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How to use invariant_wrapper method in hypothesis

Best Python code snippet using hypothesis

stateful.py

Source:stateful.py

...315            )316        precondition = getattr(f, PRECONDITION_MARKER, None)317        rule = Invariant(function=f, precondition=precondition)318        @proxies(f)319        def invariant_wrapper(*args, **kwargs):320            return f(*args, **kwargs)321        setattr(invariant_wrapper, INVARIANT_MARKER, rule)322        return invariant_wrapper323    return accept324@attr.s()325class ShuffleBundle(object):326    bundle = attr.ib()327    swaps = attr.ib()328class RuleBasedStateMachine(GenericStateMachine):329    """A RuleBasedStateMachine gives you a more structured way to define state330    machines.331    The idea is that a state machine carries a bunch of types of data332    divided into Bundles, and has a set of rules which may read data333    from bundles (or just from normal strategies) and push data onto...

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