Version 0.1
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/*
* This is an in-depth description of the save block format. Its format is as follows:
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* Sectors 0 - 13: Save Slot 1
This document is a proposal for how the map data for gen 3 decomps could be converted to a data representation that isn't raw assembler and C. The goal of this data conversion would be to make it simpler for external tools to work with the data. Working directly with assembler and C code takes more effort, is more error-prone, and is less extensible. JSON files are used in this document as the chosen data representation because JSON is widely supported and simple enough for a human to read. The chosen format could potentially be something else, but it should be widely supported (i.e. no custom formats). The work for this proposal is split into several parts:
Each map will move its data into a si
# pokemap2json.py | |
# This script will process a pokeruby or pokeemerald project and generate the map data JSON files for it. | |
# It creates: | |
# data/maps/map_groups.json | |
# data/layouts/layouts.json | |
# data/maps/<map_name>/map.json | |
# | |
# In order to convert your project to use the new JSON map data, perform the following steps: | |
# 1. Run pokemap2json.py on your project. | |
# Example: "python pokemap2json.py emerald path/to/my/project" |
# This script will convert some map json fields from integers to strings. | |
# Place this script in data/maps directory, and run it. | |
# python 3 version of the script | |
import re | |
import glob | |
for filepath in glob.iglob('./**/map.json', recursive=True): | |
with open(filepath) as file: |
# pokemap2json.py | |
# This script will process a pokeemerald project and generate the wild encounters JSON data for it. | |
# It creates: | |
# src/data/wild_encounters.json | |
# | |
# In order to convert your project's existing data from src/data/wild_encounters.h: | |
# 1. Merge pret/master. | |
# 2. Run wildencounters2json.py on your project. | |
# Example: "python wildencounters2json.py path/to/my/project" | |
# 3. Commit the src/data/wild_encounters.json file it creates. |
script BugContestOfficer_EnterContest | |
{ | |
if (var(VAR_BUG_CONTEST_PRIZE) != ITEM_NONE) { | |
bufferitemname(0, VAR_BUG_CONTEST_PRIZE) | |
msgbox(BugContestOfficer_Text_GivePrizeItem) | |
giveitem_std(VAR_BUG_CONTEST_PRIZE) | |
if (var(VAR_RESULT)) { | |
setvar(VAR_BUG_CONTEST_PRIZE, ITEM_NONE) | |
} else { | |
msgbox(BugContestOfficer_Text_NoRoomInBag) |
package main | |
import ( | |
"bytes" | |
"fmt" | |
"io/ioutil" | |
"os" | |
"path/filepath" | |
"strings" | |
) |
const ( | |
copyByte = iota | |
copyBackReference | |
copyPairs | |
) | |
type command struct { | |
action int | |
length int | |
distance int |
package main | |
import ( | |
"encoding/binary" | |
"image" | |
"image/color" | |
"image/draw" | |
"image/png" | |
"io/ioutil" | |
"os" |
# This is a hacky thrown-together script that procedurally | |
# generates Gen-3 Pokemon region map images. I intend to build | |
# an online tool to facilitate this, but this is the first | |
# proof of concept. | |
# | |
# Requires the opensimplix, Pillow, and scikit-learn: | |
# pip install opensimplex | |
# pip install Pillow | |
# pip install -U scikit-learn |