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raw data relative_analize
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dimarub2000
parent
4f89f8f4dd
commit
b780072a9d
@ -67,6 +67,7 @@ public:
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connections.reserve(connections_cnt);
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comparison_info_total.reserve(connections_cnt);
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comparison_info_per_interval.reserve(connections_cnt);
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comparison_relative.data.resize(connections_cnt);
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for (size_t i = 0; i < connections_cnt; ++i)
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{
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@ -183,6 +184,178 @@ private:
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}
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};
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struct RelativeAnalysis
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{
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struct RelativeStats
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{
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size_t cnt = 0;
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double sum = 0;
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double squares_sum = 0;
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void add(double seconds)
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{
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++cnt;
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sum += seconds;
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squares_sum += seconds * seconds;
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}
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double avg()
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{
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return sum / cnt;
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}
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double var()
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{
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return (squares_sum - (sum * sum / cnt)) / static_cast<double>(cnt - 1);
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}
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};
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std::vector<double> confidence_level = { 80, 90, 95, 98, 99, 99.5 };
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std::vector<std::vector<double>> students_table = {
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/* inf */ { 1.282, 1.645, 1.960, 2.326, 2.576, 3.090 },
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/* 1. */ { 3.078, 6.314, 12.706, 31.821, 63.657, 318.313 },
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/* 2. */ { 1.886, 2.920, 4.303, 6.965, 9.925, 22.327 },
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/* 3. */ { 1.638, 2.353, 3.182, 4.541, 5.841, 10.215 },
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/* 4. */ { 1.533, 2.132, 2.776, 3.747, 4.604, 7.173 },
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/* 5. */ { 1.476, 2.015, 2.571, 3.365, 4.032, 5.893 },
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/* 6. */ { 1.440, 1.943, 2.447, 3.143, 3.707, 5.208 },
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/* 7. */ { 1.415, 1.895, 2.365, 2.998, 3.499, 4.782 },
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/* 8. */ { 1.397, 1.860, 2.306, 2.896, 3.355, 4.499 },
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/* 9. */ { 1.383, 1.833, 2.262, 2.821, 3.250, 4.296 },
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/* 10. */ { 1.372, 1.812, 2.228, 2.764, 3.169, 4.143 },
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/* 11. */ { 1.363, 1.796, 2.201, 2.718, 3.106, 4.024 },
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/* 12. */ { 1.356, 1.782, 2.179, 2.681, 3.055, 3.929 },
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/* 13. */ { 1.350, 1.771, 2.160, 2.650, 3.012, 3.852 },
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/* 14. */ { 1.345, 1.761, 2.145, 2.624, 2.977, 3.787 },
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/* 15. */ { 1.341, 1.753, 2.131, 2.602, 2.947, 3.733 },
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/* 16. */ { 1.337, 1.746, 2.120, 2.583, 2.921, 3.686 },
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/* 17. */ { 1.333, 1.740, 2.110, 2.567, 2.898, 3.646 },
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/* 18. */ { 1.330, 1.734, 2.101, 2.552, 2.878, 3.610 },
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/* 19. */ { 1.328, 1.729, 2.093, 2.539, 2.861, 3.579 },
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/* 20. */ { 1.325, 1.725, 2.086, 2.528, 2.845, 3.552 },
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/* 21. */ { 1.323, 1.721, 2.080, 2.518, 2.831, 3.527 },
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/* 22. */ { 1.321, 1.717, 2.074, 2.508, 2.819, 3.505 },
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/* 23. */ { 1.319, 1.714, 2.069, 2.500, 2.807, 3.485 },
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/* 24. */ { 1.318, 1.711, 2.064, 2.492, 2.797, 3.467 },
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/* 25. */ { 1.316, 1.708, 2.060, 2.485, 2.787, 3.450 },
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/* 26. */ { 1.315, 1.706, 2.056, 2.479, 2.779, 3.435 },
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/* 27. */ { 1.314, 1.703, 2.052, 2.473, 2.771, 3.421 },
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/* 28. */ { 1.313, 1.701, 2.048, 2.467, 2.763, 3.408 },
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/* 29. */ { 1.311, 1.699, 2.045, 2.462, 2.756, 3.396 },
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/* 30. */ { 1.310, 1.697, 2.042, 2.457, 2.750, 3.385 },
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/* 31. */ { 1.309, 1.696, 2.040, 2.453, 2.744, 3.375 },
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/* 32. */ { 1.309, 1.694, 2.037, 2.449, 2.738, 3.365 },
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/* 33. */ { 1.308, 1.692, 2.035, 2.445, 2.733, 3.356 },
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/* 34. */ { 1.307, 1.691, 2.032, 2.441, 2.728, 3.348 },
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/* 35. */ { 1.306, 1.690, 2.030, 2.438, 2.724, 3.340 },
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/* 36. */ { 1.306, 1.688, 2.028, 2.434, 2.719, 3.333 },
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/* 37. */ { 1.305, 1.687, 2.026, 2.431, 2.715, 3.326 },
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/* 38. */ { 1.304, 1.686, 2.024, 2.429, 2.712, 3.319 },
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/* 39. */ { 1.304, 1.685, 2.023, 2.426, 2.708, 3.313 },
