Jiren Jin JirenJin

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

所得税額 = （所得金額（A）－所得控除額（B）） × 税率 - 税額控除額（C）

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

Function	Shortcut
New Tab	`⌘` + `T`
Close Tab or Window	`⌘` + `W` (same as many mac apps)
Go to Tab	`⌘` + `Number Key` (ie: `⌘2` is 2nd tab)
Go to Split Pane by Direction	`⌘` + `Option` + `Arrow Key`
Cycle iTerm Windows	`⌘` + `backtick` (true of all mac apps and works with desktops/mission control)

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare [email protected]:usi-systems/easytrace.git

	perl: warning: Setting locale failed.
	perl: warning: Please check that your locale settings:
	LANGUAGE = (unset),
	LC_ALL = (unset),
	LC_CTYPE = "UTF-8",
	LANG = "en_US.UTF-8"
	are supported and installed on your system.
	perl: warning: Falling back to the standard locale ("C").

	~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~

	Regex for matching ALL Japanese common & uncommon Kanji (4e00 – 9fcf) ~ The Big Kahuna!
	([一-龯])

	Regex for matching Hirgana or Katakana
	([ぁ-んァ-ン])

	Regex for matching Non-Hirgana or Non-Katakana
	([^ぁ-んァ-ン])

	Regex for matching Hirgana or Katakana or basic punctuation (、。’)

	"""
	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)

	# Working example for my blog post at:
	# http://danijar.com/variable-sequence-lengths-in-tensorflow/
	import functools
	import sets
	import tensorflow as tf
	from tensorflow.models.rnn import rnn_cell
	from tensorflow.models.rnn import rnn


	def lazy_property(function):