From b3573d11bdc8dcb303b422c63a4b39c67cded3e9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jure=20=C5=A0orn?= <sornjure@gmail.com>
Date: Fri, 27 Jan 2023 14:04:15 +0100
Subject: [PATCH] NumPy

---
 README.md  | 5 +----
 index.html | 7 +++----
 2 files changed, 4 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index dc309c1..f9a48f1 100644
--- a/README.md
+++ b/README.md
@@ -2682,7 +2682,7 @@ import numpy as np
 * **Indexes should not be tuples because Python converts `'obj[i, j]'`  to `'obj[(i, j)]'`.**
 
 ### Broadcasting
-**Broadcasting is a set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.**
+**Set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.**
 
 ```python
 left  = [[0.1], [0.6], [0.8]]                           # Shape: (3, 1)
@@ -2706,9 +2706,6 @@ right = [[0.1,  0.6,  0.8],                             # Shape: (3, 3) <- !
          [0.1,  0.6,  0.8]]
 ```
 
-#### 3. If neither non-matching dimension has size 1, raise an error.
-
-
 ### Example
 #### For each point returns index of its nearest point (`[0.1, 0.6, 0.8] => [1, 2, 1]`):
 
diff --git a/index.html b/index.html
index c6b0514..134cef8 100644
--- a/index.html
+++ b/index.html
@@ -2195,7 +2195,7 @@ drawer = cg.output.GraphvizOutput(output_file=filename)
 <ul>
 <li><strong>Indexes should not be tuples because Python converts <code class="python hljs"><span class="hljs-string">'obj[i, j]'</span></code>  to <code class="python hljs"><span class="hljs-string">'obj[(i, j)]'</span></code>.</strong></li>
 </ul>
-<div><h3 id="broadcasting">Broadcasting</h3><p><strong>Broadcasting is a set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.</strong></p><pre><code class="python language-python hljs">left  = [[<span class="hljs-number">0.1</span>], [<span class="hljs-number">0.6</span>], [<span class="hljs-number">0.8</span>]]                           <span class="hljs-comment"># Shape: (3, 1)</span>
+<div><h3 id="broadcasting">Broadcasting</h3><p><strong>Set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.</strong></p><pre><code class="python language-python hljs">left  = [[<span class="hljs-number">0.1</span>], [<span class="hljs-number">0.6</span>], [<span class="hljs-number">0.8</span>]]                           <span class="hljs-comment"># Shape: (3, 1)</span>
 right = [ <span class="hljs-number">0.1</span> ,  <span class="hljs-number">0.6</span> ,  <span class="hljs-number">0.8</span> ]                           <span class="hljs-comment"># Shape: (3,)</span>
 </code></pre></div>
 
@@ -2213,7 +2213,7 @@ right = [[<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</
          [<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>]]
 </code></pre></div>
 
-<div><h4 id="3ifneithernonmatchingdimensionhassize1raiseanerror">3. If neither non-matching dimension has size 1, raise an error.</h4><div><h3 id="example-1">Example</h3><div><h4 id="foreachpointreturnsindexofitsnearestpoint010608121">For each point returns index of its nearest point (<code class="python hljs">[<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>] =&gt; [<span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">1</span>]</code>):</h4><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>points = np.array([<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>])
+<div><h3 id="example-1">Example</h3><div><h4 id="foreachpointreturnsindexofitsnearestpoint010608121">For each point returns index of its nearest point (<code class="python hljs">[<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>] =&gt; [<span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">1</span>]</code>):</h4><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>points = np.array([<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>])
  [ <span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>]
 <span class="hljs-meta">&gt;&gt;&gt; </span>wrapped_points = points.reshape(<span class="hljs-number">3</span>, <span class="hljs-number">1</span>)
 [[ <span class="hljs-number">0.1</span>],
@@ -2235,8 +2235,7 @@ right = [[<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</
  [ <span class="hljs-number">0.7</span>,  <span class="hljs-number">0.2</span>,  inf]]
 <span class="hljs-meta">&gt;&gt;&gt; </span>distances.argmin(<span class="hljs-number">1</span>)
 [<span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">1</span>]
-</code></pre></div></div></div>
-
+</code></pre></div></div>
 
 
 <div><h2 id="image"><a href="#image" name="image">#</a>Image</h2><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install pillow</span>