-module(gleam_synapses@model@net_elems@neuron@neuron_serialized).
-compile(no_auto_import).

-export([serialized/1, deserialized/1, json_encoded/1, json_decoder/0]).
-export_type([neuron_serialized/0]).

-type neuron_serialized() :: {neuron_serialized, binary(), list(float())}.

-spec serialized(gleam_synapses@model@net_elems@neuron@neuron:neuron()) -> neuron_serialized().
serialized(Neuron) ->
    {neuron_serialized,
     gleam_synapses@model@net_elems@activation@activation_serialized:serialized(
         erlang:element(2, Neuron)
     ),
     gleam_zlists:to_list(erlang:element(3, Neuron))}.

-spec deserialized(neuron_serialized()) -> gleam_synapses@model@net_elems@neuron@neuron:neuron().
deserialized(Neuron_serialized) ->
    {neuron,
     gleam_synapses@model@net_elems@activation@activation_serialized:deserialized(
         erlang:element(2, Neuron_serialized)
     ),
     gleam_zlists:of_list(erlang:element(3, Neuron_serialized))}.

-spec json_encoded(neuron_serialized()) -> gleam@json:json().
json_encoded(Neuron_serialized) ->
    gleam@json:object(
        [{<<"activationF"/utf8>>,
          gleam_synapses@model@net_elems@activation@activation_serialized:json_encoded(
              erlang:element(2, Neuron_serialized)
          )},
         {<<"weights"/utf8>>,
          gleam@json:array(
              erlang:element(3, Neuron_serialized),
              fun gleam@json:float/1
          )}]
    ).

-spec json_decoder() -> fun((gleam@dynamic:dynamic()) -> {ok,
                                                          neuron_serialized()} |
    {error, list(gleam@dynamic:decode_error())}).
json_decoder() ->
    gleam@dynamic:decode2(
        fun(A, B) -> {neuron_serialized, A, B} end,
        gleam@dynamic:field(
            <<"activationF"/utf8>>,
            gleam_synapses@model@net_elems@activation@activation_serialized:json_decoder(
                
            )
        ),
        gleam@dynamic:field(
            <<"weights"/utf8>>,
            gleam@dynamic:list(fun gleam@dynamic:float/1)
        )
    ).