Create entrypoint.py
Browse files- scripts/entrypoint.py +83 -0
scripts/entrypoint.py
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"""
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Headless entrypoint for running a single experiment or a sweep.
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Usage:
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python scripts/entrypoint.py --task example1 --out_dir experiments
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python scripts/entrypoint.py --task example1 --out_dir experiments --use_wandb
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By default Weights & Biases logging is disabled. Use --use_wandb to enable it.
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"""
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import argparse
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import json
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import os
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import importlib
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def main():
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parser = argparse.ArgumentParser(description="Run ARC-AGI experiment (headless).")
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parser.add_argument("--task", type=str, required=True, help="Task name or path to task JSON")
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parser.add_argument("--out_dir", type=str, default="experiments", help="Output directory")
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parser.add_argument("--use_wandb", action="store_true", help="Enable Weights & Biases logging (default: off)")
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parser.add_argument("--params", type=str, default=None, help="Optional JSON string of params")
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args = parser.parse_args()
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os.makedirs(args.out_dir, exist_ok=True)
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# lazy imports to avoid heavy startup cost
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import itt_solver.experiment_driver as ed
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import itt_solver.solver_core as sc
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# load task: if args.task is a JSON file path, load it; otherwise expect a built-in name
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if os.path.exists(args.task):
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with open(args.task) as fh:
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task = json.load(fh)
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else:
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# minimal built-in example if user passed 'example1'
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if args.task == "example1":
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task = {
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'name': 'example1',
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'input': [[0,7,7],[7,7,7],[0,7,7]],
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'target': [
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[0,0,0,0,7,7,0,7,7],
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[0,0,0,7,7,7,7,7,7],
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[0,0,0,0,7,7,0,7,7],
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[0,7,7,0,7,7,0,7,7],
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[7,7,7,7,7,7,7,7,7],
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[0,7,7,0,7,7,0,7,7],
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[0,0,0,0,7,7,0,7,7],
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[0,7,7,0,7,7,0,7,7],
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[0,0,0,0,7,7,0,7,7],
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],
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'target_shape': (9,9)
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}
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else:
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raise SystemExit(f"Unknown task identifier: {args.task}")
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# parse params if provided
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params = {}
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if args.params:
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try:
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params = json.loads(args.params)
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except Exception:
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print("Warning: could not parse --params JSON; ignoring.")
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# build atomic library using default factory
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atomic_library = ed.default_atomic_factory(params, task)
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# run single experiment
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result = ed.run_single(task, atomic_library, params, out_dir=args.out_dir)
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# optionally run W&B logging externally (only if requested)
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if args.use_wandb:
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try:
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from itt_solver.wandb_runner import run_and_log_wandb
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run_and_log_wandb(task, atomic_library, params, out_dir=args.out_dir,
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wandb_project=params.get('wandb_project','itt_solver'),
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wandb_entity=None, resume="allow")
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except Exception as e:
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print("W&B logging failed or not configured:", e)
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print("Run finished. Result summary:")
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print(json.dumps(result, indent=2))
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if __name__ == "__main__":
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main()
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