Force datagen_seed for test_ceil_scale_zero and test_decimal_round (#…

…9848)

Signed-off-by: Haoyang Li <[email protected]>

integration_tests/src/main/python/arithmetic_ops_test.py

@@ -606,6 +606,7 @@ def test_ceil(data_gen):
     assert_gpu_and_cpu_are_equal_collect(
             lambda spark : unary_op_df(spark, data_gen).selectExpr('ceil(a)'))
 
+@datagen_overrides(seed=0, reason='https://github.com/NVIDIA/spark-rapids/issues/9846')
 @pytest.mark.skipif(is_before_spark_330(), reason='scale parameter in Ceil function is not supported before Spark 3.3.0')
 @pytest.mark.parametrize('data_gen', double_n_long_gens + _arith_decimal_gens_no_neg_scale, ids=idfn)
 def test_ceil_scale_zero(data_gen):
@@ -693,6 +694,7 @@ def test_decimal_bround(data_gen):
 
 @incompat
 @approximate_float
+@datagen_overrides(seed=0, reason="https://github.com/NVIDIA/spark-rapids/issues/9847")
 @pytest.mark.parametrize('data_gen', _arith_data_gens_for_round, ids=idfn)
 def test_decimal_round(data_gen):
     assert_gpu_and_cpu_are_equal_collect(