



'''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__:   str								=			logging.get_logger(__name__)

class 				SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	lowerCamelCase__			 =       42
	lowerCamelCase__			 =       None







	@staticmethod
	def      A	(						)			->		Optional[Any]:
								raise NotImplementedError







	def      A	(						self			:     Dict		,			__snake_case			:     Union[str, Any]		,			__snake_case			:     int		,			__snake_case			:     str		,			**__snake_case			:     str		)			->		Optional[int]:
								raise NotImplementedError







	def      A	(						self			:     Union[str, Any]		,			__snake_case			:     str		)			->		Union[str, Any]:
								raise NotImplementedError







	def      A	(						self			:     List[Any]		)			->		List[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      A	(						cls			:     List[Any]		)			->		List[Any]:
								return F"""`pip install {cls.pip_package or cls.name}`"""

class 				SCREAMING_SNAKE_CASE(							A__			):







	"""simple docstring"""






	lowerCamelCase__			 =       """optuna"""







	@staticmethod
	def      A	(						)			->		str:
								return is_optuna_available()







	def      A	(						self			:     Optional[int]		,			__snake_case			:     Tuple		,			__snake_case			:     int		,			__snake_case			:     str		,			**__snake_case			:     Tuple		)			->		Dict:
								return run_hp_search_optuna(__snake_case		,			__snake_case		,			__snake_case		,			**__snake_case		)







	def      A	(						self			:     Union[str, Any]		,			__snake_case			:     str		)			->		str:
								return default_hp_space_optuna(__snake_case		)

class 				SCREAMING_SNAKE_CASE(							A__			):







	"""simple docstring"""






	lowerCamelCase__			 =       """ray"""
	lowerCamelCase__			 =       """'ray[tune]'"""







	@staticmethod
	def      A	(						)			->		str:
								return is_ray_available()







	def      A	(						self			:     Union[str, Any]		,			__snake_case			:     Any		,			__snake_case			:     int		,			__snake_case			:     str		,			**__snake_case			:     Optional[int]		)			->		List[Any]:
								return run_hp_search_ray(__snake_case		,			__snake_case		,			__snake_case		,			**__snake_case		)







	def      A	(						self			:     List[str]		,			__snake_case			:     List[Any]		)			->		List[Any]:
								return default_hp_space_ray(__snake_case		)

class 				SCREAMING_SNAKE_CASE(							A__			):







	"""simple docstring"""






	lowerCamelCase__			 =       """sigopt"""







	@staticmethod
	def      A	(						)			->		List[str]:
								return is_sigopt_available()







	def      A	(						self			:     Optional[Any]		,			__snake_case			:     Optional[Any]		,			__snake_case			:     int		,			__snake_case			:     str		,			**__snake_case			:     Union[str, Any]		)			->		Tuple:
								return run_hp_search_sigopt(__snake_case		,			__snake_case		,			__snake_case		,			**__snake_case		)







	def      A	(						self			:     int		,			__snake_case			:     Optional[Any]		)			->		Any:
								return default_hp_space_sigopt(__snake_case		)

class 				SCREAMING_SNAKE_CASE(							A__			):







	"""simple docstring"""






	lowerCamelCase__			 =       """wandb"""







	@staticmethod
	def      A	(						)			->		Tuple:
								return is_wandb_available()







	def      A	(						self			:     Any		,			__snake_case			:     List[Any]		,			__snake_case			:     int		,			__snake_case			:     str		,			**__snake_case			:     Tuple		)			->		Optional[Any]:
								return run_hp_search_wandb(__snake_case		,			__snake_case		,			__snake_case		,			**__snake_case		)







	def      A	(						self			:     str		,			__snake_case			:     str		)			->		int:
								return default_hp_space_wandb(__snake_case		)

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


def  snake_case_     (					)      ->   str:
							UpperCAmelCase :       int 							=		[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
							if len(_lowerCAmelCase  ) > 0:
														UpperCAmelCase :       Union[str, Any] 							=		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()  )  )









'''simple docstring'''



import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment





@require_huggingface_suite
class 							__UpperCamelCase				(		unittest.TestCase					):




	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						__a			:       List[Any]					    =  inspect.getfile(accelerate.test_utils							)
						__a			:       List[str]					    =  os.path.sep.join(
						    mod_file.split(os.path.sep							)[:-1] + ['scripts', 'external_deps', 'test_metrics.py']							)

						from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

						__a			:       Union[str, Any]					    =  test_metrics




	@require_cpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						debug_launcher(self.test_metrics.main						,				num_processes=1							)




	@require_cpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						debug_launcher(self.test_metrics.main							)




	@require_single_gpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						self.test_metrics.main()





	@require_multi_gpu
	def       __UpperCAmelCase							(   self							):

						'''simple docstring'''





						print(f"""Found {torch.cuda.device_count()} devices."""							)
						__a			:       List[Any]					    =  ['torchrun', f"""--nproc_per_node={torch.cuda.device_count()}""", self.test_file_path]
						with patch_environment(omp_num_threads=1							):
											execute_subprocess_async(__a						,				env=os.environ.copy()							)



