From eadffbde81955dc5a2e0f815434bb7388e859cfe Mon Sep 17 00:00:00 2001
From: Igal <ersnedim@gmail.com>
Date: Sat, 30 Nov 2024 17:38:49 -0500
Subject: [PATCH] assignment 1 submitted

---
 02_activities/assignments/assignment_1.ipynb | 103 ++++++++++++++++---
 1 file changed, 87 insertions(+), 16 deletions(-)

diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb
index cbfd8c709..82d24cb18 100644
--- a/02_activities/assignments/assignment_1.ipynb
+++ b/02_activities/assignments/assignment_1.ipynb
@@ -56,32 +56,72 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# This is a function, which we will learn more about next week. For testing purposes, we will write our code in the function\n",
     "def anagram_checker(word_a, word_b):\n",
-    "  # Your code here\n",
-    "\n",
+    "    # makes all words lowercase\n",
+    "    word_a = word_a.lower()\n",
+    "    word_b = word_b.lower()\n",
+    "    # rearranges the letters in alphabetical order and gives true if the words are anagrams \n",
+    "    if sorted(word_a) == sorted(word_b):\n",
+    "      return True\n",
+    "    else: \n",
+    "      return False\n",
+    "  \n",
     "# Run your code to check using the words below:\n",
     "anagram_checker(\"Silent\", \"listen\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"Silent\", \"Night\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"night\", \"Thing\")"
    ]
@@ -97,22 +137,53 @@
   },
   {
    "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": [
     "def anagram_checker(word_a, word_b, is_case_sensitive):\n",
-    "  # Modify your existing code here\n",
-    "\n",
+    "  # \n",
+    "    if not is_case_sensitive:\n",
+    "        word_a = word_a.lower()\n",
+    "        word_b = word_b.lower() \n",
+    "        \n",
+    "  # rearranges the letters in alphabetical order and gives true if the words are anagrams \n",
+    "    if sorted(word_a) == sorted(word_b):\n",
+    "      return True\n",
+    "    else: \n",
+    "      return False\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": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"Silent\", \"Listen\", True) # False"
    ]
@@ -130,7 +201,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "new-learner",
+   "display_name": "dsi_participant",
    "language": "python",
    "name": "python3"
   },
@@ -144,7 +215,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.9.15"
   }
  },
  "nbformat": 4,