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					:   Union[str, Any]							=		logging.get_logger(__name__)


class 						lowercase    :
							lowercase__						:       str
							lowercase__						:       str								=							None




							@staticmethod
							def 	__snake_case(						)					->				Union[str, Any]:



												'''simple docstring'''

												raise NotImplementedError




							def 	__snake_case(						self   :					Optional[int]	,							_UpperCamelCase   :					List[str]	,							_UpperCamelCase   :					int	,							_UpperCamelCase   :					str	,							**_UpperCamelCase   :					Optional[int]      )					->				List[str]:



												'''simple docstring'''

												raise NotImplementedError




							def 	__snake_case(						self   :					str	,							_UpperCamelCase   :					List[Any]      )					->				Any:



												'''simple docstring'''

												raise NotImplementedError




							def 	__snake_case(						self   :					str      )					->				Union[str, 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 	__snake_case(						cls   :					str      )					->				Union[str, Any]:



												'''simple docstring'''

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



class 						lowercase    (     a     ):
							lowercase__						:       Optional[Any]								=							"""optuna"""




							@staticmethod
							def 	__snake_case(						)					->				Optional[int]:



												'''simple docstring'''

												return is_optuna_available()




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



												'''simple docstring'''

												return run_hp_search_optuna(_UpperCamelCase	,							_UpperCamelCase	,							_UpperCamelCase	,							**_UpperCamelCase      )





							def 	__snake_case(						self   :					List[str]	,							_UpperCamelCase   :					Optional[int]      )					->				Any:



												'''simple docstring'''

												return default_hp_space_optuna(_UpperCamelCase      )



class 						lowercase    (     a     ):
							lowercase__						:       Union[str, Any]								=							"""ray"""
							lowercase__						:       int								=							"""'ray[tune]'"""




							@staticmethod
							def 	__snake_case(						)					->				Union[str, Any]:



												'''simple docstring'''

												return is_ray_available()




							def 	__snake_case(						self   :					List[str]	,							_UpperCamelCase   :					int	,							_UpperCamelCase   :					int	,							_UpperCamelCase   :					str	,							**_UpperCamelCase   :					str      )					->				Any:



												'''simple docstring'''

												return run_hp_search_ray(_UpperCamelCase	,							_UpperCamelCase	,							_UpperCamelCase	,							**_UpperCamelCase      )





							def 	__snake_case(						self   :					Any	,							_UpperCamelCase   :					Union[str, Any]      )					->				Optional[Any]:



												'''simple docstring'''

												return default_hp_space_ray(_UpperCamelCase      )



class 						lowercase    (     a     ):
							lowercase__						:       Tuple								=							"""sigopt"""




							@staticmethod
							def 	__snake_case(						)					->				Optional[int]:



												'''simple docstring'''

												return is_sigopt_available()




							def 	__snake_case(						self   :					Any	,							_UpperCamelCase   :					Any	,							_UpperCamelCase   :					int	,							_UpperCamelCase   :					str	,							**_UpperCamelCase   :					List[str]      )					->				Tuple:



												'''simple docstring'''

												return run_hp_search_sigopt(_UpperCamelCase	,							_UpperCamelCase	,							_UpperCamelCase	,							**_UpperCamelCase      )





							def 	__snake_case(						self   :					Optional[Any]	,							_UpperCamelCase   :					Optional[Any]      )					->				int:



												'''simple docstring'''

												return default_hp_space_sigopt(_UpperCamelCase      )



class 						lowercase    (     a     ):
							lowercase__						:       Tuple								=							"""wandb"""




							@staticmethod
							def 	__snake_case(						)					->				Union[str, Any]:



												'''simple docstring'''

												return is_wandb_available()




							def 	__snake_case(						self   :					int	,							_UpperCamelCase   :					Union[str, Any]	,							_UpperCamelCase   :					int	,							_UpperCamelCase   :					str	,							**_UpperCamelCase   :					Any      )					->				Dict:



												'''simple docstring'''

												return run_hp_search_wandb(_UpperCamelCase	,							_UpperCamelCase	,							_UpperCamelCase	,							**_UpperCamelCase      )





							def 	__snake_case(						self   :					Optional[Any]	,							_UpperCamelCase   :					Dict      )					->				str:



												'''simple docstring'''

												return default_hp_space_wandb(_UpperCamelCase      )



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





def 	__lowerCamelCase							():
					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()  )  )





# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import platform
import sys


_lowerCamelCase					:   List[Any]							=		'''3'''

print('''Python version:''', sys.version)

print('''OS platform:''', platform.platform())
print('''OS architecture:''', platform.machine())

try:
							import torch

							print('''Torch version:''', torch.__version__)
							print('''Cuda available:''', torch.cuda.is_available())
							print('''Cuda version:''', torch.version.cuda)
							print('''CuDNN version:''', torch.backends.cudnn.version())
							print('''Number of GPUs available:''', torch.cuda.device_count())
except ImportError:
							print('''Torch version:''', None)

try:
							import transformers

							print('''transformers version:''', transformers.__version__)
except ImportError:
							print('''transformers version:''', None)




