old_C_code/stage1/test/TimeSeries/t.deserialize.c

   1 #include "TimeSeries/deserialize.h"
   2 #include "lut.h"
   3 #include <math.h>
   4 #include <stdlib.h>
   5 #include <stdio.h>
   6 #include "Util/utils.h"
   7
   8 void t_deserialize1()
   9 {
  10     // decode sample_byCols.bin into the toy dataset (4 customers, 3 sample points)
  11     const char* ifName = "../tdata/test/sample_byCols.bin";
  12
  13     // check 'header'
  14     uint32_t nbSeries = get_nbSeries(ifName);
  15     LUT_ASSERT(nbSeries == 4);
  16     uint32_t tsLength = get_tsLength(ifName);
  17     LUT_ASSERT(tsLength == 13); //3*3+4
  18
  19     uint32_t ranks[] =
  20     {
  21         0, 2, 1, 3
  22     };
  23     PowerCurve* powerCurves = deserialize(ifName, NULL, ranks, nbSeries);
  24
  25     Real epsilon = 0.1; //epsilon = 0.1 because raw powers are truncated
  26
  27     LUT_ASSERT(powerCurves[0].ID == 12301);
  28     LUT_ASSERT(fabs(powerCurves[0].values[0] - 23.051) < epsilon);
  29     LUT_ASSERT(fabs(powerCurves[0].values[1] - 33.052) < epsilon);
  30     LUT_ASSERT(fabs(powerCurves[0].values[2] - 43.053) < epsilon);
  31
  32     LUT_ASSERT(powerCurves[1].ID == 1313);
  33     LUT_ASSERT(fabs(powerCurves[1].values[0] - 50.05) < epsilon);
  34     LUT_ASSERT(fabs(powerCurves[1].values[1] - 51.05) < epsilon);
  35     LUT_ASSERT(fabs(powerCurves[1].values[2] - 52.05) < epsilon);
  36
  37     LUT_ASSERT(powerCurves[2].ID == 50000);
  38     LUT_ASSERT(fabs(powerCurves[2].values[0] - 150.321) < epsilon);
  39     LUT_ASSERT(fabs(powerCurves[2].values[1] - 160.322) < epsilon);
  40     LUT_ASSERT(fabs(powerCurves[2].values[2] - 140.323) < epsilon);
  41
  42     LUT_ASSERT(powerCurves[3].ID == 6300);
  43     LUT_ASSERT(fabs(powerCurves[3].values[0] - 500.30) < epsilon);
  44     LUT_ASSERT(fabs(powerCurves[3].values[1] - 501.31) < epsilon);
  45     LUT_ASSERT(fabs(powerCurves[3].values[2] - 502.32) < epsilon);
  46
  47     for (int i = 0; i < nbSeries; i++)
  48         free(powerCurves[i].values);
  49     free(powerCurves);
  50 }
  51
  52 void t_deserialize2()
  53 {
  54     // decode sample_byRows.bin into the toy dataset (4 customers, 3 sample points)
  55     const char* ifName = "../tdata/test/sample_byRows.bin";
  56
  57     // check 'header'
  58     uint32_t nbSeries = get_nbSeries(ifName);
  59     LUT_ASSERT(nbSeries == 4);
  60     uint32_t tsLength = get_tsLength(ifName);
  61     LUT_ASSERT(tsLength == 13); //3*3+4
  62
  63     uint32_t ranks[] =
  64     {
  65         0, 2, 1, 3
  66     };
  67     PowerCurve* powerCurves = deserialize(ifName, NULL, ranks, nbSeries);
  68
  69     Real epsilon = 0.1; //epsilon = 0.1 because raw powers are truncated
  70
  71     LUT_ASSERT(powerCurves[0].ID == 12301);
  72     LUT_ASSERT(fabs(powerCurves[0].values[0]/100.0-3 - 23.051) < epsilon);
  73     LUT_ASSERT(fabs(powerCurves[0].values[1]/100.0-3 - 33.052) < epsilon);
  74     LUT_ASSERT(fabs(powerCurves[0].values[2]/100.0-3 - 43.053) < epsilon);
  75
  76     LUT_ASSERT(powerCurves[1].ID == 1313);
  77     LUT_ASSERT(fabs(powerCurves[1].values[0]/100.0-3 - 50.05) < epsilon);
  78     LUT_ASSERT(fabs(powerCurves[1].values[1]/100.0-3 - 51.05) < epsilon);
  79     LUT_ASSERT(fabs(powerCurves[1].values[2]/100.0-3 - 52.05) < epsilon);
  80
  81     LUT_ASSERT(powerCurves[2].ID == 50000);
  82     LUT_ASSERT(fabs(powerCurves[2].values[0]/100.0-3 - 150.321) < epsilon);
  83     LUT_ASSERT(fabs(powerCurves[2].values[1]/100.0-3 - 160.322) < epsilon);
  84     LUT_ASSERT(fabs(powerCurves[2].values[2]/100.0-3 - 140.323) < epsilon);
  85
  86     LUT_ASSERT(powerCurves[3].ID == 6300);
  87     LUT_ASSERT(fabs(powerCurves[3].values[0]/100.0-3 - 500.30) < epsilon);
  88     LUT_ASSERT(fabs(powerCurves[3].values[1]/100.0-3 - 501.31) < epsilon);
  89     LUT_ASSERT(fabs(powerCurves[3].values[2]/100.0-3 - 502.32) < epsilon);
  90
  91     for (int i = 0; i < nbSeries; i++)
  92         free(powerCurves[i].values);
  93     free(powerCurves);
  94 }