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19562430c6
Byte distribution check in heuristic will filter edge data cases and some time fail to classify input data. Let's fix that by adding Shannon entropy calculation, that will cover classification of most other data types. As Shannon entropy needs log2 with some precision to work, let's use ilog2(N) and for increased precision, by do ilog2(pow(N, 4)). Shannon entropy has been slightly changed to avoid signed numbers and division. The calculation is direct by the formula, successor of precalculated table or chains of if-else. The accuracy errors of ilog2 are compensated by @ENTROPY_LVL_ACEPTABLE 70 -> 65 @ENTROPY_LVL_HIGH 85 -> 80 Signed-off-by: Timofey Titovets <nefelim4ag@gmail.com> Reviewed-by: David Sterba <dsterba@suse.com> [ update comments ] Signed-off-by: David Sterba <dsterba@suse.com> |
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| README | ||
Linux kernel ============ This file was moved to Documentation/admin-guide/README.rst Please notice that there are several guides for kernel developers and users. These guides can be rendered in a number of formats, like HTML and PDF. In order to build the documentation, use ``make htmldocs`` or ``make pdfdocs``. There are various text files in the Documentation/ subdirectory, several of them using the Restructured Text markup notation. See Documentation/00-INDEX for a list of what is contained in each file. Please read the Documentation/process/changes.rst file, as it contains the requirements for building and running the kernel, and information about the problems which may result by upgrading your kernel.