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来自北京科技大学某小组的一个verilog的评测沙箱,基于Flask编写

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Verilog-Judge-USTB

来自北京科技大学某小组的一个verilog的评测沙箱,基于Flask编写

A verilog online judger from USTB, based on Flask-python

Usage

构建(build)

git clone https://github.com/dashjay/Verilog-Judge-USTB.git
cd Verilog-Judge-USTB
docker build . -t verilog-judge

运行(run)

docker run verilog-judge -v ./modelsim_ase:/root/modelsim_ase -p 33778:5000

Modelsim_ase

以上是modelsim的下载地址

MD5 (modelsim_ase.7z) = 69a73347f20b1535db67de68e7dd538d

size:186M

解压后大小1.6GB

内部指定的modelsim_ase来自FPGA微软的免费软件Quartus Lite 中的modelsim组件

docker内部运行的端口是5000,开在外部

测试(test)

chmod +x test.sh
python test.py | python -m json.tool

以下是测试输出

The following is the test output

{
    "cmpcode": 1,
    "cmpresult": "Start time: 07:46:33 on Sep 02,2019\nvlog top_module.v \nModel Technology ModelSim - Intel FPGA Edition vlog 10.5b Compiler 2016.10 Oct  5 2016\n-- Compiling module top_module\n\nTop level modules:\n\ttop_module\nEnd time: 07:46:34 on Sep 02,2019, Elapsed time: 0:00:01\nErrors: 0, Warnings: 0\n",
    "signal": "{\"signal\":[{\"name\":\"a\",\"wave\":\"==========\",\"data\":[\"/top_module/i\",\"8\",\"8\",\"8\",\"8\",\"8\"]},{\"name\":\"b\",\"wave\":\"==========\",\"data\":[\"a\",\"a\",\"2\",\"3\",\"4\"]},{\"name\":\"p\",\"wave\":\"==========\",\"data\":[\"xx\",\"50\",\"10\",\"18\",\"20\"]}]}\n",
    "status": 1
}

参数表

参数(parameter) 值(value)
top_module top_module.v字符串形式传送
stim stim.v 激励文件字符串形式传送

thanks

Explainaur 编写了最复杂的shell脚本

在下只写了点破Web服务并且测试了一下

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来自北京科技大学某小组的一个verilog的评测沙箱,基于Flask编写

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