


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  :     Any    					=    """src/diffusers"""

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


A  :     Union[str, Any]    					=    """
{0} = None
"""

A  :     Union[str, Any]    					=    """
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


A  :     Tuple    					=    """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""


def _lowerCamelCase			(	_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    _re_backend.findall(_UpperCamelCase   )
			if len(_UpperCamelCase   ) == 0:
						return None

			return "_and_".join(_UpperCamelCase   )


def _lowerCamelCase			(	):

			'''simple docstring'''




			with open(os.path.join(_UpperCamelCase					,				"__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(_UpperCamelCase   ):
						# 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(_UpperCamelCase   ) and len(lines[line_index]   ) > 1:
												__lowerCAmelCase       					=    lines[line_index]
												__lowerCAmelCase       					=    _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:
												__lowerCAmelCase       					=    objects
						else:
									line_index += 1

			return backend_specific_objects


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




			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 _lowerCamelCase			(	_UpperCamelCase=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(_UpperCamelCase					,				_UpperCamelCase   ) for o in objects]   )
						__lowerCAmelCase       					=    dummy_file

			return dummy_files


def _lowerCamelCase			(	_UpperCamelCase=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(_UpperCamelCase					,				"utils"   )
			__lowerCAmelCase       					=    {
			    backend: os.path.join(_UpperCamelCase					,				f"dummy_{short_names.get(_UpperCamelCase					,				_UpperCamelCase   )}_objects.py"   )
			    for backend in dummy_files.keys()
			}

			__lowerCAmelCase       					=    {}
			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:
												__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(_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  :     Union[str, Any]    					=    argparse.ArgumentParser()
	parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
	A  :     Optional[int]    					=    parser.parse_args()

	check_dummies(args.fix_and_overwrite)








"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


A  :     Optional[int]    					=    logging.get_logger(__name__)

A  :     List[str]    					=    {
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}
class 						_UpperCamelCase						(     lowerCAmelCase__ ,lowerCAmelCase__	):
							'''simple docstring'''







							__UpperCAmelCase		:					Any          ="""bit"""
							__UpperCAmelCase		:					Optional[int]          =["""preactivation""", """bottleneck"""]
							__UpperCAmelCase		:					List[str]          =["""SAME""", """VALID"""]

							def __init__(  self					,     __a=3					,     __a=64					,     __a=[2_56, 5_12, 10_24, 20_48]					,     __a=[3, 4, 6, 3]					,     __a="preactivation"					,     __a="relu"					,     __a=None					,     __a=32					,     __a=0.0					,     __a=False					,     __a=32					,     __a=1					,     __a=None					,     __a=None					,     **__a					,     ):
										super().__init__(**__a			)
										if layer_type not in self.layer_types:
													raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types			)}"			)
										if global_padding is not None:
													if global_padding.upper() in self.supported_padding:
																__lowerCAmelCase       					=    global_padding.upper()
													else:
																raise ValueError(f"Padding strategy {global_padding} not supported"			)
										__lowerCAmelCase       					=    num_channels
										__lowerCAmelCase       					=    embedding_size
										__lowerCAmelCase       					=    hidden_sizes
										__lowerCAmelCase       					=    depths
										__lowerCAmelCase       					=    layer_type
										__lowerCAmelCase       					=    hidden_act
										__lowerCAmelCase       					=    global_padding
										__lowerCAmelCase       					=    num_groups
										__lowerCAmelCase       					=    drop_path_rate
										__lowerCAmelCase       					=    embedding_dynamic_padding
										__lowerCAmelCase       					=    output_stride
										__lowerCAmelCase       					=    width_factor

										__lowerCAmelCase       					=    ["stem"] + [f"stage{idx}" for idx in range(1					,     len(__a			) + 1			)]
										__lowerCAmelCase					,			__lowerCAmelCase       					=    get_aligned_output_features_output_indices(
										    out_features=__a					,     out_indices=__a					,     stage_names=self.stage_names			)




