/** @brief Constructs a tensor using a \c vector
*
* @note It is assumed that vector is column vector
* @note Initially the tensor will be one-dimensional.
*
* @param v vector to be copied.
*/
BOOST_UBLAS_INLINE
tensor (const vector_type &v)
: tensor_expression_type<self_type>()
, extents_ ()
, strides_ ()
, data_ (v.data())
{
if(!data_.empty()){
extents_ = extents_type{data_.size(),1};
strides_ = strides_type(extents_);
}
}
void dump_as_list(const int fd) final {
osmium::io::detail::reliable_write(fd, reinterpret_cast<const char*>(m_vector.data()), byte_size());
}
static pointer storage (vector_type& vr) {
pointer ptr = vector_traits<v_type>::storage (vr.data());
ptr += vr.start() * vector_traits<v_type>::stride (vr.data());
return ptr;
}
static int stride (vector_type& vr) {
return vector_traits<v_type>::stride (vr.data());
}
static pointer storage (vector_type& v) {
typedef typename detail::generate_const<V,ArrT>::type array_type ;
return vector_traits<array_type>::storage (v.data());
}
static pointer storage (vector_type& v) { return v.data(); }
static int stride (vector_type& vs) {
return vs.stride() * vector_traits<v_type>::stride (vs.data());
}
static std::ptrdiff_t stride (vector_type& vr) {
return vector_traits<v_type>::stride (vr.data());
}
static std::ptrdiff_t stride (vector_type& vs) {
return vs.stride() * vector_traits<v_type>::stride (vs.data());
}
