

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







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					lowercase__												=			42
					lowercase__												=			None







					@staticmethod
					def 			__lowerCAmelCase					(			):
						raise NotImplementedError







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							Tuple  ,lowercase_     :							int  ,lowercase_     :							str  ,**lowercase_     :							Union[str, Any]						):
						raise NotImplementedError







					def 			__lowerCAmelCase					(			self     :							str  ,lowercase_     :							Dict						):
						raise NotImplementedError







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







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"optuna"







					@staticmethod
					def 			__lowerCAmelCase					(			):
						return is_optuna_available()







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Dict  ,lowercase_     :							int  ,lowercase_     :							str  ,**lowercase_     :							Tuple						):
						return run_hp_search_optuna(lowercase_  ,lowercase_  ,lowercase_  ,**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							List[Any]  ,lowercase_     :							List[str]						):
						return default_hp_space_optuna(lowercase_						)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"ray"
					lowercase__												=			"'ray[tune]'"







					@staticmethod
					def 			__lowerCAmelCase					(			):
						return is_ray_available()







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Dict  ,lowercase_     :							int  ,lowercase_     :							str  ,**lowercase_     :							Dict						):
						return run_hp_search_ray(lowercase_  ,lowercase_  ,lowercase_  ,**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Optional[Any]  ,lowercase_     :							int						):
						return default_hp_space_ray(lowercase_						)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"sigopt"







					@staticmethod
					def 			__lowerCAmelCase					(			):
						return is_sigopt_available()







					def 			__lowerCAmelCase					(			self     :							str  ,lowercase_     :							str  ,lowercase_     :							int  ,lowercase_     :							str  ,**lowercase_     :							Optional[Any]						):
						return run_hp_search_sigopt(lowercase_  ,lowercase_  ,lowercase_  ,**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Optional[int]  ,lowercase_     :							Dict						):
						return default_hp_space_sigopt(lowercase_						)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"wandb"







					@staticmethod
					def 			__lowerCAmelCase					(			):
						return is_wandb_available()







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Optional[int]  ,lowercase_     :							int  ,lowercase_     :							str  ,**lowercase_     :							int						):
						return run_hp_search_wandb(lowercase_  ,lowercase_  ,lowercase_  ,**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Optional[int]  ,lowercase_     :							Optional[Any]						):
						return default_hp_space_wandb(lowercase_						)

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

def     __SCREAMING_SNAKE_CASE    ( ):
	lowerCAmelCase__      :		int    							=      [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
	if len(A_					) > 0:
		lowerCAmelCase__      :		Optional[int]    							=      available_backends[0].name
		if len(A_					) > 1:
			logger.info(
			    f'{len(A_					)} 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"""





# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# 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.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
							from PIL import Image







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			"Salesforce/blip-image-captioning-base"
					lowercase__												=			(
					    "This is a tool that generates a description of an image. It takes an input named `image` which should be the "
					    "image to caption, and returns a text that contains the description in English."
					)
					lowercase__												=			"image_captioner"
					lowercase__												=			AutoModelForVisionaSeq

					lowercase__												=			["image"]
					lowercase__												=			["text"]







					def __init__(			self     :							int  ,*lowercase_     :							int  ,**lowercase_     :							List[str]						):
						requires_backends(self  ,['''vision''']						)
						super().__init__(*lowercase_  ,**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							List[str]  ,lowercase_     :							"Image"						):
						return self.pre_processor(images=lowercase_  ,return_tensors='''pt'''						)







					def 			__lowerCAmelCase					(			self     :							List[Any]  ,lowercase_     :							Any						):
						return self.model.generate(**lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Union[str, Any]						):
						return self.pre_processor.batch_decode(lowercase_  ,skip_special_tokens=lowercase_						)[0].strip()




