Fix line length errors in test_explode.py to pass pre-commit checks

Author: Narendersingh007

pandas/tests/series/methods/test_explode.py

@@ -176,16 +176,27 @@ def test_explode_pyarrow_non_list_type(ignore_index):
     expected = pd.Series([1, 2, 3], dtype="int64[pyarrow]", index=[0, 1, 2])
     tm.assert_series_equal(result, expected)
 
+
 def test_explode_preserves_datetime_unit():
     # Create datetime64[ms] array manually
-    dt64_ms = np.array(["2020-01-01T00:00:00.000", "2020-01-01T01:00:00.000", "2020-01-01T02:00:00.000"], dtype="datetime64[ms]")
+    dt64_ms = np.array(
+        [
+            "2020-01-01T00:00:00.000",
+            "2020-01-01T01:00:00.000",
+            "2020-01-01T02:00:00.000",
+        ],
+        dtype="datetime64[ms]",
+    )
     s = pd.Series([dt64_ms])
 
     # Explode the Series
     result = s.explode()
 
     # Ensure the dtype (including unit) is preserved
-    assert result.dtype == dt64_ms.dtype, f"Expected dtype {dt64_ms.dtype}, got {result.dtype}"
+    assert result.dtype == dt64_ms.dtype, (
+        f"Expected dtype {dt64_ms.dtype}, got {result.dtype}"
+    )
+
 
 def test_single_column_explode_preserves_datetime_unit():
     # Use freq in ms since unit='ms'
@@ -194,10 +205,11 @@ def test_single_column_explode_preserves_datetime_unit():
     result = s.explode()
     assert result.dtype == rng.dtype
 
+
 def test_multi_column_explode_preserves_datetime_unit():
     rng1 = pd.date_range("2020-01-01", periods=2, freq="3600000ms", unit="ms")
     rng2 = pd.date_range("2020-01-01", periods=2, freq="3600000ms", unit="ms")
     df = pd.DataFrame({"A": [rng1], "B": [rng2]})
     result = df.explode(["A", "B"])
     assert result["A"].dtype == rng1.dtype
-    assert result["B"].dtype == rng2.dtype
+    assert result["B"].dtype == rng2.dtype