


"""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


__snake_case         =					logging.get_logger(__name__)

__snake_case         =					{
    """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 _lowerCAmelCase       (   snake_case_			):
   __UpperCAmelCase				: Any													=						'''beit'''







   def __init__(			self		,			UpperCamelCase__=8192		,			UpperCamelCase__=768		,			UpperCamelCase__=12		,			UpperCamelCase__=12		,			UpperCamelCase__=3072		,			UpperCamelCase__="gelu"		,			UpperCamelCase__=0.0		,			UpperCamelCase__=0.0		,			UpperCamelCase__=0.02		,			UpperCamelCase__=1e-12		,			UpperCamelCase__=224		,			UpperCamelCase__=16		,			UpperCamelCase__=3		,			UpperCamelCase__=False		,			UpperCamelCase__=False		,			UpperCamelCase__=False		,			UpperCamelCase__=False		,			UpperCamelCase__=0.1		,			UpperCamelCase__=0.1		,			UpperCamelCase__=True		,			UpperCamelCase__=[3, 5, 7, 11]		,			UpperCamelCase__=[1, 2, 3, 6]		,			UpperCamelCase__=True		,			UpperCamelCase__=0.4		,			UpperCamelCase__=256		,			UpperCamelCase__=1		,			UpperCamelCase__=False		,			UpperCamelCase__=255		,			**UpperCamelCase__		,			)			->	Union[str, Any]:

       '''simple docstring'''




       super().__init__(**UpperCamelCase__		)

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

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







class _lowerCAmelCase       (   snake_case_			):
   __UpperCAmelCase				: Optional[int]													=						version.parse('''1.11'''			)







   @property
   def 				lowerCamelCase	(			self		)			->	Mapping[str, Mapping[int, str]]:

       '''simple docstring'''




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







   @property
   def 				lowerCamelCase	(			self		)			->	float:

       '''simple docstring'''




       return 1e-4









"""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
__snake_case         =					"""src/diffusers"""

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


__snake_case         =					"""
{0} = None
"""

__snake_case         =					"""
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})
"""


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







def 						__lowerCAmelCase		(		lowercase						:						Tuple				)			->		str:


    """simple docstring"""





    snake_case					:   Optional[Any]         =					_re_backend.findall(lowercase				)
    if len(lowercase				) == 0:
        return None

    return "_and_".join(lowercase				)







def 						__lowerCAmelCase		(		)			->		Tuple:


    """simple docstring"""





    with open(os.path.join(lowercase		,							"__init__.py"				)		,							"r"		,							encoding="utf-8"		,							newline="\n"				) as f:
        snake_case					:   Tuple         =					f.readlines()

    # Get to the point we do the actual imports for type checking
    snake_case					:   Tuple         =					0
    snake_case					:   Optional[Any]         =					{}
    # 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
        snake_case					:   List[Any]         =					find_backend(lines[line_index]				)
        if backend is not None:
            while not lines[line_index].startswith("else:"				):
                line_index += 1
            line_index += 1
            snake_case					:   str         =					[]
            # Until we unindent, add backend objects to the list
            while line_index < len(lowercase				) and len(lines[line_index]				) > 1:
                snake_case					:   List[str]         =					lines[line_index]
                snake_case					:   Any         =					_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:
                snake_case					:   Any         =					objects
        else:
            line_index += 1

    return backend_specific_objects







def 						__lowerCAmelCase		(		lowercase						:						Union[str, Any]		,							lowercase						:						Tuple				)			->		int:


    """simple docstring"""





    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 						__lowerCAmelCase		(		lowercase						:						Union[str, Any]=None				)			->		Optional[int]:


    """simple docstring"""





    if backend_specific_objects is None:
        snake_case					:   List[str]         =					read_init()
    # For special correspondence backend to module name as used in the function requires_modulename
    snake_case					:   Dict         =					{}

    for backend, objects in backend_specific_objects.items():
        snake_case					:   Union[str, Any]         =					"[" + ", ".join(F'"{b}"' for b in backend.split("_and_"				)				) + "]"
        snake_case					:   Union[str, Any]         =					"# 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]				)
        snake_case					:   Optional[Any]         =					dummy_file

    return dummy_files







def 						__lowerCAmelCase		(		lowercase						:						Optional[Any]=False				)			->		Any:


    """simple docstring"""





    snake_case					:   str         =					create_dummy_files()
    # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
    snake_case					:   Dict         =					{"torch": "pt"}

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

    snake_case					:   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:
                snake_case					:   int         =					f.read()
        else:
            snake_case					:   Optional[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(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__":
  __snake_case         =					argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  __snake_case         =					parser.parse_args()

  check_dummies(args.fix_and_overwrite)





