

import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


A_       						=							NewType("DataClass", Any)
A_       						=							NewType("DataClassType", Any)





def    A_  ( snake_case ):
  if isinstance(snake_case      ,       snake_case ):
    return v
  if v.lower() in ("yes", "true", "t", "y", "1"):
    return True
  elif v.lower() in ("no", "false", "f", "n", "0"):
    return False
  else:
    raise ArgumentTypeError(
        F'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).''' )





def    A_  ( snake_case ):
  SCREAMING_SNAKE_CASE:Any						      =					{str(snake_case ): choice for choice in choices}
  return lambda snake_case : str_to_choice.get(snake_case      ,       snake_case )





def    A_  ( *,
    snake_case = None      ,       snake_case = None      ,       snake_case = dataclasses.MISSING      ,       snake_case = dataclasses.MISSING      ,       snake_case = None      ,       **snake_case      ,       ):
  if metadata is None:
    # Important, don't use as default param in function signature because dict is mutable and shared across function calls
    SCREAMING_SNAKE_CASE:str						      =					{}
  if aliases is not None:
    SCREAMING_SNAKE_CASE:Optional[int]						      =					aliases
  if help is not None:
    SCREAMING_SNAKE_CASE:Optional[Any]						      =					help

  return dataclasses.field(metadata=snake_case      ,       default=snake_case      ,       default_factory=snake_case      ,       **snake_case )





class 							_snake_case (       _a						):
   _A       :     Iterable[DataClassType]
   def __init__( self			:      Any     ,SCREAMING_SNAKE_CASE__			:      Union[DataClassType, Iterable[DataClassType]]     ,**SCREAMING_SNAKE_CASE__			:      Dict							):
     # To make the default appear when using --help
     if "formatter_class" not in kwargs:
       SCREAMING_SNAKE_CASE:List[Any]						      =					ArgumentDefaultsHelpFormatter
     super().__init__(**SCREAMING_SNAKE_CASE__							)
     if dataclasses.is_dataclass(SCREAMING_SNAKE_CASE__							):
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					[dataclass_types]
     SCREAMING_SNAKE_CASE:Optional[int]						      =					list(SCREAMING_SNAKE_CASE__							)
     for dtype in self.dataclass_types:
       self._add_dataclass_arguments(SCREAMING_SNAKE_CASE__							)
   @staticmethod
   def     __UpperCamelCase						( SCREAMING_SNAKE_CASE__			:      ArgumentParser     ,SCREAMING_SNAKE_CASE__			:      dataclasses.Field							):
     SCREAMING_SNAKE_CASE:Dict						      =					F'''--{field.name}'''
     SCREAMING_SNAKE_CASE:Any						      =					field.metadata.copy()
     # field.metadata is not used at all by Data Classes,
     # it is provided as a third-party extension mechanism.
     if isinstance(field.type     ,SCREAMING_SNAKE_CASE__							):
       raise RuntimeError(
           "Unresolved type detected, which should have been done with the help of "
           "`typing.get_type_hints` method by default"							)

     SCREAMING_SNAKE_CASE:Any						      =					kwargs.pop("aliases"     ,[]							)
     if isinstance(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							):
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					[aliases]

     SCREAMING_SNAKE_CASE:Dict						      =					getattr(field.type     ,"__origin__"     ,field.type							)
     if origin_type is Union or (hasattr(SCREAMING_SNAKE_CASE__     ,"UnionType"							) and isinstance(SCREAMING_SNAKE_CASE__     ,types.UnionType							)):
       if str not in field.type.__args__ and (
           len(field.type.__args__							) != 2 or type(SCREAMING_SNAKE_CASE__							) not in field.type.__args__
       ):
         raise ValueError(
             "Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"
             " the argument parser only supports one type per argument."
             F''' Problem encountered in field \'{field.name}\'.'''							)
       if type(SCREAMING_SNAKE_CASE__							) not in field.type.__args__:
         # filter `str` in Union
         SCREAMING_SNAKE_CASE:Tuple						      =					field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
         SCREAMING_SNAKE_CASE:Tuple						      =					getattr(field.type     ,"__origin__"     ,field.type							)
       elif bool not in field.type.__args__:
         # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
         SCREAMING_SNAKE_CASE:int						      =					(
             field.type.__args__[0] if isinstance(SCREAMING_SNAKE_CASE__     ,field.type.__args__[1]							) else field.type.__args__[1]
         )
         SCREAMING_SNAKE_CASE:Tuple						      =					getattr(field.type     ,"__origin__"     ,field.type							)

