code: def test_node_return_correct_operation_info():
      node = PipelineNode("simple_imputation")
      operation_tags = node.tags
  
      correct_tags = ["simple", "imputation"]
      assert all(
          correct_tag in operation_tags for correct_tag in correct_tags
      )
  
imports: import numpy
  import pytest
  from golem.core.dag.linked_graph_node import LinkedGraphNode
  from sklearn.datasets import load_iris
  from sklearn.linear_model import LogisticRegression
  from sklearn.metrics import accuracy_score, classification_report
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.operations.model import Model
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import DEFAULT_PARAMS_STUB, NESTED_PARAMS_LABEL
label_desc: Use image node_id 8 for calling a global function with example usage: test_node_return_correct_operation_info() without return types