示例#1
0
class TestTime:
    def setup_class(self):
        self.s = np.array([
            '2010-11-12T13:14:15.160', '2010-11-12T13:14:15.161',
            '2011-12-13T14:15:16.170'
        ])
        self.t = Time(self.s)
        # Time formats will currently strip any ndarray subtypes, so we cannot
        # initialize a Time with a Masked version of self.s yet. Instead, we
        # work around it, for now only testing that masked are preserved by
        # transformations.
        self.mask = np.array([False, False, True])
        self.mt = self.t._apply(Masked, self.mask)

    def test_initialization(self):
        assert_array_equal(self.mt.jd1.mask, self.mask)
        assert_array_equal(self.mt.jd2.mask, self.mask)
        assert_array_equal(self.mt.jd1.unmasked, self.t.jd1)
        assert_array_equal(self.mt.jd2.unmasked, self.t.jd2)

    @pytest.mark.parametrize('format_', ['jd', 'cxcsec', 'jyear'])
    def test_different_formats(self, format_):
        # Formats do not yet work with everything; e.g., isot is not supported
        # since the Masked class does not yet support structured arrays.
        tfmt = getattr(self.t, format_)
        mtfmt = getattr(self.mt, format_)
        check = mtfmt == tfmt
        assert_array_equal(check.unmasked, np.ones(3, bool))
        assert_array_equal(check.mask, self.mask)

    @pytest.mark.parametrize('scale', ['tai', 'tcb', 'ut1'])
    def test_transformation(self, scale):
        tscl = getattr(self.t, scale)
        mtscl = getattr(self.mt, scale)
        assert_array_equal(mtscl.jd1.mask, self.mask)
        assert_array_equal(mtscl.jd2.mask, self.mask)
        assert_array_equal(mtscl.jd1.unmasked, tscl.jd1)
        assert_array_equal(mtscl.jd2.unmasked, tscl.jd2)
示例#2
0
class TestManipulation:
    """Manipulation of Time objects, ensuring attributes are done correctly."""
    def setup(self):
        mjd = np.arange(50000, 50010)
        frac = np.arange(0., 0.999, 0.2)
        if use_masked_data:
            frac = np.ma.array(frac)
            frac[1] = np.ma.masked
        self.t0 = Time(mjd[:, np.newaxis] + frac, format='mjd', scale='utc')
        self.t1 = Time(mjd[:, np.newaxis] + frac,
                       format='mjd',
                       scale='utc',
                       location=('45d', '50d'))
        self.t2 = Time(mjd[:, np.newaxis] + frac,
                       format='mjd',
                       scale='utc',
                       location=(np.arange(len(frac)), np.arange(len(frac))))
        # Note: location is along last axis only.
        self.t2 = Time(mjd[:, np.newaxis] + frac,
                       format='mjd',
                       scale='utc',
                       location=(np.arange(len(frac)), np.arange(len(frac))))

    def test_ravel(self, masked):
        t0_ravel = self.t0.ravel()
        assert t0_ravel.shape == (self.t0.size, )
        assert np.all(t0_ravel.jd1 == self.t0.jd1.ravel())
        assert np.may_share_memory(t0_ravel.jd1, self.t0.jd1)
        assert t0_ravel.location is None
        t1_ravel = self.t1.ravel()
        assert t1_ravel.shape == (self.t1.size, )
        assert np.all(t1_ravel.jd1 == self.t1.jd1.ravel())
        assert np.may_share_memory(t1_ravel.jd1, self.t1.jd1)
        assert t1_ravel.location is self.t1.location
        t2_ravel = self.t2.ravel()
        assert t2_ravel.shape == (self.t2.size, )
        assert np.all(t2_ravel.jd1 == self.t2.jd1.ravel())
        assert np.may_share_memory(t2_ravel.jd1, self.t2.jd1)
        assert t2_ravel.location.shape == t2_ravel.shape
        # Broadcasting and ravelling cannot be done without a copy.
        assert not np.may_share_memory(t2_ravel.location, self.t2.location)

