How to use new_shrinker method in hypothesis

Best Python code snippet using hypothesis

test_integers.py

Source:test_integers.py

...80    )81    runner.cached_test_function(blob)82    assert runner.interesting_examples83    (v,) = runner.interesting_examples.values()84    shrinker = runner.new_shrinker(v, lambda x: x.status == Status.INTERESTING)85    shrinker.fixate_shrink_passes(["minimize_individual_blocks"])86    v = shrinker.shrink_target87    m = ConjectureData.for_buffer(v.buffer).draw(st.integers())88    assert m == n89    # Upper bound on the length needed is calculated as follows:90    # * We have an initial byte at the beginning to decide the length of the91    #   integer.92    # * We have a terminal byte as the stop value.93    # * The rest is the integer payload. This should be n. Including the sign94    #   bit, n needs (1 + n.bit_length()) / 8 bytes (rounded up). But we only95    #   have power of two sizes, so it may be up to a factor of two more than96    #   that.97    bits_needed = 1 + n.bit_length()98    actual_bits_needed = min(s for s in WideRangeIntStrategy.sizes if s >= bits_needed)...

common.py

Source:common.py

...53            )54            runner.cached_test_function(start)55            assert runner.interesting_examples56            (last_data,) = runner.interesting_examples.values()57            return runner.new_shrinker(58                last_data, lambda d: d.status == Status.INTERESTING59            )...

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