def test_can_compute_begining_moment(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act
bmoment = stat.begining_moment(k=1)
# Assert
self.assertEqual(bmoment, 2.0)
def compute(self):
try:
calculator = StatisticalValues(self.x)
if (self.statistic == 'mean'):
self.result = calculator.mean()
elif (self.statistic == 'variance'):
self.result = calculator.variance()
elif (self.statistic == 'median'):
self.result = calculator.median()
elif (self.statistic == 'begining moment'):
self.result = calculator.begining_moment(self.k)
elif (self.statistic == 'central moment'):
self.result = calculator.central_moment(self.k)
except Exception as exp:
self.error_msg = "Error: {}". format(exp)
def compute(self):
try:
calculator = StatisticalValues(self.x)
if (self.statistic == 'mean'):
self.result = calculator.mean()
elif (self.statistic == 'variance'):
self.result = calculator.variance()
elif (self.statistic == 'median'):
self.result = calculator.median()
elif (self.statistic == 'begining moment'):
self.result = calculator.begining_moment(self.k)
elif (self.statistic == 'central moment'):
self.result = calculator.central_moment(self.k)
self.logger.log(
"Statistics with name `{}` was calculated. Result value is {}".
format(self.statistic, self.result))
except Exception as exp:
self.error_msg = "Error: {}".format(exp)
self.logger.log(self.error_msg)
def test_bmoment_raises_on_neg_k(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act & Assert
with self.assertRaises(ValueError):
stat.begining_moment(k=-1)