code: def test_single_series_feature_collection(
      benchmark, func, n_cores, window, stride, dummy_data  # noqa: F811
  ):
      fd = FeatureDescriptor(
          function=func, series_name="EDA", window=window, stride=stride
      )
  
      fc = FeatureCollection(feature_descriptors=fd)
  
      benchmark(fc.calculate, dummy_data, n_jobs=n_cores)
  
imports: import os
  import numpy
  import pytest
  from tsflex.features.feature import FeatureDescriptor, MultipleFeatureDescriptors
  from tsflex.features.feature_collection import FeatureCollection
  from ..utils import dummy_data
label_desc: Use image node_id 1 for calling a global function with example usage: test_single_series_feature_collection(benchmark, func, n_cores, window, stride, dummy_data) without return types