

"""simple docstring"""






lowerCamelCase__					:	Any				    =	'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''
def    UpperCamelCase       (      )					->      None:
	_UpperCAmelCase     :				int          =       input("""Enter message: """			)
	_UpperCAmelCase     :				Union[str, Any]          =       input("""Enter key [alphanumeric]: """			)
	_UpperCAmelCase     :				Any          =       input("""Encrypt/Decrypt [e/d]: """			)

	if mode.lower().startswith("""e"""			):
		_UpperCAmelCase     :				Tuple          =       """encrypt"""
		_UpperCAmelCase     :				List[str]          =       encrypt_message(__a,	__a			)
	elif mode.lower().startswith("""d"""			):
		_UpperCAmelCase     :				Union[str, Any]          =       """decrypt"""
		_UpperCAmelCase     :				str          =       decrypt_message(__a,	__a			)

	print(f'''\n{mode.title()}ed message:'''			)
	print(__a			)
def    UpperCamelCase       (      _lowerCAmelCase  :    str,	_lowerCAmelCase  :    str			)					->      str:
	return translate_message(__a,	__a,	"""encrypt"""			)
def    UpperCamelCase       (      _lowerCAmelCase  :    str,	_lowerCAmelCase  :    str			)					->      str:
	return translate_message(__a,	__a,	"""decrypt"""			)
def    UpperCamelCase       (      _lowerCAmelCase  :    str,	_lowerCAmelCase  :    str,	_lowerCAmelCase  :    str			)					->      str:
	_UpperCAmelCase     :				int          =       []
	_UpperCAmelCase     :				Dict          =       0
	_UpperCAmelCase     :				Optional[Any]          =       key.upper()

	for symbol in message:
		_UpperCAmelCase     :				int          =       LETTERS.find(symbol.upper()			)
		if num != -1:
			if mode == "encrypt":
				num += LETTERS.find(key[key_index]			)
			elif mode == "decrypt":
				num -= LETTERS.find(key[key_index]			)

			num %= len(__a			)

			if symbol.isupper():
				translated.append(LETTERS[num]			)
			elif symbol.islower():
				translated.append(LETTERS[num].lower()			)

			key_index += 1
			if key_index == len(__a			):
				_UpperCAmelCase     :				List[str]          =       0
		else:
			translated.append(__a			)
	return "".join(__a			)


if __name__ == "__main__":
						main()












import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
					A       :   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.''',
					)

					A       :   List[Any]					= parser.parse_args()

					A       :   int					= UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

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

					A       :   Tuple					= 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)



