More tests
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10
h2/mbc.py
10
h2/mbc.py
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@ -190,15 +190,15 @@ def mbc_ch(points: Set[Point], flipper: callable) -> Set[Point]:
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#left_point = min(on)
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#right_point = max(on)
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dist_to_line = lambda p: abs(intercept + slope * p.x - p.y)/sqrt(1 + slope**2)
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left_point = min(pl, key = dist_to_line)
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right_point = min(pr, key=dist_to_line)
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#dist_to_line = lambda p: abs(intercept + slope * p.x - p.y)/sqrt(1 + slope**2)
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#left_point = min(pl, key = dist_to_line)
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#right_point = min(pr, key=dist_to_line)
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#display_line_only(points, slope, intercept, [left_point, right_point])
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#left_point = next(p for p in pl if sidedness(slope, intercept, p, flipper) == Side.ON)
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#right_point = next(p for p in pr if sidedness(slope, intercept, p, flipper) == Side.ON)
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left_point = next(p for p in pl if sidedness(slope, intercept, p, flipper) == Side.ON)
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right_point = next(p for p in pr if sidedness(slope, intercept, p, flipper) == Side.ON)
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@ -13,7 +13,7 @@ import os.path
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TimedResult = namedtuple("TimedResult", "algorithm points running_time")
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def time_it(f: callable, args: tuple = (), iterations=20):
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def time_it(f: callable, args: tuple = (), iterations=1):
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start = time()
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for i in range(iterations):
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f(*args)
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@ -128,5 +128,6 @@ print("quick:", time_it(quick_hull, args=(points,)))
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print("mbch:", time_it(mbc, args=(points,)))
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"""
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do_square_tests(50)
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do_square_tests(100)
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if __name__ == '__main__':
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for i in range(50, 1000, 50):
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do_square_tests(i)
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45
h2/util.py
45
h2/util.py
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@ -1,5 +1,5 @@
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import random
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from collections import namedtuple
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from collections import namedtuple, defaultdict
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from enum import Enum, auto
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from typing import Set
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from math import cos, sin, sqrt, pi
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@ -53,6 +53,49 @@ def gen_weird_point(lower : int = 0, upper: int = 10) -> Point:
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return Point(random.uniform(-x, x), y)
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def read_and_prep_data(filename):
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data = open(filename).read()
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lines = data.split('\n')
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data = defaultdict(list)
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for line in lines[1:]:
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all_vars = line.split("\t\t")
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name, points, time = all_vars
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data[name.strip()].append([points, time[:8]])
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return data
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def gen_graph(data):
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graham = data['graham']
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quick = data['quick']
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mbch = data['mbch']
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gift = data['gift']
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graham_x = [p[0] for p in graham]
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graham_y = [p[1] for p in graham]
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quick_x = [p[0] for p in quick]
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quick_y = [p[1] for p in quick]
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mbch_x = [p[0] for p in mbch]
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mbch_y = [p[1] for p in mbch]
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gift_x = [p[0] for p in gift]
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gift_y = [p[1] for p in gift]
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plt.plot(graham_x, graham_y)
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plt.plot(quick_x, quick_y)
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plt.plot(mbch_x, mbch_y)
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plt.plot(gift_x, gift_y)
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plt.legend(['graham', 'quick', 'mbch', 'gift'], loc='upper left')
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plt.show()
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def gen_triangular_point(left : Point, right : Point, top : Point):
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r1 = random.uniform(0,1)
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r2 = random.uniform(0,1)
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