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From: metabase:user:17ed5e32-d968-11e5-a89c-e77bef74aa50
Subject: FAIL AI-NaiveBayes1-1.9 5.12.2 RC1 GNU/Linux
Date: 2010-09-01T15:57:31Z
This distribution has been tested as part of the CPAN Testers
project, supporting the Perl programming language. See
http://wiki.cpantesters.org/ for more information or email
questions to cpan-testers-discuss@perl.org
--
Dear Vlado Keselj,
This is a computer-generated report for AI-NaiveBayes1-1.9
on perl 5.12.2, created by CPAN-Reporter-1.18.
Thank you for uploading your work to CPAN. However, there was a problem
testing your distribution.
If you think this report is invalid, please consult the CPAN Testers Wiki
for suggestions on how to avoid getting FAIL reports for missing library
or binary dependencies, unsupported operating systems, and so on:
http://wiki.cpantesters.org/wiki/CPANAuthorNotes
Sections of this report:
* Tester comments
* Program output
* Prerequisites
* Environment and other context
------------------------------
TESTER COMMENTS
------------------------------
Additional comments from tester:
this report is from an automated smoke testing program
and was not reviewed by a human for accuracy
------------------------------
PROGRAM OUTPUT
------------------------------
Output from '/usr/bin/make test':
PERL_DL_NONLAZY=1 /home/test/perl/bin/perl5.12.2 "-MExtUtils::Command::MM" "-e" "test_harness(0, 'blib/lib', 'blib/arch')" t/*.t
t/1.t .. ok
Failed comparison with t/2-1.out!
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
# Failed test at t/auxfunctions.pl line 19.
Failed comparison with t/2-1.out!
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
# Failed test at t/auxfunctions.pl line 19.
Failed comparison with t/2-1.out!
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
Got: ---------+------+-----------------------
Expected: ---------+------+----------------------
# Failed test at t/auxfunctions.pl line 19.
# Looks like you failed 3 tests of 6.
t/2.t ..
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
# Failed test at t/3.t line 57.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333333
# play=yes | normal | 0.666666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333333
# play=yes | hot | 0.222222222222222222
# play=yes | mild | 0.444444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333
# play=yes | normal | 0.666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333
# play=yes | hot | 0.222222222222222
# play=yes | mild | 0.444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/3.t line 67.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333333
# play=yes | normal | 0.666666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333333
# play=yes | hot | 0.222222222222222222
# play=yes | mild | 0.444444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333
# play=yes | normal | 0.666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333
# play=yes | hot | 0.222222222222222
# play=yes | mild | 0.444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/3.t line 71.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333333
# play=yes | normal | 0.666666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333333
# play=yes | hot | 0.222222222222222222
# play=yes | mild | 0.444444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333
# play=yes | normal | 0.666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333
# play=yes | hot | 0.222222222222222
# play=yes | mild | 0.444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Looks like you failed 3 tests of 6.
t/3.t ..
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
Failed comparison with t/4-1.out!
Got: ---------+----------------------
Expected: ---------+-------------------
Got: play=no | 0.357142857142857143
Expected: play=no | 0.357142857142857
Got: play=yes | 0.642857142857142857
Expected: play=yes | 0.642857142857143
Got: ---------+----------------------
Expected: ---------+-------------------
Got: ---------+----------+---------------------------------------------------------------
Expected: ---------+----------+---------------------------------------------------------
Got: play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229106)
Expected: play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229)
Got: ---------+----------+---------------------------------------------------------------
Expected: ---------+----------+---------------------------------------------------------
Got: play=yes | real | Gaussian(mean=79.1111111111111111,stddev=10.2157286138146363)
Expected: play=yes | real | Gaussian(mean=79.1111111111111,stddev=10.2157286138146)
Got: ---------+----------+---------------------------------------------------------------
Expected: ---------+----------+---------------------------------------------------------
Got: play=yes | overcast | 0.444444444444444444
Expected: play=yes | overcast | 0.444444444444444
Got: play=yes | rainy | 0.333333333333333333
Expected: play=yes | rainy | 0.333333333333333
Got: play=yes | sunny | 0.222222222222222222
Expected: play=yes | sunny | 0.222222222222222
Got: ---------+-------------+------------------------------------------------
Expected: ---------+-------------+---------------------------------------------
Got: play=no | real | Gaussian(mean=74.6,stddev=7.89303490426844622)
Expected: play=no | real | Gaussian(mean=74.6,stddev=7.89303490426845)
Got: ---------+-------------+------------------------------------------------
Expected: ---------+-------------+---------------------------------------------
Got: play=yes | real | Gaussian(mean=73,stddev=6.16441400296897645)
Expected: play=yes | real | Gaussian(mean=73,stddev=6.16441400296898)
