[refactor] Ruff fixes

[noxan]

Fix all ruff warnings, depends on #1324 ⚠️

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
PeytonManning	MAE_val	0.58159	0.58159	-0.0%	✅
PeytonManning	RMSE_val	0.72216	0.72216	0.0%	✅
PeytonManning	Loss_val	0.01239	0.01239	-0.0%	✅
PeytonManning	MAE	0.41671	0.41671	-0.0%	✅
PeytonManning	RMSE	0.55961	0.55961	0.0%	✅
PeytonManning	Loss	0.00612	0.00612	0.0%	✅
PeytonManning	time	16.0265	13.16	-17.89%	🎉
YosemiteTemps	MAE_val	1.3442	1.3442	-0.0%	✅
YosemiteTemps	RMSE_val	2.00245	2.00245	-0.0%	✅
YosemiteTemps	Loss_val	0.00077	0.00077	-0.0%	✅
YosemiteTemps	MAE	1.3192	1.3192	0.0%	✅
YosemiteTemps	RMSE	2.13518	2.13518	-0.0%	✅
YosemiteTemps	Loss	0.00064	0.00064	-0.0%	✅
YosemiteTemps	time	75.3192	62.52	-16.99%	🎉
AirPassengers	MAE_val	13.0626	13.0626	0.0%	✅
AirPassengers	RMSE_val	15.9452	15.9453	0.0%	✅
AirPassengers	Loss_val	0.00131	0.00131	0.0%	✅
AirPassengers	MAE	9.88156	9.88156	0.0%	✅
AirPassengers	RMSE	11.7354	11.7354	0.0%	✅
AirPassengers	Loss	0.00052	0.00052	0.0%	✅
AirPassengers	time	6.74718	5.58	-17.3%	🎉

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov]

Codecov Report

Merging #1327 (d7df641) into main (2cf8c04) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main    #1327   +/-   ##
=======================================
  Coverage   89.85%   89.86%           
=======================================
  Files          38       38           
  Lines        5104     5109    +5     
=======================================
+ Hits         4586     4591    +5     
  Misses        518      518           

Impacted Files	Coverage Δ
...uralprophet/components/future_regressors/linear.py	100.00% <ø> (ø)
neuralprophet/components/seasonality/fourier.py	97.14% <ø> (ø)
neuralprophet/components/trend/piecewise_linear.py	92.55% <ø> (ø)
neuralprophet/configure.py	90.18% <ø> (ø)
neuralprophet/data/process.py	92.56% <ø> (ø)
neuralprophet/data/split.py	90.81% <ø> (ø)
neuralprophet/plot_forecast_matplotlib.py	84.47% <ø> (ø)
neuralprophet/plot_model_parameters_plotly.py	94.95% <ø> (ø)
neuralprophet/plot_utils.py	88.01% <ø> (ø)
neuralprophet/time_dataset.py	94.88% <ø> (ø)
... and 9 more

[leoniewgnr]

LGTM, thanks!!