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// Copyright ©2023 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package testlapack
import (
"math"
"testing"
"golang.org/x/exp/rand"
"gonum.org/v1/gonum/lapack"
)
type Dlanhser interface {
Dlanhs(norm lapack.MatrixNorm, n int, a []float64, lda int, work []float64) float64
}
func DlanhsTest(t *testing.T, impl Dlanhser) {
const tol = 1e-15
rnd := rand.New(rand.NewSource(1))
for _, n := range []int{0, 1, 2, 4, 9} {
for _, lda := range []int{max(1, n), n + 5} {
a := randomGeneral(n, n, lda, rnd)
for _, norm := range []lapack.MatrixNorm{lapack.MaxAbs, lapack.MaxRowSum, lapack.MaxColumnSum, lapack.Frobenius} {
var work []float64
if norm == lapack.MaxColumnSum {
work = nanSlice(n)
}
got := impl.Dlanhs(norm, a.Rows, a.Data, lda, work)
// Zero out A below the first subdiagonal.
for i := 2; i < n; i++ {
for j := 0; j < max(0, i-1); j++ {
a.Data[i*a.Stride+j] = 0
}
}
want := dlange(norm, a.Rows, a.Cols, a.Data, a.Stride)
if math.Abs(want-got) > tol*want {
t.Errorf("Case n=%v,lda=%v,norm=%v: unexpected result. Want %v, got %v.", n, lda, normToString(norm), want, got)
}
}
}
}
}
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