From 7cceb6f7bd4641f5d335fa938917b1e8d04971e1 Mon Sep 17 00:00:00 2001
From: Morten Hjorth-Jensen <morten.hjorth-jensen@fys.uio.no>
Date: Mon, 21 Aug 2023 10:26:16 +0200
Subject: [PATCH] correcting typos

---
 doc/pub/week34/html/._week34-bs065.html      |   5 +-
 doc/pub/week34/html/week34-reveal.html       |   5 +-
 doc/pub/week34/html/week34-solarized.html    |   5 +-
 doc/pub/week34/html/week34.html              |   5 +-
 doc/pub/week34/ipynb/ipynb-week34-src.tar.gz | Bin 103516 -> 103516 bytes
 doc/pub/week34/ipynb/week34.ipynb            | 607 ++++++++++---------
 doc/src/week34/week34.do.txt                 |   5 +-
 7 files changed, 319 insertions(+), 313 deletions(-)

diff --git a/doc/pub/week34/html/._week34-bs065.html b/doc/pub/week34/html/._week34-bs065.html
index 9bc961245..0395109d7 100644
--- a/doc/pub/week34/html/._week34-bs065.html
+++ b/doc/pub/week34/html/._week34-bs065.html
@@ -503,7 +503,7 @@ that is the degree of a given polynomial.
 
 <p>The aim is to reproduce Figure 2.11 of <a href="https://github.com/CompPhysics/MLErasmus/blob/master/doc/Textbooks/elementsstat.pdf" target="_self">Hastie et al</a>.</p>
 
-<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( 100 \) data points. You should try to vary \( n \) in your analysis.</p>
+<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( n=100 \) data points. You should try to vary the number of data points \( n \) in your analysis.</p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "default" -->
 <div class="cell border-box-sizing code_cell rendered">
@@ -544,7 +544,8 @@ Write a first code which sets up a design matrix \( X \) defined by a fifth-orde
 <!-- --- begin subexercise --- -->
 <p>
 <b>b)</b>
-Perform an ordinary least squares fitting and compute the means squared error for the training data and the test data.
+Write thereafter (using either <b>scikit-learn</b> or your matrix inversion code using for example <b>numpy</b>)
+and perform an ordinary least squares fitting and compute the mean squared error for the training data and the test data. These calculations should apply to a model given by a fifth-order polynomial.
 </p>
 
 <!-- --- end subexercise --- -->
diff --git a/doc/pub/week34/html/week34-reveal.html b/doc/pub/week34/html/week34-reveal.html
index 432de430e..f6a08fdc4 100644
--- a/doc/pub/week34/html/week34-reveal.html
+++ b/doc/pub/week34/html/week34-reveal.html
@@ -3966,7 +3966,7 @@ that is the degree of a given polynomial.
 
 <p>The aim is to reproduce Figure 2.11 of <a href="https://github.com/CompPhysics/MLErasmus/blob/master/doc/Textbooks/elementsstat.pdf" target="_blank">Hastie et al</a>.</p>
 
-<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( 100 \) data points. You should try to vary \( n \) in your analysis.</p>
+<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( n=100 \) data points. You should try to vary the number of data points \( n \) in your analysis.</p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
 <div class="cell border-box-sizing code_cell rendered">
@@ -4007,7 +4007,8 @@ Write a first code which sets up a design matrix \( X \) defined by a fifth-orde
 <!-- --- begin subexercise --- -->
 <p>
 <b>b)</b>
-Perform an ordinary least squares fitting and compute the means squared error for the training data and the test data.
+Write thereafter (using either <b>scikit-learn</b> or your matrix inversion code using for example <b>numpy</b>)
+and perform an ordinary least squares fitting and compute the mean squared error for the training data and the test data. These calculations should apply to a model given by a fifth-order polynomial.
 </p>
 
 <!-- --- end subexercise --- -->
diff --git a/doc/pub/week34/html/week34-solarized.html b/doc/pub/week34/html/week34-solarized.html
index 3065c7ff9..55c7c83d6 100644
--- a/doc/pub/week34/html/week34-solarized.html
+++ b/doc/pub/week34/html/week34-solarized.html
@@ -3831,7 +3831,7 @@ that is the degree of a given polynomial.
 
