code: def test_randint():
      dtypes = ["int32", "int64"]
      for dtype in dtypes:
          params = {
              "low": -1,
              "high": 3,
              "shape": (500, 500),
              "dtype": dtype,
              "ctx": mx.context.current_context(),
          }
          mx.random.seed(128)
          ret1 = mx.nd.random.randint(**params).asnumpy()
          mx.random.seed(128)
          ret2 = mx.nd.random.randint(**params).asnumpy()
          assert same(
              ret1, ret2
          ), "ndarray test: `%s` should give the same result with the same seed"
  
imports: import os
  import math
  import itertools
  import mxnet
  from mxnet.test_utils import verify_generator, gen_buckets_probs_with_ppf, assert_almost_equal
  import numpy
  import random
  from common import retry, random_seed
  import scipy.stats
  import unittest
  import pytest
  from mxnet.test_utils import *
  from mxnet.base import MXNetError
  from common import assertRaises
label_desc: Use image node_id 26 for calling a global function with example usage: test_randint() without return types