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udemy_algorithms/Sorting Algorithms/Insertion Sort.ipynb

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2021-01-30 22:30:06 -08:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Insertion Sort\n",
"© 2021, Joe James"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### using for loop"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"def insertion_sort1(A):\n",
" for i in range(1, len(A)):\n",
" for j in range(i-1, -1, -1):\n",
" if A[j] > A[j+1]:\n",
" A[j], A[j+1] = A[j+1], A[j]\n",
" else:\n",
" break"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### using while loop "
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def insertion_sort2(A):\n",
" for i in range(1, len(A)):\n",
" j = i-1\n",
" while A[j] > A[j+1] and j >= 0:\n",
" A[j], A[j+1] = A[j+1], A[j]\n",
" j -= 1"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Test Function\n",
"Set a result flag. The j loop is used to perform 1000 test iterations. The next two lines create and shuffle list A of 100 integers. Then A is passed to our sorting function. The sorted result is compared to a sort using Python's sorted function. After 1000 iterations of the test, the result is printed."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Success\n",
"Success\n"
]
}
],
"source": [
"import random\n",
"\n",
"def test(func):\n",
" result = 'Success'\n",
" for j in range(1000):\n",
" A = [k for k in range(100)]\n",
" random.shuffle(A)\n",
" func(A)\n",
" if A != sorted(A):\n",
" result = 'Failed'\n",
" print(result)\n",
"test(insertion_sort1)\n",
"test(insertion_sort2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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"display_name": "Python 3",
"language": "python",
"name": "python3"
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