dankkom

import unicodedata


def strip_accents(s):
   return ''.join(c for c in unicodedata.normalize('NFD', s)
                  if unicodedata.category(c) != 'Mn')

dankkom

from math import sqrt
import numpy


# https://stackoverflow.com/a/48085583
def cubic_interp1d(x0, x, y):
    """
    Interpolate a 1-D function using cubic splines.
      x0 : a float or an 1d-array
      x : (N,) array_like

dankkom

import codecs
import os.path


def read(rel_path):
    here = os.path.abspath(os.path.dirname(__file__))
    with codecs.open(os.path.join(here, rel_path), 'r') as fp:
        return fp.read()

dankkom

from typing import Tuple
from pyproj import Proj


def convert_utm_to_longlat(x: int, y: int, zone: int, south: bool = False) -> Tuple[float, float]:
    longlat_proj = Proj(proj="utm", zone=zone, ellps="WGS84", south=south)
    long, lat = longlat_proj(x, y, inverse=True)
    return long, lat

dankkom

apt update
apt install -y build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev liblzma-dev

PYTHON_VERSION=3.10.1
N_PROCESSORS=$(nproc)

wget https://www.python.org/ftp/python/$PYTHON_VERSION/Python-$PYTHON_VERSION.tgz

tar -xf "Python-$PYTHON_VERSION.tgz"
cd "Python-$PYTHON_VERSION"

dankkom

import datetime


def convert_brl_date(value: float, date: datetime.date) -> float:
    """Convert brazillian currency to Real (BRL), given the date of the value.
    Works with dates from 1942-11-01 to today.
    """
    if date >= datetime.date(1994, 7, 1):  # R$
        return value
    elif date >= datetime.date(1993, 8, 1):  # CR$

dankkom

decodificar_datasus_idade <- function(nu_idade_n) {
  nu_idade_n <- as.character(nu_idade_n)
  nu_idade_n[nu_idade_n == "000" | nu_idade_n == "999"] <- NA
  unidade <- substr(nu_idade_n, 1, 1)
  idade <- ifelse(
    unidade == 1,
    as.numeric(substr(nu_idade_n, 2, 3)) / (24*365), # horas
    ifelse(
      unidade == 2,
      as.numeric(substr(nu_idade_n, 2, 3)) / 365, # dias

dankkom

import datetime as dt


def carnaval_date(year: int) -> tuple[dt.date]:
    # https://www.vivaolinux.com.br/script/Calcular-a-data-do-Carnaval-e-da-Pascoa
    x = 24
    y = 5
    a = year % 19
    b = year % 4
    c = year % 7

dankkom

import sys
import csv
import json


# Converts the JSON output of a PowerBI query to a CSV file
def extract(input_file, output_file):
    input_json = read_json(input_file)
    data = input_json["results"][0]["result"]["data"]
    dm0 = data["dsr"]["DS"][0]["PH"][0]["DM0"]

dankkom

import argparse
import re
import shutil
import zipfile
from pathlib import Path


def decompress(filepath: Path) -> Path:
    dest_filepath = Path(filepath.stem)
    with zipfile.ZipFile(filepath, "r") as zf: