From 1d872bb32bb323a2eeb8c6ca9b8a722184ca7614 Mon Sep 17 00:00:00 2001
From: Diederick Vermetten <44877568+Dvermetten@users.noreply.github.com>
Date: Wed, 4 Feb 2026 13:42:04 +0100
Subject: [PATCH] fix incorrect imports in readme

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 18954ea..0f5a82b 100644
--- a/README.md
+++ b/README.md
@@ -191,13 +191,13 @@ To facilitate **automated hyperparameter tuning**, ModularCMAES now provides fun
 The configuration space is automatically derived from the available modules and tunable parameters via the function:
 
 ```python
-from modcma.cmaescpp import get_configspace
+from modcma.c_maes import get_configspace
 ```
 
 Usage:
 
 ```python
-from modcma.cmaescpp import get_configspace
+from modcma.c_maes import get_configspace
 
 # Create a configuration space for a 10-dimensional problem
 cs = get_configspace(dim=10)
@@ -222,7 +222,7 @@ cs_modules = get_configspace(add_popsize=False, add_sigma=False, add_learning_ra
 Once a configuration has been selected—either manually or from a tuner—the library provides a simple interface to construct a corresponding `Settings` object:
 
 ```python
-from modcma.cmaescpp import settings_from_config
+from modcma.c_maes import settings_from_config
 from ConfigSpace import Configuration
 
 # Sample or load a configuration