docs/2_RunningENVIOnYourOwnComputer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![UCL](https://github.com/profLewis/Geog2021_Coursework/blob/master/images/ucl_logo.png?raw=true)\n",
    "\n",
    "# Using ENVI on your own computer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Introduction\n",
    "\n",
    "In these notes, we outline how you can do the image processing coursework for GEOG0027 using remote access UCL computing resources in a browser on any computer [Desktop@UCL Anywhere](https://www.ucl.ac.uk/isd/services/computers/remote-access/desktopucl-anywhere).\n",
    "\n",
    "## Desktop@UCL\n",
    "\n",
    "First, make sure you have [Desktop@UCL Anywhere](https://www.ucl.ac.uk/isd/services/computers/remote-access/desktopucl-anywhere) setup and the relevant software installed. Just follow the instructions on [Desktop@UCL Anywhere](https://www.ucl.ac.uk/isd/services/computers/remote-access/desktopucl-anywhere). If this has worked, you should see the following window in your browser:\n",
    "\n",
    "![https://my.desktop.ucl.ac.uk/Citrix/StoreWeb/](images/dta1.png)\n",
    "\n",
    "Click on the Desktop icon to launch Desktop. This will give you a windows session, running in your browser, connected to your UCL account.\n",
    "\n",
    "**NOTICE ENVI has been installed on Desktop anywhere since 2020**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stand-alone installation of ENVI\n",
    "\n",
    "**EVERY time** you want to use this program you must be connected to the UCL domain (see [below](#Set-up-a-UCL-VPN-connection). \n",
    "\n",
    "If you are using your own computer you will need to install the ENVI software and license from the [UCL software database](https://swdb.ucl.ac.uk).\n",
    "\n",
    "![envi1](images/envi1.png)\n",
    "\n",
    "\n",
    "\n",
    "### Downloading and Installing ENVI\n",
    "\n",
    "Download ENVI from http://swdb.ucl.ac.uk/package/view/id/142?filter=envi, getting the appropriate version for your computer (Mac, Windows or Linux).\n",
    "\n",
    "![envi123](images/envi123.png)\n",
    "\n",
    "Follow the instructions on the screen to install the software.\n",
    "\n",
    "Further instructions on how to install ENVI can be found here: \n",
    "\n",
    "* [Windows](https://www.ucl.ac.uk/isd/how-to/how-to-install-envi-54-for-windows)\n",
    "* [Mac](https://www.ucl.ac.uk/isd/how-to/how-to-install-envi-54-for-mac)\n",
    "\n",
    "\n",
    "Once the installation has been completed you will be prompted to start the License Administrator select `YES` to begin the licensing process \n",
    "Select `‘User License Server’` and input `lic-envi-idl.ucl.ac.uk` as the server name and `7070` as the port number.\n",
    "\n",
    "Click Connect and then close.\n",
    "\n",
    "![harris1](images/harris1.png)\n",
    "\n",
    "\n",
    "## Set up a UCL VPN connection\n",
    "\n",
    "If you are outside the university you will need to setup a Virtual Private Network (VPN) connection. This involves downloading software from ISD.\n",
    "\n",
    "**EVERY time** you want to use this program you must be connected to the UCL domain. \n",
    "\n",
    "### For Windows:\n",
    "\n",
    "* To setup a VPN connection please refer to https://www.ucl.ac.uk/isd/how-to/connecting-to-ucl-vpn-microsoft-windows  \n",
    "    [![vpn1](images/vpn1.png)](https://www.ucl.ac.uk/isd/how-to/connecting-to-ucl-vpn-microsoft-windows)\n",
    "\n",
    "    This involves downloading, installing and running `Cisco` `anyconnect` software.\n",
    "\n",
    "    Note that your machine needs to be running an anti-virus product. Further information on obtaining these products can be found at:\n",
    "\n",
    "    [http://swdb.ucl.ac.uk/?filter=firewall](http://swdb.ucl.ac.uk/?filter=firewall)\n",
    "    \n",
    "    [http://swdb.ucl.ac.uk/?filter=anti%20virus](http://swdb.ucl.ac.uk/?filter=anti%20virus)\n",
    "\n",
    "Once installed, connect the VPN to vpn.ucl.ac.uk and follow the instructions below.\n",
    "\n",
    "**EVERY time** you want to use ENVI you must be connected to the UCL domain. \n",
    "\n",
    "### For Mac:\n",
    "\n",
    "* **VPN**\n",
    "\n",
    "    To setup a VPN connection please refer to https://www.ucl.ac.uk/isd/how-to/connecting-to-ucl-vpn-mac-os-x\n",
    "    \n",
    "    This involves downloading, installing and running `Cisco` `anyconnect` software.\n",
    "\n",
    "    Note that your machine needs to be running an anti-virus product. Further information on obtaining these products can be found at:\n",
    "\n",
    "    [http://swdb.ucl.ac.uk/?filter=firewall](http://swdb.ucl.ac.uk/?filter=firewall)\n",
    "    \n",
    "    [http://swdb.ucl.ac.uk/?filter=anti%20virus](http://swdb.ucl.ac.uk/?filter=anti%20virus)\n",
    "\n",
    "\n",
    "* **Additional software**\n",
    "\n",
    "\n",
    "    Note that, if you are using a Mac, you will need to install [XQuartz](https://www.xquartz.org) as well (unless you already have it installed) to be able to use ENVI.\n",
    "\n",
    "Once installed, connect the VPN to vpn.ucl.ac.uk and follow the instructions below.\n",
    "\n",
    "**EVERY time** you want to use ENVI you must be connected to the UCL domain. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using ENVI for GEOG0027 Classification (Skip this step if you wish to use python-based GEEMAP)\n",
    "\n",
    "### For Windows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Downloading the required files\n",
    "\n",
    "* Create a folder on your device (e.g. on the `Desktop`) called `GEOG0027`. Within this, create a new folder called `gee` (standing for `Google Earth Engine`). \n",
    "\n",
