def __init__(self,
center,
left_edge,
right_edge,
fields=None,
ds=None,
field_parameters=None,
data_source=None):
if center is not None:
validate_center(center)
validate_3d_array(left_edge)
validate_3d_array(right_edge)
validate_iterable(fields)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
YTSelectionContainer3D.__init__(self, center, ds, field_parameters,
data_source)
if not isinstance(left_edge, YTArray):
self.left_edge = self.ds.arr(left_edge, 'code_length')
else:
# need to assign this dataset's unit registry to the YTArray
self.left_edge = self.ds.arr(left_edge.copy())
if not isinstance(right_edge, YTArray):
self.right_edge = self.ds.arr(right_edge, 'code_length')
else:
# need to assign this dataset's unit registry to the YTArray
self.right_edge = self.ds.arr(right_edge.copy())
def __init__(self,
normal,
center,
north_vector=None,
ds=None,
field_parameters=None,
data_source=None):
validate_3d_array(normal)
validate_center(center)
if north_vector is not None:
validate_3d_array(north_vector)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
YTSelectionContainer2D.__init__(self, 4, ds, field_parameters,
data_source)
self._set_center(center)
self.set_field_parameter('center', center)
# Let's set up our plane equation
# ax + by + cz + d = 0
self.orienter = Orientation(normal, north_vector=north_vector)
self._norm_vec = self.orienter.normal_vector
self._d = -1.0 * np.dot(self._norm_vec, self.center)
self._x_vec = self.orienter.unit_vectors[0]
self._y_vec = self.orienter.unit_vectors[1]
# First we try all three, see which has the best result:
self._rot_mat = np.array([self._x_vec, self._y_vec, self._norm_vec])
self._inv_mat = np.linalg.pinv(self._rot_mat)
self.set_field_parameter('cp_x_vec', self._x_vec)
self.set_field_parameter('cp_y_vec', self._y_vec)
self.set_field_parameter('cp_z_vec', self._norm_vec)
def __init__(self,
center,
normal,
radius,
height,
fields=None,
ds=None,
field_parameters=None,
data_source=None):
validate_center(center)
validate_3d_array(normal)
validate_float(radius)
validate_float(height)
validate_iterable(fields)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
YTSelectionContainer3D.__init__(self, center, ds, field_parameters,
data_source)
self._norm_vec = np.array(normal) / np.sqrt(np.dot(normal, normal))
self.set_field_parameter("normal", self._norm_vec)
self.set_field_parameter("center", self.center)
self.height = fix_length(height, self.ds)
self.radius = fix_length(radius, self.ds)
self._d = -1.0 * np.dot(self._norm_vec, self.center)
def __init__(self, center, A, B, C, e0, tilt, fields=None,
ds=None, field_parameters=None, data_source=None):
validate_center(center)
validate_float(A)
validate_float(B)
validate_float(C)
validate_3d_array(e0)
validate_float(tilt)
validate_iterable(fields)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
YTSelectionContainer3D.__init__(self, center, ds,
field_parameters, data_source)
# make sure the magnitudes of semi-major axes are in order
if A<B or B<C:
raise YTEllipsoidOrdering(ds, A, B, C)
# make sure the smallest side is not smaller than dx
self._A = self.ds.quan(A, 'code_length')
self._B = self.ds.quan(B, 'code_length')
self._C = self.ds.quan(C, 'code_length')
if self._C < self.index.get_smallest_dx():
raise YTSphereTooSmall(self.ds, self._C, self.index.get_smallest_dx())
self._e0 = e0 = e0 / (e0**2.0).sum()**0.5
self._tilt = tilt
# find the t1 angle needed to rotate about z axis to align e0 to x
t1 = np.arctan(e0[1] / e0[0])
# rotate e0 by -t1
RZ = get_rotation_matrix(t1, (0,0,1)).transpose()
r1 = (e0 * RZ).sum(axis = 1)
# find the t2 angle needed to rotate about y axis to align e0 to x
t2 = np.arctan(-r1[2] / r1[0])
"""
calculate the original e1
given the tilt about the x axis when e0 was aligned
to x after t1, t2 rotations about z, y
"""
RX = get_rotation_matrix(-tilt, (1, 0, 0)).transpose()
RY = get_rotation_matrix(-t2, (0, 1, 0)).transpose()
RZ = get_rotation_matrix(-t1, (0, 0, 1)).transpose()
e1 = ((0, 1, 0) * RX).sum(axis=1)
e1 = (e1 * RY).sum(axis=1)
e1 = (e1 * RZ).sum(axis=1)
e2 = np.cross(e0, e1)
self._e1 = e1
self._e2 = e2
self.set_field_parameter('A', A)
self.set_field_parameter('B', B)
self.set_field_parameter('C', C)
self.set_field_parameter('e0', e0)
self.set_field_parameter('e1', e1)
self.set_field_parameter('e2', e2)
def __init__(
self, obj_list, ds=None, field_parameters=None, data_source=None, center=None
):
validate_iterable(obj_list)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
if center is not None:
validate_center(center)
YTSelectionContainer3D.__init__(self, center, ds, field_parameters, data_source)
self._obj_ids = np.array([o.id - o._id_offset for o in obj_list], dtype="int64")
self._obj_list = obj_list
def __init__(
self, axis, coord, center=None, ds=None, field_parameters=None, data_source=None
):
validate_axis(ds, axis)
validate_float(coord)
# center is an optional parameter
if center is not None:
validate_center(center)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
YTSelectionContainer2D.__init__(self, axis, ds, field_parameters, data_source)
self._set_center(center)
self.coord = coord
def __init__(self, center, radius, ds=None,
field_parameters=None, data_source=None):
validate_center(center)
validate_float(radius)
validate_object(ds, Dataset)
validate_object(field_parameters, dict)
validate_object(data_source, YTSelectionContainer)
super(YTSphere, self).__init__(center, ds,
field_parameters, data_source)
# Unpack the radius, if necessary
radius = fix_length(radius, self.ds)
if radius < self.index.get_smallest_dx():
raise YTSphereTooSmall(ds, radius.in_units("code_length"),
self.index.get_smallest_dx().in_units("code_length"))
self.set_field_parameter('radius', radius)
self.set_field_parameter("center", self.center)
self.radius = radius
def test_validate_center():
validate_center("max")
validate_center("MIN_")
with assert_raises(TypeError) as ex:
validate_center("avg")
desired = ("Expected 'center' to be in ['c', 'center', 'm', 'max', 'min'] "
"or the prefix to be 'max_'/'min_', received 'avg'.")
assert_equal(str(ex.exception), desired)
validate_center(YTQuantity(0.25, "cm"))
validate_center([0.25, 0.25, 0.25])
class CustomCenter:
def __init__(self, center):
self.center = center
with assert_raises(TypeError) as ex:
validate_center(CustomCenter(10))
desired = ("Expected 'center' to be a numeric object of type "
"list/tuple/np.ndarray/YTArray/YTQuantity, received "
"'yt.tests.test_funcs.test_validate_center.<locals>."
"CustomCenter'.")
assert_equal(str(ex.exception)[:50], desired[:50])