我正在尝试使用Breeze Linear Algebra软件包(https://github.com/scalanlp/breeze)和我自己的代表GF2字段的数据类型来实现Humming编码。到目前为止,我成功地实现了我的GF2:
package humming
trait GF2 {
def + (that: GF2): GF2
def * (that: GF2): GF2
def / (that: GF2) = that match {
case Zero => throw new IllegalArgumentException("Div by 0")
case _ => this
}
}
object Zero extends GF2 {
override def toString = "Zero"
def + (that: GF2) = that
def * (that: GF2) = this
}
object One extends GF2 {
override def toString = "One"
def + (that: GF2) = that match { case One => Zero ; case _ => this }
def * (that: GF2) = that match { case One => this ; case _ => that }
}
和需要的类型类来创建GF2值矩阵:
import breeze.linalg._
import breeze.numerics._
import breeze.storage._
import scala.reflect._
import breeze.math._
import humming._
implicit object GF2DefaultArrayValue extends DefaultArrayValue[GF2] {
override def value = Zero
}
implicit object GF2Semiring extends Semiring[GF2] {
def defaultArrayValue = GF2DefaultArrayValue
def manifest = classTag[GF2]
def zero = Zero
def one = One
def ==(a: GF2, b: GF2) = a == b
def !=(a: GF2, b: GF2) = a != b
def +(a: GF2, b: GF2) = a + b
def *(a: GF2, b: GF2) = a * b
}
val a = DenseMatrix.eye[GF2](5)
但是当我尝试向自身添加矩阵时,我收到以下错误:
a + a
// could not find implicit value for parameter op:
// breeze.linalg.operators.BinaryOp[breeze.linalg.DenseMatrix[humming.GF2],
// breeze.linalg.DenseMatrix[humming.GF2],breeze.linalg.operators.OpAdd,That]
此时我被卡住了,因为我不太明白我现在应该实现什么类型的类。看breeze.linalg.operators
并没什么帮助。所以问题是我应该怎么做才能将我的GF2与Breeze结合起来,以便支持所有矩阵/向量操作?
==============
上述问题在0.6版本中解决了
但是,我仍然无法通过向量或值乘以矩阵:
val a = DenseMatrix.eye[GF2](5)
val b = DenseVector.ones[GF2](5)
a + a // OK
a * b
// Could not find an implicit implementation for this UFunc with arguments
// breeze.linalg.DenseMatrix[humming.GF2], breeze.linalg.DenseVector[humming.GF2]
a + One
// Could not find an implicit implementation for this UFunc with arguments
// breeze.linalg.DenseMatrix[humming.GF2], humming.One.type
我想我必须提供UFunc
实施。它应该是什么样的?
答案 0 :(得分:4)
这适用于Breeze的最新快照。我本周末将发布0.6。
scala> val a = DenseMatrix.eye[GF2](5)
a: breeze.linalg.DenseMatrix[X.GF2] =
One Zero Zero Zero Zero
Zero One Zero Zero Zero
Zero Zero One Zero Zero
Zero Zero Zero One Zero
Zero Zero Zero Zero One
scala> a + a
res0: breeze.linalg.DenseMatrix[X.GF2] =
Zero Zero Zero Zero Zero
Zero Zero Zero Zero Zero
Zero Zero Zero Zero Zero
Zero Zero Zero Zero Zero
Zero Zero Zero Zero Zero