// Copyright (C) 2012 Davis E. King (davis@dlib.net) // License: Boost Software License See LICENSE.txt for the full license. #ifndef DLIB_RANDOM_HAsHING_Hh_ #define DLIB_RANDOM_HAsHING_Hh_ #include "random_hashing_abstract.h" #include "murmur_hash3.h" namespace dlib { // ---------------------------------------------------------------------------------------- inline double uniform_random_hash ( const uint64& k1, const uint64& k2, const uint64& k3 ) { const std::pair<uint64,uint64> h = murmur_hash3_128bit_3(k1,k2,k3); const uint64 mask = DLIB_BIG_CONSTANT(0xFFFFFFFFFF); const double max = mask+1; return static_cast<double>(h.first&mask)/max; } // ---------------------------------------------------------------------------------------- inline double gaussian_random_hash ( const uint64& k1, const uint64& k2, const uint64& k3 ) { const std::pair<uint64,uint64> h = murmur_hash3_128bit_3(k1,k2,k3); const static unsigned int max = 4096; const static double logvals[max] = { 4.079, 3.905, 3.8, 3.723, 3.663, 3.613, 3.57, 3.532, 3.499, 3.468, 3.441, 3.416, 3.392, 3.37, 3.35, 3.33, 3.312, 3.295, 3.278, 3.263, 3.248, 3.233, 3.219, 3.206, 3.193, 3.181, 3.169, 3.158, 3.147, 3.136, 3.125, 3.115, 3.105, 3.096, 3.086, 3.077, 3.068, 3.059, 3.051, 3.043, 3.035, 3.027, 3.019, 3.011, 3.004, 2.996, 2.989, 2.982, 2.975, 2.968, 2.962, 2.955, 2.949, 2.942, 2.936, 2.93, 2.924, 2.918, 2.912, 2.906, 2.901, 2.895, 2.89, 2.884, 2.879, 2.873, 2.868, 2.863, 2.858, 2.853, 2.848, 2.843, 2.838, 2.833, 2.829, 2.824, 2.819, 2.815, 2.81, 2.806, 2.801, 2.797, 2.792, 2.788, 2.784, 2.78, 2.776, 2.771, 2.767, 2.763, 2.759, 2.755, 2.751, 2.748, 2.744, 2.74, 2.736, 2.732, 2.729, 2.725, 2.721, 2.718, 2.714, 2.71, 2.707, 2.703, 2.7, 2.697, 2.693, 2.69, 2.686, 2.683, 2.68, 2.676, 2.673, 2.67, 2.667, 2.663, 2.66, 2.657, 2.654, 2.651, 2.648, 2.645, 2.642, 2.639, 2.636, 2.633, 2.63, 2.627, 2.624, 2.621, 2.618, 2.615, 2.612, 2.61, 2.607, 2.604, 2.601, 2.599, 2.596, 2.593, 2.59, 2.588, 2.585, 2.582, 2.58, 2.577, 2.574, 2.572, 2.569, 2.567, 2.564, 2.562, 2.559, 2.557, 2.554, 2.552, 2.549, 2.547, 2.544, 2.542, 2.539, 2.537, 2.534, 2.532, 2.53, 2.527, 2.525, 2.523, 2.52, 2.518, 2.516, 2.513, 2.511, 2.509, 2.507, 2.504, 2.502, 2.5, 2.498, 2.495, 2.493, 2.491, 2.489, 2.487, 2.485, 2.482, 2.48, 2.478, 2.476, 2.474, 2.472, 2.47, 2.468, 2.466, 2.464, 2.462, 2.459, 2.457, 2.455, 2.453, 2.451, 2.449, 2.447, 2.445, 2.443, 2.441, 2.439, 2.437, 2.436, 2.434, 2.432, 2.43, 2.428, 2.426, 2.424, 2.422, 2.42, 2.418, 2.416, 2.415, 2.413, 2.411, 2.409, 2.407, 2.405, 2.404, 2.402, 2.4, 2.398, 2.396, 2.394, 2.393, 2.391, 2.389, 2.387, 2.386, 2.384, 2.382, 2.38, 2.379, 2.377, 2.375, 2.373, 2.372, 2.37, 2.368, 2.367, 2.365, 2.363, 2.361, 2.36, 2.358, 2.356, 2.355, 2.353, 2.352, 2.35, 2.348, 2.347, 2.345, 2.343, 2.342, 2.34, 2.338, 2.337, 2.335, 2.334, 2.332, 2.331, 2.329, 2.327, 2.326, 2.324, 2.323, 2.321, 2.32, 2.318, 2.316, 2.315, 2.313, 2.312, 2.31, 2.309, 2.307, 2.306, 2.304, 2.303, 2.301, 2.3, 2.298, 2.297, 2.295, 2.294, 