Got: ---------+-------------+------------------------------------------------
Expected: ---------+-------------+---------------------------------------------
Got: play=yes | FALSE | 0.666666666666666667
Expected: play=yes | FALSE | 0.666666666666667
Got: play=yes | TRUE | 0.333333333333333333
Expected: play=yes | TRUE | 0.333333333333333
# Failed test at t/auxfunctions.pl line 19.
# Failed test at t/4.t line 71.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229106)
# ---------+----------+---------------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111111,stddev=10.2157286138146363)
# ---------+----------+---------------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+------------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426844622)
# ---------+-------------+------------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296897645)
# ---------+-------------+------------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229)
# ---------+----------+---------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111,stddev=10.2157286138146)
# ---------+----------+---------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+---------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426845)
# ---------+-------------+---------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296898)
# ---------+-------------+---------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/4.t line 75.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229106)
# ---------+----------+---------------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111111,stddev=10.2157286138146363)
# ---------+----------+---------------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+------------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426844622)
# ---------+-------------+------------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296897645)
# ---------+-------------+------------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229)
# ---------+----------+---------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111,stddev=10.2157286138146)
# ---------+----------+---------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+---------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426845)
# ---------+-------------+---------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296898)
# ---------+-------------+---------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Looks like you failed 3 tests of 6.
t/4.t ..
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
# Failed test at t/5.t line 66.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333333,stddev=1521.30777074638429)
# ---------+------+---------------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882352941,stddev=1397.40106721265203)
# ---------+------+---------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333,stddev=1521.30777074638)
# ---------+------+---------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882353,stddev=1397.40106721265)
# ---------+------+---------------------------------------------------------
#
# '
# Failed test at t/5.t line 76.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333333,stddev=1521.30777074638429)
# ---------+------+---------------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882352941,stddev=1397.40106721265203)
# ---------+------+---------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333,stddev=1521.30777074638)
# ---------+------+---------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882353,stddev=1397.40106721265)
# ---------+------+---------------------------------------------------------
#
# '
# Failed test at t/5.t line 80.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333333,stddev=1521.30777074638429)
# ---------+------+---------------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882352941,stddev=1397.40106721265203)
# ---------+------+---------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333,stddev=1521.30777074638)
# ---------+------+---------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882353,stddev=1397.40106721265)
# ---------+------+---------------------------------------------------------
#
# '
# Looks like you failed 3 tests of 6.
t/5.t ..
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
# Failed test at t/6.t line 24.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/6.t line 32.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/6.t line 59.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Failed test at t/6.t line 64.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Looks like you failed 4 tests of 9.
t/6.t ..
