Description of the problem

A filename such as "my_eeg.2023.test.edf" will raise an error.

Steps to reproduce

test = mne.ie.read_raw("my.file.name.edf")

Link to data

No response

Expected results

Should use the last extension and use the appropriate reader.

Actual results

ValueError Traceback (most recent call last)
Cell In[2], line 6
3 file_to_process = "../data/test_eegs/patient.name.24-05-2021 18.14.46.edf"
4 # Run the classifier, passing the name of the bucket, and the name of the key (i.e. filename).
5 # Offsets are returned as a json string. The key is "offsets".
----> 6 offsets = classify(file_to_process)
7 print(offsets)

File ~/Projects/company/project/src/classifier.py:66, in classify(filename)
62 model.summary()
64 file_to_process = filename
---> 66 raw_eeg = mne.io.read_raw(file_to_process, preload=True, encoding="latin1")
67 raw_eeg.resample(DESIRED_SAMPLE_FREQ, n_jobs=4)
68 filtered_eeg = raw_eeg.filter(l_freq=0.1, h_freq=10, picks=get_channels(raw_eeg))

File ~/Projects/company/project/src/mne/io/_read_raw.py:121, in read_raw(fname, preload, verbose, **kwargs)
119 kwargs["preload"] = preload
120 if ext not in readers:
--> 121 _read_unsupported(fname)
122 these_readers = list(readers[ext].values())
123 for reader in these_readers:

File ~/Projects/company/project/src/mne/io/_read_raw.py:41, in _read_unsupported(fname, **kwargs)
39 msg += f" Try reading a {suggest} file instead."
40 msg += " Consider using a dedicated reader function for more options."
---> 41 raise ValueError(msg)

ValueError: Unsupported file type (.name.24-05-2021 18.14.46.edf). Consider using a dedicated reader function for more options.

Additional information

Platform: Linux-5.10.0-21-amd64-x86_64-with-glibc2.31
Python: 3.10.9 (main, Jan 11 2023, 15:21:40) [GCC 11.2.0]
Executable: /home/john/anaconda3/envs/company/bin/python
CPU: : 8 cores
Memory: 46.9 GB

mne: 1.4.dev0
numpy: 1.24.2 {OpenBLAS 0.3.21 with 8 threads}
scipy: 1.10.1
matplotlib: 3.7.0 {backend=Qt5Agg}

sklearn: 1.2.1
numba: Not found
nibabel: Not found
nilearn: Not found
dipy: Not found
openmeeg: Not found
cupy: Not found
pandas: 1.5.3
pyvista: Not found
pyvistaqt: Not found
ipyvtklink: Not found
vtk: Not found
qtpy: Not found
ipympl: Not found
pyqtgraph: Not found
pooch: v1.6.0

mne_bids: Not found
mne_nirs: Not found
mne_features: Not found
mne_qt_browser: Not found
mne_connectivity: Not found
mne_icalabel: Not found