Bump [skip actions]

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "npc_sessions"
-version = "0.0.226"
+version = "0.0.227"
 description = "NWB-conversion for behavior and epyhys sessions from the Mindscope Neuropixels team, in the cloud."
 authors = [
     { name = "Ben Hardcastle", email = "[email protected]" },

requirements.txt

@@ -23,45 +23,45 @@ crc32c==2.4
 cryptography==42.0.5
 cycler==0.12.1
 dictdiffer==0.9.0
-DynamicRoutingTask==0.1.102
+DynamicRoutingTask==0.1.104
 et-xmlfile==1.1.0
 fasteners==0.19; sys_platform != "emscripten"
 fonttools==4.50.0
 frozenlist==1.4.1
 fsspec==2024.3.0
 h5py==3.11.0
-hdmf==3.14.0
-hdmf-zarr==0.7.0
+hdmf==3.14.2
+hdmf-zarr==0.8.0
 idna==3.6
 importlib-resources==6.4.0; python_version < "3.10"
 inflection==0.5.1
 jmespath==1.0.1
 jsonschema==4.21.1
 jsonschema-specifications==2023.12.1
 kiwisolver==1.4.5
-llvmlite==0.42.0
+llvmlite==0.43.0
 markdown-it-py==3.0.0
-matplotlib==3.9.0
+matplotlib==3.9.1
 mdurl==0.1.2
 msgpack==1.0.8
 multidict==6.0.5
 ndindex==1.8
 ndx-events==0.2.0
 ndx-pose==0.1.1
 neo==0.13.0
-npc-ephys==0.1.15
+npc-ephys==0.1.16
 npc-io==0.1.26
-npc-lims==0.1.154
+npc-lims==0.1.161
 npc-mvr==0.1.6
 npc-samstim==0.1.4
-npc-session==0.1.34
+npc-session==0.1.36
 npc-stim==0.1.8
-npc-sync==0.1.14
-numba==0.59.1
+npc-sync==0.1.15
+numba==0.60.0
 numcodecs==0.12.1
 numexpr==2.9.0
 numpy==1.26.4
-opencv-python-headless==4.9.0.80
+opencv-python-headless==4.10.0.84
 openpyxl==3.1.2
 packaging==24.0
 pandas==2.2.2
@@ -71,12 +71,12 @@ probeinterface==0.2.21
 py-cpuinfo==9.0.0
 pyarrow==16.1.0
 pycparser==2.21; platform_python_implementation != "PyPy"
-pydantic==2.7.1
-pydantic-core==2.18.2
+pydantic==2.8.2
+pydantic-core==2.20.1
 pydantic-settings==2.2.1
 pydbhub-bjh==0.0.9
 pygments==2.17.2
-pynwb==2.7.0
+pynwb==2.8.1
 pyopenssl==24.1.0
 pyparsing==3.1.2
 python-dateutil==2.9.0.post0
@@ -93,22 +93,22 @@ ruamel-yaml==0.18.6
 ruamel-yaml-clib==0.2.8; platform_python_implementation == "CPython" and python_version < "3.13"
 s3fs==2024.3.0
 s3transfer==0.6.2
-scipy==1.13.0
+scipy==1.13.1
 semver==3.0.2
 six==1.16.0
-spikeinterface==0.100.6
+spikeinterface==0.100.8
 tables==3.9.2
 threadpoolctl==3.4.0
 tqdm==4.66.2
 types-pyYAML==6.0.12.20240311
 types-requests==2.31.0.6
 types-urllib3==1.26.25.14
-typing-extensions==4.10.0
+typing-extensions==4.12.2
 tzdata==2024.1
 universal-pathlib==0.1.4
 urllib3==1.26.18
 wavpack-numcodecs==0.1.5
 wrapt==1.16.0
 yarl==1.9.4
-zarr==2.18.0
+zarr==2.17.2
 zipp==3.18.1; python_version < "3.10"

src/npc_sessions/utils/videos.py

@@ -21,6 +21,7 @@
 
 FACEMAP_CAMERA_NAMES: tuple[npc_mvr.CameraName, ...] = ("behavior", "face")
 
+
 def get_dlc_session_paf_graph(session: str, model_name: str) -> list:
     """
     https://github.com/DeepLabCut/DLC2NWB/blob/main/dlc2nwb/utils.py#L139
@@ -59,22 +60,33 @@ def h5_to_dataframe(h5_path: upath.UPath, key_name: str | None = None) -> pd.Dat
     return df_h5
 
 
-def get_LPFaceParts_predictions_dataframe(session: str, camera: Literal['side', 'face']) -> pd.DataFrame:
+def get_LPFaceParts_predictions_dataframe(
+    session: str, camera: Literal["side", "face"]
+) -> pd.DataFrame:
     """
     Gets the result dataframe with the lightning pose prediction for the facial features for the given camera
     >>> df_predictions = get_LPFaceParts_predictions_dataframe('702136_2024-03-07', 'side')
     >>> len(df_predictions.columns)
     34
     """
-    session_LP_predictions_s3_paths = npc_lims.get_lpfaceparts_camera_predictions_s3_paths(session, camera)
-    session_LP_prediction_csv_s3_path = tuple(path for path in session_LP_predictions_s3_paths if '_predictions.csv' in str(path))
+    session_LP_predictions_s3_paths = (
+        npc_lims.get_lpfaceparts_camera_predictions_s3_paths(session, camera)
+    )
+    session_LP_prediction_csv_s3_path = tuple(
+        path
+        for path in session_LP_predictions_s3_paths
+        if "_predictions.csv" in str(path)
+    )
     if not session_LP_predictions_s3_paths:
-        raise FileNotFoundError(f'{session} has no lightning pose prediction csv in result. Check codeocean')
-
+        raise FileNotFoundError(
+            f"{session} has no lightning pose prediction csv in result. Check codeocean"
+        )
+
     df_predictions = pd.read_csv(session_LP_prediction_csv_s3_path[0], low_memory=False)
     data_array = df_predictions.to_numpy()
     return pd.DataFrame(data_array[1:], columns=data_array[0])
 
+
 def get_ellipse_session_dataframe_from_h5(session: str) -> pd.DataFrame:
     """
     >>> df_ellipse = get_ellipse_session_dataframe_from_h5('676909_2023-12-12')