code: def test_one_hot_encoding_new_category_in_test():
      """Check if One Hot Encoding can correctly predict data with new categories
      (which algorithm were not process during train stage)
      """
      cat_data = get_mixed_data(
          task=Task(TaskTypesEnum.classification), extended=True
      )
      train, test = train_test_data_setup(cat_data)
  
      # Create pipeline with encoding operation
      one_hot_node = PipelineNode("one_hot_encoding")
      final_node = PipelineNode("dt", nodes_from=[one_hot_node])
      pipeline = Pipeline(final_node)
  
      pipeline.fit(train)
      predicted = pipeline.predict(test)
  
      assert predicted is not None
  
imports: import os
  import numpy
  import pytest
  from examples.simple.classification.classification_with_tuning import get_classification_dataset
  from examples.simple.regression.regression_with_tuning import get_regression_dataset
  from examples.simple.time_series_forecasting.gapfilling import generate_synthetic_data
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_imbalanced_class import ResampleImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_transformations import ImputationImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.ts_transformations import CutImplementation, LaggedTransformationImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  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.operation_types_repository import OperationTypesRepository
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams
  from fedot.preprocessing.data_types import TYPE_TO_ID
  from test.unit.preprocessing.test_preprocessing_through_api import data_with_only_categorical_features
label_desc: Use image node_id 20 for calling a global function with example usage: test_one_hot_encoding_new_category_in_test() without return types