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@lefuturiste
Created November 16, 2021 08:02
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import matplotlib.pyplot as plt
import math
import random
import pprint
import json
import jsbeautifier
def generate_points(n=100):
X = []
Y = []
for i in range(n):
X.append(random.random())
Y.append(random.random())
plt.plot(X, Y, '.')
return [(X[i],Y[i]) for i in range(n)]
# def angle(p1, p2, p3):
# p1, p2, p3 = p3, p2, p1
# print(p1, p2, p3)
# if p1 == p3: return math.pi
# x1, y1 = p2[0]-p1[0], p2[1]-p1[1]
# x2, y2 = p3[0]-p2[0], p3[1]-p2[1]
# d = x1*y2-y1*x2
# n1 = math.hypot(x1, y1)
# n2 = math.hypot(x2, y2)
# if d == 0 or n1*n2 == 0:
# l = x1/x2
# if l >= 0: return 0
# return math.pi
# dp = x1*x2 + y1*y2
# c = math.acos(dp/(n1*n2))
# b = (c if d > 0 else -c) % 2*math.pi
# return math.pi*2-b
def cross_product(u, v):
x1, y1 = u
x2, y2 = v
n1 = math.hypot(x1, y1)
n2 = math.hypot(x2, y2)
return (x1*y2-x2*y1)
# def angle(p1, p2, p3):
# x1, y1 = p2[0]-p1[0], p2[1]-p1[1]
# x2, y2 = p3[0]-p2[0], p3[1]-p2[1]
# a = (math.atan2(y1, x1) - math.atan2(y2, x2))
# if a < 0:
# a = math.pi
# return a
def gift_wrapping(points):
convex_hull = []
x_sorted = list(sorted(points, key=lambda point: point[0]))
left_most = x_sorted[0]
point_on_hull = left_most
endpoint = None
while endpoint != left_most:
convex_hull.append(point_on_hull)
endpoint = points[0]
for point in points:
cp = cross_product((
endpoint[0] - point_on_hull[0],
endpoint[1] - point_on_hull[1]
), (
point[0] - point_on_hull[0],
point[1] - point_on_hull[1]
))
if endpoint == point_on_hull or cp < 0:
endpoint = point
point_on_hull = endpoint
return convex_hull
def draw_points(points, with_edge=False):
X, Y = [], []
for p in points:
X.append(p[0])
Y.append(p[1])
plt.plot(X, Y, '.' if not with_edge else '')
pts = generate_points(50)
#pts = [(0.1, 1), (0.2, 0.4), (0.2, 0.15), (0.4, 0.25), (0.6, 0.8), (0.55, 0.3), (0.7, 0.2), (0.5, 0.5), (0.4, 0.7), (0.3, 0.1)]
print(pts)
draw_points(pts)
hull=gift_wrapping(pts)
draw_points(hull+[hull[0]], True)
plt.show()
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