    def test_flatten(self, masked):
        t0_flatten = self.t0.flatten()
        assert t0_flatten.shape == (self.t0.size, )
        assert t0_flatten.location is None
        # Flatten always makes a copy.
        assert not np.may_share_memory(t0_flatten.jd1, self.t0.jd1)
        t1_flatten = self.t1.flatten()
        assert t1_flatten.shape == (self.t1.size, )
        assert not np.may_share_memory(t1_flatten.jd1, self.t1.jd1)
        assert t1_flatten.location is not self.t1.location
        assert t1_flatten.location == self.t1.location
        t2_flatten = self.t2.flatten()
        assert t2_flatten.shape == (self.t2.size, )
        assert not np.may_share_memory(t2_flatten.jd1, self.t2.jd1)
        assert t2_flatten.location.shape == t2_flatten.shape
        assert not np.may_share_memory(t2_flatten.location, self.t2.location)

    def test_transpose(self, masked):
        t0_transpose = self.t0.transpose()
        assert t0_transpose.shape == (5, 10)
        assert np.all(t0_transpose.jd1 == self.t0.jd1.transpose())
        assert np.may_share_memory(t0_transpose.jd1, self.t0.jd1)
        assert t0_transpose.location is None
        t1_transpose = self.t1.transpose()
        assert t1_transpose.shape == (5, 10)
        assert np.all(t1_transpose.jd1 == self.t1.jd1.transpose())
        assert np.may_share_memory(t1_transpose.jd1, self.t1.jd1)
        assert t1_transpose.location is self.t1.location
        t2_transpose = self.t2.transpose()
        assert t2_transpose.shape == (5, 10)
        assert np.all(t2_transpose.jd1 == self.t2.jd1.transpose())
        assert np.may_share_memory(t2_transpose.jd1, self.t2.jd1)
        assert t2_transpose.location.shape == t2_transpose.shape
        assert np.may_share_memory(t2_transpose.location, self.t2.location)
        # Only one check on T, since it just calls transpose anyway.
        t2_T = self.t2.T
        assert t2_T.shape == (5, 10)
        assert np.all(t2_T.jd1 == self.t2.jd1.T)
        assert np.may_share_memory(t2_T.jd1, self.t2.jd1)
        assert t2_T.location.shape == t2_T.location.shape
        assert np.may_share_memory(t2_T.location, self.t2.location)

    def test_diagonal(self, masked):
        t0_diagonal = self.t0.diagonal()
        assert t0_diagonal.shape == (5, )
        assert np.all(t0_diagonal.jd1 == self.t0.jd1.diagonal())
        assert t0_diagonal.location is None
        assert np.may_share_memory(t0_diagonal.jd1, self.t0.jd1)
        t1_diagonal = self.t1.diagonal()
        assert t1_diagonal.shape == (5, )
        assert np.all(t1_diagonal.jd1 == self.t1.jd1.diagonal())
        assert t1_diagonal.location is self.t1.location
        assert np.may_share_memory(t1_diagonal.jd1, self.t1.jd1)
        t2_diagonal = self.t2.diagonal()
        assert t2_diagonal.shape == (5, )
        assert np.all(t2_diagonal.jd1 == self.t2.jd1.diagonal())
        assert t2_diagonal.location.shape == t2_diagonal.shape
        assert np.may_share_memory(t2_diagonal.jd1, self.t2.jd1)
        assert np.may_share_memory(t2_diagonal.location, self.t2.location)

    def test_swapaxes(self, masked):
        t0_swapaxes = self.t0.swapaxes(0, 1)
        assert t0_swapaxes.shape == (5, 10)
        assert np.all(t0_swapaxes.jd1 == self.t0.jd1.swapaxes(0, 1))
        assert np.may_share_memory(t0_swapaxes.jd1, self.t0.jd1)
        assert t0_swapaxes.location is None
        t1_swapaxes = self.t1.swapaxes(0, 1)
        assert t1_swapaxes.shape == (5, 10)
        assert np.all(t1_swapaxes.jd1 == self.t1.jd1.swapaxes(0, 1))
        assert np.may_share_memory(t1_swapaxes.jd1, self.t1.jd1)
        assert t1_swapaxes.location is self.t1.location
        t2_swapaxes = self.t2.swapaxes(0, 1)
        assert t2_swapaxes.shape == (5, 10)
        assert np.all(t2_swapaxes.jd1 == self.t2.jd1.swapaxes(0, 1))
        assert np.may_share_memory(t2_swapaxes.jd1, self.t2.jd1)
        assert t2_swapaxes.location.shape == t2_swapaxes.shape
        assert np.may_share_memory(t2_swapaxes.location, self.t2.location)

