mirror of
https://github.com/donnemartin/interactive-coding-challenges
synced 2026-01-05 17:08:02 +00:00
Renamed HackerRank and TopCoder section to Online Judges.
This commit is contained in:
Donne Martin
0
online_judges/__init__.py
Normal file
0
online_judges/__init__.py
Normal file
0
online_judges/maximizing_xor/__init__.py
Normal file
0
online_judges/maximizing_xor/__init__.py
Normal file
148
online_judges/maximizing_xor/maximizing_xor_challenge.ipynb
Normal file
148
online_judges/maximizing_xor/maximizing_xor_challenge.ipynb
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@@ -0,0 +1,148 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/coding-challenges).</i></small>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Challenge Notebook"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Problem: Maximizing XOR\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor).\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",
|
||||
"*Problem statements are sometimes ambiguous. Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor)."
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Test Cases\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor)."
|
||||
]
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},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Algorithm\n",
|
||||
"\n",
|
||||
"Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/coding-challenges/blob/master/hackerrank_topcoder/utopian_tree/maximizing_xor_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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||||
{
|
||||
"cell_type": "markdown",
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||||
"metadata": {},
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||||
"source": [
|
||||
"## Code"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
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"source": [
|
||||
"def max_xor(lower, upper):\n",
|
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" # TODO: Implement me\n",
|
||||
" pass"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Unit Test\n",
|
||||
"\n",
|
||||
"**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_maximizing_xor.py\n",
|
||||
"from nose.tools import assert_equal\n",
|
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"\n",
|
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"\n",
|
||||
"class TestMaximingXor(object):\n",
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"\n",
|
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" def test_maximizing_xor(self):\n",
|
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" assert_equal(max_xor(10, 15), 7)\n",
|
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" print('Success: test_maximizing_xor')\n",
|
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"\n",
|
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"def main():\n",
|
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" test = TestMaximingXor()\n",
|
||||
" test.test_maximizing_xor()\n",
|
||||
"\n",
|
||||
"if __name__ == '__main__':\n",
|
||||
" main()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Solution Notebook\n",
|
||||
"\n",
|
||||
"Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/coding-challenges/blob/master/hackerrank_topcoder/utopian_tree/maximizing_xor_solution.ipynb) 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
|
||||
}
|
||||
177
online_judges/maximizing_xor/maximizing_xor_solution.ipynb
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177
online_judges/maximizing_xor/maximizing_xor_solution.ipynb
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@@ -0,0 +1,177 @@
|
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{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/coding-challenges).</i></small>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Solution Notebook"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Problem: Maximizing XOR\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor).\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",
|
||||
"*Problem statements are sometimes ambiguous. Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Test Cases\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Algorithm\n",
|
||||
"\n",
|
||||
"* Set max to 0\n",
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||||
"* For i in the range (lower, upper) inclusive\n",
|
||||
" * For j in the range (lower, upper) inclusive\n",
|
||||
" * Compare i ^ j with max, update max if needed\n",
|
||||
"* return max\n",
|
||||
"\n",
|
||||
"Complexity:\n",
|
||||
"* Time: O(n^2)\n",
|
||||
"* Space: O(1)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Code"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def max_xor(lower, upper):\n",
|
||||
" result = 0\n",
|
||||
" for l in xrange(lower, upper + 1):\n",
|
||||
" for u in xrange(lower, upper + 1):\n",
|
||||
" curr = l ^ u\n",
|
||||
" if result < curr:\n",
|
||||
" result = curr\n",
|
||||
" return result"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Unit Test\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Overwriting test_maximizing_xor.py\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%%writefile test_maximizing_xor.py\n",
|
||||
"from nose.tools import assert_equal\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"class TestMaximingXor(object):\n",
|
||||
"\n",
|
||||
" def test_maximizing_xor(self):\n",
|
||||
" assert_equal(max_xor(10, 15), 7)\n",
|
||||
" print('Success: test_maximizing_xor')\n",
|
||||
"\n",
|
||||
"def main():\n",
|
||||
" test = TestMaximingXor()\n",
|
||||
" test.test_maximizing_xor()\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_maximizing_xor\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%run -i test_maximizing_xor.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
|
||||
}
|
||||
15
online_judges/maximizing_xor/test_maximizing_xor.py
Normal file
15
online_judges/maximizing_xor/test_maximizing_xor.py
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@@ -0,0 +1,15 @@
|
||||
from nose.tools import assert_equal
|
||||
|
||||
|
||||
class TestMaximingXor(object):
|
||||
|
||||
def test_maximizing_xor(self):
|
||||
