
import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs




class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







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







    """simple docstring"""






    __magic_name__				     =       parent
    __magic_name__				     =       config_class
    __magic_name__				     =       has_text_modality
    __magic_name__				     =       kwargs
    __magic_name__				     =       common_properties
  def 							_lowercase							( self			: List[Any]    )			->	str:







    """simple docstring"""






    __magic_name__				     =       self.config_class(**self.inputs_dict    )
    __magic_name__				     =       (
        ["""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:
        __magic_name__				     =       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 							_lowercase							( self			: List[str]    )			->	Any:







    """simple docstring"""






    __magic_name__				     =       self.config_class(**self.inputs_dict    )
    __magic_name__				     =       json.loads(config.to_json_string()    )
    for key, value in self.inputs_dict.items():
      self.parent.assertEqual(obj[key]			,							UpperCamelCase__    )
  def 							_lowercase							( self			: Tuple    )			->	Optional[Any]:







    """simple docstring"""






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

    with tempfile.TemporaryDirectory() as tmpdirname:
      __magic_name__				     =       os.path.join(UpperCamelCase__			,							"""config.json"""    )
      config_first.to_json_file(UpperCamelCase__    )
      __magic_name__				     =       self.config_class.from_json_file(UpperCamelCase__    )

    self.parent.assertEqual(config_second.to_dict()			,							config_first.to_dict()    )
  def 							_lowercase							( self			: int    )			->	List[str]:







    """simple docstring"""






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

    with tempfile.TemporaryDirectory() as tmpdirname:
      config_first.save_pretrained(UpperCamelCase__    )
      __magic_name__				     =       self.config_class.from_pretrained(UpperCamelCase__    )

    self.parent.assertEqual(config_second.to_dict()			,							config_first.to_dict()    )
  def 							_lowercase							( self			: str    )			->	Tuple:







    """simple docstring"""






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

    __magic_name__				     =       """test"""
    with tempfile.TemporaryDirectory() as tmpdirname:
      __magic_name__				     =       os.path.join(UpperCamelCase__			,							UpperCamelCase__    )
      config_first.save_pretrained(UpperCamelCase__    )
      __magic_name__				     =       self.config_class.from_pretrained(UpperCamelCase__			,							subfolder=UpperCamelCase__    )

    self.parent.assertEqual(config_second.to_dict()			,							config_first.to_dict()    )
  def 							_lowercase							( self			: List[Any]    )			->	List[Any]:







    """simple docstring"""






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

    __magic_name__				     =       3
    self.parent.assertEqual(len(config.idalabel    )			,							3    )
    self.parent.assertEqual(len(config.labelaid    )			,							3    )
  def 							_lowercase							( self			: Union[str, Any]    )			->	Optional[Any]:







    """simple docstring"""






    if self.config_class.is_composition:
      return
    __magic_name__				     =       self.config_class()
    self.parent.assertIsNotNone(UpperCamelCase__    )
  def 							_lowercase							( self			: Optional[int]    )			->	List[Any]:







    """simple docstring"""






    __magic_name__				     =       copy.deepcopy(UpperCamelCase__    )
    __magic_name__				     =       self.config_class(**UpperCamelCase__    )
    __magic_name__				     =       []
    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:
      __magic_name__				     =       """\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			: Optional[int]    )			->	List[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()



from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase			:     List[Any]           =   logging.get_logger(__name__)

__lowerCAmelCase			:     int           =   {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







  a__           =		"""biogpt"""
  def __init__( self			: List[str]			,							UpperCamelCase__			: Optional[Any]=4_2384			,							UpperCamelCase__			: Union[str, Any]=1024			,							UpperCamelCase__			: Any=24			,							UpperCamelCase__			: Union[str, Any]=16			,							UpperCamelCase__			: Tuple=4096			,							UpperCamelCase__			: Tuple="gelu"			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: str=1024			,							UpperCamelCase__			: Any=0.02			,							UpperCamelCase__			: List[str]=1E-12			,							UpperCamelCase__			: Dict=True			,							UpperCamelCase__			: Optional[int]=True			,							UpperCamelCase__			: Union[str, Any]=0.0			,							UpperCamelCase__			: Any=0.0			,							UpperCamelCase__			: List[str]=1			,							UpperCamelCase__			: Dict=0			,							UpperCamelCase__			: List[str]=2			,							**UpperCamelCase__			: Optional[int]			,							)			->	Tuple:







    """simple docstring"""






    __magic_name__				     =       vocab_size
    __magic_name__				     =       max_position_embeddings
    __magic_name__				     =       hidden_size
    __magic_name__				     =       num_hidden_layers
    __magic_name__				     =       num_attention_heads
    __magic_name__				     =       intermediate_size
    __magic_name__				     =       hidden_act
    __magic_name__				     =       hidden_dropout_prob
    __magic_name__				     =       attention_probs_dropout_prob
    __magic_name__				     =       initializer_range
    __magic_name__				     =       layer_norm_eps
    __magic_name__				     =       scale_embedding
    __magic_name__				     =       use_cache
    __magic_name__				     =       layerdrop
    __magic_name__				     =       activation_dropout
    super().__init__(pad_token_id=UpperCamelCase__			,							bos_token_id=UpperCamelCase__			,							eos_token_id=UpperCamelCase__			,							**UpperCamelCase__    )

