
'''simple docstring'''






class  __magic_name__							:






       def __init__(      self  ,							snake_case  ,							snake_case  ,							snake_case)						->  Optional[Any]:




          '''simple docstring'''
          _UpperCAmelCase       :       int							   =None
          _UpperCAmelCase       :       Optional[int]							   =None
          _UpperCAmelCase       :       int							   =graph

          self._normalize_graph(snake_case  ,							snake_case)
          _UpperCAmelCase       :       List[str]							   =len(snake_case)
          _UpperCAmelCase       :       Union[str, Any]							   =None






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case)						->  Optional[Any]:




          '''simple docstring'''
          if sources is int:
             _UpperCAmelCase       :       List[str]							   =[sources]
          if sinks is int:
             _UpperCAmelCase       :       Optional[Any]							   =[sinks]

          if len(snake_case) == 0 or len(snake_case) == 0:
             return

          _UpperCAmelCase       :       int							   =sources[0]
          _UpperCAmelCase       :       Optional[Any]							   =sinks[0]

          # make fake vertex if there are more
          # than one source or sink
          if len(snake_case) > 1 or len(snake_case) > 1:
             _UpperCAmelCase       :       Any							   =0
             for i in sources:
                max_input_flow += sum(self.graph[i])

             _UpperCAmelCase       :       List[Any]							   =len(self.graph) + 1
             for room in self.graph:
                room.insert(0  ,							0)
             self.graph.insert(0  ,							[0] * size)
             for i in sources:
                _UpperCAmelCase       :       int							   =max_input_flow
             _UpperCAmelCase       :       Dict							   =0

             _UpperCAmelCase       :       Optional[Any]							   =len(self.graph) + 1
             for room in self.graph:
                room.append(0)
             self.graph.append([0] * size)
             for i in sinks:
                _UpperCAmelCase       :       Union[str, Any]							   =max_input_flow
             _UpperCAmelCase       :       Optional[int]							   =size - 1






       def       lowerCAmelCase		(      self)						->  str:




          '''simple docstring'''
          if self.maximum_flow_algorithm is None:
             raise Exception('You need to set maximum flow algorithm before.')
          if self.source_index is None or self.sink_index is None:
             return 0

          self.maximum_flow_algorithm.execute()
          return self.maximum_flow_algorithm.getMaximumFlow()






       def       lowerCAmelCase		(      self  ,							snake_case)						->  List[str]:




          '''simple docstring'''
          _UpperCAmelCase       :       Union[str, Any]							   =algorithm(self)






class  __magic_name__							:






       def __init__(      self  ,							snake_case)						->  Tuple:




          '''simple docstring'''
          _UpperCAmelCase       :       str							   =flow_network
          _UpperCAmelCase       :       Dict							   =flow_network.verticesCount
          _UpperCAmelCase       :       Tuple							   =flow_network.sourceIndex
          _UpperCAmelCase       :       Optional[Any]							   =flow_network.sinkIndex
          # it's just a reference, so you shouldn't change
          # it in your algorithms, use deep copy before doing that
          _UpperCAmelCase       :       List[str]							   =flow_network.graph
          _UpperCAmelCase       :       Dict							   =False






       def       lowerCAmelCase		(      self)						->  Optional[Any]:




          '''simple docstring'''
          if not self.executed:
             self._algorithm()
             _UpperCAmelCase       :       Any							   =True






       def       lowerCAmelCase		(      self)						->  Dict:




          '''simple docstring'''
          pass






class  __magic_name__							(		lowerCAmelCase    ):






       def __init__(      self  ,							snake_case)						->  Dict:




          '''simple docstring'''
          super().__init__(snake_case)
          # use this to save your result
          _UpperCAmelCase       :       List[str]							   =-1






       def       lowerCAmelCase		(      self)						->  Any:




          '''simple docstring'''
          if not self.executed:
             raise Exception('You should execute algorithm before using its result!')

          return self.maximum_flow






class  __magic_name__							(		lowerCAmelCase    ):






       def __init__(      self  ,							snake_case)						->  str:




          '''simple docstring'''
          super().__init__(snake_case)

          _UpperCAmelCase       :       Optional[Any]							   =[[0] * self.verticies_count for i in range(self.verticies_count)]

          _UpperCAmelCase       :       Tuple							   =[0] * self.verticies_count
          _UpperCAmelCase       :       List[Any]							   =[0] * self.verticies_count






       def       lowerCAmelCase		(      self)						->  int:




          '''simple docstring'''
          _UpperCAmelCase       :       int							   =self.verticies_count

          # push some substance to graph
          for nextvertex_index, bandwidth in enumerate(self.graph[self.source_index]):
             self.preflow[self.source_index][nextvertex_index] += bandwidth
             self.preflow[nextvertex_index][self.source_index] -= bandwidth
             self.excesses[nextvertex_index] += bandwidth

          # Relabel-to-front selection rule
          _UpperCAmelCase       :       int							   =[
              i
              for i in range(self.verticies_count)
              if i != self.source_index and i != self.sink_index
          ]

