Revision dbd56c149072e656ca8d6a43a59588f3e7513da2 authored by Hubert Kario on 29 September 2021, 13:05:34 UTC, committed by GitHub on 29 September 2021, 13:05:34 UTC
ExpectAlert - add __repr__
test_tlsfuzzer_analysis.py
# Author: Jan Koscielniak, (c) 2020
# Released under Gnu GPL v2.0, see LICENSE file for details
try:
import unittest2 as unittest
except ImportError:
import unittest
try:
import mock
except ImportError:
import unittest.mock as mock
import sys
failed_import = False
try:
from tlsfuzzer.analysis import Analysis, main, TestPair, help_msg
import pandas as pd
import numpy as np
except ImportError:
failed_import = True
@unittest.skipIf(failed_import,
"Could not import analysis. Skipping related tests.")
class TestReport(unittest.TestCase):
def setUp(self):
data = {
'A': [0.000758129, 0.000696719, 0.000980079, 0.000988900, 0.000875509,
0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935],
'B': [0.000758130, 0.000696718, 0.000980080, 0.000988899, 0.000875510,
0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935],
'C': [0.000758131, 0.000696717, 0.000980081, 0.000988898, 0.000875511,
0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935]
}
self.neq_data = pd.DataFrame(data={
'A': [0.000758130, 0.000696718, 0.000980080, 0.000988899, 0.000875510,
0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935],
'B': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
})
self.neq_data_overlap = pd.DataFrame(data={
'A': [0, 0, 1, 7, 7] + [7] * 95,
'B': [0, 0, 2, 6, 7] + [7] * 95,
})
timings = pd.DataFrame(data=data)
self.mock_read_csv = mock.Mock()
self.mock_read_csv.return_value = timings
def test_report(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.diff_ecdf_plot") as mock_diff_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.diff_scatter_plot"):
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
analysis = Analysis("/tmp")
ret = analysis.generate_report()
self.mock_read_csv.assert_called()
#mock_ecdf.assert_called_once()
#mock_box.assert_called_once()
#mock_scatter.assert_called_once()
# we're writing to report.csv, legend.csv,
# sample_stats.csv, and report.txt
self.assertEqual(mock_open.call_count, 4)
self.assertEqual(ret, 0)
def test_report_multithreaded(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.diff_scatter_plot"):
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("tlsfuzzer.analysis.Analysis.diff_ecdf_plot"):
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
analysis = Analysis("/tmp",
multithreaded_graph=True)
ret = analysis.generate_report()
self.mock_read_csv.assert_called()
#mock_ecdf.assert_called_once()
#mock_box.assert_called_once()
#mock_scatter.assert_called_once()
# we're writing to report.csv, legend.csv,
# sample_stats.csv, and report.txt
self.assertEqual(mock_open.call_count, 4)
self.assertEqual(ret, 0)
def test_report_neq(self):
timings = pd.DataFrame(data=self.neq_data)
mock_read_csv = mock.Mock()
mock_read_csv.return_value = timings
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.diff_ecdf_plot") as mock_diff_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.diff_scatter_plot"):
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("tlsfuzzer.analysis.Analysis.friedman_test") as mock_friedman:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
mock_friedman.return_value = 0
analysis = Analysis("/tmp")
ret = analysis.generate_report()
mock_read_csv.assert_called()
#mock_ecdf.assert_called_once()
#mock_box.assert_called_once()
#mock_scatter.assert_called_once()
# we're writing to report.csv, legend.csv,
# sample_stats.csv, and report.txt
self.assertEqual(mock_open.call_count, 4)
self.assertEqual(ret, 1)
def test_report_error_in_box_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_box.side_effect = Exception("Test")
analysis = Analysis("/tmp")
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("Box plot graph", str(exc.exception))
def test_report_error_in_scatter_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_scatter.side_effect = Exception("Test")
analysis = Analysis("/tmp")
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("Scatter plot graph", str(exc.exception))
def test_report_error_in_ecdf_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_ecdf.side_effect = Exception("Test")
analysis = Analysis("/tmp")
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("ECDF graph", str(exc.exception))
def test_report_error_in_conf_interval_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_conf_int.side_effect = Exception("Test")
analysis = Analysis("/tmp")
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("Conf interval graph", str(exc.exception))
def test_report_error_in_MT_box_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_box.side_effect = Exception("Test")
