Add type checks to batch size validators (#36)

* Add type checks to batch size validators

Author: jp-dark

src/tiledbsoma_ml/dataset.py

@@ -11,7 +11,7 @@
 import torch
 from attr import evolve
 from attrs import define, field
-from attrs.validators import gt
+from attrs.validators import and_, gt, instance_of
 from tiledbsoma import ExperimentAxisQuery
 from torch.utils.data import IterableDataset
 
@@ -117,9 +117,11 @@ class ExperimentDataset(IterableDataset[MiniBatch]):  # type: ignore[misc]
     """Names of ``obs`` columns to return."""
 
     # Configuration fields with defaults
-    batch_size: int = field(default=1, validator=gt(0))
+    batch_size: int = field(default=1, validator=and_(instance_of(int), gt(0)))
     """Number of rows of ``X`` and ``obs`` data to yield in each |MiniBatch|."""
-    io_batch_size: int = field(default=DEFAULT_IO_BATCH_SIZE, validator=gt(0))
+    io_batch_size: int = field(
+        default=DEFAULT_IO_BATCH_SIZE, validator=and_(instance_of(int), gt(0))
+    )
     """Number of ``obs``/``X`` rows to fetch together, when reading from the provided |ExperimentAxisQuery|."""
     shuffle: bool = field(default=True)
     """Whether to shuffle the ``obs`` and ``X`` data being returned."""