Result for 066173A21061BBC139CCE09A8195DEE4E40946FC

Query result

Key Value
FileName./usr/share/doc/deap-doc/examples/speed.txt
FileSize508
MD5BED878DEE4CF1DB1B867C8D2778DF003
SHA-1066173A21061BBC139CCE09A8195DEE4E40946FC
SHA-2565935F57064BEA4336E889C0BD2BE3A69147FAD68EBE80CF1D7AD3B1C4DC6C980
SSDEEP12:ayT/WFjq6jLRWzaJupuEeWqxyG0LxVICuf44sosy7L4bC:xT/6/IzaJuUV6LxV0VhL42
TLSHT143F09EE905B99E5FBE33B00A43A1899075B080210D3184C7635033FC09C14EE703E050
hashlookup:parent-total6
hashlookup:trust80

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Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize9631700
MD59DEC3BE4207698C9AAC1278534ACF4E7
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.
PackageMaintainerMiriam Ruiz <miriam@debian.org>
PackageNamedeap-doc
PackageSectiondoc
PackageVersion1.3.1-2
SHA-1CD52D87142C817E84DE8A3CFCB090CB90D12CA35
SHA-25612FFEC835B11B98CE5338D369CBEA37399CA518683DBD5442E28E4FCABBD8600
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
Key Value
FileSize9630128
MD5C428AF2F7B7BD7D153B2E97E00CED8FA
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
PackageVersion1.3.1-1build1
SHA-11E141620E2C84EB6C5A02144B8818610F97596ED
SHA-256BB83AEFBFE0ADCA6E4ECCDFD39191CFE64AFBA595F20A0E8DDADE7497CB1EAD3
Key Value
FileSize9318772
MD5DA5FA48CD2BD4101E875B48EDD2BDF77
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.
PackageMaintainerMiriam Ruiz <miriam@debian.org>
PackageNamedeap-doc
PackageSectiondoc
PackageVersion1.3.1-3
SHA-13F75F7665946E0FE6569DB0DC381B9FECDA360DC
SHA-256ABFA80CCFAE45DB2861B1C8F88E17A80FEC4B1803F4EC77F6B00AB0BA6794773
Key Value
FileSize2542860
MD5B59CE06E0EA97CEE1E36F2D22992F508
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.
PackageMaintainerMiriam Ruiz <miriam@debian.org>
PackageNamedeap-doc
PackageSectiondoc
PackageVersion1.3.1-4
SHA-136A51F6531193D769DDA1A02D88CA92868ED6538
SHA-25691B81B20A8FDDE2B9715B08591D277575A9FA8162CCE14E80D176E37EFD72F91
Key Value
FileSize9630448
MD57BA044FCAEAA1A8B5E40D03C276F8E7D
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
PackageVersion1.3.1-2
SHA-1ED60F1B71A3006C3B15459A4766F26CCDAD5D419
SHA-2561C0ABF59CC980B53D8D1693D155B051A4C044976744B8011494A86177D8C1A76