Created
October 24, 2018 02:36
-
-
Save linanqiu/f6c3e4e383d226b210679025d6bd6e70 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 18, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"\n", | |
"def generate_test_case(counts):\n", | |
" subgraph_counts = np.array(counts)\n", | |
" subgraph_counts_cum = np.cumsum(subgraph_counts)\n", | |
" nodes_total = np.sum(subgraph_counts)\n", | |
" nodes = np.array(range(nodes_total))\n", | |
" np.random.shuffle(nodes)\n", | |
" slices = [slice(j - i, j) for i, j in zip(subgraph_counts, subgraph_counts_cum)]\n", | |
" nodes_sliceds = [nodes[s] for s in slices]\n", | |
" \n", | |
" graph = np.zeros((nodes_total, nodes_total))\n", | |
" \n", | |
" for nodes_sliced in nodes_sliceds:\n", | |
" nodes_sliced_set = set(nodes_sliced)\n", | |
" nodes_chosen = set()\n", | |
" while nodes_chosen != nodes_sliced_set:\n", | |
" nodes_to_link = np.random.choice(nodes_sliced, 2, replace=False)\n", | |
" if (not nodes_chosen) or (nodes_to_link[0] in nodes_chosen) or (nodes_to_link[1] in nodes_chosen):\n", | |
" nodes_chosen.update(nodes_to_link)\n", | |
" graph[nodes_to_link[0], nodes_to_link[1]] = 1\n", | |
" graph[nodes_to_link[1], nodes_to_link[0]] = 1\n", | |
" \n", | |
" graph_text = np.vectorize(lambda x: 'Y' if x == 1 else 'N')(graph)\n", | |
" graph_strings = [''.join(c) for c in graph_text]\n", | |
" return graph_strings\n", | |
"\n", | |
"test_data_1 = generate_test_case([3, 3, 5])\n", | |
"test_data_2 = generate_test_case([2, 3, 5, 3])\n", | |
"test_data_3 = generate_test_case(range(2, 50))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 34, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from collections import defaultdict\n", | |
"\n", | |
"# essentially a sparse matrix\n", | |
"class SparseMatrix:\n", | |
" def __init__(self, adjacency_list):\n", | |
" self.adjacency_list = adjacency_list\n", | |
" self.subgraph_count = None\n", | |
" \n", | |
" def count(self):\n", | |
" return len(self.adjacency_list)\n", | |
" \n", | |
" def from_input(input_strings):\n", | |
" adjacency_list = tuple(frozenset([index for index, elem in enumerate(line) if elem == 'Y']) for line in input_strings)\n", | |
" return SparseMatrix(adjacency_list)\n", | |
" \n", | |
" def count_subgraphs(self):\n", | |
" # cached, and this works because frozen sets and immutability fuck yeah\n", | |
" if not self.subgraph_count:\n", | |
" self.subgraph_count = SparseMatrix.__count_subgraphs(self, set(range(len(self.adjacency_list))))\n", | |
" return self.subgraph_count\n", | |
" \n", | |
" def __getitem__(self, node):\n", | |
" if node < self.count():\n", | |
" return self.adjacency_list[node]\n", | |
" return []\n", | |
" \n", | |
" def __count_subgraphs(graph, nodes_unvisited):\n", | |
" subgraph_count = 0\n", | |
" while nodes_unvisited:\n", | |
" subgraph_count += 1\n", | |
" nodes_in_subgraph = set([nodes_unvisited.pop()])\n", | |
" while nodes_in_subgraph:\n", | |
" node = nodes_in_subgraph.pop()\n", | |
" if node in nodes_unvisited:\n", | |
" nodes_unvisited.remove(node)\n", | |
" neighbors_unvisited = graph[node] & nodes_unvisited\n", | |
" nodes_in_subgraph.update(neighbors_unvisited)\n", | |
" return subgraph_count\n", | |
" \n", | |
"def friend_circles(friends_input):\n", | |
" friendships = SparseMatrix.from_input(friends_input)\n", | |
" return friendships.count_subgraphs()\n", | |
"\n", | |
"assert friend_circles(test_data_1) == 3\n", | |
"assert friend_circles(test_data_2) == 4\n", | |
"assert friend_circles(test_data_3) == 48" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.7.0" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment