mrsipan

import sys
import json
import argparse


def main(args_list=None):
    parser = argparse.ArgumentParser()
    parser.add_argument('--cert-path', help='cert path')
    parser.add_argument('--intermediate-path', help='inter path')
    parser.add_argument('--key-path', help='key path')

mrsipan

# Use: python files_from_ssl_bag.py <path-to-data-bag-ssl-in-chef>
import os
import json
import argparse
import tempfile

def main(args=None):

    parser = argparse.ArgumentParser()
    parser.add_argument('data_bag_path', help='data bag path')

mrsipan

ZOO_LOG4J_PROP="INFO,ROLLINGFILE"
ZOO_LOG_DIR="/var/log/zookeeper/"

mrsipan

#!/bin/sh -vex

# needed rpms
yum -y install ncurses-devel git gcc rpmbuild

TEMPDIR="$(mktemp -d)"
HERE="$(pwd)"

printf "building at: %s\n" $TERMDIR
cd $TEMPDIR

mrsipan

sudo yum -y install lxc curl zc-utils go git mercurial

export GOPATH=/opt/go
export PATH=$GOPATH/bin:$PATH

mkdir -p $GOPATH/src/github.com/dotcloud
cd $GOPATH/src/github.com/dotcloud
git clone https://github.com/dotcloud/docker.git
cd docker

mrsipan

1. Create an app following the official Shadow-CLJS Quick Start instructions.
2. Modify shadow-cljs.edn

;; shadow-cljs configuration
{:source-paths
 ["src/dev"
  "src/main"
  "src/test"]

 ;; ADD - CIDER middleware for nREPL (required by fireplace.vim)

mrsipan

;; -*- mode: emacs-lisp -*-

;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default

mrsipan

build_python() {
  if [ -z $1 ]; then
    printf "use: $FUNCNAME <destination-dir> <python-version>\n
    For example: $FUNCNAME ~/opt/py 3.4.2\n\n"
    return 1
  fi

  directory=$1
  python_version=$2
  cwd="`pwd`"

mrsipan

build_python() {
  if [ -z $1 ]; then
    printf "use: $FUNCNAME <destination-dir> <python-version>\n
    For example: $FUNCNAME ~/opt/py 3.10.8\n\n"
    return 1
  fi

  directory=$1
  python_version=$2
  cwd=`pwd`

mrsipan

./main --color --threads 7 --batch_size 256 --n_predict -1 --top_k 12 --top_p 1 \
       --temp 0.36 --repeat_penalty 1.05 --ctx_size 2048 --instruct \
       --reverse-prompt "### Human:" \
       --model  ./models/13B/ggml-vicuna-13b-4bit.bin \
       -f prompts/vicuna.txt
       
       
printf 'A chat between a curious human and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the human's questions.' > prompts/vicuna.txt