analysis = Analysis("/tmp", multithreaded_graph=True)
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("Box plot graph", str(exc.exception))
def test_report_error_in_MT_scatter_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_scatter.side_effect = Exception("Test")
analysis = Analysis("/tmp", multithreaded_graph=True)
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("Scatter plot graph", str(exc.exception))
def test_report_error_in_MT_ecdf_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_ecdf.side_effect = Exception("Test")
analysis = Analysis("/tmp", multithreaded_graph=True)
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("ECDF graph", str(exc.exception))
def test_report_error_in_MT_conf_interval_plot(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
with mock.patch("tlsfuzzer.analysis.Analysis.ecdf_plot") as mock_ecdf:
with mock.patch("tlsfuzzer.analysis.Analysis.box_plot") as mock_box:
with mock.patch("tlsfuzzer.analysis.Analysis.scatter_plot") as mock_scatter:
with mock.patch("tlsfuzzer.analysis.Analysis.conf_interval_plot") as mock_conf_int:
with mock.patch("__main__.__builtins__.open", mock.mock_open()) as mock_open:
with mock.patch("builtins.print"):
with mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary"):
mock_conf_int.side_effect = Exception("Test")
analysis = Analysis("/tmp", multithreaded_graph=True)
with self.assertRaises(Exception) as exc:
ret = analysis.generate_report()
self.assertIn("Conf interval graph", str(exc.exception))
def test_wilcoxon_test(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
analysis = Analysis("/tmp")
self.mock_read_csv.assert_called_once()
res = analysis.wilcoxon_test()
self.assertEqual(len(res), 3)
for index, result in res.items():
self.assertGreaterEqual(result, 0.25)
def test__wilcox_test(self):
pval = Analysis._wilcox_test(self.neq_data.iloc[:,0],
self.neq_data.iloc[:,1])
self.assertGreaterEqual(0.05, pval)
def test_sign_test(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
analysis = Analysis("/tmp")
self.mock_read_csv.assert_called_once()
res = analysis.sign_test()
self.assertEqual(len(res), 3)
for index, result in res.items():
self.assertEqual(result, 1)
def test__sign_test(self):
pval = Analysis._sign_test(self.neq_data.iloc[:, 0],
self.neq_data.iloc[:, 1],
0, "two-sided")
self.assertLess(pval, 0.002)
def test_sign_test_with_alternative_less(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
analysis = Analysis("/tmp")
self.mock_read_csv.assert_called_once()
res = analysis.sign_test(alternative="less")
self.assertEqual(len(res), 3)
for index, result in res.items():
self.assertEqual(result, 0.5)
def test_sign_test_with_alternative_less_and_neq_data(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data") as load_data:
load_data.return_value = self.neq_data
analysis = Analysis("/tmp")
res = analysis.sign_test(alternative="less")
self.assertEqual(len(res), 1)
for index, result in res.items():
self.assertLessEqual(result, 0.001)
def test_sign_test_with_alternative_greater_and_neq_data(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data") as load_data:
load_data.return_value = self.neq_data
analysis = Analysis("/tmp")
res = analysis.sign_test(alternative="greater")
self.assertEqual(len(res), 1)
for index, result in res.items():
self.assertLessEqual(result, 1)
def test_rel_t_test(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
analysis = Analysis("/tmp")
self.mock_read_csv.assert_called_once()
res = analysis.rel_t_test()
self.assertEqual(len(res), 3)
for index, result in res.items():
self.assertGreaterEqual(result, 0.25)
def test__rel_t_test(self):
pval = Analysis._rel_t_test(self.neq_data.iloc[:,0],
self.neq_data.iloc[:,1])
self.assertGreaterEqual(0.05, pval)
def test_box_test(self):
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", self.mock_read_csv):
analysis = Analysis("/tmp")
self.mock_read_csv.assert_called_once()
res = analysis.box_test()
self.assertEqual(len(res), 3)
for index, result in res.items():
self.assertEqual(result, None)
def test_box_test_neq(self):
timings = pd.DataFrame(data=self.neq_data)
mock_read_csv = mock.Mock()
mock_read_csv.return_value = timings
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", mock_read_csv):
analysis = Analysis("/tmp")
res = analysis.box_test()
self.assertEqual(len(res), 1)
for index, result in res.items():
self.assertNotEqual(result, None)
def test_box_test_neq_overlap(self):
timings = pd.DataFrame(data=self.neq_data_overlap)
mock_read_csv = mock.Mock()
mock_read_csv.return_value = timings
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", mock_read_csv):
analysis = Analysis("/tmp")
mock_read_csv.assert_called_once()
res = analysis.box_test()
self.assertEqual(len(res), 1)
for index, result in res.items():
self.assertEqual(result, None)
