

from abc import ABC, abstractmethod
from typing import List, Optional





class 							_snake_case (       __a						):
   def __init__( self			:      Tuple							):
     # test for the above condition
     self.test()
   def     __UpperCamelCase						( self			:      Dict							):
     SCREAMING_SNAKE_CASE:List[str]						      =					0
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					False
     while not completed:
       if counter == 1:
         self.reset()
       SCREAMING_SNAKE_CASE:str						      =					self.advance()
       if not self.does_advance(A__							):
         raise Exception(
             "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."							)

       SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE:Dict						      =					self.update(A__							)
       counter += 1

       if counter > 10_000:
         raise Exception("update() does not fulfill the constraint."							)

     if self.remaining() != 0:
       raise Exception("Custom Constraint is not defined correctly."							)
   @abstractmethod
   def     __UpperCamelCase						( self			:      List[Any]							):
     raise NotImplementedError(
         F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
   @abstractmethod
   def     __UpperCamelCase						( self			:      Union[str, Any]     ,SCREAMING_SNAKE_CASE__			:      Dict							):
     raise NotImplementedError(
         F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
   @abstractmethod
   def     __UpperCamelCase						( self			:      str     ,SCREAMING_SNAKE_CASE__			:      Tuple							):
     raise NotImplementedError(
         F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
   @abstractmethod
   def     __UpperCamelCase						( self			:      Dict							):
     raise NotImplementedError(
         F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
   @abstractmethod
   def     __UpperCamelCase						( self			:      Optional[Any]							):
     raise NotImplementedError(
         F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)







   @abstractmethod
   def     __UpperCamelCase						( self			:      int     ,SCREAMING_SNAKE_CASE__			:      List[Any]=False							):
     raise NotImplementedError(
         F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)





class 							_snake_case (       __a						):
   def __init__( self			:      Optional[Any]     ,SCREAMING_SNAKE_CASE__			:      Any							):
     super(A__     ,self							).__init__()

     if not isinstance(A__     ,A__							) or len(A__							) == 0:
       raise ValueError(F'''`token_ids` has to be a non-empty list, but is {token_ids}.'''							)
     if any((not isinstance(A__     ,A__							) or token_id < 0) for token_id in token_ids							):
       raise ValueError(F'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'''							)

     SCREAMING_SNAKE_CASE:List[str]						      =					token_ids

     SCREAMING_SNAKE_CASE:Optional[Any]						      =					len(self.token_ids							)
     SCREAMING_SNAKE_CASE:str						      =					-1  # the index of the currently fulfilled step
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					False
   def     __UpperCamelCase						( self			:      List[Any]							):
     if self.completed:
       return None
     return self.token_ids[self.fulfilled_idx + 1]
   def     __UpperCamelCase						( self			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      Tuple							):
     if not isinstance(A__     ,A__							):
       raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(A__							)}'''							)

     if self.completed:
       return False

     return token_id == self.token_ids[self.fulfilled_idx + 1]
   def     __UpperCamelCase						( self			:      str     ,SCREAMING_SNAKE_CASE__			:      Dict							):
     if not isinstance(A__     ,A__							):
       raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(A__							)}'''							)

     SCREAMING_SNAKE_CASE:Dict						      =					False
     SCREAMING_SNAKE_CASE:List[str]						      =					False
     SCREAMING_SNAKE_CASE:Optional[int]						      =					False

     if self.does_advance(A__							):
       self.fulfilled_idx += 1
       SCREAMING_SNAKE_CASE:List[Any]						      =					True
       if self.fulfilled_idx == (self.seqlen - 1):
         SCREAMING_SNAKE_CASE:Dict						      =					True
       SCREAMING_SNAKE_CASE:List[str]						      =					completed
     else:
       # failed to make progress.
       SCREAMING_SNAKE_CASE:str						      =					True
       self.reset()
     return stepped, completed, reset
   def     __UpperCamelCase						( self			:      Union[str, Any]							):
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					False
     SCREAMING_SNAKE_CASE:str						      =					0
   def     __UpperCamelCase						( self			:      Union[str, Any]							):
     return self.seqlen - (self.fulfilled_idx + 1)







