// Copyright (C) 2012 Davis E. King (davis@dlib.net) // License: Boost Software License See LICENSE.txt for the full license. #undef DLIB_RANDOM_HAsHING_ABSTRACT_Hh_ #ifdef DLIB_RANDOM_HAsHING_ABSTRACT_Hh_ #include "random_hashing_abstract.h" #include "murmur_hash3.h" namespace dlib { // ---------------------------------------------------------------------------------------- double uniform_random_hash ( const uint64& k1, const uint64& k2, const uint64& k3 ); /*! ensures - This function uses hashing to generate uniform random values in the range [0,1). - To define this function precisely, assume we have an arbitrary sequence of input triplets. Then calling uniform_random_hash() on each of them should result in a sequence of double values that look like numbers sampled independently and uniformly at random from the interval [0,1). This is true even if there is some simple pattern in the inputs. For example, (0,0,0), (1,0,0), (2,0,0), (3,0,0), etc. - This function is deterministic. That is, the same output is always returned when given the same input. !*/ // ---------------------------------------------------------------------------------------- double gaussian_random_hash ( const uint64& k1, const uint64& k2, const uint64& k3 ); /*! ensures - This function uses hashing to generate Gaussian distributed random values with mean 0 and variance 1. - To define this function precisely, assume we have an arbitrary sequence of input triplets. Then calling gaussian_random_hash() on each of them should result in a sequence of double values that look like numbers sampled independently from a standard normal distribution. This is true even if there is some simple pattern in the inputs. For example, (0,0,0), (1,0,0), (2,0,0), (3,0,0), etc. - This function is deterministic. That is, the same output is always returned when given the same input. !*/ // ---------------------------------------------------------------------------------------- } #endif // DLIB_RANDOM_HAsHING_ABSTRACT_Hh_