From 1da8decd1cd794c112d0009d2ab211181df7c866 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Wed, 14 Feb 2024 16:31:18 +0000
Subject: [PATCH] Rebuild pages at 58b1607

---
 CONDUCT.html                                  |  11 +-
 CONTRIBUTING.html                             |  11 +-
 LICENSE.html                                  |  11 +-
 .../advanced-python_33ModelTuning_14_2.png    | Bin 26013 -> 26244 bytes
 .../advanced-python_33ModelTuning_14_3.png    | Bin 26865 -> 27005 bytes
 .../advanced-python_33ModelTuning_15_2.png    | Bin 22146 -> 21966 bytes
 .../advanced-python_33ModelTuning_15_3.png    | Bin 27770 -> 27842 bytes
 .../advanced-python_33ModelTuning_15_4.png    | Bin 22689 -> 22625 bytes
 .../advanced-python_33ModelTuning_23_2.png    | Bin 19214 -> 18607 bytes
 .../advanced-python_33ModelTuning_23_3.png    | Bin 30300 -> 30293 bytes
 .../advanced-python_33ModelTuning_23_4.png    | Bin 27548 -> 27515 bytes
 .../advanced-python_33ModelTuning_29_1.png    | Bin 38334 -> 38368 bytes
 .../advanced-python_33ModelTuning_30_5.png    | Bin 37026 -> 36887 bytes
 ...advanced-python_45DemoReweighting_11_5.png | Bin 36656 -> 36674 bytes
 ...advanced-python_45DemoReweighting_13_3.png | Bin 36527 -> 35984 bytes
 ...advanced-python_45DemoReweighting_15_3.png | Bin 40491 -> 36684 bytes
 ...advanced-python_45DemoReweighting_17_3.png | Bin 40676 -> 39357 bytes
 ...advanced-python_45DemoReweighting_28_1.png | Bin 11538 -> 11536 bytes
 ...advanced-python_45DemoReweighting_32_6.png | Bin 38652 -> 38339 bytes
 ...advanced-python_45DemoReweighting_35_1.png | Bin 11884 -> 11296 bytes
 ...nced-python_50LikelihoodInference_16_1.png | Bin 29135 -> 29668 bytes
 ...nced-python_50LikelihoodInference_28_1.png | Bin 36085 -> 35406 bytes
 _images/advanced-python_60sPlot_10_0.png      | Bin 13175 -> 17084 bytes
 _images/advanced-python_60sPlot_12_0.png      | Bin 12447 -> 16366 bytes
 _images/advanced-python_60sPlot_19_0.png      | Bin 24910 -> 23990 bytes
 _images/advanced-python_60sPlot_23_1.png      | Bin 34329 -> 33686 bytes
 _images/advanced-python_60sPlot_28_0.png      | Bin 48045 -> 47773 bytes
 _images/advanced-python_60sPlot_32_0.png      | Bin 10952 -> 10918 bytes
 _images/advanced-python_60sPlot_35_0.png      | Bin 17853 -> 19871 bytes
 _images/advanced-python_60sPlot_37_1.png      | Bin 16467 -> 15709 bytes
 _images/advanced-python_60sPlot_39_1.png      | Bin 37974 -> 37921 bytes
 _images/advanced-python_60sPlot_42_1.png      | Bin 30543 -> 30546 bytes
 _images/advanced-python_60sPlot_46_0.png      | Bin 29734 -> 30048 bytes
 _images/advanced-python_60sPlot_48_0.png      | Bin 25419 -> 21383 bytes
 _images/advanced-python_60sPlot_4_1.png       | Bin 12291 -> 12322 bytes
 _images/advanced-python_60sPlot_54_0.png      | Bin 17483 -> 14418 bytes
 _images/advanced-python_60sPlot_7_0.png       | Bin 27813 -> 27628 bytes
 .../shell-extras/persistent-screen.md.txt     |  38 +-
 _sources/shell-extras/screen.md.txt           |  23 +-
 advanced-python/10Basics.html                 |  27 +-
 advanced-python/10Basics.ipynb                | 204 +++---
 advanced-python/11AdvancedPython.html         |  13 +-
 advanced-python/11AdvancedPython.ipynb        | 402 +++++-----
 advanced-python/12AdvancedClasses.html        |  11 +-
 advanced-python/12AdvancedClasses.ipynb       | 216 +++---
 advanced-python/20DataAndPlotting.html        |  19 +-
 advanced-python/20DataAndPlotting.ipynb       | 208 +++---
 advanced-python/30Classification.html         |  21 +-
 advanced-python/30Classification.ipynb        | 258 +++----
 .../31ClassificationExtension.html            |  27 +-
 .../31ClassificationExtension.ipynb           |  86 +--
 advanced-python/32BoostingToUniformity.html   |  11 +-
 advanced-python/33ModelTuning.html            |  63 +-
 advanced-python/33ModelTuning.ipynb           | 256 +++----
 advanced-python/40Histograms.html             | 453 ++++++------
 advanced-python/40Histograms.ipynb            | 684 +++++++++---------
 advanced-python/45DemoReweighting.html        | 119 ++-
 advanced-python/45DemoReweighting.ipynb       | 296 ++++----
 advanced-python/50LikelihoodInference.html    |  59 +-
 advanced-python/50LikelihoodInference.ipynb   | 236 +++---
 advanced-python/60sPlot.html                  |  43 +-
 advanced-python/60sPlot.ipynb                 | 318 ++++----
 advanced-python/70ScikitHEPUniverse.html      |  11 +-
 advanced-python/70ScikitHEPUniverse.ipynb     | 128 ++--
 advanced-python/README.html                   |  11 +-
 genindex.html                                 |  11 +-
 git/01-basics.html                            |  11 +-
 git/02-setup.html                             |  11 +-
 git/03-create.html                            |  11 +-
 git/04-changes.html                           |  11 +-
 git/05-history.html                           |  11 +-
 git/06-ignore.html                            |  11 +-
 git/07-gitlab.html                            |  11 +-
 git/08-share.html                             |  11 +-
 git/09-pullrequests.html                      |  11 +-
 git/10-conflict.html                          |  11 +-
 git/11-ci.html                                |  11 +-
 git/12-open.html                              |  11 +-
 git/13-licensing.html                         |  11 +-
 git/14-citation.html                          |  11 +-
 git/README.html                               |  11 +-
 index.html                                    |  17 +-
 objects.inv                                   | Bin 7879 -> 7935 bytes
 python/00scripts.html                         |  11 +-
 python/01basics.html                          |  13 +-
 python/01basics.ipynb                         | 408 +++++------
 python/README.html                            |  11 +-
 python/classes.html                           |  11 +-
 python/classes.ipynb                          | 168 ++---
 python/conditions.html                        |  11 +-
 python/dictionaries.html                      |  11 +-
 python/first_histogram.html                   |  11 +-
 python/further_reading.html                   |  11 +-
 python/learning.html                          |  11 +-
 python/lists.html                             |  11 +-
 python/methods.html                           |  11 +-
 python/modules.html                           |  11 +-
 python/numbers.html                           |  11 +-
 python/operators.html                         |  11 +-
 python/running.html                           |  11 +-
 python/scripting.html                         |  11 +-
 python/strings.html                           |  11 +-
 search.html                                   |  11 +-
 searchindex.js                                |   2 +-
 shell-extras/README.html                      |  22 +-
 shell-extras/persistent-screen.html           |  56 +-
 shell-extras/screen.html                      |  32 +-
 shell-extras/screen2.html                     |  11 +-
 shell-extras/shell2.html                      |  11 +-
 shell/02-filedir.html                         |  11 +-
 shell/03-create.html                          |  11 +-
 shell/04-pipefilter.html                      |  11 +-
 shell/05-loop.html                            |  11 +-
 shell/06-script.html                          |  11 +-
 shell/07-find.html                            |  11 +-
 shell/README.html                             |  11 +-
 snakemake/README.html                         |  11 +-
 117 files changed, 2903 insertions(+), 2562 deletions(-)

diff --git a/CONDUCT.html b/CONDUCT.html
index 870eadbb..f1f89091 100644
--- a/CONDUCT.html
+++ b/CONDUCT.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/CONTRIBUTING.html b/CONTRIBUTING.html
index bb7c649c..c7715be3 100644
--- a/CONTRIBUTING.html
+++ b/CONTRIBUTING.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/LICENSE.html b/LICENSE.html
index 3fcdf96d..81c73f4f 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -354,9 +354,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
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diff --git a/_images/advanced-python_45DemoReweighting_13_3.png b/_images/advanced-python_45DemoReweighting_13_3.png
index e65c2780ec2f36a76cb9f22a2d5b08f1ce690be1..b9b7bbe36017de5aaa53daf066cf112e82aff0ef 100644
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diff --git a/_images/advanced-python_45DemoReweighting_17_3.png b/_images/advanced-python_45DemoReweighting_17_3.png
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diff --git a/_sources/shell-extras/persistent-screen.md.txt b/_sources/shell-extras/persistent-screen.md.txt
index d8a412ba..b729c574 100644
--- a/_sources/shell-extras/persistent-screen.md.txt
+++ b/_sources/shell-extras/persistent-screen.md.txt
@@ -1,6 +1,19 @@
 ## Persistent screen or tmux session on lxplus
 
-### Setting up password-less kerberos token
+The behavior of screen and tmux on lxplus depends on which version of lxplus you are using.
+
+### lxplus7
+
+If you are using lxplus7, you must manually initialize a kerberos token to give the screen or tmux session permission to continue to write even after you log out.
+This requires jumping through a few hoops, described below.
+
+{% callout "Alternative for lxplus7" %}
+
+If you prefer, you can follow the instructions in [KB0002408](https://cern.service-now.com/service-portal?id=kb_article&n=KB0002408), instead of those below.
+
+{% endcallout %}
+
+#### Setting up password-less kerberos token on lxplus7
 
 In order for the kerberos token to be refreshed automatically, it must be possible to do so without a password.
 Therefore, we create a keytab (similar to a private ssh key) on lxplus using the provided `cern-get-keytab` utility. Note it will prompt for your password, in order to generate the keytab.
@@ -29,13 +42,14 @@ kdestroy; kinit -kt ~/private/$USER.keytab $USER; klist
 ```
 This should display information about a ticket cache.
 
-### Making use of the keytab
+#### Making use of the keytab on lxplus7
 This keytab file can now be used to obtain kerberos tokens without having to type a password:
 ```bash
 kinit -k -t ~/private/$USER.keytab $USER@CERN.CH
 ```
 where `-k` tells `kinit` to use a keytab file and `-t ~/private/$USER.keytab` where this keytab actually is.
-### Using k5reauth to automatically refresh your kerberos token
+
+#### Using k5reauth to automatically refresh your kerberos token on lxplus7
 To create a permanent session of `tmux` or `screen`, the `k5reauth` command is used, which by default creates a new shell and attaches it as a child to itself and keeps renewing the kerberos token for its children. `k5reauth` can start processes other than a new shell by specifying the program you want to start as an argument
 ```bash
 k5reauth -f -i 3600 -p .... -- <command>
@@ -78,3 +92,21 @@ You could then start a tmux session named “Test” using
 ktmux Test
 ```
 Note that you will still have to follow the rest of the recipe (`kinit`, detach, log out, log in, attach, `kinit`) manually to get a persistent session.
+
+### lxplus8
+
+If you are on lxplus8, many of the above issues do not apply. You can simply create a screen or tmux session as normal; then, when you log back in to that node, it will still be there. You don't even have to initialize a kerberos token.
+
+> This advice has not been tested for sessions lasting more than 24 hours.
+> If you're worried, you can follow the recipe for lxplus7 or lxplus9.
+
+### lxplus9
+
+If you are on lxplus9, your screen or tmux session will be killed when you log out.
+To avoid this, you must follow the recipe in [KB0008111](https://cern.service-now.com/service-portal?id=kb_article&n=KB0008111) to initialize the session:
+```bash
+systemctl --user start tmux.service
+tmux a
+```
+This will auto-renew your kerberos ticket as well, obviating the need to call `kinit` or use keytabs.
+The recipe for lxplus7 *will not work*.
diff --git a/_sources/shell-extras/screen.md.txt b/_sources/shell-extras/screen.md.txt
index 35184ca6..9626bb68 100644
--- a/_sources/shell-extras/screen.md.txt
+++ b/_sources/shell-extras/screen.md.txt
@@ -96,25 +96,10 @@ machine with:
 $ ssh lxplus0081.cern.ch
 ```
 
-Another complication are your kerberos tokens. These typically
-expire as soon as you disconnect from a `lxplus` machine. This means
-the program you left running inside the `screen` session will
-suddenly not be able to write to any files in your home directory
-anymore. This is particularly annoying if you are running `ganga`
-in your screen session.
-
-One way to stop your tokens from expiring is to type `kinit`
-when you first start a new `screen` session. The tokens you get
-this way will survive you disconnecting. However they will
-expire after 24 hours, so you will have to type `kinit` again
-to renew them if you leave `screen` running for longer than
-24 hours.
-
-```bash
-$ screen
-# now inside the screen session
-$ kinit
-```
+On lxplus, you will need to ensure your session is not killed and
+your write permissions continue when you log out.
+See the [persistent screen lesson](https://hsf-training.github.io/analysis-essentials/shell-extras/persistent-screen.html)
+for more information.
 
 {% callout "tmux" %}
 
diff --git a/advanced-python/10Basics.html b/advanced-python/10Basics.html
index 9e5bd72f..f11310b5 100644
--- a/advanced-python/10Basics.html
+++ b/advanced-python/10Basics.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -744,7 +749,7 @@ <h2>Jupyter<a class="headerlink" href="#Jupyter" title="Link to this heading">
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
---2024-02-06 00:26:51--  https://example.com/index.html
+--2024-02-14 15:59:15--  https://example.com/index.html
 Resolving example.com (example.com)... 93.184.216.34, 2606:2800:220:1:248:1893:25c8:1946
 Connecting to example.com (example.com)|93.184.216.34|:443... connected.
 HTTP request sent, awaiting response... 200 OK
@@ -755,7 +760,7 @@ <h2>Jupyter<a class="headerlink" href="#Jupyter" title="Link to this heading">
 index.html          100%[===================&amp;gt;]   1.23K  –.-KB/s    in 0s</p>
 <blockquote>
 <div><blockquote>
-<div><p>2024-02-06 00:26:51 (82.9 MB/s) - ‘index.html’ saved [1256/1256]</p>
+<div><p>2024-02-14 15:59:15 (75.1 MB/s) - ‘index.html’ saved [1256/1256]</p>
 <p>&lt;/pre&gt;</p>
 </div></blockquote>
 </div></blockquote>
@@ -763,14 +768,14 @@ <h2>Jupyter<a class="headerlink" href="#Jupyter" title="Link to this heading">
 index.html          100%[===================&gt;]   1.23K  –.-KB/s    in 0s</p>
 <blockquote>
 <div><blockquote>
-<div><p>2024-02-06 00:26:51 (82.9 MB/s) - ‘index.html’ saved [1256/1256]</p>
+<div><p>2024-02-14 15:59:15 (75.1 MB/s) - ‘index.html’ saved [1256/1256]</p>
 <p>end{sphinxVerbatim}</p>
 </div></blockquote>
 </div></blockquote>
 <p>index.html            0%[                    ]       0  –.-KB/s
 index.html          100%[===================&gt;]   1.23K  –.-KB/s    in 0s</p>
 <blockquote>
-<div><p>2024-02-06 00:26:51 (82.9 MB/s) - ‘index.html’ saved [1256/1256]</p>
+<div><p>2024-02-14 15:59:15 (75.1 MB/s) - ‘index.html’ saved [1256/1256]</p>
 </div></blockquote>
 <p>Time how long something takes for one line:</p>
 <div class="nbinput docutils container">
@@ -786,8 +791,8 @@ <h2>Jupyter<a class="headerlink" href="#Jupyter" title="Link to this heading">
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-CPU times: user 482 µs, sys: 112 µs, total: 594 µs
-Wall time: 598 µs
+CPU times: user 597 µs, sys: 0 ns, total: 597 µs
+Wall time: 602 µs
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -816,8 +821,8 @@ <h2>Jupyter<a class="headerlink" href="#Jupyter" title="Link to this heading">
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-CPU times: user 1.35 ms, sys: 0 ns, total: 1.35 ms
-Wall time: 1.35 ms
+CPU times: user 1.08 ms, sys: 223 µs, total: 1.3 ms
+Wall time: 1.31 ms
 </pre></div></div>
 </div>
 <p>If something takes longer than you expect, you can profile it to find out where it spends it’s time:</p>
diff --git a/advanced-python/10Basics.ipynb b/advanced-python/10Basics.ipynb
index b2b7e898..c534a0d4 100644
--- a/advanced-python/10Basics.ipynb
+++ b/advanced-python/10Basics.ipynb
@@ -54,10 +54,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.143586Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.143430Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.149515Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.149027Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.579597Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.579438Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.585012Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.584516Z"
     }
    },
    "outputs": [
@@ -84,10 +84,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.176583Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.176259Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.179348Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.178897Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.611268Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.610943Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.613814Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.613322Z"
     }
    },
    "outputs": [
@@ -114,10 +114,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.181221Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.180942Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.183895Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.183492Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.615670Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.615372Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.618106Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.617652Z"
     }
    },
    "outputs": [
@@ -152,10 +152,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.185555Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.185392Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.188411Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.188015Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.619877Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.619582Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.622577Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.622180Z"
     }
    },
    "outputs": [
@@ -188,10 +188,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.190034Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.189880Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.192516Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.192056Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.624410Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.624009Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.626937Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.626541Z"
     }
    },
    "outputs": [
@@ -213,10 +213,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.194112Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.193960Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.196685Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.196297Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.628543Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.628385Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.630993Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.630549Z"
     }
    },
    "outputs": [
@@ -297,10 +297,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.198544Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.198221Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.200882Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.200435Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.632662Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.632508Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.635436Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.635044Z"
     }
    },
    "outputs": [
@@ -342,10 +342,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.202747Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.202321Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.207152Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.206681Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.637024Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.636865Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.641430Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.640999Z"
     }
    },
    "outputs": [
@@ -369,10 +369,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.208891Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.208634Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.210925Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.210435Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.643320Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.642981Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.645195Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.644837Z"
     }
    },
    "outputs": [],
@@ -392,10 +392,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.212703Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.212408Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.340577Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.339982Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.646853Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.646697Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.774722Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.774210Z"
     }
    },
    "outputs": [
@@ -422,10 +422,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.343073Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.342620Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.507730Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.507202Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.777048Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.776701Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.941462Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.940839Z"
     }
    },
    "outputs": [
@@ -433,7 +433,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-06 00:26:51--  https://example.com/index.html\r\n",
+      "--2024-02-14 15:59:15--  https://example.com/index.html\r\n",
       "Resolving example.com (example.com)... 93.184.216.34, 2606:2800:220:1:248:1893:25c8:1946\r\n",
       "Connecting to example.com (example.com)|93.184.216.34|:443... connected.\r\n",
       "HTTP request sent, awaiting response... 200 OK\r\n",
@@ -444,7 +444,7 @@
       "index.html            0%[                    ]       0  --.-KB/s               \r",
       "index.html          100%[===================>]   1.23K  --.-KB/s    in 0s      \r\n",
       "\r\n",
-      "2024-02-06 00:26:51 (82.9 MB/s) - ‘index.html’ saved [1256/1256]\r\n",
+      "2024-02-14 15:59:15 (75.1 MB/s) - ‘index.html’ saved [1256/1256]\r\n",
       "\r\n"
      ]
     }
@@ -465,10 +465,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.510265Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.509916Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.515266Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.514763Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.944157Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.943725Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.948969Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.948488Z"
     }
    },
    "outputs": [
@@ -476,8 +476,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 482 µs, sys: 112 µs, total: 594 µs\n",
-      "Wall time: 598 µs\n"
+      "CPU times: user 597 µs, sys: 0 ns, total: 597 µs\n",
+      "Wall time: 602 µs\n"
      ]
     },
     {
@@ -507,10 +507,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.516928Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.516791Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.521592Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.521200Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.950835Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.950520Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.955403Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.954999Z"
     }
    },
    "outputs": [
@@ -518,8 +518,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 1.35 ms, sys: 0 ns, total: 1.35 ms\n",
-      "Wall time: 1.35 ms\n"
+      "CPU times: user 1.08 ms, sys: 223 µs, total: 1.3 ms\n",
+      "Wall time: 1.31 ms\n"
      ]
     }
    ],
@@ -562,10 +562,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.523419Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.523122Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.525482Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.525025Z"
+     "iopub.execute_input": "2024-02-14T15:59:15.957202Z",
+     "iopub.status.busy": "2024-02-14T15:59:15.957053Z",
+     "iopub.status.idle": "2024-02-14T15:59:15.959257Z",
+     "shell.execute_reply": "2024-02-14T15:59:15.958903Z"
     }
    },
    "outputs": [],
@@ -579,10 +579,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:51.527128Z",
-     "iopub.status.busy": "2024-02-06T00:26:51.526968Z",
-     "iopub.status.idle": "2024-02-06T00:26:51.553013Z",
-     "shell.execute_reply": "2024-02-06T00:26:51.552545Z"
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@@ -602,10 +602,10 @@
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@@ -618,10 +618,10 @@
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@@ -641,10 +641,10 @@
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@@ -665,10 +665,10 @@
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@@ -692,10 +692,10 @@
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@@ -725,10 +725,10 @@
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@@ -752,10 +752,10 @@
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    "metadata": {
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      "raises-exception"
@@ -794,10 +794,10 @@
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@@ -843,10 +843,10 @@
    "execution_count": 24,
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-     "shell.execute_reply": "2024-02-06T00:26:51.846282Z"
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      "raises-exception"
diff --git a/advanced-python/11AdvancedPython.html b/advanced-python/11AdvancedPython.html
index 3750bea1..a7f11bc9 100644
--- a/advanced-python/11AdvancedPython.html
+++ b/advanced-python/11AdvancedPython.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -957,7 +962,7 @@ <h2>Decorators and factories<a class="headerlink" href="#Decorators-and-factorie
 <div class="highlight"><pre>
 ()
 {&#39;y&#39;: 4, &#39;x&#39;: 5}
-time needed: 1.1920928955078125e-06
+time needed: 9.5367431640625e-07
 </pre></div></div>
 </div>
 <div class="nbinput nblast docutils container">
diff --git a/advanced-python/11AdvancedPython.ipynb b/advanced-python/11AdvancedPython.ipynb
index 9fea085d..d7a2ed42 100644
--- a/advanced-python/11AdvancedPython.ipynb
+++ b/advanced-python/11AdvancedPython.ipynb
@@ -19,10 +19,10 @@
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-     "shell.execute_reply": "2024-02-06T00:26:53.777043Z"
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@@ -46,10 +46,10 @@
    "execution_count": 2,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.781096Z"
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@@ -62,10 +62,10 @@
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@@ -96,10 +96,10 @@
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     }
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@@ -112,10 +112,10 @@
    "execution_count": 5,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.795772Z"
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@@ -146,10 +146,10 @@
    "execution_count": 6,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.799547Z"
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     }
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@@ -169,10 +169,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.803223Z"
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@@ -192,10 +192,10 @@
    "execution_count": 8,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.807265Z"
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@@ -210,10 +210,10 @@
    "execution_count": 9,
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@@ -237,10 +237,10 @@
    "execution_count": 10,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.815231Z"
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@@ -262,10 +262,10 @@
    "execution_count": 11,
    "metadata": {
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     }
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@@ -312,10 +312,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.823134Z"
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@@ -335,10 +335,10 @@
    "execution_count": 13,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.827162Z"
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@@ -373,10 +373,10 @@
    "execution_count": 14,
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-     "shell.execute_reply": "2024-02-06T00:26:53.831257Z"
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@@ -397,10 +397,10 @@
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-     "shell.execute_reply": "2024-02-06T00:26:53.835394Z"
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+     "shell.execute_reply": "2024-02-14T15:59:18.155592Z"
     }
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    "outputs": [],
@@ -427,10 +427,10 @@
    "execution_count": 16,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:26:53.837504Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.159306Z"
     }
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    "outputs": [],
@@ -456,10 +456,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.841368Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.843511Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.161252Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.163474Z"
     }
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    "outputs": [
@@ -489,10 +489,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.845649Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.845360Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.847502Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.165482Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.165346Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.167745Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.167389Z"
     }
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    "outputs": [],
@@ -519,10 +519,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.849761Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.849402Z",
-     "iopub.status.idle": "2024-02-06T00:26:53.852396Z",
-     "shell.execute_reply": "2024-02-06T00:26:53.851924Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.169480Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.171680Z"
     }
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    "outputs": [],
@@ -547,10 +547,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.853797Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.856037Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.174008Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.175945Z"
     }
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    "outputs": [
@@ -590,10 +590,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.858037Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.860016Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.178215Z",
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+     "iopub.status.idle": "2024-02-14T15:59:18.180484Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.180073Z"
     }
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    "outputs": [],
@@ -609,10 +609,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.862347Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.861994Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.863829Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.182242Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.181879Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.184123Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.183742Z"
     }
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    "outputs": [],
@@ -625,10 +625,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.865624Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.868364Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.185798Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.185501Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.188138Z"
     }
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    "outputs": [
@@ -652,10 +652,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.870256Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.872274Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.190160Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.192133Z"
     }
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    "outputs": [],
@@ -672,10 +672,10 @@
    "execution_count": 25,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:53.875892Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.194072Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.195667Z"
     }
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    "outputs": [],
@@ -688,10 +688,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.877917Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.877763Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.880356Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.197570Z",
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+     "iopub.status.idle": "2024-02-14T15:59:18.200369Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.199952Z"
     }
    },
    "outputs": [
@@ -715,10 +715,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.882324Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.882173Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.883868Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.201933Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.201794Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.203779Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.203416Z"
     }
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    "outputs": [],
@@ -758,10 +758,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.885713Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.888053Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.205514Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.207587Z"
     }
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    "outputs": [],
@@ -783,10 +783,10 @@
    "execution_count": 29,
    "metadata": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.889819Z",
-     "iopub.status.idle": "2024-02-06T00:26:53.892036Z",
-     "shell.execute_reply": "2024-02-06T00:26:53.891675Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.209742Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.209435Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.211618Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.211225Z"
     }
    },
    "outputs": [],
@@ -800,10 +800,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.893757Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.893456Z",
-     "iopub.status.idle": "2024-02-06T00:26:53.895619Z",
-     "shell.execute_reply": "2024-02-06T00:26:53.895260Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.213299Z",
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+     "iopub.status.idle": "2024-02-14T15:59:18.215285Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.214920Z"
     }
    },
    "outputs": [],
@@ -816,10 +816,10 @@
    "execution_count": 31,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.897075Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.898885Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.216837Z",
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+     "iopub.status.idle": "2024-02-14T15:59:18.218784Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.218417Z"
     }
    },
    "outputs": [],
@@ -832,10 +832,10 @@
    "execution_count": 32,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.900817Z",
-     "iopub.status.idle": "2024-02-06T00:26:53.903543Z",
-     "shell.execute_reply": "2024-02-06T00:26:53.903151Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.220534Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.220238Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.222897Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.222434Z"
     }
    },
    "outputs": [
@@ -845,7 +845,7 @@
      "text": [
       "()\n",
       "{'y': 4, 'x': 5}\n",
-      "time needed: 1.1920928955078125e-06\n"
+      "time needed: 9.5367431640625e-07\n"
      ]
     }
    ],
@@ -858,10 +858,10 @@
    "execution_count": 33,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:53.904950Z",
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-     "shell.execute_reply": "2024-02-06T00:26:53.906585Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.224647Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.224350Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.226079Z"
     }
    },
    "outputs": [],
@@ -883,10 +883,10 @@
    "execution_count": 34,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.908528Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.908376Z",
-     "iopub.status.idle": "2024-02-06T00:26:53.910620Z",
-     "shell.execute_reply": "2024-02-06T00:26:53.910230Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.228410Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.228118Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.230554Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.230094Z"
     }
    },
    "outputs": [],
@@ -926,10 +926,10 @@
    "execution_count": 35,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:53.912448Z",
-     "iopub.status.busy": "2024-02-06T00:26:53.912090Z",
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-     "shell.execute_reply": "2024-02-06T00:26:54.029436Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.232409Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.232129Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.354853Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.354400Z"
     },
     "tags": [
      "raises-exception"
@@ -964,10 +964,10 @@
    "execution_count": 36,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:26:54.040039Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.356816Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.365289Z"
     },
     "tags": [
      "raises-exception"
@@ -1010,10 +1010,10 @@
    "execution_count": 37,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.042266Z",
-     "iopub.status.busy": "2024-02-06T00:26:54.041911Z",
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-     "shell.execute_reply": "2024-02-06T00:26:54.043784Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.367527Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.367239Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.369096Z"
     }
    },
    "outputs": [],
@@ -1027,10 +1027,10 @@
    "execution_count": 38,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.046147Z",
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-     "shell.execute_reply": "2024-02-06T00:26:54.054068Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.371278Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.371007Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.379175Z"
     },
     "tags": [
      "raises-exception"
@@ -1069,10 +1069,10 @@
    "execution_count": 39,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.056337Z",
-     "iopub.status.busy": "2024-02-06T00:26:54.055990Z",
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-     "shell.execute_reply": "2024-02-06T00:26:54.057858Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.381272Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.381131Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.383314Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.382952Z"
     }
    },
    "outputs": [],
@@ -1103,10 +1103,10 @@
    "execution_count": 40,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.059997Z",
-     "iopub.status.busy": "2024-02-06T00:26:54.059702Z",
-     "iopub.status.idle": "2024-02-06T00:26:54.062566Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.062090Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.385142Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.384850Z",
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+     "shell.execute_reply": "2024-02-14T15:59:18.386961Z"
     }
    },
    "outputs": [
@@ -1152,10 +1152,10 @@
    "execution_count": 41,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.064411Z",
-     "iopub.status.busy": "2024-02-06T00:26:54.064050Z",
-     "iopub.status.idle": "2024-02-06T00:26:54.066419Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.065966Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.389085Z",
+     "iopub.status.busy": "2024-02-14T15:59:18.388935Z",
+     "iopub.status.idle": "2024-02-14T15:59:18.391137Z",
+     "shell.execute_reply": "2024-02-14T15:59:18.390766Z"
     }
    },
    "outputs": [],
@@ -1172,10 +1172,10 @@
    "execution_count": 42,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.068258Z",
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-     "shell.execute_reply": "2024-02-06T00:26:54.078353Z"
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+     "shell.execute_reply": "2024-02-14T15:59:18.403213Z"
     },
     "tags": [
      "raises-exception"
@@ -1227,10 +1227,10 @@
    "execution_count": 43,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.080635Z",
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-     "iopub.status.idle": "2024-02-06T00:26:54.083359Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.082905Z"
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -1275,10 +1275,10 @@
    "execution_count": 44,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.085196Z",
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-     "iopub.status.idle": "2024-02-06T00:26:54.095443Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.094968Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.410169Z",
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -1335,10 +1335,10 @@
    "execution_count": 45,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:54.097264Z",
-     "iopub.status.busy": "2024-02-06T00:26:54.096960Z",
-     "iopub.status.idle": "2024-02-06T00:26:54.106070Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.105630Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.422797Z",
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      "name": "#%%\n"
@@ -1388,10 +1388,10 @@
    "execution_count": 46,
    "metadata": {
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-     "iopub.status.idle": "2024-02-06T00:26:54.110424Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.110026Z"
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     },
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      "name": "#%%\n"
@@ -1419,10 +1419,10 @@
    "execution_count": 47,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:26:54.114704Z"
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -1471,10 +1471,10 @@
    "execution_count": 48,
    "metadata": {
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-     "iopub.status.idle": "2024-02-06T00:26:54.119063Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.118618Z"
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -1493,10 +1493,10 @@
    "execution_count": 49,
    "metadata": {
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-     "iopub.status.idle": "2024-02-06T00:26:54.133808Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.133360Z"
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     },
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      "name": "#%%\n"
@@ -1528,10 +1528,10 @@
    "execution_count": 50,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-06T00:26:54.135260Z",
-     "iopub.status.idle": "2024-02-06T00:26:54.138759Z",
-     "shell.execute_reply": "2024-02-06T00:26:54.138286Z"
+     "iopub.execute_input": "2024-02-14T15:59:18.461600Z",
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     },
     "pycharm": {
      "name": "#%%\n"
diff --git a/advanced-python/12AdvancedClasses.html b/advanced-python/12AdvancedClasses.html
index 4513b3cd..ad3473cf 100644
--- a/advanced-python/12AdvancedClasses.html
+++ b/advanced-python/12AdvancedClasses.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/advanced-python/12AdvancedClasses.ipynb b/advanced-python/12AdvancedClasses.ipynb
index e542a3dc..59f6e09a 100644
--- a/advanced-python/12AdvancedClasses.ipynb
+++ b/advanced-python/12AdvancedClasses.ipynb
@@ -22,10 +22,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.192852Z",
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-     "shell.execute_reply": "2024-02-06T00:26:56.197731Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.303698Z",
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+     "iopub.status.idle": "2024-02-14T15:59:20.309234Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.308770Z"
     }
    },
    "outputs": [],
@@ -63,10 +63,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.200105Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.199742Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.202057Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.201687Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.311326Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.311015Z",
+     "iopub.status.idle": "2024-02-14T15:59:20.313470Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.312976Z"
     }
    },
    "outputs": [],
@@ -80,10 +80,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.203732Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.203574Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.208503Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.208069Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.315342Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.315035Z",
+     "iopub.status.idle": "2024-02-14T15:59:20.320026Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.319591Z"
     }
    },
    "outputs": [
@@ -134,10 +134,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.210185Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.210027Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.213202Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.212813Z"
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+     "shell.execute_reply": "2024-02-14T15:59:20.324204Z"
     }
    },
    "outputs": [],
@@ -182,10 +182,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.214987Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.214838Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.217277Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.216908Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.326245Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.326105Z",
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+     "shell.execute_reply": "2024-02-14T15:59:20.328166Z"
     }
    },
    "outputs": [],
@@ -204,10 +204,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.219149Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.218793Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.221116Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.220734Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.330342Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.330035Z",
+     "iopub.status.idle": "2024-02-14T15:59:20.332349Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.331938Z"
     }
    },
    "outputs": [],
@@ -221,10 +221,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.222668Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.222528Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.225115Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.224729Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.333901Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.333762Z",
+     "iopub.status.idle": "2024-02-14T15:59:20.336336Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.335938Z"
     }
    },
    "outputs": [
@@ -245,10 +245,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.226683Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.226541Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.229091Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.228661Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.338099Z",
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+     "shell.execute_reply": "2024-02-14T15:59:20.340007Z"
     }
    },
    "outputs": [
@@ -288,10 +288,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.230725Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.230586Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.233542Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.233176Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.342108Z",
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     }
    },
    "outputs": [],
@@ -315,10 +315,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.235371Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.235079Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.237363Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.236977Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.346606Z",
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+     "iopub.status.idle": "2024-02-14T15:59:20.348575Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.348206Z"
     }
    },
    "outputs": [],
@@ -331,10 +331,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.239037Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.238738Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.242023Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.241553Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.350099Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.349949Z",
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     }
    },
    "outputs": [
@@ -365,10 +365,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.243824Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.243467Z",
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-     "shell.execute_reply": "2024-02-06T00:26:56.245633Z"
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     }
    },
    "outputs": [
@@ -404,10 +404,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.247935Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.247635Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.250050Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.249684Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.358936Z",
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     }
    },
    "outputs": [],
@@ -425,10 +425,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.251614Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.251476Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.253601Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.253237Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.363019Z",
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+     "shell.execute_reply": "2024-02-14T15:59:20.364660Z"
     }
    },
    "outputs": [],
@@ -442,10 +442,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:26:56.255404Z",
-     "iopub.status.busy": "2024-02-06T00:26:56.255117Z",
-     "iopub.status.idle": "2024-02-06T00:26:56.258085Z",
-     "shell.execute_reply": "2024-02-06T00:26:56.257723Z"
+     "iopub.execute_input": "2024-02-14T15:59:20.366966Z",
+     "iopub.status.busy": "2024-02-14T15:59:20.366598Z",
+     "iopub.status.idle": "2024-02-14T15:59:20.369808Z",
+     "shell.execute_reply": "2024-02-14T15:59:20.369318Z"
     }
    },
    "outputs": [
@@ -469,10 +469,10 @@
    "execution_count": 16,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:26:56.259668Z",
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@@ -534,10 +534,10 @@
    "execution_count": 17,
    "metadata": {
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@@ -568,10 +568,10 @@
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@@ -600,10 +600,10 @@
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     }
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    "outputs": [
@@ -646,10 +646,10 @@
    "execution_count": 20,
    "metadata": {
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    "outputs": [],
@@ -676,10 +676,10 @@
    "execution_count": 21,
    "metadata": {
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@@ -692,10 +692,10 @@
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@@ -719,10 +719,10 @@
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-     "shell.execute_reply": "2024-02-06T00:26:56.293310Z"
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@@ -746,10 +746,10 @@
    "execution_count": 24,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:56.297181Z"
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     }
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    "outputs": [
@@ -777,10 +777,10 @@
    "execution_count": 25,
    "metadata": {
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     }
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    "outputs": [
@@ -801,10 +801,10 @@
    "execution_count": 26,
    "metadata": {
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    "outputs": [],
@@ -831,10 +831,10 @@
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    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:26:56.309490Z"
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     }
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    "outputs": [
diff --git a/advanced-python/20DataAndPlotting.html b/advanced-python/20DataAndPlotting.html
index 46ac32ee..cce215cb 100644
--- a/advanced-python/20DataAndPlotting.html
+++ b/advanced-python/20DataAndPlotting.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -1106,7 +1111,7 @@ <h3>Using rectangular cuts<a class="headerlink" href="#Using-rectangular-cuts" t
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7f4691a9d5d0&gt;
+&lt;matplotlib.legend.Legend at 0x7f43b2a6eb10&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1252,7 +1257,7 @@ <h2>Comparing distributions<a class="headerlink" href="#Comparing-distributions"
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7f469228f050&gt;
+&lt;matplotlib.legend.Legend at 0x7f43b2a80a90&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1283,7 +1288,7 @@ <h2>Comparing distributions<a class="headerlink" href="#Comparing-distributions"
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7f46923355d0&gt;
+&lt;matplotlib.legend.Legend at 0x7f43b327ab10&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1335,7 +1340,7 @@ <h2>Comparing distributions<a class="headerlink" href="#Comparing-distributions"
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_3589/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
+/tmp/ipykernel_3569/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
   plt.figure()  # creates a new figure
 </pre></div></div>
 </div>
diff --git a/advanced-python/20DataAndPlotting.ipynb b/advanced-python/20DataAndPlotting.ipynb
index 86cf45f0..8aaf3da0 100644
--- a/advanced-python/20DataAndPlotting.ipynb
+++ b/advanced-python/20DataAndPlotting.ipynb
@@ -34,10 +34,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
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-     "iopub.status.idle": "2024-02-06T00:26:59.429739Z",
-     "shell.execute_reply": "2024-02-06T00:26:59.429241Z"
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+     "shell.execute_reply": "2024-02-14T15:59:22.783327Z"
     }
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    "outputs": [],
@@ -119,10 +119,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:27:02.375554Z"
+     "iopub.execute_input": "2024-02-14T15:59:22.786260Z",
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+     "shell.execute_reply": "2024-02-14T15:59:24.791875Z"
     }
    },
    "outputs": [
@@ -156,10 +156,10 @@
    "execution_count": 3,
    "metadata": {
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-     "iopub.status.busy": "2024-02-06T00:27:02.377688Z",
-     "iopub.status.idle": "2024-02-06T00:27:07.886946Z",
-     "shell.execute_reply": "2024-02-06T00:27:07.886511Z"
+     "iopub.execute_input": "2024-02-14T15:59:24.794347Z",
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+     "shell.execute_reply": "2024-02-14T15:59:28.141096Z"
     }
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    "outputs": [
@@ -186,10 +186,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:27:41.446209Z"
+     "iopub.execute_input": "2024-02-14T15:59:28.143330Z",
+     "iopub.status.busy": "2024-02-14T15:59:28.143164Z",
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+     "shell.execute_reply": "2024-02-14T15:59:48.542950Z"
     }
    },
    "outputs": [
@@ -414,10 +414,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:27:41.448872Z",
-     "iopub.status.busy": "2024-02-06T00:27:41.448489Z",
-     "iopub.status.idle": "2024-02-06T00:27:41.452020Z",
-     "shell.execute_reply": "2024-02-06T00:27:41.451563Z"
+     "iopub.execute_input": "2024-02-14T15:59:48.545490Z",
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+     "shell.execute_reply": "2024-02-14T15:59:48.548373Z"
     }
    },
    "outputs": [
@@ -454,10 +454,10 @@
    "execution_count": 6,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:27:41.563152Z"
+     "iopub.execute_input": "2024-02-14T15:59:48.550668Z",
+     "iopub.status.busy": "2024-02-14T15:59:48.550352Z",
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     }
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    "outputs": [
@@ -512,10 +512,10 @@
    "execution_count": 7,
    "metadata": {
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-     "iopub.status.busy": "2024-02-06T00:27:41.565133Z",
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-     "shell.execute_reply": "2024-02-06T00:27:41.567958Z"
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -533,10 +533,10 @@
    "execution_count": 8,
    "metadata": {
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-     "iopub.status.busy": "2024-02-06T00:27:41.570026Z",
-     "iopub.status.idle": "2024-02-06T00:27:41.855766Z",
-     "shell.execute_reply": "2024-02-06T00:27:41.855260Z"
+     "iopub.execute_input": "2024-02-14T15:59:48.669910Z",
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -575,10 +575,10 @@
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    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:27:42.129656Z"
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -617,10 +617,10 @@
    "execution_count": 10,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:27:42.883380Z"
+     "iopub.execute_input": "2024-02-14T15:59:49.238228Z",
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     },
     "pycharm": {
      "name": "#%%\n"
@@ -666,10 +666,10 @@
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    "metadata": {
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@@ -708,10 +708,10 @@
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@@ -749,10 +749,10 @@
    "execution_count": 13,
    "metadata": {
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@@ -853,10 +853,10 @@
    "execution_count": 14,
    "metadata": {
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@@ -882,10 +882,10 @@
    "execution_count": 15,
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     }
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@@ -922,17 +922,17 @@
    "execution_count": 16,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:27:44.308030Z"
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     }
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    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f4691a9d5d0>"
+       "<matplotlib.legend.Legend at 0x7f43b2a6eb10>"
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@@ -979,10 +979,10 @@
    "execution_count": 17,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:27:44.313797Z"
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     }
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@@ -1011,10 +1011,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T00:27:51.656484Z"
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     }
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    "outputs": [
@@ -1077,10 +1077,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:27:51.659007Z",
-     "iopub.status.busy": "2024-02-06T00:27:51.658669Z",
-     "iopub.status.idle": "2024-02-06T00:35:40.179063Z",
-     "shell.execute_reply": "2024-02-06T00:35:40.178602Z"
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+     "iopub.status.idle": "2024-02-14T16:04:40.975111Z",
+     "shell.execute_reply": "2024-02-14T16:04:40.974611Z"
     }
    },
    "outputs": [],
@@ -1111,10 +1111,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:40.181226Z",
-     "iopub.status.busy": "2024-02-06T00:35:40.180972Z",
-     "iopub.status.idle": "2024-02-06T00:35:40.499742Z",
-     "shell.execute_reply": "2024-02-06T00:35:40.499250Z"
+     "iopub.execute_input": "2024-02-14T16:04:40.977182Z",
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+     "iopub.status.idle": "2024-02-14T16:04:41.318493Z",
+     "shell.execute_reply": "2024-02-14T16:04:41.318016Z"
     }
    },
    "outputs": [
@@ -1155,17 +1155,17 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:40.501567Z",
-     "iopub.status.busy": "2024-02-06T00:35:40.501416Z",
-     "iopub.status.idle": "2024-02-06T00:35:40.795975Z",
-     "shell.execute_reply": "2024-02-06T00:35:40.795519Z"
+     "iopub.execute_input": "2024-02-14T16:04:41.320492Z",
+     "iopub.status.busy": "2024-02-14T16:04:41.320291Z",
+     "iopub.status.idle": "2024-02-14T16:04:41.643935Z",
+     "shell.execute_reply": "2024-02-14T16:04:41.643358Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f469228f050>"
+       "<matplotlib.legend.Legend at 0x7f43b2a80a90>"
       ]
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      "execution_count": 21,
@@ -1201,17 +1201,17 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:40.797926Z",
-     "iopub.status.busy": "2024-02-06T00:35:40.797600Z",
-     "iopub.status.idle": "2024-02-06T00:35:41.114070Z",
-     "shell.execute_reply": "2024-02-06T00:35:41.113546Z"
+     "iopub.execute_input": "2024-02-14T16:04:41.646073Z",
+     "iopub.status.busy": "2024-02-14T16:04:41.645861Z",
+     "iopub.status.idle": "2024-02-14T16:04:41.996109Z",
+     "shell.execute_reply": "2024-02-14T16:04:41.995562Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f46923355d0>"
+       "<matplotlib.legend.Legend at 0x7f43b327ab10>"
       ]
      },
      "execution_count": 22,
@@ -1252,10 +1252,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:41.116086Z",
-     "iopub.status.busy": "2024-02-06T00:35:41.115759Z",
-     "iopub.status.idle": "2024-02-06T00:35:41.119058Z",
-     "shell.execute_reply": "2024-02-06T00:35:41.118686Z"
+     "iopub.execute_input": "2024-02-14T16:04:41.998137Z",
+     "iopub.status.busy": "2024-02-14T16:04:41.997961Z",
+     "iopub.status.idle": "2024-02-14T16:04:42.001622Z",
+     "shell.execute_reply": "2024-02-14T16:04:42.001197Z"
     }
    },
    "outputs": [],
@@ -1291,10 +1291,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:41.120938Z",
-     "iopub.status.busy": "2024-02-06T00:35:41.120626Z",
-     "iopub.status.idle": "2024-02-06T00:35:51.020621Z",
-     "shell.execute_reply": "2024-02-06T00:35:51.020149Z"
+     "iopub.execute_input": "2024-02-14T16:04:42.003433Z",
+     "iopub.status.busy": "2024-02-14T16:04:42.003266Z",
+     "iopub.status.idle": "2024-02-14T16:04:52.800365Z",
+     "shell.execute_reply": "2024-02-14T16:04:52.799843Z"
     }
    },
    "outputs": [
@@ -1302,7 +1302,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_3589/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n",
+      "/tmp/ipykernel_3569/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n",
       "  plt.figure()  # creates a new figure\n"
      ]
     },
@@ -1661,10 +1661,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:51.022851Z",
-     "iopub.status.busy": "2024-02-06T00:35:51.022525Z",
-     "iopub.status.idle": "2024-02-06T00:35:51.698450Z",
-     "shell.execute_reply": "2024-02-06T00:35:51.697917Z"
+     "iopub.execute_input": "2024-02-14T16:04:52.802644Z",
+     "iopub.status.busy": "2024-02-14T16:04:52.802288Z",
+     "iopub.status.idle": "2024-02-14T16:04:53.477921Z",
+     "shell.execute_reply": "2024-02-14T16:04:53.477438Z"
     },
     "pycharm": {
      "name": "#%%\n"
diff --git a/advanced-python/30Classification.html b/advanced-python/30Classification.html
index b1c92949..f15ec7f8 100644
--- a/advanced-python/30Classification.html
+++ b/advanced-python/30Classification.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -525,7 +530,7 @@ <h2>Using a classifier<a class="headerlink" href="#Using-a-classifier" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7fd57e00c650&gt;
+&lt;matplotlib.legend.Legend at 0x7f2cbc267850&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1187,7 +1192,7 @@ <h3>TODO Add a diagram of a decision tree for the above plot<a class="headerlink
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7fd55bb1f490&gt;
+&lt;matplotlib.legend.Legend at 0x7f2c4df9e2d0&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1343,7 +1348,7 @@ <h4>Evaluating classifier performance<a class="headerlink" href="#Evaluating-cla
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4090/4020814425.py:3: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4028/4020814425.py:3: RuntimeWarning: invalid value encountered in divide
   metric = S/np.sqrt(S+B)
 </pre></div></div>
 </div>
@@ -1431,7 +1436,7 @@ <h4>Evaluating classifier performance<a class="headerlink" href="#Evaluating-cla
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7fd55ba7eb90&gt;
+&lt;matplotlib.legend.Legend at 0x7f2c4e4cb710&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1576,7 +1581,7 @@ <h4>Collecting it all together<a class="headerlink" href="#Collecting-it-all-tog
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4090/4278176416.py:9: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4028/4278176416.py:9: RuntimeWarning: invalid value encountered in divide
   metric = S/np.sqrt(S+B)
 </pre></div></div>
 </div>
diff --git a/advanced-python/30Classification.ipynb b/advanced-python/30Classification.ipynb
index aadcbdb3..ab7fe0ca 100644
--- a/advanced-python/30Classification.ipynb
+++ b/advanced-python/30Classification.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:54.267705Z",
-     "iopub.status.busy": "2024-02-06T00:35:54.267273Z",
-     "iopub.status.idle": "2024-02-06T00:35:54.970039Z",
-     "shell.execute_reply": "2024-02-06T00:35:54.969471Z"
+     "iopub.execute_input": "2024-02-14T16:04:56.240562Z",
+     "iopub.status.busy": "2024-02-14T16:04:56.240399Z",
+     "iopub.status.idle": "2024-02-14T16:04:56.953890Z",
+     "shell.execute_reply": "2024-02-14T16:04:56.953292Z"
     }
    },
    "outputs": [],
@@ -39,10 +39,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:54.972232Z",
-     "iopub.status.busy": "2024-02-06T00:35:54.972016Z",
-     "iopub.status.idle": "2024-02-06T00:35:55.741187Z",
-     "shell.execute_reply": "2024-02-06T00:35:55.740693Z"
+     "iopub.execute_input": "2024-02-14T16:04:56.956202Z",
+     "iopub.status.busy": "2024-02-14T16:04:56.955968Z",
+     "iopub.status.idle": "2024-02-14T16:04:57.753837Z",
+     "shell.execute_reply": "2024-02-14T16:04:57.753251Z"
     }
    },
    "outputs": [],
@@ -77,17 +77,17 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:55.743520Z",
-     "iopub.status.busy": "2024-02-06T00:35:55.743230Z",
-     "iopub.status.idle": "2024-02-06T00:35:56.864202Z",
-     "shell.execute_reply": "2024-02-06T00:35:56.863697Z"
+     "iopub.execute_input": "2024-02-14T16:04:57.756227Z",
+     "iopub.status.busy": "2024-02-14T16:04:57.755913Z",
+     "iopub.status.idle": "2024-02-14T16:04:58.895608Z",
+     "shell.execute_reply": "2024-02-14T16:04:58.895088Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fd57e00c650>"
+       "<matplotlib.legend.Legend at 0x7f2cbc267850>"
       ]
      },
      "execution_count": 3,
@@ -139,10 +139,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:56.866115Z",
-     "iopub.status.busy": "2024-02-06T00:35:56.865931Z",
-     "iopub.status.idle": "2024-02-06T00:35:56.869488Z",
-     "shell.execute_reply": "2024-02-06T00:35:56.869097Z"
+     "iopub.execute_input": "2024-02-14T16:04:58.897937Z",
+     "iopub.status.busy": "2024-02-14T16:04:58.897419Z",
+     "iopub.status.idle": "2024-02-14T16:04:58.901079Z",
+     "shell.execute_reply": "2024-02-14T16:04:58.900678Z"
     }
    },
    "outputs": [
@@ -169,10 +169,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:56.871208Z",
-     "iopub.status.busy": "2024-02-06T00:35:56.871041Z",
-     "iopub.status.idle": "2024-02-06T00:35:56.873536Z",
-     "shell.execute_reply": "2024-02-06T00:35:56.873125Z"
+     "iopub.execute_input": "2024-02-14T16:04:58.902888Z",
+     "iopub.status.busy": "2024-02-14T16:04:58.902725Z",
+     "iopub.status.idle": "2024-02-14T16:04:58.905064Z",
+     "shell.execute_reply": "2024-02-14T16:04:58.904673Z"
     }
    },
    "outputs": [],
@@ -196,10 +196,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:56.875183Z",
-     "iopub.status.busy": "2024-02-06T00:35:56.875022Z",
-     "iopub.status.idle": "2024-02-06T00:35:56.894569Z",
-     "shell.execute_reply": "2024-02-06T00:35:56.894187Z"
+     "iopub.execute_input": "2024-02-14T16:04:58.906936Z",
+     "iopub.status.busy": "2024-02-14T16:04:58.906617Z",
+     "iopub.status.idle": "2024-02-14T16:04:58.931299Z",
+     "shell.execute_reply": "2024-02-14T16:04:58.930860Z"
     }
    },
    "outputs": [],
@@ -214,10 +214,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:56.896182Z",
-     "iopub.status.busy": "2024-02-06T00:35:56.896022Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.305746Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.305211Z"
+     "iopub.execute_input": "2024-02-14T16:04:58.933528Z",
+     "iopub.status.busy": "2024-02-14T16:04:58.933193Z",
+     "iopub.status.idle": "2024-02-14T16:04:59.347816Z",
+     "shell.execute_reply": "2024-02-14T16:04:59.347274Z"
     }
    },
    "outputs": [
@@ -241,10 +241,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.307671Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.307496Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.561957Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.561462Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.349706Z",
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+     "iopub.status.idle": "2024-02-14T16:04:59.602984Z",
+     "shell.execute_reply": "2024-02-14T16:04:59.602470Z"
     }
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    "outputs": [
@@ -713,10 +713,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.564511Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.564269Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.571802Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.571387Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.605387Z",
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+     "shell.execute_reply": "2024-02-14T16:04:59.613280Z"
     }
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    "outputs": [
@@ -753,10 +753,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.573870Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.573541Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.607905Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.607475Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.615905Z",
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+     "iopub.status.idle": "2024-02-14T16:04:59.650675Z",
+     "shell.execute_reply": "2024-02-14T16:04:59.650214Z"
     }
    },
    "outputs": [
@@ -790,10 +790,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.610005Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.609682Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.731578Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.731084Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.652859Z",
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+     "iopub.status.idle": "2024-02-14T16:04:59.774700Z",
+     "shell.execute_reply": "2024-02-14T16:04:59.774194Z"
     }
    },
    "outputs": [],
@@ -816,10 +816,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.734066Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.733732Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.854524Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.854001Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.777287Z",
+     "iopub.status.busy": "2024-02-14T16:04:59.776938Z",
+     "iopub.status.idle": "2024-02-14T16:04:59.898444Z",
+     "shell.execute_reply": "2024-02-14T16:04:59.897911Z"
     }
    },
    "outputs": [],
@@ -842,10 +842,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.857024Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.856699Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.861327Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.860979Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.901045Z",
+     "iopub.status.busy": "2024-02-14T16:04:59.900688Z",
+     "iopub.status.idle": "2024-02-14T16:04:59.905846Z",
+     "shell.execute_reply": "2024-02-14T16:04:59.905303Z"
     }
    },
    "outputs": [],
@@ -875,10 +875,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.862916Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.862760Z",
-     "iopub.status.idle": "2024-02-06T00:35:57.985275Z",
-     "shell.execute_reply": "2024-02-06T00:35:57.984778Z"
+     "iopub.execute_input": "2024-02-14T16:04:59.908127Z",
+     "iopub.status.busy": "2024-02-14T16:04:59.907572Z",
+     "iopub.status.idle": "2024-02-14T16:05:00.033966Z",
+     "shell.execute_reply": "2024-02-14T16:05:00.033497Z"
     }
    },
    "outputs": [
@@ -909,17 +909,17 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:57.987122Z",
-     "iopub.status.busy": "2024-02-06T00:35:57.986804Z",
-     "iopub.status.idle": "2024-02-06T00:35:58.242018Z",
-     "shell.execute_reply": "2024-02-06T00:35:58.241493Z"
+     "iopub.execute_input": "2024-02-14T16:05:00.036067Z",
+     "iopub.status.busy": "2024-02-14T16:05:00.035726Z",
+     "iopub.status.idle": "2024-02-14T16:05:00.292783Z",
+     "shell.execute_reply": "2024-02-14T16:05:00.292244Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fd55bb1f490>"
+       "<matplotlib.legend.Legend at 0x7f2c4df9e2d0>"
       ]
      },
      "execution_count": 15,
@@ -964,10 +964,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:35:58.244159Z",
-     "iopub.status.busy": "2024-02-06T00:35:58.243831Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.064925Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.064464Z"
+     "iopub.execute_input": "2024-02-14T16:05:00.294987Z",
+     "iopub.status.busy": "2024-02-14T16:05:00.294568Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.423638Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.423104Z"
     }
    },
    "outputs": [
@@ -1012,10 +1012,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.066886Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.066581Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.188915Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.188533Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.425465Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.425297Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.549395Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.548932Z"
     }
    },
    "outputs": [
@@ -1050,10 +1050,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.190870Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.190458Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.276720Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.276177Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.551554Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.551228Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.637962Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.637358Z"
     }
    },
    "outputs": [],
@@ -1079,10 +1079,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.278994Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.278665Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.391088Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.390645Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.640291Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.639974Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.754585Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.754080Z"
     }
    },
    "outputs": [
@@ -1121,10 +1121,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.392961Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.392662Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.395776Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.395285Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.756720Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.756277Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.759608Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.759123Z"
     }
    },
    "outputs": [],
@@ -1137,10 +1137,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.397645Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.397285Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.501868Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.501383Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.761623Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.761255Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.868934Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.868395Z"
     }
    },
    "outputs": [
@@ -1181,10 +1181,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.503645Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.503483Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.505682Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.505295Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.870962Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.870630Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.873109Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.872696Z"
     }
    },
    "outputs": [],
@@ -1205,10 +1205,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.507488Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.507173Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.510365Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.509878Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.874919Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.874598Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.877797Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.877371Z"
     }
    },
    "outputs": [
@@ -1216,7 +1216,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4090/4020814425.py:3: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4028/4020814425.py:3: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S/np.sqrt(S+B)\n"
      ]
     }
@@ -1239,10 +1239,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.512180Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.511887Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.621767Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.621287Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.879575Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.879262Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.993456Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.993001Z"
     }
    },
    "outputs": [
@@ -1286,10 +1286,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.623732Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.623563Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.626685Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.626177Z"
+     "iopub.execute_input": "2024-02-14T16:05:05.995484Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.995141Z",
+     "iopub.status.idle": "2024-02-14T16:05:05.998256Z",
+     "shell.execute_reply": "2024-02-14T16:05:05.997761Z"
     }
    },
    "outputs": [
@@ -1313,10 +1313,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.628306Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.628165Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.787051Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.786610Z"
+     "iopub.execute_input": "2024-02-14T16:05:06.000173Z",
+     "iopub.status.busy": "2024-02-14T16:05:05.999789Z",
+     "iopub.status.idle": "2024-02-14T16:05:06.176064Z",
+     "shell.execute_reply": "2024-02-14T16:05:06.175595Z"
     }
    },
    "outputs": [
@@ -1339,7 +1339,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fd55ba7eb90>"
+       "<matplotlib.legend.Legend at 0x7f2c4e4cb710>"
       ]
      },
      "execution_count": 26,
@@ -1371,10 +1371,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.788799Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.788636Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.889528Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.889095Z"
+     "iopub.execute_input": "2024-02-14T16:05:06.178107Z",
+     "iopub.status.busy": "2024-02-14T16:05:06.177763Z",
+     "iopub.status.idle": "2024-02-14T16:05:06.282482Z",
+     "shell.execute_reply": "2024-02-14T16:05:06.281965Z"
     }
    },
    "outputs": [
@@ -1415,10 +1415,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.891260Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.891099Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.894906Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.894503Z"
+     "iopub.execute_input": "2024-02-14T16:05:06.284426Z",
+     "iopub.status.busy": "2024-02-14T16:05:06.284254Z",
+     "iopub.status.idle": "2024-02-14T16:05:06.288478Z",
+     "shell.execute_reply": "2024-02-14T16:05:06.287974Z"
     }
    },
    "outputs": [],
@@ -1447,10 +1447,10 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.896593Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.896435Z",
-     "iopub.status.idle": "2024-02-06T00:36:06.899999Z",
-     "shell.execute_reply": "2024-02-06T00:36:06.899599Z"
+     "iopub.execute_input": "2024-02-14T16:05:06.290379Z",
+     "iopub.status.busy": "2024-02-14T16:05:06.289978Z",
+     "iopub.status.idle": "2024-02-14T16:05:06.293653Z",
+     "shell.execute_reply": "2024-02-14T16:05:06.293148Z"
     }
    },
    "outputs": [],
@@ -1479,10 +1479,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:36:06.901741Z",
-     "iopub.status.busy": "2024-02-06T00:36:06.901435Z",
-     "iopub.status.idle": "2024-02-06T00:43:40.504373Z",
-     "shell.execute_reply": "2024-02-06T00:43:40.503937Z"
+     "iopub.execute_input": "2024-02-14T16:05:06.295499Z",
+     "iopub.status.busy": "2024-02-14T16:05:06.295172Z",
+     "iopub.status.idle": "2024-02-14T16:10:26.793255Z",
+     "shell.execute_reply": "2024-02-14T16:10:26.792745Z"
     }
    },
    "outputs": [
@@ -1497,7 +1497,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4090/4278176416.py:9: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4028/4278176416.py:9: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S/np.sqrt(S+B)\n"
      ]
     },
@@ -1579,10 +1579,10 @@
    "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:43:40.506198Z",
-     "iopub.status.busy": "2024-02-06T00:43:40.506039Z",
-     "iopub.status.idle": "2024-02-06T00:43:41.267275Z",
-     "shell.execute_reply": "2024-02-06T00:43:41.266801Z"
+     "iopub.execute_input": "2024-02-14T16:10:26.795070Z",
+     "iopub.status.busy": "2024-02-14T16:10:26.794895Z",
+     "iopub.status.idle": "2024-02-14T16:10:27.563463Z",
+     "shell.execute_reply": "2024-02-14T16:10:27.562938Z"
     }
    },
    "outputs": [
diff --git a/advanced-python/31ClassificationExtension.html b/advanced-python/31ClassificationExtension.html
index 00385e3f..1a6eb899 100644
--- a/advanced-python/31ClassificationExtension.html
+++ b/advanced-python/31ClassificationExtension.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -631,7 +636,7 @@ <h2>Alternative implimentations<a class="headerlink" href="#Alternative-implimen
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
 </pre></div></div>
 </div>
@@ -640,9 +645,9 @@ <h2>Alternative implimentations<a class="headerlink" href="#Alternative-implimen
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
 </pre></div></div>
 </div>
@@ -793,11 +798,11 @@ <h2>Feature engineering<a class="headerlink" href="#Feature-engineering" title="
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
 </pre></div></div>
 </div>
@@ -807,7 +812,7 @@ <h2>Feature engineering<a class="headerlink" href="#Feature-engineering" title="
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7f48eb9e7790&gt;
+&lt;matplotlib.legend.Legend at 0x7fddb4fea5d0&gt;
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -849,7 +854,7 @@ <h2>Feature engineering<a class="headerlink" href="#Feature-engineering" title="
 <section id="k-folding">
 <h2><span class="math notranslate nohighlight">\(k\)</span>-folding<a class="headerlink" href="#k-folding" title="Link to this heading"></a></h2>
 <p>This is a technique to avoid losing some parts of your data by splitting it into test and training set. It is crucial e.g. in the scenario where a part of your training data <em>needs predictions</em> such as when a sideband is used as the background.</p>
-<img alt="k-folding" src="https://miro.medium.com/max/601/1*PdwlCactbJf8F8C7sP-3gw.png" />
+<p><img alt="k-folding" src="https://miro.medium.com/max/601/1*PdwlCactbJf8F8C7sP-3gw.png" /></p>
 <p>The red tiles are used as a training set in order to predict the blue ones. This is done k times, resulting in k prediction for the k tiles we split into. We end up having predictions for our whole dataset!</p>
 <p>The validation is a holdout part of the data that we can use to estimate our actual performance. When we optimize our algorithm, we may overfit to the given dataset and overestimate our performance. By evaluating our “best” algorithm on a dataset that has not yet been seen at all, we get an unbiased estimate.</p>
 <p>Let’s go search for <code class="docutils literal notranslate"><span class="pre">scikit</span> <span class="pre">learn</span> <span class="pre">k-folding</span></code>.</p>
diff --git a/advanced-python/31ClassificationExtension.ipynb b/advanced-python/31ClassificationExtension.ipynb
index 36b13332..50915f23 100644
--- a/advanced-python/31ClassificationExtension.ipynb
+++ b/advanced-python/31ClassificationExtension.ipynb
@@ -27,10 +27,10 @@
    "execution_count": 1,
    "metadata": {
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-     "iopub.status.busy": "2024-02-06T00:43:43.289953Z",
-     "iopub.status.idle": "2024-02-06T00:43:44.314854Z",
-     "shell.execute_reply": "2024-02-06T00:43:44.314324Z"
+     "iopub.execute_input": "2024-02-14T16:10:29.607927Z",
+     "iopub.status.busy": "2024-02-14T16:10:29.607773Z",
+     "iopub.status.idle": "2024-02-14T16:10:30.591330Z",
+     "shell.execute_reply": "2024-02-14T16:10:30.590778Z"
     }
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    "outputs": [],
@@ -47,10 +47,10 @@
    "execution_count": 2,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:43:44.317282Z",
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-     "iopub.status.idle": "2024-02-06T00:43:44.925349Z",
-     "shell.execute_reply": "2024-02-06T00:43:44.924855Z"
+     "iopub.execute_input": "2024-02-14T16:10:30.593613Z",
+     "iopub.status.busy": "2024-02-14T16:10:30.593379Z",
+     "iopub.status.idle": "2024-02-14T16:10:31.199375Z",
+     "shell.execute_reply": "2024-02-14T16:10:31.198883Z"
     }
    },
    "outputs": [],
@@ -68,10 +68,10 @@
    "execution_count": 3,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:43:44.927704Z",
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-     "iopub.status.idle": "2024-02-06T00:43:44.933866Z",
-     "shell.execute_reply": "2024-02-06T00:43:44.933454Z"
+     "iopub.execute_input": "2024-02-14T16:10:31.201532Z",
+     "iopub.status.busy": "2024-02-14T16:10:31.201280Z",
+     "iopub.status.idle": "2024-02-14T16:10:31.207829Z",
+     "shell.execute_reply": "2024-02-14T16:10:31.207451Z"
     }
    },
    "outputs": [],
@@ -131,10 +131,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:43:44.935754Z",
-     "iopub.status.busy": "2024-02-06T00:43:44.935387Z",
-     "iopub.status.idle": "2024-02-06T00:44:03.308246Z",
-     "shell.execute_reply": "2024-02-06T00:44:03.307737Z"
+     "iopub.execute_input": "2024-02-14T16:10:31.209609Z",
+     "iopub.status.busy": "2024-02-14T16:10:31.209289Z",
+     "iopub.status.idle": "2024-02-14T16:10:49.130660Z",
+     "shell.execute_reply": "2024-02-14T16:10:49.130167Z"
     }
    },
    "outputs": [],
@@ -151,10 +151,10 @@
    "execution_count": 5,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:44:03.310464Z",
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-     "iopub.status.idle": "2024-02-06T00:44:10.764330Z",
-     "shell.execute_reply": "2024-02-06T00:44:10.763818Z"
+     "iopub.execute_input": "2024-02-14T16:10:49.132873Z",
+     "iopub.status.busy": "2024-02-14T16:10:49.132534Z",
+     "iopub.status.idle": "2024-02-14T16:10:56.375469Z",
+     "shell.execute_reply": "2024-02-14T16:10:56.374951Z"
     }
    },
    "outputs": [
@@ -180,10 +180,10 @@
    "execution_count": 6,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:44:10.766401Z",
-     "iopub.status.busy": "2024-02-06T00:44:10.766222Z",
-     "iopub.status.idle": "2024-02-06T00:44:11.135767Z",
-     "shell.execute_reply": "2024-02-06T00:44:11.135249Z"
+     "iopub.execute_input": "2024-02-14T16:10:56.377491Z",
+     "iopub.status.busy": "2024-02-14T16:10:56.377330Z",
+     "iopub.status.idle": "2024-02-14T16:10:56.754205Z",
+     "shell.execute_reply": "2024-02-14T16:10:56.753706Z"
     }
    },
    "outputs": [],
@@ -200,10 +200,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:11.138929Z",
-     "iopub.status.busy": "2024-02-06T00:44:11.138112Z",
-     "iopub.status.idle": "2024-02-06T00:44:12.724502Z",
-     "shell.execute_reply": "2024-02-06T00:44:12.723960Z"
+     "iopub.execute_input": "2024-02-14T16:10:56.757418Z",
+     "iopub.status.busy": "2024-02-14T16:10:56.756647Z",
+     "iopub.status.idle": "2024-02-14T16:10:58.299864Z",
+     "shell.execute_reply": "2024-02-14T16:10:58.299355Z"
     }
    },
    "outputs": [
@@ -211,7 +211,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S / np.sqrt(S + B)\n"
      ]
     },
@@ -219,9 +219,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S / np.sqrt(S + B)\n",
-      "/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S / np.sqrt(S + B)\n"
      ]
     },
@@ -325,10 +325,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:12.726588Z",
-     "iopub.status.busy": "2024-02-06T00:44:12.726396Z",
-     "iopub.status.idle": "2024-02-06T00:44:13.237959Z",
-     "shell.execute_reply": "2024-02-06T00:44:13.237483Z"
+     "iopub.execute_input": "2024-02-14T16:10:58.301896Z",
+     "iopub.status.busy": "2024-02-14T16:10:58.301566Z",
+     "iopub.status.idle": "2024-02-14T16:10:58.803727Z",
+     "shell.execute_reply": "2024-02-14T16:10:58.803211Z"
     }
    },
    "outputs": [
@@ -405,10 +405,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:13.240021Z",
-     "iopub.status.busy": "2024-02-06T00:44:13.239704Z",
-     "iopub.status.idle": "2024-02-06T00:44:16.186828Z",
-     "shell.execute_reply": "2024-02-06T00:44:16.186254Z"
+     "iopub.execute_input": "2024-02-14T16:10:58.805802Z",
+     "iopub.status.busy": "2024-02-14T16:10:58.805444Z",
+     "iopub.status.idle": "2024-02-14T16:11:01.712752Z",
+     "shell.execute_reply": "2024-02-14T16:11:01.712267Z"
     }
    },
    "outputs": [
@@ -416,18 +416,18 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S / np.sqrt(S + B)\n",
-      "/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S / np.sqrt(S + B)\n",
-      "/tmp/ipykernel_4510/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
+      "/tmp/ipykernel_4431/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n",
       "  metric = S / np.sqrt(S + B)\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f48eb9e7790>"
+       "<matplotlib.legend.Legend at 0x7fddb4fea5d0>"
       ]
      },
      "execution_count": 9,
diff --git a/advanced-python/32BoostingToUniformity.html b/advanced-python/32BoostingToUniformity.html
index 841a9a88..441fff1f 100644
--- a/advanced-python/32BoostingToUniformity.html
+++ b/advanced-python/32BoostingToUniformity.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/advanced-python/33ModelTuning.html b/advanced-python/33ModelTuning.html
index c66dcfb5..2d54e7e0 100644
--- a/advanced-python/33ModelTuning.html
+++ b/advanced-python/33ModelTuning.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -515,7 +520,7 @@ <h1>Model tuning setup<a class="headerlink" href="#Model-tuning-setup" title="Li
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4718/1411477585.py:8: DeprecationWarning:
+/tmp/ipykernel_4644/1411477585.py:8: DeprecationWarning:
 Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
 (to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
 but was not found to be installed on your system.
@@ -649,31 +654,31 @@ <h1>Model tuning setup<a class="headerlink" href="#Model-tuning-setup" title="Li
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4718/2007768199.py:11: SettingWithCopyWarning:
+/tmp/ipykernel_4644/2007768199.py:11: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   df.eval(&#39;Jpsi_eta = arctanh(Jpsi_PZ/Jpsi_P)&#39;, inplace=True)
-/tmp/ipykernel_4718/2007768199.py:12: SettingWithCopyWarning:
+/tmp/ipykernel_4644/2007768199.py:12: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   df.eval(&#39;mup_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)&#39;, inplace=True)
-/tmp/ipykernel_4718/2007768199.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_4644/2007768199.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   df.eval(&#39;mum_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)&#39;, inplace=True)
-/tmp/ipykernel_4718/2007768199.py:15: SettingWithCopyWarning:
+/tmp/ipykernel_4644/2007768199.py:15: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   bkg_df[&#39;catagory&#39;] = 0  # Use 0 for background
-/tmp/ipykernel_4718/2007768199.py:19: SettingWithCopyWarning:
+/tmp/ipykernel_4644/2007768199.py:19: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -707,7 +712,7 @@ <h1>Model tuning setup<a class="headerlink" href="#Model-tuning-setup" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-XGBoost --- 0.8556647300720215 seconds ---
+XGBoost --- 0.8518712520599365 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -715,7 +720,7 @@ <h1>Model tuning setup<a class="headerlink" href="#Model-tuning-setup" title="Li
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4718/3009250180.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_4644/3009250180.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -786,7 +791,7 @@ <h1>Cross-validation<a class="headerlink" href="#Cross-validation" title="Link t
 <div class="highlight"><pre>
 /usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/sklearn.py:889: UserWarning: `eval_metric` in `fit` method is deprecated for better compatibility with scikit-learn, use `eval_metric` in constructor or`set_params` instead.
   warnings.warn(
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [00:50:00] WARNING: /workspace/src/learner.cc:742:
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [16:14:30] WARNING: /workspace/src/learner.cc:742:
 Parameters: { &#34;n_threads&#34; } are not used.
 
