

'''simple docstring'''



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   a__			(    a__ ,       a__ ,       a__		):




     """simple docstring"""


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

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

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

     __SCREAMING_SNAKE_CASE      = 0
     __SCREAMING_SNAKE_CASE      = 0
     __SCREAMING_SNAKE_CASE      = tqdm(desc="""downloading real regularization images""" ,       total=a__		)

     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:
               __SCREAMING_SNAKE_CASE      = class_images[count]
               count += 1
               try:
                    __SCREAMING_SNAKE_CASE      = requests.get(images["""url"""]		)
                    if img.status_code == 2_00:
                         __SCREAMING_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   a__			(    ):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = argparse.ArgumentParser("""""" ,       add_help=a__		)
     parser.add_argument("""--class_prompt""" ,       help="""text prompt to retrieve images""" ,       required=a__ ,       type=a__		)
     parser.add_argument("""--class_data_dir""" ,       help="""path to save images""" ,       required=a__ ,       type=a__		)
     parser.add_argument("""--num_class_images""" ,       help="""number of images to download""" ,       default=2_00 ,       type=a__		)
     return parser.parse_args()


if __name__ == "__main__":
  UpperCAmelCase					:			Union[str, Any]       =	parse_args()
  retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)









'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase					:			Tuple       =	logging.get_logger(__name__)

UpperCAmelCase					:			Any       =	{'ctrl': 'https://huggingface.co/ctrl/resolve/main/config.json'}







class 		lowerCAmelCase__  ( a   ):



 """simple docstring"""



 lowerCAmelCase__       = "ctrl"
 lowerCAmelCase__       = ["past_key_values"]
 lowerCAmelCase__       = {
     "max_position_embeddings": "n_positions",
     "hidden_size": "n_embd",
     "num_attention_heads": "n_head",
     "num_hidden_layers": "n_layer",
 }
 def __init__(						self   :			Tuple   ,				__SCREAMING_SNAKE_CASE   :			Tuple=246_534   ,				__SCREAMING_SNAKE_CASE   :			str=256   ,				__SCREAMING_SNAKE_CASE   :			Optional[Any]=1_280   ,				__SCREAMING_SNAKE_CASE   :			Dict=8_192   ,				__SCREAMING_SNAKE_CASE   :			Union[str, Any]=48   ,				__SCREAMING_SNAKE_CASE   :			Dict=16   ,				__SCREAMING_SNAKE_CASE   :			Union[str, Any]=0.1   ,				__SCREAMING_SNAKE_CASE   :			str=0.1   ,				__SCREAMING_SNAKE_CASE   :			Union[str, Any]=1E-6   ,				__SCREAMING_SNAKE_CASE   :			Tuple=0.02   ,				__SCREAMING_SNAKE_CASE   :			Tuple=True   ,				**__SCREAMING_SNAKE_CASE   :			Union[str, Any]   ,				)    ->					Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE      = vocab_size
      __SCREAMING_SNAKE_CASE      = n_positions
      __SCREAMING_SNAKE_CASE      = n_embd
      __SCREAMING_SNAKE_CASE      = n_layer
      __SCREAMING_SNAKE_CASE      = n_head
      __SCREAMING_SNAKE_CASE      = dff
      __SCREAMING_SNAKE_CASE      = resid_pdrop
      __SCREAMING_SNAKE_CASE      = embd_pdrop
      __SCREAMING_SNAKE_CASE      = layer_norm_epsilon
      __SCREAMING_SNAKE_CASE      = initializer_range

      __SCREAMING_SNAKE_CASE      = use_cache

      super().__init__(**__SCREAMING_SNAKE_CASE     )






