406 lines · cpp
1//===- unittest/Support/BranchProbabilityTest.cpp - BranchProbability tests -=//2//3// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.4// See https://llvm.org/LICENSE.txt for license information.5// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception6//7//===----------------------------------------------------------------------===//8 9#include "llvm/Support/BranchProbability.h"10#include "llvm/Support/raw_ostream.h"11#include "gtest/gtest.h"12 13using namespace llvm;14 15namespace llvm {16void PrintTo(BranchProbability P, ::std::ostream *os) {17 *os << P.getNumerator() << "/" << P.getDenominator();18}19}20namespace {21 22typedef BranchProbability BP;23TEST(BranchProbabilityTest, Accessors) {24 EXPECT_EQ(306783378u, BP(1, 7).getNumerator());25 EXPECT_EQ(1u << 31, BP(1, 7).getDenominator());26 EXPECT_EQ(0u, BP::getZero().getNumerator());27 EXPECT_EQ(1u << 31, BP::getZero().getDenominator());28 EXPECT_EQ(1u << 31, BP::getOne().getNumerator());29 EXPECT_EQ(1u << 31, BP::getOne().getDenominator());30}31 32TEST(BranchProbabilityTest, Operators) {33 EXPECT_TRUE(BP(1, 7) < BP(2, 7));34 EXPECT_TRUE(BP(1, 7) < BP(1, 4));35 EXPECT_TRUE(BP(5, 7) < BP(3, 4));36 EXPECT_FALSE(BP(1, 7) < BP(1, 7));37 EXPECT_FALSE(BP(1, 7) < BP(2, 14));38 EXPECT_FALSE(BP(4, 7) < BP(1, 2));39 EXPECT_FALSE(BP(4, 7) < BP(3, 7));40 41 EXPECT_FALSE(BP(1, 7) > BP(2, 7));42 EXPECT_FALSE(BP(1, 7) > BP(1, 4));43 EXPECT_FALSE(BP(5, 7) > BP(3, 4));44 EXPECT_FALSE(BP(1, 7) > BP(1, 7));45 EXPECT_FALSE(BP(1, 7) > BP(2, 14));46 EXPECT_TRUE(BP(4, 7) > BP(1, 2));47 EXPECT_TRUE(BP(4, 7) > BP(3, 7));48 49 EXPECT_TRUE(BP(1, 7) <= BP(2, 7));50 EXPECT_TRUE(BP(1, 7) <= BP(1, 4));51 EXPECT_TRUE(BP(5, 7) <= BP(3, 4));52 EXPECT_TRUE(BP(1, 7) <= BP(1, 7));53 EXPECT_TRUE(BP(1, 7) <= BP(2, 14));54 EXPECT_FALSE(BP(4, 7) <= BP(1, 2));55 EXPECT_FALSE(BP(4, 7) <= BP(3, 7));56 57 EXPECT_FALSE(BP(1, 7) >= BP(2, 7));58 EXPECT_FALSE(BP(1, 7) >= BP(1, 4));59 EXPECT_FALSE(BP(5, 7) >= BP(3, 4));60 EXPECT_TRUE(BP(1, 7) >= BP(1, 7));61 EXPECT_TRUE(BP(1, 7) >= BP(2, 14));62 EXPECT_TRUE(BP(4, 7) >= BP(1, 2));63 EXPECT_TRUE(BP(4, 7) >= BP(3, 7));64 65 EXPECT_FALSE(BP(1, 7) == BP(2, 7));66 EXPECT_FALSE(BP(1, 7) == BP(1, 4));67 EXPECT_FALSE(BP(5, 7) == BP(3, 4));68 EXPECT_TRUE(BP(1, 7) == BP(1, 7));69 EXPECT_TRUE(BP(1, 7) == BP(2, 14));70 EXPECT_FALSE(BP(4, 7) == BP(1, 2));71 EXPECT_FALSE(BP(4, 7) == BP(3, 7));72 73 EXPECT_TRUE(BP(1, 7) != BP(2, 7));74 EXPECT_TRUE(BP(1, 7) != BP(1, 4));75 EXPECT_TRUE(BP(5, 7) != BP(3, 4));76 EXPECT_FALSE(BP(1, 7) != BP(1, 7));77 EXPECT_FALSE(BP(1, 7) != BP(2, 14));78 EXPECT_TRUE(BP(4, 7) != BP(1, 2));79 EXPECT_TRUE(BP(4, 7) != BP(3, 7));80 81 EXPECT_TRUE(BP(1, 7) == BP(2, 14));82 EXPECT_TRUE(BP(1, 7) == BP(3, 21));83 EXPECT_TRUE(BP(5, 7) == BP(25, 