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@danielgross
danielgross / mathpix2gpt.py
Last active July 11, 2024 15:11
mathpix2gpt.py
import requests
import time
import os
import sys
import openai
import tiktoken
from termcolor import colored
openai.api_key = open(os.path.expanduser('~/.openai')).read().strip()
@kk-r
kk-r / pre-commit
Last active May 29, 2018 07:50
Git pre-commit Hook for PHPCS standards ( copy and paste inside your project .git/hooks/pre-commit file). Please make sure pre-commit file should have permission to execute. And simply add this directory to your PATH in your ~/.bash_profile (or ~/.bashrc) like this: ` export PATH=~/.composer/vendor/bin:$PATH `
PROJECT=`php -r "echo dirname(dirname(dirname(realpath('$0'))));"`
STAGED_FILES_CMD=`git diff --cached --name-only --diff-filter=ACMR HEAD | grep \\\\.php`
# Determine if a file list is passed
if [ "$#" -eq 1 ]
then
oIFS=$IFS
IFS='
'
SFILES="$1"
@prenagha
prenagha / init.lua
Created September 30, 2016 00:36
Hammerspoon Config File, Hyper Key, Karabiner-Elements
-- hattip https://github.com/lodestone/hyper-hacks
-- hattip https://gist.github.com/ttscoff/cce98a711b5476166792d5e6f1ac5907
-- A global variable for the sub-key Hyper Mode
k = hs.hotkey.modal.new({}, 'F18')
-- Hyper+key for all the below are setup somewhere
-- The handler already exists, usually in Keyboard Maestro
-- we just have to get the right keystroke sent
@denji
denji / nginx-tuning.md
Last active July 20, 2024 17:33
NGINX tuning for best performance

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.