File: 0003-Use-raw-strings-with-TeX-docstrings.patch

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From: Gard Spreemann <gspr@nonempty.org>
Date: Tue, 3 Dec 2024 16:27:53 +0100
Subject: Use raw strings with TeX docstrings

---
 pyspike/PieceWiseConstFunc.py | 2 +-
 pyspike/PieceWiseLinFunc.py   | 2 +-
 pyspike/spike_sync.py         | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/pyspike/PieceWiseConstFunc.py b/pyspike/PieceWiseConstFunc.py
index 450e59a..dade4d0 100644
--- a/pyspike/PieceWiseConstFunc.py
+++ b/pyspike/PieceWiseConstFunc.py
@@ -157,7 +157,7 @@ class PieceWiseConstFunc(object):
         return a
 
     def avrg(self, interval=None):
-        """ Computes the average of the piece-wise const function:
+        r""" Computes the average of the piece-wise const function:
         :math:`a = 1/T \int_0^T f(x) dx` where T is the length of the interval.
 
         :param interval: averaging interval given as a pair of floats, a
diff --git a/pyspike/PieceWiseLinFunc.py b/pyspike/PieceWiseLinFunc.py
index 1195e9a..cb4fcd4 100644
--- a/pyspike/PieceWiseLinFunc.py
+++ b/pyspike/PieceWiseLinFunc.py
@@ -193,7 +193,7 @@ class PieceWiseLinFunc:
         return integral
 
     def avrg(self, interval=None):
-        """ Computes the average of the piece-wise linear function:
+        r""" Computes the average of the piece-wise linear function:
         :math:`a = 1/T \int_0^T f(x) dx` where T is the interval length.
 
         :param interval: averaging interval given as a pair of floats, a
diff --git a/pyspike/spike_sync.py b/pyspike/spike_sync.py
index 50bb98a..dfa896a 100644
--- a/pyspike/spike_sync.py
+++ b/pyspike/spike_sync.py
@@ -165,7 +165,7 @@ def _spike_sync_values(spike_train1, spike_train2, interval, max_tau, **kwargs):
 # spike_sync
 ############################################################
 def spike_sync(*args, **kwargs):
-    """ Computes the spike synchronization value of the given spike
+    r""" Computes the spike synchronization value of the given spike
     trains. The spike synchronization value is the computed as the total number
     of coincidences divided by the total number of spikes: