void Character::update()
{
if(characterSet == CHARACTER_PLAYER) {
for(std::list <MessageOverHeadClass>::iterator it=messageOverHead.begin(); it!=messageOverHead.end();) {
if(it->fadesAway) {
it->alpha -= deltaTime*5.f;
if(it->alpha <= 0.f) {
it = messageOverHead.erase(it);
continue;
}
}
else {
it->alpha += deltaTime*25.f;
if(it->alpha > 255.f) it->alpha = 255.f;
}
if(globalTime >= it->timeout_startFadingAway) {
it->fadesAway = true;
}
++it;
}
if(ID == playerCharacterID) return;;
}
if(!isSeen) return;;
float tmp = dir-destDir;
if(tmp < -M_PI) tmp += 2*M_PI;
if(tmp > M_PI) tmp -= 2*M_PI;
if(fabs(tmp) <= deltaTime/2.f) dir = destDir;
else if(tmp < 0) {
dir += deltaTime/2.f;
if(dir > M_PI) dir = -2*M_PI+dir;
}
else {
dir -= deltaTime/2.f;
if(dir < -M_PI) dir = 2*M_PI+dir;
}
if(!floatCompare(position.x, destPosition.x, 0.01f) || !floatCompare(position.y, destPosition.y, 0.01f)) {
float dir = atan2(destPosition.y-position.y, destPosition.x-position.x);
float dir_cos = cos(dir);
float dir_sin = sin(dir);
if(fabs(position.x-destPosition.x) <= deltaTime*speed*dir_cos)
position.x = destPosition.x;
else {
position.x += deltaTime*speed*dir_cos;
}
if(fabs(position.y-destPosition.y) <= deltaTime*speed*dir_sin)
position.y = destPosition.y;
else {
position.y += deltaTime*speed*dir_sin;
}
}
}
//-------------------------------------------------------------------------------------------------------------------
Real fVector2::normalize(void)
{
Real len = sqrt(x*x+y*y);
if(floatCompare(len, 0)<=0) return 0.0;
Real inv_len = 1.0f/len;
x *= inv_len;
y *= inv_len;
return len;
}
void SGMXASScanConfiguration2013::checkIfMatchesBeamline()
{
bool currentMatchStatus;
//Ensure bl is connected AND fluxResolutionGroup/TrackingGroup have been properly initialized
if(SGMBeamline::sgm()->isConnected() && fluxResolutionGroup().count() > 0 && trackingGroup().count() > 0)
{
currentMatchStatus =
(floatCompare(dbObject()->exitSlitGap() + 1.0e-200, SGMBeamline::sgm()->exitSlitGap()->value() + 1.0e-200, 0.20) &&
floatCompare(dbObject()->grating() + 1.0e-200, SGMBeamline::sgm()->grating()->value() + 1.0e-200, 0.0001) &&
floatCompare(dbObject()->harmonic() + 1.0e-200, SGMBeamline::sgm()->harmonic()->value() + 1.0e-200, 0.001) &&
floatCompare(dbObject()->undulatorTracking() + 1.0e-200, SGMBeamline::sgm()->undulatorTracking()->value() + 1.0e-200, 0.001) &&
floatCompare(dbObject()->monoTracking() + 1.0e-200, SGMBeamline::sgm()->monoTracking()->value() + 1.0e-200, 0.001) &&
floatCompare(dbObject()->exitSlitTracking() + 1.0e-200, SGMBeamline::sgm()->exitSlitTracking()->value() + 1.0e-200, 0.001));
}
else
{
currentMatchStatus = false;
}
if(currentMatchStatus != this->matchesCurrentBeamline_)
{
matchesCurrentBeamline_ = currentMatchStatus;
emit matchingBeamlineStatusChanged(currentMatchStatus);
}
}
void generateRelease(const string & vcf_filename, const string & output_prefix, const float min_called_probability) {
cout << "[" << Utils::getLocalTime() << "] Running BayesTyperUtils (" << BTU_VERSION << ") generateRelease ...\n" << endl;
GenotypedVcfFileReader vcf_reader(vcf_filename, true);
assert(vcf_reader.metaData().miscMeta().erase("CommandLine"));
assert(vcf_reader.metaData().infoDescriptors().erase("AE"));
assert(vcf_reader.metaData().infoDescriptors().erase("ANC"));
assert(vcf_reader.metaData().infoDescriptors().erase("HCR"));
