Add matrix-weighted learning

.github/workflows/python-package-conda.yml

@@ -21,7 +21,7 @@ jobs:
     - uses: actions/checkout@v3
       with: 
         token: ${{ secrets.CONSTRAINT_LEARNING_PAT }}
-        submodules: recursive
+        submodules: true
     - name: Set up Python 3.10
       uses: actions/setup-python@v3
       with:
@@ -42,4 +42,4 @@ jobs:
     - name: Test with pytest
       run: |
         conda install pytest
-        pytest
+        pytest _test/

.gitignore

@@ -1,5 +1,6 @@
 _results/
 _results_server/
+_results_laptop/
 _plots/
 starrynight/
 log/
@@ -16,3 +17,4 @@ solve_mosek.ptf
 solve_cvxpy*.ptf
 build/
 dist/
+mosek_output.tmp

.gitmodules

@@ -4,3 +4,6 @@
 [submodule "certifiable-tools"]
 	path = certifiable-tools
 	url = [email protected]:utiasASRL/certifiable-tools
+[submodule "mat_weight_certs"]
+	path = mat_weight_certs
+	url = [email protected]:holmesco/mat_weight_certs

_scripts/generate_all_results.py

@@ -1,21 +1,21 @@
+import matplotlib
+
 from _scripts.run_all_study import run_all as run_all_study
-from _scripts.run_stereo_study import run_all as run_stereo_study
-from _scripts.run_range_only_study import run_all as run_range_only_study
-from _scripts.run_other_study import run_all as run_other_study
-from _scripts.run_datasets_stereo import run_all as run_datasets_stereo
 from _scripts.run_datasets_ro import run_all as run_datasets_ro
-
-import matplotlib
+from _scripts.run_datasets_stereo import run_all as run_datasets_stereo
+from _scripts.run_other_study import run_all as run_other_study
+from _scripts.run_range_only_study import run_all as run_range_only_study
+from _scripts.run_stereo_study import run_all as run_stereo_study
 
 try:
-    # matplotlib.use("TkAgg")
-    matplotlib.use("Agg")
-except:
+    matplotlib.use("TkAgg")
+    # matplotlib.use("Agg") # no plotting
+except Exception as e:
     pass
 
 if __name__ == "__main__":
     n_seeds = 1  # was 10
-    recompute = False
+    recompute = True
     tightness = True
     scalability = True