    "This is where you are going to do your work. You might, for instance, do this on your `Desktop`.\n",
    "\n",
    "Note that the `path` of your working directory (that we will need later) will relate to how you set this up, so **make a note of it now**.\n",
    "\n",
    "For example:\n",
    "\n",
    "    C:\\Users\\YOURUSERNAME\\Desktop\\GEOG0027\\gee\n",
    "\n",
    "\n",
    "* Go to the web page [http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/](http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/) and download the files:\n",
    "\n",
    "    [http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/classy.zip](http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/classy.zip)\n",
    "    \n",
    "    [http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/gee.zip](http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/gee.zip)\n",
    "    \n",
    "    \n",
    "* You *may* need some additional software to 'unzip' files. Some free software that works and UCL recommend is 7zip. Go to their website and install it (you will probably want the '64-bit' version, unless you have a very old computer).  \n",
    "\n",
    "[![zip71](images/zip71.png)](https://www.7-zip.org)\n",
    "\n",
    "* When the data files (`classy.zip` and `gee.zip`) have downloaded (the `gee.zip` file will take a few minutes), you should just be able to click on them to run your software that will uncompress the files. You will want to extract them into your `GEOG0027\\gee` folder:\n",
    "\n",
    "![zip72](images/zip72.png)]\n",
    "\n",
    "You should now be able to navigate to your `GEOG0027\\gee` folder and see the downloaded files:\n",
    "\n",
    "    1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 \n",
    "    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 \n",
    "    2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 \n",
    "    2016 2017 2018 2019\n",
    "    classy.pro \n",
    "    classy_lut1.dat classy_lut3.dat classy_lut4.dat\n",
    "    \n",
    "    \n",
    "Once you have successfully installed ENVI ([above](#Downloading-and-Installing-ENVI)), navigate to `C:\\Program Files\\HARRIS\\ENVI` and open `ENVI + IDL (64 bit)`:\n",
    "\n",
    "![harris2](images/harris2.png)\n",
    "\n",
    "In the console that appears, type the following (adapted to where you have put your own data):\n",
    "\n",
    "    cd, ‘C:\\Users\\YOURUSERNAME\\Desktop\\GEOG0027\\gee’ \n",
    "    \n",
    "\n",
    "* The comma `,` and quotes `'` are important! \n",
    "* Don't put `YOURUSERNAME` ... put your username.\n",
    "\n",
    "![harris3](images/harris3.png)\n",
    "\n",
    "\n",
    "You will now be able to carry out the tasks we have been doing in the practical’s for example by loading the data into ENVI through this console which can then be opened in ENVI:\n",
    "\n",
    "\n",
    "![harris4](images/harris4.png)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### For Linux (Unix) or Mac\n",
    "\n",
    "#### Command line and some unix commands\n",
    "\n",
    "When, in the notes, we say 'type at the command line', we mean that youy should type the command in what you might call a `Terminal` or `shelltool`. On a Mac, find this under `/Applications/Utilities/Terminal.app` in `Finder`. On linux, it should be obvious (!).\n",
    "\n",
    "The shell will show a prompt, e.g.:\n",
    "\n",
    "    %bash\n",
    "    \n",
    "To 'type a command', type at the prompt, then hit `<return>` to run the command.\n",
    "\n",
    "    % bash\n",
    "   \n",
    "It is helpful to know a *few* unix commands. The ones we will use are:\n",
    "\n",
    "\n",
    "    echo       :  print out a shell or environment variable\n",
    "    mkdir -p   :  create a directory (the -p option means not \n",
    "                  to complain if it already exists)\n",
    "    cd         :  change directory, i.e. move to somewhere on the\n",
    "                  file system.\n",
    "    pwd        :  print working directory \n",
    "                  (i.e. where am I in the file system?)\n",
    "    ls -lh     :  provide a listing of files. The -l option \n",
    "                  provides a 'long' listing. The -h option \n",
    "                  gives the file size in 'human readable' format\n",
    "\n",
    "We need to make sure we are clear about where we will be working. \n",
    "\n",
    "Let's assume this is `${HOME}/DATA/GEOG0027/gee`.\n",
    "\n",
    "Try the following commands (don't type the `%%bash` part):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "print a shell/environment variable value:\n",
      "/Users/plewis\n",
      "\n",
      "make a directory for our data\n",
      "\n",
      "Change directory to the data area\n",
      "\n",
      "we are: (using pwd)\n",
      "/Users/plewis/DATA/GEOG0027/gee\n",
      "\n",
      "get a long file listing\n",
      "total 6031232\n",
