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// Extract text from PDF files (with images)
// Installation guide: https://github.com/nisaacson/pdf-extract

var extract = (function() {

  'use strict';

  var fs = require('fs');
  var path = require('path');
  var pdfExtract = require('pdf-extract');

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#!/bin/sh

#needs: pdftk, imagemagick, ghostscript and tesseract-ocr
#pdf should be 300dpi or higher resolution

#set -o errexit

function success () {
  echo "\033[33;32m ✓ \033[33;00m"
}

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#!/bin/bash
 
tail -n0 -F "$1" | while read LINE; do
  (echo "$LINE" | grep -e "$3") && curl -X POST --silent --data-urlencode \
    "payload={\"text\": \"$(echo $LINE | sed "s/\"/'/g")\"}" "$2";
done

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var elastic = require('elasticsearch');

var client = new elastic.Client({ host: 'localhost:9200' });
var index = 'myindex';
var type = 'document';

(function init() {

  Promise.resolve()
    .then(deleteIndex, handleError)

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function weightedMedian(values, weights) {

  var midpoint = 0.5 * sum(weights);

  var cumulativeWeight = 0;
  var belowMidpointIndex = 0;

  var sortedValues = [];
  var sortedWeights = [];

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function weightedStdDev(values, weights) {

  var avg = weightedMean(values, weights);

  var result = values.map(function (value, i) {

    var weight = weights[i];
    var diff = value - avg;
    var sqrDiff = weight * Math.pow(diff, 2);

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function weightedMean(arrValues, arrWeights) {

  var result = arrValues.map(function (value, i) {

    var weight = arrWeights[i];
    var sum = value * weight;

    return [sum, weight];
  }).reduce(function (p, c) {

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function stdDev(arr) {

  var avg = mean(arr);

  var squareDiffs = arr.map(function (value) {

    var diff = value - avg;
    var sqrDiff = diff * diff;
    return sqrDiff;
  });

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=IF(COUNTIFS($B$1:B3;B3)>1;INDEX($A$1:A2;IFERROR(MATCH(B3;$B$1:B2;0);1));MAX($A$1:A2)+1)

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function mapValue(value, fromMin, toMin, fromMax, toMax) {

  return (value - fromMin) / (toMin - fromMin) * (toMax - fromMax) + fromMax;
}