#include "tensorstore/array.h"
template <typename SourcePointer = ElementPointer,
          typename LayoutOrder = ContiguousLayoutOrder>
  requires std::is_convertible_v<SourcePointer, ElementPointer> &&
           (LayoutContainerKind == container) &&
           (OriginKind == offset_origin) &&
           IsContiguousLayoutOrder<
               LayoutOrder,
               RankConstraint::FromInlineRank(Rank)>
tensorstore::
    Array<ElementTagType, Rank, OriginKind, LayoutContainerKind>::
        Array(SourcePointer element_pointer,
              BoxView<static_rank> domain,
              LayoutOrder order = c_order);

Constructs an array with a contiguous layout from an implicitly convertible element_pointer and domain.

The element_pointer is assumed to point to the element at domain.origin(), not the element at the zero position vector.

Example:

int data[6] = {1, 2, 3, 4, 5, 6};
auto c_array = Array(&data[0], Box({1, 2}, {2, 3}));
EXPECT_EQ(MakeOffsetArray<int>({1, 2}, {{1, 2, 3}, {4, 5, 6}}),
          array);

auto f_array = Array(&data[0], Box({1, 2}, {3, 2}), fortran_order);
EXPECT_EQ(MakeOffsetArray<int>({1, 2}, {{1, 4}, {2, 5}, {3, 6}}),
          array);

Warning

The caller is responsible for ensuring that domain and order are valid for element_pointer. This function does not check them in any way.