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#!/usr/bin/perl
use strict;
use Time::HiRes;

my $rat = shift @ARGV;
my $dir = shift @ARGV;
$rat ||= 1;
-d $dir or die "$0 <ratio> <dir>";
my @files = `find $dir -type f`;

allenday

<?php
/**
* Plugin Name: Elegant Tweaks Portfolio Posts
* Plugin URI: http://shop.eleganttweaks.com/divi/posts-plugin/
* Description: Divi posts display same as project posts
* Version: 1.02
* Author: Brad Crawford
* Author URI: http://www.eleganttweaks.com
**/

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+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.66                 Driver Version: 375.66                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla K80           Off  | 0000:00:04.0     Off |                    0 |
| N/A   33C    P8    29W / 149W |      0MiB / 11439MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               

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nvidia-docker-plugin | 2017/06/07 01:05:05 Loading NVIDIA unified memory
nvidia-docker-plugin | 2017/06/07 01:05:05 Loading NVIDIA management library
nvidia-docker-plugin | 2017/06/07 01:05:08 Discovering GPU devices
nvidia-docker-plugin | 2017/06/07 01:05:08 Provisioning volumes at /var/lib/nvidia-docker/volumes
nvidia-docker-plugin | 2017/06/07 01:05:08 Serving plugin API at /run/docker/plugins
nvidia-docker-plugin | 2017/06/07 01:05:08 Serving remote API at localhost:3476

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#!/bin/bash
echo "Checking for CUDA and installing."
# Check for CUDA and try to install.
if ! dpkg-query -W cuda; then
  # The 16.04 installer works with 16.10.
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  apt-get update
  apt-get install cuda -y
fi

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#/bin/bash
# install packages to allow apt to use a repository over HTTPS:
sudo apt-get -y install \
apt-transport-https ca-certificates curl software-properties-common
# add Docker’s official GPG key:
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - 
# set up the Docker stable repository.
sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \

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#!/usr/bin/perl
use strict;

my $http_base = shift;
my $path_base = shift;
my $prev_file = shift;

if ( ! $http_base || ! $path_base ) {
  print STDERR <<"HERE";
USAGE:

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var jq = document.createElement('script');
jq.src = "https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js";
document.getElementsByTagName('head')[0].appendChild(jq);
// ... give time for script to load, then type (or see below for non wait option)
jQuery.noConflict();

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#Startup script for running bwa-http-docker container as a Google Compute Engine Instance Template.
DOCKER_IMAGE=`wget --header 'Metadata-Flavor: Google' -O - -q 'http://metadata.google.internal/computeMetadata/v1/instance/attributes/DOCKER_IMAGE'`
BWA_FILES=`wget --header 'Metadata-Flavor: Google' -O - -q 'http://metadata.google.internal/computeMetadata/v1/instance/attributes/BWA_FILES'`
apt-get update && apt-get -y install docker.io
gcloud docker -- pull $DOCKER_IMAGE
docker run -P -e BWA_FILES=$BWA_FILES $DOCKER_IMAGE

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# create a fastq file
user@host:/home/user# echo "@id
AGCTTTTCTATAAAATTTAACTTACATTTTTGATATCTAATAATTGATCTACTCAAGTTA
+
EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE" >  /tmp/my.fq
# POST that file to the webserver
user@host:/home/user# curl --form database=human.fasta --form fastq=@/tmp/my.fq http://10.142.0.2/cgi-bin/bwa.cgi
# response will look something like this
# [...]
@PG	ID:bwa	PN:bwa	VN:0.7.10-r789	CL:bwa mem /data/human.fasta /tmp/Nc22LIRneb.fq