| from __future__ import annotations |
|
|
| import json, os, re |
| from typing import Dict, List, Optional |
| from transformers import PreTrainedTokenizer |
|
|
| |
| _MOVE_RE = re.compile(r"^(?P<side>[WB])(?P<piece>[PNBRQK])(?P<src>[a-h][1-8])(?P<dst>[a-h][1-8])(?P<suffix>.*)$") |
| _PROMO_RE = re.compile(r"=([QRBNqrbn])") |
|
|
| def _parse_suffix(suffix: str): |
| s = (suffix or "").strip() |
| is_capture = "x" in s |
| is_check = "+" in s |
| is_mate = "*" in s |
| castle = "O-O-O" if "(O)" in s else ("O-O" if "(o)" in s else None) |
| promo = None |
| m = _PROMO_RE.search(s) |
| if m: |
| promo = m.group(1).lower() |
| return is_capture, is_check, is_mate, castle, promo |
|
|
| class ChessTokenizer(PreTrainedTokenizer): |
| model_input_names = ["input_ids", "attention_mask"] |
| vocab_files_names = {"vocab_file": "vocab.json"} |
|
|
| PAD_TOKEN = "[PAD]" |
| BOS_TOKEN = "[BOS]" |
| EOS_TOKEN = "[EOS]" |
| UNK_TOKEN = "[UNK]" |
|
|
| def __init__(self, vocab_file: Optional[str] = None, vocab: Optional[Dict[str, int]] = None, **kwargs): |
| self._pad_token = self.PAD_TOKEN |
| self._bos_token = self.BOS_TOKEN |
| self._eos_token = self.EOS_TOKEN |
| self._unk_token = self.UNK_TOKEN |
|
|
| kwargs.pop("pad_token", None) |
| kwargs.pop("bos_token", None) |
| kwargs.pop("eos_token", None) |
| kwargs.pop("unk_token", None) |
|
|
| if vocab is not None: |
| self._vocab = vocab |
| elif vocab_file and os.path.exists(vocab_file): |
| with open(vocab_file, "r", encoding="utf-8") as f: |
| self._vocab = json.load(f) |
| else: |
| self._vocab = self._create_default_vocab() |
|
|
| self._ids_to_tokens = {v: k for k, v in self._vocab.items()} |
|
|
| super().__init__( |
| pad_token=self._pad_token, |
| bos_token=self._bos_token, |
| eos_token=self._eos_token, |
| unk_token=self._unk_token, |
| **kwargs, |
| ) |
|
|
| @property |
| def vocab_size(self) -> int: |
| return len(self._vocab) |
|
|
| def get_vocab(self) -> Dict[str, int]: |
| return dict(self._vocab) |
|
|
| def _convert_token_to_id(self, token: str) -> int: |
| return self._vocab.get(token, self._vocab.get(self.UNK_TOKEN, 0)) |
|
|
| def _convert_id_to_token(self, index: int) -> str: |
| return self._ids_to_tokens.get(index, self.UNK_TOKEN) |
|
|
| def _create_default_vocab(self) -> Dict[str, int]: |
| tokens: List[str] = [self.PAD_TOKEN, self.BOS_TOKEN, self.EOS_TOKEN, self.UNK_TOKEN] |
| |
| tokens += [f"[W{p}]" for p in "PNBRQK"] |
| tokens += [f"[B{p}]" for p in "PNBRQK"] |
| |
| tokens += [f"[{f}{r}]" for f in "abcdefgh" for r in "12345678"] |
| |
| tokens += ["[x]", "[+]", "[#]", "[O-O]", "[O-O-O]"] |
| tokens += [f"[={p}]" for p in "qrbn"] |
| return {tok: i for i, tok in enumerate(tokens)} |
|
|
| def _tokenize(self, text: str) -> List[str]: |
| out: List[str] = [] |
| for move in (text or "").strip().split(): |
| |
| if re.fullmatch(r"[a-h][1-8][a-h][1-8][qrbn]?", move): |
| src, dst = move[:2], move[2:4] |
| out += [f"[{src}]", f"[{dst}]"] |
| if len(move) == 5: |
| out += [f"[={move[4]}]"] |
| continue |
|
|
| m = _MOVE_RE.match(move) |
| if not m: |
| out.append(self.UNK_TOKEN) |
| continue |
|
|
| side = m.group("side") |
| piece = m.group("piece") |
| src = f"[{m.group('src')}]" |
| dst = f"[{m.group('dst')}]" |
| is_cap, is_chk, is_mate, castle, promo = _parse_suffix(m.group("suffix") or "") |
|
|
| out += [f"[{side}{piece}]", src, dst] |
| if castle: |
| out.append(f"[{castle}]") |
| if is_cap: |
| out.append("[x]") |
| if is_mate: |
| out.append("[#]") |
| elif is_chk: |
| out.append("[+]") |
| if promo: |
| out.append(f"[={promo}]") |
| return out |
|
|
| def convert_tokens_to_string(self, tokens: List[str]) -> str: |
| special = {self.PAD_TOKEN, self.BOS_TOKEN, self.EOS_TOKEN, self.UNK_TOKEN} |
| return " ".join(t for t in tokens if t not in special) |
|
|
| def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> tuple: |
| if not os.path.isdir(save_directory): |
| os.makedirs(save_directory, exist_ok=True) |
| vocab_file = os.path.join(save_directory, (filename_prefix + "-" if filename_prefix else "") + "vocab.json") |
| with open(vocab_file, "w", encoding="utf-8") as f: |
| json.dump(self._vocab, f, ensure_ascii=False, indent=2) |
| return (vocab_file,) |