Generation of arbitrary case classes / ADTs with scalacheck and shapeless
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IndexedStateT
from https://github.com/typelevel/cats/blob/master/core/src/main/scala/cats/data/IndexedStateT.scala to encode an input and output state of a transition.
Arbitrary
s ignore other implicits in scope? I haven’t been able to confirm or deny yet but it seems to be the case. For example:case class Foo(bar: Bar)
implicit val arbBar: Arbitrary[Bar] = somePredefinedArbitraryForBar // This is not used
implicit val arbFoo: Arbitrary[Foo] = MkArbitrary[Foo].arbitrary
could not find implicit value for parameter mkArb: org.scalacheck.derive.MkCoproductArbitrary[takt.data.valkyrie.deployables.etl.VAL1081.ValkyrieType]
ava.lang.IllegalArgumentException: requirement failed: Duration is limited to +-(2^63-1)ns (ca. 292 years)
[info] at scala.concurrent.duration.FiniteDuration.<init>(Duration.scala:583)
[info] at scala.concurrent.duration.Duration$.apply(Duration.scala:31)
[info] at scala.concurrent.duration.package$DurationLong$.durationIn$extension(package.scala:48)
[info] at scala.concurrent.duration.package$DurationLong.durationIn(package.scala:48)
import /*the automatic derivation from the library*/
implicit val arbitraryDuration: Arbitrary[Duration] = ...
implicitly[Arbitrary[SomethingThatNeedsDuration]] // this should use arbitraryDuration
Was just about to post practically the same question as above ... I have:
case class Dense[K: Field](layout: Layout, stride: Int)
but if I put an implicit val stride: Arbitrary[Int] = ...
before forAll
, in order to limit the values of stride
, it's not being picked up. It sounds like the same problem as above?
String
field apparently uses Arbitrary.arbString
and that is too generic for my application. Is there a way to customise the generators for a field using the library?
mapN
LabelledGeneric
Hello. I am getting compiler "stackoverflow" when trying to derive generators for scalapb data.
at scala.tools.nsc.typechecker.Implicits$ImplicitSearch.scala$tools$nsc$typechecker$Implicits$ImplicitSearch$$typedImplicit(Implicits.scala:622)
at scala.tools.nsc.typechecker.Implicits$ImplicitSearch$ImplicitComputation.rankImplicits(Implicits.scala:1213)
at scala.tools.nsc.typechecker.Implicits$ImplicitSearch$ImplicitComputation.findBest(Implicits.scala:1248)
at scala.tools.nsc.typechecker.Implicits$ImplicitSearch.searchImplicit(Implicits.scala:1305)
at scala.tools.nsc.typechecker.Implicits$ImplicitSearch.bestImplicit(Implicits.scala:1730)
at scala.tools.nsc.typechecker.Implicits.inferImplicit1(Implicits.scala:112)
at scala.tools.nsc.typechecker.Implicits.inferImplicit(Implicits.scala:91)
at scala.tools.nsc.typechecker.Implicits.inferImplicit$(Implicits.scala:88)
at scala.tools.nsc.Global$$anon$5.inferImplicit(Global.scala:483)
at scala.tools.nsc.typechecker.Implicits.$anonfun$inferImplicit$1(Implicits.scala:144)
at scala.tools.nsc.typechecker.Implicits.inferImplicit(Implicits.scala:144)
at scala.tools.nsc.typechecker.Implicits.inferImplicit$(Implicits.scala:142)
at scala.tools.nsc.Global$$anon$5.inferImplicit(Global.scala:483)
at scala.reflect.macros.contexts.Typers.inferImplicitValue(Typers.scala:56)
at scala.reflect.macros.contexts.Typers.inferImplicitValue$(Typers.scala:54)
at scala.reflect.macros.contexts.Context.inferImplicitValue(Context.scala:18)
at scala.reflect.macros.contexts.Context.inferImplicitValue(Context.scala:18)
at shapeless.LazyMacros$DerivationContext$State$.resolveInstance(lazy.scala:303)
at shapeless.LazyMacros$DerivationContext.resolve0(lazy.scala:421)
