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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
bug #1004: improve accuracy of LinSpaced for abs(low) >> abs(high).
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@@ -33,10 +33,38 @@ bool equalsIdentity(const MatrixType& A)
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}
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template<typename VectorType>
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void check_extremity_accuracy(const VectorType &v, const typename VectorType::Scalar &low, const typename VectorType::Scalar &high)
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{
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typedef typename VectorType::Scalar Scalar;
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typedef typename VectorType::RealScalar RealScalar;
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RealScalar prec = internal::is_same<RealScalar,float>::value ? NumTraits<RealScalar>::dummy_precision()*10 : NumTraits<RealScalar>::dummy_precision()/10;
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Index size = v.size();
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if(size<20)
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return;
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for (int i=0; i<size; ++i)
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{
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if(i<5 || i>size-6)
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{
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Scalar ref = (low*RealScalar(size-i-1))/RealScalar(size-1) + (high*RealScalar(i))/RealScalar(size-1);
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if(std::abs(ref)>1)
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{
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if(!internal::isApprox(v(i), ref, prec))
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std::cout << v(i) << " != " << ref << " ; relative error: " << std::abs((v(i)-ref)/ref) << " ; required precision: " << prec << " ; range: " << low << "," << high << " ; i: " << i << "\n";
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VERIFY(internal::isApprox(v(i), (low*RealScalar(size-i-1))/RealScalar(size-1) + (high*RealScalar(i))/RealScalar(size-1), prec));
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}
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}
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}
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}
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template<typename VectorType>
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void testVectorType(const VectorType& base)
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{
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typedef typename VectorType::Scalar Scalar;
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typedef typename VectorType::RealScalar RealScalar;
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const Index size = base.size();
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@@ -47,6 +75,9 @@ void testVectorType(const VectorType& base)
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// check low==high
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if(internal::random<float>(0.f,1.f)<0.05f)
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low = high;
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// check abs(low) >> abs(high)
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else if(size>2 && std::numeric_limits<RealScalar>::max_exponent10>0 && internal::random<float>(0.f,1.f)<0.1f)
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low = -internal::random<Scalar>(1,2) * RealScalar(std::pow(RealScalar(10),std::numeric_limits<RealScalar>::max_exponent10/2));
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const Scalar step = ((size == 1) ? 1 : (high-low)/(size-1));
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@@ -60,6 +91,8 @@ void testVectorType(const VectorType& base)
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for (int i=0; i<size; ++i)
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n(i) = low+i*step;
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VERIFY_IS_APPROX(m,n);
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CALL_SUBTEST( check_extremity_accuracy(m, low, high) );
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}
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if((!NumTraits<Scalar>::IsInteger) || ((high-low)>=size && (Index(high-low)%(size-1))==0) || (Index(high-low+1)<size && (size%Index(high-low+1))==0))
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@@ -79,6 +112,8 @@ void testVectorType(const VectorType& base)
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VERIFY( internal::isApprox(m(m.size()-1),high) );
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VERIFY( size==1 || internal::isApprox(m(0),low) );
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VERIFY_IS_EQUAL(m(m.size()-1) , high);
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if(!NumTraits<Scalar>::IsInteger)
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CALL_SUBTEST( check_extremity_accuracy(m, low, high) );
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}
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VERIFY( m(m.size()-1) <= high );
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@@ -154,10 +189,10 @@ void test_nullary()
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CALL_SUBTEST_3( testMatrixType(MatrixXf(internal::random<int>(1,300),internal::random<int>(1,300))) );
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for(int i = 0; i < g_repeat*10; i++) {
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CALL_SUBTEST_4( testVectorType(VectorXd(internal::random<int>(1,300))) );
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CALL_SUBTEST_4( testVectorType(VectorXd(internal::random<int>(1,30000))) );
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CALL_SUBTEST_5( testVectorType(Vector4d()) ); // regression test for bug 232
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CALL_SUBTEST_6( testVectorType(Vector3d()) );
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CALL_SUBTEST_7( testVectorType(VectorXf(internal::random<int>(1,300))) );
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CALL_SUBTEST_7( testVectorType(VectorXf(internal::random<int>(1,30000))) );
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CALL_SUBTEST_8( testVectorType(Vector3f()) );
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CALL_SUBTEST_8( testVectorType(Vector4f()) );
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CALL_SUBTEST_8( testVectorType(Matrix<float,8,1>()) );
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