code: def test_correct_parameters_multi_channels(self, boundaries, freqs):
      self.assertIsInstance(
          SignalRandAddSine(boundaries, freqs), SignalRandAddSine
      )
      sig = convert_to_tensor(np.load(TEST_SIGNAL))
      sine = SignalRandAddSine(boundaries, freqs)
      sinesignal = sine(sig)
      self.assertEqual(sinesignal.shape[1], sig.shape[1])
  
file_path: MONAI/tests/test_signal_rand_add_sine.py
imports: from __future__ import annotations
  import os
  import unittest
  import numpy
  from parameterized import parameterized
  from monai.transforms import SignalRandAddSine
  from monai.utils.type_conversion import convert_to_tensor
label_desc: Use image node_id 1 for calling the TestSignalRandAddSineTorch obj's underlying member method code with example usage: obj.test_correct_parameters_multi_channels(boundaries, freqs) without return types