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codon/bench/chaos/chaos.codon
Ibrahim Numanagić 5de233a64e
Dynamic Polymorphism (#58)
* Use Static[] for static inheritance

* Support .seq extension

* Fix #36

* Polymorphic typechecking; vtables [wip]

* v-table dispatch [wip]

* vtable routing [wip; bug]

* vtable routing [MVP]

* Fix texts

* Add union type support

* Update FAQs

* Clarify

* Add BSL license

* Add makeUnion

* Add IR UnionType

* Update union representation in LLVM

* Update README

* Update README.md

* Update README

* Update README.md

* Add benchmarks

* Add more benchmarks and README

* Add primes benchmark

* Update benchmarks

* Fix cpp

* Clean up list

* Update faq.md

* Add binary trees benchmark

* Add fannkuch benchmark

* Fix paths

* Add PyPy

* Abort on fail

* More benchmarks

* Add cpp word_count

* Update set_partition cpp

* Add nbody cpp

* Add TAQ cpp; fix word_count timing

* Update CODEOWNERS

* Update README

* Update README.md

* Update CODEOWNERS

* Fix bench script

* Update binary_trees.cpp

* Update taq.cpp

* Fix primes benchmark

* Add mandelbrot benchmark

* Fix OpenMP init

* Add Module::unsafeGetUnionType

* UnionType [wip] [skip ci]

* Integrate IR unions and Union

* UnionType refactor [skip ci]

* Update README.md

* Update docs

* UnionType [wip] [skip ci]

* UnionType and automatic unions

* Add Slack

* Update faq.md

* Refactor types

* New error reporting [wip]

* New error reporting [wip]

* peglib updates [wip] [skip_ci]

* Fix parsing issues

* Fix parsing issues

* Fix error reporting issues

* Make sure random module matches Python

* Update releases.md

* Fix tests

* Fix #59

* Fix #57

* Fix #50

* Fix #49

* Fix #26; Fix #51; Fix #47; Fix #49

* Fix collection extension methods

* Fix #62

* Handle *args/**kwargs with Callable[]; Fix #43

* Fix #43

* Fix Ptr.__sub__; Fix polymorphism issues

* Add typeinfo

* clang-format

* Upgrade fmtlib to v9; Use CPM for fmtlib; format spec support; __format__ support

* Use CPM for semver and toml++

* Remove extension check

* Revamp str methods

* Update str.zfill

* Fix thunk crashes [wip] [skip_ci]

* Fix str.__reversed__

* Fix count_with_max

* Fix vtable memory allocation issues

* Add poly AST tests

* Use PDQsort when stability does not matter

* Fix dotted imports; Fix  issues

* Fix kwargs passing to Python

* Fix #61

* Fix #37

* Add isinstance support for unions; Union methods return Union type if different

* clang-format

* Nicely format error tracebacks

* Fix build issues; clang-format

* Fix OpenMP init

* Fix OpenMP init

* Update README.md

* Fix tests

* Update license [skip ci]

* Update license [ci skip]

* Add copyright header to all source files

* Fix super(); Fix error recovery in ClassStmt

* Clean up whitespace [ci skip]

