Coerce frame interval columns to int before exploding

Author: bergsalex

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "jabs-postprocess"
-version = "0.5.2"
+version = "0.5.3"
 description = "A python library for JABS postprocessing utilities."
 readme = "README.md"
 license = "LicenseRef-PLATFORM-LICENSE-AGREEMENT-FOR-NON-COMMERCIAL-USE"

src/jabs_postprocess/compare_gt.py

@@ -498,6 +498,10 @@ def generate_output_paths(results_folder: Path):
 def _expand_intervals_to_frames(df):
     """Expand behavior intervals into per-frame rows."""
     expanded = df.copy()
+    # Ensure integer frame boundaries so range() receives ints even if upstream data was cast to float
+    for col in ["animal_idx", "start", "duration"]:
+        if col in expanded.columns:
+            expanded[col] = pd.to_numeric(expanded[col], errors="coerce").fillna(0).astype(int)
     expanded["frame"] = expanded.apply(
         lambda row: range(row["start"], row["start"] + row["duration"]), axis=1
     )