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MultiRunnable-0.17.0a2
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مشاهده بیشترتوضیحات
A Python library integrates APIs of multiprocessing, threading, gevent and asyncio.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | MultiRunnable-0.17.0a2 |
| نام | MultiRunnable |
| نسخه کتابخانه | 0.17.0a2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Liu, Bryant |
| ایمیل نویسنده | chi10211201@cycu.org.tw |
| آدرس صفحه اصلی | https://multirunnable.readthedocs.io |
| آدرس اینترنتی | https://pypi.org/project/MultiRunnable/ |
| مجوز | Apache License 2.0 |
# MultiRunnable
[](https://pypi.org/project/multirunnable)
[](https://github.com/Chisanan232/multirunnable/releases)
[](https://pypi.org/project/MultiRunnable/)
[](https://opensource.org/licenses/Apache-2.0)
[](https://www.codacy.com/gh/Chisanan232/multirunnable/dashboard?utm_source=github.com&utm_medium=referral&utm_content=Chisanan232/multirunnable&utm_campaign=Badge_Grade)
[](https://multirunnable.readthedocs.io/en/latest/?badge=latest)
| OS | Building Status | Coverage Status |
|------------|------------|--------|
| Linux / MacOS |[](https://github.com/Chisanan232/multirunnable/actions/workflows/ci-cd-master.yml)|[](https://codecov.io/gh/Chisanan232/multirunnable)|
| Windows |[](https://app.circleci.com/pipelines/github/Chisanan232/multirunnable)|[](https://coveralls.io/github/Chisanan232/multirunnable?branch=master)|
[comment]: <> (| Windows |[](https://ci.appveyor.com/project/Chisanan232/multirunnable)|[](https://coveralls.io/github/Chisanan232/multirunnable?branch=master)|)
A Python library integrates the APIs of 3 strategies (Parallel, Concurrent, Coroutine) via 4 libraries (multiprocessing, threading, gevent, asyncio) to help developers build parallelism humanly.
[Overview](#overview) | [Quickly Start](#quickly-start) | [Syntactic Sugar in *MultiRunnable*](#syntactic-sugar-in-multirunnable) | [Documentation](#documentation) | [Code Example](https://github.com/Chisanan232/multirunnable/tree/master/example)
<hr>
## Overview
Package '_multirunnable_' is a library which could easily build a parallelism with different running strategy by mode option.
Currently, it has 4 options could use: Parallel, Concurrent, GreenThread and Asynchronous.
Here's an example which builds parallelism as concurrent with _multirunnable_:
```python
from multirunnable import SimpleExecutor, RunningMode
import time
Workers_Number = 5
def function(index):
print(f"This is function with index {index}")
time.sleep(3)
if __name__ == '__main__':
executor = SimpleExecutor(mode=RunningMode.Concurrent, executors=Workers_Number)
executor.run(function=function, args={"index": f"test_arg"})
```
How about parallel? Only one thing you need to do: change the mode.
```python
... # Any code is the same
executor = SimpleExecutor(mode=RunningMode.Parallel, executors=Workers_Number)
... # Any code is the same
```
Program would turn to run as parallel and work finely. <br>
Want change to use other way to run? Change the Running Mode, that's all. <br>
> ⚠️ **Parallel, Concurrent and GreenThread are in common but Asynchronous isn't.** <br>
From above all, we could change the mode to run the code as the running strategy we configure.
However, it only accepts 'awaitable' function to run as asynchronous in Python.
In the other word, you must remember add keyword 'async' before function which is the target to run with _multirunnable_.
## Quickly Start
Install this package by pip:
pip install multirunnable
Write a simple code to run it.
>>> from multirunnable import SimpleExecutor, RunningMode
>>> executor = SimpleExecutor(mode=RunningMode.Parallel, executors=3)
>>> def function(index):
... print(f"This is function with index {index}")
...
>>> executor.run(function=function, args={"index": f"test_param"})
This is function with index test_param
This is function with index test_param
This is function with index test_param
>>>
## Syntactic Sugar in *MultiRunnable*
It could use some features via Python decorator in _MultiRunnable_.
Following code is a demonstration about usage with Lock via decorator **RunWith** (it's **AsyncRunWith** with Asynchronous):
```python
from multirunnable.api import RunWith
import time
@RunWith.Lock
def lock_function():
print("Running process in lock and will sleep 2 seconds.")
time.sleep(2)
```
✨👀 **All below features support decorator:** <br>
*Lock*, *RLock*, *Semaphore*, *Bounded Semaphore*.
## Documentation
The [documentation](https://multirunnable.readthedocs.io) contains more details, and examples.
* [Quickly Start](https://multirunnable.readthedocs.io/en/latest/quickly_start.html) to develop parallelism with *MultiRunnable*
* Detail *MultiRunnable* usage information of functions, classes and methods in [API References](https://multirunnable.readthedocs.io/en/latest/index.html#api-reference).
* Be curious about how to join and develop *MultiRunnable*? [Development Documentation](https://multirunnable.readthedocs.io/en/latest/index.html#development-documentation) could be a good guide for you.
## Download
*MultiRunnable* still a young open source which keep growing. Here's its download state:
[](https://pepy.tech/project/multirunnable)
[](https://pepy.tech/project/multirunnable)
نیازمندی
| مقدار | نام |
|---|---|
| - | gevent |
| >=0.6.0 | multipledispatch |
| >=2.6.1 | openpyxl |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl MultiRunnable-0.17.0a2:
pip install MultiRunnable-0.17.0a2.whl
نصب پکیج tar.gz MultiRunnable-0.17.0a2:
pip install MultiRunnable-0.17.0a2.tar.gz