Exemplo n.º 1
0
class testMatrixStatistics(unittest.TestCase):
    def setUp(self):
        random.seed(12345)
        num_elems = 50 * 49 // 2
        self.contents = random.sample(xrange(num_elems + 1), num_elems)
        self.condensedMatrix = CondensedMatrix(self.contents)

    def test_mean(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateMean(),
                                numpy.mean(self.contents))  #, delta = 1)

    def test_variance(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateVariance(),
                                numpy.var(self.contents))  #, delta = 1)

    def test_skewness(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateSkewness(
        ), -0.000733274016748)  #scipy.stats.skew(self.contents))#d, delta = 1)

    def test_kurtosis(self):
        self.assertAlmostEquals(
            self.condensedMatrix.calculateKurtosis(),
            -1.20119577613)  #scipy.stats.kurtosis(self.contents))#, delta = 1)

    def test_max(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateMax(),
                                numpy.max(self.contents))  #, delta = 1)

    def test_min(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateMin(),
                                numpy.min(self.contents))  #, delta = 1)
Exemplo n.º 2
0
class testMatrixStatistics(unittest.TestCase):
    
    def setUp(self):
        random.seed(12345)
        num_elems = 50*49/2;
        self.contents = random.sample(xrange(num_elems+1),num_elems)
        self.condensedMatrix = CondensedMatrix(self.contents)
        
    def test_mean(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateMean(), numpy.mean(self.contents))#, delta = 1)
    
    def test_variance(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateVariance(), numpy.var(self.contents))#, delta = 1)
    
    def test_skewness(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateSkewness(), -0.000733274016748)#scipy.stats.skew(self.contents))#d, delta = 1)
    
    def test_kurtosis(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateKurtosis(), -1.20119577613)#scipy.stats.kurtosis(self.contents))#, delta = 1)
    
    def test_max(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateMax(), numpy.max(self.contents))#, delta = 1)

    def test_min(self):
        self.assertAlmostEquals(self.condensedMatrix.calculateMin(), numpy.min(self.contents))#, delta = 1)