code: def test_scalar_to_float(self) -> None:
      invalid_tensor = torch.Tensor([1, 2, 3])
      with self.assertRaises(ValueError):
          scalar_to_float(invalid_tensor)
  
      float_x = 3.45
      valid_tensor = torch.Tensor([float_x])
      self.assertAlmostEqual(scalar_to_float(valid_tensor), float_x)
  
      invalid_ndarray = np.array([23.45, 15.21])
      with self.assertRaises(ValueError):
          scalar_to_float(invalid_ndarray)
  
      valid_ndarray = np.array([[[float_x]]])
      self.assertAlmostEqual(scalar_to_float(valid_ndarray), float_x)
  
imports: import unittest
  import numpy
  import torch
  from torchtnt.utils.loggers.utils import scalar_to_float
label_desc: Use image node_id 1 for calling the TestUtilities obj's underlying member method code with example usage: obj.test_scalar_to_float() without return types