|
| 1 | +import sys |
| 2 | + |
| 3 | +class De_Bruijn_Graph: |
| 4 | + def __init__(self, patterns): |
| 5 | + |
| 6 | + assert(len(patterns) > 0) |
| 7 | + self._pattern_size = len(patterns[0]) |
| 8 | + assert(self._pattern_size > 0) |
| 9 | + |
| 10 | + self._build_gragh(patterns) |
| 11 | + |
| 12 | + def _build_gragh(self, patterns): |
| 13 | + |
| 14 | + self.nodes = [] |
| 15 | + self.adjacency_list = [] |
| 16 | + node_kmer_no_dict = dict() |
| 17 | + for pattern in patterns: |
| 18 | + assert(len(pattern) == self._pattern_size) |
| 19 | + |
| 20 | + prefix_node_no = self.get_node_no(pattern[0:self._pattern_size-1], node_kmer_no_dict) |
| 21 | + suffix_node_no = self.get_node_no(pattern[1:self._pattern_size], node_kmer_no_dict) |
| 22 | + |
| 23 | + self.adjacency_list[prefix_node_no].append(suffix_node_no) |
| 24 | + |
| 25 | + def get_node_no(self, kmer, node_kmer_no_dict): |
| 26 | + |
| 27 | + if kmer in node_kmer_no_dict: |
| 28 | + node_no = node_kmer_no_dict[kmer] |
| 29 | + |
| 30 | + else: |
| 31 | + node_no = len(self.nodes) |
| 32 | + self.nodes.append(kmer) |
| 33 | + self.adjacency_list.append([]) |
| 34 | + node_kmer_no_dict[kmer] = node_no |
| 35 | + |
| 36 | + return node_no |
| 37 | + |
| 38 | + def str_adjacency_list(self): |
| 39 | + |
| 40 | + result_list = [] |
| 41 | + for node in range(len(self.nodes)): |
| 42 | + if len(self.adjacency_list[node]) == 0: |
| 43 | + continue |
| 44 | + |
| 45 | + node_adjacents = [ self.nodes[node] ] |
| 46 | + node_adjacents.append(' -> ') |
| 47 | + for a in range(len(self.adjacency_list[node])): |
| 48 | + adjacent_node_id = self.adjacency_list[node][a] |
| 49 | + node_adjacents.append(self.nodes[adjacent_node_id]) |
| 50 | + if a < len(self.adjacency_list[node]) - 1: |
| 51 | + node_adjacents.append(',') |
| 52 | + result_list.append(''.join(node_adjacents)) |
| 53 | + |
| 54 | + return '\n'.join(result_list) |
| 55 | + |
| 56 | +if __name__ == "__main__": |
| 57 | + patterns = sys.stdin.read().strip().splitlines() |
| 58 | + |
| 59 | + de_bruijn_graph = De_Bruijn_Graph(patterns) |
| 60 | + |
| 61 | + print(de_bruijn_graph.str_adjacency_list()) |
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