1 // 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 <stdint.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 17 namespace v8 { 18 namespace internal { 19 namespace 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. 24 class ValueHelper { 25 public: 26 Isolate* isolate_; 27 ValueHelper()28 ValueHelper() : isolate_(CcTest::InitIsolateOnce()) {} 29 CheckFloat64Constant(double expected,Node * node)30 void CheckFloat64Constant(double expected, Node* node) { 31 CHECK_EQ(IrOpcode::kFloat64Constant, node->opcode()); 32 CHECK_EQ(expected, OpParameter<double>(node)); 33 } 34 CheckNumberConstant(double expected,Node * node)35 void CheckNumberConstant(double expected, Node* node) { 36 CHECK_EQ(IrOpcode::kNumberConstant, node->opcode()); 37 CHECK_EQ(expected, OpParameter<double>(node)); 38 } 39 CheckInt32Constant(int32_t expected,Node * node)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 CheckUint32Constant(int32_t expected,Node * node)45 void CheckUint32Constant(int32_t expected, Node* node) { 46 CHECK_EQ(IrOpcode::kInt32Constant, node->opcode()); 47 CHECK_EQ(expected, OpParameter<int32_t>(node)); 48 } 49 CheckHeapConstant(HeapObject * expected,Node * node)50 void CheckHeapConstant(HeapObject* expected, Node* node) { 51 CHECK_EQ(IrOpcode::kHeapConstant, node->opcode()); 52 CHECK_EQ(expected, *OpParameter<Handle<HeapObject>>(node)); 53 } 54 CheckTrue(Node * node)55 void CheckTrue(Node* node) { 56 CheckHeapConstant(isolate_->heap()->true_value(), node); 57 } 58 CheckFalse(Node * node)59 void CheckFalse(Node* node) { 60 CheckHeapConstant(isolate_->heap()->false_value(), node); 61 } 62 float32_vector()63 static std::vector<float> float32_vector() { 64 static const float nan = std::numeric_limits<float>::quiet_NaN(); 65 static const float kValues[] = { 66 -std::numeric_limits<float>::infinity(), 67 -2.70497e+38f, 68 -1.4698e+37f, 69 -1.22813e+35f, 70 -1.20555e+35f, 71 -1.34584e+34f, 72 -1.0079e+32f, 73 -6.49364e+26f, 74 -3.06077e+25f, 75 -1.46821e+25f, 76 -1.17658e+23f, 77 -1.9617e+22f, 78 -2.7357e+20f, 79 -9223372036854775808.0f, // INT64_MIN 80 -1.48708e+13f, 81 -1.89633e+12f, 82 -4.66622e+11f, 83 -2.22581e+11f, 84 -1.45381e+10f, 85 -1.3956e+09f, 86 -1.32951e+09f, 87 -1.30721e+09f, 88 -1.19756e+09f, 89 -9.26822e+08f, 90 -6.35647e+08f, 91 -4.00037e+08f, 92 -1.81227e+08f, 93 -5.09256e+07f, 94 -964300.0f, 95 -192446.0f, 96 -28455.0f, 97 -27194.0f, 98 -26401.0f, 99 -20575.0f, 100 -17069.0f, 101 -9167.0f, 102 -960.178f, 103 -113.0f, 104 -62.0f, 105 -15.0f, 106 -7.0f, 107 -1.0f, 108 -0.0256635f, 109 -4.60374e-07f, 110 -3.63759e-10f, 111 -4.30175e-14f, 112 -5.27385e-15f, 113 -1.48084e-15f, 114 -1.05755e-19f, 115 -3.2995e-21f, 116 -1.67354e-23f, 117 -1.11885e-23f, 118 -1.78506e-30f, 119 -5.07594e-31f, 120 -3.65799e-31f, 121 -1.43718e-34f, 122 -1.27126e-38f, 123 -0.0f, 124 0.0f, 125 1.17549e-38f, 126 1.56657e-37f, 127 4.08512e-29f, 128 3.31357e-28f, 129 6.25073e-22f, 130 4.1723e-13f, 131 1.44343e-09f, 132 5.27004e-08f, 133 9.48298e-08f, 134 5.57888e-07f, 135 4.89988e-05f, 136 0.244326f, 137 1.0f, 138 12.4895f, 139 19.0f, 140 47.0f, 141 106.0f, 142 538.324f, 