From cd30f1d77019ddadc73842a1349d371f674ca22f Mon Sep 17 00:00:00 2001
From: Agnes Korcsak-Gorzo <40828647+akorgor@users.noreply.github.com>
Date: Sat, 29 Jun 2024 08:49:51 +0200
Subject: [PATCH] Remove whitespace

---
 models/weight_optimizer.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/models/weight_optimizer.h b/models/weight_optimizer.h
index bebcd3a38b..6ed5c47cd3 100644
--- a/models/weight_optimizer.h
+++ b/models/weight_optimizer.h
@@ -71,7 +71,7 @@ assumes :math:`\epsilon = \hat{\epsilon} \sqrt{ 1 - \beta_2^t }` to be constant.
 When `optimize_each_step` is set to `True`, the weights are optimized at every
 time step. If set to `False`, optimization occurs once per spike, resulting in a
 significant speed-up. For gradient descent, both settings yield the same
-results under exact arithmetic; however, small numerical differences may be 
+results under exact arithmetic; however, small numerical differences may be
 observed due to floating point precision. For the Adam optimizer, only setting
 `optimize_each_step` to `True` precisely implements the algorithm as described
 in [2]_. The impact of this setting on learning performance may vary depending