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Connecting emacs and Protonmail Bridge

This guide will cover the basics on how to integrate emacs with the bridge using

• mu4e
• mbsync
• smtpmail

I am going to assume that you already have installed the mentioned software, I am using Fedora 27 but it should work on any GNU/Linux distribution.

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---

REFERENCES FOR LEARNING & USING APPLESCRIPT Modified: 2018/06/19 18:47

---

NOTES

AppleScript is a rather peculiar scripting language to learn.

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# Linux

eval `ssh-agent`
ssh-add ~/.ssh/some_key_rsa
ssh user@server

# Mac 
## As of the Leopard release of OS X, ssh-agent is more tightly integrated with Keychain. It is possible to store the passphrases of all of  your SSH keys securely in Keychain, from which ssh-agent will read them on startup. The bottom line is that it is simple to secure your keys with passphrases, but never have to type the passphrase to use them! Here is how:

## Add the pass phrase to each ssh key to keychain:

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#!/bin/sh
## Information
## http://carlo-hamalainen.net/blog/2007/12/11/installing-minion-pro-fonts/
## http://www.ctan.org/tex-archive/fonts/mnsymbol/

## 0: Install
##   http://www.lcdf.org/type/
## I used --without-kpathsea to configure (with MacTeX 2011):
##
## ./configure --without-kpathsea

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HMC2 <- function (U, grad_U, epsilon, L, current_q , ... ) {
  q = current_q
  p = rnorm(length(q),0,1)  # independent standard normal variates
  current_p = p
  # Make a half step for momentum at the beginning
  p = p - epsilon * grad_U( q , ... ) / 2
  # Alternate full steps for position and momentum
  qtraj <- matrix(NA,nrow=L+1,ncol=length(q))
  ptraj <- qtraj
  qtraj[1,] <- current_q

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# install rethinking library with instructions here:
# https://github.com/rmcelreath/statrethinking_winter2019

library(rethinking)
library(dagitty)
library(shape)

# the structural model
# W: wages
# Q: quarter of year of birth

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# script for examples in Bayes@Lund2017 presentation

# joint model example
notes_max <- 10
rate_max <- 5
pm <- matrix( NA , nrow=rate_max+1 , ncol=notes_max+1 )
for ( i in 1:(rate_max+1) )
    for ( j in 1:(notes_max+1) )
        pm[i,j] <- dpois( j-1 , lambda=i ) * (1/(rate_max+1))

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######################
# Replication and reanalysis for:
#   van der Lee and Ellemers 10.1073/pnas.1510159112

# load data from supplemental Table S1
# found at http://www.pnas.org/content/early/2015/09/16/1510159112/suppl/DCSupplemental

d <- read.csv("http://xcelab.net/VDL_data.csv")
d$rejects <- d$applications - d$awards

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Ruby on Archlinux

I thought I would document my setup, since it's somewhat non-standard but working quite well for me.

What this does

• Install major Ruby versions at their latest patch release
• Allow to switch between them seamlessly
• Use chruby
• Encourage bundler usage

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