How to use test_same method in avocado

Best Python code snippet using avocado_python

downsample_test.py

Source:downsample_test.py

...7import treeano8import treeano.nodes as tn9fX = theano.config.floatX10def test_pool_output_shape_2d():11    def test_same(input_shape, local_sizes, strides, pads, ignore_border):12        res = tn.downsample.pool_output_shape(13            input_shape,14            (2, 3),15            local_sizes,16            strides,17            pads,18            ignore_border,19        )20        from theano.tensor.signal.downsample import max_pool_2d21        ans = max_pool_2d(22            T.constant(np.random.randn(*input_shape).astype(fX)),23            ds=local_sizes,24            st=strides,25            ignore_border=ignore_border,26            padding=pads,27        ).shape.eval()28        print(ans, res)29        np.testing.assert_equal(ans, res)30    # tests w/ ignore border31    test_same((1, 1, 5, 6), (2, 3), (1, 1), (0, 0), True)32    test_same((1, 1, 5, 6), (2, 3), (2, 2), (0, 0), True)33    test_same((1, 1, 1, 1), (2, 3), (2, 2), (0, 0), True)34    test_same((1, 1, 5, 6), (2, 3), (1, 1), (0, 1), True)35    test_same((1, 1, 5, 6), (2, 3), (2, 2), (1, 0), True)36    test_same((1, 1, 1, 1), (2, 3), (2, 2), (1, 1), True)37    # tests w/o ignore border, and stride <= pool_size38    test_same((1, 1, 5, 6), (2, 3), (1, 1), (0, 0), False)39    test_same((1, 1, 5, 6), (2, 3), (2, 2), (0, 0), False)40    test_same((1, 1, 1, 1), (2, 3), (2, 2), (0, 0), False)41    # tests w/o ignore border, and stride > pool_size42    test_same((1, 1, 5, 6), (2, 3), (3, 3), (0, 0), False)43    test_same((1, 1, 5, 6), (2, 3), (3, 3), (0, 0), False)44    test_same((1, 1, 1, 1), (2, 3), (3, 3), (0, 0), False)45def test_pool_output_shape_3d():46    def test_same(input_shape, local_sizes, strides, pads, ignore_border, ans):47        res = tn.downsample.pool_output_shape(48            input_shape,49            (2, 3, 4),50            local_sizes,51            strides,52            pads,53            ignore_border,54        )55        print(ans, res)56        np.testing.assert_equal(ans, res)57    test_same((1, 1, 2, 2, 2), (2, 2, 2), (2, 2, 2), (0, 0, 0), False,58              ans=(1, 1, 1, 1, 1))59def test_pool_output_shape_custom_pool_2d_node():60    def test_same(input_shape, local_sizes, strides, pads, ignore_border):61        res = tn.downsample.pool_output_shape(62            input_shape,63            (2, 3),64            local_sizes,65            strides,66            pads,67            ignore_border,68        )69        # pool2d node assumes 0 padding70        assert pads == (0, 0)71        # pool2d node assumes ignoring border72        assert ignore_border73        network = tn.SequentialNode(74            "s",75            [tn.ConstantNode("c",76                             value=np.random.randn(*input_shape).astype(fX)),77             tn.CustomPool2DNode("p",78                                 pool_function=T.mean,79                                 pool_size=local_sizes,80                                 stride=strides,81                                 )]82        ).network()83        ans = network["p"].get_vw("default").variable.shape.eval()84        print(ans, res)85        np.testing.assert_equal(ans, res)86    test_same((3, 4, 5, 6), (2, 3), (1, 1), (0, 0), True)87    test_same((3, 4, 5, 6), (2, 3), (2, 2), (0, 0), True)88    test_same((3, 4, 1, 1), (2, 3), (2, 2), (0, 0), True)89def test_feature_pool_node_serialization():90    tn.check_serialization(tn.FeaturePoolNode("a"))91def test_maxout_node_serialization():92    tn.check_serialization(tn.MaxoutNode("a"))93def test_custom_pool_2d_node_serialization():94    tn.check_serialization(tn.CustomPool2DNode("a"))95def test_mean_pool_2d_node_serialization():96    tn.check_serialization(tn.MeanPool2DNode("a"))97def test_global_pool_node_serialization():98    tn.check_serialization(tn.CustomGlobalPoolNode("a"))99def test_maxout_hyperparameters():100    nt.assert_equal(101        set(tn.FeaturePoolNode.hyperparameter_names),102        set(tn.MaxoutNode.hyperparameter_names + ("pool_function",)))...

6-max_integer_test.py

Source:6-max_integer_test.py

...21        self.assertIs(list, list)22    def test_equal(self):23        self.assertEqual(max_integer([2, 2, 2, 2]), 2)24        self.assertEqual(max_integer([1, 1, 1, 1]), 1)25    def test_same(self):26        self.assertEqual(max_integer([2, 3, 1, 3]), 3)27        self.assertEqual(max_integer([1, 0.0, 0.5, 1]), 1)28    def test_same(self):29        self.assertEqual(max_integer([2, 3, 1, 3]), 3)30        self.assertEqual(max_integer([1, 0.0, 0.5, 1]), 1)31    def test_same(self):32        self.assertEqual(max_integer([2]), 2)33        self.assertEqual(max_integer([1]), 1)34    def test_same(self):35        self.assertEqual(max_integer([2]), 2)36        self.assertEqual(max_integer([1]), 1)37    def test_string(self):38        self.assertEqual(max_integer(['d', 'e', 'm']), 'm')39    def test_diferent(self):40        with self.assertRaises(TypeError):41            max_integer(['r', 5, 2])42    def test_n(self):43        with self.assertRaises(TypeError):44            max_integer([None, 4])45if __name__ == '__main__':...

manual.py

Source:manual.py

...5import a.b.test_same6import b.test_same7from pathlib import Path8print(str(Path('a/test_same.py')), end=' ')9a.test_same.test_same(a.conftest.fixture_a.__wrapped__())10print('.')11print(str(Path('a/b/test_same.py')), end=' ')12a.b.test_same.test_same(a.conftest.fixture_a.__wrapped__(), a.b.conftest.fixture_a_b.__wrapped__())13print('.')14print(str(Path('b/test_same.py')), end=' ')15b.test_same.test_same(b.conftest.fixture_b.__wrapped__())...

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