# functions avaliable in AAI-experiments_SPN.py
# analysis code avaliable in analysis.py

# data for figure4,figure7 and table1: MAP/MAR with different datasets, exponent bits, mantisssa bits, accuracy/error results 
avaliable in MAP_MAR_data.csv

# data for figure 6 and table4:
avaliable in replacement.csv

# data for figure8
use 'numerical_loss_before' for plot of before error correction 
python3 analysis.py
# data for figure9
use data in folder test_results_mar 
python3 analysis.py

# to recreate the data
# run MAP/MAR with different exponent bits, mantisssa bits:
sbatch run.sh 
results are saved in ./results


# run replacement:
sbatch run_replacement.sh 
results are saved in ./results

# to resampling
sbatch run_sample.sh 

 