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Add `random` benchmarks by donbarbos · Pull Request #386 · python/pyperformance · GitHub

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1 change: 1 addition & 0 deletions pyperformance/data-files/benchmarks/MANIFEST
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Expand Up @@ -72,6 +72,7 @@ pprint <local>
pyflate <local>
python_startup <local>
python_startup_no_site <local:python_startup>
random <local>
raytrace <local>
regex_compile <local>
regex_dna <local>
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@@ -0,0 +1,10 @@
[project]
name = "pyperformance_bm_random"
requires-python = ">=3.12"
dependencies = ["pyperf"]
urls = {repository = "https://github.com/python/pyperformance"}
dynamic = ["version"]

[tool.pyperformance]
name = "random"
tags = "math"
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"""Test the performance of random module.

This benchmark was available as `python -m random --test` in Python 3.14.

Authors: Guido van Rossum (original),
Semyon Moroz & Adam Turner (pyperformance port).
"""

import random

import pyperf


def bench_func(func, args):
def wrapper(loops):
range_it = range(loops)
t0 = pyperf.perf_counter()

for _ in range_it:
func(*args)

return pyperf.perf_counter() - t0

return wrapper


BENCHMARKS = (
# (func, args)
(random.random, ()),
(random.normalvariate, (0.0, 1.0)),
(random.lognormvariate, (0.0, 1.0)),
(random.vonmisesvariate, (0.0, 1.0)),
(random.binomialvariate, (15, 0.60)),
(random.binomialvariate, (100, 0.75)),
Comment on lines +33 to +34

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

random.binomialvariate is new in 3.12.

(random.gammavariate, (0.01, 1.0)),
(random.gammavariate, (0.1, 1.0)),
(random.gammavariate, (0.1, 2.0)),
(random.gammavariate, (0.5, 1.0)),
(random.gammavariate, (0.9, 1.0)),
(random.gammavariate, (1.0, 1.0)),
(random.gammavariate, (2.0, 1.0)),
(random.gammavariate, (20.0, 1.0)),
(random.gammavariate, (200.0, 1.0)),
(random.gauss, (0.0, 1.0)),
(random.betavariate, (3.0, 3.0)),
(random.triangular, (0.0, 1.0, 1.0 / 3.0)),
)


if __name__ == '__main__':
runner = pyperf.Runner()
runner.metadata['description'] = 'random benchmark: core random distributions'

for func, args in BENCHMARKS:
name = f'random.{func.__name__}{args}'
runner.bench_time_func(name, bench_func(func, args))
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