ibool Preferences::OnCmdMenuColorChange(Param& param)
{
if (param.Button().Clicked())
{
static COLORREF customColors[16] = {0};
Object::Pod<CHOOSECOLOR> cc;
MenuColorWindow& type = menuColorWindows[param.Button().GetId() == IDC_PREFERENCES_MENUCOLOR_FULLSCREEN_CHANGE];
cc.lStructSize = sizeof(cc);
cc.hwndOwner = dialog;
cc.lpCustColors = customColors;
cc.rgbResult = type.color;
cc.Flags = CC_FULLOPEN|CC_RGBINIT;
if (::ChooseColor( &cc ))
{
type.color = cc.rgbResult;
UpdateColors();
}
}
return true;
}
int main(int argc, char **argv) {
ImageParam im1(UInt(8), 1);
Buffer<uint8_t> im2(10), im3(20);
Param<int> j;
assert(im1.dimensions() == 1);
assert(im2.dimensions() == 1);
assert(im3.dimensions() == 1);
Func f;
Var x;
f(x) = x + im1.width();
RDom r(0, clamp(im2(j), 0, 99));
f(r) = 37;
im2(3) = 10;
j.set(3);
im1.set(im3);
Buffer<int> result = f.realize(100);
for (int i = 0; i < 100; i++) {
int correct = i < im2(3) ? 37 : (i+20);
if (result(i) != correct) {
printf("result(%d) = %d instead of %d\n", i, result(i), correct);
return -1;
}
}
printf("Success!\n");
return 0;
}
void Initializer::apply(Param& param) {
param.init();
for (Piece p = Piece::PAWN; p <= Piece::DRAGON; p.toNext()) {
param.setPiece(p, pieceValues[p]);
}
param.cumulate();
}
void check(MemoryType t1, MemoryType t2, MemoryType t3) {
Var x;
// By default, small constant-sized allocations, or
// allocations that can be bounded with a small constant size,
// go on the stack. Other allocations go on the heap.
Func f1, f2, f3;
f1(x) = x;
f1.compute_root().store_in(t1);
f2(x) = x;
f2.compute_root().store_in(t2);
f3(x) = x;
f3.compute_root().store_in(t3);
Func f;
Param<bool> p;
f(x) = (f1(0) + f1(1)) + f2(select(p, 0, 2)) + f2(0) + f3(x % 1000);
p.set(true);
int expected_mallocs = ((t1 == MemoryType::Heap ? 1 : 0) +
(t2 == MemoryType::Heap ? 1 : 0) +
(t3 == MemoryType::Heap ? 1 : 0));
mallocs = 0;
f.set_custom_allocator(my_malloc, my_free);
f.realize(1024);
if (mallocs != expected_mallocs) {
std::cerr << "Wrong number of mallocs for " << t1 << ", " << t2 << ", " << t3 << "\n"
<< "Expected " << expected_mallocs << " got " << mallocs << "\n";
exit(-1);
}
}
int main(int argc, char **argv) {
Var x, y, z;
Func f;
Param<int> k;
k.set(3);
f(x, y, z) = x*y+z*k+1;
f.parallel(x);
f.parallel(y);
f.parallel(z);
Image<int> im = f.realize(64, 64, 64);
for (int x = 0; x < 64; x++) {
for (int y = 0; y < 64; y++) {
for (int z = 0; z < 64; z++) {
if (im(x, y, z) != x*y+z*3+1) {
printf("im(%d, %d, %d) = %d\n", x, y, z, im(x, y, z));
return -1;
}
}
}
}
printf("Success!\n");
return 0;
}
int main()
{
Param * p = NULL;
bool result = false;
// show structure size
std::cout << "size of Param: " << sizeof(Param) << std::endl;
// param1
result = Param::getDict().get("param1", p);
assert(result);
assert(p->getType() == Param::FLOAT);
assert(fabs(p->getFloat() - 1.0f) < 1e-20);
assert(p->getInt() == 1);
// param2
result = Param::getDict().get("param2", p);
assert(result);
assert(p->getType() == Param::INT);
assert(fabs(p->getFloat() - 2.0f) < 1e-20);
assert(p->getInt() == 2);
// param3
result = Param::getDict().get("param3", p);
assert(result);
assert(p->getType() == Param::FLOAT);
assert(fabs(p->getFloat() - 1.3f) < 1e-20);
