code: def test_invalid_input(self):
      data = np.dot(
          np.atleast_2d(90.0 - np.linspace(-80.0, 80.0, 18)).T,
          np.atleast_2d(180.0 - np.abs(np.linspace(0.0, 350.0, 9))),
      ).T
  
      with assert_raises(ValueError) as exc_info:
          lats = np.linspace(0, 170, 9) * np.pi / 180.0
          lons = np.linspace(0, 350, 18) * np.pi / 180.0
          RectSphereBivariateSpline(lats, lons, data)
      assert "u should be between (0, pi)" in str(exc_info.value)
  
      with assert_raises(ValueError) as exc_info:
          lats = np.linspace(10, 180, 9) * np.pi / 180.0
          lons = np.linspace(0, 350, 18) * np.pi / 180.0
          RectSphereBivariateSpline(lats, lons, data)
      assert "u should be between (0, pi)" in str(exc_info.value)
  
      with assert_raises(ValueError) as exc_info:
          lats = np.linspace(10, 170, 9) * np.pi / 180.0
          lons = np.linspace(-181, 10, 18) * np.pi / 180.0
          RectSphereBivariateSpline(lats, lons, data)
      assert "v[0] should be between [-pi, pi)" in str(exc_info.value)
  
      with assert_raises(ValueError) as exc_info:
          lats = np.linspace(10, 170, 9) * np.pi / 180.0
          lons = np.linspace(-10, 360, 18) * np.pi / 180.0
          RectSphereBivariateSpline(lats, lons, data)
      assert "v[-1] should be v[0] + 2pi or less" in str(exc_info.value)
  
      with assert_raises(ValueError) as exc_info:
          lats = np.linspace(10, 170, 9) * np.pi / 180.0
          lons = np.linspace(10, 350, 18) * np.pi / 180.0
          RectSphereBivariateSpline(lats, lons, data, s=-1)
      assert "s should be positive" in str(exc_info.value)
  
imports: import numpy
  from numpy.testing import assert_equal, assert_almost_equal, assert_array_equal, assert_array_almost_equal, assert_allclose, suppress_warnings
  from pytest import raises
  from numpy import array, diff, linspace, meshgrid, ones, pi, shape
  from scipy.interpolate.fitpack import bisplrep, bisplev
  from scipy.interpolate.fitpack2 import UnivariateSpline, LSQUnivariateSpline, InterpolatedUnivariateSpline, LSQBivariateSpline, SmoothBivariateSpline, RectBivariateSpline, LSQSphereBivariateSpline, SmoothSphereBivariateSpline, RectSphereBivariateSpline
label_desc: Use image node_id 5 for calling the TestRectSphereBivariateSpline obj's underlying member method code with example usage: obj.test_invalid_input() without return types