How to use simulate_test_function method in hypothesis

Best Python code snippet using hypothesis

datatree.py

Source:datatree.py

...226                else:227                    return uniform(random, n)228            data = ConjectureData(draw_bytes=draw_bytes, max_length=float("inf"))229            try:230                self.simulate_test_function(data)231            except PreviouslyUnseenBehaviour:232                return hbytes(data.buffer)233    def rewrite(self, buffer):234        """Use previously seen ConjectureData objects to return a tuple of235        the rewritten buffer and the status we would get from running that236        buffer with the test function. If the status cannot be predicted237        from the existing values it will be None."""238        buffer = hbytes(buffer)239        data = ConjectureData.for_buffer(buffer)240        try:241            self.simulate_test_function(data)242            return (data.buffer, data.status)243        except PreviouslyUnseenBehaviour:244            return (buffer, None)245    def simulate_test_function(self, data):246        """Run a simulated version of the test function recorded by247        this tree. Note that this does not currently call ``stop_example``248        or ``start_example`` as these are not currently recorded in the249        tree. This will likely change in future."""250        node = self.root251        try:252            while True:253                for i, (n_bits, previous) in enumerate(254                    zip(node.bit_lengths, node.values)255                ):256                    v = data.draw_bits(257                        n_bits, forced=node.values[i] if i in node.forced else None258                    )259                    if v != previous:...

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