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

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

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

 SCREAMING_SNAKE_CASE__:   int=      0
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      0
 SCREAMING_SNAKE_CASE__:   Dict=      tqdm(desc='''downloading real regularization images'''       ,				total=snake_case_      )

 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__:   Dict=      class_images[count]
   count += 1
   try:
    SCREAMING_SNAKE_CASE__:   Union[str, Any]=      requests.get(images['''url''']      )
    if img.status_code == 200:
     SCREAMING_SNAKE_CASE__:   List[str]=      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__      (	):
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      argparse.ArgumentParser(''''''       ,				add_help=snake_case_      )
 parser.add_argument('''--class_prompt'''       ,				help='''text prompt to retrieve images'''       ,				required=snake_case_       ,				type=snake_case_      )
 parser.add_argument('''--class_data_dir'''       ,				help='''path to save images'''       ,				required=snake_case_       ,				type=snake_case_      )
 parser.add_argument('''--num_class_images'''       ,				help='''number of images to download'''       ,				default=200       ,				type=snake_case_      )
 return parser.parse_args()


if __name__ == "__main__":
      lowercase_     :   Any 				=				parse_args()
      retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)


import os







def 			A__      (	snake_case_ :		str = "matrix.txt"      ):
 with open(os.path.join(os.path.dirname(snake_case_      )       ,				snake_case_      )      ) as in_file:
  SCREAMING_SNAKE_CASE__:   Dict=      in_file.read()

 SCREAMING_SNAKE_CASE__:   Optional[int]=      [[int(snake_case_      ) for cell in row.split(''','''      )] for row in data.strip().splitlines()]
 SCREAMING_SNAKE_CASE__:   int=      [[0 for cell in row] for row in grid]
 SCREAMING_SNAKE_CASE__:   Dict=      len(grid[0]      )

 SCREAMING_SNAKE_CASE__:   Dict=      [[0 for i in range(snake_case_      )] for j in range(snake_case_      )]
 SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][0]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][i] + dp[0][i - 1]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   List[Any]=      grid[i][0] + dp[i - 1][0]

 for i in range(1       ,				snake_case_      ):
  for j in range(1       ,				snake_case_      ):
   SCREAMING_SNAKE_CASE__:   Dict=      grid[i][j] + min(dp[i - 1][j]       ,				dp[i][j - 1]      )

 return dp[-1][-1]


if __name__ == "__main__":
      print(f'''{solution() = }''')

