Fix doxy and misc. typos

Found via `codespell -q 3 -I ../eigen-word-whitelist.txt`
---
 Eigen/src/Core/ProductEvaluators.h |  4 ++--
 Eigen/src/Core/arch/GPU/Half.h     |  2 +-
 Eigen/src/Core/util/Memory.h       |  2 +-
 Eigen/src/Geometry/Hyperplane.h    |  2 +-
 Eigen/src/Geometry/Transform.h     |  2 +-
 Eigen/src/Geometry/Translation.h   | 12 ++++++------
 doc/PreprocessorDirectives.dox     |  2 +-
 doc/TutorialGeometry.dox           |  2 +-
 test/boostmultiprec.cpp            |  2 +-
 test/triangular.cpp                |  2 +-
 10 files changed, 16 insertions(+), 16 deletions(-)
This commit is contained in:
luz.paz" 2018-08-01 21:34:47 -04:00
parent 2cbd9dd498
commit 43fd42a33b
10 changed files with 16 additions and 16 deletions

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@ -20,7 +20,7 @@ namespace internal {
/** \internal
* Evaluator of a product expression.
* Since products require special treatments to handle all possible cases,
* we simply deffer the evaluation logic to a product_evaluator class
* we simply defer the evaluation logic to a product_evaluator class
* which offers more partial specialization possibilities.
*
* \sa class product_evaluator
@ -128,7 +128,7 @@ protected:
PlainObject m_result;
};
// The following three shortcuts are enabled only if the scalar types match excatly.
// The following three shortcuts are enabled only if the scalar types match exactly.
// TODO: we could enable them for different scalar types when the product is not vectorized.
// Dense = Product

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@ -60,7 +60,7 @@ struct __half_raw {
#if defined(EIGEN_HAS_OLD_HIP_FP16)
// Make a __half_raw definition that is
// ++ compatible with that of Eigen and
// ++ add a implcit conversion to the native __half of the old HIP implementation.
// ++ add an implicit conversion to the native __half of the old HIP implementation.
//
// Keeping ".x" as "unsigned short" keeps the interface the same between the Eigen and HIP implementation.
//

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@ -177,7 +177,7 @@ EIGEN_DEVICE_FUNC inline void* aligned_malloc(std::size_t size)
#endif
#if EIGEN_DEFAULT_ALIGN_BYTES==16
eigen_assert((size<16 || (std::size_t(result)%16)==0) && "System's malloc returned an unaligned pointer. Compile with EIGEN_MALLOC_ALREADY_ALIGNED=0 to fallback to handmade alignd memory allocator.");
eigen_assert((size<16 || (std::size_t(result)%16)==0) && "System's malloc returned an unaligned pointer. Compile with EIGEN_MALLOC_ALREADY_ALIGNED=0 to fallback to handmade aligned memory allocator.");
#endif
#else
result = handmade_aligned_malloc(size);

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@ -119,7 +119,7 @@ public:
* If the dimension of the ambient space is greater than 2, then there isn't uniqueness,
* so an arbitrary choice is made.
*/
// FIXME to be consitent with the rest this could be implemented as a static Through function ??
// FIXME to be consistent with the rest this could be implemented as a static Through function ??
EIGEN_DEVICE_FUNC explicit Hyperplane(const ParametrizedLine<Scalar, AmbientDimAtCompileTime>& parametrized)
{
normal() = parametrized.direction().unitOrthogonal();

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@ -115,7 +115,7 @@ template<int Mode> struct transform_make_affine;
* \end{array} \right) \f$
*
* Note that for a projective transformation the last row can be anything,
* and then the interpretation of different parts might be sightly different.
* and then the interpretation of different parts might be slightly different.
*
* However, unlike a plain matrix, the Transform class provides many features
* simplifying both its assembly and usage. In particular, it can be composed

