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179 lines
4.6 KiB
Python
179 lines
4.6 KiB
Python
from scipy import linalg
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from .mobject import Mobject
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from helpers import *
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class VectorizedMobject(Mobject):
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CONFIG = {
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"closed" : False,
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"fill_color" : BLACK,
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"fill_opacity" : 0.0
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}
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## Colors
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def init_colors(self):
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self.set_stroke_color(self.color)
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self.set_fill_color(self.fill_color)
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return self
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def set_fill_color(self, color):
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self.fill_rgb = color_to_rgb(color)
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return self
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def set_stroke_color(self, color):
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self.stroke_rgb = color_to_rgb(color)
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def highlight(self, color):
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self.set_fill_color(color)
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self.set_stroke_color(color)
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return self
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def get_fill_color(self):
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return Color(rgb = self.fill_rgb)
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def get_fill_opacity(self):
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return self.fill_opacity
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def get_storke_color(self):
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return Color(rgb = self.stroke_rgb)
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#TODO, get color? Specify if stroke or fill
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#is the predominant color attribute?
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## Drawing
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def init_points(self):
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##Default to starting at origin
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self.points = np.zeros((1, self.dim))
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return self
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def start_at(self, point):
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self.points[0] = point
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return self
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def close(self):
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self.closed = True
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return self
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def open(self):
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self.closed = False
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return self
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def is_closed(self):
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return self.closed
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def add_point(self, handle1, handle2, point):
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self.points = np.append(
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self.points,
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[handle1, handle2, point],
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axis = 0
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)
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return self
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def set_anchors_and_handles(self, anchors, handles1, handles2):
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assert(len(anchors) == len(handles1)+1)
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assert(len(anchors) == len(handles2)+1)
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total_len = 3*(len(anchors)-1) + 1
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self.points = np.zeros((total_len, self.dim))
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self.points[0] = anchors[0]
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arrays = [handles1, handles2, anchors[1:]]
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for index, array in zip(it.count(1), arrays):
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self.points[index::3] = array
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return self.points
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def get_anchors_and_handles(self):
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return [
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self.points[i::3]
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for i in range(3)
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]
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def set_points_as_corners(self, points):
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handles1 = points[:-1]
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handles2 = points[1:]
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self.set_anchors_and_handles(points, handles1, handles2)
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return self
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def set_points_smoothly(self, points):
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if self.is_closed():
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points = np.append(
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points,
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[points[0], points[1]],
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axis = 0
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)
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num_handles = len(points) - 1
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#Must solve 2*num_handles equations to get the handles.
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#l and u are the number of lower an upper diagonal rows
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#in the matrix to solve.
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l, u = 2, 1
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#diag is a representation of the matrix in diagonal form
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#See https://www.particleincell.com/2012/bezier-splines/
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#for how to arive at these equations
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diag = np.zeros((l+u+1, 2*num_handles))
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diag[0,1::2] = -1
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diag[0,2::2] = 1
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diag[1,0::2] = 2
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diag[1,1::2] = 1
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diag[2,1:-2:2] = -2
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diag[3,0:-3:2] = 1
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#This is the b as in Ax = b, where we are solving for x,
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#and A is represented using diag. However, think of entries
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#to x and b as being points in space, not numbers
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b = np.zeros((2*num_handles, self.dim))
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b[1::2] = 2*points[1:]
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b[0] = points[0]
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b[-1] = points[-1]
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handle_pairs = np.zeros((2*num_handles, self.dim))
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for i in range(self.dim):
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handle_pairs[:,i] = linalg.solve_banded(
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(l, u), diag, b[:,i]
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)
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handles1 = handle_pairs[0::2]
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handles2 = handle_pairs[1::2]
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if self.is_closed():
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#Ignore last point that was artificially added
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#to smooth out the closing.
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#TODO, is the the best say to handle this?
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handles1[0] = handles1[-1]
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points = points[:-1]
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handles1 = handles1[:-1]
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handles2 = handles2[:-1]
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self.set_anchors_and_handles(points, handles1, handles2)
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def set_points(self, points, mode = "smooth"):
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points = np.array(points)
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if mode == "smooth":
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self.set_points_smoothly(points)
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elif mode == "corners":
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self.set_points_as_corners(points)
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elif mode == "handles_included":
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self.points = points
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else:
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raise Exception("Unknown mode")
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return self
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## Information about line
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def get_num_points(self):
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pass
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def point_from_proportion(self, alpha):
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pass
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