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	(   lowerCAmelCase							:   Union[str, Any]   , lowerCAmelCase							:   Tuple   , lowerCAmelCase							:   Any	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    1.5
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    int(factor * num_class_images	)
		SCREAMING_SNAKE_CASE_  :		Dict				      =    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:
				SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    client.query(text=lowerCAmelCase	)
				if len(lowerCAmelCase	) >= factor * num_class_images or num_images > 1E4:
						break
				else:
						SCREAMING_SNAKE_CASE_  :		Tuple				      =    int(factor * num_images	)
						SCREAMING_SNAKE_CASE_  :		Dict				      =    ClipClient(
						    url="https://knn.laion.ai/knn-service"   , indice_name="laion_400m"   , num_images=lowerCAmelCase   , aesthetic_weight=0.1   , )

		SCREAMING_SNAKE_CASE_  :		int				      =    0
		SCREAMING_SNAKE_CASE_  :		Dict				      =    0
		SCREAMING_SNAKE_CASE_  :		Tuple				      =    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:
						SCREAMING_SNAKE_CASE_  :		List[str]				      =    class_images[count]
						count += 1
						try:
								SCREAMING_SNAKE_CASE_  :		Any				      =    requests.get(images["url"]	)
								if img.status_code == 2_0_0:
										SCREAMING_SNAKE_CASE_  :		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       _snake_case	(   ):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    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=2_0_0   , type=lowerCAmelCase	)
		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 collections import defaultdict




def       _snake_case	(   lowerCAmelCase							:   int	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Any				      =    1
		SCREAMING_SNAKE_CASE_  :		Tuple				      =    True
		for v in tree[start]:
				if v not in visited:
						ret += dfs(lowerCAmelCase	)
		if ret % 2 == 0:
				cuts.append(lowerCAmelCase	)
		return ret




def       _snake_case	(   ):
		"""simple docstring"""







		dfs(1	)


if __name__ == "__main__":
		__lowerCamelCase   ,						__lowerCamelCase					:	Union[str, Any]       =  10, 9
		__lowerCamelCase					:	Optional[int]       =  defaultdict(list)
		__lowerCamelCase					:	dict[int, bool]       =  {}
		__lowerCamelCase					:	list[int]       =  []
		__lowerCamelCase					:	Optional[Any]       =  0
		__lowerCamelCase					:	Any       =  [(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
		for u, v in edges:
				tree[u].append(v)
				tree[v].append(u)
		even_tree()
		print(len(cuts) - 1)
