Rishav Kundu via Python-ideas writes:

 > Consider the monotonic clock defined in pytime.c. Whether or not it
 > tracks time across system suspend is implementation-defined (and
 > not documented either). PEP 418 [1] has details along with the raw
 > system APIs used.
 > 
 > We could introduce two new monotonic clocks that distinguish
 > between whether they track across system suspend or not. These
 > clocks exist on at least Windows, macOS, and Linux.

Which clocks exist on all three platforms: tracking, non-tracking,
both?

What are some use cases for tracking that can't be done with a
non-tracking clock?  What are some use cases for non-tracking clocks
that can't be done with a tracking clock?  The point is, "do we really
need both, or can we just add the useful one for those who need it
when it exists?"  Why can't this be done in a separate extension
module on PyPI, distributed as wheels for platforms that support it,
for users who need it?[1]  If it is likely that non-core developers
would create buggy implementations so it's worth having a "canonical"
in-stdlib implementation, explain why (to the extent that it makes
that claim plausible; you can't "prove" something like this and nobody
expects you to, it's always a judgment call by the reviewers).

 > P.S.: This is my first time submitting to the Python mailing
 > lists. Suggestions for improvement are appreciated :)

See questions above. :-)  Nothing stops people from adding the facility
as an extension module or a forked stdlib.  So you need to explain why
this needs to be in *every* Python, imposing additional development,
documentation, and maintenance burden on an overstretched core
developer community.  Slight though such burden may be, it needs to be
justified by a fairly large "multiplier" of convenience to the
community of developers-using-Python -- the developers-of-Python have
plenty of alternative tasks that have "large" multipliers.


Footnotes: 
[1]  Typically this would be answered either "a large fraction of
users need it" for values of "large" > 1% ;-), or "there are
industrial use cases where it is extremely difficult to get an
extension module through enterprise vetting processes".
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