def _algorithm(self):
if len(self._data) == 2:
point_a = self._data[0]
point_b = self._data[1]
if len(point_a) == len(point_b):
mean = Mean()
mean_b = mean.calculate(point_b)
mean_a = mean.calculate(point_a)
try:
point_b_normalized = [(float(c) - mean_b) for c in point_b]
point_a_normalized = [(float(c) - mean_a) for c in point_a]
dividend = sum(map(operator.mul, point_a_normalized, point_b_normalized))
point_b_squared_normalized = sum([(float(c) - mean_b) ** 2 for c in point_b])
point_a_squared_normalized = sum([(float(c) - mean_a) ** 2 for c in point_a])
divider = math.sqrt(point_b_squared_normalized) * math.sqrt(point_a_squared_normalized)
self._result = 1 - (dividend / divider)
except ArithmeticError:
raise ArithmeticError("float division by zero")
else:
raise ArithmeticError("You cant calculate Correlation distance of array has different sizes.")
else:
raise ArithmeticError("You must enter two array to find Correlation distance.")
def _algorithm(self):
if len(self._data) == 2:
point_a = self._data[0]
point_b = self._data[1]
if len(point_a) == len(point_b):
mean = Mean()
mean_b = mean.calculate(point_b)
mean_a = mean.calculate(point_a)
try:
dividend = sum(
((float(c) + mean_b - mean_a))**2
for c in map(operator.sub, point_a, point_b))
divider = 2 * (sum(
(float(c) - mean_a)**2 for c in point_a) + sum(
(float(c) - mean_b)**2 for c in point_b))
self._result = (dividend / divider)
except ArithmeticError:
raise ArithmeticError("float division by zero")
else:
raise ArithmeticError(
"You cant calculate Normalized Squared Euclidean distance of array has different sizes."
)
else:
raise ArithmeticError(
"You must enter two array to find Normalized Squared Euclidean distance."
)
def test_algorithm_with_tuple(self):
test_logger.debug("MeanTest - test_algorithm_with_tuple Starts")
mean = Mean()
data_list = [("a", 1), ("b", 2), ("c", 3), ( "d", 4), ("e", 5)]
self.assertEquals(3, mean.calculate(data_list, is_tuple=True, index=1))
data_list = [("a", "a", 1), ("b", "b", 2), ("c", "c", 3), ("d", "d", 4), ("e", "e", 5)]
self.assertEquals(3.0, mean.calculate(data_list, is_tuple=True, index=2))
test_logger.debug("MeanTest - test_algorithm_with_tuple Ends")
def test_algorithm_with_tuple(self):
test_logger.debug("MeanTest - test_algorithm_with_tuple Starts")
mean = Mean()
data_list = [("a", 1), ("b", 2), ("c", 3), ("d", 4), ("e", 5)]
self.assertEquals(3, mean.calculate(data_list, is_tuple=True, index=1))
data_list = [("a", "a", 1), ("b", "b", 2), ("c", "c", 3),
("d", "d", 4), ("e", "e", 5)]
self.assertEquals(3.0, mean.calculate(data_list,
is_tuple=True,
index=2))
test_logger.debug("MeanTest - test_algorithm_with_tuple Ends")
def __algorithm(self):
try:
mean = Mean()
mean_value = mean.calculate(self._data)
values = map(lambda x: (float(x) - mean_value), self._data)
sum_formula = SumFormula()
sum_of_powers = sum_formula.calculate(values, power=2)
result = sum_of_powers / (self._n - 1)
return round(result, 4)
except:
raise
def __algorithm(self):
try:
mean = Mean()
mean_value = mean.calculate(self._data)
values = map(lambda x: (float(x) - mean_value), self._data)
sum_formula = SumFormula()
sum_of_powers = sum_formula.calculate(values, power=2)
result = sum_of_powers / (self._n - 1)
return round(result, 4)
except:
raise
def test_algorithm_with_list(self):
test_logger.debug("MeanTest - test_algorithm_with_list Starts")
mean = Mean()
data_list = [1, 2, 3, 4, 5]
self.assertEquals(3, mean.calculate(data_list))
data_list = [1, 2, 3, 4]
self.assertEquals(2.5, mean.calculate(data_list))
data_list = []
with self.assertRaises(ZeroDivisionError) as context:
mean.calculate(data_list)
self.assertEqual("integer division or modulo by zero",
context.exception.message)
test_logger.debug("MeanTest - test_algorithm_with_list Ends")
def _algorithm(self):
if len(self._data) == 2:
point_a = self._data[0]
point_b = self._data[1]
if len(point_a) == len(point_b):
mean = Mean()
mean_b = mean.calculate(point_b)
mean_a = mean.calculate(point_a)
try:
dividend = sum(
((float(c) + mean_b - mean_a )) ** 2 for c in map(operator.sub, point_a, point_b))
divider = 2 * (
sum((float(c) - mean_a ) ** 2 for c in point_a) + sum(
(float(c) - mean_b ) ** 2 for c in point_b))
self._result = (dividend / divider)
except ArithmeticError:
raise ArithmeticError("float division by zero")
else:
raise ArithmeticError(
"You cant calculate Normalized Squared Euclidean distance of array has different sizes.")
else:
raise ArithmeticError("You must enter two array to find Normalized Squared Euclidean distance.")
def test_algorithm_with_list(self):
test_logger.debug("MeanTest - test_algorithm_with_list Starts")
mean = Mean()
data_list = [1, 2, 3, 4, 5]
self.assertEquals(3, mean.calculate(data_list))
data_list = [1, 2, 3, 4]
self.assertEquals(2.5, mean.calculate(data_list))
data_list = []
with self.assertRaises(ZeroDivisionError) as context:
mean.calculate(data_list)
self.assertEqual("integer division or modulo by zero",
context.exception.message)
test_logger.debug("MeanTest - test_algorithm_with_list Ends")