old_contents: import pytest
  from pml.units import UcPoly, UcPchip
  import numpy as np
  
  
  def test_identity_conversion():
      id_conversion = UcPoly([1, 0])
      physics_value = id_conversion.machine_to_physics(4)
      machine_value = id_conversion.physics_to_machine(4)
      assert machine_value == 4
      assert physics_value == 4
  
  
  def test_linear_conversion():
      linear_conversion = UcPoly([2, 3])
      physics_value = linear_conversion.machine_to_physics(4)
      machine_value = linear_conversion.physics_to_machine(5)
      assert physics_value == 11
      assert machine_value == 1
  
  
  def test_quadratic_conversion():
      quadratic_conversion = UcPoly([1, 2, 3])
      physics_value = quadratic_conversion.machine_to_physics(4)
      assert physics_value == 27
      with pytest.raises(ValueError):
          quadratic_conversion.physics_to_machine(2.5)
  
  
  def test_ppconversion_to_physics_2_points():
      pchip_uc = UcPchip([1, 3], [1, 3])
      assert pchip_uc.machine_to_physics(1) == 1
      assert pchip_uc.machine_to_physics(2) == 2
      assert pchip_uc.machine_to_physics(3) == 3
  
  
  def test_pp_conversion_to_physics_3_points():
      pchip_uc = UcPchip([1, 3, 5], [1, 3, 6])
      assert pchip_uc.machine_to_physics(1) == 1
      assert np.round(pchip_uc.machine_to_physics(2), 4) == 1.8875
      assert pchip_uc.machine_to_physics(3) == 3
      assert np.round(pchip_uc.machine_to_physics(4), 4) == 4.3625
      assert pchip_uc.machine_to_physics(5) == 6
  
  
  def test_pp_conversion_to_machine_2_points():
      pchip_uc = UcPchip([1, 3], [1, 3])
      assert pchip_uc.physics_to_machine(1) == 1
      assert pchip_uc.physics_to_machine(1.5) == 1.5
  
  def test_pp_not_monotonically_increasing_error():
      with pytest.raises(ValueError):
          UcPchip([1, 2, 3], [1, 3, 2])
  
      with pytest.raises(ValueError):
          UcPchip([-1, -2, -3], [-1, -2, -3])
  
new_contents: import pytest
  from pml.units import UcPoly, UcPchip
  import numpy as np
  
  
  def test_identity_conversion():
      id_conversion = UcPoly([1, 0])
      physics_value = id_conversion.machine_to_physics(4)
      machine_value = id_conversion.physics_to_machine(4)
      assert machine_value == 4
      assert physics_value == 4
  
  
  def test_linear_conversion():
      linear_conversion = UcPoly([2, 3])
      physics_value = linear_conversion.machine_to_physics(4)
      machine_value = linear_conversion.physics_to_machine(5)
      assert physics_value == 11
      assert machine_value == 1
  
  
  def test_quadratic_conversion():
      quadratic_conversion = UcPoly([1, 2, 3])
      physics_value = quadratic_conversion.machine_to_physics(4)
      assert physics_value == 27
      with pytest.raises(ValueError):
          quadratic_conversion.physics_to_machine(2.5)
  
  
  def test_ppconversion_to_physics_2_points():
      pchip_uc = UcPchip([1, 3], [1, 3])
      assert pchip_uc.machine_to_physics(1) == 1
      assert pchip_uc.machine_to_physics(2) == 2
      assert pchip_uc.machine_to_physics(3) == 3
  
  
  def test_pp_conversion_to_physics_3_points():
      pchip_uc = UcPchip([1, 3, 5], [1, 3, 6])
      assert pchip_uc.machine_to_physics(1) == 1
      assert np.round(pchip_uc.machine_to_physics(2), 4) == 1.8875
      assert pchip_uc.machine_to_physics(3) == 3
      assert np.round(pchip_uc.machine_to_physics(4), 4) == 4.3625
      assert pchip_uc.machine_to_physics(5) == 6
  
  
  def test_pp_conversion_to_machine_2_points():
      pchip_uc = UcPchip([1, 3], [1, 3])
      assert pchip_uc.physics_to_machine(1) == 1
      assert pchip_uc.physics_to_machine(1.5) == 1.5
  
  def test_pp_not_monotonely_increasing_error():
      with pytest.raises(ValueError):
          UcPchip([1, 2, 3], [1, 3, 2])
  
      with pytest.raises(ValueError):
          UcPchip([-1, -2, -3], [-1, -2, -3])
  
subject: Revert "Resolve type in test case"