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Ben Murdochb8a8cc12014-11-26 15:28:44 +00001// Copyright 2014 the V8 project authors. All rights reserved.
2// Use of this source code is governed by a BSD-style license that can be
3// found in the LICENSE file.
4
5#ifndef V8_CCTEST_COMPILER_VALUE_HELPER_H_
6#define V8_CCTEST_COMPILER_VALUE_HELPER_H_
7
8#include "src/v8.h"
9
10#include "src/compiler/common-operator.h"
11#include "src/compiler/node.h"
12#include "src/compiler/node-matchers.h"
13#include "src/isolate.h"
14#include "src/objects.h"
15#include "test/cctest/cctest.h"
16
17namespace v8 {
18namespace internal {
19namespace compiler {
20
21// A collection of utilities related to numerical and heap values, including
22// example input values of various types, including int32_t, uint32_t, double,
23// etc.
24class ValueHelper {
25 public:
26 Isolate* isolate_;
27
28 ValueHelper() : isolate_(CcTest::InitIsolateOnce()) {}
29
30 void CheckFloat64Constant(double expected, Node* node) {
31 CHECK_EQ(IrOpcode::kFloat64Constant, node->opcode());
32 CHECK_EQ(expected, OpParameter<double>(node));
33 }
34
35 void CheckNumberConstant(double expected, Node* node) {
36 CHECK_EQ(IrOpcode::kNumberConstant, node->opcode());
37 CHECK_EQ(expected, OpParameter<double>(node));
38 }
39
40 void CheckInt32Constant(int32_t expected, Node* node) {
41 CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
42 CHECK_EQ(expected, OpParameter<int32_t>(node));
43 }
44
45 void CheckUint32Constant(int32_t expected, Node* node) {
46 CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
47 CHECK_EQ(expected, OpParameter<uint32_t>(node));
48 }
49
50 void CheckHeapConstant(Object* expected, Node* node) {
51 CHECK_EQ(IrOpcode::kHeapConstant, node->opcode());
52 CHECK_EQ(expected, *OpParameter<Unique<Object> >(node).handle());
53 }
54
55 void CheckTrue(Node* node) {
56 CheckHeapConstant(isolate_->heap()->true_value(), node);
57 }
58
59 void CheckFalse(Node* node) {
60 CheckHeapConstant(isolate_->heap()->false_value(), node);
61 }
62
Emily Bernierd0a1eb72015-03-24 16:35:39 -040063 static std::vector<float> float32_vector() {
64 static const float kValues[] = {
65 -std::numeric_limits<float>::infinity(), -2.70497e+38f, -1.4698e+37f,
66 -1.22813e+35f, -1.20555e+35f, -1.34584e+34f,
67 -1.0079e+32f, -6.49364e+26f, -3.06077e+25f,
68 -1.46821e+25f, -1.17658e+23f, -1.9617e+22f,
69 -2.7357e+20f, -1.48708e+13f, -1.89633e+12f,
70 -4.66622e+11f, -2.22581e+11f, -1.45381e+10f,
71 -1.3956e+09f, -1.32951e+09f, -1.30721e+09f,
72 -1.19756e+09f, -9.26822e+08f, -6.35647e+08f,
73 -4.00037e+08f, -1.81227e+08f, -5.09256e+07f,
74 -964300.0f, -192446.0f, -28455.0f,
75 -27194.0f, -26401.0f, -20575.0f,
76 -17069.0f, -9167.0f, -960.178f,
77 -113.0f, -62.0f, -15.0f,
78 -7.0f, -0.0256635f, -4.60374e-07f,
79 -3.63759e-10f, -4.30175e-14f, -5.27385e-15f,
80 -1.48084e-15f, -1.05755e-19f, -3.2995e-21f,
81 -1.67354e-23f, -1.11885e-23f, -1.78506e-30f,
82 -5.07594e-31f, -3.65799e-31f, -1.43718e-34f,
83 -1.27126e-38f, -0.0f, 0.0f,
84 1.17549e-38f, 1.56657e-37f, 4.08512e-29f,
85 3.31357e-28f, 6.25073e-22f, 4.1723e-13f,
86 1.44343e-09f, 5.27004e-08f, 9.48298e-08f,
87 5.57888e-07f, 4.89988e-05f, 0.244326f,
88 12.4895f, 19.0f, 47.0f,
89 106.0f, 538.324f, 564.536f,
90 819.124f, 7048.0f, 12611.0f,
91 19878.0f, 20309.0f, 797056.0f,
92 1.77219e+09f, 1.51116e+11f, 4.18193e+13f,
93 3.59167e+16f, 3.38211e+19f, 2.67488e+20f,
94 1.78831e+21f, 9.20914e+21f, 8.35654e+23f,
95 1.4495e+24f, 5.94015e+25f, 4.43608e+30f,
96 2.44502e+33f, 2.61152e+33f, 1.38178e+37f,
97 1.71306e+37f, 3.31899e+38f, 3.40282e+38f,
