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Featureful.scala
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Featureful.scala
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package genovese
import scala.deriving.Mirror
import scala.reflect.ClassTag
trait Featureful[T]:
def features: IArray[Feature[?]]
def toFeatures(value: T)(using RuntimeChecks): IArray[NormalisedFloat]
def fromFeatures(fv: IArray[NormalisedFloat]): T
def bimap[B](f: T => B, g: B => T) =
val t = this
new Featureful[B]:
override def features: IArray[Feature[?]] = t.features
def toFeatures(value: B)(using RuntimeChecks): IArray[NormalisedFloat] =
t.toFeatures(g(value))
def fromFeatures(fv: IArray[NormalisedFloat]): B = f(t.fromFeatures(fv))
end Featureful
final case class ConstFeatureful[T](const: T) extends Featureful[T]:
override lazy val features: IArray[Feature[?]] = IArray.empty
override def fromFeatures(fv: IArray[NormalisedFloat]): T = const
override def toFeatures(value: T)(using
RuntimeChecks
): IArray[NormalisedFloat] = IArray.empty
final case class TupleFeatureful[T <: Tuple](values: List[Featureful[?]])
extends Featureful[T]:
override lazy val features: IArray[Feature[?]] =
IArray.from(values.flatMap(_.features))
override def fromFeatures(fv: IArray[NormalisedFloat]): T =
val ab = Array.newBuilder[Any]
var offset = 0
values.foreach: f =>
ab += f.fromFeatures(fv.slice(offset, offset + f.features.length))
offset += f.features.length
Tuple.fromArray(ab.result()).asInstanceOf[T]
end fromFeatures
override def toFeatures(value: T)(using
RuntimeChecks
): IArray[NormalisedFloat] =
val len = features.length
val a = Array.fill(len)(NormalisedFloat.ZERO)
var offset = 0
values
.zip(value.toArray)
.foreach: (f, any) =>
val iv = f.toFeatures(any.asInstanceOf).unsafeArray
System.arraycopy(iv, 0, a, offset, f.features.length)
offset += f.features.length
IArray.unsafeFromArray(a)
end toFeatures
end TupleFeatureful
object Featureful:
def features[T](using f: Featureful[T]) = f.features
def toFeatures[T](value: T)(using f: Featureful[T], rc: RuntimeChecks) =
f.toFeatures(value)
def fromFeatures[T](value: IArray[NormalisedFloat])(using
f: Featureful[T],
rc: RuntimeChecks
) = f.fromFeatures(value)
inline def derived[T](using Mirror.Of[T]) = ${
derivedImpl[T]('{ FieldConfig.None })
}
inline def derive[T](inline config: FieldConfig)(using Mirror.Of[T]) =
${
derivedImpl[T]('config)
}
inline def deriveTuple[T <: Tuple] = ${ derivedTupleImpl[T] }
import scala.quoted.*
private def derivedTupleImpl[T <: Tuple](using Quotes, Type[T]) =
val inst = Expr.ofList(summonInstances[T])
'{ TupleFeatureful[T]($inst) }.asExprOf[Featureful[T]]
private def summonInstances[T: Type](using
Quotes
): List[Expr[Featureful[?]]] =
Type.of[T] match
case '[elem *: elems] =>
'{
compiletime
.summonInline[Featureful[elem]]
.asInstanceOf[Featureful[elem]]
} :: summonInstances[elems]
case '[EmptyTuple] => Nil
private given FromExpr[RuntimeChecks] with
def unapply(expr: Expr[RuntimeChecks])(using
Quotes
): Option[RuntimeChecks] =
expr match
case '{ RuntimeChecks.Full } =>
Some(RuntimeChecks.Full)
case '{ RuntimeChecks.None } =>
Some(RuntimeChecks.None)
case _ => None
end given
private given FromExpr[NormalisedFloat] with
def unapply(expr: Expr[NormalisedFloat])(using
Quotes
): Option[NormalisedFloat] =
expr match
case '{ NormalisedFloat(${ Expr(value) })(using ${ Expr(rc) }) } =>
given RuntimeChecks = rc
Some(NormalisedFloat.apply(value)(using rc))
case _ => None
private given [T: Type]: ToExpr[Feature[T]] with
def apply(feature: Feature[T])(using Quotes): Expr[Feature[T]] =
feature match
case Feature.FloatRange(from, to) =>
'{ Feature.FloatRange(${ Expr(from) }, ${ Expr(to) }) }
case Feature.IntRange(from, to) =>
'{ Feature.IntRange(${ Expr(from) }, ${ Expr(to) }) }
case Feature.StringCategory(alts) =>
'{ Feature.StringCategory(${ Expr(alts) }) }
case Feature.NormalisedFloatRange =>
'{ Feature.NormalisedFloatRange }
case Feature.Bool =>
'{ Feature.Bool }
case Feature.Optional[T](feature) =>
'{ Feature.Optional[T](${ Expr(feature) }) }
case Feature.IntCategory(alts) =>
'{ Feature.IntCategory(${ Expr(alts) }) }
end given
private given FromExpr[Feature[?]] with
def unapply(expr: Expr[Feature[?]])(using Quotes): Option[Feature[?]] =
expr match
// Match the FloatRange case
case '{ Feature.FloatRange(${ Expr(from) }, ${ Expr(to) }) } =>
Some(Feature.FloatRange(from, to).asInstanceOf[Feature[?]])
