注意:本文内容适用于 Tmux 2.3 及以上的版本,但是绝大部分的特性低版本也都适用,鼠标支持、VI 模式、插件管理在低版本可能会与本文不兼容。
启动新会话:
tmux [new -s 会话名 -n 窗口名]
恢复会话:
| import imageio | |
| import os, sys | |
| class TargetFormat(object): | |
| GIF = ".gif" | |
| MP4 = ".mp4" | |
| AVI = ".avi" | |
| def convertFile(inputpath, targetFormat): | |
| """Reference: http://imageio.readthedocs.io/en/latest/examples.html#convert-a-movie""" |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
| """ | |
| 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) |
In the mid-80s, while reading through my roommate's collection of Scientific American back issues, I encountered this introduction to Lisp written by Douglas Hofstadter. I found it very charming at the time, and provide it here (somewhat illegally) for the edification of a new generation of Lispers.
In a testament to the timelessness of Lisp, you can still run all the examples below in emacs if you install these aliases:
(defalias 'plus #'+)
(defalias 'quotient #'/)
(defalias 'times #'*)
(defalias 'difference #'-)| #include <chrono> | |
| #include <vector> | |
| #include <string> | |
| #include <functional> | |
| #include <iostream> | |
| class benchmark { | |
| typedef std::conditional<std::chrono::high_resolution_clock::is_steady, std::chrono::high_resolution_clock, std::chrono::steady_clock>::type clock; | |
| typedef clock::time_point time_point; | |
| typedef clock::duration duration; |