 <p>The aim is to reproduce Figure 2.11 of <a href="https://github.com/CompPhysics/MLErasmus/blob/master/doc/Textbooks/elementsstat.pdf" target="_blank">Hastie et al</a>.</p>
 
-<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( 100 \) data points. You should try to vary \( n \) in your analysis.</p>
+<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( n=100 \) data points. You should try to vary the number of data points \( n \) in your analysis.</p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
 <div class="cell border-box-sizing code_cell rendered">
@@ -3872,7 +3872,8 @@ Write a first code which sets up a design matrix \( X \) defined by a fifth-orde
 <!-- --- begin subexercise --- -->
 <p>
 <b>b)</b>
-Perform an ordinary least squares fitting and compute the means squared error for the training data and the test data.
+Write thereafter (using either <b>scikit-learn</b> or your matrix inversion code using for example <b>numpy</b>)
+and perform an ordinary least squares fitting and compute the mean squared error for the training data and the test data. These calculations should apply to a model given by a fifth-order polynomial.
 </p>
 
 <!-- --- end subexercise --- -->
diff --git a/doc/pub/week34/html/week34.html b/doc/pub/week34/html/week34.html
index 732fa7742..f343b6147 100644
--- a/doc/pub/week34/html/week34.html
+++ b/doc/pub/week34/html/week34.html
@@ -3908,7 +3908,7 @@ that is the degree of a given polynomial.
 
 <p>The aim is to reproduce Figure 2.11 of <a href="https://github.com/CompPhysics/MLErasmus/blob/master/doc/Textbooks/elementsstat.pdf" target="_blank">Hastie et al</a>.</p>
 
-<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( 100 \) data points. You should try to vary \( n \) in your analysis.</p>
+<p>Our data is defined by \( x\in [-3,3] \) with a total of for example \( n=100 \) data points. You should try to vary the number of data points \( n \) in your analysis.</p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "default" -->
 <div class="cell border-box-sizing code_cell rendered">
@@ -3949,7 +3949,8 @@ Write a first code which sets up a design matrix \( X \) defined by a fifth-orde
 <!-- --- begin subexercise --- -->
 <p>
 <b>b)</b>
-Perform an ordinary least squares fitting and compute the means squared error for the training data and the test data.
+Write thereafter (using either <b>scikit-learn</b> or your matrix inversion code using for example <b>numpy</b>)
+and perform an ordinary least squares fitting and compute the mean squared error for the training data and the test data. These calculations should apply to a model given by a fifth-order polynomial.
 </p>
 
 <!-- --- end subexercise --- -->
diff --git a/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz b/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz
index e49ae1048bb709ec4936389166e29fed72a72d4e..d4fa5e8dddc54cad30c8da29479181169f857740 100644
GIT binary patch
delta 20
ccmcb!g6+-<Ha7Wg4u;wCjci-l7{jIj08d*6v;Y7A

