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[pre-commit.ci] pre-commit autoupdate #52

[pre-commit.ci] pre-commit autoupdate

[pre-commit.ci] pre-commit autoupdate #52

Workflow file for this run

name: unit-test
on:
workflow_dispatch:
pull_request:
push:
branches: [next, qa, main]
tags: ['v*']
jobs:
linux:
runs-on: ubuntu-latest
defaults:
run:
shell: bash -l {0}
steps:
- uses: actions/checkout@v3
- uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: true
channels: conda-forge,defaults
mamba-version: "*"
environment-file: environment.yml
cache-environment-key: ${{ runner.os }}-env-${{ hashFiles('**/environment.yml') }}
cache-downloads-key: ${{ runner.os }}-downloads-${{ hashFiles('**/environment.yml') }}
- name: install additional dependencies
run: |
echo "installing additional dependencies if cannot be installed from conda"
- name: run unit tests
run: |
echo "running unit tests (CPU)"
python -m pytest --cov=src --cov-report=xml --cov-report=term-missing -m "not cuda_required"
- name: upload coverage to codecov
uses: codecov/codecov-action@v4
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: build conda package
run: |
# test that the conda package builds
cd conda.recipe
echo "versioningit $(versioningit ../)"
# conda channels could have been defined in the conda-incubator, but you can copy/paste the lines
# below to build the conda package in your local machine
CHANNELS="--channel mantid/label/main --channel conda-forge"
VERSION=$(versioningit ../) conda mambabuild $CHANNELS --output-folder . .
conda verify noarch/bm3dornl*.tar.bz2
linux_gpu:
runs-on: github-gpu-builder
defaults:
run:
shell: bash -l {0}
steps:
- uses: actions/checkout@v3
- uses: conda-incubator/setup-miniconda@v2
with:
miniforge-version: "latest"
auto-update-conda: true
channels: conda-forge,defaults
mamba-version: "*"
environment-file: environment.yml
cache-environment-key: ${{ runner.os }}-env-${{ hashFiles('**/environment.yml') }}
cache-downloads-key: ${{ runner.os }}-downloads-${{ hashFiles('**/environment.yml') }}
- name: install additional dependencies
run: |
echo "installing additional dependencies if cannot be installed from conda"
- name: run unit tests
run: |
echo "running unit tests (GPU)"
python -m pytest --cov=src --cov-report=xml --cov-report=term-missing -m "cuda_required"