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remove unused benchmark functions

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This commit is contained in:
Jonathan J Lawlor
2014-12-21 18:57:00 -05:00
parent 831ced4cf7
commit 7aa58b6a94
1 changed files with 0 additions and 92 deletions
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92
covariancematrix_test.go
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@@ -139,15 +139,6 @@ func BenchmarkCovarianceMatrixSmallxMedium(b *testing.B) {
benchmarkCovarianceMatrix(b, x) benchmarkCovarianceMatrix(b, x)
} }
/*func BenchmarkCovarianceMatrixSmallxLarge(b *testing.B) {
x := randMat(SMALL, LARGE)
benchmarkCovarianceMatrix(b, x)
}
func BenchmarkCovarianceMatrixSmallxHuge(b *testing.B) {
x := randMat(SMALL, HUGE)
benchmarkCovarianceMatrix(b, x)
}*/
func BenchmarkCovarianceMatrixMediumxSmall(b *testing.B) { func BenchmarkCovarianceMatrixMediumxSmall(b *testing.B) {
// 1000 * 10 elements // 1000 * 10 elements
x := randMat(MEDIUM, SMALL) x := randMat(MEDIUM, SMALL)
@@ -159,55 +150,18 @@ func BenchmarkCovarianceMatrixMediumxMedium(b *testing.B) {
benchmarkCovarianceMatrix(b, x) benchmarkCovarianceMatrix(b, x)
} }
/*func BenchmarkCovarianceMatrixMediumxLarge(b *testing.B) {
x := randMat(MEDIUM, LARGE)
benchmarkCovarianceMatrix(b, x)
}
func BenchmarkCovarianceMatrixMediumxHuge(b *testing.B) {
x := randMat(MEDIUM, HUGE)
benchmarkCovarianceMatrix(b, x)
}*/
func BenchmarkCovarianceMatrixLargexSmall(b *testing.B) { func BenchmarkCovarianceMatrixLargexSmall(b *testing.B) {
// 1e5 * 10 elements // 1e5 * 10 elements
x := randMat(LARGE, SMALL) x := randMat(LARGE, SMALL)
benchmarkCovarianceMatrix(b, x) benchmarkCovarianceMatrix(b, x)
} }
/*func BenchmarkCovarianceMatrixLargexMedium(b *testing.B) {
// 1e5 * 1000 elements
x := randMat(LARGE, MEDIUM)
benchmarkCovarianceMatrix(b, x)
}
func BenchmarkCovarianceMatrixLargexLarge(b *testing.B) {
x := randMat(LARGE, LARGE)
benchmarkCovarianceMatrix(b, x)
}
func BenchmarkCovarianceMatrixLargexHuge(b *testing.B) {
x := randMat(LARGE, HUGE)
benchmarkCovarianceMatrix(b, x)
}*/
func BenchmarkCovarianceMatrixHugexSmall(b *testing.B) { func BenchmarkCovarianceMatrixHugexSmall(b *testing.B) {
// 1e7 * 10 elements // 1e7 * 10 elements
x := randMat(HUGE, SMALL) x := randMat(HUGE, SMALL)
benchmarkCovarianceMatrix(b, x) benchmarkCovarianceMatrix(b, x)
} }
/*func BenchmarkCovarianceMatrixHugexMedium(b *testing.B) {
// 1e7 * 1000 elements
x := randMat(HUGE, MEDIUM)
benchmarkCovarianceMatrix(b, x)
}
func BenchmarkCovarianceMatrixHugexLarge(b *testing.B) {
x := randMat(HUGE, LARGE)
benchmarkCovarianceMatrix(b, x)
}
func BenchmarkCovarianceMatrixHugexHuge(b *testing.B) {
x := randMat(HUGE, HUGE)
benchmarkCovarianceMatrix(b, x)
}*/
