From aba61b99e836f7fc847596cee403f627b313941c Mon Sep 17 00:00:00 2001
From:  <arnaou@kt.dtu.dk>
Date: Mon, 28 Oct 2024 16:22:22 +0100
Subject: [PATCH] Update documentation

---
 WS1/module_1/0_python_basics.html             |   3 +-
 WS1/module_1/4_exercise_1.html                |   9 ++++--
 WS1/module_1/5_exercise_2.html                |   9 ++++--
 WS1/module_2/0_intro_module_2.html            |   3 +-
 WS1/module_2/3_numpy_arrays.html              |   3 +-
 WS1/module_3/0_intro_module_3.html            |   3 +-
 WS1/module_3/2_linear_regression.html         |  26 +++++++++---------
 WS1/module_4/0_intro_module_4.html            |   3 +-
 WS1/module_4/2_combining_balances.html        |  11 +++++---
 .../3_combining_balances_solution.html        |   9 ++++--
 _sources/WS1/module_1/4_exercise_1.ipynb      |   7 ++++-
 _sources/WS1/module_1/5_exercise_2.ipynb      |  10 +++++--
 _sources/WS1/module_2/3_numpy_arrays.ipynb    |  10 +++----
 .../WS1/module_3/2_linear_regression.ipynb    |   8 ++++--
 .../WS1/module_4/2_combining_balances.ipynb   |   7 ++++-
 .../3_combining_balances_solution.ipynb       |  22 +++++++++------
 genindex.html                                 |   3 +-
 index.html                                    |   3 +-
 objects.inv                                   | Bin 1211 -> 1194 bytes
 search.html                                   |   3 +-
 searchindex.js                                |   2 +-
 21 files changed, 89 insertions(+), 65 deletions(-)

diff --git a/WS1/module_1/0_python_basics.html b/WS1/module_1/0_python_basics.html
index cc3fb81..b079903 100755
--- a/WS1/module_1/0_python_basics.html
+++ b/WS1/module_1/0_python_basics.html
@@ -202,8 +202,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/WS1/module_1/4_exercise_1.html b/WS1/module_1/4_exercise_1.html
index 3fceeb5..0039642 100755
--- a/WS1/module_1/4_exercise_1.html
+++ b/WS1/module_1/4_exercise_1.html
@@ -200,8 +200,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
@@ -622,7 +621,11 @@ <h2>3. Lists and generators<a class="headerlink" href="#lists-and-generators" ti
 <h2>4. Compound statements<a class="headerlink" href="#compound-statements" title="Link to this heading">#</a></h2>
 <p><strong>Exercise</strong>: Translate the following flow chart to check why the unit for the <em>hydrodynamics condition in packed tower</em> experiment is not working.</p>
 <p>Level: <span style="color:green">Easy</span>.</p>
-<p><img alt="alt text" src="WS1/theory/images/Flow_chart.png" /></p>
+<p><img src="../../media/WS1/flow_chart.png" 
+        alt="Picture" 
+        width="400" 
+        height="600" 
+        style="display: block; margin: 0 auto" /></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Your code here</span>
diff --git a/WS1/module_1/5_exercise_2.html b/WS1/module_1/5_exercise_2.html
index ae09074..68676a4 100755
--- a/WS1/module_1/5_exercise_2.html
+++ b/WS1/module_1/5_exercise_2.html
@@ -200,8 +200,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
@@ -550,7 +549,11 @@ <h2>Exercise: Binary to English translation<a class="headerlink" href="#exercise
 <section id="possible-solutions">
 <h2>Possible solutions<a class="headerlink" href="#possible-solutions" title="Link to this heading">#</a></h2>
 <p><span style="color:red">!!! Do not scroll down if you don’t want to see the solutions…you have been warned!</span>.</p>
-<p><img alt="alt text" src="WS1/theory/images/spoiler.jpg" /></p>
+<p><img src="../../media/WS1/spoiler.jpg" 
+        alt="Picture" 
+        width="400" 
+        height="300" 
+        style="display: block; margin: 0 auto" /></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">string_a</span> <span class="o">=</span> <span class="s1">&#39;a&#39;</span>
diff --git a/WS1/module_2/0_intro_module_2.html b/WS1/module_2/0_intro_module_2.html
index 1703f37..096c227 100755
--- a/WS1/module_2/0_intro_module_2.html
+++ b/WS1/module_2/0_intro_module_2.html
@@ -200,8 +200,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/WS1/module_2/3_numpy_arrays.html b/WS1/module_2/3_numpy_arrays.html
index 811f18c..1896757 100755
--- a/WS1/module_2/3_numpy_arrays.html
+++ b/WS1/module_2/3_numpy_arrays.html
@@ -200,8 +200,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/WS1/module_3/0_intro_module_3.html b/WS1/module_3/0_intro_module_3.html
index 4c933f6..3593345 100755
--- a/WS1/module_3/0_intro_module_3.html
+++ b/WS1/module_3/0_intro_module_3.html
@@ -202,8 +202,7 @@
 </details></li>
 <li class="toctree-l1 current active has-children"><a class="current reference internal" href="#">Module 3</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/WS1/module_3/2_linear_regression.html b/WS1/module_3/2_linear_regression.html
index 9862f35..00aab39 100755
--- a/WS1/module_3/2_linear_regression.html
+++ b/WS1/module_3/2_linear_regression.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Finding the logarithm of a value in Python &#8212; Dig4Bio-workshops</title>
+    <title>Linear Regression &#8212; Dig4Bio-workshops</title>
   
   
   
@@ -202,8 +202,7 @@
 </details></li>
 <li class="toctree-l1 current active has-children"><a class="reference internal" href="0_intro_module_3.html">Module 3</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul class="current">
 <li class="toctree-l2"><a class="reference internal" href="1_operations.html">Operations</a></li>
-<li class="toctree-l2 current active"><a class="current reference internal" href="#">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2 current active"><a class="current reference internal" href="#">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
@@ -445,7 +444,7 @@
               
 
 <div id="jb-print-docs-body" class="onlyprint">
-    <h1>Finding the logarithm of a value in Python</h1>
+    <h1>Linear Regression</h1>
     <!-- Table of contents -->
     <div id="print-main-content">
         <div id="jb-print-toc">
@@ -455,10 +454,9 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Finding the logarithm of a value in Python</a></li>
-<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#simple-linear-regression-in-python-with-scipy-library">Simple linear regression in Python with SciPy library</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#finding-the-logarithm-of-a-value-in-python">Finding the logarithm of a value in Python</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#simple-linear-regression-in-python-with-scipy-library">Simple linear regression in Python with SciPy library</a></li>
 </ul>
-
             </nav>
         </div>
     </div>
@@ -469,7 +467,9 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article">
                   
-  <p>In this notebook, we will explore some more operations, such as calculating the logarithm in numpy and doing a linear regression.</p>
+  <section class="tex2jax_ignore mathjax_ignore" id="linear-regression">
+<h1>Linear Regression<a class="headerlink" href="#linear-regression" title="Link to this heading">#</a></h1>
+<p>In this notebook, we will explore some more operations, such as calculating the logarithm in numpy and doing a linear regression.</p>
 <p>You have the following isothermic reaction:
 <span class="math notranslate nohighlight">\(A+\frac{1}{6}B→\frac{1}{4}C+\frac{1}{2}D\)</span></p>
 <p>During a laboratory experiment you measure in a batch reactor with constant volume and the initial concentration of <span class="math notranslate nohighlight">\(C_A\)</span> is 25 <span class="math notranslate nohighlight">\(mol \cdot m^{-3}\)</span>.</p>
@@ -531,7 +531,7 @@ <h2> Contents </h2>
 </div>
 </div>
 <section id="finding-the-logarithm-of-a-value-in-python">
-<h1>Finding the logarithm of a value in Python<a class="headerlink" href="#finding-the-logarithm-of-a-value-in-python" title="Link to this heading">#</a></h1>
+<h2>Finding the logarithm of a value in Python<a class="headerlink" href="#finding-the-logarithm-of-a-value-in-python" title="Link to this heading">#</a></h2>
 <p>Here we will use the numpy library to calculate the logarithm of the values defined.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -554,7 +554,7 @@ <h1>Finding the logarithm of a value in Python<a class="headerlink" href="#findi
 </div>
 </section>
 <section id="simple-linear-regression-in-python-with-scipy-library">
-<h1>Simple linear regression in Python with SciPy library<a class="headerlink" href="#simple-linear-regression-in-python-with-scipy-library" title="Link to this heading">#</a></h1>
+<h2>Simple linear regression in Python with SciPy library<a class="headerlink" href="#simple-linear-regression-in-python-with-scipy-library" title="Link to this heading">#</a></h2>
 <p>Here we calculate a linear least-squares regression for two sets of measurements.
 Check the documentation <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.linregress.html">here</a>.</p>
 <p>The unction returns:</p>
@@ -618,6 +618,7 @@ <h1>Simple linear regression in Python with SciPy library<a class="headerlink" h
 </div>
 </div>
 </div>
+</section>
 </section>
 
     <script type="text/x-thebe-config">
@@ -684,10 +685,9 @@ <h1>Simple linear regression in Python with SciPy library<a class="headerlink" h
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#">Finding the logarithm of a value in Python</a></li>
-<li class="toc-h1 nav-item toc-entry"><a class="reference internal nav-link" href="#simple-linear-regression-in-python-with-scipy-library">Simple linear regression in Python with SciPy library</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#finding-the-logarithm-of-a-value-in-python">Finding the logarithm of a value in Python</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#simple-linear-regression-in-python-with-scipy-library">Simple linear regression in Python with SciPy library</a></li>
 </ul>
-
   </nav></div>
 
 </div></div>
diff --git a/WS1/module_4/0_intro_module_4.html b/WS1/module_4/0_intro_module_4.html
index 0fdcc3b..c075948 100755
--- a/WS1/module_4/0_intro_module_4.html
+++ b/WS1/module_4/0_intro_module_4.html
@@ -202,8 +202,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/WS1/module_4/2_combining_balances.html b/WS1/module_4/2_combining_balances.html
index 4c3cfa3..a527d67 100755
--- a/WS1/module_4/2_combining_balances.html
+++ b/WS1/module_4/2_combining_balances.html
@@ -202,8 +202,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
@@ -462,8 +461,12 @@ <h1>Energy balance for a laboratory equipment batch reactor for chemical synthes
 <p>In this programming exercise you will also have from a chemical engineering point of view the task to develop the energy balance for a batch reactor. This is a task, we have not yet investigated in the lectures or group exercises.
 We consider the following Reaction taking place in a laboratory sized reactor using a liquid phase:</p>
 <p><span class="math notranslate nohighlight">\(A→B\)</span></p>
-<p>The setup is described in the following:
-<img alt="alt text" src="WS1/module_4/assignment2_system.png" /></p>
+<p>The setup is described in the following:</p>
+<p><img src="../../media/WS1/system.png" 
+        alt="Picture" 
+        width="500" 
+        height="500" 
+        style="display: block; margin: 0 auto" /></p>
 <p>You can assume that the reaction order follows an elementary reaction and you have found in literature the rate velocity coefficient at 298 K to be 0.005 min-1.
 Please perform with help the following analysis:</p>
 <ol class="arabic simple">
diff --git a/WS1/module_4/3_combining_balances_solution.html b/WS1/module_4/3_combining_balances_solution.html
index fec39e6..625d0c9 100755
--- a/WS1/module_4/3_combining_balances_solution.html
+++ b/WS1/module_4/3_combining_balances_solution.html
@@ -202,8 +202,7 @@
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="../module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
@@ -463,7 +462,11 @@ <h1>Energy balance for a laboratory equipment batch reactor for chemical synthes
 We consider the following Reaction taking place in a laboratory sized reactor using a liquid phase:</p>
 <p><span class="math notranslate nohighlight">\(A→B\)</span></p>
 <p>The setup is described in the following:
-<img alt="alt text" src="WS1/module_4/assignment2_system.png" /></p>
+<img src="../../media/WS1/system.png" 
+        alt="Picture" 
+        width="500" 
+        height="500" 
+        style="display: block; margin: 0 auto" /></p>
 <p>You can assume that the reaction order follows an elementary reaction and you have found in literature the rate velocity coefficient at 298 K to be 0.005 min-1.
 Please perform with help the following analysis:</p>
 <ol class="arabic simple">
diff --git a/_sources/WS1/module_1/4_exercise_1.ipynb b/_sources/WS1/module_1/4_exercise_1.ipynb
index 02146e2..92702a6 100755
--- a/_sources/WS1/module_1/4_exercise_1.ipynb
+++ b/_sources/WS1/module_1/4_exercise_1.ipynb
@@ -335,7 +335,12 @@
     "\n",
     "Level: <span style=\"color:green\">Easy</span>.\n",
     "\n",
-    "![alt text](../theory/images/Flow_chart.png)"
+    "<img src=\"../../media/WS1/flow_chart.png\" \n",
+    "        alt=\"Picture\" \n",
+    "        width=\"400\" \n",
+    "        height=\"600\" \n",
+    "        style=\"display: block; margin: 0 auto\" />\n",
+    "\n"
    ]
   },
   {
diff --git a/_sources/WS1/module_1/5_exercise_2.ipynb b/_sources/WS1/module_1/5_exercise_2.ipynb
index 05a1bd5..f73ece5 100755
--- a/_sources/WS1/module_1/5_exercise_2.ipynb
+++ b/_sources/WS1/module_1/5_exercise_2.ipynb
@@ -13,7 +13,7 @@
    "id": "5c66aeb4-b91f-46c8-9f5a-f155cc3da0ed",
    "metadata": {},
    "source": [
-    "### Exercise: Remove all outliers\n",
+    "## Exercise: Remove all outliers\n",
     "\n",
     "Remove **all** possible outliers from the given array, based on the cutoff (given cutoff value multiplied by standard deviation).\n",
     "Here, we want to remove all values that are more than three standard deviations from the mean.\n",
@@ -46,7 +46,7 @@
    "id": "e8d94308-bbe9-497b-9a22-623225a5be03",
    "metadata": {},
    "source": [
-    "### Exercise: Binary to English translation\n",
+    "## Exercise: Binary to English translation\n",
     "\n",
     "You are provided with an English-to-binary code translation table and messages in binary code. \n",
     "You have to decode the given messages to find out what Chemistry Cat says.\n",
@@ -115,7 +115,11 @@
    "id": "c0a7449f-3051-4629-887e-b0cda88a27da",
    "metadata": {},
    "source": [
-    "![alt text](../theory/images/spoiler.jpg)"
+    "<img src=\"../../media/WS1/spoiler.jpg\" \n",
+    "        alt=\"Picture\" \n",
+    "        width=\"400\" \n",
+    "        height=\"300\" \n",
+    "        style=\"display: block; margin: 0 auto\" />"
    ]
   },
   {
diff --git a/_sources/WS1/module_2/3_numpy_arrays.ipynb b/_sources/WS1/module_2/3_numpy_arrays.ipynb
index 0f9f00a..1297072 100755
--- a/_sources/WS1/module_2/3_numpy_arrays.ipynb
+++ b/_sources/WS1/module_2/3_numpy_arrays.ipynb
@@ -24,7 +24,7 @@
    "id": "ae95f2f4-afd0-46ea-a7ed-fcfd50cc6406",
    "metadata": {},
    "source": [
-    "### Create a NumPy array\n",
+    "## Create a NumPy array\n",
     "Let's now try to see how to create arrays!"
    ]
   },
@@ -204,7 +204,7 @@
    "id": "cc10263c-903c-4761-a027-b29b62b37ded",
    "metadata": {},
    "source": [
-    "### Create an array according to a distribution"
+    "## Create an array according to a distribution"
    ]
   },
   {
@@ -277,7 +277,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWoAAAD4CAYAAADFAawfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAPDklEQVR4nO3db4xld13H8feH7RZoaWjLXrG2XKZGQlKIQDOp/AsBKlJYoDHhwTZCkJBMoqjFGM3iAwj4ZE2MQRMUN4CCQoGUlpAuYJtQgogsdmuB/qFaygKtaIEKpUjAbb4+uGfa2emdvWeWe+79dff9SiZ755wz9372t7/57Jlz7pmTqkKS1K5HLTuAJOnYLGpJapxFLUmNs6glqXEWtSQ17pQhnnTXrl21srIyxFNL0gnp0KFD362q0bR1gxT1ysoKN9xwwxBPLUknpCTf2Gqdhz4kqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS43oVdZLfT3JLkpuTXJHkMUMHkyRNzCzqJOcCvwesVtXTgR3AnqGDSZIm+h76OAV4bJJTgNOA/xwukiRpo5lXJlbV3Un+DPgm8GPg2qq6dvN2SdaANYDxeDzvnJLU28reA1OXH963e8FJ5qPPoY+zgEuB84FfAE5P8prN21XV/qpararV0Wjq5eqSpOPQ59DHrwJfr6rvVNX/AVcBzx02liRpXZ+i/ibw7CSnJQlwMXDbsLEkSetmFnVVHQSuBG4EvtJ9zf6Bc0mSOr1+zWlVvRV468BZJElTeGWiJDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxfW5u+9QkN234uC/JmxaQTZJEjzu8VNXtwDMBkuwA7gauHjaWJGnddg99XAx8raq+MUQYSdLDbbeo9wBXDBFEkjRdr5vbAiQ5FXgV8OYt1q8BawDj8Xgu4RZpZe+BqcsP79v9iHqN7dgqz1aWlVM62W1nj/plwI1V9d/TVlbV/qpararV0Wg0n3SSpG0V9WV42EOSFq5XUSc5HXgJcNWwcSRJm/U6Rl1VPwKeMHAWSdIUXpkoSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1Jjet7K64zk1yZ5KtJbkvynKGDSZImet2KC/gL4FNV9eokpwKnDZhJkrTBzKJO8njgBcBvAlTVT4GfDhtLkrSuzx71+cB3gL9N8gzgEHB5d8PbByVZA9YAxuPxvHOelFb2HtjW9of37R4oyYljqzEdeuyW9bo6MfQ5Rn0KcCHw11X1LOBHwN7NG1XV/qpararV0Wg055iSdPLqU9R3AXdV1cHu8yuZFLckaQFmFnVV/RfwrSRP7RZdDNw6aCpJ0oP6vuvjd4EPdO/4uBN4/XCRJEkb9SrqqroJWB02iiRpGq9MlKTGWdSS1DiLWpIaZ1FLUuMsaklqnEUtSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMb1usNLksPAD4EHgCNV5d1eJGlB+t4zEeBFVfXdwZJIkqby0IckNa7vHnUB1yYp4G+qav/mDZKsAWsA4/F4fgk7K3sPbGv7w/t2zz3DI9V2x+5ktNUYDT2PjvVvs6zX3u7rnozfm4ueL333qJ9fVRcCLwPemOQFmzeoqv1VtVpVq6PRaK4hJelk1quoq+ru7s97gKuBi4YMJUl6yMyiTnJ6kjPWHwO/Btw8dDBJ0kSfY9RPBK5Osr79B6vqU4OmkiQ9aGZRV9WdwDMWkEWSNIVvz5OkxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTG9S7qJDuS/FuSa4YMJEk62nb2qC8HbhsqiCRpul5FneQ8YDfw7mHjSJI263MXcoB3AH8EnLHVBknWgDWA8Xh83IFW9h447q8d4nm2+/yH9+0e9HWXabtjeiKMxcn477yVob83j2dMHyl98bOauUed5BXAPVV16FjbVdX+qlqtqtXRaDS3gJJ0sutz6ON5wKuSHAY+BLw4yT8MmkqS9KCZRV1Vb66q86pqBdgDfLqqXjN4MkkS4PuoJal5fU8mAlBVnwE+M0gSSdJU7lFLUuMsaklqnEUtSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4/rchfwxSb6Y5EtJbknytkUEkyRN9LkV10+AF1fV/Ul2Ap9L8smq+sLA2SRJ9Cjqqirg/u7Tnd1HDRlKkvSQXje3TbIDOAT8EvDOqjo4ZZs1YA1gPB7PM+NSrew9MOj2OtpW43d43+65PM8jyYnwd5iXeY3FI3VMe51MrKoHquqZwHnARUmePmWb/VW1WlWro9FozjEl6eS1rXd9VNX3geuBSwZJI0l6mD7v+hglObN7/FjgJcBXB84lSer0OUZ9DvC+7jj1o4CPVNU1w8aSJK3r866PLwPPWkAWSdIUXpkoSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1Jjetzz8QnJbk+ya1Jbkly+SKCSZIm+twz8QjwB1V1Y5IzgENJrquqWwfOJkmixx51VX27qm7sHv8QuA04d+hgkqSJPnvUD0qywuRGtwenrFsD1gDG4/E8smmbVvYeWHaEo8wzz1bPdXjf7rm9xna0NtYnAsd0a71PJiZ5HPBR4E1Vdd/m9VW1v6pWq2p1NBrNM6MkndR6FXWSnUxK+gNVddWwkSRJG/V510eA9wC3VdWfDx9JkrRRnz3q5wGvBV6c5Kbu4+UD55IkdWaeTKyqzwFZQBZJ0hRemShJjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIaZ1FLUuMsaklqnEUtSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmN63PPxPcmuSfJzYsIJEk6Wp896r8DLhk4hyRpCzOLuqo+C9y7gCySpClm3ty2ryRrwBrAeDye19OeFFb2Hlh2hEcsx27+HNP2zO1kYlXtr6rVqlodjUbzelpJOun5rg9JapxFLUmN6/P2vCuAfwGemuSuJG8YPpYkad3Mk4lVddkigkiSpvPQhyQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIaZ1FLUuMsaklqnEUtSY2zqCWpcRa1JDWuV1EnuSTJ7UnuSLJ36FCSpIf0uWfiDuCdwMuAC4DLklwwdDBJ0kSfPeqLgDuq6s6q+inwIeDSYWNJktbNvLktcC7wrQ2f3wX8yuaNkqwBa92n9ye5fZtZdgHf3ebXLIrZtq/VXGC249VqtmZy5U8ftmg72Z681Yo+Rd1LVe0H9h/v1ye5oapW55Vnnsy2fa3mArMdr1aztZoL5petz6GPu4Enbfj8vG6ZJGkB+hT1vwJPSXJ+klOBPcDHh40lSVo389BHVR1J8jvAPwI7gPdW1S0DZDnuwyYLYLbtazUXmO14tZqt1Vwwp2ypqnk8jyRpIF6ZKEmNs6glqXGDF3WS9ya5J8nNW6xPkr/sLk//cpILN6x7XZL/6D5et4Rsv9Fl+kqSzyd5xoZ1h7vlNyW5YQnZXpjkB93r35TkLRvWDXbJf49cf7gh081JHkhydrdu6DF7UpLrk9ya5JYkl0/ZZuHzrWeupcy1ntmWNdf6ZFvKfEvymCRfTPKlLtvbpmzz6CQf7sbmYJKVDeve3C2/PclLZ75gVQ36AbwAuBC4eYv1Lwc+CQR4NnCwW342cGf351nd47MWnO2566/J5BL6gxvWHQZ2LXHcXghcM2X5DuBrwC8CpwJfAi5YVK5N274S+PQCx+wc4MLu8RnAv2/+uy9jvvXMtZS51jPbsubazGzLmm/d/Hlc93gncBB49qZtfht4V/d4D/Dh7vEF3Vg9Gji/G8Mdx3q9wfeoq+qzwL3H2ORS4P018QXgzCTnAC8Frquqe6vqf4DrgEsWma2qPt+9NsAXmLyHfCF6jNtWBr3kf5u5LgOumNdrz1JV366qG7vHPwRuY3Jl7UYLn299ci1rrvUcs60MPde2m21h862bP/d3n+7sPja/M+NS4H3d4yuBi5OkW/6hqvpJVX0duIPJWG6phWPU0y5RP/cYy5flDUz2xNYVcG2SQ5lcPr8Mz+l+9Ppkkqd1y5oYtySnMSm6j25YvLAx637MfBaTPZ2NljrfjpFro6XMtRnZljrXZo3bMuZbkh1JbgLuYfKf/JZzraqOAD8AnsBxjNvcLiE/kSV5EZNvnudvWPz8qro7yc8B1yX5are3uSg3Ak+uqvuTvBz4GPCUBb7+LK8E/rmqNu59L2TMkjyOyTfsm6rqvnk///Hqk2tZc21GtqXOtZ7/ngufb1X1APDMJGcCVyd5elVNPXfzs2phj3qrS9SbuHQ9yS8D7wYurarvrS+vqru7P+8BrmbGjy7zVlX3rf/oVVWfAHYm2UUj48bkmNxRP4YuYsyS7GTyTf2BqrpqyiZLmW89ci1trs3Ktsy51mfcOkuZb93zfx+4nocfKntwfJKcAjwe+B7HM25DHGifcuB9ha1Piu3m6JM7X+yWnw18ncmJnbO6x2cvONuYyfGj525afjpwxobHnwcuWXC2n+ehC5YuAr7ZjeEpTE6Enc9DJ3ietqhc3frHMzmOffoix6z7+78feMcxtln4fOuZaylzrWe2pcy1PtmWNd+AEXBm9/ixwD8Br9i0zRs5+mTiR7rHT+Pok4l3MuNk4uCHPpJcweSs8a4kdwFvZXLgnap6F/AJJmfi7wD+F3h9t+7eJH/C5HeNALy9jv6xZhHZ3sLkmNJfTc4BcKQmvwnriUx+1IHJZP1gVX1qwdleDfxWkiPAj4E9NZkFg17y3yMXwK8D11bVjzZ86eBjBjwPeC3wle7YIcAfMynBZc63PrmWNdf6ZFvKXOuZDZYz384B3pfJjVUexaSEr0nyduCGqvo48B7g75PcweQ/kj1d7luSfAS4FTgCvLEmh1G25CXkktS4Fo5RS5KOwaKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1Jjft/BSEalHXg+0sAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -315,7 +315,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -336,7 +336,7 @@
    "id": "6fd060e5-d477-4651-b79a-9e9c88c85f22",
    "metadata": {},
    "source": [
-    "### Operations"
+    "## Operations"
    ]
   },
   {
diff --git a/_sources/WS1/module_3/2_linear_regression.ipynb b/_sources/WS1/module_3/2_linear_regression.ipynb
index d23a58f..a006282 100755
--- a/_sources/WS1/module_3/2_linear_regression.ipynb
+++ b/_sources/WS1/module_3/2_linear_regression.ipynb
@@ -5,6 +5,8 @@
    "id": "de4c7922-8621-40b8-8acf-ec4e51c6e377",
    "metadata": {},
    "source": [
+    "# Linear Regression\n",
+    "\n",
     "In this notebook, we will explore some more operations, such as calculating the logarithm in numpy and doing a linear regression.\n",
     "\n",
     "You have the following isothermic reaction:\n",
@@ -57,7 +59,7 @@
    "id": "24a6a7bd-e3a8-472d-bb4e-a7d07e4002a6",
    "metadata": {},
    "source": [
-    "### Finding the logarithm of a value in Python\n",
+    "## Finding the logarithm of a value in Python\n",
     "\n",
     "Here we will use the numpy library to calculate the logarithm of the values defined."
