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Fix clang warning -Wabsolute-value (#4616)

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This commit is contained in:
Eisuke Kawashima
2021-10-17 14:44:34 +09:00
committed by GitHub
parent 4f623404bd
commit f18a601454
2 changed files with 5 additions and 5 deletions
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4
Code/GraphMol/FileParsers/testGeneralFileReader.cpp
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@@ -182,7 +182,7 @@ void testMae() {
TEST_ASSERT(nmol->hasProp("s_m_entry_name"));
TEST_ASSERT(nmol->getProp<std::string>("s_m_entry_name") == "NCI_aids_few.1");
TEST_ASSERT(nmol->hasProp("r_f3d_dummy"));
TEST_ASSERT(abs(nmol->getProp<double>("r_f3d_dummy") - 42.123) < 0.0001);
TEST_ASSERT(std::abs(nmol->getProp<double>("r_f3d_dummy") - 42.123) < 0.0001);
//! Test atom properties
TEST_ASSERT(nmol->getNumAtoms() == 19);
@@ -204,7 +204,7 @@ void testMae() {
//! The real property is only defined for i >= 10
if (i >= 10) {
TEST_ASSERT(atom->hasProp("r_f3d_dummy"));
TEST_ASSERT(abs(atom->getProp<double>("r_f3d_dummy") - (19.1 - i)) <
TEST_ASSERT(std::abs(atom->getProp<double>("r_f3d_dummy") - (19.1 - i)) <
0.0001);
} else {
TEST_ASSERT(!atom->hasProp("r_f3d_dummy"));

6
External/GA/ga/LinkedPopLinearSel.h vendored
View File

@@ -138,7 +138,7 @@ LinkedPopLinearSel<Chromosome, PopulationPolicy>::LinkedPopLinearSel(
<< " predictTotalScaledFitness "
<< predictTotalScaledFitness;
#endif
assert(abs(totalScaledFitness - predictTotalScaledFitness) < 1.0e-5);
assert(std::abs(totalScaledFitness - predictTotalScaledFitness) < 1.0e-5);
double predictEndFitness = SELECT_START + (popsize - 1.0) * scaledFitnessStep;
(void)predictEndFitness; // suppress warnings when building with
@@ -147,7 +147,7 @@ LinkedPopLinearSel<Chromosome, PopulationPolicy>::LinkedPopLinearSel(
REPORT(Reporter::TRACE) << "endFitness " << endFitness
<< " predictEndFitness " << predictEndFitness;
#endif
assert(abs(endFitness - predictEndFitness) < 1.0e-10);
assert(std::abs(endFitness - predictEndFitness) < 1.0e-10);
freeChromosomes.reserve(10);
}
@@ -206,7 +206,7 @@ LinkedPopLinearSel<Chromosome, PopulationPolicy>::selectParent() {
++iterator;
}
// may get here because of numeric errors
assert(abs(sum - totalScaledFitness) < (0.000001 * scaledFitnessStep));
assert(std::abs(sum - totalScaledFitness) < (0.000001 * scaledFitnessStep));
iterator = population.end();
--iterator;
return iterator->second;