Example 1: c code to python code converter online
// Defining MAX size to 10
using namespace std;
typedef struct Edge
{
int source;
int destination;
int weight;
}Edge;
void bellman_ford_algo(int nodevertex,Edge edge[],int source_graph,int nodeedge)
{
int u,v,weight,i,j=0;
int distance[MAX];
for(i=0;i<nodevertex;i++)
{
distance[i]=999;
}
// distance of source vertex
distance[source_graph]=0;
// free all the edges nodevertex - 1 times
for(i=0;i<nodevertex-1;i++)
{
for(j=0;j<nodeedge;j++)
{
u=edge[j].source;
v=edge[j].destination;
weight=edge[j].weight;
if(distance[u]!=999 && distance[u]+weight < distance[v])
{
distance[v]=distance[u]+weight;
}
}
}
// checking for negative cycle
for(j=0;j<nodeedge;j++)
{
u=edge[j].source;
v=edge[j].destination;
weight=edge[j].weight;
if(distance[u]+weight < distance[v])
{
cout<<"\n\nNegative Cycle present..!!\n";
return;
}
}
cout<<"\nVertex"<<" Distance from source";
for(i=1;i<=nodevertex;i++)
{
cout<<"\n"<<i<<"\t"<<distance[i];
}
}
int main()
{
int nodevertex,nodeedge,source_graph;
Edge edge[MAX];
cout<<"Enter the number of vertices you want : ";
cin>>nodevertex;
printf("Enter the source vertex of the graph: ");
cin>>source_graph;
cout<<"\nEnter no. of edges you want : ";
cin>>nodeedge;
for(int i=0;i<nodeedge;i++)
{
cout<<"\nEdge Number "<<i+1<<"=";
cout<<"\nEnter source vertex here :";
cin>>edge[i].source;
cout<<"Enter destination vertex here:";
cin>>edge[i].destination;
cout<<"Enter weight here :";
cin>>edge[i].weight;
}
bellman_ford_algo(nodevertex,edge,source_graph,nodeedge);
return 0;
}
Example 2: convert python code to c online
def main():
csr_values = [2, 3, 1, 4,5]
col_idx = [1, 2, 0, 1,1]
row_ptr = [0, 2, 4,5]
csr_matrix = [
csr_values,
col_idx,
row_ptr
]
dense_matrix = [
[0, 3, 0],
[1, 4, 5],
[2, 0, 0],
]
res = [
[0, 0, 0],
[0, 0, 0],
[0, 0, 0],
]
n = len(dense_matrix)
csr_row = 0
for i in range(n):
start, end = row_ptr[i], row_ptr[i + 1]
for j in range(start, end):
col, csr_value = col_idx[j], csr_values[j]
for k in range(n):
dense_value = dense_matrix[k][csr_row]
res[k][col] += csr_value * dense_value
csr_row += 1
print(res)
if __name__ == '__main__':
main()