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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.catalyst.util
/**
* Build a map with String type of key, and it also supports either key case
* sensitive or insensitive.
*/
object StringKeyHashMap {
def apply[T](caseSensitive: Boolean): StringKeyHashMap[T] = caseSensitive match {
case false => new StringKeyHashMap[T](_.toLowerCase)
case true => new StringKeyHashMap[T](identity)
}
}
class StringKeyHashMap[T](normalizer: (String) => String) {
private val base = new collection.mutable.HashMap[String, T]()
def apply(key: String): T = base(normalizer(key))
def get(key: String): Option[T] = base.get(normalizer(key))
def put(key: String, value: T): Option[T] = base.put(normalizer(key), value)
def remove(key: String): Option[T] = base.remove(normalizer(key))
def iterator: Iterator[(String, T)] = base.toIterator
def clear(): Unit = base.clear()
}
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