def test_serialise_options_dict_correctly(self):
options_column_model = OptionsColumnModel('EventSlices=1-6,5-9,4:5:89 , WavelengthMax=78 , WavelengthMin=9')
options_column_model.set_option('MergeScale', 1.5)
options_string = options_column_model.get_options_string()
self.assertEqual(options_string, 'EventSlices=1-6,5-9,4:5:89, MergeScale=1.5,'
' WavelengthMax=78.0, WavelengthMin=9.0')
def test_serialise_options_dict_correctly(self):
options_column_model = OptionsColumnModel('EventSlices=1-6,5-9,4:5:89 , WavelengthMax=78 , WavelengthMin=9')
options_column_model.set_option('MergeScale', 1.5)
options_string = options_column_model.get_options_string()
self.assertEqual(options_string, 'EventSlices=1-6,5-9,4:5:89, MergeScale=1.5,'
' WavelengthMax=78.0, WavelengthMin=9.0')
def test_that_non_bool_option_raises_error_if_option_is_bool(self):
try:
options_column_model = OptionsColumnModel('UseMirror=SomeString')
except ValueError as e:
self.assertEqual(str(e), 'Could not evaluate SomeString as a boolean value. It should be True or False.')
else:
self.assertTrue(False, 'A RuntimeError should be raised.')
def test_that_parse_string_returns_correctly(self):
string_to_parse = 'EventSlices=1-6,5-9,4:5:89 , WavelengthMax=78 , WavelengthMin=9'
expected_dict = {'EventSlices': '1-6,5-9,4:5:89', 'WavelengthMax': '78', 'WavelengthMin': '9'}
parsed_dict = OptionsColumnModel._parse_string(string_to_parse)
self.assertEqual(parsed_dict, expected_dict)
def test_that_OptionsColumnModel_get_hint_strategy(self):
hint_strategy = OptionsColumnModel.get_hint_strategy()
expected_hint_strategy = BasicHintStrategy({
"WavelengthMin":
'The min value of the wavelength when converting from TOF.',
"WavelengthMax":
'The max value of the wavelength when converting from TOF.',
"PhiMin":
'The min angle of the detector to accept.'
' Anti-clockwise from horizontal.',
"PhiMax":
'The max angle of the detector to accept.'
' Anti-clockwise from horizontal.',
"UseMirror":
'True or False. Whether or not to accept phi angle'
' in opposing quadrant',
"MergeScale":
'The scale applied to the HAB when merging',
"MergeShift":
'The shift applied to the HAB when merging',
"EventSlices":
'The event slices to reduce.'
' The format is the same as for the event slices'
' box in settings, however if a comma separated list is given '
'it must be enclosed in quotes'
})
self.assertEqual(expected_hint_strategy, hint_strategy)
def test_that_parse_string_returns_correctly(self):
string_to_parse = 'EventSlices=1-6,5-9,4:5:89 , WavelengthMax=78 , WavelengthMin=9'
expected_dict = {'EventSlices':'1-6,5-9,4:5:89', 'WavelengthMax':'78', 'WavelengthMin':'9'}
parsed_dict = OptionsColumnModel._parse_string(string_to_parse)
self.assertEqual(parsed_dict, expected_dict)
def test_that_OptionsColumnModel_get_permissable_properties_returns_correct_properties(
self):
permissable_properties = OptionsColumnModel._get_permissible_properties(
)
self.assertEqual(permissable_properties, {
"WavelengthMin": float,
"WavelengthMax": float,
"EventSlices": str
})
def test_that_OptionsColumnModel_get_hint_strategy(self):
hint_strategy = OptionsColumnModel.get_hint_strategy()
expected_hint_strategy = BasicHintStrategy({"WavelengthMin": 'The min value of the wavelength when converting from TOF.',
"WavelengthMax": 'The max value of the wavelength when converting from TOF.',
"MergeScale": 'The scale applied to the HAB when mergeing',
"MergeShift": 'The shift applied to the HAB when mergeing',
"EventSlices": 'The event slices to reduce.'
' The format is the same as for the event slices'
' box in settings, however if a comma separated list is given '
'it must be enclosed in quotes'})
self.assertEqual(expected_hint_strategy, hint_strategy)
def test_that_OptionsColumnModel_get_hint_strategy(self):
hint_strategy = OptionsColumnModel.get_hint_strategy()
expected_hint_strategy = BasicHintStrategy({
"WavelengthMin":
'The min value of the wavelength when converting from TOF.',
"WavelengthMax":
'The max value of the wavelength when converting from TOF.',
"EventSlices":
'The event slices to reduce.'
' The format is the same as for the event slices'
' box in settings, however if a comma separated list is given '
'it must be enclosed in quotes'
})
self.assertEqual(expected_hint_strategy, hint_strategy)
def test_that_OptionsColumnModel_get_permissable_properties_returns_correct_properties(
self):
permissable_properties = OptionsColumnModel._get_permissible_properties(
)
self.assertEqual(
permissable_properties, {
"WavelengthMin": float,
"WavelengthMax": float,
"EventSlices": str,
"MergeScale": float,
"MergeShift": float,
"PhiMin": float,
"PhiMax": float,
"UseMirror": options_column_bool
})
def test_that_falsy_options_are_evaluated_False(self):
options_column_model = OptionsColumnModel('UseMirror=False')
self.assertEqual(options_column_model.get_options(), {'UseMirror': False})
options_column_model = OptionsColumnModel('UseMirror=0')
self.assertEqual(options_column_model.get_options(), {'UseMirror': False})
options_column_model = OptionsColumnModel('UseMirror=No')
self.assertEqual(options_column_model.get_options(), {'UseMirror': False})
options_column_model = OptionsColumnModel('UseMirror=F')
self.assertEqual(options_column_model.get_options(), {'UseMirror': False})
options_column_model = OptionsColumnModel('UseMirror=N')
self.assertEqual(options_column_model.get_options(), {'UseMirror': False})
options_column_model = OptionsColumnModel('UseMirror=fAlSE')
self.assertEqual(options_column_model.get_options(), {'UseMirror': False})
def test_that_truthy_options_are_evaluated_True(self):
options_column_model = OptionsColumnModel('UseMirror=True')
self.assertEqual(options_column_model.get_options(), {'UseMirror': True})
options_column_model = OptionsColumnModel('UseMirror=1')
self.assertEqual(options_column_model.get_options(), {'UseMirror': True})
options_column_model = OptionsColumnModel('UseMirror=Yes')
self.assertEqual(options_column_model.get_options(), {'UseMirror': True})
options_column_model = OptionsColumnModel('UseMirror=T')
self.assertEqual(options_column_model.get_options(), {'UseMirror': True})
options_column_model = OptionsColumnModel('UseMirror=Y')
self.assertEqual(options_column_model.get_options(), {'UseMirror': True})
options_column_model = OptionsColumnModel('UseMirror=tRuE')
self.assertEqual(options_column_model.get_options(), {'UseMirror': True})
def test_that_non_bool_option_raises_error_if_option_is_bool(self):
with self.assertRaises(ValueError):
OptionsColumnModel("UseMirror=SomeString")
def test_that_OptionsColumnModel_get_permissable_properties_returns_correct_properties(self):
permissable_properties = OptionsColumnModel._get_permissible_properties()
self.assertEqual(permissable_properties, {"WavelengthMin":float, "WavelengthMax": float, "EventSlices": str,
"MergeScale": float, "MergeShift": float})