





from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


snake_case_				=			{'configuration_dpt': ['DPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DPTConfig']}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_				=			['DPTFeatureExtractor']
    snake_case_				=			['DPTImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_				=			[
        'DPT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'DPTForDepthEstimation',
        'DPTForSemanticSegmentation',
        'DPTModel',
        'DPTPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_dpt import DPTFeatureExtractor
        from .image_processing_dpt import DPTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_dpt import (
            DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPTForDepthEstimation,
            DPTForSemanticSegmentation,
            DPTModel,
            DPTPreTrainedModel,
        )


else:
    import sys

    snake_case_				=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





'''simple docstring'''

from __future__ import annotations

from typing import Generic, TypeVar

a_  :				List[str]						= TypeVar("""T""")





class      snake_case    (    Generic[T]			):





  """simple docstring"""




  def __init__(    self			,  UpperCamelCase     ):







   """simple docstring"""
   lowerCamelCase_      =  data
   lowerCamelCase_      =  self
   lowerCamelCase_      =  0





class      snake_case    (    Generic[T]			):





  """simple docstring"""




  def __init__(    self     ):







   """simple docstring"""
   # map from node name to the node object
   lowerCamelCase_      =  {}






  def   snake_case		(    self			,  UpperCamelCase     ):







   """simple docstring"""
   # create a new set with x as its member
   lowerCamelCase_      =  DisjointSetTreeNode(UpperCamelCase     )






  def   snake_case		(    self			,  UpperCamelCase     ):







   """simple docstring"""
   # find the set x belongs to (with path-compression)
   lowerCamelCase_      =  self.map[data]
   if elem_ref != elem_ref.parent:
    lowerCamelCase_      =  self.find_set(elem_ref.parent.data     )
   return elem_ref.parent






  def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase     ):







   """simple docstring"""
   # helper function for union operation
   if nodea.rank > nodea.rank:
    lowerCamelCase_      =  nodea
   else:
    lowerCamelCase_      =  nodea
    if nodea.rank == nodea.rank:
     nodea.rank += 1







  def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase     ):







   """simple docstring"""
   # merge 2 disjoint sets
   self.link(self.find_set(UpperCamelCase     )			,  self.find_set(UpperCamelCase     )     )





class      snake_case    (    Generic[T]			):





  """simple docstring"""




  def __init__(    self     ):







   """simple docstring"""
   # connections: map from the node to the neighbouring nodes (with weights)
   lowerCamelCase_      =  {}






  def   snake_case		(    self			,  UpperCamelCase     ):







   """simple docstring"""
   # add a node ONLY if its not present in the graph
   if node not in self.connections:
    lowerCamelCase_      =  {}






  def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase			,  UpperCamelCase     ):







   """simple docstring"""
   # add an edge with the given weight
   self.add_node(UpperCamelCase     )
   self.add_node(UpperCamelCase     )
   lowerCamelCase_      =  weight
   lowerCamelCase_      =  weight







  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  []
   lowerCamelCase_      =  set()
   for start in self.connections:
    for end in self.connections[start]:
     if (start, end) not in seen:
      seen.add((end, start)     )
      edges.append((start, end, self.connections[start][end])     )
   edges.sort(key=lambda UpperCamelCase     : x[2]     )

   # creating the disjoint set
   lowerCamelCase_      =  DisjointSetTree[T]()
   for node in self.connections:
    disjoint_set.make_set(UpperCamelCase     )

   # MST generation
   lowerCamelCase_      =  0
   lowerCamelCase_      =  0
   lowerCamelCase_      =  GraphUndirectedWeighted[T]()
   while num_edges < len(self.connections     ) - 1:
    lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_      =  edges[index]
    index += 1
    lowerCamelCase_      =  disjoint_set.find_set(UpperCamelCase     )
    lowerCamelCase_      =  disjoint_set.find_set(UpperCamelCase     )
    if parent_u != parent_v:
     num_edges += 1
     graph.add_edge(UpperCamelCase			,  UpperCamelCase			,  UpperCamelCase     )
     disjoint_set.union(UpperCamelCase			,  UpperCamelCase     )
   return graph



