Result for 08641457C30D1ADC245ACCAE91050CCB64F8443B

Query result

Key Value
FileName./usr/share/doc/deap-doc/html/code/benchmarks/bohachevsky.png
FileSize137810
MD58028E6F752E52F24951EC0BBCEAAC2E0
SHA-108641457C30D1ADC245ACCAE91050CCB64F8443B
SHA-256475DEA26859566A324619A087C1B643299C790530B7A3955360F3B434D41D236
SSDEEP3072:Ic0TpyIFPj8q5aUU7PFmOYZr1w/iifG7PpLHHJfbol0IRnyUC+q3skMTcZU:l4pfFPozPYjZJPYGzQnylJc7Td
TLSHT1D0D31205D8279284AA0504D984B4BCECACA98056D6FA407DA44C3B60479F9BD3BF77FF
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
FileSize9314884
MD54E4D4CE2BA2E2E324FB0887C4D103661
PackageDescriptionDistributed Evolutionary Algorithms in Python (docs) DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanism such as multiprocessing and SCOOP. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamedeap-doc
PackageSectiondoc
PackageVersion1.3.1-2build2
SHA-1B66FD2747A597E3D58B7914F79FDCC2A04726C14
SHA-2563BA9A7B099947CD477028D6C8D2C51716A567764EE3C9DB2B728E36B8BD3F143