def test_cftime_np_array(self):
val = np.array(
[CalendarDateTime(cftime.datetime(2012, 6, 4), '360_day')],
dtype=np.object)
result = NetCDFTimeConverter().convert(val, None, None)
self.assertEqual(result, np.array([4473.]))
def test_numeric_iterable(self):
val = [12, 18]
result = NetCDFTimeConverter().convert(val, None, None)
np.testing.assert_array_equal(result, val)
def test_cftime(self):
val = CalendarDateTime(cftime.datetime(2014, 8, 12), '365_day')
result = NetCDFTimeConverter().convert(val, None, None)
np.testing.assert_array_equal(result, 5333.)
def test_numpy_nd_array(self):
shape = (4, 2)
val = np.arange(8).reshape(shape)
result = NetCDFTimeConverter().convert(val, None, None)
np.testing.assert_array_equal(result, val)
self.assertEqual(result.shape, shape)
def test_numpy_array(self):
val = np.array([7])
result = NetCDFTimeConverter().convert(val, None, None)
np.testing.assert_array_equal(result, val)
def test_360_day_calendar_list(self):
calendar = '360_day'
unit = 'days since 2000-01-01'
val = [CalendarDateTime(cftime.datetime(2014, 8, 12), calendar)]
result = NetCDFTimeConverter().default_units(val, None)
self.assertEqual(result, (calendar, unit))
def test_non_CalendarDateTime(self):
val = cftime.datetime(1988, 5, 6)
msg = 'The values must be numbers or instances of ' \
'"nc_time_axis.CalendarDateTime".'
with assertRaisesRegex(self, ValueError, msg):
result = NetCDFTimeConverter().convert(val, None, None)
def test_non_cftime_datetime(self):
val = CalendarDateTime(4, '360_day')
msg = 'The datetime attribute of the CalendarDateTime object must ' \
'be of type `cftime.datetime`.'
with assertRaisesRegex(self, ValueError, msg):
result = NetCDFTimeConverter().convert(val, None, None)