adammenges

TASK: [common | upgrade system packages] ************************************** 
failed: [celery_stats_testing] => {"failed": true, "item": ""}
stdout: Reading package lists...
Building dependency tree...
Reading state information...
Initializing package states...
Writing extended state information...
Resolving dependencies...
The following NEW packages will be installed:
  liblcms2-2{a} linux-headers-3.2.0-64{a} linux-headers-3.2.0-64-virtual{a} 

adammenges

with open('./search/data/seo_service_landing_service_data.yml') as f:
    service_data = yaml.safe_load(f)

for x in service_data:
    service_data[x]['see_also'] = [TOP_TEN[i] for i in (random.sample(xrange(len(TOP_TEN)), 4))]

with open('./search/data/seo_service_landing_service_data.yml', 'w') as f:
    pyaml.dump(service_data, f)

adammenges

$(document).ready(function() {

      var closeMenu = function() {
        $('#container').unbind('touchmove');

        $("#container").animate({"margin-left": "0"}, {
            duration: 700,
            complete: function() {
                $('#content').css('width', 'auto');
                $('#contentLayer').css('display', 'none');

adammenges

def balancedParens(s):
  stack, opens, closes = [], ['(', '[', '{'], [')', ']', '}']
  for c in s:
    if c in opens:
      stack.append(c)
    elif c in closes:
      try:
        if opens.index(stack.pop()) != closes.index(c):
          return False
      except (ValueError, IndexError):

adammenges

#############################
#
# Needed it to download this guy: https://www.youtube.com/playlist?list=PLPemlF-zX2ydW5QoNsHpQiLCQKIKdjvoo
# 
# Figured why not stick it up on github too.
#
#############################

import pafy
import os

adammenges

### Keybase proof

I hereby claim:

  * I am adammenges on github.
  * I am adammenges (https://keybase.io/adammenges) on keybase.
  * I have a public key whose fingerprint is 4C50 C670 FDCD 994E EC08  D308 C8A2 1C16 63B6 3476

To claim this, I am signing this object:

adammenges

##############################################################################
##                                                                          ##
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##                      ( \/ )(  )   ___(  _ \ /  \(_  _)                   ##
##                      / \/ \/ (_/\(___)) _ ((  O ) )(                     ##
##                      \_)(_/\____/    (____/ \__/ (__)                    ##
##                                                                          ##
##                                                                          ##
##                                                                          ##
##   The beginings of an ml-bot. To start, he'll let us know when           ##

adammenges

# coding: utf-8
import requests
import os.path
import time

def multiple_tries(func, times, timeout):
	for cnt in xrange(1, times + 1):
		try:
			return func()
		except Exception, e:

adammenges

import string, sklearn, random

from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.svm import SVC
from sklearn.pipeline import Pipeline
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold

def tok(m):
  return m.split()

adammenges

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)