

"""simple docstring"""


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


a       :int     =			"src/transformers"


# Matches is_xxx_available()
a       :Optional[Any]     =			re.compile(r"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
a       :str     =			re.compile(r"^_import_structure\s+=\s+\{([^\}]+)\}")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
a       :List[Any]     =			re.compile(r"\s+\"\S*\":\s+\[([^\]]*)\]")
# Catches a line if not is_foo_available
a       :str     =			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       :str     =			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       :Dict     =			re.compile("^\s+\[([^\]]+)\]")
# Catches a line with from foo import bar, bla, boo
a       :int     =			re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
# Catches a line with try:
a       :Any     =			re.compile(r"^\s*try:")
# Catches a line with else:
a       :str     =			re.compile(r"^\s*else:")




def 			_lowercase       (     __lowerCAmelCase				)							->					int:
      if _re_test_backend.search(_snake_case				) is None:
            return None
      SCREAMING_SNAKE_CASE__ :   Union[str, Any]   		=						[b[0] for b in _re_backend.findall(_snake_case				)]
      backends.sort()
      return "_and_".join(_snake_case				)




def 			_lowercase       (     __lowerCAmelCase				)							->					Any:
      with open(_snake_case	,       """r"""	,       encoding="""utf-8"""	,       newline="""\n"""				) as f:
            SCREAMING_SNAKE_CASE__ :   List[Any]   		=						f.readlines()

      SCREAMING_SNAKE_CASE__ :   Union[str, Any]   		=						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
      SCREAMING_SNAKE_CASE__ :   str   		=						[]
      while not lines[line_index].startswith("""if TYPE_CHECKING"""				) and find_backend(lines[line_index]				) is None:
            SCREAMING_SNAKE_CASE__ :   Tuple   		=						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				):
                  SCREAMING_SNAKE_CASE__ :   Optional[int]   		=						_re_one_line_import_struct.search(_snake_case				).groups()[0]
                  SCREAMING_SNAKE_CASE__ :   str   		=						re.findall("""\[([^\]]+)\]"""	,       _snake_case				)
                  for imp in imports:
                        objects.extend([obj[1:-1] for obj in imp.split(""", """				)]				)
                  line_index += 1
                  continue
            SCREAMING_SNAKE_CASE__ :   List[str]   		=						_re_import_struct_key_value.search(_snake_case				)
            if single_line_import_search is not None:
                  SCREAMING_SNAKE_CASE__ :   Tuple   		=						[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

      SCREAMING_SNAKE_CASE__ :   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.
            SCREAMING_SNAKE_CASE__ :   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:
                  SCREAMING_SNAKE_CASE__ :   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

                  SCREAMING_SNAKE_CASE__ :   Tuple   		=						[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]				) <= 1 or lines[line_index].startswith(""" """ * 4				):
                        SCREAMING_SNAKE_CASE__ :   List[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:
                              SCREAMING_SNAKE_CASE__ :   Optional[int]   		=						_re_import_struct_add_many.search(_snake_case				).groups()[0].split(""", """				)
                              SCREAMING_SNAKE_CASE__ :   Tuple   		=						[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:
                              SCREAMING_SNAKE_CASE__ :   Optional[Any]   		=						_re_between_brackets.search(_snake_case				).groups()[0].split(""", """				)
                              SCREAMING_SNAKE_CASE__ :   List[str]   		=						[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

                  SCREAMING_SNAKE_CASE__ :   int   		=						objects
            else:
                  line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
      SCREAMING_SNAKE_CASE__ :   Tuple   		=						[]
      while (
          line_index < len(_snake_case				)
          and find_backend(lines[line_index]				) is None
          and not lines[line_index].startswith("""else"""				)
      ):
            SCREAMING_SNAKE_CASE__ :   str   		=						lines[line_index]
            SCREAMING_SNAKE_CASE__ :   Optional[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(""" """ * 8				):
                  objects.append(line[8:-2]				)
            line_index += 1

