Commit a96b10e7 authored by Hans Vrapi's avatar Hans Vrapi
Browse files

rename directory

parent fd7a1efa
......@@ -23,8 +23,8 @@
## alarm-red-green-plots
- contains all data relevant to construct the 2D and 3D graphs for alarm
## generated_plots
- contains all the generated plots (also included in the paper)
## generated_files
- contains all the generated plots (also included in the paper) and the PLA table for win95pts
## output
- contains the output data for the specific threshhold values (e.g. 0.3 for hailfinder)
......
......@@ -5,7 +5,7 @@ flag=$1
#create 2D plot
python3 scripts/create_2D_graph.py $flag
cd generated_plots
cd generated_files
pdflatex --enable-write18 --extra-mem-top=100000000 --synctex=1 ../alarm-red-green-plots/2D/alarm_pla_graph_2D.tex
rm alarm_pla_graph_2D.aux
rm alarm_pla_graph_2D.log
......@@ -14,7 +14,7 @@ cd ..
#create 3D plot
python3 scripts/create_3D_graph.py $flag
cd generated_plots
cd generated_files
pdflatex --enable-write18 --extra-mem-top=100000000 --synctex=1 ../alarm-red-green-plots/3D/alarm_pla_graph_3D.tex
rm alarm_pla_graph_3D.aux
rm alarm_pla_graph_3D.log
......@@ -23,7 +23,7 @@ cd ..
#run experiments for the networks 'win95pts', 'hailfinder', 'hepar2'
python3 scripts/run_pla_experiments.py $flag
cd generated_plots
cd generated_files
pdflatex ../scripts/pla_plot.tex
rm pla_plot.aux
rm pla_plot.log
......
......@@ -19,7 +19,7 @@ def make_pla_table():
mem = mem.replace('\n', '')
df = pd.DataFrame([[coverage, sat, unsat, unknown, regions, time, mem]],columns=['coverage','accepting(%)','rejecting(%)', 'unknown(%)', '#regions', 'time', 'mem'])
data = pd.concat([data,df],ignore_index=True)
data.to_csv('table.csv', index=False)
data.to_csv('generated_files/PLA_table.csv', index=False)
print(data.tail(16))
if __name__ == "__main__":
......
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