A simple decorator for timing functions.
Project description
zimer
A lightweight utility package that ships two decorators that make everyday Python development a bit easier:
zimer– measure the execution time of synchronous and asynchronous functions, optionally repeating them and printing the average runtime.with_retry– automatically retry a function when it raises an exception, with optional exponential back-off. Works with both sync and async callables.
Installation
pip install zimer
zimer – timing decorator
from zimer import zimer
import time, asyncio
@zimer # one run, prints elapsed time
def slow_sync():
time.sleep(1)
@zimer(repeats=3) # three runs, prints average
async def slow_async():
await asyncio.sleep(0.5)
slow_sync()
asyncio.run(slow_async())
with_retry – retry decorator
from zimer import with_retry
import random, asyncio
# --- synchronous example -----------------------------------------
@with_retry(num_retries=3, backoff=1, backoff_exponent=2) # 1s, 4s between tries
def flaky_sync():
if random.random() < 0.7:
raise ValueError("Still broken …")
return "✓ finally worked"
# --- asynchronous example ----------------------------------------
@with_retry # default: 5 retries, no back-off
async def flaky_async():
if random.random() < 0.5:
raise RuntimeError("Try again …")
return "✓ async worked"
print(flaky_sync())
print(asyncio.run(flaky_async()))
Arguments:
num_retries– total attempts (initial call + retries). Must be ≥ 1.backoff– initial pause between retries (seconds). Must be ≥ 0.backoff_exponent– growth factor applied to the retry count to compute the wait time:sleep = backoff * ((attempt + 1) ** backoff_exponent).
Testing
Clone the repo and run:
pip install -r requirements-dev.txt # pytest, etc.
pytest -q
All unit tests live under tests/ and cover both decorators.
License
MIT © 2024 Zubin Aysola
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