void FluxSolver(const std::vector<cell>& grid, double& delta_x, double& delta_y, TDstate& state_minus, TDstate& state_plus, double gamma, TDstate& slope_plus, TDstate& slope_minus, int limiter_number, int cellnum, TDstate& limiter_value, std::vector<TDstate>& F, std::vector<TDstate>& G, double CFL, double& max_wavespeed, std::vector<TDstate>& U, bool debug) {
delta_x = (vectormax(grid[cellnum].cornerlocs_x) - vectormin(grid[cellnum].cornerlocs_x));
delta_y = (vectormax(grid[cellnum].cornerlocs_y) - vectormin(grid[cellnum].cornerlocs_y));
// Calculate the limited flux of each conserved quantity for initial t -> t+1/2 update
for (int direction = 0; direction < 2; ++direction) { // For the left/right direction and up/down direction
// Assign the bottom/left and the top/right states for each cell
assign_edge_state(state_minus, state_plus, U, grid, cellnum, direction);
// Calculate the flux of each conserved variable, in each direction, on each face, of that cell.
// Flux needs to be calculated by first finding the limiter (direction-dependent), then using that limiter to calculate the directional flux, then using the two directional fluxes to update from u_t to u_t+1/2
compute_slope(slope_minus, slope_plus, direction, state_minus, state_plus, delta_x, delta_y, U[cellnum]);
if ((direction == 1) && (debug)) {
std::cout << "Slope Minus: " << slope_minus.rho << " " << slope_minus.rhou << " " << slope_minus.rhov << " " << slope_minus.E << '\n';
std::cout << "Slope Plus: " << slope_plus.rho << " " << slope_plus.rhou << " " << slope_plus.rhov << " " << slope_plus.E << '\n';
}
compute_limiter(limiter_value, slope_minus, slope_plus, limiter_number);
if (direction == 0) { // Compute F, x-fluxes
compute_limited_flux(F, limiter_value, U[cellnum], slope_plus, slope_minus, direction, gamma, CFL);
// std::cout << "rho limiter x: " << limiter_value.rho << '\n';
} else { // Compute G, y-fluxes
// std::cout << "rho limiter y: " << limiter_value.rho << '\n';
compute_limited_flux(G, limiter_value, U[cellnum], slope_plus, slope_minus, direction, gamma, CFL);
}
} // end of for (int direction = 0; direction < 2; ++direction)
max_wavespeed_calculator_riemann(max_wavespeed, U[cellnum], gamma);
}
int main() {
// Define Variables
std::string parameter_filename = "solver_parms.txt";
std::string input_filename = "5x5square2.bkcfd";
std::vector<double> parameters;
std::vector<double> Fiph, Fimh, Giph, Gimh;
double CFL, tmax, delta_x, delta_y, min_delta_x, min_delta_y, min_delta;
TDstate state_minus, state_plus, slope_minus, slope_plus, limiter_value;
std::vector<TDstate> F (2);
std::vector<TDstate> G (2);
// double thresh = 0.00001; // 1E-5 tolerance for riemann solver - velocity
double gamma = 1.4;
// 1 = harmonic mean for slopes, 2 = ...
