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Wilson Júnior wpjunior

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wpjunior / read-nfe.py

Created May 28, 2020 22:10

	#!/usr/bin/env python

	import sys
	import xml.etree.ElementTree as ET

	tree = ET.parse(sys.argv[1])
	root = tree.getroot()

	nfe = root.findall("{http://www.portalfiscal.inf.br/nfe}NFe")[0]
	icms = nfe.findall('.//{http://www.portalfiscal.inf.br/nfe}ICMS70/{http://www.portalfiscal.inf.br/nfe}vICMS')

wpjunior / slo_example.yml

Created November 10, 2019 16:07

slo_example.yml

wpjunior / tornado_file_receiver.py

Created August 20, 2019 19:48

	#!/usr/bin/env python

	import logging
	import json

	try:
	from urllib.parse import unquote
	except ImportError:
	# Python 2.
	from urllib import unquote

wpjunior / dock.py

Last active August 1, 2021 00:42

	#!/usr/bin/python
	from gi.repository import GLib, Gtk, Gdk
	import Xlib.display

	size = 167

	def main():
	window = Gtk.Window() # Gtk.WINDOW_TOPLEVEL)

	window.set_default_size(size*0.68, Gdk.Screen.height())

wpjunior / tracing-bad-http-requests.go

Created February 21, 2019 14:52

tracing-bad-http-requests.go

wpjunior / even-odd-sort.py

Created December 9, 2018 18:42

	import numba
	from numba import cuda
	import numpy as np


	@cuda.jit
	def sort_kernel(array):
	"""
	Função executada dentro da GPU via LLVM
	"""

wpjunior / call-cuda-10000-times-with-memory-optimization.py

Created December 9, 2018 17:42

	import numpy as np
	from numba import cuda

	@cuda.jit
	def add_2(array):
	pos = cuda.grid(1)
	array[pos] = array[pos] + 2

	# criamos um vetor ordenado até 100000, [0, 1, 2, .. 999999] dentro da GPU
	an_array = cuda.to_device(np.arange(100000))

wpjunior / call-numba-1000-times.py

Last active December 9, 2018 17:33

	import numpy as np
	from numba import cuda

	@cuda.jit
	def add_2(array):
	pos = cuda.grid(1)
	array[pos] = array[pos] + 2

	# criamos um vetor ordenado até 100000, [0, 1, 2, .. 999999]
	an_array = np.arange(100000)

wpjunior / multiply-by-2-full.py

Created December 9, 2018 17:00

multiply-by-2-full using numba and cuda

	import numpy as np
	from numba import cuda

	@cuda.jit
	def multiply_by_2(array):
	pos = cuda.grid(1)
	array[pos] = array[pos] * 2

	# criamos um vetor ordenado até 1000, [0, 1, 2]
	an_array = np.arange(1000)

wpjunior / multiply-by-2.py

Last active December 9, 2018 17:00

numba-examples