def test_clean_measuremnt_specifications_nothing_to_clean(self):
self._present = Mock(return_value=True)
self._has_variance = Mock(return_value=True)
res = {}
res['f1'] = self._facinf['f1']['measurements']
res['f2'] = self._facinf['f2']['measurements']
msp._clean_measurement_specifications(self)
assert_equal(self.measurements, res)
def test_clean_measurement_specifications_half_of_variables_missing(self):
self._present = Mock(side_effect=cycle([True, False]))
self._has_variance = Mock(return_value=True)
res = {}
res["f1"] = [["m1", "m3"]] * 2
res["f2"] = [["m5", "m7"]] * 2
ModelSpecProcessor._clean_measurement_specifications(self)
assert_equal(self.measurements, res)
def test_clean_measurement_specifications_half_of_variables_missing(self):
self._present = Mock(side_effect=cycle([True, False]))
self._has_variance = Mock(return_value=True)
res = {}
res['f1'] = [['m1', 'm3']] * 2
res['f2'] = [['m5', 'm7']] * 2
msp._clean_measurement_specifications(self)
assert_equal(self.measurements, res)
def test_clean_measuremnt_specifications_nothing_to_clean(self):
self._present = Mock(return_value=True)
self._has_variance = Mock(return_value=True)
res = {}
res["f1"] = self._facinf["f1"]["measurements"]
res["f2"] = self._facinf["f2"]["measurements"]
ModelSpecProcessor._clean_measurement_specifications(self)
assert_equal(self.measurements, res)
