pylocked provides utility classes (and functions) to lock any resource (or function) and thus make them thread and / or concurrency safe.
Project description
pylocked provides utility classes (and functions) to lock any resource (or function) and thus make them thread and / or concurrency safe.
Install
From pip:
pip install pylocked
From repository:
pip install git+https://github.com/Eyal-Shalev/pylocked
Examples
AsyncIO
pylocked.asyncio.AsyncLocked
from pylocked.asyncio import AsyncLocked
locked_arr: Locked[list[int]] = Locked([])
async def double():
async with locked_arr as arr:
for i in range(len(arr)):
arr[i] += arr[i]
async def reset():
await locked_arr.replace(list(range(10)))
async def duplicate():
await locked_arr.update(lambda arr: arr * 2)
pylocked.asyncio.async_locked()
from typing import Optional
from pylocked.asyncio import locked
class LockedSingleton:
_instance: Optional[LockedSingleton] = None
@locked
@staticmethod
async def get_instance() -> LockedSingleton:
if LockedSingleton._instance is None:
LockedSingleton._instance = LockedSingleton()
return LockedSingleton._instance
Threading
pylocked.threading.RLocked
You can use
pylocked.threading.Locked
if you want to usethreading.Lock
instead.
from pylocked.threading import RLocked
locked_arr: RLocked[list[int]] = RLocked([])
def double():
with locked_arr as arr:
for i in range(len(arr)):
arr[i] += arr[i]
def reset():
locked_arr.replace(list(range(10)))
def duplicate():
locked_arr.update(lambda arr: arr * 2)
pylocked.threading.rlocked()
You can use
pylocked.threading.locked()
if you want to usethreading.Lock
instead.
from typing import Optional
from pylocked.threading import rlocked
class LockedSingleton:
_instance: Optional[LockedSingleton] = None
@rlocked
@staticmethod
def get_instance() -> LockedSingleton:
if LockedSingleton._instance is None:
LockedSingleton._instance = LockedSingleton()
return LockedSingleton._instance
Project details
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