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fiby_tree_int_benchmarks.mojo
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from fiby_tree import FibyTree
from time import now
from random import random_si64
fn cmp_int(a: Int, b: Int) -> Int:
return a - b
fn its(a: Int) -> String:
return String(a)
fn fiby() -> FibyTree[Int, cmp_int, its]:
return FibyTree[Int, cmp_int, its]()
fn perf_test_random_add(size: Int, min: Int = -30000, max: Int = 30000) -> Float64:
var total = 0
var tik = now()
var tok = now()
var f = fiby()
for _ in range(size):
let i = random_si64(min, max).to_int()
tik = now()
f.add(i)
tok = now()
total += (tok - tik)
return total / size
fn perf_test_ordered_add(size: Int) -> Float64:
var total = 0
var tik = now()
var f = fiby()
var tok = now()
total += tok - tik
for i in range(size):
tik = now()
f.add(i)
tok = now()
total += (tok - tik)
total += (tok - tik)
return total / size
fn perf_test_contains(size: Int, balanced: Bool, inout found: Int) -> Float64:
var f = fiby()
for _ in range(size):
let i = random_si64(-size, size).to_int()
f.add(i)
if balanced:
f.balance()
var total = 0
var tik = now()
var tok = now()
var res = DynamicVector[Bool](size)
for i in range(size):
tik = now()
let r = f.__contains__(i)
tok = now()
res.push_back(r)
total += (tok - tik)
var count = 0
for i in range(len(res)):
if res[i]:
count += 1
found = count
return total / size
fn perf_test_delete(size: Int, balanced: Bool, inout found: Int) -> Float64:
var f = fiby()
for _ in range(size):
let i = random_si64(-size, size).to_int()
f.add(i)
if balanced:
f.balance()
var total = 0
var tik = now()
var tok = now()
var res = DynamicVector[Bool](size)
for i in range(size):
tik = now()
let r = f.delete(i)
tok = now()
res.push_back(r)
total += (tok - tik)
var count = 0
for i in range(len(res)):
if res[i]:
count += 1
found = count
return total / size
fn perf_test_union(size: Int, balanced: Bool) -> Float64:
var f1 = fiby()
var f2 = fiby()
for _ in range(size):
let i1 = random_si64(-size, size).to_int()
f1.add(i1)
let i2 = random_si64(-size, size).to_int()
f2.add(i2)
if balanced:
f1.balance()
f2.balance()
let s1 = f1.__len__()
let s2 = f2.__len__()
let tik = now()
f1.union_inplace(f2)
let tok = now()
# print(s1, s2, f1.__len__())
return (tok - tik) / Float64(size)
fn perf_test_intersection(size: Int, balanced: Bool) -> Float64:
var f1 = fiby()
var f2 = fiby()
for _ in range(size):
let i1 = random_si64(-size, size).to_int()
f1.add(i1)
let i2 = random_si64(-size, size).to_int()
f2.add(i2)
if balanced:
f1.balance()
f2.balance()
let s1 = f1.__len__()
let s2 = f2.__len__()
let tik = now()
f1.intersection_inplace(f2)
let tok = now()
# print(s1, s2, f1.__len__())
return (tok - tik) / Float64(size)
fn perf_test_difference(size: Int, balanced: Bool) -> Float64:
var f1 = fiby()
var f2 = fiby()
for _ in range(size):
let i1 = random_si64(-size, size).to_int()
f1.add(i1)
let i2 = random_si64(-size, size).to_int()
f2.add(i2)
if balanced:
f1.balance()
f2.balance()
let s1 = f1.__len__()
let s2 = f2.__len__()
let tik = now()
f1.difference_inplace(f2)
let tok = now()
# print(s1, s2, f1.__len__())
return (tok - tik) / Float64(size)
fn perf_test_symmetric_difference(size: Int, balanced: Bool) -> Float64:
var f1 = fiby()
var f2 = fiby()
for _ in range(size):
let i1 = random_si64(-size, size).to_int()
f1.add(i1)
let i2 = random_si64(-size, size).to_int()
f2.add(i2)
if balanced:
f1.balance()
f2.balance()
let s1 = f1.__len__()
let s2 = f2.__len__()
let tik = now()
f1.symmetric_difference_inplace(f2)
let tok = now()
# print(s1, s2, f1.__len__())
return (tok - tik) / Float64(size)
fn main():
print("===Random Add===")
print(perf_test_random_add(10))
print(perf_test_random_add(100))
print(perf_test_random_add(300))
print(perf_test_random_add(500))
print(perf_test_random_add(1_000))
print(perf_test_random_add(3_000))
print(perf_test_random_add(9_000))
print(perf_test_random_add(15_000))
print(perf_test_random_add(30_000))
print(perf_test_random_add(50_000))
print("===Ordered Add===")
print(perf_test_ordered_add(10))
print(perf_test_ordered_add(100))
print(perf_test_ordered_add(300))
print(perf_test_ordered_add(500))
print(perf_test_ordered_add(1_000))
print(perf_test_ordered_add(3_000))
print(perf_test_ordered_add(9_000))
print(perf_test_ordered_add(15_000))
print(perf_test_ordered_add(30_000))
print(perf_test_ordered_add(50_000))
var r = 0
print("===Contains===")
print(perf_test_contains(10, False, r))
print(perf_test_contains(100, False, r))
print(perf_test_contains(300, False, r))
print(perf_test_contains(500, False, r))
print(perf_test_contains(1_000, False, r))
print(perf_test_contains(3_000, False, r))
print(perf_test_contains(9_000, False, r))
print(perf_test_contains(15_000, False, r))
print(perf_test_contains(30_000, False, r))
print(perf_test_contains(50_000, False, r))
print("===Contains Balanced===")
print(perf_test_contains(10, True, r))
