shapeless: Generic programming for Scala | This room deprecated in favour of #shapeless on the Typelevel Discord: https://discord.gg/bSQBZA3Ced
kittens 2.3.0 by having the "right" implicit in scope only. Not sure if this is just a hack :)I updated the scastie: https://scastie.scala-lang.org/H8zcJSIkT0mMvK6kSoutkw (sorry, let me know if you need the original version)
Typeable for cats.NonEmptyMap. In shapeless 2 I have something like: // Adapted from `shapeless.Typeable.genMapTypeable`.
implicit def typeableForNonEmptyMap[K, V](
implicit cM: ClassTag[NonEmptyMap[_, _]],
tK: Typeable[K],
tV: Typeable[V]
): Typeable[NonEmptyMap[K, V]] = new Typeable[NonEmptyMap[K, V]] {
def cast(t: Any): Option[NonEmptyMap[K, V]] =
if (t == null) None
else if (cM.runtimeClass isAssignableFrom t.getClass) {
val m = t.asInstanceOf[NonEmptyMap[Any, Any]]
if (m.toSortedMap.forall(_.cast[(K, V)].isDefined)) Some(t.asInstanceOf[NonEmptyMap[K, V]]) else None
} else None
def describe = s"${cM.runtimeClass.getSimpleName}[${tK.describe}, ${tV.describe}]"
}
}[error] -- Error: /Users/ahjohannessen/Development/Work/subsidy-support/marshal/src/test/scala-3/support/marshal/typeables.scala:18:51
[error] 18 | val cm = m.cast[NonEmptyMap[Int, String]]
[error] | ^
[error] |No Typeable for parametrized type cats.data.NonEmptyMapImpl.Type[scala.Int, scala.Predef.String]
[error] | This location contains code that was inlined from typeables.scala:18
[error] | This location contains code that was inlined from typeable.scala:244
object foo extends ProductArgs {
def applyProduct[L <: HList](l: L)(implicit LUBC: LUBConstraint[L, Bar]): Job[L] = Job(l)
}
When I'm trying to start a spark-shell(spark 3.0.1) with a custom jar I'm getting this error
java.lang.NoSuchMethodError: 'shapeless.DefaultSymbolicLabelling shapeless.DefaultSymbolicLabelling$.instance(shapeless.HList)'
at com.cognite.sdk.scala.v1.GenericClient$anon$lazy$macro$5$1.inst$macro$1$lzycompute(Client.scala:202)
at com.cognite.sdk.scala.v1.GenericClient$anon$lazy$macro$5$1.inst$macro$1(Client.scala:202)
at com.cognite.sdk.scala.v1.GenericClient$.<init>(Client.scala:202)
at com.cognite.sdk.scala.v1.GenericClient$.<clinit>(Client.scala)
at cognite.spark.v1.DefaultSource$.$anonfun$getProjectFromAuth$1(DefaultSource.scala:393)
at cats.effect.internals.IORunLoop$.step(IORunLoop.scala:302)
at cats.effect.IO.unsafeRunTimed(IO.scala:338)
at cats.effect.IO.unsafeRunSync(IO.scala:256)
at cognite.spark.v1.DefaultSource$.getProjectFromAuth(DefaultSource.scala:396)
at cognite.spark.v1.DefaultSource$.$anonfun$parseRelationConfig$4(DefaultSource.scala:315)
at scala.collection.MapLike.getOrElse(MapLike.scala:131)
at scala.collection.MapLike.getOrElse$(MapLike.scala:129)
at org.apache.spark.sql.catalyst.util.CaseInsensitiveMap.getOrElse(CaseInsensitiveMap.scala:30)
at cognite.spark.v1.DefaultSource$.parseRelationConfig(DefaultSource.scala:315)
at cognite.spark.v1.DefaultSource.createRelation(DefaultSource.scala:89)
at cognite.spark.v1.DefaultSource.createRelation(DefaultSource.scala:62)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:344)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:297)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:286)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:286)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:221)I'm using circe 0.14.1 which seems to use shapeless 2.3.6.
