diff --git a/sed/calibrator/energy.py b/sed/calibrator/energy.py
index 9bb7201e..aebfa3a6 100644
--- a/sed/calibrator/energy.py
+++ b/sed/calibrator/energy.py
@@ -2147,7 +2147,6 @@ def tof2ns(
     x: Union[List[float], np.ndarray],
     tof_binwidth: float,
     tof_binning: int,
-    dtype: type = np.float64,
 ) -> Union[List[float], np.ndarray]:
     """Converts the time-of-flight steps to time-of-flight in nanoseconds.
 
@@ -2162,8 +2161,8 @@ def tof2ns(
     Returns:
         Union[pd.DataFrame, dask.dataframe.DataFrame]: Dataframe with the new column.
     """
-    val = x.astype(dtype) * tof_binwidth * 2**tof_binning
-    return val.astype(dtype)
+    val = x * tof_binwidth * 2**tof_binning
+    return val
 
 
 def apply_energy_offset(
@@ -2201,9 +2200,9 @@ def apply_energy_offset(
         signs = [signs]
     if reductions is None:
         reductions = [None] * len(columns)
-    columns_ = []
-    reductions_ = []
-    to_roll = []
+    columns_: Sequence[str] = []
+    reductions_: Sequence[str] = []
+    to_roll: Sequence[str] = []
 
     for c, r in zip(columns, reductions):
         if r == "rolled":
diff --git a/sed/loader/flash/utils.py b/sed/loader/flash/utils.py
index 15cf9f74..a2bc837a 100644
--- a/sed/loader/flash/utils.py
+++ b/sed/loader/flash/utils.py
@@ -1,3 +1,4 @@
+"""Helper functions for the flash loader."""
 from typing import Union
 
 import dask.dataframe
diff --git a/tests/loader/test_utils.py b/tests/loader/test_utils.py
index af79ed3f..6955ed38 100644
--- a/tests/loader/test_utils.py
+++ b/tests/loader/test_utils.py
@@ -1,3 +1,5 @@
+"""Module tests.loader.test_utils, tests for the sed.load.utils file
+"""
 import dask.dataframe as dd
 import numpy as np
 import pandas as pd
@@ -13,7 +15,8 @@
 
 
 @pytest.fixture
-def input_df():
+def input_df():  # pylint: disable=redefined-outer-name
+    """Fixture for input dataframe"""
     return pd.DataFrame(
         {
             "input_column": [0, 1, 2, 3, 4, 5, 6, 7],
@@ -22,6 +25,7 @@ def input_df():
 
 
 def test_split_channel_bitwise(input_df):
+    """Test split_channel_bitwise function"""
     output_columns = ["output1", "output2"]
     bit_mask = 2
     expected_output = pd.DataFrame(
@@ -37,6 +41,7 @@ def test_split_channel_bitwise(input_df):
 
 
 def test_split_channel_bitwise_raises():
+    """Test split_channel_bitwise function raises"""
     pytest.raises(
         KeyError,
         split_channel_bitwise,
@@ -77,7 +82,7 @@ def test_split_channel_bitwise_raises():
         False,
         [np.int8, np.int16, np.int32],
     )
-    pytest.raises(ValueError, split_channel_bitwise, test_df, "a", ["b", "c"], 3, [np.int8])
+    pytest.raises(ValueError, split_channel_bitwise, test_df, "a", ["b", "c"], 3, False, [np.int8])
     pytest.raises(
         ValueError,
         split_channel_bitwise,