def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def edit_tool_type(request, ttid):
    tool_type = Tool_Type.objects.get(pk=ttid)
    if request.method == 'POST':
        tform = ToolTypeForm(request.POST, instance=tool_type)
        if tform.is_valid():
            tform.save()
            messages.add_message(request,
                                 messages.SUCCESS,
                                 'Tool Type Configuration Successfully Updated.',
                                 extra_tags='alert-success')
            return HttpResponseRedirect(reverse('tool_type', ))
    else:
        tform = ToolTypeForm(instance=tool_type)
    add_breadcrumb(title="Edit Tool Type Configuration", top_level=False, request=request)

    return render(request,
                  'dojo/edit_tool_type.html',
                  {
                      'tform': tform,
                  })