# # 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 # limitations under the License. # import numpy as np from pyspark.pandas.spark import functions as SF from pyspark.pandas.utils import spark_column_equals from pyspark.sql import functions as F from pyspark.sql.types import ( ByteType, FloatType, IntegerType, LongType, ) from pyspark.testing.pandasutils import PandasOnSparkTestCase class SparkFunctionsTests(PandasOnSparkTestCase): def test_lit(self): self.assertTrue(spark_column_equals(SF.lit(np.int64(1)), F.lit(1).astype(LongType()))) self.assertTrue(spark_column_equals(SF.lit(np.int32(1)), F.lit(1).astype(IntegerType()))) self.assertTrue(spark_column_equals(SF.lit(np.int8(1)), F.lit(1).astype(ByteType()))) self.assertTrue(spark_column_equals(SF.lit(np.byte(1)), F.lit(1).astype(ByteType()))) self.assertTrue( spark_column_equals(SF.lit(np.float32(1)), F.lit(float(1)).astype(FloatType())) ) self.assertTrue(spark_column_equals(SF.lit(1), F.lit(1))) if __name__ == "__main__": import unittest from pyspark.pandas.tests.test_spark_functions import * # noqa: F401 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)