mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
Revised constraints and algorithm. Added comment denoting key/value for each dictionary in the code section.
This commit is contained in:
parent
91dc014573
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9dc4116256
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@ -34,11 +34,9 @@
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"source": [
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"## Constraints\n",
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"\n",
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"* I plan to use a Node and Graph class. \n",
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" * Node will keep track of its id, visit state, and connections. \n",
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" * Connections will be a dictionary with the key = node id and value being the edge weight\n",
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" * Graph will hold all of the nodes and have functions to add nodes and edges. \n",
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" * Is this in line with what you have in mind?\n",
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"* Is the graph directed?\n",
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" * Yes\n",
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"* Do the edges have weights?\n",
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" * Yes"
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]
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},
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@ -33,11 +33,9 @@
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"source": [
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"## Constraints\n",
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"\n",
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"* I plan to use a Node and Graph class. \n",
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" * Node will keep track of its id, visit state, and connections. \n",
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" * Connections will be a dictionary with the key = node id and value being the edge weight\n",
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" * Graph will hold all of the nodes and have functions to add nodes and edges. \n",
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" * Is this in line with what you have in mind?\n",
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"* Is the graph directed?\n",
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" * Yes\n",
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"* Do the edges have weights?\n",
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" * Yes"
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]
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},
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@ -72,7 +70,23 @@
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"source": [
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"## Algorithm\n",
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"\n",
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"### add_node\n",
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"### Node\n",
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"\n",
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"Node will keep track of its:\n",
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"* id\n",
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"* visit state\n",
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"* connections\n",
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" * key: node\n",
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" * value: weight\n",
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"\n",
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"### Graph\n",
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"\n",
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"Graph will keep track of its:\n",
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"* Nodes\n",
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" * key: node id\n",
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" * value: node\n",
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"\n",
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"#### add_node\n",
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"\n",
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"* Create a node with the input id\n",
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"* Add the newly created node to the list of nodes\n",
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@ -81,7 +95,7 @@
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"* Time: O(1)\n",
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"* Space: O(1)\n",
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"\n",
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"### add_edge\n",
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"#### add_edge\n",
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"\n",
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"* If the source node is not in the list of nodes, add it\n",
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"* If the dest node is not in the list of nodes, add it\n",
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@ -122,13 +136,13 @@
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" def __init__(self, id):\n",
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" self.id = id\n",
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" self.state = State.unvisited\n",
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" self.connections = {}\n",
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" self.connections = {} # key = node, val = weight\n",
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"\n",
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"\n",
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"class Graph:\n",
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"\n",
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" def __init__(self):\n",
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" self.nodes = {}\n",
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" self.nodes = {} # key = node id, val = node\n",
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"\n",
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" def add_node(self, id):\n",
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" node = Node(id)\n",
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0
graphs_trees/templates/__init__.py
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0
graphs_trees/templates/__init__.py
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135
graphs_trees/templates/foo_challenge.ipynb
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135
graphs_trees/templates/foo_challenge.ipynb
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@ -0,0 +1,135 @@
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{
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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 [Author](https://github.com/). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).</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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"# 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: Implement foo(val), which returns val\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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"* Does foo do anything else?\n",
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" * 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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"## Test Cases\n",
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"\n",
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"* foo(val) -> val"
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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](). 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": false
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},
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"outputs": [],
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"source": [
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"def foo(val):\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_foo.py"
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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]() 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 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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167
graphs_trees/templates/foo_solution.ipynb
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167
graphs_trees/templates/foo_solution.ipynb
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{
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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 [Author](https://github.com/). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).</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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"# 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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"## Problem: Implement foo(val), which returns val\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)"
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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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"* Does foo do anything else?\n",
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" * 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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"## Test Cases\n",
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"\n",
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"* foo(val) -> val"
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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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"Return the input, val\n",
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" \n",
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"Complexity:\n",
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"* Time: O(1)\n",
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"* Space: O(1)"
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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": false
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},
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"outputs": [],
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"source": [
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"def foo(val):\n",
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" return val"
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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": "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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Overwriting test_foo.py\n"
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]
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}
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],
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"source": [
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"%%writefile test_foo.py\n",
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"from nose.tools import assert_equal\n",
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"\n",
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"\n",
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"class TestFoo(object):\n",
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"\n",
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" def test_foo(self):\n",
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" assert_equal(foo(None), None)\n",
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" assert_equal(foo(0), 0)\n",
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" assert_equal(foo('bar'), 'bar')\n",
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" print('Success: test_foo')\n",
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"\n",
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" \n",
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"def main():\n",
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" test = TestFoo()\n",
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" test.test_foo()\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": "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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Success: test_foo\n"
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]
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}
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],
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"source": [
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"%run -i test_foo.py"
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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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19
graphs_trees/templates/test_foo.py
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19
graphs_trees/templates/test_foo.py
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from nose.tools import assert_equal
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class TestFoo(object):
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def test_foo(self):
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assert_equal(foo(None), None)
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assert_equal(foo(0), 0)
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assert_equal(foo('bar'), 'bar')
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print('Success: test_foo')
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def main():
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test = TestFoo()
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test.test_foo()
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if __name__ == '__main__':
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main()
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