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from joblib import Parallel, delayed
import numpy as np
N = 1000
def big_fucking_computation(dir):
# do something with dir..
# this should take some time..
return np.random.random((784, N))
from __future__ import division, print_function
from string import maketrans
import re
def thue_morse(n):
comp = maketrans('01', '10')
s = '0'
for _ in range(n):
s += s.translate(comp)
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# iframe_stack: list of iframe_data's
# iframe_data: iframe_domain + list of js_domain's
iframe_stack = []
for iframe_url, js_urls in impression['ac_iframedata']:
iframe_domain = select_or_insert_id('domain', get_domain(iframe_url))
js_domains = [select_or_insert_id('domain', get_domain(js_url)) for js_url in js_urls]
iframe_stack.append((iframe_domain, js_domains))
iframe_datas = []
ad_source_id = 0
cs = [('ad_image_domain', imp['ac_bannerhost']),
('iframe_domain', data_rec['iframe_domain']),
('ad_image_linked_domain', imp['ac_clickhost'])]
cs += [('iframe_domain', iframe_dom)
for iframe_dom, _, _ in iframe_stack]
for company_table, company_value in cs:
q = """select company from {}
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import random
from hashlib import md5, sha1
from collections import defaultdict
from scipy.stats import hmean
import numpy as np
import redis
import sys
def get_n_zeros(v, n_bits=128, from_right=True):
"""Get number of trailing or leading 0s in the binary