[PYTHON] Manim's method 22

Overview

I checked manim's method. I tried using ZetaTransformationScene.

Sample code

from manimlib.imports import *
#import mpmath

#mpmath.mp.dps = 7
def zeta(z):
	max_norm = FRAME_X_RADIUS
	try:
		return np.complex(mpmath.zeta(z))
	except:
		return np.complex(max_norm, 0)
def d_zeta(z):
	epsilon = 0.01
	return (zeta(z + epsilon) - zeta(z))/epsilon

class ZetaTransformationScene(ComplexTransformationScene):
	CONFIG = {
		"anchor_density" : 35,
		"min_added_anchors" : 10,
		"max_added_anchors" : 300,
		"num_anchors_to_add_per_line" : 75,
		"post_transformation_stroke_width" : 2,
		"default_apply_complex_function_kwargs" : {
			"run_time" : 5,
		},
		"x_min" : 1,
		"x_max" : int(FRAME_X_RADIUS+2),
		"y_min" : 1,
		"y_max" : int(FRAME_X_RADIUS+2),
		"extra_lines_x_min" : -2,
		"extra_lines_x_max" : 4,
		"extra_lines_y_min" : -2,
		"extra_lines_y_max" : 2,
	}
	def prepare_for_transformation(self, mob):
		for line in mob.family_members_with_points():
			if not isinstance(line, Line):
				line.insert_n_curves(self.min_added_anchors)
				continue
			p1 = line.get_start()+LEFT
			p2 = line.get_end()+LEFT
			t = (-np.dot(p1, p2-p1))/(get_norm(p2-p1)**2)
			closest_to_one = interpolate(line.get_start(), line.get_end(), t)
			diameter = abs(zeta(complex(*closest_to_one[:2])))
			target_num_curves = np.clip(int(self.anchor_density*np.pi*diameter),self.min_added_anchors,self.max_added_anchors,)
			num_curves = line.get_num_curves()
			if num_curves < target_num_curves:
				line.insert_n_curves(target_num_curves-num_curves)
			line.make_smooth()
	def add_extra_plane_lines_for_zeta(self, animate = False, **kwargs):
		dense_grid = self.get_dense_grid(**kwargs)
		if animate:
			self.play(ShowCreation(dense_grid))
		self.plane.add(dense_grid)
		self.add(self.plane)
	def get_dense_grid(self, step_size = 1./16):
		epsilon = 0.1
		x_range = np.arange(max(self.x_min, self.extra_lines_x_min),min(self.x_max, self.extra_lines_x_max),step_size)
		y_range = np.arange(max(self.y_min, self.extra_lines_y_min),min(self.y_max, self.extra_lines_y_max),step_size)
		vert_lines = VGroup(*[Line(self.y_min*UP,self.y_max*UP,).shift(x*RIGHT) for x in x_range if abs(x-1) > epsilon])
		vert_lines.set_color_by_gradient(self.vert_start_color, self.vert_end_color)
		horiz_lines = VGroup(*[Line(self.x_min*RIGHT,self.x_max*RIGHT,).shift(y*UP) for y in y_range if abs(y) > epsilon])
		horiz_lines.set_color_by_gradient(self.horiz_start_color, self.horiz_end_color)
		dense_grid = VGroup(horiz_lines, vert_lines)
		dense_grid.set_stroke(width = 1)
		return dense_grid
	def add_reflected_plane(self, animate = False):
		reflected_plane = self.get_reflected_plane()
		if animate:
			self.play(ShowCreation(reflected_plane, run_time = 5))
		self.plane.add(reflected_plane)
		self.add(self.plane)
	def get_reflected_plane(self):
		reflected_plane = self.plane.copy()
		reflected_plane.rotate(np.pi, UP, about_point = RIGHT)
		for mob in reflected_plane.family_members_with_points():
			mob.set_color(Color(rgb = 1-0.5*color_to_rgb(mob.get_color())))
		self.prepare_for_transformation(reflected_plane)
		reflected_plane.submobjects = list(reversed(reflected_plane.family_members_with_points()))
		return reflected_plane
	def apply_zeta_function(self, **kwargs):
		transform_kwargs = dict(self.default_apply_complex_function_kwargs)
		transform_kwargs.update(kwargs)
		self.apply_complex_function(zeta, **kwargs)

class test(ZetaTransformationScene):
	CONFIG = {
		"anchor_density" : 15,
	}
	def construct(self):
		self.add_transformable_plane()
		self.add_extra_plane_lines_for_zeta()
		self.prepare_for_transformation(self.plane)
		print(sum([mob.get_num_points() for mob in self.plane.family_members_with_points()]))
		print(len(self.plane.family_members_with_points()))
		#self.apply_zeta_function()
		self.wait()

Generated video

https://www.youtube.com/watch?v=glq_Jw-U0qE

that's all.