Dubious, test returned 4 (wstat 1024, 0x400)
Failed 4/9 subtests
# Failed test at t/7.t line 24.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/7.t line 32.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/7.t line 64.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Failed test at t/7.t line 69.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Failed test at t/7.t line 103.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# Spam=Y | 0.46965699208443
# Spam=N | 0.53034300791556
# ---------+----------------------
#
# category | Caps | P( Caps | category )
# ---------+------+----------------------
# Spam=Y | N | 0.36516853932584
# Spam=Y | Y | 0.63483146067415
# ---------+------+----------------------
# Spam=N | N | 0.63681592039800
# Spam=N | Y | 0.36318407960199
# ---------+------+----------------------
#
# category | Free | P( Free | category )
# ---------+------+----------------------
# Spam=Y | N | 0.35955056179775
# Spam=Y | Y | 0.64044943820224
# ---------+------+----------------------
# Spam=N | N | 0.64676616915422
# Spam=N | Y | 0.35323383084577
# ---------+------+----------------------
#
# category | Html | P( Html | category )
# ---------+------+----------------------
# Spam=Y | N | 0.37640449438202
# Spam=Y | Y | 0.62359550561797
# ---------+------+----------------------
# Spam=N | N | 0.66666666666666
# Spam=N | Y | 0.33333333333333
# ---------+------+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# Spam=Y | 0.46965699208443
# Spam=N | 0.53034300791556
# ---------+-------------------
#
# category | Caps | P( Caps | category )
# ---------+------+----------------------
# Spam=Y | N | 0.36516853932584
# Spam=Y | Y | 0.63483146067415
# ---------+------+----------------------
# Spam=N | N | 0.63681592039801
# Spam=N | Y | 0.36318407960199
# ---------+------+----------------------
#
# category | Free | P( Free | category )
# ---------+------+----------------------
# Spam=Y | N | 0.35955056179775
# Spam=Y | Y | 0.64044943820224
# ---------+------+----------------------
# Spam=N | N | 0.64676616915422
# Spam=N | Y | 0.35323383084577
# ---------+------+----------------------
#
# category | Html | P( Html | category )
# ---------+------+----------------------
# Spam=Y | N | 0.37640449438202
# Spam=Y | Y | 0.62359550561797
# ---------+------+----------------------
# Spam=N | N | 0.66666666666666
# Spam=N | Y | 0.33333333333333
# ---------+------+----------------------
#
# '
# Looks like you failed 5 tests of 12.
t/7.t ..
Dubious, test returned 5 (wstat 1280, 0x500)
Failed 5/12 subtests
t/8.t .. ok
Test Summary Report
-------------------
t/2.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/3.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/4.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/5.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/6.t (Wstat: 1024 Tests: 9 Failed: 4)
Failed tests: 2-3, 6-7
Non-zero exit status: 4
t/7.t (Wstat: 1280 Tests: 12 Failed: 5)
Failed tests: 2-3, 6-7, 10
Non-zero exit status: 5
Files=8, Tests=51, 1 wallclock secs ( 0.04 usr 0.00 sys + 1.26 cusr 0.11 csys = 1.41 CPU)
Result: FAIL
Failed 6/8 test programs. 21/51 subtests failed.
make: *** [test_dynamic] Error 255
------------------------------
PREREQUISITES
------------------------------
Prerequisite modules loaded:
requires:
Module Need Have
------ ---- ----
YAML 0.0 0.72
------------------------------
ENVIRONMENT AND OTHER CONTEXT
------------------------------
Environment variables:
AUTOMATED_TESTING = 1
LANG = C
LC_ALL = C
PATH = /home/test/perl/bin:~/bin:/usr/bin:/bin
PERL5LIB = /home/test/.cpan/build/YAML-0.72-NTJAuP/blib/arch:/home/test/.cpan/build/YAML-0.72-NTJAuP/blib/lib
