89d8c57b9c
Import base::ieee754::atan() and base::ieee754::atan2() from fdlibm and introduce Float64Atan and Float64Atan2 TurboFan operators based on those, similar to what we already did for Float64Log and Float64Log1p. Rewrite Math.atan() and Math.atan2() as TurboFan builtin and use the operators to also inline Math.atan() and Math.atan2() into optimized TurboFan functions. R=yangguo@chromium.org BUG=v8:5086,v8:5095 Review-Url: https://codereview.chromium.org/2065503002 Cr-Commit-Position: refs/heads/master@{#36916}
358 lines
12 KiB
C++
358 lines
12 KiB
C++
// Copyright 2014 the V8 project authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file.
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#ifndef V8_CCTEST_COMPILER_VALUE_HELPER_H_
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#define V8_CCTEST_COMPILER_VALUE_HELPER_H_
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#include <stdint.h>
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#include "src/compiler/common-operator.h"
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#include "src/compiler/node.h"
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#include "src/compiler/node-matchers.h"
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#include "src/isolate.h"
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#include "src/objects.h"
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#include "test/cctest/cctest.h"
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namespace v8 {
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namespace internal {
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namespace compiler {
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// A collection of utilities related to numerical and heap values, including
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// example input values of various types, including int32_t, uint32_t, double,
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// etc.
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class ValueHelper {
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public:
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Isolate* isolate_;
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ValueHelper() : isolate_(CcTest::InitIsolateOnce()) {}
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void CheckFloat64Constant(double expected, Node* node) {
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CHECK_EQ(IrOpcode::kFloat64Constant, node->opcode());
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CHECK_EQ(expected, OpParameter<double>(node));
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}
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void CheckNumberConstant(double expected, Node* node) {
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CHECK_EQ(IrOpcode::kNumberConstant, node->opcode());
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CHECK_EQ(expected, OpParameter<double>(node));
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}
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void CheckInt32Constant(int32_t expected, Node* node) {
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CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
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CHECK_EQ(expected, OpParameter<int32_t>(node));
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}
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void CheckUint32Constant(int32_t expected, Node* node) {
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CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
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CHECK_EQ(expected, OpParameter<int32_t>(node));
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}
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void CheckHeapConstant(HeapObject* expected, Node* node) {
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CHECK_EQ(IrOpcode::kHeapConstant, node->opcode());
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CHECK_EQ(expected, *OpParameter<Handle<HeapObject>>(node));
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}
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void CheckTrue(Node* node) {
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CheckHeapConstant(isolate_->heap()->true_value(), node);
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}
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void CheckFalse(Node* node) {
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CheckHeapConstant(isolate_->heap()->false_value(), node);
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}
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static std::vector<float> float32_vector() {
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static const float nan = std::numeric_limits<float>::quiet_NaN();
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static const float kValues[] = {
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-std::numeric_limits<float>::infinity(),
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-2.70497e+38f,
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-1.4698e+37f,
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-1.22813e+35f,
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-1.20555e+35f,
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-1.34584e+34f,
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-1.0079e+32f,
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-6.49364e+26f,
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-3.06077e+25f,
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-1.46821e+25f,
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-1.17658e+23f,
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-1.9617e+22f,
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-2.7357e+20f,
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-9223372036854775808.0f, // INT64_MIN
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-1.48708e+13f,
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-1.89633e+12f,
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-4.66622e+11f,
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-2.22581e+11f,
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-1.45381e+10f,
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-1.3956e+09f,
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-1.32951e+09f,
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-1.30721e+09f,
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-1.19756e+09f,
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-9.26822e+08f,
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-6.35647e+08f,
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-4.00037e+08f,
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-1.81227e+08f,
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-5.09256e+07f,
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-964300.0f,
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-192446.0f,
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-28455.0f,
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-27194.0f,
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-26401.0f,
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-20575.0f,
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-17069.0f,
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-9167.0f,
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-960.178f,
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-113.0f,
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-62.0f,
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-15.0f,
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-7.0f,
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-1.0f,
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-0.0256635f,
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-4.60374e-07f,
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-3.63759e-10f,
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-4.30175e-14f,
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-5.27385e-15f,
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-1.5707963267948966f,
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-1.48084e-15f,
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-2.220446049250313e-16f,
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-1.05755e-19f,
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-3.2995e-21f,
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-1.67354e-23f,
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-1.11885e-23f,
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-1.78506e-30f,
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-5.07594e-31f,
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-3.65799e-31f,
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-1.43718e-34f,
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-1.27126e-38f,