      "drwx------  21 plewis  staff   672B  8 Feb 13:28 1986\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1987\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1988\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1989\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1990\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1991\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1992\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1993\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1994\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1995\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1996\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1997\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1998\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 1999\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 2000\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:28 2001\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2002\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2003\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2004\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2005\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2006\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2007\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2008\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2009\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2010\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2011\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2012\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2013\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2014\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2015\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2016\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2017\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2018\n",
      "drwx------  22 plewis  staff   704B  8 Feb 13:29 2019\n",
      "-rw-r--r--   1 plewis  staff   6.4K  7 Feb 10:21 classy.pro\n",
      "-rw-r--r--   1 plewis  staff   2.6K  8 Feb 13:21 classy.tar.Z\n",
      "-rw-r--r--   1 plewis  staff   212B  7 Feb 02:09 classy_lut1.dat\n",
      "-rw-r--r--   1 plewis  staff   119B  7 Feb 02:09 classy_lut3.dat\n",
      "-rw-r--r--   1 plewis  staff   135B  7 Feb 02:09 classy_lut4.dat\n",
      "-rw-r--r--   1 plewis  staff   2.9G  8 Feb 13:26 gee.tar.Z\n",
      "\n",
      "get a short file listing\n",
      "1986\n",
      "1987\n",
      "1988\n",
      "1989\n",
      "1990\n",
      "1991\n",
      "1992\n",
      "1993\n",
      "1994\n",
      "1995\n",
      "1996\n",
      "1997\n",
      "1998\n",
      "1999\n",
      "2000\n",
      "2001\n",
      "2002\n",
      "2003\n",
      "2004\n",
      "2005\n",
      "2006\n",
      "2007\n",
      "2008\n",
      "2009\n",
      "2010\n",
      "2011\n",
      "2012\n",
      "2013\n",
      "2014\n",
      "2015\n",
      "2016\n",
      "2017\n",
      "2018\n",
      "2019\n",
      "classy.pro\n",
      "classy.tar.Z\n",
      "classy_lut1.dat\n",
      "classy_lut3.dat\n",
      "classy_lut4.dat\n",
      "gee.tar.Z\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "\n",
    "# print the value of ${HOME} (our home on the system)\n",
    "echo \"print a shell/environment variable value:\"\n",
    "echo ${HOME}\n",
    "# the echo here is to print a blank line\n",
    "# to space the text out. Not something you'd\n",
    "# normally do!\n",
    "echo\n",
    "\n",
    "# create the data directory \n",
    "echo \"make a directory for our data\"\n",
    "mkdir -p ${HOME}/DATA/GEOG0027/gee\n",
    "echo\n",
    "\n",
    "# change to that directory\n",
    "echo \"Change directory to the data area\"\n",
    "cd ${HOME}/DATA/GEOG0027/gee\n",
    "echo\n",
    "\n",
    "# print where we are\n",
    "echo \"we are: (using pwd)\"\n",
    "pwd\n",
    "echo\n",
    "\n",
    "# see what files we have (this might be nothing at first!)\n",
    "echo \"get a long file listing\"\n",
    "ls -lh \n",
    "echo\n",
    "\n",
    "# sometimes, we will just use ls, \n",
    "# a simple listing of what files there are:\n",
    "echo \"get a short file listing\"\n",
    "ls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Pull some files from the internet\n",
    "\n",
    "We will now pull some data and code files we need for this work. They are all available through the link [http://www2.geog.ucl.ac.uk/~plewis/GEOG0027](http://www2.geog.ucl.ac.uk/~plewis/GEOG0027), but we can directly pull the files from the command line.\n",
    "\n",
    "To do this, we need two more unix commands:\n",
    "\n",
    "    curl       :  get a file from a URL\n",
    "    tar        :  File comnpression and uncompression\n",
    "    \n",
    "Pulling the files will take a little time, but you only need to do this once!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "\r",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r",
      "100  2622  100  2622    0     0   102k      0 --:--:-- --:--:-- --:--:--  102k\n",
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "\r",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r",
      "  0 2944M    0 7929k    0     0  10.7M      0  0:04:34 --:--:--  0:04:34 10.7M\r",
      "  0 2944M    0 18.8M    0     0  10.9M      0  0:04:29  0:00:01  0:04:28 10.9M\r",
      "  1 2944M    1 29.9M    0     0  11.0M      0  0:04:27  0:00:02  0:04:25 11.0M\r",
      "  1 2944M    1 41.2M    0     0  11.0M      0  0:04:25  0:00:03  0:04:22 11.0M\r",
      "  1 2944M    1 52.4M    0     0  11.1M      0  0:04:25  0:00:04  0:04:21 11.0M\r",
      "  2 2944M    2 61.8M    0     0  10.8M      0  0:04:32  0:00:05  0:04:27 10.8M\r",
      "  2 2944M    2 72.1M    0     0  10.7M      0  0:04:34  0:00:06  0:04:28 10.6M\r",
      "  2 2944M    2 79.6M    0     0  10.3M      0  0:04:45  0:00:07  0:04:38  9.9M\r",
      "  3 2944M    3 90.7M    0     0  10.4M      0  0:04:43  0:00:08  0:04:35  9.9M\r",
      "  3 2944M    3  101M    0     0  10.4M      0  0:04:40  0:00:09  0:04:31  9.9M\r",
      "  3 2944M    3  113M    0     0  10.5M      0  0:04:39  0:00:10  0:04:29 10.2M\r",
      "  4 2944M    4  124M    0     0  10.6M      0  0:04:37  0:00:11  0:04:26 10.4M\r",
      "  4 2944M    4  135M    0     0  10.6M      0  0:04:36  0:00:12  0:04:24 11.1M\r",
      "  4 2944M    4  146M    0     0  10.6M      0  0:04:35  0:00:13  0:04:22 11.2M\r",
