Implement flip

.github/workflows/array-api-tests.yml

@@ -96,7 +96,6 @@ jobs:
           # not implemented
           array_api_tests/test_array_object.py::test_setitem
           array_api_tests/test_array_object.py::test_setitem_masking
-          array_api_tests/test_manipulation_functions.py::test_flip
           array_api_tests/test_sorting_functions.py
           array_api_tests/test_statistical_functions.py::test_std
           array_api_tests/test_statistical_functions.py::test_var

api_status.md

@@ -59,7 +59,7 @@ This table shows which parts of the the [Array API](https://data-apis.org/array-
 |                          | `broadcast_to`      | :white_check_mark: |            |                              |
 |                          | `concat`            | :white_check_mark: |            |                              |
 |                          | `expand_dims`       | :white_check_mark: |            |                              |
-|                          | `flip`              | :x:                |            | Needs indexing with step=-1, [#114](https://github.com/cubed-dev/cubed/issues/114) |
+|                          | `flip`              | :white_check_mark: |            |                              |
 |                          | `permute_dims`      | :white_check_mark: |            |                              |
 |                          | `repeat`            | :x:                | 2023.12    |                              |
 |                          | `reshape`           | :white_check_mark: |            | Partial implementation       |

cubed/__init__.py

@@ -279,6 +279,7 @@
     broadcast_to,
     concat,
     expand_dims,
+    flip,
     moveaxis,
     permute_dims,
     reshape,
@@ -292,6 +293,7 @@
     "broadcast_to",
     "concat",
     "expand_dims",
+    "flip",
     "moveaxis",
     "permute_dims",
     "reshape",

cubed/array_api/__init__.py

@@ -221,6 +221,7 @@
     broadcast_to,
     concat,
     expand_dims,
+    flip,
     moveaxis,
     permute_dims,
     reshape,
@@ -234,6 +235,7 @@
     "broadcast_to",
     "concat",
     "expand_dims",
+    "flip",
     "moveaxis",
     "permute_dims",
     "reshape",

cubed/array_api/manipulation_functions.py

@@ -172,6 +172,50 @@ def flatten(x):
     return reshape(x, (-1,))
 
 
+def flip(x, /, *, axis=None):
+    if axis is None:
+        axis = tuple(range(x.ndim))  # all axes
+    if not isinstance(axis, tuple):
+        axis = (axis,)
+    axis = validate_axis(axis, x.ndim)
+    return map_direct(
+        _flip,
+        x,
+        shape=x.shape,
+        dtype=x.dtype,
+        chunks=x.chunks,
+        extra_projected_mem=x.chunkmem,
+        target_chunks=x.chunks,
+        axis=axis,
+    )
+
+
+def _flip(x, *arrays, target_chunks=None, axis=None, block_id=None):
+    array = arrays[0].zarray  # underlying Zarr array (or virtual array)
+    chunks = target_chunks
+
+    # produce a key that has slices (except for axis dimensions, which are replaced below)
+    idx = tuple(0 if i == axis else v for i, v in enumerate(block_id))
+    key = list(get_item(chunks, idx))
+
+    for ax in axis:
+        # determine the start and stop indexes for this block along the axis dimension
+        chunksize = to_chunksize(chunks)
+        start = block_id[ax] * chunksize[ax]
+        stop = start + x.shape[ax]
+
+        # flip start and stop
+        axis_len = array.shape[ax]
+        start, stop = axis_len - stop, axis_len - start
+
+        # replace with slice
+        key[ax] = slice(start, stop)
+
+    key = tuple(key)
+
+    return nxp.flip(array[key], axis=axis)
+
+
 def moveaxis(
     x,
     source,

cubed/tests/test_array_api.py

@@ -492,6 +492,31 @@ def test_expand_dims(spec, executor):
     assert_array_equal(b.compute(executor=executor), np.expand_dims([1, 2, 3], 0))
 
 
+@pytest.mark.parametrize(
+    "shape, chunks, axis",
+    [
+        ((10,), (4,), None),
+        ((10,), (4,), 0),
+        ((10, 7), (4, 3), None),
+        ((10, 7), (4, 3), 0),
+        ((10, 7), (4, 3), 1),
+        ((10, 7), (4, 3), (0, 1)),
+        ((10, 7), (4, 3), -1),
+    ],
+)
+def test_flip(executor, shape, chunks, axis):
+    x = np.random.randint(10, size=shape)
+    a = xp.asarray(x, chunks=chunks)
+    b = xp.flip(a, axis=axis)
+
+    assert b.chunks == a.chunks
+
+    assert_array_equal(
+        b.compute(executor=executor),
+        np.flip(x, axis=axis),
+    )
+
+
 def test_moveaxis(spec):
     a = xp.asarray([[1, 2, 3], [4, 5, 6], [7, 8, 9]], chunks=(2, 2), spec=spec)
     b = xp.moveaxis(a, [0, -1], [-1, 0])