





'''simple docstring'''

import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
  import torch

  from transformers.generation import (
      MaxLengthCriteria,
      MaxNewTokensCriteria,
      MaxTimeCriteria,
      StoppingCriteriaList,
      validate_stopping_criteria,
  )






@require_torch
class    UpperCAmelCase	(       unittest.TestCase				):
 def      UpperCAmelCase_							(				self      :Optional[Any]						,       lowercase_      :Dict							)->							str:
     A__				=			3
     A__				=			2_50

     A__				=			ids_tensor((batch_size, length)						,       lowercase_							)
     A__				=			torch.ones((batch_size, length)						,       device=lowercase_						,       dtype=torch.float							) / length
     return input_ids, scores
 def      UpperCAmelCase_							(				self      :Optional[Any]							)->							Union[str, Any]:
     A__,	A__				=			self._get_tensors(5							)

     A__				=			StoppingCriteriaList(
         [
             MaxLengthCriteria(max_length=10							),
             MaxTimeCriteria(max_time=0.1							),
         ]							)

     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__,	A__				=			self._get_tensors(9							)
     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__,	A__				=			self._get_tensors(10							)
     self.assertTrue(criteria(lowercase_						,       lowercase_							)							)
 def      UpperCAmelCase_							(				self      :List[str]							)->							Union[str, Any]:
     A__				=			MaxLengthCriteria(max_length=10							)

     A__,	A__				=			self._get_tensors(5							)
     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__,	A__				=			self._get_tensors(9							)
     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__,	A__				=			self._get_tensors(10							)
     self.assertTrue(criteria(lowercase_						,       lowercase_							)							)
 def      UpperCAmelCase_							(				self      :List[str]							)->							int:
     A__				=			MaxNewTokensCriteria(start_length=5						,       max_new_tokens=5							)

     A__,	A__				=			self._get_tensors(5							)
     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__,	A__				=			self._get_tensors(9							)
     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__,	A__				=			self._get_tensors(10							)
     self.assertTrue(criteria(lowercase_						,       lowercase_							)							)

     A__				=			StoppingCriteriaList([criteria]							)
     self.assertEqual(criteria_list.max_length						,       10							)
 def      UpperCAmelCase_							(				self      :Tuple							)->							Tuple:
     A__,	A__				=			self._get_tensors(5							)

     A__				=			MaxTimeCriteria(max_time=0.1							)
     self.assertFalse(criteria(lowercase_						,       lowercase_							)							)

     A__				=			MaxTimeCriteria(max_time=0.1						,       initial_timestamp=time.time() - 0.2							)
     self.assertTrue(criteria(lowercase_						,       lowercase_							)							)



 def      UpperCAmelCase_							(				self      :Dict							)->							Optional[int]:
     validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10							)]							)						,       10							)

     with self.assertWarns(lowercase_							):
         validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10							)]							)						,       11							)

     A__				=			validate_stopping_criteria(StoppingCriteriaList()						,       11							)

     self.assertEqual(len(lowercase_							)						,       1							)










'''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


__lowerCAmelCase							:	Optional[Any]			=logging.get_logger(__name__)






class    UpperCAmelCase	:
 __lowercase   		=				42
 __lowercase   		=				None
 @staticmethod
 def      UpperCAmelCase_							(				)->							Dict:
     raise NotImplementedError
 def      UpperCAmelCase_							(				self      :List[Any]						,       lowercase_      :str						,       lowercase_      :int						,       lowercase_      :str						,       **lowercase_      :Dict							)->							str:
     raise NotImplementedError
 def      UpperCAmelCase_							(				self      :Optional[int]						,       lowercase_      :int							)->							Any:
     raise NotImplementedError
 def      UpperCAmelCase_							(				self      :List[Any]							)->							Optional[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      UpperCAmelCase_							(				cls      :int							)->							Any:
     return F"`pip install {cls.pip_package or cls.name}`"






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""optuna"""
 @staticmethod
 def      UpperCAmelCase_							(				)->							int:
     return is_optuna_available()
 def      UpperCAmelCase_							(				self      :List[str]						,       lowercase_      :str						,       lowercase_      :int						,       lowercase_      :str						,       **lowercase_      :List[Any]							)->							Tuple:
     return run_hp_search_optuna(lowercase_						,       lowercase_						,       lowercase_						,       **lowercase_							)



 def      UpperCAmelCase_							(				self      :str						,       lowercase_      :Optional[int]							)->							Optional[Any]:
     return default_hp_space_optuna(lowercase_							)






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""ray"""
 __lowercase   		=				"""'ray[tune]'"""
 @staticmethod
 def      UpperCAmelCase_							(				)->							str:
     return is_ray_available()
 def      UpperCAmelCase_							(				self      :int						,       lowercase_      :Dict						,       lowercase_      :int						,       lowercase_      :str						,       **lowercase_      :List[str]							)->							int:
     return run_hp_search_ray(lowercase_						,       lowercase_						,       lowercase_						,       **lowercase_							)



 def      UpperCAmelCase_							(				self      :Optional[int]						,       lowercase_      :Dict							)->							int:
     return default_hp_space_ray(lowercase_							)






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""sigopt"""
 @staticmethod
 def      UpperCAmelCase_							(				)->							Union[str, Any]:
     return is_sigopt_available()
 def      UpperCAmelCase_							(				self      :Any						,       lowercase_      :Union[str, Any]						,       lowercase_      :int						,       lowercase_      :str						,       **lowercase_      :Dict							)->							Dict:
     return run_hp_search_sigopt(lowercase_						,       lowercase_						,       lowercase_						,       **lowercase_							)



 def      UpperCAmelCase_							(				self      :Optional[int]						,       lowercase_      :Optional[int]							)->							List[str]:
     return default_hp_space_sigopt(lowercase_							)






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				"""wandb"""
 @staticmethod
 def      UpperCAmelCase_							(				)->							List[str]:
     return is_wandb_available()
 def      UpperCAmelCase_							(				self      :Dict						,       lowercase_      :Optional[Any]						,       lowercase_      :int						,       lowercase_      :str						,       **lowercase_      :Dict							)->							List[str]:
     return run_hp_search_wandb(lowercase_						,       lowercase_						,       lowercase_						,       **lowercase_							)



 def      UpperCAmelCase_							(				self      :Union[str, Any]						,       lowercase_      :str							)->							Dict:
     return default_hp_space_wandb(lowercase_							)

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





def 						UpperCamelCase				(							):
    A__				=			[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
    if len(_lowerCamelCase       ) > 0:
        A__				=			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()       )       )



