mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
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206 lines
5.2 KiB
Plaintext
206 lines
5.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<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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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Problem: Implement selection sort.\n",
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"\n",
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"* [Constraints and Assumptions](#Constraints-and-Assumptions)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* [Algorithm](#Algorithm)\n",
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"* [Code](#Code)\n",
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"* [Unit Test](#Unit-Test)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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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",
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"\n",
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"* Are you looking for a naiive solution (ie not stable, not based on a heap)?\n",
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" * Yes"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Test Cases\n",
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"\n",
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"* Empty input\n",
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"* One element\n",
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"* Two or more elements"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Algorithm\n",
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"\n",
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"Wikipedia's animation:\n",
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"![alt text](http://upload.wikimedia.org/wikipedia/commons/9/94/Selection-Sort-Animation.gif)\n",
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"\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",
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"\n",
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"* For each element\n",
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" * Check every element to the right to find the min\n",
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" * If min < current element, swap\n",
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"\n",
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"Complexity:\n",
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"* 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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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Code"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def find_min_index(data, start):\n",
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" min_index = start\n",
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" for i in xrange(start + 1, len(data)):\n",
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" if data[i] < data[min_index]:\n",
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" min_index = i\n",
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" return min_index\n",
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"\n",
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"def swap(data, i, j):\n",
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" if (i != j):\n",
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" data[i], data[j] = data[j], data[i]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"def selection_sort_recursive(data, start=0):\n",
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" if start < len(data) - 1:\n",
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" swap(data, start, find_min_index(data, start))\n",
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" selection_sort_recursive(data, start+1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"def selection_sort_iterative(data):\n",
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" if len(data) == 0 or len(data) == 1:\n",
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" return\n",
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" for i in xrange(0, len(data) - 1):\n",
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" swap(data, i, find_min_index(data, i))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"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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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Empty input\n",
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"One element\n",
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"Two or more elements\n",
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"Success: test_selection_sort\n",
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"\n",
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"Empty input\n",
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"One element\n",
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"Two or more elements\n",
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"Success: test_selection_sort\n",
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"\n"
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]
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}
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],
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"source": [
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"from nose.tools import assert_equal\n",
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"\n",
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"class Test(object):\n",
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" def test_selection_sort(self, func):\n",
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" print('Empty input')\n",
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" data = []\n",
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" func(data)\n",
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" assert_equal(data, [])\n",
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"\n",
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" print('One element')\n",
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" data = [5]\n",
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" func(data)\n",
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" assert_equal(data, [5])\n",
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"\n",
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" print('Two or more elements')\n",
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" data = [5, 1, 7, 2, 6, -3, 5, 7, -1]\n",
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" func(data)\n",
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" assert_equal(data, sorted(data))\n",
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" \n",
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" print('Success: test_selection_sort\\n')\n",
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"\n",
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"if __name__ == '__main__':\n",
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" test = Test()\n",
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" test.test_selection_sort(selection_sort_recursive)\n",
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" test.test_selection_sort(selection_sort_iterative)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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