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119 lines
4.2 KiB
Python
119 lines
4.2 KiB
Python
import os
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import argparse
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from simple import run_simple
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from reflexion import run_reflexion
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from reflexion_ucs import run_reflexion_ucs
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from utils import read_jsonl, read_jsonl_gz
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def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument("--run_name", type=str, help="The name of the run")
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parser.add_argument("--root_dir", type=str,
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help="The root logging directory", default="root")
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parser.add_argument("--dataset_path", type=str,
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help="The path to the benchmark dataset", default="root")
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parser.add_argument("--strategy", type=str,
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help="Strategy: `simple`, `reflexion`")
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parser.add_argument("--language", type=str, help="Strategy: `py` or `rs`")
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parser.add_argument(
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"--model", type=str, help="OpenAI models only for now. For best results, use GPT-4")
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parser.add_argument("--pass_at_k", type=int,
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help="Pass@k metric", default=1)
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parser.add_argument("--max_iters", type=int,
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help="The maximum number of self-improvement iterations", default=10)
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parser.add_argument("--expansion_factor", type=int,
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help="The expansion factor for the reflexion UCS and A* strategy", default=3)
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parser.add_argument("--verbose", action='store_true',
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help="To print live logs")
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# TODO: implement this
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# parser.add_argument("--is_resume", action='store_true', help="To resume run")
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# parser.add_argument("--resume_dir", type=str, help="If resume, the logging directory", default="")
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args = parser.parse_args()
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return args
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def main(args):
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# check if the root dir exists and create it if not
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if not os.path.exists(args.root_dir):
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os.makedirs(args.root_dir)
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# get the dataset name
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dataset_name = os.path.basename(args.dataset_path).replace("jsonl", "")
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# check if log path already exists
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log_dir = os.path.join(args.root_dir, args.run_name)
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log_path = os.path.join(
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log_dir, f"{dataset_name}_{args.strategy}_{args.max_iters}_{args.model}_pass_at_k_{args.pass_at_k}_{args.language}.jsonl")
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if not os.path.exists(log_dir):
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os.makedirs(log_dir)
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if os.path.exists(log_path):
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raise ValueError(
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f"Log path `{log_path}` already exists in `{log_dir}`")
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# check if the strategy is valid
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if args.strategy not in ["simple", "reflexion", "reflexion-ucs"]:
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raise ValueError(f"Strategy `{args.strategy}` is not supported")
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# print starting message
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if args.verbose:
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print(f"""
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Starting run with the following parameters:
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strategy: {args.strategy}
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pass@k: {args.pass_at_k}
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""")
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else:
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print(f"Logs will be saved in `{log_dir}`")
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# load the dataset
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print(f'Loading the dataset...')
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if args.dataset_path.endswith(".jsonl"):
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dataset = read_jsonl(args.dataset_path)
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elif args.dataset_path.endswith(".jsonl.gz"):
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dataset = read_jsonl_gz(args.dataset_path)
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else:
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raise ValueError(
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f"Dataset path `{args.dataset_path}` is not supported")
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print(f"Loaded {len(dataset)} examples")
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# start the run
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# evaluate with pass@k
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if args.strategy == "simple":
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run_simple(
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dataset=dataset,
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model=args.model,
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language=args.language,
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pass_at_k=args.pass_at_k,
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log_path=log_path,
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verbose=args.verbose
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)
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elif args.strategy == "reflexion":
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run_reflexion(
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dataset=dataset,
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model=args.model,
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language=args.language,
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max_iters=args.max_iters,
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pass_at_k=args.pass_at_k,
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log_path=log_path,
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verbose=args.verbose
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)
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elif args.strategy == "reflexion-ucs":
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run_reflexion_ucs(
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dataset=dataset,
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model=args.model,
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language=args.language,
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max_iters=args.max_iters,
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pass_at_k=args.pass_at_k,
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log_path=log_path,
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verbose=args.verbose,
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expansion_factor=args.expansion_factor
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)
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print(f"Done! Check out the logs in `{log_path}`")
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if __name__ == "__main__":
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args = get_args()
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main(args)
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