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12 void seed(
unsigned int seed_value) { srand(seed_value); }
44 using namespace Eigen;
51 "Share the memory when converting from Eigen to Numpy.");
54 "Status of the shared memory when converting from Eigen to Numpy.\n"
55 "If True, the memory is shared when converting an Eigen::Matrix to a "
57 "Otherwise, a deep copy of the Eigen::Matrix is performed.");
59 bp::def(
"seed", &
seed, bp::arg(
"seed_value"),
60 "Initialize the pseudo-random number generator with the argument "
92 #ifdef EIGENPY_WITH_TENSOR_SUPPORT
void exposeMatrixUInt32()
void seed(unsigned int seed_value)
void EIGENPY_DLLAPI enableEigenPy()
void exposeMatrixWindowsLong()
void EIGENPY_DLLAPI import_numpy()
static void registerException()
void exposeMatrixUInt16()
static bool sharedMemory()
void exposeMatrixDouble()
void exposeMatrixLongDouble()
void exposeMatrixUInt64()
bool EIGENPY_DLLAPI withTensorSupport()
void exposeMatrixMacULong()
void exposeMatrixComplexFloat()
void exposeMatrixLinuxULongLong()
void exposeMatrixComplexLongDouble()
void exposeMatrixComplexDouble()
void exposeMatrixLinuxLongLong()
void exposeMatrixMacLong()
void exposeMatrixWindowsULong()
eigenpy
Author(s): Justin Carpentier, Nicolas Mansard
autogenerated on Sat Nov 2 2024 02:14:45