def test__cent_tend_of_random_sample(self):
diffs = [1, 2, 3, 4, 5, 6, 7, 8, 9]
timings = pd.DataFrame(data=self.neq_data_overlap)
mock_read_csv = mock.Mock()
mock_read_csv.return_value = timings
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", mock_read_csv):
with mock.patch("tlsfuzzer.analysis._diffs", diffs):
analysis = Analysis("/tmp")
vals = analysis._cent_tend_of_random_sample(10)
self.assertEqual(len(vals), 10)
means = [i[0] for i in vals]
avg = sum(means)/len(means)
self.assertLessEqual(avg, 8)
self.assertLessEqual(2, avg)
def test__cent_tend_of_random_sample_with_no_reps(self):
diffs = [1, 2, 3, 4, 5, 6, 7, 8, 9]
timings = pd.DataFrame(data=self.neq_data_overlap)
mock_read_csv = mock.Mock()
mock_read_csv.return_value = timings
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", mock_read_csv):
with mock.patch("tlsfuzzer.analysis._diffs", diffs):
analysis = Analysis("/tmp")
vals = analysis._cent_tend_of_random_sample(0)
self.assertEqual(len(vals), 0)
self.assertEqual(vals, [])
@unittest.skipIf(failed_import,
"Could not import analysis. Skipping related tests.")
class TestPlots(unittest.TestCase):
def setUp(self):
data = {
'A': [0.000758130, 0.000696718, 0.000980080, 0.000988899, 0.000875510,
0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935],
'B': [0.000758130, 0.000696718, 0.000980080, 0.000988899, 0.000875510,
0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935]
}
timings = pd.DataFrame(data=data)
mock_read_csv = mock.Mock()
mock_read_csv.return_value = timings
with mock.patch("tlsfuzzer.analysis.Analysis.load_data", mock_read_csv):
self.analysis = Analysis("/tmp")
self.analysis.load_data = mock_read_csv
def test_ecdf_plot(self):
with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure",
mock.Mock()) as mock_save:
self.analysis.ecdf_plot()
self.assertEqual(mock_save.call_args_list,
[mock.call('/tmp/ecdf_plot.png', bbox_inches='tight'),
mock.call('/tmp/ecdf_plot_zoom_in.png', bbox_inches='tight')])
def test_diff_ecdf_plot(self):
with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure",
mock.Mock()) as mock_save:
self.analysis.diff_ecdf_plot()
self.assertEqual(mock_save.call_args_list,
[mock.call('/tmp/diff_ecdf_plot.png', bbox_inches='tight'),
mock.call('/tmp/diff_ecdf_plot_zoom_in_98.png',
bbox_inches='tight'),
mock.call('/tmp/diff_ecdf_plot_zoom_in_33.png',
bbox_inches='tight'),
mock.call('/tmp/diff_ecdf_plot_zoom_in_10.png',
bbox_inches='tight')])
def test_scatter_plot(self):
with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure",
mock.Mock()) as mock_save:
self.analysis.scatter_plot()
self.assertEqual(mock_save.call_args_list,
[mock.call('/tmp/scatter_plot.png', bbox_inches='tight'),
mock.call('/tmp/scatter_plot_zoom_in.png',
bbox_inches='tight')])
def test_diff_scatter_plot(self):
with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure",
mock.Mock()) as mock_save:
self.analysis.diff_scatter_plot()
self.assertEqual(mock_save.call_args_list,
[mock.call('/tmp/diff_scatter_plot.png', bbox_inches='tight'),
mock.call('/tmp/diff_scatter_plot_zoom_in.png',
bbox_inches='tight')])
def test_box_plot(self):
with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure",
mock.Mock()) as mock_save:
with mock.patch("tlsfuzzer.analysis.Analysis._calc_percentiles")\
as mock_percentiles:
mock_percentiles.return_value = pd.DataFrame(
data={'A': [0.05, 0.25, 0.5, 0.75, 0.95],
'B': [0.55, 0.75, 1, 1.25, 1.45]})
self.analysis.box_plot()
mock_save.assert_called_once()
mock_percentiles.assert_called_once_with()
@mock.patch("tlsfuzzer.analysis.np.memmap")
@mock.patch("tlsfuzzer.analysis.os.remove")
@mock.patch("tlsfuzzer.analysis.shutil.copyfile")
def test__calc_percentiles(self, mock_copyfile, mock_remove, mock_memmap):
mock_memmap.return_value = self.analysis.load_data()
ret = self.analysis._calc_percentiles()
self.assertIsNotNone(ret)
self.assertEqual(ret.values[0, 0], 0.0006691114)
mock_copyfile.assert_called_once_with(
"/tmp/timing.bin", "/tmp/.quantiles.tmp")
mock_remove.assert_called_once_with("/tmp/.quantiles.tmp")
def test_conf_interval_plot(self):
with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure",
mock.Mock()) as mock_save:
with mock.patch("__main__.__builtins__.open", mock.mock_open())\
as mock_open:
self.analysis.conf_interval_plot()
self.assertEqual(mock_save.call_args_list,
[mock.call('/tmp/conf_interval_plot_mean.png',
bbox_inches='tight'),
mock.call('/tmp/conf_interval_plot_median.png',
bbox_inches='tight'),
mock.call('/tmp/conf_interval_plot_trim_mean_05.png',
bbox_inches='tight'),
mock.call('/tmp/conf_interval_plot_trim_mean_25.png',
bbox_inches='tight'),
mock.call('/tmp/conf_interval_plot_trimean.png',
bbox_inches='tight')])
@unittest.skipIf(failed_import,
"Could not import analysis. Skipping related tests.")
