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Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
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:
Arbitrary-length heterogenous arrays with end-marker Arbitrary-length key/value pairs with end-marker Structured Data eXchange Formats (SDXF) Big-endian signed 24-bit or 32-bit integer Big-endian IEEE double Either UTF-8 or ISO 8859-1 encoded List of elements with identical ID and size, preceded by array header with int16 length
Marshalling is similar to or synonymous with serialization, although technically serialization is one step in the process of marshalling an object.. Marshalling is describing the overall intent or process to transfer some live object from a client to a server (with client and server taken as abstract, mirrored concepts mapping to any matching ends of an arbitrary communication link ie.
This has been supported for classes and interfaces since PHP 5.0, for arrays since PHP 5.1, for "callables" since PHP 5.4, and scalar (integer, float, string and boolean) types since PHP 7.0. [71] PHP 7.0 also has type declarations for function return types, expressed by placing the type name after the list of parameters, preceded by a colon ...
The concept dates back at least to Herlihy and Liskov's 1982 TOPLaS A value transmission method for abstract data types about CLU. The term itself was allegedly coined in Birrell, et. al.'s 1987 A simple and efficient implementation of a small database , although the application of the term to a programming language implementation may originate ...
In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:
In control system theory, and various branches of engineering, a transfer function matrix, or just transfer matrix is a generalisation of the transfer functions of single-input single-output (SISO) systems to multiple-input and multiple-output (MIMO) systems. [1] The matrix relates the outputs of the system to its inputs.