   warnings.warn(smsg, UserWarning)
@@ -798,7 +803,7 @@ <h1>Cross-validation<a class="headerlink" href="#Cross-validation" title="Link t
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-XGBoost cross-validation --- 2.0221338272094727 seconds ---
+XGBoost cross-validation --- 1.9497551918029785 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -820,7 +825,7 @@ <h1>Cross-validation<a class="headerlink" href="#Cross-validation" title="Link t
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4718/3553768138.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_4644/3553768138.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -862,7 +867,7 @@ <h1>Cross-validation<a class="headerlink" href="#Cross-validation" title="Link t
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-bdt_cv :  S/sqrt(S+B) = 15.284216832108756  at x = 0.82674176
+bdt_cv :  S/sqrt(S+B) = 15.364206707574938  at x = 0.8245125
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -925,7 +930,7 @@ <h1><span class="math notranslate nohighlight">\(k\)</span>-folding &amp; early
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-XGBoost k-folding --- 2.713792562484741 seconds ---
+XGBoost k-folding --- 2.6696691513061523 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1019,7 +1024,7 @@ <h1><span class="math notranslate nohighlight">\(k\)</span>-folding &amp; early
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-XGBoost early-stop folding --- 16.265354871749878 seconds ---
+XGBoost early-stop folding --- 16.12229871749878 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1052,7 +1057,7 @@ <h1><span class="math notranslate nohighlight">\(k\)</span>-folding &amp; early
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-XGBoost early-stop limit --- 6.2194907665252686 seconds ---
+XGBoost early-stop limit --- 5.9259254932403564 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1065,7 +1070,7 @@ <h1><span class="math notranslate nohighlight">\(k\)</span>-folding &amp; early
 Train Accuracy : 0.878406430077885
 Test Accuracy : 0.8180580234817411
 
-modelfit(bdt_es) --- 23.111666679382324 seconds ---
+modelfit(bdt_es) --- 22.667714595794678 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1073,7 +1078,7 @@ <h1><span class="math notranslate nohighlight">\(k\)</span>-folding &amp; early
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4718/41647419.py:18: SettingWithCopyWarning:
+/tmp/ipykernel_4644/41647419.py:18: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -1108,7 +1113,7 @@ <h1><span class="math notranslate nohighlight">\(k\)</span>-folding &amp; early
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-bdt_cv :  S/sqrt(S+B) = 15.284216832108756  at x = 0.82674176
+bdt_cv :  S/sqrt(S+B) = 15.364206707574938  at x = 0.8245125
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1251,7 +1256,7 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-XGBoost grid-scan --- 18.899073839187622 seconds ---
+XGBoost grid-scan --- 18.946533203125 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1276,7 +1281,7 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 Suggestion: {&#39;max_depth&#39;: 7, &#39;min_child_weight&#39;: 3}
 Accuracy: 0.8091291887649159
 
