def run_single_simulation_for_multiprocessing(args_and_kwargs):
args, kwargs = args_and_kwargs
create_plots, seed, args_for_simulation = args[0], args[1], args[2:]
set_up_logging('out.log')
info('##### Task is:', args_and_kwargs)
return SingleSimulationRunner(create_plots, seed).run_single_simulation(
*args_for_simulation, **kwargs)
mdl_scores = [x.get_mdl() for x in result_hypotheses]
print(f"Mean MDL: {np.mean(mdl_scores)}, std {np.std(mdl_scores)}")
best_hypothesis_idx = np.argmin(mdl_scores)
best_hypothesis = result_hypotheses[best_hypothesis_idx]
best_hypothesis_dir = str(
pathlib.Path(output_dirs[best_hypothesis_idx]).parent)
print(f"Best hypothesis dir: {best_hypothesis_dir}")
best_hypothesis.plot_transitions('H_best', best_hypothesis_dir)
return total_success
if __name__ == '__main__':
# ============> FOR REPRODUCIBILITY, YOU MUST SET PYTHONHASHSEED=0 IN ENV BEFORE RUNNING <==========
set_up_logging('out.log')
also_plot = True
info(
'-------------- STARTING BATCH OF SIMULATIONS WITH BASE SEED %s ---------'
% _BASE_SEED)
# run_batch(also_plot, base_seed, 'BETWEEN_WITH_DYNAMIC_UNIVERSE_SIZE', initial_temperature=100, threshold=1.0, alpha=0.99,
# num_simulations=10, min_set_size=5, max_set_size=30, number_of_pairs=30)
min_set_size = 5
max_set_size = 61
number_of_pairs = 100
data = make_list_of_set_pairs_for_quantifier_none(
min_set_size=min_set_size,
max_set_size=max_set_size,
number_of_pairs=number_of_pairs)