





import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
      __UpperCAmelCase	:       List[Any]    	=							argparse.ArgumentParser()

      parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")

      parser.add_argument(
          "--txt2img_unclip",
          default="kakaobrain/karlo-v1-alpha",
          type=str,
          required=False,
          help="The pretrained txt2img unclip.",
      )

      __UpperCAmelCase	:       Dict    	=							parser.parse_args()

      __UpperCAmelCase	:       List[str]    	=							UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

      __UpperCAmelCase	:       List[Any]    	=							CLIPImageProcessor()
      __UpperCAmelCase	:       str    	=							CLIPVisionModelWithProjection.from_pretrained("openai/clip-vit-large-patch14")

      __UpperCAmelCase	:       Optional[int]    	=							UnCLIPImageVariationPipeline(
          decoder=txtaimg.decoder,
          text_encoder=txtaimg.text_encoder,
          tokenizer=txtaimg.tokenizer,
          text_proj=txtaimg.text_proj,
          feature_extractor=feature_extractor,
          image_encoder=image_encoder,
          super_res_first=txtaimg.super_res_first,
          super_res_last=txtaimg.super_res_last,
          decoder_scheduler=txtaimg.decoder_scheduler,
          super_res_scheduler=txtaimg.super_res_scheduler,
      )

      imgaimg.save_pretrained(args.dump_path)













import math







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   int:

  if not isinstance(SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__):
    __snake_case:						Optional[int]			  =						F'''Input value of [number={number}] must be an integer'''
    raise TypeError(SCREAMING_SNAKE_CASE__)

  if number < 1:
    __snake_case:						Optional[int]			  =						F'''Input value of [number={number}] must be > 0'''
    raise ValueError(SCREAMING_SNAKE_CASE__)
  elif number == 1:
    return 3
  elif number == 2:
    return 5
  else:
    __snake_case:						List[Any]			  =						int(math.log(number // 3 , 2)) + 2

    __snake_case:						str			  =						[3, 5]
    __snake_case:						int			  =						2
    __snake_case:						List[str]			  =						3
    for block in range(1 , SCREAMING_SNAKE_CASE__):
      for _ in range(SCREAMING_SNAKE_CASE__):
        proth_list.append(2 ** (block + 1) + proth_list[proth_index - 1])
        proth_index += 1
      increment *= 2

  return proth_list[number - 1]


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      for number in range(11):
            __UpperCAmelCase	:       Optional[int]    	=							0
            try:
                  __UpperCAmelCase	:       int    	=							proth(number)
            except ValueError:
                  print(f'ValueError: there is no {number}th Proth number')
                  continue

            print(f'The {number}th Proth number: {value}')






