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Graham_Scan.py
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Graham_Scan.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import math
import unittest
__author__ = 'tushar-rishav'
class Point:
def __init__(self, x, y):
"""
Create a (X, Y) coordinate object vector.
"""
self.x = x
self.y = y
def __eq__(self, p):
return p.x == self.x and p.y == self.y
def __sub__(self, p):
"""
Return the difference of two vector.
"""
return Point(self.x - p.x, self.y - p.y)
def __mul__(self, p):
"""
Return cross product of two vector.
"""
return self.x * p.y - self.y * p.x
def __dict__(self):
return {'X': self.x, 'Y': self.y}
@classmethod
def dist(cls, P, Q=None):
"""
Distance between two given points P and Q. Q is origin by default.
"""
if Q is None:
Q = Point(0,0)
return math.sqrt((P.x - Q.x)**2 + (P.y - Q.y)**2)
@classmethod
def dot(cls, P, Q):
"""
Return dot product of two vector: Q.P
"""
return P.x * Q.x + P.y * Q.y
@classmethod
def direction(cls, P, Q, R):
"""
Find the direction of rotation of angle pqr.
CCW is positive and CW is negative.
"""
return (P-Q) * (R-Q)
@classmethod
def angle(cls, P, Q, R=None):
"""
Find the angle pqr if either q and r are distinct or R is None otherwise
angle between PQ and X axis is returned.
:param P, Q, R: The coordinate of the three points.
:return: Angle in radian rounded with a precision of 5.
"""
if R is None or Q == R:
# A point on line parallel to X axis and passing through Q.
R = Point(abs(P.x + Q.x) / 2.0, 0) if P.x + Q.x else Point(1, 0)
if P != Q and Q != R:
acute = math.acos(cls.dot(P-Q, R-Q) / (cls.dist(P-Q) * cls.dist(R-Q)))
return (round(2*math.pi - acute, 5) if (P-Q).y < 0
else round(acute, 5))
raise Exception("Invalid Points")
@classmethod
def polar_sort(cls, p0, *P):
"""
Sort a sequence <p1, p2, ..., pN> of n points according to their polar
angles w.r.t a given original point p0. Time Complexity: O(n log(n))
:param p0: The reference point.
:param P: A sorted sequence of tuple of Point object and its angle.
Sorting is done by angle.
"""
point_and_angle = map(lambda p: (p, cls.angle(p, p0)), P)
return sorted(point_and_angle, key = lambda p_tuple: p_tuple[1])
class ConvexHull:
def __init__(self, *P):
self._input = P
def graham_scan(self):
def find_p0():
min_p = self._input[0]
for p in self._input:
if p.y <= min_p.y:
if p.x <= min_p.x:
min_p = p
return min_p
def filter_farthest(rp, p0):
p_min = rp[0]
result = [rp[0]]
for p in rp:
if p[1] == p_min[1]:
if Point.dist(p[0], p0) > Point.dist(p_min[0], p0):
result[-1] = p
p_min = p
else:
p_min = p
result.append(p_min)
return result
p0 = find_p0()
remaining_p = filter(lambda p: p != p0, self._input)
remaining_p = Point.polar_sort(p0, *remaining_p)
remaining_p = filter_farthest(remaining_p, p0)
point_stack = []
point_stack.append(p0)
point_stack.append(remaining_p[0][0])
point_stack.append(remaining_p[1][0])
for i in xrange(2, len(remaining_p)):
while (Point.direction(remaining_p[i][0],
point_stack[-1], point_stack[-2]) < 0):
point_stack.pop()
point_stack.append(remaining_p[i][0])
return point_stack
class ConvexHullTest(unittest.TestCase):
def test_graham_scan(self):
ch = ConvexHull(Point(0, 0), Point(1,0), Point(1,1),
Point(5, 5), Point(0,2), Point(0,6), Point(-1,1))
self.assertEqual(ch.graham_scan(), [Point(0,0), Point(1,0), Point(5,5),
Point(0,6), Point(-1, 1)])
class PointTest(unittest.TestCase):
def test_polar_sort(self):
p1 = Point(0, 0); p2 = Point(5, 5)
p3 = Point(0, 5); p4 = Point(5, 0)
self.assertEqual(Point.polar_sort(p1, p2, p3, p4),
[(p4, 0), (p2, round(math.pi/4, 5)),
(p3, round(math.pi/2, 5))])
def test_angle(self):
p1 = Point(1, 1)
p2 = Point(0, 0)
p4 = Point(2, 0)
p3 = Point(-1, 1)
p5 = Point(-1, -1)
self.assertEqual(Point.angle(p1, p2, p4), round(math.pi/4 ,5))
self.assertEqual(Point.angle(p3, p2, p4), round(3*math.pi/4 ,5))
self.assertEqual(Point.angle(p3, p2), round(3*math.pi/4 ,5))
self.assertEqual(Point.angle(p5, p2, p4), round(5*math.pi/4 ,5))
if __name__ == "__main__":
unittest.main()