assert(p->getInt() == 1);
};
void InternalCalibration::calibrateMapGlobally(const FeatureMap<> & feature_map, FeatureMap<> & calibrated_feature_map, std::vector<PeptideIdentification> & ref_ids, String trafo_file_name)
{
checkReferenceIds_(ref_ids);
calibrated_feature_map = feature_map;
// clear the ids
for (Size f = 0; f < calibrated_feature_map.size(); ++f)
{
calibrated_feature_map[f].getPeptideIdentifications().clear();
}
// map the reference ids onto the features
IDMapper mapper;
Param param;
param.setValue("rt_tolerance", (DoubleReal)param_.getValue("rt_tolerance"));
param.setValue("mz_tolerance", param_.getValue("mz_tolerance"));
param.setValue("mz_measure", param_.getValue("mz_tolerance_unit"));
mapper.setParameters(param);
std::vector<ProteinIdentification> vec;
mapper.annotate(calibrated_feature_map, ref_ids, vec);
// calibrate
calibrateMapGlobally(calibrated_feature_map, calibrated_feature_map, trafo_file_name);
// copy the old ids
calibrated_feature_map.setUnassignedPeptideIdentifications(feature_map.getUnassignedPeptideIdentifications());
for (Size f = 0; f < feature_map.size(); ++f)
{
calibrated_feature_map[f].getPeptideIdentifications().clear();
if (!feature_map[f].getPeptideIdentifications().empty())
{
calibrated_feature_map[f].setPeptideIdentifications(feature_map[f].getPeptideIdentifications());
}
}
}
void diff2(Param<T> out, CParam<T> in, int const dim)
{
af::dim4 dims = out.dims();
// Bool for dimension
bool is_dim0 = dim == 0;
bool is_dim1 = dim == 1;
bool is_dim2 = dim == 2;
bool is_dim3 = dim == 3;
T const * const inPtr = in.get();
T * outPtr = out.get();
// TODO: Improve this
for(dim_t l = 0; l < dims[3]; l++) {
for(dim_t k = 0; k < dims[2]; k++) {
for(dim_t j = 0; j < dims[1]; j++) {
for(dim_t i = 0; i < dims[0]; i++) {
// Operation: out[index] = in[index + 1 * dim_size] - in[index]
int idx = getIdx(in.strides(), i, j, k, l);
int jdx = getIdx(in.strides(),
i + is_dim0, j + is_dim1,
k + is_dim2, l + is_dim3);
int kdx = getIdx(in.strides(),
i + 2 * is_dim0, j + 2 * is_dim1,
k + 2 * is_dim2, l + 2 * is_dim3);
int odx = getIdx(out.strides(), i, j, k, l);
outPtr[odx] = inPtr[kdx] + inPtr[idx] - inPtr[jdx] - inPtr[jdx];
}
}
}
}
}
int non_trivial_allocate_predicate_test(bool toggle_val, int index) {
buffer_index = index;
Param<bool> toggle;
Func f1("f1_" + std::to_string(index)), f2("f2_" + std::to_string(index));
Func f3("f3_" + std::to_string(index));
Var x;
// Generate allocate f1[...] if toggle
f1(x) = 2*x;
f2(x) = select(toggle, f1(x), 1);
f3(x) = select(toggle, f2(x), 1);
f1.compute_root().memoize();
f2.compute_root().memoize();
f3.set_custom_trace(&double_toggle_trace);
f1.trace_stores();
f2.trace_stores();
f3.compile_jit();
set_toggle1 = toggle_val;
set_toggle2 = toggle_val;
toggle.set(set_toggle1);
Image<int> out = f3.realize(10);
if (check_correctness_single(out, set_toggle1) != 0) {
return -1;
}
return 0;
}
Param getSubsectionDefaults_(const String& /*section*/) const
{
// there is only one subsection: 'algorithm' (s.a) .. and in it belongs the PeakPicker param
Param tmp;
tmp.insert("PeakPicker:", PeakPickerCWT().getDefaults());
return tmp;
}
////////////////////////////////////////////////////////////////////////////////
