'''simple docstring'''





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    :				Any							     =	logging.get_logger(__name__)







class __snake_case       :
   lowerCAmelCase_														=							42
   lowerCAmelCase_														=							None




   @staticmethod
   def 			__a		(					):



     """simple docstring"""






     raise NotImplementedError




   def 			__a		(					self    :       str ,			_lowercase    :       Optional[Any] ,			_lowercase    :       int ,			_lowercase    :       str ,			**_lowercase    :       List[Any]   ):



     """simple docstring"""






     raise NotImplementedError




   def 			__a		(					self    :       Any ,			_lowercase    :       Any   ):



     """simple docstring"""






     raise NotImplementedError




   def 			__a		(					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 			__a		(					cls    :       Optional[Any]   ):



     """simple docstring"""






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







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							'optuna'




   @staticmethod
   def 			__a		(					):



     """simple docstring"""






     return is_optuna_available()




   def 			__a		(					self    :       Any ,			_lowercase    :       List[str] ,			_lowercase    :       int ,			_lowercase    :       str ,			**_lowercase    :       str   ):



     """simple docstring"""






     return run_hp_search_optuna(UpperCAmelCase__ ,			UpperCAmelCase__ ,			UpperCAmelCase__ ,			**UpperCAmelCase__   )




   def 			__a		(					self    :       Dict ,			_lowercase    :       List[Any]   ):



     """simple docstring"""






     return default_hp_space_optuna(UpperCAmelCase__   )







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							'ray'
   lowerCAmelCase_														=							'\'ray[tune]\''




   @staticmethod
   def 			__a		(					):



     """simple docstring"""






     return is_ray_available()




   def 			__a		(					self    :       Tuple ,			_lowercase    :       List[str] ,			_lowercase    :       int ,			_lowercase    :       str ,			**_lowercase    :       Tuple   ):



     """simple docstring"""






     return run_hp_search_ray(UpperCAmelCase__ ,			UpperCAmelCase__ ,			UpperCAmelCase__ ,			**UpperCAmelCase__   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       Optional[int]   ):



     """simple docstring"""






     return default_hp_space_ray(UpperCAmelCase__   )







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							'sigopt'




   @staticmethod
   def 			__a		(					):



     """simple docstring"""






     return is_sigopt_available()




   def 			__a		(					self    :       str ,			_lowercase    :       List[str] ,			_lowercase    :       int ,			_lowercase    :       str ,			**_lowercase    :       Optional[Any]   ):



     """simple docstring"""






     return run_hp_search_sigopt(UpperCAmelCase__ ,			UpperCAmelCase__ ,			UpperCAmelCase__ ,			**UpperCAmelCase__   )




   def 			__a		(					self    :       Dict ,			_lowercase    :       Dict   ):



     """simple docstring"""






     return default_hp_space_sigopt(UpperCAmelCase__   )







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							'wandb'




   @staticmethod
   def 			__a		(					):



     """simple docstring"""






     return is_wandb_available()




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       str ,			_lowercase    :       int ,			_lowercase    :       str ,			**_lowercase    :       Any   ):



     """simple docstring"""






     return run_hp_search_wandb(UpperCAmelCase__ ,			UpperCAmelCase__ ,			UpperCAmelCase__ ,			**UpperCAmelCase__   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       List[Any]   ):



     """simple docstring"""






     return default_hp_space_wandb(UpperCAmelCase__   )





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



def 			__SCREAMING_SNAKE_CASE						(      )							->      str:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
  if len(__UpperCamelCase			) > 0:
    SCREAMING_SNAKE_CASE__    							=   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()			)			)

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowerCamelCase_	)
class __snake_case       (		lowerCamelCase_	):
   # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
   lowerCAmelCase_														=							field(default="text-classification"     ,	metadata={"include_in_asdict_even_if_is_default": True}	)
   lowerCAmelCase_														=							Features({"text": Value("string"	)}	)
   lowerCAmelCase_														=							Features({"labels": ClassLabel}	)
   lowerCAmelCase_														=							"text"
   lowerCAmelCase_														=							"labels"




   def 			__a		(					self    :       Dict ,			_lowercase    :       List[Any]   ):



     """simple docstring"""






     if self.label_column not in features:
       raise ValueError(f"""Column {self.label_column} is not present in features."""   )
     if not isinstance(features[self.label_column] ,			_lowercase   ):
       raise ValueError(f"""Column {self.label_column} is not a ClassLabel."""   )
     SCREAMING_SNAKE_CASE__    							=   copy.deepcopy(self   )
     SCREAMING_SNAKE_CASE__    							=   self.label_schema.copy()
     SCREAMING_SNAKE_CASE__    							=   features[self.label_column]
     SCREAMING_SNAKE_CASE__    							=   label_schema
     return task_template




   @property
   def 			__a		(					self    :       List[Any]   ):



     """simple docstring"""






     return {
         self.text_column: "text",
         self.label_column: "labels",
     }
