FlightGear wiki talk:Instant-Refs: Difference between revisions

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[[File:Instant-cquotes-genetic-regex-solving.png|thumb|Screenshot showing the instant cquotes script with integrated regex solving support using genetic algorithms.]]
[[File:Instant-cquotes-genetic-regex-solving.png|thumb|Screenshot showing the instant cquotes script with integrated regex solving support using genetic algorithms.]]


The genetic-js framework has been integrated, it is intended to help solve xpath/regex expressions procedurally using genetic algorithms/programming. The idea is to provide a set of desired outputs, available input data, and use existing (possibly outdated) regex/xpath expressions to seed a pool with potential solutions for retrieving the desired output. For now, this is just proof-of-concept, i.e. just an experiment.
The genetic-js framework has been integrated, it is intended to help solve xpath/regex expressions procedurally using genetic algorithms/programming.  
 
The idea is to provide a set of desired outputs, available input data, and use existing (possibly outdated) regex/xpath expressions to seed a pool with potential solutions for retrieving the desired output. For now, this is just proof-of-concept, i.e. just an experiment.
 
<syntaxhighlight lang="javascript">
var regexTests = [
  {haystack: "From: John Doe <John@do...> - 2020-07-02 17:36:03", needle: "John Doe"},
  {haystack: "From: Marc Twain <Marc@ta...> - 2010-01-03 07:36:03", needle: "Marc Twain"},
  {haystack: "From: George W. Bush <GWB@wh...> - 2055-11-11 17:33:13", needle: "George W. Bush"}
];
</syntaxhighlight>


The basic idea is to run a fitness function and score regex expressions based on not throwing an exception (which makes them valid), and by checking if the desired tokens are part of the output string.
The basic idea is to run a fitness function and score regex expressions based on not throwing an exception (which makes them valid), and by checking if the desired tokens are part of the output string.

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