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Add merge into challenge
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0
sorting_searching/merge_into/__init__.py
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0
sorting_searching/merge_into/__init__.py
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178
sorting_searching/merge_into/merge_into_challenge.ipynb
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178
sorting_searching/merge_into/merge_into_challenge.ipynb
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@ -0,0 +1,178 @@
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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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"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: Given sorted arrays A, B, merge B into A in sorted order.\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 A have enough space for B?\n",
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" * Yes\n",
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"* Can the inputs have duplicate array items?\n",
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" * Yes\n",
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"* Can we assume the inputs are valid?\n",
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" * No\n",
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"* Does the inputs also include the actual size of A and B?\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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"* A or B is None -> Exception\n",
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"* index of last A or B < 0 -> Exception\n",
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"* A or B is empty\n",
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"* General case\n",
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" * A = [1, 3, 5, 7, 9, None, None, None]\n",
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" * B = [4, 5, 6]\n",
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" * A = [1, 3, 4, 5, 5, 6, 7, 9]"
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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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"class Array(object):\n",
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"\n",
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" def merge_into(self, source, dest, source_end_index, dest_end_index):\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_merge_into.py\n",
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"from nose.tools import assert_equal, assert_raises\n",
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"\n",
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"\n",
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"class TestArray(object):\n",
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"\n",
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" def test_merge_into(self):\n",
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" array = Array()\n",
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" assert_raises(TypeError, array.merge_into, None, None, None, None)\n",
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" assert_raises(ValueError, array.merge_into, [1], [2], -1, -1)\n",
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" a = [1, 2, 3]\n",
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" assert_equal(array.merge_into(a, [], len(a), 0), [1, 2, 3])\n",
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" a = [1, 2, 3]\n",
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" assert_equal(array.merge_into(a, [], len(a), 0), [1, 2, 3])\n",
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" a = [1, 3, 5, 7, 9, None, None, None]\n",
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" b = [4, 5, 6]\n",
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" expected = [1, 3, 4, 5, 5, 6, 7, 9]\n",
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" assert_equal(array.merge_into(a, b, 5, len(b)), expected)\n",
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" print('Success: test_merge_into')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestArray()\n",
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" test.test_merge_into()\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]() 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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276
sorting_searching/merge_into/merge_into_solution.ipynb
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276
sorting_searching/merge_into/merge_into_solution.ipynb
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@ -0,0 +1,276 @@
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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": [
|
||||
"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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"# 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: Given sorted arrays A, B, merge B into A in sorted order.\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 A have enough space for B?\n",
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" * Yes\n",
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"* Can the inputs have duplicate array items?\n",
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" * Yes\n",
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"* Can we assume the inputs are valid?\n",
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" * No\n",
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"* Does the inputs also include the actual size of A and B?\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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"* A or B is None -> Exception\n",
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"* index of last A or B < 0 -> Exception\n",
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"* A or B is empty\n",
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"* General case\n",
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" * A = [1, 3, 5, 7, 9, None, None, None]\n",
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" * B = [4, 5, 6]\n",
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" * A = [1, 3, 4, 5, 5, 6, 7, 9]"
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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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"<pre>\n",
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" i k\n",
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"A = [1, 3, 5, 7, 9, None, None, None]\n",
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" j\n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" i k\n",
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"A = [1, 3, 5, 7, 9, None, None, 9]\n",
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" j\n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" i k \n",
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"A = [1, 3, 5, 7, 9, None, 7, 9]\n",
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" j\n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" i k \n",
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"A = [1, 3, 5, 7, 9, 6, 7, 9]\n",
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" j\n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" i k \n",
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"A = [1, 3, 5, 7, 5, 6, 7, 9]\n",
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" j \n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" i k \n",
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"A = [1, 3, 5, 5, 5, 6, 7, 9]\n",
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" j \n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" i k \n",
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"A = [1, 3, 4, 5, 5, 6, 7, 9]\n",
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" j \n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A[k] = max(A[i], B[j])\n",
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" ik \n",
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"A = [1, 3, 4, 5, 5, 6, 7, 9]\n",
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" \n",
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"B = [4, 5, 6]\n",
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"\n",
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"---\n",
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"\n",
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"A = [1, 3, 4, 5, 5, 6, 7, 9]\n",
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"\n",
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"</pre>\n",
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"\n",
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"Complexity:\n",
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"* Time: O(m + n)\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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"class Array(object):\n",
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"\n",
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" def merge_into(self, source, dest, source_end_index, dest_end_index):\n",
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" if source is None or dest is None:\n",
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" raise TypeError('source or dest cannot be None')\n",
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" if source_end_index < 0 or dest_end_index < 0:\n",
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" raise ValueError('end indices must be >= 0')\n",
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" if not source:\n",
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" return dest\n",
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" if not dest:\n",
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" return source\n",
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" source_index = source_end_index - 1\n",
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" dest_index = dest_end_index - 1\n",
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" insert_index = source_end_index + dest_end_index - 1\n",
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" while dest_index >= 0:\n",
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" if source[source_index] > dest[dest_index]:\n",
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" source[insert_index] = source[source_index]\n",
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" source_index -= 1\n",
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" else:\n",
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" source[insert_index] = dest[dest_index]\n",
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" dest_index -= 1\n",
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" insert_index -= 1\n",
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" return source"
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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_merge_into.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_merge_into.py\n",
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"from nose.tools import assert_equal, assert_raises\n",
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"\n",
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"\n",
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"class TestArray(object):\n",
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"\n",
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" def test_merge_into(self):\n",
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" array = Array()\n",
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" assert_raises(TypeError, array.merge_into, None, None, None, None)\n",
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" assert_raises(ValueError, array.merge_into, [1], [2], -1, -1)\n",
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" a = [1, 2, 3]\n",
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" assert_equal(array.merge_into(a, [], len(a), 0), [1, 2, 3])\n",
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" a = [1, 2, 3]\n",
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" assert_equal(array.merge_into(a, [], len(a), 0), [1, 2, 3])\n",
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" a = [1, 3, 5, 7, 9, None, None, None]\n",
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" b = [4, 5, 6]\n",
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" expected = [1, 3, 4, 5, 5, 6, 7, 9]\n",
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" assert_equal(array.merge_into(a, b, 5, len(b)), expected)\n",
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" print('Success: test_merge_into')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestArray()\n",
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" test.test_merge_into()\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_merge_into\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_merge_into.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 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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27
sorting_searching/merge_into/test_merge_into.py
Normal file
27
sorting_searching/merge_into/test_merge_into.py
Normal file
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@ -0,0 +1,27 @@
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from nose.tools import assert_equal, assert_raises
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class TestArray(object):
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def test_merge_into(self):
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array = Array()
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assert_raises(TypeError, array.merge_into, None, None, None, None)
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assert_raises(ValueError, array.merge_into, [1], [2], -1, -1)
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a = [1, 2, 3]
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assert_equal(array.merge_into(a, [], len(a), 0), [1, 2, 3])
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a = [1, 2, 3]
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assert_equal(array.merge_into(a, [], len(a), 0), [1, 2, 3])
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a = [1, 3, 5, 7, 9, None, None, None]
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b = [4, 5, 6]
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expected = [1, 3, 4, 5, 5, 6, 7, 9]
|
||||
assert_equal(array.merge_into(a, b, 5, len(b)), expected)
|
||||
print('Success: test_merge_into')
|
||||
|
||||
|
||||
def main():
|
||||
test = TestArray()
|
||||
test.test_merge_into()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
Loading…
Reference in New Issue
Block a user