-hpgridscan(bdt_st) --- 19.127185344696045 seconds ---
+hpgridscan(bdt_st) --- 19.182318449020386 seconds ---
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1284,7 +1289,7 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_4718/1018627576.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_4644/1018627576.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -1382,7 +1387,7 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-bdt_cv :  S/sqrt(S+B) = 15.284216832108756  at x = 0.82674176
+bdt_cv :  S/sqrt(S+B) = 15.364206707574938  at x = 0.8245125
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1407,7 +1412,7 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7f6c17de7910&gt;
+&lt;matplotlib.legend.Legend at 0x7f55fddba410&gt;
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1447,7 +1452,7 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7f6c17d51e10&gt;
+&lt;matplotlib.legend.Legend at 0x7f55fdd64990&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1476,8 +1481,8 @@ <h1>Hyperameter optimisation<a class="headerlink" href="#Hyperameter-optimisatio
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Notebook real time --- 401.37995314598083 seconds ---
-Notebook CPU time --- 182.2430899 seconds ---
+Notebook real time --- 265.9296314716339 seconds ---
+Notebook CPU time --- 180.03033820000002 seconds ---
 </pre></div></div>
 </div>
 </section>
diff --git a/advanced-python/33ModelTuning.ipynb b/advanced-python/33ModelTuning.ipynb
index 9a7c872a..14255a8d 100644
--- a/advanced-python/33ModelTuning.ipynb
+++ b/advanced-python/33ModelTuning.ipynb
@@ -12,10 +12,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:18.281903Z",
-     "iopub.status.busy": "2024-02-06T00:44:18.281743Z",
-     "iopub.status.idle": "2024-02-06T00:44:18.284424Z",
-     "shell.execute_reply": "2024-02-06T00:44:18.283975Z"
+     "iopub.execute_input": "2024-02-14T16:11:03.584682Z",
+     "iopub.status.busy": "2024-02-14T16:11:03.584523Z",
+     "iopub.status.idle": "2024-02-14T16:11:03.587241Z",
+     "shell.execute_reply": "2024-02-14T16:11:03.586873Z"
     }
    },
    "outputs": [],
@@ -32,10 +32,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:18.286396Z",
-     "iopub.status.busy": "2024-02-06T00:44:18.286046Z",
-     "iopub.status.idle": "2024-02-06T00:44:19.287931Z",
-     "shell.execute_reply": "2024-02-06T00:44:19.287368Z"
+     "iopub.execute_input": "2024-02-14T16:11:03.589023Z",
+     "iopub.status.busy": "2024-02-14T16:11:03.588660Z",
+     "iopub.status.idle": "2024-02-14T16:11:04.551630Z",
+     "shell.execute_reply": "2024-02-14T16:11:04.551093Z"
     }
    },
    "outputs": [
@@ -43,7 +43,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4718/1411477585.py:8: DeprecationWarning: \n",
+      "/tmp/ipykernel_4644/1411477585.py:8: DeprecationWarning: \n",
       "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
       "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
       "but was not found to be installed on your system.\n",
@@ -79,10 +79,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:19.290052Z",
-     "iopub.status.busy": "2024-02-06T00:44:19.289782Z",
-     "iopub.status.idle": "2024-02-06T00:44:19.292286Z",
-     "shell.execute_reply": "2024-02-06T00:44:19.291915Z"
+     "iopub.execute_input": "2024-02-14T16:11:04.553901Z",
+     "iopub.status.busy": "2024-02-14T16:11:04.553588Z",
+     "iopub.status.idle": "2024-02-14T16:11:04.556265Z",
+     "shell.execute_reply": "2024-02-14T16:11:04.555864Z"
     }
    },
    "outputs": [],
@@ -97,10 +97,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:19.294021Z",
-     "iopub.status.busy": "2024-02-06T00:44:19.293675Z",
-     "iopub.status.idle": "2024-02-06T00:44:19.296632Z",
-     "shell.execute_reply": "2024-02-06T00:44:19.296261Z"
+     "iopub.execute_input": "2024-02-14T16:11:04.558032Z",
+     "iopub.status.busy": "2024-02-14T16:11:04.557714Z",
+     "iopub.status.idle": "2024-02-14T16:11:04.560591Z",
+     "shell.execute_reply": "2024-02-14T16:11:04.560200Z"
     }
    },
    "outputs": [],
@@ -117,10 +117,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:19.298234Z",
-     "iopub.status.busy": "2024-02-06T00:44:19.298080Z",
-     "iopub.status.idle": "2024-02-06T00:44:19.301297Z",
-     "shell.execute_reply": "2024-02-06T00:44:19.300918Z"
+     "iopub.execute_input": "2024-02-14T16:11:04.562326Z",
+     "iopub.status.busy": "2024-02-14T16:11:04.562017Z",
+     "iopub.status.idle": "2024-02-14T16:11:04.564986Z",
+     "shell.execute_reply": "2024-02-14T16:11:04.564617Z"
     }
    },
    "outputs": [],
@@ -138,10 +138,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:19.303172Z",
-     "iopub.status.busy": "2024-02-06T00:44:19.302867Z",
-     "iopub.status.idle": "2024-02-06T00:44:19.306706Z",
-     "shell.execute_reply": "2024-02-06T00:44:19.306300Z"
+     "iopub.execute_input": "2024-02-14T16:11:04.566878Z",
+     "iopub.status.busy": "2024-02-14T16:11:04.566572Z",
+     "iopub.status.idle": "2024-02-14T16:11:04.570470Z",
+     "shell.execute_reply": "2024-02-14T16:11:04.570080Z"
     }
    },
    "outputs": [],
@@ -170,10 +170,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:19.308530Z",
-     "iopub.status.busy": "2024-02-06T00:44:19.308160Z",
-     "iopub.status.idle": "2024-02-06T00:44:19.312228Z",
-     "shell.execute_reply": "2024-02-06T00:44:19.311747Z"
+     "iopub.execute_input": "2024-02-14T16:11:04.572222Z",
+     "iopub.status.busy": "2024-02-14T16:11:04.571914Z",
+     "iopub.status.idle": "2024-02-14T16:11:04.575627Z",
+     "shell.execute_reply": "2024-02-14T16:11:04.575251Z"
     }
    },
    "outputs": [],
@@ -206,10 +206,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:44:19.314141Z",
-     "iopub.status.busy": "2024-02-06T00:44:19.313836Z",
-     "iopub.status.idle": "2024-02-06T00:49:58.529908Z",
-     "shell.execute_reply": "2024-02-06T00:49:58.529400Z"
+     "iopub.execute_input": "2024-02-14T16:11:04.577491Z",
+     "iopub.status.busy": "2024-02-14T16:11:04.577121Z",
+     "iopub.status.idle": "2024-02-14T16:14:28.802564Z",
+     "shell.execute_reply": "2024-02-14T16:14:28.802021Z"
     }
    },
    "outputs": [
@@ -217,31 +217,31 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4718/2007768199.py:11: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/2007768199.py:11: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
       "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
       "  df.eval('Jpsi_eta = arctanh(Jpsi_PZ/Jpsi_P)', inplace=True)\n",
-      "/tmp/ipykernel_4718/2007768199.py:12: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/2007768199.py:12: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
       "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
       "  df.eval('mup_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)', inplace=True)\n",
-      "/tmp/ipykernel_4718/2007768199.py:13: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/2007768199.py:13: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
       "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
       "  df.eval('mum_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)', inplace=True)\n",
-      "/tmp/ipykernel_4718/2007768199.py:15: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/2007768199.py:15: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
       "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
       "  bkg_df['catagory'] = 0  # Use 0 for background\n",
-      "/tmp/ipykernel_4718/2007768199.py:19: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/2007768199.py:19: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -290,10 +290,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:49:58.531764Z",
-     "iopub.status.busy": "2024-02-06T00:49:58.531603Z",
-     "iopub.status.idle": "2024-02-06T00:49:59.932855Z",
-     "shell.execute_reply": "2024-02-06T00:49:59.932349Z"
+     "iopub.execute_input": "2024-02-14T16:14:28.805026Z",
+     "iopub.status.busy": "2024-02-14T16:14:28.804723Z",
+     "iopub.status.idle": "2024-02-14T16:14:30.200886Z",
+     "shell.execute_reply": "2024-02-14T16:14:30.200424Z"
     }
    },
    "outputs": [
@@ -301,14 +301,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "XGBoost --- 0.8556647300720215 seconds ---\n"
+      "XGBoost --- 0.8518712520599365 seconds ---\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4718/3009250180.py:13: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/3009250180.py:13: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -347,10 +347,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:49:59.936369Z",
-     "iopub.status.busy": "2024-02-06T00:49:59.935407Z",
-     "iopub.status.idle": "2024-02-06T00:49:59.941005Z",
-     "shell.execute_reply": "2024-02-06T00:49:59.940627Z"
+     "iopub.execute_input": "2024-02-14T16:14:30.203930Z",
+     "iopub.status.busy": "2024-02-14T16:14:30.203115Z",
+     "iopub.status.idle": "2024-02-14T16:14:30.208644Z",
+     "shell.execute_reply": "2024-02-14T16:14:30.208294Z"
     }
    },
    "outputs": [],
@@ -393,10 +393,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:49:59.942954Z",
-     "iopub.status.busy": "2024-02-06T00:49:59.942645Z",
-     "iopub.status.idle": "2024-02-06T00:50:02.674027Z",
-     "shell.execute_reply": "2024-02-06T00:50:02.673507Z"
+     "iopub.execute_input": "2024-02-14T16:14:30.210616Z",
+     "iopub.status.busy": "2024-02-14T16:14:30.210449Z",
+     "iopub.status.idle": "2024-02-14T16:14:32.881421Z",
+     "shell.execute_reply": "2024-02-14T16:14:32.880955Z"
     }
    },
    "outputs": [
@@ -406,7 +406,7 @@
      "text": [
       "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/sklearn.py:889: UserWarning: `eval_metric` in `fit` method is deprecated for better compatibility with scikit-learn, use `eval_metric` in constructor or`set_params` instead.\n",
       "  warnings.warn(\n",
-      "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [00:50:00] WARNING: /workspace/src/learner.cc:742: \n",
+      "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [16:14:30] WARNING: /workspace/src/learner.cc:742: \n",
       "Parameters: { \"n_threads\" } are not used.\n",
       "\n",
       "  warnings.warn(smsg, UserWarning)\n"
@@ -417,12 +417,12 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "XGBoost cross-validation --- 2.0221338272094727 seconds ---\n"
+      "XGBoost cross-validation --- 1.9497551918029785 seconds ---\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -432,7 +432,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -444,7 +444,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4718/3553768138.py:13: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/3553768138.py:13: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -474,10 +474,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:02.677215Z",
-     "iopub.status.busy": "2024-02-06T00:50:02.676416Z",
-     "iopub.status.idle": "2024-02-06T00:50:03.956394Z",
-     "shell.execute_reply": "2024-02-06T00:50:03.955876Z"
+     "iopub.execute_input": "2024-02-14T16:14:32.884522Z",
+     "iopub.status.busy": "2024-02-14T16:14:32.883614Z",
+     "iopub.status.idle": "2024-02-14T16:14:34.188754Z",
+     "shell.execute_reply": "2024-02-14T16:14:34.188298Z"
     }
    },
    "outputs": [
@@ -492,12 +492,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "bdt_cv :  S/sqrt(S+B) = 15.284216832108756  at x = 0.82674176\n"
+      "bdt_cv :  S/sqrt(S+B) = 15.364206707574938  at x = 0.8245125\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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UKVPw66+/Kv4zebubChZGoxGnT5/G3XffrVR9iIioBUjUJ6JzeGd3V6NOPXv2REZGBrZv344xY8YAALZv3474+HgkJtYEosmTJ0OlUuHo0aMICAiQyrt06YIJEyY0e729gVODN2fMmIF9+/YhMzMTR44cwZ///GcUFRVh3LhxTVU/IiIih5566ils3LhRevzBBx/IwsKNGzewZ88eTJkyRRYqqoWEhDRHNb2OU8Hi8uXLePzxx9GpUyeMHDkSvr6+OHz4MNq1a9dU9SMiInJo7NixOHDgAC5cuICLFy/i4MGD+Mtf/iI9/9tvv0EURaSkpLixlt7Hqa6QLVu2NFU9iIiInBIREYHhw4dj06ZNEEURw4cPl+0uKooiAEClUrmril6Je4UQEZHHmjBhAlJTU7Fp0ya7MRMdO3aESqXC6dOn3VQ778RgQUREHmvo0KEwmUwwmUx44IEHZM+FhYXhgQcewNq1a1FaWmp3bkFBQTPV0rswWBARkcdSq9U4ffo0Tp8+7XDvqnXr1qGiogJ9+vTBtm3bcO7cOZw+fRpvv/02+vbt64Yat343Nd2UiIhap4zC+rdraEnXCQ4OrvO5hIQEHDt2DEuXLsX06dORm5uLyMhI9OrVC+vXr7/pa5M9BgsiIpKEakOh0+gwd//cZrumTqNDqDa00cdXr6hZly+++EL2OCYmBmvWrMGaNWtcqB05i8GCiIgkMYEx2DFiB/cKIZcxWBARkUxMYAxv9OQyDt4kIiIixTBYEBERkWIYLIiIiEgxDBZERESkGPcN3sz9D1ASCPiHAyHxbqsGERERKcd9wSL1QUCrAgR/YMpRhgsiIqJWwH1dIeN3ASM3AOYyoOy626pBREREynFfi0VMN2tXCBERtSjmnBxY8ptvgSxNaCiE2Nhmu15jtG/fHlOnTsXUqVPdXRXFpKamYurUqU2++RoXyCIiIok5Jwfnhz8E0WBotmuqdDok7fyq0eFi/Pjx2LRpk/Q4LCwMt99+O5YvX45u3bo1VTWpkRgsiIhIYsnPh2gwIHbFcvgmJjb59UwZGciZOQuW/HynWi2GDh2KjRs3AgCuXLmCl19+GQ899BAuXbrUVFW9aSaTCb6+vu6uRpPjdFMiIrLjm5gIXZcuTf7lanjRarWIjo5GdHQ0unfvjtmzZyMrKwtXr14FAMyePRvJycnw9/dHYmIi5s+fD7PZLHuNL7/8Er1794afnx8iIiIwcuTIOq+3ceNG6PV67N27FwBQXFyMMWPGICAgADExMVi1ahUGDBgg6zpp3749lixZgvHjx0Ov12PixIkAgG3btqFLly7QarVo3749Vq5cKbuWSqWy20gtJCRE2nztwoULUKlU2L59OwYOHAh/f3/cdtttOHTokOyc1NRUtG3bFv7+/vjTn/6E69ebZzwjgwUREXm0kpISbN68GR06dEB4eDgAICgoCKmpqTh16hRWr16NDRs2YNWqVdI5O3fuxMiRIzF8+HAcP34c3333HXr37u3w9d98803MmDEDX3/9Ne6//34AwLRp03Dw4EF8+eWX2Lt3L/bv349jx47ZnbtixQp07doVaWlpmD9/PtLS0vDYY49h9OjROHHiBBYuXIj58+c3uGOrI/PmzcOMGTOQnp6O5ORkPP7447BYLACAI0eOYMKECZg8eTLS09MxcOBALFmyxOlruIJdIURE5HG++uorBAZaJwCUlpYiJiYGX331FXx8rJ+XX375ZenY9u3bY/r06di6dStmzZoFAFi6dClGjx6NRYsWScfddtttdteZO3cuNm3ahB9++AG33norAGtrxaZNm/DRRx9h0KBBAKwtGrEOunLuu+8+zJgxQ3o8ZswYDBo0CPPnzwcAJCcn49SpU1ixYgXGjx/v1O9gxowZGD58OABg0aJF6NKlC3777TekpKRg9erVeOCBBzBnzhzpOj/99BP27Nnj1DVcwRYLIiLyOAMHDkR6ejrS09Nx5MgRDBkyBMOGDcPFixcBAJ999hnuuusuREdHIzAwEPPnz5eNv0hPT5dCQV1WrlyJd999FwcOHJBCBQBkZGTAbDajT58+Upler0enTp3sXsO2FeT06dPo37+/rKx///44d+4cKioqGv8LAGQDVWNirLvR5uXlSdfp27ev7Hjbx02FwYKIiDxOQEAAOnTogA4dOqBPnz54//33UVpaig0bNuDw4cMYPXo0hg0bhq+++grHjx/HvHnzYDKZpPN1Ol2D17j77rtRUVGBTz75RFYuiiIA61gIR+W29bQ9pqHzVCqVXZnt+BAAEARBdg4AVFZW1lmX5sJgQUREHk+lUsHHxwcGgwEHDx5Eu3btMG/ePPTu3RsdO3aUWjKqdevWDd999129r9mnTx/s2bMHr732GlasWCGVJyUlQRAEHD16VCorKirCuXPnGqxn586dceDAAVnZTz/9hOTkZKjVagBAZGQkcnNzpefPnTuHsrKyBl/b9jqHDx+Wldk+biocY0FERHZMGRkt+jpGoxFXrlwBAOTn52PNmjUoKSnBww8/jMLCQly6dAlbtmzB7bffjp07d+Lzzz+Xnb9gwQIMGjQISUlJGD16NCwWC3bv3i2NwajWt29f7N69G0OHDoVGo8GLL76IoKAgjBs3DjNnzkRYWBiioqKwYMEC+Pj42LVG2Jo+fTpuv/12LF68GKNGjcKhQ4ewZs0arFu3Tjrmvvvuw5o1a3DnnXeisrISs2fPlrVONMbzzz+Pfv36Yfny5XjkkUfwzTffNMv4CoDBgoiIatGEhkKl0yFn5qyGD1aISqeDJjTUqXP27NkjjSsICgpCSkoKPv30UwwYMAAA8OKLL+Kvf/0rjEYjhg8fjvnz52PhwoXS+QMGDMCnn36KxYsX4/XXX0dwcDDuueceh9fq378/du7ciQcffBBqtRrPP/883nrrLUyaNAkPPfQQgoODMWvWLGRlZcHPz6/eevfs2ROffPIJXnnlFSxevBgxMTF49dVXZQM3V65ciaeeegr33HMPYmNjsXr1aqSlpTn1+7nzzjvx3nvvYcGCBVi4cCEGDx6Ml19+GYsXL3bqdVyhEpu5I6aoqAh6vR6FhYUILskA/nEv8D/7gNjuzVkNIiKvVl5ejszMTCQkJNjdDLmkt/NKS0sRFxeHlStX4umnn3Z3dVxW/XdxobIYs355Gq/1eR8P/8E6SHXrz99jdJ9B1vt3cHCdr8EWCyIikhFiYz3+Rt/Ujh8/jl9//RV9+vRBYWEhXn31VQDAiBEj3Fwz92OwICIicsGbb76JM2fOwNfXF7169cL+/fsRERHh7mq5HYMFERGRk3r06OH0uAdvwemmREREpBi3tVgYTp+GYMgBbgjA2UxoEMU+PSKiZubOhZSo5an+e7iZvwq3BYtLfxmLQLUaQCTwzUtQ6XRI2vkVwwURUTOoXhehrKysUatQkneoXoirsv7lOOrltmARvWQxIm7xBbZPhKn3QuS8thaW/HwGCyKiZqBWqxESEiLtLeHv79/g4k7UeomiiLKyMuTl5SEkJARiQbHLr+W2YOHbvj108VogzAy0jXNXNYiIvFZ0dDSAmo2riEJCQqx/FwVZLr8GZ4UQEXkplUqFmJgYREVFOdzkiryLIAjSfiU3g8GCiMjLqdVqRW4oRACnmxIREZGCGCyIiIhIMQwWREREpBgGCyIiIlIMgwUREREphsGCiIiIFMNgQURERIphsCAiIiLFMFgQERGRYhgsiIiISDEMFkRERKQYBgsiIiJSDIMFERERKYbBgoiIiBTDYEFERESKYbAgIiIixdxUsFi2bBlUKhWmTp2qUHWIiIjIk7kcLH7++Wf84x//QLdu3ZSsDxEREXkwl4JFSUkJxowZgw0bNiA0NFTpOhEREZGHcilYTJkyBcOHD8fgwYMbPNZoNKKoqEj2RURERK2TxtkTtmzZgmPHjuHnn39u1PHLli3DokWLnK4YEREReR6nWiyysrLwwgsv4F//+hf8/Pwadc7cuXNRWFgofWVlZblUUSIiImr5nGqxSEtLQ15eHnr16iWVVVRU4Mcff8SaNWtgNBqhVqtl52i1Wmi1WmVqS0RERC2aU8Fi0KBBOHHihKzsqaeeQkpKCmbPnm0XKoiIiMi7OBUsgoKC0LVrV1lZQEAAwsPD7cqJiIjI+3DlTSIiIlKM07NCbP3www8KVIOIiIhaA7ZYEBERkWIYLIiIiEgxDBZERESkGAYLIiIiUgyDBRERESmGwYKIiIgUw2BBREREimGwICIiIsUwWBAREZFiGCyIiIhIMQwWREREpBgGCyIiIlIMgwUREREphsGCiIiIFMNgQURERIphsCAiIiLFMFgQERGRYhgsiIiISDEMFkRERKQYBgsiIiJSDIMFERERKYbBgoiIiBTDYEFERESKYbAgIiIixTBYEBERkWI07q4AERERuVduSS7yjfnS4+zSiy6/FoMFERGRF8stycWIHSNgsBhk5WKlgCBfvdOvx2BBRETkxfKN+TBYDFh29zIk6hMBAOfzSvD85nOIGBLt9OsxWBARERES9YnoHN4ZAFBZXgjRctWl1+HgTSIiIlIMgwUREREphsGCiIiIFMNgQURERIppGYM3C6rmy149C+SYAf9wICTevXUiIiIip7k3WPiHA4I/8P0SAJHA9olAmNlaNuUowwUREZGHcW9XSEi8NUCM3GB9PHKD9ctcBpRdd2vViIiIyHnu7woJiQcii6zfRyYDoWb31oeIiIhc5v5gQURERG53Pq8EleWFAIDf8kpcfh0GCyIiIi+WV2wEALywNR2V5TWrbeoENUIDfJ1+PQYLIiIiL1ZssA5BmHF/Mu5p30MqDw3wRVyIzunXY7AgIiIixIf5o2uc87uZ2uICWURERKQYBgsiIiJSTIvqCjFlZABBFuCGAJzNhAZREGJj3V0tIiIiaqQWESw0oaFQ6XTImTmrqiQS+OYlqHQ6JO38iuGCiIjIQ7SIYCHExiJp51ew5Odb9wvZPhGm3guR89paWPLzGSyIiIg8RIsIFoA1XAixsdZNyMLMQNs4d1eJiIiInMTBm0RERKQYBgsiIiJSDIMFERERKYbBgoiIiBTDYEFERESKcSpYrF+/Ht26dUNwcDCCg4PRt29f7N69u6nqRkRERB7GqWDRpk0bvP766/jll1/wyy+/4L777sOIESNw8uTJpqofEREReRCn1rF4+OGHZY+XLl2K9evX4/Dhw+jSpYuiFSMiIiLP4/ICWRUVFfj0009RWlqKvn371nmc0WiE0WiUHhcVFbl6SSIiImrhnB68eeLECQQGBkKr1WLSpEn4/PPP0blz5zqPX7ZsGfR6vfQVHx9/UxUmIiKilsvpYNGpUyekp6fj8OHDePbZZzFu3DicOnWqzuPnzp2LwsJC6SsrK+umKkxEREQtl9NdIb6+vujQoQMAoHfv3vj555+xevVqvPvuuw6P12q10Gq1N1dLIiIi8gg3vY6FKIqyMRRERETkvZxqsXjppZcwbNgwxMfHo7i4GFu2bMEPP/yAPXv2NFX9iIiIyIM4FSx+//13jB07Frm5udDr9ejWrRv27NmD+++/v6nqR0RERB7EqWDx/vvvN1U9iIiIqBXgXiFERESkGAYLIiIiUgyDBRERESmGwYKIiIgUw2BBREREimGwICIiIsW4vLspEREReZ7sAgPyS03S46wbZYq+PoMFERGRl8guMGDwyn0wmCukMh+/bAQkAEE6QZFrMFgQERF5ifxSEwzmCvxtVHd0iAoEAGQWncFLR4GoIGU2DGWwICIi8jIdogLRNU4PAPDxC1T0tTl4k4iIiBTDYEFERESKYbAgIiIixbTcMRYFF63/vXoWyDED/uFASLx760RERET1annBwj8cEPyB75cAiAS2TwTCzNayKUcZLoiIiG6CSlOAzKIz0qDNjMIMRV+/5QWLkHhrgEj/BfjmJZh6LwSCLcD3S6DJPAOhB4MFERGRK66VX0FA0kq8dNQsK9dpdAjVhipyjZYXLAAgJB6aZDVUOh1yXltbVRgJ1Y8zkLRrF4TYWLdWj4iIyBMVmwqh8jFjSpdXcE9CF6k8VBuKmMAYRa7RMoMFACE2Fkk7v4IlPx+4eham1GeRczgUlvx8BgsiIqKbEBfQDp3DOzfJa7fYYAFYw4UQG2sdvBlscXd1iIiIqAGcbkpERESKYbAgIiIixTBYEBERkWIYLIiIiEgxLXrwJhEREbkuu8CA/FKT9DjrRlmTX5PBgoiIqBXKLjBg8Mp9MJgrpDIfv2wEJABBOqHJrstgQURE1Arll5pgMFfgb6O6o0OUdfnuzKIzeOkoEBWkbbLrMlgQERG1Yh2iAtE1Tg8A0v4gTYnBgoiIqJVq6g3HHGGwICIiaoWaY8MxRxgsiIiIWqHm2HDMEQYLIiKiVqwpNxxzhAtkERERkWIYLIiIiEgxDBZERESkGAYLIiIiUoznDd68ehbIqZo64x8OhMS7tz5EREQk8Yxg4R8OaPys32+fCIRVBQvBH5hylOGCiIi8njs2HHPEM4JFSDzw2IfArikw9V4ItI0DCi4C3y+BJvMMhB4MFkRE5L3cteGYI54RLABo2qZApdMh57W1tUojofpxBpJ27YIQG+u2uhEREbmTuzYcc8RjgoUQG4uknV/Bkp9vLbh6FqbUZ5FzOBSW/HwGCyIi8nrNveGYIx4TLABruJACRI4ZCLa4t0JEREQkw+mmREREpBgGCyIiIlIMgwUREREpxqPGWBAREZFjKk0BMovOSIM2Mwoz3FIPBgsiIiIPd638CgKSVuKlo2ZZuU6jQ6g2tFnrwmBBRETk4YpNhVD5mDGlyyu4J6GLVB6qDUVMYEyz1oXBgoiIqJWIC2iHzuGd3VoHDt4kIiIixbSOFgvueEpERNQieG6w4I6nRETkpY7nZOJy4VXp8bHcM26sjZznBotaO55i5AYgOQG4dtYaMsquM1gQEVGrdDwnE2O/fhQqH/kMELFSQBt9pJtqVcOpYLFs2TJs374dv/76K3Q6Hfr164c33ngDnTp1aqr61S/oFut/I5OB2C71H0tEROSBsgsMyC81SY8PXbgIlY8Zf46fhZ4xNfffNvpI9IhNcEcVZZwKFvv27cOUKVNw++23w2KxYN68eRgyZAhOnTqFgICApqpjg0wZVYuAXM0EbgjQ/H4NAjc7JSIiD5ddYMDglftgMFdIZT5+2QhIAO5N7IoB7Xu4sXaOORUs9uzZI3u8ceNGREVFIS0tDffcc4+iFWsMTWgoVDodcmbOqlUaCdWPM5C0axe3UiciIo+WX2qCwVyBv43qjg5R1hU1M4vO4KWjQFSQ1s21c+ymxlgUFhYCAMLCwuo8xmg0wmg0So+Liopu5pIyQmwsknZ+BUt+vrXg6lmYUp9FzuFQWPLzGSyIiMjjqTQFUPtlS0t1q4x5bq5R/VwOFqIoYtq0abjrrrvQtWvXOo9btmwZFi1a5OplGiTExtYEiBwzEGxpsmsRERE1p5a0VHdjuRws/vrXv+I///kPDhw4UO9xc+fOxbRp06THRUVFiI/njA0iIqKGtKSluhvLpWDx3HPP4csvv8SPP/6INm3a1HusVquFVtsy+4GIiIg8QUtYqruxnAoWoijiueeew+eff44ffvgBCQnun9ZCRETUWthOLc26UebG2rjGqWAxZcoUfPTRR9ixYweCgoJw5coVAIBer4dOp2uSChIREXmD+qaWBukEN9bMOU4Fi/Xr1wMABgwYICvfuHEjxo8fr1SdlMH9Q4iIyIPkl5pQLl7HrIfjEB/mDwDILi3D2pMtd2qpI053hbRo3D+EiIg8VPUMkPW/ec4MEEc8d68QR7h/CBEReShPnAHiSOsKFoC0f4ipWAPkC8ANgct8ExGRx/CkGSCOtLpgwWW+iYjIE+SW5CLfmC89zi696MbaKKfVBYt6l/k+ewQCqqbIckAnERG5SW5JLkbsGAGDxSArFysFBPnq3VQrZbS6YAHYLPNdEAyEWX9MU+qzNUt+a/yg+Z8dEFJ6uamWRETkrfKN+TBYDFh29zIk6hMBAOfzSvD85nOIGBLt5trdnFYZLGRC4qH5nx1Qff80cg7LR9Wqvn+a3SNERKQo20WuAMCsugGttqZ1IqMwAwAgGqNQWR4HAKgoL4Foudp8FW0irT9YABBSeiFp1y7ugkpERE3K0SJXKk0BApJWQuUjn0YqVgp4fvM5WZjQCWqEBvg2W32bglcEC4C7oBIRUdNztMjVsdwb+CzLjD/Hz0LPmE4ArEt1r9idjVWPDkCHqEDp/NAAX8SFePZK1l4TLIiIiJRmO7Pj/12/7HCRK7FSQOr3Ptgoa50Ix+0JYR4fJGwxWBAREbmgrpkdgIA5PVaiR1zN7t9Gow6CGCY7qjW0TjjCYEFEROSC+mZ23DbkDnQO9+xpo65isCAiImoE226P6pkdifpEaaXMyvLCVjGz42Z4fbAwZWTIHmtCQzlLhIjIy9mGiPzyfLz4w4t23R6etkFYc/DaYKHRVkLlp7VZ+htQ6XRI2vkVwwURkZfKLcnFw1/8EcaKclm5Vu2Hvw/+O0L9aoKE0ajD9UJ/XC8sBAD8llfSrHVtibw2WAgBFUja+CYsvjU7xpkyMpAzcxbXtiAi8mJnrl2BsaIchuxRqDRFSeUWVRDaP9RTGnCZXWDA4PXyNSuA1rEWxc3w2mABAMItERBiuzR8IBEReY1ig3Wq6LR778I97XsAsLZETN2ajvxSkxQs8ktNMJgr8LdR3VvdWhQ3w6uDRV047oKImpqjZZ+9/YbUHJz5vceH+aNrnHxmR+2ujurvO0QF2h3nzRgsanG85TrHXRCRshwt+wxYm9C/nX6v14YL2wGTABCqDUVMYEwdZzjnZn7voQG+0AlqTN2abneuN3d7OMJgUYvdluvguAsick5jbo6OmtAdNbV7k7oWm9JpdNgxYkeD4aKxv3fb5bazbpThzb1ncSz3BAorrO9FdulFu9ePC9Hh2+n3spWpEbw7WFw7K3/sHw4hNp4BgsjLudpN4ezNUakm9JbWrdKYm7xtnTOLsuwWm8oozMDc/XORb8yvN1jU93tfNWCVNIujruW2AxKAl47KX1OsFBDkK39v4kJ0DBGN4J3Bwj8cEPyB7RPl5YI/MOqfgH9ETVnxDQAcd0HkLW6mudzRSozVN8dfsrKQEGz9lKzklER3dqvUtT34M/8eZXeT1/r44c1+/0KEXzSul5ow6eNvYRSLped9fPOgiwMCfeKkxabq4mihKoPFgCldXkFcQDsAQJG5AKv+Mw+Tvp1kc7Z8ue3zeSV4YWs6ZtyfLGvFWLE7GxFDop36fZCVdwaLkHhgylGg7HpNWdk1YOtY4F+Pyg7VmAKg8oviuAsiL6FEN0XtlRjzio0AgBc//waVpnTpGJ0uyGHfvG3oaKjlob76/px5A/kNzFZobGuH7XHXS02Y9M80+0ATmAtNfE24yis2YvLW3TBGf4wJ/9yHyvI4aRvxAAfbiKPCv86fFai7dUKsFPDGFyb5FuS6aVg/LgVRQVoAjpfb1qsN0FbcwPL/LQVQWnOuEM6xEy7yzmABWMNFSLy8zDZsXDsLYftEJL01GRafSKnYdKUQOQvf4LgLolZMsZH+Ff4QKwXo4rbKirVqP1wobYvCCmsz/TWzETpdkf3gQF0R5j3cFnqdIJUF+eoR4Wf9NO1oZkJ9Aw3/PrYXwqtumHWGA5vWjupWkXLxOlSampuvVuuDVY/diY5h8VJdpu3IhgY14aqyvBDlhggEAFg9qjsSgjshs+gMXjpqdrjHRkOtBNWtQrVbJxxtQV4driKERClEOFpum2MnlOe9wcIR27BR1WUi/DgTQu3jioIABDVz5YjIE0X4RaP0/HS8PaYjkqpuetXLQ9s20wck+WF9339JoeHcjSzM/+VJvHHC/pN96fnpEC0hAKxBwKy6gVPXs6Vj1j99C1DhL71WdYgY94F8MIFOUGPThD5S2HDU2vFbXgnKxesITV4Fs2iUnb/sP/9o1OBKAFBp8+DjFwiVMQ+Aa3tsVLcALf8qH5XlNa0bdW1B7mh6qC2OnVAWg0V9HHWZXDsLvDcZDBZErZdKU4DMojPw8bPeWDOLSqDSFNgdZz8A0fGNS7SEICG4k2y3yx0jdtiNE5i7fy5KVOcQ5WdtQRACLkDlY5Z9Os8uvYi1J1/F22M6IiG4E4C6xzXUHrwY6WcNG9WLP1UL0glIjrAgJtDaKltna0egAWbR6NLgStESAK2PH+bunyurW2P32DifV4LKcuuS2aeyrf+dcX+ytHhVdb1rhwNOD3UfBouGOOoyIaJWw3YgYPXMgZeO2swcSBKw+3wgMousN9BCgxlLd52G0VIpHVM9ADGv2IjO4fVfNyYwRnYzDtWGQqfRyW6+gPUGPCLlLunYU9cDsfYkkBQVKAWVU9ez7QaN1tUq4kjtWSt1dQ1cM2fguX3yVoZq1bt8ZhaVwMfX2hpRHQZ+yyuBaAnBm/3+haiQmi6XxqxP4Wh8SvXvuHOcvt6uKnZxuA+Dxc24ehbIqfqfj384AwiRh6lrIKDtzIFz169g3sEZ+DDzZSCz5ihNvP3/RMVKARd+B/5PcG5TqpjAGLtWDKDuG3D1zbz297Y3fUev5+h1bFsdHHUNnLqutTvXURjSxVl/B89vPid1begENTqGt3X+hl7P+JROEQ3P2GAXh3swWDjLPxzQ+Fm/3z4RCKsKFoK/tduE4YKoRTiek4nLhfX32WeXXrT7pO9o5kDn8M5oG7jN7vWCdII04wCwfsJ+dtOvWHgmB0COVN7Y5nfbVgxH6mvZsO1aaMzrVasdVBr7vKMwlFdstI7tqDUI09VWAkfjUwBlV+Mk5TFYOCskHnjsQ2DXFGDkBiA5wTruYvtE61gMBgvPVpAlH1MDuK81qiXVxcMcz8nE2K8fhcpmOqMjYqUAc2l7VGrjAAAV5SUOBxH2iE1Aj9iEel+rczjw7QspTdr87mzLRkPqCiqONCa8NNQF1BDbwZaOxqdQy8Zg4YqgWwAApmINkC8AN6xfmt+vQeDsU89VkAWs7QOYy+Tl7miNakl1aWEcrbtwrfwKik2F0uNjuWeg8jHjz/Gz0DOmU52vVWgwY+n/XsKLZy4CqFnG+WYG+DVH87szLRGNea3GdJkATdtSwMGWrQeDhQscb1YWCdWPM9DmnTVQh4XKjuVaFy2EbQuA7af/suvWG/nIDUBEsrXMXa1RTtbFnJMj2+MGaJ1/e45WmaxebMm2dUKsFPDHlLsabGUYmNjT6wf4KRlUXMXBlq0Hg4UL7DYru3oWFR8/g8tHYpE1Ub5MuN0KnWzedg9HLQB1ffqPSAZiuzdtXRr7N9CIuphzcnB++EMQDfIBiK1xdVhHq0xWL7ZUe0omALTRRzYYKgAO8GtJ+F60DgwWLhJiY2v+h51jBmKMDa/QWU/ztvnRr2Cp8JMVt4pPnDcRpBT9FG7bAuBkS4T592uw5J9s8DhH9ZP9HMW/A588CY26DEJArdUO6wg5sutezXTY5Wa59CtEgwGxL02Bb1vrOAHTpWzkvLYWZd9ul8oAQKMPgnBLrb1wWniote32cLTKZPVaE/ckdGlwjwkianoMFkpo7AqddTRvm/85CedHPw2xXL6iXaM+cbbkFpCbGCfQZJ/CbVsAau9wa7vbbXVdStU4P34aRGPDAwFVflq0WfQi1PpgAEBFOXB57mKbnyMIKm0YklLfst7kq0KOOfMMLL5F1kOuZqIiV4vLT82w+buwdrkl7dpVE1Y/eRJAEHx/WQhdhrWOmlI1VOpI5Ly2Vl4/dSXa3JUPtbZq7QWNHzT/swNCSq8Gf7bmVt/mWuxzJ2q5GCyU4OwKnTY3N4vRB2K5EbErlsM30TrlzZSRgZyZs+T7kdiGiOqN01rqAL+bGLNgyc+3fgpv6Hfiqvp2uPUPlx1nqfCHaDQj9s58+AZb6nzJCqMPLh8IRdbs12XlKj8t4jdssI69uXoWptRnkXM4FGWXDfD1tQ78dRwiwqHyg+Nzq1siCi7CdKOqTtWzlAAIAJKeuAZLYc3ukRWFRbi8YBWy9vnI6/f90zVBpQVx1O0BWFeZLKzIRGHVP4WGpkkSUfNisFCKAit0+iYmQteli+Mn6/v0/5dtNVu9t8SprzcxZqHe30l9bEOYbWtEVRg0Z56R3Xzhp4emTA0hpNZxVdOLfcevhy65/j77pN9r3cwLLgLfL4HmqS0QetxlLcsxQxNpgspPazP41z5EYPtE+bkFwdDE+kClrrRpiQiFyk8LTfIdQK1wIMRC3oIGIOn2+2Vjg6qDijs21LNd8dJWZlEJfPyyofaLlLo78svz8eK/X3S4dHVjl4cmoqbFYNEMTGn/tt4oCi5ap6aezbROUwWAq5kwFdX9Npgyqj6NXT0L/G6G5pEVEFL61BzQUro9FFB7LIL0cztg+5zduIb6Qlit1ghzmRrnJ8xquLulanoxIpOB2PpDjuxmnpMOpC8Aao9pACAEVCBp45uw+FaNwncUInLM1sXXap8bEg9h1hEk/ZeDMNQ2pVHBwG5sUD0tME2p7hUv5QISgJfke2ZBp9Hh74P/jlC/miDBBZOIWg4Gi6biHw5NoK+DT5eRwDcv2RwcCpVWgMaUKy0RrjFdc/CpNhKqH9chaddDspuIbHBg1QA/WXgBgOLfodFWttiBe+Zf0+zGmaj8tNCEyqfu2k/ztR6XtPHNmp/t2lmYC4yw9F8EhNTMEtBEt4VQ6+dt8u6Wegi3RECoDinVIUJ9wxpGqn4Gh0LiIfSIt2uJuFlS+AWcCiquOnPtit3W17aybpThzb1nsXpUd666SORBGCyaSj2fLqVPwIB8lsCOR6ViAUDS/WpYjDX94aZSf+QchOym53iQo6PwYh24l/Tg1ZrZCDczG0XJQaMFWbD8YwTE8iDZOAZNoC+EslNAjnVTIwFA0scbZPU1nfgZOQvfQNnqv0jnWcc6REH833dll1HpdGjz9tvSOiPVLR8ud7c0VkMDRBs73kNpdYbfqkGojViTxdHMHUduaM0oDLUOuMwrNmLy1t1QR9tvfW1LJ7RFz5hbOQWRyIMwWDSlRn267AKkHLK/ScN6I5Wde+kGcHCK7Bi7T91VzeoYucHadA/I+9KHvw+hahny+maj1L4B27V2VA0aNRcYZcEHGj/reITq4FTH9EjAdhrlWWkAojSOoXpg6r8elZ0nCP4Qag1M1ZhyrTfGw/L+dZWfFvF/r7kxVtzIx+Xnn3e4zkjtVhFFNTYwOBr8W31+U7YoOQq/BRdRsfu1Rq3J4qiVqS5GAZg6UY3rehUAQB0NCCotPhh7LyL86t5MiosjEXkeBouWoLEDP6tuxLXHGNh96q5uVg8zA6FV0yMravrSay9DbrrqazcbpSLrLC7PWWR/U7Fp7TCbAnD+m3iIRvkqedglDz520yNRNX3TbgaEgwGIjmba2AxMFW6JQNKDV2EZ/n5NkILjT9eyRc3qOa7279X2e6c4ExgUGPzrEtvwWzUupK41WcrS0uCbnw8U/w7ThvEQywPks2U0frj2x7+h2NfaqnSj1IR/froLU388CO3FISgNSgEAaDU++HDCoEYtYEVEnoXBwoPUOcag9qfuOj4lawIDHIzZsN7M/Xv1qlkT4YvJSLrf6KALJqCmtQOA5dINiNun1ISSqi4dWMpl163uvpFuSFcz7QNN7cGLtW/ydd1sbboWhIAKa70aHFgZ22AXT6N+x85wV2BwVR1rsmhMAVBpI21+LwFQaQX4v/AvaT2O3B2T8GjWMhgqawJnQpII/AjMHzIYIV37A2BLBFFrxmDhQeyWEq8i+9Rdx6dkwT8cSX9Vy6Ya2t3Mq9adEMZugBBR8+lf6oKpPSuiqvWkZnyC4y4dTVEFVMcm2gcarQD/NjoIoWZri4rtDAhHmmEsQqN+x62Zo7+fsmsQto5F0pAsu64v28W18tU+MFSapG3Iz+eV4O31XwP4CLeaKuBbcNl6YAFgLvOS3ymRl2Gw8DCN+dRd16dkIQTyqYZ1zUSwXXeini6Yhq4rxNp0QdQxWLVR4aCZxiI06nfcmjn6+5lyFELZdfmYn3p+74n6RHQO74zK8kJocRjQ+jpsBWpte5kQEYOF93Li0//Ndg/Ib9R1DFZtbDjwtK6F1sLB7z27wID87Jqtyv2ulUjfZ51Nh6//DRRdycYnoUsgDLE0OMOJiFoHBgtv5cSnf8W7BxgOPI7tZmDXS02Y9M80lIvXodKUAgAiUYDZAdapo/H/fh4dTGZ0AFAGLQrH/AsRUVV/K9Jy9wGy9TM00W0btWeJt2wRT+SpGCy8mRM3eK/vHvBidW4GpitCWOLfYKq0DtgtA7AAemh9fFF4/wf4zTcMABAYegui23asObGO9TNUahFJG16F0D5Zdmztv1Fv2iKeyFMxWBBRvao3A1v4p1iEB9fs8FpgMWH5sXJpoGa1BlfGdLB+huncr8hZ+SEsWyZDCKu1i6zgD4z6p7QXjuVspttWSyWixmGwIKIGqTQFWHN2IYyV8unEOo0OvaJ6Ob/Etu36GZEngZUfynZodbhI2g0BQCR8IwOadrVUInIZgwURNUilKYWx0oXWCSdJC7gBAGKAQZuB8poBoqaTacA322RlRNSyMFgQUaNVTyNVWl0zjxxRqSuh0QcpXgciUgaDBRHJ2M4A+S2vpJ6jlVHXzCM7V89Cs/Np+S69VWzXVuFMESL3cDpY/Pjjj1ixYgXS0tKQm5uLzz//HI888kgTVI2Imlpd00jtZoAE+tieqrhGzTzKMQM/yOtW3zornClC1PycDhalpaW47bbb8NRTT+HRRx9t+AQiapHqnEYqqLFpQh+EB/hKZdfMGXhuX3PXsB619osRACR9vAGWCj+pjDNFiNzH6WAxbNgwDBs2rCnqQkTNqK5ppEE6AZFBV2XHlhizm7t6jtWxYqwg+EOYctRuXZbG7EzLLhMiZTX5GAuj0QijsWZ77KKioqa+JBE1Ul3TSB3RaXQI1bqww6uSHK0Ye826oR7KrkvBwqnBoOwyIVJUkweLZcuWYdGiRU19GSJyQV3TSB1Remqpy+paMbaB7hFHqrtMyr7dDt+2cVJ5Y5cXJyJ7TR4s5s6di2nTpkmPi4qKEB/PfSKImlt9sz2aahpps3Cme6QgS9baoQk3QKUWZUuLA1XLi2/bzHBB5IImDxZarRZarbapL0NE9ahzoGYzzPZocvV1j1yqtZNu9Uqe5jLpMAFA0ogAWO5ZCviFALAuwpXzzjZYrlxisCByAdexIPIC9e/34caKKcW2e6SOVgwI/sBftkl7j1iLwiHYda1sa7q6ErVyTgeLkpIS/Pbbb9LjzMxMpKenIywsDG3btlW0ckSknPr2+3D7oEylOWrFAOx2SyUi5TkdLH755RcMHDhQelw9fmLcuHFITU1VrGJE5LrsAgPOXb+EYpN1T42sG2VQ+2c2y34fLUZdgzwbq+AikJNe85ihhKhRnA4WAwYMgCiKTVEXIlJAdoEBg1d/AXXbFVD51HR76OIArdrPtd1IvYmf3vrf75cA6QukYrMpAJY//gsIukUq4xoYRPY4xoKoFcgtyUW+0brPxvm8EpiF89D4mDGlyyuIC2gHwLrwVaeIaIaKhlQFB1PvhUDVFNSKS6dx+Y1NELdPkR2q8tMiadcuhguiWhgsiDzc8ZxMTPzuMdnYCV0coPXxw4iUuxgknCQtrmU3BVWF+HuvQ62tBACYijTIORwKy6VfGSyIamGwIPIwtVsn8oqNmLx1N9TR5TBkj0KlKQoAoNX44MMJgxgqXFDXTqsadTmEYHVNwdEfgMPvwnT2lKx7xBF2mZA3YbAg8iC5JbkYsWMEDBaDVKaOBgSVFu+M+i9E+EUDAEIDfBEXonNXNT1eY3Za1bS7BpW6sqplY229x3LZcPImDBZEHuTMtSswWAzS2ImsG2V4c+9ZfDD2XgxI6uTu6nkVIaETkkYUw1Jikj+h8QMe+7BmrAZ3WiUvw2BB5CGyCwx49l9p0MQDy7/KR2W5PwBAJ7RFx3CuIdPsQuIhzDoCwdGKn23DgNgu7qsbkRsxWBB5iPxSE4yWSmgArB7VHQnB1hYKdnu4USM2RMPVTAD2W7hz3AW1VgwWRC1UfZuGJUUFonO43h3Vovo4WEpcU6qGSh1lt4U7x11Qa8VgQdQCtepNw1ozB0uJC9fOIgmTYOn/ChBiXVPEdCkbOa+theXsEQhIqDmfq3tSK8BgQdQCOFqC26i+hFlDkxEf5i8d12o2DWvNHGyIJoRoIdRaxRM3BACRMKU+CwRbpGJNoC+EWUcYLsijMVgQuVldS3AHJADrf7M/vlVuGtaaOWjF0Px+DaofZyDnsPx9VKkrkfRfZyD0YLAgz8VgQeRm+aUmGMViBDhYgjsqSGt3fKvdNKw1s2nFEGKBpF27ZItwmdL+jZzX1qLspx/gW1gslWui20JI6dWs1SW6GQwWRC3IPQld0Dm8s7urQc3AdhEujbocKvUa5LyzDcA2qVylFpG0bTPDBXkMBgsiohZASOmFpG2bYblySSoznUxDzjvbYPl1f81y4hzgSS0cgwWRG9Te7yOzqAQ+vnlurhG1BEJKL3nLhJ8ewDaYvnjduo07AGj8oPmfHWzBoBaLwYKomTna76N6N1IOyqTaNG1ToPLT2g/y/P5pu+3azTk59huncREucgMGC6JmVtd+H++MvZeDMklGiI2VD/K8eham1GeRczgUZd9uh2/bOABARTlwee5iiAaD7HwuwkXuwGBB1IRsV8+8XmrCs59wvw9qPNkgz4JgaGJ9au2qWkPlp0X8hg1Qh1lbN7j5GbkLgwVRE6lePbNcvA6VplQq99NdA8D9PsgFVRufJf3XGViqp6QWXAS+XwLNU1sg9LjLvfUjAoMFUZPJLzWhXLyO0ORVMItG2XM6jQ694+MRE8j9PshJIfEQesRDqH6ckw6kLwDUN6zfVyu+AcB+8zNHOBaDlMRgQdSEVJpSmEUjlt29DIn6RKmci1yRYhxsfAYAGlMAVNpIu83PHOFYDFISgwWRguqaRpqoT+TCV9Q0HCwZjrJrELaORdKQLFiMtTau0/gBQxYDfiFSkcMN0bhWBt0EBgsiF9gOygSAa+VXMOOnv8BYWS6VcRopNQvbjc8AYMpRCGXXa7pMyq4BW8cCh6fKj6vaEA3bJwJhVXvVCP7WsMJwQS5gsCBqgKOZHZP+mWa3pbmPXzYCEsphyB6FSlMUAECr8cGHEwax24OaXx1hQ9ayAQBnM4FvXoKp90KgbVzNYNBMboZGrmGwIKpH9cwO2xChE9RYNaYdNJqymmNLy7D2JLDqT0M424NaJgdhQ4MoqHQ6m+mrkVDtm4Y2r06HWh9sLfLTQ9M2heMwqEEMFkT1yC81wWCuwN9GdUeHqECp3Ky6gWf+PUq2eibA2R7keYTYWCTt/KpmEa7i31Hxz3G4/IM/sma/LjtW5adFm3fWSGtlAJxRQvYYLIhs2A3A9MuG2i8SPn41wSK7MAMGi4GzPahVkO+02gVI+QlJmfK1Mip2v4bLR2KRNVE++4QzSsgWgwVRLY728QhIAF46an+sTqNDr6heDBLU+tSxVkbSW5Nh8YmUDjNdKUTOwjdQlpYG31r7lDhqxbDdy4QtHa0XgwVRLfnGfFlLxPm8ErywNR2rR3VHUq2uEICtE+RFqtbKEH6cWRM2ULVWhl+U3VoZKj8tkja+CeGWCACAuagC5x+fKNvLhC0drReDBVEtecXWFTJFYxQqy+NQUV6CyvKrSAjuhM7hHDdBXsrRWhnXzkLYPhFJG9+ExbcqYBf/DtOG8cg5CJSt/gt8gy0AAFOpP0RDAGJXLIdvYiL3MWnlGCzIq9UeT5FXbMTkrbuhjgZe2JqOyvKrAKwzQEIDfN1ZTSL3czR9FYBwSwSE2C7WBzlmaMJKoNKG2G/1rhXg30YHIdQMBFkcXoJbv7cODBbktRyNp1BHA4JKiw/G3osIv2gAnDJKVK9rZ2XfCwEVSEp9S9aKgU+ehEZdBmHHo9ayqkW5TCd+lk6tuJGPy88/z63fWwEGC/JaZ65dgcFiwJQuryAuoB2ybpThzb1n8cHYezEgqZO7q0fUstWxRwkEfwgJnSBIrRtdgJRDsm4Uza9HofpuJXIWviE7lVu/tw4MFuQ1judk4nKhtXuj0GDGa3v3QR0NLP8qH5Xl/gAAndAWHcPburOaRJ7B0bgLwPE+IzbdKIJ/OJJGLISlRL4svibQF8Kt7biUuIdjsCCvcDwnE2O/fhQqH7NUpo4GfH388A67PYhcU8e4i8acJ8w6AsFmMCi2T7QGFQYLj8ZgQV7hcuFVqHzM+HP8LPSMsXZzBOkEdIqI5pRRIneoK5TUHrNxNRMAYEr7N3C1plwT3RZCSq+mriG5iMGCPF7tmR3V6lpjomdMJzz8hz7NVTUiaiwHYzY0pWqo1JE2+5gAKrWINiuXQR2fXHMsZ4+0GAwW5NEczewAAK3aDy92W4pgIQQAcCz3jBtqR0SN5mDMhgAg6YlrNUuLA6i4dBqX39iErKkvyU7nPiYtB4MFeTTblTIB4Nz1K5h3cAZePz5ddqxYKaCNPtLRyxBRS+Cge0SIhWy1TxT0RtKva2QDPyuMPrh8IMzhPiZt3n5bHjbU5RCC1fLrOhpwSi5jsKBWoXqlTAAQS/UoPT8dM4fFIT7MXzqmjT4SPWIT3FVFIlJCHQM/k4InwdL/FSCkHQCgorAIlxessg8bahFt7roBtbZSKtME+kKYdYThQiEMFuRRbMdTpOVYuzhqr5QJADohHCO63MEZHkStkW3Lhn84hBAthPQFssOS7lfDYvSRHkstG/vCZcep1JVI+q8zEHowWCiBwYI8Rm5JLh7+4o8wVpTLysVKAa8Mux2929TavpzTRom8Rx1ragiw6UYBkFRUAUuFn/TYlPZv5Ly2FmU//QDfWmM5OPPEdQwW1GLVXtAKAM7cOA9jRTkM2aNQaYqSyrWqINz/pxQGCSJv1sg1NWzHbGjU5VCp1yDnnW0AtknlKrWINq9MgfqWNjUH++mBoFtkr8cBovYYLKhFcrSgFWBtnVjx8CPoGFbzPxC2ThCRq4SUXkjathmWK5eksorfL+Pyq2uRtWBdg+fbbhEPwOsHgzJYUIuQXWDAueuXUGwqBGCdHmq7oBXAAZhEpDwhpZddt0fSbf1kYQPlBcA38wFLTVesqUiDnMOhsGwcDSGs1ocgwR8Y9U/A3zvDBoMFNSnbwFAtyFcvLaN9vdSESR9/C3XbFbIWCrFSwB9T7mKQIKJm5yhs4M7B8nEcZzOBwy/B1Hsh0NY6K00KIG+Plp+r8QMe+9CuK8VWa+haYbAgxdiGiEKDGa99/Qt8ojc57NIwXB4LsSIAAOCnuwaVj1naaRRg6wQRtTA24zg0iIJKp7NbGRQIqvqysWtKg5doDdvEM1iQy2pP/cwrNmLyxz/ahQh1rHWjr2m3vS6tgllkLsCq/zcPqrYfyF5Pp9FhRMpd3LuDiDyCEBuLpJ1fwZKfX/+Bxb8Dnzwp60YBYNeK0Vq2iWewIJccz8nExO8eg7Gy5h+KOhYQVFpM775SChF1bfR1X+Ktjd7fg4iopRJiYxsRAroAKYfk3SjVu7n6XwNCw6xlQRYA1oDRkJbcZcJgQY1i1zqxdTfU0fKpn1qNDz6cMKhR3RcxgTEMEUTkPRws6uV407Uo5Myc1eDLteS9URgsvIijXUAb49z1K1h8ZLa8dSLa2jrxzqj/kgZhctonEVEjOdp0rewakoQnZfugOFLf3igtYXwGg0Ur5GgmRvW4htrhwBnWwZYTpMGWzrROEBGRA442XbPdB8URB3ujmC5lW1cQ/XY7fKtnqNShqVcVdSlYrFu3DitWrEBubi66dOmCv/3tb7j77ruVrpvXs21hyCs2othgrueMxszEqAkHjaXV+OC1EXei4xAuSkVE1KQas4Kog71RrN0okQ5mqNhTqUW0WbkM6vjkmvMV7EZxOlhs3boVU6dOxbp169C/f3+8++67GDZsGE6dOoW2bdsqUqnWpDHhIEgnICpIKytz1P3QWI5mYgDytSOcwRBBRNSCOOpGAZD0xDVYau134kjFpdO4/MYmZE19SVau5JgNlSiKojMn3HHHHejZsyfWr18vlf3hD3/AI488gmXLljV4flFREfR6PY58sxWBPbtK5Y2ZEdCYMQKNvXE35tP/zVKm+2GsrPth3oN/gF5nu62OXF0zMYiIyMsVZMG8/A7ZOI7qMRtihUp2qG3Y2HPyZ4wc9RQKCwsRHBxc5yWcarEwmUxIS0vDnDlzZOVDhgzBTz/95PAco9EIo9EoPS4stPb7z/v+ZWSfr7m81scPk7vOR7Cgd/g6ReZCrPu/xS7fpN1FrBRQnv0ExEp/AICv2gczh3RCsM76sxcZLFjxzRmYKipl5/mqfbBg+O1I6lvTVxbi74vYxrYcVFpDHBERkcRHD0z6FjDcqCkru47IwGdgKZWHjZxDoTg9YYJUFlJZAQBosD1CdEJ2drYIQDx48KCsfOnSpWJycrLDcxYsWCAC4Be/+MUvfvGLX63gKysrq96s4NLgTZVK3lwiiqJdWbW5c+di2rRp0uPKykrcuHED4eHhdZ5DyioqKkJ8fDyysrLqbb6i5sP3pGXh+9Hy8D1peURRRHFxMWIbGHfhVLCIiIiAWq3GlStXZOV5eXm45RbHG6totVpotfLxDSEhIc5clhQSHBzMf6AtDN+TloXvR8vD96Rl0ev1DR7j48wL+vr6olevXti7d6+sfO/evejXr59ztSMiIqJWx+mukGnTpmHs2LHo3bs3+vbti3/84x+4dOkSJk2a1BT1IyIiIg/idLAYNWoUrl+/jldffRW5ubno2rUrdu3ahXbt2jVF/UgBWq0WCxYssOuSIvfhe9Ky8P1oefieeC6n17EgIiIiqotTYyyIiIiI6sNgQURERIphsCAiIiLFMFgQERGRYhgsWol169YhISEBfn5+6NWrF/bv31/nsdu3b8f999+PyMhIBAcHo2/fvvj666+bsbbewZn3pLaDBw9Co9Gge/fuTVtBL+Ps+2E0GjFv3jy0a9cOWq0WSUlJ+OCDD5qptt7B2fdk8+bNuO222+Dv74+YmBg89dRTuH79er3nkBs4s1cItUxbtmwRBUEQN2zYIJ46dUp84YUXxICAAPHixYsOj3/hhRfEN954Qzx69Kh49uxZce7cuaIgCOKxY8eaueatl7PvSbWCggIxMTFRHDJkiHjbbbc1T2W9gCvvxx//+EfxjjvuEPfu3StmZmaKR44csdsniVzn7Huyf/9+0cfHR1y9erWYkZEh7t+/X+zSpYv4yCOPNHPNqSEMFq1Anz59xEmTJsnKUlJSxDlz5jT6NTp37iwuWrRI6ap5LVffk1GjRokvv/yyuGDBAgYLBTn7fuzevVvU6/Xi9evXm6N6XsnZ92TFihViYmKirOztt98W27Rp02R1JNewK8TDVW9lP2TIEFl5fVvZ26qsrERxcTHCwsKaoopex9X3ZOPGjTh//jwWLFjQ1FX0Kq68H19++SV69+6N5cuXIy4uDsnJyZgxYwYMBkNzVLnVc+U96devHy5fvoxdu3ZBFEX8/vvv+OyzzzB8+PDmqDI5waXdTanluHbtGioqKuw2gbvlllvsNoury8qVK1FaWorHHnusKarodVx5T86dO4c5c+Zg//790Gj4z1JJrrwfGRkZOHDgAPz8/PD555/j2rVrmDx5Mm7cuMFxFgpw5T3p168fNm/ejFGjRqG8vBwWiwV//OMf8c477zRHlckJbLFoJZzZyr62jz/+GAsXLsTWrVsRFRXVVNXzSo19TyoqKvDEE09g0aJFSE5Obq7qeR1n/o1UVlZCpVJh8+bN6NOnDx588EG89dZbSE1NZauFgpx5T06dOoXnn38er7zyCtLS0rBnzx5kZmZyn6oWiB+NPJwrW9lX27p1K55++ml8+umnGDx4cFNW06s4+54UFxfjl19+wfHjx/HXv/4VgPXGJooiNBoNvvnmG9x3333NUvfWyJV/IzExMYiLi5NtEf2HP/wBoiji8uXL6NixY5PWubVz5T1ZtmwZ+vfvj5kzZwIAunXrhoCAANx9991YsmQJYmJimrze1DhssfBwrm5l//HHH2P8+PH46KOP2EepMGffk+DgYJw4cQLp6enS16RJk9CpUyekp6fjjjvuaK6qt0qu/Bvp378/cnJyUFJSIpWdPXsWPj4+aNOmTZPW1xu48p6UlZXBx0d+y1Kr1QCsLR3Ugrhv3CgppXra1vvvvy+eOnVKnDp1qhgQECBeuHBBFEVRnDNnjjh27Fjp+I8++kjUaDTi2rVrxdzcXOmroKDAXT9Cq+Pse2KLs0KU5ez7UVxcLLZp00b885//LJ48eVLct2+f2LFjR/G///u/3fUjtDrOvicbN24UNRqNuG7dOvH8+fPigQMHxN69e4t9+vRx149AdWCwaCXWrl0rtmvXTvT19RV79uwp7tu3T3pu3Lhx4r333is9vvfee0UAdl/jxo1r/oq3Ys68J7YYLJTn7Ptx+vRpcfDgwaJOpxPbtGkjTps2TSwrK2vmWrduzr4nb7/9tti5c2dRp9OJMTEx4pgxY8TLly83c62pIdw2nYiIiBTDMRZERESkGAYLIiIiUgyDBRERESmGwYKIiIgUw2BBREREimGwICIiIsUwWBAREZFiGCyIiIhIMQwWREREpBgGCyIvVFFRgX79+uHRRx+VlRcWFiI+Ph4vv/yyVLZt2zbcd999CA0Nhb+/Pzp16oQJEybg+PHj0jGpqalQqVTSV2BgIHr16oXt27c3289ERC0DgwWRF1Kr1di0aRP27NmDzZs3S+XPPfccwsLC8MorrwAAZs+ejVGjRqF79+748ssvcfLkSfzjH/9AUlISXnrpJdlrBgcHIzc3F7m5uTh+/DgeeOABPPbYYzhz5kyz/mxE5Gbu3qyEiNxn9erVYmhoqJidnS1+8cUXoiAI4vHjx0VRFMVDhw6JAMTVq1c7PLeyslL6fuPGjaJer5c9X1FRIQqCIH7yySdSWXl5uThz5kyxTZs2oq+vr9ihQwfxvffeEysqKsS4uDhx/fr1stdIS0sTAYjnz59X5gcmoiancXewISL3ee655/D555/jySefxIkTJ/DKK6+ge/fuAICPP/4YgYGBmDx5ssNzVSpVna9bUVGBDz/8EADQs2dPqfzJJ5/EoUOH8Pbbb+O2225DZmYmrl27Bh8fH4wePRqbN2/GpEmTpOM/+ugj9O3bF4mJiQr8tETULNydbIjIvU6fPi0CEG+99VbRbDZL5UOHDhW7desmO3blypViQECA9FVQUCCKorXFAoBU7uPjI2q1WnHjxo3SuWfOnBEBiHv37nVYj2PHjokqlUq8cOGCKIqi1Iqxdu1ahX9iImpKHGNB5OU++OAD+Pv7IzMzE5cvX5Y9Z9sqMWHCBKSnp+Pdd99FaWkpRFGUngsKCkJ6ejrS09Nx/PhxvPbaa3jmmWfwv//7vwCA9PR0qNVq3HvvvQ7r0aNHD6SkpODjjz8GAOzbtw95eXl47LHHlPxxiaiJMVgQebFDhw5h1apV2LFjB/r27Yunn35aCgsdO3bE+fPnYTabpeNDQkLQoUMHxMXF2b2Wj48POnTogA4dOqBbt26YNm0aBg4ciDfeeAMAoNPpGqzPmDFj8NFHHwGwdoM88MADiIiIUOJHJaJmwmBB5KUMBgPGjRuHZ555BoMHD8Z7772Hn3/+Ge+++y4A4PHHH0dJSQnWrVvn8jXUajUMBgMA4NZbb0VlZSX27dtX5/FPPPEETpw4gbS0NHz22WcYM2aMy9cmIvfg4E0iLzVnzhxUVlZKLQpt27bFypUrMW3aNAwdOhR9+/bF9OnTMX36dFy8eBEjR45EfHw8cnNz8f7770OlUsHHp+aziSiKuHLlCgBraNm7dy++/vpraepq+/btMW7cOEyYMEEavHnx4kVZd0dCQgL69euHp59+GhaLBSNGjGjm3woR3TQ3j/EgIjf44YcfRLVaLe7fv9/uuSFDhoj33XefNJ1069at4oABA0S9Xi8KgiC2adNGfOKJJ8TDhw9L51QP3qz+0mq1YnJysrh06VLRYrFIxxkMBvHFF18UY2JipOmmH3zwgez6a9euFQGITz75ZBP99ETUlFSiWGv0FREREdFN4BgLIiIiUgyDBRERESmGwYKIiIgUw2BBREREimGwICIiIsUwWBAREZFiGCyIiIhIMQwWREREpBgGCyIiIlIMgwUREREphsGCiIiIFPP/AQcpwPwUe/A6AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -507,7 +507,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -517,7 +517,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -557,10 +557,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:03.958542Z",
-     "iopub.status.busy": "2024-02-06T00:50:03.958186Z",
-     "iopub.status.idle": "2024-02-06T00:50:10.296752Z",
-     "shell.execute_reply": "2024-02-06T00:50:10.296196Z"
+     "iopub.execute_input": "2024-02-14T16:14:34.190535Z",
+     "iopub.status.busy": "2024-02-14T16:14:34.190366Z",
+     "iopub.status.idle": "2024-02-14T16:14:40.444768Z",
+     "shell.execute_reply": "2024-02-14T16:14:40.444091Z"
     }
    },
    "outputs": [
@@ -569,7 +569,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "XGBoost k-folding --- 2.713792562484741 seconds ---\n"
+      "XGBoost k-folding --- 2.6696691513061523 seconds ---\n"
      ]
     },
     {
@@ -619,10 +619,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:10.298907Z",
-     "iopub.status.busy": "2024-02-06T00:50:10.298711Z",
-     "iopub.status.idle": "2024-02-06T00:50:10.304400Z",
-     "shell.execute_reply": "2024-02-06T00:50:10.304020Z"
+     "iopub.execute_input": "2024-02-14T16:14:40.447150Z",
+     "iopub.status.busy": "2024-02-14T16:14:40.446967Z",
+     "iopub.status.idle": "2024-02-14T16:14:40.452768Z",
+     "shell.execute_reply": "2024-02-14T16:14:40.452310Z"
     }
    },
    "outputs": [],
@@ -682,10 +682,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:10.306074Z",
-     "iopub.status.busy": "2024-02-06T00:50:10.305915Z",
-     "iopub.status.idle": "2024-02-06T00:50:34.890032Z",
-     "shell.execute_reply": "2024-02-06T00:50:34.889470Z"
+     "iopub.execute_input": "2024-02-14T16:14:40.454538Z",
+     "iopub.status.busy": "2024-02-14T16:14:40.454383Z",
+     "iopub.status.idle": "2024-02-14T16:15:04.617337Z",
+     "shell.execute_reply": "2024-02-14T16:15:04.616837Z"
     }
    },
    "outputs": [
@@ -694,7 +694,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "XGBoost early-stop folding --- 16.265354871749878 seconds ---\n"
+      "XGBoost early-stop folding --- 16.12229871749878 seconds ---\n"
      ]
     },
     {
@@ -731,7 +731,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "XGBoost early-stop limit --- 6.2194907665252686 seconds ---\n"
+      "XGBoost early-stop limit --- 5.9259254932403564 seconds ---\n"
      ]
     },
     {
@@ -743,14 +743,14 @@
       "Train Accuracy : 0.878406430077885\n",
       "Test Accuracy : 0.8180580234817411\n",
       "\n",
-      "modelfit(bdt_es) --- 23.111666679382324 seconds ---\n"
+      "modelfit(bdt_es) --- 22.667714595794678 seconds ---\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4718/41647419.py:18: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/41647419.py:18: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -792,10 +792,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:34.892835Z",
-     "iopub.status.busy": "2024-02-06T00:50:34.892618Z",
-     "iopub.status.idle": "2024-02-06T00:50:36.874777Z",
-     "shell.execute_reply": "2024-02-06T00:50:36.874252Z"
+     "iopub.execute_input": "2024-02-14T16:15:04.620003Z",
+     "iopub.status.busy": "2024-02-14T16:15:04.619680Z",
+     "iopub.status.idle": "2024-02-14T16:15:06.611199Z",
+     "shell.execute_reply": "2024-02-14T16:15:06.610693Z"
     }
    },
    "outputs": [
@@ -803,7 +803,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "bdt_cv :  S/sqrt(S+B) = 15.284216832108756  at x = 0.82674176\n"
+      "bdt_cv :  S/sqrt(S+B) = 15.364206707574938  at x = 0.8245125\n"
      ]
     },
     {
@@ -815,7 +815,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -825,7 +825,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -835,7 +835,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -875,10 +875,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:36.876733Z",
-     "iopub.status.busy": "2024-02-06T00:50:36.876425Z",
-     "iopub.status.idle": "2024-02-06T00:50:36.881133Z",
-     "shell.execute_reply": "2024-02-06T00:50:36.880670Z"
+     "iopub.execute_input": "2024-02-14T16:15:06.613050Z",
+     "iopub.status.busy": "2024-02-14T16:15:06.612871Z",
+     "iopub.status.idle": "2024-02-14T16:15:06.617503Z",
+     "shell.execute_reply": "2024-02-14T16:15:06.617126Z"
     }
    },
    "outputs": [],
@@ -931,10 +931,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:36.882978Z",
-     "iopub.status.busy": "2024-02-06T00:50:36.882614Z",
-     "iopub.status.idle": "2024-02-06T00:50:57.000551Z",
-     "shell.execute_reply": "2024-02-06T00:50:57.000035Z"
+     "iopub.execute_input": "2024-02-14T16:15:06.619141Z",
+     "iopub.status.busy": "2024-02-14T16:15:06.618956Z",
+     "iopub.status.idle": "2024-02-14T16:15:26.796264Z",
+     "shell.execute_reply": "2024-02-14T16:15:26.795752Z"
     }
    },
    "outputs": [
@@ -974,7 +974,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "XGBoost grid-scan --- 18.899073839187622 seconds ---\n"
+      "XGBoost grid-scan --- 18.946533203125 seconds ---\n"
      ]
     },
     {
@@ -1004,14 +1004,14 @@
       "Suggestion: {'max_depth': 7, 'min_child_weight': 3}\n",
       "Accuracy: 0.8091291887649159\n",
       "\n",
-      "hpgridscan(bdt_st) --- 19.127185344696045 seconds ---\n"
+      "hpgridscan(bdt_st) --- 19.182318449020386 seconds ---\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4718/1018627576.py:13: SettingWithCopyWarning: \n",
+      "/tmp/ipykernel_4644/1018627576.py:13: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
@@ -1048,10 +1048,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:57.003053Z",
-     "iopub.status.busy": "2024-02-06T00:50:57.002731Z",
-     "iopub.status.idle": "2024-02-06T00:50:57.005261Z",
-     "shell.execute_reply": "2024-02-06T00:50:57.004860Z"
+     "iopub.execute_input": "2024-02-14T16:15:26.799376Z",
+     "iopub.status.busy": "2024-02-14T16:15:26.798590Z",
+     "iopub.status.idle": "2024-02-14T16:15:26.802033Z",
+     "shell.execute_reply": "2024-02-14T16:15:26.801687Z"
     }
    },
    "outputs": [],
@@ -1077,10 +1077,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:57.007265Z",
-     "iopub.status.busy": "2024-02-06T00:50:57.006964Z",
-     "iopub.status.idle": "2024-02-06T00:50:58.731960Z",
-     "shell.execute_reply": "2024-02-06T00:50:58.731415Z"
+     "iopub.execute_input": "2024-02-14T16:15:26.804020Z",
+     "iopub.status.busy": "2024-02-14T16:15:26.803711Z",
+     "iopub.status.idle": "2024-02-14T16:15:28.530892Z",
+     "shell.execute_reply": "2024-02-14T16:15:28.530469Z"
     }
    },
    "outputs": [
@@ -1096,7 +1096,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1125,10 +1125,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:50:58.733868Z",
-     "iopub.status.busy": "2024-02-06T00:50:58.733563Z",
-     "iopub.status.idle": "2024-02-06T00:51:00.530382Z",
-     "shell.execute_reply": "2024-02-06T00:51:00.529851Z"
+     "iopub.execute_input": "2024-02-14T16:15:28.532791Z",
+     "iopub.status.busy": "2024-02-14T16:15:28.532455Z",
+     "iopub.status.idle": "2024-02-14T16:15:30.345869Z",
+     "shell.execute_reply": "2024-02-14T16:15:30.345379Z"
     }
    },
    "outputs": [
@@ -1143,7 +1143,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "bdt_cv :  S/sqrt(S+B) = 15.284216832108756  at x = 0.82674176\n"
+      "bdt_cv :  S/sqrt(S+B) = 15.364206707574938  at x = 0.8245125\n"
      ]
     },
     {
@@ -1163,7 +1163,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f6c17de7910>"
+       "<matplotlib.legend.Legend at 0x7f55fddba410>"
       ]
      },
      "execution_count": 21,
@@ -1172,7 +1172,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1225,17 +1225,17 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:00.532337Z",
-     "iopub.status.busy": "2024-02-06T00:51:00.532031Z",
-     "iopub.status.idle": "2024-02-06T00:51:00.667857Z",
-     "shell.execute_reply": "2024-02-06T00:51:00.667345Z"
+     "iopub.execute_input": "2024-02-14T16:15:30.347886Z",
+     "iopub.status.busy": "2024-02-14T16:15:30.347564Z",
+     "iopub.status.idle": "2024-02-14T16:15:30.481508Z",
+     "shell.execute_reply": "2024-02-14T16:15:30.481057Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f6c17d51e10>"
+       "<matplotlib.legend.Legend at 0x7f55fdd64990>"
       ]
      },
      "execution_count": 22,
@@ -1290,10 +1290,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:00.669934Z",
-     "iopub.status.busy": "2024-02-06T00:51:00.669616Z",
-     "iopub.status.idle": "2024-02-06T00:51:00.672381Z",
-     "shell.execute_reply": "2024-02-06T00:51:00.671925Z"
+     "iopub.execute_input": "2024-02-14T16:15:30.483446Z",
+     "iopub.status.busy": "2024-02-14T16:15:30.483143Z",
+     "iopub.status.idle": "2024-02-14T16:15:30.486103Z",
+     "shell.execute_reply": "2024-02-14T16:15:30.485599Z"
     }
    },
    "outputs": [
@@ -1301,8 +1301,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Notebook real time --- 401.37995314598083 seconds ---\n",
-      "Notebook CPU time --- 182.2430899 seconds ---\n"
+      "Notebook real time --- 265.9296314716339 seconds ---\n",
+      "Notebook CPU time --- 180.03033820000002 seconds ---\n"
      ]
     }
    ],
diff --git a/advanced-python/40Histograms.html b/advanced-python/40Histograms.html
index 6866ff59..c9213bf1 100644
--- a/advanced-python/40Histograms.html
+++ b/advanced-python/40Histograms.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -522,7 +527,7 @@ <h1>6: Histograms<a class="headerlink" href="#6:-Histograms" title="Link to this
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 <div class="highlight"><pre>
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 <div class="highlight"><pre>
-[StairsArtists(stairs=&lt;matplotlib.patches.StepPatch object at 0x7f3fa525e390&gt;, errorbar=None, legend_artist=None)]
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 Regular(20, 0.026503, 0.993653, name='BDT')<br/>
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+Weight() Σ=WeightedSum(value=119946, variance=121125) <em>(WeightedSum(value=120004, variance=121181) with flow)</em>
 
