change para name back to 'iters_p_dim'

Author: SimonBlanke

src/gradient_free_optimizers/optimizer_search/powells_method.py

@@ -42,7 +42,7 @@ class PowellsMethod(_PowellsMethod, Search):
     n_neighbours : int
         The number of neighbours to sample and evaluate before moving to the best
         of those neighbours.
-    iters_per_direction : int
+    iters_p_dim : int
         Number of evaluations per direction during line search.
     line_search : str
         Line search method: "grid" (default), "golden", or "hill_climb".
@@ -66,7 +66,7 @@ def __init__(
         epsilon: float = 0.03,
         distribution: str = "normal",
         n_neighbours: int = 3,
-        iters_per_direction: int = 10,
+        iters_p_dim: int = 10,
         line_search: Literal["grid", "golden", "hill_climb"] = "grid",
         convergence_threshold: float = 1e-8,
     ):
@@ -80,7 +80,7 @@ def __init__(
             epsilon=epsilon,
             distribution=distribution,
             n_neighbours=n_neighbours,
-            iters_per_direction=iters_per_direction,
+            iters_p_dim=iters_p_dim,
             line_search=line_search,
             convergence_threshold=convergence_threshold,
         )

src/gradient_free_optimizers/optimizers/global_opt/powells_method/powells_method.py

@@ -45,7 +45,7 @@ def __init__(
         epsilon=0.03,
         distribution="normal",
         n_neighbours=3,
-        iters_per_direction=10,
+        iters_p_dim=10,
         line_search="grid",
         convergence_threshold=1e-8,
     ):
@@ -72,7 +72,7 @@ def __init__(
             Distribution for hill climbing perturbations.
         n_neighbours : int, optional
             Number of neighbors for hill climbing.
-        iters_per_direction : int, optional
+        iters_p_dim : int, optional
             Number of evaluations per direction during line search.
         line_search : str, optional
             Line search method: "grid", "golden", or "hill_climb".
@@ -93,7 +93,7 @@ def __init__(
             n_neighbours=n_neighbours,
         )
 
-        self.iters_per_direction = iters_per_direction
+        self.iters_p_dim = iters_p_dim
         self.line_search_method = line_search
         self.epsilon = epsilon
         self.distribution = distribution
@@ -143,7 +143,7 @@ def _start_direction_search(self):
         self.line_searcher.start(
             origin=self.pos_current.copy(),
             direction=direction.direction,
-            max_iters=self.iters_per_direction,
+            max_iters=self.iters_p_dim,
         )
 
     def _finish_direction_search(self):