asieira

from typing import Optional, Iterable, Callable, Union
from dataclasses import fields


def protect_attributes(cls: type):
    """
    Decorator to protect attributes of <dataclasses.dataclass> classes.
    To make this work, assign one of the following metadata values on fields that need protection:
    * `noset` if True will prevent the field from being assigned to in `__setattr__`
    * `nodel` if True will prevent the field from being deleted in `__delattr__`

asieira

#!/usr/bin/env bash

mkdir tmp
cd tmp

curl http://acraiz.icpbrasil.gov.br/credenciadas/CertificadosAC-ICP-Brasil/ACcompactado.zip --output ACcompactado.zip
unzip ACcompactado.zip
rm *.zip

for file in *.crt

asieira

APPDIR = TA-Niddel_Magnet_Alerts_Add-on
DOCKER_TMP = /tmp/splunk
DOCKER_TAG = 6.6.2
DOCKER_NAME = splunk
SPLUNK_CREDENTIALS = 'admin:changeme'

VERSION = $(shell grep '^version' $(APPDIR)/default/app.conf | egrep -o '[^ ]+$$')
BUILD = $(shell grep '^build' $(APPDIR)/default/app.conf | egrep -o '[^ ]+$$')
FILE = $(APPDIR)-$(VERSION)-$(BUILD).spl
PYTHON_PACKAGES := $(shell find $(APPDIR)/bin/ -maxdepth 1 -type d | tr '\n' ',')

asieira

// This trait defines the mechanism by which the global repository (pool) of objects 
// is obtained for each type.
trait Interning[T] {
  def repository: java.util.Map[T, T]

  def intern(orig: T): T = {
    val retval = repository.putIfAbsent(orig, orig)
    if (retval == null) orig
    else retval
  }

asieira

This will only work with ranges with a step (by) of 1 so far, but is a simple solution to splitting a range into a given number of sub-ranges:

  def splitRange(r: Range, chunks: Int): Seq[Range] = {
    if (r.step != 1) 
      throw new IllegalArgumentException("Range must have step size equal to 1")
      
    val nchunks = scala.math.max(chunks, 1)
    val chunkSize = scala.math.max(r.length / nchunks, 1)
    val starts = r.by(chunkSize).take(nchunks)
    val ends = starts.map(_ - 1).drop(1) :+ r.end

asieira

# A wrapper around rbindlist that ensures that all columns are matched in type and
# in order before calling it.
#
smartrbindlist <- function(l) {
  if (missing(l) && !is.list(l)) {
    stop("smartrbindlist: bad or missing argument 'l")
  }
  
  mergedColClasses = list()
  i=1