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/*
* 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.
*/
package org.apache.spark.sql.types
/**
* Utility functions for working with DataTypes in tests.
*/
object DataTypeTestUtils {
/**
* Instances of all [[IntegralType]]s.
*/
val integralType: Set[IntegralType] = Set(
ByteType, ShortType, IntegerType, LongType
)
/**
* Instances of all [[FractionalType]]s, including both fixed- and unlimited-precision
* decimal types.
*/
val fractionalTypes: Set[FractionalType] = Set(
DecimalType(precisionInfo = None),
DecimalType(2, 1),
DoubleType,
FloatType
)
/**
* Instances of all [[NumericType]]s.
*/
val numericTypes: Set[NumericType] = integralType ++ fractionalTypes
/**
* Instances of all [[AtomicType]]s.
*/
val atomicTypes: Set[DataType] = numericTypes ++ Set(
BinaryType,
BooleanType,
DateType,
StringType,
TimestampType
)
/**
* Instances of [[ArrayType]] for all [[AtomicType]]s. Arrays of these types may contain null.
*/
val atomicArrayTypes: Set[ArrayType] = atomicTypes.map(ArrayType(_, containsNull = true))
}
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