Authors: russell@unturf.com · brackishbert@gmail.com · foxhop.net · TimeHexOn.com Patches, unit tests, benchmarks, whitepaper, and outreach briefs. Public domain — no copyright claimed. Use freely.
206 lines
8.5 KiB
Java
206 lines
8.5 KiB
Java
/*
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* Copyright (c) 2024, 2025, 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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package compiler.c2.irTests;
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import jdk.test.lib.Asserts;
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import compiler.lib.ir_framework.*;
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import java.util.Random;
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import jdk.test.lib.Utils;
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/*
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* @test
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* @bug 8341781
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* @summary Test identities of MinNodes and MaxNodes.
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* @key randomness
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* @library /test/lib /
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* @run driver compiler.c2.irTests.TestMinMaxIdentities
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*/
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public class TestMinMaxIdentities {
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private static final Random RANDOM = Utils.getRandomInstance();
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public static void main(String[] args) {
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TestFramework.run();
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}
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@Run(test = { "intMinMin", "intMinMax", "intMaxMin", "intMaxMax",
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"longMinMin", "longMinMax", "longMaxMin", "longMaxMax",
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"floatMinMin", "floatMaxMax", "doubleMinMin", "doubleMaxMax",
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"floatMinMax", "floatMaxMin", "doubleMinMax", "doubleMaxMin" })
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public void runMethod() {
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assertResult(10, 20, 10L, 20L, 10.f, 20.f, 10.0, 20.0);
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assertResult(20, 10, 20L, 10L, 20.f, 10.f, 20.0, 10.0);
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assertResult(RANDOM.nextInt(), RANDOM.nextInt(), RANDOM.nextLong(), RANDOM.nextLong(), RANDOM.nextFloat(), RANDOM.nextFloat(), RANDOM.nextDouble(), RANDOM.nextDouble());
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assertResult(RANDOM.nextInt(), RANDOM.nextInt(), RANDOM.nextLong(), RANDOM.nextLong(), RANDOM.nextFloat(), RANDOM.nextFloat(), RANDOM.nextDouble(), RANDOM.nextDouble());
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assertResult(Integer.MAX_VALUE, Integer.MIN_VALUE, Long.MAX_VALUE, Long.MIN_VALUE, Float.POSITIVE_INFINITY, Float.NaN, Double.POSITIVE_INFINITY, Double.NaN);
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assertResult(Integer.MIN_VALUE, Integer.MAX_VALUE, Long.MIN_VALUE, Long.MAX_VALUE, Float.NaN, Float.POSITIVE_INFINITY, Double.NaN, Double.POSITIVE_INFINITY);
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}
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@DontCompile
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public void assertResult(int iA, int iB, long lA, long lB, float fA, float fB, double dA, double dB) {
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Asserts.assertEQ(Math.min(iA, Math.min(iA, iB)), intMinMin(iA, iB));
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Asserts.assertEQ(Math.min(iA, Math.max(iA, iB)), intMinMax(iA, iB));
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Asserts.assertEQ(Math.max(iA, Math.min(iA, iB)), intMaxMin(iA, iB));
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Asserts.assertEQ(Math.max(iA, Math.max(iA, iB)), intMaxMax(iA, iB));
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Asserts.assertEQ(Math.min(lA, Math.min(lA, lB)), longMinMin(lA, lB));
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Asserts.assertEQ(Math.min(lA, Math.max(lA, lB)), longMinMax(lA, lB));
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Asserts.assertEQ(Math.max(lA, Math.min(lA, lB)), longMaxMin(lA, lB));
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Asserts.assertEQ(Math.max(lA, Math.max(lA, lB)), longMaxMax(lA, lB));
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Asserts.assertEQ(Math.min(fA, Math.min(fA, fB)), floatMinMin(fA, fB));
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Asserts.assertEQ(Math.max(fA, Math.max(fA, fB)), floatMaxMax(fA, fB));
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Asserts.assertEQ(Math.min(dA, Math.min(dA, dB)), doubleMinMin(dA, dB));
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Asserts.assertEQ(Math.max(dA, Math.max(dA, dB)), doubleMaxMax(dA, dB));
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// Due to NaN, these identities cannot be simplified.
