code: def issue_manager(self, lab, make_data, monkeypatch):
      data = make_data()
      monkeypatch.setattr(lab._labels, "labels", data["labels"])
      clustering_kwargs = {"eps": 2}
      return UnderperformingGroupIssueManager(
          datalab=lab,
          threshold=0.2,
          clustering_kwargs=clustering_kwargs,
      )
  
file_path: cleanlab/tests/datalab/issue_manager/test_underperforming_group.py
imports: import numpy
  import pytest
  import pandas
  import scipy.sparse
  from cleanlab.datalab.internal.issue_manager.underperforming_group import UnderperformingGroupIssueManager
  from sklearn.datasets import make_blobs, load_iris
label_desc: Use image node_id 4 for calling the TestUnderperformingGroupIssueManager obj's underlying member method code with example usage: obj.issue_manager(lab, make_data, monkeypatch) and returns: UnderperformingGroupIssueManager