!= x2sq { t.Fatalf("all ones failed\nmul: %x\nsqr: %x\n", x2, x2sq) } } func TestEqual(t *testing.T) { x := Element{1, 1, 1, 1, 1} y := Element{5, 4, 3, 2, 1} eq := x.Equal(&x) if eq != 1 { t.Errorf("wrong about equality") } eq = x.Equal(&y) if eq != 0 { t.Errorf("wrong about inequality") } } func TestInvert(t *testing.T) { x := Element{1, 1, 1, 1, 1} one := Element{1, 0, 0, 0, 0} var xinv, r Element xinv.Invert(&x) r.Multiply(&x, &xinv) r.reduce() if one != r { t.Errorf("inversion identity failed,...

        `LookupTable`.
    *   Fix bug where `vectorized_map` failed on inputs with unknown static
        shape.
    *   Add preliminary support for sparse CSR matrices.
    *   Tensor equality with `None` now behaves as expected.
    *   Make calls to `tf.function(f)()`, `tf.function(f).get_concrete_function`
        and `tf.function(f).get_initialization_function` thread-safe.

* 📝 Update docs, compare enums with identity instead of equality. PR [#4905](https://github.com/tiangolo/fastapi/pull/4905) by [@MicaelJarniac](https://github.com/MicaelJarniac).