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
     SCREAMING_SNAKE_CASE:Optional[int]						      =					{}
     if origin_type is Literal or (isinstance(field.type     ,SCREAMING_SNAKE_CASE__							) and issubclass(field.type     ,SCREAMING_SNAKE_CASE__							)):
       if origin_type is Literal:
         SCREAMING_SNAKE_CASE:Tuple						      =					field.type.__args__
       else:
         SCREAMING_SNAKE_CASE:int						      =					[x.value for x in field.type]

       SCREAMING_SNAKE_CASE:Optional[int]						      =					make_choice_type_function(kwargs["choices"]							)

       if field.default is not dataclasses.MISSING:
         SCREAMING_SNAKE_CASE:Optional[int]						      =					field.default
       else:
         SCREAMING_SNAKE_CASE:List[str]						      =					True
     elif field.type is bool or field.type == Optional[bool]:
       # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
       # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
       SCREAMING_SNAKE_CASE:Tuple						      =					copy(SCREAMING_SNAKE_CASE__							)

       # Hack because type=bool in argparse does not behave as we want.
       SCREAMING_SNAKE_CASE:str						      =					string_to_bool
       if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
         # Default value is False if we have no default when of type bool.
         SCREAMING_SNAKE_CASE:Tuple						      =					False if field.default is dataclasses.MISSING else field.default
         # This is the value that will get picked if we don't include --field_name in any way
         SCREAMING_SNAKE_CASE:Union[str, Any]						      =					default
         # This tells argparse we accept 0 or 1 value after --field_name
         SCREAMING_SNAKE_CASE:Dict						      =					"?"
         # This is the value that will get picked if we do --field_name (without value)
         SCREAMING_SNAKE_CASE:List[Any]						      =					True
     elif isclass(SCREAMING_SNAKE_CASE__							) and issubclass(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							):
       SCREAMING_SNAKE_CASE:Any						      =					field.type.__args__[0]
       SCREAMING_SNAKE_CASE:Optional[int]						      =					"+"
       if field.default_factory is not dataclasses.MISSING:
         SCREAMING_SNAKE_CASE:List[str]						      =					field.default_factory()
       elif field.default is dataclasses.MISSING:
         SCREAMING_SNAKE_CASE:int						      =					True
     else:
       SCREAMING_SNAKE_CASE:Tuple						      =					field.type
       if field.default is not dataclasses.MISSING:
         SCREAMING_SNAKE_CASE:Any						      =					field.default
       elif field.default_factory is not dataclasses.MISSING:
         SCREAMING_SNAKE_CASE:Tuple						      =					field.default_factory()
       else:
         SCREAMING_SNAKE_CASE:int						      =					True
     parser.add_argument(SCREAMING_SNAKE_CASE__     ,*SCREAMING_SNAKE_CASE__     ,**SCREAMING_SNAKE_CASE__							)

     # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
     # Order is important for arguments with the same destination!
     # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
     # here and we do not need those changes/additional keys.
     if field.default is True and (field.type is bool or field.type == Optional[bool]):
       SCREAMING_SNAKE_CASE:Tuple						      =					False
       parser.add_argument(F'''--no_{field.name}'''     ,action="store_false"     ,dest=field.name     ,**SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      int     ,SCREAMING_SNAKE_CASE__			:      DataClassType							):
     if hasattr(SCREAMING_SNAKE_CASE__     ,"_argument_group_name"							):
       SCREAMING_SNAKE_CASE:Any						      =					self.add_argument_group(dtype._argument_group_name							)
     else:
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					self

     try:
       SCREAMING_SNAKE_CASE:Dict[str, type]						      =					get_type_hints(SCREAMING_SNAKE_CASE__							)
     except NameError:
       raise RuntimeError(
           F'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
           "removing line of `from __future__ import annotations` which opts in Postponed "
           "Evaluation of Annotations (PEP 563)"							)
     except TypeError as ex:
       # Remove this block when we drop Python 3.9 support
       if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(SCREAMING_SNAKE_CASE__							):
         SCREAMING_SNAKE_CASE:Dict						      =					".".join(map(SCREAMING_SNAKE_CASE__     ,sys.version_info[:3]							)							)
         raise RuntimeError(
             F'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
             "line of `from __future__ import annotations` which opts in union types as "
             "`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To "
             "support Python versions that lower than 3.10, you need to use "
             "`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of "
             "`X | None`."							) from ex
       raise

     for field in dataclasses.fields(SCREAMING_SNAKE_CASE__							):
       if not field.init:
         continue
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					type_hints[field.name]
       self._parse_dataclass_field(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      str     ,SCREAMING_SNAKE_CASE__			:      str=None     ,SCREAMING_SNAKE_CASE__			:      Tuple=False     ,SCREAMING_SNAKE_CASE__			:      List[Any]=True     ,SCREAMING_SNAKE_CASE__			:      Optional[Any]=None     ,SCREAMING_SNAKE_CASE__			:      Tuple=None     ,):

     if args_file_flag or args_filename or (look_for_args_file and len(sys.argv							)):
       SCREAMING_SNAKE_CASE:Optional[int]						      =					[]

       if args_filename:
         args_files.append(Path(SCREAMING_SNAKE_CASE__							)							)
       elif look_for_args_file and len(sys.argv							):
         args_files.append(Path(sys.argv[0]							).with_suffix(".args"							)							)

       # args files specified via command line flag should overwrite default args files so we add them last
       if args_file_flag:
         # Create special parser just to extract the args_file_flag values
         SCREAMING_SNAKE_CASE:Optional[Any]						      =					ArgumentParser()
         args_file_parser.add_argument(SCREAMING_SNAKE_CASE__     ,type=SCREAMING_SNAKE_CASE__     ,action="append"							)

         # Use only remaining args for further parsing (remove the args_file_flag)
         SCREAMING_SNAKE_CASE:Optional[int]						      =					args_file_parser.parse_known_args(args=SCREAMING_SNAKE_CASE__							)
         SCREAMING_SNAKE_CASE:List[str]						      =					vars(SCREAMING_SNAKE_CASE__							).get(args_file_flag.lstrip("-"							)     ,SCREAMING_SNAKE_CASE__							)

         if cmd_args_file_paths:
           args_files.extend([Path(SCREAMING_SNAKE_CASE__							) for p in cmd_args_file_paths]							)

       SCREAMING_SNAKE_CASE:List[Any]						      =					[]
       for args_file in args_files:
         if args_file.exists():
           file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
       SCREAMING_SNAKE_CASE:Optional[int]						      =					file_args + args if args is not None else file_args + sys.argv[1:]
     SCREAMING_SNAKE_CASE:List[str]						      =					self.parse_known_args(args=SCREAMING_SNAKE_CASE__							)
     SCREAMING_SNAKE_CASE:int						      =					[]
     for dtype in self.dataclass_types:
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					{f.name for f in dataclasses.fields(SCREAMING_SNAKE_CASE__							) if f.init}
       SCREAMING_SNAKE_CASE:Optional[int]						      =					{k: v for k, v in vars(SCREAMING_SNAKE_CASE__							).items() if k in keys}
       for k in keys:
         delattr(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
       SCREAMING_SNAKE_CASE:Optional[Any]						      =					dtype(**SCREAMING_SNAKE_CASE__							)
       outputs.append(SCREAMING_SNAKE_CASE__							)
     if len(namespace.__dict__							) > 0:
       # additional namespace.
       outputs.append(SCREAMING_SNAKE_CASE__							)
     if return_remaining_strings:
       return (*outputs, remaining_args)
     else:
       if remaining_args:
         raise ValueError(F'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}'''							)