143 564.536f, 144 819.124f, 145 7048.0f, 146 12611.0f, 147 19878.0f, 148 20309.0f, 149 797056.0f, 150 1.77219e+09f, 151 1.51116e+11f, 152 4.18193e+13f, 153 3.59167e+16f, 154 9223372036854775807.0f, // INT64_MAX 155 18446744073709551615.0f, // UINT64_MAX 156 3.38211e+19f, 157 2.67488e+20f, 158 1.78831e+21f, 159 9.20914e+21f, 160 8.35654e+23f, 161 1.4495e+24f, 162 5.94015e+25f, 163 4.43608e+30f, 164 2.44502e+33f, 165 2.61152e+33f, 166 1.38178e+37f, 167 1.71306e+37f, 168 3.31899e+38f, 169 3.40282e+38f, 170 std::numeric_limits<float>::infinity(), 171 nan, 172 -nan, 173 }; 174 return std::vector<float>(&kValues[0], &kValues[arraysize(kValues)]); 175 } 176 float64_vector()177 static std::vector<double> float64_vector() { 178 static const double nan = std::numeric_limits<double>::quiet_NaN(); 179 static const double values[] = {-2e66, 180 -9223373136366403584.0, 181 -9223372036854775808.0, // INT64_MIN 182 -2147483649.5, 183 -2147483648.25, 184 -2147483648.0, 185 -2147483647.875, 186 -2147483647.125, 187 -2147483647.0, 188 -999.75, 189 -2e66, 190 -1.75, 191 -1.0, 192 -0.5, 193 -0.0, 194 0.0, 195 3e-88, 196 0.125, 197 0.25, 198 0.375, 199 0.5, 200 1.0, 201 1.25, 202 2, 203 3.1e7, 204 5.125, 205 6.25, 206 888, 207 982983.25, 208 2147483647.0, 209 2147483647.375, 210 2147483647.75, 211 2147483648.0, 212 2147483648.25, 213 2147483649.25, 214 9223372036854775807.0, // INT64_MAX 215 9223373136366403584.0, 216 18446744073709551615.0, // UINT64_MAX 217 2e66, 218 V8_INFINITY, 219 -V8_INFINITY, 220 -nan, 221 nan}; 222 return std::vector<double>(&values[0], &values[arraysize(values)]); 223 } 224 int32_vector()225 static const std::vector<int32_t> int32_vector() { 226 std::vector<uint32_t> values = uint32_vector(); 227 return std::vector<int32_t>(values.begin(), values.end()); 228 } 229 uint32_vector()230 static const std::vector<uint32_t> uint32_vector() { 231 static const uint32_t kValues[] = { 232 0x00000000, 0x00000001, 0xffffffff, 0x1b09788b, 0x04c5fce8, 0xcc0de5bf, 233 // This row is useful for testing lea optimizations on intel. 234 0x00000002, 0x00000003, 0x00000004, 0x00000005, 0x00000008, 0x00000009, 235 0x273a798e, 0x187937a3, 0xece3af83, 0x5495a16b, 0x0b668ecc, 0x11223344, 236 0x0000009e, 0x00000043, 0x0000af73, 0x0000116b, 0x00658ecc, 0x002b3b4c, 237 0x88776655, 0x70000000, 0x07200000, 0x7fffffff, 0x56123761, 0x7fffff00, 238 0x761c4761, 0x80000000, 0x88888888, 0xa0000000, 0xdddddddd, 0xe0000000, 239 0xeeeeeeee, 0xfffffffd, 0xf0000000, 0x007fffff, 0x003fffff, 0x001fffff, 240 0x000fffff, 0x0007ffff, 0x0003ffff, 0x0001ffff, 0x0000ffff, 0x00007fff, 241 0x00003fff, 0x00001fff, 0x00000fff, 0x000007ff, 0x000003ff, 0x000001ff}; 242 return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]); 243 } 244 int64_vector()245 static const std::vector<int64_t> int64_vector() { 246 std::vector<uint64_t> values = uint64_vector(); 247 return std::vector<int64_t>(values.begin(), values.end()); 248 } 249 uint64_vector()250 static const std::vector<uint64_t> uint64_vector() { 251 static const uint64_t kValues[] = { 252 0x00000000, 0x00000001, 0xffffffff, 253 0x1b09788b, 