


import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout



def     __lowerCAmelCase						(							snake_case	:    Optional[Any] )       ->							Any:
			__lowerCamelCase:				int     =	FileLock(str(tmpdir / """foo.lock""" ) )
			__lowerCamelCase:				int     =	FileLock(str(tmpdir / """foo.lock""" ) )
			__lowerCamelCase:				List[Any]     =	0.01
			with locka.acquire():
						with pytest.raises(A__ ):
									__lowerCamelCase:				List[str]     =	time.time()
									locka.acquire(A__ )
									assert time.time() - _start > timeout







def     __lowerCAmelCase						(							snake_case	:    Dict )       ->							Dict:
			__lowerCamelCase:				str     =	"""a""" * 1000 + """.lock"""
			__lowerCamelCase:				Tuple     =	FileLock(str(tmpdir / filename ) )
			assert locka._lock_file.endswith(""".lock""" )
			assert not locka._lock_file.endswith(A__ )
			assert len(os.path.basename(locka._lock_file ) ) <= 255
			__lowerCamelCase:				List[Any]     =	FileLock(tmpdir / filename )
			with locka.acquire():
						with pytest.raises(A__ ):
									locka.acquire(0 )






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)