2.292, 2.291, 2.289, 2.288, 2.286, 2.285, 2.284, 2.282, 2.281, 2.279, 2.278, 2.276, 2.275, 2.274, 2.272, 2.271, 2.269, 2.268, 2.266, 2.265, 2.264, 2.262, 2.261, 2.259, 2.258, 2.257, 2.255, 2.254, 2.253, 2.251, 2.25, 2.248, 2.247, 2.246, 2.244, 2.243, 2.242, 2.24, 2.239, 2.238, 2.236, 2.235, 2.234, 2.232, 2.231, 2.23, 2.228, 2.227, 2.226, 2.225, 2.223, 2.222, 2.221, 2.219, 2.218, 2.217, 2.215, 2.214, 2.213, 2.212, 2.21, 2.209, 2.208, 2.207, 2.205, 2.204, 2.203, 2.202, 2.2, 2.199, 2.198, 2.197, 2.195, 2.194, 2.193, 2.192, 2.19, 2.189, 2.188, 2.187, 2.185, 2.184, 2.183, 2.182, 2.181, 2.179, 2.178, 2.177, 2.176, 2.175, 2.173, 2.172, 2.171, 2.17, 2.169, 2.168, 2.166, 2.165, 2.164, 2.163, 2.162, 2.16, 2.159, 2.158, 2.157, 2.156, 2.155, 2.154, 2.152, 2.151, 2.15, 2.149, 2.148, 2.147, 2.146, 2.144, 2.143, 2.142, 2.141, 2.14, 2.139, 2.138, 2.136, 2.135, 2.134, 2.133, 2.132, 2.131, 2.13, 2.129, 2.128, 2.126, 2.125, 2.124, 2.123, 2.122, 2.121, 2.12, 2.119, 2.118, 2.117, 2.116, 2.114, 2.113, 2.112, 2.111, 2.11, 2.109, 2.108, 2.107, 2.106, 2.105, 2.104, 2.103, 2.102, 2.101, 2.1, 2.099, 2.097, 2.096, 2.095, 2.094, 2.093, 2.092, 2.091, 2.09, 2.089, 2.088, 2.087, 2.086, 2.085, 2.084, 2.083, 2.082, 2.081, 2.08, 2.079, 2.078, 2.077, 2.076, 2.075, 2.074, 2.073, 2.072, 2.071, 2.07, 2.069, 2.068, 2.067, 2.066, 2.065, 2.064, 2.063, 2.062, 2.061, 2.06, 2.059, 2.058, 2.057, 2.056, 2.055, 2.054, 2.053, 2.052, 2.051, 2.05, 2.049, 2.048, 2.047, 2.046, 2.045, 2.044, 2.043, 2.042, 2.041, 2.04, 2.039, 2.038, 2.037, 2.036, 2.036, 2.035, 2.034, 2.033, 2.032, 2.031, 2.03, 2.029, 2.028, 2.027, 2.026, 2.025, 2.024, 2.023, 2.022, 2.021, 2.02, 2.02, 2.019, 2.018, 2.017, 2.016, 2.015, 2.014, 2.013, 2.012, 2.011, 2.01, 2.009, 2.008, 2.008, 2.007, 2.006, 2.005, 2.004, 2.003, 2.002, 2.001, 2, 1.999, 1.998, 1.998, 1.997, 1.996, 1.995, 1.994, 1.993, 1.992, 1.991, 1.99, 1.99, 1.989, 1.988, 1.987, 1.986, 1.985, 1.984, 1.983, 1.982, 1.982, 1.981, 1.98, 1.979, 1.978, 1.977, 1.976, 1.975, 1.975, 1.974, 1.973, 1.972, 1.971, 1.97, 1.969, 1.969, 1.968, 1.967, 1.966, 1.965, 1.964, 1.963, 1.963, 1.962, 1.961, 1.96, 1.959, 1.958, 1.957, 1.957, 1.956, 1.955, 1.954, 1.953, 1.952, 1.952, 1.951, 1.95, 1.949, 1.948, 1.947, 1.947, 1.946, 1.945, 1.944, 1.943, 1.942, 1.942, 1.941, 1.94, 1.939, 1.938, 1.937, 1.937, 1.936, 1.935, 1.934, 1.933, 1.933, 1.932, 1.931, 1.93, 1.929, 1.928, 1.928, 1.927, 1.926, 1.925, 1.924, 1.924, 1.923, 1.922, 1.921, 1.92, 1.92, 1.919, 1.918, 1.917, 1.916, 1.916, 1.915, 1.914, 1.913, 1.912, 1.912, 1.911, 1.91, 1.909, 1.908, 1.908, 1.907, 1.906, 1.905, 1.904, 1.904, 1.903, 1.902, 1.901, 1.901, 1.9, 1.899, 1.898, 1.897, 1.897, 1.896, 1.895, 1.894, 1.894, 1.893, 1.892, 1.891, 1.89, 1.89, 1.889, 1.888, 1.887, 1.887, 1.886, 1.885, 1.884, 1.884, 1.883, 1.882, 1.881, 1.88, 1.88, 1.879, 1.878, 1.877, 1.877, 1.876, 1.875, 1.874, 1.874, 1.873, 1.872, 1.871, 1.871, 1.87, 1.869, 1.868, 1.868, 1.867, 1.866, 1.865, 1.865, 1.864, 1.863, 1.862, 1.862, 1.861, 1.86, 1.859, 1.859, 1.858, 1.857, 1.857, 1.856, 