def test_init_empty(self):
model = Temperature()
py_json = model.py_json()
# should only have a unit_type
assert py_json == {}
# non-sparse should have all attributes present with None values
py_json = model.py_json(sparse=False)
assert py_json['unit_type'] == 'temperature'
for attr in ('value', 'unit', 'min_value', 'max_value',
'standard_deviation', 'replicates'):
assert py_json[attr] is None
def test_py_json(self):
model = Temperature(value=273.15,
unit="K",
standard_deviation=1.2,
replicates=3)
py_json = model.py_json()
print(py_json)
assert len(py_json) == 5
assert py_json['value'] == 273.15
assert py_json['unit'] == 'K'
assert py_json['unit_type'] == 'temperature'
assert py_json['standard_deviation'] == 1.2
assert py_json['replicates'] == 3