
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


lowerCamelCase  =logging.get_logger(__name__)




class 					_lowerCamelCase			:





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	42
     SCREAMING_SNAKE_CASE_		 =	None






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




           """simple docstring"""







           raise NotImplementedError






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)	-> str:




           """simple docstring"""







           raise NotImplementedError






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE	)	-> Optional[int]:




           """simple docstring"""







           raise NotImplementedError






     def  __SCREAMING_SNAKE_CASE      (				self	)	-> 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  __SCREAMING_SNAKE_CASE      (				cls	)	-> str:




           """simple docstring"""







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




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''optuna'''






     @staticmethod
     def  __SCREAMING_SNAKE_CASE      (				)	-> Dict:




           """simple docstring"""







           return is_optuna_available()






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)	-> Optional[int]:




           """simple docstring"""







           return run_hp_search_optuna(__SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE	)	-> int:




           """simple docstring"""







           return default_hp_space_optuna(__SCREAMING_SNAKE_CASE	)




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''ray'''
     SCREAMING_SNAKE_CASE_		 =	'''\'ray[tune]\''''






     @staticmethod
     def  __SCREAMING_SNAKE_CASE      (				)	-> Dict:




           """simple docstring"""







           return is_ray_available()






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)	-> Optional[Any]:




           """simple docstring"""







           return run_hp_search_ray(__SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE	)	-> Any:




           """simple docstring"""







           return default_hp_space_ray(__SCREAMING_SNAKE_CASE	)




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''sigopt'''






     @staticmethod
     def  __SCREAMING_SNAKE_CASE      (				)	-> Dict:




           """simple docstring"""







           return is_sigopt_available()






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)	-> str:




           """simple docstring"""







           return run_hp_search_sigopt(__SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE	)	-> Any:




           """simple docstring"""







           return default_hp_space_sigopt(__SCREAMING_SNAKE_CASE	)




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''wandb'''






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




           """simple docstring"""







           return is_wandb_available()






     def  __SCREAMING_SNAKE_CASE      (				self    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)	-> Dict:




           """simple docstring"""







           return run_hp_search_wandb(__SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    __SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)






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




           """simple docstring"""







           return default_hp_space_wandb(__SCREAMING_SNAKE_CASE	)
lowerCamelCase  ={
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}


def 				SCREAMING_SNAKE_CASE_   (      ):
      UpperCamelCase__     : int											=					[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
      if len(UpperCamelCase__		) > 0:
            UpperCamelCase__     : Any											=					available_backends[0].name
            if len(UpperCamelCase__		) > 1:
                  logger.info(
                      f'''{len(UpperCamelCase__		)} 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()		)		)




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase  =logging.get_logger(__name__)

lowerCamelCase  ={
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''distilbert'''
     SCREAMING_SNAKE_CASE_		 =	{
         '''hidden_size''': '''dim''',
         '''num_attention_heads''': '''n_heads''',
         '''num_hidden_layers''': '''n_layers''',
     }






     def __init__(				self    ,    __SCREAMING_SNAKE_CASE=3_0_5_2_2    ,    __SCREAMING_SNAKE_CASE=5_1_2    ,    __SCREAMING_SNAKE_CASE=False    ,    __SCREAMING_SNAKE_CASE=6    ,    __SCREAMING_SNAKE_CASE=1_2    ,    __SCREAMING_SNAKE_CASE=7_6_8    ,    __SCREAMING_SNAKE_CASE=4 * 7_6_8    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE="gelu"    ,    __SCREAMING_SNAKE_CASE=0.02    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE=0.2    ,    __SCREAMING_SNAKE_CASE=0    ,    **__SCREAMING_SNAKE_CASE    ,    )	-> Optional[Any]:




           """simple docstring"""







           UpperCamelCase__     : List[Any]											=					vocab_size
           UpperCamelCase__     : Dict											=					max_position_embeddings
           UpperCamelCase__     : Any											=					sinusoidal_pos_embds
           UpperCamelCase__     : Dict											=					n_layers
           UpperCamelCase__     : List[Any]											=					n_heads
           UpperCamelCase__     : Dict											=					dim
           UpperCamelCase__     : Dict											=					hidden_dim
           UpperCamelCase__     : Optional[int]											=					dropout
           UpperCamelCase__     : Optional[Any]											=					attention_dropout
           UpperCamelCase__     : Tuple											=					activation
           UpperCamelCase__     : Optional[int]											=					initializer_range
           UpperCamelCase__     : Optional[int]											=					qa_dropout
           UpperCamelCase__     : str											=					seq_classif_dropout
           super().__init__(**__SCREAMING_SNAKE_CASE    ,    pad_token_id=__SCREAMING_SNAKE_CASE	)




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     @property
     def  __SCREAMING_SNAKE_CASE      (				self	)	-> Mapping[str, Mapping[int, str]]:




           """simple docstring"""







           if self.task == "multiple-choice":
                 UpperCamelCase__     : Union[str, Any]											=					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                 UpperCamelCase__     : int											=					{0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
               ]	)


