2017-09-21 12:40:38 -04:00
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#!/usr/bin/env python3
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import matplotlib.pyplot as plt
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import numpy as np
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text = """
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default : 010f52ef
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dspi-8 : 008dc82f
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dspi-7 : 008d6d63
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dspi-6 : 008d1297
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dspi-5 : 008cb7cb
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dspi-4 : 008c5cff
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dspi-3 : 008c0233
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dspi-2 : 008ba767
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dspi-1 : 008b4c9b
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dspi-crm-8 : 008af1cf
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dspi-crm-7 : 008a9703
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dspi-crm-6 : 008a3c37
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dspi-crm-5 : 0089e16b
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dspi-crm-4 : 0089869f
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dspi-crm-3 : 00892bd3
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dspi-crm-2 : 0088d107
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dspi-crm-1 : 0088763b
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qspi-8 : 004a2c6f
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qspi-7 : 0049d1a3
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qspi-6 : 004976d7
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qspi-5 : 00491c0b
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qspi-4 : 0048c13f
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qspi-3 : 00486673
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qspi-2 : 00480ba7
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qspi-1 : 0047b0db
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qspi-crm-8 : 0047560f
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qspi-crm-7 : 0046fb43
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qspi-crm-6 : 0046a077
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qspi-crm-5 : 004645ab
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qspi-crm-4 : 0045eadf
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qspi-crm-3 : 00459013
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qspi-crm-2 : 00453547
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qspi-crm-1 : 0044da7b
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qspi-ddr-8 : 00288bf5
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qspi-ddr-7 : 00283129
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qspi-ddr-6 : 0027d65d
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qspi-ddr-5 : 00277b91
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qspi-ddr-4 : 002720c5
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qspi-ddr-3 : 0026c5f9
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qspi-ddr-2 : 00266b2d
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qspi-ddr-1 : 00261061
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qspi-ddr-crm-8 : 0025b595
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qspi-ddr-crm-7 : 00255ac9
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qspi-ddr-crm-6 : 0024fffd
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qspi-ddr-crm-5 : 0024a531
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qspi-ddr-crm-4 : 00244a65
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qspi-ddr-crm-3 : 0023ef99
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qspi-ddr-crm-2 : 002394cd
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qspi-ddr-crm-1 : 00233a01
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"""
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labels = list()
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values = list()
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for line in text.split("\n"):
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if line != "":
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line = line.split()
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labels.append(line[0])
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values.append(int(line[2], 16))
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2017-09-21 12:46:09 -04:00
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plt.figure(figsize=(10, 5))
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2017-09-21 12:40:38 -04:00
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plt.title("Performance comparison for different PicoSoC SPI flash configurations")
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plt.plot(range(len(labels)), values[0] / np.array(values))
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2017-09-21 12:46:09 -04:00
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plt.xticks(range(len(labels)), labels, rotation=80)
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2017-09-21 12:40:38 -04:00
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for color, x1, x2 in [["black", 0, 0], ["red", 1, 8], ["green", 9, 16],
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["red", 17, 24], ["green", 25, 32], ["red", 33, 40], ["green", 41, 48]]:
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for t in plt.axes().xaxis.get_ticklabels()[x1:x2+1]:
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t.set_color(color)
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plt.plot([x1, x1], [0, values[0] / values[x1] - 0.2], color=color)
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plt.plot([x2, x2], [0, values[0] / values[x2] - 0.2], color=color)
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plt.plot([x1], [values[0] / values[x1]], "k.")
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plt.plot([x2], [values[0] / values[x2]], "k.")
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plt.xlim(-1, len(values))
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plt.ylim(0, 9)
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plt.grid()
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2017-09-21 12:46:09 -04:00
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plt.gcf().subplots_adjust(bottom=0.3)
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2017-09-21 12:40:38 -04:00
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plt.savefig("performance.png")
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# plt.show()
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