
"""simple docstring"""
import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


SCREAMING_SNAKE_CASE_ 			=     {
    '''<''': operator.lt,
    '''<=''': operator.le,
    '''==''': operator.eq,
    '''!=''': operator.ne,
    '''>=''': operator.ge,
    '''>''': operator.gt,
}

def       lowercase			(_lowerCAmelCase      ,  _lowerCAmelCase      ,  _lowerCAmelCase      ,  _lowerCAmelCase      ,  _lowerCAmelCase      ,  _lowerCAmelCase		):


						if got_ver is None or want_ver is None:
												raise ValueError(
												    f"""Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"""
												    f""" reinstalling {pkg}."""		)
						if not ops[op](version.parse(_UpperCamelCase		)      ,  version.parse(_UpperCamelCase		)		):
												raise ImportError(
												    f"""{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"""		)

def       lowercase			(_lowerCAmelCase      ,  _lowerCAmelCase = None		):
						__lowerCAmelCase   					=   f"""\n{hint}""" if hint is not None else ''''''

						# non-versioned check
						if re.match(r"""^[\w_\-\d]+$"""      ,  _UpperCamelCase		):
												__lowerCAmelCase   					=   requirement, None, None
						else:
												__lowerCAmelCase   					=   re.findall(r"""^([^!=<>\s]+)([\s!=<>]{1,2}.+)"""      ,  _UpperCamelCase		)
												if not match:
																		raise ValueError(
																		    """requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but"""
																		    f""" got {requirement}"""		)
												__lowerCAmelCase   					=   match[0]
												__lowerCAmelCase   					=   want_full.split(""","""		)  # there could be multiple requirements
												__lowerCAmelCase   					=   {}
												for w in want_range:
																		__lowerCAmelCase   					=   re.findall(r"""^([\s!=<>]{1,2})(.+)"""      ,  _UpperCamelCase		)
																		if not match:
																								raise ValueError(
																								    """requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,"""
																								    f""" but got {requirement}"""		)
																		__lowerCAmelCase   					=   match[0]
																		__lowerCAmelCase   					=   want_ver
																		if op not in ops:
																								raise ValueError(f"""{requirement}: need one of {list(ops.keys()		)}, but got {op}"""		)

    # special case
						if pkg == "python":
												__lowerCAmelCase   					=   '''.'''.join([str(_UpperCamelCase		) for x in sys.version_info[:3]]		)
												for op, want_ver in wanted.items():
																		_compare_versions(_UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase		)
												return

						# check if any version is installed
						try:
												__lowerCAmelCase   					=   importlib.metadata.version(_UpperCamelCase		)
						except importlib.metadata.PackageNotFoundError:
												raise importlib.metadata.PackageNotFoundError(
												    f"""The \'{requirement}\' distribution was not found and is required by this application. {hint}"""		)

						# check that the right version is installed if version number or a range was provided
						if want_ver is not None:
												for op, want_ver in wanted.items():
																		_compare_versions(_UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase		)



def       lowercase			(_lowerCAmelCase		):
						__lowerCAmelCase   					=   '''Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'''
						return require_version(_UpperCamelCase      ,  _UpperCamelCase		)







import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


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

	lowerCAmelCase_    =				parser.parse_args()

	lowerCAmelCase_    =				UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

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

	lowerCAmelCase_    =				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)