35));84 EXPECT_TRUE(BP(99999998, 100000000) < BP(99999999, 100000000));85 EXPECT_TRUE(BP(4, 8) == BP(400000000, 800000000));86}87 88TEST(BranchProbabilityTest, MoreOperators) {89 BP A(4, 5);90 BP B(4U << 29, 5U << 29);91 BP C(3, 4);92 93 EXPECT_TRUE(A == B);94 EXPECT_FALSE(A != B);95 EXPECT_FALSE(A < B);96 EXPECT_FALSE(A > B);97 EXPECT_TRUE(A <= B);98 EXPECT_TRUE(A >= B);99 100 EXPECT_FALSE(B == C);101 EXPECT_TRUE(B != C);102 EXPECT_FALSE(B < C);103 EXPECT_TRUE(B > C);104 EXPECT_FALSE(B <= C);105 EXPECT_TRUE(B >= C);106 107 BP BigZero(0, UINT32_MAX);108 BP BigOne(UINT32_MAX, UINT32_MAX);109 EXPECT_FALSE(BigZero == BigOne);110 EXPECT_TRUE(BigZero != BigOne);111 EXPECT_TRUE(BigZero < BigOne);112 EXPECT_FALSE(BigZero > BigOne);113 EXPECT_TRUE(BigZero <= BigOne);114 EXPECT_FALSE(BigZero >= BigOne);115}116 117TEST(BranchProbabilityTest, ArithmeticOperators) {118 BP Z(0, 1);119 BP O(1, 1);120 BP H(1, 2);121 BP Q(1, 4);122 BP Q3(3, 4);123 124 EXPECT_EQ(Z + O, O);125 EXPECT_EQ(H + Z, H);126 EXPECT_EQ(H + H, O);127 EXPECT_EQ(Q + H, Q3);128 EXPECT_EQ(Q + Q3, O);129 EXPECT_EQ(H + Q3, O);130 EXPECT_EQ(Q3 + Q3, O);131 132 EXPECT_EQ(Z - O, Z);133 EXPECT_EQ(O - Z, O);134 EXPECT_EQ(O - H, H);135 EXPECT_EQ(O - Q, Q3);136 EXPECT_EQ(Q3 - H, Q);137 EXPECT_EQ(Q - H, Z);138 EXPECT_EQ(Q - Q3, Z);139 140 EXPECT_EQ(Z * O, Z);141 EXPECT_EQ(H * H, Q);142 EXPECT_EQ(Q * O, Q);143 EXPECT_EQ(O * O, O);144 EXPECT_EQ(Z * Z, Z);145 146 EXPECT_EQ(Z * 3, Z);147 EXPECT_EQ(Q * 3, Q3);148 EXPECT_EQ(H * 3, O);149 EXPECT_EQ(Q3 * 2, O);150 EXPECT_EQ(O * UINT32_MAX, O);151 152 EXPECT_EQ(Z / 4, Z);153 EXPECT_EQ(O / 4, Q);154 EXPECT_EQ(Q3 / 3, Q);155 EXPECT_EQ(H / 2, Q);156 EXPECT_EQ(O / 2, H);157 EXPECT_EQ(H / UINT32_MAX, Z);158 159 BP Min(1, 1u << 31);160 161 EXPECT_EQ(O / UINT32_MAX, Z);162 EXPECT_EQ(Min * UINT32_MAX, O);163}164 165TEST(BranchProbabilityTest, getCompl) {166 EXPECT_EQ(BP(5, 7), BP(2, 7).getCompl());167 EXPECT_EQ(BP(2, 7), BP(5, 7).getCompl());168 EXPECT_EQ(BP::getZero(), BP(7, 7).getCompl());169 EXPECT_EQ(BP::getOne(), BP(0, 7).getCompl());170}171 172TEST(BranchProbabilityTest, scale) {173 // Multiply by 1.0.174 EXPECT_EQ(UINT64_MAX, BP(1, 1).scale(UINT64_MAX));175 EXPECT_EQ(UINT64_MAX, BP(7, 7).scale(UINT64_MAX));176 EXPECT_EQ(UINT32_MAX, BP(1, 1).scale(UINT32_MAX));177 EXPECT_EQ(UINT32_MAX, BP(7, 7).scale(UINT32_MAX));178 EXPECT_EQ(0u, BP(1, 1).scale(0));179 EXPECT_EQ(0u, BP(7, 7).scale(0));180 181 // Multiply by 0.0.182 EXPECT_EQ(0u, BP(0, 1).scale(UINT64_MAX));183 EXPECT_EQ(0u, BP(0, 1).scale(UINT64_MAX));184 EXPECT_EQ(0u, BP(0, 1).scale(0));185 186 auto Two63 = UINT64_C(1) << 63;187 auto Two31 = UINT64_C(1) << 31;188 189 // Multiply by 0.5.190 EXPECT_EQ(Two63 - 1, BP(1, 2).scale(UINT64_MAX));191 192 // Big fractions.193 EXPECT_EQ(1u, BP(Two31, UINT32_MAX).scale(2));194 