Skip to content

docs: document variadic parameters with leading star #3032

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
antonwolfy wants to merge 1 commit into
base: master
Choose a base branch
from
+4 −4
Open

docs: document variadic parameters with leading star #3032

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion dpnp/dpnp_iface.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -261,7 +261,7 @@ def check_supported_arrays_type(*arrays, scalar_type=False, all_scalars=False):

Parameters
----------
arrays : {dpnp.ndarray, usm_ndarray}
*arrays : {dpnp.ndarray, usm_ndarray}
Input arrays to check for supported types.
scalar_type : bool, optional
A scalar type is also considered as supported if flag is ``True``.
Expand Down
4 changes: 2 additions & 2 deletions dpnp/dpnp_iface_functional.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -88,9 +88,9 @@ def apply_along_axis(func1d, axis, arr, *args, **kwargs):
Axis along which `arr` is sliced.
arr : {dpnp.ndarray, usm_ndarray} (Ni..., M, Nk...)
Input array.
args : any
*args : any
Additional arguments to `func1d`.
kwargs : any
**kwargs : any
Additional named arguments to `func1d`.

Returns
Expand Down
2 changes: 1 addition & 1 deletion dpnp/dpnp_utils/dpnp_utils_linearalgebra.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ def _compute_res_dtype(*arrays, dtype=None, out=None, casting="no"):

Parameters
----------
arrays : {dpnp.ndarray, usm_ndarray}
*arrays : {dpnp.ndarray, usm_ndarray}
Input arrays.
dtype : dtype
If not ``None`` and `out` is not defined, data type of the output array.
Expand Down
Loading