code: def test_single_type_scaler(self):
      transformer_cont = StaticCovariatesTransformer()
      series_cont = self.series1.with_static_covariates(
          self.series1.static_covariates[["cont1", "cont2"]]
      )
      test_cont = np.array([[0.0, 0.0], [0.5, 0.5], [1.0, 1.0]])
      self.helper_test_scaling(series_cont, transformer_cont, test_cont)
  
      transformer_cat = StaticCovariatesTransformer()
      series_cat = self.series1.with_static_covariates(
          self.series1.static_covariates[["cat1", "cat2"]]
      )
      test_cat = np.array([[0.0, 0.0], [1.0, 1.0], [2.0, 2.0]])
      self.helper_test_scaling(series_cat, transformer_cat, test_cat)
  
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 2 for calling the TestStaticCovariatesTransformer obj's underlying member method code with example usage: obj.test_single_type_scaler() without return types