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  as isome files some bytes have higher frequencies whereas other bytes are 
less frequent, or in a critical situation, some files have only one or two bins 
that occupy the majority of the count, this makes a large gap between the most 
frequent and less frequent, the solution is to apply a companding function - A 
law or u law; square-rooting the bin values also provide the same effect, so by 
considering the computational cost, the square-root is chosen to enhance the 
histogram detail in place of A law or u law.
  
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}}
  
  
  
@@ -274, +273 @@

  
                    org.apache.tika.detect. MimeDetectionWithNNTest
  
- 

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