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@ -70,18 +70,18 @@ public:
/** Constructs and initialize the translation transformation from a vector of translation coefficients */
EIGEN_DEVICE_FUNC explicit inline Translation(const VectorType& vector) : m_coeffs(vector) {}
/** \brief Retruns the x-translation by value. **/
/** \brief Returns the x-translation by value. **/
EIGEN_DEVICE_FUNC inline Scalar x() const { return m_coeffs.x(); }
/** \brief Retruns the y-translation by value. **/
/** \brief Returns the y-translation by value. **/
EIGEN_DEVICE_FUNC inline Scalar y() const { return m_coeffs.y(); }
/** \brief Retruns the z-translation by value. **/
/** \brief Returns the z-translation by value. **/
EIGEN_DEVICE_FUNC inline Scalar z() const { return m_coeffs.z(); }
/** \brief Retruns the x-translation as a reference. **/
/** \brief Returns the x-translation as a reference. **/
EIGEN_DEVICE_FUNC inline Scalar& x() { return m_coeffs.x(); }
/** \brief Retruns the y-translation as a reference. **/
/** \brief Returns the y-translation as a reference. **/
EIGEN_DEVICE_FUNC inline Scalar& y() { return m_coeffs.y(); }
/** \brief Retruns the z-translation as a reference. **/
/** \brief Returns the z-translation as a reference. **/
EIGEN_DEVICE_FUNC inline Scalar& z() { return m_coeffs.z(); }
EIGEN_DEVICE_FUNC const VectorType& vector() const { return m_coeffs; }

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@ -66,7 +66,7 @@ functions by defining EIGEN_HAS_C99_MATH=1.
Automatic detection disabled if EIGEN_MAX_CPP_VER<11.
- \b EIGEN_HAS_CXX11_MATH - controls the implementation of some functions such as round, logp1, isinf, isnan, etc.
Automatic detection disabled if EIGEN_MAX_CPP_VER<11.
- \b EIGEN_HAS_RVALUE_REFERENCES - defines whetehr rvalue references are supported
- \b EIGEN_HAS_RVALUE_REFERENCES - defines whether rvalue references are supported
Automatic detection disabled if EIGEN_MAX_CPP_VER<11.
- \b EIGEN_HAS_STD_RESULT_OF - defines whether std::result_of is supported
Automatic detection disabled if EIGEN_MAX_CPP_VER<11.

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@ -111,7 +111,7 @@ rot3 = rot1.slerp(alpha,rot2);\endcode</td></tr>
<a href="#" class="top">top</a>\section TutorialGeoTransform Affine transformations
Generic affine transformations are represented by the Transform class which internaly
Generic affine transformations are represented by the Transform class which internally
is a (Dim+1)^2 matrix. In Eigen we have chosen to not distinghish between points and
vectors such that all points are actually represented by displacement vectors from the
origin ( \f$ \mathbf{p} \equiv \mathbf{p}-0 \f$ ). With that in mind, real points and

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@ -156,7 +156,7 @@ EIGEN_DECLARE_TEST(boostmultiprec)
std::cout << "NumTraits<Real>::highest() = " << NumTraits<Real>::highest() << std::endl;
std::cout << "NumTraits<Real>::digits10() = " << NumTraits<Real>::digits10() << std::endl;
// chekc stream output
// check stream output
{
Mat A(10,10);
A.setRandom();

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@ -68,7 +68,7 @@ template<typename MatrixType> void triangular_square(const MatrixType& m)
while (numext::abs2(m1(i,i))<RealScalar(1e-1)) m1(i,i) = internal::random<Scalar>();
Transpose<MatrixType> trm4(m4);
// test back and forward subsitution with a vector as the rhs
// test back and forward substitution with a vector as the rhs
m3 = m1.template triangularView<Upper>();
VERIFY(v2.isApprox(m3.adjoint() * (m1.adjoint().template triangularView<Lower>().solve(v2)), largerEps));
m3 = m1.template triangularView<Lower>();