Issue for any stochastic test failures in CI so we can track them

This only failed on one OS/one python version. Not sure if this is a problem in generate_sorting_to_inject which can cause some failures. We can leave this issue open to monitor if this problem happens multiple times.

From action: https://github.com/SpikeInterface/spikeinterface/actions/runs/9898102287/job/27344129816?pr=3185

_______________________ test_generate_sorting_to_inject ________________________

    def test_generate_sorting_to_inject():
        durations = [10.0, 20.0]
        sorting = generate_sorting(num_units=10, durations=durations, sampling_frequency=30000, firing_rates=1.0)
>       injected_sorting = generate_sorting_to_inject(
            sorting, [int(duration * sorting.sampling_frequency) for duration in durations]
        )

src/spikeinterface/core/tests/test_generate.py:549: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
src/spikeinterface/core/generate.py:293: in generate_sorting_to_inject
    min_diff = np.min(np.abs(injected_spike_train[:, None] - spike_train[None, :]), axis=1)
/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/numpy/core/fromnumeric.py:2953: in min
    return _wrapreduction(a, np.minimum, 'min', axis, None, out,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([], shape=(0, 0), dtype=int64), ufunc = <ufunc 'minimum'>
method = 'min', axis = 1, dtype = None, out = None
kwargs = {'initial': <no value>, 'keepdims': <no value>, 'where': <no value>}
passkwargs = {}

    def _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs):
        passkwargs = {k: v for k, v in kwargs.items()
                      if v is not np._NoValue}
    
        if type(obj) is not mu.ndarray:
            try:
                reduction = getattr(obj, method)
            except AttributeError:
                pass
            else:
                # This branch is needed for reductions like any which don't
                # support a dtype.
                if dtype is not None:
                    return reduction(axis=axis, dtype=dtype, out=out, **passkwargs)
                else:
                    return reduction(axis=axis, out=out, **passkwargs)
    
>       return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
E       ValueError: zero-size array to reduction operation minimum which has no identity

Start with src/spikeinterface/core/tests/test_generate.py at test_generate_sorting_to_inject and the generate_sorting_to_inject entry point in src/spikeinterface/core/generate.py. Run the named test and review the linked CI failure across its OS and Python-version context. Done means determining whether the failure is reproducible or stochastic and documenting or addressing the cause so the test no longer fails unexpectedly.