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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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113
Eigen/src/Core/util/ForwardDeclarations.h
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@@ -26,19 +26,22 @@
#ifndef EIGEN_FORWARDDECLARATIONS_H
#define EIGEN_FORWARDDECLARATIONS_H
template<typename T> struct ei_traits;
template<typename T> struct NumTraits;
namespace internal {
template<typename T> struct traits;
template<typename Derived> struct ei_has_direct_access
template<typename Derived> struct has_direct_access
{
enum { ret = (ei_traits<Derived>::Flags & DirectAccessBit) ? 1 : 0 };
enum { ret = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0 };
};
} // end namespace internal
template<typename T> struct NumTraits;
template<typename Derived> struct EigenBase;
template<typename Derived> class DenseBase;
template<typename Derived,
AccessorLevels Level = (ei_traits<Derived>::Flags & DirectAccessBit) ? DirectAccessors
: (ei_traits<Derived>::Flags & LvalueBit) ? WriteAccessors
AccessorLevels Level = (internal::traits<Derived>::Flags & DirectAccessBit) ? DirectAccessors
: (internal::traits<Derived>::Flags & LvalueBit) ? WriteAccessors
: ReadOnlyAccessors>
class DenseCoeffsBase;
@@ -61,7 +64,7 @@ template<typename ExpressionType> class ForceAlignedAccess;
template<typename ExpressionType> class SwapWrapper;
template<typename XprType, int BlockRows=Dynamic, int BlockCols=Dynamic, bool InnerPanel = false,
bool HasDirectAccess = ei_has_direct_access<XprType>::ret> class Block;
bool HasDirectAccess = internal::has_direct_access<XprType>::ret> class Block;
template<typename MatrixType, int Size=Dynamic> class VectorBlock;
template<typename MatrixType> class Transpose;
@@ -95,58 +98,67 @@ template<typename MatrixType> struct CommaInitializer;
template<typename Derived> class ReturnByValue;
template<typename ExpressionType> class ArrayWrapper;
template<typename DecompositionType, typename Rhs> struct ei_solve_retval_base;
template<typename DecompositionType, typename Rhs> struct ei_solve_retval;
template<typename DecompositionType> struct ei_kernel_retval_base;
template<typename DecompositionType> struct ei_kernel_retval;
template<typename DecompositionType> struct ei_image_retval_base;
template<typename DecompositionType> struct ei_image_retval;
namespace internal {
template<typename DecompositionType, typename Rhs> struct solve_retval_base;
template<typename DecompositionType, typename Rhs> struct solve_retval;
template<typename DecompositionType> struct kernel_retval_base;
template<typename DecompositionType> struct kernel_retval;
template<typename DecompositionType> struct image_retval_base;
template<typename DecompositionType> struct image_retval;
} // end namespace internal
template<typename _Scalar, int Rows=Dynamic, int Cols=Dynamic, int Supers=Dynamic, int Subs=Dynamic, int Options=0> class BandMatrix;
template<typename Lhs, typename Rhs> struct ei_product_type;
namespace internal {
template<typename Lhs, typename Rhs> struct product_type;
}
template<typename Lhs, typename Rhs,
int ProductType = ei_product_type<Lhs,Rhs>::value>
int ProductType = internal::product_type<Lhs,Rhs>::value>
struct ProductReturnType;
// this is a workaround for sun CC
template<typename Lhs, typename Rhs> struct LazyProductReturnType;
namespace internal {
// Provides scalar/packet-wise product and product with accumulation
// with optional conjugation of the arguments.
