From 3b3f793568c0be8954b627a1a76dbb7a4e1c8f4a Mon Sep 17 00:00:00 2001
From: Nicole Hong <n.hong@queensu.ca>
Date: Mon, 1 Dec 2025 20:48:42 -0500
Subject: [PATCH] completed assignment 1

---
 02_activities/assignments/assignment_1.ipynb | 162 +++++++++++++++++--
 1 file changed, 151 insertions(+), 11 deletions(-)

diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb
index bee48d5a0..67c852edb 100644
--- a/02_activities/assignments/assignment_1.ipynb
+++ b/02_activities/assignments/assignment_1.ipynb
@@ -56,13 +56,93 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "import numpy as np \n",
+    "import pandas as pd \n",
+    "import re \n",
+    "import random\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# to be able to see multiple outputs from single cell\n",
+    "from IPython.core.interactiveshell import InteractiveShell\n",
+    "InteractiveShell.ast_node_interactivity = \"all\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "['e', 'i', 'l', 'n', 's', 't']"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "['e', 'i', 'l', 'n', 's', 't']"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted(\"Silent\".lower()) == sorted(\"listen\".lower())\n",
+    "sorted(\"Silent\".lower())\n",
+    "sorted(\"listen\".lower())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# For testing purposes, we will write our code in the function\n",
     "def anagram_checker(word_a, word_b):\n",
     "  # Your code here\n",
+    "  if sorted(word_a.lower()) == sorted(word_b.lower()):\n",
+    "        return True\n",
+    "  else:\n",
+    "        return False\n",
     "\n",
     "# Run your code to check using the words below:\n",
     "anagram_checker(\"Silent\", \"listen\")"
@@ -70,18 +150,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"Silent\", \"Night\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"night\", \"Thing\")"
    ]
@@ -97,22 +199,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def anagram_checker(word_a, word_b, is_case_sensitive):\n",
     "  # Modify your existing code here\n",
     "\n",
+    "  if is_case_sensitive == True:\n",
+    "        if sorted(word_a.lower()) == sorted(word_b.lower()) and sorted(word_a) == sorted(word_b):\n",
+    "              return True\n",
+    "        else:\n",
+    "              return False\n",
+    "            \n",
+    "  elif is_case_sensitive == False:\n",
+    "        if sorted(word_a.lower()) == sorted(word_b.lower()) or sorted(word_a) == sorted(word_b):\n",
+    "              return True\n",
+    "        else:\n",
+    "              return False\n",
+    "            \n",
+    "  else:\n",
+    "        return False\n",
+    "        \n",
+    "\n",
     "# Run your code to check using the words below:\n",
     "anagram_checker(\"Silent\", \"listen\", False) # True"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"Silent\", \"Listen\", True) # False"
    ]
@@ -130,7 +270,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "new-learner",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -144,7 +284,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,