parameters: (ranked_memref)
return_statement: return strided_arr
docstring: Converts ranked memrefs to numpy arrays.
docstring_summary: Converts ranked memrefs to numpy arrays.
docstring_tokens: Converts ranked memrefs to numpy arrays .
function: def ranked_memref_to_numpy(ranked_memref):
      """
      Converts ranked memrefs to numpy arrays.
      """
      np_arr = np.ctypeslib.as_array(
          ranked_memref[0].aligned, shape=ranked_memref[0].shape
      )
      strided_arr = np.lib.stride_tricks.as_strided(
          np_arr,
          np.ctypeslib.as_array(ranked_memref[0].shape),
          np.ctypeslib.as_array(ranked_memref[0].strides) * np_arr.itemsize,
      )
      return strided_arr
function_tokens: def ranked_memref_to_numpy ( ranked_memref ) : np_arr = np . ctypeslib . as_array ( ranked_memref [ 0 ] . aligned , shape = ranked_memref [ 0 ] . shape ) strided_arr = np . lib . stride_tricks . as_strided ( np_arr , np . ctypeslib . as_array ( ranked_memref [ 0 ] . shape ) , np . ctypeslib . as_array ( ranked_memref [ 0 ] . strides ) * np_arr . itemsize , ) return strided_arr