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, got: %x", r) } var bytes [32]byte _, err := io.ReadFull(rand.Reader, bytes[:]) if err != nil { t.Fatal(err) } x.SetBytes(bytes[:]) xinv.Invert(&x) r.Multiply(&x, &xinv) r.reduce() if one != r { t.Errorf("random inversion identity failed, got: %x for field element %x", r, x) } zero := Element{} x.Set(&zero) if xx := xinv.Invert(&x); xx != &xinv {...

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, got: %x", r) } var bytes [32]byte _, err := io.ReadFull(rand.Reader, bytes[:]) if err != nil { t.Fatal(err) } x.SetBytes(bytes[:]) xinv.Invert(&x) r.Multiply(&x, &xinv) r.reduce() if one != r { t.Errorf("random inversion identity failed, got: %x for field element %x", r, x) } zero := Element{} x.Set(&zero) if xx := xinv.Invert(&x); xx != &xinv {...

to `tf.setdiff1d` to match NumPy naming. * `tf.inv` has been renamed to be
`tf.reciprocal` (component-wise reciprocal) to avoid confusion with `np.inv`
which is matrix inversion * tf.round now uses banker's rounding (round to even)
semantics to match NumPy. * `tf.split` now takes arguments in a reversed order
and with different keywords. In particular, we now match NumPy order as