



"""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  _UpperCAmelCase (    lowerCAmelCase__):

 def __init__(  self	: Dict						,  lowercase_	: List[str]						,  lowercase_	: Union[str, Any]=None						,  lowercase_	: int=True						,  lowercase_	: Dict=None						,  **lowercase_	: Union[str, Any]       ):
     snake_case_				:  Dict       =			parent
     snake_case_				:  Union[str, Any]       =			config_class
     snake_case_				:  List[Any]       =			has_text_modality
     snake_case_				:  int       =			kwargs
     snake_case_				:  Optional[int]       =			common_properties

 def 		_snake_case      (  self	: Tuple       ):
     snake_case_				:  Dict       =			self.config_class(**self.inputs_dict       )
     snake_case_				:  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:
             snake_case_				:  Union[str, 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 		_snake_case      (  self	: Optional[int]       ):
     snake_case_				:  List[str]       =			self.config_class(**self.inputs_dict       )
     snake_case_				:  str       =			json.loads(config.to_json_string()       )
     for key, value in self.inputs_dict.items():
         self.parent.assertEqual(obj[key]						,  lowercase_       )

 def 		_snake_case      (  self	: Dict       ):
     snake_case_				:  List[Any]       =			self.config_class(**self.inputs_dict       )

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

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

 def 		_snake_case      (  self	: List[str]       ):
     snake_case_				:  Any       =			self.config_class(**self.inputs_dict       )

     with tempfile.TemporaryDirectory() as tmpdirname:
         config_first.save_pretrained(lowercase_       )
         snake_case_				:  List[str]       =			self.config_class.from_pretrained(lowercase_       )

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

 def 		_snake_case      (  self	: List[Any]       ):
     snake_case_				:  Any       =			self.config_class(**self.inputs_dict       )

     snake_case_				:  List[str]       =			'''test'''
     with tempfile.TemporaryDirectory() as tmpdirname:
         snake_case_				:  List[str]       =			os.path.join(lowercase_						,  lowercase_       )
         config_first.save_pretrained(lowercase_       )
         snake_case_				:  Union[str, Any]       =			self.config_class.from_pretrained(lowercase_						,  subfolder=lowercase_       )

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

 def 		_snake_case      (  self	: Optional[Any]       ):
     snake_case_				:  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       )

     snake_case_				:  Dict       =			3
     self.parent.assertEqual(len(config.idalabel       )						,  3       )
     self.parent.assertEqual(len(config.labelaid       )						,  3       )

 def 		_snake_case      (  self	: Optional[int]       ):
     if self.config_class.is_composition:
         return
     snake_case_				:  Dict       =			self.config_class()
     self.parent.assertIsNotNone(lowercase_       )

 def 		_snake_case      (  self	: Union[str, Any]       ):
     snake_case_				:  str       =			copy.deepcopy(lowercase_       )
     snake_case_				:  Optional[Any]       =			self.config_class(**lowercase_       )
     snake_case_				:  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(lowercase_						,  lowercase_       ) != value:
             wrong_values.append((key, getattr(lowercase_						,  lowercase_       ), value)       )

     if len(lowercase_       ) > 0:
         snake_case_				:  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 		_snake_case      (  self	: Union[str, Any]       ):
     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()










"""simple docstring"""

lowercase__					:						Union[str, Any]												=			{
    '''Pillow''': '''Pillow''',
    '''accelerate''': '''accelerate>=0.11.0''',
    '''compel''': '''compel==0.1.8''',
    '''black''': '''black~=23.1''',
    '''datasets''': '''datasets''',
    '''filelock''': '''filelock''',
    '''flax''': '''flax>=0.4.1''',
    '''hf-doc-builder''': '''hf-doc-builder>=0.3.0''',
    '''huggingface-hub''': '''huggingface-hub>=0.13.2''',
    '''requests-mock''': '''requests-mock==1.10.0''',
    '''importlib_metadata''': '''importlib_metadata''',
    '''invisible-watermark''': '''invisible-watermark''',
    '''isort''': '''isort>=5.5.4''',
    '''jax''': '''jax>=0.2.8,!=0.3.2''',
    '''jaxlib''': '''jaxlib>=0.1.65''',
    '''Jinja2''': '''Jinja2''',
    '''k-diffusion''': '''k-diffusion>=0.0.12''',
    '''torchsde''': '''torchsde''',
    '''note_seq''': '''note_seq''',
    '''librosa''': '''librosa''',
    '''numpy''': '''numpy''',
    '''omegaconf''': '''omegaconf''',
    '''parameterized''': '''parameterized''',
    '''protobuf''': '''protobuf>=3.20.3,<4''',
    '''pytest''': '''pytest''',
    '''pytest-timeout''': '''pytest-timeout''',
    '''pytest-xdist''': '''pytest-xdist''',
    '''ruff''': '''ruff>=0.0.241''',
    '''safetensors''': '''safetensors''',
    '''sentencepiece''': '''sentencepiece>=0.1.91,!=0.1.92''',
    '''scipy''': '''scipy''',
    '''onnx''': '''onnx''',
    '''regex''': '''regex!=2019.12.17''',
    '''requests''': '''requests''',
    '''tensorboard''': '''tensorboard''',
    '''torch''': '''torch>=1.4''',
    '''torchvision''': '''torchvision''',
    '''transformers''': '''transformers>=4.25.1''',
    '''urllib3''': '''urllib3<=2.0.0''',
}





