Description
Equations are given in the format A / B = k, where A and B are variables represented as strings, and k is a real number (floating point number). Given some queries, return the answers. If the answer does not exist, return -1.0.
Have you met this question in a real interview?
Example
Given a / b = 2.0, b / c = 3.0.
queries are: a / c = ?, b / a = ?, a / e = ?, a / a = ?, x / x = ? .
return [6.0, 0.5, -1.0, 1.0, -1.0 ].
The input is: vector<pair<string, string>> equations,
vector<double>& values,
vector<pair<string, string>> queries ,
where equations.size() == values.size(), and the values are positive.
This represents the equations. Return vector<double>.
According to the example above:
equations = [ ["a", "b"], ["b", "c"] ],
values = [2.0, 3.0],
queries = [ ["a", "c"], ["b", "a"], ["a", "e"], ["a", "a"], ["x", "x"] ].
Graph + DFS
Code (Java):
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | public class Solution { /** * @param equations: * @param values: * @param queries: * @return: return a double type array */ public double [] calcEquation(List<List<String>> equations, double [] values, List<List<String>> queries) { // write your code here double [] ans = new double [queries.size()]; if (equations == null || equations.size() == 0 || values == null || values.length == 0 ) { return ans; } // build the graph Map<String, List<Node>> adjList = new HashMap<>(); for ( int i = 0 ; i < equations.size(); i++) { List<String> equation = equations.get(i); double value = values[i]; String n1 = equation.get( 0 ); String n2 = equation.get( 1 ); // n1->n2 List<Node> neighbors = adjList.getOrDefault(n1, new ArrayList<>()); neighbors.add( new Node(n2, value)); adjList.put(n1, neighbors); // n2->n1 List<Node> neighbors2 = adjList.getOrDefault(n2, new ArrayList<>()); neighbors2.add( new Node(n1, 1.0 / value)); adjList.put(n2, neighbors2); } // dfs to find the answer for ( int i = 0 ; i < queries.size(); i++) { List<String> query = queries.get(i); String n1 = query.get( 0 ); String n2 = query.get( 1 ); if (!adjList.containsKey(n1) || !adjList.containsKey(n2)) { ans[i] = - 1.0 ; } else if (n1.equals(n2)) { ans[i] = 1.0 ; } else { Set<String> visited = new HashSet<>(); RetVal retval = dfs(n1, n2, adjList, 1.0 , visited); if (retval.found) { ans[i] = retval.val; } else { ans[i]= - 1.0 ; } } } return ans; } private RetVal dfs(String start, String end, Map<String, List<Node>> adjList, double val, Set<String> visited) { RetVal retval = new RetVal( false , - 1.0 ); visited.add(start); if (start.equals(end)) { return new RetVal( true , val); } List<Node> neighbors = adjList.get(start); for (Node neighbor: neighbors) { if (visited.contains(neighbor.label)) { continue ; } retval = dfs(neighbor.label, end, adjList, val * neighbor.val, visited); if (retval.found) { return retval; } } visited.remove(start); return retval; } } class Node { String label; double val; public Node (String label, double val) { this .label = label; this .val = val; } } class RetVal { boolean found; double val; public RetVal ( boolean found, double val) { this .found = found; this .val = val; } } |
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