delta 20
bcmcb!g6+-<Ha7Wg4hAEMMz*bNjA2s%OL7K8

diff --git a/doc/pub/week34/ipynb/week34.ipynb b/doc/pub/week34/ipynb/week34.ipynb
index 08c3b6cf4..165ea68e0 100644
--- a/doc/pub/week34/ipynb/week34.ipynb
+++ b/doc/pub/week34/ipynb/week34.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "233b0b02",
+   "id": "13e4dc19",
    "metadata": {
     "editable": true
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@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9a577266",
+   "id": "8cf0e82d",
    "metadata": {
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@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1e25d9c9",
+   "id": "83d2a9f7",
    "metadata": {
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@@ -51,7 +51,7 @@
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   {
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-   "id": "836d0df6",
+   "id": "16b14357",
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@@ -67,7 +67,7 @@
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   {
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-   "id": "bcd837d2",
+   "id": "4ad19e95",
    "metadata": {
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@@ -91,7 +91,7 @@
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-   "id": "303952d4",
+   "id": "26223efa",
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@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3cd111a6",
+   "id": "c8ab147f",
    "metadata": {
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@@ -127,7 +127,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d0fa271b",
+   "id": "ecea0b07",
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@@ -157,7 +157,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a17f152b",
+   "id": "3566a03e",
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@@ -175,7 +175,7 @@
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   {
    "cell_type": "markdown",
-   "id": "7e0a2d7f",
+   "id": "2083f434",
    "metadata": {
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@@ -189,7 +189,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fed17b39",
+   "id": "c7566646",
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@@ -209,7 +209,7 @@
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   {
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-   "id": "7ae9b5e1",
+   "id": "773a106a",
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@@ -221,7 +221,7 @@
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-   "id": "f7afdfca",
+   "id": "e2a072b9",
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@@ -241,7 +241,7 @@
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-   "id": "c98f395e",
+   "id": "44ddceb6",
    "metadata": {
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@@ -259,7 +259,7 @@
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-   "id": "7965dc36",
+   "id": "2552abd3",
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@@ -284,7 +284,7 @@
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-   "id": "d74368f0",
+   "id": "4af5e853",
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@@ -320,7 +320,7 @@
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-   "id": "3362ef07",
+   "id": "17d334e6",
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@@ -336,7 +336,7 @@
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   {
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-   "id": "673c5af9",
+   "id": "3e0a0db6",
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@@ -358,7 +358,7 @@
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-   "id": "69a64278",
+   "id": "08a6b7dd",
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@@ -376,7 +376,7 @@
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   {
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-   "id": "1dcfcbfd",
+   "id": "af8219ed",
    "metadata": {
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@@ -420,7 +420,7 @@
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   {
    "cell_type": "markdown",
-   "id": "9d4da3b3",
+   "id": "19840fa1",
    "metadata": {
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@@ -463,7 +463,7 @@
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-   "id": "3c8ce265",
+   "id": "c584b1b3",
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@@ -483,7 +483,7 @@
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-   "id": "c02ae9b6",
+   "id": "21fe8057",
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@@ -556,7 +556,7 @@
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-   "id": "13d3088b",
+   "id": "187046e7",
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@@ -585,7 +585,7 @@
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-   "id": "2fde2251",
+   "id": "a871f439",
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@@ -603,7 +603,7 @@
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-   "id": "f18e5b9a",
+   "id": "c4e55931",
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@@ -615,7 +615,7 @@
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-   "id": "6a7e0161",
+   "id": "1c3112c6",
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@@ -650,7 +650,7 @@
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-   "id": "07bbc8bc",
+   "id": "f5e967c7",
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@@ -680,7 +680,7 @@
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+   "id": "c1e1f63b",
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@@ -711,7 +711,7 @@
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-   "id": "c0afd4ad",
+   "id": "55f45375",
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@@ -750,7 +750,7 @@
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-   "id": "7a6bef66",
+   "id": "8d0c1d60",
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@@ -783,7 +783,7 @@
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-   "id": "6656ebe4",
+   "id": "2d31f4f0",
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@@ -818,7 +818,7 @@
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-   "id": "009eaaf6",
+   "id": "655c6cd0",
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@@ -842,7 +842,7 @@
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   {
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-   "id": "22b7f2fb",
+   "id": "2181bae1",
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@@ -869,7 +869,7 @@
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-   "id": "9a111aa6",
+   "id": "0a842681",
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@@ -879,7 +879,7 @@
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+   "id": "f2f46dfc",
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@@ -891,7 +891,7 @@
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   {
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-   "id": "a8484c6f",
