Feature/update pre commit

.pre-commit-config.yaml

@@ -13,14 +13,15 @@ repos:
   - id: check-symlinks
   - id: mixed-line-ending
 
+repos:
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.1.7
+  rev: v0.7.3
   hooks:
     # Run the linter.
     - id: ruff
-      types_or: [ python, pyi, jupyter ]
+      types_or: [ python, pyi ]
       args: [ --fix ]
     # Run the formatter.
     - id: ruff-format
-      types_or: [ python, pyi, jupyter ]
+      types_or: [ python, pyi ]

flasc/model_fitting/floris_sensitivity_analysis.py

@@ -1,6 +1,5 @@
 """_summary_."""
 
-
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd

flasc/model_fitting/floris_tuning.py

@@ -7,7 +7,6 @@
 # Doekemeijer at Shell, as well as discussions with Diederik van Binsbergen at
 # NTNU. Please see readme.txt for more information.
 
-
 import numpy as np
 import polars as pl
 

flasc/model_fitting/yaw_pow_fitting.py

@@ -1,4 +1,5 @@
 """Module for fitting yaw loss power curve."""
+
 import os
 
 import matplotlib.pyplot as plt

flasc/utilities/floris_tools.py

@@ -421,9 +421,9 @@ def calc_floris_approx_table(
                 :, tindex
             ]
             solutions_dict["wd_{:03d}".format(tindex)] = fm.wind_directions
-            solutions_dict[
-                "ti_{:03d}".format(tindex)
-            ] = fm.core.flow_field.turbulence_intensity_field[:, tindex]
+            solutions_dict["ti_{:03d}".format(tindex)] = (
+                fm.core.flow_field.turbulence_intensity_field[:, tindex]
+            )
     df_approx = pd.DataFrame(solutions_dict)
 
     logger.info("Finished calculating the FLORIS solutions for the dataframe.")

flasc/yaw_optimizer_visualization.py

@@ -1,6 +1,5 @@
 """Module for visualizing yaw optimizer results."""
 
-
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd