1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
|
// Copyright 2021 syzkaller project authors. All rights reserved.
// Use of this source code is governed by Apache 2 LICENSE that can be found in the LICENSE file.
package stats
import (
"reflect"
"testing"
)
func TestMedian(t *testing.T) {
tests := []struct {
input []float64
minMedian float64
maxMedian float64
}{
{
input: []float64{1, 2, 3},
minMedian: 1.99, // we cannot do exact floating point equality comparison
maxMedian: 2.01,
},
{
input: []float64{0, 1, 2, 3},
minMedian: 1.0,
maxMedian: 2.0,
},
}
for _, test := range tests {
sample := Sample{Xs: test.input}
median := sample.Median()
if median < test.minMedian || median > test.maxMedian {
t.Errorf("sample %v, median got %v, median expected [%v;%v]",
test.input, median, test.minMedian, test.maxMedian)
}
}
}
func TestRemoveOutliers(t *testing.T) {
// Some tests just to check the overall sanity of the method.
tests := []struct {
input []float64
output []float64
}{
{
input: []float64{-20, 1, 2, 3, 4, 5},
output: []float64{1, 2, 3, 4, 5},
},
{
input: []float64{1, 2, 3, 4, 25},
output: []float64{1, 2, 3, 4},
},
{
input: []float64{-10, -5, 0, 5, 10, 15},
output: []float64{-10, -5, 0, 5, 10, 15},
},
}
for _, test := range tests {
sample := Sample{Xs: test.input}
result := sample.RemoveOutliers()
result.Sort()
if !reflect.DeepEqual(result.Xs, test.output) {
t.Errorf("input: %v, expected no outliers: %v, got: %v",
test.input, test.output, result.Xs)
}
}
}
|
