code: def runTest(self):
      light_pipeline = LightPipeline(
          self.pipeline.model, parse_embeddings=True
      )
      result = light_pipeline.annotate("Hello from John Snow Labs ! ")
  
      self.assertTrue(len(result["embeddings"]) > 0)
  
      full_result = light_pipeline.fullAnnotate(
          "Hello from John Snow Labs ! "
      )[0]
      self.assertTrue(len(full_result["embeddings"]) > 0)
  
imports: import os
  import unittest
  import pytest
  from pyspark.sql.functions import col
  from sparknlp.pretrained import PretrainedPipeline
  from test.util import SparkSessionForTest, SparkContextForTest
  from sparknlp.annotator import *
  from sparknlp.base import *
label_desc: Use image node_id 2 for calling the LightPipelineWithEmbeddings obj's underlying member method code with example usage: obj.runTest() without return types