55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import numpy as np
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from pyspark.pandas.spark import functions as SF
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from pyspark.pandas.utils import spark_column_equals
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from pyspark.sql import functions as F
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from pyspark.sql.types import (
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ByteType,
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FloatType,
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IntegerType,
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LongType,
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)
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from pyspark.testing.pandasutils import PandasOnSparkTestCase
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class SparkFunctionsTests(PandasOnSparkTestCase):
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def test_lit(self):
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self.assertTrue(spark_column_equals(SF.lit(np.int64(1)), F.lit(1).astype(LongType())))
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self.assertTrue(spark_column_equals(SF.lit(np.int32(1)), F.lit(1).astype(IntegerType())))
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self.assertTrue(spark_column_equals(SF.lit(np.int8(1)), F.lit(1).astype(ByteType())))
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self.assertTrue(spark_column_equals(SF.lit(np.byte(1)), F.lit(1).astype(ByteType())))
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self.assertTrue(
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spark_column_equals(SF.lit(np.float32(1)), F.lit(float(1)).astype(FloatType()))
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)
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self.assertTrue(spark_column_equals(SF.lit(1), F.lit(1)))
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if __name__ == "__main__":
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import unittest
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from pyspark.pandas.tests.test_spark_functions import * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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