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math.stats: update math.stats using generics (#11482)

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This commit is contained in:
Ulises Jeremias Cornejo Fandos
2021-09-13 04:20:38 -03:00
committed by GitHub
parent 30029eaf5d
commit 480fe8041a
2 changed files with 356 additions and 120 deletions
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17
vlib/math/stats/stats_test.v
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@@ -1,5 +1,5 @@
import math.stats
import math
import math.stats
fn test_freq() {
// Tests were also verified on Wolfram Alpha
@@ -44,8 +44,9 @@ fn test_geometric_mean() {
data = [f64(-3.0), f64(67.31), f64(4.4), f64(1.89)]
o = stats.geometric_mean(data)
// Some issue with precision comparison in f64 using == operator hence serializing to string
assert o.str() == 'nan' || o.str() == '-nan' || o.str() == '-1.#IND00' || o == f64(0)
|| o.str() == '-nan(ind)' // Because in math it yields a complex number
ok := o.str() == 'nan' || o.str() == '-nan' || o.str() == '-1.#IND00' || o == f64(0)
|| o.str() == '-nan(ind)'
assert ok // Because in math it yields a complex number
data = [f64(12.0), f64(7.88), f64(76.122), f64(54.83)]
o = stats.geometric_mean(data)
// Some issue with precision comparison in f64 using == operator hence serializing to string
@@ -194,18 +195,18 @@ fn test_sample_stddev() {
assert tst_res(o.str(), '33.263639')
}
fn test_mean_absdev() {
fn test_absdev() {
// Tests were also verified on Wolfram Alpha
mut data := [f64(10.0), f64(4.45), f64(5.9), f64(2.7)]
mut o := stats.mean_absdev(data)
mut o := stats.absdev(data)
// Some issue with precision comparison in f64 using == operator hence serializing to string
assert tst_res(o.str(), '2.187500')
data = [f64(-3.0), f64(67.31), f64(4.4), f64(1.89)]
o = stats.mean_absdev(data)
o = stats.absdev(data)
// Some issue with precision comparison in f64 using == operator hence serializing to string
assert tst_res(o.str(), '24.830000')
data = [f64(12.0), f64(7.88), f64(76.122), f64(54.83)]
o = stats.mean_absdev(data)
o = stats.absdev(data)
// Some issue with precision comparison in f64 using == operator hence serializing to string
assert tst_res(o.str(), '27.768000')
}
@@ -262,7 +263,7 @@ fn test_passing_empty() {
assert stats.sample_variance(data) == f64(0)
assert stats.population_stddev(data) == f64(0)
assert stats.sample_stddev(data) == f64(0)
assert stats.mean_absdev(data) == f64(0)
assert stats.absdev(data) == f64(0)
assert stats.min(data) == f64(0)
assert stats.max(data) == f64(0)
assert stats.range(data) == f64(0)