





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	:
			lowerCamelCase_					:					str
			lowerCamelCase_					:					str	      =				None






			@staticmethod
			def       lowerCamelCase  ()					->       str:


							'''simple docstring'''



							raise NotImplementedError






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )					->       str:


							'''simple docstring'''



							raise NotImplementedError






			def       lowerCamelCase  (self ,							__magic_name__   )					->       int:


							'''simple docstring'''



							raise NotImplementedError






			def       lowerCamelCase  (self   )					->       Any:


							'''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   )					->       List[Any]:


							'''simple docstring'''



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




class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Optional[int]	      =				'''optuna'''






			@staticmethod
			def       lowerCamelCase  ()					->       Dict:


							'''simple docstring'''



							return is_optuna_available()






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )					->       Any:


							'''simple docstring'''



							return run_hp_search_optuna(__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )






			def       lowerCamelCase  (self ,							__magic_name__   )					->       Optional[Any]:


							'''simple docstring'''



							return default_hp_space_optuna(__magic_name__   )




class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Any	      =				'''ray'''
			lowerCamelCase_					:					Tuple	      =				'''\'ray[tune]\''''






			@staticmethod
			def       lowerCamelCase  ()					->       Any:


							'''simple docstring'''



							return is_ray_available()






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )					->       Dict:


							'''simple docstring'''



							return run_hp_search_ray(__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )






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


							'''simple docstring'''



							return default_hp_space_ray(__magic_name__   )




class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Optional[int]	      =				'''sigopt'''






			@staticmethod
			def       lowerCamelCase  ()					->       int:


							'''simple docstring'''



							return is_sigopt_available()






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )					->       List[str]:


							'''simple docstring'''



							return run_hp_search_sigopt(__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )






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


							'''simple docstring'''



							return default_hp_space_sigopt(__magic_name__   )




class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Dict	      =				'''wandb'''






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


							'''simple docstring'''



							return is_wandb_available()






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )					->       int:


							'''simple docstring'''



							return run_hp_search_wandb(__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )






			def       lowerCamelCase  (self ,							__magic_name__   )					->       str:


							'''simple docstring'''



							return default_hp_space_wandb(__magic_name__   )




lowerCAmelCase_    =    {
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}






def 					lowerCamelCase_						(    )		->						str:






				"""simple docstring"""


				snake_case_						:   Tuple           =  [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
				if len(_UpperCamelCase			) > 0:
								snake_case_						:   Optional[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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_    =    logging.get_logger(__name__)

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



class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Any	      =				'''biogpt'''






			def __init__(self ,							__magic_name__=4_2384 ,							__magic_name__=1024 ,							__magic_name__=24 ,							__magic_name__=16 ,							__magic_name__=4096 ,							__magic_name__="gelu" ,							__magic_name__=0.1 ,							__magic_name__=0.1 ,							__magic_name__=1024 ,							__magic_name__=0.02 ,							__magic_name__=1e-12 ,							__magic_name__=True ,							__magic_name__=True ,							__magic_name__=0.0 ,							__magic_name__=0.0 ,							__magic_name__=1 ,							__magic_name__=0 ,							__magic_name__=2 ,							**__magic_name__ ,							)					->       List[str]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  vocab_size
							snake_case_						:   Dict           =  max_position_embeddings
							snake_case_						:   Optional[int]           =  hidden_size
							snake_case_						:   List[Any]           =  num_hidden_layers
							snake_case_						:   List[str]           =  num_attention_heads
							snake_case_						:   int           =  intermediate_size
							snake_case_						:   List[Any]           =  hidden_act
							snake_case_						:   List[Any]           =  hidden_dropout_prob
							snake_case_						:   Optional[int]           =  attention_probs_dropout_prob
							snake_case_						:   Optional[int]           =  initializer_range
							snake_case_						:   Optional[int]           =  layer_norm_eps
							snake_case_						:   str           =  scale_embedding
							snake_case_						:   Optional[Any]           =  use_cache
							snake_case_						:   Optional[Any]           =  layerdrop
							snake_case_						:   Optional[Any]           =  activation_dropout
							super().__init__(pad_token_id=__magic_name__ ,							bos_token_id=__magic_name__ ,							eos_token_id=__magic_name__ ,							**__magic_name__   )