   def     __UpperCamelCase						( self			:      List[str]     ,SCREAMING_SNAKE_CASE__			:      Tuple=False							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					PhrasalConstraint(self.token_ids							)

     if stateful:
       SCREAMING_SNAKE_CASE:List[Any]						      =					self.seqlen
       SCREAMING_SNAKE_CASE:Optional[int]						      =					self.fulfilled_idx
       SCREAMING_SNAKE_CASE:int						      =					self.completed

     return new_constraint





class 							_snake_case :
   def __init__( self			:      List[Any]     ,SCREAMING_SNAKE_CASE__			:      Dict     ,SCREAMING_SNAKE_CASE__			:      Tuple=True							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					max([len(A__							) for one in nested_token_ids]							)

     SCREAMING_SNAKE_CASE:Any						      =					{}
     for token_ids in nested_token_ids:
       SCREAMING_SNAKE_CASE:int						      =					root
       for tidx, token_id in enumerate(A__							):
         if token_id not in level:
           SCREAMING_SNAKE_CASE:Any						      =					{}

         SCREAMING_SNAKE_CASE:List[Any]						      =					level[token_id]

     if no_subsets and self.has_subsets(A__     ,A__							):
       raise ValueError(
           "Each list in `nested_token_ids` can\'t be a complete subset of another list, but is"
           F''' {nested_token_ids}.'''							)

     SCREAMING_SNAKE_CASE:List[str]						      =					root
   def     __UpperCamelCase						( self			:      Optional[int]     ,SCREAMING_SNAKE_CASE__			:      List[str]							):
     SCREAMING_SNAKE_CASE:Dict						      =					self.trie

     for current_token in current_seq:
       SCREAMING_SNAKE_CASE:str						      =					start[current_token]

     SCREAMING_SNAKE_CASE:List[str]						      =					list(start.keys()							)

     return next_tokens
   def     __UpperCamelCase						( self			:      List[Any]     ,SCREAMING_SNAKE_CASE__			:      List[str]							):
     SCREAMING_SNAKE_CASE:List[Any]						      =					self.next_tokens(A__							)

     return len(A__							) == 0
   def     __UpperCamelCase						( self			:      Optional[int]     ,SCREAMING_SNAKE_CASE__			:      str							):
     SCREAMING_SNAKE_CASE:List[Any]						      =					list(root.values()							)
     if len(A__							) == 0:
       return 1
     else:
       return sum([self.count_leaves(A__							) for nn in next_nodes]							)







   def     __UpperCamelCase						( self			:      List[Any]     ,SCREAMING_SNAKE_CASE__			:      Any     ,SCREAMING_SNAKE_CASE__			:      Dict							):
     SCREAMING_SNAKE_CASE:str						      =					self.count_leaves(A__							)
     return len(A__							) != leaf_count





class 							_snake_case (       __a						):
   def __init__( self			:      int     ,SCREAMING_SNAKE_CASE__			:      Optional[int]							):
     super(A__     ,self							).__init__()

     if not isinstance(A__     ,A__							) or len(A__							) == 0:
       raise ValueError(F'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''							)
     if any(not isinstance(A__     ,A__							) for token_ids in nested_token_ids							):
       raise ValueError(F'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'''							)
     if any(
         any((not isinstance(A__     ,A__							) or token_id < 0) for token_id in token_ids							)
         for token_ids in nested_token_ids							):
       raise ValueError(
           F'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'''							)

     SCREAMING_SNAKE_CASE:Tuple						      =					DisjunctiveTrie(A__							)
     SCREAMING_SNAKE_CASE:Any						      =					nested_token_ids

