jeongho

Latency Comparison Numbers
--------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

EdwinChan

import concurrent.futures
import multiprocessing
import sys
import uuid

def globalize(func):
  def result(*args, **kwargs):
    return func(*args, **kwargs)
  result.__name__ = result.__qualname__ = uuid.uuid4().hex
  setattr(sys.modules[result.__module__], result.__name__, result)

jeongho

#yum install haproxy
#configure haproxy-cloudera.cfg
#haproxy -f /etc/haproxy/haproxy-cloudera.cfg
#http://seawolf-3.vpc.wonderland.com:1936/
#https://cbonte.github.io/haproxy-dconv/

global
    daemon
    nbproc 1
    maxconn 100000

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

mikeyk

#! /usr/bin/env python
from boto.ses.connection import SESConnection
import os
import sys
import subprocess
import socket

TMPFILE = '/var/run/postgresql/last-wal-archive-error-file.tmp'

if __name__ == '__main__':

jnatkins

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <!-- Replace the group ID with your group ID -->
  <groupId>com.mycompany.hadoopproject</groupId>
  <!-- Replace the artifact ID with the name of your project -->
  <artifactId>my-hadoop-project</artifactId>
  <version>1.0-SNAPSHOT</version>
  <packaging>jar</packaging>

phred

---
####
#### THIS IS OLD AND OUTDATED
#### LIKE, ANSIBLE 1.0 OLD.
####
#### PROBABLY HIT UP https://docs.ansible.com MY DUDES 
####
#### IF IT BREAKS I'M JUST SOME GUY WITH
#### A DOG, OK, SORRY
####

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD