azure-pipelines-2.yml

# Starter pipeline
# Start with a minimal pipeline that you can customize to build and deploy your code.
# Add steps that build, run tests, deploy, and more:
# https://aka.ms/yaml

trigger:
  - main

pool: wenjiao-test

stages:
  - stage: pylint
    jobs:
      - job: pylint_test
        steps:
          - task: Bash@3
            inputs:
              targetType: "inline"
              script: |
                pip install pylint==2.12.1
                pip install intel-tensorflow
                python -m pylint -f json --disable=R,C,W,E1129 --enable=line-too-long --max-line-length=120 --extension-pkg-whitelist=numpy --ignored-classes=TensorProto,NodeProto --ignored-modules=tensorflow,torch,torch.quantization,torch.tensor,torchvision,mxnet,onnx,onnxruntime ./neural_compressor
                exit_code=$?
                if [ ${exit_code} -ne 0 ] ; then
                    echo "PyLint exited with non-zero exit code."; exit 1
                fi
                exit 0

  - stage: bandit
    jobs:
      - job: bandit_test
        steps:
          - task: Bash@3
            inputs:
              targetType: "inline"
              script: |
                pip install bandit
                python -m bandit -r -lll -iii neural_compressor
                exit_code=$?
                if [ ${exit_code} -ne 0 ] ; then
                    echo "Bandit exited with non-zero exit code."; exit 1
                fi
                exit 0

  - stage: pyspelling
    jobs:
      - job: pyspelling_test
        steps:
          - task: Bash@3
            inputs:
              targetType: "inline"
              script: |
                pip install pyspelling
                # Update paths to validation and lpot repositories
                VAL_REPO=${WORKSPACE}

                sed -i "s|\${VAL_REPO}|$VAL_REPO|g" ${VAL_REPO}/pyspelling_conf.yaml
                sed -i "s|\${LPOT_REPO}|$REPO_DIR|g" ${VAL_REPO}/pyspelling_conf.yaml
                echo "Modified config:"
                cat ${VAL_REPO}/pyspelling_conf.yaml
                pyspelling -c ${VAL_REPO}/pyspelling_conf.yaml
                exit_code=$?
                if [ ${exit_code} -ne 0 ] ; then
                    echo "Pyspelling exited with non-zero exit code."; exit 1
                fi
                exit 0