


import collections
import importlib.util
import os
import re
from pathlib import Path


_A		:				Optional[Any]									=       '''src/transformers'''


# Matches is_xxx_available()
_A		:				str									=       re.compile(r'''is\_([a-z_]*)_available()''')
# Catches a one-line _import_struct = {xxx}
_A		:				Optional[Any]									=       re.compile(r'''^_import_structure\s+=\s+\{([^\}]+)\}''')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
_A		:				str									=       re.compile(r'''\s+"\S*":\s+\[([^\]]*)\]''')
# Catches a line if not is_foo_available
_A		:				int									=       re.compile(r'''^\s*if\s+not\s+is\_[a-z_]*\_available\(\)''')
# Catches a line _import_struct["bla"].append("foo")
_A		:				List[Any]									=       re.compile(r'''^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)''')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
_A		:				int									=       re.compile(r'''^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]''')
# Catches a line with an object between quotes and a comma:     "MyModel",
_A		:				Optional[Any]									=       re.compile('''^\s+"([^"]+)",''')
# Catches a line with objects between brackets only:    ["foo", "bar"],
_A		:				Optional[int]									=       re.compile('''^\s+\[([^\]]+)\]''')
# Catches a line with from foo import bar, bla, boo
_A		:				Optional[int]									=       re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
# Catches a line with try:
_A		:				Optional[Any]									=       re.compile(r'''^\s*try:''')
# Catches a line with else:
_A		:				Union[str, Any]									=       re.compile(r'''^\s*else:''')



def     __lowerCAmelCase						(							snake_case	:    int )       ->							Optional[int]:
			if _re_test_backend.search(snake_case ) is None:
						return None
			__lowerCamelCase:				Tuple     =	[b[0] for b in _re_backend.findall(snake_case )]
			backends.sort()
			return "_and_".join(snake_case )



def     __lowerCAmelCase						(							snake_case	:    Tuple )       ->							List[str]:
			with open(snake_case						,      """r"""						,      encoding="""utf-8"""						,      newline="""\n""" ) as f:
						__lowerCamelCase:				Any     =	f.readlines()

			__lowerCamelCase:				Optional[int]     =	0
			while line_index < len(snake_case ) and not lines[line_index].startswith("""_import_structure = {""" ):
						line_index += 1

			# If this is a traditional init, just return.
			if line_index >= len(snake_case ):
						return None

			# First grab the objects without a specific backend in _import_structure
			__lowerCamelCase:				Tuple     =	[]
			while not lines[line_index].startswith("""if TYPE_CHECKING""" ) and find_backend(lines[line_index] ) is None:
						__lowerCamelCase:				List[str]     =	lines[line_index]
						# If we have everything on a single line, let's deal with it.
						if _re_one_line_import_struct.search(snake_case ):
									__lowerCamelCase:				Optional[int]     =	_re_one_line_import_struct.search(snake_case ).groups()[0]
									__lowerCamelCase:				Optional[int]     =	re.findall("""\[([^\]]+)\]"""						,      snake_case )
									for imp in imports:
												objects.extend([obj[1:-1] for obj in imp.split(""", """ )] )
									line_index += 1
									continue
						__lowerCamelCase:				Dict     =	_re_import_struct_key_value.search(snake_case )
						if single_line_import_search is not None:
									__lowerCamelCase:				str     =	[obj[1:-1] for obj in single_line_import_search.groups()[0].split(""", """ ) if len(snake_case ) > 0]
									objects.extend(snake_case )
						elif line.startswith(""" """ * 8 + """\"""" ):
									objects.append(line[9:-3] )
						line_index += 1

