@@ -1459,35 +1459,54 @@ def nonzero(self):
14591459
14601460 def partition (self , / , kth , axis = - 1 , kind = "introselect" , order = None ):
14611461 """
1462- Return a partitioned copy of an array.
1462+ Partially sorts the elements in the array in such a way that the value
1463+ of the element in k-th position is in the position it would be in a
1464+ sorted array. In the output array, all elements smaller than the k-th
1465+ element are located to the left of this element and all equal or
1466+ greater are located to its right. The ordering of the elements in the
1467+ two partitions on the either side of the k-th element in the output
1468+ array is undefined.
14631469
1464- Rearranges the elements in the array in such a way that the value of
1465- the element in `kth` position is in the position it would be in
1466- a sorted array.
1470+ Refer to `dpnp.partition` for full documentation.
14671471
1468- All elements smaller than the `kth` element are moved before this
1469- element and all equal or greater are moved behind it. The ordering
1470- of the elements in the two partitions is undefined.
1472+ kth : {int, sequence of ints}
1473+ Element index to partition by. The kth element value will be in its
1474+ final sorted position and all smaller elements will be moved before
1475+ it and all equal or greater elements behind it.
1476+ The order of all elements in the partitions is undefined. If
1477+ provided with a sequence of kth it will partition all elements
1478+ indexed by kth of them into their sorted position at once.
1479+ axis : int, optional
1480+ Axis along which to sort. The default is ``-1``, which means sort
1481+ along the the last axis.
14711482
1472- Refer to `dpnp.partition` for full documentation .
1483+ Default: ``-1`` .
14731484
14741485 See Also
14751486 --------
14761487 :obj:`dpnp.partition` : Return a partitioned copy of an array.
1488+ :obj:`dpnp.argpartition` : Indirect partition.
1489+ :obj:`dpnp.sort` : Full sort.
14771490
14781491 Examples
14791492 --------
14801493 >>> import dpnp as np
14811494 >>> a = np.array([3, 4, 2, 1])
14821495 >>> a.partition(3)
14831496 >>> a
1497+ array([1, 2, 3, 4]) # may vary
1498+
1499+ >>> a.partition((1, 3))
1500+ >>> a
14841501 array([1, 2, 3, 4])
14851502
14861503 """
14871504
1488- self ._array_obj = dpnp .partition (
1489- self , kth , axis = axis , kind = kind , order = order
1490- ).get_array ()
1505+ if axis is None :
1506+ raise TypeError (
1507+ "'NoneType' object cannot be interpreted as an integer"
1508+ )
1509+ self [...] = dpnp .partition (self , kth , axis = axis , kind = kind , order = order )
14911510
14921511 def prod (
14931512 self ,
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