mbbx6spp

module Logic

-- Connective is a fancy word for operator.
namespace Connectives

  -- Truth: Also known as the "unit" type, (there is only one truth in value,
  -- literally).
  -- Scala:   type Truth = Unit
  -- Haskell: type Truth = ()
  Truth : Type

garybernhardt

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

jdegoes

case class IO[A](unsafePerformIO: () => A) {
  def map[B](ab: A => B): IO[B] = IO(() => ab(unsafePerformIO()))
  def flatMap[B](afb: A => IO[B]): IO[B] =IO(() => afb(unsafePerformIO()).unsafePerformIO())
  def tryIO(ta: Throwable => A): IO[A] = 
    IO(() => IO.tryIO(unsafePerformIO()).unsafePerformIO() match {
      case Left(t) => ta(t)
      case Right(a) => a
    })
}
object IO {

tonymorris

import java.util.function.Function;
import java.util.function.BiFunction;
import java.util.Scanner;

abstract class TerminalOperation<A> {
  // this ensures that there are no subclasses of TerminalOperation
  // outside of this class
  private TerminalOperation() {

  }

non

What is the appeal of dynamically-typed languages?

Kris Nuttycombe asks:

I genuinely wish I understood the appeal of unityped languages better. Can someone who really knows both well-typed and unityped explain?

I think the terms well-typed and unityped are a bit of question-begging here (you might as well say good-typed versus bad-typed), so instead I will say statically-typed and dynamically-typed.

I'm going to approach this article using Scala to stand-in for static typing and Python for dynamic typing. I feel like I am credibly proficient both languages: I don't currently write a lot of Python, but I still have affection for the language, and have probably written hundreds of thousands of lines of Python code over the years.

runarorama

trait λ {
  type α
}

trait Functor extends λ {
  type α <: λ

  def map[A,B](x: α { type α = A })(f: A => B): α { type α = B }
}

djspiewak

Introduction to scalaz-stream

Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.

The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca

tpolecat

Hi, looking for scalac flags?

This gist has been upgraded to a blog post here.

jo

JavaScript Crypto Libraries

List some crypto libraries for JavaScript out there. Might be a bit out dated. Scroll to the bottom.

WebCryptoAPI

http://www.w3.org/TR/WebCryptoAPI/

This specification describes a JavaScript API for performing basic cryptographic operations in web applications, such as hashing, signature generation and verification, and encryption and decryption. Additionally, it describes an API for applications to generate and/or manage the keying material necessary to perform these operations. Uses for this API range from user or service authentication, document or code signing, and the confidentiality and integrity of communications.