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The format can serialize PHP's primitive and compound types, and also properly serializes references. [1] The format was first introduced in PHP 4. [2] In addition to PHP, the format is also used by some third-party applications that are often integrated with PHP applications, for example by Lucene/Solr. [3]
1 Examples of list comprehension. Toggle Examples of list comprehension subsection. 1.1 Boo. 1.2 C#. ... Array with all the doubles from 1 to 9 inclusive:
The arrays are heterogeneous: a single array can have keys of different types. PHP's associative arrays can be used to represent trees, lists, stacks, queues, and other common data structures not built into PHP. An associative array can be declared using the following syntax:
is how one would use Fortran to create arrays from the even and odd entries of an array. Another common use of vectorized indices is a filtering operation. Consider a clipping operation of a sine wave where amplitudes larger than 0.5 are to be set to 0.5. Using S-Lang, this can be done by y = sin(x); y[where(abs(y)>0.5)] = 0.5;
It allows external document generators like phpDocumentor, which is the de facto standard implementation, [1] to generate documentation of APIs and helps some IDEs such as Zend Studio, NetBeans, JetBrains PhpStorm, ActiveState Komodo Edit and IDE, PHPEdit and Aptana Studio to interpret variable types and other ambiguities in the loosely typed ...
Prior to PHP version 5.3.0, functions are not first-class functions and can only be referenced by their name, whereas PHP 5.3.0 introduces closures. [35] User-defined functions can be created at any time and without being prototyped. [ 35 ]
phpDocumentor 1.x could parse PHP syntax of PHP 4 up to PHP 5.2. [1] In March 2012, the DocBlox project merged with the 1.x branch of phpDocumentor, resulting in the new major version release of phpDocumentor 2. [2] The first alpha was released on March 16, 2012. phpDocumentor 2.x supported syntax for PHP 5.3 up to 7.0. [3] The 3.0 major ...
Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices. [2]