






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

class 						lowerCAmelCase   :

					'''simple docstring'''

					_A  :	str
					_A  :	str     =					None



					@staticmethod
					def 					lowerCAmelCase (     )	->     Tuple:


												"""simple docstring"""

												raise NotImplementedError



					def 					lowerCAmelCase (     self :		Dict						,   __a :		List[str]						,   __a :		int						,   __a :		str						,   **__a :		Union[str, Any]							)	->     str:


												"""simple docstring"""

												raise NotImplementedError



					def 					lowerCAmelCase (     self :		Union[str, Any]						,   __a :		Dict							)	->     Union[str, Any]:


												"""simple docstring"""

												raise NotImplementedError



					def 					lowerCAmelCase (     self :		Tuple							)	->     Tuple:


												"""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 :		Optional[int]							)	->     List[Any]:


												"""simple docstring"""

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







class 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	Any     =					'''optuna'''



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


												"""simple docstring"""

												return is_optuna_available()



					def 					lowerCAmelCase (     self :		List[Any]						,   __a :		str						,   __a :		int						,   __a :		str						,   **__a :		Dict							)	->     List[Any]:


												"""simple docstring"""

												return run_hp_search_optuna(__a						,   __a						,   __a						,   **__a							)



					def 					lowerCAmelCase (     self :		Dict						,   __a :		Optional[int]							)	->     Union[str, Any]:


												"""simple docstring"""

												return default_hp_space_optuna(__a							)







class 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	Union[str, Any]     =					'''ray'''
					_A  :	List[Any]     =					'''\'ray[tune]\''''



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


												"""simple docstring"""

												return is_ray_available()



					def 					lowerCAmelCase (     self :		int						,   __a :		Dict						,   __a :		int						,   __a :		str						,   **__a :		List[str]							)	->     List[Any]:


												"""simple docstring"""

												return run_hp_search_ray(__a						,   __a						,   __a						,   **__a							)



					def 					lowerCAmelCase (     self :		Optional[Any]						,   __a :		Tuple							)	->     Tuple:


												"""simple docstring"""

												return default_hp_space_ray(__a							)







class 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	Dict     =					'''sigopt'''



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


												"""simple docstring"""

												return is_sigopt_available()



					def 					lowerCAmelCase (     self :		Union[str, Any]						,   __a :		Any						,   __a :		int						,   __a :		str						,   **__a :		Union[str, Any]							)	->     Any:


												"""simple docstring"""

												return run_hp_search_sigopt(__a						,   __a						,   __a						,   **__a							)



					def 					lowerCAmelCase (     self :		str						,   __a :		Optional[Any]							)	->     List[str]:


												"""simple docstring"""

												return default_hp_space_sigopt(__a							)







class 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	Any     =					'''wandb'''



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


												"""simple docstring"""

												return is_wandb_available()



					def 					lowerCAmelCase (     self :		Union[str, Any]						,   __a :		List[str]						,   __a :		int						,   __a :		str						,   **__a :		Any							)	->     Optional[int]:


												"""simple docstring"""

												return run_hp_search_wandb(__a						,   __a						,   __a						,   **__a							)



					def 					lowerCAmelCase (     self :		Optional[Any]						,   __a :		Union[str, Any]							)	->     Dict:


												"""simple docstring"""

												return default_hp_space_wandb(__a							)







lowerCamelCase       :       Any        =				{
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}
def 					snake_case_						(   ):
							__lowercase					:							List[Any]			=   [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
							if len(lowerCAmelCase_					) > 0:
														__lowercase					:							str			=   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()					)					)







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


lowerCamelCase       :       Optional[Any]        =				logging.get_logger(__name__)

lowerCamelCase       :       List[str]        =				{
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}

class 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	List[Any]     =					'''canine'''



					def __init__(     self :		List[str]						,   __a :		Optional[int]=768						,   __a :		Any=12						,   __a :		Any=12						,   __a :		Dict=3072						,   __a :		Dict="gelu"						,   __a :		List[Any]=0.1						,   __a :		List[Any]=0.1						,   __a :		Tuple=16384						,   __a :		List[Any]=16						,   __a :		List[Any]=0.02						,   __a :		Optional[Any]=1E-12						,   __a :		Dict=0						,   __a :		List[Any]=0xe_0_0_0						,   __a :		Optional[int]=0xe_0_0_1						,   __a :		Any=4						,   __a :		Dict=4						,   __a :		Optional[int]=8						,   __a :		Any=16384						,   __a :		Optional[Any]=128						,   **__a :		List[str]						,   )	->     Union[str, Any]:


												"""simple docstring"""

												super().__init__(pad_token_id=__a						,   bos_token_id=__a						,   eos_token_id=__a						,   **__a							)

												__lowercase					:							int			=   max_position_embeddings
												__lowercase					:							List[str]			=   hidden_size
												__lowercase					:							List[Any]			=   num_hidden_layers
												__lowercase					:							Dict			=   num_attention_heads
												__lowercase					:							int			=   intermediate_size
												__lowercase					:							Dict			=   hidden_act
												__lowercase					:							Tuple			=   hidden_dropout_prob
												__lowercase					:							Union[str, Any]			=   attention_probs_dropout_prob
												__lowercase					:							Union[str, Any]			=   initializer_range
												__lowercase					:							Any			=   type_vocab_size
												__lowercase					:							int			=   layer_norm_eps

												# Character config:
												__lowercase					:							int			=   downsampling_rate
												__lowercase					:							str			=   upsampling_kernel_size
												__lowercase					:							Union[str, Any]			=   num_hash_functions
												__lowercase					:							Optional[Any]			=   num_hash_buckets
												__lowercase					:							Optional[int]			=   local_transformer_stride