def update_mobject(self, alpha):
new_tex = self.tex_list[np.ceil(alpha * len(self.tex_list)) - 1]
if new_tex != self.curr_tex:
self.curr_tex = new_tex
self.mobject = TexMobject(new_tex).shift(self.start_center)
if not all(self.start_center == self.end_center):
self.mobject.center().shift((1 - alpha) * self.start_center +
alpha * self.end_center)
def get_mobs_from_terms(self, start_terms, end_terms, size):
"""
Need to ensure that all image mobjects for a tex expression
stemming from the same string are point-for-point copies of one
and other. This makes transitions much smoother, and not look
like point-clouds.
"""
num_start_terms = len(start_terms)
all_mobs = np.array(
TexMobject(start_terms, size = size).split() + \
TexMobject(end_terms, size = size).split()
)
all_terms = np.array(start_terms + end_terms)
for term in set(all_terms):
matches = all_terms == term
if sum(matches) > 1:
base_mob = all_mobs[list(all_terms).index(term)]
all_mobs[matches] = [
base_mob.copy().replace(target_mob)
for target_mob in all_mobs[matches]
]
return all_mobs[:num_start_terms], all_mobs[num_start_terms:]
def __init__(self, tex_list, **kwargs):
mobject = TexMobject(self.curr_tex).shift(start_center)
Animation.__init__(self, mobject, **kwargs)
