global

Global Variables performance effect (c, c++)

孤人 提交于 2019-12-03 02:07:55
I'm currently developing a very fast algorithm, with one part of it being an extremely fast scanner and statistics function. In this quest, i'm after any performance benefit. Therefore, I'm also interested in keeping the code "multi-thread" friendly. Now for the question : i've noticed that putting some very frequently accessed variables and arrays into "Global", or "static local" (which does the same), there is a measurable performance benefit (in the range of +10%). I'm trying to understand why, and to find a solution about it, since i would prefer to avoid using these types of allocation.

Perl - Global variables available in all included scripts and modules?

旧时模样 提交于 2019-12-03 01:56:41
So lets say I have a main.pl script and in that script I need to declare some variables (any kind of variable constant or normal) and those variables need to be available through all scripts and modules that I'll include from that main.pl script automatically. What I mean if I have a variable $myVar in main.pl and from main.pl I require script1.pl , script2.pl or script3.pm , and from anyone of those scripts I need to access $myVar as you would access any var defined in that specific script or module. I've searched on the net, but I've only found examples where you can access variables from

How do I set up global load balancing using Digital Ocean DNS and Nginx?

耗尽温柔 提交于 2019-12-03 01:54:51
问题 UPDATE: See the answer I've provided below for the solution I eventually got set up on AWS. I'm currently experimenting with methods to implement a global load-balancing layer for my app servers on Digital Ocean and there's a few pieces I've yet to put together. The Goal Offer highly-available service to my users by routing all connections to the closest 'cluster' of servers in SFO, NYC, LON, and eventually Singapore. Additionally, I would eventually like to automate the maintenance of this

Regarding the global namespace in C++

六月ゝ 毕业季﹏ 提交于 2019-12-03 01:22:29
In C++, should we be prepending stuff in the global namespace with :: ? For example, when using WinAPI, which is in C, should I do ::HANDLE instead of HANDLE , and ::LoadLibrary instead of LoadLibrary ? What does C++ say about this? Is it generally a good idea, factoring in issues like readability and maintainability? As namespaces don't exists in C, don't use ::HANDLE to access HANDLE type. Using the prepending :: for global namespace is a good idea for readability, you know the type you want to access is from global namespace. Moreover, if you are in a nested namespace and declare your own

global … is not defined python

末鹿安然 提交于 2019-12-02 23:31:27
问题 I need to read some words text by text in python, and I am getting this error. "NameError: global name 'wordList' is not defined. i=0 with fitxer as f: for line in f: for word in line.split(): wordList[i]=word i+1 return wordList 回答1: You need to define wordList to begin with. And you cannot randomly assign indexes in an empty list. You can easily 'extend' the list with new values. worldList = [] with fitxer as f: for line in f: wordList.extend(line.split()) return wordList 回答2: wordList is

Sharing objects and avoiding globals in node.js

不想你离开。 提交于 2019-12-02 23:04:59
What would be the most appropriate way of sharing the database connection in the below snippet ( the db variable) with my routers/controllers without turning the db variable into a global? var mongo = require('mongoskin'), db = mongo.db(config.db.adress); app.use(function(req, res, next) { db.open(function(err, data) { (err) ? res.send('Internal server error', 500) : next(); }); }); // Setting up controllers here app.post('/users', require('./controllers/users').create); Coming from a PHP background, I came to think about Dependency Injection , but I have no idea if that's appropriate in node.

“Pythonic” way to “reset” an object's variables?

不羁的心 提交于 2019-12-02 22:47:34
("variables" here refers to "names", I think, not completely sure about the definition pythonistas use) I have an object and some methods. These methods all need and all change the object's variables. How can I, in the most pythonic and in the best, respecting the techniques of OOP, way achieve to have the object variables used by the methods but also keep their original values for the other methods? Should I copy the object everytime a method is called? Should I save the original values and have a reset() method to reset them everytime a method needs them? Or is there an even better way? EDIT

The Angular Compiler requires TypeScript >=2.7.2 and <2.8.0 but 2.8.3 was found instead

生来就可爱ヽ(ⅴ<●) 提交于 2019-12-02 20:07:21
I starting getting this error on my Angular app: The Angular Compiler requires TypeScript >=2.7.2 and <2.8.0 but 2.8.3 was found instead and when I try to downgrade typescript to the right version doing: npm install -g typescript@2.7.2 it says updated 1 package. when I verify typescript version using npm view typescript version I still get 2.8.3 I even tried removing typescript entirely using npm uninstall -g typescript but when I verify typescript version again npm view typescript version I still get 2.8.3 What are the commands to properly purge and restore typescript to a previous version

How can I use an NSArray as a global constant?

 ̄綄美尐妖づ 提交于 2019-12-02 19:34:42
I'm using a set of Constant.m files, one per target, to define specific things for each target. For example: // Constants.h extern NSString * const kDatabaseFileName; //Constants.m NSString * const kDatabaseFileName = @"target_one.sqlite"; I'd also like to define an NSArray for each of my targets: NSArray * const kLabelNames = [[NSArray alloc] initWithObjects: @"nameLabel", @"addressLabel", nil]; But this gives "error: initializer element is not constant". Using 'arrayWithObjects` doesn't work either. Is this because the strings in my array are not constants? How can I set up an array as a

CUDA global memory access speed

拥有回忆 提交于 2019-12-02 19:31:10
问题 here is simple cuda code. I am testing the time of accessing global memory. read and right. below is kernel function(test1()). enter code here __global__ void test1(int *direct_map) { int index = 10; int index2; for(int j=0; j<1024; j++) { index2 = direct_map[index]; direct_map[index] = -1; index = index2; } } direct_map is 683*1024 linear matrix and, each pixel has a offset value to access to other pixel. index and index2 is not continued address. this kernel function needs about 600 micro