code: def test_random_shape(self, input_param, input_shape, expected_shape):
      for im_type in TEST_NDARRAYS_ALL:
          with self.subTest(im_type=im_type):
              cropper = RandScaleCrop(**input_param)
              cropper.set_random_state(seed=123)
              input_data = im_type(np.random.randint(0, 2, input_shape))
              result = cropper(input_data)
              self.assertTupleEqual(result.shape, expected_shape)
  
file_path: MONAI/tests/test_rand_scale_crop.py
imports: from __future__ import annotations
  import unittest
  import numpy
  from parameterized import parameterized
  from monai.transforms import RandScaleCrop
  from tests.croppers import CropTest
  from tests.utils import TEST_NDARRAYS_ALL, assert_allclose
label_desc: Use image node_id 3 for calling the TestRandScaleCrop obj's underlying member method code with example usage: obj.test_random_shape(input_param, input_shape, expected_shape) without return types