'''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


SCREAMING_SNAKE_CASE_:					List[str]  =logging.get_logger(__name__)




class 	__A				:
    a__	:						str
    a__	:						str	       =  None



    @staticmethod
    def  _lowercase						():
         raise NotImplementedError



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



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



    def  _lowercase						(self   :   Union[str, Any]			):
         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  _lowercase						(cls   :   Any			):
         return f"""`pip install {cls.pip_package or cls.name}`"""




class 	__A				(			UpperCamelCase__     ):
    a__	:						int	       =  """optuna"""



    @staticmethod
    def  _lowercase						():
         return is_optuna_available()



    def  _lowercase						(self   :   Any       ,      __a   :   Tuple       ,      __a   :   int       ,      __a   :   str       ,      **__a   :   Tuple			):
         return run_hp_search_optuna(__a       ,      __a       ,      __a       ,      **__a			)






    def  _lowercase						(self   :   List[str]       ,      __a   :   Union[str, Any]			):
         return default_hp_space_optuna(__a			)




class 	__A				(			UpperCamelCase__     ):
    a__	:						Dict	       =  """ray"""
    a__	:						str	       =  """'ray[tune]'"""



    @staticmethod
    def  _lowercase						():
         return is_ray_available()



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






    def  _lowercase						(self   :   List[Any]       ,      __a   :   List[str]			):
         return default_hp_space_ray(__a			)




class 	__A				(			UpperCamelCase__     ):
    a__	:						List[Any]	       =  """sigopt"""



    @staticmethod
    def  _lowercase						():
         return is_sigopt_available()



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






    def  _lowercase						(self   :   List[str]       ,      __a   :   Tuple			):
         return default_hp_space_sigopt(__a			)




class 	__A				(			UpperCamelCase__     ):
    a__	:						List[Any]	       =  """wandb"""



    @staticmethod
    def  _lowercase						():
         return is_wandb_available()



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






    def  _lowercase						(self   :   Union[str, Any]       ,      __a   :   int			):
         return default_hp_space_wandb(__a			)




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





def      lowerCAmelCase_    ( )   ->				str:


     '''simple docstring'''




     UpperCAmelCase_	   =       [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
     if len(snake_case_      ) > 0:
          UpperCAmelCase_	   =       available_backends[0].name
          if len(snake_case_      ) > 1:
               logger.info(
                   f"""{len(snake_case_      )} 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'''





from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def      lowerCAmelCase_    ( )   ->				str:


     '''simple docstring'''




     UpperCAmelCase_	   =       {
         "repo_name": ["test_repo1", "test_repo2", "test_repo3"],
         "path": ["test_1.py", "test_2.py", "unit_test.py"],
         "content": ["a " * 20, "a " * 30, "b " * 7],
     }
     UpperCAmelCase_	   =       Dataset.from_dict(snake_case_      )
     return dataset






class 	__A				(			UpperCamelCase__     ):



    def  _lowercase						(self   :   str			):
         UpperCAmelCase_	   =       get_dataset()
         UpperCAmelCase_	   =       make_duplicate_clusters(__a       ,      0.85			)
         self.assertEqual(len(duplicate_clusters[0]			)       ,      2			)






    def  _lowercase						(self   :   Optional[Any]			):
         UpperCAmelCase_	   =       get_dataset()
         UpperCAmelCase_   ,			UpperCAmelCase_	   =       deduplicate_dataset(__a			)
         self.assertEqual(len(__a			)       ,      2			)
         print(__a			)
         self.assertEqual(duplicate_clusters[0][0]["copies"]       ,      2			)
         self.assertEqual(duplicate_clusters[0][0]["is_extreme"]       ,      __a			)




