def interval_validity_test(self):
"""Test if BaseMethod handles parameter validity correctly."""
parameters = ["param1", "param2", "param3", "param4"]
b = BaseMethod(parameters)
# overwrite parameter validity dictionary for testing
b._parameterIntervals = {
"param1": [0.0, 1.0, False, False],
"param2": [0.0, 1.0, False, True],
"param3": [0.0, 1.0, True, False],
"param4": [0.0, 1.0, True, True]
}
# definetely invalid parameters
for value in [-1.5, 3.2]:
for parameter in parameters:
if b._in_valid_interval(parameter, value):
assert False # pragma: no cover
# definetly valid parameters
for value in [0.3, 0.42]:
for parameter in parameters:
if not b._in_valid_interval(parameter, value):
assert False # pragma: no cover
def interval_validity_test(self):
"""Test if BaseMethod handles parameter validity correctly."""
parameters = ["param1", "param2", "param3", "param4"]
b = BaseMethod(parameters)
# overwrite parameter validity dictionary for testing
b._parameterIntervals = {
"param1": [0.0, 1.0, False, False],
"param2": [0.0, 1.0, False, True],
"param3": [0.0, 1.0, True, False],
"param4": [0.0, 1.0, True, True]
}
# definetely invalid parameters
for value in [-1.5, 3.2]:
for parameter in parameters:
if b._in_valid_interval(parameter, value):
assert False # pragma: no cover
# definetly valid parameters
for value in [0.3, 0.42]:
for parameter in parameters:
if not b._in_valid_interval(parameter, value):
assert False # pragma: no cover
def value_error_message_test(self):
"""Test the value error message."""
parameters = ["param1", "param2", "param3", "param4"]
b = BaseMethod(parameters)
# overwrite parameter validity dictionary for testing
b._parameterIntervals = {
"param1": [0.0, 1.0, False, False],
"param2": [0.0, 1.0, False, True],
"param3": [0.0, 1.0, True, False],
"param4": [0.0, 1.0, True, True]
}
# Unknown parameters should return no message
if None != b._get_value_error_message_for_invalid_prarameter(
"unknown", 0.0):
assert False # pragma: no cover
# Known parameters should return a message
for parameter in parameters:
if not isinstance(
b._get_value_error_message_for_invalid_prarameter(
parameter, 0.4), basestring):
assert False # pragma: no cover
def parameter_set_test(self):
"""Test if the parameters of a method are set correctly."""
b = BaseMethod(["param1", "param2"])
b.set_parameter("param1", 1)
b.set_parameter("param2", 2)
b.set_parameter("param1", 1)
if not len(b._parameters) == 2: raise AssertionError
def initialization_test(self):
"""Test BaseMethod initialization."""
hasToBeSorted = random.choice([True, False])
hasToBeNormalized = random.choice([True, False])
b = BaseMethod(["param1", "param2"], hasToBeSorted=hasToBeSorted, hasToBeNormalized=hasToBeNormalized)
if not b.has_to_be_sorted() == hasToBeSorted:
raise AssertionError
if not b.has_to_be_normalized() == hasToBeNormalized:
raise AssertionError
def initialization_test(self):
"""Test BaseMethod initialization."""
hasToBeSorted = random.choice([True, False])
hasToBeNormalized = random.choice([True, False])
b = BaseMethod(["param1", "param2"],
hasToBeSorted=hasToBeSorted,
hasToBeNormalized=hasToBeNormalized)
if not b.has_to_be_sorted() == hasToBeSorted:
raise AssertionError
if not b.has_to_be_normalized() == hasToBeNormalized:
raise AssertionError
def required_parameter_test(self):
"""Test for required parameters."""
parameters = ["param1", "param2"]
b = BaseMethod(parameters)
requiredParameters = b.get_required_parameters()
for parameter in parameters:
if not parameter in requiredParameters:
raise AssertionError # pragma: no cover
assert len(parameters) == len(requiredParameters)
def required_parameter_test(self):
"""Test for required parameters."""
parameters = ["param1", "param2"]
b = BaseMethod(parameters)
requiredParameters = b.get_required_parameters()
for parameter in parameters:
if not parameter in requiredParameters:
raise AssertionError # pragma: no cover
assert len(parameters) == len(requiredParameters)
def execute_not_implemented_exception_test(self):
"""Test the correct interface of BaseMethod."""
b = BaseMethod(["param1", "param2"])
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
ts = TimeSeries.from_twodim_list(data)
ts.normalize("second")
try:
b.execute(ts)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
def execute_not_implemented_exception_test(self):
"""Test the correct interface of BaseMethod."""
b = BaseMethod(["param1", "param2"])
data = [[0.0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]]
ts = TimeSeries.from_twodim_list(data)
ts.normalize("second")
try:
b.execute(ts)
except NotImplementedError:
pass
else:
assert False # pragma: no cover
def method_completition_test(self):
"""Test if methods detect their executable state correctly."""
