ruff happiness

iblrig/test/test_transfers.py

@@ -158,9 +158,9 @@ def test_copier(self):
                 locations=['VTA', 'SNc'],
             )
             # iblrig.neurophotometrics.copy_photometry_subject(session.paths['SESSION_FOLDER'])
-            sc, = iblrig.commands.transfer_data(tag='neurophotometrics')
+            (sc,) = iblrig.commands.transfer_data(tag='neurophotometrics')
             self.assertEqual(sc.state, 2)
-            
+
 
 class TestIntegrationTransferExperiments(TestIntegrationTransferExperimentsBase):
     """This test emulates the `transfer_data` command as run on the rig."""

iblrig/transfer_experiments.py

@@ -12,18 +12,16 @@
 from pathlib import Path
 
 import numpy as np
-import pandas as pd
-import pandera
 
 import ibllib.pipes.misc
+import iblphotometry.io as fpio
 import iblrig
 import one.alf.path as alfiles
 from ibllib.io import raw_data_loaders, session_params
 from ibllib.pipes.misc import sleepless
 from iblrig.raw_data_loaders import load_task_jsonable
 from iblutil.io import hashfile
 from iblutil.util import ensure_list
-import iblphotometry.io as fpio
 
 log = logging.getLogger(__name__)
 
@@ -686,7 +684,11 @@ def _copy_collections(self, folder_neurophotometric: Path | None = None) -> bool
         # Here we find the first photometry folder after the start_time. In case this is failing
         # we can feed a custom start_time to go to the desired folder, or just rename the folder
         # FIXME TODO
-        folder_neurophotometric = self.session_path.parents[4].joinpath('neurophotometrics') if folder_neurophotometric is None else folder_neurophotometric
+        folder_neurophotometric = (
+            self.session_path.parents[4].joinpath('neurophotometrics')
+            if folder_neurophotometric is None
+            else folder_neurophotometric
+        )
         folder_day = next(folder_neurophotometric.glob(ed['datetime'][:10]), None)
         assert folder_day is not None, f"Neurophotometrics folder {folder_neurophotometric} doesn't contain data"
         folder_times = list(folder_day.glob('T*'))
@@ -699,7 +701,7 @@ def _copy_collections(self, folder_neurophotometric: Path | None = None) -> bool
         assert csv_digital_inputs.exists(), f'Digital inputs file {csv_digital_inputs} not found'
 
         # Copy the raw and digital inputs files to the server
-        # read in and 
+        # read in and
         df_raw_photometry = fpio.from_raw_neurophotometrics_file_to_raw_df(csv_raw_photometry, validate=False)
         # explicitly explicitly with the data from the experiment description file
         cols = ed['fibers'].keys()

pyproject.toml

@@ -28,7 +28,7 @@ dependencies = [
     "iblqt>=0.3.1",
     "ONE-api>=2.11.1",
     "tycmd-wrapper>=0.2.1",
-    "ibl-photometry @ git+https://github.com/int-brain-lab/ibl-photometry@main"
+    "ibl-photometry @ git+https://github.com/int-brain-lab/ibl-photometry@main",
     #
     # Everything else
     "annotated-types>=0.7.0",