      "  5 2944M    5  158M    0     0  10.7M      0  0:04:34  0:00:14  0:04:20 11.2M\r",
      "  5 2944M    5  169M    0     0  10.7M      0  0:04:33  0:00:15  0:04:18 11.2M\r",
      "  6 2944M    6  180M    0     0  10.7M      0  0:04:32  0:00:16  0:04:16 11.2M\r",
      "  6 2944M    6  187M    0     0  10.5M      0  0:04:38  0:00:17  0:04:21 10.3M\r",
      "  6 2944M    6  191M    0     0  10.1M      0  0:04:49  0:00:18  0:04:31 8957k\r",
      "  6 2944M    6  193M    0     0   9.7M      0  0:05:01  0:00:19  0:04:42 7195k\r",
      "  6 2944M    6  199M    0     0  9871k      0  0:05:05  0:00:20  0:04:45 6251k\r",
      "  7 2944M    7  210M    0     0  9946k      0  0:05:03  0:00:21  0:04:42 6256k\r",
      "  7 2944M    7  222M    0     0   9.7M      0  0:05:01  0:00:22  0:04:39 7068k\r",
      "  7 2944M    7  233M    0     0   9.8M      0  0:04:59  0:00:23  0:04:36 8784k\r",
      "  8 2944M    8  244M    0     0   9.8M      0  0:04:57  0:00:24  0:04:33 10.3M\r",
      "  8 2944M    8  255M    0     0   9.9M      0  0:04:56  0:00:25  0:04:31 11.2M\r",
      "  9 2944M    9  267M    0     0   9.9M      0  0:04:54  0:00:26  0:04:28 11.2M\r",
      "  9 2944M    9  278M    0     0  10.0M      0  0:04:53  0:00:27  0:04:26 11.2M\r",
      "  9 2944M    9  289M    0     0  10.0M      0  0:04:52  0:00:28  0:04:24 11.2M\r",
      " 10 2944M   10  300M    0     0  10.1M      0  0:04:51  0:00:29  0:04:22 11.1M\r",
      " 10 2944M   10  311M    0     0  10.1M      0  0:04:50  0:00:30  0:04:20 11.1M\r",
      " 10 2944M   10  323M    0     0  10.1M      0  0:04:49  0:00:31  0:04:18 11.2M\r",
      " 11 2944M   11  334M    0     0  10.2M      0  0:04:48  0:00:32  0:04:16 11.2M\r",
      " 11 2944M   11  345M    0     0  10.2M      0  0:04:47  0:00:33  0:04:14 11.2M\r",
      " 12 2944M   12  356M    0     0  10.2M      0  0:04:46  0:00:34  0:04:12 11.2M\r",
      " 12 2944M   12  367M    0     0  10.3M      0  0:04:45  0:00:35  0:04:10 11.2M\r",
      " 12 2944M   12  379M    0     0  10.3M      0  0:04:45  0:00:36  0:04:09 11.2M\r",
      " 13 2944M   13  390M    0     0  10.3M      0  0:04:44  0:00:37  0:04:07 11.2M\r",
      " 13 2944M   13  401M    0     0  10.3M      0  0:04:43  0:00:38  0:04:05 11.2M\r",
      " 14 2944M   14  412M    0     0  10.3M      0  0:04:43  0:00:39  0:04:04 11.2M\r",
      " 14 2944M   14  423M    0     0  10.4M      0  0:04:42  0:00:40  0:04:02 11.2M\r",
      " 14 2944M   14  435M    0     0  10.4M      0  0:04:42  0:00:41  0:04:01 11.2M\r",
      " 15 2944M   15  446M    0     0  10.4M      0  0:04:41  0:00:42  0:03:59 11.2M\r",
      " 15 2944M   15  457M    0     0  10.4M      0  0:04:41  0:00:43  0:03:58 11.2M\r",
      " 15 2944M   15  468M    0     0  10.4M      0  0:04:40  0:00:44  0:03:56 11.2M\r",
      " 16 2944M   16  480M    0     0  10.5M      0  0:04:40  0:00:45  0:03:55 11.2M\r",
      " 16 2944M   16  491M    0     0  10.5M      0  0:04:40  0:00:46  0:03:54 11.2M\r",
      " 17 2944M   17  502M    0     0  10.5M      0  0:04:39  0:00:47  0:03:52 11.2M\r",
      " 17 2944M   17  513M    0     0  10.5M      0  0:04:39  0:00:48  0:03:51 11.2M\r",
      " 17 2944M   17  524M    0     0  10.5M      0  0:04:38  0:00:49  0:03:49 11.2M\r",
      " 18 2944M   18  536M    0     0  10.5M      0  0:04:38  0:00:50  0:03:48 11.2M\r",
      " 18 2944M   18  547M    0     0  10.5M      0  0:04:38  0:00:51  0:03:47 11.2M\r",
      " 18 2944M   18  558M    0     0  10.5M      0  0:04:37  0:00:52  0:03:45 11.2M\r",
      " 19 2944M   19  569M    0     0  10.6M      0  0:04:37  0:00:53  0:03:44 11.2M\r",
      " 19 2944M   19  580M    0     0  10.6M      0  0:04:37  0:00:54  0:03:43 11.2M\r",
      " 20 2944M   20  592M    0     0  10.6M      0  0:04:37  0:00:55  0:03:42 11.2M\r",
      " 20 2944M   20  603M    0     0  10.6M      0  0:04:36  0:00:56  0:03:40 11.2M\r",
      " 20 2944M   20  614M    0     0  10.6M      0  0:04:36  0:00:57  0:03:39 11.2M\r",
      " 21 2944M   21  625M    0     0  10.6M      0  0:04:36  0:00:58  0:03:38 11.2M\r",
      " 21 2944M   21  636M    0     0  10.6M      0  0:04:36  0:00:59  0:03:37 11.1M\r",
      " 21 2944M   21  647M    0     0  10.6M      0  0:04:36  0:01:00  0:03:36 11.1M\r",
      " 22 2944M   22  659M    0     0  10.6M      0  0:04:35  0:01:01  0:03:34 11.1M\r",
      " 22 2944M   22  670M    0     0  10.6M      0  0:04:35  0:01:02  0:03:33 11.1M\r",
      " 23 2944M   23  680M    0     0  10.6M      0  0:04:35  0:01:03  0:03:32 10.8M\r",
      " 23 2944M   23  690M    0     0  10.6M      0  0:04:35  0:01:04  0:03:31 10.8M\r",
      " 23 2944M   23  702M    0     0  10.6M      0  0:04:35  0:01:05  0:03:30 10.8M\r",
      " 24 2944M   24  713M    0     0  10.6M      0  0:04:35  0:01:06  0:03:29 10.8M\r",
      " 24 2944M   24  724M    0     0  10.6M      0  0:04:35  0:01:07  0:03:28 10.8M\r",
      " 24 2944M   24  735M    0     0  10.7M      0  0:04:35  0:01:08  0:03:27 11.0M\r",
      " 25 2944M   25  746M    0     0  10.7M      0  0:04:34  0:01:09  0:03:25 11.1M\r",
      " 25 2944M   25  758M    0     0  10.7M      0  0:04:34  0:01:10  0:03:24 11.2M\r",
      " 26 2944M   26  769M    0     0  10.7M      0  0:04:34  0:01:11  0:03:23 11.2M\r",
      " 26 2944M   26  780M    0     0  10.7M      0  0:04:34  0:01:12  0:03:22 11.2M\r",
      " 26 2944M   26  791M    0     0  10.7M      0  0:04:34  0:01:13  0:03:21 11.2M\r",
      " 27 2944M   27  802M    0     0  10.7M      0  0:04:34  0:01:14  0:03:20 11.2M\r",
      " 27 2944M   27  814M    0     0  10.7M      0  0:04:33  0:01:15  0:03:18 11.2M\r",
      " 28 2944M   28  825M    0     0  10.7M      0  0:04:33  0:01:16  0:03:17 11.2M\r",
      " 28 2944M   28  836M    0     0  10.7M      0  0:04:33  0:01:17  0:03:16 11.2M\r",
