// run_rootsol_test runs root solution test
// Note: xguess is the trial solution for Newton's method (not Brent's)
func run_rootsol_test(tst *testing.T, xa, xb, xguess, tolcmp float64, ffcnA Cb_yxe, ffcnB Cb_f, JfcnB Cb_Jd, fname string, save, show bool) (xbrent float64) {
// Brent
io.Pfcyan("\n - - - - - - - using Brent's method - - -- - - - \n")
var o Brent
o.Init(ffcnA)
var err error
xbrent, err = o.Solve(xa, xb, false)
if err != nil {
chk.Panic("%v", err)
}
var ybrent float64
ybrent, err = ffcnA(xbrent)
if err != nil {
chk.Panic("%v", err)
}
io.Pforan("x = %v\n", xbrent)
io.Pforan("f(x) = %v\n", ybrent)
io.Pforan("nfeval = %v\n", o.NFeval)
io.Pforan("nit = %v\n", o.It)
if math.Abs(ybrent) > 1e-10 {
chk.Panic("Brent failed: f(x) = %g > 1e-10\n", ybrent)
}
// Newton
io.Pfcyan("\n - - - - - - - using Newton's method - - -- - - - \n")
var p NlSolver
p.Init(1, ffcnB, nil, JfcnB, true, false, nil)
xnewt := []float64{xguess}
var cnd float64
cnd, err = p.CheckJ(xnewt, 1e-6, true, !chk.Verbose)
io.Pforan("cond(J) = %v\n", cnd)
if err != nil {
chk.Panic("%v", err.Error())
}
err = p.Solve(xnewt, false)
if err != nil {
chk.Panic("%v", err.Error())
}
var ynewt float64
ynewt, err = ffcnA(xnewt[0])
if err != nil {
chk.Panic("%v", err)
}
io.Pforan("x = %v\n", xnewt[0])
io.Pforan("f(x) = %v\n", ynewt)
io.Pforan("nfeval = %v\n", p.NFeval)
io.Pforan("nJeval = %v\n", p.NJeval)
io.Pforan("nit = %v\n", p.It)
if math.Abs(ynewt) > 1e-9 {
chk.Panic("Newton failed: f(x) = %g > 1e-10\n", ynewt)
}
// compare Brent's and Newton's solutions
PlotYxe(ffcnA, "results", fname, xbrent, xa, xb, 101, "Brent", "'b-'", save, show, func() {
plt.PlotOne(xnewt[0], ynewt, "'g+', ms=15, label='Newton'")
})
chk.Scalar(tst, "xbrent - xnewt", tolcmp, xbrent, xnewt[0])
return
}
func Test_intordmut01(tst *testing.T) {
//verbose()
chk.PrintTitle("intordmut01")
var ops OpsData
ops.SetDefault()
ops.Pm = 1
rnd.Init(0)
a := []int{1, 2, 3, 4, 5, 6, 7, 8}
io.Pforan("before: a = %v\n", a)
ops.OrdSti = []int{2, 5, 4}
IntOrdMutation(a, 0, &ops)
io.Pfcyan("after: a = %v\n", a)
chk.Ints(tst, "a", a, []int{1, 2, 6, 7, 3, 4, 5, 8})
nums := utl.IntRange2(1, 9)
sort.Ints(a)
chk.Ints(tst, "asorted = 12345678", a, nums)
a = []int{1, 2, 3, 4, 5, 6, 7, 8}
io.Pforan("\nbefore: a = %v\n", a)
ops.OrdSti = nil
IntOrdMutation(a, 0, &ops)
io.Pfcyan("after: a = %v\n", a)
sort.Ints(a)
chk.Ints(tst, "asorted = 12345678", a, nums)
}
// PlotNurbsBasis plots basis functions la and lb
func PlotNurbsBasis(dirout, fn string, b *Nurbs, la, lb int) {
npts := 41
plt.Reset()
if io.FnExt(fn) == ".eps" {
plt.SetForEps(1.5, 500)
} else {
plt.SetForPng(1.5, 600, 150)
}
plt.Subplot(3, 2, 1)
b.DrawCtrl2d(false, "", "")
b.DrawElems2d(npts, false, "", "")
t0 := time.Now()
b.PlotBasis(la, "", 11, 0) // 0 => CalcBasis
io.Pfcyan("time elapsed (calcbasis) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(3, 2, 2)
b.DrawCtrl2d(false, "", "")
b.DrawElems2d(npts, false, "", "")
b.PlotBasis(lb, "", 11, 0) // 0 => CalcBasis
plt.Equal()
plt.Subplot(3, 2, 3)
b.DrawCtrl2d(false, "", "")
b.DrawElems2d(npts, false, "", "")
b.PlotBasis(la, "", 11, 1) // 1 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(3, 2, 4)
b.DrawCtrl2d(false, "", "")
b.DrawElems2d(npts, false, "", "")
b.PlotBasis(lb, "", 11, 1) // 1 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(3, 2, 5)
b.DrawCtrl2d(false, "", "")
b.DrawElems2d(npts, false, "", "")
t0 = time.Now()