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-0.0f,
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0.0f,
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1.17549e-38f,
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1.56657e-37f,
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4.08512e-29f,
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3.31357e-28f,
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6.25073e-22f,
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4.1723e-13f,
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1.44343e-09f,
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1.5707963267948966f,
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5.27004e-08f,
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9.48298e-08f,
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5.57888e-07f,
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4.89988e-05f,
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0.244326f,
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1.0f,
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12.4895f,
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19.0f,
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47.0f,
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106.0f,
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538.324f,
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564.536f,
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819.124f,
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7048.0f,
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12611.0f,
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19878.0f,
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20309.0f,
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797056.0f,
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1.77219e+09f,
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1.51116e+11f,
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4.18193e+13f,
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3.59167e+16f,
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9223372036854775807.0f, // INT64_MAX
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18446744073709551615.0f, // UINT64_MAX
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3.38211e+19f,
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2.67488e+20f,
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1.78831e+21f,
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9.20914e+21f,
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8.35654e+23f,
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1.4495e+24f,
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5.94015e+25f,
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4.43608e+30f,
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2.44502e+33f,
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2.61152e+33f,
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1.38178e+37f,
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1.71306e+37f,
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3.31899e+38f,
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3.40282e+38f,
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std::numeric_limits<float>::infinity(),
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nan,
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-nan,
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};
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return std::vector<float>(&kValues[0], &kValues[arraysize(kValues)]);
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}
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static std::vector<double> float64_vector() {
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static const double nan = std::numeric_limits<double>::quiet_NaN();
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static const double values[] = {-2e66,
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-2.220446049250313e-16,
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-9223373136366403584.0,
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-9223372036854775808.0, // INT64_MIN
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-2147483649.5,
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-2147483648.25,
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-2147483648.0,
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-2147483647.875,
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-2147483647.125,
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-2147483647.0,
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-999.75,
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-2e66,
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-1.75,
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-1.5707963267948966,
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-1.0,
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-0.5,
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-0.0,
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0.0,
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3e-88,
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0.125,
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0.25,
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0.375,
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0.5,
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1.0,
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1.17549e-38,
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1.56657e-37,
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1.0000001,
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1.25,
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1.5707963267948966,
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2,
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3.1e7,
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5.125,
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6.25,
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888,
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982983.25,
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2147483647.0,
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2147483647.375,
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2147483647.75,
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2147483648.0,
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2147483648.25,
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2147483649.25,
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9223372036854775807.0, // INT64_MAX
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9223373136366403584.0,
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18446744073709551615.0, // UINT64_MAX
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2e66,
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V8_INFINITY,
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-V8_INFINITY,
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-nan,
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nan};
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return std::vector<double>(&values[0], &values[arraysize(values)]);
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}
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static const std::vector<int32_t> int32_vector() {
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std::vector<uint32_t> values = uint32_vector();
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return std::vector<int32_t>(values.begin(), values.end());
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}
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static const std::vector<uint32_t> uint32_vector() {
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static const uint32_t kValues[] = {
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0x00000000, 0x00000001, 0xffffffff, 0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
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// This row is useful for testing lea optimizations on intel.
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0x00000002, 0x00000003, 0x00000004, 0x00000005, 0x00000008, 0x00000009,
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0x273a798e, 0x187937a3, 0xece3af83, 0x5495a16b, 0x0b668ecc, 0x11223344,
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0x0000009e, 0x00000043, 0x0000af73, 0x0000116b, 0x00658ecc, 0x002b3b4c,
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0x88776655, 0x70000000, 0x07200000, 0x7fffffff, 0x56123761, 0x7fffff00,
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0x761c4761, 0x80000000, 0x88888888, 0xa0000000, 0xdddddddd, 0xe0000000,
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0xeeeeeeee, 0xfffffffd, 0xf0000000, 0x007fffff, 0x003fffff, 0x001fffff,
