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Saved by uncleflo on February 7th, 2018.
This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards" (STD 1) for the standardization state and status of this protocol. Distribution of this memo is unlimited. Lightweight Directory Access Protocol (LDAP) search filters are transmitted in the LDAP protocol using a binary representation that is appropriate for use on the network. This document defines a human-readable string representation of LDAP search filters that is appropriate for use in LDAP URLs (RFC 4516) and in other applications.
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Saved by uncleflo on April 4th, 2015.
The way JavaScript handles Unicode is… surprising, to say the least. This write-up explains the pain points associated with Unicode in JavaScript, provides solutions for common problems, and explains how the ECMAScript 6 standard improves the situation.
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Saved by uncleflo on February 22nd, 2015.
I am build a web application (project management system) and I have been wondering about this when it come to performance. I have an Issues table an inside it there are 12 foreign keys linking to various other tables. of those, 8 of them I would need to join to get the title field from the other tables in order for the record to make any sense in a web application but then means doing 8 joins which seems really excessive especially since I am only pulling in 1 field for each of those joins.
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Saved by uncleflo on December 7th, 2014.
An excellent tool to start developing and learning and checking regexes. Rubular is a Ruby-based regular expression editor. It's a handy way to test regular expressions as you write them. To start, enter a regular expression and a test string. Or you can try an example.
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Saved by uncleflo on October 11th, 2014.
One of the most common tasks performed by Apache and htaccess is the manipulation of a URL and configuring a redirect for a specific page. Creating a single page redirect in Apache is a simple task, which uses mod_alias module.
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Saved by uncleflo on January 24th, 2014.
The Date object is used to work with dates and times. Date objects are created with new Date(). There are four ways of instantiating a date. Below are a list of all the functions that a browser ECMA script can use to manipulate, change, or read a date object.
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Saved by uncleflo on January 24th, 2014.
This article covers the ECMAScript 5 compliant native JSON object added in Gecko 1.9.1. For basic information on using JSON in previous versions of Firefox, see JSON. The native JSON object includes two key methods. The JSON.parse() method parses a JSON string, reconstructing the original JavaScript object, while the JSON.stringify() method accepts a JavaScript object and returns its JSON equivalent.
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Saved by uncleflo on August 24th, 2013.
Welcome to Regular-Expressions.info, The Premier website about Regular Expressions. A regular expression (regex or regexp for short) is a special text string for describing a search pattern. You can think of regular expressions as wildcards on steroids. You are probably familiar with wildcard notations such as *.txt to find all text files in a file manager.
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Saved by uncleflo on February 24th, 2013.
json2.js: This file creates a JSON property in the global object, if there isn't already one, setting its value to an object containing a stringify method and a parse method. The parse method uses the eval method to do the parsing, guarding it with several regular expressions to defend against accidental code execution hazards. On current browsers, this file does nothing, prefering the built-in JSON object.
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Saved by uncleflo on February 4th, 2013.
The basic algorithm is to generate <length> times a random number between 0 and <number of characters> − 1 we use as index to pick a character from our set and concatenate those characters. The 0 and <number of characters> − 1 bounds represent the bounds of the $charset string as the first character is addressed with $charset[0] and the last with $charset[count($charset) - 1].
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Saved by uncleflo on February 4th, 2013.
I have to check the buffer input to a PHP socket server as fast as possible. To do so, I need to know if the input message $buffer contains any other character(s) than the following: a-z, A-Z, 0-9, #, -, . and $. I'm currently using the following ereg function, but wonder if there are ways to optimize the speed. Should I maybe use a different function, or a different regex?
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Saved by uncleflo on March 10th, 2011.
C plus plus reference online, with details on C++ functions and others.
Saved by uncleflo on January 19th, 2011.
soundex — Calculate the soundex key of a string: string soundex ( string $str ). Calculates the soundex key of str. Soundex keys have the property that words pronounced similarly produce the same soundex key, and can thus be used to simplify searches in databases where you know the pronunciation but not the spelling. This soundex function returns a string 4 characters long, starting with a letter. This particular soundex function is one described by Donald Knuth in "The Art Of Computer Programming, vol. 3: Sorting And Searching", Addison-Wesley (1973), pp. 391-392.
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Saved by uncleflo on January 19th, 2011.
levenshtein — Calculate Levenshtein distance between two string: int levenshtein ( string $str1 , string $str2 ). Or: int levenshtein ( string $str1 , string $str2 , int $cost_ins , int $cost_rep , int $cost_del ). The Levenshtein distance is defined as the minimal number of characters you have to replace, insert or delete to transform str1 into str2. The complexity of the algorithm is O(m*n), where n and m are the length of str1 and str2 (rather good when compared to similar_text(), which is O(max(n,m)**3), but still expensive). In its simplest form the function will take only the two strings as parameter and will calculate just the number of insert, replace and delete operations needed to transform str1 into str2. A second variant will take three additional parameters that define the cost of insert, replace and delete operations. This is more general and adaptive than variant one, but not as efficient.
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Saved by uncleflo on September 28th, 2010.
I had exactly this issue, and I found that using a field of type string gave
exact matches. So, if you need to do both substring and exact match queries,
you'll need two fields. One non-tokenized field using class StrField and one
tokenized field using class TextField. Very easy to feed into both using
copyField.
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