# Tag-classify pretokenization — design spec **Principle (simdjson move):** compute a per-char **tag** stream in *one* SIMD pass, then every pretokenizer is a cheap consumer over that stream. Two orthogonal tag alphabets (**atoms** for category-based pretokenizers, **scripts** for `UnicodeScripts`) are produced by the *same* generic range-classify engine — only the tables differ. 0-dep at runtime (tables bake to `const`; `unicode_categories` is a dev-only *generator* dep, like `bitmap_gen`). ``` ┌── classify ──► tag[] (one SIMD pass, char-start aligned) text (UTF-8 bytes) ───┤ └── char-start bitplane (for multibyte / char-count) │ tag = ATOM (u4) │ tag = SCRIPT (u8) │ │ │ ├ remap(vqtbl1) → class-view ───┤ └ FSM: split on script change │ │ (Common/Any/Inherited transparent) ├ RunSplit FSM (SIMD boundary + extract) ← WhitespaceSplit, Whitespace, Punctuation, Digits, Bert └ Cl100k/ByteLevel FSM (scalar, segmented) ← cl100k, GPT-2 ``` --- ## 1. The atom alphabet (12 tags, fits `u4`) Derived by enumerating all 1.1M codepoints against the exact predicates in the pretokenizer code (`scratchpad/atomgen`). 10 base atoms + the two ASCII specials promoted (Space, Apostrophe). | # | atom | definition | example | |---|---|---|---| | 0 | `Letter` | `\p{L}` | `a 中 é` | | 1 | `NumWord` | `Nd ∪ Nl` (numeric **and** `\w`) | `0-9 Ⅷ ٠` | | 2 | `NumOther` | `No` (numeric, not `\w`) | `½ ² ¼` | | 3 | `Newline` | `\r \n` | | | 4 | `Space` | `0x20` only | ` ` | | 5 | `WsOther` | `\s ∖ {\r\n, 0x20}` | `\t` NBSP U+2028 | | 6 | `Mark` | `\p{M} ∪ {ZWJ,ZWNJ} ∪ (Other_Alphabetic∖L)` | combining marks | | 7 | `Connector` | `\p{Pc}` | `_ ‿` | | 8 | `Punct` | `(\p{P}∖Pc) ∪ ASCII-sym`, minus `0x27` | `! . , + = < $` | | 9 | `Apostrophe` | `0x27` only | `'` | | 10 | `SymOther` | non-ASCII `\p{S}` ∪ control ∪ unassigned | `× ©` U+0000 | | 11 | `NumericOther` | `is_numeric ∖ \p{N}` | numeric-typed non-numbers | `Cont` (continuation byte) is the 13th value or, equivalently, tag `0xFF` + `char_start=0`; it's transparent to every FSM. Base predicates that forced the split (proven, not guessed): `is_alphabetic ≠ \p{L}` (27043 cps), `is_numeric ≠ \p{N}` (478 cps → atom 11), ASCII-vs-Unicode symbol asymmetry (ASCII sym → 8, non-ASCII sym → 10). ## 2. The generic classify engine (composable lanes) `classify` walks 16-byte chunks. Per chunk it runs **lanes**, each gated by a cheap `vmaxvq` range test so ASCII-only chunks skip the multibyte lanes entirely. Every lane maps its byte-region to a tag; the *structure* is shared across tag alphabets, only the per-lane **table** changes. A `Classifier` = an ordered set of lanes + their tables. | lane | byte range | mechanism | shared? | |---|---|---|---| | **ASCII** | `< 0x80` | `LUT128[byte] → tag` (nibble-shuffle / range) | structure shared; table per-alphabet | | **2-byte** | `C2–DF` | codepoint bitmap (`vqtbl` `LETTER2`…) *or* range | per-alphabet | | **CJK** | `E3–EC` | lead-byte range → tag (atoms: `Letter`; scripts: `Han`) | structure shared | | **3-byte-other** | `E0–E2, ED–EF` | **SIMD range-search** (Thai/Devanagari; the must-fix) | structure shared | | **4-byte** | `F0+` | SIMD