rr, _ := fieldToMontgomery(x) r1, r0 := SpecDecompose(rr, p) // Check that SpecDecompose is correct. // r ≡ r1 * (2 * γ2) + r0 mod q γ2 := (q - 1) / uint32(p.γ2) reconstructed := reduceModQ(int32(r1*2*γ2) + r0) if reconstructed != x { t.Fatalf("SpecDecompose(%d) = (%d, %d), which reconstructs to %d, expected %d", x, r1, r0, reconstructed, x) } var gotR1 byte var gotR0 int32 switch p.γ2 { case 88: gotR1, gotR0 = decompose88(rr) if gotR1 > 43 { t.Fatalf("decompose88(%d) returned r1 = %d, which is out...

        categorical preprocessing layers now support `output_mode`.
    *   All preprocessing layer output will follow the compute dtype of a
        `tf.keras.mixed_precision.Policy`, unless constructed with
        `output_mode="int"` in which case output will be `tf.int64`. The output
        type of any preprocessing layer can be controlled individually by
        passing a `dtype` argument to the layer.