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/* 40. */ { 1.303, 1.684, 2.021, 2.423, 2.704, 3.307 },
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/* 41. */ { 1.303, 1.683, 2.020, 2.421, 2.701, 3.301 },
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/* 42. */ { 1.302, 1.682, 2.018, 2.418, 2.698, 3.296 },
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/* 43. */ { 1.302, 1.681, 2.017, 2.416, 2.695, 3.291 },
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/* 44. */ { 1.301, 1.680, 2.015, 2.414, 2.692, 3.286 },
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/* 45. */ { 1.301, 1.679, 2.014, 2.412, 2.690, 3.281 },
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/* 46. */ { 1.300, 1.679, 2.013, 2.410, 2.687, 3.277 },
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/* 47. */ { 1.300, 1.678, 2.012, 2.408, 2.685, 3.273 },
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/* 48. */ { 1.299, 1.677, 2.011, 2.407, 2.682, 3.269 },
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/* 49. */ { 1.299, 1.677, 2.010, 2.405, 2.680, 3.265 },
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/* 50. */ { 1.299, 1.676, 2.009, 2.403, 2.678, 3.261 },
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/* 51. */ { 1.298, 1.675, 2.008, 2.402, 2.676, 3.258 },
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/* 52. */ { 1.298, 1.675, 2.007, 2.400, 2.674, 3.255 },
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/* 53. */ { 1.298, 1.674, 2.006, 2.399, 2.672, 3.251 },
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/* 54. */ { 1.297, 1.674, 2.005, 2.397, 2.670, 3.248 },
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/* 55. */ { 1.297, 1.673, 2.004, 2.396, 2.668, 3.245 },
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/* 56. */ { 1.297, 1.673, 2.003, 2.395, 2.667, 3.242 },
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/* 57. */ { 1.297, 1.672, 2.002, 2.394, 2.665, 3.239 },
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/* 58. */ { 1.296, 1.672, 2.002, 2.392, 2.663, 3.237 },
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/* 59. */ { 1.296, 1.671, 2.001, 2.391, 2.662, 3.234 },
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/* 60. */ { 1.296, 1.671, 2.000, 2.390, 2.660, 3.232 },
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/* 61. */ { 1.296, 1.670, 2.000, 2.389, 2.659, 3.229 },
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/* 62. */ { 1.295, 1.670, 1.999, 2.388, 2.657, 3.227 },
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/* 63. */ { 1.295, 1.669, 1.998, 2.387, 2.656, 3.225 },
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/* 64. */ { 1.295, 1.669, 1.998, 2.386, 2.655, 3.223 },
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/* 65. */ { 1.295, 1.669, 1.997, 2.385, 2.654, 3.220 },
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/* 66. */ { 1.295, 1.668, 1.997, 2.384, 2.652, 3.218 },
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/* 67. */ { 1.294, 1.668, 1.996, 2.383, 2.651, 3.216 },
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/* 68. */ { 1.294, 1.668, 1.995, 2.382, 2.650, 3.214 },
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/* 69. */ { 1.294, 1.667, 1.995, 2.382, 2.649, 3.213 },
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/* 70. */ { 1.294, 1.667, 1.994, 2.381, 2.648, 3.211 },
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/* 71. */ { 1.294, 1.667, 1.994, 2.380, 2.647, 3.209 },
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/* 72. */ { 1.293, 1.666, 1.993, 2.379, 2.646, 3.207 },
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/* 73. */ { 1.293, 1.666, 1.993, 2.379, 2.645, 3.206 },
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/* 74. */ { 1.293, 1.666, 1.993, 2.378, 2.644, 3.204 },
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/* 75. */ { 1.293, 1.665, 1.992, 2.377, 2.643, 3.202 },
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/* 76. */ { 1.293, 1.665, 1.992, 2.376, 2.642, 3.201 },
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/* 77. */ { 1.293, 1.665, 1.991, 2.376, 2.641, 3.199 },
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/* 78. */ { 1.292, 1.665, 1.991, 2.375, 2.640, 3.198 },
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/* 79. */ { 1.292, 1.664, 1.990, 2.374, 2.640, 3.197 },
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/* 80. */ { 1.292, 1.664, 1.990, 2.374, 2.639, 3.195 },
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/* 81. */ { 1.292, 1.664, 1.990, 2.373, 2.638, 3.194 },
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/* 82. */ { 1.292, 1.664, 1.989, 2.373, 2.637, 3.193 },
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/* 83. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.191 },
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/* 84. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.190 },
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/* 85. */ { 1.292, 1.663, 1.988, 2.371, 2.635, 3.189 },
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/* 86. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.188 },
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/* 87. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.187 },
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/* 88. */ { 1.291, 1.662, 1.987, 2.369, 2.633, 3.185 },
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/* 89. */ { 1.291, 1.662, 1.987, 2.369, 2.632, 3.184 },
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/* 90. */ { 1.291, 1.662, 1.987, 2.368, 2.632, 3.183 },
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/* 91. */ { 1.291, 1.662, 1.986, 2.368, 2.631, 3.182 },
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/* 92. */ { 1.291, 1.662, 1.986, 2.368, 2.630, 3.181 },
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/* 93. */ { 1.291, 1.661, 1.986, 2.367, 2.630, 3.180 },
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/* 94. */ { 1.291, 1.661, 1.986, 2.367, 2.629, 3.179 },
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/* 95. */ { 1.291, 1.661, 1.985, 2.366, 2.629, 3.178 },
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/* 96. */ { 1.290, 1.661, 1.985, 2.366, 2.628, 3.177 },
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/* 97. */ { 1.290, 1.661, 1.985, 2.365, 2.627, 3.176 },
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/* 98. */ { 1.290, 1.661, 1.984, 2.365, 2.627, 3.175 },
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/* 99. */ { 1.290, 1.660, 1.984, 2.365, 2.626, 3.175 },
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/* 100. */ { 1.290, 1.660, 1.984, 2.364, 2.626, 3.174 }
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};
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std::vector<RelativeStats> data;
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bool report(UInt8 confidence_index)
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{
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if (data.size() != 2) /// Works for two connections only