       return (*outputs,)
   def     __UpperCamelCase						( self			:      Optional[int]     ,SCREAMING_SNAKE_CASE__			:      Dict[str, Any]     ,SCREAMING_SNAKE_CASE__			:      bool = False							):
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					set(args.keys()							)
     SCREAMING_SNAKE_CASE:Optional[int]						      =					[]
     for dtype in self.dataclass_types:
       SCREAMING_SNAKE_CASE:Any						      =					{f.name for f in dataclasses.fields(SCREAMING_SNAKE_CASE__							) if f.init}
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					{k: v for k, v in args.items() if k in keys}
       unused_keys.difference_update(inputs.keys()							)
       SCREAMING_SNAKE_CASE:str						      =					dtype(**SCREAMING_SNAKE_CASE__							)
       outputs.append(SCREAMING_SNAKE_CASE__							)
     if not allow_extra_keys and unused_keys:
       raise ValueError(F'''Some keys are not used by the HfArgumentParser: {sorted(SCREAMING_SNAKE_CASE__							)}'''							)
     return tuple(SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      Optional[int]     ,SCREAMING_SNAKE_CASE__			:      str     ,SCREAMING_SNAKE_CASE__			:      bool = False							):
     with open(Path(SCREAMING_SNAKE_CASE__							)     ,encoding="utf-8"							) as open_json_file:
       SCREAMING_SNAKE_CASE:List[Any]						      =					json.loads(open_json_file.read()							)
     SCREAMING_SNAKE_CASE:Dict						      =					self.parse_dict(SCREAMING_SNAKE_CASE__     ,allow_extra_keys=SCREAMING_SNAKE_CASE__							)
     return tuple(SCREAMING_SNAKE_CASE__							)







   def     __UpperCamelCase						( self			:      Optional[int]     ,SCREAMING_SNAKE_CASE__			:      str     ,SCREAMING_SNAKE_CASE__			:      bool = False							):
     SCREAMING_SNAKE_CASE:Any						      =					self.parse_dict(yaml.safe_load(Path(SCREAMING_SNAKE_CASE__							).read_text()							)     ,allow_extra_keys=SCREAMING_SNAKE_CASE__							)
     return tuple(SCREAMING_SNAKE_CASE__							)









'''simple docstring'''

import copy
from typing import Dict, List, Optional

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


A_       						=							{
    "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
}

A_       						=							logging.get_logger(__name__)





class 							_snake_case (       _a						):
   _A       :     List[Any]       =					'''mask2former'''
   _A       :     str       =					['''swin''']
   _A       :     Tuple       =					{'''hidden_size''': '''hidden_dim'''}
   def __init__( self			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      Optional[Dict] = None     ,SCREAMING_SNAKE_CASE__			:      int = 256     ,SCREAMING_SNAKE_CASE__			:      int = 256     ,SCREAMING_SNAKE_CASE__			:      int = 256     ,SCREAMING_SNAKE_CASE__			:      int = 1_024     ,SCREAMING_SNAKE_CASE__			:      str = "relu"     ,SCREAMING_SNAKE_CASE__			:      int = 6     ,SCREAMING_SNAKE_CASE__			:      int = 10     ,SCREAMING_SNAKE_CASE__			:      int = 8     ,SCREAMING_SNAKE_CASE__			:      float = 0.0     ,SCREAMING_SNAKE_CASE__			:      int = 2_048     ,SCREAMING_SNAKE_CASE__			:      bool = False     ,SCREAMING_SNAKE_CASE__			:      bool = False     ,SCREAMING_SNAKE_CASE__			:      int = 4     ,SCREAMING_SNAKE_CASE__			:      int = 255     ,SCREAMING_SNAKE_CASE__			:      int = 100     ,SCREAMING_SNAKE_CASE__			:      float = 0.1     ,SCREAMING_SNAKE_CASE__			:      float = 2.0     ,SCREAMING_SNAKE_CASE__			:      float = 5.0     ,SCREAMING_SNAKE_CASE__			:      float = 5.0     ,SCREAMING_SNAKE_CASE__			:      int = 12_544     ,SCREAMING_SNAKE_CASE__			:      float = 3.0     ,SCREAMING_SNAKE_CASE__			:      float = 0.75     ,SCREAMING_SNAKE_CASE__			:      float = 0.02     ,SCREAMING_SNAKE_CASE__			:      float = 1.0     ,SCREAMING_SNAKE_CASE__			:      bool = True     ,SCREAMING_SNAKE_CASE__			:      List[int] = [4, 8, 16, 32]     ,SCREAMING_SNAKE_CASE__			:      bool = None     ,**SCREAMING_SNAKE_CASE__			:      Dict     ,):
     if backbone_config is None:
       logger.info("`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."							)
       SCREAMING_SNAKE_CASE:Union[str, Any]						      =					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=SCREAMING_SNAKE_CASE__     ,out_features=["stage1", "stage2", "stage3", "stage4"]     ,)

