Revised constraints and algorithm. Added comment denoting key/value for each dictionary in the code section.

This commit is contained in:
Donne Martin 2015-08-04 08:09:16 -04:00
parent 91dc014573
commit 9dc4116256
6 changed files with 349 additions and 16 deletions

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@ -34,11 +34,9 @@
"source": [
"## Constraints\n",
"\n",
"* I plan to use a Node and Graph class. \n",
" * Node will keep track of its id, visit state, and connections. \n",
" * Connections will be a dictionary with the key = node id and value being the edge weight\n",
" * Graph will hold all of the nodes and have functions to add nodes and edges. \n",
" * Is this in line with what you have in mind?\n",
"* Is the graph directed?\n",
" * Yes\n",
"* Do the edges have weights?\n",
" * Yes"
]
},

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@ -33,11 +33,9 @@
"source": [
"## Constraints\n",
"\n",
"* I plan to use a Node and Graph class. \n",
" * Node will keep track of its id, visit state, and connections. \n",
" * Connections will be a dictionary with the key = node id and value being the edge weight\n",
" * Graph will hold all of the nodes and have functions to add nodes and edges. \n",
" * Is this in line with what you have in mind?\n",
"* Is the graph directed?\n",
" * Yes\n",
"* Do the edges have weights?\n",
" * Yes"
]
},
@ -72,7 +70,23 @@
"source": [
"## Algorithm\n",
"\n",
"### add_node\n",
"### Node\n",
"\n",
"Node will keep track of its:\n",
"* id\n",
"* visit state\n",
"* connections\n",
" * key: node\n",
" * value: weight\n",
"\n",
"### Graph\n",
"\n",
"Graph will keep track of its:\n",
"* Nodes\n",
" * key: node id\n",
" * value: node\n",
"\n",
"#### add_node\n",
"\n",
"* Create a node with the input id\n",
"* Add the newly created node to the list of nodes\n",
@ -81,7 +95,7 @@
"* Time: O(1)\n",
"* Space: O(1)\n",
"\n",
"### add_edge\n",
"#### add_edge\n",
"\n",
"* If the source node is not in the list of nodes, add it\n",
"* If the dest node is not in the list of nodes, add it\n",
@ -122,13 +136,13 @@
" def __init__(self, id):\n",
" self.id = id\n",
" self.state = State.unvisited\n",
" self.connections = {}\n",
" self.connections = {} # key = node, val = weight\n",
"\n",
"\n",
"class Graph:\n",
"\n",
" def __init__(self):\n",
" self.nodes = {}\n",
" self.nodes = {} # key = node id, val = node\n",
"\n",
" def add_node(self, id):\n",
" node = Node(id)\n",

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@ -0,0 +1,135 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<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>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Challenge Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Implement foo(val), which returns val\n",
"\n",
"* [Constraints](#Constraints)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
"* [Unit Test](#Unit-Test)\n",
"* [Solution Notebook](#Solution-Notebook)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints\n",
"\n",
"* Does foo do anything else?\n",
" * No"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"* foo(val) -> val"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"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."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def foo(val):\n",
" # TODO: Implement me\n",
" pass"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**The following unit test is expected to fail until you solve the challenge.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%load test_foo.py"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Solution Notebook\n",
"\n",
"Review the [Solution Notebook]() for a discussion on algorithms and code solutions."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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@ -0,0 +1,167 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<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>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Solution Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Implement foo(val), which returns val\n",
"\n",
"* [Constraints](#Constraints)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
"* [Unit Test](#Unit-Test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints\n",
"\n",
"* Does foo do anything else?\n",
" * No"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"* foo(val) -> val"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"Return the input, val\n",
" \n",
"Complexity:\n",
"* Time: O(1)\n",
"* Space: O(1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def foo(val):\n",
" return val"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting test_foo.py\n"
]
}
],
"source": [
"%%writefile test_foo.py\n",
"from nose.tools import assert_equal\n",
"\n",
"\n",
"class TestFoo(object):\n",
"\n",
" def test_foo(self):\n",
" assert_equal(foo(None), None)\n",
" assert_equal(foo(0), 0)\n",
" assert_equal(foo('bar'), 'bar')\n",
" print('Success: test_foo')\n",
"\n",
" \n",
"def main():\n",
" test = TestFoo()\n",
" test.test_foo()\n",
"\n",
" \n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Success: test_foo\n"
]
}
],
"source": [
"%run -i test_foo.py"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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@ -0,0 +1,19 @@
from nose.tools import assert_equal
class TestFoo(object):
def test_foo(self):
assert_equal(foo(None), None)
assert_equal(foo(0), 0)
assert_equal(foo('bar'), 'bar')
print('Success: test_foo')
def main():
test = TestFoo()
test.test_foo()
if __name__ == '__main__':
main()