Created
November 12, 2017 20:22
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Generate valid triangles (convex) given list of points.
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import itertools, math | |
def dist(a, b): | |
# 2d distance | |
dx = a[0] - b[0] | |
dy = a[1] - b[1] | |
return math.sqrt(dx*dx + dy*dy) | |
def valid_triangle(t): | |
# Check if triangle is valid (area > 0) | |
a, b, c = dist(t[0], t[1]), dist(t[1], t[2]), dist(t[0], t[2]) # Sides | |
s = (a + b + c) / 2 # Semiperimeter | |
area = math.sqrt(s*(s-a)*(s-b)*(s-c)) # Heron formula | |
return area > 0 | |
def gen_valid_triangles(points): | |
# Generate possible combinations of 3 points and filter for the valid ones | |
return [t for t in itertools.combinations(sample_points, 3) if valid_triangle(t)] | |
sample_points = [ | |
(0, 4), (0, 3), (0, 2), (0, 1), (-4, 0), (-3, 0), (-2, 0), (-1, 0), | |
(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (0, -1), (0, -2), (0, -3), (0, -4) | |
] | |
valid_triangles = gen_valid_triangles(sample_points) | |
print(len(valid_triangles)) # Print number of valid triangles |
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