set name=pkg.fmri value=pkg://solaris/library/python/greenlet-27@0.4.5,5.11-0.175.3.0.0.30.0:20150821T170049Z
set name=info.upstream value="Ralf Schmitt <ralf@systemexit.de>"
set name=com.oracle.info.consolidation.repository-changeset value=811c1daffbfa
set name=org.opensolaris.arc-caseid value=PSARC/2013/140
set name=variant.arch value=i386 value=sparc
set name=info.upstream-url value=https://github.com/python-greenlet/greenlet
set name=com.oracle.info.consolidation.repository-url value=https://hg.java.net/hg/solaris-userland~gate
set name=com.oracle.info.version value=0.4.5
set name=org.opensolaris.consolidation value=userland
set name=pkg.tmp.incorporate value=consolidation/userland/userland-incorporation
set name=com.oracle.info.name value=greenlet
set name=pkg.summary value="Lightweight in-process concurrent programming"
set name=info.source-url value=http://pypi.python.org/packages/source/g/greenlet/greenlet-0.4.5.zip
set name=com.oracle.info.description value="the Python greenlet coroutine module"
set name=com.oracle.info.tpno value=21721
set name=pkg.description value="The greenlet package supports micro-threads called 'tasklets'. Tasklets run pseudo-concurrently (typically in a single or a few OS-level threads) and are synchronized with data exchanges on 'channels'. A 'greenlet', on the other hand, is a still more primitive notion of micro-thread with no implicit scheduling; coroutines, in other words. This is useful when one want to control exactly when one's code runs. One can build custom scheduled micro-threads on top of greenlet; However, greenlets are useful on their own as a way to make advanced control flow structures. For example, one can recreate generators; the difference with Python's own generators is that greenlet's generators can call nested functions and the nested functions can yield values too."
set name=info.classification value=org.opensolaris.category.2008:Development/Python
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depend fmri=pkg:/system/library@0.5.11-0.175.3.0.0.29.1 type=require
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