def double_initialize_test(self):
"""Test for the error ocuring when the same error measure is initialized twice."""
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
tsOrg = TimeSeries.from_twodim_list(data)
tsCalc = TimeSeries.from_twodim_list(data)
bem = BaseErrorMeasure()
bem_calculate = bem._calculate
bem_local_error = bem.local_error
def return_zero(ignoreMe, ignoreMeToo):
return 0
# remove the NotImplementedErrors for initialization
bem.local_error = return_zero
bem._calculate = return_zero
# correct initialize call
bem.initialize(tsOrg, tsCalc)
# incorrect initialize call
for cnt in xrange(10):
try:
bem.initialize(tsOrg, tsCalc)
except StandardError:
pass
else:
assert False # pragma: no cover
bem.local_error = bem_calculate
bem._calculate = bem_local_error
def double_initialize_test(self):
"""Test for the error ocuring when the same error measure is initialized twice."""
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
tsOrg = TimeSeries.from_twodim_list(data)
tsCalc = TimeSeries.from_twodim_list(data)
bem = BaseErrorMeasure()
bem_calculate = bem._calculate
bem_local_error = bem.local_error
def return_zero(ignoreMe, ignoreMeToo):
return 0
# remove the NotImplementedErrors for initialization
bem.local_error = return_zero
bem._calculate = return_zero
# correct initialize call
bem.initialize(tsOrg, tsCalc)
# incorrect initialize call
for cnt in range(10):
try:
bem.initialize(tsOrg, tsCalc)
except Exception:
pass
else:
assert False # pragma: no cover
bem.local_error = bem_calculate
bem._calculate = bem_local_error
def local_error_test(self):
"""Test local_error of BaseErrorMeasure."""
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
tsOrg = TimeSeries.from_twodim_list(data)
tsCalc = TimeSeries.from_twodim_list(data)
bem = BaseErrorMeasure()
for idx in range(len(tsOrg)):
try:
bem.local_error([tsOrg[idx][1]], [tsCalc[idx][1]])
except NotImplementedError:
pass
else:
assert False # pragma: no cover
def local_error_test(self):
"""Test local_error of BaseErrorMeasure."""
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
tsOrg = TimeSeries.from_twodim_list(data)
tsCalc = TimeSeries.from_twodim_list(data)
bem = BaseErrorMeasure()
for idx in xrange(len(tsOrg)):
try:
bem.local_error([tsOrg[idx][1]], [tsCalc[idx][1]])
except NotImplementedError:
pass
else:
assert False # pragma: no cover
def get_error_parameter_test(self):
"""Test for the parameter validity of get_error()."""
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
tsOrg = TimeSeries.from_twodim_list(data)
tsCalc = TimeSeries.from_twodim_list(data)
bem = BaseErrorMeasure()
bem_calculate = bem._calculate
bem_local_error = bem.local_error
def return_zero(ignoreMe, ignoreMeToo, andMe=None, andMeToo=None):
return 0
# remove the NotImplementedErrors for initialization
bem.local_error = return_zero
bem._calculate = return_zero
bem.initialize(tsOrg, tsCalc)
bem.local_error = bem_local_error
bem._calculate = bem_calculate
try:
bem.get_error(10.0, 90.0)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
for start in [-1.0, 80.0, 103.0]:
for end in [-5.0, 10.0, 105.0]:
try:
bem.get_error(start, end)
except ValueError:
pass
else:
assert False # pragma: no cover
def get_error_parameter_test(self):
"""Test for the parameter validity of get_error()."""
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
tsOrg = TimeSeries.from_twodim_list(data)
tsCalc = TimeSeries.from_twodim_list(data)
bem = BaseErrorMeasure()
bem_calculate = bem._calculate
bem_local_error = bem.local_error
def return_zero(ignoreMe, ignoreMeToo, andMe=None, andMeToo=None):
return 0
# remove the NotImplementedErrors for initialization
bem.local_error = return_zero
bem._calculate = return_zero
bem.initialize(tsOrg, tsCalc)
bem.local_error = bem_local_error
bem._calculate = bem_calculate
try:
bem.get_error(10.0, 90.0)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
for start in [-1.0, 80.0, 103.0]:
for end in [-5.0, 10.0, 105.0]:
try:
bem.get_error(start, end)
except ValueError:
pass
else:
assert False # pragma: no cover
def number_of_comparisons_test(self):
""" Test BaseErrorMeasure.initialize for behaviour if not enough dates match."""
dataOrg = [[0,0],[1,1],[2,2],[3,3],[4,4],[5,5],[6,6],[7,7],[8,8],[9,9]]
dataCalc = [[0,0],[1,1],[2,2],[3,3],[4,4],[5.1,5],[6.1,6],[7.1,7],[8.1,8],[9.1,9]]
tsOrg = TimeSeries.from_twodim_list(dataOrg)
tsCalc = TimeSeries.from_twodim_list(dataCalc)
bem = BaseErrorMeasure(60.0)
#prevent NotImplementedError
bem.local_error = lambda a,b: 1
mse = MeanSquaredError(80.0)
# only 50% of the original TimeSeries have a corresponding partner
if mse.initialize(tsOrg, tsCalc):
assert False # pragma: no cover
if not mse.initialize(tsOrg, tsOrg):
assert False # pragma: no cover
