| #include <tiledb/tiledb> |
| #include <tiledb/tiledb_experimental> |
|
|
| #include <pybind11/numpy.h> |
| #include <pybind11/pybind11.h> |
| #include <pybind11/pytypes.h> |
| #include <pybind11/stl.h> |
|
|
| #include "common.h" |
|
|
| namespace libtiledbcpp { |
|
|
| using namespace tiledb; |
| using namespace tiledbpy::common; |
| namespace py = pybind11; |
|
|
| void init_enumeration(py::module &m) { |
| py::class_<Enumeration>(m, "Enumeration") |
| .def(py::init<Enumeration>()) |
|
|
| .def(py::init([](const Context &ctx, const std::string &name, |
| py::dtype type, bool ordered) { |
| tiledb_datatype_t data_type; |
| try { |
| data_type = np_to_tdb_dtype(type); |
| } catch (const TileDBPyError &e) { |
| throw py::type_error(e.what()); |
| } |
| py::size_t cell_val_num = get_ncells(type); |
|
|
| return Enumeration::create_empty(ctx, name, data_type, cell_val_num, |
| ordered); |
| })) |
|
|
| .def(py::init([](const Context &ctx, const std::string &name, |
| std::vector<std::string> &values, bool ordered, |
| tiledb_datatype_t type) { |
| return Enumeration::create(ctx, name, values, ordered, type); |
| })) |
|
|
| .def(py::init([](const Context &ctx, const std::string &name, |
| bool ordered, py::array data, py::array offsets) { |
| tiledb_datatype_t data_type; |
| try { |
| data_type = np_to_tdb_dtype(data.dtype()); |
| } catch (const TileDBPyError &e) { |
| throw py::type_error(e.what()); |
| } |
|
|
| py::buffer_info data_buffer = data.request(); |
| if (data_buffer.ndim != 1) |
| throw py::type_error("Only 1D Numpy arrays can be stored as " |
| "enumeration values"); |
|
|
| py::size_t cell_val_num = |
| offsets.size() == 0 ? get_ncells(data.dtype()) : TILEDB_VAR_NUM; |
|
|
| return Enumeration::create( |
| ctx, name, data_type, cell_val_num, ordered, data.data(), |
| data.nbytes(), offsets.size() == 0 ? nullptr : offsets.data(), |
| offsets.nbytes()); |
| })) |
|
|
| .def(py::init<const Context &, py::capsule>(), py::keep_alive<1, 2>()) |
|
|
| .def("__capsule__", |
| [](Enumeration &enmr) { |
| return py::capsule(enmr.ptr().get(), "enmr"); |
| }) |
|
|
| .def_property_readonly("name", &Enumeration::name) |
|
|
| .def_property_readonly("type", &Enumeration::type) |
|
|
| .def_property_readonly("cell_val_num", &Enumeration::cell_val_num) |
|
|
| .def_property_readonly("ordered", &Enumeration::ordered) |
|
|
| .def("values", |
| [](Enumeration &enmr) { |
| auto data = enmr.as_vector<std::byte>(); |
| auto dtype = tdb_to_np_dtype(enmr.type(), enmr.cell_val_num()); |
| return py::array(dtype, data.size() / dtype.itemsize(), |
| data.data()); |
| }) |
| .def("str_values", |
| [](Enumeration &enmr) { return enmr.as_vector<std::string>(); }) |
|
|
| .def( |
| "extend", |
| static_cast<Enumeration (Enumeration::*)(std::vector<std::string> &)>( |
| &Enumeration::extend)) |
| .def("extend", [](Enumeration &enmr, py::array data) { |
| return enmr.extend(data.data(), data.nbytes(), nullptr, 0); |
| }); |
| } |
|
|
| } |
|
|