RxPY

RxPY 是 ReactiveX 的 Python语言实现。

# 安装 RxPY
$ pip3 install rx
Successfully installed rx-1.6.1

Basics

from rx import Observable
source = Observable.of("Alpha", "Beta", "Gamma", "Delta", "Epsilon")
source.subscribe(on_next=lambda value: print("Received {0}".format(value)),
on_completed=lambda: print("Done!"),
on_error=lambda error: print("Error Occurred: {0}".format(error))
)
'''
Received Alpha
Received Beta
Received Gamma
Received Delta
Received Epsilon
Done!
'''

Operators

from rx import Observable
Observable.of("Alpha", "Beta", "Gamma", "Delta", "Epsilon") \
.map(lambda s: len(s)) \
.filter(lambda i: i >= 5) \
.subscribe(lambda value: print("Received {0}".format(value)))
'''
Received 5
Received 5
Received 5
Received 7
'''

Events

from rx import Observable
Observable.interval(1000) \
.map(lambda i: "{0} Mississippi".format(i)) \
.subscribe(lambda s: print(s))
input("Press any key to quit\n")
'''
Press any key to quit
0 Mississippi
1 Mississippi
2 Mississippi
3 Mississippi
4 Mississippi
...
'''

Multicasting

from rx import Observable
from random import randint
three_emissions = Observable.range(1, 3)
three_random_ints = three_emissions.map(lambda i: randint(1, 100000))
three_random_ints.subscribe(lambda i: print("Subscriber 1 Received: {0}".format(i)))
three_random_ints.subscribe(lambda i: print("Subscriber 2 Received: {0}".format(i)))
'''
Subscriber 1 Received: 76795
Subscriber 1 Received: 19486
Subscriber 1 Received: 96809
Subscriber 2 Received: 79148
Subscriber 2 Received: 33423
Subscriber 2 Received: 3319
'''
from rx import Observable
from random import randint
three_emissions = Observable.range(1, 3)
three_random_ints = three_emissions.map(lambda i: randint(1, 100000)).publish()
three_random_ints.subscribe(lambda i: print("Subscriber 1 Received: {0}".format(i)))
three_random_ints.subscribe(lambda i: print("Subscriber 2 Received: {0}".format(i)))
three_random_ints.connect()
'''
Subscriber 1 Received: 83159
Subscriber 2 Received: 83159
Subscriber 1 Received: 82025
Subscriber 2 Received: 82025
Subscriber 1 Received: 72397
Subscriber 2 Received: 72397
'''
from rx import Observable
from random import randint
three_emissions = Observable.range(1, 3)
three_random_ints = three_emissions.map(lambda i: randint(1, 100000)).publish().auto_connect(2)
three_random_ints.subscribe(lambda i: print("Subscriber 1 Received: {0}".format(i)))
three_random_ints.subscribe(lambda i: print("Subscriber 2 Received: {0}".format(i))) # second subscriber triggers firing
'''
Subscriber 1 Received: 72527
Subscriber 2 Received: 72527
Subscriber 1 Received: 53066
Subscriber 2 Received: 53066
Subscriber 1 Received: 32249
Subscriber 2 Received: 32249
'''

Combining

from rx import Observable
letters = Observable.of("Alpha", "Beta", "Gamma", "Delta", "Epsilon")
intervals = Observable.interval(1000)
Observable.zip(letters, intervals, lambda s, i: (s, i)) \
.subscribe(lambda t: print(t))
input("Press any key to quit\n")
'''
Press any key to quit
('Alpha', 0)
('Beta', 1)
('Gamma', 2)
('Delta', 3)
('Epsilon', 4)
'''

