結果
問題 | No.1269 I hate Fibonacci Number |
ユーザー | snrnsidy |
提出日時 | 2021-06-14 00:14:53 |
言語 | C++17 (gcc 12.3.0 + boost 1.83.0) |
結果 |
WA
|
実行時間 | - |
コード長 | 7,596 bytes |
コンパイル時間 | 2,240 ms |
コンパイル使用メモリ | 215,328 KB |
実行使用メモリ | 42,880 KB |
最終ジャッジ日時 | 2024-06-06 04:09:39 |
合計ジャッジ時間 | 4,071 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge5 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
---|---|---|
testcase_00 | AC | 2 ms
5,248 KB |
testcase_01 | AC | 2 ms
5,376 KB |
testcase_02 | AC | 3 ms
5,376 KB |
testcase_03 | AC | 2 ms
5,376 KB |
testcase_04 | AC | 2 ms
5,376 KB |
testcase_05 | AC | 2 ms
5,376 KB |
testcase_06 | AC | 2 ms
5,376 KB |
testcase_07 | AC | 2 ms
5,376 KB |
testcase_08 | AC | 2 ms
5,376 KB |
testcase_09 | AC | 1 ms
5,376 KB |
testcase_10 | AC | 2 ms
5,376 KB |
testcase_11 | AC | 2 ms
5,376 KB |
testcase_12 | AC | 2 ms
5,376 KB |
testcase_13 | AC | 43 ms
26,496 KB |
testcase_14 | AC | 59 ms
32,896 KB |
testcase_15 | AC | 15 ms
13,568 KB |
testcase_16 | AC | 40 ms
21,120 KB |
testcase_17 | AC | 3 ms
5,376 KB |
testcase_18 | AC | 46 ms
24,448 KB |
testcase_19 | AC | 42 ms
27,136 KB |
testcase_20 | AC | 13 ms
10,496 KB |
testcase_21 | AC | 30 ms
17,024 KB |
testcase_22 | AC | 29 ms
18,816 KB |
testcase_23 | AC | 35 ms
23,040 KB |
testcase_24 | AC | 14 ms
9,216 KB |
testcase_25 | AC | 24 ms
17,024 KB |
testcase_26 | AC | 4 ms
5,376 KB |
testcase_27 | WA | - |
testcase_28 | AC | 7 ms
6,400 KB |
testcase_29 | AC | 34 ms
26,240 KB |
testcase_30 | AC | 19 ms
18,432 KB |
testcase_31 | AC | 61 ms
28,800 KB |
testcase_32 | AC | 18 ms
11,520 KB |
testcase_33 | AC | 105 ms
42,880 KB |
testcase_34 | WA | - |
testcase_35 | AC | 26 ms
24,064 KB |
testcase_36 | AC | 2 ms
5,376 KB |
testcase_37 | AC | 2 ms
5,376 KB |
testcase_38 | AC | 2 ms
5,376 KB |
ソースコード
#include <bits/stdc++.h> using namespace std; template<char MIN_CHAR = 'a', int ALPHABET = 26> struct AhoCorasick { struct node { // suff = the index of the node of the longest strict suffix of the current node that's also in the tree. // Also see "blue arcs" on Wikipedia: https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm // dict = the index of the node of the longest strict suffix of the current node that's in the word list. // Also see "green arcs" on Wikipedia. // depth = normal trie depth (root is 0). Can be removed to save memory. // word_index = the index of the *first* word ending at this node. -1 if none. // word_count = the total number of words ending at this node. Used in count_total_matches(). // link = the trie connections and/or suffix connections from this node. int suff = -1, dict = -1, depth = 0; int word_index = -1, word_count = 0; int link[ALPHABET]; node() { fill(link, link + ALPHABET, -1); } int& operator[](char c) { return link[c - MIN_CHAR]; } }; vector<node> nodes; int W; vector<int> word_location; vector<int> word_indices_by_depth; vector<int> defer; AhoCorasick(const vector<string>& words = {}) { if (!words.empty()) build(words); } // Builds the adj list based on suffix parents. Often we want to perform DP and/or queries on this tree. vector<vector<int>> build_suffix_adj() const { vector<vector<int>> adj(nodes.size()); for (int i = 1; i < int(nodes.size()); i++) adj[nodes[i].suff].push_back(i); return adj; } int get_or_add_child(int current, char c) { if (nodes[current][c] >= 0) return nodes[current][c]; int index = int(nodes.size()); nodes[current][c] = index; nodes.emplace_back(); nodes.back().depth = nodes[current].depth + 1; return index; } int add_word(const string& word, int word_index) { assert(!nodes.empty()); int current = 0; for (char c : word) current = get_or_add_child(current, c); if (nodes[current].word_index < 0) nodes[current].word_index = word_index; nodes[current].word_count++; return current; } // Returns where in the trie we should end up after starting at `location` and