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Claude Opus 5.5
Fast engine: stronger first round, rounds 2+ judged in context, never builds on a worse round, stock AI phrases always rewritten
0cb108c Download devtools/bench_fast.py from Rasheed/Test_AI_writing: direct link, hf CLI and curl.
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- Download file 1.75 kB
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https://huggingface.co/spaces/Rasheed/Test_AI_writing/resolve/main/devtools/bench_fast.py
- Command line
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hf download hf://spaces/Rasheed/Test_AI_writing/devtools/bench_fast.py
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curl -L -o bench_fast.py https://huggingface.co/spaces/Rasheed/Test_AI_writing/resolve/main/devtools/bench_fast.py
1.75 kB
| """Fast engine on a small fixed document (default: 4 AI-written subject paragraphs, ~460 words), all rounds allowed, | |
| scored by the live detector ensemble. For comparing engine settings; speed on CPU is not meaningful. | |
| python devtools/bench_fast.py [--paras 4] [--tag name] (FAST_* variables apply as on the Space) | |
| Writes devtools/logs/bench_fast_<tag>.docx and prints the score after each round.""" | |
| import argparse | |
| import os | |
| import shutil | |
| import sys | |
| import time | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parent.parent | |
| sys.path.insert(0, str(ROOT)) | |
| sys.path.insert(0, str(Path(__file__).resolve().parent)) | |
| import env # noqa: E402 | |
| env.load() | |
| os.environ.setdefault("LT_MODE", "off") | |
| os.environ.setdefault("SKIP_MODEL_LOAD", "1") | |
| sys.stdout.reconfigure(encoding="utf-8") | |
| from docx import Document # noqa: E402 | |
| PICK = ["civil engineering", "medicine", "management", "law", "computer science", "economics"] | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--paras", type=int, default=4) | |
| ap.add_argument("--tag", default="run") | |
| a = ap.parse_args() | |
| from samples_domains import DOMAINS | |
| import fast as F | |
| d = Document() | |
| d.add_heading("Benchmark", 1) | |
| for k in PICK[:a.paras]: | |
| d.add_heading(k.title(), 2) | |
| d.add_paragraph(DOMAINS[k]) | |
| src = ROOT / "devtools" / "logs" / "bench_fast_src.docx" | |
| d.save(str(src)) | |
| t = time.time() | |
| r = F.humanize_docx(str(src), budget=100000) | |
| print(f"RESULT {a.tag}: {r['before']['pct']}% -> {r['after']['pct']}% | " + " | ".join(r["log"]) | |
| + f" | {time.time() - t:.0f}s", flush=True) | |
| shutil.copy(r["path"], ROOT / "devtools" / "logs" / f"bench_fast_{a.tag}.docx") | |
| if __name__ == "__main__": | |
| main() | |