bigmod.NewNat().Exp(c, priv.d.Bytes(N), N) } else { P, Q := priv.p, priv.q t0 := bigmod.NewNat() // m = c ^ Dp mod p m = bigmod.NewNat().Exp(t0.Mod(c, P), priv.dP, P) // m2 = c ^ Dq mod q m2 := bigmod.NewNat().Exp(t0.Mod(c, Q), priv.dQ, Q) // m = m - m2 mod p m.Sub(t0.Mod(m2, P), P) // m = m * Qinv mod p m.Mul(priv.qInv, P) // m = m * q mod N m.ExpandFor(N).Mul(t0.Mod(Q.Nat(), N), N) // m = m + m2 mod N m.Add(m2.ExpandFor(N), N) } if check { c1 := bigmod.NewNat().ExpShortVarTime(m, uint(E), N) if c1.Equal(c)...

- golang.org/x/crypto: bac4c82 → 75b2880
- golang.org/x/exp: 4b39c73 → da58074
- golang.org/x/image: 0694c2d → cff245a
- golang.org/x/lint: 959b441 → fdd1cda
- golang.org/x/mobile: d3739f8 → d2bd2a2
- golang.org/x/mod: 4bf6d31 → v0.3.0
- golang.org/x/net: 13f9640 → ab34263
- golang.org/x/oauth2: 0f29369 → 858c2ad
- golang.org/x/sys: fde4db3 → ed371f2
- golang.org/x/text: v0.3.2 → v0.3.3
- golang.org/x/time: 9d24e82 → 555d28b

* TensorFlow/models have been moved to a separate github repository. * Division
and modulus operators (/, //, %) now match Python (flooring) semantics. This
applies to `tf.div` and `tf.mod` as well. To obtain forced integer truncation
based behaviors you can use `tf.truncatediv` and `tf.truncatemod`. *
`tf.divide()` is now the recommended division function. `tf.div()` will remain,