code: def get_available_operations():
      """Function returns available operations for primary and secondary nodes"""
      primary_operations = [
          "lagged",
          "smoothing",
          "diff_filter",
          "gaussian_filter",
      ]
      secondary_operations = ["lagged", "ridge", "lasso", "linear"]
      return primary_operations, secondary_operations
  
file_path: FEDOT/examples/advanced/time_series_forecasting/multi_ts_arctic_forecasting.py
imports: import datetime
  from copy import deepcopy
  import numpy
  from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
  from golem.core.optimisers.genetic.operators.mutation import MutationTypesEnum
  from golem.core.tuning.simultaneous import SimultaneousTuner
  from fedot.core.pipelines.pipeline_composer_requirements import PipelineComposerRequirements
  from matplotlib import pyplot
  from sklearn.metrics import mean_squared_error, mean_absolute_error
  from cases.multi_ts_level_forecasting import prepare_data
  from examples.simple.time_series_forecasting.ts_pipelines import ts_complex_ridge_smoothing_pipeline
  from fedot.core.composer.composer_builder import ComposerBuilder
  from fedot.core.composer.gp_composer.specific_operators import parameter_change_mutation
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.metrics_repository import RegressionMetricsEnum
label_desc: Use image node_id 2 for calling a global function with example usage: get_available_operations() and returns: primary_operations,  secondary_operations