def test_report_neq(self): timings = pd.DataFrame(data=self.neq_data) mock_read_csv = mock.Mock(spec=pd.read_csv) mock_read_csv.return_value = timings.transpose() with mock.patch("tlsfuzzer.analysis.pd.read_csv", mock_read_csv): with mock.patch("tlsfuzzer.analysis.Analysis.qq_plot") as mock_qq: 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("__main__.__builtins__.open", mock.mock_open()) as mock_open: analysis = Analysis("/tmp") ret = analysis.generate_report() mock_read_csv.assert_called_once() mock_qq.assert_called_once() mock_ecdf.assert_called_once() mock_box.assert_called_once() mock_scatter.assert_called_once() mock_open.assert_called_once() self.assertEqual(ret, 1)
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.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" ): analysis = Analysis("/tmp") ret = analysis.generate_report() self.mock_read_csv.assert_called_once() #mock_ecdf.assert_called_once() #mock_box.assert_called_once() #mock_scatter.assert_called_once() # we're writing to report.csv, legend.csv, and # report.txt self.assertEqual( mock_open.call_count, 3) self.assertEqual(ret, 0)
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") ])
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.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"): analysis = Analysis("/tmp") ret = analysis.generate_report() mock_read_csv.assert_called_once() #mock_ecdf.assert_called_once() #mock_box.assert_called_once() #mock_scatter.assert_called_once() # we're writing to report.csv, legend.csv, # and report.txt self.assertEqual(mock_open.call_count, 3) self.assertEqual(ret, 1)
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_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_wilcoxon_test(self): with mock.patch("tlsfuzzer.analysis.pd.read_csv", 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_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_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_box_test_neq(self): timings = pd.DataFrame(data=self.neq_data) mock_read_csv = mock.Mock(spec=pd.read_csv) mock_read_csv.return_value = timings with mock.patch("tlsfuzzer.analysis.pd.read_csv", 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 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(spec=pd.read_csv) mock_read_csv.return_value = timings with mock.patch("tlsfuzzer.analysis.pd.read_csv", mock_read_csv): self.analysis = Analysis("/tmp")
def test__mean_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(spec=pd.read_csv) mock_read_csv.return_value = timings with mock.patch("tlsfuzzer.analysis.pd.read_csv", mock_read_csv): with mock.patch("tlsfuzzer.analysis._diffs", diffs): analysis = Analysis("/tmp") vals = analysis._mean_of_random_sample(0) self.assertEqual(len(vals), 0) self.assertEqual(vals, [])
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 analyse(self): """ Starts analysis if available :return: int 0 for no difference, 1 for difference, 2 unavailable """ if self.check_analysis_availability(): from tlsfuzzer.analysis import Analysis analysis = Analysis(self.out_dir) return analysis.generate_report() print("Analysis is not available. " "Install required packages to enable.") return 2
def test__mean_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._mean_of_random_sample(10) self.assertEqual(len(vals), 10) avg = sum(vals) / len(vals) self.assertLessEqual(avg, 8) self.assertLessEqual(2, avg)
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")
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()
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()
def test_report(self): with mock.patch("tlsfuzzer.analysis.pd.read_csv", self.mock_read_csv): with mock.patch("tlsfuzzer.analysis.Analysis.qq_plot") as mock_qq: 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("__main__.__builtins__.open", mock.mock_open()) as mock_open: analysis = Analysis("/tmp") ret = analysis.generate_report() self.mock_read_csv.assert_called_once() mock_qq.assert_called_once() mock_ecdf.assert_called_once() mock_box.assert_called_once() mock_scatter.assert_called_once() mock_open.assert_called_once() self.assertEqual(ret, 0)
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()
class TestPlots(unittest.TestCase): def setUp(self): data = { 0: [ "A", 0.000758130, 0.000696718, 0.000980080, 0.000988899, 0.000875510, 0.000734843, 0.000754852, 0.000667378, 0.000671230, 0.000790935 ], 1: [ "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(spec=pd.read_csv) mock_read_csv.return_value = timings.transpose() with mock.patch("tlsfuzzer.analysis.pd.read_csv", mock_read_csv): self.analysis = Analysis("/tmp") def test_qq_plot(self): with mock.patch("tlsfuzzer.analysis.plt.savefig", mock.Mock()) as mock_save: self.analysis.qq_plot() mock_save.assert_called_once() def test_ecdf_plot(self): with mock.patch("tlsfuzzer.analysis.plt.savefig", mock.Mock()) as mock_save: self.analysis.ecdf_plot() mock_save.assert_called_once() def test_scatter_plot(self): with mock.patch("tlsfuzzer.analysis.plt.savefig", mock.Mock()) as mock_save: self.analysis.scatter_plot() mock_save.assert_called_once() def test_box_plot(self): with mock.patch("tlsfuzzer.analysis.plt.savefig", mock.Mock()) as mock_save: self.analysis.box_plot() mock_save.assert_called_once()
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(spec=pd.read_csv) mock_read_csv.return_value = timings with mock.patch("tlsfuzzer.analysis.pd.read_csv", mock_read_csv): self.analysis = Analysis("/tmp") def test_ecdf_plot(self): with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure", mock.Mock()) as mock_save: self.analysis.ecdf_plot() mock_save.assert_called_once() def test_scatter_plot(self): with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure", mock.Mock()) as mock_save: self.analysis.scatter_plot() mock_save.assert_called_once() def test_box_plot(self): with mock.patch("tlsfuzzer.analysis.FigureCanvas.print_figure", mock.Mock()) as mock_save: self.analysis.box_plot() mock_save.assert_called_once() 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() mock_save.assert_called_once()
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') ])
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__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)