    def test_reshape(self, masked):
        t0_reshape = self.t0.reshape(5, 2, 5)
        assert t0_reshape.shape == (5, 2, 5)
        assert np.all(t0_reshape.jd1 == self.t0._time.jd1.reshape(5, 2, 5))
        assert np.all(t0_reshape.jd2 == self.t0._time.jd2.reshape(5, 2, 5))
        assert np.may_share_memory(t0_reshape.jd1, self.t0.jd1)
        assert np.may_share_memory(t0_reshape.jd2, self.t0.jd2)
        assert t0_reshape.location is None
        t1_reshape = self.t1.reshape(2, 5, 5)
        assert t1_reshape.shape == (2, 5, 5)
        assert np.all(t1_reshape.jd1 == self.t1.jd1.reshape(2, 5, 5))
        assert np.may_share_memory(t1_reshape.jd1, self.t1.jd1)
        assert t1_reshape.location is self.t1.location
        # For reshape(5, 2, 5), the location array can remain the same.
        t2_reshape = self.t2.reshape(5, 2, 5)
        assert t2_reshape.shape == (5, 2, 5)
        assert np.all(t2_reshape.jd1 == self.t2.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t2_reshape.jd1, self.t2.jd1)
        assert t2_reshape.location.shape == t2_reshape.shape
        assert np.may_share_memory(t2_reshape.location, self.t2.location)
        # But for reshape(5, 5, 2), location has to be broadcast and copied.
        t2_reshape2 = self.t2.reshape(5, 5, 2)
        assert t2_reshape2.shape == (5, 5, 2)
        assert np.all(t2_reshape2.jd1 == self.t2.jd1.reshape(5, 5, 2))
        assert np.may_share_memory(t2_reshape2.jd1, self.t2.jd1)
        assert t2_reshape2.location.shape == t2_reshape2.shape
        assert not np.may_share_memory(t2_reshape2.location, self.t2.location)
        t2_reshape_t = self.t2.reshape(10, 5).T
        assert t2_reshape_t.shape == (5, 10)
        assert np.may_share_memory(t2_reshape_t.jd1, self.t2.jd1)
        assert t2_reshape_t.location.shape == t2_reshape_t.shape
        assert np.may_share_memory(t2_reshape_t.location, self.t2.location)
        # Finally, reshape in a way that cannot be a view.
        t2_reshape_t_reshape = t2_reshape_t.reshape(10, 5)
        assert t2_reshape_t_reshape.shape == (10, 5)
        assert not np.may_share_memory(t2_reshape_t_reshape.jd1, self.t2.jd1)
        assert (
            t2_reshape_t_reshape.location.shape == t2_reshape_t_reshape.shape)
        assert not np.may_share_memory(t2_reshape_t_reshape.location,
                                       t2_reshape_t.location)

    def test_shape_setting(self, masked):
        t0_reshape = self.t0.copy()
        mjd = t0_reshape.mjd  # Creates a cache of the mjd attribute
        t0_reshape.shape = (5, 2, 5)
        assert t0_reshape.shape == (5, 2, 5)
        assert mjd.shape != t0_reshape.mjd.shape  # Cache got cleared
        assert np.all(t0_reshape.jd1 == self.t0._time.jd1.reshape(5, 2, 5))
        assert np.all(t0_reshape.jd2 == self.t0._time.jd2.reshape(5, 2, 5))
        assert t0_reshape.location is None
        # But if the shape doesn't work, one should get an error.
        t0_reshape_t = t0_reshape.T
        with pytest.raises(AttributeError):
            t0_reshape_t.shape = (10, 5)
        # check no shape was changed.
        assert t0_reshape_t.shape == t0_reshape.T.shape
        assert t0_reshape_t.jd1.shape == t0_reshape.T.shape
        assert t0_reshape_t.jd2.shape == t0_reshape.T.shape
        t1_reshape = self.t1.copy()
        t1_reshape.shape = (2, 5, 5)
        assert t1_reshape.shape == (2, 5, 5)
        assert np.all(t1_reshape.jd1 == self.t1.jd1.reshape(2, 5, 5))
        # location is a single element, so its shape should not change.
        assert t1_reshape.location.shape == ()
        # For reshape(5, 2, 5), the location array can remain the same.
        # Note that we need to work directly on self.t2 here, since any
        # copy would cause location to have the full shape.
        self.t2.shape = (5, 2, 5)
        assert self.t2.shape == (5, 2, 5)
        assert self.t2.jd1.shape == (5, 2, 5)
        assert self.t2.jd2.shape == (5, 2, 5)
        assert self.t2.location.shape == (5, 2, 5)
        assert self.t2.location.strides == (0, 0, 24)
        # But for reshape(50), location would need to be copied, so this
        # should fail.
        oldshape = self.t2.shape
        with pytest.raises(AttributeError):
            self.t2.shape = (50, )
        # check no shape was changed.
        assert self.t2.jd1.shape == oldshape
        assert self.t2.jd2.shape == oldshape
        assert self.t2.location.shape == oldshape
        # reset t2 to its original.
        self.setup()

