Author | Tokens | Token Proportion | Commits | Commit Proportion |
---|---|---|---|---|
Daniel Hill | 1169 | 63.39% | 1 | 50.00% |
Kent Overstreet | 675 | 36.61% | 1 | 50.00% |
Total | 1844 | 2 |
// 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 = { .weight = 2 }; mean_and_variance_weighted_update(&s, 10); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), 10); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 0); mean_and_variance_weighted_update(&s, 20); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), 12); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 18); mean_and_variance_weighted_update(&s, 30); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), 16); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 72); s = (struct mean_and_variance_weighted) { .weight = 2 }; mean_and_variance_weighted_update(&s, -10); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), -10); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 0); mean_and_variance_weighted_update(&s, -20); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), -12); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 18); mean_and_variance_weighted_update(&s, -30); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), -16); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 72); } static void mean_and_variance_weighted_advanced_test(struct kunit *test) { struct mean_and_variance_weighted s = { .weight = 8 }; s64 i; for (i = 10; i <= 100; i += 10) mean_and_variance_weighted_update(&s, i); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), 11); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 107); s = (struct mean_and_variance_weighted) { .weight = 8 }; for (i = -10; i >= -100; i -= 10) mean_and_variance_weighted_update(&s, i); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_mean(s), -11); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_variance(s), 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 = { .weight = weight }; for (unsigned i = 0; i < initial_n; i++) { mean_and_variance_update(&mv, initial_value); mean_and_variance_weighted_update(&vw, initial_value); 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), initial_value); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_stddev(vw),0); } for (unsigned i = 0; i < n; i++) { mean_and_variance_update(&mv, data[i]); mean_and_variance_weighted_update(&vw, data[i]); 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), weighted_mean[i]); KUNIT_EXPECT_EQ(test, mean_and_variance_weighted_get_stddev(vw),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); } static void mean_and_variance_test_2(struct kunit *test) { s64 d[] = { 100, 10, 10, 10, 10, 10, 10 }; s64 mean[] = { 10, 10, 10, 10, 10, 10, 10 }; s64 stddev[] = { 9, 9, 9, 9, 9, 9, 9 }; 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_3(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_test_4(struct kunit *test) { s64 d[] = { 100, 100, 100, 100, 100 }; s64 mean[] = { 10, 11, 12, 13, 14 }; s64 stddev[] = { 9, 13, 15, 17, 19 }; 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), KUNIT_CASE(mean_and_variance_test_3), KUNIT_CASE(mean_and_variance_test_4), {} }; 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");
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