// MatlabEngine::StringMatrix definitions //
////////////////////////////////////////////////////////////////////////////////
MatlabEngine::StringMatrix::StringMatrix( const Param& p )
: vector<vector<string> >( p.NumRows(), vector<string>( p.NumColumns() ) )
{
for( size_t row = 0; row < size(); ++row )
for( size_t column = 0; column < ( *this )[ row ].size(); ++column )
( *this )[ row ][ column ] = p.Value( row, column );
}
// for SWATH -- get the theoretical b and y series masses for a sequence
void getBYSeries(AASequence& a, //
std::vector<double>& bseries, //
std::vector<double>& yseries, //
UInt charge //
)
{
OPENMS_PRECONDITION(charge > 0, "Charge is a positive integer");
TheoreticalSpectrumGenerator generator;
Param p;
p.setValue("add_metainfo", "true",
"Adds the type of peaks as metainfo to the peaks, like y8+, [M-H2O+2H]++");
generator.setParameters(p);
RichPeakSpectrum rich_spec;
generator.addPeaks(rich_spec, a, Residue::BIon, charge);
generator.addPeaks(rich_spec, a, Residue::YIon, charge);
for (RichPeakSpectrum::iterator it = rich_spec.begin();
it != rich_spec.end(); ++it)
{
if (it->getMetaValue("IonName").toString()[0] == 'y')
{
yseries.push_back(it->getMZ());
}
else if (it->getMetaValue("IonName").toString()[0] == 'b')
{
bseries.push_back(it->getMZ());
}
}
} // end getBYSeries
int main(int argc, const char** argv)
{
if (argc < 2) return 1;
// the path to the data should be given on the command line
String tutorial_data_path(argv[1]);
PeakMap exp_raw;
PeakMap exp_picked;
MzMLFile mzml_file;
mzml_file.load(tutorial_data_path + "/data/Tutorial_PeakPickerCWT.mzML", exp_raw);
PeakPickerCWT pp;
Param param;
param.setValue("peak_width", 0.1);
pp.setParameters(param);
pp.pickExperiment(exp_raw, exp_picked);
exp_picked.updateRanges();
cout << "\nMinimal fwhm of a mass spectrometric peak: " << (DoubleReal)param.getValue("peak_width")
<< "\n\nNumber of picked peaks " << exp_picked.getSize() << std::endl;
return 0;
} //end of main
int single_memoize_test(bool toggle_val, int index) {
buffer_index = index;
Param<bool> toggle;
Func f1("f1_" + std::to_string(index)), f2("f2_" + std::to_string(index));
Var x;
f1(x) = 2*x;
f2(x) = select(toggle, f1(x), 1);
f1.compute_root().memoize();
f2.set_custom_trace(&single_toggle_trace);
f1.trace_stores();
f2.compile_jit();
set_toggle1 = toggle_val;
toggle.set(set_toggle1);
Image<int> out = f2.realize(10);
if (check_correctness_single(out, set_toggle1) != 0) {
return -1;
}
return 0;
}
int tuple_memoize_test(bool toggle_val, int index) {
buffer_index = index;
Param<bool> toggle;
Func f1("f1_" + std::to_string(index)), f2("f2_" + std::to_string(index));
Var x;
f1(x) = Tuple(2*x, 2*x);
f2(x) = Tuple(select(toggle, f1(x)[0], 1),
select(toggle, f1(x)[1], 1));
f1.compute_root().memoize();
f2.set_custom_trace(&single_toggle_trace);
f1.trace_stores();
f2.compile_jit();
set_toggle1 = toggle_val;
toggle.set(set_toggle1);
Realization out = f2.realize(128);
Image<int> out0 = out[0];
Image<int> out1 = out[1];
if (check_correctness_single(out0, set_toggle1) != 0) {
return -1;
}
if (check_correctness_single(out1, set_toggle1) != 0) {
return -1;
}
return 0;
}
int main(int argc, char **argv) {
