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How to use shrink_interesting_examples method in hypothesis

Best Python code snippet using hypothesis

test_engine.py

Source:test_engine.py

...810        runner = ConjectureRunner(811            test, settings=settings(TEST_SETTINGS, report_multiple_bugs=False)812        )813        runner.cached_test_function([255, 255])814        runner.shrink_interesting_examples()815        results = {d.buffer for d in runner.interesting_examples.values()}816    assert len(results.intersection({bytes([0, 1]), bytes([1, 0])})) == 1817def test_does_not_keep_generating_when_multiple_bugs():818    def test(data):819        if data.draw_bits(64) > 0:820            data.draw_bits(64)821            data.mark_interesting()822    with deterministic_PRNG():823        runner = ConjectureRunner(824            test,825            settings=settings(826                TEST_SETTINGS, report_multiple_bugs=False, phases=[Phase.generate]827            ),828        )...

test_float_encoding.py

Source:test_float_encoding.py

...122    assert runner.interesting_examples123    return runner124def minimal_from(start, condition):125    runner = float_runner(start, condition)126    runner.shrink_interesting_examples()127    (v,) = runner.interesting_examples.values()128    result = flt.draw_float(ConjectureData.for_buffer(v.buffer))129    assert condition(result)130    return result131INTERESTING_FLOATS = [0.0, 1.0, 2.0, sys.float_info.max, float("inf"), float("nan")]132@pytest.mark.parametrize(133    ("start", "end"),134    [135        (a, b)136        for a in INTERESTING_FLOATS137        for b in INTERESTING_FLOATS138        if flt.float_to_lex(a) > flt.float_to_lex(b)139    ],140)141def test_can_shrink_downwards(start, end):142    assert minimal_from(start, lambda x: not (x < end)) == end143@pytest.mark.parametrize(144    "f", [1, 2, 4, 8, 10, 16, 32, 64, 100, 128, 256, 500, 512, 1000, 1024]145)146@pytest.mark.parametrize("mul", [1.1, 1.5, 9.99, 10])147def test_shrinks_downwards_to_integers(f, mul):148    g = minimal_from(f * mul, lambda x: x >= f)149    assert g == f150def test_shrink_to_integer_upper_bound():151    assert minimal_from(1.1, lambda x: 1 < x <= 2) == 2152def test_shrink_up_to_one():153    assert minimal_from(0.5, lambda x: 0.5 <= x <= 1.5) == 1154def test_shrink_down_to_half():155    assert minimal_from(0.75, lambda x: 0 < x < 1) == 0.5156def test_does_not_shrink_across_one():157    # This is something of an odd special case. Because of our encoding we158    # prefer all numbers >= 1 to all numbers in 0 < x < 1. For the most part159    # this is the correct thing to do, but there are some low negative exponent160    # cases where we get odd behaviour like this.161    # This test primarily exists to validate that we don't try to subtract one162    # from the starting point and trigger an internal exception.163    assert minimal_from(1.1, lambda x: x == 1.1 or 0 < x < 1) == 1.1164@pytest.mark.parametrize("f", [2.0, 10000000.0])165def test_converts_floats_to_integer_form(f):166    assert flt.is_simple(f)167    buf = int_to_bytes(flt.base_float_to_lex(f), 8)168    runner = float_runner(f, lambda g: g == f)169    runner.shrink_interesting_examples()170    (v,) = runner.interesting_examples.values()...

test_poisoned_trees.py

Source:test_poisoned_trees.py

...66        if len(v) >= size:67            data.mark_interesting()68    runner = ConjectureRunner(test_function, random=random, settings=TEST_SETTINGS)69    runner.generate_new_examples()70    runner.shrink_interesting_examples()71    (data,) = runner.interesting_examples.values()72    assert len(ConjectureData.for_buffer(data.buffer).draw(strat)) == size73    starts = [b.start for b in data.blocks if b.length == 2]74    assert len(starts) % 2 == 075    for i in range(0, len(starts), 2):76        # Now for each leaf position in the tree we try inserting a poison77        # value artificially. Additionally, we add a marker to the end that78        # must be preserved. The marker means that we are not allow to rely on79        # discarding the end of the buffer to get the desired shrink.80        u = starts[i]81        marker = bytes([1, 2, 3, 4])82        def test_function_with_poison(data):83            v = data.draw(strat)84            m = data.draw_bytes(len(marker))85            if POISON in v and m == marker:86                data.mark_interesting()87        runner = ConjectureRunner(88            test_function_with_poison, random=random, settings=TEST_SETTINGS89        )90        runner.cached_test_function(91            data.buffer[:u] + bytes([255]) * 4 + data.buffer[u + 4 :] + marker92        )93        assert runner.interesting_examples94        runner.shrink_interesting_examples()95        (shrunk,) = runner.interesting_examples.values()...

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