From 5d33abf851b562a84d01990c71a467606ed788a0 Mon Sep 17 00:00:00 2001
From: Philipp Arras <parras@mpa-garching.mpg.de>
Date: Mon, 29 Jul 2019 12:32:40 +0200
Subject: [PATCH] Fixup
---
nifty5/minimization/descent_minimizers.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/nifty5/minimization/descent_minimizers.py b/nifty5/minimization/descent_minimizers.py
index 945426aec..df3f40162 100644
--- a/nifty5/minimization/descent_minimizers.py
+++ b/nifty5/minimization/descent_minimizers.py
@@ -133,7 +133,7 @@ class SteepestDescent(DescentMinimizer):
functional's gradient for minimization.
"""
- def get_descent_direction(self, energy):
+ def get_descent_direction(self, energy, _):
return -energy.gradient
@@ -150,7 +150,7 @@ class RelaxedNewton(DescentMinimizer):
super(RelaxedNewton, self).__init__(controller=controller,
line_searcher=line_searcher)
- def get_descent_direction(self, energy):
+ def get_descent_direction(self, energy, _):
return -energy.metric.inverse_times(energy.gradient)
@@ -204,7 +204,7 @@ class L_BFGS(DescentMinimizer):
self._s = [None]*self.max_history_length
self._y = [None]*self.max_history_length
- def get_descent_direction(self, energy):
+ def get_descent_direction(self, energy, _):
x = energy.position
s = self._s
y = self._y
@@ -267,7 +267,7 @@ class VL_BFGS(DescentMinimizer):
def reset(self):
self._information_store = None
- def get_descent_direction(self, energy):
+ def get_descent_direction(self, energy, _):
x = energy.position
gradient = energy.gradient
# initialize the information store if it doesn't already exist
--
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