     if isinstance(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							):
       SCREAMING_SNAKE_CASE:Any						      =					backbone_config.pop("model_type"							)
       SCREAMING_SNAKE_CASE:List[str]						      =					CONFIG_MAPPING[backbone_model_type]
       SCREAMING_SNAKE_CASE:List[str]						      =					config_class.from_dict(SCREAMING_SNAKE_CASE__							)

     # 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							)}'''							)

     SCREAMING_SNAKE_CASE:List[str]						      =					backbone_config
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					feature_size
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					mask_feature_size
     SCREAMING_SNAKE_CASE:str						      =					hidden_dim
     SCREAMING_SNAKE_CASE:Optional[int]						      =					encoder_feedforward_dim
     SCREAMING_SNAKE_CASE:Tuple						      =					activation_function
     SCREAMING_SNAKE_CASE:Optional[int]						      =					encoder_layers
     SCREAMING_SNAKE_CASE:List[Any]						      =					decoder_layers
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					num_attention_heads
     SCREAMING_SNAKE_CASE:Dict						      =					dropout
     SCREAMING_SNAKE_CASE:List[str]						      =					dim_feedforward
     SCREAMING_SNAKE_CASE:int						      =					pre_norm
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					enforce_input_projection
     SCREAMING_SNAKE_CASE:Any						      =					common_stride
     SCREAMING_SNAKE_CASE:int						      =					ignore_value
     SCREAMING_SNAKE_CASE:List[Any]						      =					num_queries
     SCREAMING_SNAKE_CASE:Dict						      =					no_object_weight
     SCREAMING_SNAKE_CASE:str						      =					class_weight
     SCREAMING_SNAKE_CASE:Tuple						      =					mask_weight
     SCREAMING_SNAKE_CASE:Optional[int]						      =					dice_weight
     SCREAMING_SNAKE_CASE:int						      =					train_num_points
     SCREAMING_SNAKE_CASE:str						      =					oversample_ratio
     SCREAMING_SNAKE_CASE:str						      =					importance_sample_ratio
     SCREAMING_SNAKE_CASE:str						      =					init_std
     SCREAMING_SNAKE_CASE:Any						      =					init_xavier_std
     SCREAMING_SNAKE_CASE:List[Any]						      =					use_auxiliary_loss
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					feature_strides
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					output_auxiliary_logits
     SCREAMING_SNAKE_CASE:Dict						      =					decoder_layers

     super().__init__(**SCREAMING_SNAKE_CASE__							)
   @classmethod
   def     __UpperCamelCase						( cls			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      PretrainedConfig     ,**SCREAMING_SNAKE_CASE__			:      Union[str, Any]							):
     return cls(
         backbone_config=SCREAMING_SNAKE_CASE__     ,**SCREAMING_SNAKE_CASE__     ,)







   def     __UpperCamelCase						( self			:      List[Any]							):
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					copy.deepcopy(self.__dict__							)
     SCREAMING_SNAKE_CASE:str						      =					self.backbone_config.to_dict()
     SCREAMING_SNAKE_CASE:List[str]						      =					self.__class__.model_type
     return output






