QR-Code-generator
rupy
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QR-Code-generator | rupy | |
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20 | 31 | |
4,848 | 136 | |
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4.7 | 1.1 | |
3 months ago | about 1 year ago | |
Java | Java | |
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QR-Code-generator
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How to make a QR code with Stable Diffusion
The funny thing is that no-one AFAICT has realized that the same content can be encoded in different-looking QR codes. Beside the obvious (different error-correction levels), the content itself can be changed while maintaining its semantic meaning (e.g. "https://example.com/foo", "HTTPS://EXAMPLE.COM/foo", or "HtTpS://eXaMpLe.CoM/foo" are all semantically identical) and even the QR encoding itself can be tweaked (e.g. by changing the version and mask, see the demo on https://www.nayuki.io/page/qr-code-generator-library). Each combination would yield a different-looking QR code that would encode the same meaning, and it could therefore allow the diffusion models even greater freedom.
I'm sure somebody will get to this soon.
- QR Code Authentication to perform a function
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I want to secure my btc for a long term hold, but I don't know if I feel comfortable with cold storage.
Make a hidden Veracrypt vault on cold computer. Inside the Veracrypt vault save Keepassxc vaults. Store your seeds inside the Keepassxc vaults. For a paper backup, encrypt your seeds using an offline AES256/512 text encryptor/decryptor. Encode the encrypted text using an offline qrcode generator. Print out the qrcode. Test recovery using a dummy wallet. Be sure you can scan and decrypt. Bonus: Laser etch the qrcodes on metal plates. Make a multi-factor recovery vault, in case you forget your passwords. Shimar's secret sharing scheme is a useful tool for making your recovery vault. Never store your seed unencrypted anywhere, ever. Never input your seed on an online computer, ever. Always protect your seeds with something you know (password), something you have (vaults and keyfiles). Do not upload your vault to the cloud. Keep backups in multiple locations. Necessary tools: Cold computer: Any old computer will do. Just physically disable network access. Veracrypt: https://www.veracrypt.fr/code/VeraCrypt/ KeepassXC: https://keepassxc.org/ Cross-platform, open-source text string encryptor. https://github.com/a3diti/aes256-offline/ Cross-platform, open source QR code generators: https://kazuhikoarase.github.io/qrcode-generator/js/demo/ https://github.com/amanuel/JS-HTML5-QRCode-Generator https://github.com/nayuki/QR-Code-generator Shamir's Secret Sharing: https://github.com/paritytech/banana\_split
- Safe place for store keys? safe from robbers and from natural disasters. Any suggestion?
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What are some best practices for securely storing my 12-word seed phrase and how can I recover my funds if I accidentally lose or forget my seed phrase?
Necessary tools: Cold computer: Any old computer will do. Just disable network access. Veracrypt: https://www.veracrypt.fr/code/VeraCrypt/ KeepassXC: https://keepassxc.org/ Cross-platform, open-source text string encryptor. https://github.com/a3diti/aes256-offline/ Cross-platform, open source QR code generators: https://kazuhikoarase.github.io/qrcode-generator/js/demo/ https://github.com/amanuel/JS-HTML5-QRCode-Generator https://github.com/nayuki/QR-Code-generator Cross-platform, open-source text string encryptor. https://github.com/a3diti/aes256-offline/ Shamir's Secret Sharing: https://github.com/paritytech/banana\_split
- How do you safely store/hide your seed phrase from your family?
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Ever wondered how a QR code works?
I probably know this only because back in time I wrote a QR code generator in JavaScript [1] which was also one of such libraries reviewed by Nayuki [2], and as I haven't actually implemented a decoder my knowledge stops there. Sorry :-)
[1] https://github.com/lifthrasiir/qr.js
[2] https://www.nayuki.io/page/qr-code-generator-library
- Can someone help me with this QR code generator?? Willing to pay for help if needed!!
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Barcode Detection API
I guess it helps to understand how to generate a QR code: https://www.nayuki.io/page/qr-code-generator-library (see also the references at the end)
Good luck. ;-)
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qr code encoding
i think i found what i was looking for
rupy
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Considerations for a long-running Raspberry Pi
I have been running a Raspberry 2 cluster for 10 years: http://host.rupy.se
A few weeks back the first SD card to fail got so corrupted it failed to reboot!
My key learning is use oversized cards, because then the bitcycle will wear slower!
I'm going from 32GB to 256/512/1024!
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What Kind of Asynchronous Is Right for You?
How this article does not mention SSE, comet or chunking escapes me.
What does their definition of event-driven really look like in practice.
Nobody has a clue.
Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse
The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.
That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.
But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.
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An unknown Swedish startup’s €3B bid to build a green rival to AWS
The hardware is peaking.
So software is where you can make the difference: http://host.rupy.se
- Sandstorm: Open-source platform for self-hosting web app
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You Want Modules, Not Microservices
I think we're all confused over the definition. Also one might understand what all the proponents are talking about better if they think about this more as a process and not some technological solution:
https://github.com/tinspin/rupy/wiki/Process
All input I have is you want your code to run on many machines, in fact you want it to run the same on all machines you need to deliver and preferably more. Vertically and horizontally at the same time, so your services only call localhost but in many separate places.
This in turn mandates a distributed database. And later you discover it has to be capable of async-to-async = no blocking ever anywhere in the whole solution.
The way I do this is I hot-deploy my applications async. to all servers in the cluster, this is what a cluster node looks like in practice (the name next to Host: is the node): http://host.rupy.se if you click "api & metrics" you'll see the services.
With this not only do you get scalability, but also redundancy and development is maintained at live coding levels.
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I wish my web server were in the corner of my room
I have hosted my own web server both physically and codevise since 2014.
It's on a Raspberry 2 cluster:
http://host.rupy.se
Since 2016 i have my own database also coded from scratch:
http://root.rupy.se
We need to implement HTTP/1.1 with less bloat, a C non-blocking web server that can share memory between threads is probably the most interesting project for humans right now, is anyone working on that?
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Ask HN: Free and open source distributed database written in C++ or C
I have one in Java: https://github.com/tinspin/rupy
Here is the 2000 lines of code of the entire database: http://root.rupy.se/code?path=/Root.java
And here you can try it out: http://root.rupy.se
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Dokku – Free Heroku Alternative
The smallest PaaS you have ever seen is one order of magnitude larger than mine: https://github.com/tinspin/rupy
And I bet you the same goes for performance, if not two!
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Server-Sent Events: the alternative to WebSockets you should be using
The data is here: http://fuse.rupy.se/about.html
Under Performance. Per watt the fuse/rupy platform completely crushes all competition because of 2 reasons:
- Event driven protocol design, averages at about 4 messages/player/second (means you cannot do spraying or headshots f.ex. which is another feature in my game design opinion).
- Java's memory model with atomic concurrency which needs a VM and GC (C++ copied that memory model in C++11, but it failed completely because they lack both VM and GC, but that model is still to this day the one C++ uses), you can read more about this here: https://github.com/tinspin/rupy/wiki
You can argue those points are bad arguments, but if you look at performance per watt with some consideration for developer friendlyness, I'm pretty sure in 100 years we will still be coding minimalist JavaSE on the server and vanilla C (compiled with C++ compiler) on the client.
- Jodd – The Unbearable Lightness of Java
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