code: def test_roc_auc_multiclass_correct():
      data = InputData(
          features=np.array([[1, 2], [2, 3], [3, 4], [4, 1]]),
          target=np.array([["x"], ["y"], ["z"], ["x"]]),
          idx=np.arange(4),
          task=Task(TaskTypesEnum.classification),
          data_type=DataTypesEnum.table,
      )
      prediction = OutputData(
          features=np.array([[1, 2], [2, 3], [3, 4], [4, 1]]),
          predict=np.array(
              [
                  [0.4, 0.3, 0.3],
                  [0.2, 0.5, 0.3],
                  [0.1, 0.2, 0.7],
                  [0.8, 0.1, 0.1],
              ]
          ),
          idx=np.arange(4),
          task=Task(TaskTypesEnum.classification),
          data_type=DataTypesEnum.table,
      )
      for i in range(data.num_classes):
          fpr, tpr, threshold = ROCAUC.roc_curve(
              data.target,
              prediction.predict[:, i],
              pos_label=data.class_labels[i],
          )
          roc_auc = ROCAUC.auc(fpr, tpr)
          assert roc_auc
  
imports: import json
  import sys
  from itertools import product
  from typing import Callable, Dict, Tuple, Union
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import load_breast_cancer, load_diabetes, load_linnerud, load_wine
  from fedot.core.composer.metrics import QualityMetric, ROCAUC
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum, ComplexityMetricsEnum, MetricsRepository, RegressionMetricsEnum, TimeSeriesForecastingMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams
  from fedot.core.utils import fedot_project_root, set_random_seed
label_desc: Use image node_id 10 for calling a global function with example usage: test_roc_auc_multiclass_correct() without return types