b.PlotBasis(la, "", 11, 2) // 2 => RecursiveBasis
io.Pfcyan("time elapsed (recursive) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(3, 2, 6)
b.DrawCtrl2d(false, "", "")
b.DrawElems2d(npts, false, "", "")
b.PlotBasis(lb, "", 11, 2) // 2 => RecursiveBasis
plt.Equal()
plt.SaveD(dirout, fn)
}
func Test_cubiceq02(tst *testing.T) {
//verbose()
chk.PrintTitle("cubiceq02. y(x) = x³ + x²")
a, b, c := 1.0, 0.0, 0.0
x1, x2, x3, nx := EqCubicSolveReal(a, b, c)
io.Pforan("\na=%v b=%v c=%v\n", a, b, c)
io.Pfcyan("nx=%v\n", nx)
io.Pfcyan("x1=%v x2=%v x3=%v\n", x1, x2, x3)
chk.IntAssert(nx, 2)
chk.Scalar(tst, "x1", 1e-17, x1, -1)
chk.Scalar(tst, "x2", 1e-17, x2, 0)
}
func Test_cxdeb01(tst *testing.T) {
//verbose()
chk.PrintTitle("cxdeb01. Deb's crossover")
var ops OpsData
ops.SetDefault()
ops.Pc = 1.0
ops.Xrange = [][]float64{{-3, 3}, {-4, 4}}
ops.EnfRange = true
rnd.Init(0)
A := []float64{-1, 1}
B := []float64{1, 2}
a := make([]float64, len(A))
b := make([]float64, len(A))
FltCrossoverDeb(a, b, A, B, 0, &ops)
io.Pforan("A = %v\n", A)
io.Pforan("B = %v\n", B)
io.Pfcyan("a = %.6f\n", a)
io.Pfcyan("b = %.6f\n", b)
nsamples := 1000
a0s, a1s := make([]float64, nsamples), make([]float64, nsamples)
b0s, b1s := make([]float64, nsamples), make([]float64, nsamples)
for i := 0; i < nsamples; i++ {
FltCrossoverDeb(a, b, B, A, 0, &ops)
a0s[i], a1s[i] = a[0], a[1]
b0s[i], b1s[i] = b[0], b[1]
}
ha0 := rnd.Histogram{Stations: []float64{-4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1}}
hb0 := rnd.Histogram{Stations: []float64{0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 5, 5.5, 6}}
ha1 := rnd.Histogram{Stations: utl.LinSpace(-4, 4, 11)}
hb1 := rnd.Histogram{Stations: utl.LinSpace(-4, 4, 11)}
ha0.Count(a0s, true)
hb0.Count(b0s, true)
ha1.Count(a1s, true)
hb1.Count(b1s, true)
io.Pforan("\na0s\n")
io.Pf("%s", rnd.TextHist(ha0.GenLabels("%.1f"), ha0.Counts, 60))
io.Pforan("b0s\n")
io.Pf("%s", rnd.TextHist(hb0.GenLabels("%.1f"), hb0.Counts, 60))
io.Pforan("\na1s\n")
io.Pf("%s", rnd.TextHist(ha1.GenLabels("%.1f"), ha1.Counts, 60))
io.Pforan("b1s\n")
io.Pf("%s", rnd.TextHist(hb1.GenLabels("%.1f"), hb1.Counts, 60))
}
func Test_cubiceq01(tst *testing.T) {
//verbose()
chk.PrintTitle("cubiceq01. y(x) = x³ - 3x² - 144x + 432")
a, b, c := -3.0, -144.0, 432.0
x1, x2, x3, nx := EqCubicSolveReal(a, b, c)
io.Pforan("\na=%v b=%v c=%v\n", a, b, c)
io.Pfcyan("nx=%v\n", nx)
io.Pfcyan("x1=%v x2=%v x3=%v\n", x1, x2, x3)
chk.IntAssert(nx, 3)
chk.Scalar(tst, "x1", 1e-17, x1, -12)
chk.Scalar(tst, "x2", 1e-17, x2, 12)
chk.Scalar(tst, "x3", 1e-14, x3, 3)
}
// Clean deletes temporary data structures
func (o *LinSolMumps) Clean() {
// exit if not initialised
if !o.is_initialised {
return
}
// start time
if o.ton {
o.tini = time.Now()
}
// message
if o.verb {
io.Pfgreen("\n . . . . . . . . . . . . . . LinSolMumps.Clean . . . . . . . . . . . . . . . \n\n")
}
// clean up
if o.cmplx {
o.mz.job = -2 // finalize code
C.zmumps_c(&o.mz) // do finalize
} else {
o.m.job = -2 // finalize code
C.dmumps_c(&o.m) // do finalize
}
// duration
if o.ton {
io.Pfcyan("%s: Time spent in LinSolMumps.Clean = %v\n", o.name, time.Now().Sub(o.tini))
}
}
// SolveC solves the linear Complex system A.x = b
// NOTES:
// 1) sum_b_to_root is a flag for MUMPS; it tells Solve to sum the values in 'b' arrays to the root processor
func (o *LinSolMumps) SolveC(xR, xC, bR, bC []float64, sum_b_to_root bool) (err error) {
