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import heapq | |
import itertools | |
nums = set(range(1,10)) | |
class Node: | |
def __init__(self, grid): | |
self.children = [] | |
self.grid = grid | |
self.answered = 0 | |
for i in self.grid: |
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public class CameraSurface extends SurfaceView implements Callback { | |
private Camera mCamera; | |
private SurfaceHolder mHolder; | |
private Context c; | |
private static final String CNAME = ScanActivity.class.getName(); | |
private PreviewCallback cb; | |
public CameraPreview(Context context, PreviewCallback cb) { | |
super(context); | |
this.c = context; |
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// Quadtree.js usage looks like: | |
var markers = []; // some array of google map markers | |
quadTree = new QuadTree(markers); | |
console.log("Built quadtree with size "+markers.length); | |
var bounds = map.getBounds(); | |
console.log("New Bounds"+bounds.toString()); | |
// find all points within the viewport bounding rectangle, | |
// or whatever rectangle you supply | |
var foundPoints = quadTree.queryRectangle(bounds); |
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from collections import Counter | |
import re, praw | |
print "Fetching unimportant words..." | |
import nltk | |
nltk.download('stopwords') | |
from nltk.corpus import stopwords | |
c = Counter() | |
r = praw.Reddit(user_agent='praw') | |
username = 'username' | |
print "Logging in as",username |
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\documentclass[11pt]{article} | |
\usepackage[english]{babel} | |
\usepackage{a4wide} | |
\usepackage[utf8]{inputenc} | |
\usepackage{natbib} | |
\usepackage{graphicx} | |
\usepackage{url} | |
\usepackage{amsmath} | |
\usepackage{amssymb} | |
\usepackage[T1]{fontenc} |
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public class BST<T extends Comparable<? super T>> { | |
private Node root; | |
private int size = 0; | |
public void insert(T value) { | |
root = insert(value,root); | |
} | |
/** |
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10.30.0.177 |
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2015-12-08T11:14:06.872092+00:00 heroku[router]: at=info method=GET path="/create/kw_energy_consumption" host=morning-meadow-1412.herokuapp.com request_id=5851ad11-5abd-4d10-aab0-5524f5ab8d08 fwd="121.45.152.138" dyno=web.1 connect=1ms service=156ms status=500 bytes=269 | |
2015-12-08T11:14:06.863757+00:00 app[web.1]: ERROR:com.numenta.nupic.tools.configuration_base:Error while parsing configuration file: None. | |
2015-12-08T11:14:06.863762+00:00 app[web.1]: Traceback (most recent call last): | |
2015-12-08T11:14:06.863764+00:00 app[web.1]: File "/app/.heroku/python/lib/python2.7/site-packages/nupic/support/configuration_base.py", line 338, in _readConfigFile | |
2015-12-08T11:14:06.863764+00:00 app[web.1]: " variable %r, which is not defined" % (varname)) | |
2015-12-08T11:14:06.863765+00:00 app[web.1]: RuntimeError: Attempting to use the value of the environment variable 'USER', which is not defined | |
2015-12-08T11:14:06.867657+00:00 app[web.1]: ERR: Unable to create region Classifier of type CLAClassifierRegion [/home/t |
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C:\Users\Jonathan\Documents\GitHub\htm-over-http\test [master +1 ~0 -0 !]> python .\hotgym.py | |
Feed the data from rec-center-hourly.csv into the | |
htm REST API and compare the results with the | |
standard results provided in the tutorial | |
Made model 25b22f16-196a-4fcf-af5a-1c5d9939df03 | |
{'timestamp': 1277994600, 'kw_energy_consumption': '21.2'} | |
{u'likelihood': 0.5, u'anomaly_score': 1.0, u'prediction': 21.2} | |
{'timestamp': 1277998200, 'kw_energy_consumption': '16.4'} |
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void enqueue_stations() { | |
struct ST_info *st_cur; | |
struct ST_info *st_next; | |
st_cur = G.st_1st; | |
st_next = NULL; | |
while(st_cur != NULL) | |
{ | |
st_next = st_cur->next; | |
// if we haven't seen the device in the last 10 seconds |
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