Hi, all.
I implemented my new idea. (still wip)
https://github.com/methane/cpython/pull/3/files
Memory usage when building Python doc with sphinx are:
1) master (shared key)
176MB
2) compact (w/ shared key)
158MB
3) compact (w/o shared key)
166MB
4) compact & interned (new)
160MB
Memory usag
I've checked time and maxrss of sphinx-build.
In case of sphinx,
## master
$ rm -rf build/
$ /usr/bin/time ~/local/python-master/bin/sphinx-build -b html -d
build/doctrees -D latex_paper_size= . build/html -QN
71.76user 0.27system 1:12.06elapsed 99%CPU (0avgtext+0avgdata
176248maxresident)k
8
Hi, Mark. Thank you for reply.
On Thu, Jun 23, 2016 at 10:30 AM, Mark Shannon wrote:
> Hi all,
>
> I think we need some more data before going any further reimplementing
> dicts.
>
> What I would like to know is, across a set of Python programs (ideally a
> representative set), what the proporti
> Memory usage
>
>
> on amd64 arch.
>
> key-sharing dict:
>
> * 96 bytes for ~3 items
> * 128 bytes for 4~5 items.
Note: There are another shared key.
* 128 bytes for ~3 items
* 224 bytes for 4~5 items
So, let S = how many instances shares the key,
* 90 + (96 / S) bytes for
Hi all,
I think we need some more data before going any further reimplementing
dicts.
What I would like to know is, across a set of Python programs (ideally a
representative set), what the proportion of dicts in memory at any one
time are:
a) instance dicts
b) other namespace dicts (classe
