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platform specific #ifs

release/4.3a0
Varun Agrawal 2025-01-08 12:44:39 -05:00
parent 8cf2123b5c
commit 72da68ebf3
1 changed files with 18 additions and 12 deletions
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30
gtsam/hybrid/tests/testHybridBayesNet.cpp
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@ -552,19 +552,25 @@ TEST(HybridBayesNet, Sampling) {
EXPECT_LONGS_EQUAL(2, average_continuous.size());
EXPECT_LONGS_EQUAL(num_samples, discrete_samples.size());
// Regressions don't work across platforms :-(
// // regression for specific RNG seed
// double discrete_sum =
// std::accumulate(discrete_samples.begin(), discrete_samples.end(),
// decltype(discrete_samples)::value_type(0));
// EXPECT_DOUBLES_EQUAL(0.477, discrete_sum / num_samples, 1e-9);
// regression for specific RNG seed
double discrete_sum =
std::accumulate(discrete_samples.begin(), discrete_samples.end(),
decltype(discrete_samples)::value_type(0));
#if __APPLE__
EXPECT_DOUBLES_EQUAL(0.477, discrete_sum / num_samples, 1e-9);
#elif __linux__
EXPECT_DOUBLES_EQUAL(0.477, discrete_sum / num_samples, 1e-9);
#endif
// VectorValues expected;
// expected.insert({X(0), Vector1(-0.0131207162712)});
// expected.insert({X(1), Vector1(-0.499026377568)});
// // regression for specific RNG seed
// EXPECT(assert_equal(expected, average_continuous.scale(1.0 /
// num_samples)));
VectorValues expected;
expected.insert({X(0), Vector1(-0.0131207162712)});
expected.insert({X(1), Vector1(-0.499026377568)});
// regression for specific RNG seed
#if __APPLE__
EXPECT(assert_equal(expected, average_continuous.scale(1.0 / num_samples)));
#elif __linux__
EXPECT(assert_equal(expected, average_continuous.scale(1.0 / num_samples)));
#endif
}
/* ****************************************************************************/