int limiter_number = 1;
std::vector<cell> grid;
// Read parameters from input file defined by filename string
parameters = read_parameters(parameter_filename);
// CFL = parameters.at(0);
// tmax = parameters.at(1);
// Read initial file defined from Matlab with cell edges and connections
// Read the initial condition file from MATLAB with [rho rho*u rho*v e] defined for each cell
read_grid(input_filename, grid, gamma);
std::vector<TDstate> Uph (grid.size());
min_delta_x = gridmin(grid, 'x');
min_delta_y = gridmin(grid, 'y');
min_delta = std::min(min_delta_x,min_delta_y);
/* std::cout << "printing now..." << '\n';
for(auto input: grid) {
std::cout << input.cellnumber << '\n';
std::cout << input.cornerlocs_x[0] << ' ';
std::cout << input.cornerlocs_x[1] << ' ';
std::cout << input.cornerlocs_x[2] << ' ';
std::cout << input.cornerlocs_x[3] << '\n';
std::cout << input.cornerlocs_y[0] << ' ';
std::cout << input.cornerlocs_y[1] << ' ';
std::cout << input.cornerlocs_y[2] << ' ';
std::cout << input.cornerlocs_y[3] << '\n';
std::cout << input.adjacent_cells[0] << ' ';
std::cout << input.adjacent_cells[1] << ' ';
std::cout << input.adjacent_cells[2] << ' ';
std::cout << input.adjacent_cells[3] << '\n';
std::cout << input.state.rho << ' ';
std::cout << input.state.rhou << ' ';
std::cout << input.state.rhov << ' ';
std::cout << input.state.E << '\n' << '\n';
}
*/
// Start calculation in for loop going to final time
// for (double t = 0, t <= tmax; t++)
double max_wavespeed = 0;
// Go through each cell, calculate fluxes, update to new piecewise linear state
for (unsigned int cellnum = 0; cellnum < grid.size(); ++cellnum) { // For each cell
if (!isedge(grid,cellnum)) {
delta_x = (vectormax(grid[cellnum].cornerlocs_x) - vectormin(grid[cellnum].cornerlocs_x));
delta_y = (vectormax(grid[cellnum].cornerlocs_y) - vectormin(grid[cellnum].cornerlocs_y));
// Calculate the limited flux of each conserved quantity for initial t -> t+1/2 update
for (int direction = 0; direction < 2; ++direction) { // For the left/right direction and up/down direction
// Assign the bottom/left and the top/right states for each cell
assign_edge_state(state_minus, state_plus, grid, cellnum, direction);
// Calculate the flux of each conserved variable, in each direction, on each face, of that cell.
// Flux needs to be calculated by first finding the limiter (direction-dependent), then using that limiter to calculate the directional flux, then using the two directional fluxes to update from u_t to u_t+1/2
compute_slope(slope_minus, slope_plus, grid, cellnum, direction, state_minus, state_plus, delta_x, delta_y);
compute_limiter(limiter_value, slope_minus, slope_plus, limiter_number);
if (direction == 0) { // Compute F, x-fluxes
compute_limited_flux(F, limiter_value, min_delta, CFL, grid[cellnum].state, slope_plus, direction, gamma);
// std::cout << "rho limiter x: " << limiter_value.rho << '\n';
} else { // Compute G, y-fluxes
// std::cout << "rho limiter y: " << limiter_value.rho << '\n';
compute_limited_flux(G, limiter_value, min_delta, CFL, grid[cellnum].state, slope_plus, direction, gamma);
}
} // end of for (int direction = 0; direction < 2; ++direction)
// std::cout << "F flux: " << F[0].rho << " " << F[1].rho << ", G flux: " << G[0].rho << " " << G[1].rho << '\n';
fluxmax(max_wavespeed, F, G, grid[cellnum].state);
} // end of if (!isedge(grid,cell))
// Compute the max
// Now, use the fluxes calculated above to assign a new state, Uph
compute_halfway_state(Uph, F, G, CFL);
// -----------------------------
// Need to check values of flux to see if they are giving accurate results!
//
// Go through each edge, calculate flux, save
// for (int edge = 1, edge <= numedges, ++edge)
//
// Solve riemann problem on edge for euler flux
ODstate left;
ODstate right;
left.rho = 1.0; //rho
left.rhou = 300; //rho*u or rho*v
left.E = 100000/0.4 - pow(left.rhou,2)/(left.rho*2); //E
right.rho = 1;
right.rhou = 0;
right.E = 100000/0.4 - pow(right.rhou,2)/(right.rho*2);
/* ODstate test_state = Exact_Riemann_Solver(left, right, thresh, gamma);
std::cout << '\n' << "State on x=0 is:" << '\n';
std::cout << test_state.rho << '\n';
std::cout << test_state.rhou << '\n';
std::cout << test_state.E << '\n';
std::cout << test_state.pressure << '\n';
*/
//Use all these fluxes to define updated state on each cell
//Option to save at each timestep
} // end of for(unsigned int cell = 0; cell < grid.size(); ++cell)
return 0;
}
/** unittest for oapackage
*
* Returns UNITTEST_SUCCESS if all tests are ok.
