From 36c979d1d36b1dda49ce705b1392cd5cafa86902 Mon Sep 17 00:00:00 2001
From: Anne Archibald <peridot.faceted@gmail.com>
Date: Thu, 2 Feb 2023 20:00:02 +0000
Subject: [PATCH] Fix to work with flake8 6.0.0 (#335)

Co-authored-by: Anne Archibald <Anne.Archibald@nanograv.org>
---
 .flake8                       |  9 ++++++---
 tests/test_gp_coefficients.py | 16 ++++++++--------
 2 files changed, 14 insertions(+), 11 deletions(-)

diff --git a/.flake8 b/.flake8
index 06e7f1e7..42339f9c 100644
--- a/.flake8
+++ b/.flake8
@@ -3,9 +3,12 @@ max-line-length = 120
 max-complexity = 45
 ignore =
   E203
-  W503      # line break before binary operator; conflicts with black
-  E722      # bare except ok
-  E731      # lambda expressions ok
+  # line break before binary operator; conflicts with black
+  W503
+  # bare except ok      
+  E722
+  # lambda expressions ok      
+  E731      
 exclude =
     .git
     .tox
diff --git a/tests/test_gp_coefficients.py b/tests/test_gp_coefficients.py
index 06cf2434..ccd1f97d 100644
--- a/tests/test_gp_coefficients.py
+++ b/tests/test_gp_coefficients.py
@@ -300,8 +300,8 @@ def test_conditional_gp(self):
 
         # build index for the global coefficient vector
         idx, ntot = {}, 0
-        for l, v in cmean.items():
-            idx[l] = slice(ntot, ntot + len(v))
+        for c_name, v in cmean.items():
+            idx[c_name] = slice(ntot, ntot + len(v))
             ntot = ntot + len(v)
 
         # repeat the computation using the common-signal formalism
@@ -318,8 +318,8 @@ def test_conditional_gp(self):
 
         # check mean values
         msg = "Conditional GP coefficient value does not match"
-        for l, v in cmean.items():
-            assert np.allclose(mn[idx[l]], v, atol=1e-4, rtol=1e-4), msg
+        for c_name, v in cmean.items():
+            assert np.allclose(mn[idx[c_name]], v, atol=1e-4, rtol=1e-4), msg
 
         # check variances
         par = "B1937+21_linear_timing_model_coefficients"
@@ -360,8 +360,8 @@ def test_conditional_gp(self):
         cmean = c.get_mean_coefficients(p0)
 
         idx, ntot = {}, 0
-        for l, v in cmean.items():
-            idx[l] = slice(ntot, ntot + len(v))
+        for c_name, v in cmean.items():
+            idx[c_name] = slice(ntot, ntot + len(v))
             ntot = ntot + len(v)
 
         TNrs = pta.get_TNr(p0)
@@ -375,8 +375,8 @@ def test_conditional_gp(self):
         mn = ch(TNr)
 
         msg = "Conditional GP coefficient value does not match for common GP"
-        for l, v in cmean.items():
-            assert np.allclose(mn[idx[l]], v)
+        for c_name, v in cmean.items():
+            assert np.allclose(mn[idx[c_name]], v)
 
 
 class TestGPCoefficientsPint(TestGPCoefficients):