    def test_squeeze(self, masked):
        t0_squeeze = self.t0.reshape(5, 1, 2, 1, 5).squeeze()
        assert t0_squeeze.shape == (5, 2, 5)
        assert np.all(t0_squeeze.jd1 == self.t0.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t0_squeeze.jd1, self.t0.jd1)
        assert t0_squeeze.location is None
        t1_squeeze = self.t1.reshape(1, 5, 1, 2, 5).squeeze()
        assert t1_squeeze.shape == (5, 2, 5)
        assert np.all(t1_squeeze.jd1 == self.t1.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t1_squeeze.jd1, self.t1.jd1)
        assert t1_squeeze.location is self.t1.location
        t2_squeeze = self.t2.reshape(1, 1, 5, 2, 5, 1, 1).squeeze()
        assert t2_squeeze.shape == (5, 2, 5)
        assert np.all(t2_squeeze.jd1 == self.t2.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t2_squeeze.jd1, self.t2.jd1)
        assert t2_squeeze.location.shape == t2_squeeze.shape
        assert np.may_share_memory(t2_squeeze.location, self.t2.location)

    def test_add_dimension(self, masked):
        t0_adddim = self.t0[:, np.newaxis, :]
        assert t0_adddim.shape == (10, 1, 5)
        assert np.all(t0_adddim.jd1 == self.t0.jd1[:, np.newaxis, :])
        assert np.may_share_memory(t0_adddim.jd1, self.t0.jd1)
        assert t0_adddim.location is None
        t1_adddim = self.t1[:, :, np.newaxis]
        assert t1_adddim.shape == (10, 5, 1)
        assert np.all(t1_adddim.jd1 == self.t1.jd1[:, :, np.newaxis])
        assert np.may_share_memory(t1_adddim.jd1, self.t1.jd1)
        assert t1_adddim.location is self.t1.location
        t2_adddim = self.t2[:, :, np.newaxis]
        assert t2_adddim.shape == (10, 5, 1)
        assert np.all(t2_adddim.jd1 == self.t2.jd1[:, :, np.newaxis])
        assert np.may_share_memory(t2_adddim.jd1, self.t2.jd1)
        assert t2_adddim.location.shape == t2_adddim.shape
        assert np.may_share_memory(t2_adddim.location, self.t2.location)

    def test_take(self, masked):
        t0_take = self.t0.take((5, 2))
        assert t0_take.shape == (2, )
        assert np.all(t0_take.jd1 == self.t0._time.jd1.take((5, 2)))
        assert t0_take.location is None
        t1_take = self.t1.take((2, 4), axis=1)
        assert t1_take.shape == (10, 2)
        assert np.all(t1_take.jd1 == self.t1.jd1.take((2, 4), axis=1))
        assert t1_take.location is self.t1.location
        t2_take = self.t2.take((1, 3, 7), axis=0)
        assert t2_take.shape == (3, 5)
        assert np.all(t2_take.jd1 == self.t2.jd1.take((1, 3, 7), axis=0))
        assert t2_take.location.shape == t2_take.shape
        t2_take2 = self.t2.take((5, 15))
        assert t2_take2.shape == (2, )
        assert np.all(t2_take2.jd1 == self.t2.jd1.take((5, 15)))
        assert t2_take2.location.shape == t2_take2.shape

