Yixing Lao yxlao

Use these rapid keyboard shortcuts to control the GitHub Atom text editor on macOS.

Key to the Keys

start new:

tmux

start new with session name:

tmux new -s myname

Prereq:

apt-get install zsh
apt-get install git-core

Getting zsh to work in ubuntu is weird, since sh does not understand the source command. So, you do this to install zsh

	from tf_logger import TFLogger


	""" Example of using TFLogger to save train & dev statistics. To visualize
	in tensorboard simply do:

	tensorboard --logdir /path/to/summaries

	This code does depend on Tensorflow, but does not require that your model
	is built using Tensorflow. For instance, could build a model in Chainer, then

	{0: 'tench, Tinca tinca',
	1: 'goldfish, Carassius auratus',
	2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
	3: 'tiger shark, Galeocerdo cuvieri',
	4: 'hammerhead, hammerhead shark',
	5: 'electric ray, crampfish, numbfish, torpedo',
	6: 'stingray',
	7: 'cock',
	8: 'hen',
	9: 'ostrich, Struthio camelus',

	cmake_minimum_required(VERSION 2.8.4)

	project(so29595222)

	find_package(PythonLibs REQUIRED)
	include_directories(${PYTHON_INCLUDE_DIRS})

	ADD_DEFINITIONS( -std=c++11 )

	set(SOURCE_FILES python_threading_example_so29595222.cpp)

	#!/usr/bin/env python3
	# -- coding: utf-8 --

	# Licensed under WTFPL or the Unlicense or CC0.
	# This uses Python 3, but it's easy to port to Python 2 by changing
	# strings to u'xx'.

	import itertools

	def num2chinese(num, big=False, simp=True, o=False, twoalt=False):

	#!/bin/bash

	### Command log to install Cuda Toolkit 6.5, driver 343.22, and ccminer.

	## Update the system
	sudo apt-get update && sudo apt-get -y dist-upgrade
	# All the dependencies for Cuda & ccminer (I think)
	sudo apt-get -y install gcc g++ build-essential automake linux-headers-$(uname -r) git gawk libcurl4-openssl-dev libjansson-dev xorg libc++-dev libgmp-dev python-dev

	#!/usr/bin/env python
	"""
	Standard Master/Slave design in mpi4py, collects results in a list and pickles them to a file.
	"""
	import ROOT

	from mpi4py import MPI
	import sys
	import cPickle as pick

	import os
	import sys
	import traceback
	from functools import wraps
	from multiprocessing import Process, Queue


	def processify(func):
	'''Decorator to run a function as a process.
	Be sure that every argument and the return value