code: def helper_test_scaling(self, series, scaler, test_values):
      series_tr = scaler.fit_transform(series)
      assert all(
          [
              a == b
              for a, b in zip(
                  series_tr.static_covariates_values().flatten(),
                  test_values.flatten(),
              )
          ]
      )
  
      series_recovered = scaler.inverse_transform(series_tr)
      assert series.static_covariates.equals(
          series_recovered.static_covariates
      )
  
file_path: darts/darts/tests/dataprocessing/transformers/test_static_covariates_transformer.py
imports: import numpy
  import pandas
  import pytest
  from sklearn.preprocessing import MinMaxScaler, OneHotEncoder
  from darts import TimeSeries
  from darts.dataprocessing.transformers import StaticCovariatesTransformer
  from darts.utils import timeseries_generation
label_desc: Use image node_id 6 for calling the TestStaticCovariatesTransformer obj's underlying member method code with example usage: obj.helper_test_scaling(series, scaler, test_values) without return types