How to use slow method in hypothesis

Best Python code snippet using hypothesis

buffer.py

Source:buffer.py

...39        if callable(slow_to_fast_callbacks):40            slow_to_fast_callbacks = [slow_to_fast_callbacks]41        self.fast_to_slow_callbacks = fast_to_slow_callbacks or []42        self.slow_to_fast_callbacks = slow_to_fast_callbacks or []43    def fast_to_slow(self, key, value):44        self.slow[key] = value45        for cb in self.fast_to_slow_callbacks:46            cb(key, value)47    def slow_to_fast(self, key):48        value = self.slow[key]49        # Avoid useless movement for heavy values50        if self.weight(key, value) <= self.n:51            del self.slow[key]52            self.fast[key] = value53        for cb in self.slow_to_fast_callbacks:54            cb(key, value)55        return value56    def __getitem__(self, key):57        if key in self.fast:...

test_skip_decorators.py

Source:test_skip_decorators.py

...34from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device35# skipping in unittest tests36params = [(1,)]37# test that we can stack our skip decorators with 3rd party decorators38def check_slow():39    run_slow = bool(os.getenv("RUN_SLOW", 0))40    if run_slow:41        assert True42    else:43        assert False, "should have been skipped"44# test that we can stack our skip decorators45def check_slow_torch_cuda():46    run_slow = bool(os.getenv("RUN_SLOW", 0))47    if run_slow and torch_device == "cuda":48        assert True49    else:50        assert False, "should have been skipped"51@require_torch52class SkipTester(unittest.TestCase):53    @slow54    @require_torch_gpu55    def test_2_skips_slow_first(self):56        check_slow_torch_cuda()57    @require_torch_gpu58    @slow59    def test_2_skips_slow_last(self):60        check_slow_torch_cuda()61    # The combination of any skip decorator, followed by parameterized fails to skip the tests62    # 1. @slow manages to correctly skip `test_param_slow_first`63    # 2. but then `parameterized` creates new tests, with a unique name for each parameter groups.64    #    It has no idea that they are to be skipped and so they all run, ignoring @slow65    # Therefore skip decorators must come after `parameterized`66    #67    # @slow68    # @parameterized.expand(params)69    # def test_param_slow_first(self, param=None):70    #     check_slow()71    # This works as expected:72    # 1. `parameterized` creates new tests with unique names73    # 2. each of them gets an opportunity to be skipped74    @parameterized.expand(params)75    @slow76    def test_param_slow_last(self, param=None):77        check_slow()78# skipping in non-unittest tests79# no problem at all here80@slow81@require_torch_gpu82def test_pytest_2_skips_slow_first():83    check_slow_torch_cuda()84@require_torch_gpu85@slow86def test_pytest_2_skips_slow_last():87    check_slow_torch_cuda()88@slow89@pytest.mark.parametrize("param", [1])90def test_pytest_param_slow_first(param):91    check_slow()92@pytest.mark.parametrize("param", [1])93@slow94def test_pytest_param_slow_last(param):...

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