1.855, 1.854, 1.854, 1.853, 1.852, 1.851, 1.851, 1.85, 1.849, 1.848, 1.848, 1.847, 1.846, 1.846, 1.845, 1.844, 1.843, 1.843, 1.842, 1.841, 1.84, 1.84, 1.839, 1.838, 1.838, 1.837, 1.836, 1.835, 1.835, 1.834, 1.833, 1.833, 1.832, 1.831, 1.83, 1.83, 1.829, 1.828, 1.828, 1.827, 1.826, 1.825, 1.825, 1.824, 1.823, 1.823, 1.822, 1.821, 1.821, 1.82, 1.819, 1.818, 1.818, 1.817, 1.816, 1.816, 1.815, 1.814, 1.814, 1.813, 1.812, 1.811, 1.811, 1.81, 1.809, 1.809, 1.808, 1.807, 1.807, 1.806, 1.805, 1.805, 1.804, 1.803, 1.802, 1.802, 1.801, 1.8, 1.8, 1.799, 1.798, 1.798, 1.797, 1.796, 1.796, 1.795, 1.794, 1.794, 1.793, 1.792, 1.792, 1.791, 1.79, 1.79, 1.789, 1.788, 1.787, 1.787, 1.786, 1.785, 1.785, 1.784, 1.783, 1.783, 1.782, 1.781, 1.781, 1.78, 1.779, 1.779, 1.778, 1.777, 1.777, 1.776, 1.775, 1.775, 1.774, 1.773, 1.773, 1.772, 1.771, 1.771, 1.77, 1.769, 1.769, 1.768, 1.767, 1.767, 1.766, 1.766, 1.765, 1.764, 1.764, 1.763, 1.762, 1.762, 1.761, 1.76, 1.76, 1.759, 1.758, 1.758, 1.757, 1.756, 1.756, 1.755, 1.754, 1.754, 1.753, 1.752, 1.752, 1.751, 1.751, 1.75, 1.749, 1.749, 1.748, 1.747, 1.747, 1.746, 1.745, 1.745, 1.744, 1.743, 1.743, 1.742, 1.742, 1.741, 1.74, 1.74, 1.739, 1.738, 1.738, 1.737, 1.736, 1.736, 1.735, 1.735, 1.734, 1.733, 1.733, 1.732, 1.731, 1.731, 1.73, 1.729, 1.729, 1.728, 1.728, 1.727, 1.726, 1.726, 1.725, 1.724, 1.724, 1.723, 1.723, 1.722, 1.721, 1.721, 1.72, 1.719, 1.719, 1.718, 1.718, 1.717, 1.716, 1.716, 1.715, 1.715, 1.714, 1.713, 1.713, 1.712, 1.711, 1.711, 1.71, 1.71, 1.709, 1.708, 1.708, 1.707, 1.706, 1.706, 1.705, 1.705, 1.704, 1.703, 1.703, 1.702, 1.702, 1.701, 1.7, 1.7, 1.699, 1.699, 1.698, 1.697, 1.697, 1.696, 1.696, 1.695, 1.694, 1.694, 1.693, 1.692, 1.692, 1.691, 1.691, 1.69, 1.689, 1.689, 1.688, 1.688, 1.687, 1.686, 1.686, 1.685, 1.685, 1.684, 1.683, 1.683, 1.682, 1.682, 1.681, 1.68, 1.68, 1.679, 1.679, 1.678, 1.678, 1.677, 1.676, 1.676, 1.675, 1.675, 1.674, 1.673, 1.673, 1.672, 1.672, 1.671, 1.67, 1.67, 1.669, 1.669, 1.668, 1.667, 1.667, 1.666, 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0.9956, 0.9958, 0.9959, 0.996, 0.9962, 0.9963, 0.9964, 0.9966, 0.9967, 0.9968, 0.9969, 0.9971, 0.9972, 0.9973, 0.9974, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9985, 0.9986, 0.9986, 0.9987, 0.9988, 0.9989, 0.9989, 0.999, 0.9991, 0.9991, 0.9992, 0.9993, 0.9993, 0.9994, 0.9994, 0.9995, 0.9995, 0.9996, 0.9996, 0.9997, 0.9997, 0.9997, 0.9998, 0.9998, 0.9998, 0.9999, 0.9999, 0.9999, 0.9999, 0.9999, 1, 1, 1, 1, 1, 1, 1}; const static uint64 mask = max-1; return logvals[h.first&mask]*cosvals[h.second&mask]; // Note that we are just using the Box-Muller transform to compute the result. In // particular, we are doing this (where u1 and u2 are uniform random variables in // the range [0,1]): // return sqrt(-2*log(u1)) * cos(2*PI*u2); // It is just that we use table lookups to avoid calling sqrt(), log() and cos(). } // ---------------------------------------------------------------------------------------- } #endif // DLIB_RANDOM_HAsHING_Hh_