





"""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
__magic_name__       :					Optional[int]						=			"""src/diffusers"""

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


__magic_name__       :					str						=			"""
{0} = None
"""

__magic_name__       :					Optional[int]						=			"""
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})
"""


__magic_name__       :					List[str]						=			"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Optional[int]				   =			_re_backend.findall(lowercase__     )
						if len(lowercase__     ) == 0:
												return None

						return "_and_".join(lowercase__     )

def      UpperCamelCase							():
						with open(os.path.join(lowercase__							,     """__init__.py"""     )							,     """r"""							,     encoding="""utf-8"""							,     newline="""\n"""     ) as f:
												UpperCamelCase				:		Union[str, Any]				   =			f.readlines()

						# Get to the point we do the actual imports for type checking
						UpperCamelCase				:		Optional[Any]				   =			0
						UpperCamelCase				:		List[str]				   =			{}
						# Go through the end of the file
						while line_index < len(lowercase__     ):
												# If the line contains is_backend_available, we grab all objects associated with the `else` block
												UpperCamelCase				:		int				   =			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(lowercase__     ) and len(lines[line_index]     ) > 1:
																								UpperCamelCase				:		Union[str, Any]				   =			lines[line_index]
																								UpperCamelCase				:		int				   =			_re_single_line_import.search(lowercase__     )
																								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(lowercase__     ) > 0:
																								UpperCamelCase				:		Any				   =			objects
												else:
																		line_index += 1

						return backend_specific_objects

def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						if name.isupper():
												return DUMMY_CONSTANT.format(lowercase__     )
						elif name.islower():
												return DUMMY_FUNCTION.format(lowercase__							,     lowercase__     )
						else:
												return DUMMY_CLASS.format(lowercase__							,     lowercase__     )

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

						for backend, objects in backend_specific_objects.items():
												UpperCamelCase				:		Optional[int]				   =			"[" + ", ".join(f"""\"{b}\"""" for b in backend.split("""_and_"""     )     ) + "]"
												UpperCamelCase				:		Optional[int]				   =			"# 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(lowercase__							,     lowercase__     ) for o in objects]     )
												UpperCamelCase				:		Optional[int]				   =			dummy_file

						return dummy_files

def      UpperCamelCase							(SCREAMING_SNAKE_CASE=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				:		str				   =			os.path.join(lowercase__							,     """utils"""     )
						UpperCamelCase				:		Any				   =			{
						    backend: os.path.join(lowercase__							,     f"""dummy_{short_names.get(lowercase__							,     lowercase__     )}_objects.py"""     )
						    for backend in dummy_files.keys()
						}

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

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


if __name__ == "__main__":
		__magic_name__       :					Dict						=			argparse.ArgumentParser()
		parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
		__magic_name__       :					Union[str, Any]						=			parser.parse_args()

		check_dummies(args.fix_and_overwrite)






"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase		     =    logging.get_logger(__name__)

_UpperCamelCase		     =    {
    """microsoft/beit-base-patch16-224-pt22k""": (
        """https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"""
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class 			__a					(						__magic_name__       ):





       """simple docstring"""


       __UpperCamelCase					:      Union[str, Any]    =						'beit'






       def __init__(   self			,					snake_case=8_192			,					snake_case=768			,					snake_case=12			,					snake_case=12			,					snake_case=3_072			,					snake_case="gelu"			,					snake_case=0.0			,					snake_case=0.0			,					snake_case=0.02			,					snake_case=1e-12			,					snake_case=224			,					snake_case=16			,					snake_case=3			,					snake_case=False			,					snake_case=False			,					snake_case=False			,					snake_case=False			,					snake_case=0.1			,					snake_case=0.1			,					snake_case=True			,					snake_case=[3, 5, 7, 11]			,					snake_case=[1, 2, 3, 6]			,					snake_case=True			,					snake_case=0.4			,					snake_case=256			,					snake_case=1			,					snake_case=False			,					snake_case=255			,					**snake_case			,					):





        """simple docstring"""

        super().__init__(**snake_case   )

        lowerCAmelCase__   :				Union[str, Any] 			=				vocab_size
        lowerCAmelCase__   :				int 			=				hidden_size
        lowerCAmelCase__   :				str 			=				num_hidden_layers
        lowerCAmelCase__   :				Any 			=				num_attention_heads
        lowerCAmelCase__   :				List[str] 			=				intermediate_size
        lowerCAmelCase__   :				int 			=				hidden_act
        lowerCAmelCase__   :				Optional[Any] 			=				hidden_dropout_prob
        lowerCAmelCase__   :				str 			=				attention_probs_dropout_prob
        lowerCAmelCase__   :				Optional[int] 			=				initializer_range
        lowerCAmelCase__   :				Dict 			=				layer_norm_eps

        lowerCAmelCase__   :				int 			=				image_size
        lowerCAmelCase__   :				Union[str, Any] 			=				patch_size
        lowerCAmelCase__   :				Dict 			=				num_channels
        lowerCAmelCase__   :				Optional[Any] 			=				use_mask_token
        lowerCAmelCase__   :				Dict 			=				use_absolute_position_embeddings
        lowerCAmelCase__   :				Any 			=				use_relative_position_bias
        lowerCAmelCase__   :				List[Any] 			=				use_shared_relative_position_bias
        lowerCAmelCase__   :				Dict 			=				layer_scale_init_value
        lowerCAmelCase__   :				Optional[int] 			=				drop_path_rate
        lowerCAmelCase__   :				Optional[Any] 			=				use_mean_pooling
        # decode head attributes (semantic segmentation)
        lowerCAmelCase__   :				Optional[int] 			=				out_indices
        lowerCAmelCase__   :				List[Any] 			=				pool_scales
        # auxiliary head attributes (semantic segmentation)
        lowerCAmelCase__   :				List[Any] 			=				use_auxiliary_head
        lowerCAmelCase__   :				Optional[int] 			=				auxiliary_loss_weight
        lowerCAmelCase__   :				List[str] 			=				auxiliary_channels
        lowerCAmelCase__   :				Optional[Any] 			=				auxiliary_num_convs
        lowerCAmelCase__   :				Union[str, Any] 			=				auxiliary_concat_input
        lowerCAmelCase__   :				List[str] 			=				semantic_loss_ignore_index






class 			__a					(						__magic_name__       ):





       """simple docstring"""


       __UpperCamelCase					:      List[str]    =						version.parse('1.11'       )






       @property
       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        return OrderedDict(
            [
                ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
            ]   )






       @property
       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        return 1e-4






