interactive-coding-challenges/sorting_searching/anagrams/anagrams_challenge.ipynb

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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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   "source": [
    "# Challenge Notebook"
   ]
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   "source": [
    "## Problem: Sort an array of strings so all anagrams are next to each other.\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",
    "* Are there any other sorting requirements other than the grouping of anagrams?\n",
    "    * No\n",
    "* Can we assume the inputs are valid?\n",
    "    * No\n",
    "* Can we assume this fits memory?\n",
    "    * Yes"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Cases\n",
    "\n",
    "* None -> Exception\n",
    "* [] -> []\n",
    "* General case\n",
    "    * Input: ['ram', 'act', 'arm', 'bat', 'cat', 'tab']\n",
    "    * Result: ['arm', 'ram', 'act', 'cat', 'bat', 'tab']"
   ]
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   "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"
   ]
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  {
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   "source": [
    "from collections import OrderedDict\n",
    "\n",
    "\n",
    "class Anagram(object):\n",
    "\n",
    "    def group_anagrams(self, items):\n",
    "        # TODO: Implement me\n",
    "        pass"
   ]
  },
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   "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.**"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "# %load test_anagrams.py\n",
    "from nose.tools import assert_equal, assert_raises\n",
    "\n",
    "\n",
    "class TestAnagrams(object):\n",
    "\n",
    "    def test_group_anagrams(self):\n",
    "        anagram = Anagram()\n",
    "        assert_raises(TypeError, anagram.group_anagrams, None)\n",
    "        data = ['ram', 'act', 'arm', 'bat', 'cat', 'tab']\n",
    "        expected = ['ram', 'arm', 'act', 'cat', 'bat', 'tab']\n",
    "        assert_equal(anagram.group_anagrams(data), expected)\n",
    "\n",
    "        print('Success: test_group_anagrams')\n",
    "\n",
    "\n",
    "def main():\n",
    "    test = TestAnagrams()\n",
    "    test.test_group_anagrams()\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solution Notebook\n",
    "\n",
    "Review the [Solution Notebook]() for a discussion on algorithms and code solutions."
   ]
  }
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