support Windows
parent
c00f6631ad
commit
212c79289f
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@ -560,6 +560,8 @@ TEST(HybridBayesNet, Sampling) {
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EXPECT_DOUBLES_EQUAL(0.477, discrete_sum / num_samples, 1e-9);
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#elif __linux__
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EXPECT_DOUBLES_EQUAL(0.477, discrete_sum / num_samples, 1e-9);
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#elif _WIN32
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EXPECT_DOUBLES_EQUAL(0.477, discrete_sum / num_samples, 1e-9);
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#endif
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VectorValues expected;
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@ -570,6 +572,8 @@ TEST(HybridBayesNet, Sampling) {
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EXPECT(assert_equal(expected, average_continuous.scale(1.0 / num_samples)));
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#elif __linux__
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EXPECT(assert_equal(expected, average_continuous.scale(1.0 / num_samples)));
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#elif _WIN32
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EXPECT(assert_equal(expected, average_continuous.scale(1.0 / num_samples)));
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#endif
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}
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@ -194,6 +194,9 @@ TEST(GaussianBayesNet, sample) {
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#elif __linux__
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EXPECT(assert_equal(Vector2(20.0129382, 40.0039798), actual[X(1)], 1e-5));
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EXPECT(assert_equal(Vector2(110.032083, 230.039811), actual[X(0)], 1e-5));
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#elif _WIN32
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EXPECT(assert_equal(Vector2(20.0129382, 40.0039798), actual[X(1)], 1e-5));
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EXPECT(assert_equal(Vector2(110.032083, 230.039811), actual[X(0)], 1e-5));
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#endif
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}
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@ -469,6 +469,8 @@ TEST(GaussianConditional, sample) {
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EXPECT(assert_equal(Vector2(31.0111856, 64.9850775), actual2[X(0)], 1e-5));
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#elif __linux__
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EXPECT(assert_equal(Vector2(31.0111856, 64.9850775), actual2[X(0)], 1e-5));
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#elif _WIN32
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EXPECT(assert_equal(Vector2(31.0111856, 64.9850775), actual2[X(0)], 1e-5));
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#endif
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}
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