On 12/22/2011 7:48 PM, Puneet Kishor wrote:
Inspired by the lovely blurb below, I tried to install PDL::Stats but failed.
Here is the relevant bit from the log of my failed attempt --
----
PERL_DL_NONLAZY=1 /opt/local/bin/perl "-MExtUtils::Command::MM" "-e"
"test_harness(0, 'blib/lib', 'blib/arch')" t/*.t
t/stats_basic.t ..... ok
t/stats_glm.t ....... ok
# Failed test at t/stats_kmeans.t line 168.
# got: ''
# expected: '1'
# Looks like you failed 1 test of 18.
t/stats_kmeans.t ....
Dubious, test returned 1 (wstat 256, 0x100)
Failed 1/18 subtests
t/stats_ols_rptd.t .. ok
t/stats_ts.t ........ ok
Test Summary Report
-------------------
t/stats_kmeans.t (Wstat: 256 Tests: 18 Failed: 1)
Failed test: 13
Non-zero exit status: 1
Files=5, Tests=147, 1 wallclock secs ( 0.03 usr 0.01 sys + 0.91 cusr 0.04
csys = 0.99 CPU)
Result: FAIL
Failed 1/5 test programs. 1/147 subtests failed.
make: *** [test_dynamic] Error 255
-> FAIL Installing PDL::Stats failed. See
/Volumes/roller/Users/punkish/.cpanm/build.log for details.
----
Here is line 168 (test #13) from t/stats_kmeans.t
168> is(tapprox( t_kmeans_bad(), 0 ), 1);
169> sub t_kmeans_bad {
170> my $data = sequence 7, 3;
171> $data = $data->setbadat(4,0);
172> my %m = $data->kmeans({NCLUS=>2, NTRY=>10, V=>0});
173> return sum( $m{ms}->sumover - pdl qw( 1.5 1.9166667 1.9166667 ) );
174> }
I am on Mac OS X Lion with Perl 5.14.1 and PDL 2.4.6 installed via MacPorts
^^^^^
|||||
My guess it the problem is you are using PDL-2.4.6 and not
the current PDL-2.4.9 (or even better the current CPAN
Developers release version).
I know there were some fixes the are in PDL-2.4.9 that
helped Maggie X's stuff work. Maybe she can recall any
tricks to build her modules with a fairly old PDL (i.e.,
one not having the many fixes and features added in the
past couple of years).
--Chris
On Dec 22, 2011, at 3:26 PM, Maggie X wrote:
Hi Chris,
Thanks for including the info! Here's the blurb for PDL::Stats.
--------------
This is a collection of statistics modules in Perl Data Language, with a
quick-start guide for non-PDL people.
They make perldl--the simple shell for PDL--work like a teenie weenie R,
but with PDL threading--"the fast (and automagic) vectorised iteration of
'elementary operations' over arbitrary slices of multidimensional data"--of
procedures including t-test, ordinary least squares regression, and k-means
clustering.
---------------
Best,
Maggie
..
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