经过几手转发，从 Telegram 上面发现了一个解谜游戏，名叫《Project Nano》。至于它是什么《Nazo: Phi Project》的回应云云的一系列经纬我也不得而知了。当然，至于为什么要叫做「不完整解谜记录」，单纯是因为俺太菜，卡了不知多少次关，而且（暂时还）没有解出来而已。就是这样。感谢各位大佬的倾力提示（有时候差点答案就出来了）终于完成了这个记录。
其实本来还想过要不要用英文写这篇文章，后来想了想题目都是中文的，翻译起来还麻烦，就还是用中文好了。
TL;DR: because their spam detection strategy is horrible.
『初音ミクの消失』はボカロ曲と出会って8年間で一番多く聞いたり、歌ったりしてる曲です。この曲は僕の成長と伴っていくつかの月日を経った。今でも、あの「信じたものは、都合のいい妄想を繰り返し映し出す鏡」は僕のサブ座右の銘的な存在担ってるんだ。
日本語能力はまだまだなので、お見苦しいところは申し訳ありません。もし良ければコメント欄でご指摘いただければ幸いです。
前段时间在某群里聊到了这个话题，感觉蛮有意思的，所以拿出来讲一下。即使中日韩范围里面，数字的写法其实并不尽相同。只有「一」到「一万」这一部分应该可以很安全的说是「没有异议」的。其他的地方都会或多或少的有一些歧义存在。
Update 6 July 2020: Added alternative method using Riru Location Report Enabler.
Galaxy Wearable Store (GWS) is the app store for Galaxy wearable devices of Samsung. GWS is strongly region-dependent, just like other aspects of the device (you have to do some software hacking for a device purchased in one region to use Samsung Pay in another region). Being able to run with non-Samsung devices means that it cannot rely on the region-of-sale on the phone (and for some reason they didn’t choose to use the region of the device), GWS decided to use the region of your SIM card on the device to determine the store location.
Title should have explained it all. A simple Python script to monitor if a certain device has connected to the router via Wi-Fi, and send notifications accordingly. You can use this script for whatever purpose you want1I used it to monitor whether my parent has left home when I am “seemingly asleep”. , though probably you might not be able to find one like most of others.
To use this script, you need SSH access to the router, something in your LAN that is always running (in my case, a Raspberry Pi), and the list of MAC addresses to monitor. In this example, I am using an Asus RT-AC1200GU as the router. Other brand or make might need a different command.
Yet another post that has something to do with Telegram. Yeah, I know, but there’s never such thing as too much when you talk about blog articles.
A lot of people around my Telegram circle has been maintaining their own channels, and a lot of them has had a few hundreds or even thousands of subscribers. I think that I may make one too, but I also don’t want to give up with my Twitter account which is more accessible to search engines. So why not sync my tweets to the channel? Given the openness of both Telegram and Twitter, this shouldn’t be much of an issue.
このブログの他の記事と同じ、この記事も自分のオープンソースプロジェクトを作るときに発見したものである。音楽ライブラリーのタイトル、歌詞などのデータに読みがなをつけたいときに、中国語と日本語のテキストを区別する方法が欲しかった。ボクの音楽ライブラリーに中国語、日本語とアルファベット系の言語しかなかった。アルファベット系の言語は大した処理をいらす、簡単にソートすることができるだが、中国語と日本語はそんなに簡単ではなかった、特に漢字に対する処理の仕方が違う。
和博客里其他大多数的文章一样，这篇文章也是来自我平时开发个人项目时候的发现。在处理我的音乐库、歌词和其他数据的标音时，我需要一种简单的方式来区分中文文本和日文文本。因为我的曲库里面基本上只有中文、日文和其他拉丁字母构成的语种。而那些拉丁语种不需要太多复杂的处理就能够直接自然的排序，而中文和日文就没有这么简单，尤其是两种语言在对汉字的处理上有着截然不同的方法的时候。
In both my previous and recent projects, I have been working with tags (metadata) of music files. One of the reason being I am rather particular about having a nicely organised library with all tag data aligned to the same format. Until recently while I was seeking for a solution to read and write tags of (potentially) all music formats1I only have MP3, FLAC, AIFF and M4A in my library, so that’s kinda all for me., and I encountered FFmpeg, the Swiss Army Knife of media processing.
FFmpeg has always been my go-to solution for processing media programmatically or in batch, and I have recently found the way to write into the tags of music files using it. The way of doing so might be a little verbose as everything have to fit into the command line interface with other components.