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How to use test_default_step method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

summary_test.py

Source:summary_test.py

...139            self.assertEqual("scope/a", self.scalar("a", 1).value[0].tag)140    def test_step(self):141        event = self.scalar_event("a", 1.0, step=333)142        self.assertEqual(333, event.step)143    def test_default_step(self):144        try:145            tf2.summary.experimental.set_step(333)146            # TODO(nickfelt): change test logic so we can just omit `step` entirely.147            event = self.scalar_event("a", 1.0, step=None)148            self.assertEqual(333, event.step)149        finally:150            # Reset to default state for other tests.151            tf2.summary.experimental.set_step(None)152class SummaryV2OpGraphTest(SummaryV2OpTest, tf.test.TestCase):153    def write_scalar_event(self, *args, **kwargs):154        kwargs.setdefault("step", 1)155        # Hack to extract current scope since there's no direct API for it.156        with tf.name_scope("_") as temp_scope:157            scope = temp_scope.rstrip("/_")...

test_fdm.py

Source:test_fdm.py

...88        err = np.abs(method(np.sin, 1) + np.sin(1))89        # Check that it did better than the previous estimator.90        assert err <= err_ref91        err_ref = err92def test_default_step():93    approx(94        central_fdm(2, 1).estimate().step, np.sqrt(2 * np.finfo(np.float64).eps / 10)95    )96def test_zero_bound_fixed():97    m = central_fdm(2, 1)98    f = np.sin99    x = 0100    assert m.bound_estimator(f, x) == 0101    assert m.bound_estimator(f, x, magnitude=True)[0] > 0102    assert m.bound_estimator(f, x, magnitude=True)[1] > 0103    approx(m(f, x), 1)104def test_zero_bound_zero_error_not_fixed():105    m = central_fdm(2, 1)106    f = lambda _: 0...

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