at shapeless.LazyMacros$DerivationContext.$anonfun$deriveLowPriority$1(lazy.scala:449)
at scala.Option.flatMap(Option.scala:283)
at shapeless.LazyMacros$DerivationContext.helper$2(lazy.scala:446)
at shapeless.LazyMacros$DerivationContext.deriveLowPriority(lazy.scala:483)
at shapeless.LazyMacros$DerivationContext.derive(lazy.scala:494)
at shapeless.LazyMacros$DerivationContext$State$.deriveInstance(lazy.scala:327)
at shapeless.LazyMacrosCompat.deriveInstance(lazymacros.scala:50)
at shapeless.LazyMacrosCompat.deriveInstance$(lazymacros.scala:33)
at shapeless.LazyMacros$.deriveInstance(lazy.scala:573)
at shapeless.LazyMacros.mkImpl(lazy.scala:216)
at shapeless.LazyMacros.mkStrictImpl(lazy.scala:209)
at shapeless.LazyMacrosRef.mkStrictImpl(lazyref.scala:39)
at scala.reflect.macros.runtime.JavaReflectionRuntimes$JavaReflectionResolvers.$anonfun$resolveJavaReflectionRuntime$5(JavaReflectionRuntimes.scala:45)
Can I do something with this or I have big nested type that can not be derived?
-Xss2m
Hi,. In the following example, is there a way to create one instance of each subtype predictably, I want to remove randomness and create one instance for each subtype in ADT's?
import org.scalacheck.ScalacheckShapeless._
sealed trait Base
case class BaseIntString(i: Int, s: String) extends Base
case class BaseDoubleBoolean(d: Double, b: Boolean) extends Base
val arb = implicitly[Arbitrary[Base]]
println(arb.sample)
println(arb.sample)
println(arb.sample)
here arb.sample
gives random instance for one of the subtype
/**
* Case class representing a canonical Snowplow event.
*
* @see https://github.com/snowplow/snowplow/wiki/canonical-event-model
*/
case class Event(app_id: Option[String],
platform: Option[String],
etl_tstamp: Option[Instant],
collector_tstamp: Instant,
dvce_created_tstamp: Option[Instant],
event: Option[String],
event_id: UUID,
txn_id: Option[Int],
name_tracker: Option[String],
v_tracker: Option[String],
v_collector: String,
v_etl: String,
user_id: Option[String],
user_ipaddress: Option[String],
user_fingerprint: Option[String],
domain_userid: Option[String],
domain_sessionidx: Option[Int],
network_userid: Option[String],
geo_country: Option[String],
geo_region: Option[String],
geo_city: Option[String],
geo_zipcode: Option[String],
geo_latitude: Option[Double],
geo_longitude: Option[Double],
geo_region_name: Option[String],
ip_isp: Option[String],
ip_organization: Option[String],
ip_domain: Option[String],
ip_netspeed: Option[String],
page_url: Option[String],
page_title: Option[String],
page_referrer: Option[String],
page_urlscheme: Option[String],
page_urlhost: Option[String],
page_urlport: Option[Int],
page_urlpath: Option[String],
page_urlquery: Option[String],
page_urlfragment: Option[String],
refr_urlscheme: Option[String],
refr_urlhost: Option[String],
refr_urlport: Option[Int],
refr_urlpath: Option[String],
refr_urlquery: Option[String],
refr_urlfragment: Option[String],
refr_medium: Option[String],
refr_source: Option[String],
refr_term: Option[String],
mkt_medium: Option[String],
mkt_source: Option[String],
mkt_term: Option[String],
mkt_content: Option[String],
mkt_campaign: Option[String],
contexts: Contexts,
se_category: Option[String],
se_action: Option[String],
se_label: Option[String],
se_property: Option[String],
se_value: Option[Double],
unstruct_event: UnstructEvent,
tr_orderid: Option[String],
tr_affiliation: Option[String],
tr_total: Option[Double],
tr_tax: Option[Double],
tr_shipping: Option[Double],
tr_city: Option[String],
tr_state: Option[String],
tr_country: Option[String],
....