code: def create_data(time_series_length, num_ids, random_seed=42):
      np.random.seed(random_seed)
  
      df = pd.concat(
          [
              pd.DataFrame(
                  {
                      "id": [i] * time_series_length,
                      "time": range(time_series_length),
                      "value": np.random.randn(
                          time_series_length
                      ).cumsum(),
                  }
              )
              for i in range(num_ids)
          ]
      )
  
      return df
  
file_path: tsfresh/tests/benchmark.py
imports: import numpy
  import pandas
  import pytest
  from tsfresh import extract_features, extract_relevant_features
  from tsfresh.feature_extraction.settings import ComprehensiveFCParameters, MinimalFCParameters
label_desc: Use image node_id 1 for calling a global function with example usage: create_data(time_series_length, num_ids, random_seed) and returns: df