Merge pull request #1138 from JuliaSprenger/clean/warnings

clean up tdt warnings and badge cleanup

Author: samuelgarcia

README.rst

@@ -31,12 +31,12 @@ A project with similar aims but for neuroimaging file formats is `NiBabel`_.
 Code status
 -----------
 
-.. image:: https://travis-ci.org/NeuralEnsemble/python-neo.png?branch=master
-   :target: https://travis-ci.org/NeuralEnsemble/python-neo
-   :alt: Core Unit Test Status (TravisCI)
-.. image:: https://github.com/NeuralEnsemble/python-neo/actions/workflows/full-test.yml/badge.svg?event=push&branch=master
+.. image:: https://github.com/NeuralEnsemble/python-neo/actions/workflows/core-test.yml/badge.svg?event=push&branch=master
    :target: https://github.com/NeuralEnsemble/python-neo/actions?query=event%3Apush+branch%3Amaster
-   :alt: IO Unit Test Status (Github Actions)
+   :alt: Core Test Status (Github Actions)
+.. image:: https://github.com/NeuralEnsemble/python-neo/actions/workflows/io-test.yml/badge.svg?event=push&branch=master
+   :target: https://github.com/NeuralEnsemble/python-neo/actions?query=event%3Apush+branch%3Amaster
+   :alt: IO Test Status (Github Actions)
 .. image:: https://coveralls.io/repos/NeuralEnsemble/python-neo/badge.png
    :target: https://coveralls.io/r/NeuralEnsemble/python-neo
    :alt: Unit Test Coverage

neo/rawio/tdtrawio.py

@@ -179,6 +179,7 @@ def _parse_header(self):
                               for seg_index in range(nb_segment)}  # key = seg_index then group_id
 
         keep = info_channel_groups['TankEvType'] == EVTYPE_STREAM
+        missing_sev_channels = []
         for stream_index, info in enumerate(info_channel_groups[keep]):
             self._sig_sample_per_chunk[stream_index] = info['NumPoints']
 
@@ -252,7 +253,7 @@ def _parse_header(self):
 
                         # in case non or multiple sev files are found for current stream + channel
                         if len(sev_filename) != 1:
-                            warnings.warn(f'Could not identify sev file for channel {chan_id}.')
+                            missing_sev_channels.append(chan_id)
                             sev_filename = None
 
                     if (sev_filename is not None) and sev_filename.exists():
@@ -269,6 +270,10 @@ def _parse_header(self):
                 offset = 0.
                 signal_channels.append((chan_name, str(chan_id), sampling_rate, dtype,
                                         units, gain, offset, stream_id))
+
+        if missing_sev_channels:
+            warnings.warn(f'Could not identify sev files for channels {missing_sev_channels}.')
+
         signal_streams = np.array(signal_streams, dtype=_signal_stream_dtype)
         signal_channels = np.array(signal_channels, dtype=_signal_channel_dtype)