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joshuaulrich /
Created Nov 21, 2019 — forked from aortbals/
Squash and Merge on the Command line

With the introduction of GitHub's Squash and Merge feature, this has become less prevelant, however it's still useful in scenarios where GitHub's interface is unavailable.

Let's talk through two ways to do a squash and merge on the command line.

Take 1: Interactive Rebase

When to use it

  • When you have not merged master into your feature branch
  • There are no merge conflicts
joshuaulrich /
Last active Feb 16, 2019 — forked from evandrix/gist:1076041
Check password against known hashed password and salt
# Usage: read -s PASSWORD && ./
use Crypt::Eksblowfish::Bcrypt;
# Read password and salt from environment variables
$password = $ENV{PASSWORD};
$salt = "lfVQ/T2N3dhFVvvPro2Hfu"
$encrypted = encrypt_password($password, $salt);
# Extract bcrypt version, cost, salt, and hashed password
joshuaulrich / bench.R
Last active Mar 29, 2018 — forked from jimhester/bench.R
getOption benchmark
View bench.R
getOptionOld <- function(x, default = NULL) {
if(missing(default) || x %in% names(options()))
getOptionNew <- function(x, default = NULL) {
ans <- .Internal(getOption(x))
if(is.null(ans)) default else ans
joshuaulrich / 10y-oscillator.R
Last active Aug 27, 2017 — forked from mbusigin/10y-oscillator.R
Generate chart with 10y yield oscillator (10y yield minus 260d moving average), +/- 1 stdev dashed lines
View 10y-oscillator.R
recplot <- function(var, rec.ind, maintitle = "", ylab = "", ylim = NULL)
# Give each recession a separate number, so we can split data by recession
# and calculate the necessary values to pass to addPolygon() for shading
r <- rle(as.integer(rec.ind))
r$values[r$values > 0] <- seq_len(sum(r$values))
rec <- xts(inverse.rle(r), index(rec.ind))
# Merge variable and recession data, as a left-join so we do not have
# observations that only exist in the recession indicator data
joshuaulrich / output.txt
Created May 28, 2017 — forked from romainfrancois/output.txt
Extract promises and their environments from ...
View output.txt
> f <- function(...) {
+ promises(environment())
+ }
> g <- function(x = 3, ...) {
+ z <- 4
+ f(z = z, ..., x = x)
+ }
> h <- function(..., a = 2) {
joshuaulrich / CBOE_csv_to_xts
Created Oct 19, 2012 — forked from jaredwoodard/CBOE_csv_to_xts
pulls csv files from the CBOE and converts them to xts
View CBOE_csv_to_xts
# we're pulling the Google VIX index (VXGOG) but this also works for VXAPL, VXGS etc.
# see
url <- ""
# use read.zoo to read the data directly into a zoo object
z <- read.zoo(url, header=TRUE, sep=",", skip=1, FUN=as.Date, format="%m/%d/%Y")
# convert to xts
View world indexes since 2008-06.r
#get index tickers without the ^ which we will add in the getSymbols
#name the indexes
names(tckrs) <- c("S&P 500","US 10y Yld","DJ Commodity","Developed","Developing")
#use paste to add the ^ to the index tickers
getSymbols(paste("^",tckrs,sep=""), from="1986-01-01", to=Sys.Date())
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