code: def _opt_info():
      """
      Returns a string contains the supported CPU features by the current build.
  
      The string format can be explained as follows:
          - dispatched features that are supported by the running machine
            end with `*`.
          - dispatched features that are "not" supported by the running machine
            end with `?`.
          - remained features are representing the baseline.
      """
      from numpy.core._multiarray_umath import (
          __cpu_features__,
          __cpu_baseline__,
          __cpu_dispatch__,
      )
  
      if len(__cpu_baseline__) == 0 and len(__cpu_dispatch__) == 0:
          return ""
  
      enabled_features = " ".join(__cpu_baseline__)
      for feature in __cpu_dispatch__:
          if __cpu_features__[feature]:
              enabled_features += f" {feature}*"
          else:
              enabled_features += f" {feature}?"
  
      return enabled_features
  
imports: import os
  import sys
  import textwrap
  import types
  import re
  import warnings
  import functools
  import platform
  from .._utils import set_module
  from numpy.core.numerictypes import issubclass_, issubsctype, issubdtype
  from numpy.core import ndarray, ufunc, asarray
  import numpy
label_desc: Use image node_id 18 for calling a global function with example usage: _opt_info() and returns: enabled_features, str