code: def ts_inverse_transform(
      series: TimeSeries, params: Dict[str, Any], *args, **kwargs
  ) -> TimeSeries:
      return StaticCovariatesTransformer._transform_static_covs(
          series, params["fitted"], method="inverse_transform"
      )
  
imports: from collections import OrderedDict
  from typing import Any, Dict, List, Optional, Sequence, Tuple
  import numpy
  import pandas
  from scipy.sparse import csr_matrix
  from sklearn.preprocessing import MinMaxScaler, OrdinalEncoder
  from darts.logging import get_logger, raise_log
  from darts.timeseries import TimeSeries
  from .fittable_data_transformer import FittableDataTransformer
  from .invertible_data_transformer import InvertibleDataTransformer
label_desc: Use image node_id 8 for calling the StaticCovariatesTransformer obj's underlying member method code with example usage: obj.ts_inverse_transform(series, params) and returns: StaticCovariatesTransformer