Fix loading of single-input/output models (closes #461) (#463)

* Fix loading of single-input/output models (closes #461)

Keras serializes a single connection in input_layers/output_layers as
a flat ["layer", node_idx, tensor_idx], but multiple connections as a
list of such triples. The previous code used create_vector for both,
which iterated each element of the flat form and tried to parse a
string/int as an inbound node, failing with "invalid format for
inbound node" - the exact error from the README example.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Add regression test for flat input_layers/output_layers format

Newer Keras versions serialize a single input/output as a flat triple
["layer", node_idx, tensor_idx] instead of a list containing one such
triple. The existing readme_example_main test exercises a single-input
model, but only catches this when CI runs against a Keras version that
already emits the flat form. Post-process the readme example JSON into
flat form and load it from a new test so this code path is covered on
any Keras version.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Remove synthetic flat-format regression test

Drop the JSON post-processing helper and its test. Coverage will instead
come from a follow-up CI bump to a Keras version that natively emits the
flat input_layers/output_layers form, at which point the existing
readme_example_main test exercises this code path against real Keras
output.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: Dobiasd

include/fdeep/import_model.hpp

@@ -311,6 +311,16 @@ namespace internal {
         return node_connection(layer_id, node_idx, tensor_idx);
     }
 
+    inline std::vector<node_connection> create_node_connections_model_layer(const nlohmann::json& data)
+    {
+        assertion(data.is_array(), "input_layers/output_layers must be an array");
+        // Keras serializes a single connection as a flat triple ["layer", node_idx, tensor_idx],
+        // and multiple connections as a list of such triples.
+        if (!data.empty() && !data.front().is_array())
+            return { create_node_connection_model_layer(data) };
+        return create_vector<node_connection>(create_node_connection_model_layer, data);
+    }
+
     inline node_connection create_node_connection(const nlohmann::json& args)
     {
         assertion(json_obj_has_member(args["config"], "keras_history"),
@@ -369,11 +379,9 @@ namespace internal {
 
         assertion(data["config"]["input_layers"].is_array(), "no input layers");
 
-        const auto inputs = create_vector<node_connection>(
-            create_node_connection_model_layer, data["config"]["input_layers"]);
+        const auto inputs = create_node_connections_model_layer(data["config"]["input_layers"]);
 
-        const auto outputs = create_vector<node_connection>(
-            create_node_connection_model_layer, data["config"]["output_layers"]);
+        const auto outputs = create_node_connections_model_layer(data["config"]["output_layers"]);
 
         return std::make_shared<model_layer>(name, layers, inputs, outputs);
     }