template<typename LhsScalar, typename RhsScalar, bool ConjLhs=false, bool ConjRhs=false> struct ei_conj_helper;
template<typename LhsScalar, typename RhsScalar, bool ConjLhs=false, bool ConjRhs=false> struct conj_helper;
template<typename Scalar> struct ei_scalar_sum_op;
template<typename Scalar> struct ei_scalar_difference_op;
template<typename Scalar> struct ei_scalar_conj_product_op;
template<typename Scalar> struct ei_scalar_quotient_op;
template<typename Scalar> struct ei_scalar_opposite_op;
template<typename Scalar> struct ei_scalar_conjugate_op;
template<typename Scalar> struct ei_scalar_real_op;
template<typename Scalar> struct ei_scalar_imag_op;
template<typename Scalar> struct ei_scalar_abs_op;
template<typename Scalar> struct ei_scalar_abs2_op;
template<typename Scalar> struct ei_scalar_sqrt_op;
template<typename Scalar> struct ei_scalar_exp_op;
template<typename Scalar> struct ei_scalar_log_op;
template<typename Scalar> struct ei_scalar_cos_op;
template<typename Scalar> struct ei_scalar_sin_op;
template<typename Scalar> struct ei_scalar_pow_op;
template<typename Scalar> struct ei_scalar_inverse_op;
template<typename Scalar> struct ei_scalar_square_op;
template<typename Scalar> struct ei_scalar_cube_op;
template<typename Scalar, typename NewType> struct ei_scalar_cast_op;
template<typename Scalar> struct ei_scalar_multiple_op;
template<typename Scalar> struct ei_scalar_quotient1_op;
template<typename Scalar> struct ei_scalar_min_op;
template<typename Scalar> struct ei_scalar_max_op;
template<typename Scalar> struct ei_scalar_random_op;
template<typename Scalar> struct ei_scalar_add_op;
template<typename Scalar> struct ei_scalar_constant_op;
template<typename Scalar> struct ei_scalar_identity_op;
template<typename Scalar> struct scalar_sum_op;
template<typename Scalar> struct scalar_difference_op;
template<typename Scalar> struct scalar_conj_product_op;
template<typename Scalar> struct scalar_quotient_op;
template<typename Scalar> struct scalar_opposite_op;
template<typename Scalar> struct scalar_conjugate_op;
template<typename Scalar> struct scalar_real_op;
template<typename Scalar> struct scalar_imag_op;
template<typename Scalar> struct scalar_abs_op;
template<typename Scalar> struct scalar_abs2_op;
template<typename Scalar> struct scalar_sqrt_op;
template<typename Scalar> struct scalar_exp_op;
template<typename Scalar> struct scalar_log_op;
template<typename Scalar> struct scalar_cos_op;
template<typename Scalar> struct scalar_sin_op;
template<typename Scalar> struct scalar_pow_op;
template<typename Scalar> struct scalar_inverse_op;
template<typename Scalar> struct scalar_square_op;
template<typename Scalar> struct scalar_cube_op;
template<typename Scalar, typename NewType> struct scalar_cast_op;
template<typename Scalar> struct scalar_multiple_op;
template<typename Scalar> struct scalar_quotient1_op;
template<typename Scalar> struct scalar_min_op;
template<typename Scalar> struct scalar_max_op;
template<typename Scalar> struct scalar_random_op;
template<typename Scalar> struct scalar_add_op;
template<typename Scalar> struct scalar_constant_op;
template<typename Scalar> struct scalar_identity_op;
template<typename LhsScalar,typename RhsScalar=LhsScalar> struct ei_scalar_product_op;
template<typename LhsScalar,typename RhsScalar> struct ei_scalar_multiple2_op;
template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_product_op;
template<typename LhsScalar,typename RhsScalar> struct scalar_multiple2_op;
} // end namespace internal
struct IOFormat;
@@ -165,7 +177,9 @@ template<typename MatrixType, int Direction = BothDirections> class Reverse;
template<typename MatrixType> class FullPivLU;
template<typename MatrixType> class PartialPivLU;
template<typename MatrixType> struct ei_inverse_impl;
namespace internal {
template<typename MatrixType> struct inverse_impl;
}
template<typename MatrixType> class HouseholderQR;
template<typename MatrixType> class ColPivHouseholderQR;
template<typename MatrixType> class FullPivHouseholderQR;
@@ -192,12 +206,15 @@ template<typename MatrixType,int Direction> class Homogeneous;
// MatrixFunctions module
template<typename Derived> struct MatrixExponentialReturnValue;
template<typename Derived> class MatrixFunctionReturnValue;
namespace internal {
template <typename Scalar>
struct ei_stem_function
struct stem_function
{
typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar;
typedef ComplexScalar type(ComplexScalar, int);
};
}
#ifdef EIGEN2_SUPPORT