*
*/
int oaunittest (int verbose, int writetests = 0, int randval = 0) {
double t0 = get_time_ms ();
const char *bstr = "OA unittest";
cprintf (verbose, "%s: start\n", bstr);
srand (randval);
int allgood = UNITTEST_SUCCESS;
Combinations::initialize_number_combinations (20);
/* constructors */
{
cprintf (verbose, "%s: interaction matrices\n", bstr);
array_link al = exampleArray (2);
Eigen::MatrixXd m1 = array2xfeigen (al);
Eigen::MatrixXd m2 = arraylink2eigen (array2xf (al));
Eigen::MatrixXd dm = m1 - m2;
int sum = dm.sum ();
myassert (sum == 0, "unittest error: construction of interaction matrices\n");
}
cprintf(verbose, "%s: reduceConferenceTransformation\n", bstr);
myassert(unittest_reduceConferenceTransformation()==0, "unittest unittest_reduceConferenceTransformation failed");
/* constructors */
{
cprintf (verbose, "%s: array manipulation operations\n", bstr);
test_array_manipulation (verbose);
}
/* double conference matrices */
{
cprintf (verbose, "%s: double conference matrices\n", bstr);
array_link al = exampleArray (36, verbose);
myassert (al.is_conference (2), "check on double conference design type");
myassert (testLMC0checkDC (al, verbose >= 2), "testLMC0checkDC");
}
/* conference matrices */
{
cprintf (verbose, "%s: conference matrices\n", bstr);
int N = 4;
conference_t ctype (N, N, 0);
arraylist_t kk;
array_link al = ctype.create_root ();
kk.push_back (al);
for (int extcol = 2; extcol < N; extcol++) {
kk = extend_conference (kk, ctype, 0);
}
myassert (kk.size () == 1, "unittest error: conference matrices for N=4\n");
}
{
cprintf (verbose, "%s: generators for conference matrix extensions\n", bstr);
test_conference_candidate_generators (verbose);
}
{
cprintf (verbose, "%s: conference matrix Fvalues\n", bstr);
array_link al = exampleArray (22, 0);
if (verbose >= 2)
al.show ();
if (0) {
std::vector< int > f3 = al.FvaluesConference (3);
if (verbose >= 2) {
printf ("F3: ");
display_vector (f3);
printf ("\n");
}
}
const int N = al.n_rows;
jstructconference_t js (N, 4);
std::vector< int > f4 = al.FvaluesConference (4);
std::vector< int > j4 = js.Jvalues ();
if (verbose >= 2) {
printf ("j4: ");
display_vector (j4);
printf ("\n");
printf ("F4: ");
display_vector (f4);
printf ("\n");
}
myassert (j4[0] == 28, "unittest error: conference matricex F values: j4[0]\n");
myassert (f4[0] == 0, "unittest error: conference matricex F values: f4[0] \n");
myassert (f4[1] == 0, "unittest error: conference matricex F values: j4[1]\n");
}
{
cprintf (verbose, "%s: LMC0 check for arrays in C(4, 3)\n", bstr);
array_link al = exampleArray (28, 1);
if (verbose >= 2)
al.showarray ();
lmc_t r = LMC0check (al, verbose);
if (verbose >= 2)
printf ("LMC0check: result %d\n", r);
myassert (r >= LMC_EQUAL, "LMC0 check\n");
al = exampleArray (29, 1);
if (verbose >= 2)
al.showarray ();
r = LMC0check (al, verbose);
if (verbose >= 2)
printf ("LMC0check: result %d (LMC_LESS %d)\n", r, LMC_LESS);
