Test failing, possibly because of changes to scipy optimize (?)

[christophmark]

See here:

=================================== FAILURES ===================================
_____________________ TestTwoParameterModel.test_optimize ______________________
self = <test_study.TestTwoParameterModel object at 0x7fa2fc813610>
    def test_optimize(self):
        # carry out fit
        S = bl.Study()
        S.loadData(np.array([1, 2, 3, 4, 5]))
        S.setOM(bl.om.Gaussian('mean', bl.cint(0, 6, 20), 'sigma', bl.oint(0, 2, 20), prior=lambda m, s: 1/s**3))
        T = bl.tm.CombinedTransitionModel(bl.tm.GaussianRandomWalk('sigma', 1.07, target='mean'),
                                          bl.tm.RegimeSwitch('log10pMin', -3.90))
        S.setTM(T)
        S.optimize()
        # test parameter distributions
>       np.testing.assert_allclose(S.getParameterDistributions('mean', density=False)[1][:, 5],
                                   [4.525547e-04, 1.677968e-03, 2.946498e-07, 1.499508e-08, 1.102637e-09],
                                   rtol=1e-05, err_msg='Erroneous posterior distribution values.')
E       AssertionError: 
E       Not equal to tolerance rtol=1e-05, atol=0
E       Erroneous posterior distribution values.
E       Mismatched elements: 5 / 5 (100%)
E       Max absolute difference: 6.48028681e-08
E       Max relative difference: 0.00072859
E        x: array([4.525729e-04, 1.677903e-03, 2.945258e-07, 1.498415e-08,
E              1.102384e-09])
E        y: array([4.525547e-04, 1.677968e-03, 2.946498e-07, 1.499508e-08,
E              1.102637e-09])
test_study.py:330: AssertionError
----------------------------- Captured stdout call -----------------------------
+ Created new study.
+ Successfully imported array.
+ Observation model: Gaussian observations. Parameter(s): ['mean', 'sigma']
+ Transition model: Combined transition model. Hyper-Parameter(s): ['sigma', 'log10pMin']
+ Starting optimization...
  --> All model parameters are optimized (except change/break-points).
    + Log10-evidence: -3.47897 - Parameter values: [ 1.07 -3.9 ]
    + Log10-evidence: -3.75097 - Parameter values: [ 2.07 -3.9 ]
    + Log10-evidence: -3.48400 - Parameter values: [ 1.07 -2.9 ]
    + Log10-evidence: -6.94856 - Parameter values: [ 0.07017134 -3.91851083]
    + Log10-evidence: -4.399[24](https://github.com/christophmark/bayesloop/runs/7068584434?check_suite_focus=true#step:5:25) - Parameter values: [ 0.57008567 -3.909[25](https://github.com/christophmark/bayesloop/runs/7068584434?check_suite_focus=true#step:5:26)542]
    + Log10-evidence: -3.52186 - Parameter values: [ 1.31999906 -3.90068388]
    + Log10-evidence: -3.47888 - Parameter values: [ 1.06965806 -4.02499953]
    + Log10-evidence: -3.59705 - Parameter values: [ 0.81965823 -4.02529235]
    + Log10-evidence: -3.49207 - Parameter values: [ 1.19465698 -4.02551875]
    + Log10-evidence: -3.48383 - Parameter values: [ 1.00715847 -4.02522561]
    + Log10-evidence: -3.47981 - Parameter values: [ 1.1009061  -4.02534994]
    + Log10-evidence: -3.47888 - Parameter values: [ 1.06948286 -4.04062355]
    + Log10-evidence: -3.48005 - Parameter values: [ 1.03823334 -4.04079793]
    + Log10-evidence: -3.47909 - Parameter values: [ 1.08510319 -4.04100528]
    + Log10-evidence: -3.47890 - Parameter values: [ 1.06167279 -4.04081835]
    + Log10-evidence: -3.47888 - Parameter values: [ 1.07332013 -4.04135437]
    + Log10-evidence: -3.47888 - Parameter values: [ 1.06911745 -4.04254219]
    + Log10-evidence: -3.47883 - Parameter values: [ 1.06570473 -4.0396313 ]
    + Log10-evidence: -3.47889 - Parameter values: [ 1.06187307 -4.03887159]
    + Log10-evidence: -3.47889 - Parameter values: [ 1.06666122 -4.03792841]
    + Log10-evidence: -3.47890 - Parameter values: [ 1.06608651 -4.04154675]
    + Log10-evidence: -3.47884 - Parameter values: [ 1.0647419  -4.03946811]
    + Log10-evidence: -3.47883 - Parameter values: [ 1.06578141 -4.04011352]
    + Log10-evidence: -3.47890 - Parameter values: [ 1.06602252 -4.04007519]
    + Log10-evidence: -3.47884 - Parameter values: [ 1.06529985 -4.0401943 ]
    + Log10-evidence: -3.47890 - Parameter values: [ 1.06602539 -4.04012232]
    + Log10-evidence: -3.47883 - Parameter values: [ 1.06568278 -4.04013005]
    + Log10-evidence: -3.47890 - Parameter values: [ 1.06578967 -4.04016284]
    + Log10-evidence: -3.47883 - Parameter values: [ 1.0657657  -4.04001477]
+ Finished optimization.
+ Started new fit:
    + Formatted data.
    + Set prior (function): <lambda>. Values have been re-normalized.
    + Finished forward pass.
    + Log10-evidence: -3.47883
    + Finished backward pass.
    + Computed mean parameter values.
----------------------------- Captured stderr call -----------------------------
  0%|          | 0/5 [00:00<?, ?it/s]
100%|██████████| 5/5 [00:00<00:00, 6[26](https://github.com/christophmark/bayesloop/runs/7068584434?check_suite_focus=true#step:5:27)0.16it/s]
  0%|          | 0/5 [00:00<?, ?it/s]
100%|██████████| 5/5 [00:00<00:00, 51[32](https://github.com/christophmark/bayesloop/runs/7068584434?check_suite_focus=true#step:5:33).[53](https://github.com/christophmark/bayesloop/runs/7068584434?check_suite_focus=true#step:5:54)it/s]
=============================== warnings summary ===============================
../../../../../../opt/hostedtoolcache/Python/3.8.12/x[64](https://github.com/christophmark/bayesloop/runs/7068584434?check_suite_focus=true#step:5:65)/lib/python3.8/site-packages/bayesloop/core.py:23
  /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/bayesloop/core.py:23: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
    from collections import OrderedDict, Iterable
../../../../../../opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/bayesloop/transitionModels.py:15
  /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/bayesloop/transitionModels.py:15: DeprecationWarning: Please use `gaussian_filter1d` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.
    from scipy.ndimage.filters import gaussian_filter1d
../../../../../../opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/bayesloop/transitionModels.py:16
  /opt/hostedtoolcache/Python/3.8.12/x64/lib/python3.8/site-packages/bayesloop/transitionModels.py:16: DeprecationWarning: Please use `shift` from the `scipy.ndimage` namespace, the `scipy.ndimage.interpolation` namespace is deprecated.
    from scipy.ndimage.interpolation import shift

[christophmark]

Fixed in https://github.com/christophmark/bayesloop/releases/tag/1.5.4