    def test_broadcast(self, masked):
        """Test using a callable method."""
        t0_broadcast = self.t0._apply(np.broadcast_to, shape=(3, 10, 5))
        assert t0_broadcast.shape == (3, 10, 5)
        assert np.all(t0_broadcast.jd1 == self.t0.jd1)
        assert np.may_share_memory(t0_broadcast.jd1, self.t0.jd1)
        assert t0_broadcast.location is None
        t1_broadcast = self.t1._apply(np.broadcast_to, shape=(3, 10, 5))
        assert t1_broadcast.shape == (3, 10, 5)
        assert np.all(t1_broadcast.jd1 == self.t1.jd1)
        assert np.may_share_memory(t1_broadcast.jd1, self.t1.jd1)
        assert t1_broadcast.location is self.t1.location
        t2_broadcast = self.t2._apply(np.broadcast_to, shape=(3, 10, 5))
        assert t2_broadcast.shape == (3, 10, 5)
        assert np.all(t2_broadcast.jd1 == self.t2.jd1)
        assert np.may_share_memory(t2_broadcast.jd1, self.t2.jd1)
        assert t2_broadcast.location.shape == t2_broadcast.shape
        assert np.may_share_memory(t2_broadcast.location, self.t2.location)
示例#3
0
class TestManipulation():
    """Manipulation of Time objects, ensuring attributes are done correctly."""

    def setup(self):
        mjd = np.arange(50000, 50010)
        frac = np.arange(0., 0.999, 0.2)
        if use_masked_data:
            frac = np.ma.array(frac)
            frac[1] = np.ma.masked
        self.t0 = Time(mjd[:, np.newaxis] + frac, format='mjd', scale='utc')
        self.t1 = Time(mjd[:, np.newaxis] + frac, format='mjd', scale='utc',
                       location=('45d', '50d'))
        self.t2 = Time(mjd[:, np.newaxis] + frac, format='mjd', scale='utc',
                       location=(np.arange(len(frac)), np.arange(len(frac))))
        # Note: location is along last axis only.
        self.t2 = Time(mjd[:, np.newaxis] + frac, format='mjd', scale='utc',
                       location=(np.arange(len(frac)), np.arange(len(frac))))

    def test_ravel(self, masked):
        t0_ravel = self.t0.ravel()
        assert t0_ravel.shape == (self.t0.size,)
        assert np.all(t0_ravel.jd1 == self.t0.jd1.ravel())
        assert np.may_share_memory(t0_ravel.jd1, self.t0.jd1)
        assert t0_ravel.location is None
        t1_ravel = self.t1.ravel()
        assert t1_ravel.shape == (self.t1.size,)
        assert np.all(t1_ravel.jd1 == self.t1.jd1.ravel())
        assert np.may_share_memory(t1_ravel.jd1, self.t1.jd1)
        assert t1_ravel.location is self.t1.location
        t2_ravel = self.t2.ravel()
        assert t2_ravel.shape == (self.t2.size,)
        assert np.all(t2_ravel.jd1 == self.t2.jd1.ravel())
        assert np.may_share_memory(t2_ravel.jd1, self.t2.jd1)
        assert t2_ravel.location.shape == t2_ravel.shape
        # Broadcasting and ravelling cannot be done without a copy.
        assert not np.may_share_memory(t2_ravel.location, self.t2.location)

    def test_flatten(self, masked):
        t0_flatten = self.t0.flatten()
        assert t0_flatten.shape == (self.t0.size,)
        assert t0_flatten.location is None
        # Flatten always makes a copy.
        assert not np.may_share_memory(t0_flatten.jd1, self.t0.jd1)
        t1_flatten = self.t1.flatten()
        assert t1_flatten.shape == (self.t1.size,)
        assert not np.may_share_memory(t1_flatten.jd1, self.t1.jd1)
        assert t1_flatten.location is not self.t1.location
        assert t1_flatten.location == self.t1.location
        t2_flatten = self.t2.flatten()
        assert t2_flatten.shape == (self.t2.size,)
        assert not np.may_share_memory(t2_flatten.jd1, self.t2.jd1)
        assert t2_flatten.location.shape == t2_flatten.shape
        assert not np.may_share_memory(t2_flatten.location, self.t2.location)

