Apply suggestions from code review

Co-authored-by: Gigon Bae <gigony@gmail.com>

python/cucim/src/cucim/skimage/_shared/distance.py

@@ -40,12 +40,12 @@ def pdist_max_blockwise(
     requirement. The memory used at runtime will be proportional to
     ``coords_per_block**2``.
 
-    A block size of >= 2000 is recommended to overhead poor GPU resource usage
+    A block size of >= 2000 is recommended to avoid poor GPU resource usage
     and to reduce kernel launch overhead.
 
     Parameters
     ----------
-    coords : np.ndarray (num_points, ndim)
+    coords : numpy.ndarray or cupy.ndarray of shape (num_points, ndim)
         The coordinates to process.
     metric : str, optional
         Can be any metric supported by `scipy.spatial.distance.cdist`. The
@@ -54,7 +54,7 @@ def pdist_max_blockwise(
         Internally, calls to cdist will be made with subsets of coords where
         the subset size is (coords_per_block, ndim).
     compute_argmax : bool, optional
-        If True, the value of the coordate indices corresponding to the maxima
+        If True, the value of the cooridate indices corresponding to the maxima
         is returned as the second return Value. Otherwise that value will be
         ``None``.
     cdist_kwargs = dict, optional
@@ -97,7 +97,7 @@ def pdist_max_blockwise(
     if _distance_on_cpu:
         warnings.warn(
             "cuVS >= 25.02 or pylibraft < 24.12 must be installed to use "
-            "GPU-accelerated pairwaise distance computations. Falling back "
+            "GPU-accelerated pairwise distance computations. Falling back "
             "to SciPy-based CPU implementation."
         )
         xp = np
@@ -106,6 +106,14 @@ def pdist_max_blockwise(
         xp = cp
         coords = cp.asarray(coords)
 
+    if not isinstance(coords, (np.ndarray, cp.ndarray)):
+        raise TypeError("coords must be a numpy or cupy array")
+
+    if coords.ndim != 2:
+        raise ValueError(
+            f"coords must be a 2-dimensional array, got shape {coords.shape}"
+        )
+
     num_coords, _ = coords.shape
     if num_coords == 0:
         raise RuntimeError("No coordinates to process")