diff --git a/ndsl/stencils/testing/translate.py b/ndsl/stencils/testing/translate.py
index f45b1f47..8be579dc 100644
--- a/ndsl/stencils/testing/translate.py
+++ b/ndsl/stencils/testing/translate.py
@@ -32,7 +32,7 @@ def pad_field_in_j(field, nj: int, backend: Backend):
 def as_numpy(
     value: dict[str, Any] | Quantity | np.ndarray,
 ) -> np.ndarray | dict[str, np.ndarray]:
-    def _convert(value: Quantity | np.ndarray) -> np.ndarray:
+    def _convert(value: Any) -> np.ndarray:
         if isinstance(value, Quantity):
             return value.data
         elif isinstance(value, np.ndarray):
@@ -74,10 +74,13 @@ def __init__(
         self.out_vars: dict[str, Any] = {}
         self.write_vars: list = []
         self.grid = grid
-        self.maxshape: tuple[int, ...] = grid.domain_shape_full(add=(1, 1, 1))
         self.ordered_input_vars = None
         self.ignore_near_zero_errors: dict[str, Any] = {}
         self.skip_test = skip_test
+        if self.stencil_factory.backend.is_fortran_aligned():
+            self.maxshape = self.grid.domain_shape_full()
+        else:
+            self.maxshape = self.grid.domain_shape_full(add=(1, 1, 1))
 
     def extra_data_load(self, data_loader: DataLoader):
         pass
diff --git a/ndsl/xumpy/alloc.py b/ndsl/xumpy/alloc.py
index 77be4cac..ca5d2092 100644
--- a/ndsl/xumpy/alloc.py
+++ b/ndsl/xumpy/alloc.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 import numpy.typing as npt
-from numpy._typing import _SupportsDType
 
 from ndsl.config import Backend
 from ndsl.dsl.typing import Float
@@ -14,12 +13,6 @@
 
 # Taking a page from cupy's playbook to have tuple & ndarray
 _ShapeLike = SupportsIndex | Sequence[SupportsIndex]
-_DTypeLikeFloat32 = (
-    np.dtype[np.float32] | _SupportsDType[np.dtype[np.float32]] | type[np.float32]
-)
-_DTypeLikeFloat64 = (
-    np.dtype[np.float64] | _SupportsDType[np.dtype[np.float64]] | type[np.float64]
-)
 
 
 def zeros(
@@ -55,7 +48,7 @@ def empty(
 def full(
     shape: _ShapeLike,
     backend: Backend,
-    value: np.ScalarType,
+    value: npt.DTypeLike,
     dtype: npt.DTypeLike = Float,
 ) -> np.ndarray | cp.ndarray:
     if backend.is_gpu_backend():
@@ -66,7 +59,7 @@ def full(
 def random(
     shape: _ShapeLike,
     backend: Backend,
-    dtype: _DTypeLikeFloat32 | _DTypeLikeFloat64 = Float,  # type: ignore [valid-type]
+    dtype: np.floating = Float,
 ) -> np.ndarray | cp.ndarray:
     if backend.is_gpu_backend():
         gen = cp.random.default_rng()