print(perf_test_contains(100, True, r))
print(perf_test_contains(300, True, r))
print(perf_test_contains(500, True, r))
print(perf_test_contains(1_000, True, r))
print(perf_test_contains(3_000, True, r))
print(perf_test_contains(9_000, True, r))
print(perf_test_contains(15_000, True, r))
print(perf_test_contains(30_000, True, r))
print(perf_test_contains(50_000, True, r))
print("===Delete===")
print(perf_test_delete(10, False, r))
print(perf_test_delete(100, False, r))
print(perf_test_delete(300, False, r))
print(perf_test_delete(500, False, r))
print(perf_test_delete(1_000, False, r))
print(perf_test_delete(3_000, False, r))
print(perf_test_delete(9_000, False, r))
print(perf_test_delete(15_000, False, r))
print(perf_test_delete(30_000, False, r))
print(perf_test_delete(50_000, False, r))
print("===Delete Balanced===")
print(perf_test_delete(10, True, r))
print(perf_test_delete(100, True, r))
print(perf_test_delete(300, True, r))
print(perf_test_delete(500, True, r))
print(perf_test_delete(1_000, True, r))
print(perf_test_delete(3_000, True, r))
print(perf_test_delete(9_000, True, r))
print(perf_test_delete(15_000, True, r))
print(perf_test_delete(30_000, True, r))
print(perf_test_delete(50_000, True, r))
print("===Union===")
print(perf_test_union(10, False))
print(perf_test_union(100, False))
print(perf_test_union(300, False))
print(perf_test_union(500, False))
print(perf_test_union(1_000, False))
print(perf_test_union(3_000, False))
print(perf_test_union(9_000, False))
print(perf_test_union(15_000, False))
print(perf_test_union(30_000, False))
print(perf_test_union(50_000, False))
print("===Union Balanced===")
print(perf_test_union(10, True))
print(perf_test_union(100, True))
print(perf_test_union(300, True))
print(perf_test_union(500, True))
print(perf_test_union(1_000, True))
print(perf_test_union(3_000, True))
print(perf_test_union(9_000, True))
print(perf_test_union(15_000, True))
print(perf_test_union(30_000, True))
print(perf_test_union(50_000, True))
print("===Intersection===")
print(perf_test_intersection(10, False))
print(perf_test_intersection(100, False))
print(perf_test_intersection(300, False))
print(perf_test_intersection(500, False))
print(perf_test_intersection(1_000, False))
print(perf_test_intersection(3_000, False))
print(perf_test_intersection(9_000, False))
print(perf_test_intersection(15_000, False))
print(perf_test_intersection(30_000, False))
print(perf_test_intersection(50_000, False))
print("===Intersection Balanced===")
print(perf_test_intersection(10, True))
print(perf_test_intersection(100, True))
print(perf_test_intersection(300, True))
print(perf_test_intersection(500, True))
print(perf_test_intersection(1_000, True))
print(perf_test_intersection(3_000, True))
print(perf_test_intersection(9_000, True))
print(perf_test_intersection(15_000, True))
print(perf_test_intersection(30_000, True))
print(perf_test_intersection(50_000, True))
print("===Difference===")
print(perf_test_difference(10, False))
print(perf_test_difference(100, False))
print(perf_test_difference(300, False))
print(perf_test_difference(500, False))
print(perf_test_difference(1_000, False))
print(perf_test_difference(3_000, False))
print(perf_test_difference(9_000, False))
print(perf_test_difference(15_000, False))
print(perf_test_difference(30_000, False))
print(perf_test_difference(50_000, False))
print("===Difference Balanced===")
print(perf_test_difference(10, True))
print(perf_test_difference(100, True))
print(perf_test_difference(300, True))
print(perf_test_difference(500, True))
print(perf_test_difference(1_000, True))
print(perf_test_difference(3_000, True))
print(perf_test_difference(9_000, True))
print(perf_test_difference(15_000, True))
print(perf_test_difference(30_000, True))
print(perf_test_difference(50_000, True))
print("===Symmetric Difference===")
print(perf_test_symmetric_difference(10, False))
print(perf_test_symmetric_difference(100, False))
print(perf_test_symmetric_difference(300, False))
print(perf_test_symmetric_difference(500, False))
print(perf_test_symmetric_difference(1_000, False))
print(perf_test_symmetric_difference(3_000, False))
print(perf_test_symmetric_difference(9_000, False))
print(perf_test_symmetric_difference(15_000, False))
print(perf_test_symmetric_difference(30_000, False))
print(perf_test_symmetric_difference(50_000, False))
print("===Symmetric Difference Balanced===")
print(perf_test_symmetric_difference(10, True))
print(perf_test_symmetric_difference(100, True))
print(perf_test_symmetric_difference(300, True))
print(perf_test_symmetric_difference(500, True))
print(perf_test_symmetric_difference(1_000, True))
print(perf_test_symmetric_difference(3_000, True))
print(perf_test_symmetric_difference(9_000, True))
print(perf_test_symmetric_difference(15_000, True))
print(perf_test_symmetric_difference(30_000, True))
print(perf_test_symmetric_difference(50_000, True))