myassert (r == LMC_LESS, "LMC0 check of example array 29\n");
}
{
cprintf (verbose, "%s: LMC0 check\n", bstr);
array_link al = exampleArray (31, 1);
if (verbose >= 2)
al.showarray ();
conference_transformation_t T (al);
for (int i = 0; i < 80; i++) {
T.randomize ();
array_link alx = T.apply (al);
lmc_t r = LMC0check (alx, verbose);
if (verbose >= 2) {
printfd ("%d: transformed array: r %d\n", i, r);
alx.showarray ();
}
if (alx == al)
myassert (r >= LMC_EQUAL, "result should be LMC_MORE\n");
else {
myassert (r == LMC_LESS, "result should be LMC_LESS\n");
}
}
}
{
cprintf (verbose, "%s: random transformation for conference matrices\n", bstr);
array_link al = exampleArray (19, 1);
conference_transformation_t T (al);
// T.randomizerowflips();
T.randomize ();
conference_transformation_t Ti = T.inverse ();
array_link alx = Ti.apply (T.apply (al));
if (0) {
printf ("input array:\n");
al.showarray ();
T.show ();
printf ("transformed array:\n");
T.apply (al).showarray ();
Ti.show ();
alx.showarray ();
}
myassert (alx == al, "transformation of conference matrix\n");
}
/* constructors */
{
cprintf (verbose, "%s: constructors\n", bstr);
array_transformation_t t;
conference_transformation_t ct;
}
/* J-characteristics */
{
cprintf (verbose, "%s: J-characteristics\n", bstr);
array_link al = exampleArray (8, 1);
const int mm[] = {-1, -1, 0, 0, 8, 16, 0, -1};
for (int jj = 2; jj < 7; jj++) {
std::vector< int > jx = al.Jcharacteristics (jj);
int j5max = vectormax (jx, 0);
if (verbose >= 2) {
printf ("oaunittest: jj %d: j5max %d\n", jj, j5max);
}
if (j5max != mm[jj]) {
printfd ("j5max %d (should be %d)\n", j5max, mm[jj]);
allgood = UNITTEST_FAIL;
return allgood;
}
}
}
{
cprintf (verbose, "%s: array transformations\n", bstr);
const int N = 9;
const int t = 3;
arraydata_t adataX (3, N, t, 4);
array_link al (adataX.N, adataX.ncols, -1);
al.create_root (adataX);
if (checkTransformationInverse (al))
allgood = UNITTEST_FAIL;
if (checkTransformationComposition (al, verbose >= 2))
allgood = UNITTEST_FAIL;
al = exampleArray (5, 1);
if (checkTransformationInverse (al))
allgood = UNITTEST_FAIL;
if (checkTransformationComposition (al))
allgood = UNITTEST_FAIL;
for (int i = 0; i < 15; i++) {
al = exampleArray (18, 0);
if (checkConferenceComposition (al))
allgood = UNITTEST_FAIL;
if (checkConferenceInverse (al))
allgood = UNITTEST_FAIL;
al = exampleArray (19, 0);
if (checkConferenceComposition (al))
allgood = UNITTEST_FAIL;
if (checkConferenceInverse (al))
allgood = UNITTEST_FAIL;
}
}
{
cprintf (verbose, "%s: rank \n", bstr);
const int idx[10] = {0, 1, 2, 3, 4, 6, 7, 8, 9};
const int rr[10] = {4, 11, 13, 18, 16, 4, 4, 29, 29};
for (int ii = 0; ii < 9; ii++) {
array_link al = exampleArray (idx[ii], 0);
myassert (al.is2level (), "unittest error: input array is not 2-level\n");
int r = arrayrankColPivQR (array2xf (al));
int r3 = (array2xf (al)).rank ();
myassert (r == r3, "unittest error: rank of array");
if (verbose >= 2) {
