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Thus, the minimum memory required for a SAX parser is proportional to the maximum depth of the XML file (i.e., of the XML tree) and the maximum data involved in a single XML event (such as the name and attributes of a single start-tag, or the content of a processing instruction, etc.). This much memory is usually considered negligible. A DOM ...
You can also use regular expressions to directly process parts of the XML code. These run fast but are difficult to maintain. Please list methods and tools for processing XML export here: Parse::MediaWikiDump is a perl module for processing the XML dump file. m:Processing MediaWiki XML with STX - Stream based XML transformation
XPath (XML Path Language) is an expression language designed to support the query or transformation of XML documents. It was defined by the World Wide Web Consortium (W3C) in 1999, [ 1 ] and can be used to compute values (e.g., strings , numbers, or Boolean values ) from the content of an XML document.
Sandcastle produces XML-based HTML files in a chosen presentation style. (This does not mean, however, that the files are XHTML-compliant.) The HTML is defined by XSL transformation files that are included in the particular presentation style being used. A build normally uses only one presentation style at a time.
The Simplified Wrapper and Interface Generator (SWIG) is an open-source software tool used to connect computer programs or libraries written in C or C++ with scripting languages such as Lua, Perl, PHP, Python, R, Ruby, Tcl, and other language implementations like C#, Java, JavaScript, Go, D, OCaml, Octave, Scilab and Scheme.
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Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
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 ...