add bootstrap_runs_override config setting

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "wind-up"
 version = "0.1.2"
-description = ""
+description = "A tool to assess yield uplift of wind turbines"
 authors = [
     { name = "Alex Clerc", email = "alex.clerc@res-group.com" }
 ]

wind_up/models.py

@@ -205,6 +205,12 @@ class WindUpConfig(BaseModel):
         examples=[1, 2],
     )
     ws_bin_width: float = Field(description="Wind speed bin width in m/s", gt=0, examples=[0.5, 1])
+    bootstrap_runs_override: int | None = Field(
+        description="Number of bootstrap runs to use, if None then calculated",
+        ge=0,
+        examples=[None, 1000],
+        default=None,
+    )
     reanalysis_method: str = Field(
         default="node_with_best_ws_corr",
         description="Method to use for reanalysis (e.g. ERA5) selection",

wind_up/pp_analysis.py

@@ -419,7 +419,7 @@ def pre_post_pp_analysis_with_reversal_and_bootstrapping(
     pre_df_dropna = pre_df.dropna(subset=[ws_col, pw_col, wd_col])
     post_df_dropna = post_df.dropna(subset=[ws_col, pw_col, wd_col])
 
-    n_samples = round(40 * (1 / (1 - confidence_level)))
+    n_samples = cfg.bootstrap_runs_override if cfg.bootstrap_runs_override else round(40 * (1 / (1 - confidence_level)))
     if plot_cfg is not None:
         print(f"Running block bootstrapping uncertainty analysis n_samples = {n_samples}")
     bootstrapped_uplifts = np.empty(n_samples)