Var x("x");
Func f("f");
Param<float> u;
f(x) = u;
std::string target = get_target();
if (target == "ptx" || target == "ptx-debug") {
f.cuda_tile(x, 256);
}
u.set(17.0f);
Image<float> out_17 = f.realize(1024);
u.set(123.0f);
Image<float> out_123 = f.realize(1024);
for (int i = 0; i < 1024; i++) {
if (out_17(i) != 17.0f || out_123(i) != 123.0f) {
printf("Failed!\n");
for (int i = 0; i < 1024; i++) {
printf("%f %f\n", out_17(i), out_123(i));
}
return -1;
}
}
printf("Success!\n");
return 0;
}
Param*
_TParamDef::param_get_ptr_suffix( ParamList* inList, const char* inName, long inSuffix )
{
Param* result = NULL;
string _name = inName,
_blankName = _name;
unsigned int _replacePos = _name.find( RUNTIME_SUFFIX );
assert( _replacePos != string::npos );
_blankName.erase( _replacePos, sizeof( RUNTIME_SUFFIX ) - 1 );
ostringstream _suffix;
_suffix << inSuffix;
_name.replace( _replacePos, sizeof( RUNTIME_SUFFIX ) - 1, _suffix.str() );
if( inList->Exists( _name ) )
result = &( *inList )[ _name ];
else
{
static Param p;
if( inList->Exists( _blankName ) )
{
Param& param = ( *inList )[ _blankName ];
p.SetType( "list" );
p.SetNumValues( param.NumValues() );
for( int i = 0; i < param.NumColumns(); ++i )
p.Value( i ) = param.Value( inSuffix, i );
result = &p;
}
}
return result;
}
void Session::_BindParameter(sqlite3_stmt *statement, const Param ¶m, int position)
{
Param::ParamType type = param.GetType();
int result;
switch(type)
{
case Param::TYPE_STRING:
#ifdef UNICODE
result = sqlite3_bind_text16(statement, position, param.GetValue(),-1,NULL);
#else
sqlite3_bind_text(statement, position, (TCHAR)param.GetValue()),-1,NULL);
#endif
break;
case Param::TYPE_INT:
result = sqlite3_bind_int(statement, position, *((int*)param.GetValue()));
break;
default:
result = sqlite3_bind_double(statement, position, *((double*)param.GetValue()));
break;
}
if(result != SQLITE_OK)
{
throw SessionException(_T("Could not bind parameter"));
}
}
void testOutput() {
Tokens::Unless* token = new Tokens::Unless(0);
token->add(new Tokens::Text("hi world"));
Param* param = new Param(0);
param->add(true, operatorNone, operatorNone);
token->addArg(0, param);
CPPUNIT_ASSERT(token->output() == "");
param = new Param(0);
param->add(false, operatorNone, operatorNone);
token->setArg(0, param);
CPPUNIT_ASSERT(token->output() == "hi world");
iBlock* block = new iBlock((iBlock*) 0);
block->add(new Tokens::Text("hi hell"));
token->setAltToken(block);
CPPUNIT_ASSERT(token->output() == "hi world");
param = new Param(0);
param->add(true, operatorNone, operatorNone);
token->setArg(0, param);
CPPUNIT_ASSERT(token->output() == "hi hell");
delete token;
}
bool ParamManager::load_from_file(std::string filename)
{
try
{
YAML::Node root = YAML::LoadFile(filename);
assert(root.IsSequence());
for (int i = 0; i < root.size(); i++)
{
if (root[i].IsMap() && root[i]["name"] && root[i]["type"] && root[i]["value"])
{
if (is_param_id(root[i]["name"].as<std::string>()))
{
Param param = params_.find(root[i]["name"].as<std::string>())->second;
if ((MAV_PARAM_TYPE) root[i]["type"].as<int>() == param.getType())
{
set_param_value(root[i]["name"].as<std::string>(), root[i]["value"].as<double>());
}
}
}
}
return true;
}
catch (...)