range-search (rare) | structure shared | | **cont** | `80–BF` | tag = `Cont`, `char_start=0` | shared | **SIMD range-search kernel** (used by the 3-byte/4-byte lanes, and the whole script classifier): a sorted threshold list classifies branchlessly by *counting thresholds cleared* — `range_id = Σᵢ (cp ≥ tᵢ)` via broadcast `vcgeq` + accumulate, then `tag = TAG_LUT[range_id]` (a `vqtbl1`). No binary search, no data-dependent branches, 16 lanes at a time. This is why the 3-byte-non-CJK marks/letters gap has **no scalar slow path**. Output: `tag[]` (one byte per input byte; continuation bytes = `Cont`) + a `char_start` bitplane. ## 3. Composition: atoms and scripts are the same engine ``` AtomClassifier = { ASCII: ATOM_ASCII_LUT, 2byte: ATOM_BITMAPS, CJK: →Letter, 3byte: ATOM_GC_RANGES, 4byte: ATOM_GC_RANGES } ScriptClassifier = { ASCII: SCRIPT_ASCII_LUT (mostly Common/Latin), 2byte: SCRIPT_RANGES, CJK: →Han, 3byte: SCRIPT_RANGES, 4byte: SCRIPT_RANGES } ``` Same lane code, same gating, same SIMD range kernel — swap the tables. `UnicodeScripts`' `fixed_script` (Hira/Kata→Han, space→Any) is a post-remap, the same slot atoms use. So `UnicodeScripts` reuses the entire classify + FSM framework; it is *not* a second system, it's a second instantiation. (Script ⊥ atom at the *value* level — `'a'`/`'а'`/`'中'` are one atom, three scripts — so they remain separate streams; you run whichever the configured pretokenizer needs.) ## 4. Pretokenizer interface ``` PreTokenizer = { classifier: &Classifier, // Atoms (almost always) or Scripts remap: Remap, // tag → consumer class fsm: Fsm, // class-view → spans } ``` - **`Remap`**: for `≤16` tags (atoms) it's a **16-byte `vqtbl1`** table — 16 chars remapped in one instruction. For scripts (`>16` tags) there is no small remap; the FSM compares script-ids directly. - **`Fsm`** kinds (all local over the remapped tag view; the boundary stream is `tag ∈ mask`): - `Split { delim_mask, behavior }` — the HF delimiter split. A char is a *match* iff `tag ∈ delim_mask`; matches are per-char, non-matches are runs; then `behavior ∈ {Removed, Isolated, Contiguous, MergedWithPrevious, MergedWithNext}` places boundaries / drops the match segments exactly as `SplitDelimiterBehavior` (normalizer.rs). Covers WhitespaceSplit (`WS`,Removed), Punctuation (`Punct∪Pc∪Apostrophe`,Isolated), Digits (`numeric`,Contiguous), Metaspace (`Space→▁`,MergedWithNext), CharDelimiterSplit (byte), Split-literal. → SIMD class-change → movemask → `extract`; `Contiguous`/`Removed`/`Isolated` are pure boundary masks (bitmask *wins* here), `MergedWith*` a one-lane shift. - `ClassRuns { drop_mask, isolate_mask }` — cut at *every* class change; drop `drop_mask` runs, isolate `isolate_mask` per-char. Covers Whitespace (drop `WS`, keep Word+Symbol runs) and Bert (drop `WS`, isolate `Punct`). This is the case that keeps *two* run types, so it isn't a single `Split`. - `Cl100k` / `ByteLevel` — the 7-rule (GPT-2) **scalar** FSM (segmented `{1,3}` / ws-tail — measured to beat the bitmask here). Peeks original bytes for the contraction suffix literals (ASCII). - `ScriptRun` — run-split on