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"""
FST (Full Steiner tree) generator Version 3 parser
Documentation: http://geosteiner.com/geosteiner-5.1-manual.pdf (page 186)

How to use: "./rand_points 10 | ./efst | ./bb -f | python3 fst2json.py"

To note, an alternate method is to grep for the " % @C	XXX	YYY" output from `bb`,
to get the Steiner points. (page 158 of the manual)
"""

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import os, glob
import diff_match_patch as dmp_module

dmp = dmp_module.diff_match_patch()

stashed = False

for file in glob.glob('textes_des_reglements/**/*.md'):
    # (FR) commit à partir duquel les corrections ont été manuelles

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import mwpersistence
import deltas
import mwreverts


import sys
from pathlib import Path

import git

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[].slice.call(document.querySelectorAll('.replies-to .stream-items:first-child .ProfileTweet-action--favorite .ProfileTweet-actionButton .ProfileTweet-actionCountForPresentation'))
  .map(x => parseInt(x.textContent))
  .filter(x=>x)
  .sort((a, b) => b - a);

// to paste into the dev console when viewing a tweet replies
// output is the sorted list of number of likes for each reply

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# limitation: Special:Export method 1000 revisions limit (without pagination)

from WikiWho.examples.process_xml_dump import process_xml_dump
from WikiWho.utils import iter_rev_tokens

xml_file_path = '/home/ecu/repos/WikiWho/export_radio_meuh.xml' # export from Special:Export
wikiwho_obj = process_xml_dump(xml_file_path)
print(wikiwho_obj.title)
print(wikiwho_obj.ordered_revisions)
prev = None

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from collections import Counter

users = [1, 2, 3, 4, 5, 6, 7, 8]

delegs = {
    4: 1,
    5: 2,
    6: 3,
    7: 5,
    8: 5,

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import sys, os, collections, string, math

Result = collections.namedtuple('Result',
    ['file', 'matches', 'n_lines',
    'n_exact_match', 'n_exact_length',
    'title_match'])


def remove_accents(s):
    table = collections.defaultdict(lambda: None)

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pays    -    90 values, 4 distincts
----
95.6% (86) FRANCE
2.2% (2) France
1.1% (1) ROYAUME-UNI
1.1% (1) 


categorieOrganisation.label    -    90 values, 7 distincts

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import sys

"""
X = WALL
P = Player
C = Box
E = Emplacement for Box
# = E + P
$ = E + C
"""

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List all the broken links on your website

Requirements:

python3 and scrapy (pip install scrapy)

Usage

• scrapy runspider -o items.csv -a site="https://yoursite.org" 1spider.py
• python3 2format_results.py