From 4cae8483df0b709e641eb6929ee95427906b4927 Mon Sep 17 00:00:00 2001
From: Martin Reinecke <martin@mpa-garching.mpg.de>
Date: Fri, 11 Jun 2021 09:13:18 +0200
Subject: [PATCH] tweaks

---
 demos/custom_nonlinearities.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/demos/custom_nonlinearities.py b/demos/custom_nonlinearities.py
index 9054232cd..27aa4e91c 100644
--- a/demos/custom_nonlinearities.py
+++ b/demos/custom_nonlinearities.py
@@ -19,15 +19,15 @@ import numpy as np
 
 # In NIFTy, users can add hand-crafted point-wise nonlinearities that are then
 # available for `Field`, `MultiField`, `Linearization` and `Operator`. This
-# guide shows an example how this is done.
+# guide illustrates how this is done.
 
-# Suppose, we would like to use the function f(x) = x*exp(x) point-wise in an
-# operator chain. This function is called "myptw" in the following. We
+# Suppose that we would like to use the point-wise function f(x) = x*exp(x) in
+# an operator chain. This function is called "myptw" in the following. We
 # introduce this function to NIFTy by implementing two functions.
 
 # First, one that takes a `numpy.ndarray` as an input, applies the point-wise
-# mapping and returns the result as a `numpy.ndarray` (of the same shape).
-# Second, a function that takes an `numpy.ndarray` as an input and returns two
+# mapping and returns the result as a `numpy.ndarray` of the same shape.
+# Second, a function that takes a `numpy.ndarray` as an input and returns two
 # `numpy.ndarray`s: the application of the nonlinearity (same as before) and
 # the derivative.
 
-- 
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