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Run grid study using ray to parallelize workload #15

Run grid study using ray to parallelize workload

Run grid study using ray to parallelize workload #15

Workflow file for this run

name: Autograding Tests
'on':
- push
- workflow_dispatch
- repository_dispatch
permissions:
checks: write
actions: read
contents: read
jobs:
run-autograding-tests:
runs-on: ubuntu-latest
if: github.actor != 'github-classroom[bot]'
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Hello world test
id: hello-world-test
uses: education/autograding-python-grader@v1
with:
timeout: 5
max-score: 5
- name: Autograding Reporter
uses: education/autograding-grading-reporter@v1
env:
HELLO-WORLD-TEST_RESULTS: "${{steps.hello-world-test.outputs.result}}"
with:
runners: hello-world-test