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return true;
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size_t i = (data[0].cnt - 1) + (data[1].cnt - 1);
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double t = students_table[i > 100 ? 0 : i][confidence_index];
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double spool = (data[0].cnt - 1) * data[0].var() + (data[1].cnt - 1) * data[1].var();
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spool = sqrt(spool / i);
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double s = spool * sqrt(1.0 / data[0].cnt + 1.0 / data[1].cnt);
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double d = data[0].avg() - data[1].avg();
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double e = t * s;
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std::cerr << '\n';
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if (fabs(d) > e)
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{
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std::cerr << std::setprecision(1) << "Difference at " << confidence_level[confidence_index] << "% confidence\n" << std::setprecision(6);
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std::cerr << "\t" << d << " +/- " << e << "\n";
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std::cerr << "\t" << d * 100 / data[1].avg() << " +/- " << e * 100 / data[1].avg() << "\n";
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std::cerr << "\t(Student's t, pooled s = " << spool << ")\n" << std::setprecision(3);
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return false;
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}
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else
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{
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std::cerr << std::setprecision(1) << "No difference proven at " << confidence_level[confidence_index] << "% confidence\n" << std::setprecision(3);
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return true;
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}
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}
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};
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RelativeAnalysis comparison_relative;
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using MultiStats = std::vector<std::shared_ptr<Stats>>;
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MultiStats comparison_info_per_interval;
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MultiStats comparison_info_total;
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@ -254,6 +427,9 @@ private:
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{
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printNumberOfQueriesExecuted(queries_executed);
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cumulative ? report(comparison_info_total) : report(comparison_info_per_interval);
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comparison_relative.report(5);
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delay_watch.restart();
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}
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}
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@ -300,6 +476,7 @@ private:
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printNumberOfQueriesExecuted(queries_executed);
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report(comparison_info_total);
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comparison_relative.report(5);
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}
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@ -366,6 +543,7 @@ private:
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comparison_info_per_interval[connection_index]->add(seconds, progress.read_rows, progress.read_bytes, info.rows, info.bytes);
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comparison_info_total[connection_index]->add(seconds, progress.read_rows, progress.read_bytes, info.rows, info.bytes);
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comparison_relative.data[connection_index].add(seconds);
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}
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void report(MultiStats & infos)
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@ -380,14 +558,16 @@ private:
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if (0 == info->queries)
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return;
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double seconds = info->work_time / concurrency;
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std::cerr
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<< "connection " << info_counter++ << ", "
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<< "queries " << info->queries << ", "
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<< "QPS: " << (info->queries / info->work_time) << ", "
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<< "RPS: " << (info->read_rows / info->work_time) << ", "
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<< "MiB/s: " << (info->read_bytes / info->work_time / 1048576) << ", "
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<< "result RPS: " << (info->result_rows / info->work_time) << ", "
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<< "result MiB/s: " << (info->result_bytes / info->work_time / 1048576) << "."
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<< "QPS: " << (info->queries / seconds) << ", "
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<< "RPS: " << (info->read_rows / seconds) << ", "
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<< "MiB/s: " << (info->read_bytes / seconds / 1048576) << ", "
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<< "result RPS: " << (info->result_rows / seconds) << ", "
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<< "result MiB/s: " << (info->result_bytes / seconds / 1048576) << "."
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<< "\n";
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}
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std::cerr << "\n\t\t";
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@ -415,9 +595,11 @@ private:
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print_percentile(99.99);
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if (!cumulative)
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{
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for (auto & info : infos)
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info->clear();
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}
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}
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void reportJSON(MultiStats & infos, const std::string & filename)
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{
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