Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use to_module method in Testify

Best Python code snippet using Testify_python

test_feature_utils.py

Source:test_feature_utils.py

1import numpy as np2import pytest3import torch4from ludwig.features import feature_utils5def test_ludwig_feature_dict():6    feature_dict = feature_utils.LudwigFeatureDict()7    to_module = torch.nn.Module()8    type_module = torch.nn.Module()9    feature_dict["to"] = to_module10    feature_dict["type"] = type_module11    assert iter(feature_dict) is not None12    assert next(feature_dict) is not None13    assert len(feature_dict) == 214    assert feature_dict.keys() == ["to", "type"]15    assert feature_dict.items() == [("to", to_module), ("type", type_module)]16    assert feature_dict["to"] == to_module17    feature_dict.update({"to_empty": torch.nn.Module()})18    assert len(feature_dict) == 319    assert [key for key in feature_dict] == ["to", "type", "to_empty"]20def test_ludwig_feature_dict_with_periods():21    feature_dict = feature_utils.LudwigFeatureDict()22    to_module = torch.nn.Module()23    feature_dict["to."] = to_module24    assert feature_dict.keys() == ["to."]25    assert feature_dict.items() == [("to.", to_module)]26    assert feature_dict["to."] == to_module27@pytest.mark.parametrize("sequence_type", [list, tuple, np.array])28def test_compute_token_probabilities(sequence_type):29    inputs = sequence_type(30        [31            [0.1, 0.2, 0.7],32            [0.3, 0.4, 0.3],33            [0.6, 0.3, 0.2],34        ]35    )36    token_probabilities = feature_utils.compute_token_probabilities(inputs)37    assert np.allclose(token_probabilities, [0.7, 0.4, 0.6])38def test_compute_sequence_probability():39    inputs = np.array([0.7, 0.4, 0.6])40    sequence_probability = feature_utils.compute_sequence_probability(41        inputs, max_sequence_length=2, return_log_prob=False42    )...

utils.py

Source:utils.py

1import numpy as np2import torch3def assert_equal_model_outputs(input_var, model1, model2):4    model1.eval()5    model2.eval()6    model1_output = model1(input_var)7    model2_output = model2(input_var)8    assert torch.equal(model1_output, model2_output)9def assert_almost_equal_model_outputs(input_var, model1, model2):10    model1.eval()11    model2.eval()12    model1_output = model1(input_var)13    model2_output = model2(input_var)14    assert np.all(15        np.isclose(16            model1_output.data.numpy(),17            model2_output.data.numpy(),18            rtol=1e-04,19            atol=1e-06,20        )21    )22def copy_module_weights(from_module, to_module):23    to_module.weight.data.copy_(from_module.weight.data)24    to_module.bias.data.copy_(from_module.bias.data)25def assert_iterable_length_and_type(iterable, length, element_type):26    assert len(iterable) == length27    for element in iterable:28        assert isinstance(element, element_type)29def get_default_input_size_for_model(model_name):30    if (31        model_name == 'alexnet'32        or model_name.startswith('vgg')33        or model_name.startswith('squeezenet')34    ):35        return 224, 224...

connection.py

Source:connection.py

1from collections import namedtuple2import asyncio3import logging4class Connection(namedtuple('Connection', ['from_module', 'from_output',5                                           'to_module', 'to_input',6                                           'key'])):7    async def establish(self):8        from_node, to_node = self.from_module.node, self.to_module.node9        connect = from_node.connect(self.from_module, self.from_output,10                                    self.to_module, self.to_input)11        set_key_from = from_node.set_key(self.from_module, self.from_output,12                                         self.key)13        set_key_to = to_node.set_key(self.to_module, self.to_input, self.key)14        await asyncio.gather(connect, set_key_from, set_key_to)15        logging.info('Connection from %s:%s on %s to %s:%s on %s established',16                     self.from_module.name, self.from_output, from_node.name,...

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.