



"""simple docstring"""
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:   Dict								=		"src/diffusers"

# Matches is_xxx_available()
A:   List[str]								=		re.compile(R"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
A:   List[Any]								=		re.compile(R"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


A:   int								=		"\n{0} = None\n"

A:   Optional[int]								=		"\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:   List[Any]								=		"\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"

def       _snake_case						(						UpperCamelCase						:		Dict						):
 UpperCAmelCase	:					str	=	_re_backend.findall(UpperCamelCase						)
 if len(UpperCamelCase						) == 0:
  return None

 return "_and_".join(UpperCamelCase						)

def       _snake_case						(						):
 with open(os.path.join(UpperCamelCase			,		"""__init__.py"""						)			,		"""r"""			,		encoding="""utf-8"""			,		newline="""\n"""						) as f:
  UpperCAmelCase	:					int	=	f.readlines()

 # Get to the point we do the actual imports for type checking
 UpperCAmelCase	:					Union[str, Any]	=	0
 UpperCAmelCase	:					List[Any]	=	{}
 # Go through the end of the file
 while line_index < len(UpperCamelCase						):
  # If the line contains is_backend_available, we grab all objects associated with the `else` block
  UpperCAmelCase	:					Tuple	=	find_backend(lines[line_index]						)
  if backend is not None:
   while not lines[line_index].startswith("""else:"""						):
    line_index += 1
   line_index += 1
   UpperCAmelCase	:					str	=	[]
   # Until we unindent, add backend objects to the list
   while line_index < len(UpperCamelCase						) and len(lines[line_index]						) > 1:
    UpperCAmelCase	:					Any	=	lines[line_index]
    UpperCAmelCase	:					Tuple	=	_re_single_line_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

   if len(UpperCamelCase						) > 0:
    UpperCAmelCase	:					Union[str, Any]	=	objects
  else:
   line_index += 1

 return backend_specific_objects

def       _snake_case						(						UpperCamelCase						:		str			,		UpperCamelCase						:		List[str]						):
 if name.isupper():
  return DUMMY_CONSTANT.format(UpperCamelCase						)
 elif name.islower():
  return DUMMY_FUNCTION.format(UpperCamelCase			,		UpperCamelCase						)
 else:
  return DUMMY_CLASS.format(UpperCamelCase			,		UpperCamelCase						)

def       _snake_case						(						UpperCamelCase						:		Union[str, Any]=None						):
 if backend_specific_objects is None:
  UpperCAmelCase	:					List[str]	=	read_init()
 # For special correspondence backend to module name as used in the function requires_modulename
 UpperCAmelCase	:					List[Any]	=	{}

 for backend, objects in backend_specific_objects.items():
  UpperCAmelCase	:					List[str]	=	"""[""" + """, """.join(F"\"{b}\"" for b in backend.split("""_and_"""						)						) + """]"""
  UpperCAmelCase	:					str	=	"""# 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(UpperCamelCase			,		UpperCamelCase						) for o in objects]						)
  UpperCAmelCase	:					List[str]	=	dummy_file

 return dummy_files

def       _snake_case						(						UpperCamelCase						:		Any=False						):
 UpperCAmelCase	:					Optional[int]	=	create_dummy_files()
 # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
 UpperCAmelCase	:					List[Any]	=	{"""torch""": """pt"""}

 # Locate actual dummy modules and read their content.
 UpperCAmelCase	:					Any	=	os.path.join(UpperCamelCase			,		"""utils"""						)
 UpperCAmelCase	:					List[str]	=	{
     backend: os.path.join(UpperCamelCase			,		F"dummy_{short_names.get(UpperCamelCase			,		UpperCamelCase						)}_objects.py"						)
     for backend in dummy_files.keys()
 }

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

 for backend in dummy_files.keys():
  if dummy_files[backend] != actual_dummies[backend]:
   if overwrite:
    print(
        F"Updating diffusers.utils.dummy_{short_names.get(UpperCamelCase			,		UpperCamelCase						)}_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(UpperCamelCase			,		UpperCamelCase						)}_objects.py. Run `make fix-copies` "
        """to fix this."""						)


if __name__ == "__main__":
      A:   List[str]								=		argparse.ArgumentParser()
      parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
      A:   Tuple								=		parser.parse_args()

      check_dummies(args.fix_and_overwrite)





"""simple docstring"""
from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


A:   List[str]								=		{"configuration_dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"]}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   Tuple								=		["DPTFeatureExtractor"]
      A:   int								=		["DPTImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   Optional[Any]								=		[
          "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "DPTForDepthEstimation",
          "DPTForSemanticSegmentation",
          "DPTModel",
          "DPTPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_dpt import DPTFeatureExtractor
            from .image_processing_dpt import DPTImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_dpt import (
                DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DPTForDepthEstimation,
                DPTForSemanticSegmentation,
                DPTModel,
                DPTPreTrainedModel,
            )


else:
      import sys

      A:   str								=		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
