code: def hash_int32(x):
      """
      A hash function which generates random uniform (enough)
      int32 integers. Used in mean matching and initialization.
      """
      assert isinstance(x, np.ndarray)
      assert x.dtype == "int32", "x must be int32"
      x = ((x >> 16) ^ x) * 0x45D9F3B
      x = ((x >> 16) ^ x) * 0x45D9F3B
      x = (x >> 16) ^ x
      return x
  
imports: from .compat import pd_DataFrame, pd_Series, pd_read_parquet
  import numpy
  from numpy.random import RandomState
  import blosc
  import dill
  from typing import Union, List, Dict, Optional
label_desc: Use image node_id 6 for calling a global function with example usage: hash_int32(x) and returns: x