interactive-coding-challenges/hackerrank_topcoder/utopian_tree/utopian_tree_challenge.ipynb

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   "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>"
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   "source": [
    "# Challenge Notebook"
   ]
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   "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)"
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   "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)."
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Cases\n",
    "\n",
    "See the [HackerRank problem page](https://www.hackerrank.com/challenges/utopian-tree)."
   ]
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   "cell_type": "markdown",
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   "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."
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   "source": [
    "## Code"
   ]
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   "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"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unit Test\n",
    "\n",
    "**The following unit test is expected to fail until you solve the challenge.**"
   ]
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   "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."
   ]
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