diff --git a/README.md b/README.md
index b4610e9..cdb2781 100644
--- a/README.md
+++ b/README.md
@@ -292,6 +292,8 @@ For developing `cutde`, clone the repo and set up your conda environment based o
 conda env create
 ```
 
+Then, `pip install -e .`.
+
 Next, for developing on a GPU, please install either `pycuda` or `pyopencl` as instructed in the Installation section above.
 
 Then, you should re-generate the baseline test data derived from [the MATLAB code from Mehdi Nikhoo](https://volcanodeformation.com/software). To do this, first install `octave`. On Ubuntu, this is just:
diff --git a/tests/py_aca.py b/tests/py_aca.py
index f2c664c..acc6964 100644
--- a/tests/py_aca.py
+++ b/tests/py_aca.py
@@ -2,6 +2,7 @@
 This Python ACA implementation is included here in order to help test the
 OpenCL/CUDA implementation in cutde.
 """
+
 import numpy as np
 
 
@@ -184,9 +185,9 @@ def reset_reference_col(Jref):
         if verbose:
             print(
                 f"term={k}, "
-                f"pivot row={Istar:4d}, pivot col={Jstar:4d}, "
-                f"step size={step_size:1.3e}, "
-                f"tolerance={eps:1.3e}"
+                f"pivot row={Istar: 4d}, pivot col={Jstar: 4d}, "
+                f"step size={step_size: 1.3e}, "
+                f"tolerance={eps: 1.3e}"
             )
 
         # The convergence criteria will simply be whether the Frobenius norm of the