code: def homogeneous_representation_test_data():
      rotation = gs.ones((2, 2)) * 2
      translation = gs.ones((2,)) * 3
      constant = 1.0
      expected = gs.array(
          [[2.0, 2.0, 3.0], [2.0, 2.0, 3.0], [0.0, 0.0, 1.0]]
      )
  
      data = [[rotation, translation, constant, expected]]
  
      return data
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from .base import LevelSetTestData
  from .invariant_metric import InvariantMetricMatrixTestData
  from .lie_group import LieGroupTestData, MatrixLieGroupTestData
  from .mixins import ProjectionMixinsTestData
label_desc: Use image node_id 3 for calling a global function with example usage: homogeneous_representation_test_data() and returns: data