          # move through list
          _UpperCAmelCase       :       Optional[int]							   =0
          while i < len(snake_case):
             _UpperCAmelCase       :       str							   =vertices_list[i]
             _UpperCAmelCase       :       Optional[Any]							   =self.heights[vertex_index]
             self.process_vertex(snake_case)
             if self.heights[vertex_index] > previous_height:
                # if it was relabeled, swap elements
                # and start from 0 index
                vertices_list.insert(0  ,							vertices_list.pop(snake_case))
                _UpperCAmelCase       :       Optional[int]							   =0
             else:
                i += 1

          _UpperCAmelCase       :       Optional[int]							   =sum(self.preflow[self.source_index])






       def       lowerCAmelCase		(      self  ,							snake_case)						->  Any:




          '''simple docstring'''
          while self.excesses[vertex_index] > 0:
             for neighbour_index in range(self.verticies_count):
                # if it's neighbour and current vertex is higher
                if (
                    self.graph[vertex_index][neighbour_index]
                    - self.preflow[vertex_index][neighbour_index]
                    > 0
                    and self.heights[vertex_index] > self.heights[neighbour_index]
                ):
                   self.push(snake_case  ,							snake_case)

             self.relabel(snake_case)






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case)						->  Dict:




          '''simple docstring'''
          _UpperCAmelCase       :       int							   =min(
              self.excesses[from_index]  ,							self.graph[from_index][to_index] - self.preflow[from_index][to_index]  ,							)
          self.preflow[from_index][to_index] += preflow_delta
          self.preflow[to_index][from_index] -= preflow_delta
          self.excesses[from_index] -= preflow_delta
          self.excesses[to_index] += preflow_delta






       def       lowerCAmelCase		(      self  ,							snake_case)						->  Dict:




          '''simple docstring'''
          _UpperCAmelCase       :       Dict							   =None
          for to_index in range(self.verticies_count):
             if (
                 self.graph[vertex_index][to_index]
                 - self.preflow[vertex_index][to_index]
                 > 0
             ) and (min_height is None or self.heights[to_index] < min_height):
                _UpperCAmelCase       :       Tuple							   =self.heights[to_index]

          if min_height is not None:
             _UpperCAmelCase       :       Dict							   =min_height + 1


if __name__ == "__main__":
 lowercase							=[0]
 lowercase							=[3]
 # graph = [
 #     [0, 0, 4, 6, 0, 0],
 #     [0, 0, 5, 2, 0, 0],
 #     [0, 0, 0, 0, 4, 4],
 #     [0, 0, 0, 0, 6, 6],
 #     [0, 0, 0, 0, 0, 0],
 #     [0, 0, 0, 0, 0, 0],
 # ]
 lowercase							=[[0, 7, 0, 0], [0, 0, 6, 0], [0, 0, 0, 8], [9, 0, 0, 0]]

 # prepare our network
 lowercase							=FlowNetwork(graph, entrances, exits)
 # set algorithm
 flow_network.set_maximum_flow_algorithm(PushRelabelExecutor)
 # and calculate
 lowercase							=flow_network.find_maximum_flow()

 print(F"""maximum flow is {maximum_flow}""")





'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase							=logging.get_logger(__name__)

lowercase							={
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										="glpn"






       def __init__(      self  ,							snake_case=3  ,							snake_case=4  ,							snake_case=[2, 2, 2, 2]  ,							snake_case=[8, 4, 2, 1]  ,							snake_case=[3_2, 6_4, 1_6_0, 2_5_6]  ,							snake_case=[7, 3, 3, 3]  ,							snake_case=[4, 2, 2, 2]  ,							snake_case=[1, 2, 5, 8]  ,							snake_case=[4, 4, 4, 4]  ,							snake_case="gelu"  ,							snake_case=0.0  ,							snake_case=0.0  ,							snake_case=0.02  ,							snake_case=0.1  ,							snake_case=1E-6  ,							snake_case=6_4  ,							snake_case=1_0  ,							snake_case=-1  ,							**snake_case  ,							)						->  Tuple:




          '''simple docstring'''
          super().__init__(**snake_case)

          _UpperCAmelCase       :       Any							   =num_channels
          _UpperCAmelCase       :       List[str]							   =num_encoder_blocks
          _UpperCAmelCase       :       Optional[Any]							   =depths
          _UpperCAmelCase       :       str							   =sr_ratios
          _UpperCAmelCase       :       Dict							   =hidden_sizes
          _UpperCAmelCase       :       List[str]							   =patch_sizes
          _UpperCAmelCase       :       Any							   =strides
          _UpperCAmelCase       :       List[str]							   =mlp_ratios
          _UpperCAmelCase       :       Dict							   =num_attention_heads
          _UpperCAmelCase       :       List[str]							   =hidden_act
          _UpperCAmelCase       :       int							   =hidden_dropout_prob
          _UpperCAmelCase       :       List[Any]							   =attention_probs_dropout_prob
          _UpperCAmelCase       :       Union[str, Any]							   =initializer_range
          _UpperCAmelCase       :       Tuple							   =drop_path_rate
          _UpperCAmelCase       :       str							   =layer_norm_eps
          _UpperCAmelCase       :       Optional[int]							   =decoder_hidden_size
          _UpperCAmelCase       :       List[str]							   =max_depth
          _UpperCAmelCase       :       Dict							   =head_in_index

