- It is now possible to use the service annotation `cloud.google.com/network-tier: Standard` to configure the Network Tier of the GCE Loadbalancer ([#88532](https://github.com/kubernetes/kubernetes/pull/88532), [@zioproto](https://github.com/zioproto)) [SIG Cloud Provider, Network and Testing]

        layers in order to work, where the Keras symbolic shape inference proves
        insufficient.
    *   Code that tries manually walking a `tf.keras.Model` layer by layer and
        assumes layers only ever have one positional argument. This assumption
        doesn't hold true before TF 2.4 either, but is more likely to cause
        issues now.
    *   Code that manually enters `keras.backend.get_graph()` before building a

* ✨ Add new Deta banner badge with new sponsorship tier 🙇. PR [#3194](https://github.com/tiangolo/fastapi/pull/3194) by [@tiangolo](https://github.com/tiangolo).

bits b[0] &= 0b1111_1111 >> excess // Don't let the value be too small: set the most significant two bits. // Setting the top two bits, rather than just the top bit, means that // when two of these values are multiplied together, the result isn't // ever one bit short. if excess < 7 { b[0] |= 0b1100_0000 >> excess } else { b[0] |= 0b0000_0001 b[1] |= 0b1000_0000 } // Make the value odd since an even number certainly isn't prime. b[len(b)-1] |= 1 // We don't need to check for p >= √2 × 2^(bits-1) (steps...

bits; excess != 0 { b[0] >>= excess } // Don't let the value be too small: set the most significant two bits. // Setting the top two bits, rather than just the top bit, means that // when two of these values are multiplied together, the result isn't // ever one bit short. if excess := len(b)*8 - bits; excess < 7 { b[0] |= 0b1100_0000 >> excess } else { b[0] |= 0b0000_0001 b[1] |= 0b1000_0000 } // Make the value odd since an even number certainly isn't prime. b[len(b)-1] |= 1 // We don't need to check...