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Rework graph challenge and solution (#86)

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Donne Martin
2016-06-26 17:48:32 -04:00
committed by GitHub
parent 70e8fdd7a3
commit 5093103324
4 changed files with 166 additions and 73 deletions
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73
graphs_trees/graph/graph_challenge.ipynb
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@@ -35,8 +35,10 @@
"## Constraints\n",
"\n",
"* Is the graph directed?\n",
" * Yes\n",
" * Implement both\n",
"* Do the edges have weights?\n",
" * Yes\n",
"* Can we assume the inputs are valid?\n",
" * Yes"
]
},
@@ -65,8 +67,7 @@
"* `source` and `destination` nodes within `graph` are connected with specified `weight`.\n",
"\n",
"Note: \n",
"* We'll be using an OrderedDict to make the outputs more consistent and simplify our testing.\n",
"* Graph will be used as a building block for more complex graph challenges."
"* The Graph class will be used as a building block for more complex graph challenges."
]
},
{
@@ -93,24 +94,24 @@
},
"outputs": [],
"source": [
"from collections import OrderedDict\n",
"\n",
"\n",
"class Node:\n",
"\n",
" def __init__(self, id):\n",
" # TODO: Implement me\n",
" self.adjacent = OrderedDict() # key = node, val = weight\n",
" self.adjacent = {} # key = node, val = weight\n",
"\n",
" def __str__(self):\n",
" return str(self.id)\n",
"\n",
" def add_neighbor(self, neighbor, weight=0):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
"class Graph:\n",
"\n",
" def __init__(self):\n",
" # TODO: Implement me\n",
" self.nodes = OrderedDict() # key = node id, val = node\n",
" self.nodes = {} # key = node id, val = node\n",
"\n",
" def add_node(self, id):\n",
" # TODO: Implement me\n",
@@ -118,6 +119,10 @@
"\n",
" def add_edge(self, source, dest, weight=0):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
" def add_undirected_edge(self, source, dest, weight=0):\n",
" # TODO: Implement me\n",
" pass"
]
},
@@ -149,19 +154,24 @@
"\n",
"class TestGraph(object):\n",
"\n",
" def test_graph(self):\n",
" def create_graph(self):\n",
" graph = Graph()\n",
" for id in range(0, 6):\n",
" graph.add_node(id)\n",
" graph.add_edge(0, 1, 5)\n",
" graph.add_edge(0, 5, 2)\n",
" graph.add_edge(1, 2, 3)\n",
" graph.add_edge(2, 3, 4)\n",
" graph.add_edge(3, 4, 5)\n",
" graph.add_edge(3, 5, 6)\n",
" graph.add_edge(4, 0, 7)\n",
" graph.add_edge(5, 4, 8)\n",
" graph.add_edge(5, 2, 9)\n",
" return graph\n",
"\n",
" def test_graph(self):\n",
" graph = self.create_graph()\n",
"\n",
" graph.add_edge(0, 1, weight=5)\n",
" graph.add_edge(0, 5, weight=2)\n",
" graph.add_edge(1, 2, weight=3)\n",
" graph.add_edge(2, 3, weight=4)\n",
" graph.add_edge(3, 4, weight=5)\n",
" graph.add_edge(3, 5, weight=6)\n",
" graph.add_edge(4, 0, weight=7)\n",
" graph.add_edge(5, 4, weight=8)\n",
" graph.add_edge(5, 2, weight=9)\n",
"\n",
" assert_equal(graph.nodes[0].adjacent[graph.nodes[1]], 5)\n",
" assert_equal(graph.nodes[0].adjacent[graph.nodes[5]], 2)\n",
@@ -175,10 +185,27 @@
"\n",
" print('Success: test_graph')\n",
"\n",
" def test_graph_undirected(self):\n",
" graph = self.create_graph()\n",
"\n",
" graph.add_undirected_edge(0, 1, weight=5)\n",
" graph.add_undirected_edge(0, 5, weight=2)\n",
" graph.add_undirected_edge(1, 2, weight=3)\n",
"\n",
" assert_equal(graph.nodes[0].adjacent[graph.nodes[1]], 5)\n",
" assert_equal(graph.nodes[1].adjacent[graph.nodes[0]], 5)\n",
" assert_equal(graph.nodes[0].adjacent[graph.nodes[5]], 2)\n",
" assert_equal(graph.nodes[5].adjacent[graph.nodes[0]], 2)\n",
" assert_equal(graph.nodes[1].adjacent[graph.nodes[2]], 3)\n",
" assert_equal(graph.nodes[2].adjacent[graph.nodes[1]], 3)\n",
"\n",
" print('Success: test_graph')\n",
"\n",
"\n",
"def main():\n",
" test = TestGraph()\n",
" test.test_graph()\n",
" test.test_graph_undirected()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
@@ -197,21 +224,21 @@
],
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"kernelspec": {
"display_name": "Python 2",
"display_name": "Python 3",
"language": "python",
"name": "python2"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
"pygments_lexer": "ipython3",
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}
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"nbformat": 4,