EXPECT_EQ(Two31, BP(Two31, UINT32_MAX).scale(Two31 * 2));195 EXPECT_EQ(9223372036854775807ULL, BP(Two31, UINT32_MAX).scale(UINT64_MAX));196 197 // High precision.198 EXPECT_EQ(UINT64_C(9223372045444710399),199 BP(Two31 + 1, UINT32_MAX - 2).scale(UINT64_MAX));200}201 202TEST(BranchProbabilityTest, scaleByInverse) {203 // Divide by 1.0.204 EXPECT_EQ(UINT64_MAX, BP(1, 1).scaleByInverse(UINT64_MAX));205 EXPECT_EQ(UINT64_MAX, BP(7, 7).scaleByInverse(UINT64_MAX));206 EXPECT_EQ(UINT32_MAX, BP(1, 1).scaleByInverse(UINT32_MAX));207 EXPECT_EQ(UINT32_MAX, BP(7, 7).scaleByInverse(UINT32_MAX));208 EXPECT_EQ(0u, BP(1, 1).scaleByInverse(0));209 EXPECT_EQ(0u, BP(7, 7).scaleByInverse(0));210 211 auto MAX_DENOMINATOR = BP::getDenominator();212 213 // Divide by something very small.214 EXPECT_EQ(UINT64_MAX, BP(1, UINT32_MAX).scaleByInverse(UINT64_MAX));215 EXPECT_EQ(uint64_t(UINT32_MAX) * MAX_DENOMINATOR,216 BP(1, MAX_DENOMINATOR).scaleByInverse(UINT32_MAX));217 EXPECT_EQ(MAX_DENOMINATOR, BP(1, MAX_DENOMINATOR).scaleByInverse(1));218 219 auto Two63 = UINT64_C(1) << 63;220 auto Two31 = UINT64_C(1) << 31;221 222 // Divide by 0.5.223 EXPECT_EQ(UINT64_MAX - 1, BP(1, 2).scaleByInverse(Two63 - 1));224 EXPECT_EQ(UINT64_MAX, BP(1, 2).scaleByInverse(Two63));225 226 // Big fractions.227 EXPECT_EQ(2u, BP(Two31, UINT32_MAX).scaleByInverse(1));228 EXPECT_EQ(2u, BP(Two31 - 1, UINT32_MAX).scaleByInverse(1));229 EXPECT_EQ(Two31 * 2, BP(Two31, UINT32_MAX).scaleByInverse(Two31));230 EXPECT_EQ(Two31 * 2, BP(Two31 - 1, UINT32_MAX).scaleByInverse(Two31));231 EXPECT_EQ(UINT64_MAX, BP(Two31, UINT32_MAX).scaleByInverse(Two63 + Two31));232 233 // High precision. The exact answers to these are close to the successors of234 // the floor. If we were rounding, these would round up.235 EXPECT_EQ(UINT64_C(18446744060824649767),236 BP(Two31 + 2, UINT32_MAX - 2)237 .scaleByInverse(UINT64_C(9223372047592194056)));238 EXPECT_EQ(UINT64_C(18446744060824649739),239 BP(Two31 + 1, UINT32_MAX).scaleByInverse(Two63 + Two31));240}241 242TEST(BranchProbabilityTest, scaleBruteForce) {243 struct {244 uint64_t Num;245 uint32_t Prob[2];246 uint64_t Result;247 } Tests[] = {248 // Data for scaling that results in <= 64 bit division.249 { 0x1423e2a50ULL, { 0x64819521, 0x7765dd13 }, 0x10f418888ULL },250 { 0x35ef14ceULL, { 0x28ade3c7, 0x304532ae }, 0x2d73c33bULL },251 { 0xd03dbfbe24ULL, { 0x790079, 0xe419f3 }, 0x6e776fc2c4ULL },252 { 0x21d67410bULL, { 0x302a9dc2, 0x3ddb4442 }, 0x1a5948fd4ULL },253 { 0x8664aeadULL, { 0x3d523513, 0x403523b1 }, 0x805a04cfULL },254 { 0x201db0cf4ULL, { 0x35112a7b, 0x79fc0c74 }, 0xdf8b07f8ULL },255 { 0x13f1e4430aULL, { 0x21c92bf, 0x21e63aae }, 0x13e0cba26ULL },256 { 0x16c83229ULL, { 0x3793f66f, 0x53180dea }, 0xf3ce7b6ULL },257 { 0xc62415be8ULL, { 0x9cc4a63, 0x4327ae9b }, 0x1ce8b71c1ULL },258 { 0x6fac5e434ULL, { 0xe5f9170, 0x1115e10b }, 0x5df23dd4cULL },259 { 0x1929375f2ULL, { 0x3a851375, 0x76c08456 }, 0xc662b083ULL },260 { 0x243c89db6ULL, { 0x354ebfc0, 0x450ef197 }, 0x1bf8c1663ULL },261 { 0x310e9b31aULL, { 0x1b1b8acf, 0x2d3629f0 }, 0x1d69c93f9ULL },262 { 0xa1fae921dULL, { 0xa7a098c, 0x10469f44 }, 0x684413d6eULL },263 { 0xc1582d957ULL, { 0x498e061, 0x59856bc }, 0x9edc5f4ecULL },264 { 0x57cfee75ULL, { 0x1d061dc3, 0x7c8bfc17 }, 0x1476a220ULL },265 { 0x139220080ULL, { 0x294a6c71, 0x2a2b07c9 }, 0x1329e1c75ULL },266 { 0x1665d353cULL, { 0x7080db5, 0xde0d75c }, 0xb590d9faULL },267 { 0xe8f14541ULL, { 0x5188e8b2, 0x736527ef }, 0xa4971be5ULL },268 { 0x2f4775f29ULL, { 0x254ef0fe, 0x435fcf50 }, 0x1a2e449c1ULL },269 { 0x27b85d8d7ULL, { 0x304c8220, 0x5de678f2 }, 0x146e3befbULL },270 { 0x1d362e36bULL, { 0x36c85b12, 0x37a66f55 }, 0x1cc19b8e7ULL },271 { 0x155fd48c7ULL, { 0xf5894d, 0x1256108 }, 0x11e383604ULL },272 { 0xb5db2d15ULL, { 0x39bb26c5, 0x5bdcda3e }, 0x72499259ULL },273 { 0x153990298ULL, { 0x48921c09, 0x706eb817 }, 0xdb3268e7ULL },274 { 0x28a7c3ed7ULL, { 0x1f776fd7, 0x349f7a70 }, 0x184f73ae2ULL },275 { 0x724dbeabULL, { 0x1bd149f5, 0x253a085e }, 0x5569c0b3ULL },276 { 0xd8f0c513ULL, { 0x18c8cc4c, 0x1b72bad0 }, 0xc3e30642ULL },277 { 0x17ce3dcbULL, { 0x1e4c6260, 0x233b359e }, 0x1478f4afULL },278 { 0x1ce036ce0ULL, { 0x29e3c8af, 0x5318dd4a }, 0xe8e76195ULL },279 { 0x1473ae2aULL, { 0x29b897ba, 0x2be29378 }, 0x13718185ULL },280 { 0x1dd41aa68ULL, { 0x3d0a4441, 0x5a0e8f12 }, 0x1437b6bbfULL },281 { 0x1b49e4a53ULL, { 0x3430c1fe, 0x5a204aed }, 0xfcd6852fULL },282 { 0x217941b19ULL, { 0x12ced2bd, 0x21b68310 }, 0x12aca65b1ULL },283 { 0xac6a4dc8ULL, { 0x3ed68da8, 0x6fdca34c }, 0x60da926dULL },284 { 0x1c503a4e7ULL, { 0xfcbbd32, 0x11e48d17 }, 0x18fec7d37ULL },285 { 0x1c885855ULL, { 0x213e919d, 0x25941897 }, 0x193de742ULL },286 { 0x29b9c168eULL, { 0x2b644aea, 0x45725ee7 }, 0x1a122e5d4ULL },287 { 0x806a33f2ULL, { 0x30a80a23, 0x5063733a }, 0x4db9a264ULL },288 { 0x282afc96bULL, { 0x143ae554, 0x1a9863ff }, 0x1e8de5204ULL },289 // Data for scaling that results in > 64 bit division.290 { 0x23ca5f2f672ca41cULL, { 0xecbc641, 0x111373f7 }, 0x1f0301e5c76869c6ULL },291 { 0x5e4f2468142265e3ULL, { 0x1ddf5837, 0x32189233 }, 0x383ca7bad6053ac9ULL },292 { 0x277a1a6f6b266bf6ULL, { 0x415d81a8, 0x61eb5e1e }, 0x1a5a3e1d1c9e8540ULL },293 { 0x1bdbb49a237035cbULL, { 0xea5bf17, 0x1d25ffb3 }, 0xdffc51c5cb51cf1ULL },294 { 0x2bce6d29b64fb8ULL, { 0x3bfd5631, 0x7525c9bb }, 0x166ebedd9581fdULL },295 { 0x3a02116103df5013ULL, { 0x2ee18a83, 0x3299aea8 }, 0x35be89227276f105ULL },296 { 0x7b5762390799b18cULL, { 0x12f8e5b9, 0x2563bcd4 }, 0x3e960077695655a3ULL },297 { 0x69cfd72537021579ULL, { 0x4c35f468, 0x6a40feee }, 0x4be4cb38695a4f30ULL },298 { 0x49dfdf835120f1c1ULL, { 