{
return false;
}
}
int main(int argc, char **argv) {
Var x("x");
Func f("f");
Param<float> u;
f(x) = u;
Target target = get_target_from_environment();
if (target.features & Target::CUDA) {
f.cuda_tile(x, 256);
}
u.set(17.0f);
Image<float> out_17 = f.realize(1024);
u.set(123.0f);
Image<float> out_123 = f.realize(1024);
for (int i = 0; i < 1024; i++) {
if (out_17(i) != 17.0f || out_123(i) != 123.0f) {
printf("Failed!\n");
for (int i = 0; i < 1024; i++) {
printf("%f %f\n", out_17(i), out_123(i));
}
return -1;
}
}
printf("Success!\n");
return 0;
}
Point3d<T> Cone<T>::getPoint(const Param<T> u, const Param<T> v) const
{
const auto pos = getPosition(u, v);
const auto norm = getNormal(u, v);
const Vector2d<T> param(u.get(), v.get());
return Point3d<T>(pos, norm, param);
}
void transpose_inplace(Param<T> input) {
const dim4 idims = input.dims();
const dim4 istrides = input.strides();
T *in = input.get();
for (dim_t l = 0; l < idims[3]; ++l) {
for (dim_t k = 0; k < idims[2]; ++k) {
// Outermost loop handles batch mode
// if input has no data along third dimension
// this loop runs only once
//
// Run only bottom triangle. std::swap swaps with upper triangle
for (dim_t j = 0; j < idims[1]; ++j) {
for (dim_t i = j + 1; i < idims[0]; ++i) {
// calculate array indices based on offsets and strides
// the helper getIdx takes care of indices
const dim_t iIdx = getIdx(istrides, j, i, k, l);
const dim_t oIdx = getIdx(istrides, i, j, k, l);
if (conjugate) {
in[iIdx] = getConjugate(in[iIdx]);
in[oIdx] = getConjugate(in[oIdx]);
std::swap(in[iIdx], in[oIdx]);
} else {
std::swap(in[iIdx], in[oIdx]);
}
}
}
}
}
}
Param getSubsectionDefaults_(const String& /*section*/) const override
{
Param combined;
Param p_com;
p_com.setValue("noise_threshold_int", 10.0, "Intensity threshold below which peaks are regarded as noise.");
p_com.setValue("chrom_peak_snr", 3.0, "Minimum signal-to-noise a mass trace should have.");
p_com.setValue("chrom_fwhm", 5.0, "Expected chromatographic peak width (in seconds).");
combined.insert("common:", p_com);
Param p_mtd = MassTraceDetection().getDefaults();
p_mtd.remove("noise_threshold_int");
p_mtd.remove("chrom_peak_snr");
combined.insert("mtd:", p_mtd);
Param p_epd = ElutionPeakDetection().getDefaults();
p_epd.remove("noise_threshold_int");
p_epd.remove("chrom_peak_snr");
p_epd.remove("chrom_fwhm");
p_epd.setValue("enabled", "true", "Enables/disables the chromatographic peak detection of mass traces");
p_epd.setValidStrings("enabled", ListUtils::create<String>("true,false"));
combined.insert("epd:", p_epd);
return combined;
}
void transpose(Param<T> output, CParam<T> input) {
const dim4 odims = output.dims();
const dim4 ostrides = output.strides();
const dim4 istrides = input.strides();
T *out = output.get();
T const *const in = input.get();
for (dim_t l = 0; l < odims[3]; ++l) {
for (dim_t k = 0; k < odims[2]; ++k) {
// Outermost loop handles batch mode
// if input has no data along third dimension
// this loop runs only once
for (dim_t j = 0; j < odims[1]; ++j) {
for (dim_t i = 0; i < odims[0]; ++i) {
// calculate array indices based on offsets and strides
// the helper getIdx takes care of indices
const dim_t inIdx = getIdx(istrides, j, i, k, l);
const dim_t outIdx = getIdx(ostrides, i, j, k, l);
if (conjugate)
out[outIdx] = getConjugate(in[inIdx]);
else
out[outIdx] = in[inIdx];
}
}
// outData and inData pointers doesn't need to be
// offset as the getIdx function is taking care
// of the batch parameter
}
}
}
int AmContentType::parseParams(const char* c, const char* end)
{
list<sip_avp*> avp_params;
if(parse_gen_params_sc(&avp_params, &c, end-c, '\0') < 0) {
if(!avp_params.empty()) free_gen_params(&avp_params);
return -1;
}
for(list<sip_avp*>::iterator it_ct_param = avp_params.begin();
it_ct_param != avp_params.end();++it_ct_param) {
DBG("parsed new content-type parameter: <%.*s>=<%.*s>",
(*it_ct_param)->name.len,(*it_ct_param)->name.s,
(*it_ct_param)->value.len,(*it_ct_param)->value.s);
Param* p = new Param(c2stlstr((*it_ct_param)->name),
c2stlstr((*it_ct_param)->value));
if(p->parseType()) {
free_gen_params(&avp_params);
delete p;
return -1;
}
if(p->type == Param::BOUNDARY)
mp_boundary = p;
params.push_back(p);
}
free_gen_params(&avp_params);
return 0;
}
int simple_rfactor_with_specialize_test(bool compile_module) {
Func f("f"), g("g");
Var x("x"), y("y");
f(x, y) = x + y;
f.compute_root();
g(x, y) = 40;
RDom r(10, 20, 30, 40);
g(r.x, r.y) = min(f(r.x, r.y) + 2, g(r.x, r.y));
Param<int> p;
Var u("u");
Func intm = g.update(0).specialize(p >= 10).rfactor(r.y, u);
intm.compute_root();
intm.vectorize(u, 8);
intm.update(0).vectorize(r.x, 2);
if (compile_module) {
p.set(20);
// Check the call graphs.
