def test__get_min_max_missing_type(self):
default_array = DefaultData.create_default_vector(2, np.float32)
variable = Variable(["y"], default_array)
variable.encoding = dict([('_FillValue', -127),
('scale_factor', 0.023)])
try:
DataUtility._get_min_max(variable)
self.fail("ValueError expected")
except ValueError:
pass
def test__get_min_max(self):
default_array = DefaultData.create_default_vector(2, np.float32)
variable = Variable(["y"], default_array)
variable.encoding = dict([('dtype', np.int8), ('_FillValue', -127),
('scale_factor', 0.023)])
min_max = DataUtility._get_min_max(variable)
self.assertEqual(-128, min_max.min)
self.assertEqual(127, min_max.max)
