diff --git a/benchmark/benchmark.py b/benchmark/benchmark.py
index cf68c4c..53549f1 100644
--- a/benchmark/benchmark.py
+++ b/benchmark/benchmark.py
@@ -133,9 +133,7 @@ def source(request):
 
 @pytest.fixture(params=("overhead", "zarr", "tiff", "hdf5"))
 def file_type(request, source):
-
     if request.param == "overhead":
-
         filename, fs = source("1-byte")
 
         class Overhead(Fixture):
@@ -149,7 +147,6 @@ def run(self, chunk_index):
         return Overhead(source)
 
     elif request.param == "zarr":
-
         filename, fs = source(f"{BASE}.ome.zarr")
 
         class Zarr(Fixture):
@@ -167,7 +164,6 @@ def run(self, chunk_index):
         return Zarr(source)
 
     elif request.param == "tiff":
-
         filename, fs = source(f"{BASE}.ome.tiff")
 
         class TIFF(Fixture):
@@ -189,7 +185,6 @@ def run(self, chunk_index):
         return TIFF(source)
 
     elif request.param == "hdf5":
-
         filename, fs = source(f"{BASE}.ims")
 
         class HDF5(Fixture):
@@ -208,12 +203,10 @@ def run(self, chunk_index):
         return HDF5(source)
 
     else:
-
         raise NotImplementedError(request.param)
 
 
 def test_benchmark(file_type, chunk_choice, record_property):
-
     chunk_index, chunk_meta = chunk_choice
     chunk_distance, chunk_record = chunk_meta
 
diff --git a/results/std_mean.py b/results/std_mean.py
index 7c5a3b5..b58d101 100644
--- a/results/std_mean.py
+++ b/results/std_mean.py
@@ -5,7 +5,6 @@
 # source (e.g. http, local, s3)
 
 for csv_file in ["2d_benchmark_data.csv", "3d_benchmark_data.csv"]:
-
     print(csv_file)
 
     df = pandas.read_csv(csv_file)