# -*- coding: utf-8 -*-
import benchpy as bp
def cyclic_list(n):
for i in range(n):
cycle = []
cycle.append(cycle)
if __name__ == "__main__":
n_cycles = 128
name = "cycle_list({})".format(n_cycles)
groups = [
bp.group("+GC", [bp.bench(name, cyclic_list, n_cycles)], with_gc=True),
bp.group("-GC", [bp.bench(name, cyclic_list, n_cycles)], with_gc=False)
]
res = bp.run(groups, n_samples=16, max_batch=32, n_batches=10, n_jobs=-1)
print(res)
res.save_info(path="res")
# -*- coding: utf-8 -*-
import math
import benchpy as bp
def factorial_slow(n):
assert n >= 0
return 1 if n == 0 else n * factorial_slow(n - 1)
def pow_slow(x, n):
assert n >= 0
return 1 if n == 0 else x * pow_slow(x, n - 1)
if __name__ == "__main__":
n = 100
groups = [
bp.group("factorial(100)", [bp.bench("math_!", math.factorial, n), bp.bench("slow_!", factorial_slow, n)]),
bp.group("pow(100, 100)", [bp.bench("math^", math.pow, n, n), bp.bench("simple^", pow_slow, n, n)]),
]
print(bp.run(groups))
import benchpy as bp
from benchpy.run import noop
def bench_f(f_, *args, run_params_=None, **kwargs):
if run_params_ is None:
run_params_ = {}
bp.bench("f", f_, *args, run_params=run_params_, **kwargs).run()
if __name__ == "__main__":
run_params = dict(max_batch=10, n_batches=2, n_samples=2)
f = noop
run_params_ = dict(run_params)
run_params_["n_jobs"] = -1
res = bp.group("benchmark_time",
[bp.bench("f", f, run_params=run_params),
bp.bench("bench(f)", bench_f, noop, run_params=run_params,
run_params_=run_params_)]).run()
print(res)
print(res.results[1])