


from unittest.mock import Mock, patch

from file_transfer.send_file import send_file



@patch("""socket.socket""" )
@patch("""builtins.open""" )
def     __lowerCAmelCase						(							snake_case	:    List[Any]						,      snake_case	:    int )       ->							List[str]:
   # ===== initialization =====
   __lowerCamelCase:				List[str]     =	Mock()
   __lowerCamelCase:				Optional[Any]     =	conn, Mock()
   __lowerCamelCase:				int     =	iter([1, None] )
   __lowerCamelCase:				Union[str, Any]     =	lambda snake_case : next(snake_case )

   # ===== invoke =====
   send_file(filename="""mytext.txt"""						,      testing=snake_case )

   # ===== ensurance =====
   sock.assert_called_once()
   sock.return_value.bind.assert_called_once()
   sock.return_value.listen.assert_called_once()
   sock.return_value.accept.assert_called_once()
   conn.recv.assert_called_once()

   file.return_value.__enter__.assert_called_once()
   file.return_value.__enter__.return_value.read.assert_called()

   conn.send.assert_called_once()
   conn.close.assert_called_once()
   sock.return_value.shutdown.assert_called_once()
   sock.return_value.close.assert_called_once()






import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


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

   _A		:				Optional[Any]									=       parser.parse_args()

   _A		:				str									=       UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

   _A		:				Optional[Any]									=       CLIPImageProcessor()
   _A		:				List[Any]									=       CLIPVisionModelWithProjection.from_pretrained('''openai/clip-vit-large-patch14''')

   _A		:				str									=       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)


