


import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs


class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





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




     """simple docstring"""
     snake_case_            =       parent
     snake_case_            =       config_class
     snake_case_            =       has_text_modality
     snake_case_            =       kwargs
     snake_case_            =       common_properties



  def        lowerCAmelCase__	(  self							:							str	) ->			Any:




     """simple docstring"""
     snake_case_            =       self.config_class(**self.inputs_dict	)
     snake_case_            =       (
         ["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:
           snake_case_            =       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        lowerCAmelCase__	(  self							:							List[Any]	) ->			int:




     """simple docstring"""
     snake_case_            =       self.config_class(**self.inputs_dict	)
     snake_case_            =       json.loads(config.to_json_string()	)
     for key, value in self.inputs_dict.items():
        self.parent.assertEqual(obj[key]     ,					_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Any	) ->			Dict:




     """simple docstring"""
     snake_case_            =       self.config_class(**self.inputs_dict	)

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

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



  def        lowerCAmelCase__	(  self							:							Any	) ->			Tuple:




     """simple docstring"""
     snake_case_            =       self.config_class(**self.inputs_dict	)

     with tempfile.TemporaryDirectory() as tmpdirname:
        config_first.save_pretrained(_lowerCAmelCase	)
        snake_case_            =       self.config_class.from_pretrained(_lowerCAmelCase	)

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



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




     """simple docstring"""
     snake_case_            =       self.config_class(**self.inputs_dict	)

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

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



  def        lowerCAmelCase__	(  self							:							List[str]	) ->			List[str]:




     """simple docstring"""
     snake_case_            =       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_            =       3
     self.parent.assertEqual(len(config.idalabel	)     ,					3	)
     self.parent.assertEqual(len(config.labelaid	)     ,					3	)



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




     """simple docstring"""
     if self.config_class.is_composition:
        return
     snake_case_            =       self.config_class()
     self.parent.assertIsNotNone(_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							int	) ->			List[Any]:




     """simple docstring"""
     snake_case_            =       copy.deepcopy(_lowerCAmelCase	)
     snake_case_            =       self.config_class(**_lowerCAmelCase	)
     snake_case_            =       []
     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:
        snake_case_            =       "\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        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			Dict:




     """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 .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


SCREAMING_SNAKE_CASE						:Union[str, Any]			=  logging.get_logger(__name__)


class      __lowerCAmelCase  :






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							42
  _SCREAMING_SNAKE_CASE		     =							None



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Any:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							Dict     ,					_lowerCAmelCase							:							List[str]     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							List[str]	) ->			Optional[int]:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							Optional[int]	) ->			List[str]:




     """simple docstring"""
     if not self.is_available():
        raise RuntimeError(
            F'''You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'''	)



  @classmethod
  def        lowerCAmelCase__	(  cls							:							Dict	) ->			Tuple:




     """simple docstring"""
     return F'''`pip install {cls.pip_package or cls.name}`'''






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'optuna'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Optional[Any]:




     """simple docstring"""
     return is_optuna_available()



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Optional[int]	) ->			Optional[int]:




     """simple docstring"""
     return run_hp_search_optuna(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     return default_hp_space_optuna(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'ray'
  _SCREAMING_SNAKE_CASE		     =							'\'ray[tune]\''



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Optional[Any]:




     """simple docstring"""
     return is_ray_available()



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							List[Any]     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							List[Any]	) ->			List[str]:




     """simple docstring"""
     return run_hp_search_ray(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							List[Any]	) ->			Any:




     """simple docstring"""
     return default_hp_space_ray(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'sigopt'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			List[str]:




     """simple docstring"""
     return is_sigopt_available()



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Tuple	) ->			str:




     """simple docstring"""
     return run_hp_search_sigopt(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Optional[Any]     ,					_lowerCAmelCase							:							Tuple	) ->			Union[str, Any]:




     """simple docstring"""
     return default_hp_space_sigopt(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'wandb'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			List[Any]:




     """simple docstring"""
     return is_wandb_available()



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							Tuple     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Any	) ->			Dict:




     """simple docstring"""
     return run_hp_search_wandb(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							List[str]	) ->			Any:




     """simple docstring"""
     return default_hp_space_wandb(_lowerCAmelCase	)






SCREAMING_SNAKE_CASE						:Union[str, Any]			=  {
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}



def       _lowerCAmelCase    (				)->str:
   '''simple docstring'''






   snake_case_            =       [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
   if len(lowerCAmelCase_				) > 0:
      snake_case_            =       available_backends[0].name
      if len(lowerCAmelCase_				) > 1:
         logger.info(
             F'''{len(lowerCAmelCase_				)} hyperparameter search backends available. Using {name} as the default.'''				)
      return name
   raise RuntimeError(
       "No hyperparameter search backend available.\n"
       + "\n".join(
           F''' - To install {backend.name} run {backend.pip_install()}'''
           for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()				)				)




