def testInitializeCentroids(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
centroids = gdf.initializeCentroids(4)
self.assertEqual(4,len(centroids))
def testGenerateRandomCentroids(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
cent1 = gdf.generateRandomCentroid("foobar")
cent2 = gdf.generateRandomCentroid("foobar1")
self.assertFalse(gdf.inErrorRange(cent1, cent2))
def testInitializeGarminDataFilter(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
assembledData = gdf.getAssembledData()
self.assertNotEqual(None,assembledData)
self.assertEqual(11,len(assembledData))
for data in assembledData:
self.assertNotEqual(clusterdata.UNSET,data.netGained)
self.assertNotEqual(clusterdata.UNSET,data.netLost)
def testGetNormalizedMeasure(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
lo = gdf.loRanges[3]
hi = gdf.hiRanges[3]
range = hi - lo
val = lo + range/2
retVal = gdf.getNormalizedMeasure(100, val, 3)
self.assertEquals(50.0,retVal)
def testInErrorRange(self):
parser = MileSplitParser()
parser.loadData('../resources/test.csv')
gdf = GarminDataFilter(parser)
self.assertNotEqual(None,gdf)
lap1 = GarminLap.asLap(1,600,100,120,12,30)
lap2 = GarminLap.asLap(2,400,300,150,123,300)
self.assertFalse(gdf.inErrorRange(lap1, lap2))
lap1 = GarminLap.asLap(1,600,100,120,12,30)
lap2 = GarminLap.asLap(2,600,100,120,12,30)
self.assertTrue(gdf.inErrorRange(lap1, lap2))