+   "id": "1511e979",
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@@ -912,7 +912,7 @@
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   {
    "cell_type": "markdown",
-   "id": "c5d60a14",
+   "id": "155a5117",
    "metadata": {
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@@ -924,7 +924,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "9343d787",
+   "id": "a62df053",
    "metadata": {
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     "editable": true
@@ -936,7 +936,7 @@
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   {
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-   "id": "6150f5e1",
+   "id": "d8c0e2d9",
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@@ -947,7 +947,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "c3ae5ab9",
+   "id": "de4fc767",
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@@ -961,7 +961,7 @@
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+   "id": "3a1b5476",
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@@ -973,7 +973,7 @@
   {
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    "execution_count": 3,
-   "id": "99e7c029",
+   "id": "cc752f30",
    "metadata": {
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@@ -987,7 +987,7 @@
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   {
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+   "id": "07879742",
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@@ -999,7 +999,7 @@
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-   "id": "1b341246",
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@@ -1013,7 +1013,7 @@
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+   "id": "d906520a",
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@@ -1030,7 +1030,7 @@
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-   "id": "796fdd6f",
+   "id": "126f5860",
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@@ -1047,7 +1047,7 @@
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+   "id": "d14718ab",
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@@ -1059,7 +1059,7 @@
   {
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    "execution_count": 6,
-   "id": "0d15736c",
+   "id": "b3643674",
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@@ -1073,7 +1073,7 @@
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@@ -1084,7 +1084,7 @@
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-   "id": "b795edd4",
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@@ -1098,7 +1098,7 @@
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   {
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+   "id": "dc90824d",
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@@ -1109,7 +1109,7 @@
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-   "id": "c7616136",
+   "id": "02fd5e51",
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@@ -1123,7 +1123,7 @@
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+   "id": "9cc3d81d",
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@@ -1138,7 +1138,7 @@
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    "cell_type": "code",
    "execution_count": 9,
-   "id": "8be0abc7",
+   "id": "13730b22",
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@@ -1152,7 +1152,7 @@
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   {
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+   "id": "e19beccd",
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@@ -1163,7 +1163,7 @@
   {
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-   "id": "685110a8",
+   "id": "ad0c506f",
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@@ -1178,7 +1178,7 @@
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+   "id": "5f7e9328",
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@@ -1189,7 +1189,7 @@
   {
    "cell_type": "code",
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-   "id": "4ec7c18a",
+   "id": "cc6790e5",
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@@ -1204,7 +1204,7 @@
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+   "id": "a399fb61",
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@@ -1215,7 +1215,7 @@
   {
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-   "id": "6073332e",
+   "id": "c57dea61",
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@@ -1231,7 +1231,7 @@
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+   "id": "12283acc",
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@@ -1242,7 +1242,7 @@
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-   "id": "2c6def45",
+   "id": "ef5dd9ca",
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@@ -1258,7 +1258,7 @@
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@@ -1269,7 +1269,7 @@
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-   "id": "995318f6",
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@@ -1285,7 +1285,7 @@
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@@ -1297,7 +1297,7 @@
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@@ -1312,7 +1312,7 @@
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@@ -1322,7 +1322,7 @@
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@@ -1334,7 +1334,7 @@
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@@ -1345,7 +1345,7 @@
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@@ -1360,7 +1360,7 @@
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@@ -1375,7 +1375,7 @@
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@@ -1402,7 +1402,7 @@
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@@ -1426,7 +1426,7 @@
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@@ -1452,7 +1452,7 @@
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@@ -1472,7 +1472,7 @@
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@@ -1486,7 +1486,7 @@
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@@ -1499,7 +1499,7 @@
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@@ -1510,7 +1510,7 @@
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@@ -1522,7 +1522,7 @@
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@@ -1533,7 +1533,7 @@
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@@ -1551,7 +1551,7 @@
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@@ -1563,7 +1563,7 @@
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@@ -1587,7 +1587,7 @@
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@@ -1598,7 +1598,7 @@
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@@ -1627,7 +1627,7 @@
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@@ -1638,7 +1638,7 @@
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@@ -1653,7 +1653,7 @@
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@@ -1670,7 +1670,7 @@
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@@ -1701,7 +1701,7 @@
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@@ -1713,7 +1713,7 @@
