| // SPDX-License-Identifier: GPL-2.0 |
| #include <kunit/test.h> |
| |
| #include "mean_and_variance.h" |
| |
| #define MAX_SQR (SQRT_U64_MAX*SQRT_U64_MAX) |
| |
| static void mean_and_variance_basic_test(struct kunit *test) |
| { |
| struct mean_and_variance s = {}; |
| |
| mean_and_variance_update(&s, 2); |
| mean_and_variance_update(&s, 2); |
| |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_mean(s), 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_variance(s), 0); |
| KUNIT_EXPECT_EQ(test, s.n, 2); |
| |
| mean_and_variance_update(&s, 4); |
| mean_and_variance_update(&s, 4); |
| |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_mean(s), 3); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_variance(s), 1); |
| KUNIT_EXPECT_EQ(test, s.n, 4); |
| } |
| |
| /* |
| * Test values computed using a spreadsheet from the psuedocode at the bottom: |
| * https://fanf2.user.srcf.net/hermes/doc/antiforgery/stats.pdf |
| */ |
| |
| static void mean_and_variance_weighted_test(struct kunit *test) |
| { |
| struct mean_and_variance_weighted s = { }; |
| |
| mean_and_variance_weighted_update(&s, 10, false, 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 2), 10); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 2), 0); |
| |
| mean_and_variance_weighted_update(&s, 20, true, 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 2), 12); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 2), 18); |
| |
| mean_and_variance_weighted_update(&s, 30, true, 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 2), 16); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 2), 72); |
| |
| s = (struct mean_and_variance_weighted) { }; |
| |
| mean_and_variance_weighted_update(&s, -10, false, 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 2), -10); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 2), 0); |
| |
| mean_and_variance_weighted_update(&s, -20, true, 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 2), -12); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 2), 18); |
| |
| mean_and_variance_weighted_update(&s, -30, true, 2); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 2), -16); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 2), 72); |
| } |
| |
| static void mean_and_variance_weighted_advanced_test(struct kunit *test) |
| { |
| struct mean_and_variance_weighted s = { }; |
| bool initted = false; |
| s64 i; |
| |
| for (i = 10; i <= 100; i += 10) { |
| mean_and_variance_weighted_update(&s, i, initted, 8); |
| initted = true; |
| } |
| |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 8), 11); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 8), 107); |
| |
| s = (struct mean_and_variance_weighted) { }; |
| initted = false; |
| |
| for (i = -10; i >= -100; i -= 10) { |
| mean_and_variance_weighted_update(&s, i, initted, 8); |
| initted = true; |
| } |
| |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s, 8), -11); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s, 8), 107); |
| } |
| |
| static void do_mean_and_variance_test(struct kunit *test, |
| s64 initial_value, |
| s64 initial_n, |
| s64 n, |
| unsigned weight, |
| s64 *data, |
| s64 *mean, |
| s64 *stddev, |
| s64 *weighted_mean, |
| s64 *weighted_stddev) |
| { |
| struct mean_and_variance mv = {}; |
| struct mean_and_variance_weighted vw = { }; |
| |
| for (unsigned i = 0; i < initial_n; i++) { |
| mean_and_variance_update(&mv, initial_value); |
| mean_and_variance_weighted_update(&vw, initial_value, false, weight); |
| |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_mean(mv), initial_value); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_stddev(mv), 0); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(vw, weight), initial_value); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_stddev(vw, weight),0); |
| } |
| |
| for (unsigned i = 0; i < n; i++) { |
| mean_and_variance_update(&mv, data[i]); |
| mean_and_variance_weighted_update(&vw, data[i], true, weight); |
