It's gotta be me, but I'm at a loss. Installing with cpan: I can build XML::LibXML (lots of warnings) but the test suite refuses to run cleanly, staring with errors:
t/02parse.t ........................................ 1/533
# Failed test 'error parsing <!DOCTYPE X SYSTEM "example/ext\_ent.dtd">
# <X>\&foo;</X>
# '
# at t/02parse.t line 887.
# got: ''
# expected: anything else
# Looks like you failed 1 test of 533.`
and then getting worse from there.
I've installed the module on other Macs including other Intel boxes.
I've re-installed MacPorts (which is what I used to install LibXML2 and all the other prereqs).
I've built from source - same experience. Build succeeds, tests all fail.
I'm trying to figure out how to run the tests individually to see what's going on in better detail, but if anyone has seen and solved this funky issue of getting XML::LibXML to build and run cleanly on Mac OSX, please -I'd love to hear it. Everything else builds/tests/installs fine. reports does show some failed Mac builds.
submitted by /u/OS2REXX
[link] [comments]
[link] [comments]
The Perl and Raku Conference 2024 - Las Vegas
I was fortunate enough to attend my very first in-person Perl conference this year in Las Vegas! Ironically my first real exposure to Perl...Keith's Krazy Web Site
I have a Mac M1 chip laptop.
While I have managed to install a couple of modules, most fail to install.
I tried perlbrew, but that was a struggle to even get it to install perl itself, but when it was installed it wasn't working the way I needed it to.
Just wondering if I am missing something with CPAN or if this is an issue because it's an M1 chip?
submitted by /u/MrCosgrove2
[link] [comments]
The final installment in the series:
"The-Quest-For-Performance" from my blog Killing It with #perl
Discussing #python #numpy #numba, #rstats #openMP enhancements of Perl code and #simd
Bottom line: I will not be migrating to Python anytime soon.
Food for thought: The Perl interpreter (and many of the modules) are deep down massive C programs. Perhaps one can squeeze real performance kicks by looking into alternative compilers, compiler flags and pragmas ?
submitted by /u/ReplacementSlight413
[link] [comments]
The Quest for Performance Part IV : May the SIMD Force be with you
At this point one may wonder how numba, the Python compiler around numpy Python code, delivers a performance premium over numpy.Killing-It-with-PERL