     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					self.trie.max_height
     SCREAMING_SNAKE_CASE:str						      =					[]
     SCREAMING_SNAKE_CASE:Tuple						      =					False
   def     __UpperCamelCase						( self			:      Any							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					self.trie.next_tokens(self.current_seq							)

     if len(A__							) == 0:
       return None
     else:
       return token_list
   def     __UpperCamelCase						( self			:      List[str]     ,SCREAMING_SNAKE_CASE__			:      Optional[int]							):
     if not isinstance(A__     ,A__							):
       raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(A__							)}'''							)

     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					self.trie.next_tokens(self.current_seq							)

     return token_id in next_tokens
   def     __UpperCamelCase						( self			:      Optional[Any]     ,SCREAMING_SNAKE_CASE__			:      str							):
     if not isinstance(A__     ,A__							):
       raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(A__							)}'''							)

     SCREAMING_SNAKE_CASE:Optional[int]						      =					False
     SCREAMING_SNAKE_CASE:Optional[int]						      =					False
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					False

     if self.does_advance(A__							):
       self.current_seq.append(A__							)
       SCREAMING_SNAKE_CASE:int						      =					True
     else:
       SCREAMING_SNAKE_CASE:Any						      =					True
       self.reset()

     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					self.trie.reached_leaf(self.current_seq							)
     SCREAMING_SNAKE_CASE:List[Any]						      =					completed

     return stepped, completed, reset
   def     __UpperCamelCase						( self			:      int							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					False
     SCREAMING_SNAKE_CASE:Any						      =					[]
   def     __UpperCamelCase						( self			:      List[str]							):
     if self.completed:
       # since this can be completed without reaching max height
       return 0
     else:
       return self.seqlen - len(self.current_seq							)







   def     __UpperCamelCase						( self			:      Any     ,SCREAMING_SNAKE_CASE__			:      Dict=False							):
     SCREAMING_SNAKE_CASE:List[str]						      =					DisjunctiveConstraint(self.token_ids							)

     if stateful:
       SCREAMING_SNAKE_CASE:Optional[int]						      =					self.seqlen
       SCREAMING_SNAKE_CASE:Tuple						      =					self.current_seq
       SCREAMING_SNAKE_CASE:Tuple						      =					self.completed

     return new_constraint





class 							_snake_case :
   def __init__( self			:      List[Any]     ,SCREAMING_SNAKE_CASE__			:      Union[str, Any]							):
     SCREAMING_SNAKE_CASE:str						      =					constraints

     # max # of steps required to fulfill a given constraint
     SCREAMING_SNAKE_CASE:Dict						      =					max([c.seqlen for c in constraints]							)
     SCREAMING_SNAKE_CASE:str						      =					len(A__							)
     SCREAMING_SNAKE_CASE:List[Any]						      =					False

     self.init_state()
   def     __UpperCamelCase						( self			:      Union[str, Any]							):
     SCREAMING_SNAKE_CASE:Any						      =					[]
     SCREAMING_SNAKE_CASE:int						      =					None
     SCREAMING_SNAKE_CASE:str						      =					[constraint.copy(stateful=A__							) for constraint in self.constraints]
   def     __UpperCamelCase						( self			:      Tuple							):
     SCREAMING_SNAKE_CASE:str						      =					0
     if self.inprogress_constraint:
       # extra points for having a constraint mid-fulfilled
       add += self.max_seqlen - self.inprogress_constraint.remaining()

     return (len(self.complete_constraints							) * self.max_seqlen) + add
   def     __UpperCamelCase						( self			:      Any							):
     SCREAMING_SNAKE_CASE:List[Any]						      =					[]
     if self.inprogress_constraint is None:
       for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
         SCREAMING_SNAKE_CASE:Tuple						      =					constraint.advance()
         if isinstance(A__     ,A__							):
           token_list.append(A__							)
         elif isinstance(A__     ,A__							):
           token_list.extend(A__							)
     else:
       SCREAMING_SNAKE_CASE:Dict						      =					self.inprogress_constraint.advance()
       if isinstance(A__     ,A__							):
         token_list.append(A__							)
       elif isinstance(A__     ,A__							):
         token_list.extend(A__							)

     if len(A__							) == 0:
       return None
     else:
       return token_list
   def     __UpperCamelCase						( self			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      List[str]							):
     self.init_state()

     if token_ids is not None:
       for token in token_ids:
         # completes or steps **one** constraint
         SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE:int						      =					self.add(A__							)

