code: def list_default_issue_types(task: str) -> List[str]:
      """Returns a list of the issue types that are run by default
      when :py:meth:`find_issues` is called without specifying `issue_types`.
  
      See Also
      --------
      :py:class:`REGISTRY <cleanlab.datalab.internal.issue_manager_factory.REGISTRY>` : All available issue types and their corresponding issue managers can be found here.
      """
      if task == "regression":
          default_issue_types = ["label"]
      else:
          default_issue_types = [
              "null",
              "label",
              "outlier",
              "near_duplicate",
              "non_iid",
              "class_imbalance",
          ]
      return default_issue_types
  
file_path: cleanlab/cleanlab/datalab/internal/issue_manager_factory.py
imports: from __future__ import annotations
  from typing import Dict, List, Type
  from cleanlab.datalab.internal.issue_manager import ClassImbalanceIssueManager, DataValuationIssueManager, IssueManager, LabelIssueManager, NearDuplicateIssueManager, NonIIDIssueManager, ClassImbalanceIssueManager, UnderperformingGroupIssueManager, DataValuationIssueManager, OutlierIssueManager, NullIssueManager
  from cleanlab.datalab.internal.issue_manager.regression import RegressionLabelIssueManager
label_desc: Use image node_id 3 for calling a global function with example usage: list_default_issue_types(task) and returns: default_issue_types