// check
if !o.cmplx {
return chk.Err(_linsol_mumps_err11)
}
// start time
if o.ton {
o.tini = time.Now()
}
// message
if o.verb {
io.Pfgreen("\n . . . . . . . . . . . . . . LinSolMumps.SolveC . . . . . . . . . . . . . . . \n\n")
}
// MUMPS: set RHS in processor # 0
if sum_b_to_root {
mpi.SumToRoot(xR, bR)
mpi.SumToRoot(xC, bC)
// join complex values
if mpi.Rank() == 0 {
for i := 0; i < len(xR); i++ {
o.xRC[i*2], o.xRC[i*2+1] = xR[i], xC[i]
}
}
} else {
// join complex values
if mpi.Rank() == 0 {
for i := 0; i < len(xR); i++ {
o.xRC[i*2], o.xRC[i*2+1] = bR[i], bC[i]
}
}
}
// MUMPS: solve
o.mz.job = 3 // solution code
C.zmumps_c(&o.mz) // solve
if o.mz.info[1-1] < 0 {
return chk.Err(_linsol_mumps_err12, mumps_error(o.mz.info[1-1], o.mz.info[2-1]))
}
// MUMPS: split complex values
if mpi.Rank() == 0 {
for i := 0; i < len(xR); i++ {
xR[i], xC[i] = o.xRC[i*2], o.xRC[i*2+1]
}
}
// MUMPS: broadcast from root
mpi.BcastFromRoot(xR)
mpi.BcastFromRoot(xC)
// duration
if o.ton {
io.Pfcyan("%s: Time spent in LinSolMumps.Solve = %v\n", o.name, time.Now().Sub(o.tini))
}
return
}
func Test_MTint01(tst *testing.T) {
//verbose()
chk.PrintTitle("MTint01. integers (Mersenne Twister)")
Init(1234)
nints := 10
vals := make([]int, NSAMPLES)
// using MTint
t0 := time.Now()
for i := 0; i < NSAMPLES; i++ {
vals[i] = MTint(0, nints-1)
}
io.Pforan("time elapsed = %v\n", time.Now().Sub(t0))
hist := IntHistogram{Stations: utl.IntRange(nints + 1)}
hist.Count(vals, true)
io.Pfyel(TextHist(hist.GenLabels("%d"), hist.Counts, 60))
// using MTints
t0 = time.Now()
MTints(vals, 0, nints-1)
io.Pforan("time elapsed = %v\n", time.Now().Sub(t0))
hist.Count(vals, true)
io.Pfcyan(TextHist(hist.GenLabels("%d"), hist.Counts, 60))
}
// Clean deletes temporary data structures
func (o *LinSolUmfpack) Clean() {
// start time
if o.ton {
o.tini = time.Now()
}
// message
if o.verb {
io.Pfgreen("\n . . . . . . . . . . . . . . LinSolUmfpack.Clean . . . . . . . . . . . . . . . \n\n")
}
// clean up
if o.cmplx {
C.umfpack_zl_free_symbolic(&o.usymb)
C.umfpack_zl_free_numeric(&o.unum)
} else {
C.umfpack_dl_free_symbolic(&o.usymb)
C.umfpack_dl_free_numeric(&o.unum)
}
// duration
if o.ton {
io.Pfcyan("%s: Time spent in LinSolUmfpack.Clean = %v\n", o.name, time.Now().Sub(o.tini))
}
}
func Test_groups01(tst *testing.T) {
//verbose()
chk.PrintTitle("groups01")
Init(0)
ng := 3 // number of groups
nints := 12 // number of integers
size := nints / ng // groups size
ints := utl.IntRange(nints)
groups := utl.IntsAlloc(ng, size)
hists := make([]*IntHistogram, ng)
for i := 0; i < ng; i++ {
hists[i] = &IntHistogram{Stations: utl.IntRange(nints + 1)}
}
IntGetGroups(groups, ints)
io.Pfcyan("groups = %v\n", groups)
for i := 0; i < NSAMPLES; i++ {
IntGetGroups(groups, ints)
for j := 0; j < ng; j++ {
check_repeated(groups[j])
hists[j].Count(groups[j], false)
}
}
for i := 0; i < ng; i++ {
io.Pf("\n")
io.Pf(TextHist(hists[i].GenLabels("%d"), hists[i].Counts, 60))
}
}
// SolveC solves the linear Complex system A.x = b
func (o *LinSolUmfpack) SolveC(xR, xC, bR, bC []float64, dummy bool) (err error) {
// check
if !o.cmplx {
return chk.Err(_linsol_umfpack_err12)
}
// start time
if o.ton {
o.tini = time.Now()
}
// message
if o.verb {
io.Pfgreen("\n . . . . . . . . . . . . . . LinSolUmfpack.SolveC . . . . . . . . . . . . . . . \n\n")
}
// UMFPACK: pointers
pxR := (*C.double)(unsafe.Pointer(&xR[0]))
