

"""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  _snake_case     (    UpperCAmelCase_  :					int					,   UpperCAmelCase_  :					str					,   UpperCAmelCase_  :					Any			):
     A__										=  1.5
     A__										=  int(factor * num_class_images			)
     A__										=  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:
          A__										=  client.query(text=UpperCAmelCase_			)
          if len(UpperCAmelCase_			) >= factor * num_class_images or num_images > 1e4:
               break
          else:
               A__										=  int(factor * num_images			)
               A__										=  ClipClient(
                   url="""https://knn.laion.ai/knn-service"""					,   indice_name="""laion_400m"""					,   num_images=UpperCAmelCase_					,   aesthetic_weight=0.1					,   )

     A__										=  0
     A__										=  0
     A__										=  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:
               A__										=  class_images[count]
               count += 1
               try:
                    A__										=  requests.get(images["""url"""]			)
                    if img.status_code == 200:
                         A__										=  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  _snake_case     (    ):
     A__										=  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__":
 SCREAMING_SNAKE_CASE_					:	Optional[Any]							  =						parse_args()
 retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)









"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					Optional[Any]					,   UpperCAmelCase_  :					Optional[Any]			):
     A__										=  [0 for i in range(r + 1			)]
     # nc0 = 1
     A__										=  1
     for i in range(1					,   n + 1			):
          # to compute current row from previous row.
          A__										=  min(UpperCAmelCase_					,   UpperCAmelCase_			)
          while j > 0:
               c[j] += c[j - 1]
               j -= 1
     return c[r]

print(binomial_coefficient(n=1_0, r=5))