 </div>
 </div>
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         0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
diff --git a/advanced-python/40Histograms.ipynb b/advanced-python/40Histograms.ipynb
index 32ecfd57..088e9728 100644
--- a/advanced-python/40Histograms.ipynb
+++ b/advanced-python/40Histograms.ipynb
@@ -32,10 +32,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:04.859564Z",
-     "iopub.status.busy": "2024-02-06T00:51:04.859399Z",
-     "iopub.status.idle": "2024-02-06T00:51:05.874700Z",
-     "shell.execute_reply": "2024-02-06T00:51:05.874182Z"
+     "iopub.execute_input": "2024-02-14T16:15:34.712734Z",
+     "iopub.status.busy": "2024-02-14T16:15:34.712574Z",
+     "iopub.status.idle": "2024-02-14T16:15:35.721788Z",
+     "shell.execute_reply": "2024-02-14T16:15:35.721228Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -59,10 +59,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:05.876942Z",
-     "iopub.status.busy": "2024-02-06T00:51:05.876557Z",
-     "iopub.status.idle": "2024-02-06T00:51:05.992271Z",
-     "shell.execute_reply": "2024-02-06T00:51:05.991869Z"
+     "iopub.execute_input": "2024-02-14T16:15:35.724011Z",
+     "iopub.status.busy": "2024-02-14T16:15:35.723792Z",
+     "iopub.status.idle": "2024-02-14T16:15:35.838454Z",
+     "shell.execute_reply": "2024-02-14T16:15:35.838016Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -72,7 +72,7 @@
     {
      "data": {
       "text/plain": [
-       "ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7f3fd263bdd0>, cbar=<matplotlib.colorbar.Colorbar object at 0x7f3fd2649450>, text=[])"
+       "ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fddd987d810>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fddd96b6e10>, text=[])"
       ]
      },
      "execution_count": 2,
@@ -162,10 +162,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:05.994224Z",
-     "iopub.status.busy": "2024-02-06T00:51:05.993903Z",
-     "iopub.status.idle": "2024-02-06T00:51:05.997357Z",
-     "shell.execute_reply": "2024-02-06T00:51:05.996990Z"
+     "iopub.execute_input": "2024-02-14T16:15:35.840257Z",
+     "iopub.status.busy": "2024-02-14T16:15:35.840085Z",
+     "iopub.status.idle": "2024-02-14T16:15:35.843572Z",
+     "shell.execute_reply": "2024-02-14T16:15:35.843198Z"
     }
    },
    "outputs": [],
@@ -186,10 +186,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:05.999341Z",
-     "iopub.status.busy": "2024-02-06T00:51:05.999161Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.001581Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.001180Z"
+     "iopub.execute_input": "2024-02-14T16:15:35.845294Z",
+     "iopub.status.busy": "2024-02-14T16:15:35.845127Z",
+     "iopub.status.idle": "2024-02-14T16:15:35.847688Z",
+     "shell.execute_reply": "2024-02-14T16:15:35.847208Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -205,10 +205,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.003425Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.003107Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.007613Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.007239Z"
+     "iopub.execute_input": "2024-02-14T16:15:35.849553Z",
+     "iopub.status.busy": "2024-02-14T16:15:35.849254Z",
+     "iopub.status.idle": "2024-02-14T16:15:35.853737Z",
+     "shell.execute_reply": "2024-02-14T16:15:35.853295Z"
     }
    },
    "outputs": [
@@ -259,10 +259,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.009411Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.009113Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.011984Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.011597Z"
+     "iopub.execute_input": "2024-02-14T16:15:35.855301Z",
+     "iopub.status.busy": "2024-02-14T16:15:35.855156Z",
+     "iopub.status.idle": "2024-02-14T16:15:35.857930Z",
+     "shell.execute_reply": "2024-02-14T16:15:35.857548Z"
     }
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    "outputs": [],
@@ -286,17 +286,17 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.013549Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.013405Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.336043Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.335530Z"
+     "iopub.execute_input": "2024-02-14T16:15:35.859631Z",
+     "iopub.status.busy": "2024-02-14T16:15:35.859326Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.178459Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.177975Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7f3fd254a010>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]"
+       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fddd96d0710>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]"
       ]
      },
      "execution_count": 7,
@@ -333,17 +333,17 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.338108Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.337866Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.439416Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.438976Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.180297Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.180071Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.280592Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.280101Z"
     }
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    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7f3fa5472b90>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]"
+       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fddab86c690>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]"
       ]
      },
      "execution_count": 8,
@@ -370,17 +370,17 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.441256Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.440934Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.545374Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.544881Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.282473Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.282117Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.387976Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.387475Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7f3fa549d8d0>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]"
+       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fddd88f1390>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]"
       ]
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      "execution_count": 9,
@@ -408,10 +408,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.547036Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.546875Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.550328Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.549839Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.390071Z",
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+     "iopub.status.idle": "2024-02-14T16:15:36.393387Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.392983Z"
     }
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    "outputs": [
@@ -450,10 +450,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.551993Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.551835Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.555146Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.554675Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.395278Z",
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+     "shell.execute_reply": "2024-02-14T16:15:36.397965Z"
     }
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    "outputs": [],
@@ -467,10 +467,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.557030Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.556735Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.560268Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.559778Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.399949Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.399805Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.403397Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.403027Z"
     }
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    "outputs": [],
@@ -483,10 +483,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.562184Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.561874Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.581634Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.581201Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.405178Z",
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+     "shell.execute_reply": "2024-02-14T16:15:36.423511Z"
     }
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    "outputs": [
@@ -1549,17 +1549,17 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.584268Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.583974Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.723788Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.723347Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.426384Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.426022Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.566053Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.565488Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7f3fa5352690>, cbar=<matplotlib.colorbar.Colorbar object at 0x7f3fa521e150>, text=[])"
+       "ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fddabc31390>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fddab7cf190>, text=[])"
       ]
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      "execution_count": 14,
@@ -1595,10 +1595,10 @@
    "execution_count": 15,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:51:06.725665Z",
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-     "shell.execute_reply": "2024-02-06T00:51:06.728051Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.567950Z",
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+     "shell.execute_reply": "2024-02-14T16:15:36.570496Z"
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    "outputs": [
@@ -1634,10 +1634,10 @@
    "execution_count": 16,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:51:06.730151Z",
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-     "shell.execute_reply": "2024-02-06T00:51:06.737071Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.572670Z",
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+     "shell.execute_reply": "2024-02-14T16:15:36.579184Z"
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    "outputs": [
@@ -1869,10 +1869,10 @@
    "execution_count": 17,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:51:06.742236Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.581374Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.581069Z",
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+     "shell.execute_reply": "2024-02-14T16:15:36.584421Z"
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    "outputs": [
@@ -1932,10 +1932,10 @@
    "execution_count": 18,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:51:06.747067Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.586762Z",
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    "outputs": [
@@ -1960,10 +1960,10 @@
    "execution_count": 19,
    "metadata": {
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-     "iopub.status.idle": "2024-02-06T00:51:06.751960Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.751542Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.591646Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.591245Z",
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    "outputs": [
@@ -1987,10 +1987,10 @@
    "execution_count": 20,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:51:06.756277Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.596247Z",
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    "outputs": [
@@ -2024,10 +2024,10 @@
    "execution_count": 21,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:51:06.761075Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.601186Z",
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    "outputs": [
@@ -2060,10 +2060,10 @@
    "execution_count": 22,
    "metadata": {
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-     "iopub.execute_input": "2024-02-06T00:51:06.763063Z",
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    "outputs": [
@@ -2105,10 +2105,10 @@
    "execution_count": 23,
    "metadata": {
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-     "shell.execute_reply": "2024-02-06T00:51:06.825600Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.611056Z",
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+     "shell.execute_reply": "2024-02-14T16:15:36.666552Z"
     }
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    "outputs": [
@@ -2359,10 +2359,10 @@
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+     "iopub.execute_input": "2024-02-14T16:15:36.669105Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.668729Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.689455Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.688963Z"
     }
    },
    "outputs": [
@@ -3427,10 +3427,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.850304Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.850155Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.852805Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.852421Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.691616Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.691253Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.694078Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.693578Z"
     }
    },
    "outputs": [],
@@ -3443,17 +3443,17 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.854524Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.854246Z",
-     "iopub.status.idle": "2024-02-06T00:51:06.955597Z",
-     "shell.execute_reply": "2024-02-06T00:51:06.955193Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.695809Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.695558Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.796816Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.796357Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7f3fa4101a10>, errorbar=None, legend_artist=None)]"
+       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fddab7fded0>, errorbar=None, legend_artist=None)]"
       ]
      },
      "execution_count": 26,
@@ -3480,17 +3480,17 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:06.957375Z",
-     "iopub.status.busy": "2024-02-06T00:51:06.957064Z",
-     "iopub.status.idle": "2024-02-06T00:51:07.056564Z",
-     "shell.execute_reply": "2024-02-06T00:51:07.056195Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.798648Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.798284Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.900283Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.899811Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7f3fa525e390>, errorbar=None, legend_artist=None)]"
+       "[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fddab6ba890>, errorbar=None, legend_artist=None)]"
       ]
      },
      "execution_count": 27,
@@ -3543,10 +3543,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:07.058293Z",
-     "iopub.status.busy": "2024-02-06T00:51:07.058131Z",
-     "iopub.status.idle": "2024-02-06T00:51:07.064389Z",
-     "shell.execute_reply": "2024-02-06T00:51:07.063973Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.902113Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.901948Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.908199Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.907805Z"
     }
    },
    "outputs": [],
@@ -3561,10 +3561,10 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:07.065914Z",
-     "iopub.status.busy": "2024-02-06T00:51:07.065759Z",
-     "iopub.status.idle": "2024-02-06T00:51:07.082437Z",
-     "shell.execute_reply": "2024-02-06T00:51:07.082016Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.909802Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.909620Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.926519Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.926090Z"
     }
    },
    "outputs": [
@@ -3665,8 +3665,8 @@
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@@ -3763,13 +3763,13 @@
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@@ -3813,13 +3813,13 @@
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@@ -4510,18 +4510,18 @@
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@@ -4558,24 +4558,24 @@
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+       "<rect x=\"130.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.026944846961714158\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
+       "<rect x=\"135.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.005324397969756091\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
+       "<rect x=\"140.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.0022859419533607104\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
+       "<rect x=\"145.00000000000009\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.00046989812028945776\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
+       "<rect x=\"149.99999999999991\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.0006376481535328\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
        "<rect x=\"155.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.0\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
-       "<rect x=\"160.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.00020476065149360113\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
+       "<rect x=\"160.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.00024978417363747367\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
        "<rect x=\"165.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.0\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
        "<rect x=\"169.99999999999991\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.0\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
        "<rect x=\"175.00000000000006\" y=\"-250.0\" width=\"5.0\" height=\"12.5\" opacity=\"0.0\" fill=\"currentColor\" stroke-width=\"0.1\"/>\n",
@@ -4599,7 +4599,7 @@
        "Regular(50, 2.75, 3.5, name='mass')<br/>\n",
        "Regular(20, 0.026503, 0.993653, name='BDT')<br/>\n",
        "<hr style=\"margin-top:.2em; margin-bottom:.2em;\"/>\n",
-       "Weight() Σ=WeightedSum(value=119974, variance=121182) <em>(WeightedSum(value=120033, variance=121242) with flow)</em>\n",
+       "Weight() Σ=WeightedSum(value=119946, variance=121125) <em>(WeightedSum(value=120004, variance=121181) with flow)</em>\n",
        "\n",
        "</div>\n",
        "</div>\n",
@@ -4609,7 +4609,7 @@
        "Hist(\n",
        "  Regular(50, 2.75, 3.5, name='mass'),\n",
        "  Regular(20, 0.026503, 0.993653, name='BDT'),\n",
-       "  storage=Weight()) # Sum: WeightedSum(value=119974, variance=121182) (WeightedSum(value=120033, variance=121242) with flow)"
+       "  storage=Weight()) # Sum: WeightedSum(value=119946, variance=121125) (WeightedSum(value=120004, variance=121181) with flow)"
       ]
      },
      "execution_count": 29,
@@ -4626,10 +4626,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:07.084922Z",
-     "iopub.status.busy": "2024-02-06T00:51:07.084761Z",
-     "iopub.status.idle": "2024-02-06T00:51:07.092112Z",
-     "shell.execute_reply": "2024-02-06T00:51:07.091646Z"
+     "iopub.execute_input": "2024-02-14T16:15:36.928936Z",
+     "iopub.status.busy": "2024-02-14T16:15:36.928774Z",
+     "iopub.status.idle": "2024-02-14T16:15:36.936223Z",
+     "shell.execute_reply": "2024-02-14T16:15:36.935832Z"
     }
    },
    "outputs": [
@@ -4715,7 +4715,7 @@
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.14845083e+00],\n",
+       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.08596451e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
@@ -4725,72 +4725,72 @@
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 2.05446563e+00, 7.96512911e+00],\n",
+       "        0.00000000e+00, 0.00000000e+00, 1.85773205e+00, 7.79024295e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        9.83084843e-01, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 8.47208928e-01, 0.00000000e+00, 1.06491397e+00,\n",
-       "        6.17668941e-01, 1.86765349e+00, 1.70775419e+00, 2.65980841e+01],\n",
+       "        6.55877090e-01, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "        0.00000000e+00, 8.27664964e-01, 0.00000000e+00, 1.02762958e+00,\n",
+       "        7.87856261e-01, 1.77655647e+00, 2.14837654e+00, 2.64901046e+01],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 1.34566452e+00, 3.54331482e+00, 0.00000000e+00,\n",
-       "        6.91131015e+00, 3.37436170e+00, 8.28903259e+00, 3.82739379e+00,\n",
-       "        5.03425612e+00, 1.23933316e+01, 8.33293950e+00, 1.13367706e+01,\n",
-       "        1.62757782e+01, 2.36911714e+01, 3.92850770e+01, 1.01273599e+02],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 1.85787404e+00, 6.93728587e+00,\n",
-       "        7.93944761e+00, 3.06129394e+01, 4.85624596e+01, 9.76312956e+01,\n",
-       "        8.77302533e+01, 1.00027384e+02, 9.24613409e+01, 8.16687046e+01,\n",
-       "        8.04229856e+01, 8.50028668e+01, 1.17789752e+02, 1.09674446e+02,\n",
-       "        1.25052995e+02, 1.56066555e+02, 2.47822673e+02, 3.37564300e+02],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 1.35874877e+01, 8.24468114e+01,\n",
-       "        1.66791531e+02, 3.14237471e+02, 5.90947160e+02, 9.52650475e+02,\n",
-       "        9.70669770e+02, 8.89691594e+02, 8.00644889e+02, 7.72828008e+02,\n",
-       "        7.40622774e+02, 6.86182825e+02, 7.05673201e+02, 7.12779318e+02,\n",
-       "        6.91809501e+02, 7.32303592e+02, 9.91442170e+02, 9.89079400e+02],\n",
-       "       [0.00000000e+00, 3.47408334e+00, 4.42165478e+01, 2.77319439e+02,\n",
-       "        5.82744008e+02, 1.25254516e+03, 2.39535291e+03, 4.13146261e+03,\n",
-       "        3.80254871e+03, 3.29800081e+03, 3.12783665e+03, 2.69414329e+03,\n",
-       "        2.61272306e+03, 2.29681486e+03, 2.25767329e+03, 2.24222686e+03,\n",
-       "        2.18640184e+03, 2.16874401e+03, 2.43548904e+03, 2.35677119e+03],\n",
-       "       [0.00000000e+00, 9.32129012e-01, 6.05404451e+01, 2.75483562e+02,\n",
-       "        6.98321521e+02, 1.39307737e+03, 2.83272095e+03, 4.70096391e+03,\n",
-       "        4.38661721e+03, 3.98604631e+03, 3.68145427e+03, 3.17299161e+03,\n",
-       "        2.99418571e+03, 2.58865872e+03, 2.78166271e+03, 2.44422172e+03,\n",
-       "        2.46004655e+03, 2.49973939e+03, 2.73273353e+03, 2.64058105e+03],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 1.20467454e+01, 9.46949836e+01,\n",
-       "        2.36878393e+02, 4.89243789e+02, 8.41091363e+02, 1.52677662e+03,\n",
-       "        1.48138903e+03, 1.33450512e+03, 1.22818982e+03, 1.14919810e+03,\n",
-       "        1.17156753e+03, 1.03748083e+03, 1.09708159e+03, 9.72902222e+02,\n",
-       "        1.02631056e+03, 1.04917200e+03, 1.33170370e+03, 1.34609600e+03],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 1.35407263e+00, 7.44019090e+00,\n",
-       "        2.43449961e+01, 4.18787227e+01, 8.92089594e+01, 1.37456546e+02,\n",
-       "        1.70995921e+02, 1.51734657e+02, 1.56810810e+02, 1.34338834e+02,\n",
-       "        1.67410537e+02, 1.53649061e+02, 2.05068750e+02, 1.83700797e+02,\n",
-       "        1.96047379e+02, 2.72940438e+02, 3.58235942e+02, 4.49585405e+02],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.14958212e+00,\n",
-       "        8.15052678e-01, 3.47664856e+00, 6.43337925e+00, 7.43664338e+00,\n",
-       "        1.45979667e+01, 6.48108930e+00, 7.56935482e+00, 9.97313073e+00,\n",
-       "        1.40410110e+01, 1.15275158e+01, 1.67606170e+01, 2.81575316e+01,\n",
-       "        1.59529244e+01, 3.16354951e+01, 6.80226660e+01, 1.33279745e+02],\n",
+       "        0.00000000e+00, 1.09616158e+00, 3.16376759e+00, 0.00000000e+00,\n",
+       "        7.35354167e+00, 3.24516620e+00, 8.05539969e+00, 3.91187925e+00,\n",
+       "        4.00239094e+00, 1.25877515e+01, 7.76339693e+00, 1.19457535e+01,\n",
+       "        1.71296139e+01, 2.34771356e+01, 4.16879565e+01, 1.00904652e+02],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 1.65488706e+00, 5.69146703e+00,\n",
+       "        8.01945104e+00, 2.74020053e+01, 4.52061968e+01, 9.83137565e+01,\n",
+       "        8.41419988e+01, 9.50674829e+01, 9.04514800e+01, 8.25605366e+01,\n",
+       "        8.43071840e+01, 8.45665331e+01, 1.21802986e+02, 1.10712699e+02,\n",
+       "        1.29619280e+02, 1.54247866e+02, 2.47926402e+02, 3.37150054e+02],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 1.37979174e+01, 8.52636936e+01,\n",
+       "        1.68841089e+02, 3.15205852e+02, 5.92528143e+02, 9.50834182e+02,\n",
+       "        9.77193090e+02, 8.89513842e+02, 8.08860734e+02, 7.72008738e+02,\n",
+       "        7.36545118e+02, 6.75767875e+02, 7.02353714e+02, 7.07515051e+02,\n",
+       "        6.85972099e+02, 7.39963463e+02, 9.91316673e+02, 9.74631140e+02],\n",
+       "       [0.00000000e+00, 3.05395891e+00, 4.53298699e+01, 2.77520271e+02,\n",
+       "        5.78327641e+02, 1.24201615e+03, 2.41147954e+03, 4.12137350e+03,\n",
+       "        3.82587296e+03, 3.29749831e+03, 3.10069794e+03, 2.70402838e+03,\n",
+       "        2.62495768e+03, 2.26811017e+03, 2.23330554e+03, 2.22547014e+03,\n",
+       "        2.16661484e+03, 2.15996575e+03, 2.44376877e+03, 2.35006390e+03],\n",
+       "       [0.00000000e+00, 1.06627348e+00, 6.43404053e+01, 2.74217491e+02,\n",
+       "        6.95878701e+02, 1.40014468e+03, 2.82388726e+03, 4.72831780e+03,\n",
+       "        4.38121982e+03, 3.95247235e+03, 3.68133482e+03, 3.19631783e+03,\n",
+       "        2.98197655e+03, 2.58462299e+03, 2.78141237e+03, 2.43809272e+03,\n",
+       "        2.46878320e+03, 2.50205327e+03, 2.71988709e+03, 2.64731373e+03],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 1.21210598e+01, 9.48177298e+01,\n",
+       "        2.38953297e+02, 4.89549886e+02, 8.39668673e+02, 1.53087320e+03,\n",
+       "        1.48697711e+03, 1.34065762e+03, 1.23427342e+03, 1.14164068e+03,\n",
+       "        1.16988979e+03, 1.06476227e+03, 1.10348001e+03, 9.78068132e+02,\n",
+       "        1.02968090e+03, 1.04559599e+03, 1.34772754e+03, 1.35219812e+03],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 1.41144987e+00, 7.29387996e+00,\n",
+       "        2.48411793e+01, 4.32885365e+01, 9.01395737e+01, 1.31103953e+02,\n",
+       "        1.76819921e+02, 1.55662210e+02, 1.64438893e+02, 1.35910019e+02,\n",
+       "        1.67435063e+02, 1.48509362e+02, 2.05491898e+02, 1.79774988e+02,\n",
+       "        1.91118578e+02, 2.68241633e+02, 3.47593420e+02, 4.46373030e+02],\n",
+       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 7.75008656e-01,\n",
+       "        1.10466503e+00, 3.85689240e+00, 7.57240696e+00, 6.72152994e+00,\n",
+       "        1.56846438e+01, 4.89821435e+00, 7.17146965e+00, 1.07477942e+01,\n",
+       "        1.33279887e+01, 1.23446808e+01, 1.82459705e+01, 3.06592720e+01,\n",
+       "        1.63965034e+01, 3.37014796e+01, 6.89573819e+01, 1.26080076e+02],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 9.19328132e-01, 0.00000000e+00,\n",
-       "        1.04097362e+00, 0.00000000e+00, 0.00000000e+00, 3.65494275e+00,\n",
-       "        2.16575646e+00, 4.84841399e+00, 1.40751484e+01, 2.49317280e+01],\n",
+       "        0.00000000e+00, 0.00000000e+00, 7.48974579e-01, 0.00000000e+00,\n",
+       "        1.00704792e+00, 0.00000000e+00, 0.00000000e+00, 3.19660794e+00,\n",
+       "        2.29234210e+00, 4.07078788e+00, 1.40480489e+01, 2.50106634e+01],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 1.84178842e+00, 1.09236354e+01],\n",
+       "        0.00000000e+00, 0.00000000e+00, 1.90152259e+00, 1.05139496e+01],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.90913040e+00],\n",
+       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.41007027e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.50733199e+00],\n",
+       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.00470989e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
@@ -4800,7 +4800,7 @@
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.09802194e-01],\n",
+       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.36148430e+00],\n",
        "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
diff --git a/advanced-python/45DemoReweighting.html b/advanced-python/45DemoReweighting.html
index 0fe43f1e..590a7ea2 100644
--- a/advanced-python/45DemoReweighting.html
+++ b/advanced-python/45DemoReweighting.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -503,7 +508,7 @@ <h1>7: Demonstration of distribution reweighting<a class="headerlink" href="#7:-
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_5167/453314117.py:4: DeprecationWarning:
+/tmp/ipykernel_5056/453314117.py:4: DeprecationWarning:
 Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
 (to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
 but was not found to be installed on your system.
@@ -678,7 +683,7 @@ <h2>train part of original distribution<a class="headerlink" href="#train-part-o
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  hSPD  =  0.521532786069641
+KS over  hSPD  =  0.5203293432835709
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -686,7 +691,7 @@ <h2>train part of original distribution<a class="headerlink" href="#train-part-o
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_b  =  0.21869298507300033
+KS over  pt_b  =  0.21319746268492878
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -694,7 +699,7 @@ <h2>train part of original distribution<a class="headerlink" href="#train-part-o
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_phi  =  0.40407485572151247
+KS over  pt_phi  =  0.4012718109454085
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -702,7 +707,7 @@ <h2>train part of original distribution<a class="headerlink" href="#train-part-o
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  vchi2_b  =  0.40315059700877287
+KS over  vchi2_b  =  0.40672667661057726
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -710,7 +715,7 @@ <h2>train part of original distribution<a class="headerlink" href="#train-part-o
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  mu_pt_sum  =  0.21869298507300033
+KS over  mu_pt_sum  =  0.21319746268492878
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -736,8 +741,8 @@ <h2>test part for target distribution<a class="headerlink" href="#test-part-for-
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  hSPD  =  0.5181806468942461
-KS over  pt_b  =  0.2117249270654996
+KS over  hSPD  =  0.5220074695019696
+KS over  pt_b  =  0.2273728106693022
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -745,8 +750,8 @@ <h2>test part for target distribution<a class="headerlink" href="#test-part-for-
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_phi  =  0.39734291550071926
-KS over  vchi2_b  =  0.4114962436121
+KS over  pt_phi  =  0.4047094187650385
+KS over  vchi2_b  =  0.39924409811681316
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -754,7 +759,7 @@ <h2>test part for target distribution<a class="headerlink" href="#test-part-for-
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  mu_pt_sum  =  0.2117249270654996
+KS over  mu_pt_sum  =  0.2273728106693022
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -795,8 +800,8 @@ <h2>Bins-based reweighting in n dimensions<a class="headerlink" href="#Bins-base
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  hSPD  =  0.40882731291504454
-KS over  pt_b  =  0.11370672512099517
+KS over  hSPD  =  0.4151142266874527
+KS over  pt_b  =  0.12811693815234615
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -804,7 +809,7 @@ <h2>Bins-based reweighting in n dimensions<a class="headerlink" href="#Bins-base
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_phi  =  0.274164933082356
+KS over  pt_phi  =  0.2851415251892374
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -812,8 +817,8 @@ <h2>Bins-based reweighting in n dimensions<a class="headerlink" href="#Bins-base
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  vchi2_b  =  0.35385537482401175
-KS over  mu_pt_sum  =  0.11370672512099517
+KS over  vchi2_b  =  0.3405441740376065
+KS over  mu_pt_sum  =  0.12811693815234615
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -848,8 +853,8 @@ <h2>Gradient Boosted Reweighter<a class="headerlink" href="#Gradient-Boosted-Rew
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  hSPD  =  0.056483221287462415
-KS over  pt_b  =  0.024794142226322924
+KS over  hSPD  =  0.039761029998725106
+KS over  pt_b  =  0.024820440604513272
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -857,8 +862,8 @@ <h2>Gradient Boosted Reweighter<a class="headerlink" href="#Gradient-Boosted-Rew
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_phi  =  0.06181648469069534
-KS over  vchi2_b  =  0.022084478634007865
+KS over  pt_phi  =  0.03945051537810079
+KS over  vchi2_b  =  0.03399675496839749
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -866,7 +871,7 @@ <h2>Gradient Boosted Reweighter<a class="headerlink" href="#Gradient-Boosted-Rew
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  mu_pt_sum  =  0.024794142226322924
+KS over  mu_pt_sum  =  0.024820440604513272
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -909,9 +914,9 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-No reweight   KS: 0.5181806468942461
-Bins reweight KS: 0.40882731291504454
-GB Reweight   KS: 0.056483221287462415
+No reweight   KS: 0.5220074695019696
+Bins reweight KS: 0.4151142266874527
+GB Reweight   KS: 0.039761029998725106
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -927,7 +932,7 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-No reweight   KS: 0.09583124976705806
+No reweight   KS: 0.09372471292683904
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -935,8 +940,8 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Bins reweight KS: 0.12280756843543553
-GB Reweight   KS: 0.05734825029784174
+Bins reweight KS: 0.11946396153876429
+GB Reweight   KS: 0.027083782348541974
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -952,7 +957,7 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-No reweight   KS: 0.37176657078975295
+No reweight   KS: 0.369434339489599
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -960,8 +965,8 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Bins reweight KS: 0.339807241724008
-GB Reweight   KS: 0.03192878543735511
+Bins reweight KS: 0.33438061571818684
+GB Reweight   KS: 0.025494181256763504
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -977,15 +982,7 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-No reweight   KS: 0.4755599757506862
-</pre></div></div>
-</div>
-<div class="nboutput docutils container">
-<div class="prompt empty docutils container">
-</div>
-<div class="output_area docutils container">
-<div class="highlight"><pre>
-Bins reweight KS: 0.37788460332851737
+No reweight   KS: 0.4844283771683202
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -993,7 +990,8 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-GB Reweight   KS: 0.04467073507051755
+Bins reweight KS: 0.3885579523094539
+GB Reweight   KS: 0.03837999184730735
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -1009,15 +1007,7 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-No reweight   KS: 0.49324049356537336
-</pre></div></div>
-</div>
-<div class="nboutput docutils container">
-<div class="prompt empty docutils container">
-</div>
-<div class="output_area docutils container">
-<div class="highlight"><pre>
-Bins reweight KS: 0.4045896623115322
+No reweight   KS: 0.4915998026494926
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1025,7 +1015,8 @@ <h3>Comparing some simple expressions:<a class="headerlink" href="#Comparing-som
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-GB Reweight   KS: 0.04795372086978622
+Bins reweight KS: 0.4021796320123954
+GB Reweight   KS: 0.029117337765006135
 </pre></div></div>
 </div>
 </section>
@@ -1066,7 +1057,7 @@ <h2>GB-discrimination<a class="headerlink" href="#GB-discrimination" title="Link
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-original 0.9390359088931497
+original 0.9376629710113205
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1074,7 +1065,7 @@ <h2>GB-discrimination<a class="headerlink" href="#GB-discrimination" title="Link
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-bins 0.914814049291749
+bins 0.9125274802414471
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1082,7 +1073,7 @@ <h2>GB-discrimination<a class="headerlink" href="#GB-discrimination" title="Link
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-gb_weights 0.5201009709703769
+gb_weights 0.5068809081381802
 </pre></div></div>
 </div>
 <section id="Great!">
@@ -1136,7 +1127,7 @@ <h3>What did just happen?<a class="headerlink" href="#What-did-just-happen?" tit
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-(907.1212756418231, 72559.2547546806)
+(490.4210665814159, 70783.16592514096)
 </pre></div></div>
 </div>
 <p>With such a high weight for a single event, this does not look desireable. And be aware of ad-hoc solutions: just clipping or removing weights is completely <strong>wrong</strong> as this would disturb the distribution completely.</p>
@@ -1187,7 +1178,7 @@ <h2>Folding reweighter<a class="headerlink" href="#Folding-reweighter" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  hSPD  =  0.30650047651487633
+KS over  hSPD  =  0.3084317467632931
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1195,7 +1186,7 @@ <h2>Folding reweighter<a class="headerlink" href="#Folding-reweighter" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_b  =  0.18075189416201726
+KS over  pt_b  =  0.18056620581541943
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1203,7 +1194,7 @@ <h2>Folding reweighter<a class="headerlink" href="#Folding-reweighter" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  pt_phi  =  0.3076657623730652
+KS over  pt_phi  =  0.30784946781561573
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1211,7 +1202,7 @@ <h2>Folding reweighter<a class="headerlink" href="#Folding-reweighter" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  vchi2_b  =  0.2990922524201176
+KS over  vchi2_b  =  0.29837423248072437
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1219,7 +1210,7 @@ <h2>Folding reweighter<a class="headerlink" href="#Folding-reweighter" title="Li
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-KS over  mu_pt_sum  =  0.18075189416201726
+KS over  mu_pt_sum  =  0.18056620581541943
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1258,7 +1249,7 @@ <h2>GB discrimination for reweighting rule<a class="headerlink" href="#GB-discri
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-original 0.9367389979362668
+original 0.9364548464191815
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1266,7 +1257,7 @@ <h2>GB discrimination for reweighting rule<a class="headerlink" href="#GB-discri
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-2-folding 0.8257459844531432
+2-folding 0.8268655662392133
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
diff --git a/advanced-python/45DemoReweighting.ipynb b/advanced-python/45DemoReweighting.ipynb
index f9bfb101..b1c3a553 100644
--- a/advanced-python/45DemoReweighting.ipynb
+++ b/advanced-python/45DemoReweighting.ipynb
@@ -27,10 +27,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:09.146285Z",
-     "iopub.status.busy": "2024-02-06T00:51:09.146127Z",
-     "iopub.status.idle": "2024-02-06T00:51:10.108064Z",
-     "shell.execute_reply": "2024-02-06T00:51:10.107552Z"
+     "iopub.execute_input": "2024-02-14T16:15:38.812426Z",
+     "iopub.status.busy": "2024-02-14T16:15:38.812259Z",
+     "iopub.status.idle": "2024-02-14T16:15:39.765749Z",
+     "shell.execute_reply": "2024-02-14T16:15:39.765205Z"
     }
    },
    "outputs": [
@@ -38,7 +38,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5167/453314117.py:4: DeprecationWarning: \n",
+      "/tmp/ipykernel_5056/453314117.py:4: DeprecationWarning: \n",
       "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
       "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
       "but was not found to be installed on your system.\n",
@@ -71,10 +71,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:51:10.110284Z",
-     "iopub.status.busy": "2024-02-06T00:51:10.110000Z",
-     "iopub.status.idle": "2024-02-06T00:59:19.783428Z",
-     "shell.execute_reply": "2024-02-06T00:59:19.782906Z"
+     "iopub.execute_input": "2024-02-14T16:15:39.767988Z",
+     "iopub.status.busy": "2024-02-14T16:15:39.767663Z",
+     "iopub.status.idle": "2024-02-14T16:20:40.506765Z",
+     "shell.execute_reply": "2024-02-14T16:20:40.506232Z"
     }
    },
    "outputs": [],
@@ -111,10 +111,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:19.785725Z",
-     "iopub.status.busy": "2024-02-06T00:59:19.785432Z",
-     "iopub.status.idle": "2024-02-06T00:59:19.857640Z",
-     "shell.execute_reply": "2024-02-06T00:59:19.857096Z"
+     "iopub.execute_input": "2024-02-14T16:20:40.508910Z",
+     "iopub.status.busy": "2024-02-14T16:20:40.508620Z",
+     "iopub.status.idle": "2024-02-14T16:20:40.578675Z",
+     "shell.execute_reply": "2024-02-14T16:20:40.578140Z"
     }
    },
    "outputs": [],
@@ -135,10 +135,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:19.859902Z",
-     "iopub.status.busy": "2024-02-06T00:59:19.859725Z",
-     "iopub.status.idle": "2024-02-06T00:59:19.864039Z",
-     "shell.execute_reply": "2024-02-06T00:59:19.863640Z"
+     "iopub.execute_input": "2024-02-14T16:20:40.580958Z",
+     "iopub.status.busy": "2024-02-14T16:20:40.580641Z",
+     "iopub.status.idle": "2024-02-14T16:20:40.584653Z",
+     "shell.execute_reply": "2024-02-14T16:20:40.584280Z"
     }
    },
    "outputs": [],
@@ -173,10 +173,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:19.865753Z",
-     "iopub.status.busy": "2024-02-06T00:59:19.865596Z",
-     "iopub.status.idle": "2024-02-06T00:59:19.869443Z",
-     "shell.execute_reply": "2024-02-06T00:59:19.869046Z"
+     "iopub.execute_input": "2024-02-14T16:20:40.586451Z",
+     "iopub.status.busy": "2024-02-14T16:20:40.586144Z",
+     "iopub.status.idle": "2024-02-14T16:20:40.589888Z",
+     "shell.execute_reply": "2024-02-14T16:20:40.589455Z"
     }
    },
    "outputs": [
@@ -201,10 +201,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:19.871000Z",
-     "iopub.status.busy": "2024-02-06T00:59:19.870845Z",
-     "iopub.status.idle": "2024-02-06T00:59:22.729297Z",
-     "shell.execute_reply": "2024-02-06T00:59:22.728828Z"
+     "iopub.execute_input": "2024-02-14T16:20:40.591542Z",
+     "iopub.status.busy": "2024-02-14T16:20:40.591249Z",
+     "iopub.status.idle": "2024-02-14T16:20:43.444842Z",
+     "shell.execute_reply": "2024-02-14T16:20:43.444348Z"
     }
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    "outputs": [
@@ -270,10 +270,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:22.731090Z",
-     "iopub.status.busy": "2024-02-06T00:59:22.730924Z",
-     "iopub.status.idle": "2024-02-06T00:59:25.189273Z",
-     "shell.execute_reply": "2024-02-06T00:59:25.188762Z"
+     "iopub.execute_input": "2024-02-14T16:20:43.446700Z",
+     "iopub.status.busy": "2024-02-14T16:20:43.446536Z",
+     "iopub.status.idle": "2024-02-14T16:20:45.904099Z",
+     "shell.execute_reply": "2024-02-14T16:20:45.903575Z"
     }
    },
    "outputs": [
@@ -281,40 +281,40 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  hSPD  =  0.521532786069641\n"
+      "KS over  hSPD  =  0.5203293432835709\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_b  =  0.21869298507300033\n"
+      "KS over  pt_b  =  0.21319746268492878\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_phi  =  0.40407485572151247\n"
+      "KS over  pt_phi  =  0.4012718109454085\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  vchi2_b  =  0.40315059700877287\n"
+      "KS over  vchi2_b  =  0.40672667661057726\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  mu_pt_sum  =  0.21869298507300033\n"
+      "KS over  mu_pt_sum  =  0.21319746268492878\n"
      ]
     },
     {
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       "text/plain": [
        "<Figure size 1500x700 with 5 Axes>"
       ]
@@ -339,10 +339,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:25.191307Z",
-     "iopub.status.busy": "2024-02-06T00:59:25.190983Z",
-     "iopub.status.idle": "2024-02-06T00:59:26.751473Z",
-     "shell.execute_reply": "2024-02-06T00:59:26.750948Z"
+     "iopub.execute_input": "2024-02-14T16:20:45.906044Z",
+     "iopub.status.busy": "2024-02-14T16:20:45.905872Z",
+     "iopub.status.idle": "2024-02-14T16:20:47.481736Z",
+     "shell.execute_reply": "2024-02-14T16:20:47.481260Z"
     }
    },
    "outputs": [
@@ -350,28 +350,28 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  hSPD  =  0.5181806468942461\n",
-      "KS over  pt_b  =  0.2117249270654996\n"
+      "KS over  hSPD  =  0.5220074695019696\n",
+      "KS over  pt_b  =  0.2273728106693022\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_phi  =  0.39734291550071926\n",
-      "KS over  vchi2_b  =  0.4114962436121\n"
+      "KS over  pt_phi  =  0.4047094187650385\n",
+      "KS over  vchi2_b  =  0.39924409811681316\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  mu_pt_sum  =  0.2117249270654996\n"
+      "KS over  mu_pt_sum  =  0.2273728106693022\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1500x700 with 5 Axes>"
       ]
@@ -411,10 +411,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:26.753436Z",
-     "iopub.status.busy": "2024-02-06T00:59:26.753267Z",
-     "iopub.status.idle": "2024-02-06T00:59:32.859685Z",
-     "shell.execute_reply": "2024-02-06T00:59:32.859222Z"
+     "iopub.execute_input": "2024-02-14T16:20:47.483552Z",
+     "iopub.status.busy": "2024-02-14T16:20:47.483393Z",
+     "iopub.status.idle": "2024-02-14T16:20:53.526077Z",
+     "shell.execute_reply": "2024-02-14T16:20:53.525544Z"
     }
    },
    "outputs": [
@@ -422,28 +422,28 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  hSPD  =  0.40882731291504454\n",
-      "KS over  pt_b  =  0.11370672512099517\n"
+      "KS over  hSPD  =  0.4151142266874527\n",
+      "KS over  pt_b  =  0.12811693815234615\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_phi  =  0.274164933082356\n"
+      "KS over  pt_phi  =  0.2851415251892374\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  vchi2_b  =  0.35385537482401175\n",
-      "KS over  mu_pt_sum  =  0.11370672512099517\n"
+      "KS over  vchi2_b  =  0.3405441740376065\n",
+      "KS over  mu_pt_sum  =  0.12811693815234615\n"
      ]
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1500x700 with 5 Axes>"
       ]
@@ -481,10 +481,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T00:59:32.861632Z",
-     "iopub.status.busy": "2024-02-06T00:59:32.861463Z",
-     "iopub.status.idle": "2024-02-06T01:03:35.279353Z",
-     "shell.execute_reply": "2024-02-06T01:03:35.278829Z"
+     "iopub.execute_input": "2024-02-14T16:20:53.528188Z",
+     "iopub.status.busy": "2024-02-14T16:20:53.527799Z",
+     "iopub.status.idle": "2024-02-14T16:24:52.399381Z",
+     "shell.execute_reply": "2024-02-14T16:24:52.398839Z"
     }
    },
    "outputs": [
@@ -492,28 +492,28 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  hSPD  =  0.056483221287462415\n",
-      "KS over  pt_b  =  0.024794142226322924\n"
+      "KS over  hSPD  =  0.039761029998725106\n",
+      "KS over  pt_b  =  0.024820440604513272\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_phi  =  0.06181648469069534\n",
-      "KS over  vchi2_b  =  0.022084478634007865\n"
+      "KS over  pt_phi  =  0.03945051537810079\n",
+      "KS over  vchi2_b  =  0.03399675496839749\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  mu_pt_sum  =  0.024794142226322924\n"
+      "KS over  mu_pt_sum  =  0.024820440604513272\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1500x700 with 5 Axes>"
       ]
@@ -546,10 +546,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:35.281248Z",
-     "iopub.status.busy": "2024-02-06T01:03:35.281078Z",
-     "iopub.status.idle": "2024-02-06T01:03:35.284581Z",
-     "shell.execute_reply": "2024-02-06T01:03:35.284191Z"
+     "iopub.execute_input": "2024-02-14T16:24:52.401264Z",
+     "iopub.status.busy": "2024-02-14T16:24:52.401079Z",
+     "iopub.status.idle": "2024-02-14T16:24:52.404631Z",
+     "shell.execute_reply": "2024-02-14T16:24:52.404224Z"
     }
    },
    "outputs": [],
@@ -571,10 +571,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:35.286172Z",
-     "iopub.status.busy": "2024-02-06T01:03:35.286016Z",
-     "iopub.status.idle": "2024-02-06T01:03:35.356688Z",
-     "shell.execute_reply": "2024-02-06T01:03:35.356146Z"
+     "iopub.execute_input": "2024-02-14T16:24:52.406224Z",
+     "iopub.status.busy": "2024-02-14T16:24:52.406058Z",
+     "iopub.status.idle": "2024-02-14T16:24:52.475567Z",
+     "shell.execute_reply": "2024-02-14T16:24:52.475104Z"
     }
    },
    "outputs": [
@@ -582,9 +582,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "No reweight   KS: 0.5181806468942461\n",
-      "Bins reweight KS: 0.40882731291504454\n",
-      "GB Reweight   KS: 0.056483221287462415\n"
+      "No reweight   KS: 0.5220074695019696\n",
+      "Bins reweight KS: 0.4151142266874527\n",
+      "GB Reweight   KS: 0.039761029998725106\n"
      ]
     }
    ],
@@ -597,10 +597,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:35.358515Z",
-     "iopub.status.busy": "2024-02-06T01:03:35.358325Z",
-     "iopub.status.idle": "2024-02-06T01:03:35.602279Z",
-     "shell.execute_reply": "2024-02-06T01:03:35.601757Z"
+     "iopub.execute_input": "2024-02-14T16:24:52.477303Z",
+     "iopub.status.busy": "2024-02-14T16:24:52.477135Z",
+     "iopub.status.idle": "2024-02-14T16:24:52.716175Z",
+     "shell.execute_reply": "2024-02-14T16:24:52.715726Z"
     }
    },
    "outputs": [
@@ -608,15 +608,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "No reweight   KS: 0.09583124976705806\n"
+      "No reweight   KS: 0.09372471292683904\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Bins reweight KS: 0.12280756843543553\n",
-      "GB Reweight   KS: 0.05734825029784174\n"
+      "Bins reweight KS: 0.11946396153876429\n",
+      "GB Reweight   KS: 0.027083782348541974\n"
      ]
     }
    ],
@@ -629,10 +629,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:35.604214Z",
-     "iopub.status.busy": "2024-02-06T01:03:35.604043Z",
-     "iopub.status.idle": "2024-02-06T01:03:35.858141Z",
-     "shell.execute_reply": "2024-02-06T01:03:35.857462Z"
+     "iopub.execute_input": "2024-02-14T16:24:52.718014Z",
+     "iopub.status.busy": "2024-02-14T16:24:52.717851Z",
+     "iopub.status.idle": "2024-02-14T16:24:52.957514Z",
+     "shell.execute_reply": "2024-02-14T16:24:52.957045Z"
     }
    },
    "outputs": [
@@ -640,15 +640,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "No reweight   KS: 0.37176657078975295\n"
+      "No reweight   KS: 0.369434339489599\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Bins reweight KS: 0.339807241724008\n",
-      "GB Reweight   KS: 0.03192878543735511\n"
+      "Bins reweight KS: 0.33438061571818684\n",
+      "GB Reweight   KS: 0.025494181256763504\n"
      ]
     }
    ],
@@ -661,10 +661,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:35.860377Z",
-     "iopub.status.busy": "2024-02-06T01:03:35.860201Z",
-     "iopub.status.idle": "2024-02-06T01:03:36.148959Z",
-     "shell.execute_reply": "2024-02-06T01:03:36.148535Z"
+     "iopub.execute_input": "2024-02-14T16:24:52.959285Z",
+     "iopub.status.busy": "2024-02-14T16:24:52.959132Z",
+     "iopub.status.idle": "2024-02-14T16:24:53.201063Z",
+     "shell.execute_reply": "2024-02-14T16:24:53.200591Z"
     }
    },
    "outputs": [
@@ -672,21 +672,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "No reweight   KS: 0.4755599757506862\n"
+      "No reweight   KS: 0.4844283771683202\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Bins reweight KS: 0.37788460332851737\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "GB Reweight   KS: 0.04467073507051755\n"
+      "Bins reweight KS: 0.3885579523094539\n",
+      "GB Reweight   KS: 0.03837999184730735\n"
      ]
     }
    ],
@@ -699,10 +693,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:36.150873Z",
-     "iopub.status.busy": "2024-02-06T01:03:36.150708Z",
-     "iopub.status.idle": "2024-02-06T01:03:36.391049Z",
-     "shell.execute_reply": "2024-02-06T01:03:36.390519Z"
+     "iopub.execute_input": "2024-02-14T16:24:53.202857Z",
+     "iopub.status.busy": "2024-02-14T16:24:53.202702Z",
+     "iopub.status.idle": "2024-02-14T16:24:53.442675Z",
+     "shell.execute_reply": "2024-02-14T16:24:53.442154Z"
     }
    },
    "outputs": [
@@ -710,21 +704,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "No reweight   KS: 0.49324049356537336\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Bins reweight KS: 0.4045896623115322\n"
+      "No reweight   KS: 0.4915998026494926\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "GB Reweight   KS: 0.04795372086978622\n"
+      "Bins reweight KS: 0.4021796320123954\n",
+      "GB Reweight   KS: 0.029117337765006135\n"
      ]
     }
    ],
@@ -750,10 +738,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:36.392890Z",
-     "iopub.status.busy": "2024-02-06T01:03:36.392726Z",
-     "iopub.status.idle": "2024-02-06T01:03:53.798916Z",
-     "shell.execute_reply": "2024-02-06T01:03:53.798361Z"
+     "iopub.execute_input": "2024-02-14T16:24:53.444436Z",
+     "iopub.status.busy": "2024-02-14T16:24:53.444283Z",
+     "iopub.status.idle": "2024-02-14T16:25:10.756225Z",
+     "shell.execute_reply": "2024-02-14T16:25:10.755756Z"
     }
    },
    "outputs": [
@@ -761,21 +749,21 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "original 0.9390359088931497\n"
+      "original 0.9376629710113205\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "bins 0.914814049291749\n"
+      "bins 0.9125274802414471\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "gb_weights 0.5201009709703769\n"
+      "gb_weights 0.5068809081381802\n"
      ]
     }
    ],
@@ -827,10 +815,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:53.800890Z",
-     "iopub.status.busy": "2024-02-06T01:03:53.800565Z",
-     "iopub.status.idle": "2024-02-06T01:03:54.176966Z",
-     "shell.execute_reply": "2024-02-06T01:03:54.176474Z"
+     "iopub.execute_input": "2024-02-14T16:25:10.758243Z",
+     "iopub.status.busy": "2024-02-14T16:25:10.757922Z",
+     "iopub.status.idle": "2024-02-14T16:25:11.146419Z",
+     "shell.execute_reply": "2024-02-14T16:25:11.145896Z"
     }
    },
    "outputs": [
@@ -846,7 +834,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -866,17 +854,17 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:54.178701Z",
-     "iopub.status.busy": "2024-02-06T01:03:54.178548Z",
-     "iopub.status.idle": "2024-02-06T01:03:54.182243Z",
-     "shell.execute_reply": "2024-02-06T01:03:54.181863Z"
+     "iopub.execute_input": "2024-02-14T16:25:11.148208Z",
+     "iopub.status.busy": "2024-02-14T16:25:11.148030Z",
+     "iopub.status.idle": "2024-02-14T16:25:11.151854Z",
+     "shell.execute_reply": "2024-02-14T16:25:11.151475Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(907.1212756418231, 72559.2547546806)"
+       "(490.4210665814159, 70783.16592514096)"
       ]
      },
      "execution_count": 19,
@@ -921,10 +909,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:03:54.183851Z",
-     "iopub.status.busy": "2024-02-06T01:03:54.183709Z",
-     "iopub.status.idle": "2024-02-06T01:08:25.516338Z",
-     "shell.execute_reply": "2024-02-06T01:08:25.515868Z"
+     "iopub.execute_input": "2024-02-14T16:25:11.153722Z",
+     "iopub.status.busy": "2024-02-14T16:25:11.153402Z",
+     "iopub.status.idle": "2024-02-14T16:29:35.174280Z",
+     "shell.execute_reply": "2024-02-14T16:29:35.173777Z"
     }
    },
    "outputs": [
@@ -939,40 +927,40 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  hSPD  =  0.30650047651487633\n"
+      "KS over  hSPD  =  0.3084317467632931\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_b  =  0.18075189416201726\n"
+      "KS over  pt_b  =  0.18056620581541943\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  pt_phi  =  0.3076657623730652\n"
+      "KS over  pt_phi  =  0.30784946781561573\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  vchi2_b  =  0.2990922524201176\n"
+      "KS over  vchi2_b  =  0.29837423248072437\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "KS over  mu_pt_sum  =  0.18075189416201726\n"
+      "KS over  mu_pt_sum  =  0.18056620581541943\n"
      ]
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 1500x700 with 5 Axes>"
       ]
@@ -1010,10 +998,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:08:25.518124Z",
-     "iopub.status.busy": "2024-02-06T01:08:25.517964Z",
-     "iopub.status.idle": "2024-02-06T01:09:24.284858Z",
-     "shell.execute_reply": "2024-02-06T01:09:24.284385Z"
+     "iopub.execute_input": "2024-02-14T16:29:35.176482Z",
+     "iopub.status.busy": "2024-02-14T16:29:35.176094Z",
+     "iopub.status.idle": "2024-02-14T16:30:34.072663Z",
+     "shell.execute_reply": "2024-02-14T16:30:34.072115Z"
     }
    },
    "outputs": [
@@ -1021,14 +1009,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "original 0.9367389979362668\n"
+      "original 0.9364548464191815\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2-folding 0.8257459844531432\n"
+      "2-folding 0.8268655662392133\n"
      ]
     }
    ],
@@ -1054,10 +1042,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:24.286829Z",
-     "iopub.status.busy": "2024-02-06T01:09:24.286513Z",
-     "iopub.status.idle": "2024-02-06T01:09:24.658615Z",
-     "shell.execute_reply": "2024-02-06T01:09:24.658090Z"
+     "iopub.execute_input": "2024-02-14T16:30:34.074815Z",
+     "iopub.status.busy": "2024-02-14T16:30:34.074422Z",
+     "iopub.status.idle": "2024-02-14T16:30:34.438560Z",
+     "shell.execute_reply": "2024-02-14T16:30:34.438021Z"
     }
    },
    "outputs": [
@@ -1073,7 +1061,7 @@
     },
     {
      "data": {
-      "image/png": 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+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
diff --git a/advanced-python/50LikelihoodInference.html b/advanced-python/50LikelihoodInference.html
index 126379a8..6e74a9d3 100644
--- a/advanced-python/50LikelihoodInference.html
+++ b/advanced-python/50LikelihoodInference.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -719,7 +724,7 @@ <h2>Loss<a class="headerlink" href="#Loss" title="Link to this heading"></a><
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 <span class="ansi-bold">FitResult</span> of
-&lt;UnbinnedNLL model=[&lt;zfit.&lt;class &#39;zfit.models.dist_tfp.Gauss&#39;&gt;  params=[mu, sigma]] data=[&lt;zfit.core.data.Data object at 0x7f880f943150&gt;] constraints=[]&gt;
+&lt;UnbinnedNLL model=[&lt;zfit.&lt;class &#39;zfit.models.dist_tfp.Gauss&#39;&gt;  params=[mu, sigma]] data=[&lt;zfit.core.data.Data object at 0x7fd10d606b50&gt;] constraints=[]&gt;
 with
 &lt;Minuit Minuit tol=0.001&gt;
 
@@ -778,23 +783,23 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 <span class="ansi-bold">FitResult</span> of
-&lt;ExtendedUnbinnedNLL model=[&lt;zfit.&lt;class &#39;zfit.models.functor.SumPDF&#39;&gt;  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[&lt;zfit.core.data.Data object at 0x7f880de43150&gt;] constraints=[]&gt;
+&lt;ExtendedUnbinnedNLL model=[&lt;zfit.&lt;class &#39;zfit.models.functor.SumPDF&#39;&gt;  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[&lt;zfit.core.data.Data object at 0x7fd10d5e0ed0&gt;] constraints=[]&gt;
 with
 &lt;Minuit Minuit tol=0.001&gt;
 
-╒═════════╤═════════════╤══════════════════╤═══════╤══════════════════════════════════╕
-│  valid  │  converged  │  param at limit  │  edm  │   approx. fmin (full | internal) │
-╞═════════╪═════════════╪══════════════════╪═══════╪══════════════════════════════════╡
-│  <span class="ansi-green-intense-bg">True</span>   │    True     │      False       │ 6e-05 │             -2379.99 |  9786.977 │
-╘═════════╧═════════════╧══════════════════╧═══════╧══════════════════════════════════╛
+╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕
+│  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │
+╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡
+│  <span class="ansi-green-intense-bg">True</span>   │    True     │      False       │ 3.4e-06 │             -2350.89 |  9808.028 │
+╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛
 
 <span class="ansi-bold">Parameters
 </span>name         value  (rounded)    at limit
 ---------  ------------------  ----------
-bkg_yield             6004.78       False
-sig_yield             157.381       False
-lambda               -1.15861       False
-mu                    3.10385       False
+bkg_yield             6037.18       False
+sig_yield             139.841       False
+lambda               -1.03434       False
+mu                    3.09003       False
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -850,13 +855,13 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="output_area docutils container">
 <div class="highlight"><pre>
  of
-&lt;ExtendedUnbinnedNLL model=[&lt;zfit.&lt;class &#39;zfit.models.functor.SumPDF&#39;&gt;  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[&lt;zfit.core.data.Data object at 0x7f880de43150&gt;] constraints=[]&gt;
+&lt;ExtendedUnbinnedNLL model=[&lt;zfit.&lt;class &#39;zfit.models.functor.SumPDF&#39;&gt;  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[&lt;zfit.core.data.Data object at 0x7fd10d5e0ed0&gt;] constraints=[]&gt;
 with
 &lt;Minuit Minuit tol=0.001&gt;
 
-╒═════════╤═════════════╤══════════════════╤═══════╤══════════════════════════════════╕
-│  valid  │  converged  │  param at limit  │  edm  │   approx. fmin (full | internal) │
-╞═════════╪═════════════╪══════════════════╪═══════╪══════════════════════════════════╡
+╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕
+│  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │
+╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡
 │
 </pre></div></div>
 </div>
@@ -889,8 +894,8 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-       │ 6e-05 │             -2379.99 |  9786.977 │
-╘═════════╧═════════════╧══════════════════╧═══════╧══════════════════════════════════╛
+       │ 3.4e-06 │             -2350.89 |  9808.028 │
+╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛
 