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@@ -1741,7 +1741,7 @@
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@@ -1771,7 +1771,7 @@
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@@ -1788,7 +1788,7 @@
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@@ -1800,7 +1800,7 @@
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@@ -1821,7 +1821,7 @@
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@@ -1834,7 +1834,7 @@
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@@ -1865,7 +1865,7 @@
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@@ -1877,7 +1877,7 @@
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@@ -1895,7 +1895,7 @@
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@@ -1922,7 +1922,7 @@
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@@ -1944,7 +1944,7 @@
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@@ -1982,7 +1982,7 @@
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@@ -1993,7 +1993,7 @@
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@@ -2006,7 +2006,7 @@
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@@ -2027,7 +2027,7 @@
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@@ -2039,7 +2039,7 @@
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@@ -2049,7 +2049,7 @@
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@@ -2061,7 +2061,7 @@
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@@ -2073,7 +2073,7 @@
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@@ -2085,7 +2085,7 @@
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@@ -2096,7 +2096,7 @@
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@@ -2108,7 +2108,7 @@
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@@ -2130,7 +2130,7 @@
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@@ -2142,7 +2142,7 @@
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@@ -2155,7 +2155,7 @@
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@@ -2172,7 +2172,7 @@
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@@ -2184,7 +2184,7 @@
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@@ -2194,7 +2194,7 @@
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@@ -2206,7 +2206,7 @@
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@@ -2216,7 +2216,7 @@
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@@ -2228,7 +2228,7 @@
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@@ -2238,7 +2238,7 @@
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@@ -2250,7 +2250,7 @@
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@@ -2266,7 +2266,7 @@
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@@ -2278,7 +2278,7 @@
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@@ -2289,7 +2289,7 @@
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@@ -2301,7 +2301,7 @@
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@@ -2315,7 +2315,7 @@
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@@ -2327,7 +2327,7 @@
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@@ -2352,7 +2352,7 @@
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@@ -2369,7 +2369,7 @@
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@@ -2413,7 +2413,7 @@
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@@ -2424,7 +2424,7 @@
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@@ -2446,7 +2446,7 @@
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@@ -2463,7 +2463,7 @@
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@@ -2484,7 +2484,7 @@
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@@ -2498,7 +2498,7 @@
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@@ -2527,7 +2527,7 @@
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@@ -2547,7 +2547,7 @@
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@@ -2564,7 +2564,7 @@
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@@ -2576,7 +2576,7 @@
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@@ -2594,7 +2594,7 @@
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@@ -2605,7 +2605,7 @@
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-   "id": "c0b8a345",
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@@ -2618,7 +2618,7 @@
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@@ -2630,7 +2630,7 @@
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@@ -2661,7 +2661,7 @@
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@@ -2675,7 +2675,7 @@
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@@ -2715,7 +2715,7 @@
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@@ -2735,7 +2735,7 @@
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@@ -2767,7 +2767,7 @@
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@@ -2789,7 +2789,7 @@
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@@ -2817,7 +2817,7 @@
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@@ -2832,7 +2832,7 @@
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@@ -2844,7 +2844,7 @@
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@@ -2859,7 +2859,7 @@
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@@ -2872,7 +2872,7 @@
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@@ -2884,7 +2884,7 @@
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@@ -2894,7 +2894,7 @@
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@@ -2905,7 +2905,7 @@
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@@ -2923,7 +2923,7 @@
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@@ -2934,7 +2934,7 @@
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@@ -2946,7 +2946,7 @@
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@@ -2956,7 +2956,7 @@
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@@ -2968,7 +2968,7 @@
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@@ -2978,7 +2978,7 @@
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@@ -2990,7 +2990,7 @@
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@@ -3000,7 +3000,7 @@
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@@ -3019,7 +3019,7 @@
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@@ -3029,7 +3029,7 @@
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@@ -3041,7 +3041,7 @@
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@@ -3051,7 +3051,7 @@
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@@ -3067,7 +3067,7 @@
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@@ -3087,7 +3087,7 @@
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@@ -3097,7 +3097,7 @@
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@@ -3108,7 +3108,7 @@
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@@ -3127,7 +3127,7 @@
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@@ -3137,7 +3137,7 @@
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@@ -3149,7 +3149,7 @@
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@@ -3159,7 +3159,7 @@
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@@ -3170,7 +3170,7 @@
