Function SparseCSFTensorToNdarray

python/pyarrow/src/arrow/python/numpy_convert.cc:379–416

}

Status SparseCSFTensorToNdarray(const std::shared_ptr<SparseCSFTensor>& sparse_tensor,
                                PyObject* base, PyObject** out_data,
                                PyObject** out_indptr, PyObject** out_indices) {
  const auto& sparse_index = arrow::internal::checked_cast<const SparseCSFIndex&>(
      *sparse_tensor->sparse_index());

  // Wrap tensor data
  OwnedRef result_data;
  RETURN_NOT_OK(SparseTensorDataToNdarray(
      *sparse_tensor, {static_cast<npy_intp>(sparse_tensor->non_zero_length()), 1}, base,
      result_data.ref()));

  // Wrap indices
  int ndim = static_cast<int>(sparse_index.indices().size());
  OwnedRef indptr(PyList_New(ndim - 1));
  OwnedRef indices(PyList_New(ndim));
  RETURN_IF_PYERROR();

  for (int i = 0; i < ndim - 1; ++i) {
    PyObject* item;
    RETURN_NOT_OK(TensorToNdarray(sparse_index.indptr()[i], base, &item));
    if (PyList_SetItem(indptr.obj(), i, item) < 0) {
      RETURN_IF_PYERROR();
    }
  }
  for (int i = 0; i < ndim; ++i) {
    PyObject* item;
    RETURN_NOT_OK(TensorToNdarray(sparse_index.indices()[i], base, &item));
    if (PyList_SetItem(indices.obj(), i, item) < 0) {
      RETURN_IF_PYERROR();
    }
  }

  *out_indptr = indptr.detach();
  *out_indices = indices.detach();
  *out_data = result_data.detach();
  return Status::OK();
}

Status NdarraysToSparseCOOTensor(MemoryPool* pool, PyObject* data_ao, PyObject* coords_ao,
                                 const std::vector<int64_t>& shape,