Typo in tutorial

Signed-off-by: Matthias Kümmerer <[email protected]>
matthias-k · Mar 27, 2024 · 363db6a · 363db6a
1 parent c451191
commit 363db6a
Showing 1 changed file with 54 additions and 1 deletion.
diff --git a/notebooks/Tutorial.ipynb b/notebooks/Tutorial.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Pysaliency: A short tutorial\n",
     "\n",
-    "`pysaliency` is a python library which aims at making analyzing and modeling of eye movement data convenient. It was build and extended over the course of multiple papers which are reflected in it's structure, mainly:\n",
+    "`pysaliency` is a python library which aims at making analyzing and modeling of eye movement data convenient. It was build and extended over the course of multiple papers which are reflected in its structure, mainly:\n",
     "\n",
     "* [Kümmerer, Wallis & Bethge: Information-theoretic model comparison unifies saliency metrics. PNAS 2015](http://www.pnas.org/content/112/52/16054)\n",
     "* [Kümmerer, Wallis & Bethge: Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics. ECCV 2018](http://openaccess.thecvf.com/content_ECCV_2018/html/Matthias_Kummerer_Saliency_Benchmarking_Made_ECCV_2018_paper.html)\n",
@@ -882,6 +882,59 @@
     "could also have written:"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "ddebf717-0ad4-4241-9f44-703a39c8386d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections.abc import Sequence\n",
+    "from inspect import getmro"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "c04669ae-a3bd-4c5e-be63-8ac5019ed0af",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "isinstance(stimuli, Sequence)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "b8452efb-b7c7-4f83-85a5-96fa7931f846",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "isinstance(np.arange(100), Sequence)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 23,