我们从Python开源项目中，提取了以下5个代码示例，用于说明如何使用networkx.compose()。
def __addEnds(self, obj0SRotmat4, obj1SRotmat4): """ add the two ends to the graph :param obj0SRotmat4: :param obj1SRotmat4: :return: """ self.regghalf[0].deleteEnd() self.regghalf[1].deleteEnd() self.regghalf[0].addEnd(obj0SRotmat4) self.regghalf[1].addEnd(obj1SRotmat4) self.regg = nx.compose(self.regghalf[0].graphtpp.regg, self.regghalf[1].graphtpp.regg) self.__addAssNodes(armname = 'rgt') self.__addAssNodes(armname = 'lft') self.__bridgeGraph()
def from_depends(subtrees): G = nx.DiGraph() root = RootNode() for subG in subtrees: self.G = nx.compose(G, subG.G) self.G.add_edge(root, subG.root) return InstalledGraph(G, root)
def collect_tasks(path, folders, matrix_base_dir, channels=None, steps=0, test=False, max_downstream=5, variant_config_files=None): # runs = ['test'] # not testing means build and test # if not test: # runs.insert(0, 'build') runs = ['build'] task_graph = nx.DiGraph() config = conda_build.api.Config() for run in runs: platforms = parse_platforms(matrix_base_dir, run) # loop over platforms here because each platform may have different dependencies # each platform will be submitted with a different label for platform in platforms: index_key = '-'.join([platform['platform'], str(platform['arch'])]) config.channel_urls = channels or [] config.variant_config_files = variant_config_files or [] conda_resolve = Resolve(get_build_index(subdir=index_key, bldpkgs_dir=config.bldpkgs_dir)[0]) # this graph is potentially different for platform and for build or test mode ("run") g = construct_graph(path, worker=platform, folders=folders, run=run, matrix_base_dir=matrix_base_dir, conda_resolve=conda_resolve, config=config) # Apply the build label to any nodes that need (re)building or testing expand_run(g, conda_resolve=conda_resolve, worker=platform, run=run, steps=steps, max_downstream=max_downstream, recipes_dir=path, matrix_base_dir=matrix_base_dir) # merge this graph with the main one task_graph = nx.compose(task_graph, g) return task_graph
def appendToNode(self, t, rdag): """ append rdag to self, adding edges from a given node to rdag's roots Params: t (SanskritObject) : Node to append to rdag (SanskritLexicalGraph): Graph to append to node """ # t is in our graph assert t in self.G self.G = nx.compose(self.G, rdag.G) for r in rdag.roots: self.G.add_edge(t, r)
def copy_to_bidirectional(g:nx.DiGraph, weight='weight'): return nx.compose(g, reverse_weights(g, weight=weight))
