





import copy
from typing import Dict, List, Optional

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


_snake_case           =					{
    """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           =					logging.get_logger(__name__)





class    lowerCAmelCase				(  lowercase_   ):
  __lowerCamelCase						=     'mask2former'
  __lowerCamelCase						=     ['swin']
  __lowerCamelCase						=     {'hidden_size': 'hidden_dim'}







  def __init__(     self    :Dict       ,				_lowercase    :List[Any] = None       ,				_lowercase    :int = 2_56       ,				_lowercase    :str = 2_56       ,				_lowercase    :Union[str, Any] = 2_56       ,				_lowercase    :Dict = 10_24       ,				_lowercase    :str = "relu"       ,				_lowercase    :str = 6       ,				_lowercase    :Optional[int] = 10       ,				_lowercase    :str = 8       ,				_lowercase    :Optional[int] = 0.0       ,				_lowercase    :Tuple = 20_48       ,				_lowercase    :List[str] = False       ,				_lowercase    :Any = False       ,				_lowercase    :Dict = 4       ,				_lowercase    :List[str] = 2_55       ,				_lowercase    :Union[str, Any] = 1_00       ,				_lowercase    :Dict = 0.1       ,				_lowercase    :Optional[int] = 2.0       ,				_lowercase    :int = 5.0       ,				_lowercase    :str = 5.0       ,				_lowercase    :List[str] = 1_25_44       ,				_lowercase    :Tuple = 3.0       ,				_lowercase    :List[Any] = 0.75       ,				_lowercase    :int = 0.02       ,				_lowercase    :Any = 1.0       ,				_lowercase    :List[Any] = True       ,				_lowercase    :Tuple = [4, 8, 16, 32]       ,				_lowercase    :Union[str, Any] = None       ,				**_lowercase    :Union[str, Any]       ,				):






     '''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=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=_lowercase       ,				out_features=["stage1", "stage2", "stage3", "stage4"]       ,				)

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

     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__(**_lowercase   )







  @classmethod
  def     UpperCAmelCase	(     cls    :Any       ,				_lowercase    :List[str]       ,				**_lowercase    :List[str]   ):






     '''simple docstring'''





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







  def     UpperCAmelCase	(     self    :Any   ):






     '''simple docstring'''





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










'''simple docstring'''


def 		_lowercase (SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     __A	:       List[str]      =							1
     __A	:       Union[str, Any]      =							2
     while i * i <= n:
          __A	:       List[Any]      =							0
          while n % i == 0:
               n //= i
               multiplicity += 1
          n_divisors *= multiplicity + 1
          i += 1
     if n > 1:
          n_divisors *= 2
     return n_divisors


def 		_lowercase ():




     '''simple docstring'''





     __A	:       Optional[Any]      =							1
     __A	:       Dict      =							1

     while True:
          i += 1
          t_num += i

          if count_divisors(SCREAMING_SNAKE_CASE							) > 500:
               break

     return t_num


if __name__ == "__main__":
      print(solution())

