Address review: add copy=False check, pass dtype directly to np.array

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: bendichter

lindi/LindiH5pyFile/LindiH5pyDataset.py

@@ -174,13 +174,14 @@ def _is_empty(self):
         return False
 
     def __array__(self, dtype=None, copy=None):
+        if copy is False:
+            raise ValueError(
+                "LindiH5pyDataset.__array__ received copy=False "
+                "but memory allocation cannot be avoided on read"
+            )
         if self._is_scalar:
-            arr = np.array(self[()])
-        else:
-            arr = np.array(self[:])
-        if dtype is not None:
-            arr = arr.astype(dtype)
-        return arr
+            return np.array(self[()], dtype=dtype)
+        return np.array(self[:], dtype=dtype)
 
     def __repr__(self):  # type: ignore
         return f"<{self.__class__.__name__}: {self.name}>"