Added a copy method for SparseNdarrays.

Author: LTLA

src/delayedarray/SparseNdarray.py

@@ -2,6 +2,7 @@
 from typing import Callable, List, Optional, Sequence, Tuple, Union
 from collections import namedtuple
 import numpy
+import copy
 
 from ._isometric import translate_ufunc_to_op_simple, translate_ufunc_to_op_with_args, ISOMETRIC_OP_WITH_ARGS, _choose_operator, _infer_along_with_args
 from ._subset import _spawn_indices, _getitem_subset_preserves_dimensions, _getitem_subset_discards_dimensions, _repr_subset
@@ -777,6 +778,30 @@ def T(self) -> "SparseNdarray":
         return _transpose_SparseNdarray(self, axes)
 
 
+    # Other stuff
+    def __copy__(self) -> "SparseNdarray":
+        """
+        Returns:
+            A deep copy of this object.
+        """
+        return SparseNdarray(
+            shape=self._shape, 
+            contents=copy.deepcopy(self._contents), 
+            index_dtype=self._index_dtype, 
+            dtype=self._dtype, 
+            is_masked=self._is_masked, 
+            check=False
+        )
+
+
+    def copy(self) -> "SparseNdarray":
+        """
+        Returns:
+            A deep copy of this object.
+        """
+        return self.__copy__()
+
+
 #########################################################
 #########################################################
 

tests/test_SparseNdarray.py

@@ -126,6 +126,10 @@ def test_SparseNdarray_check(mask_rate):
     assert delayedarray.is_masked(y) == (mask_rate > 0)
     assert delayedarray.is_masked(y) == y.is_masked
 
+    clone = copy.copy(y)
+    clone.contents[0] = "FOOBAR"
+    assert y.contents[0] != "FOOBAR"
+
     with pytest.raises(ValueError, match="match the extent"):
         y = delayedarray.SparseNdarray((10, 15, 1), contents)