			__lowerCamelCase:				Union[str, Any]     =	{"""none""": objects}
			# Let's continue with backend-specific objects in _import_structure
			while not lines[line_index].startswith("""if TYPE_CHECKING""" ):
						# If the line is an if not is_backend_available, we grab all objects associated.
						__lowerCamelCase:				Optional[int]     =	find_backend(lines[line_index] )
						# Check if the backend declaration is inside a try block:
						if _re_try.search(lines[line_index - 1] ) is None:
									__lowerCamelCase:				Union[str, Any]     =	None

						if backend is not None:
									line_index += 1

									# Scroll until we hit the else block of try-except-else
									while _re_else.search(lines[line_index] ) is None:
												line_index += 1

									line_index += 1

									__lowerCamelCase:				Union[str, Any]     =	[]
									# Until we unindent, add backend objects to the list
									while len(lines[line_index] ) <= 1 or lines[line_index].startswith(""" """ * 4 ):
												__lowerCamelCase:				Optional[Any]     =	lines[line_index]
												if _re_import_struct_add_one.search(snake_case ) is not None:
															objects.append(_re_import_struct_add_one.search(snake_case ).groups()[0] )
												elif _re_import_struct_add_many.search(snake_case ) is not None:
															__lowerCamelCase:				int     =	_re_import_struct_add_many.search(snake_case ).groups()[0].split(""", """ )
															__lowerCamelCase:				str     =	[obj[1:-1] for obj in imports if len(snake_case ) > 0]
															objects.extend(snake_case )
												elif _re_between_brackets.search(snake_case ) is not None:
															__lowerCamelCase:				str     =	_re_between_brackets.search(snake_case ).groups()[0].split(""", """ )
															__lowerCamelCase:				Optional[int]     =	[obj[1:-1] for obj in imports if len(snake_case ) > 0]
															objects.extend(snake_case )
												elif _re_quote_object.search(snake_case ) is not None:
															objects.append(_re_quote_object.search(snake_case ).groups()[0] )
												elif line.startswith(""" """ * 8 + """\"""" ):
															objects.append(line[9:-3] )
												elif line.startswith(""" """ * 12 + """\"""" ):
															objects.append(line[13:-3] )
												line_index += 1

									__lowerCamelCase:				List[Any]     =	objects
						else:
									line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
			__lowerCamelCase:				Any     =	[]
			while (
			    line_index < len(snake_case )
			    and find_backend(lines[line_index] ) is None
			    and not lines[line_index].startswith("""else""" )
			):
						__lowerCamelCase:				str     =	lines[line_index]
						__lowerCamelCase:				str     =	_re_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

			__lowerCamelCase:				List[str]     =	{"""none""": objects}
			# Let's continue with backend-specific objects
			while line_index < len(snake_case ):
						# If the line is an if is_backend_available, we grab all objects associated.
						__lowerCamelCase:				str     =	find_backend(lines[line_index] )
						# Check if the backend declaration is inside a try block:
						if _re_try.search(lines[line_index - 1] ) is None:
									__lowerCamelCase:				Optional[Any]     =	None

						if backend is not None:
									line_index += 1

									# Scroll until we hit the else block of try-except-else
									while _re_else.search(lines[line_index] ) is None:
												line_index += 1

									line_index += 1

									__lowerCamelCase:				Union[str, Any]     =	[]
									# Until we unindent, add backend objects to the list
									while len(lines[line_index] ) <= 1 or lines[line_index].startswith(""" """ * 8 ):
												__lowerCamelCase:				Tuple     =	lines[line_index]
												__lowerCamelCase:				List[Any]     =	_re_import.search(snake_case )
												if single_line_import_search is not None:
															objects.extend(single_line_import_search.groups()[0].split(""", """ ) )
												elif line.startswith(""" """ * 12 ):
															objects.append(line[12:-2] )
												line_index += 1

									__lowerCamelCase:				Union[str, Any]     =	objects
						else:
									line_index += 1

			return import_dict_objects, type_hint_objects



def     __lowerCAmelCase						(							snake_case	:    int						,      snake_case	:    Tuple )       ->							Any:

			def find_duplicates(snake_case	:    Any ):
						return [k for k, v in collections.Counter(snake_case ).items() if v > 1]

			if list(import_dict_objects.keys() ) != list(type_hint_objects.keys() ):
						return ["Both sides of the init do not have the same backends!"]

