Result for 24C2AD48165E34FF849758122ACB589B2D7C3C12

Query result

Key Value
FileName./usr/lib/python3/dist-packages/multiprocess/tests/__init__.py
FileSize190661
MD52F3FAFB153612A0B58C80E5EAB3E4221
SHA-124C2AD48165E34FF849758122ACB589B2D7C3C12
SHA-256A955746276DB82A71CA8E36D0E89668127575F778CF44223CD816E75F0622134
SSDEEP1536:t+ZrTPkIdpdpGEerRh5xor6gKwP4pwRCB6rtw3dlI3P9YKfQGx7y:t+dwn3wRvtw3di3Kkx7y
TLSHT111147222952B1D26A393CC7E689BA20B1F6F5D57050D1438B9BCD2483FA5134C2E7DFA
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize102556
MD5DD60F41E12DC26DEC22BE3E88A998AA6
PackageDescriptionbetter 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.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-multiprocess
PackageSectionpython
PackageVersion0.70.12.2-1
SHA-1A6ACACF57D6F213A4FCD1BAF65F152804880A755
SHA-2563D0703EE2471623DC3D3FF040F4B72297A6A28F8A01FED94917834B8077C930D