c code to python code converter online code example

Example 1: c code to python code converter online

#include
// Defining MAX size to 10
#define MAX 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;


  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>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: c code to python code converter online

#include
 using namespace std;
 #include
 int has1[26],has2[26];
  int main()
   {
    int n;
      cin>>n;
        char ff[n+10],ss[n+10];
          for(int i=0;i>ff[i];
               has1[ff[i]-'a']++;
          }
            for(int i=0;i>ss[i];
                  has2[ss[i]-'a']++;
            }
            sort(ff,ff+n/2);
              sort(ss,ss+n/2);
              //case 1
               int ans1=0,ans2=0,ans3=0;
              for(int i=0;i<26;i++)
              {
                  ans1+=abs(has1[i]-has2[i]);
                //    cout<<"i " <

def main():
  # 4 x 4 csr matrix
  #    [1, 0, 0, 0],
  #    [2, 0, 3, 0],
  #    [0, 0, 0, 0],
  #    [0, 4, 0, 0],
  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],
      ]

  # matrix order, assumes both matrices are square
  n = len(dense_matrix)

  # res = dense X csr
  csr_row = 0 # Current row in CSR matrix
  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()