Code PyRGG: Python Random Graph Generator Overview PyRGG is a user-friendly synthetic random graph generator that is written in Python and supports multiple graph file formats, such asDIMACS-Graphfiles. It can generate graphs of various sizes and is specifically designed to create input files for...
[entry_point ...] positional arguments: entry_point Entry points to be processed optional arguments: -h, --help show this help message and exit --package PACKAGE Package containing the code to be analyzed --fasten Produce call graph using the FASTEN format --product PRODUCT Package name --...
generator = GraphGenerator() graph = generator.createGraph(m) p = Prim() res_edge_list = p.prim(graph)# 打印prim算法结果output = []# 边信息输出min_weights_sum =0# 权值的最小和for_, edgeinenumerate(res_edge_list): output.append(str(edge.n_from.value) +str(edge.n_to.value)) min...
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Adding a python codelet to the graph is different from adding a C++ codelet. Unlike C++ codelets, the type of python codelet is nvidia::gxf::PyCodeletV0 and not nvidia::gxf::Codelet. Linking the implementation of the codelet is done via params directly. Also, python codelets can obtain ...
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Output >> <generator object get_cubes_gen at 0x011B6530> So how do you access the elements of the sequence?To code along, start a Python REPL and import the generator function. Here, I have my code in thegen_example.pyfile, so I’m importing theget_cubes_gen()function from theget...
x该模块包括如下子模块，可以看到涵盖了如下各种数据结构和相关算法：arrays backtrack bit graph ...
defmixgenerator(x_init,c,org_pose,trg_pose):reuse=len([tfortintf.global_variables()ift.name.startswith('generator')])>0withtf.variable_scope('generator',reuse=reuse):org_pose=tf.cast(tf.reshape(org_pose,shape=[-1,1,1,org_pose.shape[-1]]),tf.float32)print(org_pose.shape)org_pose...
View Code 5 meta 类:用于objectType的配置 Enum View Code Interfaces 顾名思义,接口,其他的obectType可以继承接口,示例如下 View Code 另外scheme中如果没有指定type,会报错 "Abstract type Character must resolve to an Object type at runtime for field Query.hero ..." ...