 </pre></div></div>
 </div>
@@ -909,7 +914,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="highlight"><pre>
 name         value  (rounded)        hesse               errors         minuit_minos    at limit
 ---------  ------------------  -----------  -------------------  -------------------  ----------
-bkg_yield             6004.78  +/-      81  -     81   +     81  -     81   +     81       False
+bkg_yield             6037.18  +/-      81  -     81   +     81  -     81   +     81       False
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -918,7 +923,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-sig_yield             157.381  +/-      26  -     26   +     27  -     26   +     27       False
+sig_yield             139.841  +/-      26  -     26   +     26  -     26   +     26       False
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -927,7 +932,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-lambda               -1.15861  +/-   0.065  -  0.065   +  0.065  -  0.065   +  0.065       False
+lambda               -1.03434  +/-   0.065  -  0.065   +  0.064  -  0.065   +  0.064       False
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -936,7 +941,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-mu                    3.10385  +/-  0.0035  - 0.0036   + 0.0034  - 0.0036   + 0.0034       False
+mu                    3.09003  +/-  0.0033  - 0.0034   + 0.0033  - 0.0034   + 0.0033       False
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1016,7 +1021,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-p_value for the Null hypothesis = 2.6984747769631667e-11
+p_value for the Null hypothesis = 2.3490038802975732e-09
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1032,7 +1037,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Significance (in units of sigma) = 6.559552486475989
+Significance (in units of sigma) = 5.857530422707143
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1049,7 +1054,7 @@ <h3>Fixing parameters<a class="headerlink" href="#Fixing-parameters" title="Link
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-(2.6984747769631667e-11, 6.559552486475989)
+(2.3490038802975732e-09, 5.857530422707143)
 </pre></div></div>
 </div>
 <p><strong>Exercise</strong> play around! First things first: repeat the fit. The difference we will see is statistical fluctuation from the resampling of the data; we take only a fraction at random.</p>
diff --git a/advanced-python/50LikelihoodInference.ipynb b/advanced-python/50LikelihoodInference.ipynb
index 22742ebe..3e693395 100644
--- a/advanced-python/50LikelihoodInference.ipynb
+++ b/advanced-python/50LikelihoodInference.ipynb
@@ -43,10 +43,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:26.613082Z",
-     "iopub.status.busy": "2024-02-06T01:09:26.612915Z",
-     "iopub.status.idle": "2024-02-06T01:09:27.330625Z",
-     "shell.execute_reply": "2024-02-06T01:09:27.330077Z"
+     "iopub.execute_input": "2024-02-14T16:30:36.344579Z",
+     "iopub.status.busy": "2024-02-14T16:30:36.344419Z",
+     "iopub.status.idle": "2024-02-14T16:30:37.066536Z",
+     "shell.execute_reply": "2024-02-14T16:30:37.065980Z"
     }
    },
    "outputs": [],
@@ -61,10 +61,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:27.333024Z",
-     "iopub.status.busy": "2024-02-06T01:09:27.332629Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.389732Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.389173Z"
+     "iopub.execute_input": "2024-02-14T16:30:37.068820Z",
+     "iopub.status.busy": "2024-02-14T16:30:37.068594Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.199439Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.198868Z"
     }
    },
    "outputs": [
@@ -90,10 +90,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.392205Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.391843Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.430462Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.429870Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.201806Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.201427Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.239069Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.238654Z"
     }
    },
    "outputs": [],
@@ -120,10 +120,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.432788Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.432600Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.449608Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.449098Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.240968Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.240795Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.257315Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.256904Z"
     }
    },
    "outputs": [],
@@ -136,10 +136,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.451933Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.451392Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.453874Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.453487Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.259078Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.258913Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.261099Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.260721Z"
     }
    },
    "outputs": [],
@@ -155,10 +155,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.455746Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.455426Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.515437Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.514978Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.262883Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.262578Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.321956Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.321368Z"
     }
    },
    "outputs": [],
@@ -183,10 +183,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.517681Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.517348Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.545697Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.545287Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.323997Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.323823Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.351935Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.351516Z"
     }
    },
    "outputs": [],
@@ -204,10 +204,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.547735Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.547407Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.550884Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.550504Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.353819Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.353469Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.356466Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.356058Z"
     }
    },
    "outputs": [],
@@ -221,10 +221,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.552492Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.552342Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.555161Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.554727Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.358179Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.357890Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.360832Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.360320Z"
     }
    },
    "outputs": [],
@@ -238,10 +238,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.556809Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.556643Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.561768Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.561391Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.362511Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.362347Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.367448Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.367043Z"
     }
    },
    "outputs": [],
@@ -263,10 +263,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.563442Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.563281Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.568544Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.568142Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.369120Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.368952Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.374212Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.373805Z"
     }
    },
    "outputs": [],
@@ -306,10 +306,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.570142Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.569981Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.838700Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.838145Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.375808Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.375650Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.644729Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.644164Z"
     }
    },
    "outputs": [
@@ -325,7 +325,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -352,10 +352,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.840559Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.840401Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.992154Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.991623Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.646669Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.646482Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.800810Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.800301Z"
     }
    },
    "outputs": [
@@ -385,10 +385,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.994400Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.993935Z",
-     "iopub.status.idle": "2024-02-06T01:09:30.996698Z",
-     "shell.execute_reply": "2024-02-06T01:09:30.996289Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.802823Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.802457Z",
+     "iopub.status.idle": "2024-02-14T16:30:40.804928Z",
+     "shell.execute_reply": "2024-02-14T16:30:40.804550Z"
     }
    },
    "outputs": [],
@@ -403,10 +403,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:30.998307Z",
-     "iopub.status.busy": "2024-02-06T01:09:30.998145Z",
-     "iopub.status.idle": "2024-02-06T01:09:31.475825Z",
-     "shell.execute_reply": "2024-02-06T01:09:31.475348Z"
+     "iopub.execute_input": "2024-02-14T16:30:40.806579Z",
+     "iopub.status.busy": "2024-02-14T16:30:40.806421Z",
+     "iopub.status.idle": "2024-02-14T16:30:41.280937Z",
+     "shell.execute_reply": "2024-02-14T16:30:41.280493Z"
     }
    },
    "outputs": [
@@ -414,7 +414,7 @@
      "data": {
       "text/plain": [
        "\u001b[1mFitResult\u001b[22m of\n",
-       "<UnbinnedNLL model=[<zfit.<class 'zfit.models.dist_tfp.Gauss'>  params=[mu, sigma]] data=[<zfit.core.data.Data object at 0x7f880f943150>] constraints=[]> \n",
+       "<UnbinnedNLL model=[<zfit.<class 'zfit.models.dist_tfp.Gauss'>  params=[mu, sigma]] data=[<zfit.core.data.Data object at 0x7fd10d606b50>] constraints=[]> \n",
        "with\n",
        "<Minuit Minuit tol=0.001>\n",
        "\n",
@@ -454,10 +454,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:31.477888Z",
-     "iopub.status.busy": "2024-02-06T01:09:31.477559Z",
-     "iopub.status.idle": "2024-02-06T01:09:31.479918Z",
-     "shell.execute_reply": "2024-02-06T01:09:31.479533Z"
+     "iopub.execute_input": "2024-02-14T16:30:41.282811Z",
+     "iopub.status.busy": "2024-02-14T16:30:41.282645Z",
+     "iopub.status.idle": "2024-02-14T16:30:41.285184Z",
+     "shell.execute_reply": "2024-02-14T16:30:41.284685Z"
     }
    },
    "outputs": [],
@@ -470,10 +470,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:31.481544Z",
-     "iopub.status.busy": "2024-02-06T01:09:31.481396Z",
-     "iopub.status.idle": "2024-02-06T01:09:31.780879Z",
-     "shell.execute_reply": "2024-02-06T01:09:31.780422Z"
+     "iopub.execute_input": "2024-02-14T16:30:41.287170Z",
+     "iopub.status.busy": "2024-02-14T16:30:41.286794Z",
+     "iopub.status.idle": "2024-02-14T16:30:41.589763Z",
+     "shell.execute_reply": "2024-02-14T16:30:41.589150Z"
     }
    },
    "outputs": [],
@@ -486,10 +486,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:31.783156Z",
-     "iopub.status.busy": "2024-02-06T01:09:31.782816Z",
-     "iopub.status.idle": "2024-02-06T01:09:32.263439Z",
-     "shell.execute_reply": "2024-02-06T01:09:32.262867Z"
+     "iopub.execute_input": "2024-02-14T16:30:41.592062Z",
+     "iopub.status.busy": "2024-02-14T16:30:41.591893Z",
+     "iopub.status.idle": "2024-02-14T16:30:42.078658Z",
+     "shell.execute_reply": "2024-02-14T16:30:42.078161Z"
     }
    },
    "outputs": [],
@@ -502,10 +502,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:32.265566Z",
-     "iopub.status.busy": "2024-02-06T01:09:32.265402Z",
-     "iopub.status.idle": "2024-02-06T01:09:32.274957Z",
-     "shell.execute_reply": "2024-02-06T01:09:32.274569Z"
+     "iopub.execute_input": "2024-02-14T16:30:42.080930Z",
+     "iopub.status.busy": "2024-02-14T16:30:42.080585Z",
+     "iopub.status.idle": "2024-02-14T16:30:42.090549Z",
+     "shell.execute_reply": "2024-02-14T16:30:42.090145Z"
     }
    },
    "outputs": [
@@ -513,23 +513,23 @@
      "data": {
       "text/plain": [
        "\u001b[1mFitResult\u001b[22m of\n",
-       "<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7f880de43150>] constraints=[]> \n",
+       "<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7fd10d5e0ed0>] constraints=[]> \n",
        "with\n",
        "<Minuit Minuit tol=0.001>\n",
        "\n",
-       "╒═════════╤═════════════╤══════════════════╤═══════╤══════════════════════════════════╕\n",
-       "│  valid  │  converged  │  param at limit  │  edm  │   approx. fmin (full | internal) │\n",
-       "╞═════════╪═════════════╪══════════════════╪═══════╪══════════════════════════════════╡\n",
-       "│  \u001b[48;5;10mTrue\u001b[0m   │    True\u001b[0m     │      False\u001b[0m       │ 6e-05 │             -2379.99 |  9786.977 │\n",
-       "╘═════════╧═════════════╧══════════════════╧═══════╧══════════════════════════════════╛\n",
+       "╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕\n",
+       "│  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │\n",
+       "╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡\n",
+       "│  \u001b[48;5;10mTrue\u001b[0m   │    True\u001b[0m     │      False\u001b[0m       │ 3.4e-06 │             -2350.89 |  9808.028 │\n",
+       "╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛\n",
        "\n",
        "\u001b[1mParameters\n",
        "\u001b[22mname         value  (rounded)    at limit\n",
        "---------  ------------------  ----------\n",
-       "bkg_yield             6004.78       False\u001b[0m\n",
-       "sig_yield             157.381       False\u001b[0m\n",
-       "lambda               -1.15861       False\u001b[0m\n",
-       "mu                    3.10385       False\u001b[0m"
+       "bkg_yield             6037.18       False\u001b[0m\n",
+       "sig_yield             139.841       False\u001b[0m\n",
+       "lambda               -1.03434       False\u001b[0m\n",
+       "mu                    3.09003       False\u001b[0m"
       ]
      },
      "execution_count": 19,
@@ -546,10 +546,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:32.276613Z",
-     "iopub.status.busy": "2024-02-06T01:09:32.276449Z",
-     "iopub.status.idle": "2024-02-06T01:09:33.060298Z",
-     "shell.execute_reply": "2024-02-06T01:09:33.059792Z"
+     "iopub.execute_input": "2024-02-14T16:30:42.092364Z",
+     "iopub.status.busy": "2024-02-14T16:30:42.092052Z",
+     "iopub.status.idle": "2024-02-14T16:30:42.804681Z",
+     "shell.execute_reply": "2024-02-14T16:30:42.804136Z"
     }
    },
    "outputs": [
@@ -591,13 +591,13 @@
      "output_type": "stream",
      "text": [
       " of\n",
-      "<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7f880de43150>] constraints=[]> \n",
+      "<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7fd10d5e0ed0>] constraints=[]> \n",
       "with\n",
       "<Minuit Minuit tol=0.001>\n",
       "\n",
-      "╒═════════╤═════════════╤══════════════════╤═══════╤══════════════════════════════════╕\n",
-      "│  valid  │  converged  │  param at limit  │  edm  │   approx. fmin (full | internal) │\n",
-      "╞═════════╪═════════════╪══════════════════╪═══════╪══════════════════════════════════╡\n",
+      "╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕\n",
+      "│  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │\n",
+      "╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡\n",
       "│  "
      ]
     },
@@ -626,8 +626,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "       │ 6e-05 │             -2379.99 |  9786.977 │\n",
-      "╘═════════╧═════════════╧══════════════════╧═══════╧══════════════════════════════════╛\n",
+      "       │ 3.4e-06 │             -2350.89 |  9808.028 │\n",
+      "╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛\n",
       "\n"
      ]
     },
@@ -644,7 +644,7 @@
      "text": [
       "name         value  (rounded)        hesse               errors         minuit_minos    at limit\n",
       "---------  ------------------  -----------  -------------------  -------------------  ----------\n",
-      "bkg_yield             6004.78  +/-      81  -     81   +     81  -     81   +     81       False"
+      "bkg_yield             6037.18  +/-      81  -     81   +     81  -     81   +     81       False"
      ]
     },
     {
@@ -652,7 +652,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "sig_yield             157.381  +/-      26  -     26   +     27  -     26   +     27       False"
+      "sig_yield             139.841  +/-      26  -     26   +     26  -     26   +     26       False"
      ]
     },
     {
@@ -660,7 +660,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "lambda               -1.15861  +/-   0.065  -  0.065   +  0.065  -  0.065   +  0.065       False"
+      "lambda               -1.03434  +/-   0.065  -  0.065   +  0.064  -  0.065   +  0.064       False"
      ]
     },
     {
@@ -668,7 +668,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "mu                    3.10385  +/-  0.0035  - 0.0036   + 0.0034  - 0.0036   + 0.0034       False"
+      "mu                    3.09003  +/-  0.0033  - 0.0034   + 0.0033  - 0.0034   + 0.0033       False"
      ]
     },
     {
@@ -690,10 +690,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:33.062250Z",
-     "iopub.status.busy": "2024-02-06T01:09:33.061975Z",
-     "iopub.status.idle": "2024-02-06T01:09:33.250616Z",
-     "shell.execute_reply": "2024-02-06T01:09:33.250158Z"
+     "iopub.execute_input": "2024-02-14T16:30:42.806816Z",
+     "iopub.status.busy": "2024-02-14T16:30:42.806539Z",
+     "iopub.status.idle": "2024-02-14T16:30:42.993118Z",
+     "shell.execute_reply": "2024-02-14T16:30:42.992602Z"
     }
    },
    "outputs": [
@@ -709,7 +709,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -734,10 +734,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:33.252592Z",
-     "iopub.status.busy": "2024-02-06T01:09:33.252209Z",
-     "iopub.status.idle": "2024-02-06T01:09:33.337735Z",
-     "shell.execute_reply": "2024-02-06T01:09:33.337298Z"
+     "iopub.execute_input": "2024-02-14T16:30:42.995289Z",
+     "iopub.status.busy": "2024-02-14T16:30:42.994843Z",
+     "iopub.status.idle": "2024-02-14T16:30:43.080747Z",
+     "shell.execute_reply": "2024-02-14T16:30:43.080232Z"
     }
    },
    "outputs": [
@@ -777,10 +777,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:33.339988Z",
-     "iopub.status.busy": "2024-02-06T01:09:33.339587Z",
-     "iopub.status.idle": "2024-02-06T01:09:34.165123Z",
-     "shell.execute_reply": "2024-02-06T01:09:34.164705Z"
+     "iopub.execute_input": "2024-02-14T16:30:43.082988Z",
+     "iopub.status.busy": "2024-02-14T16:30:43.082683Z",
+     "iopub.status.idle": "2024-02-14T16:30:43.908387Z",
+     "shell.execute_reply": "2024-02-14T16:30:43.907876Z"
     }
    },
    "outputs": [
@@ -789,7 +789,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "p_value for the Null hypothesis = 2.6984747769631667e-11"
+      "p_value for the Null hypothesis = 2.3490038802975732e-09"
      ]
     },
     {
@@ -803,7 +803,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Significance (in units of sigma) = 6.559552486475989"
+      "Significance (in units of sigma) = 5.857530422707143"
      ]
     },
     {
@@ -816,7 +816,7 @@
     {
      "data": {
       "text/plain": [
-       "(2.6984747769631667e-11, 6.559552486475989)"
+       "(2.3490038802975732e-09, 5.857530422707143)"
       ]
      },
      "execution_count": 23,
diff --git a/advanced-python/60sPlot.html b/advanced-python/60sPlot.html
index 8a090f7c..105cd929 100644
--- a/advanced-python/60sPlot.html
+++ b/advanced-python/60sPlot.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -530,7 +535,7 @@ <h2>Simple sPlot example<a class="headerlink" href="#Simple-sPlot-example" title
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7ff6685b0490&gt;
+&lt;matplotlib.legend.Legend at 0x7fe5212aead0&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -791,7 +796,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 <div class="highlight"><pre>
 name         value  (rounded)    at limit
 ---------  ------------------  ----------
-bkg_yield              118233       False
+bkg_yield              118246       False
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -800,7 +805,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-sig_yield             20032.7       False
+sig_yield             19914.4       False
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -809,7 +814,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-lambda            -0.00197586       False
+lambda            -0.00200378       False
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -818,7 +823,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 
-mu                    5278.98       False
+mu                    5279.22       False
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -916,9 +921,9 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-{&lt;zfit.Parameter &#39;bkg_yield&#39; floating=True value=1.182e+05&gt;: array([0.74522237, 0.17454325, 0.07409398, ..., 1.12220893, 1.12220893,
-       1.12220893]), &lt;zfit.Parameter &#39;sig_yield&#39; floating=True value=2.003e+04&gt;: array([ 0.25477958,  0.8254534 ,  0.92590173, ..., -0.12220347,
-       -0.12220347, -0.12220347])}
+{&lt;zfit.Parameter &#39;bkg_yield&#39; floating=True value=1.182e+05&gt;: array([-0.1808342 , -0.15203948, -0.18140206, ...,  1.12226197,
+        1.12225941,  1.12226197]), &lt;zfit.Parameter &#39;sig_yield&#39; floating=True value=1.991e+04&gt;: array([ 1.18083047,  1.152036  ,  1.18139833, ..., -0.12225419,
+       -0.12225163, -0.12225419])}
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -959,7 +964,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-20032.647966127202
+19914.427622395393
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -991,7 +996,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-118232.76333840188
+118246.3219948369
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1048,7 +1053,7 @@ <h2>Splot<a class="headerlink" href="#Splot" title="Link to this heading"></a
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Correlation between m and t: 0.03522752374174872
+Correlation between m and t: 0.03262544915391235
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1192,7 +1197,7 @@ <h3>We have no information about real labels<a class="headerlink" href="#We-have
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.legend.Legend at 0x7ff65c899990&gt;
+&lt;matplotlib.legend.Legend at 0x7fe51340cf50&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -1236,7 +1241,7 @@ <h2>Fitting doesn’t give us information about real labels<a class="headerlink"
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 ((0.0, 10.0),
- &lt;matplotlib.legend.Legend at 0x7ff65c8b4690&gt;,
+ &lt;matplotlib.legend.Legend at 0x7fe5132c9d10&gt;,
  Text(0.5, 0, &#39;mass&#39;))
 </pre></div></div>
 </div>
@@ -1328,7 +1333,7 @@ <h2>An important requirement of sPlot<a class="headerlink" href="#An-important-r
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
--0.34344490966851315
+-0.3296672942654562
 </pre></div></div>
 </div>
 <p>But within each class there is no correlation, so the requirement is satisfied:</p>
@@ -1346,7 +1351,7 @@ <h2>An important requirement of sPlot<a class="headerlink" href="#An-important-r
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-0.01243138520386182
+-0.00029086405620798455
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
@@ -1362,7 +1367,7 @@ <h2>An important requirement of sPlot<a class="headerlink" href="#An-important-r
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
--0.011348832943694522
+0.006422547032870158
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
diff --git a/advanced-python/60sPlot.ipynb b/advanced-python/60sPlot.ipynb
index 4a37ef27..7ee72a61 100644
--- a/advanced-python/60sPlot.ipynb
+++ b/advanced-python/60sPlot.ipynb
@@ -17,10 +17,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:36.477270Z",
-     "iopub.status.busy": "2024-02-06T01:09:36.477113Z",
-     "iopub.status.idle": "2024-02-06T01:09:39.547698Z",
-     "shell.execute_reply": "2024-02-06T01:09:39.547189Z"
+     "iopub.execute_input": "2024-02-14T16:30:46.257273Z",
+     "iopub.status.busy": "2024-02-14T16:30:46.257109Z",
+     "iopub.status.idle": "2024-02-14T16:30:49.360680Z",
+     "shell.execute_reply": "2024-02-14T16:30:49.360168Z"
     }
    },
    "outputs": [
@@ -45,10 +45,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:39.550114Z",
-     "iopub.status.busy": "2024-02-06T01:09:39.549542Z",
-     "iopub.status.idle": "2024-02-06T01:09:39.553033Z",
-     "shell.execute_reply": "2024-02-06T01:09:39.552574Z"
+     "iopub.execute_input": "2024-02-14T16:30:49.363474Z",
+     "iopub.status.busy": "2024-02-14T16:30:49.362724Z",
+     "iopub.status.idle": "2024-02-14T16:30:49.366378Z",
+     "shell.execute_reply": "2024-02-14T16:30:49.365996Z"
     }
    },
    "outputs": [],
@@ -75,17 +75,17 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:39.554662Z",
-     "iopub.status.busy": "2024-02-06T01:09:39.554499Z",
-     "iopub.status.idle": "2024-02-06T01:09:39.927856Z",
-     "shell.execute_reply": "2024-02-06T01:09:39.927342Z"
+     "iopub.execute_input": "2024-02-14T16:30:49.368228Z",
+     "iopub.status.busy": "2024-02-14T16:30:49.367911Z",
+     "iopub.status.idle": "2024-02-14T16:30:49.748514Z",
+     "shell.execute_reply": "2024-02-14T16:30:49.748068Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7ff6685b0490>"
+       "<matplotlib.legend.Legend at 0x7fe5212aead0>"
       ]
      },
      "execution_count": 3,
@@ -94,7 +94,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -130,10 +130,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:39.929799Z",
-     "iopub.status.busy": "2024-02-06T01:09:39.929628Z",
-     "iopub.status.idle": "2024-02-06T01:09:39.932920Z",
-     "shell.execute_reply": "2024-02-06T01:09:39.932526Z"
+     "iopub.execute_input": "2024-02-14T16:30:49.750515Z",
+     "iopub.status.busy": "2024-02-14T16:30:49.750166Z",
+     "iopub.status.idle": "2024-02-14T16:30:49.753281Z",
+     "shell.execute_reply": "2024-02-14T16:30:49.752876Z"
     }
    },
    "outputs": [],
@@ -149,16 +149,16 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:39.934534Z",
-     "iopub.status.busy": "2024-02-06T01:09:39.934347Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.173395Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.172888Z"
+     "iopub.execute_input": "2024-02-14T16:30:49.755063Z",
+     "iopub.status.busy": "2024-02-14T16:30:49.754746Z",
+     "iopub.status.idle": "2024-02-14T16:30:49.996122Z",
+     "shell.execute_reply": "2024-02-14T16:30:49.995557Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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Px3/zHFi1atVSWFiYVq9efcvHc7Pg4GBVr149wzGmf73Xrl2riIiIDCPTnnvuuRyP4fLly1q7dq3atGmT5zmmLl68qAEDBqh06dJycnKSk5OTChQooEuXLmnPnj3WdjmdZ39/f5UqVUrvv/++xo4dq61bt2a4lPB2XLlyRatWrdJTTz0lDw8Pm9eiSZMmunLlin7//XdJ0urVq1W+fHk98sgjNn20a9cuV/u6du2aRo4cqYcfflguLi5ycnKSi4uL/vnnnwznZPv27erevbuWLVum8+fP59vxAgBwpxiGkeW6SpUqycXFRS+99JLmzJmT6XQEuZGX79pZ/R9+/vx5bdmy5Zb2n1t5/R0is++w0v9PNVK6dGn5+flpwIAB+vjjj7V7924TqweQE4Kn+8Bnn32mjRs3auvWrTpx4oR27Nih2rVr27Tx8PCwXiKV5syZMwoODs5wjXdgYKCcnJwyXDIVHBycYd9py9LanjlzJtM7i4WGhtq0S3O7dyE7c+aMnJycMvzSb7FYFBwcnGF/AQEBGfpwdXXNMTTJ67nKjVOnTkmSHn30UTk7O9s8FixYYDNvU+PGjRUSEqJZs2ZJujE/0qJFi/T888/L0dHRpr/WrVtn6G/06NEyDENnz561qeHm85F2WVhuQqQJEyZowIAB+v7771WvXj35+/urZcuW+ueff3J1/Fm9n9LO5a0cz81y83qfOXMmQ0grKdNlN0tISFBqauotTdDZrl07TZo0SV27dtWyZcv0559/auPGjSpUqJBNfTmdZ4vFolWrVqlRo0YaM2aMqlSpokKFCql37975MpT8zJkzunbtmiZOnJjhdWjSpIkkWd+raT8nN8tsWWb69u2rt956Sy1bttTixYv1xx9/aOPGjXrkkUdszsmgQYP0wQcf6Pfff1fjxo0VEBCg6Ohobdq06baPFwCAO+HSpUs6c+aM9TvyzUqVKqWVK1cqMDBQPXr0UKlSpVSqVKk8z2eYl+/aufmub5a8/g6R03dYHx8frV27VpUqVdKbb76p8uXLKzQ0VEOHDtXVq1fNOAQA2WCOp/tAuXLlbO6WkZnMJhAMCAjQH3/8IcMwbNbHx8fr2rVr1jlm0sTFxWXoI21Z2od/QEBApnPEnDhxQpIy9JnTXexyEhAQoGvXrun06dM24ZNhGIqLi9Ojjz56W/2n309ezlVupG3zzTffKCwsLNu2jo6O6tChgyZMmKBz585p3rx5Sk5OVufOnTP0N3HixCzvFJKbMCW3PD09NWzYMA0bNkynTp2yjspp3ry5/vrrrxy3z+r9VLp0aUl37ngCAgKsIVdO9d3M399fjo6OeZ6kMjExUT/88IOGDh2qgQMHWpcnJydnCNNyc57DwsI0c+ZMSdLff/+tr776SjExMUpJSdHHH3+cp9pu5ufnZ33/9ejRI9M2JUqUkHTjXGb3OZGTtDm9Ro4cabP833//tc77JUlOTk7q27ev+vbtq3PnzmnlypV688031ahRIx09evSuu2MnAAA3+/HHH5Wammq98Udm6tatq7p16yo1NVWbNm3SxIkT1adPHwUFBalt27a52k9evmvn5ru+m5ubJGW4gUr6P5jeirz+DpEbFSpU0Pz582UYhnbs2KHZs2dr+PDhcnd3t/n+BcB8jHh6gEVHR+vixYv6/vvvbZZ/9tln1vXprVq1yuYX9NTUVC1YsEClSpWyjviIjo7Wzz//bP1PIn2fHh4eubp1al5G3aTVOHfuXJvl3377rS5dupTj5NO5lddzlRuNGjWSk5OT9u/fr2rVqmX6SK9z5866cuWKvvzyS82ePVs1a9ZU2bJlretr164tX19f7d69O8v+XFxc8lxnbkaEBQUFqVOnTnruuee0d+9eXb58Ocd+0yZfT7N+/XodPnzY+gXMrOO5WWRkpGJjYzMMwc7sjo03c3d3V2RkpL7++us8feGyWCwyDCPDxOMzZsxQampqltvl5jw/9NBDGjJkiCpUqJAvw+I9PDxUr149bd26VRUrVsz0dUj7MlqvXj3t2rVL27dvt+lj3rx5udqXxWLJcE5+/PFHHT9+PMttfH191bp1a/Xo0UNnz57NcJcdAADuNkeOHFG/fv3k4+Ojbt265dje0dFRNWrUsN5NNu3/97x8Z86NrP4P9/Lyst7wJ+3u0jt27LBpt2jRogz95eY7ZJr8+B0iKxaLRY888ojGjRsnX19f0y8bBJARI54eYM8//7wmT56sjh076tChQ6pQoYLWrVunkSNHqkmTJqpfv75N+4IFC+qJJ57QW2+9Zb2r3V9//WXzC/rQoUP1ww8/qF69enr77bfl7++vL774Qj/++KPGjBkjHx+fHOuKiIiQJE2bNk1eXl5yc3NTiRIlMr1sqkGDBmrUqJEGDBig8+fPq3bt2ta72lWuXFkdOnS4zbN0Q17PVW4UL15cw4cP1+DBg3XgwAE9+eST8vPz06lTp/Tnn39aR7qkKVu2rGrWrKlRo0bp6NGjmjZtmk1/BQoU0MSJE9WxY0edPXtWrVu3VmBgoE6fPq3t27fr9OnTmjp1ap7rrFChgtasWaPFixcrJCREXl5eKlOmjGrUqKFmzZqpYsWK8vPz0549e/T555+rZs2auRpxsmnTJnXt2lXPPPOMjh49qsGDB6tw4cLq3r27qcdzsz59+ujTTz9V48aNNXz4cAUFBWnevHnW0UQODtnn82PHjlWdOnVUo0YNDRw4UKVLl9apU6e0aNEiffLJJ/Ly8sqwjbe3tx5//HG9//77KliwoIoXL661a9dq5syZNiN7JOV4nnfs2KGePXvqmWeeUXh4uFxcXPTzzz9rx44d+fbXvI8++kh16tRR3bp19corr6h48eK6cOGC9u3bp8WLF1vnWks7l02bNtWIESOsd7XLzQg4SWrWrJlmz56tsmXLqmLFitq8ebPef//9DJcyNm/eXBEREapWrZoKFSqkw4cPa/z48QoLC1N4eHi+HDMAAPkhNjbWOjdifHy8fv31V82aNUuOjo5auHBhlnNEfvzxx/r555/VtGlTFStWTFeuXLHedTjte6eXl5fCwsL03//+V9HR0fL397d+r7gVoaGhatGihWJiYhQSEqK5c+dqxYoVGj16tPW73aOPPqoyZcqoX79+unbtmvz8/LRw4UKtW7cuQ38VKlTQd999p6lTp6pq1arWO1hnJj9+h0jvhx9+0JQpU9SyZUuVLFlShmHou+++07lz59SgQYO8nxwAt8du05rjtuXmbhmGceNOcJ6enpmuO3PmjPHyyy8bISEhhpOTkxEWFmYMGjTIuHLlik07SUaPHj2MKVOmGKVKlTKcnZ2NsmXLGl988UWGPnfu3Gk0b97c8PHxMVxcXIxHHnnE5g5ZhvH/d6T4+uuvM61r/PjxRokSJQxHR0ebO2zdfFc7w7hxZ7oBAwYYYWFhhrOzsxESEmK88sorRkJCgk27zO7gZRiZ3+0rM7k9V7m9q12a77//3qhXr57h7e1tuLq6GmFhYUbr1q2NlStXZmg7bdo06x0Gb77DWJq1a9caTZs2Nfz9/Q1nZ2ejcOHCRtOmTW3OddrdTE6fPm2zbWZ3Ktm2bZtRu3Ztw8PDw5BkPVcDBw40qlWrZvj5+Rmurq5GyZIljddee834999/sz3etH0sX77c6NChg+Hr62u4u7sbTZo0Mf75559bOp6s7mqX2euQ2XsoNjbWqF+/vuHm5mb4+/sbXbp0MebMmWNIMrZv357t8RiGYezevdt45plnjICAAMPFxcUoVqyY0alTJ+t7I7M7vRw7dsxo1aqV4efnZ3h5eRlPPvmkERsba4SFhdncRTCn83zq1CmjU6dORtmyZQ1PT0+jQIECRsWKFY1x48YZ165dszkft3pXu7TlL7zwglG4cGHD2dnZKFSokFGrVi3rXQjTn4sGDRrYnMv//ve/ubqrXUJCgtGlSxcjMDDQ8PDwMOrUqWP8+uuvGWr/8MMPjVq1ahkFCxa0nu8uXboYhw4dyrZ/AADulLTvJmkPFxcXIzAw0IiMjDRGjhyZ4W64N99pbsOGDcZTTz1lhIWFGa6urkZAQIARGRlpLFq0yGa7lStXGpUrVzZcXV0NSdbvEFl918tsX4bx/98JvvnmG6N8+fKGi4uLUbx4cWPs2LEZtv/777+Nhg0bGt7e3kahQoWMXr16GT/++GOG/+vPnj1rtG7d2vD19TUsFovNPpXJ3fhu53eIm7+//PXXX8Zzzz1nlCpVynB3dzd8fHyM6tWrG7Nnz85wPADMZzGMbG6nAPwfi8WiHj16aNKkSfYuBbgjXnrpJX355Zc6c+ZMvlzSBwAAAAAPIi61A/DAGz58uEJDQ1WyZEldvHhRP/zwg2bMmKEhQ4YQOgEAAADAbSB4AvDAc3Z21vvvv69jx47p2rVrCg8P19ixY/Xqq6/auzQAAAAAuKdxqR0AAAAAAABMkf3tmgAAAAAAAIBbRPAEAAAAAAAAUxA8AQAAAAAAwBRMLg4AAPAAu379uk6cOCEvLy9ZLBZ7lwMAAO4BhmHowoULCg0NlYND9mOaCJ4AAAAeYCdOnFDRokXtXQYAALgHHT16VEWKFMm2DcETAADAA8zLy0vSjS+O3t7edq4GAADcC86fP6+iRYtav0dkh+AJAADgAZZ2eZ23tzfBEwAAyJPcXKbP5OIAAAAAAAAwBcETAAAAAAAATEHwBAAAAAAAAFMwxxMAAAAAAJAkpaam6urVq/YuA3cBR0dHOTk55Woep+wQPAEAAAAAAF28eFHHjh2TYRj2LgV3CQ8PD4WEhMjFxeWW+yB4AgAAAADgAZeamqpjx47Jw8NDhQoVuu1RLri3GYahlJQUnT59WgcPHlR4eLgcHG5ttiaCJwAAAAAAHnBXr16VYRgqVKiQ3N3d7V0O7gLu7u5ydnbW4cOHlZKSIjc3t1vqh8nFAQAAAACAJDHSCTZudZSTTR/5UAcAAAAAAACQAcETAAAAAAAATMEcTwAAAAAAIFMzYmLv6P6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",
       "text/plain": [
        "<Figure size 1500x600 with 2 Axes>"
       ]
@@ -218,10 +218,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.175222Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.175053Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.178172Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.177768Z"
+     "iopub.execute_input": "2024-02-14T16:30:49.998292Z",
+     "iopub.status.busy": "2024-02-14T16:30:49.997943Z",
+     "iopub.status.idle": "2024-02-14T16:30:50.001095Z",
+     "shell.execute_reply": "2024-02-14T16:30:50.000707Z"
     }
    },
    "outputs": [],
@@ -238,16 +238,16 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.179870Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.179708Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.344256Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.343750Z"
+     "iopub.execute_input": "2024-02-14T16:30:50.003026Z",
+     "iopub.status.busy": "2024-02-14T16:30:50.002713Z",
+     "iopub.status.idle": "2024-02-14T16:30:50.177907Z",
+     "shell.execute_reply": "2024-02-14T16:30:50.177332Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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cE6C2q2iyakV+LynWkbxDyvrfW5jAWhNX87wQnjWCWuJy5+8LVXvOSPn/4hITE5Wfn6/WrVsrLS1NISEhkqT8/PwrPnMEAACgXLVHRkxgZASoOkZGbhBGRoArqurICN9NAwAAjCKMAAAAowgjAADAKMIIAAAwqkZPYAVwfVV1EioAOANGRgAAgFGEEdQKubm5slgs1XrY3rWWkpJyxS8bBIDayHkv09zo+/hryXMDunXrpnbt2mn+/PnXfV+5ubkKDQ1VVlaW2rVrd933d70NHDjQ7tHyNXkaMQA4I0ZGbhIlJSWmS7hmrFarzp07Z7qMm46Xl5caNGhQ7fV+//3361ANANw8CCOGdOvWTWPHjlV8fLzq1aunnj17SpKys7PVt29f1alTR4GBgRoyZIgKCgps65WVlWnWrFlq1qyZPDw81KhRI7388su2z/fs2aPu3bvLy8tLAQEBevrpp/XLL7/YPh8+fLj69++v2bNnKygoSAEBARozZozdCS85OVnNmzeXp6enAgMD9dhjj9nW3bx5sxYsWCCLxSKLxaLc3Fxt2rRJFotF69evV1RUlDw8PLRlyxbbvi4UFxenbt26Vak/5V+kGBERIYvFYrfeihUr1KpVK3l6eqply5ZKTk6228/27dsVEREhT09PRUVFKSsr64o/k8aNG2vmzJkaNGiQ6tSpo4YNG2rRokV2y+Tl5emhhx5SnTp15OfnpwEDBuinn36yff7111/rvvvuk6+vr/z8/BQZGamdO3dKsr9Mk5KSohkzZujrr7+2HcuUlBRJksVi0cp33tKwJx5XaFCA5r1+/ov1Ut5epg5twxRcz0+dItvog7+usqvtNn8vvb9yhZ4cPECht/1B0RGttT7tkyv2GwYkJNT8BTghwohBK1eulJubmzIyMrR06VLl5+era9euateunXbu3Kl169bpp59+0oABA2zrTJ48WbNmzdLUqVOVnZ2tVatWKTAwUJL066+/qnfv3rr11lu1Y8cOffDBB/r00081duxYu/1u3LhR+/fv18aNG7Vy5UqlpKTYToQ7d+7Uc889p8TERO3du1fr1q1Tly5dJEkLFixQdHS0Ro0apfz8fOXn5ys4ONi23YkTJyopKUk5OTlq06ZNlY7B5fqzfft2SdKnn36q/Px8rV27VpL01ltvacqUKXr55ZeVk5OjV155RVOnTtXKlSslSWfOnNEDDzygO++8U5mZmUpISNCECROqVM/rr7+uNm3aaNeuXZo8ebKef/55paenSzo/4tO/f3+dOnVKmzdvVnp6uvbv36+BAwfa1h88eLDuuOMO7dixQ5mZmZo0aZJuueWWS/YzcOBAvfDCCwoPD7cdywu383rSS+rV9wFt2rpTT/x5qNI+/oemTpqg2LHjtWlbpoY8OUJxo5/WF//ebLfdObNe1v97+FF9nrFD98f00uhRT+p/T52qUt8BwBTnnTPiAJo1a6bXXnvN9n7atGlq3769XnnlFVvb8uXLFRwcrH379ikoKEgLFizQ4sWLNWzYMElS06ZNde+990qS3n//fZ09e1apqany8fGRJC1evFgPPvigZs2aZTvJ33rrrVq8eLFcXV3VsmVL9evXT5999plGjRqlvLw8+fj46IEHHpCvr69CQkIUEREhSfL395e7u7u8vb112223XdKfxMRE2whPVZw+ffqy/alfv74kKSAgwG5/M2fO1Jw5c/TII49IOj+Ckp2draVLl2rYsGF6//33VVpaquXLl8vb21vh4eH68ccf9eyzz16xpk6dOmnSpEmSpBYtWigjI0Pz5s1Tz5499emnn+qbb77RwYMHbSHs3XffVXh4uHbs2KG7775beXl5+q//+i+1bNlSktS8efMK9+Pl5aU6derIzc2twmP5yOMDNGjIMNv70SOHa+CgIXpy1DPnj9PY8crcsV1LFs3XvV262pYbOGiIHn7sfKiZPC1R7yxdoqxdO9W9R8wV+w4AphBGDIqKirJ7n5mZqY0bN6pOnTqXLLt//379/PPPKi4u1v3331/h9nJyctS2bVtbEJHOn1zLysq0d+9eWxgJDw+Xq6urbZmgoCDt2bNHktSzZ0+FhISoSZMm6t27t3r37q2HH35Y3t7e1e7PleTk5Fy2PxU5ceKEDh8+rBEjRmjUqFG29nPnzsnf39+23bZt29rVHB0dXaXtX7xcdHS0bbJuTk6OgoOD7UaDwsLCVLduXeXk5Ojuu+9WfHy8Ro4cqXfffVc9evTQ448/rqZNm1a5f+XaRrS3e//D3r368/ARdm1/vCdaby15w66tVXhr2599fHxUx9dXBSdOVHv/tQaXPYCbApdpDLowNEjn5088+OCD2r17t93rhx9+UJcuXeTl5XXZ7VmtVlkslgo/u7D94ssGFotFZWVlkiRfX1/t2rVLq1evVlBQkKZNm6a2bdvq559/rnZ/XFxcdPGXQl84N+VK/alIeZ1vvfWW3TH69ttvtW3bNkm6ZJ9Xq/zYVXZ8L2xPSEjQd999p379+unzzz9XWFiY/v73v1d7n97ePpe0Xbzviuq53M8WAG5WhJGbSPv27fXdd9+pcePGatasmd3Lx8dHzZs3l5eXlz777LMK1w8LC9Pu3bt15swZW1tGRoZcXFzUokXVvxrezc1NPXr00GuvvaZvvvlGubm5+vzzzyVJ7u7uKi0trdJ26tevr/z8fLu2C29jvVJ/3N3dJcluf4GBgbr99tt14MCBS45R+YTXsLAwff311zp79qxtvfKgciUXL7dt2zbbJZewsDDl5eXp8OHDts+zs7NVWFioVq1a2dpatGih559/Xhs2bNAjjzyiFStWVNq/qh7L5nfeqe1fbrVr2/HVNjW/s2WV1geAmxlh5CYyZswYnTp1Sk888YS2b9+uAwcOaMOGDXrqqadUWloqT09Pvfjii5o4caJSU1O1f/9+bdu2Te+8846k85MnPT09NWzYMH377bfauHGjxo0bpyFDhtgu0VzJJ598ooULF2r37t06dOiQUlNTVVZWpjvvvFPS+TtOvvrqK+Xm5qqgoOCy/+vu3r27du7cqdTUVP3www+aPn26vv32W9vnV+pPgwYN5OXlZZvIW1hYKOn86ENSUpIWLFigffv2ac+ePVqxYoXmzp0rSRo0aJBcXFw0YsQIZWdnKy0tTbNnz65S/zMyMvTaa69p3759euONN/TBBx9o/PjxkqQePXqoTZs2Gjx4sHbt2qXt27dr6NCh6tq1q6KionT27FmNHTtWmzZt0qFDh5SRkaEdO3bYBZULNW7cWAcPHtTu3btVUFCg4uLiSusa/dzzWrPqXa185y0d2P8fvbl4gdI+/oeeHRdXpX4BwM2MMHITadiwoTIyMlRaWqpevXqpdevWGj9+vPz9/eXicv5HNXXqVL3wwguaNm2aWrVqpYEDB+r48eOSJG9vb61fv16nTp3S3Xffrccee0z333+/Fi9eXOUa6tatq7Vr16p79+5q1aqV3nzzTa1evVrh4eGSpAkTJsjV1VVhYWGqX7++8vLyKt1Wr169NHXqVE2cOFF33323Tp8+raFDh9otc7n+uLm5aeHChVq6dKkaNmyohx56SJI0cuRIvf3220pJSdFdd92lrl27KiUlxTYyUqdOHX388cfKzs5WRESEpkyZolmzZlWp/y+88IIyMzMVERFhmyjbq1cvSecveXz00Ue69dZb1aVLF/Xo0UNNmjTRmjVrJEmurq46efKkhg4dqhYtWmjAgAHq06ePZsyYUeG+Hn30UfXu3Vv33Xef6tevr9WrV1daV58H/p9mvjpbyQvnqWuH9np3xTuan7xMnTp3qVK/AOBmZrFe6wvs10FRUZH8/f1VWFgoPz8/u89+++03HTx4UKGhofL09DRUIZxB48aNFRcXp7i4ONOl3JAvyvu9pFhH8g4p639v0dmy8xOan+9Z9ct5TsERJ7A6Ys2otS53/r4QIyMAAMAowggAADCK54wA/yc3N9d0CQBQKzEyAgAAjHKaMOIA83CBm4vt70zFD8oDgBvF4cNI+RMnf/31V8OVAI6l9Nw5lVmtOkeOB2CYw88ZcXV1Vd26de2etVHZI9EBR/F7SeUPQLsWrNYy/XyqQKeKLfrdyt8XAGY5fBiRZPvW0/JAAji6orO/X3mhq2CVVHzOqtxfPcRlGgCmOUUYsVgsCgoKUoMGDey+iA1wVCkZB6/r9q2yqLjMIitBBMBNwCnCSDlXV1e5urqaLgO4auVPRAWA2sDhJ7ACAADHRhgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGOVUT2AFcHXmpe+r8brP92xxDSsBUJswMgIAAIwijAAAAKMIIwAAwCjCCAAAMIoJrMB1cjWTQQGgNmFkBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGMW39gJwbAkJpisAcJUYGQEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEbVKIwkJycrNDRUnp6eioyM1JYtWypd9osvvlCnTp0UEBAgLy8vtWzZUvPmzatxwQAAwLm4VXeFNWvWKC4uTsnJyerUqZOWLl2qPn36KDs7W40aNbpkeR8fH40dO1Zt2rSRj4+PvvjiCz3zzDPy8fHR008/fU06AQAAHFe1R0bmzp2rESNGaOTIkWrVqpXmz5+v4OBgLVmypMLlIyIi9MQTTyg8PFyNGzfWn//8Z/Xq1euyoykAAKD2qFYYKSkpUWZmpmJiYuzaY2JitHXr1iptIysrS1u3blXXrl0rXaa4uFhFRUV2LwAA4JyqdZmmoKBApaWlCgwMtGsPDAzUsWPHLrvuHXfcoRMnTujcuXNKSEjQyJEjK102KSlJM2bMqE5pAAybl76vxus+37PFNawEgKOp0QRWi8Vi995qtV7SdrEtW7Zo586devPNNzV//nytXr260mUnT56swsJC2+vw4cM1KRMAADiAao2M1KtXT66urpeMghw/fvyS0ZKLhYaGSpLuuusu/fTTT0pISNATTzxR4bIeHh7y8PCoTmkAAMBBVWtkxN3dXZGRkUpPT7drT09PV8eOHau8HavVquLi4ursGgAAOKlq39obHx+vIUOGKCoqStHR0Vq2bJny8vIUGxsr6fwlliNHjig1NVWS9MYbb6hRo0Zq2bKlpPPPHZk9e7bGjRt3DbsBAAAcVbXDyMCBA3Xy5EklJiYqPz9frVu3VlpamkJCQiRJ+fn5ysvLsy1fVlamyZMn6+DBg3Jzc1PTpk316quv6plnnrl2vQAAAA7LYrVaraaLuJKioiL5+/ursLBQfn5+pssBquRq7i6pba7qbpqEhGtWh0Oobf2FQ6vq+ZvvpgEAAEYRRgAAgFHVnjMCADDoai7TcIkHNylGRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFFupgsAbmbz0veZLgEAnB5hBIB5CQmmKwBgEJdpAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBSPgwdg3Jf7T9Z43eimAdewEgAmMDICAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwii/KA4DaIiHBzLrAFTAyAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMqlEYSU5OVmhoqDw9PRUZGaktW7ZUuuzatWvVs2dP1a9fX35+foqOjtb69etrXDAAAHAu1Q4ja9asUVxcnKZMmaKsrCx17txZffr0UV5eXoXL//vf/1bPnj2VlpamzMxM3XfffXrwwQeVlZV11cUDAADHZ7FardbqrNChQwe1b99eS5YssbW1atVK/fv3V1JSUpW2ER4eroEDB2ratGlVWr6oqEj+/v4qLCyUn59fdcoFrsq89H2mS6gV7kldVON1o5sGXMNKUKmEBNMVwAFV9fxdrZGRkpISZWZmKiYmxq49JiZGW7durdI2ysrKdPr0af3hD3+odJni4mIVFRXZvQAAgHOqVhgpKChQaWmpAgMD7doDAwN17NixKm1jzpw5OnPmjAYMGFDpMklJSfL397e9goODq1MmAABwIDWawGqxWOzeW63WS9oqsnr1aiUkJGjNmjVq0KBBpctNnjxZhYWFttfhw4drUiYAAHAAbtVZuF69enJ1db1kFOT48eOXjJZcbM2aNRoxYoQ++OAD9ejR47LLenh4yMPDozqlAQAAB1WtkRF3d3dFRkYqPT3drj09PV0dO3asdL3Vq1dr+PDhWrVqlfr161ezSgEAgFOq1siIJMXHx2vIkCGKiopSdHS0li1bpry8PMXGxko6f4nlyJEjSk1NlXQ+iAwdOlQLFizQPffcYxtV8fLykr+//zXsCgAAcETVDiMDBw7UyZMnlZiYqPz8fLVu3VppaWkKCQmRJOXn59s9c2Tp0qU6d+6cxowZozFjxtjahw0bppSUlKvvAQAAcGjVDiOSNHr0aI0ePbrCzy4OGJs2barJLgAAQC3Bd9MAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCg30wUAcA73pC4yXQIAB8XICAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjeM4InN689H2mSwAAXAYjIwAAwCjCCAAAMIowAgAAjCKMAAAAo5jACgC4soQEM+uiViCMAHBoX+4/WeN1o5sGXMNKANQUl2kAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAY5Wa6AAA3j3tSF5kuAUAtxMgIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIzi1l44hHnp+0yXAAC4ThgZAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGBUjcJIcnKyQkND5enpqcjISG3ZsqXSZfPz8zVo0CDdeeedcnFxUVxcXE1rBQAATqjaYWTNmjWKi4vTlClTlJWVpc6dO6tPnz7Ky8urcPni4mLVr19fU6ZMUdu2ba+6YAAA4FyqHUbmzp2rESNGaOTIkWrVqpXmz5+v4OBgLVmypMLlGzdurAULFmjo0KHy9/ev0j6Ki4tVVFRk9wIAAM6pWmGkpKREmZmZiomJsWuPiYnR1q1br1lRSUlJ8vf3t72Cg4Ov2bYBAMDNpVphpKCgQKWlpQoMDLRrDwwM1LFjx65ZUZMnT1ZhYaHtdfjw4Wu2bQAAcHOp0RflWSwWu/dWq/WStqvh4eEhDw+Pa7Y9AABw86rWyEi9evXk6up6ySjI8ePHLxktAQAAqIpqhRF3d3dFRkYqPT3drj09PV0dO3a8poUBAIDaodqXaeLj4zVkyBBFRUUpOjpay5YtU15enmJjYyWdn+9x5MgRpaam2tbZvXu3JOmXX37RiRMntHv3brm7uyssLOza9AIAADisaoeRgQMH6uTJk0pMTFR+fr5at26ttLQ0hYSESDr/kLOLnzkSERFh+3NmZqZWrVqlkJAQ5ebmXl31AADA4dVoAuvo0aM1evToCj9LSUm5pM1qtdZkNwAAoBbgu2kAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGFWj54wAAFBlCQlm1oXDIIwAqLW+3H+yxutGNw24hpUAtRuXaQAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFF8ay/gZO5JXWS6BACoFkZGAACAUYyM4IaZl77PdAkAgJsQIyMAAMAowggAADCKMAIAAIwijAAAAKOYwAoANfDl/pM1Xje6acA1rARwfIyMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCgeBw8AuHklJJhZFzcUIyMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjOI5I6iWeen7TJcAAHAyjIwAAACjCCMAAMAowggAADCKMAIAAIxiAitwE7ondZHpEgDghmFkBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYxd00tRCPdAdQKyQkmFkX1UYYAa4Tbs9FZb7cf7LG60Y3DbiGlQA3By7TAAAAowgjAADAKMIIAAAwijkjAOBAmG8CZ0QYgdO7momk24aOu4aVAAAqQhgBLoM7YoBaituCbyjmjAAAAKMIIwAAwCgu0zggnqAKAHAmNRoZSU5OVmhoqDw9PRUZGaktW7ZcdvnNmzcrMjJSnp6eatKkid58880aFQsAAJxPtUdG1qxZo7i4OCUnJ6tTp05aunSp+vTpo+zsbDVq1OiS5Q8ePKi+fftq1KhReu+995SRkaHRo0erfv36evTRR69JJwAAzolbmWsHi9VqtVZnhQ4dOqh9+/ZasmSJra1Vq1bq37+/kpKSLln+xRdf1D//+U/l5OTY2mJjY/X111/ryy+/rNI+i4qK5O/vr8LCQvn5+VWn3JuWo15qccTbZLkjBjjPEU/OtS6MONmdOFU9f1drZKSkpESZmZmaNGmSXXtMTIy2bt1a4TpffvmlYmJi7Np69eqld955R7///rtuueWWS9YpLi5WcXGxXWduRlcTKBzxpA4AuLKrClBXs2MHvh25WmGkoKBApaWlCgwMtGsPDAzUsWPHKlzn2LFjFS5/7tw5FRQUKCgo6JJ1kpKSNGPGjOqUZsTzPVvUfOWeNQ8jV/XLKl3dL927V1G3qV/2q6gZcCamRmSv5t/Kq/n3zlh/E67i3HA1HHhUpUZ301gsFrv3Vqv1krYrLV9Re7nJkycrPj7e9r6oqEjBwcE1KRUVMfUL68CpHYDjuar/MOKGqlYYqVevnlxdXS8ZBTl+/Pglox/lbrvttgqXd3NzU0BAxdfzPDw85OHhUZ3S4OwII8BVu5qTs6POc4NjqNatve7u7oqMjFR6erpde3p6ujp27FjhOtHR0Zcsv2HDBkVFRVU4XwQAANQu1X7OSHx8vN5++20tX75cOTk5ev7555WXl6fY2FhJ5y+xDB061LZ8bGysDh06pPj4eOXk5Gj58uV65513NGHChGvXCwAA4LCqPWdk4MCBOnnypBITE5Wfn6/WrVsrLS1NISEhkqT8/Hzl5eXZlg8NDVVaWpqef/55vfHGG2rYsKEWLlzIM0YAAICkGjxnxARnfM4IAADOrqrnb74oDwAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUW6mC6gKq9UqSSoqKjJcCQAAqKry83b5ebwyDhFGTp8+LUkKDg42XAkAAKiu06dPy9/fv9LPLdYrxZWbQFlZmY4ePSpfX19ZLBbT5dyUioqKFBwcrMOHD8vPz890OU6JY3xjcJyvP47xjcFxPj8icvr0aTVs2FAuLpXPDHGIkREXFxfdcccdpstwCH5+frX2l/5G4RjfGBzn649jfGPU9uN8uRGRckxgBQAARhFGAACAUYQRJ+Hh4aHp06fLw8PDdClOi2N8Y3Ccrz+O8Y3Bca46h5jACgAAnBcjIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjTqy4uFjt2rWTxWLR7t27TZfjVHJzczVixAiFhobKy8tLTZs21fTp01VSUmK6NIeWnJys0NBQeXp6KjIyUlu2bDFdklNJSkrS3XffLV9fXzVo0ED9+/fX3r17TZfl1JKSkmSxWBQXF2e6lJsaYcSJTZw4UQ0bNjRdhlP6/vvvVVZWpqVLl+q7777TvHnz9Oabb+q///u/TZfmsNasWaO4uDhNmTJFWVlZ6ty5s/r06aO8vDzTpTmNzZs3a8yYMdq2bZvS09N17tw5xcTE6MyZM6ZLc0o7duzQsmXL1KZNG9Ol3PS4tddJ/etf/1J8fLw+/PBDhYeHKysrS+3atTNdllN7/fXXtWTJEh04cMB0KQ6pQ4cOat++vZYsWWJra9Wqlfr376+kpCSDlTmvEydOqEGDBtq8ebO6dOliuhyn8ssvv6h9+/ZKTk7WSy+9pHbt2mn+/Pmmy7ppMTLihH766SeNGjVK7777rry9vU2XU2sUFhbqD3/4g+kyHFJJSYkyMzMVExNj1x4TE6OtW7caqsr5FRYWShK/t9fBmDFj1K9fP/Xo0cN0KQ7BIb4oD1VntVo1fPhwxcbGKioqSrm5uaZLqhX279+vRYsWac6cOaZLcUgFBQUqLS1VYGCgXXtgYKCOHTtmqCrnZrVaFR8fr3vvvVetW7c2XY5T+etf/6pdu3Zpx44dpktxGIyMOIiEhARZLJbLvnbu3KlFixapqKhIkydPNl2yQ6rqcb7Q0aNH1bt3bz3++OMaOXKkocqdg8VisXtvtVovacO1MXbsWH3zzTdavXq16VKcyuHDhzV+/Hi999578vT0NF2Ow2DOiIMoKChQQUHBZZdp3Lix/vSnP+njjz+2+we8tLRUrq6uGjx4sFauXHm9S3VoVT3O5f/IHD16VPfdd586dOiglJQUubiQ72uipKRE3t7e+uCDD/Twww/b2sePH6/du3dr8+bNBqtzPuPGjdNHH32kf//73woNDTVdjlP56KOP9PDDD8vV1dXWVlpaKovFIhcXFxUXF9t9hvMII04mLy9PRUVFtvdHjx5Vr1699Le//U0dOnTQHXfcYbA653LkyBHdd999ioyM1Hvvvcc/MFepQ4cOioyMVHJysq0tLCxMDz30EBNYrxGr1apx48bp73//uzZt2qTmzZubLsnpnD59WocOHbJre/LJJ9WyZUu9+OKLXBKrBHNGnEyjRo3s3tepU0eS1LRpU4LINXT06FF169ZNjRo10uzZs3XixAnbZ7fddpvByhxXfHy8hgwZoqioKEVHR2vZsmXKy8tTbGys6dKcxpgxY7Rq1Sr94x//kK+vr20+jr+/v7y8vAxX5xx8fX0vCRw+Pj4KCAggiFwGYQSogQ0bNug///mP/vOf/1wS8hhsrJmBAwfq5MmTSkxMVH5+vlq3bq20tDSFhISYLs1plN823a1bN7v2FStWaPjw4Te+IOD/cJkGAAAYxWw7AABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGANwQ3bp109ixYzV27FjVrVtXAQEB+stf/iKr1arvv/9e3t7eWrVqlW35tWvXytPTU3v27DFYNYAbgTAC4IZZuXKl3Nzc9NVXX2nhwoWaN2+e3n77bbVs2VKzZ8/W6NGjdejQIR09elSjRo3Sq6++qrvuust02QCuM761F8AN0a1bNx0/flzfffedLBaLJGnSpEn65z//qezsbEnSAw88oKKiIrm7u8vFxUXr16+3LQvAebmZLgBA7XHPPffYhYvo6GjNmTNHpaWlcnV11fLly9WiRQu5uLjo22+/JYgAtQSXaQDcNL7++mudOXNGZ86c0bFjx0yXA+AGYWQEwA2zbdu2S943b95crq6uOnXqlIYPH64pU6bo2LFjGjx4sHbt2iUvLy9D1QK4URgZAXDDHD58WPHx8dq7d69Wr16tRYsWafz48ZKk2NhYBQcH6y9/+Yvmzp0rq9WqCRMmGK4YwI3AyAiAG2bo0KE6e/as/vjHP8rV1VXjxo3T008/rdTUVKWlpSkrK0tubm5yc3PT+++/r44dO6pfv37q27ev6dIBXEfcTQPghujWrZvatWun+fPnmy4FwE2GyzQAAMAowggAADCKyzQAAMAoRkYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARv1/bOGowdcehX8AAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -277,16 +277,16 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.346220Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.345719Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.498912Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.498393Z"
+     "iopub.execute_input": "2024-02-14T16:30:50.180027Z",
+     "iopub.status.busy": "2024-02-14T16:30:50.179562Z",
+     "iopub.status.idle": "2024-02-14T16:30:50.350615Z",
+     "shell.execute_reply": "2024-02-14T16:30:50.350066Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -315,10 +315,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.500826Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.500519Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.536503Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.536023Z"
+     "iopub.execute_input": "2024-02-14T16:30:50.352457Z",
+     "iopub.status.busy": "2024-02-14T16:30:50.352278Z",
+     "iopub.status.idle": "2024-02-14T16:30:50.387392Z",
+     "shell.execute_reply": "2024-02-14T16:30:50.386890Z"
     }
    },
    "outputs": [
@@ -376,10 +376,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.538366Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.538200Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.574465Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.574045Z"
+     "iopub.execute_input": "2024-02-14T16:30:50.389410Z",
+     "iopub.status.busy": "2024-02-14T16:30:50.389019Z",
+     "iopub.status.idle": "2024-02-14T16:30:50.427153Z",
+     "shell.execute_reply": "2024-02-14T16:30:50.426729Z"
     }
    },
    "outputs": [],
@@ -395,10 +395,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.576225Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.576062Z",
-     "iopub.status.idle": "2024-02-06T01:09:40.591478Z",
-     "shell.execute_reply": "2024-02-06T01:09:40.591103Z"
+     "iopub.execute_input": "2024-02-14T16:30:50.429029Z",
+     "iopub.status.busy": "2024-02-14T16:30:50.428863Z",
+     "iopub.status.idle": "2024-02-14T16:30:50.443912Z",
+     "shell.execute_reply": "2024-02-14T16:30:50.443519Z"
     }
    },
    "outputs": [],
@@ -425,16 +425,16 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:40.593109Z",
-     "iopub.status.busy": "2024-02-06T01:09:40.592948Z",
-     "iopub.status.idle": "2024-02-06T01:09:41.953917Z",
-     "shell.execute_reply": "2024-02-06T01:09:41.953389Z"
+     "iopub.execute_input": "2024-02-14T16:30:50.445607Z",
+     "iopub.status.busy": "2024-02-14T16:30:50.445444Z",
+     "iopub.status.idle": "2024-02-14T16:30:51.818922Z",
+     "shell.execute_reply": "2024-02-14T16:30:51.818363Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -487,10 +487,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:41.955830Z",
-     "iopub.status.busy": "2024-02-06T01:09:41.955660Z",
-     "iopub.status.idle": "2024-02-06T01:09:43.037128Z",
-     "shell.execute_reply": "2024-02-06T01:09:43.036682Z"
+     "iopub.execute_input": "2024-02-14T16:30:51.820961Z",
+     "iopub.status.busy": "2024-02-14T16:30:51.820773Z",
+     "iopub.status.idle": "2024-02-14T16:30:52.911169Z",
+     "shell.execute_reply": "2024-02-14T16:30:52.910637Z"
     }
    },
    "outputs": [
@@ -500,7 +500,7 @@
      "text": [
       "name         value  (rounded)    at limit\n",
       "---------  ------------------  ----------\n",
-      "bkg_yield              118233       False"
+      "bkg_yield              118246       False"
      ]
     },
     {
@@ -508,7 +508,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "sig_yield             20032.7       False"
+      "sig_yield             19914.4       False"
      ]
     },
     {
@@ -516,7 +516,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "lambda            -0.00197586       False"
+      "lambda            -0.00200378       False"
      ]
     },
     {
@@ -524,7 +524,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "mu                    5278.98       False"
+      "mu                    5279.22       False"
      ]
     },
     {
@@ -554,10 +554,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:43.039090Z",
-     "iopub.status.busy": "2024-02-06T01:09:43.038768Z",
-     "iopub.status.idle": "2024-02-06T01:09:43.043309Z",
-     "shell.execute_reply": "2024-02-06T01:09:43.042910Z"
+     "iopub.execute_input": "2024-02-14T16:30:52.913317Z",
+     "iopub.status.busy": "2024-02-14T16:30:52.912983Z",
+     "iopub.status.idle": "2024-02-14T16:30:52.917917Z",
+     "shell.execute_reply": "2024-02-14T16:30:52.917395Z"
     }
    },
    "outputs": [],
@@ -596,10 +596,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:43.044977Z",
-     "iopub.status.busy": "2024-02-06T01:09:43.044680Z",
-     "iopub.status.idle": "2024-02-06T01:09:43.236540Z",
-     "shell.execute_reply": "2024-02-06T01:09:43.236047Z"
+     "iopub.execute_input": "2024-02-14T16:30:52.919733Z",
+     "iopub.status.busy": "2024-02-14T16:30:52.919432Z",
+     "iopub.status.idle": "2024-02-14T16:30:53.115139Z",
+     "shell.execute_reply": "2024-02-14T16:30:53.114597Z"
     }
    },
    "outputs": [
@@ -615,7 +615,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -657,10 +657,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:43.238279Z",
-     "iopub.status.busy": "2024-02-06T01:09:43.238117Z",
-     "iopub.status.idle": "2024-02-06T01:09:43.340011Z",
-     "shell.execute_reply": "2024-02-06T01:09:43.339540Z"
+     "iopub.execute_input": "2024-02-14T16:30:53.117156Z",
+     "iopub.status.busy": "2024-02-14T16:30:53.116828Z",
+     "iopub.status.idle": "2024-02-14T16:30:53.223986Z",
+     "shell.execute_reply": "2024-02-14T16:30:53.223479Z"
     }
    },
    "outputs": [
@@ -668,9 +668,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{<zfit.Parameter 'bkg_yield' floating=True value=1.182e+05>: array([0.74522237, 0.17454325, 0.07409398, ..., 1.12220893, 1.12220893,\n",
-      "       1.12220893]), <zfit.Parameter 'sig_yield' floating=True value=2.003e+04>: array([ 0.25477958,  0.8254534 ,  0.92590173, ..., -0.12220347,\n",
-      "       -0.12220347, -0.12220347])}"
+      "{<zfit.Parameter 'bkg_yield' floating=True value=1.182e+05>: array([-0.1808342 , -0.15203948, -0.18140206, ...,  1.12226197,\n",
+      "        1.12225941,  1.12226197]), <zfit.Parameter 'sig_yield' floating=True value=1.991e+04>: array([ 1.18083047,  1.152036  ,  1.18139833, ..., -0.12225419,\n",
+      "       -0.12225163, -0.12225419])}"
      ]
     },
     {
@@ -694,10 +694,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:43.342148Z",
-     "iopub.status.busy": "2024-02-06T01:09:43.341918Z",
-     "iopub.status.idle": "2024-02-06T01:09:43.354135Z",
-     "shell.execute_reply": "2024-02-06T01:09:43.353692Z"
+     "iopub.execute_input": "2024-02-14T16:30:53.226279Z",
+     "iopub.status.busy": "2024-02-14T16:30:53.226049Z",
+     "iopub.status.idle": "2024-02-14T16:30:53.238483Z",
+     "shell.execute_reply": "2024-02-14T16:30:53.238064Z"
     }
    },
    "outputs": [
@@ -719,7 +719,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "20032.647966127202"
+      "19914.427622395393"
      ]
     },
     {
@@ -747,7 +747,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "118232.76333840188"
+      "118246.3219948369"
      ]
     },
     {
@@ -775,16 +775,16 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:43.356141Z",
-     "iopub.status.busy": "2024-02-06T01:09:43.355972Z",
-     "iopub.status.idle": "2024-02-06T01:09:44.488281Z",
-     "shell.execute_reply": "2024-02-06T01:09:44.487824Z"
+     "iopub.execute_input": "2024-02-14T16:30:53.241528Z",
+     "iopub.status.busy": "2024-02-14T16:30:53.240734Z",
+     "iopub.status.idle": "2024-02-14T16:30:54.362169Z",
+     "shell.execute_reply": "2024-02-14T16:30:54.361585Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -825,10 +825,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:44.490318Z",
-     "iopub.status.busy": "2024-02-06T01:09:44.489987Z",
-     "iopub.status.idle": "2024-02-06T01:09:44.494407Z",
-     "shell.execute_reply": "2024-02-06T01:09:44.494039Z"
+     "iopub.execute_input": "2024-02-14T16:30:54.364238Z",
+     "iopub.status.busy": "2024-02-14T16:30:54.363926Z",
+     "iopub.status.idle": "2024-02-14T16:30:54.368516Z",
+     "shell.execute_reply": "2024-02-14T16:30:54.368035Z"
     }
    },
    "outputs": [
@@ -836,7 +836,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Correlation between m and t: 0.03522752374174872"
+      "Correlation between m and t: 0.03262544915391235"
      ]
     },
     {
@@ -863,16 +863,16 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:44.496133Z",
-     "iopub.status.busy": "2024-02-06T01:09:44.495971Z",
-     "iopub.status.idle": "2024-02-06T01:09:44.656101Z",
-     "shell.execute_reply": "2024-02-06T01:09:44.655586Z"
+     "iopub.execute_input": "2024-02-14T16:30:54.370571Z",
+     "iopub.status.busy": "2024-02-14T16:30:54.370187Z",
+     "iopub.status.idle": "2024-02-14T16:30:54.527637Z",
+     "shell.execute_reply": "2024-02-14T16:30:54.527182Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -903,10 +903,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:44.657860Z",
-     "iopub.status.busy": "2024-02-06T01:09:44.657697Z",
-     "iopub.status.idle": "2024-02-06T01:09:44.659952Z",
-     "shell.execute_reply": "2024-02-06T01:09:44.659590Z"
+     "iopub.execute_input": "2024-02-14T16:30:54.529966Z",
+     "iopub.status.busy": "2024-02-14T16:30:54.529797Z",
+     "iopub.status.idle": "2024-02-14T16:30:54.532356Z",
+     "shell.execute_reply": "2024-02-14T16:30:54.531852Z"
     }
    },
    "outputs": [],
@@ -919,16 +919,16 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:44.661560Z",
-     "iopub.status.busy": "2024-02-06T01:09:44.661404Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.110437Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.109973Z"
+     "iopub.execute_input": "2024-02-14T16:30:54.534251Z",
+     "iopub.status.busy": "2024-02-14T16:30:54.533942Z",
+     "iopub.status.idle": "2024-02-14T16:30:54.985186Z",
+     "shell.execute_reply": "2024-02-14T16:30:54.984738Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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9TqVSPdreavPmzfHqq6/Gz3/+81i6dGm8733vS2/xPXv27Jg9e3a6b3l5ecyYMSPuuuuuWLlyZa/1ampqorq6Ov26o6Mjxo8f35fLAQAAACChMgrHRo8eHcOHD++xSmzXrl09VpO9VXFxcUREnHbaafHSSy/FTTfdlA7H3mrYsGFx1llnxY4dOw5aLy8vL/Ly8jIZPgAAAAB0k9Ezx0aMGBElJSXR2NjYrb2xsTHKysoOu04qlYrOzs5Dvt/S0hJjx47NZHgAAAAAkJGMb6usrq6O+fPnx8yZM6O0tDRWr14dra2tsXDhwoh443bHnTt3xtq1ayMi4p577okJEybE5MmTIyJiy5Ytcdttt8V1112Xrrl8+fKYPXt2TJo0KTo6OmLlypXR0tIS99xzT39cIwAAAAD0KuNwrLKyMvbs2RMrVqyItra2mDZtWmzYsCEmTpwYERFtbW3R2tqa7n/gwIGoqamJ559/PnJzc+OUU06JW265Ja655pp0n5dffjmuvvrqaG9vj8LCwpg+fXps2rQpzj777H64RAAAAADoXU4qlUplexD9oaOjIwoLC2Pv3r1RUFCQ7eHAoDLYdhJ64ZYLsz0EgIgwfzhW+D1xxJ6szfYIjsz5NdkeQa8G2xyzP5mvwrEvk/lDRs8cAwAAAIChRDgGAAAAQGJl/MwxAAAAGMr685ZRt2jC4Cccg0FsKD/HAQAAAAYDt1UCAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsXKzPQAgeU5e+qN+qfPCLRf2Sx0AAACSy8oxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAkVm62BwAAAMAhPFk7sPXPrxnY+gCDnJVjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAANLq6+ujuLg48vPzo6SkJDZv3nzQvlu2bIny8vIYNWpUHHfccTF58uS44447evR7+OGHY+rUqZGXlxdTp06N9evXD+QlAABkRDgGAEBERDQ0NERVVVUsW7Ystm3bFnPmzIl58+ZFa2trr/1HjhwZixcvjk2bNsVvf/vbuOGGG+KGG26I1atXp/s0NTVFZWVlzJ8/P7Zv3x7z58+Pyy+/PH7xi18crcsCADiknFQqlcr2IPpDR0dHFBYWxt69e6OgoCDbw4F+cfLSH2V7CIPaC7dcmO0hAMc484fuZs2aFTNmzIhVq1al26ZMmRIXX3xx1NYe3m55l156aYwcOTL++Z//OSIiKisro6OjIx577LF0n4985CPx7ne/O9atW3dYNf2eOGIDvdvjsa6Pu1Waqx4ec1bIjkzmD1aOAQAQ+/bti+bm5qioqOjWXlFREVu3bj2sGtu2bYutW7fGueeem25ramrqUXPu3LmHXRMAYKDlZnsAAABk3+7du6OrqyuKioq6tRcVFUV7e/shzx03blz86U9/iv3798dNN90UV111Vfq99vb2jGt2dnZGZ2dn+nVHR0cmlwIAkBErxwAASMvJyen2OpVK9Wh7q82bN8czzzwT9957b9TV1fW4XTLTmrW1tVFYWJg+xo8fn+FVAAAcPivHAACI0aNHx/Dhw3us6Nq1a1ePlV9vVVxcHBERp512Wrz00ktx0003xac+9amIiBgzZkzGNWtqaqK6ujr9uqOjQ0AGAAyYPq0cs8U3AMDQMmLEiCgpKYnGxsZu7Y2NjVFWVnbYdVKpVLdbIktLS3vU3Lhx4yFr5uXlRUFBQbcDAGCgZLxy7M0tvuvr66O8vDzuu+++mDdvXjz77LMxYcKEHv3f3OL79NNPj5EjR8aWLVvimmuuiZEjR8bVV18dEf+1xfdXv/rVuOSSS2L9+vVx+eWXx5YtW2LWrFlHfpUAALyt6urqmD9/fsycOTNKS0tj9erV0draGgsXLoyIN1Z07dy5M9auXRsREffcc09MmDAhJk+eHBFvfCl62223xXXXXZeuuWTJkjjnnHPi1ltvjYsuuigeeeSReOKJJ2LLli1H/wIBAHqRcTh2++23x4IFC9IPWq2rq4vHH388Vq1a1esW39OnT4/p06enX5988snx/e9/PzZv3pwOx+rq6uKCCy6Impo3thCuqamJp556qtdnVgAAMDAqKytjz549sWLFimhra4tp06bFhg0bYuLEiRER0dbWFq2tren+Bw4ciJqamnj++ecjNzc3TjnllLjlllvimmuuSfcpKyuLBx98MG644Ya48cYb45RTTomGhgZfgAIAg0ZG4dibW3wvXbq0W3tftvj+X//rf6Xbmpqa4vrrr+/Wb+7cuVFXV5fJ8AAAOEKLFi2KRYsW9fremjVrur2+7rrruq0SO5jLLrssLrvssv4YHgBAv8soHLPFNwAAAABDSZ8eyG+LbwAAAACGgoxWjtniGwAAAIChJKNw7K+3+L7kkkvS7Y2NjXHRRRcddp2DbfH9188dO5wtvvPy8jIZPgAAMBg92XNjLwA4WjLerdIW3wAAAAAMFRmHY7b4BgAAAGCoyEmlUqlsD6I/dHR0RGFhYezduzcKCgqyPRzoFycv/VG2hzCovXDLhdkeAnCMM384Nvg9JYDbKrPr/Jo+nWauenjMWSE7Mpk/9Gm3SgAAAAAYCoRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABIrNxsDwAAAICjo+7Hz/Vse/xHWRgJwOBh5RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFh2qwSOWScv7Z+dlV645cJ+qQMAAMCxx8oxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFi52R4ADEUnL/1RtocAAAAAHAYrxwAASKuvr4/i4uLIz8+PkpKS2Lx580H7fv/7348LLrggTjjhhCgoKIjS0tJ4/PHHu/VZs2ZN5OTk9Dhef/31gb4UAIDDIhwDACAiIhoaGqKqqiqWLVsW27Ztizlz5sS8efOitbW11/6bNm2KCy64IDZs2BDNzc1x/vnnx8c//vHYtm1bt34FBQXR1tbW7cjPzz8alwQA8LbcVgkAQERE3H777bFgwYK46qqrIiKirq4uHn/88Vi1alXU1tb26F9XV9ft9c033xyPPPJI/PCHP4zp06en23NycmLMmDEDOnYAgL6ycgwAgNi3b180NzdHRUVFt/aKiorYunXrYdU4cOBAvPLKK/Ge97ynW/urr74aEydOjHHjxsXHPvaxHivL3qqzszM6Ojq6HQAAA0U4BgBA7N69O7q6uqKoqKhbe1FRUbS3tx9WjW984xvx2muvxeWXX55umzx5cqxZsyYeffTRWLduXeTn50d5eXns2LHjoHVqa2ujsLAwfYwfP75vFwUAcBiEYwAApOXk5HR7nUqlerT1Zt26dXHTTTdFQ0NDnHjiien22bNnxxVXXBFnnHFGzJkzJx566KE49dRT46677jporZqamti7d2/6ePHFF/t+QQAAb6NP4ZhdjAAAhpbRo0fH8OHDe6wS27VrV4/VZG/V0NAQCxYsiIceeig+/OEPH7LvsGHD4qyzzjrkyrG8vLwoKCjodgAADJSMwzG7GAEADD0jRoyIkpKSaGxs7Nbe2NgYZWVlBz1v3bp18dnPfjYeeOCBuPDCC9/256RSqWhpaYmxY8ce8ZgBAPpDxrtV2sUIAGBoqq6ujvnz58fMmTOjtLQ0Vq9eHa2trbFw4cKIeON2x507d8batWsj4o1g7Morr4w777wzZs+enV51dtxxx0VhYWFERCxfvjxmz54dkyZNio6Ojli5cmW0tLTEPffck52LBAB4i4zCsTd3MVq6dGm39v7cxairqyvOPPPM+OpXv9otPHurzs7O6OzsTL8+KrsYPdkz/OtX59cMbH0AgEOorKyMPXv2xIoVK6KtrS2mTZsWGzZsiIkTJ0ZERFtbW7e7Be67777Yv39/XHvttXHttdem2z/zmc/EmjVrIiLi5Zdfjquvvjra29ujsLAwpk+fHps2bYqzzz77qF4bAMDBZBSODfQuRqeddlp0dHTEnXfeGeXl5bF9+/aYNGlSr3Vqa2tj+fLlmQwfAIC3sWjRoli0aFGv770ZeL3ppz/96dvWu+OOO+KOO+7oh5EBAAyMPj2Q3y5GAAAAAAwFGa0c649djP7lX/6l33YxysvLO/zBAwAAAMBbZLRyzC5GAAAAAAwlGe9WaRcjAAAAAIaKjMMxuxgBAAAAMFRkHI5F2MUIAAAAgKGhT7tVAgAAAMBQIBwDAAAAILGEYwAAAAAkVp+eOQYAAAC8vZOX/qhf6rxwy4X9UgfoycoxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAImVm+0B8FeerB3Y+ufXDGx9AAAAgGOMlWMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAgrb6+PoqLiyM/Pz9KSkpi8+bNB+37/e9/Py644II44YQToqCgIEpLS+Pxxx/v0e/hhx+OqVOnRl5eXkydOjXWr18/kJcAAJAR4RgAABER0dDQEFVVVbFs2bLYtm1bzJkzJ+bNmxetra299t+0aVNccMEFsWHDhmhubo7zzz8/Pv7xj8e2bdvSfZqamqKysjLmz58f27dvj/nz58fll18ev/jFL47WZQEAHJJwDACAiIi4/fbbY8GCBXHVVVfFlClToq6uLsaPHx+rVq3qtX9dXV38/d//fZx11lkxadKkuPnmm2PSpEnxwx/+sFufCy64IGpqamLy5MlRU1MTH/rQh6Kuru4oXRUAwKEJxwAAiH379kVzc3NUVFR0a6+oqIitW7ceVo0DBw7EK6+8Eu95z3vSbU1NTT1qzp0795A1Ozs7o6Ojo9sBADBQ+hSOeRYFAMDQsnv37ujq6oqioqJu7UVFRdHe3n5YNb7xjW/Ea6+9Fpdffnm6rb29PeOatbW1UVhYmD7Gjx+fwZUAAGQm43DMsygAAIaunJycbq9TqVSPtt6sW7cubrrppmhoaIgTTzzxiGrW1NTE3r1708eLL76YwRUAAGQm43DMsygAAIae0aNHx/Dhw3us6Nq1a1ePlV9v1dDQEAsWLIiHHnooPvzhD3d7b8yYMRnXzMvLi4KCgm4HAMBAySgcG0zPogAAoP+MGDEiSkpKorGxsVt7Y2NjlJWVHfS8devWxWc/+9l44IEH4sILL+zxfmlpaY+aGzduPGRNAICjKTeTzoPpWRSdnZ3R2dmZfu1BrQAAR6a6ujrmz58fM2fOjNLS0li9enW0trbGwoULI+KN2x137twZa9eujYg3grErr7wy7rzzzpg9e3Z67nbcccdFYWFhREQsWbIkzjnnnLj11lvjoosuikceeSSeeOKJ2LJlS3YuEgDgLfr0QP7B8CwKD2oFAOhflZWVUVdXFytWrIgzzzwzNm3aFBs2bIiJEydGRERbW1u358zed999sX///rj22mtj7Nix6WPJkiXpPmVlZfHggw/G/fffH6effnqsWbMmGhoaYtasWUf9+gAAepPRyrH+eBbFv/zLv/TLsyhqamqiuro6/bqjo0NABgBwhBYtWhSLFi3q9b01a9Z0e/3Tn/70sGpedtllcdlllx3hyAAABkZGK8cG07MoPKgVAAAAgCOV0cqxCM+iAAAAAGDoyPiZY55FAQAAAMBQkfHKsQjPogAAAABgaOjTbpUAAAAAMBQIxwAAAABIrD7dVgkAACTIk7XZHgEADBgrxwAAAABILOEYAAAAAInltsokGejl8OfXDGx9AAAAgH5m5RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFh2qwQAABjk6n78XLaHADBkWTkGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsTyQHwAAIMGqcr83oPXr9l82oPUBjpRwjP7zZO3A1j+/ZmDrAwAAAInjtkoAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILHsVgl/5eSlP8r2EAAAAICjyMoxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgBAWn19fRQXF0d+fn6UlJTE5s2bD9q3ra0tPv3pT8f73//+GDZsWFRVVfXos2bNmsjJyelxvP766wN4FQAAh084BgBAREQ0NDREVVVVLFu2LLZt2xZz5syJefPmRWtra6/9Ozs744QTTohly5bFGWeccdC6BQUF0dbW1u3Iz88fqMsAAMhIbrYHAJBtJy/9Ub/UeeGWC/ulDkC23H777bFgwYK46qqrIiKirq4uHn/88Vi1alXU1tb26H/yySfHnXfeGRER3/72tw9aNycnJ8aMGTMwgwYAOEJWjgEAEPv27Yvm5uaoqKjo1l5RURFbt249otqvvvpqTJw4McaNGxcf+9jHYtu2bUdUDwCgP/Vp5Vh9fX18/etfj7a2tvjABz4QdXV1MWfOnF77trW1xd/93d9Fc3Nz7NixI774xS9GXV1dtz5r1qyJz33ucz3O/fOf/2zJPf/lyZ7fWPer82sGtj4ADGK7d++Orq6uKCoq6tZeVFQU7e3tfa47efLkWLNmTZx22mnR0dERd955Z5SXl8f27dtj0qRJvZ7T2dkZnZ2d6dcdHR19/vkAAG8n45VjnkUBADB05eTkdHudSqV6tGVi9uzZccUVV8QZZ5wRc+bMiYceeihOPfXUuOuuuw56Tm1tbRQWFqaP8ePH9/nnAwC8nYxXjnkWBQDA0DN69OgYPnx4j1Viu3bt6rGa7EgMGzYszjrrrNixY8dB+9TU1ER1dXX6dUdHh4AMSLz+ek5uhGflwltltHJsMD2LorOzMzo6OrodAAD0zYgRI6KkpCQaGxu7tTc2NkZZWVm//ZxUKhUtLS0xduzYg/bJy8uLgoKCbgcAwEDJKBwb6GdRPProo7Fu3brIz8+P8vLyQ36jaLk9AED/qq6ujm9+85vx7W9/O37729/G9ddfH62trbFw4cKIeGNF15VXXtntnJaWlmhpaYlXX301/vSnP0VLS0s8++yz6feXL18ejz/+ePzhD3+IlpaWWLBgQbS0tKRrAgBkW58eyD8Qz6KYPXt2+nV5eXnMmDEj7rrrrli5cmWv51huDwDQvyorK2PPnj2xYsWKaGtri2nTpsWGDRti4sSJEfHGRktvfc7s9OnT0//c3NwcDzzwQEycODFeeOGFiIh4+eWX4+qrr4729vYoLCyM6dOnx6ZNm+Lss88+atcFAHAoGYVjg+lZFHl5eZGXl9dvPxMAgIhFixbFokWLen1vzZo1PdpSqdQh691xxx1xxx139MfQAAAGREa3VQ6mZ1EAAAAAwJHK+LbK6urqmD9/fsycOTNKS0tj9erVPZ5FsXPnzli7dm36nJaWloiIbs+iGDFiREydOjUi3ngWxezZs2PSpEnR0dERK1eujJaWlrjnnnv64RIBAAAAoHcZh2OeRQEAAADAUNGnB/J7FgUAAAAAQ0FGzxwDAAAAgKFEOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEys32AGDQeLI2qnKfG7DydfsvG7DaAAAAQN9YOQYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAkVm62BwBJUZX7vQGtX7f/sgGtDwAAAEORlWMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACRWbrYHAPSPqtzvDWj9uv2XDWh9AAAAyAYrxwAAAABILOEYAAAAAInltkoAANLq6+vj61//erS1tcUHPvCBqKurizlz5vTat62tLf7u7/4umpubY8eOHfHFL34x6urqevR7+OGH48Ybb4zf//73ccopp8TXvva1uOSSSwb4SiD76n78XLaHAMBhsHIMAICIiGhoaIiqqqpYtmxZbNu2LebMmRPz5s2L1tbWXvt3dnbGCSecEMuWLYszzjij1z5NTU1RWVkZ8+fPj+3bt8f8+fPj8ssvj1/84hcDeSkAAIetT+FYfX19FBcXR35+fpSUlMTmzZsP2retrS0+/elPx/vf//4YNmxYVFVV9drv4YcfjqlTp0ZeXl5MnTo11q9f35ehAQDQR7fffnssWLAgrrrqqpgyZUrU1dXF+PHjY9WqVb32P/nkk+POO++MK6+8MgoLC3vtU1dXFxdccEHU1NTE5MmTo6amJj70oQ/1usIMACAbMg7HfKMIADD07Nu3L5qbm6OioqJbe0VFRWzdurXPdZuamnrUnDt37iFrdnZ2RkdHR7cDAGCgZByO+UYRAGDo2b17d3R1dUVRUVG39qKiomhvb+9z3fb29oxr1tbWRmFhYfoYP358n38+AMDbySgcG0zfKAIA0P9ycnK6vU6lUj3aBrpmTU1N7N27N328+OKLR/TzAQAOJaPdKgfTN4qdnZ3R2dmZfm25PQysqtzvDWj9uv2XDWh9AA5t9OjRMXz48B7zr127dvWYp2VizJgxGdfMy8uLvLy8Pv9MAIBM9OmB/IPhG0XL7QEA+s+IESOipKQkGhsbu7U3NjZGWVlZn+uWlpb2qLlx48YjqgkA0J8yWjk2mL5RrKmpierq6vTrjo4OARkAwBGorq6O+fPnx8yZM6O0tDRWr14dra2tsXDhwoh4Y/61c+fOWLt2bfqclpaWiIh49dVX409/+lO0tLTEiBEjYurUqRERsWTJkjjnnHPi1ltvjYsuuigeeeSReOKJJ2LLli1H/foAAHqTUTj2198oXnLJJen2xsbGuOiii/o8iDe/Ubz++uvTbW/3jaLl9gAA/auysjL27NkTK1asiLa2tpg2bVps2LAhJk6cGBERbW1tPXYonz59evqfm5ub44EHHoiJEyfGCy+8EBERZWVl8eCDD8YNN9wQN954Y5xyyinR0NAQs2bNOmrXBQBwKBmFYxG+UQQAGMoWLVoUixYt6vW9NWvW9GhLpVJvW/Oyyy6Lyy7zbEkAYHDKOBzzjSIAAAAAQ0XG4ViEbxQBAAAAGBr6tFslAAAAAAwFwjEAAAAAEks4BgAAAEBi9emZYzDY1P34uWwPAQAA6EVV7vcGtH7dfs+uztTJS3/UL3VeuOXCfqkD2WblGAAAAACJZeUYQD/xDRwAAMCxx8oxAAAAABJLOAYAAABAYgnHAAAAAEgszxwDAIBj3ZO12R4BAByzrBwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYuVmewAAERFVud8b0Pp1+y8b0PoAAAAcm6wcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABIrNxsDwDgaKjK/d6A1q/bf9mA1gcAAGBgWDkGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEis32wMAGAqqcr/Xf8We/NeebefX9F99AAAA0qwcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAImVm+0BADAIPFk7sPXPrxnY+gAAAH1k5RgAAAAAiWXlGMCxYKBXdgH8P/X19fH1r3892tra4gMf+EDU1dXFnDlzDtr/qaeeiurq6vjNb34TJ510Uvz93/99LFy4MP3+mjVr4nOf+1yP8/785z9Hfn7+gFwDAEAm+rRyrL6+PoqLiyM/Pz9KSkpi8+bNh+z/1FNPRUlJSeTn58d73/veuPfee7u9v2bNmsjJyelxvP76630ZHgAAfdDQ0BBVVVWxbNmy2LZtW8yZMyfmzZsXra2tvfZ//vnn46Mf/WjMmTMntm3bFl/+8pfji1/8Yjz88MPd+hUUFERbW1u3QzAGAAwWGa8ce3PSVF9fH+Xl5XHffffFvHnz4tlnn40JEyb06P/mpOkLX/hCfPe7342f/exnsWjRojjhhBPiE5/4RLpfQUFB/O53v+t2rknT0Ff34+eyPQQA4P+5/fbbY8GCBXHVVVdFRERdXV08/vjjsWrVqqit7bmC9d57740JEyZEXV1dRERMmTIlnnnmmbjtttu6zfNycnJizJgxR+UaAAAylfHKsb+eNE2ZMiXq6upi/PjxsWrVql77//WkacqUKXHVVVfF5z//+bjtttu69Xtz0vTXBwAAR8e+ffuiubk5KioqurVXVFTE1q1bez2nqampR/+5c+fGM888E3/5y1/Sba+++mpMnDgxxo0bFx/72Mdi27ZthxxLZ2dndHR0dDsAAAZKRivH3pw0LV26tFt7XyZN3/rWt+Ivf/lLvOMd74iI/5o0dXV1xZlnnhlf/epXY/r06QcdS2dnZ3R2dqZfmzQBAPTd7t27o6urK4qKirq1FxUVRXt7e6/ntLe399p///79sXv37hg7dmxMnjw51qxZE6eddlp0dHTEnXfeGeXl5bF9+/aYNGlSr3Vra2tj+fLl/XNh0AfubgBIloxWjg3EpCki0pOmRx99NNatWxf5+flRXl4eO3bsOOhYamtro7CwMH2MHz8+k0sBAKAXOTk53V6nUqkebW/X/6/bZ8+eHVdccUWcccYZMWfOnHjooYfi1FNPjbvuuuugNWtqamLv3r3p48UXX+zr5QAAvK0+7VY5EJOm2bNnp98vLy+PGTNmxF133RUrV67stWZNTU1UV1enX3d0dAjIgCGhv76trvrQqf1SB0iG0aNHx/Dhw3t84blr164eX3S+acyYMb32z83NjVGjRvV6zrBhw+Kss8465JegeXl5kZeXl+EVAAD0TUYrxwbbpKmgoKDbAQBA34wYMSJKSkqisbGxW3tjY2OUlZX1ek5paWmP/hs3boyZM2emH53xVqlUKlpaWmLs2LH9M3AAgCOU0cqxv540XXLJJen2xsbGuOiii3o9p7S0NH74wx92azvcSdNpp52WyfAAGKye7LnLXb86v2Zg60NCVFdXx/z582PmzJlRWloaq1evjtbW1li4cGFEvLFyf+fOnbF27dqIiFi4cGHcfffdUV1dHV/4wheiqakpvvWtb8W6devSNZcvXx6zZ8+OSZMmRUdHR6xcuTJaWlrinnvuyco1AgC8Vca3VZo0AQAMTZWVlbFnz55YsWJFtLW1xbRp02LDhg0xceLEiIhoa2uL1tbWdP/i4uLYsGFDXH/99XHPPffESSedFCtXroxPfOIT6T4vv/xyXH311dHe3h6FhYUxffr02LRpU5x99tlH/foAAHqTcThm0gQAMHQtWrQoFi1a1Ot7a9as6dF27rnnxq9+9auD1rvjjjvijjvu6K/hAQD0uz49kN+kCQAAAIChIKMH8gMAAADAUCIcAwAAACCx+nRbJQAAAJBsJy/9Ub/VeuGWC/utFmTKyjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILHsVgkAAMAxqyr3ewNav27/ZQNaH8g+4RgAx74na7M9giNzfk22RwAAAInltkoAAAAAEsvKMQAAGGjH+gpXABjCrBwDAAAAILGsHAOAbBvoFSWeaQYAAAdl5RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFh2qwSAoc5umAAAcFDCMQDgyAjfAAA4hrmtEgAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGJ5ID99Uvfj57I9BAAASDM/BaCvrBwDAAAAILGsHAMYovrrG/SqD53aL3UAAAAGIyvHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEslslAAAAkFUnL/1Rv9R54ZYL+6UOyWLlGAAAAACJZeUYAAAAHERV7vcGtH7d/ssGtD7w9oRjAADwZG22RwAAZInbKgEAAABILOEYAAAAAInltkoAACBr6n78XLaHAEDCWTkGAAAAQGJZOQbAIfXXN/pVHzq1X+oAAAD0J+FYwli2DgAAAPBf3FYJAAAAQGJZOQbAUeH2TAAABtrJS3/Ub7VeuOXCfqvF4NanlWP19fVRXFwc+fn5UVJSEps3bz5k/6eeeipKSkoiPz8/3vve98a9997bo8/DDz8cU6dOjby8vJg6dWqsX7++L0MDAOAImOcBAEmT8cqxhoaGqKqqivr6+igvL4/77rsv5s2bF88++2xMmDChR//nn38+PvrRj8YXvvCF+O53vxs/+9nPYtGiRXHCCSfEJz7xiYiIaGpqisrKyvjqV78al1xySaxfvz4uv/zy2LJlS8yaNevIr3II8KwwAGCgmedxuMxNgSTor1VoVqANfjmpVCqVyQmzZs2KGTNmxKpVq9JtU6ZMiYsvvjhqa2t79P/Sl74Ujz76aPz2t79Nty1cuDC2b98eTU1NERFRWVkZHR0d8dhjj6X7fOQjH4l3v/vdsW7dusMaV0dHRxQWFsbevXujoKAgk0s6fE/2vL6jxQQEoH+5PfMYcn7NgJU+KvOHY4h5HofL3BSOHXX7L8v2EBJPOJYdmcwfMlo5tm/fvmhubo6lS5d2a6+oqIitW7f2ek5TU1NUVFR0a5s7d25861vfir/85S/xjne8I5qamuL666/v0aeuru6gY+ns7IzOzs70671790bEGxc/YF57PeNT6p/6twEYCABHqqMP/00nSwbwb/ub84YMvysckszz/DchE6937sv2EIDDtDAeGND69fsvHtD6Q8GE6/8l20Po4f9bPjfbQxhwmczzMgrHdu/eHV1dXVFUVNStvaioKNrb23s9p729vdf++/fvj927d8fYsWMP2udgNSMiamtrY/ny5T3ax48ff7iXA0CC1dyW7RFw+FYM+E945ZVXorCwcMB/zmBmngdA3wxs+MbAKKzL9giOnsOZ5/Vpt8qcnJxur1OpVI+2t+v/1vZMa9bU1ER1dXX69YEDB+I//uM/YtSoUYc8r686Ojpi/Pjx8eKLL7rtIgt8/tnl888un392+fyza6A//1QqFa+88kqcdNJJ/V77WGWe59/zo83nn10+/+zy+WeXzz+7BtM8L6NwbPTo0TF8+PAe3/Tt2rWrxzeCbxozZkyv/XNzc2PUqFGH7HOwmhEReXl5kZeX163tXe961+FeSp8VFBT4lyaLfP7Z5fPPLp9/dvn8s2sgP/+krxh7k3mef8+zzeefXT7/7PL5Z5fPP7sGwzxvWCZFR4wYESUlJdHY2NitvbGxMcrKyno9p7S0tEf/jRs3xsyZM+Md73jHIfscrCYAAP3LPA8ASKqMb6usrq6O+fPnx8yZM6O0tDRWr14dra2tsXDhwoh4Yxn8zp07Y+3atRHxxo5Fd999d1RXV8cXvvCFaGpqim9961vddidasmRJnHPOOXHrrbfGRRddFI888kg88cQTsWXLln66TAAA3o55HgCQRBmHY5WVlbFnz55YsWJFtLW1xbRp02LDhg0xceLEiIhoa2uL1tbWdP/i4uLYsGFDXH/99XHPPffESSedFCtXroxPfOIT6T5lZWXx4IMPxg033BA33nhjnHLKKdHQ0BCzZs3qh0vsH3l5efGVr3ylxxJ/jg6ff3b5/LPL559dPv/s8vkfXeZ5/neWDT7/7PL5Z5fPP7t8/tk1mD7/nJS9ywEAAABIqIyeOQYAAAAAQ4lwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzh2GOrr66O4uDjy8/OjpKQkNm/enO0hJUJtbW2cddZZcfzxx8eJJ54YF198cfzud7/L9rASq7a2NnJycqKqqirbQ0mUnTt3xhVXXBGjRo2Kd77znXHmmWdGc3NztoeVCPv3748bbrghiouL47jjjov3vve9sWLFijhw4EC2hzYkbdq0KT7+8Y/HSSedFDk5OfGDH/yg2/upVCpuuummOOmkk+K4446L8847L37zm99kZ7AMKeZ52WGeN7iY52WHeV72mOcdXcfCPE849jYaGhqiqqoqli1bFtu2bYs5c+bEvHnzum1jzsB46qmn4tprr42f//zn0djYGPv374+Kiop47bXXsj20xHn66adj9erVcfrpp2d7KInyf//v/43y8vJ4xzveEY899lg8++yz8Y1vfCPe9a53ZXtoiXDrrbfGvffeG3fffXf89re/jX/8x3+Mr3/963HXXXdle2hD0muvvRZnnHFG3H333b2+/4//+I9x++23x9133x1PP/10jBkzJi644IJ45ZVXjvJIGUrM87LHPG/wMM/LDvO87DLPO7qOiXleikM6++yzUwsXLuzWNnny5NTSpUuzNKLk2rVrVyoiUk899VS2h5Ior7zySmrSpEmpxsbG1LnnnptasmRJtoeUGF/60pdSH/zgB7M9jMS68MILU5///Oe7tV166aWpK664IksjSo6ISK1fvz79+sCBA6kxY8akbrnllnTb66+/niosLEzde++9WRghQ4V53uBhnpcd5nnZY56XXeZ52TNY53lWjh3Cvn37orm5OSoqKrq1V1RUxNatW7M0quTau3dvRES85z3vyfJIkuXaa6+NCy+8MD784Q9neyiJ8+ijj8bMmTPjb/7mb+LEE0+M6dOnxz/90z9le1iJ8cEPfjB+/OMfx3PPPRcREdu3b48tW7bERz/60SyPLHmef/75aG9v7/b3OC8vL84991x/j+kz87zBxTwvO8zzssc8L7vM8waPwTLPyz1qP+kYtHv37ujq6oqioqJu7UVFRdHe3p6lUSVTKpWK6urq+OAHPxjTpk3L9nAS48EHH4xf/epX8fTTT2d7KIn0hz/8IVatWhXV1dXx5S9/OX75y1/GF7/4xcjLy4srr7wy28Mb8r70pS/F3r17Y/LkyTF8+PDo6uqKr33ta/GpT30q20NLnDf/5vb29/iPf/xjNobEEGCeN3iY52WHeV52medll3ne4DFY5nnCscOQk5PT7XUqlerRxsBavHhx/Ou//mts2bIl20NJjBdffDGWLFkSGzdujPz8/GwPJ5EOHDgQM2fOjJtvvjkiIqZPnx6/+c1vYtWqVSZNR0FDQ0N897vfjQceeCA+8IEPREtLS1RVVcVJJ50Un/nMZ7I9vETy95iB4H9X2Weed/SZ52WfeV52mecNPtn+eywcO4TRo0fH8OHDe3x7uGvXrh6pJgPnuuuui0cffTQ2bdoU48aNy/ZwEqO5uTl27doVJSUl6baurq7YtGlT3H333dHZ2RnDhw/P4giHvrFjx8bUqVO7tU2ZMiUefvjhLI0oWf7n//yfsXTp0vjkJz8ZERGnnXZa/PGPf4za2lqTpqNszJgxEfHGN4tjx45Nt/t7zJEwzxsczPOywzwv+8zzsss8b/AYLPM8zxw7hBEjRkRJSUk0NjZ2a29sbIyysrIsjSo5UqlULF68OL7//e/HT37ykyguLs72kBLlQx/6UPz617+OlpaW9DFz5sz427/922hpaTFhOgrKy8t7bGv/3HPPxcSJE7M0omT5z//8zxg2rPufyeHDh9viOwuKi4tjzJgx3f4e79u3L5566il/j+kz87zsMs/LLvO87DPPyy7zvMFjsMzzrBx7G9XV1TF//vyYOXNmlJaWxurVq6O1tTUWLlyY7aENeddee2088MAD8cgjj8Txxx+f/ma3sLAwjjvuuCyPbug7/vjjezz3Y+TIkTFq1CjPAzlKrr/++igrK4ubb745Lr/88vjlL38Zq1evjtWrV2d7aInw8Y9/PL72ta/FhAkT4gMf+EBs27Ytbr/99vj85z+f7aENSa+++mr827/9W/r1888/Hy0tLfGe97wnJkyYEFVVVXHzzTfHpEmTYtKkSXHzzTfHO9/5zvj0pz+dxVFzrDPPyx7zvOwyz8s+87zsMs87uo6Jed5R2xfzGHbPPfekJk6cmBoxYkRqxowZtpg+SiKi1+P+++/P9tASyxbfR98Pf/jD1LRp01J5eXmpyZMnp1avXp3tISVGR0dHasmSJakJEyak8vPzU+9973tTy5YtS3V2dmZ7aEPSk08+2et/8z/zmc+kUqk3tvn+yle+khozZkwqLy8vdc4556R+/etfZ3fQDAnmedlhnjf4mOcdfeZ52WOed3QdC/O8nFQqlTp6URwAAAAADB6eOQYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYMOidd955cd1110VVVVW8+93vjqKioli9enW89tpr8bnPfS6OP/74OOWUU+Kxxx6LiIiurq5YsGBBFBcXx3HHHRfvf//748477+xW86c//WmcffbZMXLkyHjXu94V5eXl8cc//jEiIrZv3x7nn39+HH/88VFQUBAlJSXxzDPPHPXrBgCgd+edd14sXrw4Fi9eHO9617ti1KhRccMNN0Qqlcr20IBjkHAMOCZ85zvfidGjR8cvf/nLuO666+J//I//EX/zN38TZWVl8atf/Srmzp0b8+fPj//8z/+MAwcOxLhx4+Khhx6KZ599Nv7hH/4hvvzlL8dDDz0UERH79++Piy++OM4999z413/912hqaoqrr746cnJyIiLib//2b2PcuHHx9NNPR3NzcyxdujTe8Y53ZPPyAQB4i+985zuRm5sbv/jFL2LlypVxxx13xDe/+c1sDws4BuWkROvAIHfeeedFV1dXbN68OSLeWBlWWFgYl156aaxduzYiItrb22Ps2LHR1NQUs2fP7lHj2muvjZdeeim+973vxX/8x3/EqFGj4qc//Wmce+65PfoWFBTEXXfdFZ/5zGcG9sIAAOiT8847L3bt2hW/+c1v0l9wLl26NB599NF49tlnszw64Fhj5RhwTDj99NPT/zx8+PAYNWpUnHbaaem2oqKiiIjYtWtXRETce++9MXPmzDjhhBPiv/23/xb/9E//FK2trRER8Z73vCc++9nPxty5c+PjH/943HnnndHW1pauVV1dHVdddVV8+MMfjltuuSV+//vfH41LBAAgA7Nnz04HYxERpaWlsWPHjujq6sriqIBjkXAMOCa89bbGnJycbm1vTowOHDgQDz30UFx//fXx+c9/PjZu3BgtLS3xuc99Lvbt25fuf//990dTU1OUlZVFQ0NDnHrqqfHzn/88IiJuuumm+M1vfhMXXnhh/OQnP4mpU6fG+vXrj8JVAgAAcLQJx4AhZ/PmzVFWVhaLFi2K6dOnx/ve975eV39Nnz49ampqYuvWrTFt2rR44IEH0u+deuqpcf3118fGjRvj0ksvjfvvv/9oXgIAAG/jzS82//r1pEmTYvjw4VkaEXCsEo4BQ8773ve+eOaZZ+Lxxx+P5557Lm688cZ4+umn0+8///zzUVNTE01NTfHHP/4xNm7cGM8991xMmTIl/vznP8fixYvjpz/9afzxj3+Mn/3sZ/H000/HlClTsnhFAAC81YsvvhjV1dXxu9/9LtatWxd33XVXLFmyJNvDAo5BudkeAEB/W7hwYbS0tERlZWXk5OTEpz71qVi0aFE89thjERHxzne+M/7P//k/8Z3vfCf27NkTY8eOjcWLF8c111wT+/fvjz179sSVV14ZL730UowePTouvfTSWL58eZavCgCAv3bllVfGn//85zj77LNj+PDhcd1118XVV1+d7WEBxyC7VQIAAHBMOe+88+LMM8+Murq6bA8FGALcVgkAAABAYgnHAAAAAEgst1UCAAAAkFhWjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFj/P9SmV3kFOj1FAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 1500x600 with 2 Axes>"
       ]
@@ -976,10 +976,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.112241Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.112088Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.300286Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.299780Z"
+     "iopub.execute_input": "2024-02-14T16:30:54.987081Z",
+     "iopub.status.busy": "2024-02-14T16:30:54.986902Z",
+     "iopub.status.idle": "2024-02-14T16:30:55.178381Z",
+     "shell.execute_reply": "2024-02-14T16:30:55.177859Z"
     }
    },
    "outputs": [
@@ -995,7 +995,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1500x600 with 2 Axes>"
       ]
@@ -1038,17 +1038,17 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.301989Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.301820Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.448355Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.447836Z"
+     "iopub.execute_input": "2024-02-14T16:30:55.180201Z",
+     "iopub.status.busy": "2024-02-14T16:30:55.180024Z",
+     "iopub.status.idle": "2024-02-14T16:30:55.325169Z",
+     "shell.execute_reply": "2024-02-14T16:30:55.324660Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7ff65c899990>"
+       "<matplotlib.legend.Legend at 0x7fe51340cf50>"
       ]
      },
      "execution_count": 24,
@@ -1057,7 +1057,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1091,10 +1091,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.450288Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.450121Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.456529Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.456149Z"
+     "iopub.execute_input": "2024-02-14T16:30:55.327137Z",
+     "iopub.status.busy": "2024-02-14T16:30:55.326976Z",
+     "iopub.status.idle": "2024-02-14T16:30:55.333412Z",
+     "shell.execute_reply": "2024-02-14T16:30:55.333044Z"
     }
    },
    "outputs": [],
@@ -1110,10 +1110,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.458255Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.457959Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.642127Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.641640Z"
+     "iopub.execute_input": "2024-02-14T16:30:55.335200Z",
+     "iopub.status.busy": "2024-02-14T16:30:55.334890Z",
+     "iopub.status.idle": "2024-02-14T16:30:55.520666Z",
+     "shell.execute_reply": "2024-02-14T16:30:55.520203Z"
     }
    },
    "outputs": [
@@ -1121,7 +1121,7 @@
      "data": {
       "text/plain": [
        "((0.0, 10.0),\n",
-       " <matplotlib.legend.Legend at 0x7ff65c8b4690>,\n",
+       " <matplotlib.legend.Legend at 0x7fe5132c9d10>,\n",
        " Text(0.5, 0, 'mass'))"
       ]
      },
@@ -1131,7 +1131,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1160,10 +1160,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.643984Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.643693Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.725395Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.724876Z"
+     "iopub.execute_input": "2024-02-14T16:30:55.522489Z",
+     "iopub.status.busy": "2024-02-14T16:30:55.522328Z",
+     "iopub.status.idle": "2024-02-14T16:30:55.606841Z",
+     "shell.execute_reply": "2024-02-14T16:30:55.606297Z"
     }
    },
    "outputs": [],
@@ -1185,16 +1185,16 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.727958Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.727406Z",
-     "iopub.status.idle": "2024-02-06T01:09:45.909809Z",
-     "shell.execute_reply": "2024-02-06T01:09:45.909324Z"
+     "iopub.execute_input": "2024-02-14T16:30:55.609478Z",
+     "iopub.status.busy": "2024-02-14T16:30:55.608699Z",
+     "iopub.status.idle": "2024-02-14T16:30:55.794032Z",
+     "shell.execute_reply": "2024-02-14T16:30:55.793470Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1223,16 +1223,16 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:45.911646Z",
-     "iopub.status.busy": "2024-02-06T01:09:45.911490Z",
-     "iopub.status.idle": "2024-02-06T01:09:46.242330Z",
-     "shell.execute_reply": "2024-02-06T01:09:46.241774Z"
+     "iopub.execute_input": "2024-02-14T16:30:55.795964Z",
+     "iopub.status.busy": "2024-02-14T16:30:55.795647Z",
+     "iopub.status.idle": "2024-02-14T16:30:56.129792Z",
+     "shell.execute_reply": "2024-02-14T16:30:56.129233Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1500x700 with 2 Axes>"
       ]
@@ -1272,17 +1272,17 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:46.244298Z",
-     "iopub.status.busy": "2024-02-06T01:09:46.244127Z",
-     "iopub.status.idle": "2024-02-06T01:09:46.248272Z",
-     "shell.execute_reply": "2024-02-06T01:09:46.247792Z"
+     "iopub.execute_input": "2024-02-14T16:30:56.131696Z",
+     "iopub.status.busy": "2024-02-14T16:30:56.131519Z",
+     "iopub.status.idle": "2024-02-14T16:30:56.135523Z",
+     "shell.execute_reply": "2024-02-14T16:30:56.135137Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-0.34344490966851315"
+       "-0.3296672942654562"
       ]
      },
      "execution_count": 30,
@@ -1306,10 +1306,10 @@
    "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:46.250103Z",
-     "iopub.status.busy": "2024-02-06T01:09:46.249789Z",
-     "iopub.status.idle": "2024-02-06T01:09:46.254537Z",
-     "shell.execute_reply": "2024-02-06T01:09:46.254128Z"
+     "iopub.execute_input": "2024-02-14T16:30:56.137237Z",
+     "iopub.status.busy": "2024-02-14T16:30:56.137074Z",
+     "iopub.status.idle": "2024-02-14T16:30:56.142266Z",
+     "shell.execute_reply": "2024-02-14T16:30:56.141857Z"
     }
    },
    "outputs": [
@@ -1317,7 +1317,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.01243138520386182"
+      "-0.00029086405620798455"
      ]
     },
     {
@@ -1331,7 +1331,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.011348832943694522"
+      "0.006422547032870158"
      ]
     },
     {
@@ -1359,16 +1359,16 @@
    "execution_count": 32,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:46.256133Z",
-     "iopub.status.busy": "2024-02-06T01:09:46.255984Z",
-     "iopub.status.idle": "2024-02-06T01:09:46.434038Z",
-     "shell.execute_reply": "2024-02-06T01:09:46.433664Z"
+     "iopub.execute_input": "2024-02-14T16:30:56.144164Z",
+     "iopub.status.busy": "2024-02-14T16:30:56.143761Z",
+     "iopub.status.idle": "2024-02-14T16:30:56.312264Z",
