mirror of
https://github.com/donnemartin/interactive-coding-challenges
synced 2026-01-05 17:08:02 +00:00
212 lines
5.2 KiB
Python
212 lines
5.2 KiB
Python
{
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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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"This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
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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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"# Challenge Notebook"
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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: Find the in-order successor of a given node in a binary search tree.\n",
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"\n",
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"* [Constraints](#Constraints)\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)\n",
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"* [Solution Notebook](#Solution-Notebook)"
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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\n",
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"\n",
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"* If there is no successor, do we return None?\n",
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" * Yes\n",
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"* If the input is None, should we throw an exception?\n",
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" * Yes\n",
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"* Can we assume we already have a Node class that keeps track of parents?\n",
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" * Yes\n",
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"* Can we assume this fits memory?\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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"<pre>\n",
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" _5_\n",
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" / \\\n",
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" 3 8\n",
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" / \\ / \\\n",
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" 2 4 6 12\n",
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" / \\ / \\\n",
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" 1 7 10 15\n",
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" /\n",
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" 9\n",
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"\n",
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"In: None Out: Exception\n",
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"In: 4 Out: 5\n",
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"In: 5 Out: 6\n",
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"In: 8 Out: 9\n",
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"In: 15 Out: None\n",
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"</pre>"
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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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"Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/bst_successor/bst_successor_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start."
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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": null,
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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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"%run ../bst/bst.py\n",
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"%load ../bst/bst.py"
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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": null,
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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 bst_successor(node):\n",
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" # TODO: Implement me\n",
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" pass"
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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"
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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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"**The following unit test is expected to fail until you solve the challenge.**"
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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": null,
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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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"# %load test_bst_successor.py\n",
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"from nose.tools import assert_equal\n",
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"from nose.tools import raises\n",
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"\n",
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"\n",
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"class TestBstSuccessor(object):\n",
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"\n",
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" @raises(Exception)\n",
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" def test_bst_successor_empty(self):\n",
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" bst_successor(None)\n",
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"\n",
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" def test_bst_successor(self):\n",
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" nodes = {}\n",
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" node = Node(5)\n",
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" nodes[5] = node\n",
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" nodes[3] = insert(node, 3)\n",
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" nodes[8] = insert(node, 8)\n",
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" nodes[2] = insert(node, 2)\n",
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" nodes[4] = insert(node, 4)\n",
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" nodes[6] = insert(node, 6)\n",
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" nodes[12] = insert(node, 12)\n",
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" nodes[1] = insert(node, 1)\n",
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" nodes[7] = insert(node, 7)\n",
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" nodes[10] = insert(node, 10)\n",
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" nodes[15] = insert(node, 15)\n",
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" nodes[9] = insert(node, 9)\n",
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"\n",
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" assert_equal(bst_successor(nodes[4]), 5)\n",
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" assert_equal(bst_successor(nodes[5]), 6)\n",
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" assert_equal(bst_successor(nodes[8]), 9)\n",
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" assert_equal(bst_successor(nodes[15]), None)\n",
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"\n",
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" print('Success: test_bst_successor')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestBstSuccessor()\n",
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" test.test_bst_successor()\n",
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" test.test_bst_successor_empty()\n",
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"\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()"
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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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"## Solution Notebook\n",
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"\n",
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"Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/bst_successor/bst_successor_solution.ipynb) for a discussion on algorithms and code solutions."
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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 3",
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"language": "python",
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"name": "python3"
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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": 3
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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": "ipython3",
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"version": "3.5.0"
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}
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"nbformat": 4,
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"nbformat_minor": 0
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