darwinian-evolver

Evolve prompts/regex/SQL/code with Imbue's evolution loop.

  • evolution
  • optimization
  • prompt-engineering
  • research

Declared platforms: linux · macos

Install
npx skills add 'https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/research/darwinian-evolver'
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main · 24fd22bScanned 2026-09-15

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scripts/show_snapshot.py

scripts/show_snapshot.pyBrowse 4 files
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"""show_snapshot.py — Dump the population from a darwinian-evolver snapshot pickle. Usage:    python show_snapshot.py PATH/TO/iteration_N.pkl [--field prompt_template] The script is intentionally Organism-agnostic: it walks `org.__dict__` and printsall str fields. By default it shows `prompt_template` if present; pass --field totarget a different attribute (e.g. `regex_pattern`, `sql_query`, `code_block`)."""from __future__ import annotations import argparseimport pickleimport sysfrom pathlib import Path  def main() -> int:    ap = argparse.ArgumentParser()    ap.add_argument("snapshot", type=Path)    ap.add_argument(        "--field",        default=None,        help="Organism attribute to display. Defaults to the first str field found.",    )    ap.add_argument("--top", type=int, default=None, help="Show only top N by score.")    ap.add_argument(        "--i-trust-this-file",        action="store_true",        help=(            "Required acknowledgement that the snapshot is from a trusted source. "            "pickle.loads executes arbitrary code embedded in the file (RCE) and "            "must NEVER be run on snapshots received from untrusted parties."        ),    )    args = ap.parse_args()     if not args.snapshot.exists():        sys.exit(f"snapshot not found: {args.snapshot}")     if not args.i_trust_this_file:        sys.exit(            "refusing to unpickle: pickle.loads is equivalent to executing arbitrary "            "code from the snapshot file. Only proceed if you created/control this "            "file, then re-run with --i-trust-this-file.\n"            f"  file: {args.snapshot}"        )     print(        f"WARNING: unpickling {args.snapshot} — this executes code embedded in the "        "file. Only safe for snapshots you produced yourself.",        file=sys.stderr,    )     # The outer pickle wraps a dict; the inner pickle contains the actual organism    # objects, which must be importable under their original dotted path. If you    # ran a custom driver, make sure its module is on sys.path before calling this.    outer = pickle.loads(args.snapshot.read_bytes())  # noqa: S301 — gated by --i-trust-this-file    if not isinstance(outer, dict) or "population_snapshot" not in outer:        sys.exit("not a darwinian-evolver snapshot (no population_snapshot key)")    inner = pickle.loads(outer["population_snapshot"])  # noqa: S301 — gated by --i-trust-this-file    pairs = inner["organisms"]  # list of (Organism, EvaluationResult)     print(f"# organisms: {len(pairs)}\n")    ranked = sorted(pairs, key=lambda p: getattr(p[1], "score", 0) or 0, reverse=True)    if args.top:        ranked = ranked[: args.top]     for i, (org, res) in enumerate(ranked):        score = getattr(res, "score", float("nan"))        print(f"=== rank {i} score={score:.3f} ===")        # pick field        field = args.field        if field is None:            for k, v in vars(org).items():                if isinstance(v, str) and not k.startswith("_") and k not in {"id",}:                    field = k                    break        val = getattr(org, field, None) if field else None        if val is None:            print(f"  (no string field; org fields: {list(vars(org).keys())})")        else:            print(f"  {field} ({len(val)} chars):")            for ln in val.splitlines()[:30]:                print(f"    {ln}")        print()    return 0  if __name__ == "__main__":    sys.exit(main()) 
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