )


if __name__ == "__main__":
  from doctest import testmod

  testmod()


