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Assignment 1 #1

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5702de3
initial commit for assignment-1.ipynb
HromovaAnna Sep 1, 2024
7fa235f
initial commit for assignment-1.ipynb
HromovaAnna Sep 1, 2024
235d243
initial commit for assignment-1.ipynb
HromovaAnna Sep 11, 2024
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156 changes: 156 additions & 0 deletions assignment-1.ipynb
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Original file line number Diff line number Diff line change
@@ -0,0 +1,156 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b):\n",
" # Convert both words to lowercase\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # Sort the letters in both words and compare\n",
" return sorted(word_a) == sorted(word_b)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # If case sensitivity is False, convert both strings to lower case\n",
" if not is_case_sensitive:\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # Compare the sorted characters of both strings\n",
" return sorted(word_a) == sorted(word_b)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"listen\", False)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "dsi_participant",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.15"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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