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// GetDP - Copyright (C) 1997-2018 P. Dular and C. Geuzaine, University of Liege
//
// See the LICENSE.txt file for license information. Please report all
// issues on https://gitlab.onelab.info/getdp/getdp/issues
#include "GetDPConfig.h"
#include "ProData.h"
#include "F.h"
#include "Message.h"
extern struct CurrentData Current ;
#if defined(HAVE_GMSH)
#include <gmsh/GmshGlobal.h>
#include <gmsh/PView.h>
#include <gmsh/PViewData.h>
void F_Field(F_ARG)
{
if(A->Type != VECTOR){
Message::Error("Field[] expects XYZ coordinates as argument");
return;
}
if(PView::list.empty()){
Message::Error("No views available to interpolate from");
return;
}
double x = A->Val[0];
double y = A->Val[1];
double z = A->Val[2];
if(Fct->NbrArguments > 1){
Message::Error("Time and additional arguments are not supported in Field: "
"use {Scalar,Vector,Tensor}Field instead");
return;
}
for (int k = 0; k < Current.NbrHar; k++)
for (int j = 0; j < 9; j++)
V->Val[MAX_DIM * k + j] = 0. ;
V->Type = SCALAR;
std::vector<int> iview;
if(!Fct->NbrParameters){
// use last view by default
iview.push_back(PView::list.back()->getTag());
}
else{
for(int i = 0; i < Fct->NbrParameters; i++)
iview.push_back(Fct->Para[i]);
}
double N = 0.;
// add the values from all specified views
for(unsigned int i = 0; i < iview.size(); i++){
PView *v = PView::getViewByTag(iview[i]);
if(!v){
Message::Error("View with tag %d does not exist", iview[i]);
return;
}
PViewData *data = v->getData();
std::vector<double> val(9 * data->getNumTimeSteps());
if(data->searchScalar(x, y, z, &val[0])){
V->Val[0] += val[0];
if(Current.NbrHar == 2 && data->getNumTimeSteps() > 1)
V->Val[MAX_DIM] += val[1];
V->Type = SCALAR;
N += 1.;
}
else if(data->searchVector(x, y, z, &val[0])){
for(int j = 0; j < 3; j++)
V->Val[j] += val[j];
if(Current.NbrHar == 2 && data->getNumTimeSteps() > 1){
for(int j = 0; j < 3; j++)
V->Val[MAX_DIM + j] += val[3 + j];
}
V->Type = VECTOR;
N += 1.;
}
else if(data->searchTensor(x, y, z, &val[0])){
for(int j = 0; j < 9; j++)
V->Val[j] += val[j];
if(Current.NbrHar == 2 && data->getNumTimeSteps() > 1){
for(int j = 0; j < 9; j++)
V->Val[MAX_DIM + j] += val[9 + j];
}
V->Type = TENSOR;
N += 1.;
}
else{
Message::Error("Did not find data at point (%g,%g,%g) in View with tag %d",
x, y, z, iview[i]);
}
}
if(N > 1.){
Message::Debug("Averaging data %g times on vertex (%g,%g,%g)", N, x, y, z);
for (int k = 0; k < Current.NbrHar; k++)
for (int j = 0; j < 9; j++)
V->Val[MAX_DIM * k + j] = 0. ;
}
}
static void F_X_Field(F_ARG, int type, bool complex, bool grad=false)
{
if(A->Type != VECTOR){
Message::Error("Field[] expects XYZ coordinates as argument");
return;
}
if(PView::list.empty()){
Message::Error("No views available to interpolate from");
return;
}
double x = A->Val[0];
double y = A->Val[1];
double z = A->Val[2];
int numComp = (type == SCALAR) ? (grad ? 3 : 1) :
(type == VECTOR) ? (grad ? 9 : 3) : 9; // TODO: grad of tensor
int NbrArg = Fct->NbrArguments ;
int TimeStep = 0, MatchElement = 0;
if(NbrArg >= 2){
if((A+1)->Type != SCALAR){
Message::Error("Expected scalar second argument (time step)");
return;
}
TimeStep = (int)(A+1)->Val[0];
}
if(NbrArg >= 3){
if((A+2)->Type != SCALAR){
Message::Error("Expected scalar second argument (element matching flag)");
return;
}
MatchElement = (int)(A+2)->Val[0];
}
