def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_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,
                  })