code: def show_runtime():
      """
      Print information about various resources in the system
      including available intrinsic support and BLAS/LAPACK library
      in use
  
      .. versionadded:: 1.24.0
  
      See Also
      --------
      show_config : Show libraries in the system on which NumPy was built.
  
      Notes
      -----
      1. Information is derived with the help of `threadpoolctl <https://pypi.org/project/threadpoolctl/>`_
         library if available.
      2. SIMD related information is derived from ``__cpu_features__``,
         ``__cpu_baseline__`` and ``__cpu_dispatch__``
  
      """
      from numpy._core._multiarray_umath import (
          __cpu_features__,
          __cpu_baseline__,
          __cpu_dispatch__,
      )
      from pprint import pprint
  
      config_found = [
          {
              "numpy_version": np.__version__,
              "python": sys.version,
              "uname": platform.uname(),
          }
      ]
      features_found, features_not_found = [], []
      for feature in __cpu_dispatch__:
          if __cpu_features__[feature]:
              features_found.append(feature)
          else:
              features_not_found.append(feature)
      config_found.append(
          {
              "simd_extensions": {
                  "baseline": __cpu_baseline__,
                  "found": features_found,
                  "not_found": features_not_found,
              }
          }
      )
      try:
          from threadpoolctl import threadpool_info
  
          config_found.extend(threadpool_info())
      except ImportError:
          print(
              "WARNING: `threadpoolctl` not found in system!"
              " Install it by `pip install threadpoolctl`."
              " Once installed, try `np.show_runtime` again"
              " for more detailed build information"
          )
      pprint(config_found)
  
imports: import os
  import sys
  import textwrap
  import types
  import re
  import warnings
  import functools
  import platform
  from numpy._core import ndarray
  from numpy._utils import set_module
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: show_runtime() without return types