[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ default_language_version:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v4.5.0
     hooks:
       # list of supported hooks: https://pre-commit.com/hooks.html
       - id: trailing-whitespace
@@ -12,20 +12,20 @@ repos:
       - id: detect-private-key
 
   # python code formatting/linting
-  - repo: https://github.com/charliermarsh/ruff-pre-commit
+  - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: "v0.0.253"
+    rev: "v0.1.6"
     hooks:
       - id: ruff
         args: [--fix]
   - repo: https://github.com/psf/black
-    rev: 22.6.0
+    rev: 23.11.0
     hooks:
       - id: black
         args: [--line-length, "100"]
   # yaml formatting
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.0.0-alpha.4
+    rev: v3.1.0
     hooks:
       - id: prettier
         types: [yaml]

notebooks/good_and_bad_results.py

@@ -28,7 +28,6 @@
 traces = []
 subplot_titles = []
 for i in range(len(all_indexes)):
-
     print(i)
 
     index = all_indexes[i] % 32

nowcasting_utils/metrics/plot.py

@@ -63,7 +63,6 @@ def make_forecast_horizon_metrics(results_df, normalize: bool = False) -> List[g
     forecast_horizon_metrics = {}
     # loop over the number of forecast horizons
     for i in range(n_forecast_hoirzons):
-
         forecast_horizon = (i + 1) * time_delta
         forecast_horizon_hours = forecast_horizon.seconds / 3600
 
@@ -92,7 +91,6 @@ def make_forecast_horizon_metrics(results_df, normalize: bool = False) -> List[g
     trace_forecast_horizons = []
     # loop over the different columns / metrics and plot them
     for i in range(len(plotting_metrics)):
-
         col = plotting_metrics[i]
         colour = colours[i]
 
@@ -127,7 +125,6 @@ def make_gsp_id_metrics(
     n_gsp_ids = int(results_df["gsp_id"].max())
     gsp_metrics = {}
     for i in range(n_gsp_ids):
-
         gsp_id = i + 1
 
         results_df_one_forecast_hoirzon = results_df[results_df["gsp_id"] == gsp_id]
@@ -146,7 +143,6 @@ def make_gsp_id_metrics(
     # plot metrics
     trace_gsp_id = []
     for i in range(len(plotting_metrics)):
-
         col = plotting_metrics[i]
         colour = colours[i]
 
@@ -202,7 +198,6 @@ def make_t0_datetime_utc_metrics(results_df, normalize: bool = False) -> (go.Sca
         )
 
     for i in range(len(target_datetimes_utc)):
-
         target_datetime_utc = target_datetimes_utc[i]
 
         results_df_one_datetime = results_df[
@@ -221,7 +216,6 @@ def make_t0_datetime_utc_metrics(results_df, normalize: bool = False) -> (go.Sca
     # plot metrics
     trace_gsp_id = []
     for i in range(len(plotting_metrics)):
-
         col = plotting_metrics[i]
         colour = colours[i]
 

nowcasting_utils/metrics/validation.py

@@ -51,7 +51,6 @@ def make_validation_results(
     # TODO #64 vectorize
     n_forecast_timesteps = predictions_mw.shape[1]
     for i in range(n_forecast_timesteps):
-
         if len(capacity_mwp.shape) == 1:
             capacity_time_step = capacity_mwp
         else:

nowcasting_utils/visualization/data_sources/plot_gsp.py

@@ -68,7 +68,6 @@ def get_traces_gsp_intensity(gsp: GSP, example_index: int):
     traces = []
 
     for t_index in range(len(time)):
-
         trace = get_trace_gsp_intensity_one_time_step(
             gsp=gsp, example_index=example_index, t_index=t_index
         )

nowcasting_utils/visualization/data_sources/plot_pv.py

@@ -64,7 +64,6 @@ def get_traces_pv_intensity(pv: PV, example_index: int):
     traces = [go.Choroplethmapbox(colorscale="Viridis")]
 
     for t_index in range(len(time)):
-
         trace = get_trace_pv_intensity_one_time_step(
             pv=pv, example_index=example_index, t_index=t_index
         )

nowcasting_utils/visualization/line.py

@@ -118,7 +118,6 @@ def plot_batch_results(
     fig.layout.annotations[-1]["yanchor"] = "bottom"
 
     for i in range(0, batchsize):
-
         row = i // N + 1
         col = i % N + 1
 

scripts/plot-satellite.py

@@ -26,7 +26,6 @@
 
 # loop over examples
 for example_index in range(11, 13):
-
     x = satellite.x[example_index].mean()
     y = satellite.y[example_index].mean()
 

scripts/plot_nwp.py

@@ -52,7 +52,6 @@
 
 # loop over examples
 for example_index in range(5, 6):
-
     x = nwp.x[example_index].mean()
     y = nwp.y[example_index].mean()