How to use test_show method in avocado

Best Python code snippet using avocado_python

Matrix_test.py

Source:Matrix_test.py

...4mat1 = Matrix([[1, 2], [3, 2]])5mat2 = Matrix([[3, 4], [4, 10]])6print("Testing Arithmetic Operations:")7result = Matrix.add(mat1,mat2)8assert  result.test_show()==Matrix([[4, 6], [7, 12]]).test_show(), "Test Addition failed: output "+ result.test_show() + " expected to be "+Matrix([[4, 6], [5, 12]]).test_show()9print("Test  passed")10result = Matrix.subtract(mat2,mat1)11assert  result.test_show()==Matrix([[2, 2], [1, 8]]).test_show(), "Test Subtraction failed: output "+ result.test_show() + " expected to be "+Matrix([[2, 2], [1, 8]]).test_show()12print("Test  passed")13result = Matrix.scale(mat1,2)14assert  result.test_show()==Matrix([[2, 4], [6, 4]]).test_show(), "Test Scaling failed: output "+ result.test_show() + " expected to be "+Matrix([[2, 4], [6, 4]]).test_show()15print("Test  passed")16result = Matrix.multiply(mat1,mat2)17assert  result.test_show()==Matrix([[11, 24], [17, 32]]).test_show(), "Test Matrix Mult failed: output "+ result.test_show() + " expected to be "+Matrix([[11, 24], [17, 32]]).test_show()18print("Test  passed")19result = Matrix.transpose(mat1)20assert  result.test_show()==Matrix([[1, 3], [2, 2]]).test_show(), "Test Transpose failed: output "+ result.test_show() + " expected to be "+Matrix([[1, 3], [2, 2]]).test_show()21print("Test  passed")22mat1 = Matrix([[1, 2], [3, 2]])23result = Matrix.rref(mat1)24assert result.test_show()==Matrix([[1.0, 0.0], [-0.0, 1.0]]).test_show(), "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[1, 0], [0, 1]]).test_show()25print("Test  passed")26print("rref checks:")27mat1 = Matrix([[5, 4, 6, 3, 10], [5, 5, 1, 9, 9], [3, 3, 4, 10, 7]])28result = Matrix.rref(mat1)29assert result.test_show()==Matrix([[1.0, 0.0, 0.0, -11.235294117647065, 0.3529411764705874], [0.0, 1.0, 0.0, 12.764705882352946, 1.3529411764705888], [0.0, 0.0, 1.0, 1.3529411764705892, 0.47058823529411775]]).test_show(), "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[1, 0, 0, -11.235294117647065, 0.3529411764705874], [0, 1, 0, 12.764705882352946,301.3529411764705888], [0.0, 0.0, 1.0, 1.3529411764705892, 0.47058823529411775]]).test_show()31print("Test  passed")32mat1 = Matrix([[10, 10, 6], [9, 4, 7], [1, 10, 8], [1, 3, 5], [8, 2, 3]])33result = Matrix.rref(mat1)34assert result.test_show()==Matrix([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]).test_show(), "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[1, 0, 0], [0, 1, 0], [0.0, 0.0, 1.0], [0, 0, 0], [0, 0, 0]]).test_show()35print("Test  passed")36mat1 = Matrix([[1, 0, 0], [0, 1, 0], [0.0, 0.0, 1.0], [0, 0, 0], [0, 0, 0]])37result = Matrix.rref(mat1)38assert result.test_show()==Matrix([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]).test_show(), "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[1, 0, 0], [0, 1, 0], [0.0, 0.0, 1.0], [0, 0, 0], [0, 0, 0]]).test_show()39print("Test  passed")40mat1 = Matrix([[9, 1, 6, 6, 10], [1, 9, 9, 1, 7], [41            2, 4, 3, 9, 5], [1, 7, 3, 5, 0], [8, 3, 10, 7, 7]])42result = Matrix.rref(mat1)43assert result.test_show()==Matrix([[1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0], [-0.0, -0.0, -0.0, -0.0, 1.0]]).test_show(), "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0], [-0.0, -0.0, -0.0, -0.0, 1.0]]).test_show()44print("Test  passed")45mat1 = Matrix([[7, 10, 2, 9, 10], [4, 3, 6, 2, 5], [2, 9, 5, 9, 4]])46result = Matrix.rref(mat1)47assert result.test_show()==Matrix([[1.0, 0.0, 0.0, -0.2423208191126282, 1.1399317406143346], [0.0, 1.0, 0.0, 1.0784982935153584,0.2081911262798635], [0.0, 0.0, 1.0, -0.044368600682593795, -0.030716723549488064]]).test_show(), "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[1.0, 0.0, 0.0, -0.24232081911262804, 1.1399317406143346], [0.0, 1.0, 0.0, 1.0784982935153584,0.2081911262798635], [0.0, 0.0, 1.0, -0.044368600682593795, -0.030716723549488064]]).test_show()48print("Test  passed")49print("det checks:")50mat1 = Matrix([[1, 2, 3], [1, 2, 4], [0, 0, 0]])51result = Matrix.recursive_det(mat1)52assert result == 0, "Test  failed: output "+str(result)+ " expected to be 0"53print("Test  passed")54#invertible Matrix55mat1 = Matrix([[9, 3, 8], [5, 1, 6], [10, 0, 1]])56result = Matrix.recursive_det(mat1)57assert result == 94, "Test  failed: output "+str(result)+ " expected to be 94"58print("Test  passed")59mat1 = Matrix([[9, 3, 8], [5, 1, 6], [10, 0, 1]])60result = Matrix.inverse_by_minors(mat1)61assert result == [[0.010638297872340413, -0.03191489361702121, 0.10638297872340424], [0.5851063829787235, -0.7553191489361706, -0.14893617021276595], [-0.1063829787234043, 0.3191489361702128, -0.06382978723404255]], "Test  failed: output "+result.test_show()+ " expected to be "+Matrix([[0.010638297872340413, -0.03191489361702121, 0.10638297872340424], [0.5851063829787235, -0.7553191489361706, -0.14893617021276595], [-0.1063829787234043,0.3191489361702128, -0.06382978723404255]]).test_show()62print("Test  passed")63# assert result.test_show() == , "Test  failed: output "+result.test_show()+ " expected to be "+{expected}...

