victorhcm

Converting a gitlab export to simple git repo

• Initial credit to https://gist.github.com/maxivak/513191447d15c4d30953006d99928658

Gitlab exports a tar.gz file which contains a file called project.bundle. We can convert this file into a normal git repo using the following steps:

Extract the project.bundle file

$ tar xvfz GitLabExport.gz

victorhcm

Gitlab exports repositories to tar archive which contains .bundle files.

We have repo.bundle file and we want to restore files from it.

• create bare repo from bundle file

git clone --mirror myrepo.bundle my.git

victorhcm

#!/bin/python3

import os
import sys
import subprocess
import re


def run():
    arguments = sys.argv[1:]

victorhcm

1. Install CMake 3.5.2 on CentOS 7

   Download Source distributions cmake-3.5.2.tar.gz from https://cmake.org/download/
   ./bootstrap
   gmake
   sudo gmake install
   

2. Install libgpuarray on Centos 7

victorhcm

# =================================================
# SLURM UTILS
# =================================================

# sbatlog: runs sbatch and automatically tail -f slurm-$number.out
function sbatlog
{
    result=$(command sbatch "$@")
    outputid=$(echo $result | awk -F' ' '{print $NF}')
    # fileout="slurm-$outputid.out"  # assumes default file output name

victorhcm

import av
import numpy as np


def write_packets(filename, packets, video_stream):
    container = av.open(filename, mode='w')
    stream = container.add_stream(template=video_stream)
    stream.options = {}
    for p in packets:
        if p.dts is not None: 

victorhcm

#!/usr/bin/env python3

import sys
from hashlib import md5
from base64 import b64encode
from binascii import hexlify, unhexlify
from time import time


def reduction_function(hash, max_password_length):

victorhcm

victorhcm

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

victorhcm

name: "VGG_FACE_16_layer"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224
layer {
  name: "data"
  type: "Data"
  top: "data"