behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.
    *   Add support for passing list of lists to the `metrics` param in Keras
        `compile`.
    *   Added top-k to precision and recall to keras metrics.
    *   Adding public APIs for `cumsum` and `cumprod` keras backend functions.

        * Processing a response after being generated by *path operation functions* but before returning it. E.g. adding custom headers, logging, adding extra metadata.
    * New docs section: [Custom Request and APIRoute class](https://fastapi.tiangolo.com/advanced/custom-request-and-route/).

params[:2*blockSize] p = appendBlock(p, blockSize, hashToBytes(c, hash)) p = appendBlock(p, blockSize, priv.d) p = appendBlock(p, blockSize, k.Bytes(c.N)) // Convert verify function code into a sign function code by adding 8. // We also need to set the 'deterministic' bit in the function code, by // adding 128, in order to stop the instruction using its own random number // generator in addition to the random number we supply. switch kdsa(functionCode+136, &params) { case 0: // success elementSize := (c.N.BitLen()...