Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	95496
MD5	D0F097C8CF640E8961845EDE2DEEFE6E
PackageDescription	better multiprocessing and multithreading in Python Multiprocess is a fork of multiprocessing, and is developed as part of pathos. It uses dill to serialize objects. . Multiprocessing is a package for the Python language which supports the spawning of processes using the API of the standard library's threading module. multiprocessing has been distributed in the Python standard library. . Features: * Objects can be transferred between processes using pipes or multi-producer/multi-consumer queues. * Objects can be shared between processes using a server process or (for simple data) shared memory. * Equivalents of all the synchronization primitives in threading are available. * A Pool class makes it easy to submit tasks to a pool of worker processes. . Multiprocess is part of pathos, a Python framework for heterogeneous computing. multiprocess is in active development, so any user feedback, bug reports, comments, or suggestions are highly appreciated.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-multiprocess
PackageSection	python
PackageVersion	0.70.11.1-1
SHA-1	C1BEE8FCA79F7671C89D477F63FD82ED8976D111
SHA-256	35B26A02F8560421D948AC14F92A05A34AF76EE47F55C1E37E8D8FADAB70791D

Key	Value
FileSize	103188
MD5	2BD7AFBC2D391848A4CE58B4FB4F19FC
PackageDescription	better multiprocessing and multithreading in Python Multiprocess is a fork of multiprocessing, and is developed as part of pathos. It uses dill to serialize objects. . Multiprocessing is a package for the Python language which supports the spawning of processes using the API of the standard library's threading module. multiprocessing has been distributed in the Python standard library. . Features: * Objects can be transferred between processes using pipes or multi-producer/multi-consumer queues. * Objects can be shared between processes using a server process or (for simple data) shared memory. * Equivalents of all the synchronization primitives in threading are available. * A Pool class makes it easy to submit tasks to a pool of worker processes. . Multiprocess is part of pathos, a Python framework for heterogeneous computing. multiprocess is in active development, so any user feedback, bug reports, comments, or suggestions are highly appreciated.
PackageMaintainer	Sandro Tosi <morph@debian.org>
PackageName	python3-multiprocess
PackageSection	python
PackageVersion	0.70.11.1-1
SHA-1	DA1A99EDAED042813C5C9FDCB51DB9832D4F2876
SHA-256	87347DB5DAD369412BB900CBE3557450E9F70FEB383DEA5BC16F061319F25E78