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#!/usr/bin/env python3 | ||
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from plotnine.themes.theme_gray import theme_gray | ||
from plotnine.themes.theme import theme | ||
from plotnine.themes.elements import (element_line, element_rect, | ||
element_text, element_blank) | ||
import sys | ||
import pandas as pd | ||
import numpy as np | ||
import plotnine as p9 | ||
import re | ||
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from plotnine import * | ||
from plotnine.data import * | ||
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import warnings | ||
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from io import BytesIO | ||
from math import log10 | ||
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# this is the width of a column in the latex template | ||
LATEX_TEMPLATE_COLUMNWIDTH = 2.6 | ||
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# the unit of the latex template column width | ||
LATEX_TEMPLATE_COLUMNWDITH_UNIT = 'in' | ||
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# this is the width of the plot | ||
PLOT_WIDTH = LATEX_TEMPLATE_COLUMNWIDTH / 2 | ||
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# this is the size unit | ||
PLOT_SIZE_UNIT = LATEX_TEMPLATE_COLUMNWDITH_UNIT | ||
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# this is the ration of the plot | ||
PLOT_ASPECT_RATIO = 16/12 / 1.4 | ||
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# this is the plot height | ||
PLOT_HEIGHT = PLOT_WIDTH/PLOT_ASPECT_RATIO | ||
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# What machine, max cores, sockets, revision | ||
MACHINES = [('skylake4x', 192, 4, '4b3c410')] | ||
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class theme_my538(theme_gray): | ||
def __init__(self, base_size=7, base_family='DejaVu Serif'): | ||
theme_gray.__init__(self, base_size) | ||
bgcolor = '#FFFFFF' | ||
self.add_theme( | ||
theme( | ||
# strip_margin=0, | ||
# strip_margin_x=0, | ||
# strip_margin_y=0, | ||
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legend_box_margin=0, | ||
legend_margin=0, | ||
axis_title=element_text(size=base_size), | ||
axis_title_y=element_text(size=base_size, margin={'l': 0, 'r': 0}), | ||
axis_text_x=element_text(size=base_size, margin={'t': 12}), | ||
axis_text_y=element_text(size=base_size, margin={'r': 30}), | ||
axis_ticks_length=0, | ||
axis_ticks=element_line(size=0.5), | ||
title=element_text(color='#3C3C3C'), | ||
legend_text=element_text(size=base_size-1), | ||
legend_background=element_rect(fill='None', color='#000000', | ||
size=0.2, linetype='None'), | ||
legend_key=element_rect(fill='#FFFFFF', colour=None), | ||
panel_background=element_rect(fill=bgcolor), | ||
panel_border=element_line(size=0.2), | ||
#panel_grid_major=element_line( | ||
#color='#E5E5E5', linetype='solid', size=0.5), | ||
panel_grid_major=element_blank(), | ||
panel_grid_minor=element_blank(), | ||
panel_spacing=0.02, | ||
plot_background=element_rect( | ||
fill=bgcolor, color=bgcolor, size=1), | ||
plot_margin=0.04, | ||
strip_background=element_rect(fill='#FFFFFF', size=0.2)) | ||
# ,inplace=True | ||
) | ||
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def error_times_plot(df, i): | ||
aest = aes(x='tool', | ||
y='time (s)', | ||
fill='mode' | ||
) | ||
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p = ( | ||
ggplot(data=df, | ||
mapping=aest) + | ||
scale_fill_manual(['#999', 'blue']) + | ||
geom_col(stat='identity', position='dodge', linetype='solid') + | ||
theme_my538() + | ||
theme(legend_position='none', | ||
legend_title=element_blank(), | ||
axis_text_x=element_text(angle=70, hjust=1)) + | ||
xlab('') + | ||
# scale_y_log10() + | ||
ggtitle('function: ' + ('pop' if i == 1 else 'index')) | ||
) | ||
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# aest = aes(x='count', | ||
# y='time', | ||
# color='tool', | ||
# shape='tool') | ||
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# p = ( | ||
# ggplot(data=df, | ||
# mapping=aest) + | ||
# theme_my538() + | ||
# coord_cartesian(ylim=(log10(0.1), log10(100)), expand=True) + | ||
# theme(legend_position='left', legend_title=element_blank(), legend_direction='vertical', legend_box='horizontal') + | ||
# geom_line() + geom_point() + | ||
# ylab('time (sec)') + xlab('pushes') | ||
# ) | ||
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# p.save(f"error-times-{i}.png", | ||
# dpi=300, width=PLOT_WIDTH, height=PLOT_HEIGHT, | ||
# units=PLOT_SIZE_UNIT) | ||
p.save(f"error-times-{i}.pdf", | ||
dpi=300, width=PLOT_WIDTH, height=PLOT_HEIGHT, | ||
units=PLOT_SIZE_UNIT) | ||
# p.save(f"error-times-{i}.pgf", | ||
# dpi=300, width=PLOT_WIDTH, height=PLOT_HEIGHT, | ||
# units=PLOT_SIZE_UNIT) | ||
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if __name__ == '__main__': | ||
warnings.filterwarnings('ignore') | ||
pd.set_option('display.max_rows', 500) | ||
pd.set_option('display.max_columns', 500) | ||
pd.set_option('display.width', 1000) | ||
pd.set_option('display.expand_frame_repr', True) | ||
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df = pd.read_csv("linked-list-errors.csv", header=None) | ||
df = df.rename(columns={df.columns[0]: "mode", df.columns[1]: "case", df.columns[2]: "tool", df.columns[3]: "time (s)"}) | ||
df['tool'] = df['tool'].replace('Fstarlowstar', 'F*') | ||
df_tools = ['Verus', 'Creusot', 'Dafny', 'F*', 'Prusti'] | ||
# df['index'] = df.index | ||
tools_cat = pd.Categorical(df['tool'], categories=df_tools) | ||
df['mode'] = df['mode'].replace('base', 'success') | ||
print(df) | ||
df['mode'] = pd.Categorical(df['mode'], categories=['success', 'error']) | ||
df = df.assign(tool = tools_cat) | ||
df1 = df[df['case'] == 1] | ||
df2 = df[df['case'] == 2] | ||
print(df1) | ||
print(df2) | ||
# df_pivot = df.pivot(index=df.columns[0], columns=df.columns[1]) | ||
error_times_plot(df1, 1) | ||
error_times_plot(df2, 2) | ||
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