dopey

package main

import (
	"crypto/rand"
	"encoding/base64"
	"fmt"
	"io"
	"math/big"
)

Ladas

classes = [
  Authentication,
  ComputerSystem,
  Container,
  ContainerBuild,
  ContainerBuildPod,
  ContainerComponentStatus,
  ContainerCondition,
  ContainerEnvVar,
  ContainerGroup,

mmellison

import asyncio
from concurrent import futures
import functools
import inspect
import threading

from grpc import _server

def _loop_mgr(loop: asyncio.AbstractEventLoop):

jootse84

Brainiarc7

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

smalleni

Full Scale Lab Deployment

Test Plan

• Build Undercloud

• Install Monitoring

• Import Nodes

• Introspect

arsdehnel

resource "aws_iam_policy" "terraform_create_policy" {
    name = "terraform_create_policy"
    path = "/"
    policy = "${data.aws_iam_policy_document.terraform_create_policy.json}"
}

data "aws_iam_policy_document" "terraform_create_policy" {
    statement {
        sid = "1"
        actions = [

garethahealy

#!/bin/bash

docker exec $1 ps -deaf

echo -n "PID for Java: "
read pid

docker exec $1 jcmd $pid GC.heap_dump /tmp/docker.hprof
docker cp $1:/tmp/docker.hprof .
docker exec $1 rm /tmp/docker.hprof

thomasdarimont

Setup

Add this to your .profile, .bashrc, .zshrc...

decode_base64_url() {
  local len=$((${#1} % 4))
  local result="$1"
  if [ $len -eq 2 ]; then result="$1"'=='
  elif [ $len -eq 3 ]; then result="$1"'=' 
  fi
 echo "$result" | tr '_-' '/+' | openssl enc -d -base64

fx86

import wikipedia

def get_bigrams(string):
  '''
  Takes a string and returns a list of bigrams
  '''
  s = string.lower()
  return [s[i:i+2] for i in xrange(len(s) - 1)]

def string_similarity(str1, str2):