Python HealthCheck.all方法代码示例

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_failure_sequence_inducing(building, testing, rnd):
    buildit = iter(building)
    testit = iter(testing)

    def build(x):
        try:
            assume(not next(buildit))
        except StopIteration:
            pass
        return x

    @given(integers().map(build))
    @settings(
        verbosity=Verbosity.quiet, database=None,
        suppress_health_check=HealthCheck.all(), phases=no_shrink
    )
    def test(x):
        try:
            i = next(testit)
        except StopIteration:
            return
        if i == 1:
            return
        elif i == 2:
            reject()
        else:
            raise Nope()

    try:
        test()
    except (Nope, Unsatisfiable, Flaky):
        pass
    except UnsatisfiedAssumption:
        raise SatisfyMe()

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_the_slow_test_health_only_runs_if_health_checks_are_on():
    @given(st.integers())
    @settings(suppress_health_check=HealthCheck.all(), deadline=None)
    def a(x):
        time.sleep(1000)

    a()

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_contains_the_test_function_name_in_the_exception_string():
    look_for_one = settings(
        max_examples=1, suppress_health_check=HealthCheck.all())

    @given(integers())
    @look_for_one
    def this_has_a_totally_unique_name(x):
        reject()

    with raises(Unsatisfiable) as e:
        this_has_a_totally_unique_name()
    assert this_has_a_totally_unique_name.__name__ in e.value.args[0]

    class Foo(object):

        @given(integers())
        @look_for_one
        def this_has_a_unique_name_and_lives_on_a_class(self, x):
            reject()

    with raises(Unsatisfiable) as e:
        Foo().this_has_a_unique_name_and_lives_on_a_class()
    assert (
        Foo.this_has_a_unique_name_and_lives_on_a_class.__name__
    ) in e.value.args[0]

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_debug_data(capsys):
    buf = [0, 1, 2]

    def f(data):
        for x in hbytes(buf):
            if data.draw_bits(8) != x:
                data.mark_invalid()
            data.start_example(1)
            data.stop_example()
        data.mark_interesting()

    runner = ConjectureRunner(
        f,
        settings=settings(
            max_examples=5000,
            buffer_size=1024,
            database=None,
            suppress_health_check=HealthCheck.all(),
            verbosity=Verbosity.debug,
        ),
    )
    runner.cached_test_function(buf)
    runner.run()

    out, _ = capsys.readouterr()
    assert re.match(u"\\d+ bytes \\[.*\\] -> ", out)
    assert "INTERESTING" in out

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_database_clears_secondary_key():
    key = b"key"
    database = InMemoryExampleDatabase()

    def f(data):
        if data.draw_bits(8) == 10:
            data.mark_interesting()
        else:
            data.mark_invalid()

    runner = ConjectureRunner(
        f,
        settings=settings(
            max_examples=1,
            buffer_size=1024,
            database=database,
            suppress_health_check=HealthCheck.all(),
        ),
        database_key=key,
    )

    for i in range(10):
        database.save(runner.secondary_key, hbytes([i]))

    runner.cached_test_function([10])
    assert runner.interesting_examples

    assert len(set(database.fetch(key))) == 1
    assert len(set(database.fetch(runner.secondary_key))) == 10

    runner.clear_secondary_key()

    assert len(set(database.fetch(key))) == 1
    assert len(set(database.fetch(runner.secondary_key))) == 0

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_database_uses_values_from_secondary_key():
    key = b'key'
    database = InMemoryExampleDatabase()

    def f(data):
        if data.draw_bits(8) >= 5:
            data.mark_interesting()
        else:
            data.mark_invalid()

    runner = ConjectureRunner(f, settings=settings(
        max_examples=1, buffer_size=1024,
        database=database, suppress_health_check=HealthCheck.all(),
    ), database_key=key)

    for i in range(10):
        database.save(runner.secondary_key, hbytes([i]))

    runner.test_function(ConjectureData.for_buffer(hbytes([10])))
    assert runner.interesting_examples

    assert len(set(database.fetch(key))) == 1
    assert len(set(database.fetch(runner.secondary_key))) == 10

    runner.clear_secondary_key()

    assert len(set(database.fetch(key))) == 1
    assert set(
        map(int_from_bytes, database.fetch(runner.secondary_key))
    ) == set(range(6, 11))

    v, = runner.interesting_examples.values()

    assert list(v.buffer) == [5]

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_returning_non_none_does_not_fail_if_health_check_disabled():
    @given(st.integers())
    @settings(suppress_health_check=HealthCheck.all())
    def a(x):
        return 1

    a()

