X-Git-Url: https://git.auder.net/css/rpsls.css?a=blobdiff_plain;ds=sidebyside;f=old_C_code%2Fstage1%2Ftest%2FTimeSeries%2Ft.deserialize.c;fp=old_C_code%2Fstage1%2Ftest%2FTimeSeries%2Ft.deserialize.c;h=0000000000000000000000000000000000000000;hb=62deb4244895a20a35397dfb062f0b9fe94c5012;hp=3a6413d8ab6566ea7234e1b4e83505f6c234c238;hpb=3eef8d3df59ded9a281cff51f79fe824198a7427;p=epclust.git

diff --git a/old_C_code/stage1/test/TimeSeries/t.deserialize.c b/old_C_code/stage1/test/TimeSeries/t.deserialize.c
deleted file mode 100644
index 3a6413d..0000000
--- a/old_C_code/stage1/test/TimeSeries/t.deserialize.c
+++ /dev/null
@@ -1,94 +0,0 @@
-#include "TimeSeries/deserialize.h"
-#include "lut.h"
-#include <math.h>
-#include <stdlib.h>
-#include <stdio.h>
-#include "Util/utils.h"
-
-void t_deserialize1()
-{
-	// decode sample_byCols.bin into the toy dataset (4 customers, 3 sample points)
-	const char* ifName = "../tdata/test/sample_byCols.bin";
-	
-	// check 'header'
-	uint32_t nbSeries = get_nbSeries(ifName);
-	LUT_ASSERT(nbSeries == 4);
-	uint32_t tsLength = get_tsLength(ifName);
-	LUT_ASSERT(tsLength == 13); //3*3+4
-	
-	uint32_t ranks[] =
-	{
-		0, 2, 1, 3
-	};
-	PowerCurve* powerCurves = deserialize(ifName, NULL, ranks, nbSeries);
-
-	Real epsilon = 0.1; //epsilon = 0.1 because raw powers are truncated
-	
-	LUT_ASSERT(powerCurves[0].ID == 12301);
-	LUT_ASSERT(fabs(powerCurves[0].values[0] - 23.051) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[0].values[1] - 33.052) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[0].values[2] - 43.053) < epsilon);
-	
-	LUT_ASSERT(powerCurves[1].ID == 1313);
-	LUT_ASSERT(fabs(powerCurves[1].values[0] - 50.05) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[1].values[1] - 51.05) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[1].values[2] - 52.05) < epsilon);
-	
-	LUT_ASSERT(powerCurves[2].ID == 50000);
-	LUT_ASSERT(fabs(powerCurves[2].values[0] - 150.321) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[2].values[1] - 160.322) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[2].values[2] - 140.323) < epsilon);
-
-	LUT_ASSERT(powerCurves[3].ID == 6300);
-	LUT_ASSERT(fabs(powerCurves[3].values[0] - 500.30) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[3].values[1] - 501.31) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[3].values[2] - 502.32) < epsilon);
-
-	for (int i = 0; i < nbSeries; i++)
-		free(powerCurves[i].values);
-	free(powerCurves);
-}
-
-void t_deserialize2()
-{
-	// decode sample_byRows.bin into the toy dataset (4 customers, 3 sample points)
-	const char* ifName = "../tdata/test/sample_byRows.bin";
-	
-	// check 'header'
-	uint32_t nbSeries = get_nbSeries(ifName);
-	LUT_ASSERT(nbSeries == 4);
-	uint32_t tsLength = get_tsLength(ifName);
-	LUT_ASSERT(tsLength == 13); //3*3+4
-	
-	uint32_t ranks[] =
-	{
-		0, 2, 1, 3
-	};
-	PowerCurve* powerCurves = deserialize(ifName, NULL, ranks, nbSeries);
-
-	Real epsilon = 0.1; //epsilon = 0.1 because raw powers are truncated
-	
-	LUT_ASSERT(powerCurves[0].ID == 12301);
-	LUT_ASSERT(fabs(powerCurves[0].values[0]/100.0-3 - 23.051) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[0].values[1]/100.0-3 - 33.052) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[0].values[2]/100.0-3 - 43.053) < epsilon);
-	
-	LUT_ASSERT(powerCurves[1].ID == 1313);
-	LUT_ASSERT(fabs(powerCurves[1].values[0]/100.0-3 - 50.05) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[1].values[1]/100.0-3 - 51.05) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[1].values[2]/100.0-3 - 52.05) < epsilon);
-	
-	LUT_ASSERT(powerCurves[2].ID == 50000);
-	LUT_ASSERT(fabs(powerCurves[2].values[0]/100.0-3 - 150.321) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[2].values[1]/100.0-3 - 160.322) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[2].values[2]/100.0-3 - 140.323) < epsilon);
-
-	LUT_ASSERT(powerCurves[3].ID == 6300);
-	LUT_ASSERT(fabs(powerCurves[3].values[0]/100.0-3 - 500.30) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[3].values[1]/100.0-3 - 501.31) < epsilon);
-	LUT_ASSERT(fabs(powerCurves[3].values[2]/100.0-3 - 502.32) < epsilon);
-
-	for (int i = 0; i < nbSeries; i++)
-		free(powerCurves[i].values);
-	free(powerCurves);
-}