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Assignment-1 Add anagram checker part 1 and 2 #1

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115 changes: 96 additions & 19 deletions 02_activities/assignments/assignment_1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@
"\n",
"Examples of anagrams:\n",
"* Silent and Listen\n",
"* Night and Think\n",
"* Night and Thing\n",
"\n",
"Example outputs:\n",
"```python\n",
Expand All @@ -56,36 +56,89 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
}
],
"source": [
"# For testing purposes, we will write our code in the function\n",
"def anagram_checker(word_a, word_b):\n",
"# def anagram_checker(word_a, word_b):\n",
" # Your code here\n",
"\n",
"def anagram_checker(string1,string2):\n",
" s1=string1.replace(\" \",\"\").lower()\n",
" s2=string2.replace(\" \",\"\").lower()\n",
" return sorted(s1) == sorted(s2)\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\")"
"print(anagram_checker(\"Silent\", \"listen\"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Silent\", \"Night\")"
]
},
{
"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": [
"anagram_checker(\"night\", \"Thing\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"anagram_checker(\"Li!st en\", \"Si!le nt\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -97,24 +150,48 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
}
],
"source": [
"def anagram_checker(word_a, word_b, is_case_sensitive):\n",
"## def anagram_checker(word_a, word_b, is_case_sensitive):\n",
" # Modify your existing code here\n",
"def anagram_checker(string1, string2, is_case_sensitive=False): ##by default the \"case sensitive switch is off, hence why is false, we dont care about upper or lower cases\"\n",
" if not is_case_sensitive: ##if we do care about upper/lower case\n",
" string1= string1.lower() ##when the switch is off then we turn all into lower cases because we dont care if they were upper or lower case\n",
" string2= string2.lower() ##if the switch is on we do nothing,letter keep their upper or lower case\n",
"\n",
" string1 = string1.replace(\" \",\"\") ##we remove the spaces\n",
" string2 = string2.replace(\" \",\"\")\n",
" \n",
" return sorted(string1) == sorted(string2) ##put the letters in alphabetical order\n",
"# Run your code to check using the words below:\n",
"anagram_checker(\"Silent\", \"listen\", False) # True"
"print(anagram_checker(\"Silent\", \"listen\", False)) # True"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"anagram_checker(\"Silent\", \"Listen\", True) # False"
"print(anagram_checker(\"Silent\", \"Listen\", True)) # False"
]
},
{
Expand All @@ -130,7 +207,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "new-learner",
"display_name": "python-env",
"language": "python",
"name": "python3"
},
Expand All @@ -144,7 +221,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.14"
}
},
"nbformat": 4,
Expand Down
46 changes: 46 additions & 0 deletions Untitled-1.ipynb
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@@ -0,0 +1,46 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "64031f01",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1 + 1"
]
}
],
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"display_name": "python-env",
"language": "python",
"name": "python3"
},
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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