



'''simple docstring'''





from __future__ import annotations

def 			a_	(				_lowerCAmelCase			) -> bool:
  __lowerCamelCase			:			Dict       			=					len(_lowerCAmelCase			)
  # We need to create solution object to save path.
  __lowerCamelCase			:			Optional[int]       			=					[[0 for _ in range(_lowerCAmelCase			)] for _ in range(_lowerCAmelCase			)]
  __lowerCamelCase			:			Dict       			=					run_maze(_lowerCAmelCase			,0			,0			,_lowerCAmelCase			)
  if solved:
    print('\n'.join(str(_lowerCAmelCase			) for row in solutions			)			)
  else:
    print('No solution exists!'			)
  return solved

def 			a_	(				_lowerCAmelCase			,_lowerCAmelCase			,_lowerCAmelCase			,_lowerCAmelCase			) -> bool:
  __lowerCamelCase			:			Dict       			=					len(_lowerCAmelCase			)
  # Final check point.
  if i == j == (size - 1):
    __lowerCamelCase			:			Dict       			=					1
    return True

  __lowerCamelCase			:			Optional[int]       			=					(not i < 0) and (not j < 0)  # Check lower bounds
  __lowerCamelCase			:			Tuple       			=					(i < size) and (j < size)  # Check upper bounds

  if lower_flag and upper_flag:
    # check for already visited and block points.
    __lowerCamelCase			:			Any       			=					(not solutions[i][j]) and (not maze[i][j])
    if block_flag:
      # check visited
      __lowerCamelCase			:			Optional[int]       			=					1

      # check for directions
      if (
          run_maze(_lowerCAmelCase			,i + 1			,_lowerCAmelCase			,_lowerCAmelCase			)
          or run_maze(_lowerCAmelCase			,_lowerCAmelCase			,j + 1			,_lowerCAmelCase			)
          or run_maze(_lowerCAmelCase			,i - 1			,_lowerCAmelCase			,_lowerCAmelCase			)
          or run_maze(_lowerCAmelCase			,_lowerCAmelCase			,j - 1			,_lowerCAmelCase			)
      ):
        return True

      __lowerCamelCase			:			List[Any]       			=					0
      return False
  return False


if __name__ == "__main__":
   import doctest

   doctest.testmod()











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

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

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

  __lowerCamelCase			:			List[Any]       			=					0
  __lowerCamelCase			:			Tuple       			=					0
  __lowerCamelCase			:			int       			=					tqdm(desc='downloading real regularization images'			,total=_lowerCAmelCase			)

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


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






