How to use pareto_optimise method in hypothesis

Best Python code snippet using hypothesis

engine.py

Source:engine.py

...674                break675            max_improvements *= 2676            if any_improvements:677                continue678            self.pareto_optimise()679            if prev_calls == self.call_count:680                break681    def pareto_optimise(self):682        if self.pareto_front is not None:683            ParetoOptimiser(self).run()684    def _run(self):685        self.reuse_existing_examples()686        self.generate_new_examples()687        # We normally run the targeting phase mixed in with the generate phase,688        # but if we've been asked to run it but not generation then we have to689        # run it explciitly on its own here.690        if Phase.generate not in self.settings.phases:691            self.optimise_targets()692        self.shrink_interesting_examples()693        self.exit_with(ExitReason.finished)694    def new_conjecture_data(self, prefix, max_length=BUFFER_SIZE, observer=None):695        return ConjectureData(...

test_pareto.py

Source:test_pareto.py

...148        settings=settings(max_examples=10000, database=InMemoryExampleDatabase()),149        database_key=b"stuff",150    )151    runner.cached_test_function([255] * 20 + [0])152    runner.pareto_optimise()153    assert len(runner.pareto_front) == 6154    for i, data in enumerate(runner.pareto_front):155        assert list(data.buffer) == [1] * i + [0]156def test_does_not_optimise_the_pareto_front_if_interesting():157    def test(data):158        n = data.draw_bits(8)159        data.target_observations[""] = n160        if n == 255:161            data.mark_interesting()162    runner = ConjectureRunner(163        test,164        settings=settings(max_examples=10000, database=InMemoryExampleDatabase()),165        database_key=b"stuff",166    )167    runner.cached_test_function([0])168    runner.pareto_optimise = None169    runner.optimise_targets()170    assert runner.interesting_examples171def test_stops_optimising_once_interesting():172    hi = 2 ** 16 - 1173    def test(data):174        n = data.draw_bits(16)175        data.target_observations[""] = n176        if n < hi:177            data.mark_interesting()178    runner = ConjectureRunner(179        test,180        settings=settings(max_examples=10000, database=InMemoryExampleDatabase()),181        database_key=b"stuff",182    )183    data = runner.cached_test_function([255] * 2)184    assert data.status == Status.VALID185    runner.pareto_optimise()186    assert runner.call_count <= 20...

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.