fix: 🩹 Catch out of bounds requests.

This is a hacky fix. The underlying issue needs to be found and corrected.

src/cellmap_data/dataset.py

@@ -7,6 +7,10 @@
 import tensorstore
 from .image import CellMapImage, EmptyImage
 
+import logging
+
+logger = logging.getLogger(__name__)
+
 
 def split_target_path(path: str) -> tuple[str, list[str]]:
     """Splits a path to groundtruth data into the main path string, and the classes supplied for it."""
@@ -170,18 +174,23 @@ def __len__(self):
         if not self.has_data and not self.force_has_data:
             return 0
         if self._len is None:
-            size = 1
-            for _, (start, stop) in self.sampling_box.items():
-                size *= abs(stop - start)
-            size /= np.prod(list(self.largest_voxel_sizes.values()))
-            self._len = int(np.floor(size))
+            size = np.prod([self.sampling_box_shape[c] for c in self.axis_order])
+            self._len = int(size)
         return self._len
 
     def __getitem__(self, idx):
         """Returns a crop of the input and target data as PyTorch tensors, corresponding to the coordinate of the unwrapped index."""
-        center = np.unravel_index(
-            idx, [self.sampling_box_shape[c] for c in self.axis_order]
-        )
+        try:
+            center = np.unravel_index(
+                idx, [self.sampling_box_shape[c] for c in self.axis_order]
+            )
+        except ValueError:
+            logger.error(
+                f"Index {idx} out of bounds for dataset {self} of length {len(self)}"
+            )
+            logger.warning(f"Returning closest index in bounds")
+            # TODO: This is a hacky temprorary fix. Need to figure out why this is happening
+            center = [self.sampling_box_shape[c] for c in self.axis_order]
         center = {
             c: center[i] * self.largest_voxel_sizes[c] + self.sampling_box[c][0]
             for i, c in enumerate(self.axis_order)