def update_submobject(self, submobject, starting_sumobject, alpha):
submobject.points[:, :] = starting_sumobject.points
submobject.scale(interpolate(1, self.scale_value,
there_and_back(alpha)),
about_point=self.scale_about_point)
submobject.rotate(wiggle(alpha, self.n_wiggles) * self.rotation_angle,
about_point=self.rotate_about_point)
def update_submobject(self, submobject, starting_sumobject, alpha):
submobject.points[:, :] = starting_sumobject.points
submobject.scale(
interpolate(1, self.scale_value, there_and_back(alpha)),
about_point=self.scale_about_point
)
submobject.rotate(
wiggle(alpha, self.n_wiggles) * self.rotation_angle,
about_point=self.rotate_about_point
)
def homotopy(x, y, z, t):
alpha = (x - left_x) / (right_x - left_x)
# lf = self.lag_factor
power = np.exp(2.0 * (alpha - 0.5))
nudge = there_and_back(t**power)
return np.array([x, y, z]) + nudge * vect
def homotopy(x, y, z, t):
start_point = np.array([x, y, z])
alpha = (x - left_x) / (right_x - left_x)
power = np.exp(2 * (alpha - 0.5))
nudge = there_and_back(t**power)
return np.array([x, y, z]) + nudge * vect
def homotopy(x, y, z, t):
alpha = (x - left_x) / (right_x - left_x)
# lf = self.lag_factor
power = np.exp(2.0 * (alpha - 0.5))
nudge = there_and_back(t**power)
return np.array([x, y, z]) + nudge * vect
