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import hashlib
import timeit
def slow(z,f,i):
    s=hashlib.sha3_512(i.to_bytes(8,'big'))
    for x in range(z): s.update(s.digest()*f)
    return s.digest()
initcode="""
import concurrent.futures
from functools import partial
executorT = concurrent.futures.ThreadPoolExecutor()

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# Author: Pieter Noordhuis
# Description: Simple demo to showcase Redis PubSub with EventMachine
#
# Update 7 Oct 2010:
# - This example does *not* appear to work with Chrome >=6.0. Apparently,
#   the WebSocket protocol implementation in the cramp gem does not work
#   well with Chrome's (newer) WebSocket implementation.
#
# Requirements:
# - rubygems: eventmachine, thin, cramp, sinatra, yajl-ruby

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unless File.exist?('Gemfile')
  File.write('Gemfile', <<-GEMFILE)
    source 'https://rubygems.org'
    gem 'rails', github: 'rails/rails'
    gem 'sqlite3'
  GEMFILE

  system 'bundle'
end

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function snotebook () 
{
#Spark path (based on your computer)
SPARK_PATH=~/spark-2.0.0-bin-hadoop2.7

export PYSPARK_DRIVER_PYTHON="jupyter"
export PYSPARK_DRIVER_PYTHON_OPTS="notebook"

# For python 3 users, you have to add the line below or you will get an error 
#export PYSPARK_PYTHON=python3

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import numpy as np
from sklearn.datasets import make_moons
from sklearn.cross_validation import train_test_split


n_feature = 2
n_class = 2


def make_network(n_hidden=100):

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"""
Pekka Aalto 2017

This snippet tries to explain by example what deepmind means
in https://arxiv.org/abs/1708.04782
about embedding on channel axis being equivalent to
one-hot-encoding followed by 1x1 conv.

They write:

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#!/bin/sh
######################################################################
# Nombre: PutBacks
# Descripcion: CGI para detectar e insertar citas a las paginas web
# Author: Alejandro Rivero ([email protected]) 
# Date: noviembre 1996 
##########################################################################
# Usage:
# With CERN httpd (3.0 or near) add to the config file some lines
# indicating the directories to monitorize for backlinks

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\usetikzlibrary{arrows}
\begin{tikzpicture}

\node (v1) at (-4,3) {IIA};
\node (v2) at (-4,-1) {IIB};
\node (v4) at (0.5,0) {I};
\node (v6) at (4.5,-1) {$H_{32}$};
\node (v3) at (0.5,2) {I'};
\node (v5) at (4.5,3) {$H_{E\times E}$};
\node (v8) at (-7,-0.5) {};

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#Setup Logging
import logging
log = logging.getLogger(__name__)

#Python modules

import io
import json
#Local modules
from ..alarm import Alarm

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# coding: utf-8
# In[1]:
f=open("test.json")
# In[2]:
import json
from collections import OrderedDict
# In[3]:
j=json.load(f,object_pairs_hook=OrderedDict)
# In[8]:
from collections import Counter,defaultdict