def test_nans_are_ignored(self):
"""
Check that we ignore 0's and nan values
:return: Nothing
"""
print("Testing that signal_variance ignores 0's/NaNs correctly")
expected = signal_variance([1, 2, 3, 4, 5])
zeroes = signal_variance([1, 0, 2, 0, 3, 0, 4, 0, 5, 0])
nans = signal_variance([1, 2, 3, 4, 5, float('nan'), float('nan')])
self.assertEqual(expected, zeroes,
"signal variance is not ignoring 0's")
self.assertEqual(expected, nans, "sign_variance is not ignoring NaN's")
def test_throws_exception(self):
"""
Check that we thrown an exception if no valid salinities are given
:return: Nothing
"""
print(
"Testing that signal_variance throws an exception for no valid salinities"
)
with self.assertRaises(Exception) as no_valid_sal:
signal_variance([0, 0, float('nan'), float('nan')])
self.assertTrue(
'Received no valid salinity values when calculating signal variance'
in str(no_valid_sal.exception))
def test_negtive_inputs_against_positive(self):
"""
Check that giving a set of negative inputs gives the same result as positive inputs
:return: Nothing
"""
print(
"Testing that signal_variance returns the same result for input and -input"
)
positive = signal_variance([30, 20, 10, 40, 50])
negative = signal_variance([-30, -20, -10, -40, -50])
self.assertEqual(
positive, negative,
"signal_variance is not returning the same result for input and -input"
)
def test_returns_float(self):
"""
Check that we return a float if given some data
:return: Nothing
"""
print("Testing that signal_variance returns a float")
var = signal_variance([1, 2, 3, 4, 5])
self.assertTrue(isinstance(var, float),
"signal variance is not a float")
def test_returns_correct_result(self):
"""
Check that we get the expected result from some inputs
:return: Nothing
"""
print("Testing that signal_variance gives the expected results")
expected = 0.185000000000001
ans = signal_variance([-35, -35.5, -35.7, -36.2])
self.assertEqual(ans, expected,
"signal_variance did not give the expected result")