take note

doc/source/whatsnew/v0.24.0.txt

@@ -343,6 +343,7 @@ changes were made:
 - ``SparseDataFrame.combine`` and ``DataFrame.combine_first`` no longer supports combining a spares column with a dense column while preserving
  the sparse subtype. The result will be an object-dtype SparseArray.
 - Concatenating a SparseSeries and a dense series now returns a Series with sparse values.
+- ``SparseArray.take`` no longer accepts the ``out`` and ``mode`` parameters (previously, this raised if they were specified).
 
 
 Some new warnings are issued for operations that require or are likely to materialize a large dense array:

pandas/tests/sparse/test_array.py

@@ -230,20 +230,6 @@ def test_bad_take(self):
  tm.assert_raises_regex(
  IndexError, "bounds", lambda: self.arr.take([11]))
 
- @pytest.mark.xfail(reason="don't want to change signature", strict=True)
- def test_take_invalid_kwargs(self):
- msg = r"take\(\) got an unexpected keyword argument 'foo'"
- tm.assert_raises_regex(TypeError, msg, self.arr.take,
- [2, 3], foo=2)
-
- msg = "the 'out' parameter is not supported"
- tm.assert_raises_regex(ValueError, msg, self.arr.take,
- [2, 3], out=self.arr)
-
- msg = "the 'mode' parameter is not supported"
- tm.assert_raises_regex(ValueError, msg, self.arr.take,
- [2, 3], mode='clip')
-
  def test_take_filling(self):
  # similar tests as GH 12631
  sparse = SparseArray([np.nan, np.nan, 1, np.nan, 4])