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How to use calc_is_cacheable method in hypothesis

Best Python code snippet using hypothesis

misc.py

Source:misc.py

...43    def __repr__(self):44        return 'just(%r)' % (self.value,)45    def calc_has_reusable_values(self, recur):46        return True47    def calc_is_cacheable(self, recur):48        return is_simple_data(self.value)49    def do_draw(self, data):50        return self.value51class RandomStrategy(MappedSearchStrategy):52    """A strategy which produces Random objects.53    The conditional distribution is simply a RandomWithSeed seeded with54    a 128 bits of data chosen uniformly at random.55    """56    def pack(self, i):57        return RandomWithSeed(i)58class SampledFromStrategy(SearchStrategy):59    """A strategy which samples from a set of elements. This is essentially60    equivalent to using a OneOfStrategy over Just strategies but may be more61    efficient and convenient.62    The conditional distribution chooses uniformly at random from some63    non-empty subset of the elements.64    """65    def __init__(self, elements):66        SearchStrategy.__init__(self)67        self.elements = d.check_sample(elements)68        assert self.elements69    def calc_has_reusable_values(self, recur):70        return True71    def calc_is_cacheable(self, recur):72        return is_simple_data(self.elements)73    def do_draw(self, data):...

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