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{
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"source": [
"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://bit.ly/code-notes).</i></small>"
]
},
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{
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"source": [
"## Problem: Implement quick sort.\n",
"\n",
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"* [Constraints and Assumptions](#Constraints-and-Assumptions)\n",
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"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
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"* [Unit Test](#Unit-Test)\n",
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"* [Pythonic-Code](#Pythonic-Code)"
]
},
{
"cell_type": "markdown",
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"## Constraints and Assumptions\n",
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"\n",
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"*Problem statements are often intentionally ambiguous. Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n",
"\n",
"* Are you looking for a naiive solution (ie not in-place)?\n",
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" * Yes"
]
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"## Test Cases\n",
"\n",
"* Empty input\n",
"* One element\n",
"* Two or more elements"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
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"Wikipedia's animation:\n",
"![alt text](http://upload.wikimedia.org/wikipedia/commons/6/6a/Sorting_quicksort_anim.gif)\n",
"\n",
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"* Set pivot to the middle element in the data\n",
"* For each element:\n",
" * If current element is the pivot, continue\n",
" * If the element is less than the pivot, add to left array\n",
" * Else, add to right array\n",
"* Recursively apply quicksort to the left array\n",
"* Recursively apply quicksort to the right array\n",
"* Merge the left array + pivot + right array\n",
"\n",
"Complexity:\n",
"* Time: O(n log(n)) average, best, O(n^2) worst\n",
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"* Space: O(n), n extra space, n recursion depth, generally not stable"
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]
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"source": [
"## Code"
]
},
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"cell_type": "code",
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"execution_count": 1,
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"def quick_sort(data):\n",
" if len(data) < 2:\n",
" return data\n",
" left = []\n",
" right = []\n",
" pivot_index = len(data) / 2\n",
" pivot_value = data[pivot_index]\n",
" for i in xrange(0, len(data)):\n",
" if i == pivot_index:\n",
" continue\n",
" if data[i] < pivot_value:\n",
" left.append(data[i])\n",
" else:\n",
" right.append(data[i])\n",
" left = quick_sort(left)\n",
" right = quick_sort(right)\n",
" return left + [pivot_value] + right"
]
},
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pythonic-Code\n",
"\n",
"From http://stackoverflow.com/questions/18262306/quick-sort-with-python"
]
},
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{
"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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"source": [
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"def quick_sort_alt(arr): \n",
" if len(arr) <= 1:\n",
" return arr\n",
" else:\n",
" return quick_sort_alt([x for x in arr[1:] if x<arr[0]]) + [arr[0]] + quick_sort_alt([x for x in arr[1:] if x>=arr[0]])"
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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"## Unit Test\n",
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"\n",
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"*It is important to identify and run through general and edge cases from the [Test Cases](#Test-Cases) section by hand. You generally will not be asked to write a unit test like what is shown below.*"
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]
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"cell_type": "code",
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"execution_count": 3,
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"collapsed": false
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"name": "stdout",
"output_type": "stream",
"text": [
"Empty input\n",
"One element\n",
"Two or more elements\n",
"Success: test_quick_sort\n",
"\n",
"Empty input\n",
"One element\n",
"Two or more elements\n",
"Success: test_quick_sort\n",
"\n"
]
}
],
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"source": [
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"from nose.tools import assert_equal\n",
"\n",
"class Test(object):\n",
" def test_quick_sort(self, func):\n",
" print('Empty input')\n",
" data = []\n",
" func(data)\n",
" assert_equal(data, [])\n",
"\n",
" print('One element')\n",
" data = [5]\n",
" func(data)\n",
" assert_equal(data, [5])\n",
"\n",
" print('Two or more elements')\n",
" data = [5, 1, 7, 2, 6, -3, 5, 7, -1]\n",
" data = func(data)\n",
" assert_equal(data, sorted(data))\n",
" \n",
" print('Success: test_quick_sort\\n')\n",
"\n",
"if __name__ == '__main__':\n",
" test = Test()\n",
" test.test_quick_sort(quick_sort)\n",
" test.test_quick_sort(quick_sort_alt)"
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]
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