

import argparse
import os
import re

import packaging.version


SCREAMING_SNAKE_CASE		:Optional[Any]						=     """examples/"""
SCREAMING_SNAKE_CASE		:Dict						=     {
    """examples""": (re.compile(R"""^check_min_version\(\"[^\"]+\"\)\s*$""", re.MULTILINE), """check_min_version(\"VERSION\")\n"""),
    """init""": (re.compile(R"""^__version__\s+=\s+\"([^\"]+)\"\s*$""", re.MULTILINE), """__version__ = \"VERSION\"\n"""),
    """setup""": (re.compile(R"""^(\s*)version\s*=\s*\"[^\"]+\",""", re.MULTILINE), R"""\1version=\"VERSION\","""),
    """doc""": (re.compile(R"""^(\s*)release\s*=\s*\"[^\"]+\"$""", re.MULTILINE), """release = \"VERSION\"\n"""),
}
SCREAMING_SNAKE_CASE		:int						=     {
    """init""": """src/diffusers/__init__.py""",
    """setup""": """setup.py""",
}
SCREAMING_SNAKE_CASE		:Optional[int]						=     """README.md"""




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						Dict:



    """simple docstring"""






    with open(SCREAMING_SNAKE_CASE_			,						"r"			,						encoding="utf-8"			,						newline="\n"			) as f:
        UpperCamelCase_			  =						f.read()
    UpperCamelCase_  ,       UpperCamelCase_			  =						REPLACE_PATTERNS[pattern]
    UpperCamelCase_			  =						replace.replace("VERSION"			,						SCREAMING_SNAKE_CASE_			)
    UpperCamelCase_			  =						re_pattern.sub(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)
    with open(SCREAMING_SNAKE_CASE_			,						"w"			,						encoding="utf-8"			,						newline="\n"			) as f:
        f.write(SCREAMING_SNAKE_CASE_			)




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						Optional[int]:



    """simple docstring"""






    for folder, directories, fnames in os.walk(SCREAMING_SNAKE_CASE_			):
        # Removing some of the folders with non-actively maintained examples from the walk
        if "research_projects" in directories:
            directories.remove("research_projects"			)
        if "legacy" in directories:
            directories.remove("legacy"			)
        for fname in fnames:
            if fname.endswith(".py"			):
                update_version_in_file(os.path.join(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						SCREAMING_SNAKE_CASE_			,						pattern="examples"			)




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_=False			)->						Union[str, Any]:



    """simple docstring"""






    for pattern, fname in REPLACE_FILES.items():
        update_version_in_file(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)
    if not patch:
        update_version_in_examples(SCREAMING_SNAKE_CASE_			)




def 			lowerCAmelCase(      )->						List[str]:



    """simple docstring"""






    UpperCamelCase_			  =						"🤗 Transformers currently provides the following architectures"
    UpperCamelCase_			  =						"1. Want to contribute a new model?"
    with open(SCREAMING_SNAKE_CASE_			,						"r"			,						encoding="utf-8"			,						newline="\n"			) as f:
        UpperCamelCase_			  =						f.readlines()

    # Find the start of the list.
    UpperCamelCase_			  =						0
    while not lines[start_index].startswith(_start_prompt			):
        start_index += 1
    start_index += 1

    UpperCamelCase_			  =						start_index
    # Update the lines in the model list.
    while not lines[index].startswith(_end_prompt			):
        if lines[index].startswith("1."			):
            UpperCamelCase_			  =						lines[index].replace(
                "https://huggingface.co/docs/diffusers/main/model_doc"			,						"https://huggingface.co/docs/diffusers/model_doc"			,						)
        index += 1

    with open(SCREAMING_SNAKE_CASE_			,						"w"			,						encoding="utf-8"			,						newline="\n"			) as f:
        f.writelines(SCREAMING_SNAKE_CASE_			)




def 			lowerCAmelCase(      )->						Any:



    """simple docstring"""






    with open(REPLACE_FILES["init"]			,						"r"			) as f:
        UpperCamelCase_			  =						f.read()
    UpperCamelCase_			  =						REPLACE_PATTERNS["init"][0].search(SCREAMING_SNAKE_CASE_			).groups()[0]
    return packaging.version.parse(SCREAMING_SNAKE_CASE_			)




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_=False			)->						List[str]:



    """simple docstring"""






    UpperCamelCase_			  =						get_version()
    if patch and default_version.is_devrelease:
        raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"			)
    if default_version.is_devrelease:
        UpperCamelCase_			  =						default_version.base_version
    elif patch:
        UpperCamelCase_			  =						f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
    else:
        UpperCamelCase_			  =						f"{default_version.major}.{default_version.minor + 1}.0"

    # Now let's ask nicely if that's the right one.
    UpperCamelCase_			  =						input(f"Which version are you releasing? [{default_version}]"			)
    if len(SCREAMING_SNAKE_CASE_			) == 0:
        UpperCamelCase_			  =						default_version

    print(f"Updating version to {version}."			)
    global_version_update(SCREAMING_SNAKE_CASE_			,						patch=SCREAMING_SNAKE_CASE_			)




def 			lowerCAmelCase(      )->						Union[str, Any]:



    """simple docstring"""






    UpperCamelCase_			  =						get_version()
    UpperCamelCase_			  =						f"{current_version.major}.{current_version.minor + 1}.0.dev0"
    UpperCamelCase_			  =						current_version.base_version