* Use Python 3.9 on CI

* Print info in random test

* Fix single unions

* Update random_test.codon

* Fix polymorhic thunk instantiation

* Fix random test

* Add operator.attrgetter and operator.methodcaller

* Add code documentation

* Update documentation

* Update README.md

* Fix tests

* Fix random init

Co-authored-by: A. R. Shajii <ars@ars.me>
2022-12-04 19:45:21 -05:00

289 lines
9.1 KiB
Python

"""create chaosgame-like fractals
Copyright (C) 2005 Carl Friedrich Bolz
adapted by @arshajii for Codon
"""
import math
import random
import sys
import time
DEFAULT_THICKNESS = 1.0
DEFAULT_WIDTH = 2048 #256
DEFAULT_HEIGHT = 2048 #256
DEFAULT_ITERATIONS = 1000000 #5000
DEFAULT_RNG_SEED = 1234
class GVector(object):
x: float
y: float
z: float
def __init__(self, x=0, y=0, z=0):
self.x = x
self.y = y
self.z = z
def Mag(self):
return math.sqrt(self.x ** 2 + self.y ** 2 + self.z ** 2)
def dist(self, other):
return math.sqrt((self.x - other.x) ** 2
+ (self.y - other.y) ** 2
+ (self.z - other.z) ** 2)
def __add__(self, other):
if not isinstance(other, GVector):
raise ValueError("Can't add GVector to " + str(type(other)))
v = GVector(self.x + other.x, self.y + other.y, self.z + other.z)
return v
def __sub__(self, other):
return self + other * -1
def __mul__(self, other):
v = GVector(self.x * other, self.y * other, self.z * other)
return v
#__rmul__ = __mul__
def linear_combination(self, other, l1, l2=None):
if l2 is None:
l2 = 1 - l1
v = GVector(self.x * l1 + other.x * l2,
self.y * l1 + other.y * l2,
self.z * l1 + other.z * l2)
return v
#def __str__(self):
# return "<%f, %f, %f>" % (self.x, self.y, self.z)
#def __repr__(self):
# return "GVector(%f, %f, %f)" % (self.x, self.y, self.z)
class Spline(object):
"""Class for representing B-Splines and NURBS of arbitrary degree"""
knots: List[int]
degree: int
points: List[GVector]
def __init__(self, points, degree, knots):
"""Creates a Spline.
points is a list of GVector, degree is the degree of the Spline.
"""
if len(points) > len(knots) - degree + 1:
raise ValueError("too many control points")
elif len(points) < len(knots) - degree + 1:
raise ValueError("not enough control points")
last = knots[0]
for cur in knots[1:]:
if cur < last:
raise ValueError("knots not strictly increasing")
last = cur
self.knots = knots
self.points = points
self.degree = degree
def GetDomain(self):
"""Returns the domain of the B-Spline"""
return (self.knots[self.degree - 1],
self.knots[len(self.knots) - self.degree])
def __call__(self, u):
"""Calculates a point of the B-Spline using de Boors Algorithm"""
dom = self.GetDomain()
if u < dom[0] or u > dom[1]:
raise ValueError("Function value not in domain")
if u == dom[0]:
return self.points[0]
if u == dom[1]:
return self.points[-1]
I = self.GetIndex(u)
d = [self.points[I - self.degree + 1 + ii]
for ii in range(self.degree + 1)]
U = self.knots
for ik in range(1, self.degree + 1):
for ii in range(I - self.degree + ik + 1, I + 2):
ua = U[ii + self.degree - ik]
ub = U[ii - 1]
co1 = (ua - u) / (ua - ub)
co2 = (u - ub) / (ua - ub)
index = ii - I + self.degree - ik - 1
d[index] = d[index].linear_combination(d[index + 1], co1, co2)
return d[0]
def GetIndex(self, u):
dom = self.GetDomain()
for ii in range(self.degree - 1, len(self.knots) - self.degree):
if u >= self.knots[ii] and u < self.knots[ii + 1]:
I = ii
break
else:
I = dom[1] - 1
return I
def __len__(self):
return len(self.points)
#def __repr__(self):
# return "Spline(%r, %r, %r)" % (self.points, self.degree, self.knots)
def write_ppm(im, filename):
magic = 'P6\n'
maxval = 255
w = len(im)
h = len(im[0])
#with open(filename, "w", encoding="latin1", newline='') as fp:
with open(filename, "w") as fp:
fp.write(magic)
#fp.write('%i %i\n%i\n' % (w, h, maxval))
fp.write(f'{w} {h}\n{maxval}\n')
for j in range(h):
for i in range(w):
