



'''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        lowerCAmelCase_(				SCREAMING_SNAKE_CASE_     ):
  '''simple docstring'''




  def __init__(    self  ,__UpperCAmelCase  ,__UpperCAmelCase=None  ,__UpperCAmelCase=True  ,__UpperCAmelCase=None  ,**__UpperCAmelCase      )    ->		Dict:
      lowerCAmelCase__ :  List[str]							      =					parent
      lowerCAmelCase__ :  Optional[Any]							      =					config_class
      lowerCAmelCase__ :  List[str]							      =					has_text_modality
      lowerCAmelCase__ :  Union[str, Any]							      =					kwargs
      lowerCAmelCase__ :  str							      =					common_properties




  def 							UpperCAmelCase_	(    self      )    ->		List[Any]:
      lowerCAmelCase__ :  int							      =					self.config_class(**self.inputs_dict      )
      lowerCAmelCase__ :  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(__UpperCAmelCase  ,__UpperCAmelCase      )  ,msg=F"""`{prop}` does not exist"""      )

      # Test that config has the common properties as setter
      for idx, name in enumerate(__UpperCAmelCase      ):
          try:
              setattr(__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase      )
              self.parent.assertEqual(
                  getattr(__UpperCAmelCase  ,__UpperCAmelCase      )  ,__UpperCAmelCase  ,msg=F"""`{name} value {idx} expected, but was {getattr(__UpperCAmelCase  ,__UpperCAmelCase      )}"""      )
          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(__UpperCAmelCase      ):
          try:
              lowerCAmelCase__ :  str							      =					self.config_class(**{name: idx}      )
              self.parent.assertEqual(
                  getattr(__UpperCAmelCase  ,__UpperCAmelCase      )  ,__UpperCAmelCase  ,msg=F"""`{name} value {idx} expected, but was {getattr(__UpperCAmelCase  ,__UpperCAmelCase      )}"""      )
          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      )    ->		List[str]:
      lowerCAmelCase__ :  str							      =					self.config_class(**self.inputs_dict      )
      lowerCAmelCase__ :  Union[str, Any]							      =					json.loads(config.to_json_string()      )
      for key, value in self.inputs_dict.items():
          self.parent.assertEqual(obj[key]  ,__UpperCAmelCase      )




  def 							UpperCAmelCase_	(    self      )    ->		Tuple:
      lowerCAmelCase__ :  int							      =					self.config_class(**self.inputs_dict      )

      with tempfile.TemporaryDirectory() as tmpdirname:
          lowerCAmelCase__ :  Union[str, Any]							      =					os.path.join(__UpperCAmelCase  ,"""config.json"""      )
          config_first.to_json_file(__UpperCAmelCase      )
          lowerCAmelCase__ :  str							      =					self.config_class.from_json_file(__UpperCAmelCase      )

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




  def 							UpperCAmelCase_	(    self      )    ->		Optional[int]:
      lowerCAmelCase__ :  Optional[Any]							      =					self.config_class(**self.inputs_dict      )

      with tempfile.TemporaryDirectory() as tmpdirname:
          config_first.save_pretrained(__UpperCAmelCase      )
          lowerCAmelCase__ :  Optional[Any]							      =					self.config_class.from_pretrained(__UpperCAmelCase      )

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




  def 							UpperCAmelCase_	(    self      )    ->		List[Any]:
      lowerCAmelCase__ :  List[str]							      =					self.config_class(**self.inputs_dict      )

      lowerCAmelCase__ :  Union[str, Any]							      =					"""test"""
      with tempfile.TemporaryDirectory() as tmpdirname:
          lowerCAmelCase__ :  List[Any]							      =					os.path.join(__UpperCAmelCase  ,__UpperCAmelCase      )
          config_first.save_pretrained(__UpperCAmelCase      )
          lowerCAmelCase__ :  Optional[int]							      =					self.config_class.from_pretrained(__UpperCAmelCase  ,subfolder=__UpperCAmelCase      )

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




  def 							UpperCAmelCase_	(    self      )    ->		Dict:
      lowerCAmelCase__ :  Dict							      =					self.config_class(**self.inputs_dict  ,num_labels=5      )
      self.parent.assertEqual(len(config.idalabel      )  ,5      )
      self.parent.assertEqual(len(config.labelaid      )  ,5      )

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




  def 							UpperCAmelCase_	(    self      )    ->		str:
      if self.config_class.is_composition:
          return
      lowerCAmelCase__ :  Tuple							      =					self.config_class()
      self.parent.assertIsNotNone(__UpperCAmelCase      )




  def 							UpperCAmelCase_	(    self      )    ->		List[str]:
      lowerCAmelCase__ :  Optional[Any]							      =					copy.deepcopy(__UpperCAmelCase      )
      lowerCAmelCase__ :  int							      =					self.config_class(**__UpperCAmelCase      )
      lowerCAmelCase__ :  Dict							      =					[]
      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(__UpperCAmelCase  ,__UpperCAmelCase      ) != value:
              wrong_values.append((key, getattr(__UpperCAmelCase  ,__UpperCAmelCase      ), value)      )

      if len(__UpperCAmelCase      ) > 0:
          lowerCAmelCase__ :  Any							      =					"""\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      )    ->		Tuple:
      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 warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


snake_case_			  = logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    def __init__(      self						,   *a						,   **a):
         warnings.warn(
             'The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use DPTImageProcessor instead.'						,   a						,   )
         super().__init__(*a						,   **a)