0x8cb3759, 0x559eb891 }, 0x79663f6e3c8d8f6ULL },299 { 0x74b5be5c27676381ULL, { 0x47e4c5e0, 0x7c7b19ff }, 0x4367d2dfb22b3265ULL },300 { 0x4f50f97075e7f431ULL, { 0x9a50a17, 0x11cd1185 }, 0x2af952b30374f382ULL },301 { 0x2f8b0d712e393be4ULL, { 0x1487e386, 0x15aa356e }, 0x2d0df3649b2b19fcULL },302 { 0x224c1c75999d3deULL, { 0x3b2df0ea, 0x4523b100 }, 0x1d5b481d160dd8bULL },303 { 0x2bcbcea22a399a76ULL, { 0x28b58212, 0x48dd013e }, 0x187814d0610c8a56ULL },304 { 0x1dbfca91257cb2d1ULL, { 0x1a8c04d9, 0x5e92502c }, 0x859cf7d19e83ad0ULL },305 { 0x7f20039b57cda935ULL, { 0xeccf651, 0x323f476e }, 0x25720cd9054634bdULL },306 { 0x40512c6a586aa087ULL, { 0x113b0423, 0x398c9eab }, 0x1341c03dbb662054ULL },307 { 0x63d802693f050a11ULL, { 0xf50cdd6, 0xfce2a44 }, 0x60c0177b667a4feaULL },308 { 0x2d956b422838de77ULL, { 0xb2d345b, 0x1321e557 }, 0x1aa0ed16b094575cULL },309 { 0x5a1cdf0c1657bc91ULL, { 0x1d77bb0c, 0x1f991ff1 }, 0x54097ee9907290eaULL },310 { 0x3801b26d7e00176bULL, { 0xeed25da, 0x1a819d8b }, 0x1f89e96a616b9abeULL },311 { 0x37655e74338e1e45ULL, { 0x300e170a, 0x5a1595fe }, 0x1d8cfb55ff6a6dbcULL },312 { 0x7b38703f2a84e6ULL, { 0x66d9053, 0xc79b6b9 }, 0x3f7d4c91b9afb9ULL },313 { 0x2245063c0acb3215ULL, { 0x30ce2f5b, 0x610e7271 }, 0x113b916455fe2560ULL },314 { 0x6bc195877b7b8a7eULL, { 0x392004aa, 0x4a24e60c }, 0x530594fabfc81cc3ULL },315 { 0x40a3fde23c7b43dbULL, { 0x4e712195, 0x6553e56e }, 0x320a799bc205c78dULL },316 { 0x1d3dfc2866fbccbaULL, { 0x5075b517, 0x5fc42245 }, 0x18917f00745cb781ULL },317 { 0x19aeb14045a61121ULL, { 0x1bf6edec, 0x707e2f4b }, 0x6626672aa2ba10aULL },318 { 0x44ff90486c531e9fULL, { 0x66598a, 0x8a90dc }, 0x32f6f2b097001598ULL },319 { 0x3f3e7121092c5bcbULL, { 0x1c754df7, 0x5951a1b9 }, 0x14267f50d4971583ULL },320 { 0x60e2dafb7e50a67eULL, { 0x4d96c66e, 0x65bd878d }, 0x49e317155d75e883ULL },321 { 0x656286667e0e6e29ULL, { 0x9d971a2, 0xacda23b }, 0x5c6ee3159e1deac3ULL },322 { 0x1114e0974255d507ULL, { 0x1c693, 0x2d6ff }, 0xaae42e4be5f9f8dULL },323 { 0x508c8baf3a70ff5aULL, { 0x3b26b779, 0x6ad78745 }, 0x2c983876178ed5b1ULL },324 { 0x5b47bc666bf1f9cfULL, { 0x10a87ed6, 0x187d358a }, 0x3e1767153bea720aULL },325 { 0x50954e3744460395ULL, { 0x7a42263, 0xcdaa048 }, 0x2fe739f0944a023cULL },326 { 0x20020b406550dd8fULL, { 0x3318539, 0x42eead0 }, 0x186f326307c0d985ULL },327 { 0x5bcb0b872439ffd5ULL, { 0x6f61fb2, 0x9af7344 }, 0x41fa1e3c47f0f80dULL },328 { 0x7a670f365db87a53ULL, { 0x417e102, 0x3bb54c67 }, 0x8642a551d0f41b0ULL },329 { 0x1ef0db1e7bab1cd0ULL, { 0x2b60cf38, 0x4188f78f }, 0x147ae0d63fc0575aULL }330 };331 332 for (const auto &T : Tests) {333 EXPECT_EQ(T.Result, BP(T.Prob[0], T.Prob[1]).scale(T.Num));334 }335}336 337TEST(BranchProbabilityTest, NormalizeProbabilities) {338 const auto UnknownProb = BranchProbability::getUnknown();339 {340 