From bad4b4dcad3191adebed7bb00e25c0be0b7917ef Mon Sep 17 00:00:00 2001
From: Martin Reinecke <martin@mpa-garching.mpg.de>
Date: Mon, 28 Oct 2019 20:40:12 +0100
Subject: [PATCH] merge NIFTy_5, cosmetics
---
nifty5/minimization/metric_gaussian_kl_mpi.py | 4 +---
1 file changed, 1 insertion(+), 3 deletions(-)
diff --git a/nifty5/minimization/metric_gaussian_kl_mpi.py b/nifty5/minimization/metric_gaussian_kl_mpi.py
index f3c280d2c..e95381501 100644
--- a/nifty5/minimization/metric_gaussian_kl_mpi.py
+++ b/nifty5/minimization/metric_gaussian_kl_mpi.py
@@ -73,7 +73,6 @@ class KLMetric(EndomorphicOperator):
return self._KL.metric_sample(from_inverse, dtype)
-
class MetricGaussianKL_MPI(Energy):
"""Provides the sampled Kullback-Leibler divergence between a distribution
and a Metric Gaussian.
@@ -116,7 +115,7 @@ class MetricGaussianKL_MPI(Energy):
_samples : None
Only a parameter for internal uses. Typically not to be set by users.
seed_offset : int
- A parameter with which one can controll from which seed the samples
+ A parameter with which one can controll from which seed the samples
are drawn. Per default, the seed is different for MPI tasks, but the
same every time this class is initialized.
@@ -132,7 +131,6 @@ class MetricGaussianKL_MPI(Energy):
Torsten A. Enßlin, `<https://arxiv.org/abs/1901.11033>`_
"""
-
def __init__(self, mean, hamiltonian, n_samples, constants=[],
point_estimates=[], mirror_samples=False,
napprox=0, _samples=None, seed_offset=0):
--
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