code: def test_get_item(self):
      # multi component static covariates
      static_covs = pd.DataFrame(
          [["a", 0], ["b", 1]], columns=["cat", "num"]
      )
      ts = TimeSeries.from_values(
          values=np.random.random((10, 2)), columns=["comp1", "comp2"]
      ).with_static_covariates(static_covs)
  
      assert ts.static_covariates.index.equals(ts.components)
  
      ts0 = ts[0]
      assert ts0.static_covariates.index.equals(ts.components)
      assert isinstance(ts0.static_covariates, pd.DataFrame)
      ts1 = ts["comp1"]
      assert ts1.static_covariates.index.equals(pd.Index(["comp1"]))
      assert isinstance(ts1.static_covariates, pd.DataFrame)
      ts2 = ts["comp2"]
      assert ts2.static_covariates.index.equals(pd.Index(["comp2"]))
      assert isinstance(ts2.static_covariates, pd.DataFrame)
      ts3 = ts["comp1":"comp2"]
      assert ts3.static_covariates.index.equals(
          pd.Index(["comp1", "comp2"])
      )
      assert isinstance(ts3.static_covariates, pd.DataFrame)
      ts4 = ts[["comp1", "comp2"]]
      assert ts4.static_covariates.index.equals(
          pd.Index(["comp1", "comp2"])
      )
      assert isinstance(ts4.static_covariates, pd.DataFrame)
  
      # uni/global component static covariates
      static_covs = pd.DataFrame([["a", 0]], columns=["cat", "num"])
      ts = TimeSeries.from_values(
          values=np.random.random((10, 3)),
          columns=["comp1", "comp2", "comp3"],
      ).with_static_covariates(static_covs)
  
      # 1) when static covs have 1 component but series is multivariate -> static covariate component name is set to
      # "global_components"
      assert ts.static_covariates.index.equals(
          pd.Index([DEFAULT_GLOBAL_STATIC_COV_NAME])
      )
      ts0 = ts[0]
      assert ts0.static_covariates.index.equals(
          pd.Index([DEFAULT_GLOBAL_STATIC_COV_NAME])
      )
      assert isinstance(ts0.static_covariates, pd.DataFrame)
      ts1 = ts["comp1":"comp3"]
      assert ts1.static_covariates.index.equals(
          pd.Index([DEFAULT_GLOBAL_STATIC_COV_NAME])
      )
      assert isinstance(ts1.static_covariates, pd.DataFrame)
      ts2 = ts[["comp1", "comp2", "comp3"]]
      assert ts2.static_covariates.index.equals(
          pd.Index([DEFAULT_GLOBAL_STATIC_COV_NAME])
      )
      assert isinstance(ts2.static_covariates, pd.DataFrame)
  
      # 2) if number of static cov components match the number of components in the series -> static covariate
      # component names are set to be equal to series component names
      ts3 = ts["comp1"]
      assert ts3.static_covariates.index.equals(pd.Index(["comp1"]))
      assert isinstance(ts3.static_covariates, pd.DataFrame)
      ts4 = ts["comp2"]
      assert ts4.static_covariates.index.equals(pd.Index(["comp2"]))
      assert isinstance(ts4.static_covariates, pd.DataFrame)
  
imports: import copy
  import os
  import numpy
  import pandas
  import pytest
  from darts import TimeSeries, concatenate
  from darts.dataprocessing.transformers import BoxCox, Scaler
  from darts.timeseries import DEFAULT_GLOBAL_STATIC_COV_NAME, STATIC_COV_TAG
  from darts.utils.timeseries_generation import generate_index, linear_timeseries
label_desc: Use image node_id 12 for calling the TestTimeSeriesStaticCovariate obj's underlying member method code with example usage: obj.test_get_item() without return types