




import copy

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


lowercase__				:      Optional[int]     = logging.get_logger(__name__)




class       a__	( a__				):
     a		:      List[str]		 =     """upernet"""







     def __init__(     self  ,		A=None  ,		A=512  ,		A=0.0_2  ,		A=[1, 2, 3, 6]  ,		A=True  ,		A=0.4  ,		A=384  ,		A=256  ,		A=1  ,		A=False  ,		A=255  ,		**A  ,		)  ->   Union[str, Any]:



          '''simple docstring'''



          super().__init__(**_lowerCamelCase			)

          if backbone_config is None:
               logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."			)
               a     =				CONFIG_MAPPING['''resnet'''](out_features=["stage1", "stage2", "stage3", "stage4"]			)
          elif isinstance(_lowerCamelCase  ,		_lowerCamelCase			):
               a     =				backbone_config.get("model_type"			)
               a     =				CONFIG_MAPPING[backbone_model_type]
               a     =				config_class.from_dict(_lowerCamelCase			)

          a     =				backbone_config
          a     =				hidden_size
          a     =				initializer_range
          a     =				pool_scales
          a     =				use_auxiliary_head
          a     =				auxiliary_loss_weight
          a     =				auxiliary_in_channels
          a     =				auxiliary_channels
          a     =				auxiliary_num_convs
          a     =				auxiliary_concat_input
          a     =				loss_ignore_index







     def       lowerCAmelCase_    (     self			)  ->   str:



          '''simple docstring'''



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







# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

lowercase__				:      str	   = TypeVar("T")




class       a__	( Generic[T]				):







     def __init__(     self  ,		A = True			)  ->   None:



          '''simple docstring'''



          a     =				{}  # dictionary of lists
          a     =				directed







     def       lowerCAmelCase_    (     self  ,		A  ,		A			)  ->   GraphAdjacencyList[T]:



          '''simple docstring'''



          if not self.directed:  # For undirected graphs
               # if both source vertex and destination vertex are both present in the
               # adjacency list, add destination vertex to source vertex list of adjacent
               # vertices and add source vertex to destination vertex list of adjacent
               # vertices.
               if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                    self.adj_list[source_vertex].append(A			)
                    self.adj_list[destination_vertex].append(A			)
               # if only source vertex is present in adjacency list, add destination vertex
               # to source vertex list of adjacent vertices, then create a new vertex with
               # destination vertex as key and assign a list containing the source vertex
               # as it's first adjacent vertex.
               elif source_vertex in self.adj_list:
                    self.adj_list[source_vertex].append(A			)
                    a     =				[source_vertex]
               # if only destination vertex is present in adjacency list, add source vertex
               # to destination vertex list of adjacent vertices, then create a new vertex
               # with source vertex as key and assign a list containing the source vertex
               # as it's first adjacent vertex.
               elif destination_vertex in self.adj_list:
                    self.adj_list[destination_vertex].append(A			)
                    a     =				[destination_vertex]
               # if both source vertex and destination vertex are not present in adjacency
               # list, create a new vertex with source vertex as key and assign a list
               # containing the destination vertex as it's first adjacent vertex also
               # create a new vertex with destination vertex as key and assign a list
               # containing the source vertex as it's first adjacent vertex.
               else:
                    a     =				[destination_vertex]
                    a     =				[source_vertex]
          else:  # For directed graphs
               # if both source vertex and destination vertex are present in adjacency
               # list, add destination vertex to source vertex list of adjacent vertices.
               if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                    self.adj_list[source_vertex].append(A			)
               # if only source vertex is present in adjacency list, add destination
               # vertex to source vertex list of adjacent vertices and create a new vertex
               # with destination vertex as key, which has no adjacent vertex
               elif source_vertex in self.adj_list:
                    self.adj_list[source_vertex].append(A			)
                    a     =				[]
               # if only destination vertex is present in adjacency list, create a new
               # vertex with source vertex as key and assign a list containing destination
               # vertex as first adjacent vertex
               elif destination_vertex in self.adj_list:
                    a     =				[destination_vertex]
               # if both source vertex and destination vertex are not present in adjacency
               # list, create a new vertex with source vertex as key and a list containing
               # destination vertex as it's first adjacent vertex. Then create a new vertex
               # with destination vertex as key, which has no adjacent vertex
               else:
                    a     =				[destination_vertex]
                    a     =				[]

          return self







     def __repr__(     self			)  ->   str:



          '''simple docstring'''



          return pformat(self.adj_list			)

