Python nose.tools方法代碼示例

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_nose_setup(testdir):
    p = testdir.makepyfile(
        """
        values = []
        from nose.tools import with_setup

        @with_setup(lambda: values.append(1), lambda: values.append(2))
        def test_hello():
            assert values == [1]

        def test_world():
            assert values == [1,2]

        test_hello.setup = lambda: values.append(1)
        test_hello.teardown = lambda: values.append(2)
    """
    )
    result = testdir.runpytest(p, "-p", "nose")
    result.assert_outcomes(passed=2) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_nose_setup_func_failure(testdir):
    p = testdir.makepyfile(
        """
        from nose.tools import with_setup

        values = []
        my_setup = lambda x: 1
        my_teardown = lambda x: 2

        @with_setup(my_setup, my_teardown)
        def test_hello():
            print(values)
            assert values == [1]

        def test_world():
            print(values)
            assert values == [1,2]

    """
    )
    result = testdir.runpytest(p, "-p", "nose")
    result.stdout.fnmatch_lines(["*TypeError: <lambda>()*"]) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def setastest(tf=True):
    """
    Signals to nose that this function is or is not a test.

    Parameters
    ----------
    tf : bool
        If True, specifies that the decorated callable is a test.
        If False, specifies that the decorated callable is not a test.
        Default is True.

    Notes
    -----
    This decorator can't use the nose namespace, because it can be
    called from a non-test module. See also ``istest`` and ``nottest`` in
    ``nose.tools``.

    Examples
    --------
    `setastest` can be used in the following way::

      from numpy.testing import dec

      @dec.setastest(False)
      def func_with_test_in_name(arg1, arg2):
          pass

    """
    def set_test(t):
        t.__test__ = tf
        return t
    return set_test 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def setastest(tf=True):
    """
    Signals to nose that this function is or is not a test.

    Parameters
    ----------
    tf : bool
        If True, specifies that the decorated callable is a test.
        If False, specifies that the decorated callable is not a test.
        Default is True.

    Notes
    -----
    This decorator can't use the nose namespace, because it can be
    called from a non-test module. See also ``istest`` and ``nottest`` in
    ``nose.tools``.

    Examples
    --------
    `setastest` can be used in the following way::

      from numpy.testing.decorators import setastest

      @setastest(False)
      def func_with_test_in_name(arg1, arg2):
          pass

    """
    def set_test(t):
        t.__test__ = tf
        return t
    return set_test 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def apply_wrapper(wrapper,func):
    """Apply a wrapper to a function for decoration.

    This mixes Michele Simionato's decorator tool with nose's make_decorator,
    to apply a wrapper in a decorator so that all nose attributes, as well as
    function signature and other properties, survive the decoration cleanly.
    This will ensure that wrapped functions can still be well introspected via
    IPython, for example.
    """
    import nose.tools

    return decorator(wrapper,nose.tools.make_decorator(func)(wrapper)) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_time_rotation_index_decoding(self, socket_mock):
        handler = {'name':'name', 'log_dir':'/tmp', 'rotate_log':True}
        sl = bsc.SocketStreamCapturer(handler, ['', 9000], 'udp')

        # We expect an error when we input a bad time index value
        nose.tools.assert_raises(
            ValueError,
            sl._decode_time_rotation_index,
            'this is not a valid value'
        )

        assert 2 == sl._decode_time_rotation_index('tm_mday') 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def testArrayType():
    array  = dtype.ArrayType('MSB_U16', 3)
    bin123 = b'\x00\x01\x00\x02\x00\x03'
    bin456 = b'\x00\x04\x00\x05\x00\x06'

    assert array.name   == 'MSB_U16[3]'
    assert array.nbits  == 3 * 16
    assert array.nbytes == 3 *  2
    assert array.nelems == 3
    assert array.type   == dtype.PrimitiveType('MSB_U16')

    assert array.encode(1, 2, 3)   == bin123
    assert array.decode(bin456)    == [4, 5, 6]
    assert array.decode(bin456, 0) == 4
    assert array.decode(bin456, 1) == 5
    assert array.decode(bin456, 2) == 6
    assert array.decode(bin456, slice(1, 3)) == [5, 6]

    with nose.tools.assert_raises(ValueError):
        array.encode(1, 2)

    with nose.tools.assert_raises(IndexError):
        array.decode(bin456[1:5])

    with nose.tools.assert_raises(IndexError):
        array.decode(bin456, 3)

    with nose.tools.assert_raises(TypeError):
        array.decode(bin456, 'foo')

    with nose.tools.assert_raises(TypeError):
        dtype.ArrayType('U8', '4') 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def testget():
    assert isinstance( dtype.get("U8")    , dtype.PrimitiveType )
    assert isinstance( dtype.get("S40")   , dtype.PrimitiveType )
    assert isinstance( dtype.get("TIME32"), dtype.Time32Type    )

