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# stop script on error signal | |
set -e | |
# remove old deployment folders | |
if [ -d "/home/forge/weather-deploy" ]; then | |
rm -R /home/forge/weather-deploy | |
fi | |
if [ -d "/home/forge/weather-backup" ]; then | |
rm -R /home/forge/weather-backup | |
fi |
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function usbhid(vendor_id, product_id) { | |
this.product_id = product_id; | |
this.vendor_id = vendor_id; | |
this.buffer_1 = new Object(); | |
this.buffer_2 = new Object(); | |
this.xpcom = Components.classes["@firechip.info/hidapi;1"].createInstance().QueryInterface(Components.interfaces.nsIHid); | |
this.manufacturer_string = function() { | |
alert(this.xpcom.manufacturer_string); | |
} | |
this.product_string = function() { |
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################################ | |
gource commands | |
################################ | |
# basic command for big and long projects | |
gource --max-user-speed 500 --seconds-per-day 0.05 --file-idle-time 10 -e 0.005 -f --max-files 300 --hide-files | |
# some easy to understand commands | |
# for output file | |
--output-ppm-stream ~/ppm/ppm-kohana |
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<!doctype html> | |
<script> | |
if ("WebSocket" in window) { | |
var ws = new WebSocket("ws://127.0.0.1:31339"); | |
ws.onopen = function() { | |
console.log('connected'); | |
}; | |
ws.onerror = function(e) { |
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import cv2 | |
import cv2.cv as cv | |
def detect(img, cascade_fn='haarcascades/haarcascade_frontalface_alt.xml', | |
scaleFactor=1.3, minNeighbors=4, minSize=(20, 20), | |
flags=cv.CV_HAAR_SCALE_IMAGE): | |
cascade = cv2.CascadeClassifier(cascade_fn) | |
rects = cascade.detectMultiScale(img, scaleFactor=scaleFactor, |
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function transfer | |
if test (count $argv) -eq 0 | |
echo "No arguments specified. Usage:\necho transfer /tmp/test.md\ncat /tmp/test.md | transfer test.md" | |
return 1 | |
end | |
## get temporarily filename, output is written to this file show progress can be showed | |
set tmpfile ( mktemp -t transferXXX ) | |
## upload stdin or file |
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# Add to nginx.conf http section | |
map $http_upgrade $connection_upgrade { | |
default upgrade; | |
'' close; | |
} |
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/* | |
This example shows how you can use your data structure as a basis for | |
your Firebase security rules to implement role-based security. We store | |
each user by their Twitter uid, and use the following simplistic approach | |
for user roles: | |
0 - GUEST | |
10 - USER | |
20 - MODERATOR |
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import nltk | |
with open('sample.txt', 'r') as f: | |
sample = f.read() | |
sentences = nltk.sent_tokenize(sample) | |
tokenized_sentences = [nltk.word_tokenize(sentence) for sentence in sentences] | |
tagged_sentences = [nltk.pos_tag(sentence) for sentence in tokenized_sentences] | |
chunked_sentences = nltk.batch_ne_chunk(tagged_sentences, binary=True) |