code: def filter_errors(errors, method, Estimator=None):
      """
      Ignore some errors based on the method type.
  
      These rules are specific for scikit-learn."""
      for code, message in errors:
          # We ignore following error code,
          #  - RT02: The first line of the Returns section
          #    should contain only the type, ..
          #   (as we may need refer to the name of the returned
          #    object)
          #  - GL01: Docstring text (summary) should start in the line
          #    immediately after the opening quotes (not in the same line,
          #    or leaving a blank line in between)
          #  - GL02: If there's a blank line, it should be before the
          #    first line of the Returns section, not after (it allows to have
          #    short docstrings for properties).
  
          if code in ["RT02", "GL01", "GL02"]:
              continue
  
          # Ignore PR02: Unknown parameters for properties. We sometimes use
          # properties for ducktyping, i.e. SGDClassifier.predict_proba
          if (
              code == "PR02"
              and Estimator is not None
              and method is not None
          ):
              method_obj = getattr(Estimator, method)
              if isinstance(method_obj, property):
                  continue
  
          # Following codes are only taken into account for the
          # top level class docstrings:
          #  - ES01: No extended summary found
          #  - SA01: See Also section not found
          #  - EX01: No examples section found
  
          if method is not None and code in ["EX01", "SA01", "ES01"]:
              continue
          yield code, message
  
file_path: imbalanced-learn/maint_tools/test_docstring.py
imports: import importlib
  import inspect
  import pkgutil
  import re
  from inspect import signature
  from typing import Optional
  import pytest
  import imblearn
  from imblearn.utils.testing import all_estimators
label_desc: Use image node_id 4 for calling a global function with example usage: filter_errors(errors, method, Estimator) without return types