MapValues I can't refer to the same field in the repr: https://scastie.scala-lang.org/LMnet/gENLvGZySJSr8Lg8zW4Vsw/7 ?
type ValidatedFormat[T] = ValidatedNec[String, T] and a case class case class C(a: String, b: Int). is there any way to obtain a generic representation of type Repr = ValidatedFormat[String] :: ValidatedFormat[Int] :: shapeless.HNil?
Hi there, I've got some code that isn't working (I assume due to some compiler implicit search depth limitations) and was hoping someone here could identify what might be going wrong.
Basically the code derives a typeclass to convert JSON AST to a domain case class. In the process it looks for annotations and default values on the fields.
The problem is that after about 32 simple fields recordFromJson (second link) stops resolving.
relevant code:
https://github.com/kag0/ninny-json/blob/defaults/ninny/src-2/io/github/kag0/ninny/FromJsonAutoImpl.scala
and
https://github.com/kag0/ninny-json/blob/defaults/ninny/src-2/io/github/kag0/ninny/VersionSpecificFromJsonInstances.scala
:point_up: Edit: Hi there, I've got some code that isn't working (I assume due to some compiler implicit search depth limitations) and was hoping someone here could identify what might be going wrong.
Basically the code derives a typeclass to convert JSON AST to a domain case class.
The problem is that after about 32 simple fields recordFromJson (second link) stops resolving.
relevant code:
https://github.com/kag0/ninny-json/blob/0.4.3/ninny/src-2/io/github/kag0/ninny/FromJsonAutoImpl.scala
and
https://github.com/kag0/ninny-json/blob/0.4.3/ninny/src-2/io/github/kag0/ninny/VersionSpecificFromJsonInstances.scala
import shapeless._, record._, ops.record._, labelled._, syntax.singleton, tag._
i'd love some help, and happy to give more details/explanations/clarifications/etc if needed!
Hello! Learning shapeless and trying to use mapValues with some record but the compiles doesn't find the Mapper / MapValues implicits.
This is the minimal repro with scala 2.13.8 and shapeless 2.3.9
import shapeless._
import shapeless.record._
import shapeless.PolyDefns.~>
import shapeless.syntax.singleton._
object MinimalRepro extends App {
trait Param[A] {
def upperBound: ParamMatcher[A]
}
sealed abstract class ParamMatcher[A]
object ParamMatcher {
case class MatchAny[A]() extends ParamMatcher[A]
}
case class UnboundedParam[A]() extends Param[A] {
override def upperBound: ParamMatcher[A] = ParamMatcher.MatchAny()
}
val stringParam = UnboundedParam[String]()
val intParam = UnboundedParam[Int]()
object getUpperBound extends (Param ~> ParamMatcher) {
override def apply[T](param: Param[T]): ParamMatcher[T] = param.upperBound
}
println(getUpperBound(stringParam)) // OK
println(getUpperBound(intParam)) // OK
println((stringParam :: intParam :: HNil).map(getUpperBound)) // KO
println((("name" ->> stringParam) :: ("retries" ->> intParam) :: HNil).mapValues(getUpperBound)) // KO
}Can you help me with what's wrong with this? Thanks
I'm wondering if shapeless might be able to help me with a new use case. I have an app that passes around function calls.
def functionOne(var1: String, var2: Int, var3: CustomClassThatIsSerializable)
def functionTwo(functionOne)
Inside function two i was wondering if itd be possible to get the input parameters to function1 so i could serialize / capture them using a different library.
def functionTwo(functionOne) mean? This is incorrect syntax. Do you mean call functionTwo(functionOne("abc", 10, CustomClassThatIsSerializable(...))) or higher-order functionTwo in call functionTwo(functionOne)? In the former case I guess you can try to make your functionTwo a macro.