pxC := (*C.double)(unsafe.Pointer(&xC[0]))
pbR := (*C.double)(unsafe.Pointer(&bR[0]))
pbC := (*C.double)(unsafe.Pointer(&bC[0]))
// UMFPACK: solve
st := C.umfpack_zl_solve(C.UMFPACK_A, o.ap, o.ai, o.ax, o.az, pxR, pxC, pbR, pbC, o.unum, o.uctrl, nil)
if st != C.UMFPACK_OK {
chk.Err(_linsol_umfpack_err13, Uerr2Text[int(st)])
}
// duration
if o.ton {
io.Pfcyan("%s: Time spent in LinSolUmfpack.Solve = %v\n", o.name, time.Now().Sub(o.tini))
}
return
}
func Test_beam01b(tst *testing.T) {
//verbose()
chk.PrintTitle("beam01b. simply supported")
// start simulation
analysis := NewFEM("data/beam01.sim", "", true, true, false, false, chk.Verbose, 0)
// run simulation
err := analysis.Run()
if err != nil {
tst.Errorf("Run failed:\n%v", err)
return
}
// check
dom := analysis.Domains[0]
ele := dom.Elems[0].(*Beam)
_, M := ele.CalcVandM(dom.Sol, 0.5, 1)
qn, L := 15.0, 1.0
Mcentre := qn * L * L / 8.0
io.Pforan("M = %v (%v)\n", M, Mcentre)
chk.Scalar(tst, "M @ centre", 1e-17, M[0], Mcentre)
// check moment using OutIpsData
idx_centre := 5 // considering 11 stations
dat := ele.OutIpsData()
res := dat[idx_centre].Calc(dom.Sol)
io.Pfcyan("M @ centre (OutIpsData) = %v\n", res["M"])
chk.Scalar(tst, "M @ centre (OutIpsData)", 1e-17, res["M"], Mcentre)
}
// PlotNurbsDerivs plots derivatives of basis functions la and lb
func PlotNurbsDerivs(dirout, fn string, b *Nurbs, la, lb int) {
npts := 41
plt.Reset()
if io.FnExt(fn) == ".eps" {
plt.SetForEps(1.5, 500)
} else {
plt.SetForPng(1.5, 600, 150)
}
plt.Subplot(4, 2, 1)
t0 := time.Now()
b.PlotDeriv(la, 0, "", npts, 0) // 0 => CalcBasisAndDerivs
io.Pfcyan("time elapsed (calcbasis) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(4, 2, 2)
t0 = time.Now()
b.PlotDeriv(la, 0, "", npts, 1) // 1 => NumericalDeriv
io.Pfcyan("time elapsed (numerical) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(4, 2, 3)
b.PlotDeriv(la, 1, "", npts, 0) // 0 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(4, 2, 4)
b.PlotDeriv(la, 1, "", npts, 1) // 0 => NumericalDeriv
plt.Equal()
plt.Subplot(4, 2, 5)
b.PlotDeriv(lb, 0, "", npts, 0) // 0 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(4, 2, 6)
b.PlotDeriv(lb, 0, "", npts, 1) // 0 => NumericalDeriv
plt.Equal()
plt.Subplot(4, 2, 7)
b.PlotDeriv(lb, 1, "", npts, 0) // 0 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(4, 2, 8)
b.PlotDeriv(lb, 1, "", npts, 1) // 0 => NumericalDeriv
plt.Equal()
plt.SaveD(dirout, fn)
}
func Test_porous01(tst *testing.T) {
chk.PrintTitle("porous01")
mdb := ReadMat("data", "porous.mat")
if mdb == nil {
tst.Errorf("test failed\n")
return
}
io.Pf("porous.mat just read:\n%v\n", mdb)
mat := mdb.Get("porous1")
if mat == nil {
tst.Errorf("test failed\n")
return
}
io.Pforan("mat = %+v\n", mat)
cnd := mdb.GroupGet("porous1", "c")
if mat == nil {
tst.Errorf("test failed\n")
return
}
io.Pfcyan("cnd = %+v\n", cnd)
lrm := mdb.GroupGet("porous1", "l")
if mat == nil {
tst.Errorf("test failed\n")
return
}
io.Pforan("lrm = %+v\n", lrm)
por := mdb.GroupGet("porous1", "p")
if mat == nil {
tst.Errorf("test failed\n")
return
}
io.Pfcyan("por = %+v\n", por)
sld := mdb.GroupGet("porous1", "s")
if mat == nil {
tst.Errorf("test failed\n")
return
}
io.Pforan("sld = %+v\n", sld)
}
func Test_cxint01(tst *testing.T) {
//verbose()
chk.PrintTitle("cxint01")
var ops OpsData
ops.SetDefault()
ops.Pc = 1
ops.Ncuts = 1
A := []int{1, 2}
B := []int{-1, -2}
a := make([]int, len(A))
b := make([]int, len(A))
