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 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