      " 28 2944M   28  847M    0     0  10.7M      0  0:04:33  0:01:18  0:03:15 11.2M\r",
      " 29 2944M   29  858M    0     0  10.7M      0  0:04:33  0:01:19  0:03:14 11.2M\r",
      " 29 2944M   29  865M    0     0  10.7M      0  0:04:34  0:01:20  0:03:14 10.2M\r",
      " 29 2944M   29  869M    0     0  10.6M      0  0:04:37  0:01:21  0:03:16 8745k\r",
      " 29 2944M   29  871M    0     0  10.5M      0  0:04:39  0:01:22  0:03:17 7159k\r",
      " 29 2944M   29  878M    0     0  10.4M      0  0:04:40  0:01:23  0:03:17 6300k\r",
      " 30 2944M   30  889M    0     0  10.5M      0  0:04:40  0:01:24  0:03:16 6309k\r",
      " 30 2944M   30  900M    0     0  10.5M      0  0:04:40  0:01:25  0:03:15 7258k\r",
      " 30 2944M   30  912M    0     0  10.5M      0  0:04:39  0:01:26  0:03:13 9054k\r",
      " 31 2944M   31  923M    0     0  10.5M      0  0:04:39  0:01:27  0:03:12 10.3M\r",
      " 31 2944M   31  934M    0     0  10.5M      0  0:04:39  0:01:28  0:03:11 11.2M\r",
      " 32 2944M   32  945M    0     0  10.5M      0  0:04:39  0:01:29  0:03:10 11.2M\r",
      " 32 2944M   32  957M    0     0  10.5M      0  0:04:39  0:01:30  0:03:09 11.2M\r",
      " 32 2944M   32  968M    0     0  10.5M      0  0:04:38  0:01:31  0:03:07 11.2M\r",
      " 33 2944M   33  979M    0     0  10.5M      0  0:04:38  0:01:32  0:03:06 11.2M\r",
      " 33 2944M   33  990M    0     0  10.5M      0  0:04:38  0:01:33  0:03:05 11.2M\r",
      " 34 2944M   34 1001M    0     0  10.5M      0  0:04:38  0:01:34  0:03:04 11.2M\r",
      " 34 2944M   34 1013M    0     0  10.5M      0  0:04:38  0:01:35  0:03:03 11.2M\r",
      " 34 2944M   34 1024M    0     0  10.5M      0  0:04:38  0:01:36  0:03:02 11.2M\r",
      " 35 2944M   35 1035M    0     0  10.5M      0  0:04:37  0:01:37  0:03:00 11.2M\r",
      " 35 2944M   35 1046M    0     0  10.6M      0  0:04:37  0:01:38  0:02:59 11.2M\r",
      " 35 2944M   35 1058M    0     0  10.6M      0  0:04:37  0:01:39  0:02:58 11.2M\r",
      " 36 2944M   36 1069M    0     0  10.6M      0  0:04:37  0:01:40  0:02:57 11.2M\r",
      " 36 2944M   36 1080M    0     0  10.6M      0  0:04:37  0:01:41  0:02:56 11.2M\r",
      " 37 2944M   37 1091M    0     0  10.6M      0  0:04:37  0:01:42  0:02:55 11.2M\r",
      " 37 2944M   37 1102M    0     0  10.6M      0  0:04:36  0:01:43  0:02:53 11.2M\r",
      " 37 2944M   37 1114M    0     0  10.6M      0  0:04:36  0:01:44  0:02:52 11.2M\r",
      " 38 2944M   38 1125M    0     0  10.6M      0  0:04:36  0:01:45  0:02:51 11.2M\r",
      " 38 2944M   38 1136M    0     0  10.6M      0  0:04:36  0:01:46  0:02:50 11.2M\r",
      " 38 2944M   38 1147M    0     0  10.6M      0  0:04:36  0:01:47  0:02:49 11.2M\r",
      " 39 2944M   39 1158M    0     0  10.6M      0  0:04:36  0:01:48  0:02:48 11.2M\r",
      " 39 2944M   39 1170M    0     0  10.6M      0  0:04:36  0:01:49  0:02:47 11.2M\r",
      " 40 2944M   40 1181M    0     0  10.6M      0  0:04:36  0:01:50  0:02:46 11.2M\r",
      " 40 2944M   40 1192M    0     0  10.6M      0  0:04:35  0:01:51  0:02:44 11.2M\r",
      " 40 2944M   40 1203M    0     0  10.6M      0  0:04:35  0:01:52  0:02:43 11.2M\r",
      " 41 2944M   41 1214M    0     0  10.6M      0  0:04:35  0:01:53  0:02:42 11.2M\r",
      " 41 2944M   41 1226M    0     0  10.6M      0  0:04:35  0:01:54  0:02:41 11.2M\r",
      " 42 2944M   42 1237M    0     0  10.6M      0  0:04:35  0:01:55  0:02:40 11.2M\r",
      " 42 2944M   42 1248M    0     0  10.6M      0  0:04:35  0:01:56  0:02:39 11.2M\r",
      " 42 2944M   42 1259M    0     0  10.7M      0  0:04:35  0:01:57  0:02:38 11.2M\r",
      " 43 2944M   43 1271M    0     0  10.7M      0  0:04:35  0:01:58  0:02:37 11.2M\r",
      " 43 2944M   43 1282M    0     0  10.7M      0  0:04:34  0:01:59  0:02:35 11.2M\r",
      " 43 2944M   43 1293M    0     0  10.7M      0  0:04:34  0:02:00  0:02:34 11.2M\r",
      " 44 2944M   44 1304M    0     0  10.7M      0  0:04:34  0:02:01  0:02:33 11.2M\r",
      " 44 2944M   44 1315M    0     0  10.7M      0  0:04:34  0:02:02  0:02:32 11.2M\r",
      " 45 2944M   45 1327M    0     0  10.7M      0  0:04:34  0:02:03  0:02:31 11.2M\r",
      " 45 2944M   45 1338M    0     0  10.7M      0  0:04:34  0:02:04  0:02:30 11.2M\r",
      " 45 2944M   45 1349M    0     0  10.7M      0  0:04:34  0:02:05  0:02:29 11.2M\r",
      " 46 2944M   46 1360M    0     0  10.7M      0  0:04:34  0:02:06  0:02:28 11.2M\r",
      " 46 2944M   46 1371M    0     0  10.7M      0  0:04:34  0:02:07  0:02:27 11.2M\r",
      " 46 2944M   46 1383M    0     0  10.7M      0  0:04:34  0:02:08  0:02:26 11.2M\r",
      " 47 2944M   47 1394M    0     0  10.7M      0  0:04:33  0:02:09  0:02:24 11.2M\r",
      " 47 2944M   47 1405M    0     0  10.7M      0  0:04:33  0:02:10  0:02:23 11.2M\r",
      " 48 2944M   48 1416M    0     0  10.7M      0  0:04:33  0:02:11  0:02:22 11.2M\r",
      " 48 2944M   48 1428M    0     0  10.7M      0  0:04:33  0:02:12  0:02:21 11.2M\r",
      " 48 2944M   48 1439M    0     0  10.7M      0  0:04:33  0:02:13  0:02:20 11.2M\r",
      " 49 2944M   49 1450M    0     0  10.7M      0  0:04:33  0:02:14  0:02:19 11.2M\r",
      " 49 2944M   49 1461M    0     0  10.7M      0  0:04:33  0:02:15  0:02:18 11.2M\r",
      " 50 2944M   50 1472M    0     0  10.7M      0  0:04:33  0:02:16  0:02:17 11.2M\r",
      " 50 2944M   50 1484M    0     0  10.7M      0  0:04:33  0:02:17  0:02:16 11.2M\r",
      " 50 2944M   50 1495M    0     0  10.7M      0  0:04:33  0:02:18  0:02:15 11.2M\r",
      " 51 2944M   51 1506M    0     0  10.7M      0  0:04:33  0:02:19  0:02:14 11.2M\r",
      " 51 2944M   51 1517M    0     0  10.7M      0  0:04:33  0:02:20  0:02:13 11.2M\r",
