You are given an array of variable pairs equations
and an array of real numbers values
, where equations[i] = [Ai, Bi]
and values[i]
represent the equation Ai / Bi = values[i]
. Each Ai
or Bi
is a string that represents a single variable.
You are also given some queries
, where queries[j] = [Cj, Dj]
represents the jth
query where you must find the answer for Cj / Dj = ?
.
Return the answers to all queries. If a single answer cannot be determined, return -1.0
.
Note: The input is always valid. You may assume that evaluating the queries will not result in division by zero and that there is no contradiction.
Example 1:
Input: equations = [["a","b"],["b","c"]], values = [2.0,3.0], queries = [["a","c"],["b","a"],["a","e"],["a","a"],["x","x"]] Output: [6.00000,0.50000,-1.00000,1.00000,-1.00000] Explanation: 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 ]
Example 2:
Input: equations = [["a","b"],["b","c"],["bc","cd"]], values = [1.5,2.5,5.0], queries = [["a","c"],["c","b"],["bc","cd"],["cd","bc"]] Output: [3.75000,0.40000,5.00000,0.20000]
Example 3:
Input: equations = [["a","b"]], values = [0.5], queries = [["a","b"],["b","a"],["a","c"],["x","y"]] Output: [0.50000,2.00000,-1.00000,-1.00000]
Constraints:
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
consist of lower case English letters and digits.
Ideas: T: O(m * n) m = len(quations), n = len(queries) S: O(m)
note:
equations: [["a","b"],["b","c"],["bc","cd"]]
values: [2.0,3.0, 3.0]
queries: [["a","c"],["b","a"],["a","e"],["a","a"],["x","x"], ["ba","ad"], ["b","d"]]
should return [6.00000,0.50000,-1.00000,1.00000,-1.00000,-1.00000,-1.00000]
1. helper function : 将equation 和values转换为graph
2. dfs function: 从start -> target 找path,然后将edge 相乘,如果不能找到,返回-1
3. for loop, each query append ans
Code:
class Solution: def calcEquation(self, equations: List[List[str]], values: List[float], queries: List[List[str]]) -> List[float]: graph = self.generateGraph(equations, values) ans = [] for d_e, div in queries: if div not in graph or d_e not in graph: res = -1.0 elif div == d_e: res = 1 else: visited = set() res = self.dfs(d_e, div, 1, visited, graph) ans.append(res) return ans def generateGraph(self, equations, values): graph = collections.defaultdict(collections.defaultdict) for (d_e, di), val in zip(equations, values): graph[d_e][di] = val graph[di][d_e] = 1/val return graph def dfs(self, cur, targ, cur_res, visited, graph): visited.add(cur) res = -1.0 neigs = graph[cur] if targ in neigs: res = cur_res * neigs[targ] else: for neig, val in neigs.items(): if neig in visited: continue res = self.dfs(neig, targ, cur_res * val, visited, graph) if res != -1: break return res
[LeetCode] 399. Evaluate Division_Medium tag: DFS
原文:https://www.cnblogs.com/Johnsonxiong/p/15159376.html