code: def assert_valid_rocauc_scores(visualizer, nscores=4):
      """
      Assertion helper to ensure scores are correctly computed
      """
      __tracebackhide__ = True
      assert len(visualizer.fpr.keys()) == nscores
      assert len(visualizer.tpr.keys()) == nscores
      assert len(visualizer.roc_auc.keys()) == nscores
  
      for k in (0, 1, "micro", "macro"):
          assert k in visualizer.fpr
          assert k in visualizer.tpr
          assert k in visualizer.roc_auc
          assert len(visualizer.fpr[k]) == len(visualizer.tpr[k])
          assert 0.0 < visualizer.roc_auc[k] < 1.0
  
imports: import pytest
  import numpy
  import numpy.testing
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from yellowbrick.classifier.rocauc import *
  from yellowbrick.exceptions import ModelError
  from yellowbrick.datasets import load_occupancy
  from sklearn.svm import LinearSVC, SVC
  from sklearn.naive_bayes import GaussianNB
  from sklearn.linear_model import LogisticRegression
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
  from sklearn.preprocessing import MinMaxScaler
  from sklearn.pipeline import Pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: assert_valid_rocauc_scores(visualizer, nscores) without return types