      " 51 2944M   51 1528M    0     0  10.7M      0  0:04:32  0:02:21  0:02:11 11.2M\r",
      " 52 2944M   52 1540M    0     0  10.7M      0  0:04:32  0:02:22  0:02:10 11.2M\r",
      " 52 2944M   52 1546M    0     0  10.7M      0  0:04:33  0:02:23  0:02:10  9.9M\r",
      " 52 2944M   52 1549M    0     0  10.7M      0  0:04:35  0:02:24  0:02:11 8729k\r",
      " 52 2944M   52 1552M    0     0  10.6M      0  0:04:36  0:02:25  0:02:11 7171k\r",
      " 52 2944M   52 1559M    0     0  10.6M      0  0:04:37  0:02:26  0:02:11 6322k\r",
      " 53 2944M   53 1571M    0     0  10.6M      0  0:04:36  0:02:27  0:02:09 6321k\r",
      " 53 2944M   53 1582M    0     0  10.6M      0  0:04:36  0:02:28  0:02:08 7492k\r",
      " 54 2944M   54 1593M    0     0  10.6M      0  0:04:36  0:02:29  0:02:07 9092k\r",
      " 54 2944M   54 1604M    0     0  10.6M      0  0:04:36  0:02:30  0:02:06 10.3M\r",
      " 54 2944M   54 1615M    0     0  10.6M      0  0:04:36  0:02:31  0:02:05 11.2M\r",
      " 55 2944M   55 1627M    0     0  10.6M      0  0:04:36  0:02:32  0:02:04 11.2M\r",
      " 55 2944M   55 1638M    0     0  10.6M      0  0:04:36  0:02:33  0:02:03 11.2M\r",
      " 56 2944M   56 1649M    0     0  10.6M      0  0:04:36  0:02:34  0:02:02 11.2M\r",
      " 56 2944M   56 1660M    0     0  10.6M      0  0:04:36  0:02:35  0:02:01 11.1M\r",
      " 56 2944M   56 1671M    0     0  10.6M      0  0:04:36  0:02:36  0:02:00 11.2M\r",
      " 57 2944M   57 1682M    0     0  10.6M      0  0:04:36  0:02:37  0:01:59 11.1M\r",
      " 57 2944M   57 1693M    0     0  10.6M      0  0:04:35  0:02:38  0:01:57 11.0M\r",
      " 57 2944M   57 1704M    0     0  10.6M      0  0:04:35  0:02:39  0:01:56 11.0M\r",
      " 58 2944M   58 1716M    0     0  10.6M      0  0:04:35  0:02:40  0:01:55 11.0M\r",
      " 58 2944M   58 1727M    0     0  10.6M      0  0:04:35  0:02:41  0:01:54 11.0M\r",
      " 59 2944M   59 1738M    0     0  10.6M      0  0:04:35  0:02:42  0:01:53 11.1M\r",
      " 59 2944M   59 1749M    0     0  10.6M      0  0:04:35  0:02:43  0:01:52 11.1M\r",
      " 59 2944M   59 1760M    0     0  10.6M      0  0:04:35  0:02:44  0:01:51 11.2M\r",
      " 60 2944M   60 1772M    0     0  10.6M      0  0:04:35  0:02:45  0:01:50 11.2M\r",
      " 60 2944M   60 1783M    0     0  10.6M      0  0:04:35  0:02:46  0:01:49 11.2M\r",
      " 60 2944M   60 1794M    0     0  10.6M      0  0:04:35  0:02:47  0:01:48 11.2M\r",
      " 61 2944M   61 1805M    0     0  10.7M      0  0:04:35  0:02:48  0:01:47 11.2M\r",
      " 61 2944M   61 1816M    0     0  10.7M      0  0:04:35  0:02:49  0:01:46 11.2M\r",
      " 62 2944M   62 1828M    0     0  10.7M      0  0:04:35  0:02:50  0:01:45 11.2M\r",
      " 62 2944M   62 1839M    0     0  10.7M      0  0:04:34  0:02:51  0:01:43 11.1M\r",
      " 62 2944M   62 1850M    0     0  10.7M      0  0:04:34  0:02:52  0:01:42 11.1M\r",
      " 63 2944M   63 1861M    0     0  10.7M      0  0:04:34  0:02:53  0:01:41 11.2M\r",
      " 63 2944M   63 1872M    0     0  10.7M      0  0:04:34  0:02:54  0:01:40 11.1M\r",
      " 63 2944M   63 1884M    0     0  10.7M      0  0:04:34  0:02:55  0:01:39 11.1M\r",
      " 64 2944M   64 1895M    0     0  10.7M      0  0:04:34  0:02:56  0:01:38 11.2M\r",
      " 64 2944M   64 1906M    0     0  10.7M      0  0:04:34  0:02:57  0:01:37 11.2M\r",
      " 64 2944M   64 1913M    0     0  10.7M      0  0:04:35  0:02:58  0:01:37 10.3M\r",
      " 65 2944M   65 1917M    0     0  10.6M      0  0:04:36  0:02:59  0:01:37 9114k\r",
      " 65 2944M   65 1921M    0     0  10.6M      0  0:04:37  0:03:00  0:01:37 7564k\r",
      " 65 2944M   65 1924M    0     0  10.5M      0  0:04:38  0:03:01  0:01:37 5877k\r",
      " 65 2944M   65 1926M    0     0  10.5M      0  0:04:39  0:03:02  0:01:37 4145k\r",
      " 65 2944M   65 1931M    0     0  10.5M      0  0:04:40  0:03:03  0:01:37 3611k\r",
      " 65 2944M   65 1937M    0     0  10.4M      0  0:04:40  0:03:04  0:01:36 4066k\r",
      " 65 2944M   65 1942M    0     0  10.4M      0  0:04:41  0:03:05  0:01:36 4440k\r",
      " 66 2944M   66 1949M    0     0  10.4M      0  0:04:42  0:03:06  0:01:36 5121k\r",
      " 66 2944M   66 1954M    0     0  10.4M      0  0:04:42  0:03:07  0:01:35 5681k\r",
      " 66 2944M   66 1962M    0     0  10.3M      0  0:04:43  0:03:08  0:01:35 6381k\r",
      " 66 2944M   66 1972M    0     0  10.3M      0  0:04:43  0:03:09  0:01:34 7224k\r",
      " 67 2944M   67 1983M    0     0  10.3M      0  0:04:43  0:03:10  0:01:33 8329k\r",
      " 67 2944M   67 1994M    0     0  10.4M      0  0:04:43  0:03:11  0:01:32 9284k\r",
      " 68 2944M   68 2005M    0     0  10.4M      0  0:04:42  0:03:12  0:01:30 10.2M\r",
      " 68 2944M   68 2016M    0     0  10.4M      0  0:04:42  0:03:13  0:01:29 10.9M\r",
      " 68 2944M   68 2028M    0     0  10.4M      0  0:04:42  0:03:14  0:01:28 11.1M\r",
      " 69 2944M   69 2039M    0     0  10.4M      0  0:04:42  0:03:15  0:01:27 11.2M\r",
      " 69 2944M   69 2050M    0     0  10.4M      0  0:04:42  0:03:16  0:01:26 11.2M\r",
      " 70 2944M   70 2061M    0     0  10.4M      0  0:04:42  0:03:17  0:01:25 11.2M\r",
      " 70 2944M   70 2072M    0     0  10.4M      0  0:04:42  0:03:18  0:01:24 11.2M\r",
      " 70 2944M   70 2084M    0     0  10.4M      0  0:04:42  0:03:19  0:01:23 11.2M\r",
      " 71 2944M   71 2095M    0     0  10.4M      0  0:04:42  0:03:20  0:01:22 11.2M\r",
      " 71 2944M   71 2106M    0     0  10.4M      0  0:04:42  0:03:21  0:01:21 11.2M\r",
      " 71 2944M   71 2117M    0     0  10.4M      0  0:04:41  0:03:22  0:01:19 11.2M\r",
      " 72 2944M   72 2129M    0     0  10.4M      0  0:04:41  0:03:23  0:01:18 11.2M\r",
      " 72 2944M   72 2140M    0     0  10.4M      0  0:04:41  0:03:24  0:01:17 11.2M\r",