    def test_transpose(self, masked):
        t0_transpose = self.t0.transpose()
        assert t0_transpose.shape == (5, 10)
        assert np.all(t0_transpose.jd1 == self.t0.jd1.transpose())
        assert np.may_share_memory(t0_transpose.jd1, self.t0.jd1)
        assert t0_transpose.location is None
        t1_transpose = self.t1.transpose()
        assert t1_transpose.shape == (5, 10)
        assert np.all(t1_transpose.jd1 == self.t1.jd1.transpose())
        assert np.may_share_memory(t1_transpose.jd1, self.t1.jd1)
        assert t1_transpose.location is self.t1.location
        t2_transpose = self.t2.transpose()
        assert t2_transpose.shape == (5, 10)
        assert np.all(t2_transpose.jd1 == self.t2.jd1.transpose())
        assert np.may_share_memory(t2_transpose.jd1, self.t2.jd1)
        assert t2_transpose.location.shape == t2_transpose.shape
        assert np.may_share_memory(t2_transpose.location, self.t2.location)
        # Only one check on T, since it just calls transpose anyway.
        t2_T = self.t2.T
        assert t2_T.shape == (5, 10)
        assert np.all(t2_T.jd1 == self.t2.jd1.T)
        assert np.may_share_memory(t2_T.jd1, self.t2.jd1)
        assert t2_T.location.shape == t2_T.location.shape
        assert np.may_share_memory(t2_T.location, self.t2.location)

    def test_diagonal(self, masked):
        t0_diagonal = self.t0.diagonal()
        assert t0_diagonal.shape == (5,)
        assert np.all(t0_diagonal.jd1 == self.t0.jd1.diagonal())
        assert t0_diagonal.location is None
        assert np.may_share_memory(t0_diagonal.jd1, self.t0.jd1)
        t1_diagonal = self.t1.diagonal()
        assert t1_diagonal.shape == (5,)
        assert np.all(t1_diagonal.jd1 == self.t1.jd1.diagonal())
        assert t1_diagonal.location is self.t1.location
        assert np.may_share_memory(t1_diagonal.jd1, self.t1.jd1)
        t2_diagonal = self.t2.diagonal()
        assert t2_diagonal.shape == (5,)
        assert np.all(t2_diagonal.jd1 == self.t2.jd1.diagonal())
        assert t2_diagonal.location.shape == t2_diagonal.shape
        assert np.may_share_memory(t2_diagonal.jd1, self.t2.jd1)
        assert np.may_share_memory(t2_diagonal.location, self.t2.location)

    def test_swapaxes(self, masked):
        t0_swapaxes = self.t0.swapaxes(0, 1)
        assert t0_swapaxes.shape == (5, 10)
        assert np.all(t0_swapaxes.jd1 == self.t0.jd1.swapaxes(0, 1))
        assert np.may_share_memory(t0_swapaxes.jd1, self.t0.jd1)
        assert t0_swapaxes.location is None
        t1_swapaxes = self.t1.swapaxes(0, 1)
        assert t1_swapaxes.shape == (5, 10)
        assert np.all(t1_swapaxes.jd1 == self.t1.jd1.swapaxes(0, 1))
        assert np.may_share_memory(t1_swapaxes.jd1, self.t1.jd1)
        assert t1_swapaxes.location is self.t1.location
        t2_swapaxes = self.t2.swapaxes(0, 1)
        assert t2_swapaxes.shape == (5, 10)
        assert np.all(t2_swapaxes.jd1 == self.t2.jd1.swapaxes(0, 1))
        assert np.may_share_memory(t2_swapaxes.jd1, self.t2.jd1)
        assert t2_swapaxes.location.shape == t2_swapaxes.shape
        assert np.may_share_memory(t2_swapaxes.location, self.t2.location)

