def execute_value_error_test(self):
"""Test for the ValueError in SimpleMovingAverage.execute()."""
tsOne = TimeSeries()
data = [[1.5, 10.0],[2.5, 12.4],[3.5, 17.380000000000003],[4.5, 16.666],[5.5, 20.6662],[6.5, 23.46634],[7.5, 20.026438]]
tsTwo = TimeSeries.from_twodim_list(data)
sma = SimpleMovingAverage(3)
tsOne.normalize("second")
res = tsTwo.apply(sma)
try:
tsOne.apply(sma)
except ValueError:
pass
else:
assert False # pragma: no cover
def execute_value_error_test(self):
"""Test for the ValueError in SimpleMovingAverage.execute()."""
tsOne = TimeSeries()
data = [[1.5, 10.0], [2.5, 12.4], [3.5, 17.380000000000003],
[4.5, 16.666], [5.5, 20.6662], [6.5, 23.46634],
[7.5, 20.026438]]
tsTwo = TimeSeries.from_twodim_list(data)
sma = SimpleMovingAverage(3)
tsOne.normalize("second")
res = tsTwo.apply(sma)
try:
tsOne.apply(sma)
except ValueError:
pass
else:
assert False # pragma: no cover
def method_test(self):
"""Test if TimeSeries apply branches work correctly.
This is mainly to increase code coverage."""
mOne = BaseMethod([], hasToBeSorted=True, hasToBeNormalized=True)
mTwo = BaseMethod([], hasToBeSorted=False, hasToBeNormalized=True)
mThree = BaseMethod([], hasToBeSorted=True, hasToBeNormalized=False)
mFour = BaseMethod([], hasToBeSorted=False, hasToBeNormalized=False)
ts = TimeSeries(isNormalized=True)
ts.add_entry(0.0, 0.0)
ts.add_entry(0.1, 0.1)
ts.add_entry(0.2, 0.2)
ts.add_entry(0.3, 0.3)
ts.add_entry(0.4, 0.4)
try:
ts.apply(mOne)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
try:
ts.apply(mTwo)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
try:
ts.apply(mThree)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
try:
ts.apply(mFour)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
def method_test(self):
"""Test if TimeSeries apply branches work correctly.
This is mainly to increase code coverage."""
mOne = BaseMethod([], hasToBeSorted=True, hasToBeNormalized=True)
mTwo = BaseMethod([], hasToBeSorted=False, hasToBeNormalized=True)
mThree = BaseMethod([], hasToBeSorted=True, hasToBeNormalized=False)
mFour = BaseMethod([], hasToBeSorted=False, hasToBeNormalized=False)
ts = TimeSeries(isNormalized=True)
ts.add_entry(0.0, 0.0)
ts.add_entry(0.1, 0.1)
ts.add_entry(0.2, 0.2)
ts.add_entry(0.3, 0.3)
ts.add_entry(0.4, 0.4)
try:
ts.apply(mOne)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
try:
ts.apply(mTwo)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
try:
ts.apply(mThree)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
try:
ts.apply(mFour)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
