code: def test_inverse_transform_float_positive(self):
      constraint = gpytorch.constraints.Positive()
  
      v = torch.tensor(-3.0)
  
      value = constraint.inverse_transform(constraint.transform(v))
  
      self.assertAllClose(value, v)
  
imports: import math
  import unittest
  import torch
  from torch import sigmoid
  from torch.nn.functional import softplus
  import gpytorch
  from gpytorch.test.base_test_case import BaseTestCase
label_desc: Use image node_id 3 for calling the TestPositive obj's underlying member method code with example usage: obj.test_inverse_transform_float_positive() without return types