format

Author: chenkovsky

python/tests/test_functions.py

@@ -790,9 +790,9 @@ def test_hash_functions(df):
     )
     assert result.column(2) == pa.array(
         [
-            b("185F8DB32271FE25F561A6FC938B2E26" "4306EC304EDA518007D1764826381969"),
-            b("78AE647DC5544D227130A0682A51E30B" "C7777FBB6D8A8F17007463A3ECD1D524"),
-            b("BB7208BC9B5D7C04F1236A82A0093A5E" "33F40423D5BA8D4266F7092C3BA43B62"),
+            b("185F8DB32271FE25F561A6FC938B2E264306EC304EDA518007D1764826381969"),
+            b("78AE647DC5544D227130A0682A51E30BC7777FBB6D8A8F17007463A3ECD1D524"),
+            b("BB7208BC9B5D7C04F1236A82A0093A5E33F40423D5BA8D4266F7092C3BA43B62"),
         ]
     )
     assert result.column(3) == pa.array(
@@ -838,16 +838,16 @@ def test_hash_functions(df):
     )
     assert result.column(5) == pa.array(
         [
-            b("F73A5FBF881F89B814871F46E26AD3FA" "37CB2921C5E8561618639015B3CCBB71"),
-            b("B792A0383FB9E7A189EC150686579532" "854E44B71AC394831DAED169BA85CCC5"),
-            b("27988A0E51812297C77A433F63523334" "6AEE29A829DCF4F46E0F58F402C6CFCB"),
+            b("F73A5FBF881F89B814871F46E26AD3FA37CB2921C5E8561618639015B3CCBB71"),
+            b("B792A0383FB9E7A189EC150686579532854E44B71AC394831DAED169BA85CCC5"),
+            b("27988A0E51812297C77A433F635233346AEE29A829DCF4F46E0F58F402C6CFCB"),
         ]
     )
     assert result.column(6) == pa.array(
         [
-            b("FBC2B0516EE8744D293B980779178A35" "08850FDCFE965985782C39601B65794F"),
-            b("BF73D18575A736E4037D45F9E316085B" "86C19BE6363DE6AA789E13DEAACC1C4E"),
-            b("C8D11B9F7237E4034ADBCD2005735F9B" "C4C597C75AD89F4492BEC8F77D15F7EB"),
+            b("FBC2B0516EE8744D293B980779178A3508850FDCFE965985782C39601B65794F"),
+            b("BF73D18575A736E4037D45F9E316085B86C19BE6363DE6AA789E13DEAACC1C4E"),
+            b("C8D11B9F7237E4034ADBCD2005735F9BC4C597C75AD89F4492BEC8F77D15F7EB"),
         ]
     )
     assert result.column(7) == result.column(1)  # SHA-224
@@ -936,6 +936,7 @@ def test_temporal_functions(df):
         [datetime(2023, 9, 7, 5, 6, 14, 523952)] * 3, type=pa.timestamp("us")
     )
 
+
 def test_arrow_cast(df):
     df = df.select(
         # we use `string_literal` to return utf8 instead of `literal` which returns