






'''simple docstring'''

from __future__ import annotations






class        a_		:

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE = 0   )						->   Tuple:



        """simple docstring"""






        UpperCamelCase       						=      key

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )						->   list[str]:



        """simple docstring"""






        assert isinstance(A__    ,	A__   ) and isinstance(A__    ,	A__   )

        UpperCamelCase       						=      key or self.__key or 1

        # make sure key is an appropriate size
        key %= 255

        return [chr(ord(A__   ) ^ key   ) for ch in content]

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )						->   list[str]:



        """simple docstring"""






        assert isinstance(A__    ,	A__   ) and isinstance(A__    ,	A__   )

        UpperCamelCase       						=      key or self.__key or 1

        # make sure key is an appropriate size
        key %= 255

        return [chr(ord(A__   ) ^ key   ) for ch in content]

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = 0   )						->   str:



        """simple docstring"""






        assert isinstance(A__    ,	A__   ) and isinstance(A__    ,	A__   )

        UpperCamelCase       						=      key or self.__key or 1

        # make sure key can be any size
        while key > 255:
              key -= 255

        # This will be returned
        UpperCamelCase       						=      """"""

        for ch in content:
              ans += chr(ord(A__   ) ^ key   )

        return ans

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = 0   )						->   str:



        """simple docstring"""






        assert isinstance(A__    ,	A__   ) and isinstance(A__    ,	A__   )

        UpperCamelCase       						=      key or self.__key or 1

        # make sure key can be any size
        while key > 255:
              key -= 255

        # This will be returned
        UpperCamelCase       						=      """"""

        for ch in content:
              ans += chr(ord(A__   ) ^ key   )

        return ans

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE = 0   )						->   bool:



        """simple docstring"""






        assert isinstance(A__    ,	A__   ) and isinstance(A__    ,	A__   )

        try:
              with open(A__   ) as fin, open("""encrypt.out"""    ,	"""w+"""   ) as fout:
                    # actual encrypt-process
                    for line in fin:
                          fout.write(self.encrypt_string(A__    ,	A__   )   )

        except OSError:
              return False

        return True


  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )						->   bool:



        """simple docstring"""






        assert isinstance(A__    ,	A__   ) and isinstance(A__    ,	A__   )

        try:
              with open(A__   ) as fin, open("""decrypt.out"""    ,	"""w+"""   ) as fout:
                    # actual encrypt-process
                    for line in fin:
                          fout.write(self.decrypt_string(A__    ,	A__   )   )

        except OSError:
              return False

        return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")








'''simple docstring'''

import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
     SCREAMING_SNAKE_CASE__											=     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__											=     parser.parse_args()

     SCREAMING_SNAKE_CASE__											=     UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

     SCREAMING_SNAKE_CASE__											=     CLIPImageProcessor()
     SCREAMING_SNAKE_CASE__											=     CLIPVisionModelWithProjection.from_pretrained('openai/clip-vit-large-patch14')

     SCREAMING_SNAKE_CASE__											=     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)