      SCREAMING_SNAKE_CASE__ :   List[Any]   		=						{'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.
            SCREAMING_SNAKE_CASE__ :   List[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:
                  SCREAMING_SNAKE_CASE__ :   List[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

                  SCREAMING_SNAKE_CASE__ :   Any   		=						[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]				) <= 1 or lines[line_index].startswith(""" """ * 8				):
                        SCREAMING_SNAKE_CASE__ :   List[Any]   		=						lines[line_index]
                        SCREAMING_SNAKE_CASE__ :   Tuple   		=						_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

                  SCREAMING_SNAKE_CASE__ :   int   		=						objects
            else:
                  line_index += 1

      return import_dict_objects, type_hint_objects




def 			_lowercase       (     __lowerCAmelCase	,       __lowerCAmelCase				)							->					int:

      def find_duplicates(__lowerCAmelCase				):
            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!"]

      SCREAMING_SNAKE_CASE__ :   int   		=						[]
      for key in import_dict_objects.keys():
            SCREAMING_SNAKE_CASE__ :   Tuple   		=						find_duplicates(import_dict_objects[key]				)
            if duplicate_imports:
                  errors.append(F'''Duplicate _import_structure definitions for: {duplicate_imports}'''				)
            SCREAMING_SNAKE_CASE__ :   Optional[int]   		=						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]				)				):
                  SCREAMING_SNAKE_CASE__ :   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 			_lowercase       (     )							->					Dict:
      SCREAMING_SNAKE_CASE__ :   Optional[Any]   		=						[]
      for root, _, files in os.walk(_snake_case				):
            if "__init__.py" in files:
                  SCREAMING_SNAKE_CASE__ :   List[Any]   		=						os.path.join(_snake_case	,       """__init__.py"""				)
                  SCREAMING_SNAKE_CASE__ :   Tuple   		=						parse_init(_snake_case				)
                  if objects is not None:
                        SCREAMING_SNAKE_CASE__ :   Any   		=						analyze_results(*_snake_case				)
                        if len(_snake_case				) > 0:
                              SCREAMING_SNAKE_CASE__ :   Optional[int]   		=						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 			_lowercase       (     )							->					Optional[Any]:
      SCREAMING_SNAKE_CASE__ :   Union[str, Any]   		=						[]
      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
                  SCREAMING_SNAKE_CASE__ :   str   		=						str((Path(_snake_case				) / folder).relative_to(_snake_case				)				)
                  SCREAMING_SNAKE_CASE__ :   Dict   		=						short_path.replace(os.path.sep	,       """."""				)
                  submodules.append(_snake_case				)
            for fname in files:
                  if fname == "__init__.py":
                        continue
                  SCREAMING_SNAKE_CASE__ :   List[Any]   		=						str((Path(_snake_case				) / fname).relative_to(_snake_case				)				)
                  SCREAMING_SNAKE_CASE__ :   Union[str, Any]   		=						short_path.replace(""".py"""	,       """"""				).replace(os.path.sep	,       """."""				)
                  if len(submodule.split("""."""				)				) == 1:
                        submodules.append(_snake_case				)
      return submodules


a       :List[str]     =			[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]




def 			_lowercase       (     )							->					str:
      # This is to make sure the transformers module imported is the one in the repo.
      SCREAMING_SNAKE_CASE__ :   Tuple   		=						importlib.util.spec_from_file_location(
          """transformers"""	,       os.path.join(_snake_case	,       """__init__.py"""				)	,       submodule_search_locations=[PATH_TO_TRANSFORMERS]	,       )
      SCREAMING_SNAKE_CASE__ :   int   		=						spec.loader.load_module()

      SCREAMING_SNAKE_CASE__ :   Tuple   		=						[
          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:
            SCREAMING_SNAKE_CASE__ :   List[Any]   		=						'\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()






"""simple docstring"""



import torch

from diffusers import StableDiffusionPipeline


UpperCamelCase__          =	'path-to-your-trained-model'
UpperCamelCase__          =	StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to('cuda')

UpperCamelCase__          =	'A photo of sks dog in a bucket'
UpperCamelCase__          =	pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save('dog-bucket.png')

