code: def ctypes2numpy_shared(cptr, shape):
      """Convert a ctypes pointer to a numpy array.
  
      The resulting NumPy array shares the memory with the pointer.
  
      Parameters
      ----------
      cptr : ctypes.POINTER(mx_float)
          pointer to the memory region
  
      shape : tuple
          Shape of target `NDArray`.
  
      Returns
      -------
      out : numpy_array
          A numpy array : numpy array.
      """
      if not isinstance(cptr, ctypes.POINTER(mx_float)):
          raise RuntimeError("expected float pointer")
      size = 1
      for s in shape:
          size *= s
      dbuffer = (mx_float * size).from_address(
          ctypes.addressof(cptr.contents)
      )
      return _np.frombuffer(dbuffer, dtype=_np.float32).reshape(shape)
  
imports: import re
  import atexit
  import ctypes
  import os
  import sys
  import inspect
  import platform
  import numpy
  from .None import libinfo
label_desc: Use image node_id 16 for calling a global function with example usage: ctypes2numpy_shared(cptr, shape) and returns: _np