    ]
@@ -78,7 +80,7 @@
    "id": "3d886559-d7cd-4521-a6d9-f86446051a98",
    "metadata": {},
    "source": [
-    "### Simple linear regression in Python with SciPy library\n",
+    "## Simple linear regression in Python with SciPy library\n",
     "\n",
     "Here we calculate a linear least-squares regression for two sets of measurements.\n",
     "Check the documentation [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.linregress.html).\n",
@@ -248,7 +250,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
diff --git a/_sources/WS1/module_4/2_combining_balances.ipynb b/_sources/WS1/module_4/2_combining_balances.ipynb
index 807c56b..7d3d562 100755
--- a/_sources/WS1/module_4/2_combining_balances.ipynb
+++ b/_sources/WS1/module_4/2_combining_balances.ipynb
@@ -19,7 +19,12 @@
     "$A→B$\n",
     "\n",
     "The setup is described in the following:\n",
-    "![alt text](assignment2_system.png)\n",
+    "\n",
+    "<img src=\"../../media/WS1/system.png\" \n",
+    "        alt=\"Picture\" \n",
+    "        width=\"500\" \n",
+    "        height=\"500\" \n",
+    "        style=\"display: block; margin: 0 auto\" />\n",
     "\n",
     "You can assume that the reaction order follows an elementary reaction and you have found in literature the rate velocity coefficient at 298 K to be 0.005 min-1. \n",
     "Please perform with help the following analysis:\n",
diff --git a/_sources/WS1/module_4/3_combining_balances_solution.ipynb b/_sources/WS1/module_4/3_combining_balances_solution.ipynb
index bfdb23f..fef0efc 100755
--- a/_sources/WS1/module_4/3_combining_balances_solution.ipynb
+++ b/_sources/WS1/module_4/3_combining_balances_solution.ipynb
@@ -19,7 +19,11 @@
     "$A→B$\n",
     "\n",
     "The setup is described in the following:\n",
-    "![alt text](assignment2_system.png)\n",
+    "<img src=\"../../media/WS1/system.png\" \n",
+    "        alt=\"Picture\" \n",
+    "        width=\"500\" \n",
+    "        height=\"500\" \n",
+    "        style=\"display: block; margin: 0 auto\" />\n",
     "\n",
     "You can assume that the reaction order follows an elementary reaction and you have found in literature the rate velocity coefficient at 298 K to be 0.005 min-1. \n",
     "Please perform with help the following analysis:\n",
@@ -169,7 +173,7 @@
     },
     {
      "data": {
-      "image/png": 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69bNlvObNg9des0uYzrnUUdRGY3YE3lTVmkB74B0R2aeNItJVRCaKyMTdu3fHtoX7728jM0eOhFmzYvvZLix//21J5uvWhWeftTlys2dbr86DnHOpKZbBbjkQmienZrAt1HXA+wCqOg7YH6ictSJV7a+qLVS1RYl4LCd/000W9J5/Pvaf7XK0ezcMGAANGsCDD8Kpp8K0aZaJoF69eLfOucQiIrWCAYMzRWSGiHQLth8tIuNEZLqIfCYi5YLtV4rIlJCSLiJNs6m3l4gsDzkuJgMRYxnsJgANRKSOiJQCLgeGZzlmCdAGQESOwILdmhi2MTwZCcrefhtWrox3axzw1VfQtKkt6VW7Nvz4I3zyCRx1VJwb5lzi2g3cpaqNgOOBW4KBgwOAHqraGPgYuAdAVYeoalNVbQpcBSxS1Sk51P1CxrGqOrKwTwRiGOxUdTdwKzAKmAW8r6ozRORRETk3OOwu4AYRmQoMBa7RojoR8O67rSvRp0+8W5LSZs+26Y9nnGGZwD/4AH76yZb1cs7ln6quVNXJwfPN2Pd2DaAhMDY4bDRwUTZv74gNQiwyfFJ5QVx2GXz5pS21Ub58fNqQojZtgkcftb81Spe2y5a33w777RfvljmXGERkJzA9ZFN/Ve2fw7G1sQB3FPAl8IyqfiIidwKPqGrZLMcvAM5T1d+zqasXcA2wCZiI9R7XF/iE8lDUBqgklnvvtW/d/tn+fLhCoAqDB8Nhh9kt086dbYTlPfd4oHMuQrszxj4EJadAlwYMA7qr6iagC3CziEwCygI7sxx/HLA1u0AXeBWoBzQFVgLPReVs8uA9u4Jq2xZmzoRFi/zbtpDNmmWZB777Do49Fl56CVq2jHernEtM4UwqF5GSwAhglKruMyJPRBoCg1W1Zci2F4A1qvpEGG2oDYxQ1UK/u+49u4K67z4bpDJ4cLxbkrS2b7fLlEcfDVOm2Dy58eM90DlXmEREgDeAWaGBTkSqBo/FgAeBfiH7igGXksv9OhEJXVr9AiCnHmBUec+uoFShRQu7nDlrliU/c1Hz/ffQtSvMnWvLez37rM3pd84VTF49OxFpBfyA3ddLDzbfDzQAbglefwT8O2MgoYicAjylqsdnqWsA0E9VJ4rIO9glTAX+AG5U1czD2kX65uOUeqG6Lsfz8WAXBR9/DBdeaEnPOnaMb1uSxKZNdkv0tdcs9U7//nbF2DkXHUV6bUyRdGAcWe4H5qIVcBiqC3Os0oNdFKSnQ5Mm9nzaNCjmV4cL4quv4PrrYflyuPNOyylXunS8W+VcckmAYHcQquFlyxbZDBydW7Dzb+VoKFYM7r8fZsyATz+Nd2sS1ubNdsnyjDMgLQ1+/hl69/ZA51wKuhbYGMHxNwKrcjvAe3bRsns3HHEElCtnydE8/U9EfvzRFmpevNimEfTq5flxnStMRbpnByBSDNX0PI6ph+qCcKrznl20lChhydEmT7aJ5i4sO3faP1vr1vb3wdix8NRTHuiccwzIda9IXWBMuJV5zy6adu60VYirV4dx47x3l4f58208z8SJdo/u+eehbNm83+ecK7gE6NmtAQahem82+2oD3wNzUD09nOq8ZxdNpUrZhLBffvHeXR7efhuOOQYWLIBhwyz9jgc651yIDsD/IXJPpq0ih2A9uoXAudm8L1ves4u2Xbss/XXlyvDrr967y+Lvvy0d4Ftv2aXLwYOhVq283+eci64i37MDEGkLfAbcjOogRGoB32Hp4c5AdVu4VXnPLtpKloSePe3a3Oefx7s1RcrMmbbqydtvw8MPw7ffeqBzzuVC9WvgaqAfIjcB3wJ/Au0jCXTgPbvCsWsXHH44VKjgIzMDQ4fafbm0NBgyxCeIOxdvCdGzyyDSFVtAegLQFtUtkVbhPbvCULIkPPSQjcxM8Xl3u3ZBt25wxRXQvLmtbemBzjmXJ5HpiExDZBqWC3UXUBX4+Z/tti+86rxnV0h274ZGjWwM/ZQpKbmqyqpVcMkl8MMPFvB697a/A5xz8Vfke3YiD4d1nOojYVXnwa4Qvfuuja0fPBiuvDLerYmpSZPg/PNh7Vp44w1fMtS5oqbIB7so82BXmNLT7dpdRkaEUqXi3aKYGDoUunSx7ASffgpNm8a7Rc65rFIt2KXetbVYKlYMHn8cFi607k2SS0+3gahXXGHJVSdM8EDnnMsHkZGIlI/g+GGIVMv1EO/ZFTJVm1C2YIEtGZKkqxpv3w7XXAPvvWe9uldfTZmOrHMJqUj37ET2AI2ANWG+4w+gqWc9iCcRePJJy2beNz/5CIu+NWvgtNMs0D39NAwY4IHOOVcgAszEgl04Jc+gHVHPToTSWIbZqmQJlKp8FHZFUVTke3YZzj7blvZfsAAOPDDerYma+fPhzDNhxQobh3PhhfFukXMuHEW8Z3dyPt41HtUdOVYZbrAToS0wFMjum1pVKZ6PxhVYwgS7mTOhcWO47TZ48cV4tyYqJkyADh3sXt2IEXD88fFukXMuXEU62BWCSC5j9gE+B2qqUixLiUugSyiNGsF118HLL1t3KMF98QWccsreJKse6JxzRVkkPbu/gSaqhJUoL1YSpmcHdt+uQQM46yz44IN4tybf/vc/6NwZmjSBkSOhWq5joJxzRZH37HL2E3BYYTUkJVSvbmm4P/zQ8t0loJdfhk6d4KSTYMwYD3TOucQQSc/uQuAx4HlgOrZO2T9UmRz11oUhoXp2AFu2WO+udm27/pdAi0Q//ril6zv3XBt56dnEnUtcqdaziyTYpeey2weoRGLgQLt/N2SIzcAu4lQtyD3xBFx1lTW/RIl4t8o5VxAJF+xEKgP1gCm5jbrM8e0RBLtDc9uvyuJIPzwaEjLYpafbEiOrVsGcOVCm6P68qcJdd8ELL8ANN0C/fim5prVzSSdhgp1IWeAN4GJAgQaoLkSkH/Anqr3CqSbsry1VFudW8nMOKatYMejTB5Yvh2eeiXdrcqRqMyVeeMEeX3vNA51zLuaeBmoAzYDQhK0jgAvCrSSiry4RmojwtggTRZggwlsiHBVJHS7QqhVcdpkFuyVL4t2afWQEupdftp5dnz4JdXvROZc8zgW6ozoF69llmAXUDbeSsIOdCOcCk4FawBfAl8AhwG8inBNuPS5ERq/unnvi244sVC3/XEag693bA51zLm4qAmuz2V4W2BNuJZH07B4DHlflVFV6BuVU4MlgX55E5EwRmSMi80WkRw7HXCoiM0Vkhoj8L4L2JZ5DDoH77oP337dx/EWAKtx5J/z3v3DHHR7onHNxNwHr3WXI6N3dCPwcbiWRDFDZDhylyvws2xsA01XJdSC6iBQH5gLtgGXYCXRU1ZkhxzQA3gdOU9X1IlJVVVfnVm9CDlAJtW0bHHmkjeOfOjXuqbwffNCmGNx+u61q5oHOueSUQANUTgRGAe8CnYABwJFAS6A1qmFNe4ukZ7caaJ7N9ubAqjDe3xKYr6oLVXUn1vDzshxzA/Cyqq4HyCvQJYUDDrBsCLNm2Y2xOHrySQt011/vgc45V0So/gycAJQCFgBtgBXACeEGOoBIZku9DrwmQn32dh1PAu4Geofx/hrA0pDXy4DjshzTEEBEfgKKA71U9cusFYlIV6ArQKlkyCVz9tlwzjnQqxdcfjnUrBnzJrz0Etx/v03769fPA51zrggQKQkMBu5HtXNBqor0nt0jwE3AN0H5P+Bh4ImCNCJECaABcArQEXhdRCpkPUhV+6tqC1VtUSJZZjf36QN79tiIkBgbMsRGXp5/Prz1FhT3Zb2dc0WB6i7gdDKPwsyXSObZqSovqFITKA+UV6WmKn1Uw2rIcmwkZ4aawbZQy4DhqrpLVRdh9/gahNvGhFanjnWt3n8fvtynM1tovvjCMoyfeioMHeorozjnjIjUEpExIQMGuwXbjxaRcSIyXUQ+E5FywfYrRWRKSEkXkabZ1FtJREaLyLzgsWIeTfkIKHCmzIiStxbog0RKYMGrDRbkJgBXqOqMkGPOxAatdBZbGuY3oKmqZjfsFEiCASqhduyApk1h+3aYMQNKly7Ujxs3Dtq0gcMPh+++g3LlCvXjnHNFSF4DVESkOlBdVSeLrWIyCTgfeAu4W1W/F5EuQB1V7ZnlvY2BT1S1Xjb1PgOsU9WnglH5FVX1vlwa+jBwB/A9MBHI/IWv+nxY55tbsBNhGnCyKutFmE4uXUlVmuT5YSLtgRex+3EDVfVxEXkUmKiqw0VEgOeAM7H5E4+r6ru51ZlUwQ5g7Fg4+WS49154+ulC+5g5c+DEE6FSJUug7tkLnEstkY7GFJFPgZeAD4EKqqoiUgsYpaqNshz7BKCq+kA29cwBTlHVlUFA/U5Vc86oI7Iol2YpqmFNLM8r2D0M9FZla/A8509UHgnnA6Mt6YId2HDIN9+ESZPg6KOjXv2qVXDCCfD339a7qxv2GgTOuWQhIjuxDDYZ+qtq/xyOrQ2MBY7CFhR5RlU/EZE7gUdUtWyW4xcA56nq79nUtUFVKwTPBVif8bowxewyZmFJymC3bh0cccTeNEBRHDGyZYtlGJ81yy5dHnts1Kp2ziWQcHt2IpKGXUJ8XFU/EpHDgb7AgcBw4HZVPTDk+OOAAaraOIf6NoQGNxFZr6p53bcrsLCHI4jYYBZVS/UjwkHA2cBM1fBnsbswVKpkE92uuMLm4N1xR1Sq3b3bZjb89ht8+qkHOudc7sSG/g8DhqjqRwCqOhsbIYmINAQ6ZHnb5cDQXKpdJSLVQy5j5j6fWqRvrvtVb891f0Y1Eayg8gXwpSp9REgDZgNlgDTgOlXeDquiKEvKnh3Yul3nnQdffw3TpkH9+gWusnt3m+Hwyitw000Fb6JzLnGFMUBFsMEo61S1e8j2qqq6WkSKAW9i99wGBvuKYfOp/6WqC3OotzewNmSASiVVvTeXhmZdS7EkcDg29uM3VE/L82SJbJ5dC+Db4PmFwCagKrbqyd0R1OPCIQKvvgqlStk9vPTccufmrV8/C3Tdu3ugc86F5STgKuC0kOkE7YGOIjIX6/CsAAaFvKc1sDRroBORASLSInj5FNBOROYBbYPXOVM9NUtphU1dG4ktLxmWSHp224CGqiwVYTCwWJUHRDgEmKVKXNZYS9qeXYaMrOYF6I59/TWceaaVTz/1SePOuQRaGzMnIkcCX6JaK89jiaxntwQ4SYQywBnA6GB7JWBrRI104bv2WmjXzqYiLMptBG725s6FSy6BRo1s0rgHOudckqiM3UYLSyTrZTwPvANsARZjw1DBuq3Tc3qTKyAReP11aNzYAt+334adLnzTJlsCrHhxGD4cypbN8y3OOVe02PSGTFuA6sCV2KXM8KqJZOqBCM2xhK2jVdkSbOsAbFDlp7AriqKkv4yZYdAg6NIFnn8+rNGZ6ekW6EaOtMuYp5xS6C10ziWQhLmMue+k8nRgDTaG5ElUN4dVTTjBToSSwI/A1arMibCphSplgl3G6MyvvrK5A0cckevhPXvCY49ZEtZbb41RG51zCSNhgl2UhHU9TJVdQB2isPK0yycR6N8f0tLg6qth164cD/30Uwt0XbrALbfEsI3OORdtIg8hsu9CwSIHIPJQ2NVEMBqzN4Aq94RbeSykTM8uw7BhcPHF8MADFtGymDcPWrSAhg3hhx8sAbpzzmWVMD07kT1AdbIm8xY5EFiNaljD7iIZoFIGuFKEdtjq15kijCphzWJ3BXTRRTZQ5Ykn4PTToXXrf3Zt3Wq7S5SADz/0QOecSwpC9lcVjwHWhV1JBD27rLPYQ6kqYc1ij7aU69kBbN4MxxwDO3fa6ioVKqAKnTvD4ME2KOXMM+PdSOdcUVbke3Yim7EgVwab3hYarIoD+wP9UA3rZo0vBJ2ofv0VTjrJunJDh/L6AKFrV+jVCx7ONT+Fc84lRLDrjPXqBgLdgY0he3cCf6A6LuzqIg12IlQG6gFTVNkR0ZsLQcoGO7BLmQ88wLJH3qDBk11o1cqSnPvEcedcXop8sMsgcjLwM6o5j8oLp5oILmOWxSLsRVh3soEqC0XoB/ypSq+CNCS/UjrY7dnD7jans2vsOM6sNIH3ZxzpSVidc2FJmGAXSuQgoFSmbapLwnlrJMuFPQ0cDDQDtoVsHwFcEEE9LlqKF+euakPYpGX5PO1SqqWlaNB3ziUvkXKIvIXINmA5sChLCUskwe5coLsqU8h8o3AW4Lmu42DwYOj7/kF82WkIaUtmwW23xbtJzjkXbc8BRwPnA9uBK4B7gGXAZeFWEkmwqwiszWZ7WWBPBPW4KFi4EG6+GVq1gk5vtrV5d4MGwZtvxrtpzjkXTWcBt6E6Cos1k1B9HugB3BhuJZEEuwlY7y5DRu/uRvBM5bG0ezd06mTrQQ8eHAxIefhhOPVUSwM0dWq8m+icc9FSAUs+ADYi88Dg+TjgxHAriWRS+f3AKBGODN53Z/C8JZb5wMXIf/4D48ZZyp5DDw02lihhG5o1s+kIEydChQrxbKZzzkXDAuxW2RLsttnliPyKJREPe1J52D07VX7Gomip4MPbYFlqT1BlcvjtdgXx88+2StjVV8Pll2fZWa0afPABLF5sBxQwu7lzzhUBbwJNgudPYVcTdwK9sYGTYfFJ5QlkyxZo2hT27LErleXK5XBg377QrZt1AR98MJZNdM4liIScegAgcgjQApiHati5VMPu2YkwRYS7RKien/a5grv3XhuY8tZbuQQ6sFGZV15peX4++yxm7XPOuagSKYnIL4gc9s821SWofhRJoIPIBqiMBG4FlojwtQidRcJPie4KZtQoePVVy9vaOq87pBnZzZs3t6A3a1ZM2uicc1Flq6ZEJb1cfpYLa4XNc7gEKA18BryjyucFbUx+pMJlzPXroXFj681NnhxBNoOlSy3fT/nytpamD1hxzgUS5jKmSG8AVAuUXi7f9+xEKAGcCfwHaKJKXFZkTIVgd801NsVg/HiLXRH58Uc47TQ45RRLh1AikgG4zrlklUDB7hXgSmy1lH3Sy6EaVnq5SC5jhnw2tYC7gCewUTI/5qcel7cvvrB7dD165CPQgc06f+01GD0abr8dEnxAknMu5RwBTAbWY1MQGoeUo8KtJJKFoCtily6vBE4C5gCDgSGqhLUQZ2FI5p7dpk1w1FGQlga//Qb77VeAyu69F3r3tpGavqyYcykvYXp2URLJNa0/gTXAe9gamb8VTpNchvvug+XLbW5dgQIdwJNPwty50L071K8PZ50VjSY651xsiPyTXg7ViNPLRdKzawd8o0qRmqmcrD27776z1b/uuguefTZKlW7ZYkM5586FsWNttRXnXEpKmJ6dyD7p5VBdiEg/4E9Ue4VTTSQrqIwuaKATkTNFZI6IzBeRHrkcd5GIqIjk5y5Vwtu+Hbp2hXr14NFHo1hxWhqMGAEHHggdOsAff0SxcuecKxRRSS8XyaTySiK8KsJcETaIsCm05P1+KQ68jK1g3QjoKCKNsjmuLNAN+CXctiWbJ56AefOgXz8oXTrKlR98sI162b4d2re3eQ3OOVd0nQt0R3UKBUgvF8k9uzeAY4D+2JqYkQ7rawnMV9WFACLyLnAeMDPLcf/BInmB5lQkqpkz4amnLKtB27aF9CGNGsEnn8Dpp8O558JXX8EBBxTShznnXIFEJb1cJMGuDdBONd89rhrA0pDXy4DjQg8QkWZALVX9XERyDHYi0hXoClCqVKmcDks46elw441Qtiw8/3whf9jJJ9vkvcsus/LRRz4HzzlXFGWkl3sxeJ2v9HKRfLutBrZEcHxERKQY8DxwTV7Hqmp/rIdJmTJlkmbi2MCBNgd84ECoUiUGH3jJJfDXX5YF9vrrLfmrSAw+2DnnwnY/MAqRf9LLBc8jSi8XyaTyB4BHC7Ae5nKgVsjrmsG2DGWxCYLficgfwPHA8FQZpLJ2rU01aN3aVkyJmZtugkcesZnrd9/tk86dcwCISC0RGSMiM0Vkhoh0C7YfLSLjRGS6iHwmIuVC3tMk2Dcj2L/P4oYi0ktElovIlKC0z7Uhqjmml0M17PRykUw9mA7UBopjWWN3ZW7PP/mGcni/lADmBg1djnVNr1DVGTkc/x1wt6pOzK3eZJl6cOON8MYbMGWKTSSPKVVLCfTf/0KvXpb13DmX1PKaeiAi1YHqqjo5GDg4CTgfeAv7bv5eRLoAdVS1Z/AdPxm4SlWnisiBwAZV3ZOl3l7AFlWN1qSqsERyGfPDgnyQqu4WkVuBUVjAHKiqM0TkUWCiqg4vSP2J7NdfLUnBHXfEIdCBXbp88UWbh9erF5QpY70851zKUtWVwMrg+WYRmYWNvWgIjA0OG419p/cETgemqerU4D3ZDSrJH+shXoGN5Acb2DgU1W05vylLFZ68Nb727IHjj7eVUmbPziNPXSwac+WV8N578PLLdi/POZeURGQnEJoTrn8wHiK7Y2tjAe4o4EvgGVX9RETuBB5R1bIi0h1oDlQFqgDvquoz2dTVCxubsQmYCNylqjnPgbKBi59hWXYy2nsUsAPoEO6lzIiH34lwGhZdFZihyneR1uH2GjAAJk6E//0vzoEOoHhxeOcd2LoVbrnFXt94Y5wb5ZwrJLtVNc8xESKSBgwDuqvqpuDSZV8R6QkMB3YGh5YAWgHHAluBb0Rkkqp+k6XKV7EpZho8Pgd0yaUJ/YGfgGtR/TtoVBlsVZX+WNbyPEVyz64G8DEWuVcEmw/GIvMFqv9si6lE7tmtXw8NGtilyzFjitBAyB074MILLSXQa6/Zci7OuaQSznJhIlISW6lklKruMyFKRBoCg1W1pYhcDpylqp2DfT2B7araO5f6awMjVDXnGzgi24DmqM7Msv1IYCKqYU0SjmQ0Zl9sAl99VWqpUgtoEGzrG0E9LvDIIxbw+vQpQoEObNXpYcNssegbb7Qbis65lCIigi0mMis00IlI1eCxGPAg0C/YNQpoLCKlg8EqJ7PvoiEZA18yXAD8nkdTZmMdq6yqY4MewxJJz24TcIoqk7Nsb4EtEF0+3A+NpkTt2c2aZdnHr7vOOk9F0vbtcMEF8OWX8NJLdmnTOZcUwhiN2Qr4AbtPlrEu8v1YJyfjy+Aj4N8aBBIR6QT8G7tEOVJV7w22DwD6qepEEXkHaBoc8wdwYzAYJqeGdAB6A48C44Otx2OBtgehE8tV1+VYTYTB7uSsqX1EaA5868EufKrWaRo/3tbAjMkE8vzasQMuvRSGD7f0C3fdFe8WOeeiIIGyHoQmIMgIWJLNa0W1eE7VRDJA5RvgvyJ0VLVlv0Q4BFvCJesNSJeLkSNh1Ch47rkiHujALml++KGN0rz7bti2DR54oIhdd3XOJbFTo1FJJD27WtjIm6PIPEBlOnCuKsui0aBIJVrPbtcuu3ypCtOnQ8Is7bl7N3TpYqM177zTenke8JxLWAnTs4uSsHt2qiwVoRnQFjg82DxLla8LpWVJasAAmDPHkg4kTKADWyT6zTehQgVbpXr9eujf3xePds4VPpFSWEerKlkHVqqODKuKvHp2IpyFzYtoopo5b50I5YGpwA2qjA674VGUSD27zZuhfn047DD4/vsE7RipWkbZXr3g/PNtgqCnB3Iu4SRMz06kHfAOFuiyyvU+Xahwph7cCvTOGugAVNmI5Z7rHs6HpbpnnoHVqxP8CqCIrZ3Zty98+im0awfrchwA5ZxzBfUyNtevDraKygEhJez01uH07JYCbVWZk8P+w7CpBzXD/dBoSpSe3fLlNoH8vPNg6NB4tyZKPvgArroK6tSx6QmHHhrvFjnnwpRAPbvNwNEEib/zK5yeXRX2zrHIjgIHFqQRqeChh2zpySeeiHdLouiSSyzL+Z9/2gKfkybFu0XOueQzAkvxUyDhjC5YBjQB5uWwvwmZ89K5LGbOtLEd3bpZJyiptG4NP/0E7dvb8yFD7F6ec85Fx/8BQxBpjq22kim9HKpvh1NJOJcx+wDtgOaqbMuyrzS2NuZoVbqF3fQoSoTLmBddBKNHw8KFULlyvFtTSFatsmu0v/5qNyfvuiuBb0w6l/wS6DLmpVgOvf2wBaZDg5aiGtYS+uEEu6rAb9ilzJewdcoAjsAGrwjQTJVVkbQ/Wop6sJswAVq2TJGcqNu2QefOdi/vmmugXz+blO6cK3ISKNgtAd4Dev2T9SA/1YQzqVyEQ7HpB2eQeZmWUcAtqizKbwMKqqgHu3btLPv4woVQtmy8WxMD6ek2NeGRR+w+3kcfQfXqeb/PORdTCRTsNgHHoLqgINWElfVAlcWqtAcqA8dhi3BWVqV9PANdUffNN/D117a6VkoEOoBixawb++GHMG0aHHusLQLqnHP5MwxbzKRAPFN5IVGFE06AFStg7lzYf/94tygOpk61rAnLlsF//2t58fw+nnNFQgL17HoC3bAridPYd4DKPnn2sq3Gg13h+PxzOPtsSwV3/fXxbk0crVtni0h/+SVcey28/LKvuOJcEZBAwS63q4eKat2wqvFgF32qdvVu3TpbB7NkyXi3KM727LH7eI8+Ck2a2ACWhg3j3SrnUlrCBLsoiSRTuQvTZ5/Z/OqePT3QAVC8uA1YGTnSlpJp3hzefTferXLOJRqRaliG9Ih5sIsyVZtiUK+eraTlQpx1lg1NPfpo6NgRbrgBiliv3DlXxIiUROSZYNmw5UDtYPvTiNwcbjUe7KLsk0/s+/yhhzz7TbZq1oQxY6BHD3jjDWjRwv7BnHMuew8D5wCdgB0h238Frgm3Er9nF0Xp6XDMMbB9O8yY4cEuT99+C506wdq18OST0L27TV1wzhW6hLlnJ7IA6ILq95kWhRY5DPgF1QrhVOPfLFE0YoRNLXvwQQ90YTntNPsHO+ssW16sTRtYvDjerXLOFS0HA9l9MZQgggTkHuyiRBUeewzq1rXbUS5MlSvDxx/DwIE2qqdJE1s1O8GvODjnomYG0Dqb7ZcCYada8WAXJaNH2zqYPXp4ry5iIjYHb+pUaNrUnp99to3cdM6lJpGBiJQFHgH+i8gDQHHgEkQGAT2A/4Rdnd+zi47WrWHRIpg/39c+LpD0dJt43qOHzdt47jno0sVXXnEuyor8PTuRPUB1VFcjcgZwP9Ac66RNBh5F9atwq/OeXRSMHQs//AD33uuBrsCKFYPbbrN7eU2b2vIzbdrYXxHOuVSy9y9c1VGonoxqGqqlUW0VSaADD3ZR8fjjULVqii8LFm316tlozf79YfJkaNzYRmzu3BnvljnnYidqlx492BXQpEnw1Vdw552+5GPUFStmE89nzoQOHeD++62399138W6Zcy42/kRkT64lTDG9ZyciZwJ9sJuMA1T1qSz77wSuB3YDa4AuqprrWPR437O77DJb43jJEihfPm7NSA0jR8Ktt9rN0U6dLCO658pzLl8S4J5dOnADsCHX41SHhVVdrIKdiBQH5gLtgGXABKCjqs4MOeZU4BdV3SoiNwGnqOpludUbz2C3YIGtZ3zPPfDUU3kf76Jg61Z44gno3RtKlbKlarp1s+fOubAlSLA7CNXV0agulpcxWwLzVXWhqu4E3gXOCz1AVceo6tbg5XigZgzbF7HnnrNpBt26xbslKaR0aZvQOGMGnHyyjQpq3NhW307wkcXOuUyi+gsdy2BXA1ga8npZsC0n1wFfFGqLCmD1ahg0CK6+2q+kxUX9+rZkzYgRNi3h3HOhXTsbxemcSwZRnW9UJAeoiEgnoAXQO4f9XUVkoohM3L17d2wbF+jbF3bsgLvvjsvHuwwdOsD06dCnj43abNrU5uUtWxbvljnnCkK1WLQuYUJsg91yoFbI65rBtkxEpC3wAHCuqu7Iuh9AVfuragtVbVEiDsuVbNkCr7wC558Phx0W8493WZUsCbffbnPx7rwThgyBBg1sYvr69fFunXOuCIhlsJsANBCROiJSCrgcGB56gIgcA7yGBbqoRfRoe/NN+w695554t8RlUqkSPPuspYe/6CIbrVmnjg1o2bIl3q1zLqGISC0RGSMiM0Vkhoh0C7YfLSLjRGS6iHwmIuVC3tMk2Dcj2L9/NvVWEpHRIjIveKwYk/OJ8dSD9sCL2NSDgar6uIg8CkxU1eEi8jXQGFgZvGWJqp6bW52xHo25Z4/15qpUgXHjYvaxLj8yUlB89pn9h913H9x0kw1ycS7F5TUaU0SqA9VVdbLYGpWTgPOBt4C7VfV7EekC1FHVniJSAlvG6ypVnSoiBwIbVHVPlnqfAdap6lMi0gOoqKr3Fc5Zhnyur40ZmU8/tcuX770Hl14as491BTFunE1R+PprqFbNgt6NN3rQcykt0qkHIvIp8BLwIVBBVVVEagGjVLVR0Jm5QlU75VHPHGxa2cogoH6nqoV+Q6hIDlApyl54AQ45BC68MN4tcWE74QRLSzF2LDRqZPf1ateGp5+GzZvj3Trn4qVExkC/oHTN6UARqQ0cA/yCpdzJmDZ2CXvHYjQEVERGichkEbk3h+qqqWrG1bs/gWoFPZFweLCLwOTJ8P33NhbC0/gkoH/9y9bbHDvWUsr36AGHHgoPPwx//RXv1jkXa7szBvoFpX92B4lIGjAM6K6qm4AuwM0iMgkoC2QsWFsCaAVcGTxeICJtcmuA2qXFmFxe9GAXgRdegLQ0X/A54f3rXzBqFPzyi+VmevRR667ffrstReacA0BESmKBboiqfgSgqrNV9XRVbQ4MBRYEhy8DxqrqX8HiICOBZtlUuyq4fJlxXzAmgxE92IVpxQp491247jpfAzNptGwJn3xiC01ffjm8+qpNVr/kEhg/Pt6tcy6uRESAN4BZqvp8yPaqwWMx4EGgX7BrFNBYREoHg1VOBmayr+FA5+B5Z+DTwjmDzDzYhem112wk5m23xbslLuqOOAIGDoQ//rD5JKNH232+44+HoUNh1654t9C5eDgJuAo4TUSmBKU90FFE5gKzgRXAIABVXQ88j00zmwJMVtXPAURkgIi0COp9CmgnIvOAtsHrQuejMcOwc6dd5WrRwlanckluyxZbC65vX5uofvDBNnrzhht8bTiXNIr8QtBR5j27MHz4Iaxa5b26lJGWZv/Zc+bA55/bQtMPP2x/8Vx2GYwZ44tOO5dgvGcXhhNPtMF6s2dbPlGXgubPh3797HLn+vW2HNkNN0Dnzpam3rkE4z07l8mkSTYn+ZZbPNCltPr1bSmy5cvhnXfgoIMsvVCNGnDBBbZKS5wWJXfO5c17dnm49lr44AP7jvNRmC6TWbPs3t5bb1nOp6pV4corLe9T06bxbp1zuUq1np0Hu1z89RfUrGkZY155pVA+wiWDXbtg5Eh4+23r4e3aBUcdZYGvY0ebuO5cEZNqwc4vzOVi0CDLWXfLLfFuiSvSSpaE886DYcNg5Up4+WUoVw7+/W9bluykk2xk58qVeVblnCsc3rPLQXo6NGxoo87Hjo169S4VLFpk8/TefdcSzIrYii0XXWSLq9aoEe8WuhSWaj07D3Y5+PpraNfO8oBecUXUq3epZtYsS5Xx4YcwY4ZtO/54S6FxwQX2l5VzMeTBLsEUVrC7+GJb9HnZMthvv6hX71LZ7Nl2yfPjj224L8Dhh8M551g54QRfadwVOg92CaYwgt2KFTZ/+I47oHfvqFbtXGZLlsDw4ZYo8fvvbXBLpUpwxhnQvr09VqkS71a6JOTBLsEURrB77DHo2RPmzrW5w87FxMaN8NVXtibdl1/adAYRaN4cTj/dAt/xx0OpUvFuqUsCHuwSTLSD3Z49UKcOHHaYrQfsXFykp1sCxS++sAA4bpz9cJYpAyefDG3awGmnQZMmvtqByxcPdgkm2sFu5Ejo0MEmkl98cdSqda5gNm60NTm//trKnDm2/cADLfidcoqN9Gzc2IOfC4sHuwQT7WB34YXw0082MKVkyahV61x0LVtmwe/bb+1x8WLbXrGizetr1cqS1DZv7iOsXLY82CWYaAa7VatsxZTu3X1gikswixfbAJfvv7e/1jJ6fqVKWW6qE0+0UZ7HHefz+xzgwS7hRDPY9e5ta/vOmmUjwZ1LWKtXW9D7+WcrEydaYkawv+iOO84ytbdsCc2a2YovLqV4sEsw0Qp2qpaw+sAD7TvCuaSyYwdMmQLjx1v59VdYuND2idik9ubNrTRrBscc4yufJzkPdgkmWsHup5/sNsfAgZbpwLmk99dfMGGCTWyfONHK8uV799eta0GvaVMrTZpArVoWHF3C82CXYKIV7K691lZyWrnSElU7l5JWrYLffrNpD1OmWJk3b+/+ChVsxGdGOeooOPJIGxjjEooHuwQTjWC3aRNUr25rYL7+epQa5lyy2LzZFrKeNg2mTrXH33+3X5wM1atb0GvUyMoRR1ipXNl7gkWUB7sEE41gN2AA3HCDzds9/vgoNcy5ZKZqS539/rstbD1zpj3OmgWhv4+VKtlor8MOs/uCGaVePTjggPi133mwSzTRCHb/+pfdvpg50/8Ida5A0tNtDuDMmTb9YfZsC4Bz5+6bz69WLahf30q9elbq1rVSoUJcmp9KPNglmIIGuwUL7HftySehR48oNsw5l9mmTRb05s3bWxYsgPnzYc2azMdWrGiJb+vUsXLoofb60EOt+EjRAku1YJfyeUTeftt6c506xbslziW5cuVsgnuLFvvu27jRkt0uXGgBcNEiKzNm2Bp+27fvW9chh1jvMKPUrLm31KgBZcvG5rxcQkjpnl16ul05qV/fF312rshStUnyixbZfcKMsngxLF1q5a+/9n1fWpoFvYMPtlK9upWDDtr7WK2a9SJT8P6F9+xSyA8/wB9/wH/+E++WOOdyJGJBqVq1nEeQbdtmiSiXLbOyYoXNGVy+3O4V/vyzPWbtIYItglu16t7PqFp1b6lSxUaUVqmy93laWkoGx0QX056diJwJ9AGKAwNU9aks+/cD3gaaA2uBy1T1j9zqLEjPrksXy27w55+WOcU5l8RU7XLpypVWVq2yX/4//7Se46pVVtassdc7dmRfT6lSttRS1lKpUuZSsaKVChXssWzZIpWRItV6djELdiJSHJgLtAOWAROAjqo6M+SYm4Emqvp/InI5cIGqXpZbvfkNdn//bVcxLrnEVk1xzrl/qMKWLRb4MoLf2rV2uXTNGnseWtats8ddu3Kus1gxG1hToULmUr683YMsX37fUq5c5pKWFrWAmWrBLpaXMVsC81V1IYCIvAucB8wMOeY8oFfw/EPgJRERLYSI/Mkn9rPcuXO0a3bOJTwR64mVLWtTIcKhan9Fr19vwW/9+sxlw4a9zzdutDJv3t7noZP0c5OWZu0qVw569YLLL8/vWaaUWAa7GsDSkNfLgONyOkZVd4vIRuBAINPdZxHpCnQFKFWqVL4aU64cnH++zbFzzrkCE7FAlJZmo0MjtWeP/QUeGvw2bbLnmzdbCX2+ebNdPnVhScgBKqraH+gPdhkzP3Wcc44V55wrEooX33v50kVdLO+WLgdC/9ypGWzL9hgRKQGUxwaqOOecc/kWy2A3AWggInVEpBRwOTA8yzHDgYy7aBcD3xbG/TrnnHO5E5FaIjJGRGaKyAwR6RZsP1pExonIdBH5TETKBdtri8g2EZkSlH451NtLRJaHHNc+FucTs8uYwT24W4FR2NSDgao6Q0QeBSaq6nDgDeAdEZkPrMMConPOudjbDdylqpNFpCwwSURGAwOAu1X1exHpAtwD9Azes0BVm4ZR9wuq+myhtDoHMb1np6ojgZFZtj0U8nw7cEks2+Scc25fqroSWBk83ywis7BBhA2BscFho7EOTM9sKylCis4MR+ecc7FUQkQmhpSuOR0oIrWBY4BfgBnYNDGwzknoWIw6IvKbiHwvIrmNdb9VRKaJyEARiUnm35ReG9M551JVuJPKRSQN+B54XFU/EpHDgb7YtLDhwO2qemCwAlaaqq4VkebAJ8CRqropS33VsOlkCvwHqK6qXaJ5btlJyKkHzjnnCp+IlASGAUNU9SMAVZ0NnB7sbwh0CLbvAHYEzyeJyALskufE0DpVdVVI/a8DIwr/TPwypnPOuWyIiGCDBmep6vMh26sGj8WAB4F+wesqwbKQiEhdoAGwMJt6q4e8vAD4vbDOIVTC9+y2bt2qIrItn28vgY04SiV+zqnBzzk1FOScD8hj/0nAVcB0EZkSbLsfm0J2S/D6I2BQ8Lw18KiI7ALSgf9T1XUAIjIA6KeqE4FnRKQpdhnzD+DGfLY/Igl/z64gRGSiqmaTSTJ5+TmnBj/n1JCK55xffhnTOedc0vNg55xzLumlerDrH+8GxIGfc2rwc04NqXjO+ZLS9+ycc86lhlTv2TnnnEsBHuycc84lvZQNdiJypojMEZH5ItIj3u2JVLCm3GoR+T1kWyURGS0i84LHisF2EZG+wblOE5FmIe/pHBw/T0Q6h2xvHqTwmB+8V2J7hpnlkm4kmc95fxH5VUSmBuf8SLC9joj8ErTzPbGUWYjIfsHr+cH+2iF1/TvYPkdEzgjZXiR/D0SkeLDG4ojgdVKfs4j8EfzsTRGRicG2pP3ZjgtVTbmCpRhaANQFSgFTgUbxbleE59AaaAb8HrLtGaBH8LwH8HTwvD3wBSDA8cAvwfZK2AoHlYCKwfOKwb5fg2MleO9ZcT7f6kCz4HlZYC7QKMnPWbC1BgFKYovwHg+8D1webO8H3BQ8vxmbuAuWHuu94Hmj4Gd8P6BO8LNfvCj/HgB3Av8DRgSvk/qcscnVlbNsS9qf7XiUVO3ZtQTmq+pCVd0JvMveVbwTgqqOxXL+hToPeCt4/hZwfsj2t9WMByqILdlzBjBaVdep6nosXceZwb5yqjpe7Tfl7ZC64kJVV6rq5OD5ZiAj3Ugyn7Oq6pbgZcmgKHAa8GGwPes5Z/xbfAi0Cf6CPw94V1V3qOoiYD72O1Akfw9EpCa23uKA4LWQ5Oecg6T92Y6HVA12NYClIa+XBdsSXTW1HFQAfwLVguc5nW9u25dls71IkMzpRpL6nIPLeVOA1diX1wJgg6pmLBEV2s5/zi3YvxFbmT7Sf4t4exG4F1tyCuwckv2cFfhKRCbJ3lQ7Sf2zHWsJvzamy56qqogk3bwSsXQjw4Duqrop9NZDMp6zqu4BmopIBeBj4PD4tqhwicjZwGq1VfNPiXNzYqmVqi4XW2R5tIjMDt2ZjD/bsZaqPbvlZE44WDPYluhWBZcsMlYWXx1sz+l8c9teM5vtcSXZpBshyc85g6puAMYAJ2CXrTL+UA1t5z/nFuwvD6wl8n+LeDoJOFdE/sAuMZ4G9CG5zxlVXR48rsb+qGlJivxsx0y8bxrGo2A92oXYjeuMm9RHxrtd+TiP2mQeoNKbzDe0nwmedyDzDe1fg+2VgEXYzeyKwfNKwb6sN7Tbx/lcBbvX8GKW7cl8zlWACsHzA4AfgLOBD8g8WOPm4PktZB6s8X7w/EgyD9ZYiA3UKNK/B8Ap7B2gkrTnDJQByoY8/xk4M5l/tuPy7xzvBsTxB6w9NqJvAfBAvNuTj/YPBVYCu7Br8Ndh9yq+AeYBX4f8oAvwcnCu04EWIfV0wW7ezweuDdneAssztQB4iWC1nTiebyvsvsY0YEpQ2if5OTcBfgvO+XfgoWB73eDLaz4WBPYLtu8fvJ4f7K8bUtcDwXnNIWQkXlH+PSBzsEvacw7ObWpQZmS0KZl/tuNRfLkw55xzSS9V79k555xLIR7snHPOJT0Pds4555KeBzvnnHNJz4Odc865pOfBzrkQInKNiGzJ+8hC+ezvRESDcnyY73kz5D0XF3YbnUtUHuxcyggJCjmVN4H3sHlP8TIIy/AwKczjuwXHO+dy4WtjulQSGhTOBl7Psm2bqm4DtsW0VZltVdU/wz1YVTcCG1MxPZlzkfCenUsZqvpnRgE2ZN2mqhuzXsYUkV4i8nuQFPMPEflbRAaJSCkRuVlElorIWhF5XkSKhbyvlIg8LSLLRGSriEwITSAaCRF5SEQWi8gOEflTRN4u6L+Fc6nGe3bO5a02lkPsbCw1yjCsR7gSOB3LRPA+8FOwD+xyZD3gCmw5t/bAZyJyrKpODfeDReQi4G6gI7Y0VFVsjUPnXAQ82DmXt+LYOoMbgd9F5EvgZKCGWgLQWSLyE3AqMExE6mHBqbaqLgnqeElE2gI3Ytm1w3UoFlS/UtVdwBJgYlTOyrkU4pcxncvbkiDQZVgFzA0CXei2qsHzZthivTNFZEtGwVarrxfhZ3+ALXa8SETeEJFLRGS//J2Gc6nLe3bO5W1Xlteaw7biwfNiwetjszkuosEvqrpURA4D2gBtgeeAh0XkOFX9O5K6nEtlHuyci77fsJ7dQao6pqCVqep24HPgcxF5CvgTS3L6VUHrdi5VeLBzLspUda6IDAHeFJG7gMlYYs1TgIW6N8t6nkTkGuz39BdgC3AZ1lucF+VmO5fUPNg5VziuxZKHPgPUBNZhyUUj7eltAO4DngVKAjOBC1V1UdRa6lwK8OStzhURIvId8Luq3pqP9ypwiap+GPWGOZcEfDSmc0VL12D05rHhHCwi/eK1lqdzicR7ds4VESJSAzggeLlUVXeE8Z6qQLng5Uofoelc9jzYOeecS3p+GdM551zS82DnnHMu6Xmwc845l/Q82DnnnEt6Huycc84lvf8H78G7kJswWm0AAAAASUVORK5CYII=\n",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -188,7 +192,7 @@
