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mirror of https://github.com/sjwhitworth/golearn.git synced 2025-04-26 13:49:14 +08:00

Run goftm on all files ti fix indentation

This commit is contained in:
Alex Petrov 2014-05-05 08:32:38 +02:00
parent ad77c0dc7e
commit 13327e9250
6 changed files with 60 additions and 61 deletions

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@ -26,7 +26,7 @@ func (self *Chebyshev) Distance(vectorX *mat64.Dense, vectorY *mat64.Dense) floa
for i := 0; i < r1; i++ {
for j := 0; j < c1; j++ {
max = math.Max(max, math.Abs(vectorX.At(i, j) - vectorY.At(i, j)))
max = math.Max(max, math.Abs(vectorX.At(i, j)-vectorY.At(i, j)))
}
}

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@ -12,8 +12,8 @@ func TestChebyshev(t *testing.T) {
chebyshev := NewChebyshev()
Convey("Given two vectors", t, func() {
vectorX = mat64.NewDense(4, 1, []float64{ 1, 2, 3, 4 })
vectorY = mat64.NewDense(4, 1, []float64{ -5, -6, 7, 8 })
vectorX = mat64.NewDense(4, 1, []float64{1, 2, 3, 4})
vectorY = mat64.NewDense(4, 1, []float64{-5, -6, 7, 8})
Convey("When calculating distance with two vectors", func() {
result := chebyshev.Distance(vectorX, vectorY)

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@ -16,7 +16,7 @@ func cranberraDistanceStep(num float64, denom float64) float64 {
if num == .0 && denom == .0 {
return .0
} else {
return num/denom
return num / denom
}
}

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@ -12,7 +12,7 @@ func TestCranberrra(t *testing.T) {
cranberra := NewCranberra()
Convey("Given two vectors that are same", t, func() {
vec := mat64.NewDense(7, 1, []float64 { 0, 1, -2, 3.4, 5, -6.7, 89 })
vec := mat64.NewDense(7, 1, []float64{0, 1, -2, 3.4, 5, -6.7, 89})
distance := cranberra.Distance(vec, vec)
Convey("The result should be 0", func() {
@ -20,10 +20,9 @@ func TestCranberrra(t *testing.T) {
})
})
Convey("Given two vectors", t, func() {
vectorX = mat64.NewDense(5, 1, []float64{ 1, 2, 3, 4, 9 })
vectorY = mat64.NewDense(5, 1, []float64{ -5, -6, 7, 4, 3 })
vectorX = mat64.NewDense(5, 1, []float64{1, 2, 3, 4, 9})
vectorY = mat64.NewDense(5, 1, []float64{-5, -6, 7, 4, 3})
Convey("When calculating distance with two vectors", func() {
result := cranberra.Distance(vectorX, vectorY)

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@ -12,7 +12,7 @@ func TestManhattan(t *testing.T) {
manhattan := NewManhattan()
Convey("Given two vectors that are same", t, func() {
vec := mat64.NewDense(7, 1, []float64 { 0, 1, -2, 3.4, 5, -6.7, 89 })
vec := mat64.NewDense(7, 1, []float64{0, 1, -2, 3.4, 5, -6.7, 89})
distance := manhattan.Distance(vec, vec)
Convey("The result should be 0", func() {