JosiahParry

[package]
name = "testthat-cli"
version = "0.1.0"
edition = "2021"

[dependencies]
argh = "0.1.12"

JosiahParry

#' @export
new_schedule_builder <- function() {
  builder <- list(
    sec = "0",
    min = "0",
    hour = "0",
    dom = "*",
    month = "*",
    dow = "*",
    year = "*"

JosiahParry

library(dplyr)
library(tidyr)
library(ggplot2)

url <- "https://projects.fivethirtyeight.com/polls/president-general/2024/national/polls.json"

# read in the raw json path
polls_raw <- RcppSimdJson::fload(url)

# filter to the IDs that contain Harris

JosiahParry

# install the development version
# install.packages("pak")
# pak::pak("r-arcgis/arcgislayers")
library(pillar)

# for authorizing to your portal
library(arcgisutils)
#> 
#> Attaching package: 'arcgisutils'

JosiahParry

// Place your key bindings in this file to override the defaults
[
    {
        "key": "shift+cmd+b",
        "command": "workbench.action.tasks.runTask",
        "args": "Build R package",
        "when": "isRPackage"
    },
    {
        "key": "shift+cmd+enter",

JosiahParry

#!/usr/bin/env Rscript
# we need to vendor the dependencies and then store the checksum
rextendr::vendor_pkgs()

# make the checksum
# writeLines(
#   tools::md5sum("src/rust/vendor.tar.xz"),
#   "./tools/vendor.md5"
# )

JosiahParry

[package]
name = "json-parser"
version = "0.1.0"
edition = "2021"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
serde = { version = "1.0.199", features = ["derive"] }
serde_json = "1.0.116"

JosiahParry

FROM python:3.9-bookworm

ENV R_VERSION=4.3.3

# Install from Posit binaries
# https://docs.posit.co/resources/install-r/#verify-r-installation
RUN apt-get update && \
    apt-get install -y gdebi-core curl && \
    curl -O https://cdn.rstudio.com/r/debian-12/pkgs/r-${R_VERSION}_1_amd64.deb && \
    gdebi -n r-${R_VERSION}_1_amd64.deb && \

JosiahParry

# Current limitation is that the images that are used are relative to the
# package lib.loc / help so what might be idea lis to extract the image
# and base64 encode them using {b64}
pkg_to_quarto_doc <- function(pkg, out_path = paste0(pkg, ".qmd"), ...) {
  tmp <- tempfile()
  base_doc <- tools::pkg2HTML(pkg, out = tmp, ...)

  # read in html
  og <- rvest::read_html(tmp)

JosiahParry

[package]
name = 'tst2'
publish = false
version = '0.1.0'
edition = '2021'

[lib]
crate-type = [ 'staticlib' ]
name = 'tst2'