diff --git a/src/tranquilo/handle_infinity.py b/src/tranquilo/handle_infinity.py
index c250b64..fd594a3 100644
--- a/src/tranquilo/handle_infinity.py
+++ b/src/tranquilo/handle_infinity.py
@@ -33,7 +33,7 @@ def clip_relative(fvecs):
 
     # Due to the initial value of the masked min and max, the sign of the diff can
     # be negative if all values are infinite. In that case we want to switch the
-    # signe of _diff, _mins and _maxs.
+    # sign of _diff, _mins and _maxs.
     _signs = np.sign(_diff)
     _diff *= _signs
     _maxs *= _signs
diff --git a/src/tranquilo/rho_noise.py b/src/tranquilo/rho_noise.py
index e9d76e4..eeea48e 100644
--- a/src/tranquilo/rho_noise.py
+++ b/src/tranquilo/rho_noise.py
@@ -15,7 +15,8 @@ def simulate_rho_noise(
     rng,
     options,
 ):
-    """Simulate a rho that would obtain on average if there is no approximation error.
+    """Simulate a rho that we would obtain on average if there is no approximation
+    error.
 
     This can be used to adjust the sample size in the presence of noise.
 
diff --git a/tests/test_fit_models.py b/tests/test_fit_models.py
index 9408ee5..83d1e0d 100644
--- a/tests/test_fit_models.py
+++ b/tests/test_fit_models.py
@@ -94,14 +94,14 @@ def test_fit_against_truth_quadratic(fitter, quadratic_case):
 @pytest.mark.parametrize("model", ["ols", "ridge", "tranquilo"])
 def test_fit_ols_against_gradient(model, quadratic_case):
     options = {"l2_penalty_square": 0}
-    fit_ols = get_fitter(
+    fitter = get_fitter(
         model,
         options,
         model_type="quadratic",
         residualize=False,
         infinity_handling="relative",
     )
-    got = fit_ols(
+    got = fitter(
         quadratic_case["x"],
         quadratic_case["y"],
         region=Region(center=np.zeros(4), radius=1.0),