pomadchin

import shapeless.newtype.Newtype

/** Coercion to derive [[shapeless.newtype.Newtype]] and [[shapeless.tag.Tagged]] type classes */
trait Coercible[A, B] {
  def apply(a: A): B = a.asInstanceOf[B]
}

object Coercible {
  implicit def newTypeToCoercible[R: * => O, O]: Coercible[R, Newtype[R, O]] = new Coercible[R, Newtype[R, O]] { }
  implicit def newTypeToCoercibleK[F[_], R: Coercible[*, Newtype[R, O]]: * => O, O]: Coercible[F[R], F[Newtype[R, O]]] = new Coercible[F[R], F[Newtype[R, O]]] { }

pomadchin

package com.azavea.scube

import com.azavea.scube.Test.WidgetId

import io.circe.syntax._
import io.circe.{Decoder, Encoder}
import io.circe.generic.extras.Configuration

import shapeless.newtype
import shapeless.newtype.Newtype

pomadchin

class Foo {
    private def isFoo = true
    def boo(other: Foo) {
        if (other.isFoo) { 
            // ...
        }
    }
}
class Foo {
    private[this] def isFoo = true

pomadchin

/**
* //> spark-shell
* 19/10/14 13:25:10 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
* Setting default log level to "WARN".
* To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
* Spark context Web UI available at http://localhost:4040
* Spark context available as 'sc' (master = local[*], app id = local-111).
* Spark session available as 'spark'.
* Welcome to
*       ____              __

pomadchin

Можно задавать любые вопросы по теме, от совсем базовых, до требующих многолетних исследований. Но если постите примеры кода, то делайте его компилируемым. Шансы на помощь возрастают многократно. Подойдут сервисы https://scastie.scala-lang.org, https://scalafiddle.io. В крайнем случае gist, там хотя бы история и комменты есть.

Telegram

• Russian chat: https://t.me/scala_ru (правила - https://gist.github.com/fomkin/5ff77f44ddbdc54ef149b16ee8515b25)
• English chat: https://t.me/scala_en
• Jobs chat [En]: https://t.me/scala_jobs_en
• Jobs chat [Ru]: https://t.me/scala_jobs
• Jobs channel (without flood): https://t.me/scala_jobs_feed
• Канал с полезняшками: https://t.me/scala_channel_ru
• Канал Дениса Михайлова aka @notxcain: https://t.me/notxcain_tech_feed

pomadchin

import geotrellis.spark.io.hadoop._
import geotrellis.spark.util._

import org.apache.hadoop.fs.FileSystem
import org.apache.hadoop.fs.FileUtil
import org.apache.hadoop.fs.Path
import org.apache.hadoop.conf.Configuration
import org.apache.spark._
import org.apache.spark.sql._

pomadchin

import org.apache.spark.SparkEnv
val serializer = SparkEnv.get.closureSerializer.newInstance()
val f1 = serializer.serialize(f)
val client2 = serializer.deserialize[() => S3Client](f1)

pomadchin

<Capabilities xmlns:gml="http://www.opengis.net/gml" xmlns:ows="http://www.opengis.net/ows/1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<ows:ServiceIdentification>
<ows:Title>WMTS</ows:Title>
<ows:Abstract>Geotrellis WMTS Service</ows:Abstract>
<ows:Keywords/>
<ows:ServiceType>OGC WMTS</ows:ServiceType>
<ows:ServiceTypeVersion>1.0.0</ows:ServiceTypeVersion>
</ows:ServiceIdentification>
<ows:ServiceProvider>
<ows:ProviderName>Azavea</ows:ProviderName>

pomadchin

  object test {
    import cats.effect.{IO, Timer}
    import cats.syntax.apply._

    import scala.concurrent.ExecutionContext

    import java.util.concurrent.Executors

    def timedCreate[T](msg: String)(f: => T): T = {
      val s = System.currentTimeMillis

pomadchin

package geotrellis.proj4.io.wkt
import org.scalatest.FunSpec

class WKTParserTest extends FunSpec {

  it("GCS_WGS_1984") {
    val strip = WKTParser("""|GEOGCS["GCS_WGS_1984",
        |DATUM["D_WGS_1984", SPHEROID["WGS_1984", 6378137.0, 298.257223563]],
        |PRIMEM["Greenwich", 0.0],
        |UNIT["degree", 0.017453292519943295],