debovis

{
    "lastAccess": 1344369242137,
    "cookie": {
        "originalMaxAge": 14459999,
        "expires": "2012-08-07T23:55:01.331Z",
        "httpOnly": true,
        "path": "/"
    },
    "gaas": {
        "roles": [

debovis

{
    "id": 2,
    "slug": "va",
    "sites": [
        {
            "id": 21,
            "parentSlug": null,
            "name": "2011 Crystal Drive",
            "slug": "nnn",
            "status": 2,

debovis

{
  "data": [
    {
      "date": "05/09/2012",
      "nes": {
        "Feeding": 1,
        "Sendgrid": 1,
        "AIDE": 1,
        "Our Local Foods": 1,
        "CPR": 3,

debovis

from werkzeug.contrib.profiler import ProfilerMiddleware

app.config['PROFILE'] = True
app.wsgi_app = ProfilerMiddleware(app.wsgi_app, restrictions=[30])
app.run( host='0.0.0.0', port=8081, threaded=True, debug=debug )

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json_headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
res = Response(headers=json_headers)
res.set_data(data)
res.status_code = 400
raise abort(res)

debovis

Angular Material Muppet App

The goal of this app is to show basic Angular.js Material Design components in action together. It can also be used as a starting point if you're looking to try things out.

Forked from Marcy Sutton's Pen Angular Material Basic App.

Forked from Marcy Sutton's Pen Angular Material Basic App.

Forked from Marcy Sutton's Pen Angular Material Basic App.

debovis

import logging
print logging.Logger.manager.loggerDict

debovis

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with app.app_context():
    output = []
    for rule in app.url_map.iter_rules():
        methods = ','.join(rule.methods)
        line = urllib.unquote("{:50s} {:20s} {}".format(rule.endpoint, methods, rule))
        output.append(line)

    for line in sorted(output):
        print line

debovis

from sklearn.metrics import classification_report
import matplotlib.pylab as plt
import numpy as np

class ts_classifier(object):


    def __init__(self,plotter=False):
        '''
        preds is a list of predictions that will be made.