Shigeru Kobayashi kotobuki

How I tested

Clone the repository and install required files

git clone --recursive https://github.com/frianasoa/citeproc-js.git
git clone https://github.com/kotobuki/citeproc-js-based-replacer.git
cd citeproc-js-based-replacer
npm install
cp ../citeproc-js/citeproc_commonjs.js ./node_modules/citeproc

This code works fine with the UIFlow_Lite firmware versions between v1.7.5 and v1.9.6. However, the HTTP request fails with versions after v1.9.7, including v.12.2. If I change the URL to http://api.m5stack.com/v1, it also works fine with those versions. It seems that firmware versions after v1.9.7 only accept the URL for GET HTTP requests.

Atom Lite
UIFlow v.12.2

	NO.89
	denha’s channel でんはちゃんねる
	「音・光・動き」のガジェッツ、大集合！
	https://www.iamas.ac.jp/ommf2024/maker/denhas-channel/

	#OMMF2024

	NO.78
	BotaLab
	光る日本刀とゆかいなロボットたち
	https://www.iamas.ac.jp/ommf2024/maker/botalab/

	#OMMF2024

	NO.35
	エレクトロニコス・ファンタスティコス！（名古屋 Orchest-Lab）
	エレクトロニコス・ファンタスティコス！
	https://www.iamas.ac.jp/ommf2024/maker/electronicos-fantasticos-nagoya/

	#OMMF2024

	{
	"title": "Zoom",
	"rules": [
	{
	"description": "Map eject to command + shift + a",
	"manipulators": [
	{
	"type": "basic",
	"from": {
	"consumer_key_code": "eject"

	#include <M5StickC.h>
	#include <BLEDevice.h>

	// Define the position and orientation of the two points where your Core Cube will move
	const unsigned int left = 98;
	const unsigned int top = 142;
	const unsigned int right = 402;
	const unsigned int bottom = 358;
	const unsigned int blockWH = 43;
	const unsigned int startX = right - blockWH;

	import audio
	import gc
	import image
	import lcd
	import sensor
	import sys
	import time
	import uos
	import os
	import KPU as kpu

	# Original: https://iotdiary.blogspot.com/2019/07/maixpy-go-mobilenet-transfer-learning.html
	# Slightly modified for M5StickV
	import sensor
	import image
	import lcd
	import KPU as kpu
	lcd.init()
	lcd.rotation(2)
	sensor.reset()
	sensor.set_pixformat(sensor.RGB565)

	<body>
	<fieldset>
	<legend>1. Train</legend>
	<p>Specify a label for images, press the button to upload images for training. Once finished adding images for all labels, press the Train button to start training.</p>
	<div>
	<label for="labelForImages">Label for the images:</label>
	<input type="text" id="labelFormages" name="labelForImages" />
	</div>
	<div>
	<label for="imagesToTrain">Images to train:</label>