al.showarray ();
printf ("unittest: rank of array %d: %d\n", idx[ii], r);
}
myassert (rr[ii] == r, "unittest error: rank of example matrix\n");
}
}
{
cprintf (verbose, "%s: Doptimize \n", bstr);
const int N = 40;
const int t = 0;
arraydata_t arrayclass (2, N, t, 6);
std::vector< double > alpha (3);
alpha[0] = 1;
alpha[1] = 1;
alpha[2] = 0;
int niter = 5000;
double t00 = get_time_ms ();
DoptimReturn rr = Doptimize (arrayclass, 10, alpha, 0, DOPTIM_AUTOMATIC, niter);
array_t ss[7] = {3, 3, 2, 2, 2, 2, 2};
arraydata_t arrayclassmixed (ss, 36, t, 5);
rr = Doptimize (arrayclassmixed, 10, alpha, 0, DOPTIM_AUTOMATIC, niter);
cprintf (verbose, "%s: Doptimize time %.3f [s] \n", bstr, get_time_ms () - t00);
}
{
cprintf (verbose, "%s: J-characteristics for conference matrix\n", bstr);
array_link al = exampleArray (19, 0);
std::vector< int > j2 = Jcharacteristics_conference (al, 2);
std::vector< int > j3 = Jcharacteristics_conference (al, 3);
myassert (j2[0] == 0, "j2 value incorrect");
myassert (j2[1] == 0, "j2 value incorrect");
myassert (std::abs (j3[0]) == 1, "j3 value incorrect");
if (verbose >= 2) {
al.showarray ();
printf ("j2: ");
display_vector (j2);
printf ("\n");
printf ("j3: ");
display_vector (j3);
printf ("\n");
}
}
{
// test PEC sequence
cprintf (verbose, "%s: PEC sequence\n", bstr);
for (int ii = 0; ii < 5; ii++) {
array_link al = exampleArray (ii, 0);
std::vector< double > pec = PECsequence (al);
printf ("oaunittest: PEC for array %d: ", ii);
display_vector (pec);
printf (" \n");
}
}
{
cprintf (verbose, "%s: D-efficiency test\n", bstr);
// D-efficiency near-zero test
{
array_link al = exampleArray (14);
double D = al.Defficiency ();
std::vector< double > dd = al.Defficiencies ();
printf ("D %f, D (method 2) %f\n", D, dd[0]);
assert (fabs (D - dd[0]) < 1e-4);
}
{
array_link al = exampleArray (15);
double D = al.Defficiency ();
std::vector< double > dd = al.Defficiencies ();
printf ("D %f, D (method 2) %f\n", D, dd[0]);
assert (fabs (D - dd[0]) < 1e-4);
assert (fabs (D - 0.335063) < 1e-3);
}
}
arraydata_t adata (2, 20, 2, 6);
OAextend oaextendx;
oaextendx.setAlgorithm ((algorithm_t)MODE_ORIGINAL, &adata);
std::vector< arraylist_t > aa (adata.ncols + 1);
printf ("OA unittest: create root array\n");
create_root (&adata, aa[adata.strength]);
/** Test extend of arrays **/
{
cprintf (verbose, "%s: extend arrays\n", bstr);
setloglevel (SYSTEM);
for (int kk = adata.strength; kk < adata.ncols; kk++) {
aa[kk + 1] = extend_arraylist (aa[kk], adata, oaextendx);
printf (" extend: column %d->%d: %ld->%ld arrays\n", kk, kk + 1, aa[kk].size (),
aa[kk + 1].size ());
}
if (aa[adata.ncols].size () != 75) {
printf ("extended ?? to %d arrays\n", (int)aa[adata.ncols].size ());
}
myassert (aa[adata.ncols].size () == 75, "number of arrays is incorrect");
aa[adata.ncols].size ();
setloglevel (QUIET);
}
{
cprintf (verbose, "%s: test LMC check\n", bstr);
array_link al = exampleArray (1, 1);
