Colin Seymour lildude

A guide to writing a language grammar (TextMate) in Atom

Atom is transitioning to an entirely new way of defining grammars using tree-sitter. This will be enabled by default quite soon now. It is theoretically faster and more powerful than regex based grammars (the one described in this guide), but requires a steeper learning curve. My understanding is that regex based grammars will still be supported however (at least until version 2), so this guide can still be useful. To enable it yourself, go to Settings -> Core and check Use Tree Sitter Parsers

Links for tree-sitter help:

Proposal: SE-0296
Authors: John McCall, Doug Gregor
Review Manager: Ben Cohen
Status: Accepted
Implementation: Available in recent main snapshots behind the flag -Xfrontend -enable-experimental-concurrency
Decision Notes: Rationale

Table of Contents

	#!/usr/bin/env bash
	#
	# Export all Omnivore saves to a bookmarks.html file to easy importing into things like Pocket.
	#
	# Sets the added and modified dates to order is retained in the receiving service if it honours those fields. Pocket does.
	#
	# Instructions:
	#
	# 1. Save file to your Linux, macOS or WSL on Windows
	# 2. Get an API key from Omnivore. See https://docs.omnivore.app/integrations/api.html

	/*
	1) Open your calendar on trainerroad
	2) Press F12 to open developer tools, select console and paste the script below
	3) OPTIONAL - modify the two dates (beg & end) to suit your needs
	4) Copy the result of the execution (something like TRData = ...)
	*/
	(function () {
	var beg = '2021-01-01';
	var end = '2022-01-01';
	function normalizeDate(dat) {

	'use strict';

	const React = require('react')

	module.exports = React.createClass({
	render: function() {
	let {feeds, log} = this.props;

	log.info(feeds);
	return <div className="feed-list">


	SHELL = /bin/sh

	# V=0 quiet, V=1 verbose. other values don't work.
	V = 0
	Q1 = $(V:1=)
	Q = $(Q1:0=@)
	ECHO1 = $(V:1=@ :)
	ECHO = $(ECHO1:0=@ echo)
	NULLCMD = :

	# This file contains custom benchmark configs, in addition to the ones generated
	# in the source code.

	# CUDA 9.x + Volta performance regressions in cuDNN from 7.1.4 to 7.3.0, but then fixed in 7.3.1.
	convolution_benchmark {
	label: "NHWC_128x20x20x56x160"
	input {
	dimension: [128, 56, 20, 20]
	data_type: DATA_HALF
	format: TENSOR_NHWC

	{
	"name": "Lean",
	"scopeName": "source.lean",
	"patterns": [
	{
	"include": "#comments"
	},
	{
	"name": "meta.definitioncommand.lean",
	"begin": "\\b(?\u003c!\\.)(inductive\|coinductive\|structure\|theorem\|axiom\|axioms\|abbreviation\|lemma\|definition\|def\|instance\|class\|constant)\\b\\s+(\\{[^}]*\\})?",

	# Playgrounds Markup Cheat Sheet
	## Callouts
	::Name Description PG QH::
	[Note](https://developer.apple.com/library/content/documentation/Xcode/Reference/xcode_markup_formatting_ref/Note.html#//apple_ref/doc/uid/TP40016497-CH39-SW1) Adds a Note callout. ✓ ✓
	[Example](https://developer.apple.com/library/content/documentation/Xcode/Reference/xcode_markup_formatting_ref/Example.html#//apple_ref/doc/uid/TP40016497-CH58-SW1) Adds an Example callout. ✓
	[Experiment](https://developer.apple.com/library/content/documentation/Xcode/Reference/xcode_markup_formatting_ref/Experiment.html#//apple_ref/doc/uid/TP40016497-CH36-SW1) Adds an Experiment callout. ✓ ✓
	[Important](https://developer.apple.com/library/content/documentation/Xcode/Reference/xcode_markup_formatting_ref/Important.html#//apple_ref/doc/uid/TP40016497-CH37-SW1) Adds an Important callout ✓ ✓
	[Custom Callout](https://developer.apple.com/library/content/documentation/Xcode/Reference/xcode_markup_formatting_ref/CustomCallouts.html#//apple_re

	#!/bin/bash
	#
	# Name: nft-flush
	# Auth: Gavin Lloyd <[email protected]>
	# Date: 06 Mar 2014
	# Desc: Flush and delete all nftables rules, chains and tables
	#

	NFT=/usr/bin/nft
	FAMILIES="ip ip6 arp bridge"