wpjunior

#!/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

slos:
  - name: myteam-a.service-a
    objectives:
      availability: 99
      latency:
      - le: 5.0 # 95% < 5s
        target: 95

      - le: 10.0 # 97% < 10s
        target: 97

wpjunior

#!/usr/bin/env python

import logging
import json

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

wpjunior

#!/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

package main

import (
	"bufio"
	"bytes"
	"fmt"
	"io"
	"net"
	"net/http"

wpjunior

import numba
from numba import cuda
import numpy as np


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

wpjunior

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

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

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

from numba import cuda

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