lmc_t r = LMCcheckOriginal (al);
myassert (r != LMC_LESS, "LMC check of array in normal form");
for (int i = 0; i < 20; i++) {
array_link alx = al.randomperm ();
if (alx == al)
continue;
lmc_t r = LMCcheckOriginal (alx);
myassert (r == LMC_LESS, "randomized array cannot be in minimal form");
}
}
{
/** Test dof **/
cprintf (verbose, "%s: test delete-one-factor reduction\n", bstr);
array_link al = exampleArray (4);
cprintf (verbose >= 2, "LMC: \n");
al.reduceLMC ();
cprintf (verbose >= 2, "DOP: \n");
al.reduceDOP ();
}
arraylist_t lst;
{
/** Test different methods **/
cprintf (verbose, "%s: test 2 different methods\n", bstr);
const int s = 2;
arraydata_t adata (s, 32, 3, 10);
arraydata_t adata2 (s, 32, 3, 10);
OAextend oaextendx;
oaextendx.setAlgorithm ((algorithm_t)MODE_ORIGINAL, &adata);
OAextend oaextendx2;
oaextendx2.setAlgorithm ((algorithm_t)MODE_LMC_2LEVEL, &adata2);
printf ("OA unittest: test 2-level algorithm on %s\n", adata.showstr ().c_str ());
std::vector< arraylist_t > aa (adata.ncols + 1);
create_root (&adata, aa[adata.strength]);
std::vector< arraylist_t > aa2 (adata.ncols + 1);
create_root (&adata, aa2[adata.strength]);
setloglevel (SYSTEM);
for (int kk = adata.strength; kk < adata.ncols; kk++) {
aa[kk + 1] = extend_arraylist (aa[kk], adata, oaextendx);
aa2[kk + 1] = extend_arraylist (aa2[kk], adata2, oaextendx2);
printf (" extend: column %d->%d: %ld->%ld arrays, 2-level method %ld->%ld arrays\n", kk,
kk + 1, (long) aa[kk].size (), (long)aa[kk + 1].size (), aa2[kk].size (), aa2[kk + 1].size ());
if (aa[kk + 1] != aa2[kk + 1]) {
printf ("oaunittest: error: 2-level algorithm unequal to original algorithm\n");
exit (1);
}
}
setloglevel (QUIET);
lst = aa[8];
}
{
cprintf (verbose, "%s: rank calculation using rankStructure\n", bstr);
for (int i = 0; i < 27; i++) {
array_link al = exampleArray (i, 0);
if (al.n_columns < 5)
continue;
al = exampleArray (i, 1);
rankStructure rs;
rs.verbose = 0;
int r = array2xf (al).rank ();
int rc = rs.rankxf (al);
if (verbose >= 2) {
printf ("rank of example array %d: %d %d\n", i, r, rc);
if (verbose >= 3) {
al.showproperties ();
}
}
myassert (r == rc, "rank calculations");
}
}
{
cprintf (verbose, "%s: test dtable creation\n", bstr);
for (int i = 0; i < 4; i++) {
array_link al = exampleArray (5);
array_link dtable = createJdtable (al);
}
}
{
cprintf (verbose, "%s: test Pareto calculation\n", bstr);
double t0x = get_time_ms ();
int nn = lst.size ();
for (int k = 0; k < 5; k++) {
for (int i = 0; i < nn; i++) {
lst.push_back (lst[i]);
}
}
Pareto< mvalue_t< long >, long > r = parsePareto (lst, 1);
cprintf (verbose, "%s: test Pareto %d/%d: %.3f [s]\n", bstr, r.number (), r.numberindices (),
(get_time_ms () - t0x));
}
{
cprintf (verbose, "%s: check reduction transformation\n", bstr);
array_link al = exampleArray (6).reduceLMC ();
arraydata_t adata = arraylink2arraydata (al);
LMCreduction_t reduction (&adata);
reduction.mode = OA_REDUCE;
