code: def shares_memory(a, b, max_work=None):
      """
      shares_memory(a, b, max_work=None)
  
      Determine if two arrays share memory
  
      Parameters
      ----------
      a, b : ndarray
          Input arrays
      max_work : int, optional
          Effort to spend on solving the overlap problem (maximum number
          of candidate solutions to consider). The following special
          values are recognized:
  
          max_work=MAY_SHARE_EXACT  (default)
              The problem is solved exactly. In this case, the function returns
              True only if there is an element shared between the arrays.
          max_work=MAY_SHARE_BOUNDS
              Only the memory bounds of a and b are checked.
  
      Raises
      ------
      numpy.TooHardError
          Exceeded max_work.
  
      Returns
      -------
      out : bool
  
      See Also
      --------
      may_share_memory
  
      Examples
      --------
      >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
      False
  
      """
      return (a, b)
  
imports: import functools
  import sys
  import warnings
  from .None import overrides
  from .None import _multiarray_umath
  import numpy
  from numpy.core._multiarray_umath import *
  from numpy.core._multiarray_umath import _fastCopyAndTranspose, _flagdict, _insert, _reconstruct, _vec_string, _ARRAY_API, _monotonicity, _get_ndarray_c_version
label_desc: Use image node_id 18 for calling a global function with example usage: shares_memory(a, b, max_work) and returns: a,  b