tomhazledine

// Fallback if ACF plugin doesn't exist
/**
* Return a custom field stored by the Advanced Custom Fields plugin
*
* @global $post
* @param str $key The key to look for
* @param mixed $id The post ID (int|str, defaults to $post->ID)
* @param mixed $default Value to return if get_field() returns nothing
* @return mixed
* @uses get_field()

tomhazledine

_uncompressed/
    icons/ ~ SVG icons go here
    scss/
    images/
    js/
        custom/ ~ JS partials live here
        static/ ~ "static" files are *not* concatenated into app.min.js
        jquery/
        vendor/ ~ plugins etc. These are concatenated into app.min.js

tomhazledine

<script src="/path/to/styleFreeAudio.min.js"></script>
<script src="/path/to/yourCustom.js"></script>

tomhazledine

# Default application configuration that all configurations inherit from.
linters:
  BorderZero:
    enabled: true

  CapitalizationInSelector:
    enabled: true

  ColorKeyword:
    enabled: true

tomhazledine

let now = Date.now() / 1000;
if ( now > 1504051200 && now < 1504137599) {
    steve.work = false;
    steve.beers++;
}

tomhazledine

<?php
/**
 * DISPLAY NUMBERS
 * 
 * Convert raw numbers into human-readable words.
 *
 * Borrowed (and very much simplified) from:
 * http://www.karlrixon.co.uk/writing/convert-numbers-to-words-with-php/
 * @param  integer $number Raw number.
 * @return string         Number as a word.

tomhazledine

<?php
/**
 * READING TIME
 *
 * Calculate an approximate reading-time for a post.
 *
 * @param  string $content The content to be measured.
 * @return  integer Reading-time in seconds.
 */
function reading_time( $content ) {

tomhazledine

export const generateRandomBellCurveData = (size, min = 0, max = 100) => {
    // Function to add pronounced randomness to the curve
    const randomize = (val, min, max, noiseLevel = 0.5) => {
        // Apply random noise based on noise level
        const noise = (Math.random() * 2 - 1) * noiseLevel;
        return Math.max(min, Math.min(max, val + noise));
    };

    // Generate Y values with normal distribution characteristics
    const yValues = Array.from({ length: size }, (_, i) => {