"""simple docstring"""






import copy
from typing import Dict, List, Optional

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


__lowerCAmelCase    :       str					     ={
    """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
}

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





class  _A						(       lowerCAmelCase	):
      snake_case__			:   Optional[Any]							  =	'mask2former'
      snake_case__			:   Union[str, Any]							  =	['swin']
      snake_case__			:   Dict							  =	{'hidden_size': 'hidden_dim'}

      def __init__(						self		,       __lowerCAmelCase = None		,       __lowerCAmelCase = 256		,       __lowerCAmelCase = 256		,       __lowerCAmelCase = 256		,       __lowerCAmelCase = 1024		,       __lowerCAmelCase = "relu"		,       __lowerCAmelCase = 6		,       __lowerCAmelCase = 10		,       __lowerCAmelCase = 8		,       __lowerCAmelCase = 0.0		,       __lowerCAmelCase = 2048		,       __lowerCAmelCase = False		,       __lowerCAmelCase = False		,       __lowerCAmelCase = 4		,       __lowerCAmelCase = 255		,       __lowerCAmelCase = 100		,       __lowerCAmelCase = 0.1		,       __lowerCAmelCase = 2.0		,       __lowerCAmelCase = 5.0		,       __lowerCAmelCase = 5.0		,       __lowerCAmelCase = 1_2544		,       __lowerCAmelCase = 3.0		,       __lowerCAmelCase = 0.7_5		,       __lowerCAmelCase = 0.0_2		,       __lowerCAmelCase = 1.0		,       __lowerCAmelCase = True		,       __lowerCAmelCase = [4, 8, 16, 32]		,       __lowerCAmelCase = None		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            if backbone_config is None:
                  logger.info("""`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."""						)
                  lowercase														=	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=__lowerCAmelCase		,       out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]		,       )

            if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						):
                  lowercase														=	backbone_config.pop("""model_type"""						)
                  lowercase														=	CONFIG_MAPPING[backbone_model_type]
                  lowercase														=	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						)}'						)

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

            super().__init__(**__lowerCAmelCase						)

      @classmethod
      def 				A__       (						cls		,       __lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



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







      def 				A__       (						self						):







            """simple docstring"""



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




"""simple docstring"""






from __future__ import annotations

from typing import Any





class  _A						:

      def __init__(						self		,       __lowerCAmelCase = 6						):







            """simple docstring"""



            lowercase														=	None
            lowercase														=	None
            self.create_linked_list(__lowerCAmelCase						)

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	Node()
            lowercase														=	current_node
            lowercase														=	current_node
            lowercase														=	current_node
            for _ in range(1		,       __lowerCAmelCase						):
                  lowercase														=	Node()
                  lowercase														=	current_node
                  lowercase														=	previous_node
                  lowercase														=	current_node
            lowercase														=	self.front
            lowercase														=	previous_node

      def 				A__       (						self						):







            """simple docstring"""



            return (
                self.front == self.rear
                and self.front is not None
                and self.front.data is None
            )

      def 				A__       (						self						):







            """simple docstring"""



            self.check_can_perform_operation()
            return self.front.data if self.front else None

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if self.rear is None:
                  return

            self.check_is_full()
            if not self.is_empty():
                  lowercase														=	self.rear.next
            if self.rear:
                  lowercase														=	data

      def 				A__       (						self						):







            """simple docstring"""



            self.check_can_perform_operation()
            if self.rear is None or self.front is None:
                  return None
            if self.front == self.rear:
                  lowercase														=	self.front.data
                  lowercase														=	None
                  return data

            lowercase														=	self.front
            lowercase														=	old_front.next
            lowercase														=	old_front.data
            lowercase														=	None
            return data

      def 				A__       (						self						):







            """simple docstring"""



            if self.is_empty():
                  raise Exception("""Empty Queue"""						)







      def 				A__       (						self						):







            """simple docstring"""



            if self.rear and self.rear.next == self.front:
                  raise Exception("""Full Queue"""						)






class  _A						:

      def __init__(						self						):







            """simple docstring"""



            lowercase														=	None
            lowercase														=	None
            lowercase														=	None


if __name__ == "__main__":
       import doctest

       doctest.testmod()