         # the entire list of constraints are fulfilled
         if self.completed:
           break
   def     __UpperCamelCase						( self			:      Optional[Any]     ,SCREAMING_SNAKE_CASE__			:      Tuple							):
     if not isinstance(A__     ,A__							):
       raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.'''							)

     SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE:Union[str, Any]						      =					False, False

     if self.completed:
       SCREAMING_SNAKE_CASE:Dict						      =					True
       SCREAMING_SNAKE_CASE:Optional[int]						      =					False
       return complete, stepped

     if self.inprogress_constraint is not None:
       # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
       # job, simply update the state

       SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE:str						      =					self.inprogress_constraint.update(A__							)
       if reset:
         # 1. If the next token breaks the progress, then we must restart.
         #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

         #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
         #     constraint, not the full list of constraints.

         self.pending_constraints.append(self.inprogress_constraint.copy(stateful=A__							)							)
         SCREAMING_SNAKE_CASE:str						      =					None

       if complete:
         # 2. If the next token completes the constraint, move it to completed list, set
         #     inprogress to None. If there are no pending constraints either, then this full list of constraints
         #     is complete.

         self.complete_constraints.append(self.inprogress_constraint							)
         SCREAMING_SNAKE_CASE:Union[str, Any]						      =					None

         if len(self.pending_constraints							) == 0:
           # we're done!
           SCREAMING_SNAKE_CASE:Union[str, Any]						      =					True

     else:
       # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
       # of constraints?

       for cidx, pending_constraint in enumerate(self.pending_constraints							):
         if pending_constraint.does_advance(A__							):
           SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE:List[str]						      =					pending_constraint.update(A__							)

           if not stepped:
             raise Exception(
                 "`constraint.update(token_id)` is not yielding incremental progress, "
                 "even though `constraint.does_advance(token_id)` is true."							)

           if complete:
             self.complete_constraints.append(A__							)
             SCREAMING_SNAKE_CASE:Optional[Any]						      =					None

           if not complete and stepped:
             SCREAMING_SNAKE_CASE:Any						      =					pending_constraint

           if complete or stepped:
             # If we made any progress at all, then it's at least not a "pending constraint".

             SCREAMING_SNAKE_CASE:int						      =					(
                 self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
             )

             if len(self.pending_constraints							) == 0 and self.inprogress_constraint is None:
               # If there's no longer any pending after this and no inprogress either, then we must be
               # complete.

               SCREAMING_SNAKE_CASE:Tuple						      =					True

             break  # prevent accidentally stepping through multiple constraints with just one token.

     return complete, stepped







   def     __UpperCamelCase						( self			:      Optional[Any]     ,SCREAMING_SNAKE_CASE__			:      Any=True							):
     SCREAMING_SNAKE_CASE:Dict						      =					ConstraintListState(self.constraints							)  # we actually never though self.constraints objects
     # throughout this process. So it's at initialization state.

     if stateful:
       SCREAMING_SNAKE_CASE:List[str]						      =					[
           constraint.copy(stateful=A__							) for constraint in self.complete_constraints
       ]
       if self.inprogress_constraint is not None:
         SCREAMING_SNAKE_CASE:str						      =					self.inprogress_constraint.copy(stateful=A__							)
       SCREAMING_SNAKE_CASE:List[str]						      =					[constraint.copy() for constraint in self.pending_constraints]

     return new_state









'''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






