KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use _check_resolution method in avocado

Best Python code snippet using avocado_python

lpsnet.py

Source:lpsnet.py

...75        raise NotImplementedError76class LPSNet1Path(BaseSegNet):77    def __init__(self, depth, width, resolution, num_classes=19, deploy=False):78        super(LPSNet1Path, self).__init__(depth, width, resolution, num_classes)79        self._check_resolution()80        self.net = BaseNet(self.depth, self.width, deploy)81        self.head = nn.Conv2d(self.width[-1], self.num_classes, 1, 1, 0, bias=True)82    def forward(self, x):83        return self.head(self.net(self._preprocess_input(x)))84    def _preprocess_input(self, x):85        r = self.resolution[0]86        return upsample(x, (int(x.shape[-2] * r), int(x.shape[-1] * r)))87    def _check_resolution(self):88        assert self.resolution[0] > 089        for i in range(1, len(self.resolution)):90            assert self.resolution[i] == 091class LPSNet2Path(BaseSegNet):92    def __init__(self, depth, width, resolution, num_classes=19, deploy=False):93        super(LPSNet2Path, self).__init__(depth, width, resolution, num_classes)94        self._check_resolution()95        self.netH = BaseNet(self.depth, self.width, deploy)96        self.netL = BaseNet(self.depth, self.width, deploy)97        self.head = nn.Conv2d(self.width[-1] * 2, self.num_classes, 1, 1, 0, bias=True)98    def _check_resolution(self):99        assert len(self.resolution) >= 2100        assert self.resolution[0] > 0101        assert self.resolution[1] > 0102        assert self.resolution[0] >= self.resolution[1]103        for i in range(2, len(self.resolution)):104            assert self.resolution[i] == 0105    def _preprocess_input(self, x):106        r1 = self.resolution[0]107        r2 = self.resolution[1]108        x1 = upsample(x, (int(x.shape[-2] * r1), int(x.shape[-1] * r1)))109        x2 = upsample(x, (int(x.shape[-2] * r2), int(x.shape[-1] * r2)))110        return x1, x2111    def forward(self, x):112        xh, xl = self._preprocess_input(x)113        xh, xl = self.netH.stages[0](xh), self.netL.stages[0](xl)114        xh, xl = self.netH.stages[1](xh), self.netL.stages[1](xl)115        xh, xl = self.netH.stages[2](xh), self.netL.stages[2](xl)116        xh, xl = bi_interaction(xh, xl)117        xh, xl = self.netH.stages[3](xh), self.netL.stages[3](xl)118        xh, xl = bi_interaction(xh, xl)119        xh, xl = self.netH.stages[4](xh), self.netL.stages[4](xl)120        x_cat = torch.cat([xh, upsample(xl, (int(xh.shape[-2]), int(xh.shape[-1])))], dim=-3)121        return self.head(x_cat)122class LPSNet3Path(BaseSegNet):123    def __init__(self, depth, width, resolution, num_classes=19, deploy=False):124        super(LPSNet3Path, self).__init__(depth, width, resolution, num_classes)125        self._check_resolution()126        self.net1 = BaseNet(self.depth, self.width, deploy)127        self.net2 = BaseNet(self.depth, self.width, deploy)128        self.net3 = BaseNet(self.depth, self.width, deploy)129        self.head = nn.Conv2d(self.width[-1] * 3, self.num_classes, 1, 1, 0, bias=True)130    def _check_resolution(self):131        assert len(self.resolution) >= 3132        assert self.resolution[0] > 0133        assert self.resolution[1] > 0134        assert self.resolution[2] > 0135        assert self.resolution[0] >= self.resolution[1] >= self.resolution[2]136        for i in range(3, len(self.resolution)):137            assert self.resolution[i] == 0138    def _preprocess_input(self, x):139        r1 = self.resolution[0]140        r2 = self.resolution[1]141        r3 = self.resolution[2]142        x1 = upsample(x, (int(x.shape[-2] * r1), int(x.shape[-1] * r1)))143        x2 = upsample(x, (int(x.shape[-2] * r2), int(x.shape[-1] * r2)))144        x3 = upsample(x, (int(x.shape[-2] * r3), int(x.shape[-1] * r3)))...

test_resolver.py

Source:test_resolver.py

...132        self.assertEqual(resolution.args, ())133        self.assertEqual(resolution.kwargs, {})134        self.assertEqual(resolution.tags, {"flattag": None, "foo": {"bar"}})135    def test_dont_detect_non_avocado(self):136        def _check_resolution(resolution, name):137            self.assertEqual(resolution.kind, "python-unittest")138            self.assertEqual(resolution.uri, f"{path}:{name}")139            self.assertEqual(resolution.args, ())140            self.assertEqual(resolution.kwargs, {})141            self.assertEqual(resolution.tags, {})142            self.assertEqual(resolution.dependencies, [])143        path = os.path.join(144            os.path.dirname(os.path.dirname(os.path.dirname(__file__))),145            ".data",146            "safeloader",147            "data",148            "dont_detect_non_avocado.py",149        )150        res = PythonUnittestResolver().resolve(path)151        self.assertEqual(res.reference, path)152        self.assertEqual(res.result, resolver.ReferenceResolutionResult.SUCCESS)153        self.assertEqual(len(res.resolutions), 3)154        _check_resolution(res.resolutions[0], "StaticallyNotAvocadoTest.test")155        _check_resolution(res.resolutions[1], "NotTest.test2")156        _check_resolution(res.resolutions[2], "NotTest.test")157if __name__ == "__main__":...

validate_output_resolution.py

Source:validate_output_resolution.py

...29            reformat = inode30        return reformat31    @classmethod32    def get_invalid(cls, instance):33        def _check_resolution(instance, reformat):34            root_width = instance.data["resolutionWidth"]35            root_height = instance.data["resolutionHeight"]36            write_width = reformat.format().width()37            write_height = reformat.format().height()38            if (root_width != write_width) or (root_height != write_height):39                return None40            else:41                return True42        # check if reformat is in render node43        reformat = cls.get_reformat(instance)44        if not reformat:45            return cls.missing_msg46        # check if reformat is set to correct root format47        correct_format = _check_resolution(instance, reformat)48        if not correct_format:49            return cls.resolution_msg50    @classmethod51    def repair(cls, instance):52        invalid = cls.get_invalid(instance)53        grp_node = instance[0]54        if cls.missing_msg == invalid:55            # make sure we are inside of the group node56            with grp_node:57                # find input node and select it58                _input = None59                for inode in instance:60                    if inode.Class() != "Input":61                        continue...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.