DeepDFA(초안)

환경은 역시 Colab에서 진행됩니다.

* 용량이 큰 10GB 짜리 MSR.... 엑셀 파일은 google drive업로드 후

cp 명령어로 복사합니다 > 경로는 스토리지 > 익스터널 > ....

!git clone https://github.com/ISU-PAAL/DeepDFA.git

!wget https://github.com/joernio/joern/releases/download/v1.1.1072/joern-cli.zip

!unzip joern-cli.zip -d joern-cli

!export PATH=$PATH:/content/joern-cli/joern-cli

from google.colab import drive

drive.mount('/content/drive')

!pip install pip==23.2.1

!pip install tqdm numpy pandas torch==1.12 "torchmetrics<0.10.0" torchsampler silence-tensorflow tensorflow scipy captum deepspeed scikit-learn tokenizers transformers tree-sitter unidiff jsonlines networkx pexpect jsonargparse fastparquet gdown nni

!pip install -f https://data.dgl.ai/wheels/cu117/repo.html "dgl<1.1.3"

!pip install pytorch-lightning==1.7.7

!apt-get install openjdk-11-jdk-headless -qq > /dev/null

!pip install virtualenv

 

# bash scripts/run_prepare.sh $@

!python -u DeepDFA/DDFA/sastvd/scripts/prepare.py --dataset bigvul --global_workers 12

 

# bash scripts/run_getgraphs.sh $@ # Make sure Joern is installed!

import os

os.environ['PATH'] += ":/content/joern-cli/joern-cli"

#run getgraphes...

!python -u DeepDFA/DDFA/sastvd/scripts/getgraphs.py bigvul --sess $jan --num_jobs 100 --overwrite

 

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