Mara Averick batpigandme

Let's Flip For Color

Q: I want my text color to switch to black or white, depending on the background color the user chooses. Just where is that flip point?

Short Answer:

Calculate the luminance (Y) of the given color, and flip the text either black or white based on a pre-determined middle contrast figure. For a typical sRGB display, flip to white when Y < 0.36 (i.e. 36%)

Longer Answer

First I want to acknowledge the massive amount of misinformation on the internet on this particular subject. The fact this field is still a subject of active research and unsettled science adds to the fun. I came to this conclusion as the result of the last few years of research into a new contrast prediction method for readability.

The field of visual perception is dense and abstract, as well as developing, so it is common for misunderstandings to exist. For instance, HSV and HSL are not even close to perceptually accurate. For that you need a perceptually uniform model such as CIELAB or CIELUV or CIECAM02 etc

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This other blog post has specific steps outlined, but some of it has also been superseded.

Have a Code of Conduct and a demonstrable commitment to diversity
- The Code of Conduct must be prominently displayed
- Sponsors and other third parties must adhere to the Code of Conduct
Provide a mechanism for low income attendees to get reduced prices and support where the event charges more than a day's income
Attendees encounter only non-defaulted opt-ins to marketing and future contact, especially from third parties
The data entrusted to the event is handled with due care and consideration
Diverse attendees' needs are considered and taken into consideration. Things like (but not limited to) large print agendas, gender neutral bathrooms, quiet rooms, family rooms, and prayer rooms are implemented to ensure a pleasant experience for all attendee
Volunteers and organisers should receive reduced or free entry to the event
New speakers are encouraged and offered extra support
The speaker selection process is performed in a way that reduces possible sources of bias

	#!/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={}"

	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)

	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]

	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 = ">")
	}

	library(purrr)
	library(dplyr)

	na_set <- function(x, p){
	p <- as_mapper(p)
	x[p(x)] <- NA
	x
	}

	# or something like this using case_when

	---
	title: "Summarise and mutate multiple columns"
	output: html_document
	---

	```{r, include = FALSE}
	library(dplyr)
	knitr::opts_hooks$set(
	asciicast = rsciinema::asciicast_hook
	)

	library(ggplot2)
	library(grid)

	geom_point2 <- function(mapping = NULL, data = NULL,
	stat = "identity", position = "identity",
	...,
	na.rm = FALSE,
	show.legend = NA,
	inherit.aes = TRUE) {