update plot scripts

scripts/plot-results.py

@@ -698,7 +698,7 @@ df = pd.read_csv(csv_file)
 df['tool'] = df[['tool', 'strategy', 'num_nodes', 'num_threads']].astype(str).apply('_'.join, axis=1)
 df = df.drop(columns=['strategy', 'num_nodes', 'num_threads'])
 
-# filtering philo20 experiments
+# FIX: filtering philo20 experiments because there is a problem with the generated formulas
 df = df[df.model != "philo20"]
 df
 
@@ -706,30 +706,14 @@ df
 # In[13]:
 
 
-# Found errors
-errors_found = df.error.unique()
-errors_found
-
-
-# In[14]:
-
-
-# filtering errors
-df = df[(df.error != "SEGMENTATION FAULT") & (df.error != "ABORTED") & (df.error != "TERMINATE") & (df.error != "MDD")]
+# filtering runtime errors
+df = df[(df.error != "SEGMENTATION FAULT") &         (df.error != "ABORTED") &         (df.error != "TERMINATE") &         (df.error != "MDD")]
 
 df = df.reset_index(drop=True)
 df
 
 
-# In[15]:
-
-
-# Found errors
-errors_found = df.error.unique()
-errors_found
-
-
-# In[16]:
+# In[14]:
 
 
 # ground truth for properties
@@ -753,7 +737,7 @@ p_df.sort_index(inplace=True)
 p_df
 
 
-# In[17]:
+# In[15]:
 
 
 # table with times, verification output and error for each experiment
@@ -763,7 +747,7 @@ table
 
 # # Preprocessing of data
 
-# In[18]:
+# In[16]:
 
 
 # table with times for each experiment
@@ -781,7 +765,7 @@ table_time = pd.concat([table_time, p_df], axis=1)
 table_time
 
 
-# In[19]:
+# In[17]:
 
 
 # table with verification output for each experiment
@@ -796,7 +780,7 @@ table_property = pd.concat([table_property, p_df], axis=1)
 table_property.head()
 
 
-# In[20]:
+# In[18]:
 
 
 # table with error for each experiment
@@ -805,7 +789,7 @@ table_error = table['error'].copy()
 table_error.head()
 
 
-# In[21]:
+# In[19]:
 
 
 # table with explored states for each experiment using ltsmin
@@ -823,7 +807,7 @@ table_explored_states = table_explored_states.reset_index()
 table_explored_states.head()
 
 
-# In[22]:
+# In[20]:
 
 
 # calculate the stats of the number of explored states
@@ -835,10 +819,10 @@ table_explored_states_stats.head()
 
 # # Examples
 
-# In[23]:
+# In[25]:
 
 
-create_figure_explored_states(table_explored_states, 'spool5')
+create_figure_explored_states(table_explored_states, 'robot50')
 
 
 # In[24]:
@@ -847,7 +831,7 @@ create_figure_explored_states(table_explored_states, 'spool5')
 create_figure(df, "robot50")
 
 
-# In[25]:
+# In[23]:
 
 
 log_figure = create_log_figure(table_time, table_error, "robot50", "pmc-sog_otf_couv99-default_2_16", "pnml2lts-mc_dfs_1_16", True, open_logs_callback)
@@ -873,7 +857,7 @@ models = df.model.unique()
 tools = df.tool.unique()
 
 
-# In[29]:
+# In[ ]:
 
 
 # create all the figures of explored states
@@ -892,7 +876,7 @@ for model in models:
         print("Error: {} was not plotted".format(model))
 
 
-# In[30]:
+# In[ ]:
 
 
 # create all the figures formula vs time
@@ -911,7 +895,7 @@ for model in models:
         print("Error: {} was not plotted".format(model))
 
 
-# In[31]:
+# In[ ]:
 
 
 # create all the log figures