Merge pull request #20556 from melissawm/fix-ml-links

DOC: Update links to mailing list on python.org

3 files changed, 6 insertions, 6 deletions

diff --git a/doc/neps/nep-0031-uarray.rst b/doc/neps/nep-0031-uarray.rst
index b4ec94077..b746c267d 100644
--- a/doc/neps/nep-0031-uarray.rst
+++ b/doc/neps/nep-0031-uarray.rst
@@ -302,7 +302,7 @@ This is different from monkeypatching in a few different ways:
   so there is at least the loose sense of an API contract. Monkeypatching
   does not provide this ability.
 * There is the ability of locally switching the backend.
-* It has been `suggested <http://numpy-discussion.10968.n7.nabble.com/NEP-31-Context-local-and-global-overrides-of-the-NumPy-API-tp47452p47472.html>`_
+* It has been `suggested <https://mail.python.org/archives/list/numpy-discussion@python.org/message/PS7EN3CRT6XERNTCN56MAYOXFFFEC55G/>`_
   that the reason that 1.17 hasn't landed in the Anaconda defaults channel is
   due to the incompatibility between monkeypatching and ``__array_function__``,
   as monkeypatching would bypass the protocol completely.
@@ -640,9 +640,9 @@ References and Footnotes
 
 .. [4] NEP 13 — A Mechanism for Overriding Ufuncs: https://numpy.org/neps/nep-0013-ufunc-overrides.html
 
-.. [5] Reply to Adding to the non-dispatched implementation of NumPy methods: http://numpy-discussion.10968.n7.nabble.com/Adding-to-the-non-dispatched-implementation-of-NumPy-methods-tp46816p46874.html
+.. [5] Reply to Adding to the non-dispatched implementation of NumPy methods: https://mail.python.org/archives/list/numpy-discussion@python.org/thread/5GUDMALWDIRHITG5YUOCV343J66QSX3U/#5GUDMALWDIRHITG5YUOCV343J66QSX3U
 
-.. [6] Custom Dtype/Units discussion: http://numpy-discussion.10968.n7.nabble.com/Custom-Dtype-Units-discussion-td43262.html
+.. [6] Custom Dtype/Units discussion: https://mail.python.org/archives/list/numpy-discussion@python.org/thread/RZYCVT6C3F7UDV6NA6FEV4MC5FKS6RDA/#RZYCVT6C3F7UDV6NA6FEV4MC5FKS6RDA
 
 .. [7] The epic dtype cleanup plan: https://github.com/numpy/numpy/issues/2899
 
diff --git a/doc/neps/nep-0038-SIMD-optimizations.rst b/doc/neps/nep-0038-SIMD-optimizations.rst
index 927228447..2123c4f95 100644
--- a/doc/neps/nep-0038-SIMD-optimizations.rst
+++ b/doc/neps/nep-0038-SIMD-optimizations.rst
@@ -8,7 +8,7 @@ NEP 38 — Using SIMD optimization instructions for performance
 :Status: Accepted
 :Type: Standards
 :Created: 2019-11-25
-:Resolution: http://numpy-discussion.10968.n7.nabble.com/NEP-38-Universal-SIMD-intrinsics-td47854.html
+:Resolution: https://mail.python.org/archives/list/numpy-discussion@python.org/thread/PVWJ74UVBRZ5ZWF6MDU7EUSJXVNILAQB/#PVWJ74UVBRZ5ZWF6MDU7EUSJXVNILAQB
 
 
 Abstract
diff --git a/doc/neps/nep-0049.rst b/doc/neps/nep-0049.rst
index 3bd1d102c..0f0fd23c9 100644
--- a/doc/neps/nep-0049.rst
+++ b/doc/neps/nep-0049.rst
@@ -55,8 +55,8 @@ is to create a flexible enough interface without burdening normative users.
 .. _`issue 5312`: https://github.com/numpy/numpy/issues/5312
 .. _`from 2017`: https://github.com/numpy/numpy/issues/5312#issuecomment-315234656
 .. _`in 2005`: https://numpy-discussion.scipy.narkive.com/MvmMkJcK/numpy-arrays-data-allocation-and-simd-alignement
-.. _`here`: http://numpy-discussion.10968.n7.nabble.com/Aligned-configurable-memory-allocation-td39712.html
-.. _`and here`: http://numpy-discussion.10968.n7.nabble.com/Numpy-s-policy-for-releasing-memory-td1533.html
+.. _`here`: https://mail.python.org/archives/list/numpy-discussion@python.org/thread/YPC5BGPUMKT2MLBP6O3FMPC35LFM2CCH/#YPC5BGPUMKT2MLBP6O3FMPC35LFM2CCH
+.. _`and here`: https://mail.python.org/archives/list/numpy-discussion@python.org/thread/IQK3EPIIRE3V4BPNAMJ2ZST3NUG2MK2A/#IQK3EPIIRE3V4BPNAMJ2ZST3NUG2MK2A
 .. _`issue 14177`: https://github.com/numpy/numpy/issues/14177
 .. _`filprofiler`: https://github.com/pythonspeed/filprofiler/blob/master/design/allocator-overrides.md
 .. _`electric fence`: https://github.com/boundarydevices/efence