`StringLookup`, `IntegerLookup`, which will encode each element in
            an input batch individually, and automatically append a new output
            dimension if necessary. Use this mode on rank 1 inputs for the old
            `"binary"` behavior of one-hot encoding a batch of scalars.
        *   `Normalization` will no longer automatically uprank rank 1 inputs,

"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++ { regsList = append(regsList, fmt.Sprintf("V%d.B16", j)) } result = append(result, RegsBatch{ Size: 16 * batch, Regs: strings.Join(regsList, ", "), }) nregs -= batch firstReg += batch } return result }, "enc_args": func(key, n int, withMc bool) EncArgs { return EncArgs{ Key: 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++ { regsList = append(regsList, fmt.Sprintf("V%d.B16", j)) } result = append(result, RegsBatch{ Size: 16 * batch, Regs: strings.Join(regsList, ", "), }) nregs -= batch firstReg += batch } return result }, "enc_args": func(key, n int, withMc bool) EncArgs { return EncArgs{ Key: key,...

* 👷 Make Pydantic versions customizable in CI. PR [#14535](https://github.com/fastapi/fastapi/pull/14535) by [@tiangolo](https://github.com/tiangolo).
* 👷 Fix checkout GitHub Action fetch-depth for LLM translations, enable cron monthly. PR [#14531](https://github.com/fastapi/fastapi/pull/14531) by [@tiangolo](https://github.com/tiangolo).