Concurrency

import multiprocessing
import random
import time
from threading import current_thread
from rx import Observable
from rx.concurrency import ThreadPoolScheduler
def intense_calculation(value):
# sleep for a random short duration between 0.5 to 2.0 seconds to simulate a long-running calculation
time.sleep(random.randint(5, 20) * .1)
return value
# calculate number of CPU's, then create a ThreadPoolScheduler with that number of threads
optimal_thread_count = multiprocessing.cpu_count()
pool_scheduler = ThreadPoolScheduler(optimal_thread_count)
# Create Process 1
Observable.of("Alpha", "Beta", "Gamma", "Delta", "Epsilon") \
.map(lambda s: intense_calculation(s)) \
.subscribe_on(pool_scheduler) \
.subscribe(on_next=lambda s: print("PROCESS 1: {0} {1}".format(current_thread().name, s)),
on_error=lambda e: print(e),
on_completed=lambda: print("PROCESS 1 done!"))
# Create Process 2
Observable.range(1, 10) \
.map(lambda s: intense_calculation(s)) \
.subscribe_on(pool_scheduler) \
.subscribe(on_next=lambda i: print("PROCESS 2: {0} {1}".format(current_thread().name, i)),
on_error=lambda e: print(e), on_completed=lambda: print("PROCESS 2 done!"))
# Create Process 3, which is infinite
Observable.interval(1000) \
.map(lambda i: i * 100) \
.observe_on(pool_scheduler) \
.map(lambda s: intense_calculation(s)) \
.subscribe(on_next=lambda i: print("PROCESS 3: {0} {1}".format(current_thread().name, i)),
on_error=lambda e: print(e))
input("Press any key to exit\n")
'''
Press any key to exit
PROCESS 1: ThreadPoolExecutor-1_0 Alpha
PROCESS 1: ThreadPoolExecutor-1_0 Beta
PROCESS 2: ThreadPoolExecutor-1_1 1
PROCESS 3: ThreadPoolExecutor-1_2 0
PROCESS 2: ThreadPoolExecutor-1_1 2
PROCESS 1: ThreadPoolExecutor-1_0 Gamma
PROCESS 3: ThreadPoolExecutor-1_2 100
PROCESS 2: ThreadPoolExecutor-1_1 3
PROCESS 1: ThreadPoolExecutor-1_0 Delta
PROCESS 3: ThreadPoolExecutor-1_4 200
PROCESS 1: ThreadPoolExecutor-1_0 Epsilon
PROCESS 1 done!
PROCESS 2: ThreadPoolExecutor-1_1 4
PROCESS 2: ThreadPoolExecutor-1_1 5
PROCESS 3: ThreadPoolExecutor-1_5 300
PROCESS 2: ThreadPoolExecutor-1_1 6
PROCESS 3: ThreadPoolExecutor-1_2 400
PROCESS 3: ThreadPoolExecutor-1_2 500
PROCESS 2: ThreadPoolExecutor-1_1 7
PROCESS 3: ThreadPoolExecutor-1_2 600
PROCESS 2: ThreadPoolExecutor-1_1 8
PROCESS 3: ThreadPoolExecutor-1_2 700
PROCESS 2: ThreadPoolExecutor-1_1 9
PROCESS 3: ThreadPoolExecutor-1_2 800
PROCESS 2: ThreadPoolExecutor-1_1 10
PROCESS 2 done!
PROCESS 3: ThreadPoolExecutor-1_2 900
PROCESS 3: ThreadPoolExecutor-1_2 1000
PROCESS 3: ThreadPoolExecutor-1_2 1100
PROCESS 3: ThreadPoolExecutor-1_2 1200
PROCESS 3: ThreadPoolExecutor-1_2 1300
PROCESS 3: ThreadPoolExecutor-1_2 1400
PROCESS 3: ThreadPoolExecutor-1_2 1500
PROCESS 3: ThreadPoolExecutor-1_2 1600
PROCESS 3: ThreadPoolExecutor-1_2 1700
PROCESS 3: ThreadPoolExecutor-1_2 1800
...
'''

Alignment

from rx import Observable, Observer

xs = Observable.of(1,2,3)
ys = Observable.of(4,5,6)
zs = xs + ys # Concatenate observables
zs.to_list().subscribe(lambda value: print(value)) xs = Observable.of(1,2,3)
ys = xs * 4
ys.to_list().subscribe(lambda value: print(value)) xs = Observable.of(1,2,3)
ys = xs[1:-1]
ys.to_list().subscribe(lambda value: print(value)) xs = Observable.of(1,2,3,4,5,6)
ys = xs.to_blocking()
zs = (x*x for x in ys if x > 3)
for x in zs:
print(x)
'''
[1, 2, 3, 4, 5, 6]
[1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3]
[2]
16
25
36
'''

ReactiveX 学习笔记(16)RxPY的更多相关文章

  1. ReactiveX 学习笔记(0)学习资源

    ReactiveX 学习笔记 ReactiveX 学习笔记(1) ReactiveX 学习笔记(2)创建数据流 ReactiveX 学习笔记(3)转换数据流 ReactiveX 学习笔记(4)过滤数据 ...

  2. Ext.Net学习笔记16:Ext.Net GridPanel 折叠/展开行

    Ext.Net学习笔记16:Ext.Net GridPanel 折叠/展开行 Ext.Net GridPanel的行支持折叠/展开功能,这个功能个人觉得还说很有用处的,尤其是数据中包含图片等内容的时候 ...