     },
     {
      "data": {
-      "image/png": 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aRVVo3drPTvbsCXvvva6dSY8efua/Rw8PrBiNqfGKWhsixEKoJytX+mW9qVP98emn/pg2zQMrNaQkD6Ett4TddoNjj13XeHKLLTy8OncuvtN4oX5FrQ0RYiFkwMxP7330kT+mTPE7Ej7+2E8Fpl5m79jR22nstBMcffS6OwkqGqVWbnMSQqai1oZ1IRY37oawVnm5h9KECX6nx6RJ6259S21Ltckm3nBwr73gtNM8tAYM8J+dO+eu/KFxiBADD7GKptshNEKLF3ur9Q8+8MeHH3pwpbbw69nT7xo44wxv1b7tth5e1XUoE0JDixADD7E4lRgaiblz/V7+995b10HG55+vm7/ppn4L3Wmn+W1YFZ2QdOyYowKHUI2ouSFCLBStRYu805m33/aOVcaOXb8Tl6239p7Pzj7b76EdNMhb/cWRVSgUUXNDhFgoCmVlfhrwzTfhjTf858cfr5u/zTaw777eWcaQIfXW8UMIORU1N0SIhYK0YoV3qfnKKz74wptvrutfuls375Xs1FP9SGvoUO8OKYR0SWoF/A9oiWfFaDO7VNIBwJ/xobyWAaea2VRJLYF7gZ2BL4EfmNnnDV3OqLkhQiwUhOXLvb/ol16Cl1/204Rr1vipvx12gBNP9BaCe+7pTdnjlGCoo1XA/ma2TFJz4FVJTwG3AEeZ2WRJPwF+B5wKnAEsMrP+ko4DrgJ+0NCFjJobIsRCXlqzxo+0nnvOB1R48811X9WhQ+H8870Xi732ikYXof6Zd6xb0T61efKw5FExiGEHoGIIhqOAEcnz0cBNkmQN3EFv1NwQIRbyxtSpPlDBM8/ACy94E3fJ+wP85S9hv/08tCoPGBBCLTSTlDrc1UgzG5m6gKSmwLtAf+BmM3tL0pnAk5K+BpYCuyeL9wRmAphZqaQlwKbAFw26Ew258oIRIRZyZNUqPz34xBM+1ujUqT69b1/44Q99HNT99vNhP0KoZ6VmNrS6BcysDBgsqSPwqKQdgF8AhyWBdgFwHXBmg5d2I6LmhgixkFVffAGPPw5jxvgR1/LlPjzbfvvBz38Ohx7qvV2EkC/MbLGkF4FDgW+Y2VvJrAeB/ybPZwO9gVmSmuGnGr/cYGX1LGpuiBALDW7GDHjkEXj0UW9JWF7uHdyedBIcfjjsv3/0xB7yi6SuwJokwFoDB+GNNTpI2trMPk6mJaO9MgY4BXgDOAZ4oaGvh0GEmIsQCw1g+nR46CEYPdpvNgbvAeO3v4XvfMc7xY0WhCGPdQfuSa6LNQEeMrPHJZ0FPCypHFgEnJ4sfwdwn6SpwELguGwUMkZ2Bv9XuKTE++IJoQ5KSuDBB2HUKG9ZCN6S8Oij/TFgQG7LF0KFGNm5mMSRWKiDr76Chx+G++/3FoXl5d4bxh//CN//vg89EkJoGFFzQ4RYyFh5uQfWPff4ta4VK6BfPz9VeMIJ3sN7CKHhRc0NEWIhbdOnw913w113+fOOHb1xximneDdPcY0rhOyKmhs8xGKI2bARpaXeJH7kSPhv0pj4wAPhqqvgqKO8eXwIITcixMBrqbYFf30z1LO5cz24Ro704Ut69IDf/x5OPx223DLXpQshQISYi9OJIcVbb8ENN3jT+DVr4OCD4eab4dvfjq9JCPkm/iQhQixQWuotDP/yF+9ot317+OlP4cc/9oEjQwj5KWpuiBBrxJYtgzvugOuv94Ya/fvDX//qDTViwMgQ8l/U3BAh1gh9+SXceKMH1qJF8M1v+uvDD4cmTXJduhBCuqLmhgixRqSkBK65Bm67zTve/c534Ne/9ubxIYTCEzU3RIg1AnPmeJP4kSO9scYJJ3h4bb99rksWQqiLqLkhQqyIzZvn3T/deqv/mk85BS6+2HvXCCEUvqye/Zc0TNIUSVMlXVTF/C0kvShpnKQPJB2WlYJFiBWdRYu8C6ittoKbboITT4SPP/ZGHBFgIRSPrNXcSXf+N+Pjz8wC3pE0xswmpSz2O7y7/1skDQSeBPo0eOEixIrGypUeWlde6UF23HFw2WXRTD6EYpXNI7FdgalmNs3MVgOjgKMqLWNA++R5B2BOVkoWIVbwysvhH/+AbbaBCy6A3XaD8ePhgQciwEIoZtkMsZ7AzJTXs5JpqUYAP5Q0Cz8K+1lVK5I0XNJYSWNLS0vrXrIIsYL22mveuvCkk6BrV3j+eXjqKfjGN3JdshBCQ8u3O2KOB+42s17AYfgooRuU0cxGmtlQMxvarD7Cp7QUmjev+3pCVs2c6acLv/lNb314770+gvL+++e6ZCGEbMnm4cdsoHfK617JtFRnAMMAzOwNSa2ALsD8Bi1ZHIkVlJUr4dpr/bpXeTlccglceGH04RxCY5TNI7F3gAGS+kpqARwHjKm0zAzgAABJ2wGtgAUNWiozKCuLECsQzzwDO+4Iv/sdDBsGkyd7w40IsBAap6yFmJmVAucATwOT8VaIEyX9QdKRyWK/BM6S9D7wAHCqmVmDFqyszH9GiOW1khI4/ng45BAfePLpp73D3j59cl2yEEIuZbXmNrMn8QYbqdMuSXk+Cdgrm2WiomFIhFheMoO//91bHH79NYwY4T1txECUIQSIHjsixPLY1Klw1lnw0kuw777e32E0lw8hpMq31onZFyGWd8rLfVDKQYNg3Djv7/D55yPAQggbipo7QiyvTJ0Kp58Or7ziIynfdhv0rHw3YQihMEk31uJdIzBbuLGZUXNHiOUFM7j9dvjFL/yWvbvvhpNP9kYcIYSicQ7wBrA6zeW/CfwFiBDbqAixnJs/H848Ex57DA48EO66C3r1ynWpQggN5LuYpXfvr/RVTYvENbEIsZx6+mm/9vXMM3D99f46AiyEonUasCSD5c8G5lW3QIRYhFhOrF7tzeaHDfP+DseOhfPOgybxjQyheJndA6ypcTmpX7L8PzFbXt2iUWVEiGXdZ595f4fXXAM/+pH3d7jDDrkuVQghS/5e7VxpK+DFdFcWIRYhllWPPQZDhvgAlaNHwy23QOvWuS5VCCGLjkC6uso5Uh88wD5Kd2URYhFiWVFaCr/5DRx5JPTtC++9B0cfnetShRBy4NvAj5AuWG+qtAUeYNOAI6t4X5Wi5o4Qa3BffOFDpjz/PAwf7jcyR7dRITRSZm8jfQ94DOkLzO5C6o0H2EzgMMxWpru6qLkjxBrUe+/B974Hc+d60/lTT811iUIIOWf2HNLJwD/wIbfOB+biAfZ1JquKmjtCrMGMGgWnnQZdusCrr8LQobkuUQghb5j9C6kTcAs+VNchmC3LdDVRc0eI1bvycrj0Urj8cth7b2/A0a1brksVQsgL0odA6hBba4BuwOvrddFjNiid1UXNHSFWr1as8O6iHn7Y+0C85RZo0SLXpQohZEp+mu9/QEs8K0ab2aWSBFwOHAuUAbeY2Y3J9BuAw4AV+HiQ71Wx6tH1Wc6ouSPE6s28eXDEEX7j8rXXej+I0fdhCAVrFbC/mS2T1Bx4VdJTwHZAb2BbMyuXVHGe5VBgQPLYDT9NuNsGazW7rD4LGTV3hFi9mDwZDjvM+0H897+9KX0IoXCZmQEV16iaJw8DfgycYGblyXIV/SAeBdybvO9NSR0ldTezkoYsZ9wnFiFWZy+/DHvuCStXwv/+FwEWQrGQ1FTSeGA+8KyZvQX0A34gaaykpyQNSBbviTeRrzArmZa6wieROmRQgIeRNqtukai5I8Tq5JFH4IQTYKut4KmnYMstc12iEEKamkkam/J6pJmNTF3AzMqAwZI6Ao9K2gG/RrbSzIbK7/e6E9g7zW0eAmyO1DTN5Q8C2la7E2muqHhFiNXarbfCT34Cu+8Ojz8OnTvnukQhhAyUmllaN76Y2WJJLwLD8COsR5JZjwJ3Jc9n49fKKvRKpqUSMKnWJa5CRjW3RBtgMN4ccr1TkWZrd6qwRIhlzMybz19yiY++/NBD0KZNrksVQqhPkroCa5IAa40fFV0F/BvYD/gM2Af4OHnLGOAcSaPwBh1Lqrgetl8tilI5CNeTds0tcSDwALBpFbMNSPfwML9EiGXEDC680HugP/lk+PvffSTmEELR6Q7cIz/11wR4yMwel/QqcL+kX+ANP85Mln8Sb14/FW9if9oGazR7ub4LmUnNfQPwBHCxGXPquyA5EyGWtrIyP304ciScc473gRjjf4VQnMzsA2CnKqYvxjvxrTzdgJ82fMnWl0nN3Qc4sqgCDCLE0lRa6l1I/eMfcPHFfjox7gELIeRaJv9HvwZs01AFyZkIsRqVlsJJJ3mAXXklXHFFBFgIIT9kUnPfClwj0QP4kEpDTJtRVfci+S9CrFpr1sCJJ8K//gVXXw0XXFDze0IIIVsyqbkr+rsaWcW8aNhRhEpL1wXYtdfC+efnukQhhKIjdcFvoB6P2apM355Jzd0305UXhAixKpWVwSmneIBdd533gxhCCPVG2gS4AzgGPxAaAExDuhWYi9mIdFaTds1txvRaFDP/RYhtoLwczjoL/vlP+OMfI8BCCA3iKrxbqiHAqynTHweuAEaks5JMb3YeBPwKGIgn5yTgz2ZMyGQ9eaUixJoW5tnQ+mbmzefvugtGjICLLsp1iUIIRepI4LuYjUdKHV9sMrBVuitJu3WixJHAe3i3Ik8B/wW2AMZJHJHuevJOaakHWDS3A+B3v/MxwC680HvkCCGEBtIJ+LKK6Zvg45SlJZMm9pcDV5ixnxm/Tx77AX9M5tVI0jBJUyRNlVTl//iSvi9pkqSJkv6ZQflqp7Q0TiUmrrnGm9CffTb86U+R6yGEBvUOfjRWoeJo7Gzg9XRXkkntvTVwXxXT7wMurOnNSdclN+P9b80C3pE0xswmpSwzAPgNsJeZLUoZbK3hRIgBcMcd3nz+Bz+Am2+OAAshNLiLgaeRtsez6Pzk+a7At9JdSSZHYvOBnauYvjMwL4337wpMNbNpZrYaGIUPopbqLOBmM1sE6w221nAixHjsMRg+HIYNg3vvjcuDIYQsMHsd2ANoAXwKHADMAfbALO37jjOpvW8HbpPoz7pDvb3whh5/TuP9VQ2YVnno6q0BJL2G33c2wsz+m0EZM9fIQ+zNN/3oa+edYfRoaNEi1yUKIRQ9qTnwD+BizE6py6oyqb0vx3ss/iXwf8m0OcClwI11KUSl8gwA9sXHovmfpB2TDifXkjQcGA7Qoq61biMOsSlT4PDDoUcPHw+sbbVDz4UQQj0xW4N0MH75qE7SPp1ohplxvRm9gA5ABzN6mXGDGVbT+0lvwLRZwBgzW2Nmn+Hj1AyotAxmNtLMhprZ0GZ1DaBGGmLz58Ohh3ov9P/9L3Rr+KuPIYSQ6hHge3VdSa1qbzO+qsXb3gEGSOqLh9dxwAmVlvk3cDxwl7wrkq2BabUpY9oaYYitXAnf+Q6UlMBLL0H//rkuUQihEZoB/A5pb2AssHy9uWbXpbOSamtviQ+AfcxYJPEhbPyIy4xB1a3LzEolnQM8jV/vutPMJkr6AzDWzMYk8w6WNAm/T+ACM6vqPoL608hCrLwcTj0V3njDu5TarfJVyRBCyI5TgUXAoOSRyoC6hxjwMFDRIePo6hZMh5k9iY/+mTrtkpTnBpyfPLKjkYXYpZfCgw/6fWDHHJPr0oQQGi2zeumPt9ra24zLqnpeVBpRiD3wgA9mecYZ3iNHCCEUurRrb8kbgZhRnrzeHDgcmGSW/t3VeaeRhNjYsXD66bD33vC3v8XNzCGEHJOqb9Vu9vN0VpNJ7f0E3l/iDRLt8AtxbYF2EmeYcW8G68ofjSDE5s71hhzdusW9YCGEvLFjpdfNgW3xNhPj0l1JJrX3UNZ1L/U9YCk+xtiJ+A3PEWJ5aNUq+N73YNEieO21aEofQsgTZvttME1qhY8x9kq6q8mk26l2wOLk+cHAo2asAV7AR+UsTEUeYued5y0R774bBg/OcWFCCKE6ZiuBK4HfpvuWTEJsBrCXRFvgEODZZHpnYEUG68kvRRxid98Nt97qHfsee2yuSxNCCGnpgh80pSWT2vs6vMf6ZcB04H/J9G8BH2awnvxSWgqtWuW6FPVu3Dj48Y9hv/18eJUQQsgrUuVbqQR0xy9RPbnhG6qWdoiZcZvEWHwgzGcrWinivQ//Pt315J0iPBJbtAiOPhq6dIFRo4pu90IIxeFnlV6XAwuAu/BxKtOSVvUm0Rx4FTjZjEdT55nxRLoby0tFFmJmcNppMGsWvPJKNOQIIeSperrZOa1rYkkDjr5U0+1UwSqyELv+evjPf+DPf44upUIIeUy6BKlNFdNbI11SxTuqlEnDjnvwQSuLSxGF2Jtvwq9/Dd/9Lvw8rdsEQwghZy6l6gYcbZJ5acmk9m4LnChxEPAulXocNqMwq80iCbGFC31wy9694c47o0eOEELeE1Wf3dsJWJjuSjKpvbcDKoaM3qrSvMI9zVgEIWYGZ53lQ6u8/jp07JjrEoUQwkZIX+GZYcA0pNT8aAq0Am5Nd3WZtE7c8O7qYlAEIXbHHfDII34dbOjQXJcmhBCqdQ5+FHYnflPzkpR5q4HPMXsj3ZVlXHtLdMF76BhvtnaYlsJV4CE2ZQqcey4ceCCcn70BbEIIoXbM7gFA+gx4HbM1dVldJr3Yb4In59H4YeAAYJrErcBcM0bUpSA5U8Ahtno1HH88tG4N99wDTTJpphNCCLlk9vLa59LmQItK82eks5pMqr2rgB7AEODrlOmPA9/NYD35pYBD7NJLvWeOO++EHj1yXZoQQsiA1B7pHqSvgdnAZ5UeackkxI4EzjNjPOs35JjMhg09CkeBhtjrr8PVV/sAl0cemevShBBCxq4FvgF8B1gJnABcAMwCfpDuSjKpvTsBX1YxfROgLIP15JcCDLHly+GUU2CLLeC663JdmhBCqJVDgeMxewWpDHgXsweRSoCzgdHprCSTI7F38KOxChVHY2dDjOycTRdeCJ9+6r3Ut2+f69KEEIqRpFaS3pb0vqSJki6rNP9GSctSXreU9KCkqZLektSnhk10xDuTB2+huGny/A1gz3TLmUntfTHwtMT2yfvOT57vivdkX5gKLMSeew7+9jf4xS9gn31yXZoQQhFbBexvZsskNQdelfSUmb0paSh+di7VGcAiM+sv6Ti8HUV1pwU/xS9FzcAvSx2H9DY+6HLaNzunfSRmxut4OrZINn4AMAfYw2ztTdCFxQzKygomxL76yq+BbbMNXHFFrksTQihm5iqOtJonD5PUFPgzcGGltxyFd08IfirwAKnavoPuBgYlz/+En9Vbnaz7qnTLmVHtbcaHwCmZvCevlSWX8gokxH79a5g5E1591ZvVhxBCHTSTNDbl9UgzG5m6QBJY7wL9gZvN7C1J5wJjzKykUkb1BGYCmFmppIpThF9UuXWz61Oev4C0LTAU+ASztMeozOQ+sfH4oJj/NKMk3ffltdJS/1kAIfbii3DLLXDeebBn2meLQwhho0rNrNo+fsysDBgsqSPwqKRvAccC+9Zpy8npSeBkzKYkG5uBn1rMSCYNO57EuwuZIfGcxClS+kNI56UCCbHly+HMM6FfvziNGELIPjNbDLwI7IcflU2V9DnQRtLUZLHZQG8ASc2ADlTdop2kl456Gd4rk2tiF5vRF9+Jj4FrgHkSoyS+XdeC5ESBhNjvfw/TpnkfiW02HH0nhBDqnaSuyREYklqDj2BiZpubWR8z6wOsMLP+yVvGsO5y0zHAC2ZWXUjVy/BeGdfeZrwKvCrxc2AY8H944ZvWtTBZVwAh9u67cMMNcPbZ0RoxhJBV3YF7kutiTYCHzOzxapa/A7gvOTJbCBxXw/rbAiciVTm8F2ZpDe9Vq9pbojd+d/WJwPb4uc3Ck+chVlrqQ6x06wZ/+lOuSxNCaEzM7AN8bK/qlmmX8nwlfr0sXfUyvFcmDTs64QU8EdgLmAL8A7jfLPOLcXkhz0Pshhu8b8R//SvGCAshFBmzehneK5Paey6wAHgQ70NxXH0UIKfyOMQ+/xwuuQSOOAKOPjrXpQkhhAYirR3eC7OMh/fKpPY+HHjejPJMN5K38jTEzOCcc0CCm27ynyGEUFSkKof3QroVmIvZiHRWk0nrxGeLKsAgb0NszBh44gkYMcI7+Q0hhCJUL8N7pR1iEp0lbpH4WGKxxNLUR3rr0DBJU5IOIi+qZrmjJVnSP1fDycMQW7HCR2refnv/GUIIRepI4DzMxlOH4b0yqb3vwFuqjMT7TMzoJrWkmebN+L0Gs4B3JI0xs0mVltsEOBd4K5P110oehtgVV8D06fDyy9C8ea5LE0IIDaZehvfKpPY+ADjIrNbhsisw1cymAUgahXcYOanScv+HH2ZeUMvtpC/PQuyjj+DPf4aTToJvFe64ACGEkI6K4b3+kryu1fBemdTe84FlNS61cWs7h0zMAnZLXUDSEKC3mT0haaMhJmk4MBygRYsWtS9RHoWYmZ8+bNPGgyyEEIrcxcDTSGuH90qeZzS8VyZ9J/4W+END9ZcoqQlwHfDLmpY1s5FmNtTMhjarSwDlUYg99hg884w35thss1yXJoQQGpjZRof3wizt4b0yqb1/B/QB5ktMB9asX56148JszNrOIRO9kmkVNgF2AF5KuvffHBgj6UgzSx0uoP7kSYitWgXnnw/bbQc//WlOixJCCNnjQ67UaXivTGrv0XXZEH7+c4Ckvnh4HYd3XQWAmS0BulS8lvQS8KsGCzDImxD7y1/g00/h6aejMUcIoRGRWuE5MDCZMgl4ALOvN/6m9aVde5txWWalq/x+K5V0DvA03lnwnWY2UdIfgLFmNqYu66+VPAixkhK4/HI48kg4+OCcFSOEELLL20A8BrQBKgbBPB24Aunb6Z5SzLj2ltgfT00DJprxUrrvNbMn8XHJUqddspFl9820bBnLgxD7zW9g9Wq47rqcFSGEEHJhJPAacBpm3oO91BbvxWMkPspzjTLpALgn8CiwM37xDaCHxFjgu2ZrpxWOHIfYuHFw773wq1/5gJchhNCIbI+P7LxuCBaz5SRn59JdSSatE2/Eb0Drb0ZvM3rjfV2VJfMKTw5DzMzDq3NnuPjirG8+hBBy7SO826nKuuMDL6clk9r7IGBfMz6rmGDGtGRwzOczWE/+yGGIPfkkvPAC/PWvMcxKCKFR+h1wY3Lk9WYybfdk+kVIndcuabZwYyvJtPauqqupjLqfyis5CrHSUrjgAhgwwEdsDiGERuix5Oc/WZcjFWN2/CflteGNAauUSe39PPBXiePNvOcNiS3wLkPiSCwDf/87TJ4Mjz4aTepDCI1W1gfF/DkwBpgmrWvYgTeNPL4+CpN1OQixZcu8V46994ajjsraZkMIIb+YvVwfq8nkPrGZEkOAA4Ftk8mTzXiuPgqSEzkIsb/8BebN86OwGOwyhNCoSS3wnpq6Ubmhod+SVaMaa2+JQ4FbgEFmLAWeTR5IdJD4HDjLzKcVlCyH2BdfwNVX+xHYHntkZZMhhJCfpIOA+/AAq6za62Cp0mlifw7w5yTA1t+KsQQfNuW8dDaWd7IcYn/8IyxfDldemZXNhRBCPrsZH8W5L95rR+uUR5t0V5JOiA2Cak8ZvgB8I90N5pUshtiMGXDTTXDKKTBwYM3LhxBCkesOXInZdMxWYrZqvUea0gmxrkB5NfMN2DTdDeaVLIbYiBF+DWzEiAbfVAghFILH8aFY6iSd2nsWfjT2yUbmD2L9IVUKR5ZCbMoUuOce+PnPYYstGnRTIYRQKH4E3I+0MzCBSsN7YXZvOitJp/Z+Avg/iSfNWK97fIk2wB+SZQpPRYg1Tev6Ya1ddhm0