Source: tomopy Version: 1.15.0+ds1-4 Severity: normal tomopy is failing tests with scipy 1.14 from experimental, evidently due to deprecation of interp2d
https://ci.debian.net/packages/t/tomopy/unstable/amd64/51870629/ 200s _________________ StripeRemovalTestCase.test_remove_all_stripe _________________ 200s 200s self = <test_tomopy.test_prep.test_stripe.StripeRemovalTestCase testMethod=test_remove_all_stripe> 200s 200s def test_remove_all_stripe(self): 200s mat = np.random.rand(self.size, self.size) 200s lis_off = np.linspace(0, 1, self.size) 200s mat_off = np.tile(lis_off, (self.size, 1)) 200s mat[:, self.b:self.e] = 6.0 200s > mat_corr = srm.remove_all_stripe( 200s np.expand_dims(mat, 1), 1.5, 5, 3)[:, 0, :] 200s 200s test/test_tomopy/test_prep/test_stripe.py:135: 200s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 200s /usr/lib/python3/dist-packages/tomopy/prep/stripe.py:877: in remove_all_stripe 200s arr = mproc.distribute_jobs(tomo, 200s /usr/lib/python3/dist-packages/tomopy/util/mproc.py:329: in distribute_jobs 200s _arg_parser(m) 200s /usr/lib/python3/dist-packages/tomopy/util/mproc.py:383: in _arg_parser 200s result = func(*func_args, **kwargs) 200s /usr/lib/python3/dist-packages/tomopy/prep/stripe.py:890: in _remove_all_stripe 200s sino = _rs_dead(sino, snr, la_size, matindex) 200s /usr/lib/python3/dist-packages/tomopy/prep/stripe.py:826: in _rs_dead 200s finter = interpolate.interp2d(listx, listy, matz, kind='linear') 200s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 200s 200s self = <scipy.interpolate._interpolate.interp2d object at 0x7f8ebc257440> 200s x = array([ 0, 1, 2, 3, 4, 5, 6, 10, 11, 12, 16, 17, 18, 19, 20, 21, 22, 200s 23, 24, 25, 26, 27, 28, 32, 33, 34, 35, 36, 37, 38, 39, 43, 44, 45, 200s 46, 47, 48, 49, 50, 51, 52, 53, 54, 60, 61, 62, 63]) 200s y = array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 200s 17, 18, 19, 20, 21, 22, 23, 24, 25, ...36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 200s 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]) 200s z = array([[0.58459985, 0.39958706, 0.79842966, ..., 0.20840328, 0.2114965 , 200s 0.83641935], 200s [0.61540678, 0.61...08, 200s 0.57549454], 200s [0.05776019, 0.83921768, 0.88255173, ..., 0.14722156, 0.36112475, 200s 0.12312066]]) 200s kind = 'linear', copy = True, bounds_error = False, fill_value = None 200s 200s def __init__(self, x, y, z, kind='linear', copy=True, bounds_error=False, 200s fill_value=None): 200s > raise NotImplementedError(err_mesg) 200s E NotImplementedError: `interp2d` has been removed in SciPy 1.14.0. 200s E 200s E For legacy code, nearly bug-for-bug compatible replacements are 200s E `RectBivariateSpline` on regular grids, and `bisplrep`/`bisplev` for 200s E scattered 2D data. 200s E 200s E In new code, for regular grids use `RegularGridInterpolator` instead. 200s E For scattered data, prefer `LinearNDInterpolator` or 200s E `CloughTocher2DInterpolator`. 200s E 200s E For more details see 200s E https://scipy.github.io/devdocs/tutorial/interpolate/interp_transition_guide.html 200s 200s /usr/lib/python3/dist-packages/scipy/interpolate/_interpolate.py:129: NotImplementedError ... 200s FAILED test/test_tomopy/test_prep/test_stripe.py::StripeRemovalTestCase::test_remove_all_stripe 200s FAILED test/test_tomopy/test_prep/test_stripe.py::StripeRemovalTestCase::test_remove_dead_stripe 200s FAILED test/test_tomopy/test_prep/test_stripe.py::StripeRemovalTestCase::test_remove_stripe_based_interpolation 200s ============ 3 failed, 58 passed, 7 skipped, 147 warnings in 20.39s ============ We've only just recently updated to scipy 1.13, but nevertheless we'll want to update further to scipy 1.14 before long.
