pre-commit fixes

Author: ggmarshall

scripts/blinding_calibration.py

@@ -74,15 +74,14 @@
 
     # dictionary to pass to build hit
     out_dict = {
-        "pars":{
-            "operations":{
+        "pars": {
+            "operations": {
                 "daqenergy_cal": {
                     "expression": "daqenergy*a",
                     "parameters": {"a": round(roughpars[0], 5)},
                 }
             }
         }
-        
     }
 
     # plot to check thagt the calibration is correct with zoom on 2.6 peak

scripts/build_raw.py

@@ -81,11 +81,6 @@
 rand_num = f"{rng.integers(0,99999):05d}"
 temp_output = f"{args.output}.{rand_num}"
 
-build_raw(
-    args.input,
-    out_spec=all_config,
-    filekey=temp_output,
-    **settings
-)
+build_raw(args.input, out_spec=all_config, filekey=temp_output, **settings)
 
 os.rename(temp_output, args.output)

scripts/build_raw_blind.py

@@ -41,8 +41,12 @@
 configs = LegendMetadata(path=args.configs)
 channel_dict = configs.on(args.timestamp, system=args.datatype)
 
-hdf_settings = Props.read_from(channel_dict["snakemake_rules"]["tier_raw"]["inputs"]["settings"])["hdf5_settings"]
-blinding_settings = Props.read_from(channel_dict["snakemake_rules"]["tier_raw_blind"]["inputs"]["config"])
+hdf_settings = Props.read_from(channel_dict["snakemake_rules"]["tier_raw"]["inputs"]["settings"])[
+    "hdf5_settings"
+]
+blinding_settings = Props.read_from(
+    channel_dict["snakemake_rules"]["tier_raw_blind"]["inputs"]["config"]
+)
 
 centroid = blinding_settings["centroid_in_keV"]  # keV
 width = blinding_settings["width_in_keV"]  # keV
@@ -83,7 +87,9 @@
     )
 
     # figure out which event indices should be blinded
-    toblind = np.append(toblind, np.nonzero(np.abs(np.asarray(daqenergy_cal) - centroid) <= width)[0])
+    toblind = np.append(
+        toblind, np.nonzero(np.abs(np.asarray(daqenergy_cal) - centroid) <= width)[0]
+    )
 
 # remove duplicates
 toblind = np.unique(toblind)
@@ -105,15 +111,22 @@
     except ValueError:
         # if this isn't an interesting channel, just copy it to the output file
         chobj, _ = store.read_object(channel, args.input, decompress=False)
-        store.write_object(chobj, channel, lh5_file=temp_output, wo_mode="w",
-        hdf5_settings=hdf_settings)
+        store.write_object(
+            chobj, channel, lh5_file=temp_output, wo_mode="w", hdf5_settings=hdf_settings
+        )
         continue
 
     if (chnum not in list(ged_channels)) and (chnum not in list(spms_channels)):
         # if this is a PMT or not included for some reason, just copy it to the output file
         chobj, _ = store.read_object(channel + "/raw", args.input, decompress=False)
-        store.write_object(chobj, group=channel, name="raw", lh5_file=temp_output, wo_mode="w",
-        hdf5_settings=hdf_settings)
+        store.write_object(
+            chobj,
+            group=channel,
+            name="raw",
+            lh5_file=temp_output,
+            wo_mode="w",
+            hdf5_settings=hdf_settings,
+        )
         continue
 
     # the rest should be the Ge and SiPM channels that need to be blinded
@@ -124,8 +137,14 @@
     )
 
     # now write the blinded data for this channel
-    store.write_object(blinded_chobj, group=channel, name="raw", lh5_file=temp_output, wo_mode="w",
-    hdf5_settings=hdf_settings)
+    store.write_object(
+        blinded_chobj,
+        group=channel,
+        name="raw",
+        lh5_file=temp_output,
+        wo_mode="w",
+        hdf5_settings=hdf_settings,
+    )
 
 # rename the temp file
 os.rename(temp_output, args.output)