assert(vcf_reader.metaData().infoDescriptors().erase("HRS"));
assert(vcf_reader.metaData().infoDescriptors().erase("VCGI"));
assert(vcf_reader.metaData().infoDescriptors().erase("VCGS"));
assert(vcf_reader.metaData().infoDescriptors().erase("VCI"));
assert(vcf_reader.metaData().infoDescriptors().erase("VCS"));
assert(vcf_reader.metaData().infoDescriptors().erase("VT"));
auto complete_meta_data = vcf_reader.metaData();
assert(complete_meta_data.infoDescriptors().emplace("AT", Attribute::DetailedDescriptor("AT", Attribute::Number::A, Attribute::Type::String, "Allele type")).second);
string lvq_label("LVQ");
assert(complete_meta_data.filterDescriptors().emplace(lvq_label, Attribute::Descriptor(lvq_label, "All alternative alleles excluding missing have low allele call probability (ACP < " + to_string(min_called_probability) + ")")).second);
string nc_label("NC");
assert(complete_meta_data.filterDescriptors().emplace(nc_label, Attribute::Descriptor(nc_label, "All alternative alleles excluding missing are not called (ACP == 0)")).second);
VcfMetaData called_file_meta_data = complete_meta_data;
called_file_meta_data.filterDescriptors().clear();
called_file_meta_data.clearSamples();
assert(called_file_meta_data.infoDescriptors().erase("ACP"));
assert(called_file_meta_data.infoDescriptors().erase("ACO"));
called_file_meta_data.infoDescriptors().erase("AsmVar_ASQR");
called_file_meta_data.infoDescriptors().erase("DNE");
called_file_meta_data.infoDescriptors().erase("RMA");
VcfMetaData de_novo_file_meta_data = complete_meta_data;
de_novo_file_meta_data.filterDescriptors().clear();
VcfFileWriter vcf_writer_complete(output_prefix + "_complete.vcf", complete_meta_data, true);
VcfFileWriter vcf_writer_called(output_prefix + "_called_alleles.vcf", called_file_meta_data, true);
VcfFileWriter vcf_writer_de_novo(output_prefix + "_de_novo.vcf", de_novo_file_meta_data, true);
Variant * cur_var;
uint num_variants = 0;
uint num_alleles = 0;
uint num_low_prob_variants = 0;
uint num_filt_variants = 0;
uint num_missing_alleles = 0;
uint num_not_called_variants = 0;
uint num_low_prob_alleles = 0;
uint num_de_novo_events = 0;
uint num_de_novo_multiple_events = 0;
assert(min_called_probability > 0);
assert(min_called_probability <= 1);
while (vcf_reader.getNextVariant(&cur_var)) {
num_variants++;
num_alleles += cur_var->numAlls();
assert(cur_var->filters().size() == 1);
// Label alleles
vector<uint> alt_rm_idxs;
alt_rm_idxs.reserve(cur_var->numAlts());
float alt_acp_max = 0;
for (uint allele_idx = 0; allele_idx < cur_var->numAlls(); allele_idx++) {
assert(cur_var->info().hasValue("AN"));
auto acp_value = cur_var->allele(allele_idx).info().getValue<float>("ACP");
assert(acp_value.second);
if (allele_idx > 0) {
assert(cur_var->allele(allele_idx).info().hasValue("AC"));
assert(cur_var->allele(allele_idx).info().hasValue("AF"));
assert(cur_var->allele(allele_idx).info().hasValue("ACO"));
assert(cur_var->allele(allele_idx).info().hasValue("AAI"));
auto at = Auxiliaries::alleleAttributes(cur_var->allele(allele_idx), cur_var->ref());
auto rma_value = cur_var->allele(allele_idx).info().getValue<string>("RMA");
if (rma_value.second) {
assert((rma_value.first == ".") or (at.type == Auxiliaries::Type::Insertion) or (at.type == Auxiliaries::Type::Deletion));
}
