improve error messages for split_multiple_shapes_into_blocks

bioimageio/core/block_meta.py

@@ -317,25 +317,34 @@ def split_multiple_shapes_into_blocks(
     strides: Optional[PerMember[PerAxis[int]]] = None,
     broadcast: bool = False,
 ) -> Tuple[TotalNumberOfBlocks, Iterable[PerMember[BlockMeta]]]:
-    assert not (
-        missing := [t for t in block_shapes if t not in shapes]
-    ), f"block shape specified for unknown tensors: {missing}"
+    if unknown_blocks := [t for t in block_shapes if t not in shapes]:
+        raise ValueError(
+            f"block shape specified for unknown tensors: {unknown_blocks}."
+        )
+
     if not block_shapes:
         block_shapes = shapes
 
-    assert broadcast or not (
-        missing := [t for t in shapes if t not in block_shapes]
-    ), f"no block shape specified for {missing} (set `broadcast` to True if these tensors should be repeated for each block)"
-    assert not (
-        missing := [t for t in halo if t not in block_shapes]
-    ), f"`halo` specified for tensors without block shape: {missing}"
+    if not broadcast and (
+        missing_blocks := [t for t in shapes if t not in block_shapes]
+    ):
+        raise ValueError(
+            f"no block shape specified for {missing_blocks}."
+            + " Set `broadcast` to True if these tensors should be repeated"
+            + " as a whole for each block."
+        )
+
+    if extra_halo := [t for t in halo if t not in block_shapes]:
+        raise ValueError(
+            f"`halo` specified for tensors without block shape: {extra_halo}."
+        )
 
     if strides is None:
         strides = {}
 
     assert not (
-        missing := [t for t in strides if t not in block_shapes]
-    ), f"`stride` specified for tensors without block shape: {missing}"
+        unknown_block := [t for t in strides if t not in block_shapes]
+    ), f"`stride` specified for tensors without block shape: {unknown_block}"
 
     blocks: Dict[MemberId, Iterable[BlockMeta]] = {}
     n_blocks: Dict[MemberId, TotalNumberOfBlocks] = {}
@@ -355,8 +364,9 @@ def split_multiple_shapes_into_blocks(
     if len(unique_n_blocks) == 2 and 1 in unique_n_blocks:
         if not broadcast:
             raise ValueError(
-                f"Mismatch for total number of blocks due to unsplit (single block) tensors: {n_blocks}."
-                + " Set `broadcast` to True if you want to repeat unsplit (single block) tensors."
+                "Mismatch for total number of blocks due to unsplit (single block)"
+                + f" tensors: {n_blocks}. Set `broadcast` to True if you want to"
+                + " repeat unsplit (single block) tensors."
             )
 
         blocks = {