ENH: expand_dims delegation

src/array_api_extra/__init__.py

@@ -1,6 +1,6 @@
 """Extra array functions built on top of the array API standard."""
 
-from ._delegation import isclose, nan_to_num, one_hot, pad
+from ._delegation import expand_dims, isclose, nan_to_num, one_hot, pad
 from ._lib._at import at
 from ._lib._funcs import (
     apply_where,
@@ -9,7 +9,6 @@
     cov,
     create_diagonal,
     default_dtype,
-    expand_dims,
     kron,
     nunique,
     setdiff1d,

src/array_api_extra/_delegation.py

@@ -18,7 +18,95 @@
 from ._lib._utils._helpers import asarrays
 from ._lib._utils._typing import Array, DType
 
-__all__ = ["isclose", "nan_to_num", "one_hot", "pad"]
+__all__ = ["expand_dims", "isclose", "nan_to_num", "one_hot", "pad"]
+
+
+def expand_dims(
+    a: Array, /, *, axis: int | tuple[int, ...] = (0,), xp: ModuleType | None = None
+) -> Array:
+    """
+    Expand the shape of an array.
+
+    Insert (a) new axis/axes that will appear at the position(s) specified by
+    `axis` in the expanded array shape.
+
+    This is ``xp.expand_dims`` for `axis` an int *or a tuple of ints*.
+    Roughly equivalent to ``numpy.expand_dims`` for NumPy arrays.
+
+    Parameters
+    ----------
+    a : array
+        Array to have its shape expanded.
+    axis : int or tuple of ints, optional
+        Position(s) in the expanded axes where the new axis (or axes) is/are placed.
+        If multiple positions are provided, they should be unique (note that a position
+        given by a positive index could also be referred to by a negative index -
+        that will also result in an error).
+        Default: ``(0,)``.
+    xp : array_namespace, optional
+        The standard-compatible namespace for `a`. Default: infer.
+
+    Returns
+    -------
+    array
+        `a` with an expanded shape.
+
+    Examples
+    --------
+    >>> import array_api_strict as xp
+    >>> import array_api_extra as xpx
+    >>> x = xp.asarray([1, 2])
+    >>> x.shape
+    (2,)
+
+    The following is equivalent to ``x[xp.newaxis, :]`` or ``x[xp.newaxis]``:
+
+    >>> y = xpx.expand_dims(x, axis=0, xp=xp)
+    >>> y
+    Array([[1, 2]], dtype=array_api_strict.int64)
+    >>> y.shape
+    (1, 2)
+
+    The following is equivalent to ``x[:, xp.newaxis]``:
+
+    >>> y = xpx.expand_dims(x, axis=1, xp=xp)
+    >>> y
+    Array([[1],
+           [2]], dtype=array_api_strict.int64)
+    >>> y.shape
+    (2, 1)
+
+    ``axis`` may also be a tuple:
+
+    >>> y = xpx.expand_dims(x, axis=(0, 1), xp=xp)
+    >>> y
+    Array([[[1, 2]]], dtype=array_api_strict.int64)
+
+    >>> y = xpx.expand_dims(x, axis=(2, 0), xp=xp)
+    >>> y
+    Array([[[1],
+            [2]]], dtype=array_api_strict.int64)
+    """
+    if xp is None:
+        xp = array_namespace(a)
+
+    if not isinstance(axis, tuple):
+        axis = (axis,)
+    ndim = a.ndim + len(axis)
+    if axis != () and (min(axis) < -ndim or max(axis) >= ndim):
+        err_msg = (
+            f"a provided axis position is out of bounds for array of dimension {a.ndim}"
+        )
+        raise IndexError(err_msg)
+    axis = tuple(dim % ndim for dim in axis)
+    if len(set(axis)) != len(axis):
+        err_msg = "Duplicate dimensions specified in `axis`."
+        raise ValueError(err_msg)
+
+    if is_numpy_namespace(xp) or is_dask_namespace(xp) or is_jax_namespace(xp):
+        return xp.expand_dims(a, axis=axis)
+
+    return _funcs.expand_dims(a, axis=axis, xp=xp)
 
 
 def isclose(

src/array_api_extra/_lib/_funcs.py

@@ -493,87 +493,9 @@ def default_dtype(
         raise ValueError(msg) from e
 
 
-def expand_dims(
-    a: Array, /, *, axis: int | tuple[int, ...] = (0,), xp: ModuleType | None = None
-) -> Array:
-    """
-    Expand the shape of an array.
-
-    Insert (a) new axis/axes that will appear at the position(s) specified by
-    `axis` in the expanded array shape.
-
-    This is ``xp.expand_dims`` for `axis` an int *or a tuple of ints*.
-    Roughly equivalent to ``numpy.expand_dims`` for NumPy arrays.
-
-    Parameters
-    ----------
-    a : array
-        Array to have its shape expanded.
-    axis : int or tuple of ints, optional
-        Position(s) in the expanded axes where the new axis (or axes) is/are placed.
-        If multiple positions are provided, they should be unique (note that a position
-        given by a positive index could also be referred to by a negative index -
-        that will also result in an error).
-        Default: ``(0,)``.
-    xp : array_namespace, optional
-        The standard-compatible namespace for `a`. Default: infer.
-
-    Returns
-    -------
-    array
-        `a` with an expanded shape.
-
-    Examples
-    --------
-    >>> import array_api_strict as xp
-    >>> import array_api_extra as xpx
-    >>> x = xp.asarray([1, 2])
-    >>> x.shape
-    (2,)
-
-    The following is equivalent to ``x[xp.newaxis, :]`` or ``x[xp.newaxis]``:
-
-    >>> y = xpx.expand_dims(x, axis=0, xp=xp)
-    >>> y
-    Array([[1, 2]], dtype=array_api_strict.int64)
-    >>> y.shape
-    (1, 2)
-
-    The following is equivalent to ``x[:, xp.newaxis]``:
-
-    >>> y = xpx.expand_dims(x, axis=1, xp=xp)
-    >>> y
-    Array([[1],
-           [2]], dtype=array_api_strict.int64)
-    >>> y.shape
-    (2, 1)
-
-    ``axis`` may also be a tuple:
-
-    >>> y = xpx.expand_dims(x, axis=(0, 1), xp=xp)
-    >>> y
-    Array([[[1, 2]]], dtype=array_api_strict.int64)
-
-    >>> y = xpx.expand_dims(x, axis=(2, 0), xp=xp)
-    >>> y
-    Array([[[1],
-            [2]]], dtype=array_api_strict.int64)
-    """
-    if xp is None:
-        xp = array_namespace(a)
-
-    if not isinstance(axis, tuple):
-        axis = (axis,)
-    ndim = a.ndim + len(axis)
-    if axis != () and (min(axis) < -ndim or max(axis) >= ndim):
-        err_msg = (
-            f"a provided axis position is out of bounds for array of dimension {a.ndim}"
-        )
-        raise IndexError(err_msg)
-    axis = tuple(dim % ndim for dim in axis)
-    if len(set(axis)) != len(axis):
-        err_msg = "Duplicate dimensions specified in `axis`."
-        raise ValueError(err_msg)
+def expand_dims(a: Array, /, *, axis: tuple[int, ...] = (0,), xp: ModuleType) -> Array:
+    # numpydoc ignore=PR01,RT01
+    """See docstring in array_api_extra._delegation."""
     for i in sorted(axis):
         a = xp.expand_dims(a, axis=i)
     return a