pcbje

var to_array = function(text, delimeter, has_header, header_size) {
  var lines = text.split('\n');
  var columns = has_header ? lines[header_size - 1].split(delimeter) : null;
  var rows = [];

  for (var i=header_size; i<lines.length; i++) {
    var array = lines[i].split(delimeter);
    var row = {};

    for (var j in array) {

pcbje

tika:
  image: logicalspark/docker-tikaserver
  cpu_shares: 4
  ports:
    - "9998:9998"

elasticsearch:
  image: elasticsearch
  cpu_shares: 4
  command: elasticsearch -Des.http.cors.enabled=true -Dhttp.cors.allow-origin=*

pcbje

# License: GPLv3
# https://github.com/aboSamoor/polyglot/blob/master/LICENSE

import polyglot
from polyglot.text import Text, Word
from flask import Flask, request
app = Flask(__name__)

# sudo yum install libicu libicu-devel.x86_64 gcc-c++ python3-devel
# pip3 install morfessor pycld2 pyicu numpy six polyglot Flask

pcbje

#!/usr/bin/python
# -*- coding: utf-8 -*-
import base64
import hashlib
from datetime import datetime
import struct
import logging
import json

pcbje

makecluster = Makecluster()

makecluster.addPair(1, 2)
makecluster.addPair(2, 3)
makecluster.addPair(4, 5)

print (makecluster.getClusters())

pcbje

class Makecluster(object):
  def __init__(self):    
    self.clusters = {}
    self.edges = {}
    self.reverse_index = {}
    self.clusterIndex = 0

  def getClusters(self):
    return self.clusters

pcbje

version: '2'

volumes:
  postgres_data:
    driver: local    
  app_data:
    driver: local

services: 
  postgres:

pcbje

package filter

import (
	"fmt"
	"log"
)

var bytehash = []uint32{
	0x12bd9527, 0xf4140cea, 0x987bd6e1, 0x79079850, 0xafbfd539, 0xd350ce0a,
	0x82973931, 0x9fc32b9c, 0x28003b88, 0xc30c13aa, 0x6b678c34, 0x5844ef1d,

pcbje

import os
import re

def extract_count(line):
  lower_line = line.lower()
  numbers = re.findall(' (cero|uno|dos|tres|cuatro|cinco|seis|siete|ocho|nueve)(?:$|,| )', lower_line)
        
  if len(numbers) != 4:
    return None
  text = ''

pcbje

040701002.02.1.0001
130201012.03.1.0001
190208003.01.1.0001
130101006.02.1.0001
171501003.01.1.0001
020201015.01.1.0001
122003002.01.1.0001
190210001.02.1.0001
130501031.01.1.0001
130701075.01.1.0001