  3. SQL反模式学习笔记16 使用随机数排序

    目标:随机排序,使用高效的SQL语句查询获取随机数据样本. 反模式:使用RAND()随机函数 SELECT * FROM Employees AS e ORDER BY RAND() Limit 1 ...

  4. golang学习笔记16 beego orm 数据库操作

    golang学习笔记16 beego orm 数据库操作 beego ORM 是一个强大的 Go 语言 ORM 框架.她的灵感主要来自 Django ORM 和 SQLAlchemy. 目前该框架仍处 ...

  5. [原创]java WEB学习笔记16:JSP指令(page,include),JSP标签(forwar,include,param)

    本博客为原创:综合 尚硅谷(http://www.atguigu.com)的系统教程(深表感谢)和 网络上的现有资源(博客,文档,图书等),资源的出处我会标明 本博客的目的:①总结自己的学习过程,相当 ...

  6. Adaptive AUTOSAR 学习笔记 16 - 时间同步和网络管理

    本系列学习笔记基于 AUTOSAR Adaptive Platform 官方文档 R20-11 版本 AUTOSAR_EXP_PlatformDesign.pdf.作者:Zijian/TENG 原文地 ...

  7. ArcGIS API for JavaScript 4.2学习笔记[16] 弹窗自定义功能按钮及为要素自定义按钮(第五章完结)

    这节对Popups这一章的最后两个例子进行介绍和解析. 第一个[Popup Actions]介绍了弹窗中如何自定义工具按钮(名为actions),以PopupTemplate+FeatureLayer ...

  8. ReactiveX 学习笔记(20)使用 RxJava + RxBinding 进行 GUI 编程

    课题 程序界面由3个文本编辑框和1个文本标签组成. 要求文本标签实时显示3个文本编辑框所输入的数字之和. 文本编辑框输入的不是合法数字时,将其值视为0. 3个文本编辑框的初值分别为1,2,3. 创建工 ...

  9. ReactiveX 学习笔记(14)使用 RxJava2 + Retrofit2 调用 REST API

    JSON : Placeholder JSON : Placeholder (https://jsonplaceholder.typicode.com/) 是一个用于测试的 REST API 网站. ...

随机推荐

  1. [UE4]圆形小地图

    一.创建一个名为M_RoundRetainer的材质 二.创建一个名为RoundMiniMap的UserWidget 三.TestMiniMap中将添加进来 四.运行游戏

  2. MySQL 之 MyTop实时监控MySQL

    CentOS下使用MyTop实时监控MySQL MyTop的项目页面为:http://jeremy.zawodny.com/mysql/mytop/ MyTop安装 安装依赖包  yum instal ...

  3. ORACLE 通过连接查询更新 update select

    注意:  关键的地方是where 语句的加入. 在11G中, 如果不加11G , 或造成除匹配的行数更新为相应的值之后, 其余的会变成负数. 所以,执行前需要测试, 普通办法就是:  先查看需要更新的 ...

  4. gulp 使用案例

    1.gulp 配置: // 引入 gulp var gulp = require('gulp'); var watch = require('gulp-watch'), //导入所有gulp需要的模块 ...

  5. restframwork之序列化

    一 restframwork为我们提供了一个快速实例,方便我们快速理解restframwork的序列化的原理. 快速实例化 Django REST framework API 指南 二 restfra ...

  6. Codeforces Round #492 (Div. 2)

    A. /* 从大往小依次除 */ #include<cstdio> #include<algorithm> #include<cstring> #include&l ...

  7. WPF圆角按钮与触发颜色变化

    <Button x:Name="button1" Content="按钮1" Margin="10,10,0,0" Cursor=&q ...

  8. 将mysql数据库数据以Excel文件的形式导出

    最近在工作中,领导让从数据库中导出一些数据并存放到Excel表格中,网上有许多教程,下面是我总结的其中俩种方法. 从数据库管理工具中导出(navicat) 在navicat导出数据导Excel中还是比 ...

  9. 【Python爬虫实战】 图片爬虫-淘宝图片爬虫--千图网图片爬虫

    所谓图片爬虫,就是从互联网中自动把对方服务器上的图片爬下来的爬虫程序.有些图片是直接在html文件里面,有些是隐藏在JS文件中,在html文件中只需要我们分析源码就能得到如果是隐藏在JS文件中,那么就 ...

  10. LINUX系统备份还原

    1.Linux系统备份工具 REAR (RELAX-AND-RECOVER) https://blog.csdn.net/qq43748322/article/details/78710754?loc ...