IntCrossover(a, b, A, B, 0, &ops)
io.Pfred("A = %2d\n", A)
io.PfRed("B = %2d\n", B)
io.Pfcyan("a = %2d\n", a)
io.Pfblue2("b = %2d\n", b)
chk.Ints(tst, "a", a, []int{1, -2})
chk.Ints(tst, "b", b, []int{-1, 2})
io.Pf("\n")
A = []int{1, 2, 3, 4, 5, 6, 7, 8}
B = []int{-1, -2, -3, -4, -5, -6, -7, -8}
a = make([]int, len(A))
b = make([]int, len(A))
ops.Cuts = []int{1, 3}
IntCrossover(a, b, A, B, 0, &ops)
io.Pfred("A = %2v\n", A)
io.PfRed("B = %2v\n", B)
io.Pfcyan("a = %2v\n", a)
io.Pfblue2("b = %2v\n", b)
chk.Ints(tst, "a", a, []int{1, -2, -3, 4, 5, 6, 7, 8})
chk.Ints(tst, "b", b, []int{-1, 2, 3, -4, -5, -6, -7, -8})
ops.Cuts = []int{5, 7}
IntCrossover(a, b, A, B, 0, &ops)
io.Pfred("A = %2v\n", A)
io.PfRed("B = %2v\n", B)
io.Pfcyan("a = %2v\n", a)
io.Pfblue2("b = %2v\n", b)
chk.Ints(tst, "a", a, []int{1, 2, 3, 4, 5, -6, -7, 8})
chk.Ints(tst, "b", b, []int{-1, -2, -3, -4, -5, 6, 7, -8})
}
func Test_postp01(tst *testing.T) {
//verbose()
chk.PrintTitle("postp01")
Tout := []float64{0, 0.1, 0.2, 0.200001, 0.201, 0.3001, 0.8, 0.99, 0.999, 1}
Tsel := []float64{0, 0.2, 0.3, 0.6, 0.8, 0.9, 0.99, -1}
tol := 0.001
I, T := GetITout(Tout, Tsel, tol)
io.Pfcyan("Tout = %v\n", Tout)
io.Pfcyan("Tsel = %v\n", Tsel)
io.Pforan("I = %v\n", I)
io.Pforan("T = %v\n", T)
chk.Ints(tst, "I", I, []int{0, 2, 5, 6, 7, 9})
chk.Vector(tst, "T", 1e-16, T, []float64{0, 0.2, 0.3001, 0.8, 0.99, 1})
}
// ProfMEM activates memory profiling
// Note: returns a "stop()" function to be called before shutting down
func ProfMEM(dirout, filename string, silent bool) func() {
os.MkdirAll(dirout, 0777)
fn := filepath.Join(dirout, filename)
f, err := os.Create(fn)
if err != nil {
chk.Panic(_profiling_err1, "ProfMEM", err.Error())
}
if !silent {
io.Pfcyan("MEM profiling => %s\n", fn)
}
return func() {
pprof.WriteHeapProfile(f)
f.Close()
if !silent {
io.Pfcyan("MEM profiling finished\n")
}
}
}
func Test_ind02(tst *testing.T) {
//verbose()
chk.PrintTitle("ind02. copy into")
rnd.Init(0)
nbases := 1
A := get_individual(0, nbases)
B := get_individual(1, nbases)
fmts := map[string][]string{
"int": {"%2d", "%4d", "%5d"}, // ints
"flt": {"%6g", "%6g", "%5g"}, // floats
"str": {"%4s", "%2s", "%2s"}, // strings
"key": {"%3x", "%3x", "%3x"}, // keys
"byt": {"%4s", "%4s", "%4s"}, // bytes
"fun": {"%3s", "%3s", "%3s"}, // funcs
}
io.Pfpink("A = %v\n", A.Output(fmts, false))
io.Pfcyan("B = %v\n", B.Output(fmts, false))
var ops OpsData
ops.SetDefault()
ops.Pc = 1.0
ops.Cuts = []int{1, 2}
ops.Xrange = [][]float64{{0, 1}, {-20, 20}, {-300, 300}}
a := A.GetCopy()
b := A.GetCopy()
IndCrossover(a, b, A, B, 0, &ops)
io.Pforan("a = %v\n", a.Output(fmts, false))
io.Pfblue2("b = %v\n", b.Output(fmts, false))
chk.Ints(tst, "a.Ints ", a.Ints, []int{1, -20, 300})
chk.Ints(tst, "b.Ints ", b.Ints, []int{-1, 20, -300})
chk.Strings(tst, "a.Strings", a.Strings, []string{"abc", "Y", "c"})
chk.Strings(tst, "b.Strings", b.Strings, []string{"X", "b", "Z"})
// TODO: add other tests here
io.Pf("\n")
x := get_individual(0, nbases)
x.Ovas = []float64{0, 0}
x.Oors = []float64{0, 0, 0}
io.Pfblue2("x = %v\n", x.Output(fmts, false))
B.CopyInto(x)
chk.Scalar(tst, "ova0", 1e-17, x.Ovas[0], 200)
chk.Scalar(tst, "ova1", 1e-17, x.Ovas[1], 100)
chk.Scalar(tst, "oor0", 1e-17, x.Oors[0], 15)
chk.Scalar(tst, "oor1", 1e-17, x.Oors[1], 25)
chk.Scalar(tst, "oor2", 1e-17, x.Oors[2], 35)
io.Pforan("x = %v\n", x.Output(fmts, false))
