interactive-coding-challenges/graphs_trees/graph_dfs/dfs_solution.ipynb

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2015-08-05 08:01:59 +08:00
{
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{
"cell_type": "markdown",
"metadata": {},
"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>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Solution Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Implement depth-first search on a graph.\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",
"* Is the graph directed?\n",
" * Yes\n",
"* Can we assume we already have Graph and Node classes?\n",
" * Yes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"Input:\n",
"* `add_edge(source, destination, weight)`\n",
"\n",
"```\n",
"graph.add_edge(0, 1, 5)\n",
"graph.add_edge(0, 4, 3)\n",
"graph.add_edge(0, 5, 2)\n",
"graph.add_edge(1, 3, 5)\n",
"graph.add_edge(1, 4, 4)\n",
"graph.add_edge(2, 1, 6)\n",
"graph.add_edge(3, 2, 7)\n",
"graph.add_edge(3, 4, 8)\n",
"```\n",
"\n",
"Result:\n",
"* Order of nodes visited: [0, 1, 3, 2, 4, 5]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"If we want to visit every node in a graph, we generally prefer depth-first search since it is simpler (no need to use a queue). For shortest path, we generally use breadth-first search.\n",
"\n",
"* Visit the current node and mark it visited\n",
"* Iterate through each adjacent node\n",
" * If the node has not been visited, call dfs on it\n",
"\n",
"Complexity:\n",
"* Time: O(V + E), where V = number of vertices and E = number of edges\n",
"* Space: O(V + E)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%run ../graph/graph.py"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def dfs(root, visit_func):\n",
" if root is None:\n",
" return\n",
" visit_func(root)\n",
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" root.visit_state = State.visited\n",
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" for node in root.adjacent:\n",
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" if node.visit_state == State.unvisited:\n",
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" dfs(node, visit_func)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%run ../utils/results.py"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting test_dfs.py\n"
]
}
],
"source": [
"%%writefile test_dfs.py\n",
"from nose.tools import assert_equal\n",
"\n",
"\n",
"class TestDfs(object):\n",
"\n",
" def __init__(self):\n",
" self.results = Results()\n",
"\n",
" def test_dfs(self):\n",
" nodes = []\n",
" graph = Graph()\n",
" for id in range(0, 6):\n",
" nodes.append(graph.add_node(id))\n",
" graph.add_edge(0, 1, 5)\n",
" graph.add_edge(0, 4, 3)\n",
" graph.add_edge(0, 5, 2)\n",
" graph.add_edge(1, 3, 5)\n",
" graph.add_edge(1, 4, 4)\n",
" graph.add_edge(2, 1, 6)\n",
" graph.add_edge(3, 2, 7)\n",
" graph.add_edge(3, 4, 8)\n",
" dfs(nodes[0], self.results.add_result)\n",
" assert_equal(str(self.results), \"[0, 1, 3, 2, 4, 5]\")\n",
"\n",
" print('Success: test_dfs')\n",
"\n",
"\n",
"def main():\n",
" test = TestDfs()\n",
" test.test_dfs()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Success: test_dfs\n"
]
}
],
"source": [
"%run -i test_dfs.py"
]
}
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