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"## Problem: Implement selection sort.\n",
"\n",
"* [Clarifying Questions](#Clarifying-Questions)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
"* [Pythonic-Code](#Pythonic-Code)"
]
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"## Clarifying Questions\n",
"\n",
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"* Are you looking for a generic naiive selection sort (ie not stable)?\n",
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" * Yes"
]
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"## Test Cases\n",
"\n",
"* Empty input\n",
"* One element\n",
"* Two or more elements"
]
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"## Algorithm\n",
"\n",
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"Wikipedia's animation:\n",
"![alt text](http://upload.wikimedia.org/wikipedia/commons/9/94/Selection-Sort-Animation.gif)\n",
"\n",
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"We can do this recursively or iteratively. Iteratively will be more efficient as it doesn't require the extra space overhead with the recursive calls.\n",
"\n",
"* For each element\n",
" * Check every element to the right to find the min\n",
" * If min < current element, swap\n",
"\n",
"Complexity:\n",
"* Time: O(n^2) average, worst, best\n",
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"* Space: O(1) iterative, O(n) recursive (unless tail-call elimination is available, then O(1)), generally not stable"
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"## Code"
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"def find_min_index(data, start):\n",
" min_index = start\n",
" for i in xrange(start + 1, len(data)):\n",
" if data[i] < data[min_index]:\n",
" min_index = i\n",
" return min_index\n",
"\n",
"def swap(data, i, j):\n",
" if (i != j):\n",
" data[i], data[j] = data[j], data[i]"
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"def selection_sort_recursive(data, start):\n",
" if start < len(data) - 1:\n",
" swap(data, start, find_min_index(data, start))\n",
" selection_sort_recursive(data, start+1)\n",
"\n",
"print('Empty input')\n",
"data = []\n",
"selection_sort_recursive(data, 0)\n",
"print(data)\n",
"print('One element')\n",
"data = [5]\n",
"selection_sort_recursive(data, 0)\n",
"print(data)\n",
"print('Two or more elements')\n",
"data = [5, 1, 7, 2, 6, -3, 5, 7, -1]\n",
"selection_sort_recursive(data, 0)\n",
"print(data)"
]
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"source": [
"def selection_sort_iterative(data):\n",
" if len(data) == 0 or len(data) == 1:\n",
" return\n",
" for i in xrange(0, len(data) - 1):\n",
" swap(data, i, find_min_index(data, i))"
]
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