    assert dtype.get('LSB_U32[10]') == dtype.ArrayType('LSB_U32', 10)

    with nose.tools.assert_raises(ValueError):
        dtype.get('U8["foo"]')

    with nose.tools.assert_raises(ValueError):
        dtype.get('U8[-42]') 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_jknife_1d(self):
        pseudovalues = np.atleast_2d(np.arange(10)).T
        (est, var, se, cov) = jk.Jackknife.jknife(pseudovalues)
        nose.tools.assert_almost_equal(var, 0.91666667)
        nose.tools.assert_almost_equal(est, 4.5)
        nose.tools.assert_almost_equal(cov, var)
        nose.tools.assert_almost_equal(se ** 2, var)
        self.assertTrue(not np.any(np.isnan(cov)))
        assert_array_equal(cov.shape, (1, 1))
        assert_array_equal(var.shape, (1, 1))
        assert_array_equal(est.shape, (1, 1))
        assert_array_equal(se.shape, (1, 1)) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_delete_to_pseudo(self):
        for dim in [1, 2]:
            est = np.ones((1, dim))
            delete_values = np.ones((20, dim))
            x = jk.Jackknife.delete_values_to_pseudovalues(delete_values, est)
            assert_array_equal(x, np.ones_like(delete_values))

        est = est.T
        nose.tools.assert_raises(
            ValueError, jk.Jackknife.delete_values_to_pseudovalues, delete_values, est) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_remove_brackets():
    x = ' [] [] asdf [] '
    nose.tools.assert_equal(reg.remove_brackets(x), 'asdf') 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_polar_units():
    import matplotlib.testing.jpl_units as units
    from nose.tools import assert_true
    units.register()

    pi = np.pi
    deg = units.UnitDbl(1.0, "deg")
    km = units.UnitDbl(1.0, "km")

    x1 = [pi/6.0, pi/4.0, pi/3.0, pi/2.0]
    x2 = [30.0*deg, 45.0*deg, 60.0*deg, 90.0*deg]

    y1 = [1.0, 2.0, 3.0, 4.0]
    y2 = [4.0, 3.0, 2.0, 1.0]

    fig = plt.figure()

    plt.polar(x2, y1, color="blue")

    # polar(x2, y1, color = "red", xunits="rad")
    # polar(x2, y2, color = "green")

    fig = plt.figure()

    # make sure runits and theta units work
    y1 = [y*km for y in y1]
    plt.polar(x2, y1, color="blue", thetaunits="rad", runits="km")
    assert_true(isinstance(plt.gca().get_xaxis().get_major_formatter(), units.UnitDblFormatter)) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_LogFormatterExponent():
    class FakeAxis(object):
        """Allow Formatter to be called without having a "full" plot set up."""
        def get_view_interval(self):
            return 1, 10

    i = np.arange(-3, 4, dtype=float)
    expected_result = ['-3', '-2', '-1', '0', '1', '2', '3']
    for base in [2, 5, 10, np.pi, np.e]:
        formatter = mticker.LogFormatterExponent(base=base)
        formatter.axis = FakeAxis()
        vals = base**i
        labels = [formatter(x, pos) for (x, pos) in zip(vals, i)]
        nose.tools.assert_equal(labels, expected_result)

    # Should be a blank string for non-integer powers if labelOnlyBase=True
    formatter = mticker.LogFormatterExponent(base=10, labelOnlyBase=True)
    formatter.axis = FakeAxis()
    nose.tools.assert_equal(formatter(10**0.1), '')

    # Otherwise, non-integer powers should be nicely formatted
    locs = np.array([0.1, 0.00001, np.pi, 0.2, -0.2, -0.00001])
    i = range(len(locs))
    expected_result = ['0.1', '1e-05', '3.14', '0.2', '-0.2', '-1e-05']
    for base in [2, 5, 10, np.pi, np.e]:
        formatter = mticker.LogFormatterExponent(base, labelOnlyBase=False)
        formatter.axis = FakeAxis()
        vals = base**locs
        labels = [formatter(x, pos) for (x, pos) in zip(vals, i)]
        nose.tools.assert_equal(labels, expected_result) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_use_offset():
    for use_offset in [True, False]:
        with matplotlib.rc_context({'axes.formatter.useoffset': use_offset}):
            tmp_form = mticker.ScalarFormatter()
            nose.tools.assert_equal(use_offset, tmp_form.get_useOffset()) 

# 需要導入模塊: import nose [as 別名]
# 或者: from nose import tools [as 別名]
def test_formatstrformatter():
    # test % style formatter
    tmp_form = mticker.FormatStrFormatter('%05d')
    nose.tools.assert_equal('00002', tmp_form(2))

    # test str.format() style formatter
    tmp_form = mticker.StrMethodFormatter('{x:05d}')
    nose.tools.assert_equal('00002', tmp_form(2))