    def test_reshape(self, masked):
        t0_reshape = self.t0.reshape(5, 2, 5)
        assert t0_reshape.shape == (5, 2, 5)
        assert np.all(t0_reshape.jd1 == self.t0._time.jd1.reshape(5, 2, 5))
        assert np.all(t0_reshape.jd2 == self.t0._time.jd2.reshape(5, 2, 5))
        assert np.may_share_memory(t0_reshape.jd1, self.t0.jd1)
        assert np.may_share_memory(t0_reshape.jd2, self.t0.jd2)
        assert t0_reshape.location is None
        t1_reshape = self.t1.reshape(2, 5, 5)
        assert t1_reshape.shape == (2, 5, 5)
        assert np.all(t1_reshape.jd1 == self.t1.jd1.reshape(2, 5, 5))
        assert np.may_share_memory(t1_reshape.jd1, self.t1.jd1)
        assert t1_reshape.location is self.t1.location
        # For reshape(5, 2, 5), the location array can remain the same.
        t2_reshape = self.t2.reshape(5, 2, 5)
        assert t2_reshape.shape == (5, 2, 5)
        assert np.all(t2_reshape.jd1 == self.t2.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t2_reshape.jd1, self.t2.jd1)
        assert t2_reshape.location.shape == t2_reshape.shape
        assert np.may_share_memory(t2_reshape.location, self.t2.location)
        # But for reshape(5, 5, 2), location has to be broadcast and copied.
        t2_reshape2 = self.t2.reshape(5, 5, 2)
        assert t2_reshape2.shape == (5, 5, 2)
        assert np.all(t2_reshape2.jd1 == self.t2.jd1.reshape(5, 5, 2))
        assert np.may_share_memory(t2_reshape2.jd1, self.t2.jd1)
        assert t2_reshape2.location.shape == t2_reshape2.shape
        assert not np.may_share_memory(t2_reshape2.location, self.t2.location)
        t2_reshape_t = self.t2.reshape(10, 5).T
        assert t2_reshape_t.shape == (5, 10)
        assert np.may_share_memory(t2_reshape_t.jd1, self.t2.jd1)
        assert t2_reshape_t.location.shape == t2_reshape_t.shape
        assert np.may_share_memory(t2_reshape_t.location, self.t2.location)
        # Finally, reshape in a way that cannot be a view.
        t2_reshape_t_reshape = t2_reshape_t.reshape(10, 5)
        assert t2_reshape_t_reshape.shape == (10, 5)
        assert not np.may_share_memory(t2_reshape_t_reshape.jd1, self.t2.jd1)
        assert (t2_reshape_t_reshape.location.shape ==
                t2_reshape_t_reshape.shape)
        assert not np.may_share_memory(t2_reshape_t_reshape.location,
                                       t2_reshape_t.location)

    def test_shape_setting(self, masked):
        t0_reshape = self.t0.copy()
        mjd = t0_reshape.mjd  # Creates a cache of the mjd attribute
        t0_reshape.shape = (5, 2, 5)
        assert t0_reshape.shape == (5, 2, 5)
        assert mjd.shape != t0_reshape.mjd.shape  # Cache got cleared
        assert np.all(t0_reshape.jd1 == self.t0._time.jd1.reshape(5, 2, 5))
        assert np.all(t0_reshape.jd2 == self.t0._time.jd2.reshape(5, 2, 5))
        assert t0_reshape.location is None
        # But if the shape doesn't work, one should get an error.
        t0_reshape_t = t0_reshape.T
        with pytest.raises(AttributeError):
            t0_reshape_t.shape = (10, 5)
        # check no shape was changed.
        assert t0_reshape_t.shape == t0_reshape.T.shape
        assert t0_reshape_t.jd1.shape == t0_reshape.T.shape
        assert t0_reshape_t.jd2.shape == t0_reshape.T.shape
        t1_reshape = self.t1.copy()
        t1_reshape.shape = (2, 5, 5)
        assert t1_reshape.shape == (2, 5, 5)
        assert np.all(t1_reshape.jd1 == self.t1.jd1.reshape(2, 5, 5))
        # location is a single element, so its shape should not change.
        assert t1_reshape.location.shape == ()
        # For reshape(5, 2, 5), the location array can remain the same.
        # Note that we need to work directly on self.t2 here, since any
        # copy would cause location to have the full shape.
        self.t2.shape = (5, 2, 5)
        assert self.t2.shape == (5, 2, 5)
        assert self.t2.jd1.shape == (5, 2, 5)
        assert self.t2.jd2.shape == (5, 2, 5)
        assert self.t2.location.shape == (5, 2, 5)
        assert self.t2.location.strides == (0, 0, 24)
        # But for reshape(50), location would need to be copied, so this
        # should fail.
        oldshape = self.t2.shape
        with pytest.raises(AttributeError):
            self.t2.shape = (50,)
        # check no shape was changed.
        assert self.t2.jd1.shape == oldshape
        assert self.t2.jd2.shape == oldshape
        assert self.t2.location.shape == oldshape
        # reset t2 to its original.
        self.setup()

