






'''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


UpperCamelCase__ =			logging.get_logger(__name__)


class        _UpperCAmelCase						:
    __lowerCamelCase:   str
    __lowerCamelCase:   str		       =    None




    @staticmethod
    def 				lowerCAmelCase__				(			):






       '''simple docstring'''






       raise NotImplementedError




    def 				lowerCAmelCase__				(			self  :       str  ,     a  :       int  ,     a  :       int  ,     a  :       str  ,     **a  :       Dict			):






       '''simple docstring'''






       raise NotImplementedError




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       Dict			):






       '''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        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   Tuple		       =    'optuna'




    @staticmethod
    def 				lowerCAmelCase__				(			):






       '''simple docstring'''






       return is_optuna_available()




    def 				lowerCAmelCase__				(			self  :       str  ,     a  :       Any  ,     a  :       int  ,     a  :       str  ,     **a  :       Dict			):






       '''simple docstring'''






       return run_hp_search_optuna(a  ,     a  ,     a  ,     **a			)





    def 				lowerCAmelCase__				(			self  :       Optional[int]  ,     a  :       Dict			):






       '''simple docstring'''






       return default_hp_space_optuna(a			)


class        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   Any		       =    'ray'
    __lowerCamelCase:   Optional[Any]		       =    '\'ray[tune]\''




    @staticmethod
    def 				lowerCAmelCase__				(			):






       '''simple docstring'''






       return is_ray_available()




    def 				lowerCAmelCase__				(			self  :       List[str]  ,     a  :       List[Any]  ,     a  :       int  ,     a  :       str  ,     **a  :       List[str]			):






       '''simple docstring'''






       return run_hp_search_ray(a  ,     a  ,     a  ,     **a			)





    def 				lowerCAmelCase__				(			self  :       Optional[int]  ,     a  :       Tuple			):






       '''simple docstring'''






       return default_hp_space_ray(a			)


class        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   Dict		       =    'sigopt'




    @staticmethod
    def 				lowerCAmelCase__				(			):






       '''simple docstring'''






       return is_sigopt_available()




    def 				lowerCAmelCase__				(			self  :       Optional[int]  ,     a  :       Union[str, Any]  ,     a  :       int  ,     a  :       str  ,     **a  :       int			):






       '''simple docstring'''






       return run_hp_search_sigopt(a  ,     a  ,     a  ,     **a			)





    def 				lowerCAmelCase__				(			self  :       List[str]  ,     a  :       Tuple			):






       '''simple docstring'''






       return default_hp_space_sigopt(a			)


class        _UpperCAmelCase						(		snake_case			):
    __lowerCamelCase:   List[Any]		       =    'wandb'




    @staticmethod
    def 				lowerCAmelCase__				(			):






       '''simple docstring'''






       return is_wandb_available()




    def 				lowerCAmelCase__				(			self  :       Dict  ,     a  :       Optional[Any]  ,     a  :       int  ,     a  :       str  ,     **a  :       Optional[Any]			):






       '''simple docstring'''






       return run_hp_search_wandb(a  ,     a  ,     a  ,     **a			)





    def 				lowerCAmelCase__				(			self  :       List[Any]  ,     a  :       Optional[Any]			):






       '''simple docstring'''






       return default_hp_space_wandb(a			)


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




def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""




   lowercase_	:    int           =     [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
   if len(_UpperCamelCase							) > 0:
      lowercase_	:    List[str]           =     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()							)							)












'''simple docstring'''
import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


UpperCamelCase__ =			namedtuple(
    '_TestCommandArgs',
    [
        'dataset',
        'name',
        'cache_dir',
        'data_dir',
        'all_configs',
        'save_infos',
        'ignore_verifications',
        'force_redownload',
        'clear_cache',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   return (abs(source - target							) / target) < 0.01





@pytest.mark.integration
def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    Optional[int]           =     _TestCommandArgs(dataset=_UpperCamelCase						,		all_configs=_UpperCamelCase						,		save_infos=_UpperCamelCase							)
   lowercase_	:    int           =     TestCommand(*_UpperCamelCase							)
   test_command.run()
   lowercase_	:    List[str]           =     os.path.join(_UpperCamelCase						,		"README.md"							)
   assert os.path.exists(_UpperCamelCase							)
   lowercase_	:    Any           =     DatasetInfosDict.from_directory(_UpperCamelCase							)
   lowercase_	:    Optional[int]           =     DatasetInfosDict(
       {
           "default": DatasetInfo(
               features=Features(
                   {
                       "tokens": Sequence(Value("string"							)							),
                       "ner_tags": Sequence(
                           ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]							)							),
                       "langs": Sequence(Value("string"							)							),
                       "spans": Sequence(Value("string"							)							),
                   }							)						,		splits=[
                   {
                       "name": "train",
                       "num_bytes": 235_1563,
                       "num_examples": 1_0000,
                   },
                   {
                       "name": "validation",
                       "num_bytes": 23_8418,
                       "num_examples": 1000,
                   },
               ]						,		download_size=394_0680						,		dataset_size=258_9981						,		)
       }							)
   assert dataset_infos.keys() == expected_dataset_infos.keys()
   for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
      lowercase_    ,		lowercase_	:    Optional[int]           =     getattr(dataset_infos["default"]						,		_UpperCamelCase							), getattr(expected_dataset_infos["default"]						,		_UpperCamelCase							)
      if key == "num_bytes":
         assert is_apercent_close(_UpperCamelCase						,		_UpperCamelCase							)
      elif key == "splits":
         assert list(_UpperCamelCase							) == list(_UpperCamelCase							)
         for split in result:
            assert result[split].name == expected[split].name
            assert result[split].num_examples == expected[split].num_examples
            assert is_apercent_close(result[split].num_bytes						,		expected[split].num_bytes							)
      else:
         result == expected




