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Download tests/test_compute_bpc.py from yamahei21/uzu-quant-kit: direct link, hf CLI and curl.
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https://huggingface.co/datasets/yamahei21/uzu-quant-kit/resolve/main/tests/test_compute_bpc.py
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3.79 kB
| from __future__ import annotations | |
| import json | |
| import math | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| import pytest | |
| pytest.importorskip("tokenizers") | |
| from tokenizers import Tokenizer, models, pre_tokenizers # noqa: E402 | |
| ROOT = Path(__file__).resolve().parents[1] | |
| def build_tokenizer(path: Path) -> None: | |
| vocab = { | |
| "<unk>": 0, | |
| "the": 1, | |
| "quick": 2, | |
| "brown": 3, | |
| "fox": 4, | |
| "jumps": 5, | |
| "over": 6, | |
| "lazy": 7, | |
| "dog": 8, | |
| "second": 9, | |
| "line": 10, | |
| "here": 11, | |
| "third": 12, | |
| "another": 13, | |
| } | |
| tokenizer = Tokenizer(models.WordLevel(vocab=vocab, unk_token="<unk>")) | |
| tokenizer.pre_tokenizer = pre_tokenizers.Whitespace() | |
| tokenizer.save(str(path / "tokenizer.json")) | |
| def write_fixture(tmp_path: Path, *, tokens: int, chunks: int, ppl: float) -> tuple[Path, Path]: | |
| corpus = tmp_path / "corpus.txt" | |
| corpus.write_text( | |
| "the quick brown fox jumps over the lazy dog\n" | |
| "second line here\n" | |
| "third another line here\n" * 4, | |
| encoding="utf-8", | |
| ) | |
| tokenizer_dir = tmp_path / "tok" | |
| tokenizer_dir.mkdir() | |
| build_tokenizer(tokenizer_dir) | |
| payload = { | |
| "corpus": str(corpus), | |
| "config": { | |
| "corpus": str(corpus), | |
| "max_sequences": chunks, | |
| "max_tokens": 4, | |
| "min_tokens": 1, | |
| }, | |
| "chunks": chunks, | |
| "tokens": tokens, | |
| "bf16_ppl": ppl, | |
| "candidate_ppl": ppl * 1.1, | |
| } | |
| ppl_json = tmp_path / "ppl_en.json" | |
| ppl_json.write_text(json.dumps(payload), encoding="utf-8") | |
| return ppl_json, tokenizer_dir | |
| def run(*args: str) -> subprocess.CompletedProcess[str]: | |
| return subprocess.run( | |
| [sys.executable, str(ROOT / "scripts" / "compute_bpc.py"), *args], | |
| cwd=ROOT, | |
| text=True, | |
| capture_output=True, | |
| check=False, | |
| ) | |
| def test_bpc_is_log2_ppl_times_fertility(tmp_path: Path) -> None: | |
| ppl_json, tokenizer_dir = write_fixture(tmp_path, tokens=9, chunks=3, ppl=8.0) | |
| out = tmp_path / "report.json" | |
| result = run("--ppl-json", str(ppl_json), "--tokenizer", str(tokenizer_dir), "--json", str(out)) | |
| assert result.returncode == 0, result.stdout + result.stderr | |
| report = json.loads(out.read_text(encoding="utf-8"))[0] | |
| assert report["chunks"] == 3 | |
| # every chunk contributes len(chunk) - 1 scored predictions | |
| assert report["tokens"] == report["chunks"] * 3 | |
| assert report["chars"] > 0 | |
| expected = math.log2(8.0) * report["tokens"] / report["chars"] | |
| assert report["bpc_bf16"] == pytest.approx(expected) | |
| assert report["bpc_candidate"] == pytest.approx(math.log2(8.8) * report["tokens"] / report["chars"]) | |
| assert report["reproduced"]["chunks_match"] is True | |
| assert report["reproduced"]["tokens_match"] is True | |
| def test_strict_mode_flags_token_drift(tmp_path: Path) -> None: | |
| ppl_json, tokenizer_dir = write_fixture(tmp_path, tokens=99, chunks=3, ppl=8.0) | |
| result = run("--ppl-json", str(ppl_json), "--tokenizer", str(tokenizer_dir), "--strict") | |
| assert result.returncode == 1 | |
| assert "tokens_match" in result.stdout | |
| def test_accepts_corpus_override(tmp_path: Path) -> None: | |
| ppl_json, tokenizer_dir = write_fixture(tmp_path, tokens=9, chunks=3, ppl=8.0) | |
| payload = json.loads(ppl_json.read_text(encoding="utf-8")) | |
| payload["corpus"] = str(tmp_path / "missing.txt") | |
| payload["config"]["corpus"] = str(tmp_path / "missing.txt") | |
| ppl_json.write_text(json.dumps(payload), encoding="utf-8") | |
| override = tmp_path / "corpus.txt" | |
| result = run("--ppl-json", str(ppl_json), "--tokenizer", str(tokenizer_dir), "--corpus", str(override)) | |
| assert result.returncode == 0, result.stdout + result.stderr | |