0x04c5fce8, 0xcc0de5bf, 254 0x00000002, 0x00000003, 0x00000004, 255 0x00000005, 0x00000008, 0x00000009, 256 0xffffffffffffffff, 0xfffffffffffffffe, 0xfffffffffffffffd, 257 0x0000000000000000, 0x0000000100000000, 0xffffffff00000000, 258 0x1b09788b00000000, 0x04c5fce800000000, 0xcc0de5bf00000000, 259 0x0000000200000000, 0x0000000300000000, 0x0000000400000000, 260 0x0000000500000000, 0x0000000800000000, 0x0000000900000000, 261 0x273a798e187937a3, 0xece3af835495a16b, 0x0b668ecc11223344, 262 0x0000009e, 0x00000043, 0x0000af73, 263 0x0000116b, 0x00658ecc, 0x002b3b4c, 264 0x88776655, 0x70000000, 0x07200000, 265 0x7fffffff, 0x56123761, 0x7fffff00, 266 0x761c4761eeeeeeee, 0x80000000eeeeeeee, 0x88888888dddddddd, 267 0xa0000000dddddddd, 0xddddddddaaaaaaaa, 0xe0000000aaaaaaaa, 268 0xeeeeeeeeeeeeeeee, 0xfffffffdeeeeeeee, 0xf0000000dddddddd, 269 0x007fffffdddddddd, 0x003fffffaaaaaaaa, 0x001fffffaaaaaaaa, 270 0x000fffff, 0x0007ffff, 0x0003ffff, 271 0x0001ffff, 0x0000ffff, 0x00007fff, 272 0x00003fff, 0x00001fff, 0x00000fff, 273 0x000007ff, 0x000003ff, 0x000001ff, 274 0x00003fffffffffff, 0x00001fffffffffff, 0x00000fffffffffff, 275 0x000007ffffffffff, 0x000003ffffffffff, 0x000001ffffffffff, 276 0x8000008000000000, 0x8000008000000001, 0x8000000000000400, 277 0x8000000000000401}; 278 return std::vector<uint64_t>(&kValues[0], &kValues[arraysize(kValues)]); 279 } 280 281 static const std::vector<double> nan_vector(size_t limit = 0) { 282 static const double nan = std::numeric_limits<double>::quiet_NaN(); 283 static const double values[] = {-nan, -V8_INFINITY * -0.0, 284 -V8_INFINITY * 0.0, V8_INFINITY * -0.0, 285 V8_INFINITY * 0.0, nan}; 286 return std::vector<double>(&values[0], &values[arraysize(values)]); 287 } 288 ror_vector()289 static const std::vector<uint32_t> ror_vector() { 290 static const uint32_t kValues[31] = { 291 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 292 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31}; 293 return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]); 294 } 295 }; 296 297 // Helper macros that can be used in FOR_INT32_INPUTS(i) { ... *i ... } 298 // Watch out, these macros aren't hygenic; they pollute your scope. Thanks STL. 299 #define FOR_INPUTS(ctype, itype, var) \ 300 std::vector<ctype> var##_vec = ValueHelper::itype##_vector(); \ 301 for (std::vector<ctype>::iterator var = var##_vec.begin(); \ 302 var != var##_vec.end(); ++var) 303 304 #define FOR_INT32_INPUTS(var) FOR_INPUTS(int32_t, int32, var) 305 #define FOR_UINT32_INPUTS(var) FOR_INPUTS(uint32_t, uint32, var) 306 #define FOR_INT64_INPUTS(var) FOR_INPUTS(int64_t, int64, var) 307 #define FOR_UINT64_INPUTS(var) FOR_INPUTS(uint64_t, uint64, var) 308 #define FOR_FLOAT32_INPUTS(var) FOR_INPUTS(float, float32, var) 309 #define FOR_FLOAT64_INPUTS(var) FOR_INPUTS(double, float64, var) 310 311 #define FOR_INT32_SHIFTS(var) for (int32_t var = 0; var < 32; var++) 312 313 #define FOR_UINT32_SHIFTS(var) for (uint32_t var = 0; var < 32; var++) 314 315 } // namespace compiler 316 } // namespace internal 317 } // namespace v8 318 319 #endif // V8_CCTEST_COMPILER_VALUE_HELPER_H_ 320