Commit 84fa1863 authored by Jaime Arias's avatar Jaime Arias
Browse files

fix: add unit to axis of figures

parent ecd4d8e2
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......@@ -5,7 +5,7 @@
ZERO = 10e-5
TIMEOUT = 10 * 60 # 20 minutes = 1200 seconds
TIMEOUT = 10 * 60 # 10 minutes = 6000 seconds
# In[2]:
......@@ -154,19 +154,19 @@ def get_axis_title(experiment, show_strategy=True):
'otf': 'Hybrid'
}
if (len(information) == 5):
info.append(library_dic[information[1]])
#if (len(information) == 5):
# info.append("mode " + library_dic[information[1]])
if (show_strategy):
info.append('strategy: {}'.format(information[-3]))
#if (show_strategy):
# info.append('strategy: {}'.format(information[-3]))
nb_nodes = int(information[-2])
if (nb_nodes > 1):
if (nb_nodes):
info.append('# nodes: {}'.format(nb_nodes))
info.append('# cores: {}'.format(information[-1]))
title = '{} ({})'.format(tool_name, ', '.join(info))
title = 'Verification time (seconds)<br>{} ({})'.format(tool_name, ', '.join(info))
return title
......@@ -482,9 +482,9 @@ def create_log_figure(table, table_errors, model, tool_x, tool_y, show_strategy=
full_table_x, full_table_y = filter_errors(full_table_x, full_table_y)
traces = [
{"property": 'T', "color":"green"},
{"property": 'F', "color":"red"},
{"property": 'U', "color":"black"}
{"property": 'T', "color":"green", "label": "True"},
{"property": 'F', "color":"red", "label": "False"},
{"property": 'U', "color":"black", "label": "Unknown"}
]
figures = []
......@@ -505,7 +505,7 @@ def create_log_figure(table, table_errors, model, tool_x, tool_y, show_strategy=
figures.append(go.Scatter(x=table_x.time,
y=table_y.time,
name=t['property'],
name=t['label'],
mode='markers',
marker_symbol='circle-open',
marker_color=t['color'],
......@@ -708,14 +708,10 @@ df
# filtering runtime errors
#df = df[(df.error != "SEGMENTATION FAULT") & \
# (df.error != "ABORTED") & \
# (df.error != "TERMINATE") & \
# (df.error != "MDD")]
df = df[(df.error != "SEGMENTATION FAULT") & (df.error != "ABORTED") & (df.error != "TERMINATE") & (df.error != "MDD")]
#df = df.reset_index(drop=True)
#df
df.model.unique()
df = df.reset_index(drop=True)
df
# In[14]:
......@@ -794,7 +790,7 @@ table_error = table['error'].copy()
table_error.head()
# In[21]:
# In[19]:
# table with explored states for each experiment using ltsmin
......@@ -812,7 +808,7 @@ 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
......@@ -824,35 +820,35 @@ table_explored_states_stats.head()
# # Examples
# In[23]:
# In[21]:
create_figure_explored_states(table_explored_states, 'train24')
create_figure_explored_states(table_explored_states, 'robot20')
# In[22]:
create_figure(df, "train24")
create_figure(df, "robot20")
# In[27]:
# In[23]:
log_figure = create_log_figure(table_time, table_error, "train24", "pmc-sog_otfPR_couv99-default_4_8", "pnml2lts-mc_dfs_1_16", True, open_logs_callback)
log_figure = create_log_figure(table_time, table_error, "robot20", "pmc-sog_otf_couv99-shy_2_8", "pnml2lts-mc_dfs_1_16", True, open_logs_callback)
log_figure
# In[30]:
# In[24]:
table = get_table(table_time, table_error, "train24", "pmc-sog_otfPR_couv99-default_4_8", "pnml2lts-mc_dfs_1_16")
table = get_table(table_time, table_error, "robot20", "pmc-sog_otf_couv99-default_2_8", "pnml2lts-mc_dfs_1_16")
table
# # Generate Figures
# In[31]:
# In[ ]:
# models
......@@ -862,26 +858,26 @@ models = df.model.unique()
tools = df.tool.unique()
# In[34]:
# In[ ]:
# create all the figures of explored states
# folder = os.path.join(OUTPUT_FOLDER, 'explored-states')
# create_folder(folder)
folder = os.path.join(OUTPUT_FOLDER, 'explored-states')
create_folder(folder)
# for model in models:
# try:
# fig = create_figure_explored_states(table_explored_states, model)
#
# # save figures in html and pdf
# fig.write_html(os.path.join(folder, model + '.html'), include_plotlyjs='cdn')
# fig.write_image(os.path.join(folder, model + '.pdf'))
# except KeyError:
# print("Error: {} was not plotted".format(model))
for model in models:
try:
fig = create_figure_explored_states(table_explored_states, model)
# save figures in html and pdf
fig.write_html(os.path.join(folder, model + '.html'), include_plotlyjs='cdn')
fig.write_image(os.path.join(folder, model + '.pdf'))
except KeyError:
print("Error: {} was not plotted".format(model))
# In[35]:
# In[ ]:
# create all the figures formula vs time
......@@ -900,7 +896,7 @@ for model in models:
print("Error: {} was not plotted".format(model))
# In[36]:
# In[ ]:
# create all the log figures
......
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