Spaces:
Sleeping
Sleeping
File size: 1,316 Bytes
a5f2e46 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | import json
from pathlib import Path
DATA_DIR = Path(__file__).parents[2] / "data"
class MoveTokenizer:
def __init__(self, vocab_path=DATA_DIR / "tokenizer_models/chess_moves_vocab.json"):
with open(vocab_path, "r") as f:
self.vocab = json.load(f)
self.inv_vocab = {v: k for k, v in self.vocab.items()}
def encode(self, move: str) -> int:
"""Encode a chess move string into a token ID.
Args:
move: A string representing a chess move in UCI format (e.g., "e2e4", "g1f3").
Returns:
An integer token ID representing the move.
"""
if move not in self.vocab:
raise ValueError(f"Move '{move}' not in vocabulary.")
return self.vocab[move]
def decode(self, token_id: int) -> str:
"""Decode a token ID back into a chess move string.
Args:
token_id: An integer token ID representing the move.
Returns:
A string representing a chess move in UCI format.
"""
if token_id not in self.inv_vocab:
raise ValueError(f"Token ID '{token_id}' not in vocabulary.")
return self.inv_vocab[token_id]
@property
def vocab_size(self) -> int:
"""Return the size of the vocabulary."""
return len(self.vocab)
|