




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    UpperCAmelCase_				( __UpperCAmelCase		:      Union[str, Any]     ,     __UpperCAmelCase		:      Dict     ,     __UpperCAmelCase		:      Optional[Any]				)   ->					Dict:
      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=__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:
            SCREAMING_SNAKE_CASE_      		=     client.query(text=__UpperCAmelCase				)
            if len(__UpperCAmelCase				) >= 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=__UpperCAmelCase     ,     aesthetic_weight=0.1     ,     )

      SCREAMING_SNAKE_CASE_      		=     0
      SCREAMING_SNAKE_CASE_      		=     0
      SCREAMING_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:
                  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    UpperCAmelCase_				( )   ->					Optional[int]:
      SCREAMING_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=2_00     ,     type=__UpperCAmelCase				)
      return parser.parse_args()


if __name__ == "__main__":
   lowerCamelCase__					:  List[Any]      							=				parse_args()
   retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)





from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__					:  Optional[int]      							=				{'configuration_mmbt': ['MMBTConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__					:  Any      							=				['MMBTForClassification', 'MMBTModel', 'ModalEmbeddings']


if TYPE_CHECKING:
   from .configuration_mmbt import MMBTConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
   import sys

   lowerCamelCase__					:  str      							=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)