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Object-Oriented Programming in Fortran 2003 Part 2: Data Polymorphism

Original article by Mark Leair, PGI Compiler Engineer

Note: This article was revised in March 2015 and again in January 2016 to bring it up-to-date with the production software release and to correct errors in the examples.

This is Part 2 of a series of articles:

Object-Oriented Programming in Fortran 2003 Part 1: Code Reusability

Original articles by Mark Leair, PGI Compiler Engineer

This is Part 1 of a series of articles:

1. Introduction

Navigating the modes of Vim

This diagram illustrates navigating through Vim’s modes. It was built factoring Vim 9 (i.e., all its modes, including up to two new modes, cr and cvr, in November 2023). Information about the state() and 'showmode' is provided too.

SVG version

Some features are only available in the SVG version. It is not provided directly from within this gist’s files because SVGs do not always play nicely in GitHub (particularly, refusing to display embedded fonts).

The SVG version includes hover text help, which shows pertinent information about the underlying key, command, mode, etc.

Keychron K2 Manual

Connect Bluetooth

On the side of the keyboard, switch the toggle to Bluetooth. Press fn+1 ^{3 seconds} and pair with device named Keychron K2.

fn+1 connect to 1st device
fn+2 connect to 2nd device
fn+3 connect to 3rd device

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

	openapi: '3.0.3'
	info:
	title: CoinMarketCap Cryptocurrency API Documentation
	version: 1.26.0
	description: "# Introduction\nThe CoinMarketCap API is a suite of high-performance RESTful JSON endpoints that are specifically designed to meet the mission-critical demands of application developers, data scientists, and enterprise business platforms.\n\nThis API reference includes all technical documentation developers need to integrate third-party applications and platforms. Additional answers to common questions can be found in the [CoinMarketCap API FAQ](https://coinmarketcap.com/api/faq).\n\n# Quick Start Guide\n\nFor developers eager to hit the ground running with the CoinMarketCap API here are a few quick steps to make your first call with the API.\n\n1. Sign up for a free Developer Portal account. You can sign up at [pro.coinmarketcap.com](https://pro.coinmarketcap.com) - This is our live production environment with the latest market data. Select the free `Basic` plan if it meets your needs or upgra

	#include <iostream>

	void printArray(int *array, int n)
	{
	for (int i = 0; i < n; ++i)
	std::cout << array[i] << std::endl;
	}

	void quickSort(int *array, int low, int high)
	{

	// takes either a unix time number, string or a Date object and returns time string

	export const timeAgo = (time: number \| string \| Date) => {
	switch (typeof time) {
	case "number":
	break;
	case "string":
	time = +new Date(time);
	break;
	case "object":

	import os

	import requests
	import csv
	import time

	def fetch_all_users(api_key):
	url = "https://api.clerk.dev/v1/users"
	headers = {
	"Authorization": f"Bearer {api_key}",

	/** @type {import('tailwindcss').Config} */
	module.exports = {
	content: ['./index.html', './src/*/.{js,ts,jsx,tsx}'],
	theme: {
	extend: {

	animation: {
	fade: 'fadeIn .5s ease-in-out',
	},