docstr: Get tensor for the tests. The tensor is around (-1) or (+1), depending on
  is_positive.
docstr_tok: ["Get","tensor","for","the","tests",".","The","tensor","is","around","(","-1",")","or","(","+1",")",",","depending","on","is_positive","."]
code: def get_input(self, shape, is_positive):
      """
      Get tensor for the tests. The tensor is around (-1) or (+1), depending on
      is_positive.
      """
      if is_positive:
          offset = 1
      else:
          offset = -1
      return torch.ones(shape) * (offset) + 0.01 * torch.randn(shape)
  
file_path: MONAI/tests/test_adversarial_loss.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.losses import PatchAdversarialLoss
label_desc: Use image node_id 1 for calling the TestPatchAdversarialLoss obj's underlying member method code with example usage: obj.get_input(shape, is_positive) and returns: unknown