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gonum/lapack/internal/testdata/dlahr2test/main.go

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// Copyright ©2016 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.
// dlahr2test generates test data for Dlahr2. Test cases are stored in
// gzip-compressed JSON file testlapack/testdata/dlahr2data.json.gz which is
// read during testing by testlapack/dlahr2.go.
//
// This program uses cgo to call Fortran version of DLAHR2. Therefore, matrices
// passed to the Fortran routine are in column-major format but are written into
// the output file in row-major format.
package main
import (
"compress/gzip"
"encoding/json"
"log"
"os"
"path/filepath"
"golang.org/x/exp/rand"
"gonum.org/v1/gonum/lapack/internal/testdata/netlib"
)
type Dlahr2Test struct {
N, K, NB int
A []float64
AWant []float64
TWant []float64
YWant []float64
TauWant []float64
}
func main() {
file, err := os.Create(filepath.FromSlash("../../../testlapack/testdata/dlahr2data.json.gz"))
if err != nil {
log.Fatal(err)
}
defer file.Close()
w := gzip.NewWriter(file)
rnd := rand.New(rand.NewSource(1))
var tests []Dlahr2Test
for _, n := range []int{4, 5, 6, 7, 11} {
for k := 0; k <= n/2; k++ {
for nb := 1; nb <= k; nb++ {
ain := genrand(n, n-k+1, rnd)
a := make([]float64, len(ain))
copy(a, ain)
t := genrand(nb, nb, rnd)
y := genrand(n, nb, rnd)
tau := genrand(nb, 1, rnd)
netlib.Dlahr2(n, k, nb, a, n, tau, t, nb, y, n)
tests = append(tests, Dlahr2Test{
N: n,
K: k,
NB: nb,
A: rowMajor(n, n-k+1, ain),
AWant: rowMajor(n, n-k+1, a),
TWant: rowMajor(nb, nb, t),
YWant: rowMajor(n, nb, y),
TauWant: tau,
})
}
}
}
json.NewEncoder(w).Encode(tests)
err = w.Close()
if err != nil {
log.Fatal(err)
}
}
// genrand returns a general r×c matrix with random entries.
func genrand(r, c int, rnd *rand.Rand) []float64 {
m := make([]float64, r*c)
for i := range m {
m[i] = rnd.NormFloat64()
}
return m
}
// rowMajor returns the given r×c column-major matrix a in row-major format.
func rowMajor(r, c int, a []float64) []float64 {
if len(a) != r*c {
panic("testdata: slice length mismatch")
}
m := make([]float64, len(a))
for i := 0; i < r; i++ {
for j := 0; j < c; j++ {
m[i*c+j] = a[i+j*r]
}
}
return m
}