


'''simple docstring'''




class 		UpperCAmelCase_      :





     def __init__( self       :      List[Any]    )				->  Any:
        lowerCAmelCase     =			{}





     def 							__UpperCAmelCase      ( self       :      Any    )				->  None:
        print(self.vertex    )
        for i in self.vertex:
           print(UpperCAmelCase__    ,      ' -> '    ,      ' -> '.join([str(UpperCAmelCase__    ) for j in self.vertex[i]]    )    )





     def 							__UpperCAmelCase      ( self       :      int    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      int    )				->  None:
        # check if vertex is already present,
        if from_vertex in self.vertex:
           self.vertex[from_vertex].append(UpperCAmelCase__    )
        else:
           # else make a new vertex
           lowerCAmelCase     =			[to_vertex]





     def 							__UpperCAmelCase      ( self       :      List[Any]    )				->  None:
        # visited array for storing already visited nodes
        lowerCAmelCase     =			[False] * len(self.vertex    )

        # call the recursive helper function
        for i in range(len(self.vertex    )    ):
           if not visited[i]:
              self.dfs_recursive(UpperCAmelCase__    ,      UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      list    )				->  None:
        # mark start vertex as visited
        lowerCAmelCase     =			True

        print(UpperCAmelCase__    ,      end=' '    )

        # Recur for all the vertices that are adjacent to this node
        for i in self.vertex:
           if not visited[i]:
              self.dfs_recursive(UpperCAmelCase__    ,      UpperCAmelCase__    )


if __name__ == "__main__":
       __snake_case    						=Graph()
       g.add_edge(0, 1)
       g.add_edge(0, 2)
       g.add_edge(1, 2)
       g.add_edge(2, 0)
       g.add_edge(2, 3)
       g.add_edge(3, 3)

       g.print_graph()
       print("""DFS:""")
       g.dfs()

       # OUTPUT:
       # 0  ->  1 -> 2
       # 1  ->  2
       # 2  ->  0 -> 3
       # 3  ->  3
       # DFS:
       #  0 1 2 3








import os

import numpy
import onnx





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    a.name
							snake_case_							=    b.name

							snake_case_							=    ''
							snake_case_							=    ''

							snake_case_							=    a == b

							snake_case_							=    name_a
							snake_case_							=    name_b

							return res





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






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

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





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






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





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    list(model.graph.initializer      )
							snake_case_							=    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

														snake_case_							=    inits[i].name
														snake_case_							=    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   ,							UpperCamelCase__   ,							UpperCamelCase__      )





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






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

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

							snake_case_							=    list(model.graph.initializer      )

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

							snake_case_							=    0

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

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

																												snake_case_							=    inits[j].data_type
																												snake_case_							=    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: '   ,							UpperCamelCase__      )
																												total_reduced_size += mem_size

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

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

							print('total reduced size: '   ,							total_reduced_size / 1024 / 1024 / 1024   ,							'GB'      )

							snake_case_							=    sorted(UpperCamelCase__      )
							_remove_dup_initializers_from_model(UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      )

							snake_case_							=    'optimized_' + model_file_name
							snake_case_							=    os.path.join(UpperCamelCase__   ,							UpperCamelCase__      )
							onnx.save(UpperCamelCase__   ,							UpperCamelCase__      )

							return new_model




