def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
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,
                  })