diff --git a/pyfixest/experimental/did.py b/pyfixest/experimental/did.py
index cbc9bdc1..1f17fa58 100644
--- a/pyfixest/experimental/did.py
+++ b/pyfixest/experimental/did.py
@@ -14,6 +14,7 @@
 
 
 
+
 def event_study(data, yname, idname, tname, gname, xfml = None, estimator = "twfe", att = True, cluster = "idname"):
 
     """
@@ -337,6 +338,7 @@ def _did2s_estimate(data: pd.DataFrame, yname : str, _first_stage: str, _second_
         # estimate first stage
         fit1 = feols(fml = _first_stage_full, data = _not_yet_treated_data, vcov = "iid") # iid as it might be faster than CRV
 
+
         # obtain estimated fixed effects
         fit1.fixef()
 
diff --git a/readme.md b/readme.md
index 99db40bf..e75e2f8e 100644
--- a/readme.md
+++ b/readme.md
@@ -17,7 +17,7 @@ At the moment, `PyFixest` supports
 - Several Robust and Cluster Robust Variance-Covariance Types
 - Wild Cluster Bootstrap Inference (via [wildboottest](https://github.com/s3alfisc/wildboottest))
 - Support for estimators of the "new" Difference-in-Difference literature is work in progress. `PyFixest` currently provides an
-  experimentla implementation of Gardner's Did2s estimtator (via the `pyfixest.experimental.did` module, only ATT estimation).
+  experimental implementation of Gardner's Did2s estimtator (via the `pyfixest.experimental.did` module, only ATT estimation).
 
 ## Installation
 
diff --git a/tests/test_did.py b/tests/test_did.py
index ccbb23b6..48b5d14b 100644
--- a/tests/test_did.py
+++ b/tests/test_did.py
@@ -20,6 +20,7 @@ def test_event_study():
     Test the event_study() function.
     """
 
+
     df_het = pd.read_csv("pyfixest/experimental/data/df_het.csv")
 
     fit_did2s = event_study(
@@ -86,4 +87,3 @@ def test_did2s():
         )
 
 
-