code: def generate_signals_plus_trends(n_features=17, n_samples=41):
      signals, _, _ = generate_signals(
          n_features=n_features, length=n_samples
      )
      trends = generate_trends(n_features=n_features, length=n_samples)
      return signals + trends
  
imports: import os.path
  import numpy
  import pytest
  import scipy.signal
  from pandas import read_csv
  from nilearn import signal
  from nilearn.conftest import _rng
  from nilearn.signal import clean
label_desc: Use image node_id 3 for calling a global function with example usage: generate_signals_plus_trends(n_features, n_samples) and returns: unknown