diff options
author | Gael Guennebaud <g.gael@free.fr> | 2019-02-18 22:03:47 +0100 |
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committer | Gael Guennebaud <g.gael@free.fr> | 2019-02-18 22:03:47 +0100 |
commit | e23bf40dc24132f74745ccf4439efcc770daadd3 (patch) | |
tree | 601d26628a3cb80388d632595ee5cf47087e4e92 /test | |
parent | 796db94e6e82548a7594c00b4ae83efbe76baffc (diff) |
Add unit test for LinSpaced and complex numbers.
Diffstat (limited to 'test')
-rw-r--r-- | test/nullary.cpp | 38 |
1 files changed, 20 insertions, 18 deletions
diff --git a/test/nullary.cpp b/test/nullary.cpp index 1df3693d6..9b25ea4f3 100644 --- a/test/nullary.cpp +++ b/test/nullary.cpp @@ -70,7 +70,7 @@ void testVectorType(const VectorType& base) Scalar high = internal::random<Scalar>(-500,500); Scalar low = (size == 1 ? high : internal::random<Scalar>(-500,500)); - if (low>high) std::swap(low,high); + if (numext::real(low)>numext::real(high)) std::swap(low,high); // check low==high if(internal::random<float>(0.f,1.f)<0.05f) @@ -79,7 +79,7 @@ void testVectorType(const VectorType& base) else if(size>2 && std::numeric_limits<RealScalar>::max_exponent10>0 && internal::random<float>(0.f,1.f)<0.1f) low = -internal::random<Scalar>(1,2) * RealScalar(std::pow(RealScalar(10),std::numeric_limits<RealScalar>::max_exponent10/2)); - const Scalar step = ((size == 1) ? 1 : (high-low)/(size-1)); + const Scalar step = ((size == 1) ? 1 : (high-low)/RealScalar(size-1)); // check whether the result yields what we expect it to do VectorType m(base); @@ -89,21 +89,22 @@ void testVectorType(const VectorType& base) { VectorType n(size); for (int i=0; i<size; ++i) - n(i) = low+i*step; + n(i) = low+RealScalar(i)*step; VERIFY_IS_APPROX(m,n); CALL_SUBTEST( check_extremity_accuracy(m, low, high) ); } - if((!NumTraits<Scalar>::IsInteger) || ((high-low)>=size && (Index(high-low)%(size-1))==0) || (Index(high-low+1)<size && (size%Index(high-low+1))==0)) + RealScalar range_length = numext::real(high-low); + if((!NumTraits<Scalar>::IsInteger) || (range_length>=size && (Index(range_length)%(size-1))==0) || (Index(range_length+1)<size && (size%Index(range_length+1))==0)) { VectorType n(size); - if((!NumTraits<Scalar>::IsInteger) || (high-low>=size)) + if((!NumTraits<Scalar>::IsInteger) || (range_length>=size)) for (int i=0; i<size; ++i) - n(i) = size==1 ? low : (low + ((high-low)*Scalar(i))/(size-1)); + n(i) = size==1 ? low : (low + ((high-low)*Scalar(i))/RealScalar(size-1)); else for (int i=0; i<size; ++i) - n(i) = size==1 ? low : low + Scalar((double(high-low+1)*double(i))/double(size)); + n(i) = size==1 ? low : low + Scalar((double(range_length+1)*double(i))/double(size)); VERIFY_IS_APPROX(m,n); // random access version @@ -116,12 +117,12 @@ void testVectorType(const VectorType& base) CALL_SUBTEST( check_extremity_accuracy(m, low, high) ); } - VERIFY( m(m.size()-1) <= high ); - VERIFY( (m.array() <= high).all() ); - VERIFY( (m.array() >= low).all() ); + VERIFY( numext::real(m(m.size()-1)) <= numext::real(high) ); + VERIFY( (m.array().real() <= numext::real(high)).all() ); + VERIFY( (m.array().real() >= numext::real(low)).all() ); - VERIFY( m(m.size()-1) >= low ); + VERIFY( numext::real(m(m.size()-1)) >= numext::real(low) ); if(size>=1) { VERIFY( internal::isApprox(m(0),low) ); @@ -135,7 +136,7 @@ void testVectorType(const VectorType& base) col_vector.setLinSpaced(size,low,high); // when using the extended precision (e.g., FPU) the relative error might exceed 1 bit // when computing the squared sum in isApprox, thus the 2x factor. - VERIFY( row_vector.isApprox(col_vector.transpose(), Scalar(2)*NumTraits<Scalar>::epsilon())); + VERIFY( row_vector.isApprox(col_vector.transpose(), RealScalar(2)*NumTraits<Scalar>::epsilon())); Matrix<Scalar,Dynamic,1> size_changer(size+50); size_changer.setLinSpaced(size,low,high); @@ -157,18 +158,18 @@ void testVectorType(const VectorType& base) { Index n0 = VectorType::SizeAtCompileTime==Dynamic ? 0 : VectorType::SizeAtCompileTime; low = internal::random<Scalar>(); - m = VectorType::LinSpaced(n0,low,low-1); + m = VectorType::LinSpaced(n0,low,low-RealScalar(1)); VERIFY(m.size()==n0); if(VectorType::SizeAtCompileTime==Dynamic) { VERIFY_IS_EQUAL(VectorType::LinSpaced(n0,0,Scalar(n0-1)).sum(),Scalar(0)); - VERIFY_IS_EQUAL(VectorType::LinSpaced(n0,low,low-1).sum(),Scalar(0)); + VERIFY_IS_EQUAL(VectorType::LinSpaced(n0,low,low-RealScalar(1)).sum(),Scalar(0)); } m.setLinSpaced(n0,0,Scalar(n0-1)); VERIFY(m.size()==n0); - m.setLinSpaced(n0,low,low-1); + m.setLinSpaced(n0,low,low-RealScalar(1)); VERIFY(m.size()==n0); // empty range only: @@ -178,16 +179,16 @@ void testVectorType(const VectorType& base) if(NumTraits<Scalar>::IsInteger) { - VERIFY_IS_APPROX( VectorType::LinSpaced(size,low,Scalar(low+size-1)), VectorType::LinSpaced(size,Scalar(low+size-1),low).reverse() ); + VERIFY_IS_APPROX( VectorType::LinSpaced(size,low,low+Scalar(size-1)), VectorType::LinSpaced(size,low+Scalar(size-1),low).reverse() ); if(VectorType::SizeAtCompileTime==Dynamic) { // Check negative multiplicator path: for(Index k=1; k<5; ++k) - VERIFY_IS_APPROX( VectorType::LinSpaced(size,low,Scalar(low+(size-1)*k)), VectorType::LinSpaced(size,Scalar(low+(size-1)*k),low).reverse() ); + VERIFY_IS_APPROX( VectorType::LinSpaced(size,low,low+Scalar((size-1)*k)), VectorType::LinSpaced(size,low+Scalar((size-1)*k),low).reverse() ); // Check negative divisor path: for(Index k=1; k<5; ++k) - VERIFY_IS_APPROX( VectorType::LinSpaced(size*k,low,Scalar(low+size-1)), VectorType::LinSpaced(size*k,Scalar(low+size-1),low).reverse() ); + VERIFY_IS_APPROX( VectorType::LinSpaced(size*k,low,low+Scalar(size-1)), VectorType::LinSpaced(size*k,low+Scalar(size-1),low).reverse() ); } } } @@ -318,6 +319,7 @@ EIGEN_DECLARE_TEST(nullary) CALL_SUBTEST_3( testMatrixType(MatrixXf(internal::random<int>(1,300),internal::random<int>(1,300))) ); for(int i = 0; i < g_repeat*10; i++) { + CALL_SUBTEST_3( testVectorType(VectorXcd(internal::random<int>(1,30000))) ); CALL_SUBTEST_4( testVectorType(VectorXd(internal::random<int>(1,30000))) ); CALL_SUBTEST_5( testVectorType(Vector4d()) ); // regression test for bug 232 CALL_SUBTEST_6( testVectorType(Vector3d()) ); |