Fast Find 220 Plb

[Su Mcdowall]

Iwill like to use "find" and locate" to search for source files in my project, but they take a long time to run. Are there faster alternatives to these programs I don't know about, or ways to speed up the performance of these programs?

In a C project you'd typically have a Makefile. In other projects you may have something similar. These can be a fast way to extract a list of files (and their locations) write a script that makes use of this information to locate files. I have a "sources" script so that I can write commands like grep variable $(sources programname).

Maybe you are searching because you have forgotten where something is or were not told. In the former case, write notes (documentation), in the latter, ask? Conventions, standards and consistency can help a lot.

I compared the commonly used mlocate and plocate. In a database of about 61 million files plocate answers specific queries (a couple of hundred results) in the order of 0.01 to 0.2 seconds and only becomes much slower (> 100 seconds) for very unspecific queries with millions of results. mlocate takes an almost constant 35 to 40 seconds to query the same database in all tested cases. Most of the time plocate is multiple orders of magnitude faster than mlocate.

A parallelized find might give better results on systems which profit from command queuing and can request data in parallel. Depending on use case, this can be implemented in scripts, too, by running multiple instances of find on different subtrees, but performance characteristics depend on a lot of factors there.

There's a whole lot of recursive grep-like tools with different features, but most offer very limited features for finding files based on their metadata instead of their contents. Even if they are fast like ag (silversurfer), rg (ripgrep) or ugrep, they are not necessarily fast if just looking at file names.

Why doesn't find have this search order as a built-in feature? Maybe because it would be complicated/impossible to implement if you assumed that the redundant traversal was unacceptable. The existence of the -depth option hints at the possibility, but alas...

FastFind is a Visual Studio plugin that allows you to instantly find text in any solution file. FastFind's advanced pattern matching allows it to auto-update as you type, showing anything relevant, allowing you to jump instantly to the code.

You can change the key binding by going into the Visual Studio Tools Menu -> Options.Select Environment -> General -> Keyboard. Type 'FastFind' into the 'Show Commands Containing..."box.". You can then assign FastFind to whatever key that you wish.

FastFind will only scan files whos extensions match those that are set in the settings.If you add a new extension in the fastfind window that is not in the settings it will be automatically added to the settings and the solution will the re-scanned.

If you're working with a large codebase, then it might be time to look for a more powerful solution than conventional tools. OpenGrok is a very fast source code search and cross-reference engine. On top of its great performance, it integrates with Subversion, Mercurial, and ClearCase, among other source revision control software. It sounds a lot like something you could use.

If you want support to use OpenGrok from within Vim, you could easily write a vim function that would call system() to start the search for you. To read more about writing new vim commands, look up :help 40.2 within vim.

Question: Today, with C++17, is there a standard/common or a best-practices way of implementing a container that have all the properties of a list PLUS fast find (and, eg. remove)? Or, does such a container type already exist? C++20 perhaps?

Since iterators for a std::list remain valid across inserts and deletes (except for the element you deleted, of course), you could maintain a secondaray data structure of type std::map (or a std::unordered_map if that is more suitable).

It really would be neat if this kind of container would be provided out-of-the box. As well as other containers that are modelled on/derived from more fundamental ones, but add specific performance advantages reflecting specific usage situations. If anybody knows of any library that provides that kind of specialized containers, please tell;-)

It depends why you need a center. Evaluate surface at 0.5, 0.5, 0.5 is usually good enough. Depending how you generated your sutfaces you may need to right click the input node and choose reparametrize, which shifts fhe domain of a surface to (0 to 1) which hopefully also shifts their halfway point to the middle.

If you need a better middle but not as taxing as the area node you could consider extracting the boundary curve of your surface and finding the center of that polycurve. Curve math will be quicker than brep math. You might even consider rebuilding those curves as five or ten point polylines before finding their center. That math sounds quite quick, but could takr troubleshooting . Test some things on a subset of yoyr surfaces so you can iterate quickly.

You might also consider finding the 0.5 0.5 0.5 middle via eval surface and then use pull geometry so that your point is guaranteed to be on your surface. Like i said, depends on what you mean by middle and what youre doing with this middle. Edit: sorry if im reiterating pieces of answers peter gave, his answers are always spot on. Edit 2 lol i guess i just reiterated both the thread answers typed while on a bus and didnt read thoroughly (:

Your Bullhorn database contains valuable information about your candidates, clients, contacts, and more. Accessing these records quickly is vital to providing a positive experience both internally and externally. So, how can you search through your records more efficiently to find the information you need?

You can type the full name into Bullhorn Fast Find to find a specific record. If you just know the last name, all you need to do is type the name into Fast Find. The system will always assume this is the last name:

LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and to show you relevant ads (including professional and job ads) on and off LinkedIn. Learn more in our Cookie Policy.

I was never interested in writing articles for the old-style law journals, just because I never saw this as a viable way to attract potential clients for my practice. Internet changed this. Today I am using LinkedIn for publishing my professional thoughts in short articles, most of the time about questions that my clients frequently ask.

All my articles have catchy photos. Often, these photos have nothing to do with the article itself. But the photos are always catchy. That alone helps: I bet that you have seen the two pizza slices in the photo above.

And I do use commercial stock imagery databases from CD-ROMs that I have purchased. These databases come in handy, and their source is very clear, especially when they come from a trusted source, such as the Corel Draw company, here -free-images/

There is never a 100% guarantee that these royalty free images are truly free of Copyrights, but at least I am in good faith when using such photos. And I have someone specific to blame for the Copyright infringement, should that be the case.

Finally, I use common sense. Copyright is 99% about avoiding problems with authors and giving credit to those who try to live from producing artworks. An amateur photo is good enough for me, and a professionally shot photo can always be recognized easily, especially in contrast to an amateur photo. Amateurs usually do not complain in case you should unintentionally use their photo, while professionals must per definition engage in an expensive fight about the fruits of their work.

The CD-ROMs are now 15 years old. The company that made the CD-ROMs still exists. I still have the CD-ROMs and they sit in their original covers, although I have copied the images on my hard drive. The print on the cover explicitly says that I am allowed to do so.

The protocol has the publishing date of your article, a short description of what is seen in the image, the online platform where you have published the article, and a short description of the image source.

The reason for keeping such a protocol is that you can quickly react if someone should question your rights to use a particular photo in one of your articles. This will save you an enormous amount of time in case you need it.

This image usage log also helps you to determine your preferred royalty free photo source faster, it will shorten the time for finding a source for a new photo that you need for that next new article. Chances are high that you will find it in your preferred photo database that you have used for other articles.

Webb Medical's low-cost, patented solution to fast and accurate CT biopsy and drainage procedures: The Fast Find Grid. Convenient and streamlined, hundreds of hospitals worldwide depend on The Fast Find Grid for ensuring every needle localization is efficient and precise.

The porous, non-woven fabric allows for flexible placement over the area and easy marking with the felt tip pen. The overall dimensions are 7.5 inches wide by 10.5 inches long, with the actual grid measuring 5 inches wide and 8 inches long; leaving 1 cm markings along each slice and clear indication of right and left side. With just two strips of adhesive along the back, the Fast Find Grid is easy to attach to any area of the body.

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