I have a HTML list of about 500 items and a "filter" box above it. I started by using jQuery to filter the list when I typed a letter (timing code added later): $('#filter').keyup( function() { var jqStart = (new Date).getTime(); var search = $(this).val().toLowerCase(); var $list = $('ul.ablist > li'); $list.each( function() { if ( $(this).text().toLowerCase().indexOf(search) === -1 ) $(this).hide(); else $(this).show(); } ); console.log('Time: ' + ((new Date).getTime() - jqStart)); } ); However, there was a couple of seconds delay after typing each letter (particularly the first letter). So I thought it may be slightly quicker if I used plain Javascript (I read recently that jQuery's each function is particularly slow). Here's my JS equivalent: document.getElementById('filter').addEventListener( 'keyup', function () { var jsStart = (new Date).getTime()...
On a POSIX operating system (e.g. Linux or OS X) you can write the following into your Bash shell:
ReplyDeletewc -l `find . -iname "*.php"`
This will count the lines in all php-files in the current directory and also subdirectories. (Note that those single 'quotes' are backticks, not actual single quotes)
SLOCCount is an awesome tool that produces a line-count report for a large number of languages. It also goes further by producing other, related statistics such as expected developer cost.
ReplyDeleteHere's an example:
$ sloccount .
Creating filelist for experimental
Creating filelist for prototype
Categorizing files.
Finding a working MD5 command....
Found a working MD5 command.
Computing results.
SLOC Directory SLOC-by-Language (Sorted)
10965 experimental cpp=5116,ansic=4976,python=873
832 prototype cpp=518,tcl=314
Totals grouped by language (dominant language first):
cpp: 5634 (47.76%)
ansic: 4976 (42.18%)
python: 873 (7.40%)
tcl: 314 (2.66%)
Total Physical Source Lines of Code (SLOC) = 11,797
Development Effort Estimate, Person-Years (Person-Months) = 2.67 (32.03)
(Basic COCOMO model, Person-Months = 2.4 * (KSLOC**1.05))
Schedule Estimate, Years (Months) = 0.78 (9.33)
(Basic COCOMO model, Months = 2.5 * (person-months**0.38))
Estimated Average Number of Developers (Effort/Schedule) = 3.43
Total Estimated Cost to Develop = $ 360,580
(average salary = $56,286/year, overhead = 2.40).
SLOCCount, Copyright (C) 2001-2004 David A. Wheeler
SLOCCount is Open Source Software/Free Software, licensed under the GNU GPL.
SLOCCount comes with ABSOLUTELY NO WARRANTY, and you are welcome to
redistribute it under certain conditions as specified by the GNU GPL license;
see the documentation for details.
Please credit this data as "generated using David A. Wheeler's 'SLOCCount'."
Unfortunately, SLOCCount is a bit long in the tooth and a pain in the neck for PHP projects, particularly ones that have a nested vendor directory you don't want counted. Also, it emits a warning for every PHP file that doesn't have a closing tag (which should be all of them if you aren't mixing HTML and PHP).
ReplyDeleteCLOC is a more modern alternative that does everything SLOCCount does, but also supports an --exclude-dir option and it doesn't suffer from the aforementioned close tag problem. It also emits a SQLite database that you can extract some pretty advanced metrics from.