docstr: Verify that exceptions are raised on input values
docstr_tok: ["Verify","that","exceptions","are","raised","on","input","values"]
code: def test_seed_range(self) -> None:
      """
      Verify that exceptions are raised on input values
      """
      with self.assertRaises(
          ValueError, msg="Invalid seed value provided"
      ):
          seed(-1)
  
      invalid_max = np.iinfo(np.uint64).max
      with self.assertRaises(
          ValueError, msg="Invalid seed value provided"
      ):
          seed(invalid_max)
  
      # should not raise any exceptions
      seed(42)
  
imports: import os
  import unittest
  import numpy
  import torch
  import torch.distributed.launcher
  from torchtnt.utils.device import get_device_from_env
  from torchtnt.utils.distributed import get_process_group_backend_from_device
  from torchtnt.utils.env import init_from_env, seed
  from torchtnt.utils.test_utils import get_pet_launch_config
label_desc: Use image node_id 6 for calling the EnvTest obj's underlying member method code with example usage: obj.test_seed_range() without return types