[BUG] test_cast_string_date_valid_format fails on DATAGEN_SEED=1700250017

[gerashegalov]

Describe the bug
test_cast_string_date_valid_format fails

    def fromInternal(self, v):
        if v is not None:
>           return datetime.date.fromordinal(v + self.EPOCH_ORDINAL)
          ValueError: ordinal must be >= 1

Local Repro

SPARK_HOME=~/dist/spark-3.3.0-bin-hadoop3  \
SPARK_RAPIDS_TEST_DATAGEN_SEED=1700250017 \
./integration_tests/run_pyspark_from_build.sh -k test_cast_string_date_valid_format

Environment details (please complete the following information)
AWS DBR 10.4

ShimLoader: Complete Spark build info: 3.2.1-databricks, https://git-wip-us.apache.org/repos/asf/spark.git, {branch}, 0000000000000000000000000000000000000000, <unknown>
NFO ShimLoader: Scala version: version 2.12.14

Additional context
N/A

[gerashegalov]

premerge is affected too https://github.com/NVIDIA/spark-rapids/actions/runs/6909207247

[jlowe]

The problem is triggered when the string generator emits a value that has only zeros for the year but also has a valid month and day ordinal. In this case, the offending string was 0000-2-05. Spark handles this properly in the JVM, but when pyspark tries to marshal the date integral value into a Python datetime it throws an error since datetime doesn't support dates before year 1.