jimhester

library(tidyverse)
library(httr)
library(jsonlite)
library(glue)
library(lubridate)

# JSON friendly version of glue
jlue <- function(..., .envir = parent.frame()) {
  glue(..., .envir = .envir, .open = "<", .close = ">")
}

RLesur

DefinitionList = function(dl)
  local terms = {}
  local inlines = {}
  local blocks = {}
  local sorted = {}
  for i, item in ipairs(dl.content) do
    local term = string.upper(pandoc.utils.stringify(item[1])) --string.upper() is used because all the terms were not capitalized in the example
    table.insert(terms, term)
    inlines[term] = item[1]
    blocks[term] = item[2]

jennybc

library(glue)

vv_transformer <- function(text, envir) {
  regex <- "=$"
  if (!grepl(regex, text)) {
    return(identity_transformer(text, envir))
  }
  text <- sub(regex, "", text)
  res <- identity_transformer(text, envir)
  n <- length(res)

akostadinov

#!/usr/bin/env bash

# example: ./font_find.sh 🎩︎

# credits: David Baynard, https://unix.stackexchange.com/a/393740/14907

param="$1"
char=${param:0:1}
printf '%x' \'"$char" | xargs -I{} fc-list ":charset={}"

juliasilge

Install native ARM R: https://cloud.r-project.org/

Install RStudio (probably preview) which is not native as of today: https://www.rstudio.com/products/rstudio/download/preview/

This blog post is helpful for getting Tensorflow working, but it is older, before the ARM version of R and the RStudio version that supports it was available.

This other blog post has specific steps outlined, but some of it has also been superseded.