98 std::numeric_limits<float>::infinity()};
99 return std::vector<float>(&kValues[0], &kValues[arraysize(kValues)]);
100 }
101
Ben Murdochb8a8cc12014-11-26 15:28:44 +0000102 static std::vector<double> float64_vector() {
103 static const double nan = v8::base::OS::nan_value();
104 static const double values[] = {
105 0.125, 0.25, 0.375, 0.5,
106 1.25, -1.75, 2, 5.125,
107 6.25, 0.0, -0.0, 982983.25,
108 888, 2147483647.0, -999.75, 3.1e7,
109 -2e66, 3e-88, -2147483648.0, V8_INFINITY,
110 -V8_INFINITY, nan, 2147483647.375, 2147483647.75,
111 2147483648.0, 2147483648.25, 2147483649.25, -2147483647.0,
112 -2147483647.125, -2147483647.875, -2147483648.25, -2147483649.5};
113 return std::vector<double>(&values[0], &values[arraysize(values)]);
114 }
115
116 static const std::vector<int32_t> int32_vector() {
117 std::vector<uint32_t> values = uint32_vector();
118 return std::vector<int32_t>(values.begin(), values.end());
119 }
120
121 static const std::vector<uint32_t> uint32_vector() {
122 static const uint32_t kValues[] = {
123 0x00000000, 0x00000001, 0xffffffff, 0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
Emily Bernierd0a1eb72015-03-24 16:35:39 -0400124 // This row is useful for testing lea optimizations on intel.
125 0x00000002, 0x00000003, 0x00000004, 0x00000005, 0x00000008, 0x00000009,
Ben Murdochb8a8cc12014-11-26 15:28:44 +0000126 0x273a798e, 0x187937a3, 0xece3af83, 0x5495a16b, 0x0b668ecc, 0x11223344,
127 0x0000009e, 0x00000043, 0x0000af73, 0x0000116b, 0x00658ecc, 0x002b3b4c,
128 0x88776655, 0x70000000, 0x07200000, 0x7fffffff, 0x56123761, 0x7fffff00,
129 0x761c4761, 0x80000000, 0x88888888, 0xa0000000, 0xdddddddd, 0xe0000000,
130 0xeeeeeeee, 0xfffffffd, 0xf0000000, 0x007fffff, 0x003fffff, 0x001fffff,
131 0x000fffff, 0x0007ffff, 0x0003ffff, 0x0001ffff, 0x0000ffff, 0x00007fff,
132 0x00003fff, 0x00001fff, 0x00000fff, 0x000007ff, 0x000003ff, 0x000001ff};
133 return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
134 }
135
136 static const std::vector<double> nan_vector(size_t limit = 0) {
137 static const double nan = v8::base::OS::nan_value();
138 static const double values[] = {-nan, -V8_INFINITY * -0.0,
139 -V8_INFINITY * 0.0, V8_INFINITY * -0.0,
140 V8_INFINITY * 0.0, nan};
141 return std::vector<double>(&values[0], &values[arraysize(values)]);
142 }
143
144 static const std::vector<uint32_t> ror_vector() {
145 static const uint32_t kValues[31] = {
146 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
147 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
148 return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
149 }
150};
151
152// Helper macros that can be used in FOR_INT32_INPUTS(i) { ... *i ... }
153// Watch out, these macros aren't hygenic; they pollute your scope. Thanks STL.
154#define FOR_INPUTS(ctype, itype, var) \
155 std::vector<ctype> var##_vec = ValueHelper::itype##_vector(); \
156 for (std::vector<ctype>::iterator var = var##_vec.begin(); \
157 var != var##_vec.end(); ++var)
158
159#define FOR_INT32_INPUTS(var) FOR_INPUTS(int32_t, int32, var)
160#define FOR_UINT32_INPUTS(var) FOR_INPUTS(uint32_t, uint32, var)
Emily Bernierd0a1eb72015-03-24 16:35:39 -0400161#define FOR_FLOAT32_INPUTS(var) FOR_INPUTS(float, float32, var)
Ben Murdochb8a8cc12014-11-26 15:28:44 +0000162#define FOR_FLOAT64_INPUTS(var) FOR_INPUTS(double, float64, var)
163
164#define FOR_INT32_SHIFTS(var) for (int32_t var = 0; var < 32; var++)
165
166#define FOR_UINT32_SHIFTS(var) for (uint32_t var = 0; var < 32; var++)
167
168} // namespace compiler
169} // namespace internal
170} // namespace v8
171
172#endif // V8_CCTEST_COMPILER_VALUE_HELPER_H_