class TestCommandLine(unittest.TestCase):
def test_command_line(self):
output = "/tmp"
args = ["analysis.py", "-o", output]
mock_init = mock.Mock()
mock_init.return_value = None
with mock.patch('tlsfuzzer.analysis.Analysis.generate_report') as mock_report:
with mock.patch('tlsfuzzer.analysis.Analysis.__init__', mock_init):
with mock.patch("sys.argv", args):
main()
mock_report.assert_called_once()
mock_init.assert_called_once_with(output, True, True,
True, False)
def test_call_with_multithreaded_plots(self):
output = "/tmp"
args = ["analysis.py", "-o", output, "--multithreaded-graph"]
mock_init = mock.Mock()
mock_init.return_value = None
with mock.patch('tlsfuzzer.analysis.Analysis.generate_report') as mock_report:
with mock.patch('tlsfuzzer.analysis.Analysis.__init__', mock_init):
with mock.patch("sys.argv", args):
main()
mock_report.assert_called_once()
mock_init.assert_called_once_with(output, True, True,
True, True)
def test_call_with_no_plots(self):
output = "/tmp"
args = ["analysis.py", "-o", output, "--no-ecdf-plot",
"--no-scatter-plot", "--no-conf-interval-plot"]
mock_init = mock.Mock()
mock_init.return_value = None
with mock.patch('tlsfuzzer.analysis.Analysis.generate_report') as mock_report:
with mock.patch('tlsfuzzer.analysis.Analysis.__init__', mock_init):
with mock.patch("sys.argv", args):
main()
mock_report.assert_called_once()
mock_init.assert_called_once_with(
output, False, False, False, False)
def test_help(self):
args = ["analysis.py", "--help"]
with mock.patch('tlsfuzzer.analysis.help_msg') as help_mock:
with mock.patch("sys.argv", args):
self.assertRaises(SystemExit, main)
help_mock.assert_called_once()
def test_help_msg(self):
with mock.patch('__main__.__builtins__.print') as print_mock:
help_msg()
self.assertGreaterEqual(print_mock.call_count, 1)
def test_missing_output(self):
args = ["analysis.py"]
with mock.patch("sys.argv", args):
self.assertRaises(ValueError, main)
@unittest.skipIf(failed_import,
"Could not import analysis. Skipping related tests.")
