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authorJulian Taylor <jtaylor.debian@googlemail.com>2017-05-04 22:47:24 +0200
committerJulian Taylor <jtaylor.debian@googlemail.com>2017-05-04 23:00:24 +0200
commit67bfabf1d5b6bedc695eab097cee9ddc9a406496 (patch)
treee01028ef078edc094fa2e95c3edc18e65dfdef92 /numpy/add_newdocs.py
parent7d134a35ac7966cd0ce13d19e935308afd289686 (diff)
downloadnumpy-67bfabf1d5b6bedc695eab097cee9ddc9a406496.tar.gz
BUG: distutils, add compatiblity python parallelization
Python 3.5 also added build parallelization at the extension level instead of the file leve numpy uses. This causes two problems: - numpy.distutils is not threadsafe with duplicated source files When source files are duplicated in multiple extensions the output objects are overwritten which can truncate in a parallel context. This is fixed by keeping track of the files being worked on and wait for completion if another thread is already using the object name. - The parallelization on two nested levels causes oversubscription. When building multiple extensions with multiple source files the number of jobs running is multiplied. This is fixed by adding a semaphore that limits the number of jobs numpy starts to the defined amount. closes gh-7139
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