      " 73 2944M   73 2151M    0     0  10.4M      0  0:04:41  0:03:25  0:01:16 11.2M\r",
      " 73 2944M   73 2156M    0     0  10.4M      0  0:04:42  0:03:26  0:01:16  9.9M\r",
      " 73 2944M   73 2160M    0     0  10.3M      0  0:04:43  0:03:27  0:01:16 8650k\r",
      " 73 2944M   73 2162M    0     0  10.3M      0  0:04:44  0:03:28  0:01:16 6896k\r",
      " 73 2944M   73 2170M    0     0  10.3M      0  0:04:44  0:03:29  0:01:15 6289k\r",
      " 74 2944M   74 2182M    0     0  10.3M      0  0:04:44  0:03:30  0:01:14 6295k\r",
      " 74 2944M   74 2193M    0     0  10.3M      0  0:04:44  0:03:31  0:01:13 7590k\r",
      " 74 2944M   74 2204M    0     0  10.3M      0  0:04:44  0:03:32  0:01:12 9120k\r",
      " 75 2944M   75 2215M    0     0  10.3M      0  0:04:44  0:03:33  0:01:11 10.6M\r",
      " 75 2944M   75 2226M    0     0  10.3M      0  0:04:43  0:03:34  0:01:09 11.2M\r",
      " 76 2944M   76 2238M    0     0  10.3M      0  0:04:43  0:03:35  0:01:08 11.2M\r",
      " 76 2944M   76 2249M    0     0  10.3M      0  0:04:43  0:03:36  0:01:07 11.2M\r",
      " 76 2944M   76 2260M    0     0  10.3M      0  0:04:43  0:03:37  0:01:06 11.2M\r",
      " 77 2944M   77 2271M    0     0  10.3M      0  0:04:43  0:03:38  0:01:05 11.2M\r",
      " 77 2944M   77 2283M    0     0  10.3M      0  0:04:43  0:03:39  0:01:04 11.2M\r",
      " 77 2944M   77 2294M    0     0  10.3M      0  0:04:43  0:03:40  0:01:03 11.2M\r",
      " 78 2944M   78 2305M    0     0  10.3M      0  0:04:43  0:03:41  0:01:02 11.2M\r",
      " 78 2944M   78 2316M    0     0  10.4M      0  0:04:43  0:03:42  0:01:01 11.2M\r",
      " 79 2944M   79 2327M    0     0  10.4M      0  0:04:43  0:03:43  0:01:00 11.2M\r",
      " 79 2944M   79 2339M    0     0  10.4M      0  0:04:42  0:03:44  0:00:58 11.2M\r",
      " 79 2944M   79 2350M    0     0  10.4M      0  0:04:42  0:03:45  0:00:57 11.2M\r",
      " 80 2944M   80 2361M    0     0  10.4M      0  0:04:42  0:03:46  0:00:56 11.2M\r",
      " 80 2944M   80 2372M    0     0  10.4M      0  0:04:42  0:03:47  0:00:55 11.2M\r",
      " 80 2944M   80 2384M    0     0  10.4M      0  0:04:42  0:03:48  0:00:54 11.2M\r",
      " 81 2944M   81 2395M    0     0  10.4M      0  0:04:42  0:03:49  0:00:53 11.2M\r",
      " 81 2944M   81 2406M    0     0  10.4M      0  0:04:42  0:03:50  0:00:52 11.2M\r",
      " 82 2944M   82 2417M    0     0  10.4M      0  0:04:42  0:03:51  0:00:51 11.2M\r",
      " 82 2944M   82 2428M    0     0  10.4M      0  0:04:42  0:03:52  0:00:50 11.2M\r",
      " 82 2944M   82 2440M    0     0  10.4M      0  0:04:42  0:03:53  0:00:49 11.2M\r",
      " 83 2944M   83 2451M    0     0  10.4M      0  0:04:41  0:03:54  0:00:47 11.2M\r",
      " 83 2944M   83 2462M    0     0  10.4M      0  0:04:41  0:03:55  0:00:46 11.2M\r",
      " 84 2944M   84 2473M    0     0  10.4M      0  0:04:41  0:03:56  0:00:45 11.2M\r",
      " 84 2944M   84 2484M    0     0  10.4M      0  0:04:41  0:03:57  0:00:44 11.2M\r",
      " 84 2944M   84 2496M    0     0  10.4M      0  0:04:41  0:03:58  0:00:43 11.2M\r",
      " 85 2944M   85 2507M    0     0  10.4M      0  0:04:41  0:03:59  0:00:42 11.2M\r",
      " 85 2944M   85 2518M    0     0  10.4M      0  0:04:41  0:04:00  0:00:41 11.2M\r",
      " 85 2944M   85 2529M    0     0  10.4M      0  0:04:41  0:04:01  0:00:40 11.2M\r",
      " 86 2944M   86 2541M    0     0  10.4M      0  0:04:41  0:04:02  0:00:39 11.2M\r",
      " 86 2944M   86 2552M    0     0  10.4M      0  0:04:41  0:04:03  0:00:38 11.2M\r",
      " 87 2944M   87 2563M    0     0  10.4M      0  0:04:41  0:04:04  0:00:37 11.2M\r",
      " 87 2944M   87 2574M    0     0  10.4M      0  0:04:41  0:04:05  0:00:36 11.2M\r",
      " 87 2944M   87 2585M    0     0  10.4M      0  0:04:40  0:04:06  0:00:34 11.2M\r",
      " 88 2944M   88 2596M    0     0  10.4M      0  0:04:40  0:04:07  0:00:33 11.1M\r",
      " 88 2944M   88 2608M    0     0  10.4M      0  0:04:40  0:04:08  0:00:32 11.1M\r",
      " 88 2944M   88 2619M    0     0  10.4M      0  0:04:40  0:04:09  0:00:31 11.1M\r",
      " 89 2944M   89 2630M    0     0  10.4M      0  0:04:40  0:04:10  0:00:30 11.1M\r",
      " 89 2944M   89 2641M    0     0  10.4M      0  0:04:40  0:04:11  0:00:29 11.1M\r",
      " 90 2944M   90 2652M    0     0  10.4M      0  0:04:40  0:04:12  0:00:28 11.2M\r",
      " 90 2944M   90 2664M    0     0  10.5M      0  0:04:40  0:04:13  0:00:27 11.2M\r",
      " 90 2944M   90 2675M    0     0  10.5M      0  0:04:40  0:04:14  0:00:26 11.2M\r",
      " 91 2944M   91 2686M    0     0  10.5M      0  0:04:40  0:04:15  0:00:25 11.2M\r",
      " 91 2944M   91 2697M    0     0  10.5M      0  0:04:40  0:04:16  0:00:24 11.2M\r",
      " 91 2944M   91 2709M    0     0  10.5M      0  0:04:40  0:04:17  0:00:23 11.2M\r",
      " 92 2944M   92 2720M    0     0  10.5M      0  0:04:40  0:04:18  0:00:22 11.2M\r",
      " 92 2944M   92 2731M    0     0  10.5M      0  0:04:40  0:04:19  0:00:21 11.2M\r",
      " 93 2944M   93 2742M    0     0  10.5M      0  0:04:39  0:04:20  0:00:19 11.2M\r",
      " 93 2944M   93 2753M    0     0  10.5M      0  0:04:39  0:04:21  0:00:18 11.2M\r",
      " 93 2944M   93 2765M    0     0  10.5M      0  0:04:39  0:04:22  0:00:17 11.2M\r",
      " 94 2944M   94 2776M    0     0  10.5M      0  0:04:39  0:04:23  0:00:16 11.2M\r",
      " 94 2944M   94 2787M    0     0  10.5M      0  0:04:39  0:04:24  0:00:15 11.2M\r",
      " 95 2944M   95 2798M    0     0  10.5M      0  0:04:39  0:04:25  0:00:14 11.2M\r",
      " 95 2944M   95 2810M    0     0  10.5M      0  0:04:39  0:04:26  0:00:13 11.2M\r",
      " 95 2944M   95 2821M    0     0  10.5M      0  0:04:39  0:04:27  0:00:12 11.2M\r",
