sunyi00

// ==UserScript==
// @name           RepeatFM
// @namespace      org.kejun
// @description    FM单曲循环(纯属个人瞎玩, 要求Firefox4+)
// @include        http://douban.fm, http://douban.fm/*
// ==/UserScript==

var isRepeat = localStorage.getItem('is_repeat_fm')|0;

function importCSS(str) {

sunyi00

Elasticsearch introduced Snapshot and Restore API in Elasticsearch 1.0. With this module you can take backup/restore of the data easily.

To take snapshots or to restore them, first you need to create a repository. A repository is a just like allocating an address to your snapshots.

A repository can contain as many snapshots as you would like, and you can create any number of repositories.

Each repository is mapped to a location where your snapshot files will be stored. Elasticsearch first started with snapshots to FileSystem location, now you can take snapshots to Remove locations like AWS S3 directly.

Elasticsearch currently supports snapshtos to AWS S3,

sunyi00

-- Disable SIP (csrutil disable)
   ref: https://github.com/pypa/virtualenv/issues/2023

-- Run SHELL as x86_64 mode
arch -x86_64 $SHELL
   ref: https://sspai.com/post/63935

-- uninstall arm 64 brew (if needed)
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall)"

sunyi00

Copyright (c) 2021 Justin M. Fear

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

sunyi00

#!/bin/sh

# Format python source codes with autopep8 on changed lines.
#
# Usage:
#   format all uncommitted lines:
#   > p8ln
#
#   format file:
#   > p8ln a.py b.py

sunyi00

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin
wget "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/${MODEL}"