			__lowerCamelCase:				List[Any]     =	[]
			for key in import_dict_objects.keys():
						__lowerCamelCase:				List[Any]     =	find_duplicates(import_dict_objects[key] )
						if duplicate_imports:
									errors.append(f'Duplicate _import_structure definitions for: {duplicate_imports}' )
						__lowerCamelCase:				List[str]     =	find_duplicates(type_hint_objects[key] )
						if duplicate_type_hints:
									errors.append(f'Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}' )

						if sorted(set(import_dict_objects[key] ) ) != sorted(set(type_hint_objects[key] ) ):
									__lowerCamelCase:				Optional[Any]     =	"""base imports""" if key == """none""" else f'{key} backend'
									errors.append(f'Differences for {name}:' )
									for a in type_hint_objects[key]:
												if a not in import_dict_objects[key]:
															errors.append(f'  {a} in TYPE_HINT but not in _import_structure.' )
									for a in import_dict_objects[key]:
												if a not in type_hint_objects[key]:
															errors.append(f'  {a} in _import_structure but not in TYPE_HINT.' )
			return errors



def     __lowerCAmelCase						(							)       ->							Dict:
			__lowerCamelCase:				Union[str, Any]     =	[]
			for root, _, files in os.walk(snake_case ):
						if "__init__.py" in files:
									__lowerCamelCase:				Tuple     =	os.path.join(snake_case						,      """__init__.py""" )
									__lowerCamelCase:				str     =	parse_init(snake_case )
									if objects is not None:
												__lowerCamelCase:				Union[str, Any]     =	analyze_results(*snake_case )
												if len(snake_case ) > 0:
															__lowerCamelCase:				List[str]     =	f'Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'
															failures.append("""\n""".join(snake_case ) )
			if len(snake_case ) > 0:
						raise ValueError("""\n\n""".join(snake_case ) )



def     __lowerCAmelCase						(							)       ->							Optional[int]:
			__lowerCamelCase:				int     =	[]
			for path, directories, files in os.walk(snake_case ):
						for folder in directories:
									# Ignore private modules
									if folder.startswith("""_""" ):
												directories.remove(snake_case )
												continue
									# Ignore leftovers from branches (empty folders apart from pycache)
									if len(list((Path(snake_case ) / folder).glob("""*.py""" ) ) ) == 0:
												continue
									__lowerCamelCase:				int     =	str((Path(snake_case ) / folder).relative_to(snake_case ) )
									__lowerCamelCase:				Tuple     =	short_path.replace(os.path.sep						,      """.""" )
									submodules.append(snake_case )
						for fname in files:
									if fname == "__init__.py":
												continue
									__lowerCamelCase:				List[Any]     =	str((Path(snake_case ) / fname).relative_to(snake_case ) )
									__lowerCamelCase:				int     =	short_path.replace(""".py"""						,      """""" ).replace(os.path.sep						,      """.""" )
									if len(submodule.split(""".""" ) ) == 1:
												submodules.append(snake_case )
			return submodules


_A		:				Dict									=       [
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
]



def     __lowerCAmelCase						(							)       ->							List[str]:
			# This is to make sure the transformers module imported is the one in the repo.
			__lowerCamelCase:				Dict     =	importlib.util.spec_from_file_location(
			    """transformers"""						,      os.path.join(snake_case						,      """__init__.py""" )						,      submodule_search_locations=[PATH_TO_TRANSFORMERS]						,      )
			__lowerCamelCase:				Union[str, Any]     =	spec.loader.load_module()

			__lowerCamelCase:				str     =	[
			    module
			    for module in get_transformers_submodules()
			    if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
			]
			if len(snake_case ) > 0:
						__lowerCamelCase:				Optional[int]     =	"""\n""".join(f'- {module}' for module in module_not_registered )
						raise ValueError(
						    """The following submodules are not properly registered in the main init of Transformers:\n"""
						    f'{list_of_modules}\n'
						    """Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.""" )


if __name__ == "__main__":
			check_all_inits()
			check_submodules()






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)