case '{ Feature.IntRange(${ Expr(from) }, ${ Expr(to) }) } =>
Some(Feature.IntRange(from, to).asInstanceOf[Feature[?]])
case '{ Feature.StringCategory(${ Expr(alts) }) } =>
Some(Feature.StringCategory(alts).asInstanceOf[Feature[?]])
case '{ Feature.IntCategory(${ Expr(alts) }) } =>
Some(Feature.IntCategory(alts).asInstanceOf[Feature[?]])
// // TODO: how do I implement this?
// case '{type t; ${CategSummon[t](alts)} } =>
// Some(Feature.Categorical[t](alts).asInstanceOf[Feature[?]])
// Match the NormalisedFloatRange case
case '{ Feature.NormalisedFloatRange } =>
Some(Feature.NormalisedFloatRange.asInstanceOf[Feature[?]])
// Match the Bool case
case '{ Feature.Bool } =>
Some(Feature.Bool.asInstanceOf[Feature[?]])
// If none of the above patterns match, return None
case _ => None
end unapply
end given
private given FromExpr[FieldConfig] with
def unapply(expr: Expr[FieldConfig])(using Quotes): Option[FieldConfig] =
expr match
// Match the FloatRange case
case '{ FieldConfig(${ Expr(overrides) }) } =>
Some(FieldConfig(overrides))
// If none of the above patterns match, return None
case _ => None
end unapply
end given
private def derivedImpl[T: Type](cfg: Expr[FieldConfig])(using
Quotes
): Expr[Featureful[T]] =
import quoted.*
val ev: Expr[Mirror.Of[T]] = Expr.summon[Mirror.Of[T]].get
import quotes.reflect.*
given fc: FieldConfig =
cfg.valueOrAbort
val configuredNames = fc.overrides.keySet
ev match
case '{
$m: Mirror.SumOf[T] {
type MirroredElemTypes = elementTypes
}
} =>
val ct = Expr.summon[ClassTag[T]].get
val exprs = List.newBuilder[Expr[T]]
def traverse[elementTypes: Type]: Unit =
Type.of[elementTypes] match
case '[elem *: elems] =>
val ev: Expr[Mirror.Of[elem]] =
Expr.summon[Mirror.Of[elem]].getOrElse {
report.errorAndAbort(
s"Could not find a suitable Mirror for ${TypeRepr.of[elem].show}"
)
}
ev match
case '{
$mirror: Mirror.Singleton { type MirroredLabel = label }
} =>
exprs += '{ $mirror.asInstanceOf[T] }
case '{
$mirror: Mirror.SingletonProxy
} =>
exprs += '{ $mirror.value.asInstanceOf[T] }
end match
traverse[elems]
case _ =>
end traverse
traverse[elementTypes]
val values = Expr.ofList(exprs.result())
'{
EnumFeatureful[T](IArray.from($values)(using $ct))
}
case '{
$m: Mirror.ProductOf[T] {
type MirroredElemTypes = elementTypes
type MirroredElemLabels = labels
type MirroredLabel = commandName
}
} =>
val caseClassSymbol = TypeRepr.of[T].typeSymbol
val primaryConstructor = caseClassSymbol.primaryConstructor
val paramSymbols = primaryConstructor.paramSymss.flatten
val fieldNames = paramSymbols.map(_.name)
val unknown = (configuredNames.toSet -- fieldNames.toSet).toList.sorted
if unknown.nonEmpty then
report.errorAndAbort(s"Unknown field(s): ${unknown.mkString(", ")}")
val spans = Expr.ofList(fieldOpts[elementTypes](fieldNames))
val names = Expr(fieldNames)
'{
new Featureful[T]:
private val feats = IArray.from($spans)
private val _featsLen: IArray[Int] =
feats.map(_.features.size)
private val vectorSize = _featsLen.sum
override lazy val features: IArray[Feature[?]] =
IArray.from(feats).flatMap(_.features)
