patroza

// 3. Presentation/Root
const start = () => {
  const getCompletedTodosRequestHandler = async (ctx) => {
    const result = await getCompletedTodosResolved(ctx.params.id)
    ctx.body = JSON.stringify(result)
  }

  const completeTodoRequestHandler = async (ctx) => {
    await completeTodoResolved(ctx.params.id)
    ctx.status = 204

lexi-lambda

Monads and delimited control are very closely related, so it isn’t too hard to understand them in terms of one another. From a monadic point of view, the big idea is that if you have the computation m >>= f, then f is m’s continuation. It’s the function that is called with m’s result to continue execution after m returns.

If you have a long chain of binds, the continuation is just the composition of all of them. So, for example, if you have

m >>= f >>= g >>= h

then the continuation of m is f >=> g >=> h. Likewise, the continuation of m >>= f is g >=> h.

joaocruz04

Enabling FTS4 on an Android project with Room

You can do a SQL text query by using the LIKE operator. The issue is that using it requires a lot of computation, as a complete string query is done. Also if you want to have more search options (more fields), your query will grow a lot in complexity. To solve this issue, there's a concept of virtual tables for full text search (FTS).

We will build our solution using Room (already set in the project). We're using version 2.2.0-rc01 for that.

Step 1 - Create new Virtual Table

With Room, the only thing we need is to create the new class with @FTS4 notation. By specifying contentEntity to be the Route class, it means that it will reuse the values from the Route table instead of populating this one with copies. The fields in question should match the ones from the Route table. In this example we only need the title.

nrinaudo

Introduction

I was recently asked to explain why I felt disappointed by Haskell, as a language. And, well. Crucified for crucified, I might as well criticise Haskell publicly.

First though, I need to make it explicit that I claim no particular skill with the language - I will in fact vehemently (and convincingly!) argue that I'm a terrible Haskell programmer. And what I'm about to explain is not meant as The Truth, but my current understanding, potentially flawed, incomplete, or flat out incorrect. I welcome any attempt at proving me wrong, because when I dislike something that so many clever people worship, it's usually because I missed an important detail.

Another important point is that this is not meant to convey the idea that Haskell is a bad language. I do feel, however, that the vocal, and sometimes aggressive, reverence in which it's held might lead people to have unreasonable expectations. It certainly was my case, and the reason I'm writing this.

Type classes

I love the concept of type class

jproyo

{-# LANGUAGE GeneralisedNewtypeDeriving #-}

module Data where

type UserName = String

data DataResult = DataResult String
  deriving (Eq, Show)

class Monad m => Cache m where

chrismccord

Phoenix 1.4 ships with exciting new features, most notably with HTTP2 support, improved development experience with faster compile times, new error pages, and local SSL certificate generation. Additionally, our channel layer internals receiveced an overhaul, provided better structure and extensibility. We also shipped a new and improved Presence javascript API, as well as Elixir formatter integration for our routing and test DSLs.

This release requires few user-facing changes and should be a fast upgrade for those on Phoenix 1.3.x.

Install the new phx.new project generator

The mix phx.new archive can now be installed via hex, for a simpler, versioned installation experience.

To grab the new archive, simply run:

RichardBronosky

#!/usr/bin/env python3
# taken from http://www.piware.de/2011/01/creating-an-https-server-in-python/
# generate server.xml with the following command:
#    openssl req -new -x509 -keyout server.pem -out server.pem -days 365 -nodes
# run as follows:
#    python simple-https-server.py
# then in your browser, visit:
#    https://localhost:4443

import http.server

djspiewak

Thread Pools

Thread pools on the JVM should usually be divided into the following three categories:

1. CPU-bound
2. Blocking IO
3. Non-blocking IO polling

Each of these categories has a different optimal configuration and usage pattern.

pedroxs

# recursive search for keys containing "string" stripping empty results
jq '.. | objects | with_entries(select(.key | contains("ftp"))) | select(. != {})'

# same, but output propper array
jq '[ .. | objects | with_entries(select(.key | contains("ftp"))) | select(. != {}) ]'
# or
jq 'map( .. | objects | with_entries(select(.key | contains("ftp"))) | select(. != {}) )'

# transform input from {type: a, amount: 1} to {a: 1} and sum all values by type
jq '[ .[] | {(.type): .amount} ] | map(to_entries) | add | group_by(.key) | map({key: .[0].key, value: map(.value) | add}) | from_entries'

bangn

defmodule MyApp.Test do
  use ExUnit.Case, async: true
  use Plug.Test

  setup do
    # Checkout repo manually.
    # TODO: figure out how to do it automatically.
    :ok = Ecto.Adapters.SQL.Sandbox.checkout(MyApp.Repo)
  end