Update Neo to 0.13.0

Hi @adavison, thanks for the MR :) From what I can see there are 2 errors:

When testing pyNN, one test fails:

=================================== FAILURES ===================================
___________________________________ test_get ___________________________________

    def test_get():
        p = MockPopulation()
        r = MockRecorder(p)
>       data = r.get('spikes')

test/unittests/test_recording.py:167: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builds/cnrs-neuroinformatics/ebrains-spack-builds/spack/opt/spack/linux-ubuntu20.04-x86_64/gcc-10.3.0/py-pynn-0.11.0-3d6bl3xzqbzzgqgucvpqeq3odfxhj2mx/lib/python3.8/site-packages/pyNN/recording/__init__.py:399: in get
    data.segments.append(self._get_current_segment(
/builds/cnrs-neuroinformatics/ebrains-spack-builds/spack/opt/spack/linux-ubuntu20.04-x86_64/gcc-10.3.0/py-neo-0.13.0-63tbsdzlz44ouptgh2xoluid4usbl3le/lib/python3.8/site-packages/neo/core/objectlist.py:86: in append
    self._handle_append(obj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = [], obj = <Mock id='139880847983760'>

    def _handle_append(self, obj):
        if not (
            isinstance(obj, self.allowed_contents)
            or (  # also allow proxy objects of the correct type
                hasattr(obj, "proxy_for") and obj.proxy_for in self.allowed_contents
            )
        ):
>           raise TypeError(f"Object is a {type(obj)}. It should be one of {self.allowed_contents}.")
E           TypeError: Object is a <class 'unittest.mock.Mock'>. It should be one of (<class 'neo.core.segment.Segment'>,).

/builds/cnrs-neuroinformatics/ebrains-spack-builds/spack/opt/spack/linux-ubuntu20.04-x86_64/gcc-10.3.0/py-neo-0.13.0-63tbsdzlz44ouptgh2xoluid4usbl3le/lib/python3.8/site-packages/neo/core/objectlist.py:34: TypeError

Also, when testing elephant, the test/test_neo_tools.py::GetAllEventsTestCase::test__get_all_events__segment test is killed - I could quickly reproduce it locally, it's killed during the extend() here. When I changed it to self.contents.extend(list(objects)) it passed, so I'm guessing sth type-related? :)

Hi @elmath

The error with PyNN is due to Neo becoming more strict. I'll fix this in a PyNN bugfix release soon.

The elephant error is due to this bug: https://github.com/NeuralEnsemble/python-neo/issues/1405 There is a work-around pull request for elephant here: https://github.com/NeuralEnsemble/elephant/pull/617

mentioned in merge request !531 (merged)

added 93 commits

• 318e80d4...efe8f75c - 92 commits from branch technical-coordination/project-internal/devops/platform:master
• b3a21d95 - Update Neo

Compare with previous version

resolved all threads

merged