+     "shell.execute_reply": "2024-02-14T16:30:56.311732Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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90siRI9WuXbvb6k94eLgkqXnz5rJYLA77LVy4UI0bN1bVqlXVqFEjzZ492+F9duzYoebNm6tq1aqKiorSnj17bvkzuVG/r/28fnmaKSsrS126dJGHh4fCw8P1wQcfqE6dOjcdsbr2/Zg6daoCAgJUo0YNTZo0SVeuXDGeoF67dm397W9/c9hv3LhxatCggapVq6a6detq4sSJDj+v//73v4qNjZWXl5e8vb3VsmVL7dy5U9LVx11069ZNNWvWlKenp5o0aXLdRH4AcLUy+9P39OnTOnnypIKCgiRJLVu2VJUqVZSamqrevXtLuvof/L59+zRt2jRJUnR0tHJzc7Vjxw49+OCDkqSvvvpKubm5iomJKavS71mLFy/WkCFDtGXLFtntdmVlZalt27ZKSEjQW2+9pUuXLmncuHHq3bu31q9fL+nqKbj58+drxowZevjhh5WVlaVvv/1WkvTTTz+pc+fOat26tdLS0pSTk6Nnn31Ww4YN06JFi4z33bBhg4KCgrRhwwYdOXJETz31lJo1a6aEhATt3LlTI0aM0Pvvv6+YmBidOXNGmzdvliS98847OnTokCIiIjR58mRJUq1atZSRkSFJGjt2rN58803VrVtXNWrUuK3vwc36c+33Zt26dWrSpIkxcjV//ny98sormjVrlpo3b649e/YoISFBnp6e6t+/vy5evKiuXbvq0Ucf1dKlS3X8+HG9+OKLN63jZv0uztNPP60ff/xRGzduVJUqVZSYmOgwp+xG1q9fr9q1a2vTpk3asmWLBg0apG3btumRRx7RV199pRUrVuj5559Xx44djVOrXl5eWrRokYKDg7V3714lJCTIy8tLY8eOlST94Q9/UPPmzTVnzhy5ubkpPT3dOCU2dOhQFRQUaNOmTfL09NT+/ftVvXr1W/9gAKAMlTjMXLhwQUeOHDFeHz9+XOnp6fLx8ZGPj4+Sk5P1xBNPKCgoSBkZGRo/frz8/PzUo0cPSZLNZtOgQYM0evRo+fr6ysfHR2PGjFFkZKRxdVPjxo3VuXNnJSQkaO7cuZKkwYMHq2vXrje8kqkiqVevnhH8JOnll19WixYtNHXqVGPd3/72N4WEhOjQoUMKCgrSO++8o1mzZql///6SpPvuu08PP/ywJGnZsmW6dOmSlixZIk9PT0nSrFmz1K1bN73xxhvGaFjNmjU1a9Ysubm5qVGjRurSpYv+85//KCEhQZmZmfL09FTXrl3l5eWlsLAwNW/eXNLVn7m7u7uqVatW7FVukydPNkaYbsf58+dv2p9atWpJknx9fR3e79VXX9X06dON053h4eHav3+/5s6dq/79+2vZsmUqLCzU3/72N1WrVk1NmjTRd999pyFDhtywlpv1+9e+/fZbrVu3TmlpaYqKipIkvffee6pfv/4t++zj46O//vWvqlSpkho2bKhp06bpp59+0vjx4yVdDXevv/66tmzZoj59+kiS/vznPxv716lTR6NHj9aKFSuMMJOZmak//elPatSokSQ51JGZmaknnnhCkZGRkqS6deveskbc4+5mPmAFmdsH8ylxmNm5c6diY2ON19cm3Pbv319z5szR3r17tWTJEp07d05BQUGKjY3VihUr5OXlZewzY8YMVa5cWb1799alS5fUvn17LVq0SG5ubkabZcuWacSIEcZVT927d7/pvW0qkmsfhNfs2rVLGzZsKPYv56NHj+rcuXPKz89X+/btiz3egQMH1LRpUyPISFKbNm1UVFSkgwcPGmGmSZMmDj+joKAg7d27V5LUsWNHhYWFqW7duurcubM6d+6sHj16qFq1anfcn1s5cODATftTnB9++EEnT57UoEGDlJCQYKy/cuWKbDabcdymTZs61BwdHX3T495Jvw8ePKjKlSurRYsWxrp69epdNxm+OE2aNFGlSv93djggIEARERHGazc3N/n6+jqM8nz44Yd6++23deTIEV24cEFXrlyRt7e3sT0xMVHPPvuscZuEXr166b777pMkjRgxQkOGDNHatWvVoUMHPfHEE3rggQduWScAlKUSh5l27drJbrffcPuaNWtueYyqVatq5syZmjlz5g3b+Pj4aOnSpSWqsbz7ZeiQrs4fuTaK8mtBQUE6duzYTY93s4nVv1z/66tyLBaLioqKJF09pbF7925t3LhRa9eu1csvv6zk5GSlpaXd8tTRr/tTqVKl637HfjnXw8PD46bHK861OufPn+9wyb8kI6Dd7Pf6Ru6k3zc6/u28b3Hf+5v9PLZv364+ffpo0qRJiouLk81m0/LlyzV9+nSjfXJysvr27atPP/1Un3/+uV555RUtX75cPXr00LPPPqu4uDh9+umnWrt2rVJSUjR9+nQNHz78dr4t5V9ZX/UIoFg8m6kcadGihb755hvVqVNH9erVc1g8PT1Vv359eXh46D//+U+x+99///1KT0/XxYsXjXVbtmxRpUqV1KBBg9uuo3LlyurQoYOmTZumr7/+WhkZGcacHXd3d4c7PN9MrVq1lJWV5bDul/d5uVV/rs2R+eX7BQQE6De/+Y2OHTt23ffo2oTh+++/X//973916dIlY7/t27ffVb9/qVGjRrpy5YrDpOIjR4445TEdW7ZsUVhYmCZMmKCoqCjVr19fJ06cuK5dgwYNNGrUKK1du1Y9e/bUwoULjW0hISF6/vnntXLlSo0ePVrz588v9ToB4G4QZsqRoUOH6syZM/r973+vHTt26NixY1q7dq0GDhyowsJCVa1aVePGjdPYsWO1ZMkSHT16VNu3b9eCBQskXZ0IWrVqVfXv31/79u3Thg0bNHz4cPXr1++2rx775JNP9Ne//lXp6ek6ceKElixZoqKiImOOU506dfTVV18pIyNDP/74ozGCUJxHH31UO3fu1JIlS3T48GG98sor2rdvn7H9Vv3x9/eXh4eHVq9ere+//165ubmSro5EpKSkGBOS9+7dq4ULF+qtt96SdPURGpUqVdKgQYO0f/9+ffbZZ3rzzTfvqt+/1KhRI3Xo0EGDBw/Wjh07tGfPHg0ePFgeHh43veVASdSrV0+ZmZlavny5jh49qr/+9a9atWqVsf3SpUsaNmyYNm7cqBMnTmjLli1KS0tT48aNJV29emzNmjU6fvy4du/erfXr1xvbAOBeQZgpR4KDg7VlyxYVFhYqLi5OERERevHFF2Wz2Yx5FhMnTtTo0aP18ssvq3HjxnrqqaeM+RXVqlXTmjVrdObMGbVq1UpPPvmk2rdvf0dzlGrUqKGVK1fq0UcfVePGjfXuu+/q73//u5o0aSJJGjNmjNzc3HT//ferVq1ayszMvOGx4uLiNHHiRI0dO1atWrXS+fPn9fTTTzu0uVl/KleurL/+9a+aO3eugoOD9dhjj0mSnn32Wb333ntatGiRIiMj1bZtWy1atMgYmalevbr+/e9/a//+/WrevLkmTJhQ7Km7O+n3ry1ZskQBAQF65JFH1KNHD+MKo6pVq97eN/o2PfbYYxo1apSGDRumZs2aaevWrZo4caKx3c3NTadPn9bTTz+tBg0aqHfv3oqPj9ekSZMkXR3VGjp0qDEZv2HDhtddxg4Armaxl2SCgMnk5eXJZrMpNzfXYeKjJP388886fvy4wsPDS/2DBLhd3333nfFcsjuZ0HwvqZD/liranBmuZkIZu9nn9y+Vn1usAiayfv16XbhwQZGRkcrKytLYsWNVp04dPfLII64uDQBMhzADuMDly5c1fvx4HTt2TF5eXoqJidGyZct4fhMAlABhBnCBuLg4xcXFuboMACgXmAAMAABMjTDz/6sA86ABp+LfEABXqfBh5tochZ9++snFlQDmVlBQIEkOj7oAgLJQ4efMuLm5qUaNGg73WintG5cB5V1RUZF++OEHVatWTZUrV/j/VgCUMf7XkYwnKv/y4XwA7kylSpUUGhrKHwMAyhxhRlcfzBcUFCR/f3+HBxkCuH3u7u4OT/QGgLJCmPkFNzc3zvcDAGAy/BkFAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjQdNAqjYNqS4ugIAd4mRGQAAYGqEGQAAYGqEGQAAYGolDjObNm1St27dFBwcLIvFoo8++sjYdvnyZY0bN06RkZHy9PRUcHCwnn76aZ06dcrhGO3atZPFYnFY+vTp49Dm7Nmz6tevn2w2m2w2m/r166dz586VtGwAAFDOlDjMXLx4UU2bNtWsWbOu2/bTTz9p9+7dmjhxonbv3q2VK1fq0KFD6t69+3VtExISlJWVZSxz58512N63b1+lp6dr9erVWr16tdLT09WvX7+Slg0AAMqZEl/NFB8fr/j4+GK32Ww2paamOqybOXOmHnzwQWVmZio0NNRYX61aNQUGBhZ7nAMHDmj16tXavn27HnroIUnS/PnzFR0drYMHD6phw4YlLR8AAJQTZTZnJjc3VxaLRTVq1HBYv2zZMvn5+alJkyYaM2aMzp8/b2zbtm2bbDabEWQkqXXr1rLZbNq6desN3ys/P195eXkOCwAAKJ/K5D4zP//8s1566SX17dtX3t7exvo//OEPCg8PV2BgoPbt26ekpCT997//NUZ1srOz5e/vf93x/P39lZ2dfcP3S0lJ0aRJk0q/IwAA4J7j9DBz+fJl9enTR0VFRZo9e7bDtoSEBOPriIgI1a9fX1FRUdq9e7datGghSbJYLNcd0263F7v+mqSkJCUmJhqv8/LyFBIScrddAQAA9yCnhpnLly+rd+/eOn78uNavX+8wKlOcFi1aqEqVKjp8+LBatGihwMBAff/999e1++GHHxQQEHDD41itVlmt1ruuHwAA3PucNmfmWpA5fPiw1q1bJ19f31vu88033+jy5csKCgqSJEVHRys3N1c7duww2nz11VfKzc1VTEyMs0oHAAAmUuKRmQsXLujIkSPG6+PHjys9PV0+Pj4KDg7Wk08+qd27d+uTTz5RYWGhMcfFx8dH7u7uOnr0qJYtW6bf/e538vPz0/79+zV69Gg1b95cbdq0kSQ1btxYnTt3VkJCgnHJ9uDBg9W1a1euZAIAAJIki91ut5dkx40bNyo2Nva69f3791dycrLCw8OL3W/Dhg1q166dTp48qT/+8Y/at2+fLly4oJCQEHXp0kWvvPKKfHx8jPZnzpzRiBEj9PHHH0uSunfvrlmzZl13VdTN5OXlyWazKTc395anugBUMDxo8vbFJrm6AlQwt/v5XeIwYyaEGQA3RJi5fYQZlLHb/fwuk0uzAQDlwN0EP4IQnIgHTQIAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFOr7OoCAKAi2nbsdIn3ja7rW4qVAObHyAwAADA1wgwAADA1wgwAADA15swAgMkw3wZwxMgMAAAwNcIMAAAwNcIMAAAwtRKHmU2bNqlbt24KDg6WxWLRRx995LDdbrcrOTlZwcHB8vDwULt27fTNN984tMnPz9fw4cPl5+cnT09Pde/eXd99951Dm7Nnz6pfv36y2Wyy2Wzq16+fzp07V9KyAQBAOVPiMHPx4kU1bdpUs2bNKnb7tGnT9NZbb2nWrFlKS0tTYGCgOnbsqPPnzxttRo4cqVWrVmn58uX68ssvdeHCBXXt2lWFhYVGm759+yo9PV2rV6/W6tWrlZ6ern79+pW0bAAAUM6U+Gqm+Ph4xcfHF7vNbrfr7bff1oQJE9SzZ09J0uLFixUQEKAPPvhAzz33nHJzc7VgwQK9//776tChgyRp6dKlCgkJ0bp16xQXF6cDBw5o9erV2r59ux566CFJ0vz58xUdHa2DBw+qYcOGJS0fAACUE06ZM3P8+HFlZ2erU6dOxjqr1aq2bdtq69atkqRdu3bp8uXLDm2Cg4MVERFhtNm2bZtsNpsRZCSpdevWstlsRpvi5OfnKy8vz2EBAADlk1PCTHZ2tiQpICDAYX1AQICxLTs7W+7u7qpZs+ZN2/j7+193fH9/f6NNcVJSUow5NjabTSEhIXfVHwAAcO9y6tVMFovF4bXdbr9u3a/9uk1x7W91nKSkJOXm5hrLyZMn77ByAABgFk65A3BgYKCkqyMrQUFBxvqcnBxjtCYwMFAFBQU6e/asw+hMTk6OYmJijDbff//9dcf/4Ycfrhv1+SWr1Sqr1VoqfQGAG7mbO/ECKD1OCTPh4eEKDAxUamqqmjdvLkkqKCjQF198oTfeeEOS1LJlS1WpUkWpqanq3bu3JCkrK0v79u3TtGnTJEnR0dHKzc3Vjh079OCDD0qSvvrqK+Xm5hqBBwBw+1z2KIQNKSXfNzap5PuiQihxmLlw4YKOHDlivD5+/LjS09Pl4+Oj0NBQjRw5UlOnTlX9+vVVv359TZ06VdWqVVPfvn0lSTabTYMGDdLo0aPl6+srHx8fjRkzRpGRkcbVTY0bN1bnzp2VkJCguXPnSpIGDx6srl27ciUTgP9zNx+UAEyvxGFm586dio2NNV4nJiZKkvr3769FixZp7NixunTpkl544QWdPXtWDz30kNauXSsvLy9jnxkzZqhy5crq3bu3Ll26pPbt22vRokVyc3Mz2ixbtkwjRowwrnrq3r37De9tAwAAKh6L3W63u7oIZ8vLy5PNZlNubq68vb1dXQ6A0uaikZmKNmfGZU/c5jRThXW7n988mwkAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJgaYQYAAJhaiR80CQDlQUV7vhJQHjEyAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0wAwAATI0HTQIAbsvdPJQzuq5vKVYCOGJkBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmJpTw0ydOnVksViuW4YOHSpJGjBgwHXbWrdu7XCM/Px8DR8+XH5+fvL09FT37t313XffObNsAABgIk4NM2lpacrKyjKW1NRUSVKvXr2MNp07d3Zo89lnnzkcY+TIkVq1apWWL1+uL7/8UhcuXFDXrl1VWFjozNIBAIBJOPWmebVq1XJ4/frrr+u+++5T27ZtjXVWq1WBgYHF7p+bm6sFCxbo/fffV4cOHSRJS5cuVUhIiNatW6e4uLhi98vPz1d+fr7xOi8v7267AgAA7lFlNmemoKBAS5cu1cCBA2WxWIz1GzdulL+/vxo0aKCEhATl5OQY23bt2qXLly+rU6dOxrrg4GBFRERo69atN3yvlJQU2Ww2YwkJCXFOpwAAgMuVWZj56KOPdO7cOQ0YMMBYFx8fr2XLlmn9+vWaPn260tLS9OijjxqjKtnZ2XJ3d1fNmjUdjhUQEKDs7OwbvldSUpJyc3ON5eTJk07pEwAAcL0yezbTggULFB8fr+DgYGPdU089ZXwdERGhqKgohYWF6dNPP1XPnj1veCy73e4wuvNrVqtVVqu1dAoHAAD3tDIZmTlx4oTWrVunZ5999qbtgoKCFBYWpsOHD0uSAgMDVVBQoLNnzzq0y8nJUUBAgNPqBQAA5lEmYWbhwoXy9/dXly5dbtru9OnTOnnypIKCgiRJLVu2VJUqVYyroCQpKytL+/btU0xMjFNrBgAA5uD000xFRUVauHCh+vfvr8qV/+/tLly4oOTkZD3xxBMKCgpSRkaGxo8fLz8/P/Xo0UOSZLPZNGjQII0ePVq+vr7y8fHRmDFjFBkZaVzdBKCc2JDi6goAmJTTw8y6deuUmZmpgQMHOqx3c3PT3r17tWTJEp07d05BQUGKjY3VihUr5OXlZbSbMWOGKleurN69e+vSpUtq3769Fi1aJDc3N2eXDgAATMBit9vtri7C2fLy8mSz2ZSbmytvb29XlwOgOHcxMrPt2OlSLATOEF3Xt+Q7xyaVXiEwldv9/ObZTAAAwNQIMwAAwNTK7D4zAICK625OBUbHlmIhKJcYmQEAAKbGyAwA4N52N5ftM3m4QmBkBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmBphBgAAmFplVxcAAJK07dhpV5cAwKQYmQEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKbm1DCTnJwsi8XisAQGBhrb7Xa7kpOTFRwcLA8PD7Vr107ffPONwzHy8/M1fPhw+fn5ydPTU927d9d3333nzLIBAICJOH1kpkmTJsrKyjKWvXv3GtumTZumt956S7NmzVJaWpoCAwPVsWNHnT9/3mgzcuRIrVq1SsuXL9eXX36pCxcuqGvXriosLHR26QAAwAScftO8ypUrO4zGXGO32/X2229rwoQJ6tmzpyRp8eLFCggI0AcffKDnnntOubm5WrBggd5//3116NBBkrR06VKFhIRo3bp1iouLK/Y98/PzlZ+fb7zOy8tzQs8AAMC9wOkjM4cPH1ZwcLDCw8PVp08fHTt2TJJ0/PhxZWdnq1OnTkZbq9Wqtm3bauvWrZKkXbt26fLlyw5tgoODFRERYbQpTkpKimw2m7GEhIQ4qXcAAMDVnBpmHnroIS1ZskRr1qzR/PnzlZ2drZiYGJ0+fVrZ2dmSpICAAId9AgICjG3Z2dlyd3dXzZo1b9imOElJScrNzTWWkydPlnLPAADAvcKpp5ni4+ONryMjIxUdHa377rtPixcvVuvWrSVJFovFYR+73X7dul+7VRur1Sqr1XoXlQMAALMo00uzPT09FRkZqcOHDxvzaH49wpKTk2OM1gQGBqqgoEBnz569YRsAAFCxlWmYyc/P14EDBxQUFKTw8HAFBgYqNTXV2F5QUKAvvvhCMTExkqSWLVuqSpUqDm2ysrK0b98+ow0AAKjYnHqaacyYMerWrZtCQ0OVk5Oj1157TXl5eerfv78sFotGjhypqVOnqn79+qpfv76mTp2qatWqqW/fvpIkm82mQYMGafTo0fL19ZWPj4/GjBmjyMhI4+omAABQsTk1zHz33Xf6/e9/rx9//FG1atVS69attX37doWFhUmSxo4dq0uXLumFF17Q2bNn9dBDD2nt2rXy8vIyjjFjxgxVrlxZvXv31qVLl9S+fXstWrRIbm5uziwdAACYhMVut9tdXYSz5eXlyWazKTc3V97e3q4uB0Axti0Y4+oSUA5FD3rT1SXgLtzu5zfPZgIAAKZGmAEAAKZGmAEAAKZGmAEAAKbm9AdNAqhANqS4ugIAFRAjMwAAwNQIMwAAwNQIMwAAwNSYMwMAKL/uZh5XbFLp1QGnIswAKDXbjp12dQkAKiBOMwEAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFOr7OoCAABwlm3HTpd43+jYUiwETsXIDAAAMDXCDAAAMDXCDAAAMDXCDAAAMDWnhpmUlBS1atVKXl5e8vf31+OPP66DBw86tBkwYIAsFovD0rp1a4c2+fn5Gj58uPz8/OTp6anu3bvru+++c2bpAADAJJwaZr744gsNHTpU27dvV2pqqq5cuaJOnTrp4sWLDu06d+6srKwsY/nss88cto8cOVKrVq3S8uXL9eWXX+rChQvq2rWrCgsLnVk+AAAwAademr169WqH1wsXLpS/v7927dqlRx55xFhvtVoVGBhY7DFyc3O1YMECvf/+++rQoYMkaenSpQoJCdG6desUFxfnvA4AAIB7XpneZyY3N1eS5OPj47B+48aN8vf3V40aNdS2bVtNmTJF/v7+kqRdu3bp8uXL6tSpk9E+ODhYERER2rp1a7FhJj8/X/n5+cbrvLw8Z3QHAFCebUgp+b6xSaVXB26pzCYA2+12JSYm6uGHH1ZERISxPj4+XsuWLdP69es1ffp0paWl6dFHHzXCSHZ2ttzd3VWzZk2H4wUEBCg7O7vY90pJSZHNZjOWkJAQ53UMAAC4VJmNzAwbNkxff/21vvzyS4f1Tz31lPF1RESEoqKiFBYWpk8//VQ9e/a84fHsdrssFkux25KSkpSYmGi8zsvLI9AAAFBOlUmYGT58uD7++GNt2rRJtWvXvmnboKAghYWF6fDhw5KkwMBAFRQU6OzZsw6jMzk5OYqJiSn2GFarVVartfQ6AFQgM1IPlXjf1rduAgClzqmnmex2u4YNG6aVK1dq/fr1Cg8Pv+U+p0+f1smTJxUUFCRJatmypapUqaLU1FSjTVZWlvbt23fDMAMAACoOp47MDB06VB988IH+9a9/ycvLy5jjYrPZ5OHhoQsXLig5OVlPPPGEgoKClJGRofHjx8vPz089evQw2g4aNEijR4+Wr6+vfHx8NGbMGEVGRhpXNwEAgIrLqWFmzpw5kqR27do5rF+4cKEGDBggNzc37d27V0uWLNG5c+cUFBSk2NhYrVixQl5eXkb7GTNmqHLlyurdu7cuXbqk9u3ba9GiRXJzc3Nm+QAAwAQsdrvd7uoinC0vL082m025ubny9vZ2dTnAPe2u5sxkzivFSgDzih70pqtLKBdu9/ObZzMBAABTI8wAAABTI8wAAABTK9PHGQC49zHvBYDZMDIDAABMjTADAABMjTADAABMjTkzQDnE85UAVCSMzAAAAFMjzAAAAFMjzAAAAFMjzAAAAFNjAjAAAKXsbibhj+rYoBQrqRgYmQEAAKZGmAEAAKbGaSYAAErZ3T3j7M1Sq6OiYGQGAACYGmEGAACYGqeZgHvU3VwNAQAVCSMzAADA1AgzAADA1AgzAADA1AgzAADA1JgADADAPYRHIdw5RmYAAICpEWYAAICpEWYAAICpMWcGcCJufAcAzkeYAQCgnKiok4c5zQQAAEyNkRkAAO4hrTPnlXjf7aGDS7ES8zBNmJk9e7b+8pe/KCsrS02aNNHbb7+t3/72t64uCxUA814A4N5mijCzYsUKjRw5UrNnz1abNm00d+5cxcfHa//+/QoNDXV1eQAAmJ6Z59tY7Ha73aUV3IaHHnpILVq00Jw5c4x1jRs31uOPP66UlJRb7p+Xlyebzabc3Fx5e3s7s1Tcoyra6MrdDFMDMC9XnWZyVpi53c/ve35kpqCgQLt27dJLL73ksL5Tp07aunVrsfvk5+crPz/feJ2Xl+fUGiuaihYMAAD3tns+zPz4448qLCxUQECAw/qAgABlZ2cXu09KSoomTZpUFuWZ14Zbj2jdyKh7/rcGGvSmqysA4ALRd/F/+91JctH7XmWaS7MtFovDa7vdft26a5KSkpSbm2ssJ0+eLIsSAQCAC9zzf2P7+fnJzc3tulGYnJyc60ZrrrFarbJarWVRHgAAcLF7fmTG3d1dLVu2VGpqqsP61NRUxcTEuKgqAABwr7jnR2YkKTExUf369VNUVJSio6M1b948ZWZm6vnnn3d1aQAA3Dti72Luisvm29w9U4SZp556SqdPn9bkyZOVlZWliIgIffbZZwoLC3N1aQAAwMVMEWYk6YUXXtALL7zg6jIAAMA95p6fMwMAAHAzhBkAAGBqpjnNBAAAnOhuJg+7GCMzAADA1AgzAADA1AgzAADA1AgzAADA1AgzAADA1AgzAADA1AgzAADA1AgzAADA1AgzAADA1LgDcEVVQR8TDwAofwgzwL3KxLcWB4CyxGkmAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgajw1G3AmnnwNAE7HyAwAADA1wgwAADA1wgwAADA1p4WZjIwMDRo0SOHh4fLw8NB9992nV155RQUFBQ7tLBbLdcu7777r0Gbv3r1q27atPDw89Jvf/EaTJ0+W3W53VukAAMBEnDYB+Ntvv1VRUZHmzp2revXqad++fUpISNDFixf15ptvOrRduHChOnfubLy22WzG13l5eerYsaNiY2OVlpamQ4cOacCAAfL09NTo0aOdVT4AADAJp4WZzp07OwSUunXr6uDBg5ozZ851YaZGjRoKDAws9jjLli3Tzz//rEWLFslqtSoiIkKHDh3SW2+9pcTERFksluv2yc/PV35+vvE6Ly+vlHoFAADuNWU6ZyY3N1c+Pj7XrR82bJj8/PzUqlUrvfvuuyoqKjK2bdu2TW3btpXVajXWxcXF6dSpU8rIyCj2fVJSUmSz2YwlJCSk1PsCAADuDWV2n5mjR49q5syZmj59usP6V199Ve3bt5eHh4f+85//aPTo0frxxx/15z//WZKUnZ2tOnXqOOwTEBBgbAsPD7/uvZKSkpSYmGi8zsvLI9Cg5LhXDADc0+44zCQnJ2vSpEk3bZOWlqaoqCjj9alTp9S5c2f16tVLzz77rEPba6FFkpo1ayZJmjx5ssP6X59Kujb5t7hTTJJktVodRnIAAED5dcdhZtiwYerTp89N2/xyJOXUqVOKjY1VdHS05s2bd8vjt27dWnl5efr+++8VEBCgwMBAZWdnO7TJycmR9H8jNAAAoOK64zDj5+cnPz+/22r7v//9T7GxsWrZsqUWLlyoSpVuPUVnz549qlq1qmrUqCFJio6O1vjx41VQUCB3d3dJ0tq1axUcHHzd6ScAAFDxOG0C8KlTp9SuXTuFhITozTff1A8//KDs7GyHUZZ///vfmj9/vvbt26ejR4/qvffe04QJEzR48GDjNFHfvn1ltVo1YMAA7du3T6tWrdLUqVNveCUTAACoWJw2AXjt2rU6cuSIjhw5otq1aztsuzbnpUqVKpo9e7YSExNVVFSkunXravLkyRo6dKjR1mazKTU1VUOHDlVUVJRq1qypxMREhwm+AACg4rLYK8CtdPPy8mSz2ZSbmytvb29Xl2N+G1JcXUHZ4momAHCJ2/385tlMAADA1AgzAADA1AgzAADA1AgzAADA1AgzAADA1Mrs2UyAS3FFEgCUW4zMAAAAUyPMAAAAUyPMAAAAU2PODMyDeS8AgGIwMgMAAEyNMAMAAEyN00woW5wqAgCUMkZmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqXFpNu4cl1cDAO4hjMwAAABTI8wAAABTI8wAAABTI8wAAABTI8wAAABTI8wAAABTI8wAAABTI8wAAABTI8wAAABTI8wAAABTc2qYqVOnjiwWi8Py0ksvObTJzMxUt27d5OnpKT8/P40YMUIFBQUObfbu3au2bdvKw8NDv/nNbzR58mTZ7XZnlg4AAEzC6c9mmjx5shISEozX1atXN74uLCxUly5dVKtWLX355Zc6ffq0+vfvL7vdrpkzZ0qS8vLy1LFjR8XGxiotLU2HDh3SgAED5OnpqdGjRzu7fAAAcI9zepjx8vJSYGBgsdvWrl2r/fv36+TJkwoODpYkTZ8+XQMGDNCUKVPk7e2tZcuW6eeff9aiRYtktVoVERGhQ4cO6a233lJiYqIsFouzuwAAAO5hTp8z88Ybb8jX11fNmjXTlClTHE4hbdu2TREREUaQkaS4uDjl5+dr165dRpu2bdvKarU6tDl16pQyMjKKfc/8/Hzl5eU5LAAAoHxy6sjMiy++qBYtWqhmzZrasWOHkpKSdPz4cb333nuSpOzsbAUEBDjsU7NmTbm7uys7O9toU6dOHYc21/bJzs5WeHj4de+bkpKiSZMmOaFHAADgXnPHYSY5OfmWQSEtLU1RUVEaNWqUse6BBx5QzZo19eSTTxqjNZKKPU1kt9sd1v+6zbXJvzc6xZSUlKTExETjdW5urkJDQxmhAQDARK59bt/qop87DjPDhg1Tnz59btrm1yMp17Ru3VqSdOTIEfn6+iowMFBfffWVQ5uzZ8/q8uXLxuhLYGCgMUpzTU5OjiRdN6pzjdVqdTgtde2bERISctO6AQDAvef8+fOy2Ww33H7HYcbPz09+fn4lKmbPnj2SpKCgIElSdHS0pkyZoqysLGPd2rVrZbVa1bJlS6PN+PHjVVBQIHd3d6NNcHDwDUPTrwUHB+vkyZPy8vIq9QnDeXl5CgkJ0cmTJ+Xt7V2qx74X0D/zK+99pH/mV977SP9Kzm636/z58w5za4vjtDkz27Zt0/bt2xUbGyubzaa0tDSNGjVK3bt3V2hoqCSpU6dOuv/++9WvXz/95S9/0ZkzZzRmzBglJCQY35C+fftq0qRJGjBggMaPH6/Dhw9r6tSpevnll287mFSqVEm1a9d2VlclSd7e3uXyl/Qa+md+5b2P9M/8ynsf6V/J3GxE5hqnhRmr1aoVK1Zo0qRJys/PV1hYmBISEjR27FijjZubmz799FO98MILatOmjTw8PNS3b1+9+eabRhubzabU1FQNHTpUUVFRqlmzphITEx3mxAAAgIrLaWGmRYsW2r59+y3bhYaG6pNPPrlpm8jISG3atKm0SgMAAOUIz2a6S1arVa+88orDhOPyhP6ZX3nvI/0zv/LeR/rnfBY7DzkCAAAmxsgMAAAwNcIMAAAwNcIMAAAwNcIMAAAwNcJMKZoyZYpiYmJUrVo11ahRw9Xl3LXZs2crPDxcVatWVcuWLbV582ZXl1RqNm3apG7duik4OFgWi0UfffSRq0sqVSkpKWrVqpW8vLzk7++vxx9/XAcPHnR1WaVqzpw5euCBB4wbdUVHR+vzzz93dVlOk5KSIovFopEjR7q6lFKRnJwsi8XisAQGBrq6rFL3v//9T3/84x/l6+uratWqqVmzZtq1a5eryyoVderUue5naLFYNHTo0DKvhTBTigoKCtSrVy8NGTLE1aXctRUrVmjkyJGaMGGC9uzZo9/+9reKj49XZmamq0srFRcvXlTTpk01a9YsV5fiFF988YWGDh2q7du3KzU1VVeuXFGnTp108eJFV5dWamrXrq3XX39dO3fu1M6dO/Xoo4/qscce0zfffOPq0kpdWlqa5s2bpwceeMDVpZSqJk2aKCsry1j27t3r6pJK1dmzZ9WmTRtVqVJFn3/+ufbv36/p06eXiz92pau/l7/8+aWmpkqSevXqVfbF2FHqFi5caLfZbK4u4648+OCD9ueff95hXaNGjewvvfSSiypyHkn2VatWuboMp8rJybFLsn/xxReuLsWpatasaX/vvfdcXUapOn/+vL1+/fr21NRUe9u2be0vvviiq0sqFa+88oq9adOmri7DqcaNG2d/+OGHXV1GmXnxxRft9913n72oqKjM35uRGVynoKBAu3btUqdOnRzWd+rUSVu3bnVRVbgbubm5kiQfHx8XV+IchYWFWr58uS5evKjo6GhXl1Oqhg4dqi5duqhDhw6uLqXUHT58WMHBwQoPD1efPn107NgxV5dUqj7++GNFRUWpV69e8vf3V/PmzTV//nxXl+UUBQUFWrp0qQYOHFjqD3S+HYQZXOfHH39UYWGhAgICHNYHBAQoOzvbRVWhpOx2uxITE/Xwww8rIiLC1eWUqr1796p69eqyWq16/vnntWrVKt1///2uLqvULF++XLt371ZKSoqrSyl1Dz30kJYsWaI1a9Zo/vz5ys7OVkxMjE6fPu3q0krNsWPHNGfOHNWvX19r1qzR888/rxEjRmjJkiWuLq3UffTRRzp37pwGDBjgkvcnzNxCcZPUfr3s3LnT1WU6xa/Ttd1ud0nixt0ZNmyYvv76a/397393dSmlrmHDhkpPT9f27ds1ZMgQ9e/fX/v373d1WaXi5MmTevHFF7V06VJVrVrV1eWUuvj4eD3xxBOKjIxUhw4d9Omnn0qSFi9e7OLKSk9RUZFatGihqVOnqnnz5nruueeUkJCgOXPmuLq0UrdgwQLFx8crODjYJe/vtAdNlhfDhg1Tnz59btqmTp06ZVNMGfHz85Obm9t1ozA5OTnXjdbg3jZ8+HB9/PHH2rRpk2rXru3qckqdu7u76tWrJ0mKiopSWlqa3nnnHc2dO9fFld29Xbt2KScnRy1btjTWFRYWatOmTZo1a5by8/Pl5ubmwgpLl6enpyIjI3X48GFXl1JqgoKCrhspbNy4sf75z3+6qCLnOHHihNatW6eVK1e6rAbCzC34+fnJz8/P1WWUKXd3d7Vs2VKpqanq0aOHsT41NVWPPfaYCyvD7bLb7Ro+fLhWrVqljRs3Kjw83NUllQm73a78/HxXl1Eq2rdvf93VPc8884waNWqkcePGlasgI0n5+fk6cOCAfvvb37q6lFLTpk2b626JcOjQIYWFhbmoIudYuHCh/P391aVLF5fVQJgpRZmZmTpz5owyMzNVWFio9PR0SVK9evVUvXp11xZ3hxITE9WvXz9FRUUpOjpa8+bNU2Zmpp5//nlXl1YqLly4oCNHjhivjx8/rvT0dPn4+Cg0NNSFlZWOoUOH6oMPPtC//vUveXl5GaNsNptNHh4eLq6udIwfP17x8fEKCQnR+fPntXz5cm3cuFGrV692dWmlwsvL67o5Tp6envL19S0Xc5/GjBmjbt26KTQ0VDk5OXrttdeUl5en/v37u7q0UjNq1CjFxMRo6tSp6t27t3bs2KF58+Zp3rx5ri6t1BQVFWnhwoXq37+/Kld2YaQo8+unyrH+/fvbJV23bNiwwdWllcj/+3//zx4WFmZ3d3e3t2jRolxd1rthw4Zif1b9+/d3dWmlori+SbIvXLjQ1aWVmoEDBxq/n7Vq1bK3b9/evnbtWleX5VTl6dLsp556yh4UFGSvUqWKPTg42N6zZ0/7N9984+qySt2///1ve0REhN1qtdobNWpknzdvnqtLKlVr1qyxS7IfPHjQpXVY7Ha7vcwTFAAAQCnhaiYAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkAAGBqhBkALtWuXTsNHz5cI0eOVM2aNRUQEKB58+bp4sWLeuaZZ+Tl5aX77rtPn3/+uSSpsLBQgwYNUnh4uDw8PNSwYUO98847DsfcuHGjHnzwQXl6eqpGjRpq06aNTpw4IUn673//q9jYWHl5ecnb21stW7bUzp07y7zfAEoPYQaAyy1evFh+fn7asWOHhg8friFDhqhXr16KiYnR7t27FRcXp379+umnn35SUVGRateurX/84x/av3+/Xn75ZY0fP17/+Mc/JElXrlzR448/rrZt2+rrr7/Wtm3bNHjwYFksFknSH/7wB9WuXVtpaWnatWuXXnrpJVWpUsWV3Qdwl3hqNgCXateunQoLC7V582ZJV0debDabevbsqSVLlkiSsrOzFRQUpG3btql169bXHWPo0KH6/vvv9eGHH+rMmTPy9fXVxo0b1bZt2+vaent7a+bMmerfv79zOwagzDAyA8DlHnjgAeNrNzc3+fr6KjIy0lgXEBAgScrJyZEkvfvuu4qKilKtWrVUvXp1zZ8/X5mZmZIkHx8fDRgwQHFxcerWrZveeecdZWVlGcdKTEzUs88+qw4dOuj111/X0aNHy6KLAJyIMAPA5X59msdisTisu3aKqKioSP/4xz80atQoDRw4UGvXrlV6erqeeeYZFRQUGO0XLlyobdu2KSYmRitWrFCDBg20fft2SVJycrK++eYbdenSRevXr9f999+vVatWlUEvATgLYQaAqWzevFkxMTF64YUX1Lx5c9WrV6/Y0ZXmzZsrKSlJW7duVUREhD744ANjW4MGDTRq1CitXbtWPXv21MKFC8uyCwBKGWEGgKnUq1dPO3fu1Jo1a3To0CFNnDhRaWlpxvbjx48rKSlJ27Zt04kTJ7R27VodOnRIjRs31qVLlzRs2DBt3LhRJ06c0JYtW5SWlqbGjRu7sEcA7lZlVxcAAHfi+eefV3p6up566ilZLBb9/ve/1wsvvGBcul2tWjV9++23Wrx4sU6fPq2goCANGzZMzz33nK5cuaLTp0/r6aef1vfffy8/Pz/17NlTkyZNcnGvANwNrmYCAACmxmkmAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgaoQZAABgav8fhtiwISGMS3IAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
diff --git a/advanced-python/70ScikitHEPUniverse.html b/advanced-python/70ScikitHEPUniverse.html
index 0e1ccaee..9f46b588 100644
--- a/advanced-python/70ScikitHEPUniverse.html
+++ b/advanced-python/70ScikitHEPUniverse.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/advanced-python/70ScikitHEPUniverse.ipynb b/advanced-python/70ScikitHEPUniverse.ipynb
index c7c4e27e..7b852796 100644
--- a/advanced-python/70ScikitHEPUniverse.ipynb
+++ b/advanced-python/70ScikitHEPUniverse.ipynb
@@ -30,10 +30,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.507804Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.507351Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.833184Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.832716Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.396999Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.396833Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.725116Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.724683Z"
     }
    },
    "outputs": [
@@ -60,10 +60,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.835220Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.834851Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.838388Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.837997Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.727143Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.726783Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.730313Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.729822Z"
     }
    },
    "outputs": [
@@ -87,10 +87,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.840169Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.839874Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.843100Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.842738Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.732094Z",
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+     "iopub.status.idle": "2024-02-14T16:30:59.735154Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.734697Z"
     }
    },
    "outputs": [
@@ -123,10 +123,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.844912Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.844557Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.953340Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.952909Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.736807Z",
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+     "iopub.status.idle": "2024-02-14T16:30:59.845106Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.844714Z"
     }
    },
    "outputs": [],
@@ -150,10 +150,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.955284Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.954885Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.958117Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.957726Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.847182Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.846827Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.850001Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.849554Z"
     }
    },
    "outputs": [
@@ -177,10 +177,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.959877Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.959615Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.962793Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.962385Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.851610Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.851451Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.854675Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.854277Z"
     }
    },
    "outputs": [
@@ -204,10 +204,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.964564Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.964264Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.967311Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.966854Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.856243Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.856086Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.859155Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.858767Z"
     }
    },
    "outputs": [
@@ -231,10 +231,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.969087Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.968692Z",
-     "iopub.status.idle": "2024-02-06T01:09:49.971841Z",
-     "shell.execute_reply": "2024-02-06T01:09:49.971377Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.860824Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.860659Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.863848Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.863457Z"
     }
    },
    "outputs": [
@@ -266,10 +266,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:49.973484Z",
-     "iopub.status.busy": "2024-02-06T01:09:49.973326Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.003529Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.003142Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.865583Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.865268Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.895070Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.894684Z"
     }
    },
    "outputs": [
@@ -338,10 +338,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.005449Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.004972Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.008180Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.007801Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.896838Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.896541Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.899767Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.899288Z"
     }
    },
    "outputs": [
@@ -367,10 +367,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.010006Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.009588Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.012047Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.011571Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.901620Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.901214Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.903666Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.903175Z"
     }
    },
    "outputs": [],
@@ -383,10 +383,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.013985Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.013501Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.016707Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.016349Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.905497Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.905194Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.908527Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.908036Z"
     }
    },
    "outputs": [
@@ -424,10 +424,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.018582Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.018128Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.087961Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.087405Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.910345Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.909983Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.979559Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.979149Z"
     }
    },
    "outputs": [],
@@ -440,10 +440,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.090102Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.089889Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.096447Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.096042Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.981597Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.981234Z",
+     "iopub.status.idle": "2024-02-14T16:30:59.987856Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.987463Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -502,10 +502,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.098133Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.097974Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.108928Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.108432Z"
+     "iopub.execute_input": "2024-02-14T16:30:59.989571Z",
+     "iopub.status.busy": "2024-02-14T16:30:59.989272Z",
+     "iopub.status.idle": "2024-02-14T16:31:00.000169Z",
+     "shell.execute_reply": "2024-02-14T16:30:59.999798Z"
     }
    },
    "outputs": [
@@ -530,10 +530,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:50.110663Z",
-     "iopub.status.busy": "2024-02-06T01:09:50.110473Z",
-     "iopub.status.idle": "2024-02-06T01:09:50.114067Z",
-     "shell.execute_reply": "2024-02-06T01:09:50.113586Z"
+     "iopub.execute_input": "2024-02-14T16:31:00.001840Z",
+     "iopub.status.busy": "2024-02-14T16:31:00.001655Z",
+     "iopub.status.idle": "2024-02-14T16:31:00.004990Z",
+     "shell.execute_reply": "2024-02-14T16:31:00.004613Z"
     }
    },
    "outputs": [
diff --git a/advanced-python/README.html b/advanced-python/README.html
index 0414c58a..2552c988 100644
--- a/advanced-python/README.html
+++ b/advanced-python/README.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/genindex.html b/genindex.html
index e3b0c02b..e197015c 100644
--- a/genindex.html
+++ b/genindex.html
@@ -352,9 +352,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/01-basics.html b/git/01-basics.html
index 649f79a2..3237d5c3 100644
--- a/git/01-basics.html
+++ b/git/01-basics.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/02-setup.html b/git/02-setup.html
index f89391bb..7c5dde92 100644
--- a/git/02-setup.html
+++ b/git/02-setup.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/03-create.html b/git/03-create.html
index 48f29491..20c124b2 100644
--- a/git/03-create.html
+++ b/git/03-create.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/04-changes.html b/git/04-changes.html
index 7f806204..34cc0aa8 100644
--- a/git/04-changes.html
+++ b/git/04-changes.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/05-history.html b/git/05-history.html
index 9873722d..c11d151e 100644
--- a/git/05-history.html
+++ b/git/05-history.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/06-ignore.html b/git/06-ignore.html
index 35d8bacb..7f025315 100644
--- a/git/06-ignore.html
+++ b/git/06-ignore.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/07-gitlab.html b/git/07-gitlab.html
index 211449ad..50bd2b2d 100644
--- a/git/07-gitlab.html
+++ b/git/07-gitlab.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/08-share.html b/git/08-share.html
index 55fdfc79..fccd3f0d 100644
--- a/git/08-share.html
+++ b/git/08-share.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/09-pullrequests.html b/git/09-pullrequests.html
index ab9c28b9..21f1cdf2 100644
--- a/git/09-pullrequests.html
+++ b/git/09-pullrequests.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/10-conflict.html b/git/10-conflict.html
index 2afe7d6c..6e2a1007 100644
--- a/git/10-conflict.html
+++ b/git/10-conflict.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/11-ci.html b/git/11-ci.html
index 3ec4dc3e..b2196da7 100644
--- a/git/11-ci.html
+++ b/git/11-ci.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/12-open.html b/git/12-open.html
index d3ffce38..76a6fbbc 100644
--- a/git/12-open.html
+++ b/git/12-open.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/13-licensing.html b/git/13-licensing.html
index b7504721..f4fc5a8b 100644
--- a/git/13-licensing.html
+++ b/git/13-licensing.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/14-citation.html b/git/14-citation.html
index a9bf4a52..1d4bddb9 100644
--- a/git/14-citation.html
+++ b/git/14-citation.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/git/README.html b/git/README.html
index e6aa3a68..d2dcbdc0 100644
--- a/git/README.html
+++ b/git/README.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/index.html b/index.html
index 3bf0617f..d3948403 100644
--- a/index.html
+++ b/index.html
@@ -354,9 +354,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -781,9 +786,9 @@ <h2>Usage<a class="headerlink" href="#usage" title="Link to this heading"></a
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/objects.inv b/objects.inv
index 9f82b35bd01a2049c3819e8ab4b70975e6ae4fea..33c5bf0c7b9b87e40cc99143f5e3b88bc131dfd9 100644
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index 5b96c48c..6e951f5b 100644
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+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
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diff --git a/python/01basics.html b/python/01basics.html
index d8da91e6..f4471e1e 100644
--- a/python/01basics.html
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+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
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 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
@@ -1111,7 +1116,7 @@ <h2>Python variable assignement<a class="headerlink" href="#Python-variable-assi
 </pre></div>
 </div>
 </div>
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+<p><img alt="reference2" src="../_images/python_references2.jpg" /></p>
 <div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[37]:
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diff --git a/python/01basics.ipynb b/python/01basics.ipynb
index 90cbf288..8b14272c 100644
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@@ -627,10 +627,10 @@
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@@ -668,10 +668,10 @@
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@@ -707,10 +707,10 @@
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@@ -748,10 +748,10 @@
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@@ -793,10 +793,10 @@
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@@ -821,10 +821,10 @@
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@@ -863,10 +863,10 @@
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@@ -893,10 +893,10 @@
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@@ -934,10 +934,10 @@
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@@ -979,10 +979,10 @@
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@@ -1031,10 +1031,10 @@
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@@ -1053,10 +1053,10 @@
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@@ -1089,10 +1089,10 @@
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@@ -1116,10 +1116,10 @@
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@@ -1174,10 +1174,10 @@
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@@ -1193,10 +1193,10 @@
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@@ -1212,10 +1212,10 @@
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@@ -1255,10 +1255,10 @@
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@@ -1284,10 +1284,10 @@
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@@ -1323,10 +1323,10 @@
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@@ -1352,10 +1352,10 @@
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@@ -1405,10 +1405,10 @@
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@@ -1436,10 +1436,10 @@
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@@ -1468,10 +1468,10 @@
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@@ -1510,10 +1510,10 @@
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@@ -1541,10 +1541,10 @@
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      "slide_type": "subslide"
@@ -1582,10 +1582,10 @@
    "execution_count": 41,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.270780Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.272270Z"
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      "slide_type": "subslide"
@@ -1601,10 +1601,10 @@
    "execution_count": 42,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T01:09:52.276441Z"
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     "slideshow": {
      "slide_type": "subslide"
@@ -1648,10 +1648,10 @@
    "execution_count": 43,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T01:09:52.280543Z"
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     "slideshow": {
      "slide_type": "subslide"
@@ -1677,10 +1677,10 @@
    "execution_count": 44,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T01:09:52.284612Z"
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      "slide_type": "subslide"
@@ -1716,10 +1716,10 @@
    "execution_count": 45,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-06T01:09:52.288861Z"
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     "slideshow": {
      "slide_type": "subslide"
@@ -1780,10 +1780,10 @@
    "execution_count": 46,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.291074Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.293247Z"
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     "slideshow": {
      "slide_type": "subslide"
@@ -1812,10 +1812,10 @@
    "execution_count": 47,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.295379Z",
-     "iopub.status.busy": "2024-02-06T01:09:52.295089Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.297955Z"
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     }
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    "outputs": [
@@ -1840,10 +1840,10 @@
    "execution_count": 48,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.300088Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.302336Z"
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     }
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    "outputs": [
@@ -1878,10 +1878,10 @@
    "execution_count": 49,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.304571Z",
-     "iopub.status.busy": "2024-02-06T01:09:52.304218Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.306567Z"
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     },
     "slideshow": {
      "slide_type": "subslide"
@@ -1906,10 +1906,10 @@
    "execution_count": 50,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.308671Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.310565Z"
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     },
     "slideshow": {
      "slide_type": "subslide"
@@ -2005,10 +2005,10 @@
    "execution_count": 51,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:52.312912Z",
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-     "shell.execute_reply": "2024-02-06T01:09:52.314965Z"
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     },
     "slideshow": {
      "slide_type": "subslide"
diff --git a/python/README.html b/python/README.html
index 0b03e0af..8dccd149 100644
--- a/python/README.html
+++ b/python/README.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/classes.html b/python/classes.html
index 40d9993a..46a2542b 100644
--- a/python/classes.html
+++ b/python/classes.html
@@ -358,9 +358,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/classes.ipynb b/python/classes.ipynb
index be74414e..fd98f313 100644
--- a/python/classes.ipynb
+++ b/python/classes.ipynb
@@ -26,10 +26,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.708732Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.708357Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.767599Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.767123Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.837948Z",
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+     "iopub.status.idle": "2024-02-14T16:31:04.896708Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.896238Z"
     }
    },
    "outputs": [],
@@ -42,10 +42,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.770984Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.770079Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.774291Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.773875Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.900066Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.899203Z",
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+     "shell.execute_reply": "2024-02-14T16:31:04.903006Z"
     }
    },
    "outputs": [],
@@ -66,10 +66,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.777302Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.776498Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.783862Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.783438Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.906453Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.905602Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.913403Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.912988Z"
     }
    },
    "outputs": [
@@ -100,10 +100,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.786886Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.786061Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.790224Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.789808Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.916427Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.915630Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.920096Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.919682Z"
     }
    },
    "outputs": [],
@@ -124,10 +124,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.793217Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.792404Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.797454Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.797039Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.923147Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.922343Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.927412Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.926988Z"
     }
    },
    "outputs": [
@@ -165,10 +165,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.800562Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.799754Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.803325Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.802899Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.930482Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.929627Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.933248Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.932834Z"
     }
    },
    "outputs": [],
@@ -186,10 +186,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.807560Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.805466Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.811827Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.811418Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.936188Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.935400Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.940420Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.940007Z"
     }
    },
    "outputs": [
@@ -220,10 +220,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.814836Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.814003Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.817735Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.817315Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.943421Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.942621Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.946331Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.945910Z"
     }
    },
    "outputs": [],
@@ -241,10 +241,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.820709Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.819914Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.825172Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.824758Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.949283Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.948482Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.953758Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.953320Z"
     }
    },
    "outputs": [
@@ -276,10 +276,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.828004Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.827339Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.831053Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.830711Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.956327Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.955918Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.959278Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.958916Z"
     }
    },
    "outputs": [],
@@ -308,10 +308,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.833127Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.832824Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.835892Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.835408Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.961121Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.960827Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.964114Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.963747Z"
     }
    },
    "outputs": [
@@ -365,10 +365,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.837474Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.837318Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.840287Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.839826Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.966081Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.965791Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.968878Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.968536Z"
     }
    },
    "outputs": [],
@@ -399,10 +399,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.841816Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.841666Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.844094Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.843628Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.970810Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.970520Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.973013Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.972683Z"
     }
    },
    "outputs": [],
@@ -418,10 +418,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.845880Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.845599Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.848851Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.848394Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.974787Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.974634Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.977646Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.977259Z"
     }
    },
    "outputs": [
@@ -459,10 +459,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.850599Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.850277Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.853347Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.852876Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.979472Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.979321Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.982353Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.981901Z"
     }
    },
    "outputs": [
@@ -527,10 +527,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.855164Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.854881Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.858543Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.858027Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.984166Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.983885Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.987332Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.986961Z"
     }
    },
    "outputs": [],
@@ -562,10 +562,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.860226Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.859923Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.862295Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.861923Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.989035Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.988784Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.991186Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.990834Z"
     }
    },
    "outputs": [],
@@ -600,10 +600,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.864133Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.863840Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.866319Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.865934Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.992941Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.992649Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.995106Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.994670Z"
     }
    },
    "outputs": [],
@@ -620,10 +620,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.868135Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.867825Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.870377Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.869916Z"
+     "iopub.execute_input": "2024-02-14T16:31:04.996917Z",
+     "iopub.status.busy": "2024-02-14T16:31:04.996565Z",
+     "iopub.status.idle": "2024-02-14T16:31:04.999138Z",
+     "shell.execute_reply": "2024-02-14T16:31:04.998679Z"
     }
    },
    "outputs": [],
@@ -639,10 +639,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.872129Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.871838Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.874882Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.874468Z"
+     "iopub.execute_input": "2024-02-14T16:31:05.000998Z",
+     "iopub.status.busy": "2024-02-14T16:31:05.000579Z",
+     "iopub.status.idle": "2024-02-14T16:31:05.003909Z",
+     "shell.execute_reply": "2024-02-14T16:31:05.003518Z"
     }
    },
    "outputs": [
@@ -702,10 +702,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-06T01:09:54.876455Z",
-     "iopub.status.busy": "2024-02-06T01:09:54.876314Z",
-     "iopub.status.idle": "2024-02-06T01:09:54.878978Z",
-     "shell.execute_reply": "2024-02-06T01:09:54.878585Z"
+     "iopub.execute_input": "2024-02-14T16:31:05.005680Z",
+     "iopub.status.busy": "2024-02-14T16:31:05.005353Z",
+     "iopub.status.idle": "2024-02-14T16:31:05.007915Z",
+     "shell.execute_reply": "2024-02-14T16:31:05.007546Z"
     }
    },
    "outputs": [],
diff --git a/python/conditions.html b/python/conditions.html
index de273341..524a1b1a 100644
--- a/python/conditions.html
+++ b/python/conditions.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/dictionaries.html b/python/dictionaries.html
index 81639eae..5ffc148a 100644
--- a/python/dictionaries.html
+++ b/python/dictionaries.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/first_histogram.html b/python/first_histogram.html
index 9276ee66..95534160 100644
--- a/python/first_histogram.html
+++ b/python/first_histogram.html
@@ -357,9 +357,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/further_reading.html b/python/further_reading.html
index e97fdbc5..506ee1b9 100644
--- a/python/further_reading.html
+++ b/python/further_reading.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/learning.html b/python/learning.html
index 07ff9bdc..4d217c82 100644
--- a/python/learning.html
+++ b/python/learning.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/lists.html b/python/lists.html
index 2ff2561a..818b5b0b 100644
--- a/python/lists.html
+++ b/python/lists.html
@@ -357,9 +357,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/methods.html b/python/methods.html
index 1323901f..cde86c49 100644
--- a/python/methods.html
+++ b/python/methods.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/modules.html b/python/modules.html
index cc234077..1a4d1f5a 100644
--- a/python/modules.html
+++ b/python/modules.html
@@ -357,9 +357,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/numbers.html b/python/numbers.html
index 218d1266..f911e120 100644
--- a/python/numbers.html
+++ b/python/numbers.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/operators.html b/python/operators.html
index 1e1f51a2..677eb33c 100644
--- a/python/operators.html
+++ b/python/operators.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/running.html b/python/running.html
index 7f53a4ff..9c51c96b 100644
--- a/python/running.html
+++ b/python/running.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/scripting.html b/python/scripting.html
index 1bb9623f..957a90e1 100644
--- a/python/scripting.html
+++ b/python/scripting.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/python/strings.html b/python/strings.html
index 95d41611..da2500a4 100644
--- a/python/strings.html
+++ b/python/strings.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/search.html b/search.html
index 7ab2de3b..e279b6c7 100644
--- a/search.html
+++ b/search.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/searchindex.js b/searchindex.js
index 7139ea73..b8381b2d 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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55, 56, 57], "autom": [3, 31, 32, 58, 60, 61], "sytl": 3, "checker": 3, "linter": 3, "flake8": [3, 39], "either": [3, 5, 13, 22, 46, 47, 55, 57, 59], "plugin": 3, "favourit": [3, 37, 49, 54], "editor": [3, 18, 20, 22, 29, 32, 35, 43, 50, 56, 59, 60, 62], "care": [3, 4, 6, 7, 12, 13, 14, 19, 25, 32, 33, 48, 51, 54, 56, 57, 58, 59, 62], "though": [3, 5, 6, 10, 12, 16, 23, 28, 34, 37, 39, 51, 56, 58, 59, 60, 61, 62], "occasion": [3, 28], "better": [3, 5, 6, 7, 8, 9, 10, 12, 17, 20, 24, 25, 30, 31, 34, 36, 41, 42, 49, 56, 60, 62], "break": [3, 5, 18, 20, 26, 37, 43, 47, 49, 56, 62], "rule": [3, 5, 16, 22, 32, 42, 43, 56], "easier": [3, 6, 21, 24, 28, 29, 32, 39, 41, 53, 55, 57, 60], "read": [3, 5, 6, 12, 14, 18, 21, 24, 26, 28, 34, 37, 40, 41, 42, 43, 54, 55, 57, 58, 59, 60, 61, 62], "restart": [3, 34], "kernal": 3, "24": [3, 4, 5, 6, 7, 11, 14, 26, 34, 39, 47, 52, 58, 60, 61], "few": [4, 5, 6, 7, 12, 16, 18, 20, 21, 22, 26, 27, 28, 29, 34, 36, 41, 45, 47, 55, 56, 57, 58, 59, 61], "relat": 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42, 43, 44, 46, 47, 54, 55, 56, 57, 58, 59, 60, 62], "d1": 4, "d2": 4, "d3": 4, "d4": 4, "noth": [4, 5, 17, 19, 20, 22, 33, 45, 47, 48, 52, 55, 56, 57, 58, 59, 62], "simpli": [4, 5, 11, 13, 23, 25, 34, 44, 47, 52, 54, 58, 59, 62], "empti": [4, 20, 37, 42, 44, 49, 56, 59, 60, 62], "advantag": [4, 7, 47, 55, 59, 61, 62], "multipl": [4, 6, 7, 10, 16, 17, 20, 22, 32, 33, 36, 37, 42, 43, 44, 46, 48, 53, 55, 56, 60, 62], "ad": [4, 7, 12, 13, 15, 16, 20, 21, 22, 23, 25, 26, 29, 32, 33, 34, 39, 43, 44, 48, 54, 57, 59], "doe": [4, 5, 6, 11, 12, 13, 20, 21, 22, 23, 25, 26, 27, 28, 31, 34, 36, 37, 38, 42, 43, 44, 55, 56, 57, 58, 59, 60, 61, 62], "possibl": [4, 5, 9, 11, 12, 17, 18, 21, 24, 34, 36, 37, 41, 43, 44, 47, 51, 54, 55, 58, 62], "ill": [4, 21], "defin": [4, 7, 8, 10, 12, 13, 14, 22, 27, 33, 34, 37, 38, 42, 43, 44, 48, 49, 54, 59, 62], "d": [4, 5, 14, 23, 29, 34, 38, 41, 42, 43, 44, 47, 51, 52, 53, 55, 57, 59, 60], "g": [4, 8, 10, 12, 13, 15, 20, 21, 22, 23, 26, 34, 36, 41, 42, 45, 47, 53, 54, 55, 56, 59, 60, 62], "h": [4, 6, 7, 11, 15, 18, 23, 33, 39, 48, 53, 54, 55, 59, 60], "should": [4, 5, 6, 11, 14, 19, 20, 21, 23, 24, 25, 26, 27, 29, 32, 35, 36, 37, 39, 41, 42, 43, 44, 51, 52, 53, 54, 55, 56, 57, 59, 60, 61, 62], "understand": [4, 17, 18, 21, 24, 25, 27, 34, 35, 42, 44, 55, 57, 58, 59, 61, 62], "arg": [4, 5, 43, 62], "func": [4, 43], "mykwarg": 4, "myarg": 4, "statement": [4, 6, 29, 37, 42, 43, 44], "basic": [4, 5, 6, 12, 13, 16, 17, 24, 28, 32, 35, 36, 44, 47, 50, 54, 55, 57, 60], "perform": [4, 8, 10, 11, 12, 13, 14, 15, 23, 26, 37, 42, 45, 46, 54, 60, 61, 62], "enter": [4, 6, 18, 19, 21, 24, 32, 33, 34, 39, 47, 48, 49, 54, 55, 57, 58, 61, 62], "again": [4, 6, 8, 10, 14, 20, 21, 22, 25, 26, 27, 33, 34, 36, 38, 42, 43, 47, 48, 49, 51, 52, 54, 55, 56, 58, 59, 60, 61, 62], "exit": [4, 18, 27, 33, 39, 44, 47, 48, 54, 55, 56, 58, 59, 62], "var": [4, 6, 7, 8, 10, 14, 43, 52], "translat": [4, 5, 55, 61], "return_from_context_entering_cod": 4, "leav": [4, 6, 21, 47, 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51, 54, 55, 56, 57, 58, 59, 60, 61, 62], "iter": [4, 10, 16, 32, 37, 38, 42, 43, 58], "everytim": 4, "suppos": [4, 6, 20, 21, 26, 43, 56, 57, 58, 59, 62], "asynchron": 4, "wait": [4, 12, 18, 27, 55, 59, 62], "contextlib": 4, "contextmanag": 4, "printer": [4, 61], "number": [4, 6, 7, 9, 10, 11, 12, 14, 20, 21, 25, 26, 27, 28, 32, 35, 38, 39, 42, 43, 44, 46, 49, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "insid": [4, 14, 19, 20, 32, 34, 35, 39, 42, 43, 49, 51, 52, 54, 55, 58, 59, 60, 62], "state": [4, 14, 16, 20, 21, 23, 28, 29, 30, 31, 34, 36, 57], "set": [4, 5, 6, 7, 8, 10, 11, 13, 14, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 31, 32, 34, 39, 43, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "tmp": [4, 6, 7, 8, 10, 12, 41, 55, 59, 62], "txt": [4, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 41, 54, 55, 56, 57, 58, 59, 60, 62], "w": [4, 12, 14, 18, 44, 53, 54, 55, 57, 60, 62], "textfil": 4, "asdf": 4, "implement": [4, 5, 8, 11, 14, 16, 29, 31, 32, 38, 40, 43, 44, 61], "roughli": [4, 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"__exit__": 4, "mycontext": 4, "__init__": [4, 5, 13, 14, 36, 44], "self": [4, 7, 16, 32, 36, 55, 59], "type_": 4, "go": [4, 5, 6, 8, 12, 14, 19, 20, 21, 23, 24, 25, 26, 27, 29, 33, 34, 35, 36, 38, 39, 42, 43, 44, 46, 47, 48, 49, 54, 55, 56, 57, 58, 59, 60, 61, 62], "detail": [4, 5, 20, 25, 26, 27, 32, 39, 44, 47, 53], "power": [4, 7, 9, 12, 13, 16, 17, 36, 41, 42, 43, 54, 55, 56, 57, 59, 60, 61, 62], "offer": [4, 11, 23, 29, 34], "usus": 4, "enough": [4, 5, 20, 32, 51, 55, 56, 57, 59, 60], "prefer": [4, 5, 14, 18, 32, 39, 41, 43, 44, 57, 62], "doesn": [4, 6, 16, 20, 23, 28, 32, 33, 37, 42, 48, 53, 55, 56, 57, 58, 59, 60, 62], "t": [4, 5, 6, 7, 12, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 32, 33, 36, 37, 38, 39, 41, 42, 43, 47, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "flexibl": [4, 8, 56, 59], "rememb": [4, 10, 14, 18, 20, 21, 23, 25, 43, 52, 53, 54, 55, 58, 59, 62], "figur": [4, 6, 7, 8, 9, 10, 12, 14, 23, 39, 43, 55, 59, 61, 62], "fulli": [4, 11, 36, 47], "hand": [4, 21, 24, 25, 26, 28, 34, 38, 42, 57, 60, 61], "programat": 4, "pattern": [4, 16, 22, 55, 58, 60], "achiev": [4, 6, 9, 14, 25, 37, 56, 60], "integ": [4, 11, 34, 38, 45, 54, 55], "everyth": [4, 5, 14, 16, 19, 20, 21, 22, 23, 26, 31, 32, 33, 36, 37, 39, 44, 47, 48, 55, 56, 57, 58, 60], "make_power_func": 4, "pow3": 4, "4398046511104": 4, "27": [4, 5, 7, 11, 13, 14, 34, 39, 43, 47, 55], "test": [4, 6, 8, 10, 13, 16, 22, 23, 27, 31, 32, 36, 38, 44, 51, 54, 56, 57, 60], "anoth": [4, 6, 7, 12, 13, 16, 18, 19, 20, 21, 23, 24, 26, 29, 34, 35, 37, 38, 39, 42, 43, 44, 47, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "wrapper": [4, 9, 46], "timed_pow3": 4, "fime_func": 4, "hint": [4, 12, 21, 22, 26, 36, 55, 57, 60, 62], "scetch": 4, "time_func": 4, "new_func": 4, "28": [4, 6, 7, 11, 14, 34, 36, 47], "timed_func": 4, "wrapped_func": 4, "29": [4, 7, 11, 14, 34, 42, 47], "add_notim": 4, "30": [4, 6, 7, 11, 12, 13, 14, 16, 27, 34, 36, 42, 47, 57, 58, 59, 61, 62], "add_tim": 4, "31": [4, 6, 7, 14, 16, 34, 43, 47], "32": [4, 14, 16, 18, 34, 52], "1920928955078125e": 4, "33": [4, 16, 34, 44], "syntact": [4, 42], "sugar": [4, 32, 35], "argument": [4, 5, 6, 14, 15, 23, 33, 34, 35, 36, 41, 42, 43, 48, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 62], "certain": [4, 6, 7, 11, 13, 25, 34, 36, 41, 42, 44, 46, 49, 54, 60], "surfac": [4, 26], "higher": [4, 10, 13, 17, 39], "stack": [4, 14, 41, 47, 62], "typic": [4, 6, 7, 12, 14, 26, 27, 39, 43, 44, 52, 55, 57, 62], "encount": [4, 7, 8, 36, 41, 44], "wrong": [4, 7, 12, 19, 21, 36, 41, 54, 56, 58, 59, 60, 62], "type": [4, 5, 6, 10, 11, 12, 14, 18, 20, 21, 22, 32, 35, 36, 37, 38, 41, 43, 44, 45, 46, 47, 50, 51, 52, 55, 56, 57, 58, 59, 60, 61, 62], "caught": 4, "block": [4, 37, 42, 43, 44, 46, 47, 55, 58], "order": [4, 6, 7, 8, 11, 12, 13, 14, 16, 20, 22, 26, 27, 32, 37, 38, 39, 41, 42, 43, 51, 53, 55, 56, 57, 58, 59, 60, 61, 62], "handl": [4, 12, 31, 33, 48, 52, 59, 60, 61, 62], "built": [4, 6, 9, 11, 13, 20, 27, 38, 39, 43, 54, 55, 56, 59, 62], "typeerror": [4, 5, 34, 38, 42, 43], "float": [4, 12, 13, 14, 15, 34, 45], "valueerror": [4, 62], "illeg": 4, "neg": [4, 12, 14, 42, 60], "posit": [4, 7, 8, 9, 10, 14, 22, 33, 42, 43, 48, 49, 57, 60], "runtimeerror": 4, "statu": [4, 19, 20, 21, 22, 25, 26, 27, 53, 55, 62], "pars": [4, 15, 44], "fall": [4, 5], "categori": [4, 7, 44], "keyerror": [4, 34], "indexerror": [4, 34, 42], "rais": [4, 5, 34, 62], "int": [4, 34, 41, 43, 45, 46], "str": [4, 10, 16, 32, 34, 37, 43, 44, 49, 62], "often": [4, 5, 6, 7, 8, 11, 16, 21, 23, 27, 28, 29, 37, 39, 41, 43, 52, 58, 60, 61, 62], "conveni": [4, 6, 26, 34, 47, 57, 58], "messag": [4, 6, 13, 20, 21, 23, 25, 26, 33, 44, 48, 55, 56, 57, 58], "And": [4, 5, 6, 12, 14, 18, 24, 33, 36, 38, 48, 49, 54, 55, 57, 60], "inherit": [4, 11, 32, 35], "attent": [4, 12, 13, 25], "subclass": 4, "never": [4, 5, 32, 37, 42, 43, 46, 49, 55], "baseexcept": 4, "37": [4, 34, 58], "myerror": 4, "pass": [4, 5, 11, 14, 15, 28, 33, 43, 44, 48, 49, 51, 54, 55, 57, 58, 59, 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20, 21, 23, 25, 26, 27, 29, 38, 39, 41, 42, 43, 45, 54, 55, 56, 57, 58, 59, 60, 61, 62], "ha": [1, 3, 4, 5, 7, 8, 10, 12, 13, 14, 18, 19, 20, 21, 23, 24, 25, 26, 28, 29, 31, 33, 34, 35, 36, 38, 39, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "two": [1, 3, 4, 5, 7, 8, 11, 12, 14, 16, 17, 20, 21, 22, 23, 25, 26, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 51, 54, 55, 56, 57, 58, 59, 60, 61, 62], "encourag": [1, 32, 47], "volunt": 1, "final": [1, 4, 7, 10, 14, 22, 24, 25, 28, 42, 43, 51, 54, 55, 57, 58, 59, 60, 62], "sai": [1, 4, 13, 14, 21, 22, 23, 24, 25, 33, 41, 43, 44, 48, 49, 54, 55, 56, 57, 59], "over": [1, 4, 10, 11, 12, 13, 15, 16, 20, 23, 24, 25, 32, 34, 35, 37, 38, 42, 43, 44, 47, 50, 58, 59], "merg": [1, 2, 7, 17, 24, 26, 31, 32, 62], "web": [1, 6, 12, 16, 23, 25, 27, 28, 29, 39, 55, 62], "interfac": [1, 6, 8, 11, 24, 25, 27, 32, 36, 39, 40, 56, 60], "fork": [1, 24, 31, 32], "origin": [1, 6, 8, 10, 13, 14, 16, 23, 24, 26, 27, 31, 32, 42, 55, 57, 58, 60, 62], "profil": [1, 3, 13], "within": [1, 7, 14, 17, 19, 20, 27, 42, 44, 46, 53, 54, 55, 58, 59, 60, 62], "move": [1, 10, 19, 20, 21, 23, 34, 51, 55, 56, 58, 62], "gh": 1, "page": [1, 7, 18, 20, 23, 24, 25, 27, 28, 32, 50, 53, 55, 57, 60, 61], "branch": [1, 19, 20, 21, 22, 23, 24, 25, 26], "signific": [1, 6, 7, 10, 13, 16], "being": [1, 4, 14, 20, 21, 22, 25, 26, 27, 28, 29, 32, 35, 44, 47, 54, 56, 57, 58, 60, 61, 62], "made": [1, 2, 13, 17, 20, 21, 23, 24, 25, 26, 29, 31, 39, 42, 44, 56, 59, 60, 62], "navig": [1, 20, 32, 34, 56, 61], "": [1, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56, 58, 59, 60, 62], "wish": [1, 15, 18, 56], "revis": [1, 20, 28, 55], "requir": [1, 6, 10, 12, 16, 27, 28, 29, 32, 36, 37, 38, 42, 51, 54, 55, 56, 57, 58, 60, 62], "appropri": [1, 2, 7, 12, 14, 20, 25, 26, 28, 43, 46, 62], "individu": [1, 14], "receiv": [1, 7, 25, 57, 58], "feedback": [1, 10, 12, 28], "specif": [1, 4, 6, 10, 20, 21, 22, 24, 32, 34, 35, 38, 42, 43, 44, 50, 52, 54, 55, 60, 61, 62], "automat": [1, 4, 24, 26, 27, 29, 31, 32, 33, 34, 36, 39, 41, 43, 47, 48, 50, 55, 61, 62], "repeat": [1, 13, 24, 49, 54, 58, 59, 61], "need": [1, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 32, 34, 35, 36, 38, 39, 42, 43, 44, 47, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "until": [1, 4, 6, 12, 21, 27, 38, 39, 42, 54, 60, 61], "when": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 32, 33, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "sure": [1, 11, 12, 13, 19, 20, 23, 24, 25, 32, 36, 37, 38, 42, 54, 55, 56, 57, 58, 59, 60], "clone": [1, 24, 26, 31, 32, 44], "up": [1, 4, 7, 8, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 27, 28, 31, 32, 34, 37, 38, 42, 44, 47, 50, 52, 54, 55, 56, 57, 58, 59, 61, 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10, 21, 23, 24, 25, 27, 29, 35, 37, 39, 42, 49, 54, 58, 60, 61], "attribut": [2, 5, 11, 15, 29, 36, 42, 60], "human": [2, 5, 23, 54, 55, 56, 58, 61], "readabl": [2, 5, 15, 23, 34, 37, 41, 42, 43, 44, 54, 55, 60], "summari": [2, 20, 62], "substitut": [2, 58, 62], "full": [2, 10, 13, 20, 21, 23, 26, 27, 36, 42, 55, 56, 57, 60, 62], "legal": [2, 29], "text": [2, 3, 6, 7, 11, 12, 14, 18, 20, 21, 23, 26, 32, 34, 35, 44, 47, 49, 50, 55, 56, 57, 58, 59, 60, 61, 62], "cc": [2, 10, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 55, 56, 57, 58, 59, 60, 61], "BY": [2, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 55, 56, 57, 58, 59, 60, 61], "4": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 32, 34, 36, 37, 38, 39, 41, 42, 43, 45, 46, 47, 55, 56, 57, 58, 59, 60, 61, 62], "share": [2, 3, 7, 8, 10, 13, 14, 22, 23, 26, 27, 28, 29, 31, 32, 54, 55, 62], "ani": [2, 4, 5, 10, 13, 14, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 32, 34, 38, 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54, 55, 56, 57, 59, 60, 61, 62], "link": [2, 23, 24, 25, 28, 32, 50, 55, 60], "indic": [2, 10, 23, 34, 38, 42, 49, 55, 56, 57], "were": [2, 6, 10, 14, 21, 22, 23, 24, 26, 27, 43, 57, 58, 59, 60, 62], "reason": [2, 12, 14, 18, 20, 23, 28, 42, 45, 49, 54, 59, 62], "manner": [2, 38], "endors": 2, "No": [2, 4, 6, 7, 12, 37, 43, 54, 55, 56, 58], "addit": [2, 5, 20, 23, 25, 26, 27, 32, 34, 38, 44, 46, 50, 54, 55, 56, 57, 58, 59, 61, 62], "restrict": [2, 6, 23, 29, 38, 42, 44, 60], "appli": [2, 5, 7, 10, 11, 13, 15, 16, 21, 29, 32, 35, 43, 51, 55, 58], "technolog": 2, "measur": [2, 6, 12, 13, 58, 61, 62], "anyth": [2, 4, 13, 20, 25, 26, 28, 31, 33, 38, 42, 43, 47, 48, 55, 56, 57, 58, 59, 62], "permit": 2, "notic": [2, 19, 20, 21, 22, 34, 44, 49, 54, 55, 56, 60, 62], "compli": 2, "element": [2, 4, 34, 42, 43, 44, 55, 56, 58], "domain": 2, "where": [2, 3, 5, 6, 7, 8, 10, 12, 14, 18, 19, 20, 21, 23, 25, 26, 27, 28, 34, 35, 36, 42, 43, 44, 45, 47, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "applic": [2, 3, 9, 12, 55], "except": [2, 5, 6, 13, 16, 22, 23, 25, 32, 44, 47, 55, 56, 57], "limit": [2, 10, 11, 13, 14, 17, 20, 25, 32, 55, 58, 60], "warranti": 2, "given": [2, 4, 8, 12, 13, 14, 20, 21, 22, 25, 26, 28, 36, 42, 43, 44, 45, 54, 55, 56, 57, 58, 59, 60, 62], "permiss": [2, 6, 24, 25, 29, 51, 52, 54, 55, 60], "necessari": [2, 26, 42, 44, 55, 61], "intend": [2, 31, 47], "For": [2, 4, 5, 6, 7, 9, 10, 12, 13, 17, 18, 20, 22, 24, 28, 32, 34, 36, 37, 39, 42, 43, 44, 45, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "privaci": 2, "moral": 2, "how": [2, 3, 4, 6, 7, 8, 10, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 38, 41, 42, 43, 44, 45, 46, 48, 49, 54, 55, 56, 58, 59, 60, 61, 62], "note": [2, 3, 4, 6, 13, 18, 19, 20, 23, 24, 25, 26, 32, 37, 38, 42, 43, 44, 47, 51, 53, 55, 56, 57, 58, 59, 60, 61, 62], "program": [2, 4, 18, 20, 22, 28, 32, 33, 35, 36, 38, 41, 44, 46, 47, 48, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61], "carpentri": [2, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 50, 55, 56, 57, 58, 59, 60, 61], "osi": 2, "approv": [2, 29], "mit": 2, "herebi": [2, 25, 36], "grant": [2, 29], "charg": [2, 15, 31], "obtain": [2, 6, 9, 11, 12, 13, 14, 16, 28, 33, 48, 51, 60], "deal": [2, 11, 17, 46, 57], "without": [2, 3, 5, 6, 9, 10, 11, 12, 14, 15, 20, 21, 22, 23, 24, 25, 26, 27, 29, 33, 36, 39, 42, 44, 45, 48, 49, 51, 55, 56, 57, 58, 59, 60, 62], "modifi": [2, 20, 21, 22, 25, 26, 27, 28, 31, 33, 39, 42, 44, 48, 49, 54, 58, 59, 60, 62], "distribut": [2, 7, 10, 13, 16, 17, 25, 28, 29, 31, 32, 39, 40, 44, 47, 62], "sublicens": 2, "sell": 2, "whom": 2, "furnish": 2, "subject": [2, 14, 62], "condit": [2, 13, 14, 29, 32, 35, 44, 50], "abov": [2, 3, 4, 5, 6, 8, 10, 12, 14, 16, 18, 19, 21, 24, 26, 28, 32, 34, 36, 39, 42, 43, 44, 47, 51, 52, 54, 55, 56, 58, 60, 62], "copyright": [2, 29, 47], "shall": [2, 14], "substanti": [2, 62], "portion": [2, 20], "THE": 2, "AS": 2, "OF": 2, "OR": [2, 13], "impli": [2, 10, 55], "BUT": 2, "NOT": [2, 4, 36], "TO": 2, "merchant": 2, "fit": [2, 7, 8, 9, 10, 11, 12, 13, 15, 16, 20, 32, 35, 40], "FOR": 2, "A": [2, 3, 4, 5, 7, 10, 11, 12, 14, 17, 21, 23, 24, 25, 26, 27, 28, 29, 34, 36, 38, 39, 40, 42, 43, 47, 49, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62], "particular": [2, 14, 17, 20, 23, 27, 35, 37, 44, 54, 56, 60], "AND": [2, 13, 14], "noninfring": 2, "IN": 2, "NO": 2, "event": [2, 6, 7, 12, 16, 39, 59], "author": [2, 11, 17, 20, 21, 25, 26, 30, 55], "holder": [2, 29], "BE": 2, "liabl": 2, "claim": [2, 62], "damag": 2, "liabil": 2, "whether": [2, 4, 7, 25, 29, 34, 37, 38, 44, 54, 58, 62], "action": [2, 4, 26, 33, 39, 42, 48, 62], "contract": [2, 60], "tort": 2, "aris": [2, 58], "out": [2, 3, 4, 5, 6, 7, 10, 12, 16, 20, 21, 22, 23, 24, 25, 26, 28, 29, 33, 34, 39, 41, 42, 43, 44, 46, 47, 48, 51, 52, 53, 55, 57, 59, 60, 61, 62], "connect": [2, 3, 23, 25, 36, 52, 53, 55, 57], "WITH": 2, "advanc": [3, 6, 7, 9, 10, 12, 13, 32, 34, 35, 50, 60], "python": [3, 5, 6, 7, 9, 10, 11, 12, 13, 15, 21, 27, 29, 32, 33, 36, 37, 38, 39, 42, 43, 45, 46, 48, 49, 62], "tutori": [3, 4, 5, 6, 10, 15, 31, 32, 34, 54, 55], "cover": [3, 4, 6, 16, 20, 22, 34, 36, 50, 55, 56, 61], "skill": [3, 32, 61], "tip": [3, 23, 26, 56], "load": [3, 4, 7, 8, 10, 11, 15, 16, 32, 44, 52, 62], "data": [3, 7, 8, 10, 11, 13, 14, 15, 16, 22, 28, 32, 35, 38, 39, 42, 54, 55, 56, 57, 58, 59, 60, 61, 62], "plot": [3, 8, 9, 10, 12, 14, 15, 16, 22, 27, 32, 35], "matplotlib": [3, 6, 7, 8, 9, 10, 11, 12, 13, 14, 27, 32, 39, 40, 44], "cut": [3, 7, 8, 10, 11, 13, 14, 15, 16, 32, 35, 57, 59, 60], "base": [3, 7, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 32, 36, 39, 40, 44, 55, 56, 57, 58, 59, 60, 61, 62], "selction": 3, "multivari": [3, 12, 16, 32], "analysi": [3, 8, 10, 11, 13, 14, 15, 16, 22, 28, 35, 39, 49, 56, 57, 58, 59], "scikit": [3, 6, 7, 8, 10, 11, 16, 32], "learn": [3, 7, 8, 10, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 52, 55, 56, 57, 58, 59, 60, 61, 62], "uboost": [3, 9], "hep_ml": [3, 9, 12, 14, 32], "neural": [3, 16], "network": [3, 16], "demo": [3, 61], "mutivari": 3, "kinemat": 3, "reweight": [3, 16, 32], "splot": [3, 12, 16, 32], "techniqu": [3, 7, 8, 14, 16, 42, 58, 60], "mutabl": [3, 4, 7, 32, 35, 38, 42, 43], "immut": [3, 34, 38, 49], "object": [3, 4, 5, 6, 7, 10, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 47, 49, 52, 55, 56, 57, 58, 59, 60, 61, 62], "dictionari": [3, 6, 10, 11, 32, 34, 35, 37, 41, 43, 62], "comprehens": [3, 32, 35, 37, 38, 43, 55, 57, 59, 60, 62], "notebook": [3, 7, 9, 10, 13, 14, 15, 16, 28, 29, 32, 34, 39, 47], "moduel": 3, "let": [3, 4, 5, 6, 7, 8, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 25, 26, 33, 34, 35, 36, 42, 43, 44, 45, 47, 48, 52, 54, 55, 56, 57, 59, 60, 62], "compar": [3, 7, 9, 10, 16, 18, 20, 21, 24, 25, 32, 34, 37, 38, 39, 46, 54, 59, 61], "string": [3, 4, 5, 10, 12, 15, 21, 23, 26, 32, 34, 35, 37, 38, 42, 43, 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60, 62], "d1": 4, "d2": 4, "d3": 4, "d4": 4, "noth": [4, 5, 17, 19, 20, 22, 33, 45, 47, 48, 52, 55, 56, 57, 58, 59, 62], "simpli": [4, 5, 11, 13, 23, 25, 34, 44, 47, 51, 52, 54, 58, 59, 62], "empti": [4, 20, 37, 42, 44, 49, 56, 59, 60, 62], "advantag": [4, 7, 47, 55, 59, 61, 62], "multipl": [4, 6, 7, 10, 16, 17, 20, 22, 32, 33, 36, 37, 42, 43, 44, 46, 48, 53, 55, 56, 60, 62], "ad": [4, 7, 12, 13, 15, 16, 20, 21, 22, 23, 25, 26, 29, 32, 33, 34, 39, 43, 44, 48, 54, 57, 59], "doe": [4, 5, 6, 11, 12, 13, 20, 21, 22, 23, 25, 26, 27, 28, 31, 34, 36, 37, 38, 42, 43, 44, 55, 56, 57, 58, 59, 60, 61, 62], "possibl": [4, 5, 9, 11, 12, 17, 18, 21, 24, 34, 36, 37, 41, 43, 44, 47, 51, 54, 55, 58, 62], "ill": [4, 21], "defin": [4, 7, 8, 10, 12, 13, 14, 22, 27, 33, 34, 37, 38, 42, 43, 44, 48, 49, 54, 59, 62], "d": [4, 5, 14, 23, 29, 34, 38, 41, 42, 43, 44, 47, 51, 52, 53, 55, 57, 59, 60], "g": [4, 8, 10, 12, 13, 15, 20, 21, 22, 23, 26, 34, 36, 41, 42, 45, 47, 53, 54, 55, 56, 59, 60, 62], "h": [4, 6, 7, 11, 15, 18, 23, 33, 39, 48, 53, 54, 55, 59, 60], "should": [4, 5, 6, 11, 14, 19, 20, 21, 23, 24, 25, 26, 27, 29, 32, 35, 36, 37, 39, 41, 42, 43, 44, 51, 52, 53, 54, 55, 56, 57, 59, 60, 61, 62], "understand": [4, 17, 18, 21, 24, 25, 27, 34, 35, 42, 44, 55, 57, 58, 59, 61, 62], "arg": [4, 5, 43, 62], "func": [4, 43], "mykwarg": 4, "myarg": 4, "statement": [4, 6, 29, 37, 42, 43, 44], "basic": [4, 5, 6, 12, 13, 16, 17, 24, 28, 32, 35, 36, 44, 47, 50, 54, 55, 57, 60], "perform": [4, 8, 10, 11, 12, 13, 14, 15, 23, 26, 37, 42, 45, 46, 54, 60, 61, 62], "enter": [4, 6, 18, 19, 21, 24, 32, 33, 34, 39, 47, 48, 49, 54, 55, 57, 58, 61, 62], "again": [4, 6, 8, 10, 14, 20, 21, 22, 25, 26, 27, 33, 34, 36, 38, 42, 43, 47, 48, 49, 51, 54, 55, 56, 58, 59, 60, 61, 62], "exit": [4, 18, 27, 33, 39, 44, 47, 48, 54, 55, 56, 58, 59, 62], "var": [4, 6, 7, 8, 10, 14, 43, 52], "translat": [4, 5, 55, 61], "return_from_context_entering_cod": 4, "leav": [4, 6, 21, 47, 56, 62], "great": [4, 5, 16, 31, 33, 41, 47, 48, 49, 50, 54, 55, 56, 61], "here": [4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 18, 19, 21, 23, 25, 26, 27, 31, 32, 34, 36, 37, 39, 41, 42, 43, 44, 46, 47, 49, 52, 55, 56, 57, 58, 59, 60, 61, 62], "whenev": [4, 18, 43, 47, 61], "step": [4, 6, 10, 13, 14, 16, 17, 21, 23, 24, 25, 26, 28, 36, 39, 42, 51, 55, 56, 57, 58, 59, 60, 61, 62], "prove": [4, 56], "incredibli": 4, "cleanup": 4, "yet": [4, 5, 6, 8, 15, 16, 20, 23, 25, 34, 36, 47, 56, 58, 59], "tediou": [4, 39, 43, 58], "manual": [4, 15, 18, 20, 32, 50, 51, 55, 60, 62], "forgotten": 4, "One": [4, 6, 7, 15, 20, 24, 27, 28, 33, 41, 48, 49, 51, 54, 56, 58, 59, 60, 62], "executioin": 4, "stop": [4, 11, 16, 26, 27, 32, 36, 37, 55, 57], "point": [4, 7, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 39, 44, 54, 55, 56, 57, 58, 59, 60, 62], "continu": [4, 7, 13, 22, 25, 27, 51, 52, 57], "wa": [4, 10, 11, 12, 14, 15, 20, 21, 23, 24, 26, 28, 29, 32, 33, 34, 36, 42, 47, 48, 51, 54, 55, 56, 57, 58, 59, 60, 61, 62], "iter": [4, 10, 16, 32, 37, 38, 42, 43, 58], "everytim": 4, "suppos": [4, 6, 20, 21, 26, 43, 56, 57, 58, 59, 62], "asynchron": 4, "wait": [4, 12, 18, 27, 55, 59, 62], "contextlib": 4, "contextmanag": 4, "printer": [4, 61], "number": [4, 6, 7, 9, 10, 11, 12, 14, 20, 21, 25, 26, 27, 28, 32, 35, 38, 39, 42, 43, 44, 46, 49, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "insid": [4, 14, 19, 20, 32, 34, 35, 39, 42, 43, 49, 51, 52, 54, 55, 58, 59, 60, 62], "state": [4, 14, 16, 20, 21, 23, 28, 29, 30, 31, 34, 36, 57], "set": [4, 5, 6, 7, 8, 10, 11, 13, 14, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 31, 32, 34, 39, 43, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "tmp": [4, 6, 7, 8, 10, 12, 41, 55, 59, 62], "txt": [4, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 41, 54, 55, 56, 57, 58, 59, 60, 62], "w": [4, 12, 14, 18, 44, 53, 54, 55, 57, 60, 62], "textfil": 4, "asdf": 4, "implement": [4, 5, 8, 11, 14, 16, 29, 31, 32, 38, 40, 43, 44, 61], "roughli": [4, 23], "myopen": 4, "mode": [4, 20, 24, 26, 34, 55, 58, 59], "close": [4, 6, 7, 12, 21, 25, 28, 35, 39, 42, 44, 51, 53, 54, 56], "temporarili": [4, 57], "42": [4, 5, 9, 12, 34, 36, 39, 42, 43, 44], "switch": [4, 8, 24, 25, 47, 53, 55], "back": [4, 5, 6, 10, 12, 16, 17, 20, 21, 23, 24, 25, 28, 33, 36, 38, 39, 43, 44, 48, 51, 52, 55, 56, 57, 58, 59, 61], "old": [4, 13, 20, 21, 26, 47, 51, 55, 56, 60], "testdict": 4, "name": [4, 5, 6, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 26, 27, 32, 33, 34, 36, 37, 39, 41, 42, 43, 44, 46, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "answer": [4, 5, 7, 12, 20, 21, 28, 36, 41, 45, 46, 55, 57, 58, 59, 60], "invok": [4, 5], "solut": [4, 5, 10, 12, 14, 19, 20, 21, 22, 23, 24, 25, 26, 36, 37, 38, 39, 42, 43, 44, 46, 54, 55, 56, 57, 58, 59, 60, 62], "var1": 4, "set_answ": 4, "old_valu": 4, "instead": [4, 6, 7, 10, 11, 14, 18, 20, 21, 22, 23, 25, 26, 36, 37, 38, 42, 44, 46, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "__enter__": 4, "__exit__": 4, "mycontext": 4, "__init__": [4, 5, 13, 14, 36, 44], "self": [4, 7, 16, 32, 36, 55, 59], "type_": 4, "go": [4, 5, 6, 8, 12, 14, 19, 20, 21, 23, 24, 25, 26, 27, 29, 33, 34, 35, 36, 38, 39, 42, 43, 44, 46, 47, 48, 49, 54, 55, 56, 57, 58, 59, 60, 61, 62], "detail": [4, 5, 20, 25, 26, 27, 32, 39, 44, 47, 53], "power": [4, 7, 9, 12, 13, 16, 17, 36, 41, 42, 43, 54, 55, 56, 57, 59, 60, 61, 62], "offer": [4, 11, 23, 29, 34], "usus": 4, "enough": [4, 5, 20, 32, 51, 55, 56, 57, 59, 60], "prefer": [4, 5, 14, 18, 32, 39, 41, 43, 44, 51, 57, 62], "doesn": [4, 6, 16, 20, 23, 28, 32, 33, 37, 42, 48, 53, 55, 56, 57, 58, 59, 60, 62], "t": [4, 5, 6, 7, 12, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 32, 33, 36, 37, 38, 39, 41, 42, 43, 47, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "flexibl": [4, 8, 56, 59], "rememb": [4, 10, 14, 18, 20, 21, 23, 25, 43, 52, 53, 54, 55, 58, 59, 62], "figur": [4, 6, 7, 8, 9, 10, 12, 14, 23, 39, 43, 55, 59, 61, 62], "fulli": [4, 11, 36, 47], "hand": [4, 21, 24, 25, 26, 28, 34, 38, 42, 57, 60, 61], "programat": 4, "pattern": [4, 16, 22, 55, 58, 60], "achiev": [4, 6, 9, 14, 25, 37, 56, 60], "integ": [4, 11, 34, 38, 45, 54, 55], "everyth": [4, 5, 14, 16, 19, 20, 21, 22, 23, 26, 31, 32, 33, 36, 37, 39, 44, 47, 48, 55, 56, 57, 58, 60], "make_power_func": 4, "pow3": 4, "26": [4, 5, 7, 11, 13, 14, 34, 39, 47, 52, 57, 62], "4398046511104": 4, "27": [4, 5, 7, 11, 14, 34, 39, 43, 47, 55], "test": [4, 6, 8, 10, 13, 16, 22, 23, 27, 31, 32, 36, 38, 44, 51, 54, 56, 57, 60], "anoth": [4, 6, 7, 12, 13, 16, 18, 19, 20, 21, 23, 24, 26, 29, 34, 35, 37, 38, 39, 42, 43, 44, 47, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "wrapper": [4, 9, 46], "timed_pow3": 4, "fime_func": 4, "hint": [4, 12, 21, 22, 26, 36, 55, 57, 60, 62], "scetch": 4, "time_func": 4, "new_func": 4, "28": [4, 6, 7, 11, 14, 34, 36, 47], "timed_func": 4, "wrapped_func": 4, "29": [4, 7, 11, 14, 34, 42, 47], "add_notim": 4, "30": [4, 6, 7, 10, 11, 12, 13, 14, 16, 27, 34, 36, 42, 47, 57, 58, 59, 61, 62], "add_tim": 4, "32": [4, 14, 16, 18, 34, 52], "5367431640625e": 4, "07": [4, 20, 21, 30, 55, 57, 58, 59], "33": [4, 16, 34, 44], "syntact": [4, 42], "sugar": [4, 32, 35], "argument": [4, 5, 6, 14, 15, 23, 33, 34, 35, 36, 41, 42, 43, 48, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 62], "certain": [4, 6, 7, 11, 13, 25, 34, 36, 41, 42, 44, 46, 49, 54, 60], "surfac": [4, 26], "higher": [4, 10, 13, 17, 39], "stack": [4, 14, 41, 47, 62], "typic": [4, 6, 7, 12, 14, 26, 27, 39, 43, 44, 55, 57, 62], "encount": [4, 7, 8, 36, 41, 44], "wrong": [4, 7, 12, 19, 21, 36, 41, 54, 56, 58, 59, 60, 62], "type": [4, 5, 6, 10, 11, 12, 14, 18, 20, 21, 22, 32, 35, 36, 37, 38, 41, 43, 44, 45, 46, 47, 50, 51, 52, 55, 56, 57, 58, 59, 60, 61, 62], "caught": 4, "block": [4, 37, 42, 43, 44, 46, 47, 55, 58], "order": [4, 6, 7, 8, 11, 12, 13, 14, 16, 20, 22, 26, 27, 32, 37, 38, 39, 41, 42, 43, 51, 53, 55, 56, 57, 58, 59, 60, 61, 62], "handl": [4, 12, 31, 33, 48, 52, 59, 60, 61, 62], "built": [4, 6, 9, 11, 13, 20, 27, 38, 39, 43, 54, 55, 56, 59, 62], "typeerror": [4, 5, 34, 38, 42, 43], "float": [4, 12, 13, 14, 15, 34, 45], "valueerror": [4, 62], "illeg": 4, "neg": [4, 12, 14, 42, 60], "posit": [4, 7, 8, 9, 10, 14, 22, 33, 42, 43, 48, 49, 57, 60], "runtimeerror": 4, "statu": [4, 19, 20, 21, 22, 25, 26, 27, 53, 55, 62], "pars": [4, 15, 44], "fall": [4, 5], "categori": [4, 7, 44], "keyerror": [4, 34], "indexerror": [4, 34, 42], "rais": [4, 5, 34, 62], "35": [4, 11, 34], "int": [4, 34, 41, 43, 45, 46], "str": [4, 10, 16, 32, 34, 37, 43, 44, 49, 62], "often": [4, 5, 6, 7, 8, 11, 16, 21, 23, 27, 28, 29, 37, 39, 41, 43, 52, 58, 60, 61, 62], "conveni": [4, 6, 26, 34, 47, 57, 58], "messag": [4, 6, 13, 20, 21, 23, 25, 26, 33, 44, 48, 55, 56, 57, 58], "And": [4, 5, 6, 12, 14, 18, 24, 33, 36, 38, 48, 49, 54, 55, 57, 60], "inherit": [4, 11, 32, 35], "attent": [4, 12, 13, 25], "subclass": 4, "never": [4, 5, 32, 37, 42, 43, 46, 49, 55], "baseexcept": 4, "37": [4, 34, 58], "myerror": 4, "pass": [4, 5, 11, 14, 15, 28, 33, 43, 44, 48, 49, 51, 54, 55, 57, 58, 59, 60, 62], "38": [4, 5, 6, 34], "alreadi": [4, 6, 7, 11, 14, 20, 22, 23, 25, 26, 28, 29, 32, 34, 35, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 49, 53, 54, 56, 57, 62], "natur": [4, 25, 28, 37, 55], "negativevalueerror": 4, "next": [4, 5, 6, 10, 12, 14, 17, 20, 21, 22, 23, 24, 25, 34, 36, 37, 46, 47, 55, 58, 59, 61], "specifi": [4, 10, 11, 13, 20, 27, 33, 36, 37, 38, 39, 42, 43, 44, 48, 49, 51, 54, 55, 56, 57, 60, 62], "check": [4, 5, 10, 12, 13, 14, 18, 19, 20, 21, 23, 25, 26, 27, 28, 37, 52, 53, 54, 55, 56, 58, 59, 61, 62], "goe": [4, 6, 7, 12, 21, 54, 55, 57, 58, 61], "ye": [4, 5, 7, 34, 41, 42, 53, 55, 56, 62], "40": [4, 6, 9, 14, 15, 21, 34, 36, 42, 58], "keyword": [4, 6, 27, 41, 42, 43, 44, 54, 58], "inspect": [4, 33, 48, 54, 55, 56], "41": [4, 6, 34, 36, 42], "anti": 4, "gener": [4, 6, 7, 8, 13, 14, 16, 20, 25, 27, 34, 36, 39, 41, 42, 43, 44, 47, 51, 52, 55, 56, 57, 58, 62], "unfortun": [4, 21, 25], "caugth": 4, "43": [4, 34, 42, 43], "therefor": [4, 13, 19, 21, 25, 51, 59], "temporari": [4, 41, 55, 57, 62], "44": [4, 34, 43, 52], "guaranti": 4, "could": [4, 6, 7, 8, 10, 21, 22, 23, 26, 29, 32, 33, 36, 37, 38, 39, 42, 43, 46, 48, 51, 54, 55, 56, 57, 59, 62], "omit": [4, 5, 42, 55], "45": [4, 16, 34, 42, 43, 47], "odd": [4, 36, 58], "effect": [4, 6, 7, 20, 21, 23, 34, 37, 39, 41, 42, 43, 44, 55, 56, 57, 58, 59], "ignor": [4, 6, 10, 14, 19, 25, 31, 32, 55, 59, 60, 62], "IF": [4, 5], "logic": [4, 20, 26, 43], "46": [4, 20, 34, 61], "clean": [4, 6, 20, 22, 23, 25, 41, 59], "47": [4, 34], "elif": [4, 37, 54], "replac": [4, 21, 24, 25, 26, 36, 42, 43, 49, 54, 55, 58, 59, 60, 62], "golden": [4, 43], "steer": 4, "consid": [4, 6, 7, 10, 13, 17, 20, 21, 26, 54, 55, 57, 59, 61, 62], "three": [4, 6, 23, 24, 25, 27, 39, 42, 43, 44, 49, 51, 54, 55, 56, 57, 58, 60, 62], "sake": [4, 10, 55, 56], "favor": 4, "real": [4, 5, 6, 7, 8, 10, 12, 16, 21, 25, 29, 32, 43, 44, 45, 54, 60], "larger": [4, 10, 25, 54, 60], "scale": [4, 6, 7, 14, 55, 62], "too": [4, 6, 7, 10, 20, 21, 22, 25, 29, 37, 41, 44, 55, 56, 57, 59, 60], "complic": [4, 5, 7, 24, 25, 28, 29, 41, 42, 55, 56, 58, 59, 62], "explain": [4, 5, 14, 18, 20, 21, 22, 23, 25, 26, 28, 29, 30, 43, 45, 54, 55, 57, 58, 59, 60, 61, 62], "assum": [4, 6, 8, 14, 39, 42, 55, 56, 57, 58, 59, 60, 62], "third": [4, 20, 42, 43, 56, 57, 60], "solv": [4, 7, 14, 22, 26, 29, 35, 36, 41, 58, 60, 62], "deeper": [4, 17], "nest": [4, 5, 19, 22, 37, 42, 57, 58], "don": [4, 6, 7, 12, 13, 16, 20, 21, 22, 23, 25, 26, 29, 33, 36, 37, 38, 39, 41, 42, 43, 47, 48, 51, 54, 55, 56, 57, 58, 59, 60, 62], "output": [4, 7, 8, 9, 10, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 42, 43, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "48": [4, 34, 52], "50": [4, 6, 11, 12, 14, 16, 20, 21, 25, 34, 36], "result": [4, 7, 8, 10, 12, 13, 14, 15, 16, 22, 26, 28, 33, 37, 43, 45, 46, 47, 48, 49, 55, 56, 57, 58, 60, 61, 62], "focus": [5, 60], "invoc": [5, 55], "demystifi": 5, "oubl": 5, "score": [5, 7, 10, 12], "__meth__": [5, 16], "reserv": 5, 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"Gradient-Boosted-Reweighter"]], "Comparing some simple expressions:": [[12, "Comparing-some-simple-expressions:"]], "GB-discrimination": [[12, "GB-discrimination"]], "Great!": [[12, "Great!"]], "What did just happen?": [[12, "What-did-just-happen?"]], "How to tune": [[12, "How-to-tune"]], "Folding reweighter": [[12, "Folding-reweighter"]], "GB discrimination for reweighting rule": [[12, "GB-discrimination-for-reweighting-rule"]], "8: Likelihood inference": [[13, "8:-Likelihood-inference"]], "Scope of this tutorial": [[13, "Scope-of-this-tutorial"]], "Getting started": [[13, "Getting-started"]], "Difference of the two spaces": [[13, "Difference-of-the-two-spaces"]], "Plotting": [[13, "Plotting"]], "Loss": [[13, "Loss"]], "Fixing parameters": [[13, "Fixing-parameters"]], "9: sPlot": [[14, "9:-sPlot"]], "Simple sPlot example": [[14, "Simple-sPlot-example"]], "Observed distributions": [[14, "Observed-distributions"]], "Applying sWeights": [[14, "Applying-sWeights"]], "Compare": [[14, "Compare"]], "More complex case": [[14, "More-complex-case"]], "Splot": [[14, "Splot"]], "Alternative: Known probabilities": [[14, "Alternative:-Known-probabilities"]], "Building sPlot over mass": [[14, "Building-sPlot-over-mass"]], "Of course we don\u2019t have labels which events are signal and which are background beforehand": [[14, "Of-course-we-don't-have-labels-which-events-are-signal-and-which-are-background-beforehand"]], "We have no information about real labels": [[14, "We-have-no-information-about-real-labels"]], "Fitting doesn\u2019t give us information about real labels": [[14, "Fitting-doesn't-give-us-information-about-real-labels"]], "Appying sPlot": [[14, "Appying-sPlot"]], "Using sWeights to reconstruct initial distribution": [[14, "Using-sWeights-to-reconstruct-initial-distribution"]], "An important requirement of sPlot": [[14, "An-important-requirement-of-sPlot"]], "Derivation of sWeights (optional)": [[14, "Derivation-of-sWeights-(optional)"]], "Under assumption of linearity:": [[14, "Under-assumption-of-linearity:"]], "Minimization of variation": [[14, "Minimization-of-variation"]], "Uncorrelatedness": [[14, "Uncorrelatedness"]], "Conclusion": [[14, "Conclusion"]], "10: Scikit-HEP": [[15, "10:-Scikit-HEP"]], "formulate - converting expressions": [[15, "formulate---converting-expressions"]], "Particle": [[15, "Particle"]], "hepunits": [[15, "hepunits"]], "Vector": [[15, "Vector"]], "Vector properties": [[15, "Vector-properties"]], "Advanced Python Tutorial": [[16, "advanced-python-tutorial"]], "Contents:": [[16, null], [31, null], [32, null], [35, null], [50, null], [61, null]], "Automated Version Control": [[17, "automated-version-control"]], "Setting Up Git": [[18, "setting-up-git"]], "Creating a Repository": [[19, "creating-a-repository"]], "Tracking Changes": [[20, "tracking-changes"]], "Exploring History": [[21, "exploring-history"]], "Ignoring Things": [[22, "ignoring-things"]], "Remotes in CERN GitLab": [[23, "remotes-in-cern-gitlab"]], "Sharing a repository with others": [[24, "sharing-a-repository-with-others"]], "Collaborating with Pull Requests": [[25, "collaborating-with-pull-requests"]], "What is a Pull (or Merge) Request": [[25, "what-is-a-pull-or-merge-request"]], "Fork the original project repository": [[25, "fork-the-original-project-repository"]], "Clone a remote project and its fork": [[25, "clone-a-remote-project-and-its-fork"]], "Sync your local repository with remote changes": [[25, "sync-your-local-repository-with-remote-changes"]], "Implement your new feature": [[25, "implement-your-new-feature"]], "Push changes": [[25, "push-changes"]], "Create a Pull (or Merge) Request": [[25, "create-a-pull-or-merge-request"]], "Discussing, amending, retiring a Merge Request": [[25, "discussing-amending-retiring-a-merge-request"]], "Accepting a Pull Request": [[25, "accepting-a-pull-request"]], "The social side of coding": [[25, "the-social-side-of-coding"]], "Automatic testing": [[25, "automatic-testing"]], "Conflicts": [[26, "conflicts"]], "GitLab CI": [[27, "gitlab-ci"]], "Open Science": [[28, "open-science"]], "Licensing": [[29, "licensing"]], "Citation": [[30, "citation"]], "Git": [[31, "git"]], "Analysis essentials Build Status Binder": [[32, "analysis-essentials-build-status-binder"]], "Prerequisites": [[32, "prerequisites"]], "Local": [[32, "local"]], "Binder": [[32, "binder"]], "Usage": [[32, "usage"]], "Scripting": [[33, "scripting"], [48, "scripting"]], "argparse": [[33, "argparse"], [48, "argparse"]], "Basic types and operations": [[34, "Basic-types-and-operations"]], "strong typing": [[34, "strong-typing"]], "Container types": [[34, "Container-types"]], "Mutability": [[34, "Mutability"]], "dynamic typing": [[34, "dynamic-typing"]], "Assignement and variables": [[34, "Assignement-and-variables"]], "Python variable assignement": [[34, "Python-variable-assignement"]], "Sugar: comprehensions": [[34, "Sugar:-comprehensions"]], "Sugar: using Markdown": [[34, "Sugar:-using-Markdown"]], "An introduction to Python": [[35, "an-introduction-to-python"]], "Classes": [[36, "Classes"]], "Welcome to classes": [[36, "Welcome-to-classes"]], "Inheritance: a glance": [[36, "Inheritance:-a-glance"]], "How to fix": [[36, "How-to-fix"]], "Conditions": [[37, "conditions"]], "Truthiness": [[37, "truthiness"]], "Conditions in loops": [[37, "conditions-in-loops"]], "Dictionaries": [[38, "dictionaries"]], "Dictionary keys": [[38, "dictionary-keys"]], "Making your first histogram": [[39, "making-your-first-histogram"]], "Pandas": [[39, "pandas"]], "Plotting histograms": [[39, "plotting-histograms"]], "Applying cuts": [[39, "applying-cuts"]], "More advanced topics in Python": [[40, "more-advanced-topics-in-python"]], "Nice standard libraries": [[40, "nice-standard-libraries"]], "Nice libraries for data analysis": [[40, "nice-libraries-for-data-analysis"]], "Python and ROOT": [[40, "python-and-root"]], "Learning more": [[41, "learning-more"]], "Exploring Python": [[41, "exploring-python"]], "Conventional coding": [[41, "conventional-coding"]], "Lists and looping": [[42, "lists-and-looping"]], "Looping": [[42, "looping"]], "List comprehension": [[42, "list-comprehension"]], "Tuples": [[42, "tuples"]], "Functions": [[43, "functions"]], "Inline methods": [[43, "inline-methods"]], "Modules": [[44, "modules"]], "Using modules into your code: import": [[44, "using-modules-into-your-code-import"]], "The standard library": [[44, "the-standard-library"]], "Modules from PyPi": [[44, "modules-from-pypi"]], "Modules inside a virtual environment": [[44, "modules-inside-a-virtual-environment"]], "Write your first Python module": [[44, "write-your-first-python-module"]], "Write a structured module": [[44, "write-a-structured-module"]], "Run a module": [[44, "run-a-module"]], "Numbers": [[45, "numbers"]], "Objects and operators": [[46, "objects-and-operators"]], "Objects": [[46, "objects"]], "Running Python": [[47, "running-python"]], "Strings": [[49, "strings"]], "Formatting": [[49, "formatting"]], "UNIX shell": [[50, "unix-shell"]], "Persistent screen or tmux session on lxplus": [[51, "persistent-screen-or-tmux-session-on-lxplus"]], "lxplus7": [[51, "lxplus7"]], "Setting up password-less kerberos token on lxplus7": [[51, "setting-up-password-less-kerberos-token-on-lxplus7"]], "Making use of the keytab on lxplus7": [[51, "making-use-of-the-keytab-on-lxplus7"]], "Using k5reauth to automatically refresh your kerberos token on lxplus7": [[51, "using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7"]], "lxplus8": [[51, "lxplus8"]], "lxplus9": [[51, "lxplus9"]], "Using screen to keep things running": [[52, "using-screen-to-keep-things-running"]], "Advanced screen topics": [[53, "advanced-screen-topics"]], "Finding lost screens": [[53, "finding-lost-screens"]], "Using tabs in screen": [[53, "using-tabs-in-screen"]], "More about the UNIX shell": [[54, "more-about-the-unix-shell"]], "Types of shell": [[54, "types-of-shell"]], "Manual pages": [[54, "manual-pages"]], "Environment variables": [[54, "environment-variables"]], "Variables": [[54, "variables"]], "Differences among files": [[54, "differences-among-files"]], "Looping over files": [[54, "looping-over-files"]], "Conditionals": [[54, "conditionals"]], "Linking commands": [[54, "linking-commands"]], "Pipes and redirection": [[54, "pipes-and-redirection"]], "Bash security": [[54, "bash-security"]], "Complexity": [[54, "complexity"]], "Text viewers": [[54, "text-viewers"]], "Text editors": [[54, "text-editors"]], "Disk space": [[54, "disk-space"]], "Over the Wire and Bandit wargame": [[54, "over-the-wire-and-bandit-wargame"]], "Navigating Files and Directories": [[55, "navigating-files-and-directories"]], "Nelle\u2019s Pipeline: Organizing Files": [[55, "nelle-s-pipeline-organizing-files"]], "Working With Files and Directories": [[56, "working-with-files-and-directories"]], "Pipes and Filters": [[57, "pipes-and-filters"]], "Nelle\u2019s Pipeline: Checking Files": [[57, "nelle-s-pipeline-checking-files"]], "Loops": [[58, "loops"]], "Shell Scripts": [[59, "shell-scripts"]], "Finding Things": [[60, "finding-things"]], "Introducing the Shell": [[61, "introducing-the-shell"]], "Background": [[61, "background"]], "The Command-Line Interface": [[61, "the-command-line-interface"]], "The Shell": [[61, "the-shell"]], "Why bother?": [[61, "why-bother"]], "Nelle\u2019s Pipeline: Starting Point": [[61, "nelle-s-pipeline-starting-point"]], "Analysis automation with Snakemake": [[62, "analysis-automation-with-snakemake"]], "Documentation and environments": [[62, "documentation-and-environments"]], "Workflow preservation": [[62, "workflow-preservation"]], "Basic Tutorial": [[62, "basic-tutorial"]], "What is a workflow?": [[62, "what-is-a-workflow"]], "Why use a workflow management system?": [[62, "why-use-a-workflow-management-system"]], "Introducing Snakemake": [[62, "introducing-snakemake"]], "Re-running rules": [[62, "re-running-rules"]], "Chaining rules": [[62, "chaining-rules"]], "The limits of wildcards": [[62, "the-limits-of-wildcards"]], "Advanced Tutorial": [[62, "advanced-tutorial"]], "Running scripts": [[62, "running-scripts"]], "Log files": [[62, "log-files"]], "Config files": [[62, "config-files"]], "Includes": [[62, "includes"]]}, "indexentries": {}})
\ No newline at end of file
diff --git a/shell-extras/README.html b/shell-extras/README.html
index 836012be..44d6bc6a 100644
--- a/shell-extras/README.html
+++ b/shell-extras/README.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell2.html">More about the UNIX shell</a><ul>
@@ -484,9 +489,14 @@ <h1>UNIX shell<a class="headerlink" href="#unix-shell" title="Link to this headi
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l2"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l2"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l2"><a class="reference internal" href="persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l2"><a class="reference internal" href="persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell-extras/persistent-screen.html b/shell-extras/persistent-screen.html
index 0dc342fe..f2d68d48 100644
--- a/shell-extras/persistent-screen.html
+++ b/shell-extras/persistent-screen.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2 current"><a class="current reference internal" href="#">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell2.html">More about the UNIX shell</a><ul>
@@ -471,8 +476,21 @@
              
