pre-commit autoupdate

.pre-commit-config.yaml

@@ -7,14 +7,14 @@
 repos:
   # Out-of-the-box hooks from the pre-commit org
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.4.0
+    rev: v4.0.1
     hooks:
       - id: trailing-whitespace
       - id: end-of-file-fixer
       - id: check-yaml
       - id: check-added-large-files
   # Code formatting with black
   - repo: https://github.com/psf/black
-    rev: 20.8b1
+    rev: 21.7b0
     hooks:
       - id: black

docs/worker_failures.rst

@@ -27,7 +27,7 @@ If this page is not accessible then the :mod:`collect_NeahBay_ssh` worker may fa
 
 :mod:`make_ssh_files` can take a date so older files can be run.  Files from the observation site can also be run with the appropriate flag.
 
-.. _NOAA forecast: https://nomads.ncep.noaa.gov/pub/data/nccf/com/etss/prod/ 
+.. _NOAA forecast: https://nomads.ncep.noaa.gov/pub/data/nccf/com/etss/prod/
 
 .. _NOAA tides and water levels: https://tidesandcurrents.noaa.gov/waterlevels.html?id=9443090
 

nowcast/residuals.py

@@ -716,18 +716,19 @@ def NeahBay_forcing_anom(textfile, run_date, tide_file, archive=False, fromtar=F
 
     if fromtar:
         data = pd.read_csv(textfile, parse_dates=[0], index_col=0).rename(
-            columns={"      OB": "obs", "      TWL": 'fcst'})
-        data['Date'] = pd.to_datetime(data.index)
+            columns={"      OB": "obs", "      TWL": "fcst"}
+        )
+        data["Date"] = pd.to_datetime(data.index)
         # clean up 00:00 obs
-        datesat00 = data.resample('1d').nearest().index.array
-        data['offset'] = data.obs - data['    TIDE']
-        data.loc[data.Date.isin(datesat00), 'obs'] = (
+        datesat00 = data.resample("1d").nearest().index.array
+        data["offset"] = data.obs - data["    TIDE"]
+        data.loc[data.Date.isin(datesat00), "obs"] = (
             data[(data.Date.shift(1).isin(datesat00))].offset.values
-            + data[data.Date.isin(datesat00)]['    TIDE'].values
+            + data[data.Date.isin(datesat00)]["    TIDE"].values
         )
-        data.loc[data.obs > 9000, 'obs'] = 9999
-        data = data.resample('1h').nearest()
-        data['Date'] = pd.to_datetime(data.index, utc=True)
+        data.loc[data.obs > 9000, "obs"] = 9999
+        data = data.resample("1h").nearest()
+        data["Date"] = pd.to_datetime(data.index, utc=True)
         dates = data.Date.array
     else:
         data = _load_surge_data(textfile, archive)
@@ -744,7 +745,9 @@ def NeahBay_forcing_anom(textfile, run_date, tide_file, archive=False, fromtar=F
                 isDec = True
             for i in range(dates.shape[0]):
                 dates[i] = _to_datetime(dates[i], run_date.year, isDec, isJan)
-    surge, forecast_flag = _calculate_forcing_surge(data, dates, tide_file, archive, fromtar)
+    surge, forecast_flag = _calculate_forcing_surge(
+        data, dates, tide_file, archive, fromtar
+    )
     return dates, surge, forecast_flag
 
 
@@ -776,7 +779,7 @@ def _calculate_forcing_surge(data, dates, tide_file, archive=False, fromtar=Fals
     surge = []
     # Load tides
     ttide, _ = stormtools.load_tidal_predictions(tide_file)
-    sealevel_correction = 0.
+    sealevel_correction = 0.0
     for d in dates:
         tide = ttide.pred_all[ttide.time == d].item()
         if archive:
@@ -786,7 +789,7 @@ def _calculate_forcing_surge(data, dates, tide_file, archive=False, fromtar=Fals
             fcst = data.fcst[data.Date == d].item()
             sealevel_correction = MSL_in_feet
         else:
-           # Convert datetime to string for comparing with times in data
+            # Convert datetime to string for comparing with times in data
             daystr = d.strftime("%m/%d %HZ")
             obs = data.obs[data.date == daystr].item()
             fcst = data.fcst[data.date == daystr].item()