问题
To use guava Table
and Multiset
in scala? are there already different concenpts in scala instead of importing guava library for this usage?
回答1:
You could use Map[(R, C), V]
instead of Table<R, C, V>
and Map[T, Int]
instead of Multiset<T>
. You could also add helper methods to Map[T, Int]
like this:
implicit class Multiset[T](val m: Map[T, Int]) extends AnyVal {
def setAdd(e: T, i: Int = 1) = {
val cnt = m.getOrElse(e, 0) + i
if (cnt <= 0) m - e
else m.updated(e, cnt)
}
def setRemove(e: T, i: Int = 1) = setAdd(e, -i)
def count(e: T) = m.getOrElse(e, 0)
}
val m = Map('a -> 5)
m setAdd 'a
// Map('a -> 6)
m setAdd 'b
// Map('a -> 5, 'b -> 1)
m setAdd ('b, 10)
// Map('a -> 5, 'b -> 10)
m setRemove 'a
// Map('a -> 4)
m setRemove ('a, 6)
// Map()
m count 'b
// 0
(m setAdd 'a) count 'a
// 6
回答2:
This is a first naive implementation using Map[(R, C), V]
as a delegated collection.
rows
and columns
are used as indexes for the m: Map
.
package utils.collections
import utils.collections.Table.Cell
class Table[R, C, V](val m: Map[(R, C), V], val rows: Map[R, List[(R, C)]], val columns: Map[C, List[(R, C)]]) {
def containsValue(value: V): Boolean = m.values.exists(_.equals(value))
def values(): List[V] = m.values.toList
def get(rowKey: R, columnKey: C): Option[V] = m.get(rowKey, columnKey)
def apply(rowKey: R, columnKey: C): V = m.apply((rowKey, columnKey))
def cellSet(): Set[Cell[R, C, V]] = m.map { case ((r, c), v) => Cell(r, c, v) }.toSet
def contains(rowKey: R, columnKey: C): Boolean = m.contains((rowKey, columnKey))
def put(rowKey: R, columnKey: C, value: V): Table[R, C, V] = {
val keys: (R, C) = (rowKey, columnKey)
new Table(
m = m + ((keys, value)),
rows = rows + ((rowKey, keys::rows.getOrElse(rowKey, List.empty))),
columns = columns + ((columnKey, keys::columns.getOrElse(columnKey, List.empty)))
)
}
def putAll(table: Table[_ <: R, _ <: C, _ <: V]): Table[R, C, V] = Table(m.++(xs = table.m))
def remove(rowKey: R, columnKey: C): Table[R, C, V] = {
val keys: (R, C) = (rowKey, columnKey)
val updatedRows: Map[R, List[(R, C)]] = rows.get(rowKey) match {
case Some(keysWithRow) if keysWithRow.diff(List(keys)).nonEmpty => rows + ((rowKey, keysWithRow.diff(List(keys))))
case _ => rows - rowKey
}
val updatedColumns: Map[C, List[(R, C)]] = columns.get(columnKey) match {
case Some(keysWithColumn) if keysWithColumn.diff(List(keys)).nonEmpty => columns + ((columnKey, keysWithColumn.diff(List(keys))))
case _ => columns - columnKey
}
new Table(
m = m - keys,
rows = updatedRows,
columns = updatedColumns
)
}
def row(rowKey: R): Map[C, V] = m.filterKeys(k => rows.get(rowKey).exists(_.equals(k))).map { case ((_, c), v) => (c, v) }
def containsRow(rowKey: R): Boolean = rows.exists(_.equals(rowKey))
def rowMap(): Map[R, Map[C, V]] = m.groupBy { case ((r, _), _) => r }.map { case (r, subMap) => (r, subMap.map { case ((_, c), v) => (c, v) }) }
def rowKeySet(): Set[R] = rows.keySet
def column(columnKey: C): Map[R, V] = m.filterKeys(k => columns.get(columnKey).exists(_.equals(k))).map { case ((r, _), v) => (r, v) }
def containsColumn(columnKey: C): Boolean = columns.exists(_.equals(columnKey))
def columnMap(): Map[C, Map[R, V]] = m.groupBy { case ((_, c), _) => c }.map { case (c, subMap) => (c, subMap.map { case ((r, _), v) => (r, v) }) }
def columnKeySet(): Set[C] = columns.keySet
def size(): Int = m.size
def isEmpty: Boolean = m.isEmpty
}
object Table {
case class Cell[R, C, V](rowKey: R, columnKey: C, value: V)
def empty[R, C, V] = new Table[R, C, V](Map.empty, Map.empty, Map.empty)
def apply[R, C, V](m: Map[(R, C), V]): Table[R, C, V] = {
val rows: Map[R, List[(R, C)]] = m.keys.groupBy { case (r, c) => r }.map { case (r, keys) => r -> keys.toList }
val columns: Map[C, List[(R, C)]] = m.keys.groupBy { case (r, c) => c }.map { case (c, keys) => c -> keys.toList }
new Table[R, C, V](m, rows, columns)
}
}
来源:https://stackoverflow.com/questions/21112276/is-there-a-scala-replacement-for-guava-multiset-and-table-concepts