Created gh-images branch for storing images

2019-03-31 20:42:17 -05:00
commit 405c1ab6e3
6 changed files with 4210 additions and 0 deletions
@@ -0,0 +1,52 @@
+#!/usr/bin/env python
+
+import matplotlib
+matplotlib.use('SVG')
+import matplotlib.pyplot as plt
+import matplotlib.gridspec as gridspec
+import numpy as np
+
+matplotlib.rc('font', family='sans-serif', size=11)
+matplotlib.rc('axes', titlesize='medium', labelsize='medium')
+matplotlib.rc('xtick', labelsize='small')
+matplotlib.rc('ytick', labelsize='small')
+
+np.random.seed(map(ord, "hello"))
+
+gs = gridspec.GridSpec(nrows=2, ncols=2, height_ratios=[1, 2],
+        wspace=0.25, hspace=0.25)
+
+fig = plt.figure(figsize=(7, 5.5))
+ax1 = fig.add_subplot(gs[0, 0])
+ax2 = fig.add_subplot(gs[0, 1], sharex=ax1, sharey=ax1)
+ax3 = fig.add_subplot(gs[1, :])
+
+# Convolution (I think?) of two types of uniform distributions under modulo
+w1 = np.random.randint(0, 100, 30)
+w2 = np.arange(0, 30, 1)
+w3 = np.array([w2 + i for i in w1]).flatten() % 100
+
+ax1.hist(w1, bins=100, range=(0,100), histtype='stepfilled')
+ax2.hist(w2, bins=100, range=(0,100), histtype='stepfilled')
+ax3.hist(w3, bins=100, range=(0,100), histtype='stepfilled')
+
+ax1.set_title('Random offset')
+ax2.set_title('Linear allocation')
+ax3.set_title('Cumulative allocation')
+
+ax1.set_ylabel('wear')
+ax1.set_yticks(np.arange(0, 3))
+ax3.set_ylabel('wear')
+ax3.set_xlabel('block address')
+
+for ax in [ax1,ax2,ax3]:
+    ax.set_xlim(0, 100)
+    ax.set_xticklabels([])
+    ax.set_yticklabels([])
+    ax.spines['right'].set_visible(False)
+    ax.spines['top'].set_visible(False)
+
+ax1.text(109.25, 1, '$\\ast$')
+
+fig.tight_layout()
+plt.savefig('wear-distribution.svg', bbox_inches="tight")