algorithme de coque convexe python
# Python3 program to find convex hull of a set of points. Refer
# https://www.geeksforgeeks.org/orientation-3-ordered-points/
# for explanation of orientation()
# point class with x, y as point
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def Left_index(points):
'''
Finding the left most point
'''
minn = 0
for i in range(1,len(points)):
if points[i].x < points[minn].x:
minn = i
elif points[i].x == points[minn].x:
if points[i].y > points[minn].y:
minn = i
return minn
def orientation(p, q, r):
'''
To find orientation of ordered triplet (p, q, r).
The function returns following values
0 --> p, q and r are collinear
1 --> Clockwise
2 --> Counterclockwise
'''
val = (q.y - p.y) * (r.x - q.x) - \
(q.x - p.x) * (r.y - q.y)
if val == 0:
return 0
elif val > 0:
return 1
else:
return 2
def convexHull(points, n):
# There must be at least 3 points
if n < 3:
return
# Find the leftmost point
l = Left_index(points)
hull = []
'''
Start from leftmost point, keep moving counterclockwise
until reach the start point again. This loop runs O(h)
times where h is number of points in result or output.
'''
p = l
q = 0
while(True):
# Add current point to result
hull.append(p)
'''
Search for a point 'q' such that orientation(p, q,
x) is counterclockwise for all points 'x'. The idea
is to keep track of last visited most counterclock-
wise point in q. If any point 'i' is more counterclock-
wise than q, then update q.
'''
q = (p + 1) % n
for i in range(n):
# If i is more counterclockwise
# than current q, then update q
if(orientation(points[p],
points[i], points[q]) == 2):
q = i
'''
Now q is the most counterclockwise with respect to p
Set p as q for next iteration, so that q is added to
result 'hull'
'''
p = q
# While we don't come to first point
if(p == l):
break
# Print Result
for each in hull:
print(points[each].x, points[each].y)
# Driver Code
points = []
points.append(Point(0, 3))
points.append(Point(2, 2))
points.append(Point(1, 1))
points.append(Point(2, 1))
points.append(Point(3, 0))
points.append(Point(0, 0))
points.append(Point(3, 3))
convexHull(points, len(points))
# This code is contributed by
# Akarsh Somani, IIIT Kalyani
eassear nobstar