Minor bugfix

Author: mstimberg

02-testing-assertions.html

@@ -114,10 +114,10 @@ <h2 id="learning-objectives"><span class="glyphicon glyphicon-certificate"></spa
 AssertionError:</code></pre>
 <p>Since this an issue that one has to deal with all the time in testing numerical code, <code>numpy</code> provides a few helpful functions in the <code>numpy.testing.utils</code> package that check for equality up to a certain precision:</p>
 <pre class="sourceCode python"><code class="sourceCode python">values = numpy.array([<span class="fl">0.3</span>, <span class="dv">3</span>*<span class="fl">0.1</span>, <span class="fl">0.1+0.1+0.1</span>, <span class="fl">0.6</span>/<span class="dv">2</span>])
-<span class="dt">print</span>(values == <span class="fl">0.1</span>)</code></pre>
+<span class="dt">print</span>(values == <span class="fl">0.3</span>)</code></pre>
 <pre class="output"><code>[ True False False  True]</code></pre>
 <pre class="sourceCode python"><code class="sourceCode python"><span class="ch">from</span> numpy.testing.utils <span class="ch">import</span> assert_allclose
-assert_allclose(values, <span class="fl">0.1</span>, rtol=<span class="fl">1e-12</span>)
+assert_allclose(values, <span class="fl">0.3</span>, rtol=<span class="fl">1e-12</span>)
 <span class="dt">print</span>(<span class="st">&#39;no assertion raised&#39;</span>)</code></pre>
 <pre class="output"><code>no assertion raised</code></pre>
 <p>There are more helpful <code>assert_…</code> functions in that package, we’ll use them later in the lesson.</p>

02-testing-assertions.md

@@ -135,14 +135,14 @@ Since this an issue that one has to deal with all the time in testing numerical
 
 ~~~ {.python}
 values = numpy.array([0.3, 3*0.1, 0.1+0.1+0.1, 0.6/2])
-print(values == 0.1)
+print(values == 0.3)
 ~~~
 ~~~ {.output}
 [ True False False  True]
 ~~~
 ~~~ {.python}
 from numpy.testing.utils import assert_allclose
-assert_allclose(values, 0.1, rtol=1e-12)
+assert_allclose(values, 0.3, rtol=1e-12)
 print('no assertion raised')
 ~~~
 ~~~ {.output}