Calculate Shannon's entropy

C++ application, could accept a file or distribution with provided parameters, and calculate its entropy according to Shannon's defenition
We take a probability to meet any byte in the file, multiply to its logarithm and accumulate for all possible bytes (yeah, 0x0 to 0xFF)
See more detailed explanation in Wiki
In case of a file we can do estimation about format
We support uniform and normal distribution. In case of normal distribution we could assign mean and standard deviation
Application made with a research purpose

Explanation

https://en.wiktionary.org/wiki/Shannon_entropy
https://en.wikipedia.org/wiki/Normal_distribution
https://en.wikipedia.org/wiki/Discrete_uniform_distribution
Entropy value calculated without a leading coefficient, it means it could be a float value in range (0, 8), where 0.0 is an absolute order, 8.0 is an absolute chaos.

Application is CMake-based and could be compiled on any platform that have CMake 3.0+ installed
Just create build directory in the project catalog mkdir build, enter cd build it and execute cmake ..
Boost required for compilation, we use console-based progress-bar to make entropy calculation look pretty, Boost Test for unit-testing etc.
I had to provide std::codecvt<std::uint8_t> specialization for binary file streams. MS compiler provide one, but GCC does not (and doesn't have to as it's not a C++ Standard requirement)
Specific installation does not required, application is portable

Could be used to detect whether file was encrypted or archived (the value should be close to 8.0)
Could be used for building correlation between data format and its entropy (dataset should be big enough)
Could be used for estimation between distribution properties and entropy
Application is intentionaly as simple as possible