結果
問題 | No.1226 I hate Robot Arms |
ユーザー | yakamoto |
提出日時 | 2020-09-12 19:20:20 |
言語 | Kotlin (1.9.23) |
結果 |
TLE
|
実行時間 | - |
コード長 | 7,908 bytes |
コンパイル時間 | 21,459 ms |
コンパイル使用メモリ | 476,584 KB |
実行使用メモリ | 168,984 KB |
最終ジャッジ日時 | 2024-06-10 18:20:28 |
合計ジャッジ時間 | 77,713 ms |
ジャッジサーバーID (参考情報) |
judge1 / judge4 |
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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 | 342 ms
58,824 KB |
testcase_01 | AC | 337 ms
60,848 KB |
testcase_02 | AC | 1,548 ms
115,864 KB |
testcase_03 | AC | 1,590 ms
118,352 KB |
testcase_04 | AC | 1,594 ms
153,768 KB |
testcase_05 | AC | 1,687 ms
159,356 KB |
testcase_06 | TLE | - |
testcase_07 | AC | 1,420 ms
112,240 KB |
testcase_08 | AC | 1,075 ms
153,124 KB |
testcase_09 | TLE | - |
testcase_10 | AC | 889 ms
102,140 KB |
testcase_11 | AC | 1,831 ms
156,976 KB |
testcase_12 | AC | 1,299 ms
125,016 KB |
testcase_13 | AC | 1,356 ms
157,308 KB |
testcase_14 | TLE | - |
testcase_15 | AC | 908 ms
151,512 KB |
testcase_16 | TLE | - |
testcase_17 | AC | 1,422 ms
118,440 KB |
testcase_18 | AC | 1,131 ms
112,084 KB |
testcase_19 | AC | 1,798 ms
154,472 KB |
testcase_20 | AC | 1,714 ms
154,500 KB |
testcase_21 | AC | 1,995 ms
157,288 KB |
testcase_22 | TLE | - |
testcase_23 | TLE | - |
testcase_24 | TLE | - |
testcase_25 | TLE | - |
testcase_26 | TLE | - |
testcase_27 | TLE | - |
testcase_28 | TLE | - |
testcase_29 | TLE | - |
コンパイルメッセージ
Main.kt:12:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun vec(x: Double, y: Double) = ^ Main.kt:18:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun I(n: Int) = ^ Main.kt:25:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun reset(m: Mat) { ^ Main.kt:33:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun resetI(m: Mat) { ^ Main.kt:46:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun mulMat(a: Mat, b: Mat, c: Mat) { ^ Main.kt:68:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun plusMat(a: Mat, b: Mat) { ^ Main.kt:100:13: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun applyOperation(k: Int, x: Mat) { ^ Main.kt:106:13: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun push(k: Int) { ^ Main.kt:183:11: warning: expected performance impact from inlining is insignificant. Inlining works best for functions with parameters of functional types private inline fun rotate(d: Int): Mat { ^ Main.kt:191:11: warning: expected performance impact from inlining is insignificant. Inlining works best
ソースコード
import java.io.BufferedReader import java.io.InputStream import java.io.InputStreamReader import java.lang.AssertionError import java.util.* import kotlin.math.* typealias Mat = Array<DoubleArray> class Solver(stream: InputStream, private val out: java.io.PrintWriter) { private inline fun vec(x: Double, y: Double) = arrayOf( doubleArrayOf(x), doubleArrayOf(y) ) private inline fun I(n: Int) = Array(n) { val res = DoubleArray(n) res[it] = 1.0 res } private inline fun reset(m: Mat) { for (i in m.indices) { for (j in m[0].indices) { m[i][j] = 0.0 } } } private inline fun resetI(m: Mat) { for (i in m.indices) { for (j in m.indices) { m[i][j] = if (i == j) 1.0 else 0.0 } } } private val tmp = I(2) /** * c = a * b * 計算途中でaを書き換えるかもしれないのでtmpに一旦移す */ private inline fun mulMat(a: Mat, b: Mat, c: Mat) { val n = a.indices val m = b[0].indices for (i in n) { for (j in m) { var v = 0.0 for (k in a[0].indices) { v += a[i][k] * b[k][j] } tmp[i][j] = v } } for (i in n) { for (j in m) { c[i][j] = tmp[i][j] } } } /** * a += b */ private inline fun plusMat(a: Mat, b: Mat) { for (i in a.indices) { for (j in a[0].indices) { a[i][j] += b[i][j] } } } /** * vectorを合成、範囲のvectorにmatrixで変更を加える * matrixの計算は左右交換するとおかしくなるので、回転、拡大のような順序関係ない操作だけ行える */ private inner class VectorDelayMergeTree(n: Int, init: Array<Mat>) { private val N = if (Integer.highestOneBit(n) == n) n else Integer.highestOneBit(n) shl 1 private val value = Array(N * 2){vec(0.0, 0.0)} // vector private val delay = Array(N * 2){I(2)} // 遅延したmatrix演算 private val delayOn = BooleanArray(N * 2) // delayに値があるかどうか init { for (i in 0 until n) { value[N + i] = init[i] } for (i in N - 1 downTo 1) { plusMat(value[i], value[i*2]) plusMat(value[i], value[i*2 + 1]) } } private inline fun applyOperation(k: Int, x: Mat) { mulMat(x, value[k], value[k]) // valueはvectorなので