Created
April 25, 2017 23:26
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#!/usr/bin/env python | |
from __future__ import division | |
import argparse | |
from collections import defaultdict, OrderedDict | |
import json | |
import matplotlib.pyplot as plt | |
from matplotlib.ticker import FuncFormatter | |
from operator import itemgetter | |
import numpy as np | |
import math | |
import os | |
import random | |
import re | |
import sys | |
from pprint import pprint | |
from cStringIO import StringIO | |
colors = { | |
'8 + 16': 'blue', | |
'2x(8 + 4)': 'green', | |
'2x8 + 8': 'red', | |
'3x8 + 0': 'black', | |
} | |
graphs = ( | |
('global', 'Global Durability\n(%s)', lambda x: x['can_reconstruct']), | |
('regional', 'Per-Region Durability\n(%s)', | |
lambda x: x['per_region']['can_reconstruct']), | |
) | |
for j, name in enumerate(('isa_l_rs_vand', 'isa_l_rs_cauchy')): | |
with open('%s.json' % name, 'rb') as fp: | |
df = json.load(fp, object_pairs_hook=OrderedDict) | |
for i, (mode, title, extractor) in enumerate(graphs): | |
plt.figure(j*len(graphs) + i) | |
plt.title(title % name) | |
plt.xlabel('Partition Failures') | |
plt.ylim([0, 1]) | |
plt.ylabel('P[Can reconstruct]') | |
for label, data in df.items(): | |
data_points = [(int(x), extractor(y)) for x, y in data.items()] | |
plt.plot(*zip(*data_points), label=label, color=colors[label], | |
marker='o', markersize=4) | |
plt.legend() | |
plt.savefig('%s_%s.png' % (name, mode), dpi=100) |
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