override def fromFeatures(
fv: IArray[NormalisedFloat]
): T =
var offset = 0
val ab = Array.newBuilder[Any]
_featsLen.indices
.foreach: (idx) =>
val len = _featsLen(idx)
val sub = fv.slice(offset, offset + len)
offset += len
ab += feats(idx).fromFeatures(sub)
$m.fromTuple(Tuple.fromArray(ab.result()).asInstanceOf)
end fromFeatures
override def toFeatures(value: T)(using
RuntimeChecks
): IArray[NormalisedFloat] =
val ab = IArray.newBuilder[NormalisedFloat]
ab.sizeHint(vectorSize)
val product = value.asInstanceOf[Product]
product.productIterator.zipWithIndex.foreach: (any, idx) =>
ab.addAll(feats(idx).toFeatures(any.asInstanceOf))
ab.result()
end toFeatures
override def toString(): String = "Featureful(" + $names
.zip(feats)
.map(_ + "=" + _)
.mkString(", ") + ")"
}
end match
end derivedImpl
private def fieldOpts[T: Type](
fieldNames: List[String]
)(using Quotes, FieldConfig): List[Expr[Featureful[?]]] =
(Type.of[T], fieldNames) match
case ('[elem *: elems], head :: rest) =>
val span = constructFeature[elem](head)
span :: fieldOpts[elems](rest)
case other =>
Nil
end fieldOpts
private def constructFeature[E: Type](
name: String
)(using Quotes, FieldConfig): Expr[Featureful[E]] =
import quotes.reflect.*
val hasNested = Implicits.search(TypeRepr.of[Featureful[E]]) match
case res: ImplicitSearchSuccess =>
Some(res.tree.asExprOf[Featureful[E]])
case _ => None
extension [T](e: Expr[Featureful[T]])
def trustMeBro = e.asExprOf[Featureful[E]]
val hasOverride = summon[FieldConfig].overrides.get(name)
Type.of[E] match
case '[Option[t]] =>
val span = constructFeature[t](name)
'{ OptionFeatureful($span) }.trustMeBro
case '[Boolean] =>
single('{ Feature.Bool }).trustMeBro
case '[NormalisedFloat] =>
single('{ Feature.NormalisedFloatRange }).trustMeBro
case '[Float] =>
summon[FieldConfig].overrides.get(name) match
case None =>
report.errorAndAbort(
s"Field config missing for field [$name], which has type Float"
)
case Some(Feature.FloatRange(from, to)) =>
single(Expr(Feature.FloatRange(from, to))).trustMeBro
case Some(other) =>
report.errorAndAbort(
s"Incompatible field config [$other] for field [$name], which has type Float"
)
case _ if hasNested.isDefined =>
hasNested.get
case '[Map[t, g]] =>
report.warning(
s"Field [$name] has type ${TypeRepr.of[Seq[t]].show}, currently genovese cannot handle it. Empty map will be used"
)
'{ ConstFeatureful(Map.empty[t, g]) }.trustMeBro
case '[Seq[t]] =>
report.warning(
s"Field [$name] has type ${TypeRepr.of[Seq[t]].show}, currently genovese cannot generated sequences of random length"
)
val f = constructFeature[t](name)
'{ OptionFeatureful[t]($f).bimap(_.toSeq, _.headOption) }.trustMeBro
case other =>
hasOverride match
case None =>
report.errorAndAbort(
s"Don't know how to turn field [$name] of type [" + TypeRepr
.of(using other)
.show + "] into a feature (or feature vector)"
)
case Some(feat) =>
single[E](Expr(feat.asInstanceOf)).trustMeBro
end match
end constructFeature
private def single[T: Type](f: Expr[Feature[T]])(using
Quotes
): Expr[SingleFeatureful[T]] =
'{ SingleFeatureful($f) }
end Featureful