Result for 17CC615FC9760D29DF4EBA55C8343C4FA7CDD3AF

Query result

Key Value
FileName./usr/lib/python3/dist-packages/ck/repo/module/repo/.cm/info.json
FileSize571
MD5EDCAE189009998B7E8C79A0F59DD1C56
SHA-117CC615FC9760D29DF4EBA55C8343C4FA7CDD3AF
SHA-256FFC0A838603A018B2A43153FFF43D555340613F1DFA803DA8605D6170F0F25DB
SSDEEP12:ivcXxmmU+yXgCvhucExX4YfCr7vukRL0u6yLGw4T/HM:ivcXxcfo4mCrDBLsyLGwcM
TLSHT16AF0F6B6E0E49C5B66449551A0604E4BF60A394342624E5BBD3D97DC4F5AF20206C258
hashlookup:parent-total2
hashlookup:trust60

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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
FileSize78428
MD538D684D3A6B33A63B8816F7B42CE7658
PackageDescriptionPython3 light-weight knowledge manager Collective Knowledge Framework and Repository (CK) is a small and portable Python application to organize, cross-link, share and reuse research artifacts. CK helps decompose complex and hardwired experimental workflows into unified and reusable components with simple JSON API and meta-description shared via GitHub or any other web service. CK can complement Docker and Virtual Machines while helping researchers quickly prototype their ideas from shared components as LEGO(TM), crowdsource experiments, share knowledge, reproduce results and create interactive articles. Full documentation and results of GCC/LLVM crowdtuning (collaborative program optimization and machine learning) are available at https://github.com/ctuning/ck/wiki and http://cknowledge.org/repo . This is the Python 3 version of this package.
PackageMaintainerGrigori Fursin <Grigori.Fursin@cTuning.org>
PackageNamepython3-ck
PackageSectionpython
PackageVersion1.7.2-1
SHA-1D4246688DB907888F8AC57CBF19F7D6070C9EA7B
SHA-256E0DDEE2508313FE0BF60109630750A643B05CC38FE3191940C89C1C0DC766405
Key Value
FileSize83686
MD50F01A51F4684CC90E607457521E2F158
PackageDescriptionPython2 light-weight knowledge manager Collective Knowledge Framework and Repository (CK) is a small and portable Python application to organize, cross-link, share and reuse research artifacts. CK helps decompose complex and hardwired experimental workflows into unified and reusable components with simple JSON API and meta-description shared via GitHub or any other web service. CK can complement Docker and Virtual Machines while helping researchers quickly prototype their ideas from shared components as LEGO(TM), crowdsource experiments, share knowledge, reproduce results and create interactive articles. Full documentation and results of GCC/LLVM crowdtuning (collaborative program optimization and machine learning) are available at https://github.com/ctuning/ck/wiki and http://cknowledge.org/repo . This is the Python 2 version of this package.
PackageMaintainerGrigori Fursin <Grigori.Fursin@cTuning.org>
PackageNamepython-ck
PackageSectionpython
PackageVersion1.7.2-1
SHA-10C589FA723E4AE62DE922BB1ED64FBC38A121BF9
SHA-256324469C0D1BDFBF450C1D4AC9BCDEBEA86B28B73B7F466B51A1BF00D515071D7