import numpy as np import itertools as it from helpers import * from animation import Animation from transform import Transform from mobject import Mobject class DelayByOrder(Animation): """ Modifier of animation. Warning: This will not work on all animation types. """ DEFAULT_CONFIG = { "max_power" : 5 } def __init__(self, animation, **kwargs): digest_locals(self) self.num_mobject_points = animation.mobject.get_num_points() kwargs.update(dict([ (attr, getattr(animation, attr)) for attr in Animation.DEFAULT_CONFIG ])) Animation.__init__(self, animation.mobject, **kwargs) self.name = self.__class__.__name__ + str(self.animation) def update_mobject(self, alpha): dim = self.mobject.DIM alpha_array = np.array([ [alpha**power]*dim for n in range(self.num_mobject_points) for prop in [(n+1.0)/self.num_mobject_points] for power in [1+prop*(self.max_power-1)] ]) self.animation.update_mobject(alpha_array) class TransformAnimations(Transform): DEFAULT_CONFIG = { "rate_func" : squish_rate_func(smooth) } def __init__(self, start_anim, end_anim, **kwargs): digest_config(self, kwargs, locals()) if "run_time" in kwargs: self.run_time = kwargs.pop("run_time") else: self.run_time = max(start_anim.run_time, end_anim.run_time) for anim in start_anim, end_anim: anim.set_run_time(self.run_time) if start_anim.starting_mobject.get_num_points() != end_anim.starting_mobject.get_num_points(): Mobject.align_data(start_anim.starting_mobject, end_anim.starting_mobject) for anim in start_anim, end_anim: if hasattr(anim, "ending_mobject"): Mobject.align_data(anim.starting_mobject, anim.ending_mobject) Transform.__init__(self, start_anim.mobject, end_anim.mobject, **kwargs) #Rewire starting and ending mobjects start_anim.mobject = self.starting_mobject end_anim.mobject = self.ending_mobject def update(self, alpha): self.start_anim.update(alpha) self.end_anim.update(alpha) Transform.update(self, alpha) class Succession(Animation): def __init__(self, *animations, **kwargs): if "run_time" in kwargs: run_time = kwargs.pop("run_time") else: run_time = sum([anim.run_time for anim in animations]) self.num_anims = len(animations) self.anims = animations mobject = animations[0].mobject Animation.__init__(self, mobject, run_time = run_time, **kwargs) def __str__(self): return self.__class__.__name__ + \ "".join(map(str, self.anims)) def update(self, alpha): scaled_alpha = alpha*self.num_anims self.mobject = self.anims for index in range(len(self.anims)): self.anims[index].update(scaled_alpha - index)