MNE appends empty data at the end of Raw object after CNT importation

Description of the problem

Hello! My lab has some old neuroscan cnt files that we are processing and I discovered a bug where MNE appends empty data to the end of the file after importation using mne.io.read_raw_cnt()

When I read the file in neuroscan the file is normal so I know it is not a problem with the file.

Steps to reproduce

import mne
mne.io.read_raw_cnt('empty_end.cnt', data_format = 'int32').plot()

Link to data

I cannot shorten the file because it removes the problem.
Here is a link to the file:
https://wustl.box.com/s/nfcbstcegtbh954ixh8orzyteiz0wxk2

Expected results

The expected results should be the data imports as normal and looks like this at the end:

Actual results

Instead there is empty data at the end and when I run:
mne.io.read_raw_cnt('/home/woess/current_assignment/empty_end.cnt', data_format = 'int32').to_data_frame().tail(100)
The data looks like this:

The plot looks like this:

Additional information

Platform Linux-5.15.90.2-microsoft-standard-WSL2-x86_64-with-glibc2.31
Python 3.10.10 | packaged by conda-forge | (main, Mar 24 2023, 20:08:06) [GCC 11.3.0]
Executable /home/woess/mambaforge/envs/mne/bin/python
CPU x86_64 (12 cores)
Memory 11.3 GB

Core
├☑ mne 1.4.0
├☑ numpy 1.23.5 (OpenBLAS 0.3.21 with 12 threads)
├☑ scipy 1.10.1
├☑ matplotlib 3.7.1 (backend=module://matplotlib_inline.backend_inline)
├☑ pooch 1.7.0
└☑ jinja2 3.1.2

Numerical (optional)
├☑ sklearn 1.2.2
├☑ numba 0.56.4
├☑ nibabel 5.0.1
├☑ nilearn 0.10.0
├☑ dipy 1.6.0
├☑ openmeeg 2.5.6
├☑ pandas 2.0.3
└☐ unavailable cupy

Visualization (optional)
├☑ pyvista 0.38.5 (OpenGL 3.3 (Core Profile) Mesa 21.2.6 via D3D12 (AMD Radeon(TM) Graphics))
├☑ pyvistaqt 0.9.1
├☑ ipyvtklink 0.2.2
├☑ vtk 9.2.6
├☑ qtpy 2.3.0 (PyQt5=5.15.6)
├☑ ipympl 0.9.3
├☑ pyqtgraph 0.13.2
└☑ mne-qt-browser 0.4.0

Ecosystem (optional)
└☐ unavailable mne-bids, mne-nirs, mne-features, mne-connectivity, mne-icalabel, mne-bids-pipeline

Start at the mne.io.read_raw_cnt() entry point and reproduce the issue with the linked empty_end.cnt file using data_format='int32'. Inspect how CNT sample counts and trailing records are read; done means the imported Raw object and to_data_frame().tail(100) contain no appended empty data and the end matches the expected plot.