We are trying to combine the idea of SWR ("stale-while-revalidate") and React Suspense together, and this write-up covers all our findings from this journey.
When React Hooks launched, people started to rely on useEffect to initiate data fetching:
function User () {
| def html2markdown(self, html): | |
| # convert html to markdown. | |
| # specification: | |
| # remove all tag exccept tags listed in the cleanbody._repl | |
| # when p/div tags are in the table tag, markdown converter (htmlformatter) | |
| # confuses. so it is removed | |
| # we need following in the header | |
| # import re, html2text | |
| # from bs4 import BeautifulSoup |
| # install_certifi.py | |
| # | |
| # sample script to install or update a set of default Root Certificates | |
| # for the ssl module. Uses the certificates provided by the certifi package: | |
| # https://pypi.python.org/pypi/certifi | |
| import os | |
| import os.path | |
| import ssl | |
| import stat |
FROM https://www.reddit.com/r/Fedora/comments/zmvkdj/8bitdo_ultimate_bluetooth_controller_working_in/
I've bought this new controller from 8BitDo and wished to use on linux, to my sadness the controller didn't work out of the box, neither by cable, the 2.4G dongle or bluetooth.
So I've tried a number of solutions and this one from u/GodOfEmus over in the 8bitdo community was the one to work for me:
| !function(e,t){"object"==typeof exports&&"object"==typeof module?module.exports=t(require("path"),require("child_process"),require("os"),require("fs")):"function"==typeof define&&define.amd?define(["path","child_process","os","fs"],t):"object"==typeof exports?exports["app"]=t(require("path"),require("child_process"),require("os"),require("fs")):e["app"]=t(e["path"],e["child_process"],e["os"],e["fs"])}(this,function(e,t,s,i){return(e=>{function t(i){if(s[i])return s[i].exports;var r=s[i]={i,l:!1,exports:{}};return e[i].call(r.exports,r,r.exports,t),r.l=!0,r.exports}var s={};return t.m=e,t.c=s,t.d=((e,s,i)=>{t.o(e,s)||Object.defineProperty(e,s,{configurable:!1,enumerable:!0,get:i})}),t.n=(e=>{var s=e&&e.__esModule?function(){return e["default"]}:function(){return e};return t.d(s,"a",s),s}),t.o=((e,t)=>Object.prototype.hasOwnProperty.call(e,t)),t.p="",t(t.s=1)})([(e,t,s)=>{"use strict";Object.defineProperty(t,"__esModule",{value:!0}),t.default={APP:{NAME:"MonokaiPro-VSCode", | |
| THEMES:["Monokai Pro","Monokai Pro (F |
The problem with large language models is that you can’t run these locally on your laptop. Thanks to Georgi Gerganov and his llama.cpp project, it is now possible to run Meta’s LLaMA on a single computer without a dedicated GPU.
There are multiple steps involved in running LLaMA locally on a M1 Mac after downloading the model weights.
| #!/bin/bash | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### | |
| ### to verify your gpu is cuda enable check |
Oh boi, here I give you the solution for that. This document is based on these links:
My solution seems to be deprecated, there are other solution from the comment on this Gist, that actually works. So, please use that instead, it's way much simpler, and it works.
