mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
204 lines
5.0 KiB
Python
204 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: Determine whether there is a path between two nodes in a graph.\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 the graph directed?\n",
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" * Yes\n",
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"* Can we assume we already have Graph and Node classes?\n",
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" * Yes\n",
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"* Can we assume this is a connected graph?\n",
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" * Yes\n",
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"* Can we assume the inputs are valid?\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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"Input:\n",
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"* `add_edge(source, destination, weight)`\n",
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"\n",
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"```\n",
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"graph.add_edge(0, 1, 5)\n",
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"graph.add_edge(0, 4, 3)\n",
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"graph.add_edge(0, 5, 2)\n",
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"graph.add_edge(1, 3, 5)\n",
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"graph.add_edge(1, 4, 4)\n",
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"graph.add_edge(2, 1, 6)\n",
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"graph.add_edge(3, 2, 7)\n",
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"graph.add_edge(3, 4, 8)\n",
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"```\n",
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"\n",
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"Result:\n",
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"* search_path(start=0, end=2) -> True\n",
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"* search_path(start=0, end=0) -> True\n",
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"* search_path(start=4, end=5) -> False"
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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/graph_path_exists/path_exists_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 ../graph/graph.py\n",
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"%load ../graph/graph.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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"outputs": [],
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"source": [
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"class GraphPathExists(Graph):\n",
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"\n",
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" def path_exists(self, start, end):\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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"outputs": [],
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"source": [
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"# %load test_path_exists.py\n",
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"import unittest\n",
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"\n",
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"\n",
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"class TestPathExists(unittest.TestCase):\n",
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"\n",
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" def test_path_exists(self):\n",
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" nodes = []\n",
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" graph = GraphPathExists()\n",
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" for id in range(0, 6):\n",
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" nodes.append(graph.add_node(id))\n",
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" graph.add_edge(0, 1, 5)\n",
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" graph.add_edge(0, 4, 3)\n",
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" graph.add_edge(0, 5, 2)\n",
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" graph.add_edge(1, 3, 5)\n",
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" graph.add_edge(1, 4, 4)\n",
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" graph.add_edge(2, 1, 6)\n",
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" graph.add_edge(3, 2, 7)\n",
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" graph.add_edge(3, 4, 8)\n",
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"\n",
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" self.assertEqual(graph.path_exists(nodes[0], nodes[2]), True)\n",
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" self.assertEqual(graph.path_exists(nodes[0], nodes[0]), True)\n",
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" self.assertEqual(graph.path_exists(nodes[4], nodes[5]), False)\n",
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"\n",
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" print('Success: test_path_exists')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestPathExists()\n",
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" test.test_path_exists()\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/graph_path_exists/path_exists_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": "3.7.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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