// TODO: we could treat the third arguement as a tolerance (and call
// searchScalarWithTol & friends)
// Complex{Scalar,Vector,Tensor}Field assume that the Gmsh view contains real
// and imaginary parts for each step
if(complex) TimeStep *= 2;
for (int k = 0; k < Current.NbrHar; k++)
for (int j = 0; j < numComp; j++)
V->Val[MAX_DIM * k + j] = 0. ;
V->Type = (numComp == 1) ? SCALAR : (numComp == 3) ? VECTOR : TENSOR;
std::vector<int> iview;
if(!Fct->NbrParameters){
// use last view by default
iview.push_back(PView::list.back()->getTag());
}
else{
for(int i = 0; i < Fct->NbrParameters; i++)
iview.push_back(Fct->Para[i]);
}
int qn = 0;
double *qx = 0, *qy = 0, *qz = 0;
if(Current.Element){
qn = MatchElement ? Current.Element->GeoElement->NbrNodes : 0;
qx = Current.Element->x;
qy = Current.Element->y;
qz = Current.Element->z;
}
double N = 0.;
// add the values from all specified views
for(unsigned int i = 0; i < iview.size(); i++){
PView *v = PView::getViewByTag(iview[i]);
if(!v){
Message::Error("View with tag %d does not exist", iview[i]);
return;
}
PViewData *data = v->getData();
if(TimeStep < 0 || TimeStep >= data->getNumTimeSteps()){
Message::Error("Invalid step %d in View with tag %d", TimeStep, iview[i]);
continue;
}
std::vector<double> val(numComp * data->getNumTimeSteps());
bool found = false;
switch(type){
case SCALAR :
if(data->searchScalar(x, y, z, &val[0], -1, 0, qn, qx, qy, qz, grad))
found = true;
break;
case VECTOR :
if(data->searchVector(x, y, z, &val[0], -1, 0, qn, qx, qy, qz, grad))
found = true;
break;
case TENSOR :
// TODO: grad of tensor not allowed yet - not sure how we should return
// the values; provide 3 routines that return 3 tensors, or add argumemt
// to select what to return?
if(data->searchTensor(x, y, z, &val[0], -1, 0, qn, qx, qy, qz, false))
found = true;
break;
}
if(found){
for(int j = 0; j < numComp; j++)
V->Val[j] += val[numComp * TimeStep + j];
if(complex && Current.NbrHar == 2 && data->getNumTimeSteps() > TimeStep + 1)
for(int j = 0; j < numComp; j++)
V->Val[MAX_DIM + j] += val[numComp * (TimeStep + 1) + j];
N += 1.;
}
}
if(N > 1.){
Message::Debug("Averaging data %g times on vertex (%g,%g,%g)", N, x, y, z);
for (int k = 0; k < Current.NbrHar; k++)
for (int j = 0; j < numComp; j++)
V->Val[MAX_DIM * k + j] /= N ;
}
}
#else
void F_Field(F_ARG)
{
Message::Error("You need to compile GetDP with Gmsh support to use 'Field'");
V->Val[0] = 0. ;
V->Type = SCALAR ;
}
static void F_X_Field(F_ARG, int type, bool complex, bool grad=false)
{
Message::Error("You need to compile GetDP with Gmsh support to use 'Field'");
V->Val[0] = 0. ;
V->Type = SCALAR ;
}
#endif
void F_ScalarField(F_ARG){ F_X_Field(Fct, A, V, SCALAR, false); }
void F_VectorField(F_ARG){ F_X_Field(Fct, A, V, VECTOR, false); }
void F_TensorField(F_ARG){ F_X_Field(Fct, A, V, TENSOR, false); }
void F_ComplexScalarField(F_ARG){ F_X_Field(Fct, A, V, SCALAR, true); }
void F_ComplexVectorField(F_ARG){ F_X_Field(Fct, A, V, VECTOR, true); }
void F_ComplexTensorField(F_ARG){ F_X_Field(Fct, A, V, TENSOR, true); }
void F_GradScalarField(F_ARG){ F_X_Field(Fct, A, V, SCALAR, false, true); }
void F_GradVectorField(F_ARG){ F_X_Field(Fct, A, V, VECTOR, false, true); }
void F_GradComplexScalarField(F_ARG){ F_X_Field(Fct, A, V, SCALAR, true, true); }
void F_GradComplexVectorField(F_ARG){ F_X_Field(Fct, A, V, VECTOR, true, true); }
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