    # Check with the user we got that right.
    UpperCamelCase_			  =						input(f"Which version are we developing now? [{dev_version}]"			)
    if len(SCREAMING_SNAKE_CASE_			) == 0:
        UpperCamelCase_			  =						dev_version

    print(f"Updating version to {version}."			)
    global_version_update(SCREAMING_SNAKE_CASE_			)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE		:str						=     argparse.ArgumentParser()
 parser.add_argument("""--post_release""", action="""store_true""", help="""Whether this is pre or post release.""")
 parser.add_argument("""--patch""", action="""store_true""", help="""Whether or not this is a patch release.""")
 SCREAMING_SNAKE_CASE		:Tuple						=     parser.parse_args()
 if not args.post_release:
  pre_release_work(patch=args.patch)
 elif args.patch:
  print("""Nothing to do after a patch :-)""")
 else:
  post_release_work()



import copy
from typing import Dict, List, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


SCREAMING_SNAKE_CASE		:Optional[Any]						=     {
    """facebook/mask2former-swin-small-coco-instance""": (
        """https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json"""
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

SCREAMING_SNAKE_CASE		:Union[str, Any]						=     logging.get_logger(__name__)






class 						__magic_name__					(							snake_case				):
     UpperCamelCase_	:Optional[int]										=      """mask2former"""
     UpperCamelCase_	:Dict										=      ["""swin"""]
     UpperCamelCase_	:List[Any]										=      {"""hidden_size""": """hidden_dim"""}






     def __init__(				self		,						_lowercase = None		,						_lowercase = 256		,						_lowercase = 256		,						_lowercase = 256		,						_lowercase = 1_024		,						_lowercase = "relu"		,						_lowercase = 6		,						_lowercase = 10		,						_lowercase = 8		,						_lowercase = 0.0		,						_lowercase = 2_048		,						_lowercase = False		,						_lowercase = False		,						_lowercase = 4		,						_lowercase = 255		,						_lowercase = 100		,						_lowercase = 0.1		,						_lowercase = 2.0		,						_lowercase = 5.0		,						_lowercase = 5.0		,						_lowercase = 12_544		,						_lowercase = 3.0		,						_lowercase = 0.75		,						_lowercase = 0.02		,						_lowercase = 1.0		,						_lowercase = True		,						_lowercase = [4, 8, 16, 32]		,						_lowercase = None		,						**_lowercase		,						)->     Union[str, Any]:
         if backbone_config is None:
             logger.info("`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."	)
             UpperCamelCase_			  =						CONFIG_MAPPING["swin"](
                 image_size=224		,						in_channels=3		,						patch_size=4		,						embed_dim=96		,						depths=[2, 2, 18, 2]		,						num_heads=[3, 6, 12, 24]		,						window_size=7		,						drop_path_rate=0.3		,						use_absolute_embeddings=_lowercase		,						out_features=["stage1", "stage2", "stage3", "stage4"]		,						)

         if isinstance(_lowercase		,						_lowercase	):
             UpperCamelCase_			  =						backbone_config.pop("model_type"	)
             UpperCamelCase_			  =						CONFIG_MAPPING[backbone_model_type]
             UpperCamelCase_			  =						config_class.from_dict(_lowercase	)

         # verify that the backbone is supported
         if backbone_config.model_type not in self.backbones_supported:
             logger.warning_once(
                 F"Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. "
                 F"Supported model types: {','.join(self.backbones_supported	)}"	)

         UpperCamelCase_			  =						backbone_config
         UpperCamelCase_			  =						feature_size
         UpperCamelCase_			  =						mask_feature_size
         UpperCamelCase_			  =						hidden_dim
         UpperCamelCase_			  =						encoder_feedforward_dim
         UpperCamelCase_			  =						activation_function
         UpperCamelCase_			  =						encoder_layers
         UpperCamelCase_			  =						decoder_layers
         UpperCamelCase_			  =						num_attention_heads
         UpperCamelCase_			  =						dropout
         UpperCamelCase_			  =						dim_feedforward
         UpperCamelCase_			  =						pre_norm
         UpperCamelCase_			  =						enforce_input_projection
         UpperCamelCase_			  =						common_stride
         UpperCamelCase_			  =						ignore_value
         UpperCamelCase_			  =						num_queries
         UpperCamelCase_			  =						no_object_weight
         UpperCamelCase_			  =						class_weight
         UpperCamelCase_			  =						mask_weight
         UpperCamelCase_			  =						dice_weight
         UpperCamelCase_			  =						train_num_points
         UpperCamelCase_			  =						oversample_ratio
         UpperCamelCase_			  =						importance_sample_ratio
         UpperCamelCase_			  =						init_std
         UpperCamelCase_			  =						init_xavier_std
         UpperCamelCase_			  =						use_auxiliary_loss
         UpperCamelCase_			  =						feature_strides
         UpperCamelCase_			  =						output_auxiliary_logits
         UpperCamelCase_			  =						decoder_layers

         super().__init__(**_lowercase	)






     @classmethod
     def 	UpperCAmelCase_				(				cls		,						_lowercase		,						**_lowercase	)->     Optional[int]:
         return cls(
             backbone_config=_lowercase		,						**_lowercase		,						)






     def 	UpperCAmelCase_				(				self	)->     Dict[str, any]:
         UpperCamelCase_			  =						copy.deepcopy(self.__dict__	)
         UpperCamelCase_			  =						self.backbone_config.to_dict()
         UpperCamelCase_			  =						self.__class__.model_type
         return output
