Accept tuple value for out keyword in ufuncs

CHANGELOG.md

@@ -33,6 +33,7 @@ Also, that release drops support for Python 3.9, making Python 3.10 the minimum
 * Added the missing positional-only and keyword-only parameter markers to bring the ufunc signatures into alignment with NumPy [#2660](https://github.com/IntelPython/dpnp/pull/2660)
 * Redesigned `dpnp.modf` function to be a part of `ufunc` and `vm` pybind11 extensions [#2654](https://github.com/IntelPython/dpnp/pull/2654)
 * Refactored `dpnp.fft` and `dpnp.random` submodules by removing wildcard imports and defining explicit public exports [#2649](https://github.com/IntelPython/dpnp/pull/2649)
+* Added support for the `out` keyword to accept a tuple, bringing ufunc signatures into alignment with those in NumPy [#2664](https://github.com/IntelPython/dpnp/pull/2664)
 
 ### Deprecated
 

dpnp/dpnp_algo/dpnp_elementwise_common.py

@@ -199,13 +199,25 @@ def __call__(
         if dtype is not None:
             x_usm = dpt.astype(x_usm, dtype, copy=False)
 
+        out = self._unpack_out_kw(out)
         out_usm = None if out is None else dpnp.get_usm_ndarray(out)
-        res_usm = super().__call__(x_usm, out=out_usm, order=order)
 
+        res_usm = super().__call__(x_usm, out=out_usm, order=order)
         if out is not None and isinstance(out, dpnp_array):
             return out
         return dpnp_array._create_from_usm_ndarray(res_usm)
 
+    def _unpack_out_kw(self, out):
+        """Unpack `out` keyword if passed as a tuple."""
+
+        if isinstance(out, tuple):
+            if len(out) != self.nout:
+                raise ValueError(
+                    "'out' tuple must have exactly one entry per ufunc output"
+                )
+            return out[0]
+        return out
+
 
 class DPNPUnaryTwoOutputsFunc(UnaryElementwiseFunc):
     """
@@ -361,7 +373,7 @@ def __call__(
         orig_out, out = list(out), list(out)
         res_dts = [res1_dt, res2_dt]
 
-        for i in range(2):
+        for i in range(self.nout):
             if out[i] is None:
                 continue
 
@@ -419,7 +431,7 @@ def __call__(
             dep_evs = copy_ev
 
         # Allocate a buffer for the output arrays if needed
-        for i in range(2):
+        for i in range(self.nout):
             if out[i] is None:
                 res_dt = res_dts[i]
                 if order == "K":
@@ -438,7 +450,7 @@ def __call__(
         )
         _manager.add_event_pair(ht_unary_ev, unary_ev)
 
-        for i in range(2):
+        for i in range(self.nout):
             orig_res, res = orig_out[i], out[i]
             if not (orig_res is None or orig_res is res):
                 # Copy the out data from temporary buffer to original memory
@@ -606,6 +618,13 @@ def __call__(
 
         x1_usm = dpnp.get_usm_ndarray_or_scalar(x1)
         x2_usm = dpnp.get_usm_ndarray_or_scalar(x2)
+
+        if isinstance(out, tuple):
+            if len(out) != self.nout:
+                raise ValueError(
+                    "'out' tuple must have exactly one entry per ufunc output"
+                )
+            out = out[0]
         out_usm = None if out is None else dpnp.get_usm_ndarray(out)
 
         if (
@@ -806,15 +825,22 @@ def __call__(self, x, /, out=None, *, order="K"):
             pass  # pass to raise error in main implementation
         elif dpnp.issubdtype(x.dtype, dpnp.inexact):
             pass  # for inexact types, pass to calculate in the backend
-        elif out is not None and not dpnp.is_supported_array_type(out):
+        elif not (
+            out is None
+            or isinstance(out, tuple)
+            or dpnp.is_supported_array_type(out)
+        ):
             pass  # pass to raise error in main implementation
-        elif out is not None and out.dtype != x.dtype:
+        elif not (
+            out is None or isinstance(out, tuple) or out.dtype == x.dtype
+        ):
             # passing will raise an error but with incorrect needed dtype
             raise ValueError(
                 f"Output array of type {x.dtype} is needed, got {out.dtype}"
             )
         else:
             # for exact types, return the input
+            out = self._unpack_out_kw(out)
             if out is None:
                 return dpnp.copy(x, order=order)
 
@@ -919,6 +945,7 @@ def __init__(
     def __call__(self, x, /, decimals=0, out=None, *, dtype=None):
         if decimals != 0:
             x_usm = dpnp.get_usm_ndarray(x)
+            out = self._unpack_out_kw(out)
             out_usm = None if out is None else dpnp.get_usm_ndarray(out)
 
             if dpnp.issubdtype(x_usm.dtype, dpnp.integer):

dpnp/dpnp_iface_bitwise.py

@@ -144,9 +144,11 @@ def binary_repr(num, width=None):
     First input array, expected to have an integer or boolean data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also expected to have an integer or boolean data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -233,9 +235,11 @@ def binary_repr(num, width=None):
 ----------
 x : {dpnp.ndarray, usm_ndarray}
     Input array, expected to have an integer data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -290,9 +294,11 @@ def binary_repr(num, width=None):
     First input array, expected to have an integer or boolean data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also expected to have an integer or boolean data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -374,9 +380,11 @@ def binary_repr(num, width=None):
     First input array, expected to have an integer or boolean data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also expected to have an integer or boolean data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -460,9 +468,11 @@ def binary_repr(num, width=None):
 ----------
 x : {dpnp.ndarray, usm_ndarray}
     Input array, expected to have an integer or boolean data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -544,9 +554,11 @@ def binary_repr(num, width=None):
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also expected to have an integer data type.
     Each element must be greater than or equal to ``0``.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -627,9 +639,11 @@ def binary_repr(num, width=None):
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also expected to have an integer data type.
     Each element must be greater than or equal to ``0``.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional

dpnp/dpnp_iface_logic.py

@@ -624,9 +624,11 @@ def array_equiv(a1, a2):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
-    Array have the correct shape and the expected data type.
+    Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -704,9 +706,11 @@ def array_equiv(a1, a2):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -778,9 +782,11 @@ def array_equiv(a1, a2):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1066,9 +1072,11 @@ def iscomplexobj(x):
 ----------
 x : {dpnp.ndarray, usm_ndarray}
     Input array, may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1198,9 +1206,11 @@ def isfortran(a):
 ----------
 x : {dpnp.ndarray, usm_ndarray}
     Input array, may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1256,9 +1266,11 @@ def isfortran(a):
 ----------
 x : {dpnp.ndarray, usm_ndarray}
     Input array, may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1593,9 +1605,11 @@ def isscalar(element):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1667,9 +1681,11 @@ def isscalar(element):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1740,9 +1756,11 @@ def isscalar(element):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1813,9 +1831,11 @@ def isscalar(element):
 ----------
 x : {dpnp.ndarray, usm_ndarray}
     Input array, may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1879,9 +1899,11 @@ def isscalar(element):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -1955,9 +1977,11 @@ def isscalar(element):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional
@@ -2029,9 +2053,11 @@ def isscalar(element):
     First input array, may have any data type.
 x2 : {dpnp.ndarray, usm_ndarray, scalar}
     Second input array, also may have any data type.
-out : {None, dpnp.ndarray, usm_ndarray}, optional
+out : {None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.
+    A tuple (possible only as a keyword argument) must have length equal to the
+    number of outputs.
 
     Default: ``None``.
 order : {None, "C", "F", "A", "K"}, optional