upd

Author: AlekseySh

ml-runs/0/meta.yaml

@@ -0,0 +1,6 @@
+artifact_location: file:///Users/alex/Projects/open-metric-learning/ml-runs/0
+creation_time: 1712785684615
+experiment_id: '0'
+last_update_time: 1712785684615
+lifecycle_stage: active
+name: Default

oml/registry/transforms.py

@@ -108,6 +108,7 @@ def save_transforms_as_files(cfg: TCfg) -> List[Tuple[str, str]]:
                     keys_files.append((key, transforms_file))
             except Exception:
                 print(f"We are not able to interpret {key} as albumentations transforms and log them as a file.")
+    print(keys_files, "zzzz")
     return keys_files
 
 

tests/test_oml/test_functional/test_metrics/test_retrieval_metrics.py

@@ -314,3 +314,6 @@ def test_calc_fnmr_at_fmr_check_params(fmr_vals: Tuple[int, ...]) -> None:
         pos_dist = torch.zeros(10)
         neg_dist = torch.ones(10)
         calc_fnmr_at_fmr(pos_dist, neg_dist, fmr_vals)
+
+
+# todo 525: add a test for a new metric signature with clipped matrix of predictions

tests/test_oml/test_registry/test_registry.py

@@ -142,7 +142,10 @@ def test_saving_transforms_as_files() -> None:
     cfg = yaml.safe_load(cfg)
     save_transforms_as_files(cfg)
 
-    assert Path("transforms_train.yaml").exists()
-    assert not Path("transforms_val.yaml").exists()
+    assert Path("transforms_train.yaml").exists() or Path(".hydra/transforms_train.yaml").exists()
+    assert (not Path("transforms_val.yaml").exists()) and (not Path("transforms_val.yaml").exists())
 
-    Path("transforms_train.yaml").unlink()
+    if Path("transforms_train.yaml").exists():
+        Path("transforms_train.yaml").unlink()
+    else:
+        Path(".hydra/transforms_train.yaml").unlink()