#!/usr/bin/env python """Focused KSL+CASL+NSL wrapper for the Exp8-v2 unified encoder. The base Exp8 collector can see every local stream. This wrapper restricts a run to the paper-facing focused setting: - languages: KSL, CASL, NSL - modes: pose-only, RGB/image-only, or multimodal - no GSL Health sentence task unless explicitly added through base args It preserves the Exp8-v2 model, losses, metrics, and result JSON format. """ from __future__ import annotations import argparse import sys from pathlib import Path from typing import Sequence ROOT = Path(__file__).resolve().parents[1] sys.path.insert(0, str(ROOT)) from experiments import exp8_unified_mixed_encoder as exp8 # noqa: E402 from experiments import exp8_v2_strong_unified_encoder as exp8_v2 # noqa: E402 def parse_focus_args(argv: Sequence[str]) -> tuple[argparse.Namespace, list[str]]: parser = argparse.ArgumentParser(add_help=False) parser.add_argument("--focus-mode", choices=["pose", "rgb", "multimodal"], default="multimodal") parser.add_argument("--focus-languages", nargs="+", default=["casl", "ksl", "nsi"]) parser.add_argument( "--require-eval-split", action="store_true", default=True, help="Drop train-only focused tasks from evaluation-oriented runs.", ) parser.add_argument("--allow-train-only", dest="require_eval_split", action="store_false") return parser.parse_known_args(argv) def main() -> None: focus_args, remaining = parse_focus_args(sys.argv[1:]) sys.argv = [sys.argv[0], *remaining] wanted_langs = {lang.lower() for lang in focus_args.focus_languages} mode = focus_args.focus_mode original_collect_tasks = exp8.collect_tasks def focused_collect_tasks(args: argparse.Namespace) -> list[exp8.TaskSpec]: tasks = original_collect_tasks(args) focused: list[exp8.TaskSpec] = [] for task in tasks: lang = task.language_code.lower() if lang not in wanted_langs: continue if mode == "pose" and task.modality != "pose": continue if mode == "rgb" and task.modality != "rgb": continue if mode == "multimodal" and task.modality not in {"pose", "rgb"}: continue if focus_args.require_eval_split and not (task.val_rows or task.test_rows): continue focused.append(task) if not focused: raise SystemExit( f"No tasks left after focus filtering: mode={mode}, languages={sorted(wanted_langs)}. " "Check manifests and local data." ) return focused exp8.collect_tasks = focused_collect_tasks exp8_v2.main() if __name__ == "__main__": main()