forked from nfnt/resize
/
resize_test.go
63 lines (52 loc) · 1.11 KB
/
resize_test.go
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
package resize
import (
"image"
"image/color"
"runtime"
"testing"
)
var img = image.NewGray16(image.Rect(0, 0, 3, 3))
func init() {
runtime.GOMAXPROCS(runtime.NumCPU())
img.Set(1, 1, color.White)
}
func Test_Nearest(t *testing.T) {
m := Resize(6, 0, img, NearestNeighbor)
if m.At(2, 2) == m.At(3, 3) {
t.Fail()
}
}
func Test_Param1(t *testing.T) {
m := Resize(0, 0, img, NearestNeighbor)
if m.Bounds() != img.Bounds() {
t.Fail()
}
}
func Test_Param2(t *testing.T) {
m := Resize(100, 0, img, NearestNeighbor)
if m.Bounds() != image.Rect(0, 0, 100, 100) {
t.Fail()
}
}
func Test_ZeroImg(t *testing.T) {
zeroImg := image.NewGray16(image.Rect(0, 0, 0, 0))
m := Resize(0, 0, zeroImg, NearestNeighbor)
if m.Bounds() != zeroImg.Bounds() {
t.Fail()
}
}
func Benchmark_BigResize(b *testing.B) {
var m image.Image
for i := 0; i < b.N; i++ {
m = Resize(1000, 1000, img, Lanczos3)
}
m.At(0, 0)
}
func Benchmark_Reduction(b *testing.B) {
largeImg := image.NewRGBA(image.Rect(0, 0, 1000, 1000))
var m image.Image
for i := 0; i < b.N; i++ {
m = Resize(300, 300, largeImg, Bicubic)
}
m.At(0, 0)
}