Keith Sheppard keithshep

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

	import 'package:flutter/cupertino.dart';
	import 'package:flutter/material.dart';

	void main() {
	runApp(MyApp());
	}

	class MyApp extends StatelessWidget {
	@override
	Widget build(BuildContext context) {



	# first open the file in read/write mode
	with h5py.File('/path/to/file.h5', 'r+') as gait_h5:

	# loop through all the videos. Here we assume current video is:
	# LL1-B2B/2018-08-22_SPD/LL1-2_003890-F-AX11-5.28571428571429-43291-2-K1808155.avi

	# ... somehow get your residual values into a numpy array for current video. This has to be
	# done for all variables you're correcting for. Here using step_width as an example.

	# this function echos "true" when the first argument string starts
	# with the second
	function startswith() {
	if [[ "${1[1, ${#2}]}" == "$2" ]]
	then
	echo 'true'
	fi
	}

	# scan for and process .dirconf properties files where each lines is a

	#!/bin/sh
	#
	# chkconfig: 345 95 05
	# description: celery daemon configured to work with the haploqa application

	# If we're invoked via SysV-style runlevel scripts we need to follow the
	# link from rcX.d before working out the script name.
	if [[ `dirname $0` == /etc/rc*.d ]]; then
	target="$(readlink $0)"
	else

	DEBUG = True
	PORT = 5000
	#MONGO_SERVER = 'localhost'
	MONGO_SERVER = 'xyz.ppp.org'
	MONGO_PORT = 27017
	MONGO_DATABASE = 'xyz_db'

	# the following values enumerate all possible shapes you can use for 'level_shapes' in
	# the WEB_APP_CONF below
	CIRCLE = "circle"

	import itertools
	import math

	import numpy as np
	from scipy import linalg
	import matplotlib.pyplot as plt
	import matplotlib as mpl
	import pylab

	from sklearn import mixture

	// remove field from all samples
	db.getCollection('samples').update({}, {'$unset': {'viterbi_haplotypes': 1}}, {multi: true})

	// initialize fields in all samples
	db.getCollection('samples').update({}, {'$set': {'viterbi_haplotypes': {}}}, {multi: true})

	// how to slice without getting everything you don't care about
	db.getCollection('samples').find(
	{'_id': ObjectId("55e9cf1a6606af0e6e5cb5a1")},
	{