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CI failing after new release of neo #12413

@drammock

Description

@drammock

Description of the problem

failing neuralynx test seen on pip-pre job of #12411: https://github.com/mne-tools/mne-python/actions/runs/7759461839/job/21163563326?pr=12411

cc @KristijanArmeni

Steps to reproduce

I can locally reproduce by doing `pip install -U neo` to get neo v0.13, and then running `pytest mne/io/neuralynx/tests/test_neuralynx.py -k nx_gaps`

Link to data

No response

Expected results

test passes

Actual results

test fails with

FAILED mne/io/neuralynx/tests/test_neuralynx.py::test_neuralynx_gaps - TypeError: Object is a <class 'mne.io.neuralynx.neuralynx.AnalogSignalGap'>. It should be one of (<class 'neo.core.analogsignal.AnalogSignal'>,).

Additional information

Platform             Linux-5.15.0-58-generic-x86_64-with-glibc2.35
Python               3.11.7 | packaged by conda-forge | (main, Dec 23 2023, 14:43:09) [GCC 12.3.0]
Executable           /opt/mambaforge/envs/mnedev/bin/python3.11
CPU                  x86_64 (16 cores)
Memory               125.7 GB

Core
├☑ mne               1.7.0.dev76+g52a905928 (devel, latest release is 1.6.1)
├☑ numpy             1.26.3 (OpenBLAS 0.3.23.dev with 16 threads)
├☑ scipy             1.11.4
├☑ matplotlib        3.8.2 (backend=QtAgg)
├☑ pooch             1.8.0
└☑ jinja2            3.1.3

Numerical (optional)
├☑ sklearn           1.3.2
├☑ numba             0.58.1
├☑ nibabel           5.2.0
├☑ nilearn           0.10.2
├☑ dipy              1.8.0
├☑ openmeeg          2.5.7
├☑ cupy              12.3.0
└☑ pandas            2.1.4

Visualization (optional)
├☑ pyvista           0.43.2 (OpenGL 4.3 (Core Profile) Mesa 23.0.4-0ubuntu1~22.04.1 via NV166)
├☑ pyvistaqt         0.11.0
├☑ vtk               9.3.0
├☑ qtpy              2.4.1 (PyQt6=6.6.0)
├☑ ipympl            0.9.3
├☑ pyqtgraph         0.13.3
├☑ mne-qt-browser    0.7.0.dev9+g547b976
├☑ ipywidgets        8.1.1
├☑ trame_client      2.14.2
├☑ trame_server      2.15.0
├☑ trame_vtk         2.7.0
└☑ trame_vuetify     2.3.1

Ecosystem (optional)
├☑ mne-bids          0.15.0.dev24+g05b8e6b8
├☑ mne-nirs          0.7.0.dev0
├☑ mne-connectivity  0.7.0.dev0
├☑ mne-bids-pipeline 1.6.0.dev8+g9055e9c
├☑ neo               0.13.0
└☐ unavailable       mne-features, mne-icalabel

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