MVの形になるように計算する mulMat(x, delay[k], delay[k]) delayOn[k] = true } private inline fun push(k: Int) { if (k < N && delayOn[k]) { applyOperation(k*2, delay[k]) applyOperation(k*2 + 1, delay[k]) resetI(delay[k]) delayOn[k] = false } } /** * [a, b) */ fun add(a: Int, b: Int, x: Mat, k: Int = 1, l: Int = 0, r: Int = N) { if (a >= r || l >= b) return // ノードが範囲からはずれてる if (a <= l && r <= b) { // ノードが完全に範囲に含まれる applyOperation(k, x) return } push(k) val m = (l + r) / 2 val lft = k * 2 val rgt = lft + 1 // value[k] = add(left) + add(right) add(a, b, x, lft, l, m) add(a, b, x, rgt, m, r) reset(value[k]) plusMat(value[k], value[lft]) plusMat(value[k], value[rgt]) } /** * [a, b) */ fun query(a: Int, b: Int, dest: Mat, k: Int = 1, l: Int = 0, r: Int = N) { if (a >= r || l >= b) return // ノードが範囲からはずれてる if (a <= l && r <= b) { // ノードが完全に範囲に含まれる plusMat(dest, value[k]) return } push(k) val m = (l + r) / 2 val lft = k * 2 val rgt = lft + 1 query(a, b, dest, lft, l, m) query(a, b, dest, rgt, m, r) } fun eval(i: Int): Mat { _eval(N + i) return value[N + i] } fun inspect() = run { Pair(value, delay) } fun _eval(k: Int) { if (k > 1) { _eval(k / 2) } push(k) } } private val reader = BufferedReader(InputStreamReader(stream), 32768) private val N = ni() private val Q = ni() private val deg = IntArray(N){0} private val len = LongArray(N){1} private val vec = run { val init = Array(N) {vec(1.0, 0.0)} VectorDelayMergeTree(N, init) } private inline fun rotate(d: Int): Mat { val t = d *PI*2 /360 return arrayOf( doubleArrayOf(cos(t), -sin(t)), doubleArrayOf(sin(t), cos(t)) ) } private inline fun enlarge(k: Double): Mat { return arrayOf( doubleArrayOf(k, 0.0), doubleArrayOf(0.0, k) ) } private inline fun debug(msg: String, mat: Mat) = run { debug{msg} debug{mat.map{it.joinToString(" ")}.joinToString("\n")} debug{""} } private inline fun point(i: Int): Mat { val mat = vec(0.0, 0.0) vec.query(0, i + 1, mat) debug("point $i", mat) return mat } fun solve() { inspect() for (q in 0 until Q) { when(ni()) { 0 -> { val i = ni() - 1 val x = ni() val m = rotate(x - deg[i]) vec.add(i, N, m) inspect() deg[i] = x } 1 -> { val i = ni() - 1 val x = nl() val mat = enlarge(x.toDouble()/len[i]) vec.add(i, i + 1, mat) inspect() len[i] = x } else -> { fun format(a: Double) = run{"%.9f".format(a)} val i = ni() - 1 val v = point(i) out.println("${format(v[0][0])} ${format(v[1][0])}") } } } } private inline fun inspect() { if (isDebug) { for (i in 1 until vec.inspect().first.size) { debug("inspec($i)", vec.inspect().first[i]) } } } private val isDebug = try { // なんか本番でエラーでる System.getenv("MY_DEBUG") != null } catch (t: Throwable) { false } private var tokenizer: StringTokenizer? = null private fun next(): String { while (tokenizer == null || !tokenizer!!.hasMoreTokens()) { tokenizer = StringTokenizer(reader.readLine()) } return tokenizer!!.nextToken() } private fun ni() = next().toInt() private fun nl() = next().toLong() private fun ns() = next() private fun na(n: Int, offset: Int = 0): IntArray { return IntArray(n) { ni() + offset } } private fun nal(n: Int, offset: Int = 0): LongArray { val res = LongArray(n) for (i in 0 until n) { res[i] = nl() + offset } return res } private fun na2(n: Int, offset: Int = 0): Array<IntArray> { val a = Array(2){IntArray(n)} for (i in 0 until n) { for (e in a) { e[i] = ni() + offset } } return a } private inline fun debug(msg: () -> String) { if (isDebug) System.err.println(msg()) } private inline fun debug(a: LongArray) { debug { a.joinToString(" ") } } private inline fun debug(a: IntArray) { debug { a.joinToString(" ") } } private inline fun debug(a: BooleanArray) { debug { toString(a) } } private inline fun toString(a: BooleanArray) = run{a.map { if (it) 1 else 0 }.joinToString("")} private inline fun debugDim(A: Array<LongArray>) { if (isDebug) { for (a in A) { debug(a) } } } private inline fun debugDim(A: Array<IntArray>) { if (isDebug) { for (a in A) { debug(a) } } } private inline fun debugDim(A: Array<BooleanArray>) { if (isDebug) { for (a in A) { debug(a) } } } /** * 勝手にimport消されるのを防ぎたい */ private fun hoge() { min(1, 2) max(1, 2) abs(-10) } private inline fun assert(b: Boolean) = run{if (!b) throw AssertionError()} } fun main() { val out = java.io.PrintWriter(System.out) Solver(System.`in`, out).solve() out.flush() }