assert(cur_var->allele(allele_idx).info().setValue("AT", at.typeStr()));
if (cur_var->allele(allele_idx).isMissing()) {
alt_rm_idxs.push_back(allele_idx - 1);
num_missing_alleles++;
continue;
}
alt_acp_max = max(alt_acp_max, acp_value.first);
if (acp_value.first < min_called_probability) {
alt_rm_idxs.push_back(allele_idx - 1);
num_low_prob_alleles++;
}
}
}
if (cur_var->filters().front() == "PASS") {
auto var_qual = cur_var->qual();
assert(var_qual.second);
auto var_call_prob = 1 - pow(10, -1 * var_qual.first/10);
assert((var_call_prob == alt_acp_max) or (abs(var_call_prob - alt_acp_max) < pow(10, -3)));
if (floatCompare(alt_acp_max, 0)) {
assert(alt_rm_idxs.size() == cur_var->numAlts());
cur_var->setFilters({nc_label});
num_not_called_variants++;
} else if (alt_acp_max < min_called_probability) {
assert(alt_rm_idxs.size() == cur_var->numAlts());
cur_var->setFilters({lvq_label});
num_low_prob_variants++;
} else {
assert(alt_rm_idxs.size() < cur_var->numAlts());
}
} else {
num_filt_variants++;
}
vcf_writer_complete.write(cur_var);
auto dne_att = cur_var->info().getValue<string>("DNE");
if (dne_att.second) {
assert(cur_var->filters().front() == "PASS");
if (dne_att.first.find(",") == string::npos) {
num_de_novo_events++;
} else {
num_de_novo_multiple_events++;
}
vcf_writer_de_novo.write(cur_var);
}
if (cur_var->filters().front() == "PASS") {
assert(alt_rm_idxs.size() < cur_var->numAlts());
int alt_rm_ac = 0;
for (auto & alt_rm_idx: alt_rm_idxs) {
auto ac_value = cur_var->alt(alt_rm_idx).info().getValue<int>("AC");
assert(ac_value.second);
alt_rm_ac += ac_value.first;
}
cur_var->clearSamples();
cur_var->removeAlts(alt_rm_idxs);
auto an_value = cur_var->info().getValue<int>("AN");
assert(an_value.second);
assert(an_value.first >= alt_rm_ac);
if (alt_rm_ac > 0) {
assert(!cur_var->info().setValue<int>("AN", an_value.first - alt_rm_ac));
assert(cur_var->numAlts() > 0);
for (uint alt_idx = 0; alt_idx < cur_var->numAlts(); alt_idx++) {
if (an_value.first == alt_rm_ac) {
assert(!cur_var->alt(alt_idx).info().setValue<float>("AF", 0));
} else {
auto ac_value = cur_var->alt(alt_idx).info().getValue<int>("AC");
assert(ac_value.second);
assert(!cur_var->alt(alt_idx).info().setValue<float>("AF", ac_value.first / static_cast<float>(an_value.first - alt_rm_ac)));
}
}
}
vcf_writer_called.write(cur_var);
}
delete cur_var;
if ((num_variants % 100000) == 0) {
std::cout << "[" << Utils::getLocalTime() << "] Parsed " << num_variants << " variants" << endl;
}
}
cout << "\n[" << Utils::getLocalTime() << "] Parsed " << num_variants << " variants and " << num_alleles << " alleles (including reference and missing)\n" << endl;
cout << "\t\t - " << num_filt_variants << " variant(s) were already labelled as filtered (UV or ISD)" << endl;
cout << "\t\t - " << num_not_called_variants << " variant(s) were labelled as not called (NC)" << endl;
cout << "\t\t - " << num_low_prob_variants << " variant(s) were labelled as low variant quality (LVQ)\n" << endl;
cout << "\t\t - " << num_missing_alleles << " missing alleles(s)" << endl;
cout << "\t\t - " << num_low_prob_alleles << " alleles(s) had probability below threshold\n" << endl;
cout << "\t\t - " << num_de_novo_events << " de novo events" << endl;
cout << "\t\t - " << num_de_novo_multiple_events << " multi de novo events" << endl;
cout << endl;
}