code: def test_hyb(r, target, observed, expected_repr):
      r.initialize_from_array(np.array([]), mx.context.cpu())
      target_transf, _, _ = r(target, observed, None, [])
  
      for i in range(len(expected_repr)):
          exp_loc = expected_repr[i].asnumpy()
          target_loc = target_transf[:, :, i].asnumpy()
          print(target_loc)
          assert np.allclose(
              exp_loc, target_loc
          ), f"Representation mismatch. Expected: {exp_loc} VS Actual: {target_loc}."
  
imports: import mxnet
  import numpy
  import pytest
  from gluonts.mx.representation import CustomBinning, DimExpansion, HybridRepresentation, LocalAbsoluteBinning, RepresentationChain
label_desc: Use image node_id 1 for calling a global function with example usage: test_hyb(r, target, observed, expected_repr) without return types