Mock AutogrowDynamic type

comfy_extras/nodes_v3_test.py

@@ -149,7 +149,37 @@ class V3LoraLoader(io.ComfyNodeV3):
         return io.NodeOutput(model_lora, clip_lora)
 
 
+class NInputsTest(io.ComfyNodeV3):
+    @classmethod
+    def DEFINE_SCHEMA(cls):
+        return io.SchemaV3(
+            node_id="V3_NInputsTest",
+            display_name="V3 N Inputs Test",
+            inputs=[
+                io.AutogrowDynamic.Input("nmock", template_input=io.Image.Input("image"), min=1, max=3),
+                io.AutogrowDynamic.Input("nmock2", template_input=io.Int.Input("int"), optional=True, min=1, max=4),
+            ],
+            outputs=[
+                io.Image.Output("image_out"),
+            ],
+        )
+    
+    @classmethod
+    def execute(cls, nmock, nmock2):
+        first_image = nmock[0]
+        all_images = []
+        for img in nmock:
+            if img.shape != first_image.shape:
+                img = img.movedim(-1,1)
+                img = comfy.utils.common_upscale(img, first_image.shape[2], first_image.shape[1], "lanczos", "center")
+                img = img.movedim(1,-1)
+            all_images.append(img)
+        combined_image = torch.cat(all_images, dim=0)
+        return io.NodeOutput(combined_image)
+
+
 NODES_LIST: list[type[io.ComfyNodeV3]] = [
     V3TestNode,
     V3LoraLoader,
+    NInputsTest,
 ]