PERL5OPT =
PERL5_CPANPLUS_IS_RUNNING = 13630
PERL5_CPAN_IS_RUNNING = 13630
PERL5_CPAN_IS_RUNNING_IN_RECURSION = 18008,13630
PERL_CR_SMOKER_CURRENT = AI-NaiveBayes1-1.9
PERL_EXTUTILS_AUTOINSTALL = --defaultdeps
PERL_MM_USE_DEFAULT = 1
SHELL = /bin/bash
TERM = linux
Perl special variables (and OS-specific diagnostics, for MSWin32):
$^X = /home/test/perl/bin/perl5.12.2
$UID/$EUID = 1001 / 1001
$GID = 1001 1001
$EGID = 1001 1001
Perl module toolchain versions installed:
Module Have
------------------- -------
CPAN 1.94_56
Cwd 3.31
ExtUtils::CBuilder 0.27
ExtUtils::Command 1.16
ExtUtils::Install 1.55
ExtUtils::MakeMaker 6.56
ExtUtils::Manifest 1.57
ExtUtils::ParseXS 2.21
File::Spec 3.31_01
Module::Build 0.3603
Module::Signature n/a
Test::Harness 3.17
Test::More 0.94
YAML 0.72
YAML::Syck 1.14
version 0.82
--
Summary of my perl5 (revision 5 version 12 subversion 2) configuration:
Platform:
osname=linux, osvers=2.6.26-2-amd64, archname=x86_64-linux-thread-multi-ld
uname='linux zippy 2.6.26-2-amd64 #1 smp tue jan 12 22:12:20 utc 2010 x86_64 gnulinux '
config_args='-des -Dusedevel -des -Duselongdouble -Duse64bitall -Dusethreads -Dprefix=~/perl'
hint=recommended, useposix=true, d_sigaction=define
useithreads=define, usemultiplicity=define
useperlio=define, d_sfio=undef, uselargefiles=define, usesocks=undef
use64bitint=define, use64bitall=define, uselongdouble=define
usemymalloc=n, bincompat5005=undef
Compiler:
cc='cc', ccflags ='-D_REENTRANT -D_GNU_SOURCE -fno-strict-aliasing -pipe -fstack-protector -I/usr/local/include -D_LARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64',
optimize='-O2',
cppflags='-D_REENTRANT -D_GNU_SOURCE -fno-strict-aliasing -pipe -fstack-protector -I/usr/local/include'
ccversion='', gccversion='4.4.5 20100728 (prerelease)', gccosandvers=''
intsize=4, longsize=8, ptrsize=8, doublesize=8, byteorder=12345678
d_longlong=define, longlongsize=8, d_longdbl=define, longdblsize=16
ivtype='long', ivsize=8, nvtype='long double', nvsize=16, Off_t='off_t', lseeksize=8
alignbytes=16, prototype=define
Linker and Libraries:
ld='cc', ldflags =' -fstack-protector -L/usr/local/lib'
libpth=/usr/local/lib /lib /usr/lib /lib64 /usr/lib64
libs=-lnsl -ldb -ldl -lm -lcrypt -lutil -lpthread -lc
perllibs=-lnsl -ldl -lm -lcrypt -lutil -lpthread -lc
libc=/lib/libc-2.11.2.so, so=so, useshrplib=false, libperl=libperl.a
gnulibc_version='2.11.2'
Dynamic Linking:
dlsrc=dl_dlopen.xs, dlext=so, d_dlsymun=undef, ccdlflags='-Wl,-E'
cccdlflags='-fPIC', lddlflags='-shared -O2 -L/usr/local/lib -fstack-protector'
Characteristics of this binary (from libperl):
Compile-time options: MULTIPLICITY PERL_DONT_CREATE_GVSV
PERL_IMPLICIT_CONTEXT PERL_MALLOC_WRAP PERL_USE_DEVEL
USE_64_BIT_ALL USE_64_BIT_INT USE_ITHREADS
USE_LARGE_FILES USE_LONG_DOUBLE USE_PERLIO
USE_PERL_ATOF USE_REENTRANT_API
Locally applied patches:
RC1
Built under linux
Compiled at Sep 1 2010 11:40:27
%ENV:
PERL5LIB="/home/test/.cpan/build/YAML-0.72-NTJAuP/blib/arch:/home/test/.cpan/build/YAML-0.72-NTJAuP/blib/lib"
PERL5OPT=""
PERL5_CPANPLUS_IS_RUNNING="13630"
PERL5_CPAN_IS_RUNNING="13630"
PERL5_CPAN_IS_RUNNING_IN_RECURSION="18008,13630"
PERL_CR_SMOKER_CURRENT="AI-NaiveBayes1-1.9"
PERL_EXTUTILS_AUTOINSTALL="--defaultdeps"
PERL_MM_USE_DEFAULT="1"
@INC:
/home/test/.cpan/build/YAML-0.72-NTJAuP/blib/arch
/home/test/.cpan/build/YAML-0.72-NTJAuP/blib/lib
/home/test/perl/lib/site_perl/5.12.2/x86_64-linux-thread-multi-ld
/home/test/perl/lib/site_perl/5.12.2
/home/test/perl/lib/5.12.2/x86_64-linux-thread-multi-ld
/home/test/perl/lib/5.12.2
/home/test/perl/lib/site_perl
.