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145 changes: 129 additions & 16 deletions 02_activities/assignments/assignment_1.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -56,32 +56,87 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 5,
"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",
" \"\"\"determine whether two stings are anagrams of each other.\n",
"\n",
" args: \n",
" word_a(str), word_b(str): two input string.\n",
" \n",
" returns:\n",
" bool: True if the inputs are anagrams, otherwise False.\n",
" \"\"\"\n",
" # check if the words are the same length\n",
" if len(word_a) != len(word_b):\n",
" return(False)\n",
" \n",
" else:\n",
" # set them to lower case\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # alphabetical sorting apply to both words \n",
" word_a = sorted(word_a)\n",
" word_b = sorted(word_b)\n",
" return(word_a == word_b)\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
"anagram_checker(\"Silent\", \"listen\")\n",
"#help(anagram_checker)"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
]
Expand All @@ -97,31 +152,89 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" \"\"\"determine whether two stings are anagrams of each other.\n",
"\n",
" args: \n",
" word_a(str), word_b(str): two input string.\n",
" is_case_sensitive(bool,optional): if True, character case is considered. \n",
" \n",
" returns:\n",
" bool: True if the inputs are anagrams, otherwise False.\n",
" \"\"\"\n",
" # check if the words are the same length\n",
" if len(word_a) != len(word_b):\n",
" return(False)\n",
"\n",
" else:\n",
" # consider the \"is_case_sensitive\"\n",
" if not is_case_sensitive: \n",
" # set them to lower case\n",
" word_a = word_a.lower()\n",
" word_b = word_b.lower()\n",
" \n",
" # alphabetical sorting apply to both words \n",
" word_a = sorted(word_a)\n",
" word_b = sorted(word_b)\n",
" return(word_a == word_b)\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
"anagram_checker(\"Silent\", \"listen\", False) # True\n",
"#help(anagram_checker)"
]
},
{
"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\", \"listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
]
Expand All @@ -139,7 +252,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env (3.11.15)",
"language": "python",
"name": "python3"
},
Expand All @@ -153,7 +266,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.15"
}
},
"nbformat": 4,
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