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Company[] companies; | |
PFont font; | |
void setup() | |
{ | |
String[] company = loadStrings("Testdata.csv"); | |
size(800,800); | |
background(255); | |
noStroke(); | |
smooth(); |
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import org.apache.flink.api.scala._ | |
object BerkeleyData { | |
def main(args: Array[String]) { | |
val env: ExecutionEnvironment = ExecutionEnvironment.getExecutionEnvironment | |
val path = "/path/to/Berkeley.csv" | |
case class Admission(status: String, gender: String, dept: String, number: Double = 0.0) | |
val data = env.readCsvFile[Admission]( |
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trait Database[S, T] { | |
def objectsFrom[U <: Option[Seq[S]]](action: U)(implicit toDTO: S => T) : Option[Seq[T]] = { | |
action match { | |
case Some(result) => Some(result.map(toDTO)) | |
case None => Some(Seq.empty) | |
} | |
} | |
def rowsFrom[V <: Option[Seq[T]]](action: V)(implicit toDAO: T => S) : Option[Seq[S]] = { |
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name := "scalajs root project" | |
scalaVersion := "2.11.7" | |
lazy val root = project.in(file(".")). | |
aggregate(crossedJVM, crossedJS). | |
settings( | |
publish := {}, | |
publishLocal := {} | |
) |
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package httpclient | |
import akka.actor.ActorSystem | |
import akka.http.scaladsl.Http | |
import akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport | |
import akka.http.scaladsl.model.StatusCodes._ | |
import akka.http.scaladsl.model.{HttpRequest, HttpResponse} | |
import akka.http.scaladsl.unmarshalling.Unmarshal | |
import akka.stream.ActorMaterializer | |
import akka.stream.scaladsl._ |
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[error] Exception in thread "main" java.lang.ExceptionInInitializerError | |
[error] at org.nd4j.nativeblas.NativeOpsHolder.<init>(NativeOpsHolder.java:14) | |
[error] at org.nd4j.nativeblas.NativeOpsHolder.<clinit>(NativeOpsHolder.java:9) | |
[error] at org.nd4j.linalg.jcublas.ops.executioner.JCudaExecutioner.<clinit>(JCudaExecutioner.java:65) | |
[error] at java.lang.Class.forName0(Native Method) | |
[error] at java.lang.Class.forName(Class.java:264) | |
[error] at org.nd4j.linalg.factory.Nd4j.initWithBackend(Nd4j.java:5202) | |
[error] at org.nd4j.linalg.factory.Nd4j.initContext(Nd4j.java:5149) | |
[error] at org.nd4j.linalg.factory.Nd4j.<clinit>(Nd4j.java:169) | |
[error] at Main$.delayedEndpoint$Main$1(Main.scala:13) |
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lazy val nd4jVersion = SettingKey[String]("nd4jVersion") | |
lazy val root = (project in file(".")).settings( | |
scalaVersion := "2.11.8", | |
name := "nd4sTest", | |
version := "0.5.0", | |
organization := "org.nd4j", | |
resolvers += "Local Maven Repository" at "file:///" + Path.userHome.absolutePath + "/.m2/repository", | |
nd4jVersion := "0.5.0", | |
libraryDependencies ++= Seq( |
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name := "GeneticAlgorithm" | |
version := "1.0" | |
scalaVersion := "2.11.8" | |
val processingVersion = "3.2.3" | |
val joglVersion = "2.3.2" | |
val processingVideoVersion = "3.0.2" |
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case class Duck(x: Int, y: Int, direction: String) | |
case class Pond(x: Int, y: Int) | |
object GoldenPond extends App { | |
def getInput: (Pond, Seq[(Duck, List[String])]) = { | |
val scanner = new java.util.Scanner(System.in) | |
val pond = scanner.nextLine.split(" ").toList.map(_.toInt).take(2) match { | |
case Nil => throw new Exception("Not enough coordinates for pond") | |
case List(a, b) => Pond(a, b) |
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name := "spark-mllib-test" | |
version := "1.0" | |
scalaVersion := "2.11.11" | |
val sparkVersion = "2.1.0" | |
libraryDependencies ++= Seq ( | |
"org.apache.spark" %% "spark-core" % sparkVersion % "provided", |
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