class TestDataLoad(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.data = {
'A': [0.000758130, 0.000696718, 0.000980080, 0.000988899,
0.000875510, 0.000734843, 0.000754852, 0.000667378,
0.000671230, 0.000790935],
'B': [0.000758130, 0.000696718, 0.000980080, 0.000988899,
0.000875510, 0.000734843, 0.000754852, 0.000667378,
0.000671230, 0.000790935]
}
cls.df = pd.DataFrame(data=cls.data)
cls.legend = {
'ID': [0, 1],
'Name': ['A', 'B']
}
@staticmethod
def file_selector(name, mode="r"):
if name == "/tmp/timing.bin.shape":
return mock.mock_open(read_data="nrow,ncol\n10,2")(name, mode)
if name == "/tmp/legend.csv":
print("called with legend.csv")
return mock.mock_open(read_data="ID,Name\n0,A\n1,B")(name, mode)
return mock.mock_open(name, mode)
@mock.patch("tlsfuzzer.analysis.np.memmap")
@mock.patch("tlsfuzzer.analysis.pd.read_csv")
@mock.patch("builtins.open")
@mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary")
def test_load_data(self, convert_mock, open_mock, read_csv_mock,
memmap_mock):
open_mock.side_effect = self.file_selector
read_csv_mock.return_value = pd.DataFrame(data=self.legend)
memmap_mock.return_value = self.df.values
a = Analysis("/tmp")
self.assertTrue(a.load_data().equals(self.df))
convert_mock.assert_called_with()
read_csv_mock.assert_called_with("/tmp/legend.csv")
memmap_mock.assert_called_with(
"/tmp/timing.bin", dtype=np.float64, mode="r", shape=(10, 2),
order="C")
@mock.patch("builtins.open")
@mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary")
def test_load_data_with_wrong_shape_file(self, convert_mock, open_mock):
open_mock.side_effect = lambda a, b:\
mock.mock_open(read_data="som,wrong,file\n1,2,3")(a, b)
with self.assertRaises(ValueError) as err:
Analysis("/tmp")
self.assertIn("Malformed /tmp/timing.bin.shape ", str(err.exception))
convert_mock.assert_called_once()
@mock.patch("tlsfuzzer.analysis.pd.read_csv")
@mock.patch("builtins.open")
@mock.patch("tlsfuzzer.analysis.Analysis._convert_to_binary")
def test_load_data_with_inconsistent_legend_and_shape(self, convert_mock,
open_mock, read_csv_mock):
open_mock.side_effect = self.file_selector
read_csv_mock.return_value = pd.DataFrame(data=
{"A": [0, 1, 2], "B": [0, 1, 2], "C": [3, 4, 5]})
with self.assertRaises(ValueError) as err:
Analysis("/tmp")
self.assertIn("Inconsistent /tmp/legend.csv and /tmp/timing.bin.shape",
str(err.exception))
convert_mock.assert_called_once()
read_csv_mock.assert_called_once()
@mock.patch("tlsfuzzer.analysis.os.path.getmtime")
@mock.patch("tlsfuzzer.analysis.os.path.isfile")
@mock.patch("tlsfuzzer.analysis.np.memmap")
@mock.patch("tlsfuzzer.analysis.pd.read_csv")
@mock.patch("builtins.open")
def test__convert_to_binary_with_noop(self, open_mock, read_csv_mock,
memmap_mock, isfile_mock, getmtime_mock):
open_mock.side_effect = self.file_selector
read_csv_mock.return_value = pd.DataFrame(data=self.legend)
memmap_mock.return_value = self.df.values
isfile_mock.return_value = True
getmtime_mock.side_effect = lambda f_name: \
1 if f_name == "/tmp/timing.bin" else 0
a = Analysis("/tmp")
self.assertTrue(a.load_data().equals(self.df))
read_csv_mock.assert_called_with("/tmp/legend.csv")
memmap_mock.assert_called_with(
"/tmp/timing.bin", dtype=np.float64, mode="r", shape=(10, 2),
order="C")
self.assertEqual(isfile_mock.call_args_list,
[mock.call("/tmp/timing.bin"),
mock.call("/tmp/legend.csv"),
mock.call("/tmp/timing.bin.shape"),
mock.call("/tmp/timing.bin"),
mock.call("/tmp/legend.csv"),
mock.call("/tmp/timing.bin.shape")])
@staticmethod
def mock_memmap(name, dtype, mode, shape, order):
return np.empty(shape, dtype, order)
@mock.patch("tlsfuzzer.analysis.np.memmap")
@mock.patch("builtins.open")
@mock.patch("tlsfuzzer.analysis.pd.read_csv")
@mock.patch("tlsfuzzer.analysis.os.path.getmtime")
@mock.patch("tlsfuzzer.analysis.os.path.isfile")
def test__convert_to_binary_refresh(self, isfile_mock, getmtime_mock,
read_csv_mock, open_mock, memmap_mock):
isfile_mock.return_value = True
getmtime_mock.return_value = 0
read_csv_mock.side_effect = lambda _, chunksize, dtype: \
iter(self.df[i:i+1] for i in range(self.df.shape[0]))
open_mock.side_effect = self.file_selector
memmap_mock.side_effect = self.mock_memmap
a = Analysis.__new__(Analysis)
a.output = "/tmp"
a._convert_to_binary()
Computing file changes ...
