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, 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, 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, start_point, end_point, ds=None, field_parameters=None, data_source=None): validate_3d_array(start_point) validate_3d_array(end_point) validate_object(ds, Dataset) validate_object(field_parameters, dict) validate_object(data_source, YTSelectionContainer) super(YTRay, self).__init__(ds, field_parameters, data_source) if isinstance(start_point, YTArray): self.start_point = \ self.ds.arr(start_point).to("code_length") else: self.start_point = \ self.ds.arr(start_point, 'code_length', dtype='float64') if isinstance(end_point, YTArray): self.end_point = \ self.ds.arr(end_point).to("code_length") else: self.end_point = \ self.ds.arr(end_point, 'code_length', dtype='float64') self.vec = self.end_point - self.start_point self._set_center(self.start_point) self.set_field_parameter('center', self.start_point) self._dts, self._ts = None, None
def __init__(self, start_point, end_point, ds=None, field_parameters=None, data_source=None): validate_3d_array(start_point) validate_3d_array(end_point) validate_object(ds, Dataset) validate_object(field_parameters, dict) validate_object(data_source, YTSelectionContainer) super().__init__(ds, field_parameters, data_source) if isinstance(start_point, YTArray): self.start_point = self.ds.arr(start_point).to("code_length") else: self.start_point = self.ds.arr(start_point, "code_length", dtype="float64") if isinstance(end_point, YTArray): self.end_point = self.ds.arr(end_point).to("code_length") else: self.end_point = self.ds.arr(end_point, "code_length", dtype="float64") if (self.start_point < self.ds.domain_left_edge).any() or ( self.end_point > self.ds.domain_right_edge).any(): mylog.warning( "Ray start or end is outside the domain. " "Returned data will only be for the ray section inside the domain." ) self.vec = self.end_point - self.start_point self._set_center(self.start_point) self.set_field_parameter("center", self.start_point) self._dts, self._ts = None, None
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, p, ds=None, field_parameters=None, data_source=None): validate_3d_array(p) validate_object(ds, Dataset) validate_object(field_parameters, dict) validate_object(data_source, YTSelectionContainer) super(YTPoint, self).__init__(ds, field_parameters, data_source) if isinstance(p, YTArray): # we pass p through ds.arr to ensure code units are attached self.p = self.ds.arr(p) else: self.p = self.ds.arr(p, 'code_length')