




'''simple docstring'''


import copy
from typing import Dict, List, Optional

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


_snake_case				:				Dict       							=		{
    '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
}

_snake_case				:				List[str]       							=		logging.get_logger(__name__)

class       A   (		_a   ):
							lowercase_          =    'mask2former'
							lowercase_          =    ['swin']
							lowercase_          =    {'hidden_size': 'hidden_dim'}







							def __init__(  self	:  Union[str, Any]							,      lowerCAmelCase_	:  Optional[Dict] = None							,      lowerCAmelCase_	:  int = 2_56							,      lowerCAmelCase_	:  int = 2_56							,      lowerCAmelCase_	:  int = 2_56							,      lowerCAmelCase_	:  int = 10_24							,      lowerCAmelCase_	:  str = "relu"							,      lowerCAmelCase_	:  int = 6							,      lowerCAmelCase_	:  int = 10							,      lowerCAmelCase_	:  int = 8							,      lowerCAmelCase_	:  float = 0.0							,      lowerCAmelCase_	:  int = 20_48							,      lowerCAmelCase_	:  bool = False							,      lowerCAmelCase_	:  bool = False							,      lowerCAmelCase_	:  int = 4							,      lowerCAmelCase_	:  int = 2_55							,      lowerCAmelCase_	:  int = 1_00							,      lowerCAmelCase_	:  float = 0.1							,      lowerCAmelCase_	:  float = 2.0							,      lowerCAmelCase_	:  float = 5.0							,      lowerCAmelCase_	:  float = 5.0							,      lowerCAmelCase_	:  int = 1_25_44							,      lowerCAmelCase_	:  float = 3.0							,      lowerCAmelCase_	:  float = 0.7_5							,      lowerCAmelCase_	:  float = 0.0_2							,      lowerCAmelCase_	:  float = 1.0							,      lowerCAmelCase_	:  bool = True							,      lowerCAmelCase_	:  List[int] = [4, 8, 16, 32]							,      lowerCAmelCase_	:  bool = None							,      **lowerCAmelCase_	:  Tuple							,      )      ->							str:


														"""simple docstring"""


														if backbone_config is None:
																					logger.info('''`backbone_config` is `None`. Initializing the config with the default `Swin` backbone.''' )
																					_a     					=    CONFIG_MAPPING['''swin'''](
																					    image_size=2_24							,      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=lowerCAmelCase_							,      out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']							,      )

														if isinstance(lowerCAmelCase_							,      lowerCAmelCase_ ):
																					_a     					=    backbone_config.pop('''model_type''' )
																					_a     					=    CONFIG_MAPPING[backbone_model_type]
																					_a     					=    config_class.from_dict(lowerCAmelCase_ )

														# 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 )}' )

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

														super().__init__(**lowerCAmelCase_ )







							@classmethod
							def        __lowerCAmelCase      (  cls	:  Any							,      lowerCAmelCase_	:  PretrainedConfig							,      **lowerCAmelCase_	:  Optional[Any] )      ->							List[Any]:


														"""simple docstring"""


														return cls(
														    backbone_config=lowerCAmelCase_							,      **lowerCAmelCase_							,      )







							def        __lowerCAmelCase      (  self	:  Union[str, Any] )      ->							Dict[str, any]:


														"""simple docstring"""


														_a     					=    copy.deepcopy(self.__dict__ )
														_a     					=    self.backbone_config.to_dict()
														_a     					=    self.__class__.model_type
														return output







'''simple docstring'''


from __future__ import annotations
def 		snake_case_   (UpperCamelCase	:  list[int]				):





							'''simple docstring'''


							if not nums:
														return 0
							_a     					=    nums[0]
							_a     					=    0
							for num in nums[1:]:
														_a					,							_a     					=    (
														    max_excluding + num,
														    max(UpperCamelCase			,						UpperCamelCase				),
														)
							return max(UpperCamelCase			,						UpperCamelCase				)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

