[python] Use same default maxdomain between Python and R

apis/python/src/tiledbsoma/_dataframe.py

@@ -830,9 +830,8 @@ def _fill_out_slot_soma_domain(
         # Here the slot_domain isn't specified by the user; we're setting it.
         # The SOMA spec disallows negative soma_joinid.
         if index_column_name == SOMA_JOINID:
-            slot_domain = 2**63-1
-        else:
-            saturated_range = True
+            slot_domain = (0, 2**63 - 2)
+        saturated_range = True
     elif np.issubdtype(dtype, NPFloating):
         finfo = np.finfo(cast(NPFloating, dtype))
         slot_domain = finfo.min, finfo.max

apis/python/src/tiledbsoma/_sparse_nd_array.py

@@ -490,7 +490,7 @@ def _dim_capacity_and_extent(
         int64 is returned for the capacity.
         """
         if dim_shape is None:
-            dim_capacity = 2**63-1
+            dim_capacity = 2**63 - 1
             dim_extent = min(dim_capacity, create_options.dim_tile(dim_name, 2048))
             # Avoid core array-creation error since max must have room for one tile extent
             dim_capacity -= dim_extent

apis/python/tests/test_shape.py

@@ -126,16 +126,6 @@ def test_sparse_nd_array_basics(
         with tiledbsoma.SparseNDArray.open(uri) as snda:
             assert snda.shape == arg_shape
 
-        # Test resize too big
-        new_shape = tuple([4_000_000_000 for i in range(ndim)])
-        # TODO: check draft spec
-        # with pytest.raises(ValueError):
-        with pytest.raises(tiledbsoma.SOMAError):
-            with tiledbsoma.SparseNDArray.open(uri, "w") as snda:
-                snda.resize(new_shape)
-        with tiledbsoma.SparseNDArray.open(uri) as snda:
-            assert snda.shape == arg_shape
-
         # Test writes out of bounds
         with tiledbsoma.SparseNDArray.open(uri, "w") as snda:
             with pytest.raises(tiledbsoma.SOMAError):