From 5c9a521c295ef136f5a5227af1e762efa7ecdb4a Mon Sep 17 00:00:00 2001
From: Fabian Joswig <fabian.joswig@ed.ac.uk>
Date: Wed, 8 Dec 2021 19:54:03 +0000
Subject: [PATCH 1/3] ci: scheduled pytest workflow once a day.

---
 .github/workflows/pytest.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 3c30013f..db0b8de1 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -6,6 +6,8 @@ on:
       - master
       - develop
   pull_request:
+  schedule:
+    - cron: '0 4 * * *'
 
 jobs:
   pytest:

From 083247389b2d6633785d330b84f3408c632cee88 Mon Sep 17 00:00:00 2001
From: Fabian Joswig <fabian.joswig@ed.ac.uk>
Date: Wed, 8 Dec 2021 22:33:08 +0000
Subject: [PATCH 2/3] fix: bug occurring when Corr.fit is called without fit
 range fixed

---
 pyerrors/correlators.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyerrors/correlators.py b/pyerrors/correlators.py
index a63a2b49..cdf4a339 100644
--- a/pyerrors/correlators.py
+++ b/pyerrors/correlators.py
@@ -443,7 +443,7 @@ class Corr:
             if self.prange:
                 fitrange = self.prange
             else:
-                fitrange = [0, self.T]
+                fitrange = [0, self.T - 1]
 
         xs = [x for x in range(fitrange[0], fitrange[1] + 1) if not self.content[x] is None]
         ys = [self.content[x][0] for x in range(fitrange[0], fitrange[1] + 1) if not self.content[x] is None]

From a9e80989fe4283367e730c00b5acae09996d6abd Mon Sep 17 00:00:00 2001
From: Fabian Joswig <fabian.joswig@ed.ac.uk>
Date: Wed, 8 Dec 2021 22:37:38 +0000
Subject: [PATCH 3/3] test: test for Corr.fit added

---
 tests/correlators_test.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/tests/correlators_test.py b/tests/correlators_test.py
index d2bb6a2c..f27bba54 100644
--- a/tests/correlators_test.py
+++ b/tests/correlators_test.py
@@ -79,6 +79,18 @@ def test_T_symmetry():
         T_symmetric = my_corr.T_symmetry(my_corr)
 
 
+def test_fit_correlator():
+    my_corr = pe.correlators.Corr([pe.pseudo_Obs(1.01324, 0.05, 't'), pe.pseudo_Obs(2.042345, 0.0004, 't')])
+
+    def f(a, x):
+        y = a[0] + a[1] * x
+        return y
+
+    fit_res = my_corr.fit(f)
+    assert fit_res[0] == my_corr[0]
+    assert fit_res[1] == my_corr[1] - my_corr[0]
+
+
 def test_utility():
     corr_content = []
     for t in range(8):