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0x000fffff, 0x0007ffff, 0x0003ffff, 0x0001ffff, 0x0000ffff, 0x00007fff,
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0x00003fff, 0x00001fff, 0x00000fff, 0x000007ff, 0x000003ff, 0x000001ff};
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return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
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}
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static const std::vector<int64_t> int64_vector() {
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std::vector<uint64_t> values = uint64_vector();
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return std::vector<int64_t>(values.begin(), values.end());
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}
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static const std::vector<uint64_t> uint64_vector() {
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static const uint64_t kValues[] = {
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0x00000000, 0x00000001, 0xffffffff,
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0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
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0x00000002, 0x00000003, 0x00000004,
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0x00000005, 0x00000008, 0x00000009,
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0xffffffffffffffff, 0xfffffffffffffffe, 0xfffffffffffffffd,
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0x0000000000000000, 0x0000000100000000, 0xffffffff00000000,
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0x1b09788b00000000, 0x04c5fce800000000, 0xcc0de5bf00000000,
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0x0000000200000000, 0x0000000300000000, 0x0000000400000000,
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0x0000000500000000, 0x0000000800000000, 0x0000000900000000,
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0x273a798e187937a3, 0xece3af835495a16b, 0x0b668ecc11223344,
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0x0000009e, 0x00000043, 0x0000af73,
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0x0000116b, 0x00658ecc, 0x002b3b4c,
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0x88776655, 0x70000000, 0x07200000,
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0x7fffffff, 0x56123761, 0x7fffff00,
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0x761c4761eeeeeeee, 0x80000000eeeeeeee, 0x88888888dddddddd,
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0xa0000000dddddddd, 0xddddddddaaaaaaaa, 0xe0000000aaaaaaaa,
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0xeeeeeeeeeeeeeeee, 0xfffffffdeeeeeeee, 0xf0000000dddddddd,
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0x007fffffdddddddd, 0x003fffffaaaaaaaa, 0x001fffffaaaaaaaa,
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0x000fffff, 0x0007ffff, 0x0003ffff,
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0x0001ffff, 0x0000ffff, 0x00007fff,
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0x00003fff, 0x00001fff, 0x00000fff,
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0x000007ff, 0x000003ff, 0x000001ff,
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0x00003fffffffffff, 0x00001fffffffffff, 0x00000fffffffffff,
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0x000007ffffffffff, 0x000003ffffffffff, 0x000001ffffffffff,
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0x8000008000000000, 0x8000008000000001, 0x8000000000000400,
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0x8000000000000401, 0x0000000000000020};
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return std::vector<uint64_t>(&kValues[0], &kValues[arraysize(kValues)]);
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}
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static const std::vector<double> nan_vector(size_t limit = 0) {
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static const double nan = std::numeric_limits<double>::quiet_NaN();
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static const double values[] = {-nan, -V8_INFINITY * -0.0,
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-V8_INFINITY * 0.0, V8_INFINITY * -0.0,
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V8_INFINITY * 0.0, nan};
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return std::vector<double>(&values[0], &values[arraysize(values)]);
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}
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static const std::vector<uint32_t> ror_vector() {
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static const uint32_t kValues[31] = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
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17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
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return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
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}
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};
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// Helper macros that can be used in FOR_INT32_INPUTS(i) { ... *i ... }
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// Watch out, these macros aren't hygenic; they pollute your scope. Thanks STL.
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#define FOR_INPUTS(ctype, itype, var) \
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std::vector<ctype> var##_vec = ValueHelper::itype##_vector(); \
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for (std::vector<ctype>::iterator var = var##_vec.begin(); \
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var != var##_vec.end(); ++var)
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#define FOR_INT32_INPUTS(var) FOR_INPUTS(int32_t, int32, var)
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#define FOR_UINT32_INPUTS(var) FOR_INPUTS(uint32_t, uint32, var)
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#define FOR_INT64_INPUTS(var) FOR_INPUTS(int64_t, int64, var)
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#define FOR_UINT64_INPUTS(var) FOR_INPUTS(uint64_t, uint64, var)
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#define FOR_FLOAT32_INPUTS(var) FOR_INPUTS(float, float32, var)
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#define FOR_FLOAT64_INPUTS(var) FOR_INPUTS(double, float64, var)
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#define FOR_INT32_SHIFTS(var) for (int32_t var = 0; var < 32; var++)
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#define FOR_UINT32_SHIFTS(var) for (uint32_t var = 0; var < 32; var++)
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// TODO(bmeurer): Drop this crap once we switch to GTest/Gmock.
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static inline void CheckFloatEq(volatile float x, volatile float y) {
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if (std::isnan(x)) {
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CHECK(std::isnan(y));
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} else {
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CHECK_EQ(x, y);
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}
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}
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#define CHECK_FLOAT_EQ(lhs, rhs) \
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do { \
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volatile float tmp = lhs; \
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CheckFloatEq(tmp, rhs); \
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} while (0)
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static inline void CheckDoubleEq(volatile double x, volatile double y) {
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if (std::isnan(x)) {
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CHECK(std::isnan(y));
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} else {
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CHECK_EQ(x, y);
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}
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}
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#define CHECK_DOUBLE_EQ(lhs, rhs) \
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do { \
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volatile double tmp = lhs; \
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CheckDoubleEq(tmp, rhs); \
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} while (0)
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} // namespace compiler
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} // namespace internal
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} // namespace v8
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#endif // V8_CCTEST_COMPILER_VALUE_HELPER_H_
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