reduction.init_state = COPY;
OAextend oaextend;
oaextend.setAlgorithm (MODE_ORIGINAL, &adata);
array_link alr = al.randomperm ();
array_link al2 = reduction.transformation->apply (al);
lmc_t tmp = LMCcheck (alr, adata, oaextend, reduction);
array_link alx = reduction.transformation->apply (alr);
bool c = alx == al;
if (!c) {
printf ("oaunittest: error: reduction of randomized array failed!\n");
printf ("-- al \n");
al.showarraycompact ();
printf ("-- alr \n");
alr.showarraycompact ();
printf ("-- alx \n");
alx.showarraycompact ();
allgood = UNITTEST_FAIL;
}
}
{
cprintf (verbose, "%s: reduce randomized array\n", bstr);
array_link al = exampleArray (3);
arraydata_t adata = arraylink2arraydata (al);
LMCreduction_t reduction (&adata);
for (int ii = 0; ii < 50; ii++) {
reduction.transformation->randomize ();
array_link al2 = reduction.transformation->apply (al);
array_link alr = al2.reduceLMC ();
if (0) {
printf ("\n reduction complete:\n");
al2.showarray ();
printf (" --->\n");
alr.showarray ();
}
bool c = (al == alr);
if (!c) {
printf ("oaunittest: error: reduction of randomized array failed!\n");
allgood = UNITTEST_FAIL;
}
}
}
/* Calculate symmetry group */
{
cprintf (verbose, "%s: calculate symmetry group\n", bstr);
array_link al = exampleArray (2);
symmetry_group sg = al.row_symmetry_group ();
assert (sg.permsize () == sg.permsize_large ().toLong ());
// symmetry_group
std::vector< int > vv;
vv.push_back (0);
vv.push_back (0);
vv.push_back (1);
symmetry_group sg2 (vv);
assert (sg2.permsize () == 2);
if (verbose >= 2)
printf ("sg2: %ld\n", sg2.permsize ());
assert (sg2.ngroups == 2);
}
/* Test efficiencies */
{
cprintf (verbose, "%s: efficiencies\n", bstr);
std::vector< double > d;
int vb = 1;
array_link al;
if (1) {
al = exampleArray (9, vb);
al.showproperties ();
d = al.Defficiencies (0, 1);
if (verbose >= 2)
printf (" efficiencies: D %f Ds %f D1 %f Ds0 %f\n", d[0], d[1], d[2], d[3]);
if (fabs (d[0] - al.Defficiency ()) > 1e-10) {
printf ("oaunittest: error: Defficiency not good!\n");
allgood = UNITTEST_FAIL;
}
}
al = exampleArray (8, vb);
al.showproperties ();
d = al.Defficiencies ();
if (verbose >= 2)
printf (" efficiencies: D %f Ds %f D1 %f\n", d[0], d[1], d[2]);
if (fabs (d[0] - al.Defficiency ()) > 1e-10) {
printf ("oaunittest: error: Defficiency of examlple array 8 not good!\n");
}
al = exampleArray (13, vb);
if (verbose >= 3) {
al.showarray ();
al.showproperties ();
}
d = al.Defficiencies (0, 1);
if (verbose >= 2)
printf (" efficiencies: D %f Ds %f D1 %f\n", d[0], d[1], d[2]);
if ((fabs (d[0] - 0.939014) > 1e-4) || (fabs (d[3] - 0.896812) > 1e-4) || (fabs (d[2] - 1) > 1e-4)) {
printf ("ERROR: D-efficiencies of example array 13 incorrect! \n");
d = al.Defficiencies (2, 1);
printf (" efficiencies: D %f Ds %f D1 %f Ds0 %f\n", d[0], d[1], d[2], d[3]);
allgood = UNITTEST_FAIL;
exit (1);
}
for (int ii = 11; ii < 11; ii++) {
printf ("ii %d: ", ii);
al = exampleArray (ii, vb);