   <section id="persistent-screen-or-tmux-session-on-lxplus">
 <h1>Persistent screen or tmux session on lxplus<a class="headerlink" href="#persistent-screen-or-tmux-session-on-lxplus" title="Link to this heading"></a></h1>
-<section id="setting-up-password-less-kerberos-token">
-<h2>Setting up password-less kerberos token<a class="headerlink" href="#setting-up-password-less-kerberos-token" title="Link to this heading"></a></h2>
+<p>The behavior of screen and tmux on lxplus depends on which version of lxplus you are using.</p>
+<section id="lxplus7">
+<h2>lxplus7<a class="headerlink" href="#lxplus7" title="Link to this heading"></a></h2>
+<p>If you are using lxplus7, you must manually initialize a kerberos token to give the screen or tmux session permission to continue to write even after you log out.
+This requires jumping through a few hoops, described below.</p>
+<div class="panel panel-callout docutils container">
+<div class="panel-header open docutils container">
+<p id="alternative-for-lxplus7"><i class="fa fa-info-circle"></i> Alternative for lxplus7</p>
+</div>
+<div class="panel-body docutils container">
+<p>If you prefer, you can follow the instructions in <a class="reference external" href="https://cern.service-now.com/service-portal?id=kb_article&amp;n=KB0002408">KB0002408</a>, instead of those below.</p>
+</div>
+</div>
+<section id="setting-up-password-less-kerberos-token-on-lxplus7">
+<h3>Setting up password-less kerberos token on lxplus7<a class="headerlink" href="#setting-up-password-less-kerberos-token-on-lxplus7" title="Link to this heading"></a></h3>
 <p>In order for the kerberos token to be refreshed automatically, it must be possible to do so without a password.
 Therefore, we create a keytab (similar to a private ssh key) on lxplus using the provided <code class="docutils literal notranslate"><span class="pre">cern-get-keytab</span></code> utility. Note it will prompt for your password, in order to generate the keytab.</p>
 <div class="panel panel-callout docutils container">
@@ -500,16 +518,16 @@ <h2>Setting up password-less kerberos token<a class="headerlink" href="#setting-
 </div>
 <p>This should display information about a ticket cache.</p>
 </section>
-<section id="making-use-of-the-keytab">
-<h2>Making use of the keytab<a class="headerlink" href="#making-use-of-the-keytab" title="Link to this heading"></a></h2>
+<section id="making-use-of-the-keytab-on-lxplus7">
+<h3>Making use of the keytab on lxplus7<a class="headerlink" href="#making-use-of-the-keytab-on-lxplus7" title="Link to this heading"></a></h3>
 <p>This keytab file can now be used to obtain kerberos tokens without having to type a password:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>kinit<span class="w"> </span>-k<span class="w"> </span>-t<span class="w"> </span>~/private/<span class="nv">$USER</span>.keytab<span class="w"> </span><span class="nv">$USER</span>@CERN.CH
 </pre></div>
 </div>
 <p>where <code class="docutils literal notranslate"><span class="pre">-k</span></code> tells <code class="docutils literal notranslate"><span class="pre">kinit</span></code> to use a keytab file and <code class="docutils literal notranslate"><span class="pre">-t</span> <span class="pre">~/private/$USER.keytab</span></code> where this keytab actually is.</p>
 </section>
-<section id="using-k5reauth-to-automatically-refresh-your-kerberos-token">
-<h2>Using k5reauth to automatically refresh your kerberos token<a class="headerlink" href="#using-k5reauth-to-automatically-refresh-your-kerberos-token" title="Link to this heading"></a></h2>
+<section id="using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">
+<h3>Using k5reauth to automatically refresh your kerberos token on lxplus7<a class="headerlink" href="#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7" title="Link to this heading"></a></h3>
 <p>To create a permanent session of <code class="docutils literal notranslate"><span class="pre">tmux</span></code> or <code class="docutils literal notranslate"><span class="pre">screen</span></code>, the <code class="docutils literal notranslate"><span class="pre">k5reauth</span></code> command is used, which by default creates a new shell and attaches it as a child to itself and keeps renewing the kerberos token for its children. <code class="docutils literal notranslate"><span class="pre">k5reauth</span></code> can start processes other than a new shell by specifying the program you want to start as an argument</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>k5reauth<span class="w"> </span>-f<span class="w"> </span>-i<span class="w"> </span><span class="m">3600</span><span class="w"> </span>-p<span class="w"> </span>....<span class="w"> </span>--<span class="w"> </span>&lt;command&gt;
 </pre></div>
@@ -550,6 +568,26 @@ <h2>Using k5reauth to automatically refresh your kerberos token<a class="headerl
 </div>
 <p>Note that you will still have to follow the rest of the recipe (<code class="docutils literal notranslate"><span class="pre">kinit</span></code>, detach, log out, log in, attach, <code class="docutils literal notranslate"><span class="pre">kinit</span></code>) manually to get a persistent session.</p>
 </section>
+</section>
+<section id="lxplus8">
+<h2>lxplus8<a class="headerlink" href="#lxplus8" title="Link to this heading"></a></h2>
+<p>If you are on lxplus8, many of the above issues do not apply. You can simply create a screen or tmux session as normal; then, when you log back in to that node, it will still be there. You don’t even have to initialize a kerberos token.</p>
+<blockquote>
+<div><p>This advice has not been tested for sessions lasting more than 24 hours.
+If you’re worried, you can follow the recipe for lxplus7 or lxplus9.</p>
+</div></blockquote>
+</section>
+<section id="lxplus9">
+<h2>lxplus9<a class="headerlink" href="#lxplus9" title="Link to this heading"></a></h2>
+<p>If you are on lxplus9, your screen or tmux session will be killed when you log out.
+To avoid this, you must follow the recipe in <a class="reference external" href="https://cern.service-now.com/service-portal?id=kb_article&amp;n=KB0008111">KB0008111</a> to initialize the session:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>systemctl<span class="w"> </span>--user<span class="w"> </span>start<span class="w"> </span>tmux.service
+tmux<span class="w"> </span>a
+</pre></div>
+</div>
+<p>This will auto-renew your kerberos ticket as well, obviating the need to call <code class="docutils literal notranslate"><span class="pre">kinit</span></code> or use keytabs.
+The recipe for lxplus7 <em>will not work</em>.</p>
+</section>
 </section>
 
