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bug #86 : use internal:: namespace instead of ei_ prefix

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This commit is contained in:
Benoit Jacob
2010-10-25 10:15:22 -04:00
parent ca85a1f6c5
commit 4716040703
330 changed files with 7615 additions and 7032 deletions
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38
test/redux.cpp
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@@ -37,28 +37,28 @@ template<typename MatrixType> void matrixRedux(const MatrixType& m)
VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows, cols).sum(), Scalar(1));
VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(float(rows*cols))); // the float() here to shut up excessive MSVC warning about int->complex conversion being lossy
Scalar s(0), p(1), minc(ei_real(m1.coeff(0))), maxc(ei_real(m1.coeff(0)));
Scalar s(0), p(1), minc(internal::real(m1.coeff(0))), maxc(internal::real(m1.coeff(0)));
for(int j = 0; j < cols; j++)
for(int i = 0; i < rows; i++)
{
s += m1(i,j);
p *= m1(i,j);
minc = std::min(ei_real(minc), ei_real(m1(i,j)));
maxc = std::max(ei_real(maxc), ei_real(m1(i,j)));
minc = std::min(internal::real(minc), internal::real(m1(i,j)));
maxc = std::max(internal::real(maxc), internal::real(m1(i,j)));
}
const Scalar mean = s/Scalar(RealScalar(rows*cols));
VERIFY_IS_APPROX(m1.sum(), s);
VERIFY_IS_APPROX(m1.mean(), mean);
VERIFY_IS_APPROX(m1.prod(), p);
VERIFY_IS_APPROX(m1.real().minCoeff(), ei_real(minc));
VERIFY_IS_APPROX(m1.real().maxCoeff(), ei_real(maxc));
VERIFY_IS_APPROX(m1.real().minCoeff(), internal::real(minc));
VERIFY_IS_APPROX(m1.real().maxCoeff(), internal::real(maxc));
// test slice vectorization assuming assign is ok
Index r0 = ei_random<Index>(0,rows-1);
Index c0 = ei_random<Index>(0,cols-1);
Index r1 = ei_random<Index>(r0+1,rows)-r0;
Index c1 = ei_random<Index>(c0+1,cols)-c0;
Index r0 = internal::random<Index>(0,rows-1);
Index c0 = internal::random<Index>(0,cols-1);
Index r1 = internal::random<Index>(r0+1,rows)-r0;
Index c1 = internal::random<Index>(c0+1,cols)-c0;
VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).sum(), m1.block(r0,c0,r1,c1).eval().sum());
VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).mean(), m1.block(r0,c0,r1,c1).eval().mean());
VERIFY_IS_APPROX(m1.block(r0,c0,r1,c1).prod(), m1.block(r0,c0,r1,c1).eval().prod());
@@ -81,13 +81,13 @@ template<typename VectorType> void vectorRedux(const VectorType& w)
for(int i = 1; i < size; i++)
{
Scalar s(0), p(1);
RealScalar minc(ei_real(v.coeff(0))), maxc(ei_real(v.coeff(0)));
RealScalar minc(internal::real(v.coeff(0))), maxc(internal::real(v.coeff(0)));
for(int j = 0; j < i; j++)
{
s += v[j];
p *= v[j];
minc = std::min(minc, ei_real(v[j]));
maxc = std::max(maxc, ei_real(v[j]));
minc = std::min(minc, internal::real(v[j]));
maxc = std::max(maxc, internal::real(v[j]));
}
VERIFY_IS_APPROX(s, v.head(i).sum());
VERIFY_IS_APPROX(p, v.head(i).prod());
@@ -98,15 +98,15 @@ template<typename VectorType> void vectorRedux(const VectorType& w)
for(int i = 0; i < size-1; i++)
{
Scalar s(0), p(1);
RealScalar minc(ei_real(v.coeff(i))), maxc(ei_real(v.coeff(i)));
RealScalar minc(internal::real(v.coeff(i))), maxc(internal::real(v.coeff(i)));
for(int j = i; j < size; j++)
{
s += v[j];
p *= v[j];
minc = std::min(minc, ei_real(v[j]));
maxc = std::max(maxc, ei_real(v[j]));
minc = std::min(minc, internal::real(v[j]));
maxc = std::max(maxc, internal::real(v[j]));
}
VERIFY_IS_MUCH_SMALLER_THAN(ei_abs(s - v.tail(size-i).sum()), Scalar(1));
VERIFY_IS_MUCH_SMALLER_THAN(internal::abs(s - v.tail(size-i).sum()), Scalar(1));
VERIFY_IS_APPROX(p, v.tail(size-i).prod());
VERIFY_IS_APPROX(minc, v.real().tail(size-i).minCoeff());
VERIFY_IS_APPROX(maxc, v.real().tail(size-i).maxCoeff());
@@ -115,13 +115,13 @@ template<typename VectorType> void vectorRedux(const VectorType& w)
for(int i = 0; i < size/2; i++)
{
Scalar s(0), p(1);
RealScalar minc(ei_real(v.coeff(i))), maxc(ei_real(v.coeff(i)));
RealScalar minc(internal::real(v.coeff(i))), maxc(internal::real(v.coeff(i)));
for(int j = i; j < size-i; j++)
{
s += v[j];
p *= v[j];
minc = std::min(minc, ei_real(v[j]));
maxc = std::max(maxc, ei_real(v[j]));
minc = std::min(minc, internal::real(v[j]));
maxc = std::max(maxc, internal::real(v[j]));
}
VERIFY_IS_APPROX(s, v.segment(i, size-2*i).sum());
VERIFY_IS_APPROX(p, v.segment(i, size-2*i).prod());