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import glob
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from pylab import *
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import brewer2mpl
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import numpy as np
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import sys
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import math
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import gzip
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import matplotlib.gridspec as gridspec
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from collections import defaultdict
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from matplotlib import pyplot as plt
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bmap = brewer2mpl.get_map('Set2', 'qualitative', 7)
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colors = bmap.mpl_colors
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params = {
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'axes.labelsize': 8,
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'legend.fontsize': 10,
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'xtick.labelsize': 10,
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'ytick.labelsize': 10,
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'text.usetex': False,
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'figure.figsize': [6, 8]
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}
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rcParams.update(params)
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def customize_axis(ax):
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['left'].set_visible(False)
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ax.get_xaxis().tick_bottom()
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ax.tick_params(axis='y', length=0)
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for spine in ax.spines.values():
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spine.set_position(('outward', 5))
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ax.set_axisbelow(True)
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ax.grid(axis='y', color="0.9", linestyle='--', linewidth=1)
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fig = figure(frameon=False)
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ax1 = fig.add_subplot(311)
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k = 0
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for i in sys.argv[1:]:
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data = np.loadtxt(i)
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ax1.plot(data[:,0], data[:, 1], '-', linewidth=2, color=colors[k], label=i)
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k += 1
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ax1.set_title('Coverage')
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customize_axis(ax1)
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ax2 = fig.add_subplot(312)
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k = 0
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for i in sys.argv[1:]:
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data = np.loadtxt(i)
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ax2.plot(data[:,0], data[:, 3], '-', linewidth=2, color=colors[k], label=i)
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k += 1
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ax2.set_title('Mean fitness')
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customize_axis(ax2)
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ax3 = fig.add_subplot(313)
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ax3.grid(axis='y', color="0.9", linestyle='--', linewidth=1)
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k = 0
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for i in sys.argv[1:]:
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data = np.loadtxt(i)
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ax3.plot(data[:,0], data[:, 2], '-', linewidth=2, color=colors[k], label=i)
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k += 1
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ax3.set_title('Max fitness')
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customize_axis(ax3)
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legend = ax1.legend(loc=4)
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frame = legend.get_frame()
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frame.set_facecolor('0.9')
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frame.set_edgecolor('1.0')
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fig.tight_layout()
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fig.savefig('progress.pdf')
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fig.savefig('progress.svg')
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