def test_float_field_deserialization(self):
field = fields.Float()
assert_almost_equal(field.deserialize('12.3'), 12.3)
assert_almost_equal(field.deserialize(12.3), 12.3)
assert field.deserialize(None) == 0.0
with pytest.raises(UnmarshallingError):
field.deserialize('bad')
def test_timedelta_field_deserialization(self):
field = fields.TimeDelta()
result = field.deserialize('42')
assert isinstance(result, dt.timedelta)
assert total_seconds(result) == 42.0
result = field.deserialize('-42')
assert total_seconds(result) == -42.0
result = field.deserialize(12.3)
assert_almost_equal(total_seconds(result), 12.3)
def test_make_object(self):
class SimpleUserSchema2(Schema):
name = fields.String()
age = fields.Float()
def make_object(self, data):
return User(**data)
user_dict = {'name': 'Monty', 'age': '42.3'}
result, errors = SimpleUserSchema2().load(user_dict)
assert isinstance(result, User)
assert result.name == 'Monty'
assert_almost_equal(result.age, 42.3)
def test_deserialize_to_dict(self):
user_dict = {'name': 'Monty', 'age': '42.3'}
result, errors = SimpleUserSchema().load(user_dict)
assert result['name'] == 'Monty'
assert_almost_equal(result['age'], 42.3)
def test_float_field_deserialization(self):
field = fields.Float()
assert_almost_equal(field.deserialize('12.3'), 12.3)
assert_almost_equal(field.deserialize(12.3), 12.3)
def test_deserialize_to_dict(self):
user_dict = {'name': 'Monty', 'age': '42.3'}
result, errors = SimpleUserSchema().load(user_dict)
assert result['name'] == 'Monty'
assert_almost_equal(result['age'], 42.3)