SmallVector<BranchProbability, 2> Probs{{0, 1}, {0, 1}};341 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());342 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[0].getNumerator());343 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[1].getNumerator());344 }345 {346 SmallVector<BranchProbability, 2> Probs{{0, 1}, {1, 1}};347 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());348 EXPECT_EQ(0u, Probs[0].getNumerator());349 EXPECT_EQ(BranchProbability::getDenominator(), Probs[1].getNumerator());350 }351 {352 SmallVector<BranchProbability, 2> Probs{{1, 100}, {1, 100}};353 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());354 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[0].getNumerator());355 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[1].getNumerator());356 }357 {358 SmallVector<BranchProbability, 2> Probs{{1, 1}, {1, 1}};359 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());360 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[0].getNumerator());361 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[1].getNumerator());362 }363 {364 SmallVector<BranchProbability, 3> Probs{{1, 1}, {1, 1}, {1, 1}};365 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());366 EXPECT_EQ(BranchProbability::getDenominator() / 3 + 1,367 Probs[0].getNumerator());368 EXPECT_EQ(BranchProbability::getDenominator() / 3 + 1,369 Probs[1].getNumerator());370 EXPECT_EQ(BranchProbability::getDenominator() / 3 + 1,371 Probs[2].getNumerator());372 }373 {374 SmallVector<BranchProbability, 2> Probs{{0, 1}, UnknownProb};375 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());376 EXPECT_EQ(0U, Probs[0].getNumerator());377 EXPECT_EQ(BranchProbability::getDenominator(), Probs[1].getNumerator());378 }379 {380 SmallVector<BranchProbability, 2> Probs{{1, 1}, UnknownProb};381 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());382 EXPECT_EQ(BranchProbability::getDenominator(), Probs[0].getNumerator());383 EXPECT_EQ(0U, Probs[1].getNumerator());384 }385 {386 SmallVector<BranchProbability, 2> Probs{{1, 2}, UnknownProb};387 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());388 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[0].getNumerator());389 EXPECT_EQ(BranchProbability::getDenominator() / 2, Probs[1].getNumerator());390 }391 {392 SmallVector<BranchProbability, 4> Probs{393 {1, 2}, {1, 2}, {1, 2}, UnknownProb};394 BranchProbability::normalizeProbabilities(Probs.begin(), Probs.end());395 EXPECT_EQ(BranchProbability::getDenominator() / 3 + 1,396 Probs[0].getNumerator());397 EXPECT_EQ(BranchProbability::getDenominator() / 3 + 1,398 Probs[1].getNumerator());399 EXPECT_EQ(BranchProbability::getDenominator() / 3 + 1,400 Probs[2].getNumerator());401 EXPECT_EQ(0U, Probs[3].getNumerator());402 }403}404 405}406