 
diff --git a/shell-extras/screen.html b/shell-extras/screen.html
index c0ff63b1..d0cee850 100644
--- a/shell-extras/screen.html
+++ b/shell-extras/screen.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell2.html">More about the UNIX shell</a><ul>
@@ -554,23 +559,10 @@ <h1>Using screen to keep things running<a class="headerlink" href="#using-screen
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>ssh<span class="w"> </span>lxplus0081.cern.ch
 </pre></div>
 </div>
-<p>Another complication are your kerberos tokens. These typically
-expire as soon as you disconnect from a <code class="docutils literal notranslate"><span class="pre">lxplus</span></code> machine. This means
-the program you left running inside the <code class="docutils literal notranslate"><span class="pre">screen</span></code> session will
-suddenly not be able to write to any files in your home directory
-anymore. This is particularly annoying if you are running <code class="docutils literal notranslate"><span class="pre">ganga</span></code>
-in your screen session.</p>
-<p>One way to stop your tokens from expiring is to type <code class="docutils literal notranslate"><span class="pre">kinit</span></code>
-when you first start a new <code class="docutils literal notranslate"><span class="pre">screen</span></code> session. The tokens you get
-this way will survive you disconnecting. However they will
-expire after 24 hours, so you will have to type <code class="docutils literal notranslate"><span class="pre">kinit</span></code> again
-to renew them if you leave <code class="docutils literal notranslate"><span class="pre">screen</span></code> running for longer than
-24 hours.</p>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>screen
-<span class="c1"># now inside the screen session</span>
-$<span class="w"> </span>kinit
-</pre></div>
-</div>
+<p>On lxplus, you will need to ensure your session is not killed and
+your write permissions continue when you log out.
+See the <a class="reference external" href="https://hsf-training.github.io/analysis-essentials/shell-extras/persistent-screen.html">persistent screen lesson</a>
+for more information.</p>
 <div class="panel panel-callout docutils container">
 <div class="panel-header open docutils container">
 <p id="tmux"><i class="fa fa-info-circle"></i> tmux</p>
diff --git a/shell-extras/screen2.html b/shell-extras/screen2.html
index f28f6eec..6a26a91c 100644
--- a/shell-extras/screen2.html
+++ b/shell-extras/screen2.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell-extras/shell2.html b/shell-extras/shell2.html
index 6c6177c8..9c0fe2be 100644
--- a/shell-extras/shell2.html
+++ b/shell-extras/shell2.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2 current"><a class="current reference internal" href="#">More about the UNIX shell</a><ul>
diff --git a/shell/02-filedir.html b/shell/02-filedir.html
index c1036229..4102fedf 100644
--- a/shell/02-filedir.html
+++ b/shell/02-filedir.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell/03-create.html b/shell/03-create.html
index 83b42216..335fd7a3 100644
--- a/shell/03-create.html
+++ b/shell/03-create.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell/04-pipefilter.html b/shell/04-pipefilter.html
index 99910b87..90a75521 100644
--- a/shell/04-pipefilter.html
+++ b/shell/04-pipefilter.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell/05-loop.html b/shell/05-loop.html
index 63718826..820bde41 100644
--- a/shell/05-loop.html
+++ b/shell/05-loop.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell/06-script.html b/shell/06-script.html
index b82d5d1a..3f3b45b1 100644
--- a/shell/06-script.html
+++ b/shell/06-script.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell/07-find.html b/shell/07-find.html
index d5ecbd2b..678ed8f4 100644
--- a/shell/07-find.html
+++ b/shell/07-find.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/shell/README.html b/shell/README.html
index ac6682ec..090bd478 100644
--- a/shell/README.html
+++ b/shell/README.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>
diff --git a/snakemake/README.html b/snakemake/README.html
index 19324b7e..702b50c4 100644
--- a/snakemake/README.html
+++ b/snakemake/README.html
@@ -355,9 +355,14 @@
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/persistent-screen.html">Persistent screen or tmux session on lxplus</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token">Setting up password-less kerberos token</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab">Making use of the keytab</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token">Using k5reauth to automatically refresh your kerberos token</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus7">lxplus7</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#setting-up-password-less-kerberos-token-on-lxplus7">Setting up password-less kerberos token on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#making-use-of-the-keytab-on-lxplus7">Making use of the keytab on lxplus7</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../shell-extras/persistent-screen.html#using-k5reauth-to-automatically-refresh-your-kerberos-token-on-lxplus7">Using k5reauth to automatically refresh your kerberos token on lxplus7</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus8">lxplus8</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../shell-extras/persistent-screen.html#lxplus9">lxplus9</a></li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="../shell-extras/shell2.html">More about the UNIX shell</a><ul>