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| author | bjnath <github@bigriver.xyz> | 2020-06-06 11:02:14 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-06-06 17:02:14 +0200 |
| commit | 9439b56f8762b8c9b48d2f9e54dfb467aaa2b3f9 (patch) | |
| tree | 2f373d4995ffec329f758c04e29447c456b02edb /numpy/lib/mixins.py | |
| parent | f1671076c80bd972421751f2d48186ee9ac808aa (diff) | |
| download | numpy-9439b56f8762b8c9b48d2f9e54dfb467aaa2b3f9.tar.gz | |
DOC: Fixes for 18 broken links (#16472)
* DOC: Fixes for 18 broken links
This, with PR #16465, should fix nearly all the remaining broken links
on the site. 4 or 5 others should be easy to fix and just
need attention from someone more knowledgeable -- will
open an issue. For release notes with dead links,
I could usually find links on archive.org for roughly contemporary
versions.
* DOC: Update to "Fixes for 18 broken links #16472"
* Obsolete links, previously commented out, now deleted:
https://github.com/numpy/numpy/pull/16472#discussion_r433928958
* Semantic markup for reference to Python class:
https://github.com/numpy/numpy/pull/16472#discussion_r433553928
* Missing :ref: in internal link:
https://github.com/numpy/numpy/pull/16472#discussion_r433554484
Not included: Resolution on using external/internal doc link in .py:
https://github.com/numpy/numpy/pull/16472#discussion_r433554824
* DOC: Add internal link for 'Fixes for 18 broken links' PR #16472
Making reference [1] an internal link in function_base.py => numpy.vectorize.html
* DOC: Redirect 2 link fixes in PR #16472
* governance.rst link reverted
* ununcs.rst `overridden` link goes where it was meant to
per https://github.com/numpy/numpy/pull/16472#pullrequestreview-424666070
Diffstat (limited to 'numpy/lib/mixins.py')
| -rw-r--r-- | numpy/lib/mixins.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/mixins.py b/numpy/lib/mixins.py index 50157069c..c81239f6b 100644 --- a/numpy/lib/mixins.py +++ b/numpy/lib/mixins.py @@ -68,7 +68,7 @@ class NDArrayOperatorsMixin: It is useful for writing classes that do not inherit from `numpy.ndarray`, but that should support arithmetic and numpy universal functions like arrays as described in `A Mechanism for Overriding Ufuncs - <../../neps/nep-0013-ufunc-overrides.html>`_. + <https://numpy.org/neps/nep-0013-ufunc-overrides.html>`_. As an trivial example, consider this implementation of an ``ArrayLike`` class that simply wraps a NumPy array and ensures that the result of any |