How to use test_argument_order method in Testify

Best Python code snippet using Testify_python

echo_unittest.py

Source:echo_unittest.py

...33        self.assertStdout('foo bar baz')34    def test_unicode(self):35        echo.main([u'WebKit \u2661', 'Tor Arne', u'Vestb\u00F8!'])36        self.assertStdout(u'WebKit \u2661 Tor Arne Vestb\u00F8!\n')37    def test_argument_order(self):38        echo.main(['foo', '-n', 'bar'])39        self.assertStdout('foo -n bar\n')40    def test_empty_arguments(self):41        old_argv = sys.argv42        sys.argv = ['echo.py', 'foo', 'bar', 'baz']43        echo.main([])44        self.assertStdout('\n')45        sys.argv = old_argv46    def test_no_arguments(self):47        old_argv = sys.argv48        sys.argv = ['echo.py', 'foo', 'bar', 'baz']49        echo.main()50        self.assertStdout('foo bar baz\n')51        sys.argv = old_argv...

test_accuracy.py

Source:test_accuracy.py

1'''This module tests our accuracy calculator in evaluation_metrics.'''2from src.helperfunctions.evaluation_metrics import evaluate_accuracy3import numpy as np4import pytest5def test_argument_order():6    predictions = np.array([1, 2, 3, 4])7    truth = np.array([4,3,2,1])8    assert evaluate_accuracy(predictions, truth) == evaluate_accuracy(truth, predictions)9    assert evaluate_accuracy(predictions, truth) == 010def test_comprehensive_error_count():11    '''Some basic checks of accuracy values.'''12    predictions = np.array([1, 2, 3, 4])13    # Just one wrong14    truth = np.array([[1, 2, 3, 4],15                     [0, 2, 3, 4], [1, 0, 3, 4],  # one wrong16                     [0, 0, 3, 4], [1, 2, 0, 0], # two wrong17                     [0, 0, 0, 4], [1, 0, 0, 0], # three wrong18                     [0, 0, 0, 0]])  # 4 wrong19    correct_accuracies = np.array([1, 0.75, 0.75, 0.5, 0.5, 0.25, 0.25, 0])...

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