LCR 111. 除法求值
给定一个变量对数组 equations
和一个实数值数组 values
作为已知条件,其中 equations[i] = [Ai, Bi]
和 values[i]
共同表示等式 Ai / Bi = values[i]
。每个 Ai
或 Bi
是一个表示单个变量的字符串。
另有一些以数组 queries
表示的问题,其中 queries[j] = [Cj, Dj]
表示第 j
个问题,请你根据已知条件找出 Cj / Dj = ?
的结果作为答案。
返回 所有问题的答案 。如果存在某个无法确定的答案,则用 -1.0
替代这个答案。如果问题中出现了给定的已知条件中没有出现的字符串,也需要用 -1.0
替代这个答案。
注意:输入总是有效的。可以假设除法运算中不会出现除数为 0 的情况,且不存在任何矛盾的结果。
示例 1:
输入:equations = [["a","b"],["b","c"]], values = [2.0,3.0], queries = [["a","c"],["b","a"],["a","e"],["a","a"],["x","x"]]
输出:[6.00000,0.50000,-1.00000,1.00000,-1.00000]
解释:
条件:a / b = 2.0, b / c = 3.0
问题:a / c = ?, b / a = ?, a / e = ?, a / a = ?, x / x = ?
结果:[6.0, 0.5, -1.0, 1.0, -1.0 ]
示例 2:
输入:equations = [["a","b"],["b","c"],["bc","cd"]], values = [1.5,2.5,5.0], queries = [["a","c"],["c","b"],["bc","cd"],["cd","bc"]]
输出:[3.75000,0.40000,5.00000,0.20000]
示例 3:
输入:equations = [["a","b"]], values = [0.5], queries = [["a","b"],["b","a"],["a","c"],["x","y"]]
输出:[0.50000,2.00000,-1.00000,-1.00000]
提示:
1 <= equations.length <= 20
equations[i].length == 2
1 <= Ai.length, Bi.length <= 5
values.length == equations.length
0.0 < values[i] <= 20.0
1 <= queries.length <= 20
queries[i].length == 2
1 <= Cj.length, Dj.length <= 5
Ai, Bi, Cj, Dj
由小写英文字母与数字组成
class Solution {
Map<String, Map<String, Double>> nodesEdges = new HashMap<String, Map<String, Double>>();
public double[] calcEquation(List<List<String>> equations, double[] values, List<List<String>> queries) {
int edgesCount = equations.size();
for (int i = 0; i < edgesCount; i++) {
List<String> equation = equations.get(i);
double value = values[i];
String node0 = equation.get(0), node1 = equation.get(1);
nodesEdges.putIfAbsent(node0, new HashMap<String, Double>());
nodesEdges.get(node0).put(node1, value);
nodesEdges.putIfAbsent(node1, new HashMap<String, Double>());
nodesEdges.get(node1).put(node0, 1.0 / value);
}
int queriesCount = queries.size();
double[] answer = new double[queriesCount];
for (int i = 0; i < queriesCount; i++) {
String start = queries.get(i).get(0), end = queries.get(i).get(1);
answer[i] = nodesEdges.containsKey(start) && nodesEdges.containsKey(end) ? bfs(start, end) : -1.0;
}
return answer;
}
public double bfs(String start, String end) {
double queryValue = -1.0;
Set<String> visited = new HashSet<String>();
Queue<String> nodeQueue = new ArrayDeque<String>();
Queue<Double> valueQueue = new ArrayDeque<Double>();
visited.add(start);
nodeQueue.offer(start);
valueQueue.offer(1.0);
while (queryValue < 0 && !nodeQueue.isEmpty()) {
String node = nodeQueue.poll();
double value = valueQueue.poll();
if (node.equals(end)) {
queryValue = value;
} else {
Map<String, Double> adjacent = nodesEdges.getOrDefault(node, new HashMap<String, Double>());
Set<Map.Entry<String, Double>> entries = adjacent.entrySet();
for (Map.Entry<String, Double> entry : entries) {
String nextNode = entry.getKey();
double nextValue = entry.getValue();
if (visited.add(nextNode)) {
nodeQueue.offer(nextNode);
valueQueue.offer(value * nextValue);
}
}
}
}
return queryValue;
}
}