我正在尝试使用 Breeze 线性代数包 ( 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,我已经成功地实现了我的 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 }
}
以及创建 GF2 值矩阵所需的类型类:
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)
但是当我尝试将矩阵添加到自身时,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]
在这一点上,我被困住了,因为我不太明白我现在应该实现什么类型的类。看着breeze.linalg.operators
并没有多大帮助。所以问题是我应该怎么做才能将我的 GF2 与 Breeze 结合起来,以支持所有矩阵/向量运算?
==============
0.6版解决了上面的问题
但是,我仍然无法将矩阵乘以向量或乘以值:
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
我想我必须提供一个UFunc
实现。它应该是什么样子?