

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						:  Any									=			logging.get_logger(__name__)







class 					lowercase							:
				__SCREAMING_SNAKE_CASE   :					str
				__SCREAMING_SNAKE_CASE   :					str			     =     None




				@staticmethod
				def        a				(   ):
											raise NotImplementedError




				def        a				(   self ,  snake_case ,  snake_case ,  snake_case ,  **snake_case			):
											raise NotImplementedError




				def        a				(   self ,  snake_case			):
											raise NotImplementedError




				def        a				(   self			):
											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			):
											return F'''`pip install {cls.pip_package or cls.name}`'''







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Optional[Any]			     =     '''optuna'''




				@staticmethod
				def        a				(   ):
											return is_optuna_available()




				def        a				(   self ,  snake_case ,  snake_case ,  snake_case ,  **snake_case			):
											return run_hp_search_optuna(snake_case ,  snake_case ,  snake_case ,  **snake_case			)




				def        a				(   self ,  snake_case			):
											return default_hp_space_optuna(snake_case			)







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Optional[Any]			     =     '''ray'''
				__SCREAMING_SNAKE_CASE   :					Any			     =     '''\'ray[tune]\''''




				@staticmethod
				def        a				(   ):
											return is_ray_available()




				def        a				(   self ,  snake_case ,  snake_case ,  snake_case ,  **snake_case			):
											return run_hp_search_ray(snake_case ,  snake_case ,  snake_case ,  **snake_case			)




				def        a				(   self ,  snake_case			):
											return default_hp_space_ray(snake_case			)







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					str			     =     '''sigopt'''




				@staticmethod
				def        a				(   ):
											return is_sigopt_available()




				def        a				(   self ,  snake_case ,  snake_case ,  snake_case ,  **snake_case			):
											return run_hp_search_sigopt(snake_case ,  snake_case ,  snake_case ,  **snake_case			)




				def        a				(   self ,  snake_case			):
											return default_hp_space_sigopt(snake_case			)







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					str			     =     '''wandb'''




				@staticmethod
				def        a				(   ):
											return is_wandb_available()




				def        a				(   self ,  snake_case ,  snake_case ,  snake_case ,  **snake_case			):
											return run_hp_search_wandb(snake_case ,  snake_case ,  snake_case ,  **snake_case			)




				def        a				(   self ,  snake_case			):
											return default_hp_space_wandb(snake_case			)



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





def    __lowerCamelCase      (					):







							'''simple docstring'''






							snake_case_     							=       [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
							if len(UpperCamelCase__ ) > 0:
														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 tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


_UpperCAmelCase						:  Dict									=			"""sshleifer/bart-tiny-random"""
_UpperCAmelCase						:  Optional[Any]									=			"""patrickvonplaten/t5-tiny-random"""







@require_torch
class 					lowercase							(			unittest.TestCase     ):




				@cached_property
				def        a				(   self			):
											return AutoConfig.from_pretrained(snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=1			)
											self.assertEqual(student.config.num_hidden_layers ,  1			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)
											self.assertEqual(student.config.encoder_layers ,  1			)
											self.assertEqual(student.config.decoder_layers ,  self.teacher_config.encoder_layers			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=1			)
											self.assertEqual(student.config.encoder_layers ,  1			)
											self.assertEqual(student.config.decoder_layers ,  1			)




				def        a				(   self			):
											with self.assertRaises(snake_case			):
																		create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=snake_case ,  d=snake_case			)




