A program dependence graph (PDG) is a graphic representation of the data and control dependencies within a procedure. PDGs have been used to detect software plagiarism. The current methods of constructing PDGs do not include data dependence incurred by Python's dynamic reference. This paper ...
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return [is_prime(elem) for elem in arr] 试着用 VizTracer 以单线程方式正常运行它: if __name__ == "__main__": num_arr = [random.randint(100, 10000) for _ in range(6000)] get_prime_arr(num_arr) viztracer my_program.py Running code in a single thread 调用堆栈报告显示,耗时约 14...
axis.grid(linestyle='-')# solid grid lines#---axis1 = fig.add_subplot(212)# 2 rows, 1 column, Bottom graph#---xValues1 = [1,2,3,4] yValues1 = [7,5,8,6] axis1.plot(xValues1, yValues1) axis1.grid()# default line style#---...
program operates with a graphical user interface (GUI) so that selecting images and processing the graphs are intuitive and accessible to anyone, regardless of programming experience. Detection of networks from input images, the extraction of the graph object, and the subsequent GT analysis of the ...
Python program to implement breadth first search for a graph importsysimportmathdefbfs(n,edges,s):#initialize state, distance and parent for all the verticesstate=[0foriinrange(n)]distance=[float('inf')foriinrange(n)]parent=[-1foriinrange(n)]#initialize state, distance and parent for ...
defcount(number) :foriinrange(0,100000000): i=i+1returni*numberdefevaluate_item(x): result_item = count(x) 在main程序中,我们以顺序模式执行相同的任务: if__name__ =="__main__":foriteminnumber_list: evaluate_item(item) 然后,以并行模式使用concurrent.futures的线程池功能: ...
plotnineSeqSuite needs to modify the default coordinate axis information of the graph. plotnineSeqSuite also predefines some class properties to store the above information, such as class property geom_logo.xlab and geom_logo.scale_x_continuous. Users can use ggplot() to add these classes to ge...
w.add_graph net = Alexnet() img = torch.rand((1, 3, 224, 224)) with SummaryWriter(log_dir='logs') as w: w.add_graph(net, img)在文件夹logs目录下生成文件之后,在pycharm中打开终端打开之后刚好是当前的目录地址,然后输入这个命令 tensorboard --logdir ./logs --port 6006...
基于Graph 可以直接生成 Python 代码(traced.code) importtorchfromtorch.fximportsymbolic_trace,GraphModuledefmy_func(x):returntorch.relu(x).neg()# Program capture via symbolic tracingtraced:GraphModule=symbolic_trace(my_func)fornintraced.graph.nodes:print(f’{n.name}={n.op}target={n.target}args...