Robust test for randomness

There are many tests for randomness that are used to test the hardware random generators. The common problem with these tests is the interpretation of results: they often report some "p-values" leaving the interpretation to the user. In fact, these p-values are not real since they are based on some approximation assumptions (often false). Here we implement the other scheme of testing that provides correct p-values described in HAL archive reference. Several test from diehard, dieharder and NIST suite are adapted and reimplemented. Also some auxiliary utilities are provided. See the description of the tests and discussion of the results in HAL archive reference.