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test #72

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84e127f
homework and files from sessions
hitechparadigm May 2, 2024
d68a700
Merge pull request #1 from hitechparadigm/assignment-1
hitechparadigm May 2, 2024
fe38a8b
Assignment #1: Anagram Checker
hitechparadigm May 2, 2024
f855f9b
Merge branch 'UofT-DSI:main' into main
hitechparadigm May 2, 2024
ccd13fe
changes
hitechparadigm May 2, 2024
bd5c7a7
Added Assignment 1 Anagram checker
hitechparadigm May 4, 2024
d2bd8ff
added one more example checking gibberish
hitechparadigm May 4, 2024
527bf10
added minor corrections
hitechparadigm May 4, 2024
f922dc2
minor changes
hitechparadigm May 4, 2024
2cccad0
Assignment 2
hitechparadigm May 11, 2024
f1fa7ee
Merge pull request #5 from hitechparadigm/assignment-2
hitechparadigm May 16, 2024
6d79426
Merge branch 'main' into assignment-1
hitechparadigm May 16, 2024
46d9038
Merge pull request #4 from hitechparadigm/assignment-1
hitechparadigm May 16, 2024
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299 changes: 283 additions & 16 deletions 02_assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -56,34 +56,138 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 1,
"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",
" \"\"\" Check if two words or phrases are anagrams \"\"\" \n",
" # An anagram is a word or phrase formed \n",
" # by rearranging the letters of another word or phrase\n",
" \n",
" # Remove non-alphabetic characters from the input words \n",
" word_a = ''.join(char for char in word_a.lower() if char.isalpha())\n",
" word_b = ''.join(char for char in word_b.lower() if char.isalpha())\n",
" \n",
" # Check if the sorted characters in the words are the same\n",
" return sorted(word_a) == sorted(word_b)\n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Slient\", \"listen\")"
"anagram_checker(\" Slient\", \"listen\") # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Slient\", \"Night\")"
"anagram_checker(\"Slient\", \"Night\") # False"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"night\", \"Thing\")"
"anagram_checker(\"night\", \"Thing\") # True"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Anagram phrases with spaces\n",
"anagram_checker(\"salvages\", \"Las Vegas\") # True"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Anagram phrases with spaces and punctulation\n",
"anagram_checker(\"the public art galleries\", \"large picture halls, I bet\") #\tTrue"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"asdflkasdjf , 2302, 13 ; /-\", \"gibberish\") #\tFalse"
]
},
{
Expand All @@ -97,26 +201,184 @@
},
{
"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": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
" \"\"\" Check if two words are anagrams with the case sensitive parameter \"\"\"\n",
" \n",
" # Remove non-alphabetic characters from the input words \n",
" word_a = ''.join(char for char in word_a if char.isalpha())\n",
" word_b = ''.join(char for char in word_b if char.isalpha())\n",
" \n",
" # If is_case_sensitive is True, Sort the words not converting to lowercase and compare them \n",
" if is_case_sensitive: \n",
" return sorted(word_a) == sorted(word_b) \n",
" \n",
" # If is_case_sensitive is False, convert both words to lists in lowercase and compare them\n",
" else:\n",
" return sorted(word_a.lower()) == sorted(word_b.lower()) \n",
" \n",
" \n",
"\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Slient\", \"listen\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Iceman\", \"Cimena\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# anagram-phrases with spaces\n",
"anagram_checker(\"the Morse Code\", \"here come dots\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# phrases with spaces, punctuation, and capitalization\n",
"anagram_checker(\"departed this life\", \"He's left it, dead RIP\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"pairs\", \"Paris\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"dormitory\", \"dirty room\", False) # True"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Slient\", \"Listen\", True) # False"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Q!W@E#r4t5y6789\", \"Q!W@E#r,,,4//%^&*()t 5 y ;:6### 7 8-9\", False) # True"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -126,6 +388,11 @@
"|Code Execution|All code cells execute without errors.|Any code cell produces an error upon execution.|\n",
"|Code Quality|Code is well-organized, concise, and includes necessary comments for clarity. E.g. Great use of variable names.|Code is unorganized, verbose, or lacks necessary comments. E.g. Single character variable names outside of loops.|"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
Expand All @@ -144,7 +411,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.9.15"
}
},
"nbformat": 4,
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