    def test_squeeze(self, masked):
        t0_squeeze = self.t0.reshape(5, 1, 2, 1, 5).squeeze()
        assert t0_squeeze.shape == (5, 2, 5)
        assert np.all(t0_squeeze.jd1 == self.t0.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t0_squeeze.jd1, self.t0.jd1)
        assert t0_squeeze.location is None
        t1_squeeze = self.t1.reshape(1, 5, 1, 2, 5).squeeze()
        assert t1_squeeze.shape == (5, 2, 5)
        assert np.all(t1_squeeze.jd1 == self.t1.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t1_squeeze.jd1, self.t1.jd1)
        assert t1_squeeze.location is self.t1.location
        t2_squeeze = self.t2.reshape(1, 1, 5, 2, 5, 1, 1).squeeze()
        assert t2_squeeze.shape == (5, 2, 5)
        assert np.all(t2_squeeze.jd1 == self.t2.jd1.reshape(5, 2, 5))
        assert np.may_share_memory(t2_squeeze.jd1, self.t2.jd1)
        assert t2_squeeze.location.shape == t2_squeeze.shape
        assert np.may_share_memory(t2_squeeze.location, self.t2.location)

    def test_add_dimension(self, masked):
        t0_adddim = self.t0[:, np.newaxis, :]
        assert t0_adddim.shape == (10, 1, 5)
        assert np.all(t0_adddim.jd1 == self.t0.jd1[:, np.newaxis, :])
        assert np.may_share_memory(t0_adddim.jd1, self.t0.jd1)
        assert t0_adddim.location is None
        t1_adddim = self.t1[:, :, np.newaxis]
        assert t1_adddim.shape == (10, 5, 1)
        assert np.all(t1_adddim.jd1 == self.t1.jd1[:, :, np.newaxis])
        assert np.may_share_memory(t1_adddim.jd1, self.t1.jd1)
        assert t1_adddim.location is self.t1.location
        t2_adddim = self.t2[:, :, np.newaxis]
        assert t2_adddim.shape == (10, 5, 1)
        assert np.all(t2_adddim.jd1 == self.t2.jd1[:, :, np.newaxis])
        assert np.may_share_memory(t2_adddim.jd1, self.t2.jd1)
        assert t2_adddim.location.shape == t2_adddim.shape
        assert np.may_share_memory(t2_adddim.location, self.t2.location)

    def test_take(self, masked):
        t0_take = self.t0.take((5, 2))
        assert t0_take.shape == (2,)
        assert np.all(t0_take.jd1 == self.t0._time.jd1.take((5, 2)))
        assert t0_take.location is None
        t1_take = self.t1.take((2, 4), axis=1)
        assert t1_take.shape == (10, 2)
        assert np.all(t1_take.jd1 == self.t1.jd1.take((2, 4), axis=1))
        assert t1_take.location is self.t1.location
        t2_take = self.t2.take((1, 3, 7), axis=0)
        assert t2_take.shape == (3, 5)
        assert np.all(t2_take.jd1 == self.t2.jd1.take((1, 3, 7), axis=0))
        assert t2_take.location.shape == t2_take.shape
        t2_take2 = self.t2.take((5, 15))
        assert t2_take2.shape == (2,)
        assert np.all(t2_take2.jd1 == self.t2.jd1.take((5, 15)))
        assert t2_take2.location.shape == t2_take2.shape

    def test_broadcast(self, masked):
        """Test using a callable method."""
        t0_broadcast = self.t0._apply(np.broadcast_to, shape=(3, 10, 5))
        assert t0_broadcast.shape == (3, 10, 5)
        assert np.all(t0_broadcast.jd1 == self.t0.jd1)
        assert np.may_share_memory(t0_broadcast.jd1, self.t0.jd1)
        assert t0_broadcast.location is None
        t1_broadcast = self.t1._apply(np.broadcast_to, shape=(3, 10, 5))
        assert t1_broadcast.shape == (3, 10, 5)
        assert np.all(t1_broadcast.jd1 == self.t1.jd1)
        assert np.may_share_memory(t1_broadcast.jd1, self.t1.jd1)
        assert t1_broadcast.location is self.t1.location
        t2_broadcast = self.t2._apply(np.broadcast_to, shape=(3, 10, 5))
        assert t2_broadcast.shape == (3, 10, 5)
        assert np.all(t2_broadcast.jd1 == self.t2.jd1)
        assert np.may_share_memory(t2_broadcast.jd1, self.t2.jd1)
        assert t2_broadcast.location.shape == t2_broadcast.shape
        assert np.may_share_memory(t2_broadcast.location, self.t2.location)