Fix test_cast_string_date_valid_format generating year 0

Signed-off-by: Jason Lowe <[email protected]>

integration_tests/src/main/python/cast_test.py

@@ -61,12 +61,11 @@ def test_cast_nested(data_gen, to_type):
     assert_gpu_and_cpu_are_equal_collect(
             lambda spark : unary_op_df(spark, data_gen).select(f.col('a').cast(to_type)))
 
-@datagen_overrides(seed=0, reason="https://github.com/NVIDIA/spark-rapids/issues/9781")
 def test_cast_string_date_valid_format():
     # In Spark 3.2.0+ the valid format changed, and we cannot support all of the format.
     # This provides values that are valid in all of those formats.
     assert_gpu_and_cpu_are_equal_collect(
-            lambda spark : unary_op_df(spark, StringGen('[0-9]{1,4}-[0-9]{1,2}-[0-9]{1,2}')).select(f.col('a').cast(DateType())),
+            lambda spark : unary_op_df(spark, StringGen('[0-9]{0,3}[1-9]-[0-9]{1,2}-[0-9]{1,2}')).select(f.col('a').cast(DateType())),
             conf = {'spark.rapids.sql.hasExtendedYearValues': 'false'})
 
 invalid_values_string_to_date = ['200', ' 1970A', '1970 A', '1970T',  # not conform to "yyyy" after trim