mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
207 lines
5.0 KiB
Python
207 lines
5.0 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: Check if a binary tree is balanced.\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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"* Is a balanced tree one where the heights of two sub trees of any node doesn't differ by more than 1?\n",
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" * Yes\n",
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"* If this is called on a None input, should we raise an exception?\n",
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" * Yes\n",
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"* Can we assume we already have a Node class with an insert method?\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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"* None -> No\n",
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"* 1 -> Yes\n",
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"* 5, 3, 8, 1, 4 -> Yes\n",
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"* 5, 3, 8, 9, 10 -> No"
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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/check_balance/check_balance_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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"class BstBalance(Bst):\n",
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"\n",
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" def check_balance(self):\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_check_balance.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 TestCheckBalance(object):\n",
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"\n",
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" @raises(Exception)\n",
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" def test_check_balance_empty(self):\n",
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" bst = BstBalance(None)\n",
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" bst.check_balance()\n",
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"\n",
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" def test_check_balance(self):\n",
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" bst = BstBalance(Node(5))\n",
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" assert_equal(bst.check_balance(), True)\n",
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"\n",
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" bst.insert(3)\n",
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" bst.insert(8)\n",
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" bst.insert(1)\n",
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" bst.insert(4)\n",
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" assert_equal(bst.check_balance(), True)\n",
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"\n",
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" bst = BstBalance(Node(5))\n",
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" bst.insert(3)\n",
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" bst.insert(8)\n",
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" bst.insert(9)\n",
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" bst.insert(10)\n",
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" assert_equal(bst.check_balance(), False)\n",
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"\n",
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" bst = BstBalance(Node(3))\n",
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" bst.insert(2)\n",
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" bst.insert(1)\n",
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" bst.insert(5)\n",
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" bst.insert(4)\n",
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" bst.insert(6)\n",
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" bst.insert(7)\n",
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" assert_equal(bst.check_balance(), True)\n",
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"\n",
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" print('Success: test_check_balance')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestCheckBalance()\n",
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" test.test_check_balance_empty()\n",
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" test.test_check_balance()\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/check_balance/check_balance_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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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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