





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


lowercase      :       Tuple									=  logging.get_logger(__name__)





class  A__    :




   """simple docstring"""



   __A   :				str
   __A   :				str         =  None

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







          '''simple docstring'''

          raise NotImplementedError

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase					,  **lowercase)			->						Optional[int]:







          '''simple docstring'''

          raise NotImplementedError

   def 							__lowercase		(					self					,  lowercase)			->						str:







          '''simple docstring'''

          raise NotImplementedError

   def 							__lowercase		(					self)			->						List[str]:







          '''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 							__lowercase		(					cls)			->						int:







          '''simple docstring'''

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





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Dict         =  '''optuna'''

   @staticmethod
   def 							__lowercase		(					)			->						Optional[Any]:







          '''simple docstring'''

          return is_optuna_available()

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase					,  **lowercase)			->						List[str]:







          '''simple docstring'''

          return run_hp_search_optuna(lowercase					,  lowercase					,  lowercase					,  **lowercase)

   def 							__lowercase		(					self					,  lowercase)			->						int:







          '''simple docstring'''

          return default_hp_space_optuna(lowercase)





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Any         =  '''ray'''
   __A   :				Optional[int]         =  '''\'ray[tune]\''''

   @staticmethod
   def 							__lowercase		(					)			->						List[Any]:







          '''simple docstring'''

          return is_ray_available()

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase					,  **lowercase)			->						Any:







          '''simple docstring'''

          return run_hp_search_ray(lowercase					,  lowercase					,  lowercase					,  **lowercase)

   def 							__lowercase		(					self					,  lowercase)			->						int:







          '''simple docstring'''

          return default_hp_space_ray(lowercase)





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Union[str, Any]         =  '''sigopt'''

   @staticmethod
   def 							__lowercase		(					)			->						List[Any]:







          '''simple docstring'''

          return is_sigopt_available()

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase					,  **lowercase)			->						Union[str, Any]:







          '''simple docstring'''

          return run_hp_search_sigopt(lowercase					,  lowercase					,  lowercase					,  **lowercase)

   def 							__lowercase		(					self					,  lowercase)			->						List[Any]:







          '''simple docstring'''

          return default_hp_space_sigopt(lowercase)





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Optional[Any]         =  '''wandb'''

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







          '''simple docstring'''

          return is_wandb_available()

   def 							__lowercase		(					self					,  lowercase					,  lowercase					,  lowercase					,  **lowercase)			->						Union[str, Any]:







          '''simple docstring'''

          return run_hp_search_wandb(lowercase					,  lowercase					,  lowercase					,  **lowercase)

   def 							__lowercase		(					self					,  lowercase)			->						Tuple:







          '''simple docstring'''

          return default_hp_space_wandb(lowercase)

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



def A_	(		)  ->		str:
       a__						:	Union[str, Any] =				[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
       if len(A__				) > 0:
              a__						:	Any =				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()				)				)





import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    1.5
							snake_case_							=    int(factor * num_class_images      )
							snake_case_							=    ClipClient(
							    url='https://knn.laion.ai/knn-service'   ,							indice_name='laion_400m'   ,							num_images=UpperCamelCase__   ,							aesthetic_weight=0.1      )

							os.makedirs(F'''{class_data_dir}/images'''   ,							exist_ok=UpperCamelCase__      )
							if len(list(Path(F'''{class_data_dir}/images'''      ).iterdir()      )      ) >= num_class_images:
														return

							while True:
														snake_case_							=    client.query(text=UpperCamelCase__      )
														if len(UpperCamelCase__      ) >= factor * num_class_images or num_images > 1E4:
																					break
														else:
																					snake_case_							=    int(factor * num_images      )
																					snake_case_							=    ClipClient(
																					    url='https://knn.laion.ai/knn-service'   ,							indice_name='laion_400m'   ,							num_images=UpperCamelCase__   ,							aesthetic_weight=0.1   ,							)

							snake_case_							=    0
							snake_case_							=    0
							snake_case_							=    tqdm(desc='downloading real regularization images'   ,							total=UpperCamelCase__      )

							with open(F'''{class_data_dir}/caption.txt'''   ,							'w'      ) as fa, open(F'''{class_data_dir}/urls.txt'''   ,							'w'      ) as fa, open(
							    F'''{class_data_dir}/images.txt'''   ,							'w'      ) as fa:
														while total < num_class_images:
																					snake_case_							=    class_images[count]
																					count += 1
																					try:
																												snake_case_							=    requests.get(images['url']      )
																												if img.status_code == 200:
																																			snake_case_							=    Image.open(BytesIO(img.content      )      )
																																			with open(F'''{class_data_dir}/images/{total}.jpg'''   ,							'wb'      ) as f:
																																										f.write(img.content      )
																																			fa.write(images['caption'] + '\n'      )
																																			fa.write(images['url'] + '\n'      )
																																			fa.write(F'''{class_data_dir}/images/{total}.jpg''' + '\n'      )
																																			total += 1
																																			pbar.update(1      )
																												else:
																																			continue
																					except Exception:
																												continue
							return





def 					__lowerCamelCase	( ):







							'''simple docstring'''






							snake_case_							=    argparse.ArgumentParser(''   ,							add_help=UpperCamelCase__      )
							parser.add_argument('--class_prompt'   ,							help='text prompt to retrieve images'   ,							required=UpperCamelCase__   ,							type=UpperCamelCase__      )
							parser.add_argument('--class_data_dir'   ,							help='path to save images'   ,							required=UpperCamelCase__   ,							type=UpperCamelCase__      )
							parser.add_argument('--num_class_images'   ,							help='number of images to download'   ,							default=200   ,							type=UpperCamelCase__      )
							return parser.parse_args()


if __name__ == "__main__":
					_UpperCAmelCase		:   Optional[int]										=       parse_args()
					retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)




