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Don't use VPN services.

No, seriously, don't. You're probably reading this because you've asked what VPN service to use, and this is the answer.

Note: The content in this post does not apply to using VPN for their intended purpose; that is, as a virtual private (internal) network. It only applies to using it as a glorified proxy, which is what every third-party "VPN provider" does.

A Russian translation of this article can be found here, contributed by Timur Demin.
A Turkish translation can be found here, contributed by agyild.
There's also this article about VPN services, which is honestly better written (and has more cat pictures!) than my article.

# Сначала примеры на реальных данных
/tmp
❯ wget -q https://cve.mitre.org/data/downloads/allitems-cvrf.xml

/tmp 53s
❯ ls -ahl allitems-cvrf.xml      
-rw-r--r-- 1 sergey sergey 345M Jul 26 12:45 allitems-cvrf.xml

/tmp

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FormatStyles and You

An Xcode Playground that contains examples of the various options available to you when you use the new FormatStyle protocol in iOS 15.

Read the series on my blog:

https://ampersandsoftworks.com/posts/formatstyle-deep-dive/

Download the Xcode Playground:

Fabric/Quilt Server Optimization

This has updated for 1.20.4, all of the optimization mods mentioned here are compatible with each other and don't affect vanilla behaviour by default.

Mods

Lithium - A mod designed to drastically improve the general performance of Minecraft without breaking things.

VMP - A mod designed to improve general server performance at high playercount.

	// programmatic view controller
	/*
	usage:

	override func viewDidLoad() {
	super.viewDidLoad()

	let newViewController = NewViewController(string: "Hello")
	addChildViewController(newViewController, in: view)
	}

	# This supports merging as many adapters as you want.

	# python merge_adapters.py --base_model_name_or_path <base_model> --peft_model_paths <adapter1> <adapter2> <adapter3> --output_dir <merged_model>

	from transformers import AutoModelForCausalLM, AutoTokenizer
	from peft import PeftModel
	import torch
	import os
	import argparse

	import tiktoken
	import langdetect
	T = tiktoken.get_encoding("o200k_base")

	length_dict = {}

	for i in range(T.n_vocab):
	try:
	length_dict[i] = len(T.decode([i]))
	except:

	$ git remote rm origin
	$ git remote add origin git@github.com:aplikacjainfo/proj1.git
	$ git config master.remote origin
	$ git config master.merge refs/heads/master

	r"^998([378]{2}\|(9[013-57-9]))\d{7}$"

	100% works in all Uzbekistan to phone numbers