func BenchmarkCovarianceMatrixSmallxSmallInPlace(b *testing.B) { func BenchmarkCovarianceMatrixSmallxSmallInPlace(b *testing.B) {
// 10 * 10 elements // 10 * 10 elements
x := randMat(SMALL, SMALL) x := randMat(SMALL, SMALL)
@@ -219,15 +173,6 @@ func BenchmarkCovarianceMatrixSmallxMediumInPlace(b *testing.B) {
benchmarkCovarianceMatrixInPlace(b, x) benchmarkCovarianceMatrixInPlace(b, x)
} }
/*func BenchmarkCovarianceMatrixSmallxLargeInPlace(b *testing.B) {
x := randMat(SMALL, LARGE)
benchmarkCovarianceMatrixInPlace(b, x)
}
func BenchmarkCovarianceMatrixSmallxHugeInPlace(b *testing.B) {
x := randMat(SMALL, HUGE)
benchmarkCovarianceMatrixInPlace(b, x)
}*/
func BenchmarkCovarianceMatrixMediumxSmallInPlace(b *testing.B) { func BenchmarkCovarianceMatrixMediumxSmallInPlace(b *testing.B) {
// 1000 * 10 elements // 1000 * 10 elements
x := randMat(MEDIUM, SMALL) x := randMat(MEDIUM, SMALL)
@@ -239,51 +184,14 @@ func BenchmarkCovarianceMatrixMediumxMediumInPlace(b *testing.B) {
benchmarkCovarianceMatrixInPlace(b, x) benchmarkCovarianceMatrixInPlace(b, x)
} }
/*func BenchmarkCovarianceMatrixMediumxLargeInPlace(b *testing.B) {
x := randMat(MEDIUM, LARGE)
benchmarkCovarianceMatrixInPlace(b, x)
}
func BenchmarkCovarianceMatrixMediumxHugeInPlace(b *testing.B) {
x := randMat(MEDIUM, HUGE)
benchmarkCovarianceMatrixInPlace(b, x)
}*/
func BenchmarkCovarianceMatrixLargexSmallInPlace(b *testing.B) { func BenchmarkCovarianceMatrixLargexSmallInPlace(b *testing.B) {
// 1e5 * 10 elements // 1e5 * 10 elements
x := randMat(LARGE, SMALL) x := randMat(LARGE, SMALL)
benchmarkCovarianceMatrixInPlace(b, x) benchmarkCovarianceMatrixInPlace(b, x)
} }
/*func BenchmarkCovarianceMatrixLargexMediumInPlace(b *testing.B) {
// 1e5 * 1000 elements
x := randMat(LARGE, MEDIUM)
benchmarkCovarianceMatrixInPlace(b, x)
}
func BenchmarkCovarianceMatrixLargexLargeInPlace(b *testing.B) {
x := randMat(LARGE, LARGE)
benchmarkCovarianceMatrixInPlace(b, x)
}
func BenchmarkCovarianceMatrixLargexHugeInPlace(b *testing.B) {
x := randMat(LARGE, HUGE)
benchmarkCovarianceMatrixInPlace(b, x)
}*/
func BenchmarkCovarianceMatrixHugexSmallInPlace(b *testing.B) { func BenchmarkCovarianceMatrixHugexSmallInPlace(b *testing.B) {
// 1e7 * 10 elements // 1e7 * 10 elements
x := randMat(HUGE, SMALL) x := randMat(HUGE, SMALL)
benchmarkCovarianceMatrixInPlace(b, x) benchmarkCovarianceMatrixInPlace(b, x)
} }
/*func BenchmarkCovarianceMatrixHugexMediumInPlace(b *testing.B) {
// 1e7 * 1000 elements
x := randMat(HUGE, MEDIUM)
benchmarkCovarianceMatrixInPlace(b, x)
}
func BenchmarkCovarianceMatrixHugexLargeInPlace(b *testing.B) {
x := randMat(HUGE, LARGE)
benchmarkCovarianceMatrixInPlace(b, x)
}
func BenchmarkCovarianceMatrixHugexHugeInPlace(b *testing.B) {
x := randMat(HUGE, HUGE)
benchmarkCovarianceMatrixInPlace(b, x)
}*/