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chartOption: {

            tooltip: {
                trigger: 'axis'
            },
            toolbox: {
                show: false,
            },
            grid: {
                // top: 60,

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hadoop package:

org.apache.hadoop:hadoop-aws:3.1.1

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curl -s -S --connect-timeout 1  https://www.google.com >/dev/null 2>&1
ret=$?
if [ $ret -eq 0 ] ; then 
  echo OK
else
  echo "FAIL:$ret"
fi

if [ $ret -ne 0 ] ; then 
  echo "FAIL:$ret"

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https://github.com/settings/tokens/new?scopes=repo,read:user,user:email,write:repo_hook

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blk = []

def devo_blk():
  blk.append([i for i in range(1024)])

def devo():
  while True:
    devo_blk()

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# /etc/nginx/nginx.conf
# see: https://www.nginx.com/resources/wiki/start/topics/examples/full/

user  nginx;
worker_processes  1;

error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;

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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:

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osd_pool_default_size = 2
osd_pool_default_min_size = 2

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https://docs.travis-ci.com/user/docker/

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discussion: https://social.technet.microsoft.com/Forums/ie/en-US/9813dd3d-10e6-4fe5-b28d-8ff251d46b21/blocked-using-fblw15?forum=exchangesvrsecuremessaginglegacy

ticket: https://support.microsoft.com/en-us/getsupport?oaspworkflow=start_1.0.0.0&wfname=capsub&productkey=edfsmsbl3&locale=en-us&ccsid=635799980432073537&forceorigin=esmc&wa=wsignin1.0

sender: https://sender.office.com/

snds: