DESCRIPTION = "Hmm is a python module providing an implementation of Hidden Markov \
Model and associated algorithms (Viterbi and Baum-Welsh). It uses Numeric \
Python to speed up the computations."
SECTION = "devel/python"
PRIORITY = "optional"
LICENSE = "GPL"
RDEPENDS = "python-numeric"
DEPENDS = "python-numeric"
SRCNAME = "hmm"
SRC_URI = "ftp://ftp.logilab.org/pub/${SRCNAME}/${SRCNAME}-${PV}.tar.gz"
S = "${WORKDIR}/${SRCNAME}-${PV}"
inherit distutils
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| Multi-Tech CoreCDP 1.x OpenEmbedded Tree | Multi-Tech Systems |
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Thanks to the default-is-optimized patch, this python was running in optimized
mode all the time, there was no way to run it unoptimized. However this
is necessary at times (e.g. if you want to run code that contains 'assert'
statements, since optimized bytecode strips these out), so I added a new
command line parameter 'N' to python that allows you to run it unoptimized.
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