assert_equal(max_xor(10, 15), 7)
|
||||
print('Success: test_maximizing_xor')
|
||||
|
||||
def main():
|
||||
test = TestMaximingXor()
|
||||
test.test_maximizing_xor()
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
0
online_judges/utopian_tree/__init__.py
Normal file
0
online_judges/utopian_tree/__init__.py
Normal file
17
online_judges/utopian_tree/test_utopian_tree.py
Normal file
17
online_judges/utopian_tree/test_utopian_tree.py
Normal file
@@ -0,0 +1,17 @@
|
||||
from nose.tools import assert_equal
|
||||
|
||||
|
||||
class TestUtopianTree(object):
|
||||
|
||||
def test_utopian_tree(self):
|
||||
assert_equal(calc_utopian_tree_height(0), 1)
|
||||
assert_equal(calc_utopian_tree_height(1), 2)
|
||||
assert_equal(calc_utopian_tree_height(4), 7)
|
||||
print('Success: test_utopian_tree')
|
||||
|
||||
def main():
|
||||
test = TestUtopianTree()
|
||||
test.test_utopian_tree()
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
160
online_judges/utopian_tree/utopian_tree_challenge.ipynb
Normal file
160
online_judges/utopian_tree/utopian_tree_challenge.ipynb
Normal file
@@ -0,0 +1,160 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/coding-challenges).</i></small>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Challenge Notebook"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Problem: Utopian Tree\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree).\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",
|
||||
"*Problem statements are sometimes ambiguous. Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Test Cases\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Algorithm\n",
|
||||
"\n",
|
||||
"Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/coding-challenges/blob/master/hackerrank_topcoder/utopian_tree/utopian_tree_solution.ipynb). 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": 4,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# cycles = 0, print 1: base case\n",
|
||||
"# cycles = 1, print 2: i = 1: 1 * 2\n",
|
||||
"# cycles = 4, print 7: i = 1: 1 * 2, i = 2: 2 + 1, i = 3: 3 * 2, i = 4: 6 + 1\n",
|
||||
"def calc_utopian_tree_height(cycles):\n",
|
||||
" height = 1\n",
|
||||
" if cycles == 0:\n",
|
||||
" return height\n",
|
||||
" for i in xrange(1, cycles+1):\n",
|
||||
" if i % 2 == 1:\n",
|
||||
" height *= 2\n",
|
||||
" else:\n",
|
||||
" height += 1\n",
|
||||
" return height"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Unit Test\n",
|
||||
"\n",
|
||||
"**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_utopian_tree.py\n",
|
||||
"from nose.tools import assert_equal\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"class TestUtopianTree(object):\n",
|
||||
"\n",
|
||||
" def test_utopian_tree(self):\n",
|
||||
" assert_equal(calc_utopian_tree_height(0), 1)\n",
|
||||
" assert_equal(calc_utopian_tree_height(1), 2)\n",
|
||||
" assert_equal(calc_utopian_tree_height(4), 7)\n",
|
||||
" print('Success: test_utopian_tree')\n",
|
||||
"\n",
|
||||
"def main():\n",
|
||||
" test = TestUtopianTree()\n",
|
||||
" test.test_utopian_tree()\n",
|
||||
"\n",
|
||||
"if __name__ == '__main__':\n",
|
||||
" main()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Solution Notebook\n",
|
||||
"\n",
|
||||
"Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/coding-challenges/blob/master/hackerrank_topcoder/utopian_tree/utopian_tree_solution.ipynb) 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
|
||||
}
|
||||
184
online_judges/utopian_tree/utopian_tree_solution.ipynb
Normal file
184
online_judges/utopian_tree/utopian_tree_solution.ipynb
Normal file
@@ -0,0 +1,184 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/coding-challenges).</i></small>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Solution Notebook"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Problem: Utopian Tree\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree).\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",
|
||||
"*Problem statements are sometimes ambiguous. Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Test Cases\n",
|
||||
"\n",
|
||||
"See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree)."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Algorithm\n",
|
||||
"\n",
|
||||
"* If cycles is 0, return height of 1\n",
|
||||
"* For 1 to cycles:\n",
|
||||
" * If cycle is odd, double height\n",
|
||||
" * Else, increment height\n",
|
||||
"* Return height\n",
|
||||
"\n",
|
||||
"Complexity:\n",
|
||||
"* Time: O(n), where n is the number of cycles, for each cycle we perform a calculation\n",
|
||||
"* Space: O(1)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Code"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# cycles = 0, print 1: base case\n",
|
||||
"# cycles = 1, print 2: i = 1: 1 * 2\n",
|
||||
"# cycles = 4, print 7: i = 1: 1 * 2, i = 2: 2 + 1, i = 3: 3 * 2, i = 4: 6 + 1\n",
|
||||
"def calc_utopian_tree_height(cycles):\n",
|
||||
" height = 1\n",
|
||||
" if cycles == 0:\n",
|
||||
" return height\n",
|
||||
" for i in xrange(1, cycles+1):\n",
|
||||
" if i % 2 == 1:\n",
|
||||
" height *= 2\n",
|
||||
" else:\n",
|
||||
" height += 1\n",
|
||||
" return height"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Unit Test\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Overwriting test_utopian_tree.py\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%%writefile test_utopian_tree.py\n",
|
||||
"from nose.tools import assert_equal\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"class TestUtopianTree(object):\n",
|
||||
"\n",
|
||||
" def test_utopian_tree(self):\n",
|
||||
" assert_equal(calc_utopian_tree_height(0), 1)\n",
|
||||
" assert_equal(calc_utopian_tree_height(1), 2)\n",
|
||||
" assert_equal(calc_utopian_tree_height(4), 7)\n",
|
||||
" print('Success: test_utopian_tree')\n",
|
||||
"\n",
|
||||
"def main():\n",
|
||||
" test = TestUtopianTree()\n",
|
||||
" test.test_utopian_tree()\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_utopian_tree\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"run -i test_utopian_tree.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
|
||||
}
|
||||
Reference in New Issue
Block a user