Debugging D shared libraries
Laeeth Isharc via Digitalmars-d-learn
digitalmars-d-learn at puremagic.com
Sat Sep 19 11:10:28 PDT 2015
On Saturday, 19 September 2015 at 17:41:39 UTC, Laeeth Isharc
wrote:
> On Saturday, 19 September 2015 at 10:45:22 UTC, Russel Winder
> wrote:
>> Calling D from Python. I have two functions in D, compiled to
>> a shared object on Linux using LDC (but I get same problem
>> using DMD).
>>
>> The sequential code:
>>
>> extern(C)
>> double sequential(const int n, const double delta) {
>> Runtime.initialize();
>> const pi = 4.0 * delta * reduce!(
>> (double t, int i){ immutable x = (i - 0.5) *
>> delta; return t + 1.0 / (1.0 + x * x); })(
>> 0.0, iota(1, n + 1));
>> Runtime.terminate();
>> return pi;
>> }
>>
>> works entirely fine. However the "parallel" code:
>>
>> extern(C)
>> double parallel(const int n, const double delta) {
>> Runtime.initialize();
>> const pi = 4.0 * delta * taskPool.reduce!"a + b"(
>> map!((int i){ immutable x = (i - 0.5) * delta;
>> return 1.0 / (1.0 + x * x); })(iota(1, n + 1)));
>> Runtime.terminate();
>> return pi;
>> }
>>
>> causes an immediate segfault (with LDC and DMD. I am assuming
>> that the problem is the lack of initialization of the
>> std.parallelism module and hence the use of taskPool is
>> causing a problem. I am betting I am missing something very
>> simple about module initialization, and that this is not
>> actually a bug.
>>
>> Anyone any proposals?
>
> Btw have you looked at Colvin's prettypyd ? It's a nicer way
> to wrap things. Just @pdef!() before functions, aggregates and
> fields to wrap them.
>
> For demos, I should also think that showing Python code in one
> Jupyter cell calling D code in another is a pretty nice way to
> show interop. Just need to install the pyd Magic. Your D
> code can import dub libraries too.
In particular it should just work that way as PyD should deal
with runtime initialization and the like.
https://github.com/DlangScience/PydMagic
https://github.com/DlangScience/PydMagic/blob/master/examples/test.ipynb
https://github.com/John-Colvin/ppyd
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