(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. |
import { | |
Component, | |
ContentChildren, | |
Input, | |
QueryList, | |
TemplateRef, | |
} from '@angular/core'; | |
@Component({ | |
selector: 'pxa-tree-table', |
# 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")}, | |
{ |