69 lines
1.9 KiB
Python
69 lines
1.9 KiB
Python
#!/usr/bin/env python3
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# Copyright 2022 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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"""Hacky script to read RTT output from crypto_bench and plot it."""
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import matplotlib.pyplot as plt
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import numpy as np
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def read_file(filename):
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with open(filename, "r", encoding="utf-8") as f:
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lines = f.readlines()
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return [float(l[:-2]) for l in lines]
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def below_threshold(data, threshold=10.):
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a = np.array(data)
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return np.mean(a / 1000. < threshold)
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def percentiles(data):
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s = sorted(data)
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l = len(s)
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for i in range(10):
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print(f"{i * 10}th percentile: {s[(i * l) // 10]}")
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def show_plot(data, title):
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threshold_ratio = below_threshold(data)
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if threshold_ratio < 0.9999:
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max_range = min(max(data), 2 * 10. * 1000)
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hist_range = (0, max_range)
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else:
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hist_range = None
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plt.hist(data, bins=50, range=hist_range, label="Timing distribution")
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mean = np.mean(data)
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plt.axvline(x=mean, color="g", label="Mean")
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if threshold_ratio < 0.9999:
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plt.axvline(x=10. * 1000, color="r", label="CTAP threshold")
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plt.title(title)
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plt.legend()
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plt.savefig(title.replace(" ", "") + "_plot.png")
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plt.show()
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def run(filename, title):
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data = read_file(filename)
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print(title, "below 10s:", below_threshold(data))
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print("Mean:", np.mean(data))
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percentiles(data)
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show_plot(data, title)
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run("make_durations.txt", "MakeCredential")
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run("get_durations.txt", "GetAssertion")
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