code: def test_luis_response():
      em = LUISEmulator()
      data = {
          "text": "I want italian food",
          "intent": {
              "name": "restaurant_search",
              "confidence": 0.737014589341683,
          },
          "intent_ranking": [
              {
                  "confidence": 0.737014589341683,
                  "name": "restaurant_search",
              },
              {"confidence": 0.11605464483122209, "name": "goodbye"},
              {"confidence": 0.08816417744097163, "name": "greet"},
              {"confidence": 0.058766588386123204, "name": "affirm"},
          ],
          "entities": [
              {
                  "entity": "cuisine",
                  "value": "italian",
                  "role": "roleCuisine",
                  "extractor": "SpacyEntityExtractor",
                  "start": 7,
                  "end": 14,
              }
          ],
      }
      norm = em.normalise_response_json(data)
      assert norm == {
          "query": data["text"],
          "prediction": {
              "normalizedQuery": data["text"],
              "topIntent": "restaurant_search",
              "intents": {
                  "restaurant_search": {"score": 0.737014589341683},
                  "goodbye": {"score": 0.11605464483122209},
                  "greet": {"score": 0.08816417744097163},
                  "affirm": {"score": 0.058766588386123204},
              },
              "entities": {
                  "roleCuisine": ["italian"],
                  "$instance": {
                      "roleCuisine": [
                          {
                              "role": "roleCuisine",
                              "type": "cuisine",
                              "text": "italian",
                              "startIndex": 7,
                              "length": len("italian"),
                              "score": None,
                              "modelType": "SpacyEntityExtractor",
                          }
                      ]
                  },
              },
          },
      }
  
imports: from rasa.nlu.emulators.luis import LUISEmulator
label_desc: Use image node_id 2 for calling a global function with example usage: test_luis_response() without return types