From e66e8b5ec2ab6cb401b51310dc8ea2cf374f8661 Mon Sep 17 00:00:00 2001
From: Martin Reinecke <martin@mpa-garching.mpg.de>
Date: Wed, 25 Mar 2020 12:44:15 +0100
Subject: [PATCH] cosmetics
---
nifty6/minimization/metric_gaussian_kl.py | 7 ++-----
1 file changed, 2 insertions(+), 5 deletions(-)
diff --git a/nifty6/minimization/metric_gaussian_kl.py b/nifty6/minimization/metric_gaussian_kl.py
index 8cfe2a4e5..c9ef5b0f7 100644
--- a/nifty6/minimization/metric_gaussian_kl.py
+++ b/nifty6/minimization/metric_gaussian_kl.py
@@ -257,7 +257,7 @@ class MetricGaussianKL(Energy):
res = res + tuple(-item for item in res)
return res
- def _unscaled_metric_sample(self, from_inverse=False, dtype=np.float64):
+ def _metric_sample(self, from_inverse=False, dtype=np.float64):
if from_inverse:
raise NotImplementedError()
lin = self._lin.with_want_metric()
@@ -269,7 +269,4 @@ class MetricGaussianKL(Energy):
if self._mirror_samples:
samp = samp + self._hamiltonian(lin-v).metric.draw_sample(from_inverse=False, dtype=dtype)
random.pop_sseq()
- return _allreduce_sum_field(self._comm, samp)
-
- def _metric_sample(self, from_inverse=False, dtype=np.float64):
- return self._unscaled_metric_sample(from_inverse, dtype)/self._n_eff_samples
+ return _allreduce_sum_field(self._comm, samp)/self._n_eff_samples
--
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