b = BaseMethod(["param1", "param2"])
if b.can_be_executed(): raise AssertionError
b.set_parameter("param1", 1)
if b.can_be_executed(): raise AssertionError
b.set_parameter("param2", 2)
if not b.can_be_executed(): raise AssertionError
def method_completition_test(self):
"""Test if methods detect their executable state correctly."""
b = BaseMethod(["param1", "param2"])
if b.can_be_executed(): raise AssertionError
b.set_parameter("param1", 1)
if b.can_be_executed(): raise AssertionError
b.set_parameter("param2", 2)
if not b.can_be_executed(): raise AssertionError
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 normalized_method_requirement_test(self):
"""Test for StandardError."""
def nothing(self):
return
data = [[0.0, 0.0], [1.1, 1.0], [2.0, 2.0], [5.0, 5.0]]
ts = TimeSeries.from_twodim_list(data)
mOne = BaseMethod([], hasToBeSorted=True, hasToBeNormalized=True)
mOne.execute = nothing
try:
ts.apply(mOne)
except StandardError:
pass
else:
assert False # pragma: no cover
ts.normalize("second")
ts.apply(mOne)
def normalized_method_requirement_test(self):
"""Test for StandardError."""
def nothing(self):
return
data = [[0.0, 0.0], [1.1, 1.0], [2.0, 2.0], [5.0, 5.0]]
ts = TimeSeries.from_twodim_list(data)
mOne = BaseMethod([], hasToBeSorted=True, hasToBeNormalized=True)
mOne.execute = nothing
try:
ts.apply(mOne)
except StandardError:
pass
else:
assert False # pragma: no cover
ts.normalize("second")
ts.apply(mOne)
def get_interval_test(self):
"""Test if correct intervals are returned."""
parameters = ["param1", "param2", "param3", "param4"]
b = BaseMethod(parameters)
# overwrite parameter validity dictionary for testing
parameterIntervals = {
"param1": [0.0, 1.0, False, False],
"param2": [0.0, 1.0, False, True],
"param3": [0.0, 1.0, True, False],
"param4": [0.0, 1.0, True, True]
}
b._parameterIntervals = parameterIntervals
for parameter in parameters:
i = b.get_interval(parameter)
if not i == parameterIntervals[parameter]:
raise AssertionError # pragma: no cover
assert None == b.get_interval("unknown")
def get_interval_test(self):
"""Test if correct intervals are returned."""
parameters = ["param1", "param2", "param3", "param4"]
b = BaseMethod(parameters)
# overwrite parameter validity dictionary for testing
parameterIntervals = {
"param1": [0.0, 1.0, False, False],
"param2": [0.0, 1.0, False, True],
"param3": [0.0, 1.0, True, False],
"param4": [0.0, 1.0, True, True]
}
b._parameterIntervals = parameterIntervals
for parameter in parameters:
i = b.get_interval(parameter)
if not i == parameterIntervals[parameter]:
raise AssertionError # pragma: no cover
assert None == b.get_interval("unknown")
def value_error_message_test(self):
"""Test the value error message."""
parameters = ["param1", "param2", "param3", "param4"]
b = BaseMethod(parameters)
# overwrite parameter validity dictionary for testing
b._parameterIntervals = {
"param1": [0.0, 1.0, False, False],
"param2": [0.0, 1.0, False, True],
"param3": [0.0, 1.0, True, False],
"param4": [0.0, 1.0, True, True]
}
# Unknown parameters should return no message
if None != b._get_value_error_message_for_invalid_prarameter("unknown", 0.0):
assert False # pragma: no cover
# Known parameters should return a message
for parameter in parameters:
if not isinstance(b._get_value_error_message_for_invalid_prarameter(parameter, 0.4), basestring):
assert False # pragma: no cover
def optimize_value_error_test(self):
"""Test the optimize call."""
bom = BaseOptimizationMethod(BaseErrorMeasure, precision=-3)
bm = BaseMethod()
bom.optimize(TimeSeries(), [bm])
try:
bom.optimize(TimeSeries(), [])
except ValueError:
pass
else:
assert False # pragma: no cover
def parameter_set_test(self):
"""Test if the parameters of a method are set correctly."""
b = BaseMethod(["param1", "param2"])
b.set_parameter("param1", 1)
b.set_parameter("param2", 2)
b.set_parameter("param1", 1)
if not len(b._parameters) == 2: raise AssertionError
def parameter_get_test(self):
"""Test the parameter set function."""
b = BaseMethod()
b.set_parameter("param1", 42.23)
param1 = b.get_parameter("param1")
assert param1 == 42.23
try:
b.get_parameter("param2")
except KeyError:
pass
else:
assert False # pragma: no cover
def parameter_get_test(self):
"""Test the parameter set function."""
b = BaseMethod()
b.set_parameter("param1", 42.23)
param1 = b.get_parameter("param1")
assert param1 == 42.23
try:
b.get_parameter("param2")
except KeyError:
pass
else:
assert False # pragma: no cover
