mgermain

import numpy as np
from theano.sandbox.rng_mrg import MRG_RandomStreams
rng = MRG_RandomStreams(seed=1234)

mult = rng.multinomial(pvals=[[.3,.3,.3]])

# Backup random state
rst = rng.rstate.copy()
rst_upd = [s[0].get_value() for s in rng.state_updates]

mgermain

"""
## RESULTS ##
# Windows 8.1 + NTFS + SSD:
read_write 6.81500005722
append 6.42299985886

# LinuxMint 15 + ext4 witout journaling + HD
read_write 0.222398996353
append 0.00950384140015
"""

mgermain

import os
import requests
from bs4 import BeautifulSoup


class GSheet(object):
    base_sheet_url = 'https://spreadsheets.google.com/feeds/worksheets/{0}/private/full'
    list_worksheet_url = 'https://spreadsheets.google.com/feeds/list/{0}/{{}}/private/full'
    cell_worksheet_url = 'https://spreadsheets.google.com/feeds/cells/{0}/{{}}/private/full'
    HTTPheaders = {'content-type': 'application/atom+xml'}

mgermain

from __future__ import print_function
import re
import ijson.backends.yajl2 as ijson

with open("movies_rule_agent/actors.txt", "r") as f_actors:
    actors = [re.sub(r'\n', '', entry).lower() for entry in f_actors.readlines()]

with open("movies_rule_agent/actor_qids.txt", "w") as f_actor_qids:
    with open('wikidata_json_dump/latest-all.json', "r") as f_wiki:
        for obj in ijson.items(f_wiki, 'item'):

mgermain

#!/usr/bin/env python3
# Dependencies python3 and dnspython
import os
import re
import sys
import csv
import time
import string
import random
import smtplib

mgermain

#!/bin/bash
source scl_source enable devtoolset-3