How to use the flaky.names.FlakyNames.MIN_PASSES function in flaky

        @flaky(max_runs, min_passes)
        def test_something():
            pass

        flaky_attribute = dict((
            (attr, getattr(
                test_something,
                attr,
                None
            )) for attr in FlakyNames()
        ))

        self.assertIsNotNone(flaky_attribute)
        self.assertDictContainsSubset(
            {
                FlakyNames.MIN_PASSES: min_passes,
                FlakyNames.MAX_RUNS: max_runs,
                FlakyNames.CURRENT_PASSES: 0,
                FlakyNames.CURRENT_RUNS: 0,
                FlakyNames.CURRENT_ERRORS: None
            },
            flaky_attribute
        )

def _has_flaky_test_succeeded(flaky):
        """
        Whether or not the flaky test has succeeded

        :param flaky:
            Dictionary of flaky attributes
        :type flaky:
            `dict` of `unicode` to varies
        :return:
            True if the flaky test should be marked as success; False if
            it should be rerun.
        :rtype:
            `bool`
        """
        return flaky[FlakyNames.CURRENT_PASSES] >= flaky[FlakyNames.MIN_PASSES]

Default flaky attributes to set on a flaky test.
    :rtype:
        `dict`
    """
    if max_runs is None:
        max_runs = 2
    if min_passes is None:
        min_passes = 1
    if min_passes <= 0:
        raise ValueError('min_passes must be positive')
    if max_runs < min_passes:
        raise ValueError('min_passes cannot be greater than max_runs!')

    return {
        FlakyNames.MAX_RUNS: max_runs,
        FlakyNames.MIN_PASSES: min_passes,
        FlakyNames.CURRENT_RUNS: 0,
        FlakyNames.CURRENT_PASSES: 0,
        FlakyNames.RERUN_FILTER: FilterWrapper(rerun_filter or _true),
    }