val = im[i][j]
c = val * 255
#fp.write('%c%c%c' % (c, c, c))
c = chr(c)
fp.write(f'{c}{c}{c}')
class Chaosgame(object):
splines: List[Spline]
thickness: float
minx: float
miny: float
maxx: float
maxy: float
height: float
width: float
num_trafos: List[int]
num_total: int
def __init__(self, splines, thickness=0.1):
self.splines = splines
self.thickness = thickness
self.minx = min([p.x for spl in splines for p in spl.points])
self.miny = min([p.y for spl in splines for p in spl.points])
self.maxx = max([p.x for spl in splines for p in spl.points])
self.maxy = max([p.y for spl in splines for p in spl.points])
self.height = self.maxy - self.miny
self.width = self.maxx - self.minx
self.num_trafos = []
maxlength = thickness * self.width / self.height
for spl in splines:
length = 0.
curr = spl(0)
for i in range(1, 1000):
last = curr
t = 1 / 999 * i
curr = spl(t)
length += curr.dist(last)
self.num_trafos.append(max(1, int(length / maxlength * 1.5)))
self.num_total = sum(self.num_trafos)
def get_random_trafo(self):
r = random.randrange(int(self.num_total) + 1)
l = 0
for i in range(len(self.num_trafos)):
if r >= l and r < l + self.num_trafos[i]:
return i, random.randrange(self.num_trafos[i])
l += self.num_trafos[i]
return len(self.num_trafos) - 1, random.randrange(self.num_trafos[-1])
def transform_point(self, point):
x = (point.x - self.minx) / self.width
y = (point.y - self.miny) / self.height
#if trafo is None:
trafo = self.get_random_trafo()
start, end = self.splines[trafo[0]].GetDomain()
length = end - start
seg_length = length / self.num_trafos[trafo[0]]
t = start + seg_length * trafo[1] + seg_length * x
basepoint = self.splines[trafo[0]](t)
if t + 1 / 50000 > end:
neighbour = self.splines[trafo[0]](t - 1 / 50000)
derivative = neighbour - basepoint
else:
neighbour = self.splines[trafo[0]](t + 1 / 50000)
derivative = basepoint - neighbour
if derivative.Mag() != 0:
basepoint.x += derivative.y / derivative.Mag() * (y - 0.5) * \
self.thickness
basepoint.y += -derivative.x / derivative.Mag() * (y - 0.5) * \
self.thickness
else:
print("r", end='')
self.truncate(basepoint)
return basepoint
def truncate(self, point):
if point.x >= self.maxx:
point.x = self.maxx
if point.y >= self.maxy:
point.y = self.maxy
if point.x < self.minx:
point.x = self.minx
if point.y < self.miny:
point.y = self.miny
def create_image_chaos(self, w, h, iterations, filename, rng_seed):
# Always use the same sequence of random numbers
# to get reproductible benchmark
random.seed(rng_seed)
im = [[1] * h for i in range(w)]
point = GVector((self.maxx + self.minx) / 2,
(self.maxy + self.miny) / 2, 0)
for _ in range(iterations):
point = self.transform_point(point)
x = (point.x - self.minx) / self.width * w
y = (point.y - self.miny) / self.height * h
x = int(x)
y = int(y)
if x == w:
x -= 1
if y == h:
y -= 1
im[x][h - y - 1] = 0
if filename:
write_ppm(im, filename)
def main():
splines = [
Spline([
GVector(1.597350, 3.304460, 0.000000),
GVector(1.575810, 4.123260, 0.000000),
GVector(1.313210, 5.288350, 0.000000),
GVector(1.618900, 5.329910, 0.000000),
GVector(2.889940, 5.502700, 0.000000),
GVector(2.373060, 4.381830, 0.000000),
GVector(1.662000, 4.360280, 0.000000)],
3, [0, 0, 0, 1, 1, 1, 2, 2, 2]),
Spline([
GVector(2.804500, 4.017350, 0.000000),
GVector(2.550500, 3.525230, 0.000000),
GVector(1.979010, 2.620360, 0.000000),
GVector(1.979010, 2.620360, 0.000000)],
3, [0, 0, 0, 1, 1, 1]),
Spline([
GVector(2.001670, 4.011320, 0.000000),
GVector(2.335040, 3.312830, 0.000000),
GVector(2.366800, 3.233460, 0.000000),
GVector(2.366800, 3.233460, 0.000000)],
3, [0, 0, 0, 1, 1, 1])
]
chaos = Chaosgame(splines, DEFAULT_THICKNESS)
chaos.create_image_chaos(DEFAULT_WIDTH, DEFAULT_HEIGHT, DEFAULT_ITERATIONS, sys.argv[1], DEFAULT_RNG_SEED)
t0 = time.time()
main()
t1 = time.time()
print(t1 - t0)