saralilyb

echo 'Agnes'
say -v 'Agnes' "Isn't it nice to have a computer that will talk to you?"
echo 'Albert'
say -v 'Albert' "I have a frog in my throat. No, I mean a real frog!"
echo 'Alex'
say -v 'Alex' "Most people recognize me by my voice."
echo 'Alice'
say -v 'Alice' "Salve, mi chiamo Alice e sono una voce italiana."
echo 'Alva'
say -v 'Alva' "Hej, jag heter Alva. Jag är en svensk röst."

saralilyb

arrmax = (arrs) ->
	toplevel = []
	i = 0
	l = arrs.length
	while i < l
		toplevel.push Math.max.apply(window, arrs[i])
		i++
	Math.max.apply window, toplevel
arrmin = (arrs) ->
	toplevel = []

saralilyb

meshgrid = (value) ->
	m = []
	value_length = value.length
	i = 0
	while i < value_length
		m.push(value)
		i += 1
	[m, numeric.transpose(m)]

saralilyb

rescale_core = (y, a, b, m, M) ->
	y if M - m < .0000001
	numeric.add(numeric.mul(b - a, numeric.div(numeric.sub(y, m), M - m)), a)

saralilyb

arrmax = numeric.mapreduce('if(xi > accum) accum=xi;','-Infinity');
arrmin = numeric.mapreduce('if(xi < accum) accum=xi;','Infinity');

saralilyb

set linespace=4
set noexpandtab
set wrap
set linebreak
set breakindent
set briopt=shift:2
set shiftwidth=2
set tabstop=2
set textwidth=79
set columns=80

saralilyb

# 2d4 vs 1d8

samples <- 10000

# 2d4
m1d4 <- sample(1:4, samples, replace = TRUE)
m2d4 <- sample(1:4, samples, replace = TRUE)

bastard_sword <- m1d4 + m2d4

saralilyb

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

saralilyb

#!/bin/sh

usage(){
	echo "Usage: $0 inputfile.js closurecompiledfile.js"
	exit 1
}

is_file_exits(){
	local f="$1"
	[[ -f "$f" ]] && return 0 || return 1

saralilyb

# compares bayesfactor analyses relative to the last, which is the random only model (just participants)
compbf <- function(m) { 
  m[c(1:(length(m)-1))]/m[length(m)] 
}