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_notes_hard_to_satisfy():
    @given(st.integers())
    @settings(suppress_health_check=HealthCheck.all())
    def test(i):
        assume(i == 0)

    stats = call_for_statistics(test)
    assert 'satisfied assumptions' in stats.exit_reason

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_raises_unsatisfiable_if_all_false():
    @given(integers())
    @settings(max_examples=50, suppress_health_check=HealthCheck.all())
    def test_assume_false(x):
        reject()

    with pytest.raises(Unsatisfiable):
        test_assume_false()

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_default_health_check_can_weaken_specific():
    import random

    @settings(suppress_health_check=HealthCheck.all())
    @given(st.lists(st.integers(), min_size=1))
    def test(x):
        random.choice(x)

    test()

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_always_reduces_integers_to_smallest_suitable_sizes(problem):
    n, blob = problem
    blob = hbytes(blob)
    try:
        d = ConjectureData.for_buffer(blob)
        k = d.draw(st.integers())
        stop = blob[len(d.buffer)]
    except (StopTest, IndexError):
        reject()

    assume(k > n)
    assume(stop > 0)

    def f(data):
        k = data.draw(st.integers())
        data.output = repr(k)
        if data.draw_bits(8) == stop and k >= n:
            data.mark_interesting()

    runner = ConjectureRunner(f, random=Random(0), settings=settings(
        suppress_health_check=HealthCheck.all(), timeout=unlimited,
        phases=(Phase.shrink,), database=None, verbosity=Verbosity.debug
    ), database_key=None)

    runner.test_function(ConjectureData.for_buffer(blob))

    assert runner.interesting_examples

    v, = runner.interesting_examples.values()

    shrinker = runner.new_shrinker(v, lambda x: x.status == Status.INTERESTING)

    shrinker.clear_passes()
    shrinker.add_new_pass('minimize_individual_blocks')

    shrinker.shrink()

    v = shrinker.shrink_target

    m = ConjectureData.for_buffer(v.buffer).draw(st.integers())
    assert m == n

    # Upper bound on the length needed is calculated as follows:
    # * We have an initial byte at the beginning to decide the length of the
    #   integer.
    # * We have a terminal byte as the stop value.
    # * The rest is the integer payload. This should be n. Including the sign
    #   bit, n needs (1 + n.bit_length()) / 8 bytes (rounded up). But we only
    #   have power of two sizes, so it may be up to a factor of two more than
    #   that.
    bits_needed = 1 + n.bit_length()
    actual_bits_needed = min(
        [s for s in WideRangeIntStrategy.sizes if s >= bits_needed])
    bytes_needed = actual_bits_needed // 8
    # 3 extra bytes: two for the sampler, one for the capping value.
    assert len(v.buffer) == 3 + bytes_needed

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def run_to_buffer(f):
    with deterministic_PRNG():
        runner = ConjectureRunner(f, settings=settings(
            max_examples=5000, buffer_size=1024,
            database=None, suppress_health_check=HealthCheck.all(),
        ))
        runner.run()
        assert runner.interesting_examples
        last_data, = runner.interesting_examples.values()
        return hbytes(last_data.buffer)

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
 def accept(f):
     with deterministic_PRNG():
         runner = ConjectureRunner(f, settings=settings(
             max_examples=5000, buffer_size=1024,
             database=None, suppress_health_check=HealthCheck.all(),
         ))
         runner.test_function(ConjectureData.for_buffer(start))
         assert runner.interesting_examples
         last_data, = runner.interesting_examples.values()
         return runner.new_shrinker(
             last_data, lambda d: d.status == Status.INTERESTING
         )

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_exit_because_max_iterations():

    def f(data):
        data.draw_bits(64)
        data.mark_invalid()

    runner = ConjectureRunner(f, settings=settings(
        max_examples=1, buffer_size=1024,
        database=None, suppress_health_check=HealthCheck.all(),
    ))

    runner.run()

    assert runner.call_count <= 1000
    assert runner.exit_reason == ExitReason.max_iterations

# 需要导入模块: from hypothesis import HealthCheck [as 别名]
# 或者: from hypothesis.HealthCheck import all [as 别名]
def test_large_initial_write():
    big = hbytes(b'\xff') * 512

    def f(data):
        data.write(big)
        data.draw_bits(63)

    with deterministic_PRNG():
        runner = ConjectureRunner(f, settings=settings(
            max_examples=5000, buffer_size=1024,
            database=None, suppress_health_check=HealthCheck.all(),
        ))
        runner.run()

    assert runner.exit_reason == ExitReason.finished