Package Details: python-quantlib 1.36-2

Git Clone URL: https://aur.archlinux.org/python-quantlib.git (read-only, click to copy)
Package Base: python-quantlib
Description: QuantLib wrappers to Python
Upstream URL: http://quantlib.org
Licenses: BSD-3-Clause
Submitter: qft
Maintainer: qft (a.kudelin)
Last Packager: a.kudelin
Votes: 5
Popularity: 0.000000
First Submitted: 2016-05-27 14:15 (UTC)
Last Updated: 2024-11-06 20:49 (UTC)

Latest Comments

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qft commented on 2023-12-17 04:40 (UTC)

@hjortur, the reason we use clang is because it uses significantly less ram during building. Many users with lower-end PC cannot build this package with gcc.

hjortur commented on 2023-12-16 17:32 (UTC) (edited on 2023-12-16 17:32 (UTC) by hjortur)

Why is clang set as the default compiler? The sane approach is just to use the systems environment variable so the user can choose their compiler. There is no reason to add clang as an explicit dependency when the package builds fine with gcc.

a.kudelin commented on 2021-07-16 18:26 (UTC)

Oh, many thanks!

qft commented on 2021-07-16 18:20 (UTC)

@a.kudelin sorry for the delay. I do plan to maintain the package. I have just updated it and made you a co-maintainer.

a.kudelin commented on 2021-07-16 09:42 (UTC)

Hi, @qft
Do you plan to maintain the package? If not, could you please disown it or add me as a co-maintainer?

a.kudelin commented on 2021-04-01 21:02 (UTC) (edited on 2021-04-01 22:09 (UTC) by a.kudelin)

Change gcc to clang. The last one does its magic with RAM. Please update PKGBUILD: https://pastebin.com/HG88K4Gs

qft commented on 2020-12-29 23:41 (UTC)

you can use pip install instead of this PKGBUILD if you cannot build it from source... sorry...

qft commented on 2020-12-29 22:22 (UTC)

8GB of RAM is definitely not enough, I cannot even build it with 16GB of RAM if I have other programs such as a browser running.

j_klee commented on 2020-12-29 22:12 (UTC) (edited on 2020-12-29 22:13 (UTC) by j_klee)

Thank you for the fast reply. You are indeed right, I could not find an entry in jounalctl, but I had a look at top and it is running out of memory. I have I have 8gb of RAM, is that not enough? I found and issue at GitHub with the same problem that was closed without a solution here: https://github.com/lballabio/QuantLib-SWIG/issues/36

qft commented on 2020-12-29 20:59 (UTC)

With the latest PKGBUILD, '-enable-std-classes' and '-enable-std-functions' flags no longer needs to be removed. And you can directly use the quantlib PKGBUILD without any modification.

If your compilation terminates without any error message, the most likely cause is that you run out of memory. Please check for journalctl to see if you had any "Out of memory" error messages.

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