fn serialize()

in src/serialize/serializer.rs [64:108]
45 lines of code
3 McCabe index (conditional complexity)

    fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
    where
        S: Serializer,
    {
        match pyobject_to_obtype(self.ptr, self.state.opts()) {
            ObType::Str => StrSerializer::new(self.ptr).serialize(serializer),
            ObType::StrSubclass => StrSubclassSerializer::new(self.ptr).serialize(serializer),
            ObType::Int => IntSerializer::new(self.ptr, self.state.opts()).serialize(serializer),
            ObType::None => NoneSerializer::new().serialize(serializer),
            ObType::Float => FloatSerializer::new(self.ptr).serialize(serializer),
            ObType::Bool => BoolSerializer::new(self.ptr).serialize(serializer),
            ObType::Datetime => DateTime::new(self.ptr, self.state.opts()).serialize(serializer),
            ObType::Date => Date::new(self.ptr).serialize(serializer),
            ObType::Time => Time::new(self.ptr, self.state.opts()).serialize(serializer),
            ObType::Uuid => UUID::new(self.ptr).serialize(serializer),
            ObType::Dict => {
                DictGenericSerializer::new(self.ptr, self.state, self.default).serialize(serializer)
            }
            ObType::List => {
                if ffi!(Py_SIZE(self.ptr)) == 0 {
                    ZeroListSerializer::new().serialize(serializer)
                } else {
                    ListTupleSerializer::from_list(self.ptr, self.state, self.default)
                        .serialize(serializer)
                }
            }
            ObType::Tuple => {
                if ffi!(Py_SIZE(self.ptr)) == 0 {
                    ZeroListSerializer::new().serialize(serializer)
                } else {
                    ListTupleSerializer::from_tuple(self.ptr, self.state, self.default)
                        .serialize(serializer)
                }
            }
            ObType::Dataclass => DataclassGenericSerializer::new(self).serialize(serializer),
            ObType::Enum => EnumSerializer::new(self).serialize(serializer),
            ObType::NumpyArray => NumpySerializer::new(self).serialize(serializer),
            ObType::NumpyScalar => {
                NumpyScalar::new(self.ptr, self.state.opts()).serialize(serializer)
            }
            ObType::Fragment => FragmentSerializer::new(self.ptr).serialize(serializer),
            ObType::PyTorchTensor => PyTorchSerializer::new(self).serialize(serializer),
            ObType::Unknown => DefaultSerializer::new(self).serialize(serializer),
        }
    }