a03954e6c5
Reviewed-by: kvn, thartmann, epeter, chagedorn
222 lines
6.2 KiB
Java
222 lines
6.2 KiB
Java
/*
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* Copyright (c) 2022, 2023, Arm Limited. All rights reserved.
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* Copyright (c) 2023, Oracle and/or its affiliates. All rights reserved.
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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*
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* This code is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License version 2 only, as
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* published by the Free Software Foundation.
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*
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* This code is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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* version 2 for more details (a copy is included in the LICENSE file that
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* accompanied this code).
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*
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* You should have received a copy of the GNU General Public License version
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* 2 along with this work; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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*
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* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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* or visit www.oracle.com if you need additional information or have any
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* questions.
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*/
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/*
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* @test
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* @summary Vectorization test on different loop ranges and strides
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* @library /test/lib /
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*
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* @build jdk.test.whitebox.WhiteBox
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* compiler.vectorization.runner.VectorizationTestRunner
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*
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* @run driver jdk.test.lib.helpers.ClassFileInstaller jdk.test.whitebox.WhiteBox
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* @run main/othervm -Xbootclasspath/a:.
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* -XX:+UnlockDiagnosticVMOptions
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* -XX:+WhiteBoxAPI
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* compiler.vectorization.runner.LoopRangeStrideTest
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*
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* @requires (os.simpleArch == "x64") | (os.simpleArch == "aarch64")
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* @requires vm.compiler2.enabled
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*/
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package compiler.vectorization.runner;
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import compiler.lib.ir_framework.*;
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import java.util.Random;
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public class LoopRangeStrideTest extends VectorizationTestRunner {
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private static final int SIZE = 543;
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private int[] a;
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private int[] b;
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private int start;
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private int end;
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public LoopRangeStrideTest() {
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a = new int[SIZE];
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b = new int[SIZE];
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for (int i = 0; i < SIZE; i++) {
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a[i] = -i / 2;
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b[i] = 444 * i - 12345;
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}
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Random ran = new Random(0);
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start = Math.abs(ran.nextInt() % 100);
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end = start + 315;
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}
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// ---------------- Range ----------------
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@Test
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public int[] smallConstantRange() {
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int[] res = new int[SIZE];
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for (int i = 20; i < 27; i++) {
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res[i] = a[i] + b[i];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] nonConstantRange() {
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int[] res = new int[SIZE];
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for (int i = start; i < end; i++) {
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res[i] = a[i] - b[i];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] crossZeroRange() {
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int[] res = new int[SIZE];
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for (int i = -20; i < 20; i++) {
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res[i + 50] = a[i + 50] + b[i + 50];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] nonEqualTestRange() {
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int[] res = new int[SIZE];
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for (int i = start; i != end; i++) {
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res[i] = a[i] - b[i];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse4.1", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] shortInductionLoop() {
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int[] res = new int[SIZE];
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for (short s = 123; s < 456; s++) {
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res[s] = a[s] * b[s];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] whileLoop() {
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int[] res = new int[SIZE];
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int i = start;
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while (i < end) {
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res[i] = a[i] & b[i];
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i++;
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse2", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] doWhileLoop() {
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int[] res = new int[SIZE];
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int i = start;
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do {
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res[i] = a[i] | b[i];
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i++;
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} while (i < end);
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return res;
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}
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// ---------------- Stride ----------------
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@Test
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public int[] stride2Loop() {
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int[] res = new int[SIZE];
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for (int i = 0; i < SIZE; i += 2) {
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res[i] = a[i] * b[i];
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}
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return res;
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}
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@Test
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public int[] stride3Loop() {
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int[] res = new int[SIZE];
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for (int i = 0; i < SIZE; i += 3) {
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res[i] = a[i] * b[i];
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}
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return res;
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}
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@Test
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public int[] stride4Loop() {
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int[] res = new int[SIZE];
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for (int i = 0; i < SIZE; i += 4) {
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res[i] = a[i] * b[i];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse4.1", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] countDownLoop() {
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int[] res = new int[SIZE];
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for (int i = SIZE - 1; i > 0; i--) {
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res[i] = a[i] * b[i];
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}
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return res;
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}
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@Test
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public int[] strideMinus2Loop() {
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int[] res = new int[SIZE];
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for (int i = SIZE - 1; i > 0; i -= 2) {
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res[i] = a[i] * b[i];
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}
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return res;
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}
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// ---------- Stride with scale ----------
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse4.1", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] countupLoopWithNegScale() {
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int[] res = new int[SIZE];
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for (int i = SIZE / 2; i < SIZE; i++) {
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res[SIZE - i] = a[SIZE - i] * b[SIZE - i];
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}
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return res;
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"asimd", "true", "sse4.1", "true"},
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counts = {IRNode.STORE_VECTOR, ">0"})
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public int[] countDownLoopWithNegScale() {
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int[] res = new int[SIZE];
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for (int i = SIZE / 2; i > 0; i--) {
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res[SIZE - i] = a[SIZE - i] * b[SIZE - i];
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}
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return res;
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}
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}
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