def make_curve(self, control_points):
curves = []
for series in control_points:
xs = [p.x for p in series]
min_x = xs[0]
max_x = xs[-1]
series = np.array([p.to_tuple() for p in series])
xs = np.array(xs)
if self.mode == 'SPL':
spline = CubicSpline(series, tknots=xs, is_cyclic=False)
else:
spline = LinearSpline(series, tknots=xs, is_cyclic=False)
curve = SvSplineCurve(spline)
curve.u_bounds = (series[0][0], series[-1][0])
curves.append(curve)
if len(curves) == 1:
return curves[0]
else:
return SvConcatCurve(curves)
def process(self):
if not any(socket.is_linked for socket in self.outputs):
return
x_s = self.inputs['x'].sv_get()
var_names = self.get_variables()
inputs = self.get_input()
input_values = [inputs.get(name, [[0]]) for name in var_names]
if var_names:
parameters = match_long_repeat([x_s] + input_values)
else:
parameters = [x_s]
y_out = []
curve_out = []
ct_points_out = []
for xs_in, *objects in zip(*parameters):
if var_names:
var_values_s = zip_long_repeat(*objects)
else:
var_values_s = [[]]
for var_values in var_values_s:
variables = dict(zip(var_names, var_values))
control_points = self.make_points(variables)
spline = self.make_spline(control_points)
ys = self.eval_spline(spline, xs_in)
curve = SvSplineCurve(spline)
curve.u_bounds = (control_points[0][0], control_points[-1][0])
y_out.append(ys)
curve_out.append(curve)
ct_points_out.append(control_points)
self.outputs['Result'].sv_set(y_out)
self.outputs['Curve'].sv_set(curve_out)
self.outputs['ControlPoints'].sv_set(ct_points_out)