Randomizes the warps in a stock pokeemerald repo.

Overview

pokeemerald warp randomizer

Randomizes the warps in a stock pokeemerald repo.

Usage Instructions

  • Install networkx and matplotlib via pip3 or similar.
  • Set POKEEMERALD environment variable to the path to your pokeemerald/ folder
  • Edit rand_idx at the top of the file to the seed to start searching from.
  • Ensure that the repo has not already been randomized, or the script will not work!
  • python3 randomizer.py
  • The script will search for randomized layouts which pass completability tests. This can take anywhere from a couple of minutes to an hour.
    • "Completable" is defined as a series of pathfinding routes from the first gym to the last gym to the Elite 4, including required story events and in-order. As such, it is highly likely that sequence breaks will allow faster completion. The pathfinding routes do not use Cut, Fly nor the bikes.
    • Current average amount of viable generated seeds is about 1 in 20,000.
  • After a seed is found, map JSONs will be modified and pokeemerald can be compiled

Notes

There are no guarantees on softlocking prevention, though several precautions are taken:

  • Littleroot Town is frozen to guarantee the player gets a Pokemon.
  • The Elite 4 are all frozen to enforce gym completion (but may be configurably unfrozen later?).
  • Petalburg Woods is currently frozen, but may be unfrozen later.
  • Mossdeep City Gym is frozen, due to complexity with verifying the puzzle can be completed with warps altered.
  • Petalburg Gym is frozen, due to doors being tied to trainers (high softlock potential).
  • Shoal Cave is frozen due to tides.
  • Trick House is frozen to prevent breakage.
  • Trainer Hill is frozen to prevent breakage.
  • Regi Tombs are frozen due to the Braille wall (but may be unfrozen later?).
  • The Mt. Chimney Cable Car is not randomized and will always travel between stations (the entrances and exits, however, are randomized).

Pathfinding Structure

  • By default, all warps are connected bidirectionally to a central node (ie, MAP_PETALBURG_CITY_WARP0..N will connect to MAP_PETALBURG_CITY)
  • Connections are a bidirectional edge between central map nodes (ie, MAP_PETALBURG_CITY <-> MAP_ROUTE102)
  • For maps with ledges, edges can be cut in either direction.
  • Maps with partitioning generally forgo the central node and connect warps directly to each other.
  • Edges which require HMs or story flags will have an additional attribute requires, and during the completion tests these edges are cut if flags haven't yet been obtained.
Owner
Max Thomas
I do reverse engineering work, vulnerability research, hardware drivers, modding tools and VR tinkering. Currently working at Ultraleap.
Max Thomas
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"

DRNet for Video Indvidual Counting (CVPR 2022) Introduction This is the official PyTorch implementation of paper: DR.VIC: Decomposition and Reasoning

tao han 35 Nov 22, 2022
Experiments for Operating Systems Lab (ETCS-352)

Operating Systems Lab (ETCS-352) Experiments for Operating Systems Lab (ETCS-352) performed by me in 2021 at uni. All codes are written by me except t

Deekshant Wadhwa 0 Sep 06, 2022
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition How Fast Compare to Other Zero-Shot NAS Proxies on CIFAR-10/100 Pre-trained Model

190 Dec 29, 2022
Graduation Project

Gesture-Detection-and-Depth-Estimation This is my graduation project. (1) In this project, I use the YOLOv3 object detection model to detect gesture i

ChaosAT 1 Nov 23, 2021
Codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing

Contrast and Mix (CoMix) The repository contains the codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Backgroun

Computer Vision and Intelligence Research (CVIR) 13 Dec 10, 2022
This is an unofficial PyTorch implementation of Meta Pseudo Labels

This is an unofficial PyTorch implementation of Meta Pseudo Labels. The official Tensorflow implementation is here.

Jungdae Kim 320 Jan 08, 2023
Script for getting information in discord

User-info.py Script for getting information in https://discord.com/ Instalação: apt-get update -y apt-get upgrade -y apt-get install git pkg install

Moleey 1 Dec 18, 2021
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •

Pytorch Lightning 21.1k Dec 29, 2022
HairCLIP: Design Your Hair by Text and Reference Image

Overview This repository hosts the official PyTorch implementation of the paper: "HairCLIP: Design Your Hair by Text and Reference Image". Our single

322 Jan 06, 2023
implement of SwiftNet:Real-time Video Object Segmentation

SwiftNet The official PyTorch implementation of SwiftNet:Real-time Video Object Segmentation, which has been accepted by CVPR2021. Requirements Python

haochen wang 64 Dec 14, 2022
「PyTorch Implementation of AnimeGANv2」を用いて、生成した顔画像を元の画像に上書きするデモ

AnimeGANv2-Face-Overlay-Demo PyTorch Implementation of AnimeGANv2を用いて、生成した顔画像を元の画像に上書きするデモです。

KazuhitoTakahashi 21 Oct 18, 2022
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia

RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph

Benjamin Warren 1 Jan 20, 2022
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

PyGAS: Auto-Scaling GNNs in PyG PyGAS is the practical realization of our G NN A uto S cale (GAS) framework, which scales arbitrary message-passing GN

Matthias Fey 139 Dec 25, 2022
Toward Multimodal Image-to-Image Translation

BicycleGAN Project Page | Paper | Video Pytorch implementation for multimodal image-to-image translation. For example, given the same night image, our

Jun-Yan Zhu 1.4k Dec 22, 2022
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation

PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation Winner method of the ICCV-2021 SemKITTI-DVPS Challenge. [arxiv] [

Yuan Haobo 38 Jan 03, 2023
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN) This is the implementation of the paper Multi-Age

Future Power Networks 83 Jan 06, 2023
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

English | 简体中文 | 繁體中文 State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained mo

Hugging Face 77.2k Jan 02, 2023
Pywonderland - A tour in the wonderland of math with python.

A Tour in the Wonderland of Math with Python A collection of python scripts for drawing beautiful figures and animating interesting algorithms in math

Zhao Liang 4.1k Jan 03, 2023
Zsseg.baseline - Zero-Shot Semantic Segmentation

This repo is for our paper A Simple Baseline for Zero-shot Semantic Segmentation

98 Dec 20, 2022
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Graph Wavelet Neural Network ⠀⠀ A PyTorch implementation of Graph Wavelet Neural Network (ICLR 2019). Abstract We present graph wavelet neural network

Benedek Rozemberczki 490 Dec 16, 2022