chk.String(tst, x.Output(fmts, false), B.Output(fmts, false))
}
func do_plot_nurbs_basis(b *Nurbs, la, lb int) {
npts := 21
plt.SetForEps(1.2, 500)
plt.Subplot(3, 2, 1)
b.DrawCtrl2D(false)
b.DrawElems2D(npts, false, "", "")
t0 := time.Now()
b.PlotBasis(la, "", 11, 0) // 0 => CalcBasis
io.Pfcyan("time elapsed (calcbasis) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(3, 2, 2)
b.DrawCtrl2D(false)
b.DrawElems2D(npts, false, "", "")
b.PlotBasis(lb, "", 11, 0) // 0 => CalcBasis
plt.Equal()
plt.Subplot(3, 2, 3)
b.DrawCtrl2D(false)
b.DrawElems2D(npts, false, "", "")
b.PlotBasis(la, "", 11, 1) // 1 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(3, 2, 4)
b.DrawCtrl2D(false)
b.DrawElems2D(npts, false, "", "")
b.PlotBasis(lb, "", 11, 1) // 1 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(3, 2, 5)
b.DrawCtrl2D(false)
b.DrawElems2D(npts, false, "", "")
t0 = time.Now()
b.PlotBasis(la, "", 11, 2) // 2 => RecursiveBasis
io.Pfcyan("time elapsed (recursive) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(3, 2, 6)
b.DrawCtrl2D(false)
b.DrawElems2D(npts, false, "", "")
b.PlotBasis(lb, "", 11, 2) // 2 => RecursiveBasis
plt.Equal()
}
func Test_out02(tst *testing.T) {
// finalise analysis process and catch errors
defer func() {
if err := recover(); err != nil {
tst.Fail()
io.PfRed("ERROR: %v\n", err)
}
}()
// test title
//verbose()
chk.PrintTitle("out02")
// start simulation
processing := fem.NewFEM("data/twoqua4.sim", "", true, true, false, false, chk.Verbose, 0)
// run simulation
err := processing.Run()
if err != nil {
tst.Errorf("Run failed:\n%v", err)
return
}
// start post-processing
Start("data/twoqua4.sim", 0, 0)
// get second ip coordinates
xip := Ipoints[1].X
io.Pfcyan("xip = %v\n", xip)
// define points
Define("A", N{-1})
Define("ips", Along{{xip[0], 0}, {xip[0], 1}})
// load results
LoadResults(nil)
// solution
var sol ana.CteStressPstrain
sol.Init(fun.Prms{
&fun.Prm{N: "qnH", V: -50},
&fun.Prm{N: "qnV", V: -100},
})
// check displacements
tolu := 1e-15
x := GetCoords("A")
ux := GetRes("ux", "A", 0)
uy := GetRes("uy", "A", 0)
io.Pforan("ux=%v uy=%v\n", ux, uy)
for j, t := range Times {
io.Pfyel("t=%g\n", t)
sol.CheckDispl(tst, t, []float64{ux[j], uy[j]}, x, tolu)
}
}
// ProfCPU activates CPU profiling
// Note: returns a "stop()" function to be called before shutting down
func ProfCPU(dirout, filename string, silent bool) func() {
os.MkdirAll(dirout, 0777)
fn := filepath.Join(dirout, filename)
f, err := os.Create(fn)
if err != nil {
chk.Panic(_profiling_err1, "ProfCPU", err.Error())
}
if !silent {
io.Pfcyan("CPU profiling => %s\n", fn)
}
pprof.StartCPUProfile(f)
return func() {
pprof.StopCPUProfile()
f.Close()
if !silent {
io.Pfcyan("CPU profiling finished\n")
}
}
}
func Test_bins02(tst *testing.T) {
//verbose()
chk.PrintTitle("bins02. find along line (2D)")
// bins
var bins Bins
bins.Init([]float64{-0.2, -0.2}, []float64{0.8, 1.8}, 5)
// fill bins structure
maxit := 5 // number of entries
ID := make([]int, maxit)
for k := 0; k < maxit; k++ {
x := float64(k) / float64(maxit)
ID[k] = k
err := bins.Append([]float64{x, 2*x + 0.2}, ID[k])
if err != nil {
chk.Panic(err.Error())
}
}
// add more points to bins
for i := 0; i < 5; i++ {
err := bins.Append([]float64{float64(i) * 0.1, 1.8}, 100+i)
if err != nil {
chk.Panic(err.Error())
}
}
// message
for _, bin := range bins.All {
if bin != nil {
io.Pf("%v\n", bin)
}
}
// find points along diagonal
