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)