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@@ -3190,7 +3190,7 @@
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@@ -3202,7 +3202,7 @@
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@@ -3217,7 +3217,7 @@
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@@ -3297,7 +3297,7 @@
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@@ -3307,7 +3307,7 @@
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@@ -3319,7 +3319,7 @@
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@@ -3329,7 +3329,7 @@
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@@ -3340,7 +3340,7 @@
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@@ -3352,7 +3352,7 @@
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@@ -3362,7 +3362,7 @@
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@@ -3374,7 +3374,7 @@
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@@ -3384,7 +3384,7 @@
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@@ -3396,7 +3396,7 @@
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@@ -3409,7 +3409,7 @@
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@@ -3421,7 +3421,7 @@
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@@ -3431,7 +3431,7 @@
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@@ -3443,7 +3443,7 @@
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@@ -3455,7 +3455,7 @@
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@@ -3466,7 +3466,7 @@
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@@ -3478,7 +3478,7 @@
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@@ -3497,7 +3497,7 @@
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@@ -3510,7 +3510,7 @@
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@@ -3520,7 +3520,7 @@
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@@ -3532,7 +3532,7 @@
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@@ -3542,7 +3542,7 @@
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@@ -3554,7 +3554,7 @@
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@@ -3564,7 +3564,7 @@
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@@ -3576,7 +3576,7 @@
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@@ -3587,7 +3587,7 @@
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@@ -3599,7 +3599,7 @@
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@@ -3609,7 +3609,7 @@
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@@ -3621,7 +3621,7 @@
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@@ -3631,7 +3631,7 @@
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@@ -3643,7 +3643,7 @@
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@@ -3664,7 +3664,7 @@
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@@ -3678,7 +3678,7 @@
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@@ -3689,7 +3689,7 @@
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@@ -3701,7 +3701,7 @@
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@@ -3711,7 +3711,7 @@
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@@ -3723,7 +3723,7 @@
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@@ -3733,7 +3733,7 @@
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@@ -3745,7 +3745,7 @@
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@@ -3757,7 +3757,7 @@
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@@ -3771,7 +3771,7 @@
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@@ -3786,7 +3786,7 @@
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@@ -3797,7 +3797,7 @@
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@@ -3810,7 +3810,7 @@
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@@ -3821,7 +3821,7 @@
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@@ -3844,7 +3844,7 @@
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@@ -3858,7 +3858,7 @@
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@@ -3871,7 +3871,7 @@
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@@ -3882,7 +3882,7 @@
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@@ -3894,7 +3894,7 @@
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@@ -3905,7 +3905,7 @@
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@@ -3921,7 +3921,7 @@
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@@ -3932,7 +3932,7 @@
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@@ -3946,7 +3946,7 @@
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@@ -3968,7 +3968,7 @@
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@@ -3980,7 +3980,7 @@
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@@ -3990,7 +3990,7 @@
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@@ -4002,7 +4002,7 @@
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@@ -4014,7 +4014,7 @@
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@@ -4024,7 +4024,7 @@
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@@ -4036,7 +4036,7 @@
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@@ -4046,7 +4046,7 @@
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@@ -4058,7 +4058,7 @@
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@@ -4068,7 +4068,7 @@
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@@ -4080,7 +4080,7 @@
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@@ -4092,7 +4092,7 @@
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@@ -4102,7 +4102,7 @@
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@@ -4114,7 +4114,7 @@
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@@ -4124,7 +4124,7 @@
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@@ -4136,7 +4136,7 @@
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@@ -4148,7 +4148,7 @@
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@@ -4160,7 +4160,7 @@
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@@ -4170,7 +4170,7 @@
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@@ -4182,7 +4182,7 @@
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@@ -4192,7 +4192,7 @@
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@@ -4204,7 +4204,7 @@
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@@ -4214,7 +4214,7 @@
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@@ -4226,7 +4226,7 @@
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@@ -4237,7 +4237,7 @@
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@@ -4249,7 +4249,7 @@
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@@ -4259,7 +4259,7 @@
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@@ -4271,7 +4271,7 @@
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@@ -4281,7 +4281,7 @@
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@@ -4293,7 +4293,7 @@
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    "cell_type": "markdown",
-   "id": "8dc5c63e",
+   "id": "3d4bc6e6",
    "metadata": {
     "editable": true
    },
@@ -4306,7 +4306,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "906b883c",
+   "id": "8fd31f19",
    "metadata": {
     "editable": true
    },
@@ -4318,7 +4318,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ab7d1d9f",
