






import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
a_							=    '''src/diffusers'''

# Matches is_xxx_available()
a_							=    re.compile(r'''is\_([a-z_]*)_available\(\)''')
# Matches from xxx import bla
a_							=    re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')


a_							=    '''\n{0} = None\n'''

a_							=    '''\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n'''


a_							=    '''\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'''


def        _a  (     UpperCamelCase_					:				str   ) ->   List[str]:
						"""simple docstring"""







						lowerCAmelCase__       =						_re_backend.findall(__snake_case   )
						if len(__snake_case   ) == 0:
												return None

						return "_and_".join(__snake_case   )


def        _a  (     ) ->   List[Any]:
						"""simple docstring"""







						with open(os.path.join(__snake_case    ,   "__init__.py"   )    ,   "r"    ,   encoding="utf-8"    ,   newline="\n"   ) as f:
												lowerCAmelCase__       =						f.readlines()

						# Get to the point we do the actual imports for type checking
						lowerCAmelCase__       =						0
						lowerCAmelCase__       =						{}
						# Go through the end of the file
						while line_index < len(__snake_case   ):
												# If the line contains is_backend_available, we grab all objects associated with the `else` block
												lowerCAmelCase__       =						find_backend(lines[line_index]   )
												if backend is not None:
																		while not lines[line_index].startswith("else:"   ):
																								line_index += 1
																		line_index += 1
																		lowerCAmelCase__       =						[]
																		# Until we unindent, add backend objects to the list
																		while line_index < len(__snake_case   ) and len(lines[line_index]   ) > 1:
																								lowerCAmelCase__       =						lines[line_index]
																								lowerCAmelCase__       =						_re_single_line_import.search(__snake_case   )
																								if single_line_import_search is not None:
																														objects.extend(single_line_import_search.groups()[0].split(", "   )   )
																								elif line.startswith(" " * 8   ):
																														objects.append(line[8:-2]   )
																								line_index += 1

																		if len(__snake_case   ) > 0:
																								lowerCAmelCase__       =						objects
												else:
																		line_index += 1

						return backend_specific_objects


def        _a  (     UpperCamelCase_					:				Tuple    ,   UpperCamelCase_					:				List[str]   ) ->   List[str]:
						"""simple docstring"""







						if name.isupper():
												return DUMMY_CONSTANT.format(__snake_case   )
						elif name.islower():
												return DUMMY_FUNCTION.format(__snake_case    ,   __snake_case   )
						else:
												return DUMMY_CLASS.format(__snake_case    ,   __snake_case   )


def        _a  (     UpperCamelCase_					:				Optional[Any]=None   ) ->   Any:
						"""simple docstring"""







						if backend_specific_objects is None:
												lowerCAmelCase__       =						read_init()
						# For special correspondence backend to module name as used in the function requires_modulename
						lowerCAmelCase__       =						{}

						for backend, objects in backend_specific_objects.items():
												lowerCAmelCase__       =						"[" + ", ".join(F"\"{b}\"" for b in backend.split("_and_"   )   ) + "]"
												lowerCAmelCase__       =						"# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
												dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
												dummy_file += "\n".join([create_dummy_object(__snake_case    ,   __snake_case   ) for o in objects]   )
												lowerCAmelCase__       =						dummy_file

						return dummy_files


def        _a  (     UpperCamelCase_					:				Optional[int]=False   ) ->   str:
						"""simple docstring"""







						lowerCAmelCase__       =						create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						lowerCAmelCase__       =						{"torch": "pt"}

						# Locate actual dummy modules and read their content.
						lowerCAmelCase__       =						os.path.join(__snake_case    ,   "utils"   )
						lowerCAmelCase__       =						{
						    backend: os.path.join(__snake_case    ,   F"dummy_{short_names.get(__snake_case    ,   __snake_case   )}_objects.py"   )
						    for backend in dummy_files.keys()
						}

						lowerCAmelCase__       =						{}
						for backend, file_path in dummy_file_paths.items():
												if os.path.isfile(__snake_case   ):
																		with open(__snake_case    ,   "r"    ,   encoding="utf-8"    ,   newline="\n"   ) as f:
																								lowerCAmelCase__       =						f.read()
												else:
																		lowerCAmelCase__       =						""

						for backend in dummy_files.keys():
												if dummy_files[backend] != actual_dummies[backend]:
																		if overwrite:
																								print(
																								    F"Updating diffusers.utils.dummy_{short_names.get(__snake_case    ,   __snake_case   )}_objects.py as the main "
																								    "__init__ has new objects."   )
																								with open(dummy_file_paths[backend]    ,   "w"    ,   encoding="utf-8"    ,   newline="\n"   ) as f:
																														f.write(dummy_files[backend]   )
																		else:
																								raise ValueError(
																								    "The main __init__ has objects that are not present in "
																								    F"diffusers.utils.dummy_{short_names.get(__snake_case    ,   __snake_case   )}_objects.py. Run `make fix-copies` "
																								    "to fix this."   )


if __name__ == "__main__":
					a_							=    argparse.ArgumentParser()
					parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
					a_							=    parser.parse_args()

					check_dummies(args.fix_and_overwrite)














import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
	a_							=    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_							=    parser.parse_args()

	a_							=    UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

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

	a_							=    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)






