Skip to content

Instantly share code, notes, and snippets.

View cstrachan88's full-sized avatar

Courtney Strachan cstrachan88

View GitHub Profile
@themasch
themasch / doc.md
Last active December 31, 2024 17:34
unofficial docs of the LoL Spectator API

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

@KdotJPG
KdotJPG / OpenSimplex2S.java
Last active June 5, 2025 06:41
Visually isotropic coherent noise algorithm based on alternate constructions of the A* lattice.
/**
* 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;
anonymous
anonymous / GAME_MASTER_v0_1.protobuf
Created July 16, 2016 16:31
Pokemon Go decoded GAME_MASTER protobuf file v0.1
Result: 1
Items {
TemplateId: "BADGE_BATTLE_ATTACK_WON"
Badge {
BadgeType: BADGE_BATTLE_ATTACK_WON
BadgeRanks: 4
Targets: "\nd\350\007"
}
}
Items {
anonymous
anonymous / GAME_MASTER_POKEMON_v0_2.tsv
Created July 16, 2016 19:26
Pokemon from GAME_MASTER protobuf file v0.2 in a .tsv
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 27 columns, instead of 12 in line 2.
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
anonymous
anonymous / poke.md
Created July 17, 2016 00:59
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
@rmkane
rmkane / GAME_DATA_HISTORY.json
Last active April 19, 2024 07:17
Pokemon GO - Game Data Statistics
[ {
"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 },
@vurtun
vurtun / _GJK.md
Last active June 17, 2025 15:16
3D Gilbert–Johnson–Keerthi (GJK) distance algorithm

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.

@munrocket
munrocket / wgsl_noise.md
Last active June 10, 2025 01:29
WGSL Noise Algorithms

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;
}
@p1xelHer0
p1xelHer0 / miniaudio_from_memory.odin
Created April 21, 2024 10:45
Play audio files from memory with Odin #load
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
@jakubtomsu
jakubtomsu / realtime_collision_detection.odin
Last active July 1, 2025 12:19
Port of some functions from 'Real Time Collision Detection' book by Christer Ericson to Odin
// 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.