auWd/YYQQgDgEHwgzMOAFazfcYYB9RZiVwDHAB9L3IT3dwWwHd7oQ0BhNlUoLfUAa8C27hMnwqhRcOGF0K2qNjghhNA4XQPcBIxYrxPgDNUYYmbMl9gTb2Z/Jeu6BTF8bLCfmjGvtgXIqdLSBj+VOGIEtGvn3UyFEEJYqyNwa10CDNK82dmM6cBhEp2A/niQfWLGorpsPOcaOMTGj4fRo+H3v4dNC7PpSwghNJSH8c4zPq3LSjKqwZPQeqcuG8wrDRxiI0Z4D/Xnn99gmwghhEI1DR/F+VvAB2zYsCOtoYJzN6RxPmjAEBs3Dv7zH2/UEUOthBDCBk4HvsKb2Vduam9AhFiNGjDELr8cOnTwZvUhhBAqMetbH6vJZGTn4tNAITZhAjzyiAdYHIWFEEINpM2QapVHEWINEGKXX+4tEs87r95XHUIIxUFqjnQ10ld4hxl9kulXIf0k3dVEiNVziH30ETz0EJxzDnTuXPPyIYTQSF0KHAH8EEjtK/Ft4NR0VxIhVs8hduWV0Lp1tEgMIRQ2Sa0kvS3pfUkTJV2WTL9f0hRJEyTdKal5Ml2SbpQ0VdIHkobUsInjgR9h9h/W7593ArB1uuWMEKvHEJs2De6/H370I+jatd5WG0IIubAK2N/MvgEMBoZJ2h24Hx8YeUd82JQzk+UPBQYkj+F4BxnV6QFMr2J6MzJodBghVo8hdu21vrpf/rLeVhlCCDlhblnysnnyMDN7Mpln+Km/XskyRwH3JrPeBDpK6l7NJiYC36pi+veBd9MtZzSxr6cQmzcP7rwTTj4ZevSol1WGEEJDaiZpbMrrkWY2MnUBSU3xQOkP3Gxmb6XMaw6cBJybTOoJzEx5+6xkWsl6W5XuTN5zGfAPpN74KM7HIm0LnAB8O92diCOxegqxG2+EVauij8QQQsEoNbOhKY+RlRcwszIzG4wfbe0qaYeU2X8D/mdmr2S43VOA1pg9hh91HYxfE7sUPxV5BGbVDcS8njgSq4cQW7oUbr4Zjj4atk77cmQIIRQGM1ss6UVgGDBB0qX4gMlnpyw2G+id8roXVY81uW7YELOn8Y7kay2OxOohxG69FZYsgYsuqocyhRBCHpDUVVLH5Hlr4CDgI0ln4mOBHW9mqa0KxwAnJ60UdweWmFlJ5fUmbCPTMxZHYq1a1WkVq1bB9dfDQQfBzjvXU7lCCCH3ugP3JNfFmgAPmdnjkkrxVoVvyMdifMTM/gA8iQ9wORUf5PK0atY9t8ZxHM3SGq04QqyOR2L//CfMnQv3pjUGaQghFAYz+wDYqYrpVVaaSWvFn6a5+uHA4loXLkVWQ0zSMOAGvCXK383sT5Xmn4/fc1AKLABON7Oq7iOoH3UMMTNvVj9oEBx4YD2WK4QQittjmM2vjxVl7ZpYckh6M35D3EDgeEkDKy02DhhqZoOA0cDVDVqoOobY00/DxIl+X1hNR8YhhBCAerweBtlt2LErMNXMppnZamAUfnPcWmb2opmtSF6+ybqb6BpGHUPs2mv9nrDjjqvHMoUQQnGr13/5sxliG7sRbmPOAJ6qaoak4ZLGShpbWlpa+xLVIcTefx+eew5+9jNo0aL2RQghhEbFrEl9nUqEPG3YIemHwFBgn6rmJzfljQRo27Zt7Q9N6xBi110HbdvC2WfXvGwIIYSGkc0QS+tGOEkHAr8F9jGzVZXn16tahlhJCTzwgHf026lTA5QrhBBCWrJ5OvEdYICkvpJaAMfhN8etJWkn4DbgSKvHw82NqmWI3XKLv/Xcc2teNoQQQsPJWoiZWSlwDt7FyGT8xrmJkv4g6chksT8D7YB/SRovacxGVlc/ahFiq1Z5Dx2HHw79+jVQuUIIIaQlq9fEzOxJ/K7u1GmXpDzP7t1WtQixBx+EBQvg5z9voDKFEEJIW/SdmEGImcENN8DAgXDAAQ1YrhBCCGnJy9aJWZNhiL3+Orz3np9OjJubQwgh9+JILIMQu+EG6NgRfvjDhitSCCGE9EWIpRlis2bBI4/AmWf6/WEhhBByr/GGmBmUlaUdYiNHQnk5/OQnDVyuEEIIaWu8IVZW5j/TCLE1a+D22+Gww6Bv3wYuVwghhLQ13hCr6HMxjRD79799zLA4CgshhPwSIZZGiP3tb9CnDxxySMMWKYQQQmYixGoIsUmT4KWXvJ/EpmkNlh1CCCFbIsRqCLFbbvGhVk4/PQtlCiGEkJEIsWpCbNkyuPde+P73oWvXLJUrhBBC2iLEqgmxUaNg6VI/lRhCCCH/RIhVE2K33+79JO65Z5bKFEIIISMRYhsJsQ8+gLffhuHDo5/EEELIVxFiGwmx22+Hli3hpJOyWKYQQggZiRCrIsRWrID77oOjj4bOnbNcrhBCCGmLEKsixEaPhiVL4KyzslymEEIIGYkQqyLEbr8dBgyAffbJcplCCCFkJEKsUoh99BG8+qofhUWDjhBCyG8RYpVC7M47fdLJJ+egTCGEEDISIZYSYmvWeA8d3/42bLZZjsoVQgghbRFiKSH23//CvHlw2mk5KlMIIYSMRIilhNhdd0G3bj74ZQghhPwXIZaE2IIF8NhjfnNz8+Y5LFcIIYS0RYglIXb//T4pTiWGEELhiBBr1gwzP5W4yy6w/fa5LVYIIYT0RYg1a8a4cd7hbxyFhRCCk9RK0tuS3pc0UdJlyfS+kt6SNFXSg5JaJNNbJq+nJvP7ZKOcEWLNmvHXv0LbtnD88bktUggh5JFVwP5m9g1gMDBM0u7AVcD1ZtYfWASckSx/BrAomX59slyDa/QhNu/LZtx/P5x+OnTsmNsihRBCvjC3LHnZPHkYsD8wOpl+D/Cd5PlRyWuS+QdIDd/vUaMPsTvuaUZZGZx3Xm6LE0IIWdZM0tiUx/DKC0hqKmk8MB94FvgUWGxmyaksZgE9k+c9gZkAyfwlwKYNvA9sfFjjYpeE2N3/aMbRR8NWW+W4PCGEkF2lZja0ugXMrAwYLKkj8CiwbTYKlomsHolJGiZpSnLh76Iq5mfvwmASYgu/asYvf9lgWwkhhIJnZouBF4E9gI6SKg6AegGzk+ezgd4AyfwOwJcNXbashZikpsDNwKHAQOB4SQMrLZa1C4NlqzzEdt2jGbvt1lBbCSGEwiSpa3IEhqTWwEHAZDzMjkkWOwX4T/J8TPKaZP4LZmYNXc5sHontCkw1s2lmthoYhV8ITJW1C4MfjPMQ++m5jfeMagghVKM78KKkD4B3gGfN7HHg18D5kqbi17zuSJa/A9g0mX4+sMHZtoaQzRp87UW/xCyg8jHQehcGJVVcGPwidaHkAuRwgBYtWtSqMKV9BvBaj2M49MjoYyqEECozsw+AnaqYPg0/KKk8fSVwbBaKtp6CbJ1oZiPNbKiZDW1WxcjM6djl8qPYa/a/aNK6ZT2XLoQQQrZkM8TWXvRLpF4Q3GCZbF4YDCGEUJiyGWLvAAOSLktaAMfhFwJT5eTCYAghhMKUtWtiyTWuc4CngabAnWY2UdIfgLFmNga/MHhfcmFwIR50IYQQQpVU6Ac6bdu2teXLl+e6GCGEUFAkrTCztrkuR10VZMOOEEIIASLEQgghFLAIsRBCCAUrQiyEEELBKviGHZLKga9r+fZmQGmNSxWX2OfGIfa5cajLPrc2s4I/kCn4EKsLSWNrGoqg2MQ+Nw6xz41DY9znygo+hUMIITReEWIhhBAKVmMPsZG5LkAOxD43DrHPjUNj3Of1NOprYiGEEApbYz8SCyGEUMAixEIIIRSsRhtikoZJmiJpqqSsDKPdUCTdKWm+pAkp0zpLelbSJ8nPTsl0Sbox2e8PJA1Jec8pyfKfSDqlqm3lA0m9Jb0oaZKkiZLOTaYX8z63kvS2pPeTfb4smd5X0lvJvj2YDHOEpJbJ66nJ/D4p6/pNMn2KpENytEtpk9RU0jhJjyevi3qfJX0u6UNJ4yWNTaYV7Xe7zsys0T3woWA+BbYCWgDvAwNzXa467M+3gCHAhJRpVwMXJc8vAq5Knh8GPAUI2B14K5neGZiW/OyUPO+U633byP52B4YkzzcBPgYGFvk+C2iXPG8OvJXsy0PAccn0W4EfJ89/AtyaPD8OeDB5PjD5vrcE+iZ/B01zvX817Pv5wD+Bx5PXRb3PwOdAl0rTiva7XddHYz0S2xWYambTzGw1MAo4KsdlqjUz+x8+/lqqo4B7kuf3AN9JmX6vuTeBjpK6A4cAz5rZQjNbBDwLDGvwwteCmZWY2XvJ86+AyUBPinufzcyWJS+bJw8D9gdGJ9Mr73PFZzEaOECSkumjzGyVmX0GTMX/HvKSpF7At4G/J69Fke/zRhTtd7uuGmuI9QRmpryelUwrJpuZWUnyfC6wWfJ8Y/tekJ9JcspoJ/zIpKj3OTmtNh6Yj1dKnwKLzayi26HU8q/dt2T+EmBTCmyfgb8AFwLlyetNKf59NuAZSe9KGp5MK+rvdl1kbWTnkDtmZpKK7l4KSe2Ah4HzzGyp/9PtinGfzawMGCypI/AosG1uS9SwJB0OzDezdyXtm+PiZNM3zWy2pG7As5I+Sp1ZjN/tumisR2Kzgd4pr3sl04rJvOS0AsnP+cn0je17QX0mkprjAXa/mT2STC7qfa5gZouBF4E98NNHFf+MppZ/7b4l8zsAX1JY+7wXcKSkz/FT/vsDN1Dc+4yZzU5+zsf/WdmVRvLdro3GGmLvAAOSVk4t8IvAY3Jcpvo2BqhokXQK8J+U6ScnrZp2B5YkpymeBg6W1Clp+XRwMi3vJNc57gAmm9l1KbOKeZ+7JkdgSGoNHIRfC3wROCZZrPI+V3wWxwAvmF/xHwMcl7Tk6wsMAN7Oyk5kyMx+Y2a9zKwP/jf6gpmdSBHvs6S2kjapeI5/JydQxN/tOst1y5JcPfBWPR/j1xV+m+vy1HFfHgBKgDX4ue8z8GsBzwOfAM8BnZNlBdyc7PeHwNCU9ZyOX/SeCpyW6/2qZn+/iV83+AAYnzwOK/J9HgSMS/Z5AnBJMn0rvEKeCvwLaJlMb5W8nprM3yplXb9NPospwKG53rc0939f1rVOLNp9Tvbt/eQxsaJuKubvdl0f0e1UCCGEgtVYTyeGEEIoAhFiIYQQClaEWAghhIIVIRZCCKFgRYiFEEIoWBFiIaSQdKqkZTUv2SDbfkmSJY/d03zP3SnvOabmd4RQXCLEQqORUtlv7HE38CB+r06u3IX30v9umsufmywfQqMUfSeGxiS1sj8cuL3StK/N7Gvg66yWan0rzGxuugub2RJgSWq/kSE0JnEkFhoNM5tb8QAWV55mZksqn06UNELShGSAwc8lLZd0l6QWkn4iaaakLyVdJ6lJyvtaSLpK0ixJKyS9o1oOxijpEknTJa2SNFfSvXX9LEIoFnEkFkLN+uDjNh2OD2fxMH4EV4L3SbctPlDja8k88NOC/YAT8K7ADgMek7SLmb2f7oYlHQ38Cjge71aoGz74YQiBCLEQ0tEU73tuCTBB0n+BfYCe5oOqTpb0GrAf8LCkfnjo9DGzGck6bpJ0IHA2PgJxurbEw/IZM1sDzADG1stehVAE4nRiCDWbkQRYhXnAx0mApU7rljwfgnfMOknSsooHPkJxvwy3/S+8Y9vPJN0h6VhJLWu3GyEUnzgSC6Fmayq9to1Ma5o8b5K83qWK5TJqNGJmMyVtAxwAHAhcC1wqaTczW57JukIoRhFiIdS/cfiR2OZm9mJdV2ZmK4EngCck/Qkfnn4v4Jm6rjuEQhchFkI9M7OPJd0P3C3pl8B7QGd8TKxptm4k6hpJOhX/O30LWAb8AD+6+6Seix1CQYoQC6FhnIYPxHg1PjT8QnygxkyPzBYDvwauAZoDk4Dvmdln9VbSEApYDIoZQp6Q9BIwwczOqcV7DTjWzEbXe8FCyGPROjGE/DI8ac24SzoLS7o1V309hpAP4kgshDwhqSfQOnk508xWpfGebkD75GVJtFgMjU2EWAghhIIVpxNDCCEUrAixEEIIBStCLIQQQsGKEAshhFCwIsRCCCEUrP8H6q5pOLplf6kAAAAASUVORK5CYII=\n",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -200,7 +204,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -219,7 +223,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -231,7 +235,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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g1lNpMKTBsJs+NCsZX30Ft9wCV1yR5s3bdFO49lo48cQ0JJmZlZVSSoDLG0IzPbNt1R0zpUpj6S7AUZL+DHQHlklaFBHXNXnUVvoWL4abb4Y//SlNDtu3b3qO78gjPSqLWRkrpQT4CrCFpE1IiW4gcFyVYyobS19k5cbSPSoPkHQhMN/Jz6iogH//Gy66KPXg3G03+Mc/YP/9/aC6mZVOAsza9M4AhgNtgZsjYoKki4ExETGMIjaWWgsSkYYn+/3v4Z13YJdd4F//Sh1cnPjMLOMJcT0hbuvyyitw1lnwwgtpSLLLLksjtTjxmTWa1jIhbsk8B2jWINOmpc4sO+8MEyfC4MHwxhtw+OFOfmZWrZKpAjWrl6VL4cYbU3XnwoXw29/Ceed5Ulkzq5MToLVc48bBqafCq6+mufauvx6+/vW6P2dmhqtArSVavBjOPx922ilNQnvHHfD4405+ZlYQlwCtZRkzJrX1TZgAJ5wAV10Fa65Z7KjMrAVyCdBahqVLU4/O3XaD2bPh4YfTM35OfmZWTy4BWun76CP4wQ/guefgmGPghhuc+MyswZwArbQ9+GCq6qyogFtvTYnQjzWYWSNwFaiVpiVL4Jxz0rREvXunHp8//KGTn5k1GpcArfRMnw5HH50mpf3pT+HKK6FTp2JHZWatjBOglZaxY9PoLZ9/DkOGwPHHFzsiM2ulXAVqpePOO+E730nVnM8/7+RnZk3KCdCKLwIuuQSOPTY93P7KK7DDDsWOysxaOVeBWnEtWQKnn56mK/rhD+Gf/4QOHYodlZmVAZcArXjmz4fvfjclvwsugFtucfIzs2bjEqAVx4wZcNBBaSDrm2+Gk04qdkRmVmacAK35TZ0K++8P77+fZm4/9NBiR2RmZcgJ0JrXhx/CPvukEuDw4bDXXsWOyMzKlBOgNZ/334d+/WDePHjqKejbt9gRmVkZcwK05vHeeyn5LVwII0dCnz7FjsjMWgrp2np86kIiZtZ62oioZ0QtX5cuXeLLL78sdhit36RJsMce8NVX8OSTsN12xY7IzBpA0oKI6NKMF1wGvAh8lecndge2JGJSbQe5BGhNa8oU2HdfWLQInn4att222BGZWct0BBHT8zpSmpfPYU6A1nQ++ywlv5kzU7Wnk5+Z1c9JwJwCjj8d+Kyug1wF6irQpjFjRmrzmzgx9fbcffdiR2RmjaTZq0DTRdsQsayOYzYj4v18T+mRYKzxzZqVnvN75x24/34nPzNrDP+sda+0KfBUISd0ArTGNWcOHHAAjB8PQ4dC//7FjsjMWodDkP5c7R6pNyn5vV3ICd0GaI1n1iw4+OA0e/u998KBBxY7IjNrPb4LPIH0ORFXLN8qbUxKfpOAgoaVcgK0xjFxYhrY+oMP0rx+Ht7MzBpTxMtIRwIPIn1BxL+QepGS32TgICIWFXJKJ0BruFGj4Igj0kS2Tz6ZnvkzM2tsEU8g/QgYgtQJOBuYRkp+Cws9ndsArf4i4KqrYL/9YJ114KWXnPzMrGlF/Af4BXAdMAM4gIj59TlVSSVASQMkvSNpoqRzq9nfUdJd2f7RSg2fSOov6VVJb2Sv/Zo9+HIzfXpq7zv77DSt0YsvwuabFzsqM2utpDeQXkd6HTgDWAKsC7ywfHval7eSqQKV1Ba4HugPTAFekTQsIt7MOewUYFZEbC5pIDAIOAb4AjgkIj6R9E1gOLBR895BGXn0UTj55NTp5brr4Gc/S9WfZlb2lKomRwEdSTnmnoi4QJKAS4CjgaXADRFxbbb9GuAgYAFwYkSMrebU9zR2rCWTAIGdgYmRjd0m6U7gMCA3AR4GXJi9vwe4TpIiYlzOMROAzpI6RsTipg+7jMydm0p8N90E22wDjz0G229f7KjMrLQsBvpFxHxJ7YHnJD0KfAPoBWwVEcskrZsdfyCwRbbsAtyQva4s4qLGDrSUqkA3IvXkqTSFVUtxy4+JiArS0Dg9qhzzPWCsk18je+IJ+OY34V//gt/9Ls3k7uRnZlVEUtkm1z5bAvgpcHFko7nEinE9DwNuzT73EtBd0gbNEWspJcAGk7QNqVr09FqOOU3SGEljKioqmi+4lmr+/FTF2b8/rLYavPACXHYZdOxY7MjMrHjaVf4dzZbTcndKaivpNWA6MCIiRgObAcdkxz8qaYvs8LoLP9IjSN3yjk66F2m9Om8i7xM2vamk4nGlntm26o6ZIqkd0I3UCwhJPYGhwI+ilrHgImIwMBjSWKCNFn1r9Pzz8KMfpWf7fv1r+OMfoXPnYkdlZsVXERE71rQzIpYCfSR1B4ZmfTM6AosiYkel5/luBvLtNn4AsD6pr0g++gN1jlVaSgnwFWALSZuQEt1A4LgqxwwDTiDNC3UUMDIiIvshPwycGxHPN1/IrdTSpXDppXDRRdC7d3rOz+N5mlmBImK2pKeAAaSS3X3ZrqHAv7L3+RR+xMr9QRpFQQlQYjWgD6nr6UrVpxHLb6xeIqJC0hmkHpxtgZsjYoKki4ExETEMuAm4TdJEYCYpSULqErs58AdJf8i27R/5zh1lK0yZAscfn5LeD38I118Pq69e7KjMrIWQtA6wJEt+nUmlsUHA/cA+wAfAXsC72UeGAWdkHR93AeZExKdVTrtPPUKpmkRXjTXf6ZAk9gPuYNVOJwARQb5F05Lh6ZCqeOEFOPJI+PJL+NvfUgI0M6uitumQJG0H3EIqyLQB7o6Ii7OautuBjYH5wE8i4r/ZYxDXkUqJC4CTImJMM9xGQQlwAqma8rwIPmnSqJqJE2COm2+Gn/4UNt4YHngAtt662BGZWYkqynyATaCQXqC9gT+2luRnmQg491w45RTYc08YPdrJz8zKQiEJ8Hlgy6YKxIpg2bL0iMOgQfCTn6QRXtZaq9hRmZk1i0I6wdwI/EViQ+AN0jhsy0VQ3dA1VqoqKuCkk2DIEPjtb+FPf/JwZmZWVgppA1xWy253gmlJli1LPT3vvDM97nDeecWOyMxakJJoA5TWJj1c/xr1HPmrkBLgJvW5gJWYCPjVr1LyGzQIzjmn2BGZmeVPWp30SNxRpCHWtgAmId0ITCPiwnxPlXcCjOCjAsO0UjRoEFx7bRrU2snPzFqeQaSh0nYAnsvZ/hBwKSsmTKhToQ/Cbwf8BtialHnfBK6IYHwh57EiufXWNJD1ccfBFVcUOxozs/o4FDiCiNeQctvw3gI2LeREefcClTgUGEsasuZR4DHSA43jJA4p5KJWBK++CqeeCv36pRkd2rSqcdDNrHysSTYGdBWrk+YZzFshnWBeB4ZGcEGV7RcDh0XQ4ubGKZtOMDNnQt++aYzPsWNh7bWLHZGZtWBF7QQjPQ3cT8TVSPOA7Yj4AOkG4GtEHJTvqQqpAv06cFs1228D3JhUqpYtS0OaTZ0Kzz3n5GdmLd15wHDS9HftgLOz9zsDexZyokLqwaYDfavZ3hf4rJCLWjO6/HJ45BG4+mrYeediR2Nm1jARLwC7AR2A94F9gU+A3Ygo6Hn0QkqA/wD+LrE58EK27TukTjHuUVGKxo2DCy6AgQPTOJ9mZi2Z1B4YApxHxAkNPl0BbYACzgJ+DWyYbf6ElPyujaDFTS7bqtsAv/oKdtoJPv8cJkyANdcsdkRm1koUuQ1wFtCXiEkNPVXeVaARRARXRdCTNBN7twh6RnBNS0x+rd6ll8Lrr8Pf/+7kZ2atyX3AkY1xonrNCB/BvMa4uDWRcePgsstS55dD/ISKmbUqHwPnI+0BjAFWrsaLuDLfE9VaBZo9+rBXBLMk3oCaS3oRbJfvRUtFq6wCrahIVZ/TpqWqT8/uYGaNrMhVoB/UsjeIyPth+LpKgPcClYOM3pPvSa2I/vEPeO01uPtuJz8za30iGm1c6rw7wbRGra4EOHMmbLEFbLcdjBzp6Y3MrEmUxGwQjSDvNkApdZiJSNMiSawPHAy8GbH8sQgrpj/8AWbPhmuucfIzs9ZJurbW/RG/zPdUhXSCeZg0/uc1El