interactive-coding-challenges/graphs_trees/bst_min/bst_min_challenge.ipynb

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   "source": [
    "<small><i>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).</i></small>"
   ]
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   "metadata": {},
   "source": [
    "# Challenge Notebook"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "## Problem: Create a binary search tree with minimal height from a sorted array.\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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   "source": [
    "## Constraints\n",
    "\n",
    "* Is the array in increasing order?\n",
    "    * Yes\n",
    "* Are the array elements unique?\n",
    "    * Yes\n",
    "* Can we assume we already have a Node class with an insert method?\n",
    "    * Yes"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Cases\n",
    "\n",
    "* 0, 1, 2, 3, 4, 5, 6 -> height 3\n",
    "* 0, 1, 2, 3, 4, 5, 6, 7 -> height 4"
   ]
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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/interactive-coding-challenges/blob/master/graphs_trees/bst_min/bst_min_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",
   "metadata": {},
   "source": [
    "## Code"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "%run ../bst/bst.py\n",
    "%load ../bst/bst.py"
   ]
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "def create_min_bst(array):\n",
    "    # TODO: Implement me\n",
    "    # Calls __create_min_bst__\n",
    "    pass    \n",
    "\n",
    "\n",
    "def __create_min_bst__(array, start, end):\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": true
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   "outputs": [],
   "source": [
    "%run ../tree_height/height.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# %load test_bst_min.py\n",
    "from nose.tools import assert_equal\n",
    "\n",
    "\n",
    "class TestBstMin(object):\n",
    "\n",
    "    def test_bst_min(self):\n",
    "        array = [0, 1, 2, 3, 4, 5, 6]\n",
    "        root = create_min_bst(array)\n",
    "        assert_equal(height(root), 3)\n",
    "\n",
    "        array = [0, 1, 2, 3, 4, 5, 6, 7]\n",
    "        root = create_min_bst(array)\n",
    "        assert_equal(height(root), 4)\n",
    "\n",
    "        print('Success: test_bst_min')\n",
    "\n",
    "\n",
    "def main():\n",
    "    test = TestBstMin()\n",
    "    test.test_bst_min()\n",
    "\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/interactive-coding-challenges/blob/master/graphs_trees/bst_min/bst_min_solution.ipynb) for a discussion on algorithms and code solutions."
   ]
  }
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