code: def test_fbeta_weighted_random_score_none(
      avg_val, beta, sample_weights, result
  ):
      preds = [
          [0.9, 0.1, 0],
          [0.2, 0.6, 0.2],
          [0, 0, 1],
          [0.4, 0.3, 0.3],
          [0, 0.9, 0.1],
          [0, 0, 1],
      ]
      actuals = [
          [1, 0, 0],
          [0, 1, 0],
          [0, 0, 1],
          [1, 0, 0],
          [1, 0, 0],
          [0, 0, 1],
      ]
      _test_fbeta_score(
          actuals, preds, sample_weights, avg_val, beta, result, None
      )
  
file_path: rasa/tests/utils/tensorflow/test_metrics.py
imports: import numpy
  import pytest
  import tensorflow
  from rasa.utils.tensorflow.metrics import FBetaScore, F1Score
label_desc: Use image node_id 8 for calling a global function with example usage: test_fbeta_weighted_random_score_none(avg_val, beta, sample_weights, result) without return types