I hereby claim:
- I am cwmyers on github.
- I am cwmyers (https://keybase.io/cwmyers) on keybase.
- I have a public key whose fingerprint is 755A 0E9F C495 813B 72B3 B39B 3E8D A8EB 443F A790
To claim this, I am signing this object:
#include <LiquidCrystal.h> | |
//LCD pin to Arduino | |
const int pin_RS = 8; | |
const int pin_EN = 9; | |
const int pin_d4 = 4; | |
const int pin_d5 = 5; |
I hereby claim:
To claim this, I am signing this object:
I've been playing with Scalaz-Streams (0.7.3 and 0.8) and noticed this curious behaviour which I don't understand. As an experiment I am creating multiple processes and using the output of one process as the input for the next process. In doing so, I seem to blow the stack. Initially I thought it was because I'm appending the stream with a recursive call to the function that creates the stream. But I discovered that replacing the flatMap
in the first example below with map/mergeN
and it stopped blowing the stack. Curiously though using map/mergeN
was waaaaaaaay slower than using flatMap
. So, why is flatMap
blowing the stack and why is mergeN
so slow?
import scalaz.concurrent.Task
import scalaz.stream._
object Main extends App {
def infiniteInts(streamOfInts: Process[Task, Int]): Process[Task, Int] = {
sealed trait Interact[A] | |
case class Ask(prompt: String) | |
extends Interact[String] | |
case class Tell(msg: String) | |
extends Interact[Unit] | |
trait Monad[M[_]] { | |
def pure[A](a: A): M[A] |
package com.rea-group.validation | |
import scalaz._, Scalaz._ | |
import java.lang.NumberFormatException | |
import scala.collection.mutable.ListBuffer | |
object ValidationExample { | |
val suburbs = Map(3000 -> "Melbourne", 3121 -> "Richmond", 4000 -> "Brisbane", 2001 -> "Sydney") |