Courtney Strachan cstrachan88

REST Service for LoL spectators

This is an unofficial, uncomplete and (pretty sure) wrong documentation of the RESTful service which powers the League of Legends spectator mode.

This documentation is desgined to be community driven and should be extended by everyone. If you find things missing, add them please!

How it works

Riot's spectator mode works by requesting replay data via HTTP form a service. The data is split in chunks which usually contain about 30 seconds of gameplay. Additionally there are key frames which seem to contain more information then a single chunk. They seem to be used to support

Pokemon	Attack	Defense	Stamina	Total
MEWTWO	284	202	212	698
SNORLAX	180	180	320	680
DRAGONITE	250	212	182	644
MEW	220	220	200	640
LAPRAS	186	190	260	636
ARTICUNO	198	242	180	620
MOLTRES	242	194	180	616
VAPOREON	186	168	260	614

Gilbert–Johnson–Keerthi (GJK) 3D distance algorithm

The Gilbert–Johnson–Keerthi (GJK) distance algorithm is a method of determining the minimum distance between two convex sets. The algorithm's stability, speed which operates in near-constant time, and small storage footprint make it popular for realtime collision detection.

Unlike many other distance algorithms, it has no requirments on geometry data to be stored in any specific format, but instead relies solely on a support function to iteratively generate closer simplices to the correct answer using the Minkowski sum (CSO) of two convex shapes.

WGSL Noise Algorithms

Good and fast integer hash

// https://www.pcg-random.org/
fn pcg(n: u32) -> u32 {
    var h = n * 747796405u + 2891336453u;
    h = ((h >> ((h >> 28u) + 4u)) ^ h) * 277803737u;
    return (h >> 22u) ^ h;
}

	/**
	* K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex")
	*
	* More language ports, as well as legacy 2014 OpenSimplex, can be found here:
	* https://github.com/KdotJPG/OpenSimplex2
	*/

	public class OpenSimplex2S {

	private static final long PRIME_X = 0x5205402B9270C86FL;

	Result: 1
	Items {
	TemplateId: "BADGE_BATTLE_ATTACK_WON"
	Badge {
	BadgeType: BADGE_BATTLE_ATTACK_WON
	BadgeRanks: 4
	Targets: "\nd\350\007"
	}
	}
	Items {

	[ {
	"Date" : "2016-07-30",
	"Data" : {
	"Moves" : [
	{ "ID" : 13, "Key" : "Power", "Old Value" : 15, "New Value" : 25 },
	{ "ID" : 14, "Key" : "Power", "Old Value" : 70, "New Value" : 120 },
	{ "ID" : 18, "Key" : "Power", "Old Value" : 25, "New Value" : 30 },
	{ "ID" : 20, "Key" : "Power", "Old Value" : 15, "New Value" : 25 },
	{ "ID" : 21, "Key" : "Power", "Old Value" : 35, "New Value" : 40 },
	{ "ID" : 22, "Key" : "Power", "Old Value" : 55, "New Value" : 80 },

	package audio

	import "core:fmt"

	// https://miniaud.io/docs/
	import ma "vendor:miniaudio"

	// 0 - Use native channel count of the device
	AUDIO_CHANNELS :: 0
	AUDIO_SAMPLE_RATE :: 0

	// Port of some collision functions to Odin by Jakub Tomšů.
	//
	// from Real-Time Collision Detection by Christer Ericson, published by Morgan Kaufmann Publishers, © 2005 Elsevier Inc
	//
	// This should serve as an reference implementation for common collision queries for games.
	// The goal is good numerical robustness, handling edge cases and optimized math equations.
	// The code isn't necessarily very optimized.
	//
	// There are a few cases you don't want to use the procedures below directly, but instead manually inline the math and adapt it to your needs.
	// In my experience this method is clearer when writing complex level queries where I need to handle edge cases differently etc.

	PkMn BaseStamina BaseAttack BaseDefense Type1 Type2 BaseCaptureRate BaseFleeRate CollisionRadiusM CollisionHeightM CollisionHeadRadiusM MovementType MovementTimerS JumpTimeS AttackTimerS QuickMoves CinematicMoves AnimTime Evolution EvolutionPips PokemonClass PokedexHeightM PokedexWeightKg HeightStdDev WeightStdDev FamilyId CandyToEvolve
	1 90 126 126 HoloPokemonType.POKEMON_TYPE_GRASS HoloPokemonType.POKEMON_TYPE_POISON 0.1599999964237213 0.10000000149011612 0.3815000057220459 0.6539999842643738 0.27250000834465027 HoloPokemonMovementType.POKEMON_ENC_MOVEMENT_JUMP 10.0 1.149999976158142 29.0 d601dd01 5a3b76 6d56d53fdaac2a3f6d56d53f93a9ea3f0000000036ab0a403333b33fbfbbbb3f 02 HoloPokemonClass.POKEMON_CLASS_NORMAL 1 0.699999988079071 6.900000095367432 0.08749999850988388 0.862500011920929 HoloPokemonFamilyId.V0001_FAMILY_BULBASAUR 25
	2 120 156 158 HoloPokemonType.POKEMON_TYPE_GRASS HoloPokemonType.POKEMON_TYPE_POISON 0.07999999821186066 0.07000000029802322 0.3187499940395355 0.637499988079071 0.2549999952316284 H