1JjY9dgK4Sp0RwawHnssb2xhtwww1pZvftWlxzrJlZvratst4e2ApoC4wr5ESFJMAdWTHk2ZHAXNIcgceTHoZ3AiyWCDjrLOjWDS6+uNjRmJk1nYh9VtkmdSLNEfhsIacqZCi0rsDs7P3+pIGxlwAjSbPyWrE88URq87vwQujRo9jRmJk1r4hFwGXA7wv5WCEJ8GPgOxJdgAOAEdn2tYAFhVzUGlEEnH8+9OoFp59e7GjMzIplbVJBLW+FVIFeSZr5YT7wETAq274n8EYhF7VG9PDD8PLL6fGHjh2LHY2ZWdOSzq66BdiA1Bz3SEGnKuQxCIm+pElwR0QwP9v2XWB2BM8XcuFS0OIfg1i2LM3zN28evPUWtG9f7IjMrAyU2IPwy4DPSc1xfyIi75HK8ioBSrQHngN+FMHQ3H0RPJzvxayR3Xdfeuj9ttuc/MysPDTig/B5tQFmnV02oZah0KyZLVuWpjr6xjfg2GOLHY2ZWfOQ/oC0WjXbOyP9oZBTFdIJ5hbg1EJObk3ogQfgzTfTw+9t2xY7GjOz5nIB1Xd2WS3bl7dCOsF0AY6X6A+8SpURuCPI++l7a6AIGDQINt0Ujjqq2NGYmTUnUX1t5LeAmYWcqJAE+A2gcrr5qqNtu2q0OT33HIweDddfD+3qNaOVmVnLIs0j5ZoAJiHl5p22QCfgxoJOWUqDYUsaAFxDupl/RsTlVfZ3JI040xeYARwTER9m+34HnAIsBX4ZEcPrul6L7QV6yCHw0kvw0Uew2qpV4WZmTakovUClE0ilv5uBs4A5OXu/Aj4k4sVCTllw8UFibdLIL69FLJ8qqcEktQWuB/oDU4BXJA2LiDdzDjsFmBURm0saCAwCjpG0NTAQ2AbYEHhC0tcjYmljxVcyJkyAhx6Ciy5y8jOz8hFxC1D5GMQLRCxp6CkLmQ1idVLm/R6pCLoFMEniRmBaBBc2MJadgYkRMSldT3cChwG5CfAwWH6de4DrJCnbfmdELAY+kDQxO19B/xvI11lnpacPiuHct69grzarcczwnzN3ZHFiMLOWrU8fuPrqYkdRTxHPLH8vrQ90qLL/43xPVUgv0EGk0tUOwMKc7Q8BRxRwnppsBEzOWZ+Sbav2mIioIBWBe+T5WQAknSZpjKQxFRUVjRB28+mx+BP2m347j2xwCnPbe8xPMytD0hpItyAtBKYCH1RZ8lZIFeihwBERvCat1OnlLVbtFFOyImIwMBhSG2B9zlG0/zldOBhGL+V7z5zJ9zz8uJmVp78C2wOHA/cBJ5MKPGcCvy7kRIWUANckdTypanVSx5OGmgr0ylnvmW2r9hhJ7YBuWUz5fLZl++or+Pvf4cADYTNnPzMrTZI6SXpZ0n8lTZB0UZX910qan7PeUdJdkiZKGi2pdx2XOBD4Bamj41LgVSKuBM4FCpoRoJAE+AqpFFipsvR0OjTKjPCvAFtI2kRSB1KnlmFVjhkGnJC9PwoYGakb6zBgYPaD3ITUPvlyI8RUOoYOhWnT4Oc/L3YkZma1WQz0i4jtgT7AAEm7AkjakVSYyrW8cyNwFam5rTbdSRMywIpmMEh9Pr5dSKCFVIGeBwyX2Cb73NnZ+51JM0I0SERUSDoDGE56DOLmiJgg6WJgTEQMI014eFvWyWUmKUmSHXc3qcNMBfDzVtcD9Prr04PvAwYUOxIzsxplhZLKEl77bImsp/8VwHGs3G+k2s6NUfMzeu+Tmt0+JjXBDUR6mTRRe0EPwhc6G8S2pNnf+5JKj2OBQREtczqkFvMc4Ouvw/bbw1/+Ar8uqIrbzKzRSfqKlafBG5z1r6jc35Y0YtjmwPUR8VtJZwJtIuIqSfMjomt27HhgQERMydbfB3aJiC9quPivgKVEXIvUj9QRsz0pJ51JxHX53kdBzwFmie6EOg+0xnX99dCpE5x0UrEjMTMDqIiIHWvamdXA9ZHUHRgqaU/gaGDvBl854qqc9yORtgJ2BN4joqDCWN5tgBKvSfxaYoNCLmANNHs2DBkCxx0Ha61V7GjMzPIWEbOBp4B9SKXBiZI+BFbLmrKg5s6Nq5LaI41G2jLnIh8TcV+hyQ8K6wTzCHAG8LHEExInSIVNP2/18H//BwsWwE9/WuxIzMzqJGmdrOSHpM6k0b1ejYj1I6J3RPQGFmSdXqDmzo2rSqO/NNrUfAWPBSqxO6kR82jS9BMPAre1xIlxW0QbYN++sHQpjBsHUrGjMTOrdSxQSduRps9rSypk3R0RF1c5JrcNsBNwGytmcxhYOSJYDRe/AoCI/2nwfdR3MGyJdsAA4I/AdhG0uEnpSj4BvvYafOtbcO218ItfFDsaMzOgSINhr7j434DjSaO+rDI1HxF5T81Xr7l0JHqRSoHHkwagfq4+57E63HQTdOiQ2v/MzAwacWq+QgbDXpNU7Xk88B3gHWAIcHsEeQ8+anlatAhuvx2OOAJ6eNxPMzMAIvZprFMVUgKcBnwO3AWcFcG4xgrCqnH//TBrFpxySrEjMTMrPdLyqflIMwEVfop82wAl+gNPRrCsPhcqRSXdBti/P7z3HkyaBG0K6axrZta0itwGuOrUfBGTkG4EphFxYb6nyvsvawQjWlPyK2kffghPPJEefHfyMzPL1WhT8xXSBrgWcCmwL7AuVZJnBGsUcmGrxe23p9cTPOiOmVkVhwJHEPEaUoOm5iukDfAm0nMag4FPaKQHEa2KiDTyy557Qu/exY7GzKzUNNrUfIUkwH2B/hGMLuQCVqBXX4W334azzy52JGZmpahyar6rs/V6T81XSAKczoopLqypDBmSnv076qhiR2JmVorOA4YjLZ+aL3tf8NR8hfSw+D1wscf/bEIVFXDHHXDwwbBm1TkjzcyMiBdIE992IM0NuC+pWW43IsbW9tGqCikBng/0BqZLfAQsWTkmtivkwlaNJ56A6dPhBz8odiRmZqUrzfzQ4F6ChSTAexp6MavDkCHQvTscdFCxIzEzK11pAO3jgK2zLW8CdxCxsOYPVXOa+g6G3RqU1IPw8+fDeuul0t/f/17saMzMalTkB+F3IM1CtBorZqX/JrAY+G4h1aAFD4Yt0Y+UdQOYEMHThZ7DqvHAA2nev+OPL3YkZmalbDDwPHASEakEI3UhjQ4zmDQ7fF4KGQptI2Ao0JfU4AjpafwxwBERy7e1GCVVAjz0UBg7Fj7+2KO/mFlJK3IJcCHQl4g3q2zfBhhDROd8T1XIX9prSQ8Zbh5Brwh6AVtk264t4DxW1ezZ8NhjcMwxTn5mZrV7m1T4qmoD4N1CTlRIFWh/YO8IPqjcEMEkiV8CTxZyUavi/vthyZKUAM3MrDbnA9ciXQy8lG3bNdt+LtJay4+MmFnbiQptA6yuvrR8e9E0ljvvhE02gZ12KnYkZmal7sHs9f9YkX+UvT6Qsx5A29pOVEgCfBL4X4ljI5gMILExaTgalwDr64sv0vN/v/kNSHUfb2ZW3ooyIe4vgWHAJGmlTjBvAMc2VkBl5777YOlSV3+ameUj4pnGOlVBzwFKCNgP2Crb9FYETzRWMM2tJHqB7rsvTJ4M77zjEqCZtQhF7QWaAuhAevZvlan5iHgk39PUWQKUOBC4AdgugrnAiGxBopvEh8CpEWmbFeCzz+Dpp+G885z8zMzyIfUHbiMlv6rqbPfLlU+f+zOAK7Lkt/KVgjmk2XnPyveCluPee2HZMld/mpnl73rS7O+bkEaD6ZyzrFbIieqsApWYDOwXwTs17N8SeDKCnoVcuBQUvQp0333hk0/grbeKF4OZWYGK/CD8PGB7IiY19FT5lADXAZbVsj+AHg0NpOx8/jk88wx873vFjsTMrCV5iDQdUoPl0wt0CrAd8F4N+7cDpjYkCKUHF+8iTbf0IfD9iJhVzXEnkB52BLgkIm6RtBrwH2Az0qg0D0bEuQ2Jp1k88EDq/ekEaGZWiJ8AtyP1BcZTZWo+Im7N90T5VIFeQxoFpm8EC6vsW400FuiICM7M96KrXkN/BmZGxOWSzgXWjIjfVjlmrexaO5JKna+SxiVdDOwSEU8p9Qx6ErgsIh6t67pFrQI98EB4912YONEdYMysRSlyFej3gVuAjsACVh6MJYhYI99T5VMFeinQDXhX4rcSh2XLuaRx17oBl+UdfPUOI90Q2evh1RxzADAiImZmpcMRwICIWBARTwFExFfAWCjx9shZs+DJJ1Ppz8nPzKwQfwGuA1YnoisRq+cseSc/yKMKNILpEt8mPQpxGSuGnAlgOPDzCD4rLP5VrBcRn2bvpwHrVXPMRpBGoMlMybYtJ6k7cAhwTQPjaVoPPpjG/nT1p5lZoboDNy6fCqkB8hoJJoKPgIMk1gQ2JyXB9yJYpZ2uJpKeANavZtfvV75WhKSCxxeV1A64A7g2aukdJOk04DSADh06FHqZxnHvvdCzp8f+NDMr3L2kAVneb+iJChoMO0t4r9TnQhGxX037JH0maYOI+FTSBsD0ag6bCuyds94TVpqMdzDwXkRcXUccg7Nj6dKlS/MP5D1vHgwfDqef7qmPzMwKNwm4FGlP4HVW7QRzZb4nKnhG+CYyDDgBuDx7faCaY4YDl0laM1vfH/gdgKRLSG2RP276UBvokUdg8WI46qhiR2Jm1hKdDMwjPQpR9XGIAPJOgAWNBdpUJPUA7gY2Bj4iPQYxU9KOwE8i4sfZcScD52UfuzQi/iWpJ6lt8G1Sj1CA6yLin3Vdtyi9QAcOhKeeSg/At817xB4zs5JR9LFAG0lJJMBiafYEuHgxrLNOSoKDBzffdc3MGlHJJEBpPeBzImobrKVGboRqTiNHpjbAww8vdiRmZi2T1B7pz9mQaFNJA6iANAjpZ4WcygmwOd1/P3TtCv36FTsSM7OW6gLS424/YEWzF8DLwImFnMgJsLksW5aGPzvwQOjUqdjRmJk1CUmdJL0s6b+SJki6KNt+u6R3JI2XdLOk9tl2SbpW0kRJr0vaoY5LHAv8hIgHWHmc6vHA1wuJ1QmwuYweneb/O+KIYkdiZtaUFgP9ImJ7oA8wQNKuwO2kydS3JU1dVNlr/0Bgi2w5jTToSm02JHWWrKodBT7Z4ATYXIYOhfbt4aCDih2JmVmTiWR+tto+WyIiHsn2Bam6snLIysOAW7NdLwHds+fBazIB2LOa7d8njRGdt1J5DrB1i0gJcJ99oFu3YkdjZtZQ7SSNyVkfnA0yAoCktqRktDlwfUSMztnXHvghLJ9AoaZhLj8ll3Rz9pmLgCFIvUizvx+NtBVwHPDdQm7CJcDm8NZbadYHV3+aWetQERE75iwrPdcVEUsjog+plLezpG/m7P4bMCoini3wmicAnYl4kFTa25/UBngBqfr0ECKeKOSELgE2h/vvT6+HHlrUMMzMmlNEzJb0FDAAGC/pAtIk66fnHDYV6JWz3pPq55hdMXVOxHDS6GAN4hJgc3joIdhxR9hww2JHYmbWpCStk83Mg6TOpPlk35b0Y9K0dsfGyg+uDwN+lPUG3RWYkzM7UFWNOnKLS4BN7fPP4aWX4IILih2JmVlz2AC4JWsHbAPcHREPSaog9d58UWke1Psi4mLgEeAgYCJpgtuTajn3tDrnUI3Ie4xJJ8Cm9uijqRPMwQcXOxIzsyYXEa8D36pme7X5JusV+vM8T38aMLvewVXhBNjUHn4YNtgAvrXK98HMzArzIBHVTZdXL24DbEpLlsBjj6Vn/zz3n5lZQzT6zA3+q9yUnn8e5s519aeZWcPV0fhXOFeBNqWHHoIOHWC//YodiZlZyxbR6AU2lwCb0sMPw957pxkgzMyspDgBNpWJE+Htt139aWZWopwAm8rDD6fX7xY0NJ2ZmTUTJ8Cm8uijsOWWsOmmxY7EzMyq4QTYFBYuhGeegQEDih2JmZnVwAmwKTz7LCxaBAccUOxIzMysBk6ATeHxx9PjD3tWN2ejmZmVAifApjB8OOyxB3TpUuxIzMysBk6AjW3qVBg/3tWfZmYlzgmwsT3+eHp1AjQzK2lOgI3t8cdh/fVh222LHYmZmdXCCbAxLV0KI0bA/vtT56SNZmZWVE6AjWnsWJgxw9WfZmYtgBNgYxo+PL169gczs5LnBNiYRoxIM7+vu26xIzEzszo4ATaWBQvgxRdd+jMzayFKIgFKWkvSCEnvZa9r1nDcCdkx70k6oZr9wySNb/qIq/H887BkCfTrV5TLm5lZYUoiAQLnAk9GxBbAk9n6SiStBVwA7ALsDFyQmyglHQnMb55wqzFyJLRrB7vvXrQQzMwsf6WSAA8Dbsne3wIcXs0xBwAjImJmRMwCRgADACR1Bc4GLmn6UGvw5JOw666e/d3MrIUolQS4XkR8mr2fBqxXzTEbAZNz1qdk2wD+CPwVWFDXhSSdJmmMpDEVFRUNCDnH7Nnw6quu/jQza0HaNdeFJD0BrF/Nrt/nrkRESIoCztsH2CwifiWpd13HR8RgYDBAly5d8r5OrUaNgmXLnADNzFqQZkuAEVFj90hJn0naICI+lbQBML2aw6YCe+es9wSeBnYDdpT0Iel+1pX0dETsTXMZORI6d05VoGZm1iKUShXoMKCyV+cJwAPVHDMc2F/Smlnnl/2B4RFxQ0RsGBG9gd2Bd5s1+UFKgLvvDh07Nutlzcys/kolAV4O9Jf0HrBfto6kHSX9EyAiZpLa+l7JlouzbcU1fTq88YarP83MWhhFNE4zWEvUpUuX+PLLLxt2krvugoEDYfRo2HnnxgnMzKyESVoQES1+xu9SKQG2XCNHQrdusMMOxY7EzMwK4ATYUE8/DXvumR6CNzOzFsMJsCGmTYN334W99ip2JGZmViAnwIZ49tn0uueexY3DzMwK5gTYEKNGQZcuaQokMzNrUZwAG2LUKPjOd9z+Z2bWAjkB1tfMmen5P1d/mpktJ6mTpJcl/VfSBEkXZds3kTRa0kRJd0nqkG3vmK1PzPb3bq5YnQDr6/nnIcIJ0MxsZYuBfhGxPdAHGCBpV2AQcFVEbA7MAk7Jjj8FmJVtvyo7rlk4AdbXqFFp6LOddip2JGZmJSOSyrlZ22dLAP2Ae7LtudPe5U6Hdw+wryQ1R6xOgPU1ahTssgt06lTsSMzMmlu7ymnlsuW03J2S2kp6jTSxwQjgfWB2RFTOQZc7nd3yqe6y/XOAHs1wD803G0SrMn9+mv/vd78rdiRmZsVQERE71rQzIpYCfSR1B4YCWzVXYIVwCbA+XnwRli51+5+ZWS0iYjbwFGnauu6SKgtdPUlT3JG99gLI9ncDZjRHfE6A9TFqFLRtC7vtVuxIzMxKiqR1spIfkjoD/YG3SInwqOyw3GnvcqfDOwoYGc00S4OrQOtj1Cjo2xe6di12JGZmpWYD4BZJbUmFrLsj4iFJbwJ3SroEGAfclB1/E3CbpInATGBgcwXqBFgffftCr17FjsLMrORExOvAKsNjRcQkYJU54yJiEXB0M4S2Cs8H2ND5AM3MyoznAzQzM2vBnADNzKwsOQGamVlZcgI0M7Oy5ARoZmZlyQnQzMzKkhOgmZmVJSdAMzMrS2X9ILykZcDCen68HVBR51Gti++5PJTbPZfb/ULD77lzRLT4AlRZJ8CGkDSmtulAWiPfc3kot3sut/uF8rzn6rT4DG5mZlYfToBmZlaWnADrb3CxAygC33N5KLd7Lrf7hfK851W4DdDMzMqSS4BmZlaWnADNzKwsOQEWSNIASe9Imijp3GLH01Qk3SxpuqTxOdvWkjRC0nvZ65rFjLExSeol6SlJb0qaIOnMbHtrvudOkl6W9N/sni/Ktm8iaXT2Hb9LUodix9rYJLWVNE7SQ9l6q75nSR9KekPSa5LGZNta7Xc7X06ABZDUFrgeOBDYGjhW0tbFjarJ/BsYUGXbucCTEbEF8GS23lpUAL+OiK2BXYGfZ7/b1nzPi4F+EbE90AcYIGlXYBBwVURsDswCTileiE3mTOCtnPVyuOd9IqJPzvN/rfm7nRcnwMLsDEyMiEkR8RVwJ3BYkWNqEhExCphZZfNhwC3Z+1uAw5szpqYUEZ9GxNjs/TzSH8eNaN33HBExP1ttny0B9APuyba3qnsGkNQT+C7wz2xdtPJ7rkGr/W7nywmwMBsBk3PWp2TbysV6EfFp9n4asF4xg2kqknoD3wJG08rvOasKfA2YDowA3gdmR0TlMFmt8Tt+NXAOsCxb70Hrv+cAHpf0qqTTsm2t+rudj3bFDsBapogISa3uGRpJXYF7gbMiYm4qHCSt8Z4jYinQR1J3YCiwVXEjalqSDgamR8SrkvYucjjNafeImCppXWCEpLdzd7bG73Y+XAIszFSgV856z2xbufhM0gYA2ev0IsfTqCS1JyW/2yPivmxzq77nShExG3gK2A3oLqnyP8et7Tv+HeBQSR+SmjD6AdfQuu+ZiJiavU4n/UdnZ8rku10bJ8DCvAJskfUY6wAMBIYVOabmNAw4IXt/AvBAEWNpVFk70E3AWxFxZc6u1nzP62QlPyR1BvqT2j6fAo7KDmtV9xwRv4uInhHRm/Tvd2REHE8rvmdJXSStXvke2B8YTyv+bufLI8EUSNJBpDaEtsDNEXFpcSNqGpLuAPYG1gY+Ay4A7gfuBjYGPgK+HxFVO8q0SJJ2B54F3mBF29B5pHbA1nrP25E6P7Ql/Wf47oi4WNKmpNLRWsA44AcRsbh4kTaNrAr0NxFxcGu+5+zehmar7YD/i4hLJfWglX638+UEaGZmZclVoGZmVpacAM3MrCw5AZqZWVlyAjQzs7LkBGhmZmXJCdCsEUg6UdL8uo9skms/LSmyZdc8P/PvnM8cVfcnzFofJ0CzOuQkipqWfwN3AZsWMcx/ARsAr+Z5/JnZ8WZly2OBmtUtN1EcDPyjyraFEbEQWNisUa1sQURMy/fgiJgDzMkd69Ss3LgEaFaHiJhWuQCzq26LiDlVq0AlXShpvKQTsslIv5T0L0kdJP1M0mRJMyRdKalNzuc6SBokaYqkBZJekXRAfeKW9AdJH0laLGmapFsb+rMwa01cAjRrOr1Jc64dTJpe515SyfFT0niMW5GGono+2wepKnMz4DjStDwHAQ9K2iki/pvvhSV9D/gNcCxpeLd1SRP9mlnGCdCs6bQFTsqqG8dLegzYC9gom1D5LUnPA/sA90rajJSwekfEx9k5rpO0H3A68LMCrv01UqJ9PCKWAB8DYxrlrsxaCVeBmjWdj7PkV+kz4N0s+eVuWzd7vwMg4E1J8ysX0uzlmxV47f8AnYAPJN0k6WhJHet3G2atk0uAZk1nSZX1qGFb2+x9m2x9p2qOK6iDTURMlrQlsC+wH/BX4AJJu0TEl4Wcy6y1cgI0Kx3jSCXA9SPiqYaeLCIWAQ8DD0u6HJhGmhD28Yae26w1cAI0KxER8a6k24F/S/o1MJY0P93ewKScWerrJOlE0r/v0cB84BhSqfK9Rg7brMVyAjQrLScBvwf+DPQEZgIvk2YsL8Rs4LfAX4D2wJvAkRHxQaNFatbCeUJcsxZO0tPA+Ig4ox6fDeDoiLin0QMzK3HuBWrWOpyW9RrdKZ+DJd1YrLFLzUqFS4BmLZykjYDO2erkiFicx2fWBdbIVj91z1ArR06AZmZWllwFamZmZckJ0MzMypIToJmZlSUnQDMzK0tOgGZmVpb+P1vOeZVXXmjcAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -352,7 +356,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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5c8s35ZxLurfesmkBw4fDzTfbusWCIOnSjwfHdLf//jBmDIweDcuX28j/bbfZzqjOuVL3yy/QubN1m1avbnsvDhpkuTxc+vLgmCnOPdcGNi6+GO65x+aMf/552LVyLmOpwosvWuq3MWNsI+LcXDjmmLBr5hLBg2MmqVbNxiHffRfWr7dsO7162XPnXMIsXQodOtiSjEMPtZVWt98OFSqEXTOXKB4cM1HbtjZRp1u37XmqJk0Ku1bOpb1t2+CJJ6B+fZuROngwfPqpjTW6zOLBMVPtvjs89pitjaxQwXb+uOoqWLUq7Jo5l5YWLICWLe07Z/Pm9v2zZ08oWzbsmrnS4MEx0510kvX59Oljqedycmw1snMuJvn5tlKqYUPbWa5gC9Y6dcKumStNHhyzQaVKlp912jRLz3H22XDhhbBiRdg1cy6lzZplrcQ+faB9e5vzdsUVnvotG3hwzCZHH21bjN99N/znPzbN7oUXPJG5c1E2brRd4445xlZIjR5tO8cdcEDYNXPJ4sEx25Qvb//qZ860DeQuvdSm3S1dGnbNnEsJn35qG+Lce6+tjMrLs5VSLrt4cMxWOTmWwHzwYJt2V78+DBvmicxd1lq7Fq6/3obpN26E8eNtZVS1amHXLH2ISFsRmS8iC0WkTyHvVxSRV4L3p4lI7Yj3bg2OzxeRNhHH/yEic0Vkjoi8LCK7JeNePDhms7JlbbrdnDnQrJntutqqFXz7bdg1cy6p3ntv+0Y3Bbn9Tz897FqlFxEpCzwOtANygM4iEr3I5SpgpaoeCjwCDAyuzQE6AfWBtsBQESkrIjWAG4CmqtoAKBucV+o8ODqbdjdxIowYYTMQGja0/FeeyNxluF9/tRTF7dpZurdPPoEhQ6Bq1bBrlpaaAQtVdbGqbgZGAWdFnXMW8FzwfDTQWkQkOD5KVTep6hJgYVAeQDmgkoiUAyoDP5byfQAeHF0BEbjyShtgadMGeveG446z7MnOZRhVeO01G1146aXtw/DHHx92zdJaDSBy8sKy4Fih56hqPrAaqL6za1V1OfAg8APwE7BaVSeUSu2jeHB0OzrwQHjjDXjlFfj+e5vh2q+fJzJ3GeOnn2yCzQUXQM2a2ydw75aUkay0Vk5EciMeXUv7A0Vkb6xVWQc4EKgiIpeU9ueCB0dXGBH7yzFvHnTqZBmVjzrK1kk6l6ZUbQH/EUdY+uGBA+1XunHjsGuWNvJVtWnE46mo95cDtSJe1wyOFXpO0E26J/BrEdeeCixR1V9UdQvwOpCU9r0HR7dz1avD88/D22/DmjXWzXrjjZ7I3KWdxYu3Z1Bs1Mi2Pe3dG8qVC7tmGeULoJ6I1BGRCtjEmbFR54wFugTPzwMmq6oGxzsFs1nrAPWA6Vh36rEiUjkYm2wNzEvCvXhwdDE44wyYO9e2OH/kEZuwM3ly2LVyrlhbt9pqpSOPhOnTYehQmDLFlvi6xArGEHsA47EA9qqqzhWRASLSMThtBFBdRBYCNwJ9gmvnAq8CecB7QHdV3aqq07CJOzOA2VjMim6xlgrRLMyOUqVKFV3vrZ+S+fBD+PvfYeFCuPpqm9W6555h18q5P5k7135Vp06173dPPAG1ahV/nSuciPyuqlXCrkeyeMvRxadFC5vB2ru3Lf3IyYG33gq7Vs79YfNmGyZv0sSW7L74ov2KemB08fCWoyu53Fxb/jF7tk3cGTIE9t037Fq5LDZ9uo0rzpkDnTvbdqb+K5kYKd1yFBlSgqv6o/rbTov04Oh2yebNNu3vrrtgjz0sQHbu7NsWuKT6/Xe44w4bEt9/f8uEeOaZYdcqs6R4cNwGfA5sjvGKE4HDUF280yI9OLqEmDvXvrJPm2YDPMOG2SIy50rZlCk2/L1okc0ZGzjQh8FLQxoEx/1RjW0fPpG1QKOigqOPObrEqF/ftjN4+GGbyZqTA08+6YnMXalZvdqCYatW9nrKFPtO5oExK12BZduJ1TXAf4s6wVuOLvEWL7av8pMnQ8uW8PTTcOihYdfKZZC33oJrr4Wff4abboL+/S03qis9Kd1yBBApg2rR38ZFDkF1USzFecvRJV7dujBpkgXFGTNsXeRDD9miM+d2wYoVNqTdsaPlqJg6FR54wAOjA2B4ke+K1AWmxFqYB0dXOkRskVleHpx6Ktx8s2XYmTMn7Jq5NKRqSzJycmDMGFuqkZsLxxwTds1cCjkTkQcKfcf2jZwCfBNrYUkNjoneCFNEdhOR6SLyVbAZ5p1JvB0Xixo14M03YdQo+O47y9Hav7/NcnUuBkuXQocOcMklUK+e7ap2++1QoULYNXMp5gzgWkT+ucNRkYOwwLgY6FjIdYVT1aQ8sE0qFwF1gQrAV0BO1DndgGHB807AK8HznOD8ilh29kVBeQJUDc4pD0wDji2uLpUrV1YXgl9+Ub34YlVQrV9fderUsGvkUtjWrapDh6ruvrtq5cqqgwer5ueHXavsBazXJMWLEj/gVIUNClcEr2spLFL4SKFSPGUls+WY8I0wg/9n64LzyweP7JthlC722QdeeMESma9ebZvn3XSTLVJzLsKCBTaXq1s3aN7ceuN79oSyZcOumUtpqpOAy4BhiFwHTAZ+BtqjuiGeopIZHBO+ESaAiJQVkVnACmCiWqLaPxGRrgX7kOX7DvfhKkhk3rWrLf048kibh++yXn6+rVNs2NASL40cCRMmQJ06YdfMpQ3V14Drgcew7bDasL0RFbO0n5Cjlrm9Mbb/VzMRabCT857SYB+ycr5PTfj22MMyQX/wAZQpY4vVrrnGWpQuK82aZa3EPn2gfXuby3XFFZ5sycVIZDYiXyPyNbY7yBZgP+CzP47bezFJZpSIZyPMZTFuhPkHVV0lIlOAtoBPiUwXLVrY5nr9+9tyj3HjbCV3hw5h18wlycaNln1w4EDreR89Gs49N+xauTQ0OpGFJS0JQBDsFmCbVS7HNsa8SG0fr4JzugNHquq1ItIJOEdVLxCR+sBL2LjlgcD72GaY1YAtQWCsBEwABqrq20XVxZMApKjIROaeNTorfPqpZR2cPx+6dLFe9mrVwq6VK0zKJwFIsKR1q2opbIQJHABMEWsqf4GNORYZGF0Ka9rUAuSdd1rzIScHXn7ZFrm5jLJuHdxwA5x0krUcx4+HZ5/1wOhSh6ePc6kpMpF5hw42PumJzDPC+PE2vPzDD9CjB9x7L1StGnatXHFSuuUo8g7QGdXYJi2IjAG6obrT/KppPyHHZajIRObvv2+vn3rKE5mnsd9+g8svh7ZtoVIl+Phj2+HMA6NLgDbA/ohUi+kBpwFFBnpvObrUt2iRJTKfMsUTmaepMWOge3f49Vfo3dsy3Oy2W9i1cvFI8ZbjNuJf414vYfs5ilAZaIxNj92h1anK63FWLDQeHNOQKowYYUkDtmyx6Y29evmq8BT3008WFN94wzIHjhgBjRuHXStXEikeHFuU4KqpqG7aaZGxBkcRTgVexhblR1NV0uavlAfHNLZ8uaVNGTvWsk6PHAkNCl3a6kKkahNsbrzRJtz072/fa3yJcfpK6eBYCuIZc3wUGAfUVKVM1CNtAqNLczVqwH/+s2Mi8zvv9ETmKWTJEmjTxlblNGxoy1hvucUDo0sv8QTH2sBdqvxYSnVxLjYicOGFlkLl/POtWXL00TB9etg1y2pbt9rS1AYN4PPPYehQGyb+61/Drplz8YsnOH4KHFZaFXEubvvsY5v8vfUWrFxp+0V6IvNQ5OXZmsVevSzpUV4eXHedZQZ0Lh3F86s7DHhQhL+L0FyEoyIfpVVB54rVoYP9Nb76ak9knmRbtsDdd0OTJraTxvPPWwbAWrWKv9a5VBbPhJyiFpj5hByXGj74AP7+d1v+0bUrPPAA7Lln2LXKSLm5lqfh66+hUyfrUt1vv7Br5UpL2k3IEdkHOASYVdSs1J2Jp+VYp4hH3Xg/2LlS0bKl/bW++WYYPtxS0L31Vti1yii//25rFZs3h19+gTfftCx/HhhdShDZHZFXsW0MP6Nga0SRYYj0j7WYmIOjKt8X9Yiz+s6VnsqVYdAgmDoVqleHjh3hoovsL7nbJR98AI0a2Y/3qqusN7tjx2Ivcy6ZBmIB8SggcoPjt4G/xVpIXMPlIjQU4d8i5IrwhQjPieCLzFxqOuYY6/sbMMATme+i1avh2mvhlFMsg9/771s2v732Crtmzv1JR6AXqrPYMWvOPOLo5Yw5OIrQEZiB7av4LrY7xkHATBHOjLUc55KqQgXLVTZzJhxyiLUgO3aEZcvCrlnaGDfOUts+/bRNBp492/amdi5F7Y3tAxxtd2BrrIXE03K8G7hHlVNUuT14nALcF7znXOryROZx++UXuPhimwy89962dvHBB63X2rnCiEhbEZkvIgtFpE8h71cUkVeC96eJSO2I924Njs8XkTYRx/cSkdEi8o2IzBOR44qpxhdY67FAQevxGmwMMjaqGtMDdCPooYUcrwe6MdZyUuFRuXJldVls4ULVVq1UQbVlS9Vvvw27Rill2zbVl15S3Wcf1fLlVe+8U3XTprBr5cIGrNciYwRlgUVY12UF4CsgJ+qcbsCw4Hkn4JXgeU5wfkVskucioGzw3nPA34PnFYC9iqqHwvEKaxWeVtig8C+FyQrrFI4q8tqIRzwtxxXA0YUcPxrY6Z5YzqWcQw6BSZNsNuvMmZbj7KGHLMVLllu2bPv8pbp1YcYMuOMO6512rhjNgIWqulhVNwOjgLOizjkLC3YAo4HWIiLB8VGquklVlwALgWYisidwMjACQFU3q+qqImuh+hlwHBZIFwGtgR+B41CdEevNxBMcnwaeFKGvCKcEj9uw5ABPxVGOc+ETsemWc+fCaafZ0o/jjoM5c8KuWSi2bbNe5vr1rdf54Yfhs888p7vbQTkRyY14dI16vwawNOL1MgqWURRyjqrmA6uxzSx2dm0d4BfgGRGZKSLDRWTnay1FyiPyCrAB1S6oNkA1B9VLUJ0dz83GO+Z4J3Ad8H7wuBboB9wbz4c6lzIiE5kvWWKJzPv3z6pE5gsXQuvWcM01lqJ29mz4xz98NzD3J/mq2jTikYxGUTlsScYTqtoEWA/8aSzzD6pbgNOJf2/HP4lnnaOq8ogqNYE9gT1VqanKo9bN61yaKkhkPm8eXHCB7fJx1FEwbVrYNStV+fnWm9ywoXWfPv20tRoPOSTsmrk0tRxbzVCgZnCs0HNEpBwWS34t4tplwDJVLfjHOBqKTVf6OnBOCeq/gxKlBVZlrSprd/XDnUsp++wDL7wAb79tC/uOPz5jE5nPnm23d/PN1qucl2dZ90TCrplLY18A9USkjohUwCbcjI06ZyzQJXh+HjA5mOwzFugUzGatA9QDpqvqz8BSESnY9KI1kFdMPX4AbkPkTURuR+TGHR4xKjK3qghfAy1UWSnCbIpoqqrSMNYPDZvnVnXFWrMG+vSBJ56wmSlPP50Ri/s2bYJ777XH3nvDY4/Zrl8eFF1xYsmtKiLtgcHYzNWRqnqPiAwAclV1rIjsBjwPNAF+Azqp6uLg2r7AlUA+0EtV3w2ONwaGYxNsFgNXqOrKIiqxpIgqKqoxJQIoLjj2Awap8nvwfOefqNwZywemAg+OLmYffmhNqoULbdePQYPSNpH5tGnb5yBdfDEMHmyNZedikXaJx3dRzLtyZBIPji4uGzZAv342QLf//jBsGJyZPkmh1q+3JEGDB9v8oyefhPbtw66VSzceHHd2otj4pKptXSXC/kAHIE81jqwDKcCDoyuR3Fy48kobsOvUCYYMgX33DbtWRXr/fWvwLllimw/ffz/ssUfYtXLpKG2Co8iQIt9XvSGWYuKZkDMOuN4+m6pALjAI+FCEy+Iox7n01LTp9kTmY8bAEUfAiy+mZCLzVassKJ56KpQrZ73DQ4d6YHRZ4ciox1HARcClEPtGGfEEx6bA5OD5OcAaYD/gauDmOMpxLn1FJjKvVw8uucS6WJcuLf7aJHnzTduA5JlnbN/Fr76Ck08Ou1bOJYnqKVGPE7GlIe8Ar8ZaTDzBsSqwKnh+OvCGKluwgOkro1x2qV8fPvnEBvKmTLHXw4aFmsh8xQpbrnn22bbx8LRpMHAgVKoUWpWcSw2qG7FkNX1jvSSe4PgDcIIIVYA2wMTgeDUg8xaCOVecsmWhZ08bg2zWzAb1WrWCb79NajVUbXnmEUdYsp+77oIvvrBsN865P+yDNfJiUi6Ogh/G1qesA74HPgqOnwzElbPOuYxSty5MnGj9mDfeaClnBgywHGzl4vknFr8ffrBNiN9911LDjhhhQdK5rPXnhf4CHABcjHWtxlZMPEs5RDga2+B4oirrgmNnAKtU+TTmgkLms1VdqfnxR+jWzQb+mja1aNUw8fkxtm2zXtxbbrHn990H3bt7PlRXetJotmp0EoBtWPLyycB9qMaU3S2m4ChCeeAT4DJV5sdZ1ZTjwdGVKlV47TXo0QNWroRbb4W+faFixYQUv2CB5SX4+GNL/fbUU1C7dkKKdm6n0iY4JkhMY47BxJs6JCDTuXMZT8QSmM+bZ+sh77oLmjSBzz/fpWLz822CTcOGNsw5ciSMH++B0bkdiNyBSOVCjldC5I5Yi4lnQs5z2LIN51wsqleH55+Hd96BdevghBOgVy9LWROnWbOgeXNL93rGGRZ3r7jCc6I6V4h+FD7xpnLwXkziCY5VgK4izBJhhAhDIh9xlONcdmnXzjZRvvZaePRR20F40qSYLt240XpkmzaF5cutt3bMGMti55wrlFB4L2dBsvPYCokjfdyUIt5WVdJmywIfc3Sh+egjGzD89ltLRffgg7Y9RiE++8wShX/zDXTpAg8/DNWqJbm+zgVSfsxRZC0WFKtgywsjg1tZYDdgGKrdYyrOE487l2QbNtiGyg8+aKv1hw61lfuBdevg//7PtpOqVcsm3LRpE151nYO0CI5dsFbjSKAXsDri3c3Ad6jGPPAfd3AUYR8sI84sVTbFdXGK8ODoUsKMGdY0nDXLNlX817+Y8NVf6NrV1i/26GH7LlaNedmyc6Un5YNjAZEWwGeobtmlYuLoVt0di8jnYs3VeqosFmEY8LMq/XelIsnkwdGljC1b4MEH0f79WS9VuW7TYL746yWMGCmccELYlXNuu7QJjpFE9sc2Sd5O9YdYLo1nQs5A4EAsw/mGiONvA3+LoxznXIHy5Xn9sFs5afev+HrT4TzPZcytcwYn1Irp369zLprIHog8h8gGYDmwJOoRk3iCY0eglyqz2HGgcx5QN5YCRKStiMwXkYUi0qeQ9yuKyCvB+9NEpHbEe7cGx+eLSJvgWC0RmSIieSIyV0R6xnE/zoXq55/hvPPg3HNhfa3DqfTFRzBkCGU/+cgSmQ8dGmoic+fS1ENAI+BsYCO2XdU/gWXAhTGXoqoxPUDXg9YNnq+NeN4YdFXx11MWWIQF0grAV0BO1DndgGHB807AK8HznOD8ilgygkVBeQcARwXn7A4siC6zsEflypXVubBs26b67LOqe++tWrGi6r33qm7eHHHCkiWqp52mCqonnaT6zTdhVdW5PwDrNcZ4EeoDlimcFDxfo3Bo8LyzwsRYy4mn5fgF1nr8I64G/70G+CyG65sBC1V1sapuBkYBZ0WdcxaWbABgNNBaRCQ4PkpVN6nqEmAh0ExVf1LVGQBq+fLmATXiuCfnkuq776BtW7j8cttzcdYsyy5XvnzESbVrW+qbZ56xVDiNGsH991uKHOdccfbCNscAm7FaPXj+OXB8rIXEExz/D7hLhKex3TxuFGEytrvybTFcXwOI3BF2GX8OZH+co6r5bL+xYq8NumCbANMK+3AR6SoiuSKSm+9/ZFySbdsG//qXrf//7DNbpvHRR3D44Tu5QMQi6Lx5lhLn1lstRc6sWUmstXNpqaCHEqzB1AlrZJ1DHEkAYg6OqnyGRd0KwYe3Bn4EjlNlRqzllAYRqQqMAXqp6prCzlHVp1S1qao2LVfK2wg5F2nePDjpJLjhBjjxREuW0707lInlX9/++1tKnNGjLUVO06aWMmfjxlKvt3Np6lmgYCuc+7Hezc3AIGxiaUziaTmiymxVuqjSQJUcVS5RjXkvx+VArYjXNYNjhZ4jIuWAPYFfi7pWRMpjgfFFVX09nvtxrjRt2WLrFBs3tgD53HO27+LBB5egsHPPhbw8uPRSK7RJE/g0bXaJcy55VB9BdUjwfDJwODYRpzGqj8VaTMzBMcipepMIB8Rb18AXQD0RqSMiFbAJN2OjzhkLdAmenwdMDgaCxwKdgtmsdYB6wPRgPHIEME9VHy5hvZxLuBkz4JhjrJHXsaMFx8su28VE4dWq2Tjk+PGWZaegObpuXcLq7VxaEymPyDREDvvjmOoPqL6OaqwNOSC+luM7QA/gBxEmidBFpNDM54UKxhB7AOOxfuBXVXWuiAwQkYKJPiOA6iKyELgR6BNcOxd4FcgD3gO6q+pW4ARszLOViMwKHu3juCfnEmrDBts5o1kz+O9/4fXXLVn4X/6SwA85/XTrm+3RwwYvGzSACRMS+AHOpSnLipOQ7RVLkj7uRGzdyPnYFiBvAc+rMm5XK5MsniHHlYZPPrFscAsW2HZSDz2005ziifPpp5bI/JtvbALPQw95dnJXKtImQ47IIABU/7lLxcQbHLd/PuWAtsBdQENVyu5KRZLJg6NLpLVrbTLp44/bKoynn4ZTT01iBTZuhLvvtuUe++xjFTn33CRWwGWDNAqOQ4GLsWw4XwI7/rFXvSGmYkoSHEWohbUeLwbqA5+o0iLugkLiwdElynvvwTXXwNKlcP31cM89ISYKnzXLmq4zZsA551iX6wElnSLg3I7SKDgWub0iqjFtrxhP4vG9sa7Ui7GxvvnAC8CLqqRVIkgPjm5X/for3Hgj/PvfcMQRMGIEHHdc2LXCEgU89BD06weVKsEjj9hmkLs0E8i5NAqOCRLPhJyfgTuAXOAYVeqrcl+6BUbndoWqTbDJyYGXXoLbboOZM1MkMAKUKwe33AJffQVHHmmDn23aWGoe50pZovNnR7xXVkRmisjbcVRmH0SaI1KxJPcST3DsABykyk2qzCzJhzmXzn76yYbyLrjANiHOzYW77oKKJfqnV8oOOww++MDGHz//3Ga0DhkCW7eGXTOXoUSkLPA40A7Lh91ZRHKiTrsKWKmqhwKPECzKD87rhA3TtQWGBuUV6ImtcoilIrsj8hqwAkttWiM4PgyR/rHeTzwZciaq4lsEuKyjassLc3JsEf/AgTB1qqU8TWllykC3bjB3Lpx8MvTsaf+dF9vfGOfilPD82QAiUhM4AxgeYz0Ssr1iPEkAqonwhAgLRFglwprIR6zlOJdOliyxXskrr4SGDa23sndv671MGwcdBOPG2QDpN99Yyp577rEUPs7FrlxBfurg0TXq/dLKnz0Y6A0xN846Ar1QnUUJt1cESyAeqxFYYu+nsJyqu7zI0rlUtXWr9Ujeeqs1wIYOtVmpMeVDTUUilnru9NMtq85tt9ng6YgRcPTRYdfOpYd8VW2azA8UkQ7AClX9UkRaxnjZ3lja0Wi7AzGPK8QTHFsDp6kWvuuFc5kiL8/W1X/+ObRrB8OGWeMrI/zlL/DKK9C5s3W5Nm8ON90E/fvb7FbnSi6e/NnLYsyf3RHoGGQ+2w3YQ0ReUNVLiqhHwfaKg4PX8W6vCMQ3IWcF4EkcXcbassXW0jdpAvPnw/PPW29kxgTGSGefbd8CLr8cHnjABlA/+ijsWrn0lvD82ap6q6rWVNXaQXmTiwmMEGyviMgf2ysiEs/2ikB8wbEvMCCefKrOpYsvv7TdoG6/Hf72N5uzcsklGb48cK+9YPhwmDTJ1ke2aGGtyTU+hcDFr5TyZ5ekIjvdXhHVmLdXjCcJwGygNlAW22V5h9F81T/2z0p5ngTAFdiwwXoUH3zQehyfeALOip5flw3Wr7dxyEcfhZo1rS+5vefwd9tlWxKAeIJjv6LeV+XOhNQoCTw4OoCPP7axxQUL7L+DBlljKqtNnWop6PLyrOn8yCOWr9VlvbQKjiK7YSlOC9ZZ5gEvo7ph5xdFFVHSxOPpzINjdluzxmahDh0KdepYovDWrcOuVQrZtMk2VL73XttW5LHH4PzzM7yP2RUnbYKjyFHYblGVgYI9HBsAm4AzYu1aLcmWVa2waKzAXFU+iKuAFODBMXu9+64tyVi2DHr1sgw3VVL/n3s4vv7aWpG5udbXPHQoHHhg2LVyIUmj4JgLLAauQHV9cKwKMBI4hBiXo8TTrVoDeAM4GhvcBMtCkAv8TfWPYynPg2P2+fVX+Mc/bAZqTo4t7zv22LBrlQby82HwYJupVLGiDc5edZW3IrNQGgXHDcDRqOZFHa8P5KIa05qleGarDsEWUB6qSi1VamHTbbcG7zmXciIThb/8sv2NnzHDA2PMypWDm2+G2bMts87VV1sf9KJFYdfMuZ35Bmu4RTsAWBBrIfEEx9OA7qosKTigymLghuA951LKjz/atoYFicK//BIGDEjRROGp7tBDYfJkePJJ+0EeeSQ8/LAnMnep6DZgCCKdEKkdPDphSQH6IlLtj0cR4ulWXQO0iN6RQ4Sjgcmq7Fmi2wiBd6tmtoJE4TfeaHNLBgywLtW0yoeaypYtg+uug7ffhmbNrI+6QYOwa+VKWRp1q0bmYC0IcFLIa0U1cuePHYuJIzi+AewLdFa1BLEiHAS8CPyiyjmx1z5cHhwz15Il1vP3/vu2AcXw4VCvXti1ykCqlobu+uth9Wro29emAFeoEHbNXClJo+DYIuZzVT/caTFxBMdaWIqfBuw4IWc20FGVZTFXKGQeHDPP1q224uD//g/KlrWMaF27pnGi8HTxv//ZtN8XX7TW44gR1pp0GSdtgmOCxLWUQwQBTgUODw7NU2VSaVSsNHlwzCyRicLbt7fkLrVqFX+dS6Bx4+Daa22gt2CNTOXKYdfKJVBaBUfL7doA2I/ouTWq78RURHHBUYR2wBNAQ9Ud920UYU/gK+BqVSbGXPGQeXDMDFu22MbDd90Fu+9umc8uushXGYRmzRq45Rb7dlK3rmVXaNUq7Fq5BEmb4ChyGvA8FhijFTnOGCmWTqcewKDowAigymps1+VesXyYc4kSnSg8Lw8uvtgDY6j22MOS037wgfVnt25tfdurV4ddM5ddHgfeBupgWXIqRTxi7s6IJTg2hCK7TicDjWL9QOd2xYYN1jhp1gx++QXefBNGjYL9CvuO6MLRooVl1+nd28Ygc3JgbPTORc6VmgOAe1H9HtWNqG7a4RGjWILjvsC2It5XoHqsH+hcSX30kW07+MADcMUV1lrs2LH461wIKlWyPu9p06B6dUs/16kTrFgRds1c5nsb27Jql8QSHJdBkdtRNeTPuz07lzBr1tg2gy1aWDazSZNsiUbW76CRDpo2tdysd90Fb7wBRxwBL7xgS0GcKx3XAp0QeQSRqxC5bIdHjGKZkPMolgHnaFU2RL1XGcutOlGVnvHfQzh8Qk76iEwU3rMn3H23JwpPW5HTitu1s4k7Bx0Udq1cjNJoQs4FwHNAReB3ti/8B5uQs0dMxcQQHPcDZmJdq49heesAjsAm6whwlCr/jaf+YfLgmPo8UXiG2roVHn/cEgaUKWNdr9de6wtS00AaBccfgFeA/n/sylGSYmJZ5yjCwdhyjjbsmIZnPFH5VtOBB8fUVZAovEcPWLnS/ob27ev5UDPOkiXWJTBxIpx0kvWT//WvYdfKFSGNguMaoAmqu5QdP6ava6p8r0p7YB+gOXAssI8q7dMtMLrU9eOPtizjwgvh4IM9UXhGq1MHxo+3JLizZ0PDhtaKzM8Pu2Yu/Y3BktXskrg3O84E3nJMLaowciTcdJMnCs9KP/0E3bvbhJ2jjrI+9MaNw66Vi5JGLcfbgZ5Yz+bXwJYd3ld9OKZiPDi6MC1ZYuvEJ03yROFZb8wYC5L/+58tZr39dthtt7Br5QJpFByL6s1UVOvGVIwHRxcGTxTuCvXbb7bX2HPPwWGHWSvyhBPCrpUjjYJjgvifIpd0eXk2B6NXL2jZEubO9QmLLlCtGjz7LLz3HmzcaL8o118Pa9eGXTOXjkT+gkiJ/rL4nyOXNJs32zrFJk1gwQJbpvH2276DhitEmzYwZ44Fxscft+2wxo8Pu1YuHYiUR+QBRNZiCWpqB8cHItIt1mI8OLqkyM2FY47ZMVH4JZd4onBXhKpVbauVTz6x7a/atoUuXazr1bmd6wecCVwCROZSnQ5cHmshHhxdqdqwwfJPN29uicL/8x9PFO7idPzxMHOmLXh96SVLQTd6tKegczvTGbgW1TfZMS/4HCDmxbRJDY4i0lZE5ovIQhHpU8j7FUXkleD9aSJSO+K9W4Pj80WkTcTxkSKyQkTmJOk2XIwKEoUPGgRXXmmtxbPOCrtWLi3ttpv1yefmWj/8+efDOefY4ljndnQg8H0hx8sFj5gkLTiKSFlsn612QA7QWURyok67ClipqocCj2B7RRKc1wmoD7QFhgblATwbHHMporBE4U8/7YnCXQI0agRTp1rCgPfes9yCI0d6K9JFmgucXMjxC4AvYy0kmS3HZsBCVV2sqpuBUUB0O+IsLGEswGigtYhIcHyUqm5S1SXAwqA8VPUjwAchUsS779rciWHDbDbq7Nm2561zCVOunPXVf/21BcurroLTT4fFi8OumQuTyEhEdgfuBP6FSF+gLHA+Is8AfYC7Yi0umcGxBrA04vWy4Fih56hqPrAa2ysylmuLJCJdRSRXRHLzPUVVwv36K1x2GbRvb/MoPv0UHnnEd9BwpahePZgyBZ54wvaNPPJIGDzYFtG6bNQFqITqW1gr8XRszLEfUA84E9VJsRaWNRNyVPUpVW2qqk3LeV6yhClIFJ6TAy+/bLNRZ86E444Lu2YuK5QpY4tk586FU06xvIMnnGCvXdIlel6JiNQSkSkikicic0WkqK0Rt899Vx2PagtUq6JaGdUTUZ0Qz70kMzguByJXtNXkz5sk/3GOiJQD9gR+jfFal2Q//mhzIi64wOZI5OZ6onAXklq14K234MUXYeFCW0w7YIAtrnVJUUrzSvKBm1Q1B9vwonshZUZK2OBzMoPjF0A9EakjIhWwH8TYqHPGYk1jgPOAyWr57cYCnYJvHXWwJvL0JNXbRSlIFJ6TY3MiHnjA5kg0ahR2zVxWE4GLLoJ58+C886BfP2jaFL74IuyaZYuEzytR1Z9UdQaAqq4F5lH0kNrPiGwt8hGjpPUvqmq+iPTAMqWXBUaq6lwRGQDkqupYYATwvIgsxCbZdAqunSsirwJ52DeJ7qq6FUBEXgZaAvuIyDKgn6qOSNZ9ZZvoROFPP+3b8LkUs+++th6yc2e47jrbJfsf/7CWZOXKYdcunZUTkdyI10+p6lMRrwubG9I8qowd5pWISOS8kqlR1+4QBIMu2CbAtCLq2BVYVdyNxCKpg2+q+g7wTtSxOyKebwTO38m19wD3FHK8c4Kr6QoRmSi8TBkYOtT2qvV8qC5lnXmmfYO75RZ46CHbEmv4cBubdCWRr6pNw/hgEamK7dPYS1XXFHHqW6iuSMRn+p82V6x587YnCm/RwuY6XHedB0aXBvbc09YVTZli3a6tWtm3utWrw65ZJiqVeSUiUh4LjC+q6utFfH5CF7v6nze3U1u2wD332L6z8+dbovBx4+Cgg8KumXNxatnS1kXefLO1HnNybAKPS6SEzysJxiNHAPO0+E2KE5qp2YOjK9SMGZYo/LbbLOWbJwp3aa9yZctlOHUqVK8OHTvauOSKhPTCZb1gbXrBvJJ5wKsF80pEpGNw2gigejCv5EZsYT6qOhcomFfyHtvnlZwAXAq0EpFZwaP9TipQJlFdquCbHbsoGzbYvIVBg2xewxNPwNlnh10r5xJs82ZLQXf33bD77pY84OKL/dtfEXyzY5e1PvnEulDvv9+y3eTleWB0GapChe0ZK+rVg0svhQ4dYOnS4q91WcGDo2PtWujRwybdbN4MEyfaOsa99w67Zs6Vspwc+1b46KPwwQdQv751l2zbVuylLrN5cMxy48dbovChQ+GGGyxR+Kmnhl0r55KobFn75Z8zxzYe7dbNJvAsWBB2zVyIPDhmqd9+g8svt83VK1fe/uW5atWwa+ZcSOrUgQkTrNtk9mxo2NDGJX2jgqzkwTELjRljvUkvvmibq8+caZutO5f1ROCKK2zA/YwzoE8fa03OmhV2zVySeXDMIj//DOeea2kna9SwlJN3322brDvnIhxwgH2LHD0ali+3HK19+8LGjWHXzCWJB8csoArPPmutxXHj4L77bPu7xo3DrplzKe7cc7cv8r33XvtH8+mnYdfKJYEHxwz3/ffQrp31FNWvD199ZT1FvqWlczGqVs2+XY4fby3Hk06C66+3ad4uY3lwzFDbtlmi8Pr17Yvuv/4FH34Ihx0Wds2cS1Onn24zWq+/Hh5/3KZ5v/de2LVypcSDYwaaP98ShF9/PZx4ov177tHDE4U7t8uqVrVp3Z98YtO827WDLl3g11/DrplLMP9zmUG2bLHsNo0a2c4Zzz4L774LBx8cds2cyzDHH28zWG+7zfaOzMmB116zAX6XETw4ZohZs2zG+a232jZ2eXn2hdZTRTpXSipWhLvugtxcqFULLrgAzjkHfvwx7Jq5BPDgmOY2brQZ5k2bwk8/2ezz116D/fcPu2bOZYlGjWynj4EDbQwyJ8cSCXgrMq15cExjn30GTZrYDPNLL7XW4jnnhF0r57JQuXLQu7ftGdm4MVx1FZx2GixeHHbNXAl5cExD69ZBz5422eb33+3L6jPPeKJw50JXrx5MngzDhsH06XDkkfDII7B1a9g1c3Hy4JhmJk60f29DhkD37jYTtU2bsGvlnPtDmTJwzTXWldOqFdx4I5xwgv1jdWnDg2OaWLnSempOP922ovv4Y1u7uPvuYdfMOVeomjVh7FibzbpoERx1FNx5p+0L51KeB8c08J//2GL+556z7DZffWVdqs65FCcCnTtbK/L886F/fwuS06aFXTNXDA+OKey//7XZ4X/7G+y3nw1h3HefJwp3Lu3su69tg/PWW7Bqla2TvOkmmzTgUpIHxxSkCi+8YDPC33wT7rnHdtA46qiwa+ac2yUdOliGjq5d4eGHbQLB5Mlh18oVwoNjivnhB9tG7tJLLQ/qrFnwf/8H5cuHXTPnXELsuSc88QR88IFN3mndGq6+2lqULmV4cEwR27bZv5f69S1B+KOP2qSbI44Iu2bOuVLRooWti+zd25IGFHQVuZTgwTEFfPstnHIKdOsGxx5rM75vuAHKlg27Zs65UlWpkmXWmT7dxiXPPhsuvNAmHLhQeXAMUX4+DBoEDRvaDNQRI2DCBKhTJ+yaOeeS6uijLUfr3Xfb9PScHPj3vz0FXYg8OIbk66/huOOsR6VtW5vpfeWVnijcuaxVvrwlSp41Cw4/3HYOaN/edix3SefBMck2bYI77rAvij/8AK++Cq+/DgceGHbNnHMp4Ygjtmf5+Phjm4jw2GM2McEljQfHJJo61ZZj3HUXdOq0fV2wtxadczsoU8Z2KJ871zJ+XH89nHwyfPNN2DXLGh4ck2D9ekuvePzxsGYNjBsHzz8P1auHXTPnXEo7+GDbsfy552DePNse6957bWdzV6o8OJayyZNtws0jj1gu4rlzbRjBOediIgKXXWZdTWedZeOSxxwDX34Zds0ymgfHUrJ6tSXBaN3aekg+/NDWMe6xR9g1c86lpb/8xSYpvPEGrFgBzZvDLbfAhg1h1+wPItJWROaLyEIR6VPI+xVF5JXg/WkiUjvivVuD4/NFpE2sZZYWD46l4K23bCb2iBHwz3/azNSTTw67Vs65jHD22daKvPxyeOAB62r98MOwa4WIlAUeB9oBOUBnEcmJOu0qYKWqHgo8AgwMrs0BOgH1gbbAUBEpG2OZpcKDYwL98gtcdBF07GjjidOm2e9upUph18w5l1H22guGD4dJk2zBdMuWcN11NqkhPM2Ahaq6WFU3A6OAs6LOOQt4Lng+GmgtIhIcH6Wqm1R1CbAwKC+WMkuFB8cEUIWXX7bW4ujRtitNbi40bRp2zZxzGa11a5g9G/7xD3jqKVv2MW5caX1aORHJjXh0jXq/BrA04vWy4Fih56hqPrAaqF7EtbGUWSo8OO6iZctsjPyii6BuXZgxA/r1sw2JnXOu1FWpYjt8fPaZJTXv0AEuvti6shIrX1WbRjyeSvQHpBIPjiWkuv2L2qRJ8NBD9rvZoEHYNXPOZaXmzbd/O3/tNevKeumlZKagWw7UinhdMzhW6DkiUg7YE/i1iGtjKbNUJDU4ZspMpkWLrDfjmmss083s2baO0ROFO+dCVaGCjevMmGFdWRdfDGeeCUuXFntpAnwB1BOROiJSAZtgMzbqnLFAl+D5ecBkVdXgeKcgBtQB6gHTYyyzdKhqUh5AWWARUBeoAHwF5ESd0w0YFjzvBLwSPM8Jzq8I1AnKKRtLmYU9KleurCWRn6/60EOqlSqp7rGH6pNPqm7bVqKinHOudOXnqz78sGrlyqq77676xBOqW7eWuDhgvRb/d749sCD4u9w3ODYA6Bg83w14DZtwMx2oG3Ft3+C6+UC7ospMxkM0SU1uETkO6K+qbYLXtwKo6n0R54wPzvk8aHL/DOwL9Ik8t+C84LIiyyxMlSpVdP369XHVf+VKSxA+fbp16T/xBNSsGVcRzjmXfIsX26Lr99+3NWXvvGPjlHESkd9VNf4L01Qyu1VDnckkIl0LZlnl5+fHXfm99oJDD7Uu/LFjPTA659JE3bowcaItvK5Xr0SBMRuVC7sCyaI2s+opsJZjvNeLwIsvJrxazjlX+kRsT7wrrwy7JmkjmS3HjJrJ5JxzLnMlMzhm1kwm55xzGStp3aqqmi8iPYDx2CzTkao6V0QGALmqOhYYATwvIguB37BgR3Deq0AekA90V9WtAIWVmax7cs45l5mSNls1lZRktqpzzmUzn63qnHPOZTkPjs4551wUD47OOedcFA+OzjnnXJSsnJAjItuADSW8vBw2Yzab+D1nvmy7X/B7jlclVc2aBlVWBsddISK5qppV2xj7PWe+bLtf8Ht2RcuabwHOOedcrDw4Ouecc1E8OMbvqbArEAK/58yXbfcLfs+uCD7m6JxzzkXxlqNzzjkXxYOjc845F8WDY4xEpK2IzBeRhSLSJ+z6lAYRGSkiK0RkTsSxaiIyUUS+Df67d5h1TDQRqSUiU0QkT0TmikjP4HjG3reI7CYi00Xkq+Ce7wyO1xGRacHv+CvBNnAZQ0TKishMEXk7eJ3R9wsgIt+JyGwRmSUiucGxjP3dTiQPjjEQkbLA40A7IAfoLCI54daqVDwLtI061gd4X1XrAe8HrzNJPnCTquYAxwLdg/+3mXzfm4BWqtoIaAy0FZFjgYHAI6p6KLASuCq8KpaKnsC8iNeZfr8FTlHVxhHrGzP5dzthPDjGphmwUFUXq+pmYBRwVsh1SjhV/QjbRzPSWcBzwfPngLOTWafSpqo/qeqM4Pla7I9nDTL4vtWsC16WDx4KtAJGB8cz6p5FpCZwBjA8eC1k8P0WI2N/txPJg2NsagBLI14vC45lg7+o6k/B85+Bv4RZmdIkIrWBJsA0Mvy+gy7GWcAKYCKwCFilqgWpxTLtd3ww0BvYFryuTmbfbwEFJojIlyLSNTiW0b/biVIu7Aq49KGqKiIZufZHRKoCY4BeqrrGGhYmE+9bVbcCjUVkL+AN4PBwa1R6RKQDsEJVvxSRliFXJ9lOVNXlIrIfMFFEvol8MxN/txPFW46xWQ7UinhdMziWDf4rIgcABP9dEXJ9Ek5EymOB8UVVfT04nPH3DaCqq4ApwHHAXiJS8IU5k37HTwA6ish32JBIK+BRMvd+/6Cqy4P/rsC+BDUjS363d5UHx9h8AdQLZrdVADoBY0OuU7KMBboEz7sAb4ZYl4QLxp5GAPNU9eGItzL2vkVk36DFiIhUAk7DxlqnAOcFp2XMPavqrapaU1VrY/92J6vqxWTo/RYQkSoisnvBc+B0YA4Z/LudSJ4hJ0Yi0h4btygLjFTVe8KtUeKJyMtAS2Af4L9AP+A/wKvAQcD3wAWqGj1pJ22JyInAx8Bsto9H/R827piR9y0iDbGJGGWxL8ivquoAEamLtayqATOBS1R1U3g1TbygW/VmVe2Q6fcb3N8bwctywEuqeo+IVCdDf7cTyYOjc845F8W7VZ1zzrkoHhydc865KB4cnXPOuSgeHJ1zzrkoHhydc865KB4cndsFInK5iKwr/sxS+ewPRESDx7ExXvNsxDXnFX+Fc9nJg6NzOxERRHb2eBZ4BagbYjWfAQ4Avozx/J7B+c65InhuVed2LjKIdACejjq2QVU3ABuSWqsd/a6qP8d6sqquBlZH5o51zv2Ztxyd2wlV/bngAayKPqaqq6O7VUWkv4jMEZEuwUaz60XkGRGpICLdRGSpiPwqIg+LSJmI6yqIyEARWSYiv4vIFyLSpiT1FpE7ROR7EdkkIj+LyL939WfhXLbxlqNziVcb2zOvA7YN0hisxfkTlt/ycCx916fBe2Ddo4cAF2HbJ7UH3hKRY1T1q1g/WETOBW4GOmMp8fbDNnF2zsXBg6NziVcWuCLowpwjIu8BLYAawWbZ80TkU+AUYIyIHIIFs9qq+kNQxmMicipwDdAtjs8+GAvCE1R1C/ADkJuQu3Iui3i3qnOJ90MQGAv8F1gQBMbIY/sFz48CBMgTkXUFD2zn+kPi/OzXgN2AJSIyQkTOF5GKJbsN57KXtxydS7wtUa91J8fKBs/LBK+PKeS8uCb7qOpSETkMaA2cCjwE9BOR5qq6Pp6ynMtmHhydC99MrOW4v6pO2dXCVHUjMA4YJyL3Az9jG/5O2NWyncsWHhydC5mqLhCRF4FnReQmYAa2x2BLYLGqvh5rWSJyOfbvehqwDrgQa41+m+BqO5fRPDg6lxquAPoCDwA1gd+A6dhu9fFYBdwCPAiUB/KAc1R1ScJq6lwW8M2OnUtTIvIBMEdVe5TgWgXOV9XRCa+YcxnAZ6s6l966BrNbj4nlZBEZFlYuWOfSibccnUtTIlIDqBS8XKqqm2K4Zj9gj+DlTz6D1bnCeXB0zjnnoni3qnPOORfFg6NzzjkXxYOjc845F8WDo3POORfFg6NzzjkX5f8Bfa34FXVWsOkAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -364,7 +368,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -376,7 +380,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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index 0fba6b5..33d4464 100755
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 <li class="toctree-l1 has-children"><a class="reference internal" href="WS1/module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="WS1/module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="WS1/module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/index.html b/index.html
index c4dd934..3d741da 100755
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 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="WS1/module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="WS1/module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
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index 4b5940c..31eb827 100755
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@@ -201,8 +201,7 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="WS1/module_3/0_intro_module_3.html">Module 3</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/1_operations.html">Operations</a></li>
-<li class="toctree-l2"><a class="reference internal" href="WS1/module_3/2_linear_regression.html">Finding the logarithm of a value in Python</a></li>
-
+<li class="toctree-l2"><a class="reference internal" href="WS1/module_3/2_linear_regression.html">Linear Regression</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/3_stoichiometry.html">Stoichiometry (1)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/4_stoichiometry_solution.html">Stoichiometry (solution)</a></li>
 <li class="toctree-l2"><a class="reference internal" href="WS1/module_3/5_stoichiometry_pt2.html">Stoichiometry (2)</a></li>
diff --git a/searchindex.js b/searchindex.js
index 245ddc6..9095017 100755
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