al.showarray ();
al.showproperties ();
d = al.Defficiencies ();
if (verbose >= 2)
printf (" efficiencies: D %f Ds %f D1 %f\n", d[0], d[1], d[2]);
}
}
{
cprintf (verbose, "%s: test robustness\n", bstr);
array_link A (0, 8, 0);
printf ("should return an error\n ");
A.Defficiencies ();
A = array_link (1, 8, 0);
printf ("should return an error\n ");
A.at (0, 0) = -2;
A.Defficiencies ();
}
{
cprintf (verbose, "%s: test nauty\n", bstr);
array_link alr = exampleArray (7, 0);
if (unittest_nautynormalform (alr, 1) == 0) {
printf ("oaunittest: error: unittest_nautynormalform returns an error!\n");
}
}
#ifdef HAVE_BOOST
if (writetests) {
cprintf (verbose, "OA unittest: reading and writing of files\n");
boost::filesystem::path tmpdir = boost::filesystem::temp_directory_path ();
boost::filesystem::path temp = boost::filesystem::unique_path ("test-%%%%%%%.oa");
const std::string tempstr = (tmpdir / temp).native ();
if (verbose >= 2)
printf ("generate text OA file: %s\n", tempstr.c_str ());
int nrows = 16;
int ncols = 8;
int narrays = 10;
arrayfile_t afile (tempstr.c_str (), nrows, ncols, narrays, ATEXT);
for (int i = 0; i < narrays; i++) {
array_link al (nrows, ncols, array_link::INDEX_DEFAULT);
afile.append_array (al);
}
afile.closefile ();
arrayfile_t af (tempstr.c_str (), 0);
std::cout << " " << af.showstr () << std::endl;
af.closefile ();
// check read/write of binary file
arraylist_t ll0;
ll0.push_back (exampleArray (7));
ll0.push_back (exampleArray (7).randomcolperm ());
writearrayfile (tempstr.c_str (), ll0, ABINARY);
arraylist_t ll = readarrayfile (tempstr.c_str ());
myassert (ll0.size () == ll.size (), "read and write of arrays: size of list");
for (size_t i = 0; i < ll0.size (); i++) {
myassert (ll0[i] == ll[i], "read and write of arrays: array unequal");
}
ll0.resize (0);
ll0.push_back (exampleArray (24));
writearrayfile (tempstr.c_str (), ll0, ABINARY_DIFFZERO);
ll = readarrayfile (tempstr.c_str ());
myassert (ll0.size () == ll.size (), "read and write of arrays: size of list");
for (size_t i = 0; i < ll0.size (); i++) {
myassert (ll0[i] == ll[i], "read and write of arrays: array unequal");
}
}
#endif
{
cprintf (verbose, "OA unittest: test nauty\n");
array_link al = exampleArray (5, 2);
arraydata_t arrayclass = arraylink2arraydata (al);
for (int i = 0; i < 20; i++) {
array_link alx = al;
alx.randomperm ();
array_transformation_t t1 = reduceOAnauty (al);
array_link alr1 = t1.apply (al);
array_transformation_t t2 = reduceOAnauty (alx);
array_link alr2 = t2.apply (alx);
if (alr1 != alr2)
printf ("oaunittest: error: Nauty reductions unequal!\n");
allgood = UNITTEST_FAIL;
}
}
cprintf (verbose, "OA unittest: complete %.3f [s]!\n", (get_time_ms () - t0));
cprintf (verbose, "OA unittest: also run ptest.py to perform checks!\n");
if (allgood) {
printf ("OA unittest: all tests ok\n");
return UNITTEST_SUCCESS;
} else {
printf ("OA unittest: ERROR!\n");
return UNITTEST_FAIL;
}
}