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					(   lowercase__	:      Tuple  ,	lowercase__	:      Dict  ,	lowercase__	:      Dict			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Tuple      =		1.5
     SCREAMING_SNAKE_CASE__					:					Any      =		int(factor * num_class_images			)
     SCREAMING_SNAKE_CASE__					:					Optional[Any]      =		ClipClient(
         url='https://knn.laion.ai/knn-service'  ,	indice_name='laion_400m'  ,	num_images=lowercase__  ,	aesthetic_weight=0.1			)

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

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

     SCREAMING_SNAKE_CASE__					:					int      =		0
     SCREAMING_SNAKE_CASE__					:					Dict      =		0
     SCREAMING_SNAKE_CASE__					:					int      =		tqdm(desc='downloading real regularization images'  ,	total=lowercase__			)

     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__					:					Tuple      =		class_images[count]
               count += 1
               try:
                    SCREAMING_SNAKE_CASE__					:					int      =		requests.get(images['url']			)
                    if img.status_code == 2_00:
                         SCREAMING_SNAKE_CASE__					:					Tuple      =		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__					:					Any      =		argparse.ArgumentParser(''  ,	add_help=lowercase__			)
     parser.add_argument('--class_prompt'  ,	help='text prompt to retrieve images'  ,	required=lowercase__  ,	type=lowercase__			)
     parser.add_argument('--class_data_dir'  ,	help='path to save images'  ,	required=lowercase__  ,	type=lowercase__			)
     parser.add_argument('--num_class_images'  ,	help='number of images to download'  ,	default=2_00  ,	type=lowercase__			)
     return parser.parse_args()


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








'''simple docstring'''





# flake8: noqa
# Lint as: python3
__a  			=						[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental
