melvinwevers

src_path = "" #here you need to input the directory that contains the file
main_file = "" #here you need to input the name of the file
import csv
import collections
import pprint

with open(main_file, "rb") as fp:
    root = csv.reader(fp, delimiter='\t')
    result = collections.defaultdict(list)
    for row in root:

melvinwevers

from pyelasticsearch import ElasticSearch

import json
import codecs
import glob
import os

# ElasticSearch settings
ES_CLUSTER = 'http://localhost:9200/'
ES_INDEX = 'kb'

melvinwevers

import csv
import sys
import re
from datetime import datetime

csv.field_size_limit(sys.maxsize)

field_id = 'ddd:11'

dateranges = [("1951-01-01", "1951-12-31"),

melvinwevers

#!/bin/bash

declare -a StringArray=('198206'
 '351642'
 '660753'
 '1126120'
 '1297412'
 '1428165'
 '1434549'
 '1624750'

melvinwevers

#!/usr/bin/env python3
import csv
from datetime import datetime

from cliffs_delta import cliffs_delta
from scipy.stats import mannwhitneyu


def interpret_cliffs_delta(delta):
    """Interpret Cliff's delta based on Meissel & Yao (2024) thresholds"""