| |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_mean(mv), mean[i]); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_get_stddev(mv), stddev[i]); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(vw, weight), weighted_mean[i]); |
| KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_stddev(vw, weight),weighted_stddev[i]); |
| } |
| |
| KUNIT_EXPECT_EQ(test, mv.n, initial_n + n); |
| } |
| |
| /* Test behaviour with a single outlier, then back to steady state: */ |
| static void mean_and_variance_test_1(struct kunit *test) |
| { |
| s64 d[] = { 100, 10, 10, 10, 10, 10, 10 }; |
| s64 mean[] = { 22, 21, 20, 19, 18, 17, 16 }; |
| s64 stddev[] = { 32, 29, 28, 27, 26, 25, 24 }; |
| s64 weighted_mean[] = { 32, 27, 22, 19, 17, 15, 14 }; |
| s64 weighted_stddev[] = { 38, 35, 31, 27, 24, 21, 18 }; |
| |
| do_mean_and_variance_test(test, 10, 6, ARRAY_SIZE(d), 2, |
| d, mean, stddev, weighted_mean, weighted_stddev); |
| } |
| |
| /* Test behaviour where we switch from one steady state to another: */ |
| static void mean_and_variance_test_2(struct kunit *test) |
| { |
| s64 d[] = { 100, 100, 100, 100, 100 }; |
| s64 mean[] = { 22, 32, 40, 46, 50 }; |
| s64 stddev[] = { 32, 39, 42, 44, 45 }; |
| s64 weighted_mean[] = { 32, 49, 61, 71, 78 }; |
| s64 weighted_stddev[] = { 38, 44, 44, 41, 38 }; |
| |
| do_mean_and_variance_test(test, 10, 6, ARRAY_SIZE(d), 2, |
| d, mean, stddev, weighted_mean, weighted_stddev); |
| } |
| |
| static void mean_and_variance_fast_divpow2(struct kunit *test) |
| { |
| s64 i; |
| u8 d; |
| |
| for (i = 0; i < 100; i++) { |
| d = 0; |
| KUNIT_EXPECT_EQ(test, fast_divpow2(i, d), div_u64(i, 1LLU << d)); |
| KUNIT_EXPECT_EQ(test, abs(fast_divpow2(-i, d)), div_u64(i, 1LLU << d)); |
| for (d = 1; d < 32; d++) { |
| KUNIT_EXPECT_EQ_MSG(test, abs(fast_divpow2(i, d)), |
| div_u64(i, 1 << d), "%lld %u", i, d); |
| KUNIT_EXPECT_EQ_MSG(test, abs(fast_divpow2(-i, d)), |
| div_u64(i, 1 << d), "%lld %u", -i, d); |
| } |
| } |
| } |
| |
| static void mean_and_variance_u128_basic_test(struct kunit *test) |
| { |
| u128_u a = u64s_to_u128(0, U64_MAX); |
| u128_u a1 = u64s_to_u128(0, 1); |
| u128_u b = u64s_to_u128(1, 0); |
| u128_u c = u64s_to_u128(0, 1LLU << 63); |
| u128_u c2 = u64s_to_u128(U64_MAX, U64_MAX); |
| |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_add(a, a1)), 1); |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_add(a, a1)), 0); |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_add(a1, a)), 1); |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_add(a1, a)), 0); |
| |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_sub(b, a1)), U64_MAX); |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_sub(b, a1)), 0); |
| |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_shl(c, 1)), 1); |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_shl(c, 1)), 0); |
| |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_square(U64_MAX)), U64_MAX - 1); |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_square(U64_MAX)), 1); |
| |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_div(b, 2)), 1LLU << 63); |
| |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_div(c2, 2)), U64_MAX >> 1); |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_div(c2, 2)), U64_MAX); |
| |
| KUNIT_EXPECT_EQ(test, u128_hi(u128_div(u128_shl(u64_to_u128(U64_MAX), 32), 2)), U32_MAX >> 1); |
| KUNIT_EXPECT_EQ(test, u128_lo(u128_div(u128_shl(u64_to_u128(U64_MAX), 32), 2)), U64_MAX << 31); |
| } |
| |
| static struct kunit_case mean_and_variance_test_cases[] = { |
| KUNIT_CASE(mean_and_variance_fast_divpow2), |
| KUNIT_CASE(mean_and_variance_u128_basic_test), |
| KUNIT_CASE(mean_and_variance_basic_test), |
| KUNIT_CASE(mean_and_variance_weighted_test), |
| KUNIT_CASE(mean_and_variance_weighted_advanced_test), |
| KUNIT_CASE(mean_and_variance_test_1), |
| KUNIT_CASE(mean_and_variance_test_2), |
| {} |
| }; |
| |
| static struct kunit_suite mean_and_variance_test_suite = { |
| .name = "mean and variance tests", |
| .test_cases = mean_and_variance_test_cases |
| }; |
| |
| kunit_test_suite(mean_and_variance_test_suite); |
| |
| MODULE_AUTHOR("Daniel B. Hill"); |
| MODULE_LICENSE("GPL"); |