adding char `c`. Runs in O(1). int get_suffix_link(int location, char c) const { if (location >= 0) location = nodes[location].link[c - MIN_CHAR]; return max(location, 0); } void build(const vector<string>& words) { nodes = { node() }; W = int(words.size()); word_location.resize(W); defer.resize(W); int max_depth = 0; for (int i = 0; i < W; i++) { word_location[i] = add_word(words[i], i); max_depth = max(max_depth, int(words[i].size())); defer[i] = nodes[word_location[i]].word_index; } // Create a list of word indices in decreasing order of depth, in linear time via counting sort. word_indices_by_depth.resize(W); vector<int> depth_freq(max_depth + 1, 0); for (int i = 0; i < W; i++) depth_freq[words[i].size()]++; for (int i = max_depth - 1; i >= 0; i--) depth_freq[i] += depth_freq[i + 1]; for (int i = 0; i < W; i++) word_indices_by_depth[--depth_freq[words[i].size()]] = i; // Solve suffix parents by traversing in order of depth (BFS order). vector<int> q = { 0 }; for (int i = 0; i < int(q.size()); i++) { int current = q[i]; for (char c = MIN_CHAR; c < MIN_CHAR + ALPHABET; c++) { int& index = nodes[current][c]; if (index >= 0) { // Find index's suffix parent by traversing suffix parents of current until one of them has a child c. int suffix_parent = get_suffix_link(nodes[current].suff, c); nodes[index].suff = suffix_parent; nodes[index].word_count += nodes[suffix_parent].word_count; nodes[index].dict = nodes[suffix_parent].word_index < 0 ? nodes[suffix_parent].dict : suffix_parent; q.push_back(index); } else { index = get_suffix_link(nodes[current].suff, c); } } } } // Counts the number of matches of each word in O(text length + num words). vector<int> count_matches(const string& text) const { vector<int> matches(W, 0); int current = 0; for (char c : text) { current = get_suffix_link(current, c); int dict_node = nodes[current].word_index < 0 ? nodes[current].dict : current; if (dict_node >= 0) matches[nodes[dict_node].word_index]++; } // Iterate in decreasing order of depth. for (int word_index : word_indices_by_depth) { int location = word_location[word_index]; int dict_node = nodes[location].dict; if (dict_node >= 0) matches[nodes[dict_node].word_index] += matches[word_index]; } for (int i = 0; i < W; i++) matches[i] = matches[defer[i]]; return matches; } // Counts the number of matches over all words at each ending position in `text` in O(text length). vector<int> count_matches_by_position(const string& text) const { vector<int> matches(text.size()); int current = 0; for (int i = 0; i < int(text.size()); i++) { current = get_suffix_link(current, text[i]); matches[i] = nodes[current].word_count; } return matches; } // Counts the total number of matches of all words within `text` in O(text length). int64_t count_total_matches(const string& text) const { int64_t matches = 0; int current = 0; for (char c : text) { current = get_suffix_link(current, c); matches += nodes[current].word_count; } return matches; } }; const long long int MOD = 1e9 + 7; long long int dp[5005][1005]; int main(void) { cin.tie(0); ios::sync_with_stdio(false); long long int n, L, R; vector <string> v; cin >> n >> L >> R; long long int f0 = 1; long long int f1 = 1; while (f0 <= R) { if (f0 >= L) { stringstream ss; ss << f0; v.push_back(ss.str()); } long long int temp = f0 + f1; f1 = f0; f0 = temp; } AhoCorasick<'0', 10> aho(v); dp[0][0] = 1; for (int i = 0; i < n; i++) { for (int state = 0; state < aho.nodes.size(); state++) { for (int j = 0; j < 10; j++) { int nextstate = aho.get_suffix_link(state, '0' + j); if (aho.nodes[nextstate].word_count == 0) { dp[i + 1][nextstate] += dp[i][state]; dp[i + 1][nextstate] %= MOD; } } } } long long int res = 0; for (int state = 0; state < aho.nodes.size(); state++) { res += dp[n][state]; res %= MOD; } res -= 1; if (res < 0) { res += MOD; } cout << res << '\n'; return 0; }