G-Firefly | gevent version , with better perfromance
kandi X-RAY | G-Firefly Summary
kandi X-RAY | G-Firefly Summary
####g-firefly简介+firefly-gevent重要迭代版本alpha 0.1.5介绍 在alpha 0.1.5做了如下的改进: 1、单node节点断开与root节点的连接后自动重连。 2、修改了gfirefly的底层库gtiwsted,将socket发送数据放到一个协程中进处理,解决了. 忽略其他因素,gevent性能是线程方案的4倍左右(在这个测试中对比的是paste,译者注:这是python另一个基于线程的网络库) 与单进程多线程模型相比,多进程和协程是更加scalable的模型。在高并发场景下,采用多进程模型编制的程序更加容易scale out,而协程模型可以使单机的并发性能大幅提升,达到scale up的目的。所以,未来服务器端并发模型的标配估计会是:每个核一个进程,每个进程是用协程实现的微线程。. ####firefly-gevent alpha 0.1.2 release – an important version update. firefly-gevent is firefly gevent version which is more of simplicity comparing to current firefly twisted version. based on coroutine, python-written gevent is a web development framework. coroutine is a concurrency model, but unlike to thread and callback, all its tasks can be executed in a single thread, and are able to swap to another task for execution by initial aborting in a task. it has program-level schedule rather than thread’s system-level schedule. amazing performance is gevent’s most obvious feature, especially when you compare it to traditional thread solution. on this point, an almost common sense fact is that asynchronous i/o performance will be significantly superior to separate thread-based synchronous i/o when load is over a certain degree. in the meantime, gevent provides seemingly much alike traditional port that was programmed based on thread model. however this port’s real identity is asynchronous i/o, and what’s more wonderful part is that it makes all these transparent (here it means you don't need to worry about how it function itself, gevent will help you finish the switching job). ignoring other factors, gevent performance is four times greater than thread solution (here in this test we use paste as contrast, note: paste is another thread-based web library of
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Top functions reviewed by kandi - BETA
- Configure instance
- Takes a reference to this object
- Connect to the reactor
- Set proxy reference
- Start the reactor
- Load the master
- Called when data received
- Get target method
- Get head length
- Called when a command is received
- Stop the service
- Create a file at the given path
- Set a remote peer
- Called when a child connect
- Called when the connection is made
- Stop the server
- Calls the RemoteNotFound callback
- Makes a remote call
- Reload the module
- Called when the connection is lost
- Calls the specified command with the specified arguments
- Calls the given command and returns the result
- Calls callback for child objects
- Called when the connection lost
- Connect to remote host
- Wrapper for remote calls
G-Firefly Key Features
G-Firefly Examples and Code Snippets
Community Discussions
Trending Discussions on G-Firefly
QUESTION
I was having the following problems.
When I run AudioBufferSourceNode.start() when I have multiple tracks, I sometimes get a delay
Then, per chrisguttandin's answer, I tried the method using offLineAudioContext. (Thanks to chrisguttandin).
I wanted to play two different mp3 files completely simultaneously, so I used offlineAudioContext to synthesize an audioBuffer.
And I succeeded in playing the synthesized node.
The following is a demo of it.
CodeSandBox
The code in the demo is based on the code in the following page.
OfflineAudioContext - Web APIs | MDN
However, the demo does not allow you to change the gain for each of the two types of audio.
Is there any way to change the gain of the two types of audio during playback?
What I would like to do is as follows.
- I want to play two pieces of audio perfectly simultaneously.
- I want to change the gain of each of the two audios in real time.
Therefore, if you can achieve what you want to do as described above, you don't need to use offlineAudioContext.
The only way I can think of to do this is to run startRendering on every input type="range", but I don't think this is practical from a performance standpoint.
Also, I looked for a solution to this problem, but could not find one.
ANSWER
Answered 2021-Jan-27 at 21:53As a test, I'd go back to your original solution, but instead of
QUESTION
Data is stored as:
...ANSWER
Answered 2020-Apr-29 at 15:51The full message from Material-UI
is:
Material-UI: the value provided to Autocomplete is invalid. None of the options match with
{"label":"United Kingdom","iso":"gb","country":"United Kingdom"}
. You can use thegetOptionSelected
prop to customize the equality test.
The default equality test is simply ===
, so if your options are objects, your value would have to be one of those exact objects in order to match. A different object with the same values will not match.
But as the message tells you, you can customize the equality test via the getOptionSelected
prop. For instance you could specify:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install G-Firefly
You can use G-Firefly like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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