Module m = g.compile_to_module({g.infer_arguments()});
CheckCalls checker;
m.functions().front().body.accept(&checker);
CallGraphs expected = {
{g.name(), {}},
{g.update(0).name(), {f.name(), intm.name(), g.name()}},
{intm.name(), {}},
{intm.update(0).name(), {f.name(), intm.name()}},
{f.name(), {}},
};
if (check_call_graphs(checker.calls, expected) != 0) {
return -1;
}
} else {
{
p.set(0);
Image<int> im = g.realize(80, 80);
auto func = [](int x, int y, int z) {
return (10 <= x && x <= 29) && (30 <= y && y <= 69) ? std::min(x + y + 2, 40) : 40;
};
if (check_image(im, func)) {
return -1;
}
}
{
p.set(20);
Image<int> im = g.realize(80, 80);
auto func = [](int x, int y, int z) {
return (10 <= x && x <= 29) && (30 <= y && y <= 69) ? std::min(x + y + 2, 40) : 40;
};
if (check_image(im, func)) {
return -1;
}
}
}
return 0;
}
void wrap_dim(Param<T> out, CParam<T> in, const dim_t wx, const dim_t wy,
const dim_t sx, const dim_t sy, const dim_t px, const dim_t py) {
const T* inPtr = in.get();
T* outPtr = out.get();
af::dim4 idims = in.dims();
af::dim4 odims = out.dims();
af::dim4 istrides = in.strides();
af::dim4 ostrides = out.strides();
dim_t nx = (odims[0] + 2 * px - wx) / sx + 1;
for (dim_t w = 0; w < idims[3]; w++) {
for (dim_t z = 0; z < idims[2]; z++) {
dim_t cIn = w * istrides[3] + z * istrides[2];
dim_t cOut = w * ostrides[3] + z * ostrides[2];
const T* iptr_ = inPtr + cIn;
T* optr = outPtr + cOut;
for (dim_t col = 0; col < idims[d]; col++) {
// Offset output ptr
const T* iptr = iptr_ + col * istrides[d];
// Calculate input window index
dim_t winy = (col / nx);
dim_t winx = (col % nx);
dim_t startx = winx * sx;
dim_t starty = winy * sy;
dim_t spx = startx - px;
dim_t spy = starty - py;
// Short cut condition ensuring all values within input
// dimensions
bool cond = (spx >= 0 && spx + wx < odims[0] && spy >= 0 &&
spy + wy < odims[1]);
for (dim_t y = 0; y < wy; y++) {
for (dim_t x = 0; x < wx; x++) {
dim_t xpad = spx + x;
dim_t ypad = spy + y;
dim_t iloc = (y * wx + x);
if (d == 0) iloc *= istrides[1];
if (cond || (xpad >= 0 && xpad < odims[0] &&
ypad >= 0 && ypad < odims[1])) {
dim_t oloc =
(ypad * ostrides[1] + xpad * ostrides[0]);
// FIXME: When using threads, atomize this
optr[oloc] += iptr[iloc];
}
}
}
}
}
}
}
void TransformationModelLinear::getDefaultParameters(Param& params)
{
params.clear();
params.setValue("symmetric_regression", "false", "Perform linear regression"
" on 'y - x' vs. 'y + x', instead of on 'y' vs. 'x'.");
params.setValidStrings("symmetric_regression",
ListUtils::create<String>("true,false"));
}
// **************************************************************************
// Function: Add
// Purpose: adds a new parameter to the list of parameters
// if a parameter with the same name already exists,
// it updates the currently stored parameter with the provided values
// Parameters: inParam - reference to a Param object representing the
// parameter,
// inSortingHint - float value used as an additional sorting
// criterion.
// Returns: N/A
// **************************************************************************
void
ParamList::Add( const Param& inParam, float inSortingHint )
{
ByName( inParam.Name() );
ParamEntry& entry = mParams[inParam.Name()];
entry.Param = inParam;
entry.SortingHint = inSortingHint;
}