test_show.py

Source:test_show.py

1#!/usr/bin/env python2#3#  Licensed under the Apache License, Version 2.0 (the "License"); you may4#  not use this file except in compliance with the License. You may obtain5#  a copy of the License at6#7#       http://www.apache.org/licenses/LICENSE-2.08#9#  Unless required by applicable law or agreed to in writing, software10#  distributed under the License is distributed on an "AS IS" BASIS, WITHOUT11#  WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the12#  License for the specific language governing permissions and limitations13#  under the License.14import weakref15from cliff import show16from cliff.tests import base17import mock18class FauxFormatter(object):19    def __init__(self):20        self.args = []21        self.obj = weakref.proxy(self)22    def emit_one(self, columns, data, stdout, args):23        self.args.append((columns, data))24class ExerciseShowOne(show.ShowOne):25    def _load_formatter_plugins(self):26        return {27            'test': FauxFormatter(),28        }29    def take_action(self, parsed_args):30        return (31            parsed_args.columns,32            [('a', 'A'), ('b', 'B')],33        )34class TestShow(base.TestBase):35    def test_formatter_args(self):36        app = mock.Mock()37        test_show = ExerciseShowOne(app, [])38        parsed_args = mock.Mock()39        parsed_args.columns = ('Col1', 'Col2')40        parsed_args.formatter = 'test'41        test_show.run(parsed_args)42        f = test_show._formatter_plugins['test']43        self.assertEqual(1, len(f.args))44        args = f.args[0]45        self.assertEqual(list(parsed_args.columns), args[0])46        data = list(args[1])47        self.assertEqual([('a', 'A'), ('b', 'B')], data)48    def test_dict2columns(self):49        app = mock.Mock()50        test_show = ExerciseShowOne(app, [])51        d = {'a': 'A', 'b': 'B', 'c': 'C'}52        expected = [('a', 'b', 'c'), ('A', 'B', 'C')]53        actual = list(test_show.dict2columns(d))54        self.assertEqual(expected, actual)55    def test_no_exist_column(self):56        test_show = ExerciseShowOne(mock.Mock(), [])57        parsed_args = mock.Mock()58        parsed_args.columns = ('no_exist_column',)59        parsed_args.formatter = 'test'60        with mock.patch.object(test_show, 'take_action') as mock_take_action:61            mock_take_action.return_value = (('Col1', 'Col2', 'Col3'), [])62            self.assertRaises(63                ValueError,64                test_show.run,65                parsed_args,...

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