int) int { return a + b }, "xrange": func(n int) []int { result := make([]int, n) for i := 0; i < n; i++ { result[i] = i } return result }, "block_reg": func(block int) int { return blockOffset + block }, "round_key_reg": func(key int) int { return roundKeyOffset + key }, "regs_batches": func(firstReg, nregs int) []RegsBatch { result := make([]RegsBatch, 0) for nregs != 0 { batch := 4 if nregs < batch { batch = nregs } regsList := make([]string, 0, batch) for j := firstReg; j < firstReg+batch; j++ {...

failed the check // (but not the value or sign of the coefficient). y := make([]ringElement, l, maxL) for r := range y { counter := make([]byte, 2) byteorder.LEPutUint16(counter, uint16(κ)) κ++ H.Reset() H.Write(nonce) H.Write(counter) v := make([]byte, (p.γ1+1)*n/8, (maxγ1+1)*n/8) H.Read(v) y[r] = bitUnpack(v, p) } // w = NTT⁻¹(Â ∘ NTT(y)) yHat := make([]nttElement, l, maxL) for i := range y { yHat[i] = ntt(y[i]) } w := make([]ringElement, k, maxK) for i := range w { var wHat nttElement for j :=...

        -  The API may be available in the public Keras API under a different name, so make sure to look for it on keras.io or TensorFlow docs and switch to the public version.
        -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!