


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
UpperCAmelCase   :    Dict     =		"src/diffusers"

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


UpperCAmelCase   :    List[Any]     =		"\n{0} = None\n"

UpperCAmelCase   :    List[Any]     =		"\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"


UpperCAmelCase   :    str     =		"\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[Any]      ):





			'''simple docstring'''




			lowerCamelCase    		=  _re_backend.findall(lowerCamelCase__      )
			if len(lowerCamelCase__      ) == 0:
						return None

			return "_and_".join(lowerCamelCase__      )






def 	__lowerCamelCase						(							):





			'''simple docstring'''




			with open(os.path.join(lowerCamelCase__  ,							"""__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(lowerCamelCase__      ):
						# 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(lowerCamelCase__      ) and len(lines[line_index]      ) > 1:
												lowerCamelCase    		=  lines[line_index]
												lowerCamelCase    		=  _re_single_line_import.search(lowerCamelCase__      )
												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(lowerCamelCase__      ) > 0:
												lowerCamelCase    		=  objects
						else:
									line_index += 1

			return backend_specific_objects






def 	__lowerCamelCase						(							lowerCamelCase__		:						Dict  ,							lowerCamelCase__		:						List[str]      ):





			'''simple docstring'''




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






def 	__lowerCamelCase						(							lowerCamelCase__		:						Optional[Any]=None      ):





			'''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(lowerCamelCase__  ,							lowerCamelCase__      ) for o in objects]      )
						lowerCamelCase    		=  dummy_file

			return dummy_files






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[str]=False      ):





			'''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(lowerCamelCase__  ,							"""utils"""      )
			lowerCamelCase    		=  {
			    backend: os.path.join(lowerCamelCase__  ,							f'dummy_{short_names.get(lowerCamelCase__  ,							lowerCamelCase__      )}_objects.py'      )
			    for backend in dummy_files.keys()
			}

			lowerCamelCase    		=  {}
			for backend, file_path in dummy_file_paths.items():
						if os.path.isfile(lowerCamelCase__      ):
									with open(lowerCamelCase__  ,							"""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(lowerCamelCase__  ,							lowerCamelCase__      )}_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(lowerCamelCase__  ,							lowerCamelCase__      )}_objects.py. Run `make fix-copies` '
												    """to fix this."""      )


if __name__ == "__main__":
		UpperCAmelCase   :    Optional[int]     =		argparse.ArgumentParser()
		parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
		UpperCAmelCase   :    List[Any]     =		parser.parse_args()

		check_dummies(args.fix_and_overwrite)





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase   :    Tuple     =		{
    "configuration_blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallOnnxConfig",
    ],
    "tokenization_blenderbot_small": ["BlenderbotSmallTokenizer"],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase   :    List[Any]     =		["BlenderbotSmallTokenizerFast"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase   :    List[str]     =		[
		    "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "BlenderbotSmallForCausalLM",
		    "BlenderbotSmallForConditionalGeneration",
		    "BlenderbotSmallModel",
		    "BlenderbotSmallPreTrainedModel",
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase   :    Any     =		[
		    "TFBlenderbotSmallForConditionalGeneration",
		    "TFBlenderbotSmallModel",
		    "TFBlenderbotSmallPreTrainedModel",
		]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase   :    List[Any]     =		[
		    "FlaxBlenderbotSmallForConditionalGeneration",
		    "FlaxBlenderbotSmallModel",
		    "FlaxBlenderbotSmallPreTrainedModel",
		]

if TYPE_CHECKING:
		from .configuration_blenderbot_small import (
		    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BlenderbotSmallConfig,
		    BlenderbotSmallOnnxConfig,
		)
		from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blenderbot_small import (
				    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlenderbotSmallForCausalLM,
				    BlenderbotSmallForConditionalGeneration,
				    BlenderbotSmallModel,
				    BlenderbotSmallPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blenderbot_small import (
				    TFBlenderbotSmallForConditionalGeneration,
				    TFBlenderbotSmallModel,
				    TFBlenderbotSmallPreTrainedModel,
				)

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_blenderbot_small import (
				    FlaxBlenderbotSmallForConditionalGeneration,
				    FlaxBlenderbotSmallModel,
				    FlaxBlenderbotSmallPreTrainedModel,
				)

else:
		import sys

		UpperCAmelCase   :    List[Any]     =		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

