


'''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_   (  SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Any     		=      1.5
				_SCREAMING_SNAKE_CASE :       List[str]     		=      int(factor * num_class_images     )
				_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      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 :       str     		=      client.query(text=UpperCamelCase__     )
								if len(UpperCamelCase__     ) >= 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=UpperCamelCase__							,      aesthetic_weight=0.1							,      )

				_SCREAMING_SNAKE_CASE :       List[Any]     		=      0
				_SCREAMING_SNAKE_CASE :       Optional[int]     		=      0
				_SCREAMING_SNAKE_CASE :       int     		=      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 :       Optional[int]     		=      class_images[count]
												count += 1
												try:
																_SCREAMING_SNAKE_CASE :       Dict     		=      requests.get(images["""url"""]     )
																if img.status_code == 200:
																				_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 :       Dict     		=      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__":
				UpperCAmelCase_		:   Optional[int]							   =		parse_args()
				retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)







from PIL import Image





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    (259 * (level + 255)) / (255 * (259 - level))

							def contrast(UpperCamelCase__      ) -> int:
														return int(128 + factor * (c - 128)      )

							return img.point(UpperCamelCase__      )


if __name__ == "__main__":
					# Load image
					with Image.open("""image_data/lena.jpg""") as img:
										# Change contrast to 170
										_UpperCAmelCase		:   Tuple										=       change_contrast(img, 170)
										cont_img.save("""image_data/lena_high_contrast.png""", format="""png""")




