#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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#

import os
import unittest

from pyspark.sql import SparkSession
from pyspark.testing.connectutils import should_test_connect, connect_requirement_message
from pyspark.testing.utils import have_torcheval, torcheval_requirement_message

if should_test_connect:
    from pyspark.ml.tests.connect.test_legacy_mode_evaluation import EvaluationTestsMixin

    @unittest.skipIf(
        not should_test_connect or not have_torcheval,
        connect_requirement_message or torcheval_requirement_message,
    )
    class EvaluationTestsOnConnect(EvaluationTestsMixin, unittest.TestCase):
        def setUp(self) -> None:
            self.spark = SparkSession.builder.remote(
                os.environ.get("SPARK_CONNECT_TESTING_REMOTE", "local[2]")
            ).getOrCreate()

        def tearDown(self) -> None:
            self.spark.stop()


if __name__ == "__main__":
    from pyspark.ml.tests.connect.test_connect_evaluation import *  # noqa: F401,F403

    try:
        import xmlrunner  # type: ignore[import]

        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
    except ImportError:
        testRunner = None
    unittest.main(testRunner=testRunner, verbosity=2)
