

"""simple docstring"""



import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_					:	List[str]							  =						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.',
 )

 SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						parser.parse_args()

 SCREAMING_SNAKE_CASE_					:	List[Any]							  =						UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

 SCREAMING_SNAKE_CASE_					:	Tuple							  =						CLIPImageProcessor()
 SCREAMING_SNAKE_CASE_					:	int							  =						CLIPVisionModelWithProjection.from_pretrained('openai/clip-vit-large-patch14')

 SCREAMING_SNAKE_CASE_					:	Dict							  =						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)









"""simple docstring"""



from collections.abc import Callable





def  _snake_case     (    UpperCAmelCase_  :					Callable[[float], float]					,   UpperCAmelCase_  :					float					,   UpperCAmelCase_  :					float			):
     A__										=  a
     A__										=  b
     if function(UpperCAmelCase_			) == 0:  # one of the a or b is a root for the function
          return a
     elif function(UpperCAmelCase_			) == 0:
          return b
     elif (
         function(UpperCAmelCase_			) * function(UpperCAmelCase_			) > 0
     ):  # if none of these are root and they are both positive or negative,
          # then this algorithm can't find the root
          raise ValueError("""could not find root in given interval."""			)
     else:
          A__										=  start + (end - start) / 2.0
          while abs(start - mid			) > 10**-7:  # until precisely equals to 10^-7
               if function(UpperCAmelCase_			) == 0:
                    return mid
               elif function(UpperCAmelCase_			) * function(UpperCAmelCase_			) < 0:
                    A__										=  mid
               else:
                    A__										=  mid
               A__										=  start + (end - start) / 2.0
          return mid





def  _snake_case     (    UpperCAmelCase_  :					float			):
     return x**3 - 2 * x - 5


if __name__ == "__main__":
 print(bisection(f, 1, 1_0_0_0))

 import doctest

 doctest.testmod()






