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Use LLMs to generate corpus #482 #958

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18 changes: 17 additions & 1 deletion run_all_experiments.py
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Original file line number Diff line number Diff line change
Expand Up @@ -271,12 +271,20 @@ def parse_args() -> argparse.Namespace:
'--agent',
action='store_true',
default=False,
help='Enables agent enhancement.')
help='Run experiment using the agent framework.')
parser.add_argument('-mr',
'--max-round',
type=int,
default=100,
help='Max trial round for agents.')
parser.add_argument(
'--generate-seeds', action='store_true', default=False,
help='Use LLM to generate a seed corpus creation script for each target.')
parser.add_argument(
'--seed-generation-mode',
choices=['script', 'direct'],
default='script',
help="Method for LLM seed generation: 'script' (generates python script) or 'direct' (generates file content).")

args = parser.parse_args()
if args.num_samples:
Expand Down Expand Up @@ -616,6 +624,14 @@ def main():
coverage_gain_dict = _process_total_coverage_gain()
_print_experiment_results(experiment_results, coverage_gain_dict)

# Set the environment variable if the flag is present
if args.generate_seeds:
os.environ['LLM_GENERATE_CORPUS'] = '1'
else:
# Ensure it's unset if the flag is not provided
if 'LLM_GENERATE_CORPUS' in os.environ:
del os.environ['LLM_GENERATE_CORPUS']


if __name__ == '__main__':
sys.exit(main())