def test_can_compute_median_one_element(self):
# Arrange
stat = StatisticalValues(1)
# Act
median = stat.median()
# Assert
self.assertEqual(median, 1)
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 test_can_compute_var_one_element(self):
# Arrange
stat = StatisticalValues(1)
# Act
var = stat.variance()
# Assert
self.assertEqual(var, 0)
def test_can_compute_even_median(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 3, 5])
# Act
median = stat.median()
# Assert
self.assertEqual(median, 3.0)
def test_can_compute_var(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act
var = stat.variance()
# Assert
self.assertEqual(var, 0.5)
def test_can_compute_kth_central_moment(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act
cmoment = stat.central_moment(k=4)
# Assert
self.assertEqual(cmoment, 0.5)
def test_can_compute_mean(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act
mean = stat.mean()
# Assert
self.assertEqual(mean, 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_can_create_from_array(self):
# Arrange
stat = StatisticalValues([1, 2, 3])
# Act & Assert
self.assertTrue(isinstance(stat, StatisticalValues))
def test_raises_on_empty(self):
with self.assertRaises(TypeError):
StatisticalValues()
def test_raises_on_incorrect_type(self):
with self.assertRaises(TypeError):
StatisticalValues('d')
def test_can_create_from_float(self):
# Arrange
stat = StatisticalValues(1.0)
# Act & Assert
self.assertTrue(isinstance(stat, StatisticalValues))
def test_cmoment_raises_on_neg_k(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act & Assert
with self.assertRaises(ValueError):
stat.central_moment(k=-1)
def test_bmoment_raises_on_incorrect_k(self):
# Arrange
stat = StatisticalValues([1, 2, 3, 2])
# Act & Assert
with self.assertRaises(ValueError):
stat.begining_moment(k=0)