+   "id": "8dc97d57",
    "metadata": {
     "editable": true
    },
@@ -4330,7 +4330,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5ec0e91c",
+   "id": "aba6ba16",
    "metadata": {
     "editable": true
    },
@@ -4342,7 +4342,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3561e85f",
+   "id": "0472cd8a",
    "metadata": {
     "editable": true
    },
@@ -4354,7 +4354,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "530f5ed2",
+   "id": "105c27eb",
    "metadata": {
     "editable": true
    },
@@ -4366,7 +4366,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fd124b60",
+   "id": "a2465810",
    "metadata": {
     "editable": true
    },
@@ -4376,7 +4376,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5991975b",
+   "id": "9b236518",
    "metadata": {
     "editable": true
    },
@@ -4388,7 +4388,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fc515197",
+   "id": "fb483987",
    "metadata": {
     "editable": true
    },
@@ -4400,7 +4400,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "af7d907e",
+   "id": "a4170454",
    "metadata": {
     "editable": true
    },
@@ -4413,7 +4413,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "758750c0",
+   "id": "f8636dd8",
    "metadata": {
     "editable": true
    },
@@ -4440,7 +4440,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3640a768",
+   "id": "d073f49e",
    "metadata": {
     "editable": true
    },
@@ -4451,7 +4451,7 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "id": "4844dfef",
+   "id": "4a766e49",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4547,7 +4547,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c28510d4",
+   "id": "36ed596d",
    "metadata": {
     "editable": true
    },
@@ -4562,7 +4562,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c7206b0",
+   "id": "ef500e43",
    "metadata": {
     "editable": true
    },
@@ -4584,7 +4584,7 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "id": "771dfeff",
+   "id": "eced4003",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4659,7 +4659,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2f58d309",
+   "id": "e424dea3",
    "metadata": {
     "editable": true
    },
@@ -4671,7 +4671,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a972f2ad",
+   "id": "56fb881b",
    "metadata": {
     "editable": true
    },
@@ -4740,7 +4740,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d0989656",
+   "id": "a6425973",
    "metadata": {
     "editable": true
    },
@@ -4754,7 +4754,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "id": "ac7f2e24",
+   "id": "4cd16835",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4767,7 +4767,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e36b77b4",
+   "id": "1c9ee6aa",
    "metadata": {
     "editable": true
    },
@@ -4781,7 +4781,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4695e229",
+   "id": "cd6b4600",
    "metadata": {
     "editable": true
    },
@@ -4794,7 +4794,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10f56411",
+   "id": "be133461",
    "metadata": {
     "editable": true
    },
@@ -4805,7 +4805,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4d18c74a",
+   "id": "a82b5812",
    "metadata": {
     "editable": true
    },
@@ -4817,7 +4817,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "814d16a8",
+   "id": "57563908",
    "metadata": {
     "editable": true
    },
@@ -4827,7 +4827,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ce359a13",
+   "id": "f2d998a9",
    "metadata": {
     "editable": true
    },
@@ -4839,7 +4839,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc10a09b",
+   "id": "8ab4ba25",
    "metadata": {
     "editable": true
    },
@@ -4850,7 +4850,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c1c6bac",
+   "id": "b3a469fc",
    "metadata": {
     "editable": true
    },
@@ -4863,13 +4863,13 @@
     "\n",
     "The aim is to reproduce Figure 2.11 of [Hastie et al](https://github.com/CompPhysics/MLErasmus/blob/master/doc/Textbooks/elementsstat.pdf).\n",
     "\n",
-    "Our data is defined by $x\\in [-3,3]$ with a total of for example $100$ data points. You should try to vary $n$ in your analysis."
+    "Our data is defined by $x\\in [-3,3]$ with a total of for example $n=100$ data points. You should try to vary the number of data points $n$ in your analysis."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "14f8c148",
+   "id": "2603515a",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4885,7 +4885,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f1bb42fa",
+   "id": "03b27779",
    "metadata": {
     "editable": true
    },
@@ -4895,7 +4895,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1b21aefb",
+   "id": "90f20952",
    "metadata": {
     "editable": true
    },
@@ -4906,18 +4906,19 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c8f50072",
+   "id": "b4cc4809",
    "metadata": {
     "editable": true
    },
    "source": [
     "**b)**\n",
-    "Perform an ordinary least squares fitting and compute the means squared error for the training data and the test data."
+    "Write thereafter (using either **scikit-learn** or your matrix inversion code using for example **numpy**)\n",
+    "and perform an ordinary least squares fitting and compute the mean squared error for the training data and the test data. These calculations should apply to a model given by a fifth-order polynomial."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "117b06ed",
+   "id": "d4f5d26c",
    "metadata": {
     "editable": true
    },
diff --git a/doc/src/week34/week34.do.txt b/doc/src/week34/week34.do.txt
index 1ce5a43f1..4081156e2 100644
--- a/doc/src/week34/week34.do.txt
+++ b/doc/src/week34/week34.do.txt
@@ -2584,7 +2584,7 @@ that is the degree of a given polynomial.
 
 The aim is to reproduce Figure 2.11 of "Hastie et al":"https://github.com/CompPhysics/MLErasmus/blob/master/doc/Textbooks/elementsstat.pdf".
 
-Our data is defined by $x\in [-3,3]$ with a total of for example $100$ data points. You should try to vary $n$ in your analysis.
+Our data is defined by $x\in [-3,3]$ with a total of for example $n=100$ data points. You should try to vary the number of data points $n$ in your analysis.
 !bc pycod
 np.random.seed()
 n = 100
@@ -2598,7 +2598,8 @@ Write a first code which sets up a design matrix $X$ defined by a fifth-order po
 !esubex
 
 !bsubex
-Perform an ordinary least squares fitting and compute the means squared error for the training data and the test data.
+Write thereafter (using either _scikit-learn_ or your matrix inversion code using for example _numpy_)
+and perform an ordinary least squares fitting and compute the mean squared error for the training data and the test data. These calculations should apply to a model given by a fifth-order polynomial.
 !esubex
 
 !bsubex