ids := bins.FindAlongSegment([]float64{0.0, 0.2}, []float64{0.8, 1.8}, 1e-8)
io.Pforan("ids = %v\n", ids)
chk.Ints(tst, "ids", ids, ID)
// find additional points
ids = bins.FindAlongSegment([]float64{-0.2, 1.8}, []float64{0.8, 1.8}, 1e-8)
io.Pfcyan("ids = %v\n", ids)
chk.Ints(tst, "ids", ids, []int{100, 101, 102, 103, 104, 4})
// draw
if chk.Verbose {
plt.SetForPng(1, 500, 150)
bins.Draw2d(true, true, true, true, map[int]bool{8: true, 9: true, 10: true})
plt.SetXnticks(15)
plt.SetYnticks(15)
plt.SaveD("/tmp/gosl/gm", "test_bins02.png")
}
}
func Test_porous02(tst *testing.T) {
chk.PrintTitle("porous02")
mdb := ReadMat("data", "porous.mat")
if mdb == nil {
tst.Errorf("test failed\n")
return
}
io.Pf("porous.mat just read:\n%v\n", mdb)
cnd, lrm, por, err := mdb.GroupGet3("porous1", "c", "l", "p")
if err != nil {
tst.Errorf("test failed\n")
return
}
io.Pfcyan("cnd = %+v\n", cnd)
io.Pforan("lrm = %+v\n", lrm)
io.Pfcyan("por = %+v\n", por)
}
func do_plot_nurbs_derivs(b *Nurbs, la, lb int) {
np := 11
plt.SetForEps(1.5, 500)
plt.Subplot(4, 2, 1)
t0 := time.Now()
b.PlotDeriv(la, 0, "", np, 0) // 0 => CalcBasisAndDerivs
io.Pfcyan("time elapsed (calcbasis) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(4, 2, 2)
t0 = time.Now()
b.PlotDeriv(la, 0, "", np, 1) // 1 => NumericalDeriv
io.Pfcyan("time elapsed (numerical) = %v\n", time.Now().Sub(t0))
plt.Equal()
plt.Subplot(4, 2, 3)
b.PlotDeriv(la, 1, "", np, 0) // 0 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(4, 2, 4)
b.PlotDeriv(la, 1, "", np, 1) // 0 => NumericalDeriv
plt.Equal()
plt.Subplot(4, 2, 5)
b.PlotDeriv(lb, 0, "", np, 0) // 0 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(4, 2, 6)
b.PlotDeriv(lb, 0, "", np, 1) // 0 => NumericalDeriv
plt.Equal()
plt.Subplot(4, 2, 7)
b.PlotDeriv(lb, 1, "", np, 0) // 0 => CalcBasisAndDerivs
plt.Equal()
plt.Subplot(4, 2, 8)
b.PlotDeriv(lb, 1, "", np, 1) // 0 => NumericalDeriv
plt.Equal()
}
func Test_invs03(tst *testing.T) {
//verbose()
chk.PrintTitle("invs03")
// square with vertical stress only under plane-strain
E, ν := 210000.0, 0.49999
qY := 240.0
σx := 0.0
σy := -qY / math.Sqrt(ν*ν-ν+1.0)
σz := ν * (σx + σy)
εx := -(ν*σz + ν*σy - σx) / E
εy := -(ν*σz - σy + ν*σx) / E
εz := 0.0
// check
c := E / ((1.0 + ν) * (1.0 - 2.0*ν))
De := [][]float64{
{c * (1.0 - ν), c * ν, c * ν, 0.0},
{c * ν, c * (1.0 - ν), c * ν, 0.0},
{c * ν, c * ν, c * (1.0 - ν), 0.0},
{0.0, 0.0, 0.0, c * (1.0 - 2.0*ν)},
}
ε := [][]float64{
{εx, 0, 0},
{0, εy, 0},
{0, 0, εz},
}
εm := make([]float64, 4)
σm := make([]float64, 4)
Ten2Man(εm, ε)
la.MatVecMul(σm, 1, De, εm)
q := M_q(σm)
θ := M_θ(σm)
io.Pfcyan("σm = %v\n", σm)
io.Pfcyan("q = %v\n", q)
io.Pfcyan("θ = %v\n", θ)
chk.Scalar(tst, "q", 1e-10, q, qY)
chk.Scalar(tst, "θ", 1e-3, θ, 0)
}
func Test_blx01(tst *testing.T) {
//verbose()
chk.PrintTitle("blx01. blended crossover")
var ops OpsData
ops.SetDefault()
ops.Pc = 1.0
ops.Xrange = [][]float64{{-1, 2}, {0, 3}, {1, 4}, {3, 6}, {4, 7}}
rnd.Init(0)
A := []float64{0, 1, 2, 4, 5}
B := []float64{1, 2, 3, 5, 6}
a := make([]float64, len(A))
b := make([]float64, len(A))
FltCrossoverBlx(a, b, A, B, 0, &ops)
io.Pforan("A = %v\n", A)
io.Pforan("B = %v\n", B)
io.Pfcyan("a = %v\n", a)
io.Pfcyan("b = %v\n", b)
}
func Test_cubiceq03(tst *testing.T) {
//verbose()
chk.PrintTitle("cubiceq03. y(x) = x³ + c")
doplot := false
np := 41
var X, Y []float64
if doplot {
X = utl.LinSpace(-2, 2, np)
Y = make([]float64, np)
