Spell fix, pre-commit

notebooks/21_DLC.ipynb

@@ -500,7 +500,7 @@
    "id": "f5d83452-48eb-4669-89eb-a6beb1f2d051",
    "metadata": {},
    "source": [
-    "Now that we've intialized our project we'll need to extract frames which we will then label.\n"
+    "Now that we've initialized our project we'll need to extract frames which we will then label.\n"
    ]
   },
   {

notebooks/22_DLC_Loop.ipynb

@@ -363,7 +363,7 @@
    "id": "f5d83452-48eb-4669-89eb-a6beb1f2d051",
    "metadata": {},
    "source": [
-    "Now that we've intialized our project we'll need to extract frames which we will then label. "
+    "Now that we've initialized our project we'll need to extract frames which we will then label. "
    ]
   },
   {

notebooks/README.md

@@ -25,13 +25,13 @@ sorting.
 
 ## 2. Position Pipeline
 
-This series of notebooks covers tracking the position(s) of the animal. The
-user can employ two different methods:
+This series of notebooks covers tracking the position(s) of the animal. The user
+can employ two different methods:
 
-1. the simple [Trodes](20_Position_Trodes.ipynb) methods of tracking LEDs on
-   the animal's headstage
-2. [DLC (DeepLabCut)](./21_DLC.ipynb) which uses a neural network to
-   track the animal's body parts.
+1. the simple [Trodes](20_Position_Trodes.ipynb) methods of tracking LEDs on the
+    animal's headstage
+2. [DLC (DeepLabCut)](./21_DLC.ipynb) which uses a neural network to track the
+    animal's body parts.
 
 Either case can be followed by the
 [Linearization notebook](./24_Linearization.ipynb) if the user wants to

notebooks/py_scripts/21_DLC.py

@@ -72,13 +72,10 @@
 # +
 import os
 import datajoint as dj
-from pprint import pprint
 
 import spyglass.common as sgc
 import spyglass.position.v1 as sgp
 
-from pathlib import Path, PosixPath, PurePath
-import glob
 import numpy as np
 import pandas as pd
 import pynwb
@@ -227,7 +224,7 @@
     skip_duplicates=True,
 )
 
-# Now that we've intialized our project we'll need to extract frames which we will then label.
+# Now that we've initialized our project we'll need to extract frames which we will then label.
 #
 
 # comment this line out after you finish frame extraction for each project

notebooks/py_scripts/22_DLC_Loop.py

@@ -65,13 +65,10 @@
 # +
 import os
 import datajoint as dj
-from pprint import pprint
 
 import spyglass.common as sgc
 import spyglass.position.v1 as sgp
 
-from pathlib import Path, PosixPath, PurePath
-import glob
 import numpy as np
 import pandas as pd
 import pynwb
@@ -211,7 +208,7 @@
     skip_duplicates=True,
 )
 
-# Now that we've intialized our project we'll need to extract frames which we will then label.
+# Now that we've initialized our project we'll need to extract frames which we will then label.
 
 # comment this line out after you finish frame extraction for each project
 sgp.DLCProject().run_extract_frames(project_key)

notebooks/py_scripts/41_Extracting_Clusterless_Waveform_Features.py

@@ -155,7 +155,7 @@
 for sorting_id in sorting_ids:
     try:
         sgs.CurationV1.insert_curation(sorting_id=sorting_id)
-    except KeyError as e:
+    except KeyError:
         pass
 
 SpikeSortingOutput.insert(

notebooks/py_scripts/42_Decoding_Clusterless.py

@@ -225,7 +225,7 @@
 # +
 from non_local_detector.environment import Environment
 
-# Environment?
+# ?Environment
 # -
 
 # ## Decoding