|
| 1 | +# Time: O(n) |
| 2 | +# Space: O(n) |
| 3 | + |
| 4 | +import collections |
| 5 | + |
| 6 | + |
| 7 | +class Solution(object): |
| 8 | + def minTime(self, n, edges, hasApple): |
| 9 | + """ |
| 10 | + :type n: int |
| 11 | + :type edges: List[List[int]] |
| 12 | + :type hasApple: List[bool] |
| 13 | + :rtype: int |
| 14 | + """ |
| 15 | + graph = collections.defaultdict(list) |
| 16 | + for u, v in edges: |
| 17 | + graph[u].append(v) |
| 18 | + graph[v].append(u) |
| 19 | + |
| 20 | + result = [0, 0] |
| 21 | + s = [(1, (-1, 0, result))] |
| 22 | + while s: |
| 23 | + step, params = s.pop() |
| 24 | + if step == 1: |
| 25 | + par, node, ret = params |
| 26 | + ret[:] = [0, int(hasApple[node])] |
| 27 | + for nei in reversed(graph[node]): |
| 28 | + if nei == par: |
| 29 | + continue |
| 30 | + new_ret = [0, 0] |
| 31 | + s.append((2, (new_ret, ret))) |
| 32 | + s.append((1, (node, nei, new_ret))) |
| 33 | + else: |
| 34 | + new_ret, ret = params |
| 35 | + ret[0] += new_ret[0]+new_ret[1] |
| 36 | + ret[1] |= bool(new_ret[0]+new_ret[1]) |
| 37 | + return 2*result[0] |
| 38 | + |
| 39 | + |
| 40 | +# Time: O(n) |
| 41 | +# Space: O(n) |
| 42 | +class Solution_Recu(object): |
| 43 | + def minTime(self, n, edges, hasApple): |
| 44 | + """ |
| 45 | + :type n: int |
| 46 | + :type edges: List[List[int]] |
| 47 | + :type hasApple: List[bool] |
| 48 | + :rtype: int |
| 49 | + """ |
| 50 | + def dfs(graph, par, node, hasApple): |
| 51 | + result, extra = 0, int(hasApple[node]) |
| 52 | + for nei in graph[node]: |
| 53 | + if nei == par: |
| 54 | + continue |
| 55 | + count, found = dfs(graph, node, nei, hasApple) |
| 56 | + result += count+found |
| 57 | + extra |= bool(count+found) |
| 58 | + return result, extra |
| 59 | + |
| 60 | + graph = collections.defaultdict(list) |
| 61 | + for u, v in edges: |
| 62 | + graph[u].append(v) |
| 63 | + graph[v].append(u) |
| 64 | + return 2*dfs(graph, -1, 0, hasApple)[0] |
| 65 | + |
| 66 | + |
| 67 | +# Time: O(n) |
| 68 | +# Space: O(n) |
| 69 | +class Solution2(object): |
| 70 | + def minTime(self, n, edges, hasApple): |
| 71 | + """ |
| 72 | + :type n: int |
| 73 | + :type edges: List[List[int]] |
| 74 | + :type hasApple: List[bool] |
| 75 | + :rtype: int |
| 76 | + """ |
| 77 | + graph = collections.defaultdict(list) |
| 78 | + for u, v in edges: |
| 79 | + graph[u].append(v) |
| 80 | + graph[v].append(u) |
| 81 | + |
| 82 | + result = [0] |
| 83 | + s = [(1, (-1, 0, result))] |
| 84 | + while s: |
| 85 | + step, params = s.pop() |
| 86 | + if step == 1: |
| 87 | + par, node, ret = params |
| 88 | + tmp = [int(hasApple[node])] |
| 89 | + s.append((3, (tmp, ret))) |
| 90 | + for nei in reversed(graph[node]): |
| 91 | + if nei == par: |
| 92 | + continue |
| 93 | + new_ret = [0] |
| 94 | + s.append((2, (new_ret, tmp, ret))) |
| 95 | + s.append((1, (node, nei, new_ret))) |
| 96 | + elif step == 2: |
| 97 | + new_ret, tmp, ret = params |
| 98 | + ret[0] += new_ret[0] |
| 99 | + tmp[0] |= bool(new_ret[0]) |
| 100 | + else: |
| 101 | + tmp, ret = params |
| 102 | + ret[0] += tmp[0] |
| 103 | + return 2*max(result[0]-1, 0) |
| 104 | + |
| 105 | + |
| 106 | +# Time: O(n) |
| 107 | +# Space: O(n) |
| 108 | +class Solution2_Recu(object): |
| 109 | + def minTime(self, n, edges, hasApple): |
| 110 | + """ |
| 111 | + :type n: int |
| 112 | + :type edges: List[List[int]] |
| 113 | + :type hasApple: List[bool] |
| 114 | + :rtype: int |
| 115 | + """ |
| 116 | + def dfs(graph, par, node, has_subtree): |
| 117 | + result, extra = 0, int(hasApple[node]) |
| 118 | + for nei in graph[node]: |
| 119 | + if nei == par: |
| 120 | + continue |
| 121 | + count = dfs(graph, node, nei, hasApple) |
| 122 | + result += count |
| 123 | + extra |= bool(count) |
| 124 | + return result+extra |
| 125 | + |
| 126 | + graph = collections.defaultdict(list) |
| 127 | + for u, v in edges: |
| 128 | + graph[u].append(v) |
| 129 | + graph[v].append(u) |
| 130 | + return 2*max(dfs(graph, -1, 0, hasApple)-1, 0) |
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