Workflow restructuring

.github/workflows/pytest_coveralls.yml

@@ -0,0 +1,34 @@
+# This workflow will install Python dependencies, run tests for a single versions of Python and commit test results to coveralls
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: pytest
+
+on: pull_request
+
+jobs:
+  pytest:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+      with:
+        lfs: true
+    - name: Set up Python 3.8
+      uses: actions/setup-python@v4
+      with:
+        python-version: 3.8
+    - name: Install dependencies
+      run: |
+        git lfs pull
+        python -m pip install --upgrade pip
+        python -m pip install pytest coverage coveralls
+    - name: Install package
+      run: |
+        python -m pip install .
+    - name: Test with pytest
+      run: |
+        coverage run -m pytest -sv --show-capture=no tests
+    - name: Submit to coveralls
+      env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      run: |
+          coveralls --service=github

.github/workflows/pytest.yml → .github/workflows/pytest_muliversion.yml

@@ -6,8 +6,6 @@ name: pytest
 on:
   push:
     branches: [main]
-  pull_request:
-    branches: [main]
 
 jobs:
   pytest:

tests/calibrator/test_momentum.py

@@ -269,9 +269,20 @@ def test_apply_registration(
             [248.29, 248.62],
         ],
     )
+    # store dummy deformation
+    mc.reset_deformation()
+    dummy_inv_dfield = np.asarray(
+        [
+            np.asarray([np.arange(0, 2048) for _ in range(2048)]),
+            np.asarray([np.arange(0, 2048) for _ in range(2048)]).T,
+        ],
+    )
+    mc.inverse_dfield = dummy_inv_dfield
     mc.add_features(features=features, rotsym=6)
     mc.spline_warp_estimate()
     mc.pose_adjustment(**transformations, apply=True)
+    # disable re-calculation of inverse defield to save time, as we are just testing meta data here
+    mc.dfield_updated = False
     df, metadata = mc.apply_corrections(df=df)
     assert "Xm" in df.columns
     assert "Ym" in df.columns