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Asserts.assertEQ(Math.min(fA, Math.max(fA, fB)), floatMinMax(fA, fB));
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Asserts.assertEQ(Math.max(fA, Math.min(fA, fB)), floatMaxMin(fA, fB));
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Asserts.assertEQ(Math.min(dA, Math.max(dA, dB)), doubleMinMax(dA, dB));
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Asserts.assertEQ(Math.max(dA, Math.min(dA, dB)), doubleMaxMin(dA, dB));
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}
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// Integers
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@Test
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@IR(counts = { IRNode.MIN_I, "1" })
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public int intMinMin(int a, int b) {
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return Math.min(a, Math.min(a, b));
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}
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@Test
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@IR(failOn = { IRNode.MIN_I, IRNode.MAX_I })
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public int intMinMax(int a, int b) {
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return Math.min(a, Math.max(a, b));
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}
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@Test
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@IR(failOn = { IRNode.MIN_I, IRNode.MAX_I })
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public int intMaxMin(int a, int b) {
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return Math.max(a, Math.min(a, b));
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}
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@Test
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@IR(counts = { IRNode.MAX_I, "1" })
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public int intMaxMax(int a, int b) {
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return Math.max(a, Math.max(a, b));
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}
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// Longs
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// As Math.min/max(LL) is not intrinsified in the backend, it first needs to be transformed into CMoveL and then MinL/MaxL before
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// the identity can be matched. However, the outer min/max is not transformed into CMove because of the CMove cost model.
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// JDK-8307513 adds intrinsics for the methods such that MinL/MaxL replace the ternary operations,
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// and this enables identities to be matched.
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// Note that before JDK-8307513 MinL/MaxL nodes were already present before macro expansion.
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@Test
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@IR(applyIfPlatform = { "riscv64", "false" }, phase = { CompilePhase.BEFORE_MACRO_EXPANSION }, counts = { IRNode.MIN_L, "1" })
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public long longMinMin(long a, long b) {
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return Math.min(a, Math.min(a, b));
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}
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@Test
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@IR(failOn = { IRNode.MIN_L, IRNode.MAX_L })
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public long longMinMax(long a, long b) {
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return Math.min(a, Math.max(a, b));
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}
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@Test
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@IR(failOn = { IRNode.MIN_L, IRNode.MAX_L })
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public long longMaxMin(long a, long b) {
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return Math.max(a, Math.min(a, b));
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}
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@Test
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@IR(applyIfPlatform = { "riscv64", "false" }, phase = { CompilePhase.BEFORE_MACRO_EXPANSION }, counts = { IRNode.MAX_L, "1" })
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public long longMaxMax(long a, long b) {
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return Math.max(a, Math.max(a, b));
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}
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// Floats
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MIN_F, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MIN_F, "1" })
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public float floatMinMin(float a, float b) {
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return Math.min(a, Math.min(a, b));
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MAX_F, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MAX_F, "1" })
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public float floatMaxMax(float a, float b) {
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return Math.max(a, Math.max(a, b));
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}
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// Doubles
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MIN_D, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MIN_D, "1" })
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public double doubleMinMin(double a, double b) {
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return Math.min(a, Math.min(a, b));
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MAX_D, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MAX_D, "1" })
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public double doubleMaxMax(double a, double b) {
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return Math.max(a, Math.max(a, b));
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}
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// Float and double identities that cannot be simplified due to NaN
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MIN_F, "1", IRNode.MAX_F, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MIN_F, "1", IRNode.MAX_F, "1" })
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public float floatMinMax(float a, float b) {
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return Math.min(a, Math.max(a, b));
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MIN_F, "1", IRNode.MAX_F, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MIN_F, "1", IRNode.MAX_F, "1" })
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public float floatMaxMin(float a, float b) {
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return Math.max(a, Math.min(a, b));
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MIN_D, "1", IRNode.MAX_D, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MIN_D, "1", IRNode.MAX_D, "1" })
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public double doubleMinMax(double a, double b) {
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return Math.min(a, Math.max(a, b));
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}
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@Test
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@IR(applyIfCPUFeatureOr = {"avx", "true", "asimd", "true"}, counts = { IRNode.MIN_D, "1", IRNode.MAX_D, "1" })
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@IR(applyIfPlatform = { "riscv64", "true" }, counts = { IRNode.MIN_D, "1", IRNode.MAX_D, "1" })
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public double doubleMaxMin(double a, double b) {
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return Math.max(a, Math.min(a, b));
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}
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}
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