华容道高性能计算引擎
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#!/usr/bin/env python3
import igraph as ig
from lxml import etree
from dataclasses import dataclass
class GraphML:
@dataclass(frozen=True)
class Node:
id: str
code: str
step: int
@dataclass(frozen=True)
class Edge:
src: str # node id
dst: str # node id
def __init__(self, gid: str, graph: ig.Graph):
self.__gid = gid
self.__nodes = []
id_len = len(str(graph.vcount() - 1))
for index in range(graph.vcount()):
info = graph.vs[index]
self.__nodes.append(GraphML.Node(f'n{index:0{id_len}d}', info['code'], info['step']))
self.__edges = []
for n1, n2 in graph.get_edgelist():
node_1 = self.__nodes[n1]
node_2 = self.__nodes[n2]
if node_1.step < node_2.step:
node_1, node_2 = node_2, node_1
self.__edges.append(GraphML.Edge(node_1.id, node_2.id))
def __dump_node(self, node: Node) -> etree.Element:
node_xml = etree.Element('node', id=node.id)
etree.SubElement(node_xml, 'data', key='v_code').text = node.code
etree.SubElement(node_xml, 'data', key='v_step').text = str(node.step)
return node_xml
def __dump_edge(self, edge: Edge) -> etree.Element:
return etree.Element('edge', source=edge.src, target=edge.dst)
def __dump_graph(self) -> etree.Element:
graph_xml = etree.Element('graph', id=self.__gid, edgedefault='undirected')
for node in self.__nodes:
graph_xml.append(self.__dump_node(node))
for edge in self.__edges:
graph_xml.append(self.__dump_edge(edge))
return graph_xml
def build_and_save(self, output: str) -> None:
root = etree.Element('graphml', nsmap={
None: 'http://graphml.graphdrawing.org/xmlns',
'xsi': 'http://www.w3.org/2001/XMLSchema-instance'
})
root.set(
'{http://www.w3.org/2001/XMLSchema-instance}schemaLocation',
'http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd'
)
etree.SubElement(root, 'key', attrib={
'id': 'v_code',
'for': 'node',
'attr.name': 'code',
'attr.type': 'string'
})
etree.SubElement(root, 'key', attrib={
'id': 'v_step',
'for': 'node',
'attr.name': 'step',
'attr.type': 'int'
})
root.append(self.__dump_graph())
tree = etree.ElementTree(root)
tree.write(output, pretty_print=True, xml_declaration=True, encoding='utf-8')
def to_graphml(tag: str, input: str, output: str) -> None:
gml = GraphML(tag, ig.Graph.Read_Pickle(input))
gml.build_and_save(output)
if __name__ == "__main__":
to_graphml('0-00M-005X', 'output-ig/0-00M-005X_DAAFE0C.pkl', 'output-gml/0-00M-005X_DAAFE0C.graphml')