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FFT + Time Reversal Reconstruction #2809

FFT + Time Reversal Reconstruction

FFT + Time Reversal Reconstruction #2809

Workflow file for this run

name: pytest
on: [push, pull_request]
jobs:
collect_references:
name: collect_references
outputs:
MATLAB_REFS_HASH: ${{ steps.matlab-refs-hash.outputs.MATLAB_REFS_HASH }}
runs-on: ubuntu-latest
steps:
- name: checkout repository
uses: actions/checkout@v4
with:
path: k-Wave-python
# Calculate hash value that will be used as a cache key
- name: Calculate matlab references hash
id: matlab-refs-hash
run: |
MATLAB_REFS_HASH=$(find ./k-Wave-python/tests/matlab_test_data_collectors/matlab_collectors -type f | xargs sha1sum | sha1sum | awk '{ print $1 }');
echo "MATLAB_REFS_HASH=$MATLAB_REFS_HASH" >> $GITHUB_OUTPUT
# Pull cache if exists, otherwise cache will be created at the specified path
- name: Cache collected references
uses: actions/cache@v3
id: matlab-refs-cache
env:
cache-name: cache-matlab-references
with:
key: ${{ steps.matlab-refs-hash.outputs.MATLAB_REFS_HASH }}
path: ./collectedValues.tar.gz
- name: Checkout reference k-Wave repo
uses: actions/checkout@v4
if: ${{ steps.matlab-refs-cache.outputs.cache-hit != 'true' }}
with:
repository: ucl-bug/k-wave
path: k-wave
ref: v1.4.0
- name: setup MATLAB
uses: matlab-actions/setup-matlab@v1
if: ${{ steps.matlab-refs-cache.outputs.cache-hit != 'true' }}
- name: run reference generation
uses: matlab-actions/run-command@v1
if: ${{ steps.matlab-refs-cache.outputs.cache-hit != 'true' }}
with:
command: |
ls;
pwd;
if exist('k-wave/k-Wave'); ls 'k-wave/k-Wave'; end;
addpath('k-Wave-python','k-wave/k-Wave');
cd k-Wave-python/tests/matlab_test_data_collectors;
run_all_collectors;
- name: Compress generated references
uses: a7ul/[email protected]
if: ${{ steps.matlab-refs-cache.outputs.cache-hit != 'true' }}
with:
command: c
cwd: ./k-Wave-python/tests/matlab_test_data_collectors/matlab_collectors/
files: |
./collectedValues
outPath: collectedValues.tar.gz
- name: upload reference values artifact
id: artifact-upload-step
if: ${{ steps.matlab-refs-cache.outputs.cache-hit != 'true' }}
uses: actions/upload-artifact@v4
with:
name: matlab_reference_test_values
path: collectedValues.tar.gz
# overwrite: true
- name: Output artifact URL
if: ${{ steps.matlab-refs-cache.outputs.cache-hit != 'true' }}
run: echo 'Artifact URL is ${{ steps.artifact-upload-step.outputs.artifact-url }}'
test:
needs: collect_references
strategy:
matrix:
os: [ "windows-latest", "ubuntu-latest" , "macos-latest"]
python-version: [ "3.10", "3.11", "3.12", "3.13" ]
runs-on: ${{matrix.os}}
steps:
- uses: actions/checkout@v4
# Pull the cache based on the hash value
- name: Cache collected references
uses: actions/cache@v3
id: cache-matlab-refs
env:
cache-name: cache-matlab-references
with:
key: ${{ needs.collect_references.outputs.MATLAB_REFS_HASH }}
path: ./collectedValues.tar.gz
fail-on-cache-miss: true
enableCrossOsArchive: true
# Now we have the references archive available in this job, proceed by unpacking it
- name: unpack collectedValues
uses: a7ul/[email protected]
with:
command: x
cwd: ./tests/matlab_test_data_collectors/python_testers/
files: ${{github.workspace}}/collectedValues.tar.gz
- name: where are the files?
run: |
ls ./tests/matlab_test_data_collectors/python_testers/
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'pip'
- name: Install dependencies
run: |
pip install '.[test]'
- name: Test with pytest
run: |
coverage run
- name: Create coverage report
run: |
coverage xml
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v4
with:
env_vars: ${{matrix.os}},${{ matrix.python-version }}
fail_ci_if_error: true
flags: ${{matrix.os}},${{ matrix.python-version }}
name: ${{matrix.os}},${{ matrix.python-version }}
verbose: true
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}