def test_skewness(self):
# Returns < 0.0 (few low values).
v = metrics.skewness([1,100,101,102,103])
self.assertTrue(v < 0.0)
# Returns > 0.0 (few high values).
v = metrics.skewness([1,2,3,4,100])
self.assertTrue(v > 0.0)
# Returns 0.0 (evenly distributed).
v = metrics.skewness([1,2,3,4])
self.assertTrue(v == 0.0)
def test_skewness(self):
# Assert < 0.0 (few low values).
v = metrics.skewness([1,100,101,102,103])
self.assertTrue(v < 0.0)
# Assert > 0.0 (few high values).
v = metrics.skewness([1,2,3,4,100])
self.assertTrue(v > 0.0)
# Assert 0.0 (evenly distributed).
v = metrics.skewness([1,2,3,4])
self.assertTrue(v == 0.0)
print("pattern.metrics.skewness()")
def test_skewness(self):
# Assert < 0.0 (few low values).
v = metrics.skewness([1, 100, 101, 102, 103])
self.assertTrue(v < 0.0)
# Assert > 0.0 (few high values).
v = metrics.skewness([1, 2, 3, 4, 100])
self.assertTrue(v > 0.0)
# Assert 0.0 (evenly distributed).
v = metrics.skewness([1, 2, 3, 4])
self.assertTrue(v == 0.0)
print("pattern.metrics.skewness()")
