Entropy: Difference between revisions
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"Picat is fun"].map(entropy).println(),
nl.
% probabilities of each element/character in L
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Entropy = -sum([P2*log2(P2) : _C=P in Occ, P2 = P/Len]).</lang>
{{out}}
<pre>[1.846439344671016,3.646513010214172,5.169925001442309,3.251629167387823]</pre>
=={{header|PicoLisp}}==
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