code: def frobenius_product_test_data(self):
      smoke_data = [
          dict(
              mat_1=gs.array(
                  [[[1.0, -2.0], [1.0, 4.0]], [[1.0, 2.0], [0.0, -3.0]]]
              ),
              mat_2=gs.array(
                  [[[0.0, 4.0], [2.0, 4.0]], [[1.0, -1.0], [5.0, 4.0]]]
              ),
              expected=gs.array([10.0, -13.0]),
          ),
          dict(
              mat_1=gs.array([[5.0, 8.0], [2.0, 2.0]]),
              mat_2=gs.array([[0.0, 0.25], [0.5, 2.0]]),
              expected=gs.array(7.0),
          ),
      ]
      return self.generate_tests(smoke_data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import MatrixVectorSpaceTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 4 for calling the MatrixOperationsSmokeTestData obj's underlying member method code with example usage: obj.frobenius_product_test_data() and returns: self