'''simple docstring'''





SCREAMING_SNAKE_CASE_:					List[Any]  =[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]





def      lowerCAmelCase_    ( snake_case_	:			Union[str, Any] ,   snake_case_	:			Any ,   snake_case_	:			Tuple ,   snake_case_	:			List[Any]      )   ->				List[Any]:


     '''simple docstring'''




     UpperCAmelCase_	   =       [False] * len(snake_case_      )
     UpperCAmelCase_	   =       [s]
     UpperCAmelCase_	   =       True

     while queue:
          UpperCAmelCase_	   =       queue.pop(0      )
          for ind in range(len(graph[u]      )      ):
               if visited[ind] is False and graph[u][ind] > 0:
                    queue.append(snake_case_      )
                    UpperCAmelCase_	   =       True
                    UpperCAmelCase_	   =       u

     return visited[t]





def      lowerCAmelCase_    ( snake_case_	:			Tuple ,   snake_case_	:			Tuple ,   snake_case_	:			Tuple      )   ->				str:


     '''simple docstring'''




     UpperCAmelCase_	   =       [-1] * (len(snake_case_      ))
     UpperCAmelCase_	   =       0
     UpperCAmelCase_	   =       []
     UpperCAmelCase_	   =       [i[:] for i in graph]  # Record original cut, copy.
     while bfs(snake_case_ ,   snake_case_ ,   snake_case_ ,   snake_case_      ):
          UpperCAmelCase_	   =       float("Inf"      )
          UpperCAmelCase_	   =       sink

          while s != source:
               # Find the minimum value in select path
               UpperCAmelCase_	   =       min(snake_case_ ,   graph[parent[s]][s]      )
               UpperCAmelCase_	   =       parent[s]

          max_flow += path_flow
          UpperCAmelCase_	   =       sink

          while v != source:
               UpperCAmelCase_	   =       parent[v]
               graph[u][v] -= path_flow
               graph[v][u] += path_flow
               UpperCAmelCase_	   =       parent[v]

     for i in range(len(snake_case_      )      ):
          for j in range(len(graph[0]      )      ):
               if graph[i][j] == 0 and temp[i][j] > 0:
                    res.append((i, j)      )

     return res


if __name__ == "__main__":
    print(mincut(test_graph, source=0, sink=5))





'''simple docstring'''





import os

import numpy
import onnx





def      lowerCAmelCase_    ( snake_case_	:			Union[str, Any] ,   snake_case_	:			Optional[int]      )   ->				Optional[Any]:


     '''simple docstring'''




     UpperCAmelCase_	   =       a.name
     UpperCAmelCase_	   =       b.name

     UpperCAmelCase_	   =       ""
     UpperCAmelCase_	   =       ""

     UpperCAmelCase_	   =       a == b

     UpperCAmelCase_	   =       name_a
     UpperCAmelCase_	   =       name_b

     return res





def      lowerCAmelCase_    ( snake_case_	:			Any ,   snake_case_	:			Tuple ,   snake_case_	:			Union[str, Any]      )   ->				Any:


     '''simple docstring'''




     for i, input_name in enumerate(node_proto.input      ):
          if input_name == name:
               node_proto.input.insert(snake_case_ ,   snake_case_      )
               node_proto.input.pop(i + 1      )

     if node_proto.op_type == "If":
          _graph_replace_input_with(node_proto.attribute[0].g ,   snake_case_ ,   snake_case_      )
          _graph_replace_input_with(node_proto.attribute[1].g ,   snake_case_ ,   snake_case_      )
     if node_proto.op_type == "Loop":
          _graph_replace_input_with(node_proto.attribute[0].g ,   snake_case_ ,   snake_case_      )





def      lowerCAmelCase_    ( snake_case_	:			List[str] ,   snake_case_	:			List[str] ,   snake_case_	:			Union[str, Any]      )   ->				Optional[int]:


     '''simple docstring'''




     for n in graph_proto.node:
          _node_replace_input_with(snake_case_ ,   snake_case_ ,   snake_case_      )





def      lowerCAmelCase_    ( snake_case_	:			List[str] ,   snake_case_	:			Any ,   snake_case_	:			Optional[Any]      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       list(model.graph.initializer      )
     UpperCAmelCase_	   =       list(model_without_ext.graph.initializer      )
     for i, ref_i in ind_to_replace:
          assert inits_with_data[i].name == inits[i].name
          assert inits_with_data[ref_i].name == inits[ref_i].name
          assert i > ref_i

          UpperCAmelCase_	   =       inits[i].name
          UpperCAmelCase_	   =       inits[ref_i].name

          model_without_ext.graph.initializer.remove(inits[i]      )

          # for n in model.graph.node:
          _graph_replace_input_with(model_without_ext.graph ,   snake_case_ ,   snake_case_      )






def      lowerCAmelCase_    ( snake_case_	:			int      )   ->				Optional[Any]:


     '''simple docstring'''




     UpperCAmelCase_	   =       os.path.dirname(snake_case_      )
     UpperCAmelCase_	   =       os.path.basename(snake_case_      )

     UpperCAmelCase_	   =       onnx.load(os.path.join(snake_case_ ,   snake_case_      )      )

     UpperCAmelCase_	   =       list(model.graph.initializer      )

     UpperCAmelCase_	   =       set()
     UpperCAmelCase_	   =       {}
     UpperCAmelCase_	   =       []

     UpperCAmelCase_	   =       0

     for i in range(len(snake_case_      )      ):
          if i in dup_set:
               continue

          for j in range(i + 1 ,   len(snake_case_      )      ):
               if j in dup_set:
                    continue
               if _is_equal_tensor_proto(inits[i] ,   inits[j]      ):
                    dup_set.add(snake_case_      )
                    dup_set.add(snake_case_      )

                    UpperCAmelCase_	   =       inits[j].data_type
                    UpperCAmelCase_	   =       numpy.prod(inits[j].dims      )
                    if dtype == 1:
                         mem_size *= 4
                    elif dtype == 6:
                         mem_size *= 4
                    elif dtype == 7 or dtype == 11:
                         mem_size *= 8
                    else:
                         print("unexpected data type: " ,   snake_case_      )
                    total_reduced_size += mem_size

                    UpperCAmelCase_	   =       inits[i].name
                    UpperCAmelCase_	   =       inits[j].name

                    if name_i in dup_map:
                         dup_map[name_i].append(snake_case_      )
                    else:
                         UpperCAmelCase_	   =       [name_j]
                    ind_to_replace.append((j, i)      )

     print("total reduced size: " ,   total_reduced_size / 10_24 / 10_24 / 10_24 ,   "GB"      )

     UpperCAmelCase_	   =       sorted(snake_case_      )
     _remove_dup_initializers_from_model(snake_case_ ,   snake_case_ ,   snake_case_      )

     UpperCAmelCase_	   =       "optimized_" + model_file_name
     UpperCAmelCase_	   =       os.path.join(snake_case_ ,   snake_case_      )
     onnx.save(snake_case_ ,   snake_case_      )

     return new_model




