






'''simple docstring'''

import collections
import os
import re
from pathlib import Path


__a											=     'src/transformers'


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







def 					lowercase__				(   __UpperCamelCase					)->				Union[str, Any]:
      if _re_test_backend.search(__UpperCamelCase					) is None:
            return None
      UpperCamelCase       						=      [b[0] for b in _re_backend.findall(__UpperCamelCase					)]
      backends.sort()
      return "_and_".join(__UpperCamelCase					)







def 					lowercase__				(   __UpperCamelCase					)->				List[str]:
      with open(__UpperCamelCase	,		"""r"""	,		encoding="""utf-8"""	,		newline="""\n"""					) as f:
            UpperCamelCase       						=      f.readlines()

      UpperCamelCase       						=      0
      while line_index < len(__UpperCamelCase					) and not lines[line_index].startswith("""_import_structure = {"""					):
            line_index += 1

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

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

      UpperCamelCase       						=      {"""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.
            UpperCamelCase       						=      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:
                  UpperCamelCase       						=      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

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

                  UpperCamelCase       						=      objects
            else:
                  line_index += 1

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

      UpperCamelCase       						=      {"""none""": objects}
      # Let's continue with backend-specific objects
      while line_index < len(__UpperCamelCase					):
            # If the line is an if is_backend_available, we grab all objects associated.
            UpperCamelCase       						=      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:
                  UpperCamelCase       						=      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

                  UpperCamelCase       						=      []
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]					) <= 1 or lines[line_index].startswith(""" """ * 8					):
                        UpperCamelCase       						=      lines[line_index]
                        UpperCamelCase       						=      _re_import.search(__UpperCamelCase					)
                        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

                  UpperCamelCase       						=      objects
            else:
                  line_index += 1

      return import_dict_objects, type_hint_objects







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase					)->				List[str]:

      def find_duplicates(__UpperCamelCase					):
            return [k for k, v in collections.Counter(__UpperCamelCase					).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!"]

      UpperCamelCase       						=      []
      for key in import_dict_objects.keys():
            UpperCamelCase       						=      find_duplicates(import_dict_objects[key]					)
            if duplicate_imports:
                  errors.append(F"Duplicate _import_structure definitions for: {duplicate_imports}"					)
            UpperCamelCase       						=      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]					)					):
                  UpperCamelCase       						=      """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 					lowercase__				(   )->				Optional[int]:
      UpperCamelCase       						=      []
      for root, _, files in os.walk(__UpperCamelCase					):
            if "__init__.py" in files:
                  UpperCamelCase       						=      os.path.join(__UpperCamelCase	,		"""__init__.py"""					)
                  UpperCamelCase       						=      parse_init(__UpperCamelCase					)
                  if objects is not None:
                        UpperCamelCase       						=      analyze_results(*__UpperCamelCase					)
                        if len(__UpperCamelCase					) > 0:
                              UpperCamelCase       						=      F"Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"
                              failures.append("""\n""".join(__UpperCamelCase					)					)
      if len(__UpperCamelCase					) > 0:
            raise ValueError("""\n\n""".join(__UpperCamelCase					)					)







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


__a											=     [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]







def 					lowercase__				(   )->				int:
      # This is to make sure the transformers module imported is the one in the repo.
      from transformers.utils import direct_transformers_import

      UpperCamelCase       						=      direct_transformers_import(__UpperCamelCase					)

      UpperCamelCase       						=      set(transformers._import_structure.keys()					)
      # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
      # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
      # (potentiall re-) add them.
      with open(os.path.join(__UpperCamelCase	,		"""__init__.py"""					)	,		"""r"""					) as f:
            UpperCamelCase       						=      f.read()
      import_structure_keys.update(set(re.findall(R"""import_structure\[\"([^\"]*)\"\]"""	,		__UpperCamelCase					)					)					)

      UpperCamelCase       						=      [
          module
          for module in get_transformers_submodules()
          if module not in IGNORE_SUBMODULES and module not in import_structure_keys
      ]

      if len(__UpperCamelCase					) > 0:
            UpperCamelCase       						=      """\n""".join(F"- {module}" for module in module_not_registered					)
            raise ValueError(
                """The following submodules are not properly registed 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()








'''simple docstring'''

import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


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

     SCREAMING_SNAKE_CASE__											=     parser.parse_args()

     SCREAMING_SNAKE_CASE__											=     UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

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

     SCREAMING_SNAKE_CASE__											=     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)
