code: def test_input_bounds_no_scaler():
      scaled_input_bounds = {
          (0, 0): (0, 5),
          (0, 1): (-2, 2),
          (0, 2): (0, 1),
      }
      unscaled_input_bounds = scaled_input_bounds
  
      net = NetworkDefinition(
          unscaled_input_bounds=unscaled_input_bounds
      )
      assert net.scaled_input_bounds == scaled_input_bounds
  
file_path: OMLT/tests/neuralnet/test_network_definition.py
imports: import numpy
  import pyomo.environ
  import pytest
  from omlt.block import OmltBlock
  from omlt.neuralnet.layer import DenseLayer, InputLayer
  from omlt.neuralnet.network_definition import NetworkDefinition
  from omlt.neuralnet.nn_formulation import FullSpaceNNFormulation
  from omlt.scaling import OffsetScaling
label_desc: Use image node_id 2 for calling a global function with example usage: test_input_bounds_no_scaler() without return types