

'''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		       =    {
    '''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		       =    logging.get_logger(__name__)


class 					A__      (      _snake_case			):
    lowercase						=		"mask2former"
    lowercase						=		["swin"]
    lowercase						=		{"hidden_size": "hidden_dim"}



    def __init__(					self		,				UpperCamelCase__ = None		,				UpperCamelCase__ = 256		,				UpperCamelCase__ = 256		,				UpperCamelCase__ = 256		,				UpperCamelCase__ = 1024		,				UpperCamelCase__ = "relu"		,				UpperCamelCase__ = 6		,				UpperCamelCase__ = 10		,				UpperCamelCase__ = 8		,				UpperCamelCase__ = 0.0		,				UpperCamelCase__ = 2048		,				UpperCamelCase__ = False		,				UpperCamelCase__ = False		,				UpperCamelCase__ = 4		,				UpperCamelCase__ = 255		,				UpperCamelCase__ = 100		,				UpperCamelCase__ = 0.1		,				UpperCamelCase__ = 2.0		,				UpperCamelCase__ = 5.0		,				UpperCamelCase__ = 5.0		,				UpperCamelCase__ = 12544		,				UpperCamelCase__ = 3.0		,				UpperCamelCase__ = 0.75		,				UpperCamelCase__ = 0.02		,				UpperCamelCase__ = 1.0		,				UpperCamelCase__ = True		,				UpperCamelCase__ = [4, 8, 16, 32]		,				UpperCamelCase__ = None		,				**UpperCamelCase__		,				)						->      Tuple:





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

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

           # 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__(**UpperCamelCase__       )



    @classmethod
    def 					snake_case_			(					cls		,				UpperCamelCase__		,				**UpperCamelCase__       )						->      Dict:





           '''simple docstring'''
           return cls(
               backbone_config=UpperCamelCase__		,				**UpperCamelCase__		,				)







    def 					snake_case_			(					self       )						->      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'''







__lowerCamelCase		       =    range(2, 20 + 1)
__lowerCamelCase		       =    [10**k for k in range(ks[-1] + 1)]
__lowerCamelCase		       =    {}
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			Tuple:
       A_						=      sum(a_i[j] for j in range(UpperCAmelCase__,       len(UpperCAmelCase__				)				)				)
       A_						=      sum(a_i[j] * base[j] for j in range(min(len(UpperCAmelCase__				),       UpperCAmelCase__				)				)				)

       A_					,			A_						=      0, 0
       A_						=      n - i

       A_						=      memo.get(UpperCAmelCase__				)

       if sub_memo is not None:
              A_						=      sub_memo.get(UpperCAmelCase__				)

              if jumps is not None and len(UpperCAmelCase__				) > 0:
                     # find and make the largest jump without going over
                     A_						=      -1
                     for _k in range(len(UpperCAmelCase__				) - 1,       -1,       -1				):
                            if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
                                   A_						=      _k
                                   break

                     if max_jump >= 0:
                            A_					,			A_					,			A_						=      jumps[max_jump]
                            # since the difference between jumps is cached, add c
                            A_						=      diff + c
                            for j in range(min(UpperCAmelCase__,       len(UpperCAmelCase__				)				)				):
                                   A_					,			A_						=      divmod(UpperCAmelCase__,       10				)
                            if new_c > 0:
                                   add(UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)

              else:
                     A_						=      []
       else:
              A_						=      {c: []}
              A_						=      sub_memo

       if dn >= max_dn or c + diff >= base[k]:
              return diff, dn

       if k > ks[0]:
              while True:
                     # keep doing smaller jumps
                     A_					,			A_						=      next_term(UpperCAmelCase__,       k - 1,       i + dn,       UpperCAmelCase__				)
                     diff += _diff
                     dn += terms_jumped

                     if dn >= max_dn or c + diff >= base[k]:
                            break
       else:
              # would be too small a jump, just compute sequential terms instead
              A_					,			A_						=      compute(UpperCAmelCase__,       UpperCAmelCase__,       i + dn,       UpperCAmelCase__				)
              diff += _diff
              dn += terms_jumped

       A_						=      sub_memo[c]

       # keep jumps sorted by # of terms skipped
       A_						=      0
       while j < len(UpperCAmelCase__				):
              if jumps[j][1] > dn:
                     break
              j += 1

       # cache the jump for this value digitsum(b) and c
       sub_memo[c].insert(UpperCAmelCase__,       (diff, dn, k)				)
       return (diff, dn)
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       if i >= n:
              return 0, i
       if k > len(UpperCAmelCase__				):
              a_i.extend([0 for _ in range(k - len(UpperCAmelCase__				)				)]				)

       # note: a_i -> b * 10^k + c
       # ds_b -> digitsum(b)
       # ds_c -> digitsum(c)
       A_						=      i
       A_					,			A_					,			A_						=      0, 0, 0
       for j in range(len(UpperCAmelCase__				)				):
              if j >= k:
                     ds_b += a_i[j]
              else:
                     ds_c += a_i[j]

       while i < n:
              i += 1
              A_						=      ds_c + ds_b
              diff += addend
              A_						=      0
              for j in range(UpperCAmelCase__				):
                     A_						=      a_i[j] + addend
                     A_					,			A_						=      divmod(UpperCAmelCase__,       10				)

                     ds_c += a_i[j]

              if addend > 0:
                     break

       if addend > 0:
              add(UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)
       return diff, i - start_i
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			str:
       for j in range(UpperCAmelCase__,       len(UpperCAmelCase__				)				):
              A_						=      digits[j] + addend
              if s >= 10:
                     A_					,			A_						=      divmod(UpperCAmelCase__,       10				)
                     A_						=      addend // 10 + quotient
              else:
                     A_						=      s
                     A_						=      addend // 10

              if addend == 0:
                     break

       while addend > 0:
              A_					,			A_						=      divmod(UpperCAmelCase__,       10				)
              digits.append(UpperCAmelCase__				)
def       UpperCAmelCase__    (      UpperCAmelCase__ = 10**15				)			->			int:
       A_						=      [1]
       A_						=      1
       A_						=      0
       while True:
              A_					,			A_						=      next_term(UpperCAmelCase__,       20,       i + dn,       UpperCAmelCase__				)
              dn += terms_jumped
              if dn == n - i:
                     break

       A_						=      0
       for j in range(len(UpperCAmelCase__				)				):
              a_n += digits[j] * 10**j
       return a_n


if __name__ == "__main__":
      print(f"""{solution() = }""")
