Add support for tiling an array to the specification

PR-URL: 	#692
Co-authored-by: Oleksandr Pavlyk <[email protected]>

spec/draft/API_specification/manipulation_functions.rst

@@ -29,4 +29,5 @@ Objects in API
    roll
    squeeze
    stack
+   tile
    unstack

src/array_api_stubs/_draft/manipulation_functions.py

@@ -10,6 +10,7 @@
     "roll",
     "squeeze",
     "stack",
+    "tile",
     "unstack",
 ]
 
@@ -257,6 +258,30 @@ def stack(arrays: Union[Tuple[array, ...], List[array]], /, *, axis: int = 0) ->
     """
 
 
+def tile(x: array, repetitions: Tuple[int, ...], /):
+    """
+    Constructs an array by tiling an input array.
+
+    Parameters
+    ----------
+    x: array
+        input array.
+    repetitions: Tuple[int, ...]
+        number of repetitions along each axis (dimension).
+
+        Let ``N = len(x.shape)`` and ``M = len(repetitions)``.
+
+        If ``N > M``, the function must prepend ones until all axes (dimensions) are specified (e.g., if ``x`` has shape ``(8,6,4,2)`` and ``repetitions`` is the tuple ``(3,3)``, then ``repetitions`` must be treated as ``(1,1,3,3)``).
+
+        If ``N < M``, the function must prepend singleton axes (dimensions) to ``x`` until ``x`` has as many axes (dimensions) as ``repetitions`` specifies (e.g., if ``x`` has shape ``(4,2)`` and ``repetitions`` is the tuple ``(3,3,3,3)``, then ``x`` must be treated as if it has shape ``(1,1,4,2)``).
+
+    Returns
+    -------
+    out: array
+        a tiled output array. The returned array must have the same data type as ``x`` and must have a rank (i.e., number of dimensions) equal to ``max(N, M)``. If ``S`` is the shape of the tiled array after prepending singleton dimensions (if necessary) and ``r`` is the tuple of repetitions after prepending ones (if necessary), then the number of elements along each axis (dimension) must satisfy ``S[i]*r[i]``, where ``i`` refers to the ``i`` th axis (dimension).
+    """
+
+
 def unstack(x: array, /, *, axis: int = 0) -> Tuple[array, ...]:
     """
     Splits an array in a sequence of arrays along the given axis.