script change, transparent set `{Common, Inherited, Any}` sticks to the neighbouring run. FSMs read the **tag stream** as primary input and may peek the **original bytes** for literal matches that tags can't encode (cl100k contraction suffixes `'s`/`'re`, Metaspace marker, delimiter char). ## 5. Remap tables (atoms → consumer class), all `[u8;16]` Atom index: `0 Letter · 1 NumWord · 2 NumOther · 3 Newline · 4 Space · 5 WsOther · 6 Mark · 7 Connector · 8 Punct · 9 Apostrophe · 10 SymOther · 11 NumericOther` ``` 0 1 2 3 4 5 6 7 8 9 10 11 cl100k [ L, N, N, NL, SP, WS, O, O, O, AP, O, O ] // AP triggers rule 1; SP is rule-4 ` ?` ByteLevel [ L, N, N, WS, SP, WS, O, O, O, O, O, O ] // no \r\n split Whitespace [Wrd, Wrd, Sym, ws, ws, ws, Wrd, Wrd, Sym, Sym, Sym, Sym ] WhitespaceSpl [ ·, ·, ·, WS, WS, WS, ·, ·, ·, ·, ·, · ] Punctuation [ ·, ·, ·, ·, ·, ·, ·, P, P, P, ·, · ] Digits [ ·, N, N, ·, ·, ·, ·, ·, ·, ·, ·, N ] Bert [ O, O, O, WS, WS, WS, O, P, P, P, O, O ] // ws-split + isolate punct ``` ## 6. Outside the tag substrate - `Split(regex)` — runtime pattern; **feature-gated**, rarely used. Escape hatch, not designed for. - `CharDelimiterSplit` — arbitrary single byte; a byte compare, touches no tag. - `FixedLength` — positional char count; rides the `char_start` bitplane only. - Metaspace / cl100k-apostrophe — literal-byte matches; FSM peeks original bytes (§4). ## 7. Portability (SIMD and non-SIMD share one table set) Every table (`LETTER2/3`, `NUMBER2/3`, and the new `MARK2/3`/`PUNCT2/3`/`SYM2/3`/`CONNECTOR` + 3-byte range tables) is arch-independent **data**, baked `const` by `bitmap_gen` (dev-only generator). Each lane has two readers producing the *identical* tag: | lane | SIMD reader (aarch64) | scalar reader (portable) | |---|---|---| | ASCII | nibble-shuffle | `LUT128[byte]` | | 2/3-byte bitmap | `vqtbl` gather | `(TABLE[idx] >> bit) & 1` — **this is `FastLetter/FastNumber::step`** | | CJK / range | branchless `Σ(cp ≥ tᵢ)` | plain range loop / binary search | So `classify_cats` = `#[cfg(aarch64)] classify_neon` else `classify_scalar`, both emitting the same `tag[]` (one byte-exact gate covers both). The **matchers already built are the scalar 2/3-byte reader**, reused as-is. Downstream is already portable: `remap` is a table index; the FSMs are scalar even on NEON (the shipped split *is* scalar). The only aarch64-only piece is the SIMD boundary-extract optimisation for `Split`/`ClassRuns`; its scalar fallback is a run-scan (the measured winner for short runs regardless). ## 8. Speed contract - **classify** is the one hot pass; keep the ASCII/2-byte/CJK fast lanes, SIMD range for the rest. No scalar slow path (range kernel is branchless SIMD). - **remap** is 1 `vqtbl1` / 16 chars. - **RunSplit** pretokenizers extract via SIMD boundary bitmask (this is where the bitmask *wins* — no segmented rules). - **cl100k/ByteLevel** stay scalar-FSM (segmented rules; measured winner vs onig 5–45×, byte-exact). - byte-exactness gate: every FSM's output must equal its reference (regex / current impl) over a multi-script corpus. That single assert has caught every bug in this line of work.