def _py2_unicode_laundering(self):
if six.PY2:
unit_data_list = [u'1 Å', u'2 Å', u'3 Å']
cleaned_data_list = IOmodule._convert_unicode_to_str(unit_data_list)
self.assertNotIn(u'2 Å', cleaned_data_list)
self.assertIn('2 \xc3\x85', cleaned_data_list)
unit_data_nested = [[u'1 Å', u'2 Å'], [u'3 Å', u'4 Å']]
cleaned_data_nested = IOmodule._convert_unicode_to_str(unit_data_nested)
self.assertNotIn(u'3 Å', cleaned_data_nested[1])
self.assertIn('3 \xc3\x85', cleaned_data_nested[1])
unit_data_dict = {u'1 Å': 1, u'2 Å': 2,
'tens': {u'10 Å': 10, u'20 Å': 20}}
cleaned_data_dict = IOmodule._convert_unicode_to_str(unit_data_dict)
self.assertNotIn(u'2 Å', cleaned_data_dict)
self.assertNotIn(u'10 Å', cleaned_data_dict['tens'])
self.assertIn('10 \xc3\x85', cleaned_data_dict['tens'])
for item in ('x', 1, 2.34, (1, 2)):
self.assertEqual(IOmodule._convert_unicode_to_str(item), item)
self.assertIsInstance(IOmodule._convert_unicode_to_str(np.ones(5)),
np.ndarray)
def runTest(self):
self._save_stuff()
self._save_wrong_attribute()
self._save_wrong_dataset()
self.loader = IOmodule(input_filename="Cars.foo", group_name="Volksvagen")
self._wrong_filename()
self._wrong_groupname()
self._wrong_file()
self._loading_attributes()
self._loading_datasets()
self._loading_structured_datasets()
def _wrong_file(self):
poor_loader = IOmodule(input_filename="bumCars",
group_name="nice_group")
self.assertRaises(IOError,
poor_loader.load,
list_of_attributes="one_attribute")
def _save_wrong_dataset(self):
poor_saver = IOmodule(input_filename="BadCars.foo",
group_name="Volksvagen")
poor_saver.add_data("BadPassengers", 4)
self.assertRaises(ValueError, poor_saver.save)
def _save_wrong_attribute(self):
poor_saver = IOmodule(input_filename="BadCars.foo",
group_name="Volksvagen")
poor_saver.add_attribute("BadPassengers", np.array([4]))
self.assertRaises(ValueError, poor_saver.save)
def _save_stuff(self):
saver = IOmodule(input_filename="Cars.foo", group_name="Volksvagen")
# add some attributes
saver.add_attribute("Fuel", 100)
saver.add_attribute("Speed", 200)
# add some datasets
saver.add_data("Passengers", np.array([4]))
saver.add_data("FireExtinguishers", np.array([2]))
# add some mode complex data sets
wheels = [{
"Winter": False,
"Punctured": False,
"Brand": "Mercedes",
"Age": 2
}, {
"Winter": False,
"Punctured": False,
"Brand": "Mercedes",
"Age": 3
}, {
"Winter": False,
"Punctured": False,
"Brand": "Mercedes",
"Age": 5
}, {
"Winter": False,
"Punctured": True,
"Brand": "Mercedes",
"Age": 7
}]
chairs = {"AdjustableHeadrests": True, "ExtraPadding": True}
saver.add_data("wheels", wheels)
saver.add_data("chairs", chairs)
# save attributes and datasets
saver.save()
def _save_wrong_dataset(self):
poor_saver = IOmodule(input_filename="BadCars.foo", group_name="Volksvagen")
poor_saver.add_data("BadPassengers", 4)
self.assertRaises(ValueError, poor_saver.save)
def _save_wrong_attribute(self):
poor_saver = IOmodule(input_filename="BadCars.foo", group_name="Volksvagen")
poor_saver.add_attribute("BadPassengers", np.array([4]))
self.assertRaises(ValueError, poor_saver.save)
def _save_stuff(self):
saver = IOmodule(input_filename="Cars.foo", group_name="Volksvagen")
# add some attributes
saver.add_attribute("Fuel", 100)
saver.add_attribute("Speed", 200)
# add some datasets
saver.add_data("Passengers", np.array([4]))
saver.add_data("FireExtinguishers", np.array([2]))
# add some mode complex data sets
wheels = [{"Winter": False, "Punctured": False, "Brand": "Mercedes", "Age": 2},
{"Winter": False, "Punctured": False, "Brand": "Mercedes", "Age": 3},
{"Winter": False, "Punctured": False, "Brand": "Mercedes", "Age": 5},
{"Winter": False, "Punctured": True, "Brand": "Mercedes", "Age": 7}]
chairs = {"AdjustableHeadrests": True, "ExtraPadding": True}
saver.add_data("wheels", wheels)
saver.add_data("chairs", chairs)
# save attributes and datasets
saver.save()
