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for VARIABLE in 1e-1 1e-2 1e-3 1e-4 1e-5 1e-6 1e-7 1e-8 1e-9 1e-10 1e-11 1e-12 1e-13 1e-14 1e-15 1e-16
do
  echo ${VARIABLE}
  exit
done

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# 1e3 = 1k: 8MB
rows = 1e3
cols = 1e3

# # 1e4 = 10k: 8GB
rows = 1e4
cols = 1e4

# # 1e5 = 100k: 80GB
rows = 1e5

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import numpy as np
from sklearn import linear_model

# Load data
data = np.loadtxt('./heights_weights.csv', delimiter=',', skiprows=1)
X = data[:,0:2]
y = data[:,2]

# Fit (train) the Logistic Regression classifier
clf = linear_model.LogisticRegression(C=1e40, solver='newton-cg')

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if [[ $1 == "r" ]];
then
rm -rf build
mkdir build
fi

cd build

# -DCMAKE_BUILD_TYPE=Release \

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# module load python/3.6-anaconda-4.4

import csv
with open("susy_full_normed_train.csv","rt", encoding="utf8") as source:
    rdr= csv.reader( source )
    with open("susy_full_normed_train_low_features.csv","wt") as result:
        wtr= csv.writer( result )
        for r in rdr:
            wtr.writerow( (r[0], r[1], r[2], r[3], r[4], r[5], r[6], r[7] ) )

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sysctl -a hw

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---
BasedOnStyle: LLVM
AccessModifierOffset: -2
AlignAfterOpenBracket: true
AlignEscapedNewlinesLeft: false
AlignOperands: true
AlignTrailingComments: true
AllowAllParametersOfDeclarationOnNextLine: true
AllowShortBlocksOnASingleLine: false
AllowShortCaseLabelsOnASingleLine: false

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#include <vector>
#include <iostream>
using namespace std;

// Requires C++11 compiler
int main(int argc, char const *argv[])
{
   vector<int> vec{5,7,2,32,9,45};

   for_each(vec.begin(), vec.end(),

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// Implementation
function sleep(ms){
    return new Promise(resolve=>{
        setTimeout(resolve,ms)
    })
}

// Usage. Sleep two seconds
await sleep(2000)

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let promiseToCleanTheRoom = new Promise(function(resolve, reject) {

  //cleaning the room

  let isClean = false;

  if (isClean) {
    resolve('Clean');
  } else {
    reject('not Clean');