plt.SetForPng(0.8, 400, 200)
}
a, b := 0.0, 0.0
colors := []string{"red", "green", "blue"}
for k, c := range []float64{-1, 0, 1} {
x1, x2, x3, nx := EqCubicSolveReal(a, b, c)
io.Pforan("\na=%v b=%v c=%v\n", a, b, c)
io.Pfcyan("nx=%v\n", nx)
io.Pfcyan("x1=%v x2=%v x3=%v\n", x1, x2, x3)
chk.IntAssert(nx, 1)
chk.Scalar(tst, "x1", 1e-17, x1, -c)
if doplot {
for i, x := range X {
Y[i] = x*x*x + a*x*x + b*x + c
}
plt.Plot(X, Y, io.Sf("color='%s', label='c=%g'", colors[k], c))
plt.PlotOne(x1, 0, io.Sf("'ko', color='%s'", colors[k]))
plt.Cross("")
plt.Gll("x", "y", "")
}
}
if doplot {
plt.SaveD("/tmp", "fig_cubiceq03.png")
}
}
func Test_sort05(tst *testing.T) {
//verbose()
chk.PrintTitle("sort05")
a := map[string]int{"a": 1, "z": 2, "c": 3, "y": 4, "d": 5, "b": 6, "x": 7}
b := map[string]float64{"a": 1, "z": 2, "c": 3, "y": 4, "d": 5, "b": 6, "x": 7}
c := map[string]bool{"a": false, "z": true, "c": false, "y": true, "d": true, "b": false, "x": true}
ka := StrIntMapSort(a)
kb := StrDblMapSort(b)
kc := StrBoolMapSort(c)
io.Pforan("sorted_keys(a) = %v\n", ka)
io.Pforan("sorted_keys(b) = %v\n", kb)
io.Pforan("sorted_keys(c) = %v\n", kc)
chk.Strings(tst, "ka", ka, []string{"a", "b", "c", "d", "x", "y", "z"})
chk.Strings(tst, "kb", kb, []string{"a", "b", "c", "d", "x", "y", "z"})
chk.Strings(tst, "kc", kc, []string{"a", "b", "c", "d", "x", "y", "z"})
ka, va := StrIntMapSortSplit(a)
io.Pfpink("sorted_keys(a) = %v\n", ka)
io.Pfpink("sorted_vals(a) = %v\n", va)
chk.Strings(tst, "ka", ka, []string{"a", "b", "c", "d", "x", "y", "z"})
chk.Ints(tst, "va", va, []int{1, 6, 3, 5, 7, 4, 2})
kb, vb := StrDblMapSortSplit(b)
io.Pfcyan("sorted_keys(b) = %v\n", kb)
io.Pfcyan("sorted_vals(b) = %v\n", vb)
chk.Strings(tst, "kb", kb, []string{"a", "b", "c", "d", "x", "y", "z"})
chk.Vector(tst, "vb", 1e-16, vb, []float64{1, 6, 3, 5, 7, 4, 2})
kc, vc := StrBoolMapSortSplit(c)
io.Pfcyan("sorted_keys(c) = %v\n", kc)
io.Pfcyan("sorted_vals(c) = %v\n", vc)
chk.Strings(tst, "kc", kc, []string{"a", "b", "c", "d", "x", "y", "z"})
chk.Bools(tst, "vc", vc, []bool{false, false, false, true, true, true, true})
}
// InitC initialises a LinSolUmfpack data structure for Complex systems. It also performs some initial analyses.
func (o *LinSolUmfpack) InitC(tC *TripletC, symmetric, verbose, timing bool) (err error) {
// check
o.tC = tC
if tC.pos == 0 {
return chk.Err(_linsol_umfpack_err02)
}
// flags
o.name = "umfpack"
o.sym = symmetric
o.cmplx = true
o.verb = verbose
o.ton = timing
// start time
if o.ton {
o.tini = time.Now()
}
// check x and z
if len(o.tC.x) != len(o.tC.i) || len(o.tC.z) != len(o.tC.i) {
return chk.Err(_linsol_umfpack_err03, len(o.tC.x), len(o.tC.z), len(o.tC.i))
}
// pointers
o.ti = (*C.LONG)(unsafe.Pointer(&o.tC.i[0]))
o.tj = (*C.LONG)(unsafe.Pointer(&o.tC.j[0]))
o.tx = (*C.double)(unsafe.Pointer(&o.tC.x[0]))
o.tz = (*C.double)(unsafe.Pointer(&o.tC.z[0]))
o.ap = (*C.LONG)(unsafe.Pointer(&make([]int, o.tC.n+1)[0]))
o.ai = (*C.LONG)(unsafe.Pointer(&make([]int, o.tC.pos)[0]))
o.ax = (*C.double)(unsafe.Pointer(&make([]float64, o.tC.pos)[0]))
o.az = (*C.double)(unsafe.Pointer(&make([]float64, o.tC.pos)[0]))
// control
o.uctrl = (*C.double)(unsafe.Pointer(&make([]float64, C.UMFPACK_CONTROL)[0]))
C.umfpack_zl_defaults(o.uctrl)
// duration
if o.ton {
io.Pfcyan("%s: Time spent in LinSolUmfpack.InitC = %v\n", o.name, time.Now().Sub(o.tini))
}
// success
o.is_initialised = true
return
}