      " 96 2944M   96 2832M    0     0  10.5M      0  0:04:39  0:04:28  0:00:11 11.2M\r",
      " 96 2944M   96 2837M    0     0  10.5M      0  0:04:40  0:04:29  0:00:11 9859k\r",
      " 96 2944M   96 2839M    0     0  10.4M      0  0:04:40  0:04:30  0:00:10 8191k\r",
      " 96 2944M   96 2841M    0     0  10.4M      0  0:04:41  0:04:31  0:00:10 6461k\r",
      " 96 2944M   96 2851M    0     0  10.4M      0  0:04:41  0:04:32  0:00:09 6101k\r",
      " 97 2944M   97 2862M    0     0  10.4M      0  0:04:41  0:04:33  0:00:08 6094k\r",
      " 97 2944M   97 2873M    0     0  10.4M      0  0:04:41  0:04:34  0:00:07 7660k\r",
      " 97 2944M   97 2884M    0     0  10.4M      0  0:04:41  0:04:35  0:00:06 9397k\r",
      " 98 2944M   98 2895M    0     0  10.4M      0  0:04:41  0:04:36  0:00:05 10.9M\r",
      " 98 2944M   98 2907M    0     0  10.4M      0  0:04:41  0:04:37  0:00:04 11.2M\r",
      " 99 2944M   99 2918M    0     0  10.4M      0  0:04:41  0:04:38  0:00:03 11.2M\r",
      " 99 2944M   99 2929M    0     0  10.4M      0  0:04:41  0:04:39  0:00:02 11.2M\r",
      " 99 2944M   99 2940M    0     0  10.4M      0  0:04:41  0:04:40  0:00:01 11.2M\r",
      "100 2944M  100 2944M    0     0  10.4M      0  0:04:41  0:04:41 --:--:-- 11.2M\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "\n",
    "# just to be safe, make sure we have the data directory!\n",
    "mkdir -p ${HOME}/DATA/GEOG0027/gee\n",
    "# and go there\n",
    "cd ${HOME}/DATA/GEOG0027/gee\n",
    "\n",
    "# pull the code file:\n",
    "curl http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/classy.tar.Z -o classy.tar.Z \n",
    "# pull the data file: this will take a few minutes!!\n",
    "curl http://www2.geog.ucl.ac.uk/~plewis/GEOG0027/gee.tar.Z -o gee.tar.Z"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This should have pulled the files we need to the local file system.\n",
    "\n",
    "We can check this, and then uncompress the files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-rw-r--r--  1 plewis  staff   2.6K  8 Feb 13:21 classy.tar.Z\n",
      "-rw-r--r--  1 plewis  staff   2.9G  8 Feb 13:26 gee.tar.Z\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "x classy_lut1.dat\n",
      "x classy_lut3.dat\n",
      "x classy_lut4.dat\n",
      "x classy.pro\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "\n",
    "# just to be safe, make sure we have the data directory!\n",
    "mkdir -p ${HOME}/DATA/GEOG0027/gee\n",
    "# and go there\n",
    "cd ${HOME}/DATA/GEOG0027/gee\n",
    "\n",
    "# get a long listing of the pulled files\n",
    "# to see they are the right size\n",
    "ls -lh classy.tar.Z gee.tar.Z\n",
    "\n",
    "# uncompress them\n",
    "tar xvzf classy.tar.Z\n",
    "tar xzf gee.tar.Z "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's just do a final check that the files are there:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1986\n",
      "1987\n",
      "1988\n",
      "1989\n",
      "1990\n",
      "1991\n",
      "1992\n",
      "1993\n",
      "1994\n",
      "1995\n",
      "1996\n",
      "1997\n",
      "1998\n",
      "1999\n",
      "2000\n",
      "2001\n",
      "2002\n",
      "2003\n",
      "2004\n",
      "2005\n",
      "2006\n",
      "2007\n",
      "2008\n",
      "2009\n",
      "2010\n",
      "2011\n",
      "2012\n",
      "2013\n",
      "2014\n",
      "2015\n",
      "2016\n",
      "2017\n",
      "2018\n",
      "2019\n",
      "classy.pro\n",
      "classy.tar.Z\n",
      "classy_lut1.dat\n",
      "classy_lut3.dat\n",
      "classy_lut4.dat\n",
      "gee.tar.Z\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "cd ${HOME}/DATA/GEOG0027/gee\n",
    "\n",
    "# now ls\n",
    "ls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using ENVI\n",
    "\n",
    "Now we have the files and setup we need, we can simply run `envi`. To do this, type `envi` at the command line prompt:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "IDL 8.7.0 (darwin x86_64 m64).\n",
      "(c) 2018, Harris Geospatial Solutions, Inc.\n",
      "\n",
      "Licensed for use by: University College London-CHEST\n",
      "License: 405435-CHEST:****-****-****-B2C6\n",
      "License expires  5-Mar-2019.\n",
      "A new version is available: IDL 8.7.1\n",
      "https://harrisgeospatial.flexnetoperations.com\n",
      " \n",
      "% Restored file: ENVI.\n",
      "% Loaded DLM: PNG.\n",
      "% Loaded DLM: HPGRAPHICS.\n",
      "% Loaded DLM: XML.\n"
     ]
    }
   ],
   "source": [
    "%%bash \n",
    "/Applications/harris/envi/bin/envi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section, we have learned how to install the data files and software needed to do the coursework on your own computer, for your convenience. You can use all of the (linux) machines in the Geography lab, as we do in class, without the need for your own computer or any of this installation. Ideally, this should all be available on `Desktop@UCL` but that is not currently the case.\n",
    "\n",
    "\n",
    "* Instructions summary / checklist:\n",
    "    * [Download and install ENVI and active license](#Stand-alone-installation-of-ENVI)\n",
    "    * [Set up and install VPN](#Set-up-a-UCL-VPN-connection)\n",
    "    * Windows: [Download the data files and run ENVI + IDL](#Using-ENVI-for-GEOG0027-on-a-PC-(windows-machine))\n",
    "    * Mac or Linux: [Download the data files and run envi](#Using-ENVI-for-GEOG0027-on-linux-(Unix)-or-Mac-(apple-machine))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": false,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "353.796875px"
   },
   "toc_section_display": false,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}