tilacog

# This function will be called before each test case.
setup () {
    # This block will run only for the first test in this file.
    # Usefull for setting up resources that should last for all tests.
    if [[ "$BATS_TEST_NUMBER" -eq 1 ]]; then
	:
    fi
    :
}

tilacog

import sys
from xml.etree.ElementTree import iterparse
from types import SimpleNamespace


def show(text, depth, spacer='  '):
    print(spacer * depth + text)


def main(spec_file_path):

tilacog

#!/usr/bin/env python

import os
import sys
import subprocess
import zipfile

#-----------------------------------------------------------------------------
def main():
    fileNames = sys.argv[1:]

tilacog

import os
import csv
import sys
from glob import glob
from xml.etree import ElementTree as ET


xsd_dir_path = 'PUT BASE DIRECTORY HERE :)'
no_duplicate_tables = '--no-duplicates' in sys.argv
done_tables = set()

tilacog

numsites=3
all: invoices

search-results.json:
	googler --count ${numsites} --exact --noprompt 'intitle:”index of”  nfe xml' --json > $@

sites.txt: search-results.json
	< search-results.json jq ".[]|.url" | sed 's/"//g' > $@

invoices: sites.txt

tilacog

import collections
import datetime
import hashlib
import random
import string
import sys
from contextlib import suppress


random.seed(0)

tilacog

#!/usr/bin/env python

import json
import sys


def pprint_specfile(path, filters):

    record_fmt = '{r[name]}: {r[label]}'
    field_fmt = '    {f[order]}-{f[name]}'

tilacog

import zipfile
from io import BytesIO


def zipwalk(current_file, curr_path=''):
    """Recursively walks into a zipped file tree while yielding non-zipped
    files content.
    """
    data = BytesIO(current_file.read())

tilacog

import psycopg2
from itertools import chain, permutations
from graphviz import Digraph


DB_SETTINGS = dict(
    host='localhost',
    database='database_name',
    user='user',
    password='*****',

tilacog

import rows
from collections import Counter

base_svg = '/path/to/drawing.svg'
base_name = 'Fulano de Tal e Coisa'
participants_table = rows.import_from_csv('/path/to/pyse-participantes.csv')

with open(base_svg) as f:
    svg = f.read()