Result for 0184A0186BC698392212A50AD882C6D1FEABB74D

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Parent (66)

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle_compat.py
FileSize8439
MD5BA1FCB36144AB60643DDEE3E99E89D71
SHA-10184A0186BC698392212A50AD882C6D1FEABB74D
SHA-256F6F27A73E7F412E89F362D76D3AC2E184AF9B0D4D20305160A1E0FD2DCB3AF61
SHA-512C4AE669A1446B96214362ED778A198A7756746971FA6AC2E65BC12A79BE6D0ECE3DA44B3AC394C8803E488B941DF8AAD6B5FCDA4C0A6780E02EC107A8BE552D5
SSDEEP192:/WgSmV7tie+qSrrjUKyaVIvjtcUL7mYA3nDIvHda:nf1tqqAerp9a
TLSHT1CE028417DD194AB98353E0664646E591B311A41B2A0B167038FFDE183F45A71F3F8BEC
insert-timestamp1728975566.5973842
mimetypetext/plain
sourcesnap:EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
tar:gnamebin
tar:unameroot
hashlookup:parent-total66
hashlookup:trust100

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Parents (Total: 66)

The searched file hash is included in 66 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD535840735EF708F1A1650FA4A2293E466
PackageArchx86_64
PackageDescriptionScikit-learn is a python module for machine learning built on top of scipy.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-scikit-learn
PackageReleaselp151.1.8
PackageVersion0.20.2
SHA-1018292C5F58DB85673EC145CC6DEB64DE0A8F845
SHA-2569BEAB46CE0810950EE00C0C9BB8C8C45BBDC9D6AC74D4C82F8C0DD81A41F7B04
Key Value
SHA-10265167C71D611D4025F842F2EDE7CBAA0AA8A89
snap-authoritycanonical
snap-filenameEE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
snap-idEE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
snap-nameepitopepredict
snap-publisher-idwKNkmne29sQR93F3D0N6GFAFqfyv9hpz
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2017-09-18T21:52:25.816561Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//powerpc//py3-joblib-0.13.2.tgz
MD5F1B66E94034806374CDF48785DD635B7
SHA-106A1500A8686248FFEFC04216516602F5CBFAD15
SHA-256D2B048FDF6761D215CCD45AE9B72C7460B7381337C756D59D8B63128FA8CEBE2
SSDEEP12288:xiIAmatUwra3jwunoxl8+DvqOM5XQ0nCUerwMEbUbUil:xcxtE38AWZP0HecMEcl
TLSHT141A4230D58552C82B6861030D711AC371EA2D59B708DFE9BED3019A6FF9B3FC45D829E
Key Value
FileSize186956
MD5E8DF9C67B698D8AE8640C1E433004CAE
PackageDescriptiontools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version.
PackageMaintainerYaroslav Halchenko <debian@onerussian.com>
PackageNamepython3-joblib
PackageSectionpython
PackageVersion0.13.0-2
SHA-10729C721EE79282D5F10ADB4A7526B5AAE0FCE26
SHA-2565A322101B8E72A40284FBF359D52A68C5359D82AB27C3C96EEB1A080CA3A3CC3
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//mips64el//py3-joblib-0.13.2.tgz
MD513A7B91BA867243029E29B6DC6DF15B3
SHA-10C2C645B681FFF877C02F84D039CDDCCA97E9A01
SHA-256F2BACA8C05B07AE4FFDA270C4663AD68082FED9C7533A39B9CA29A9884EDD992
SSDEEP12288:2KEIAmaxmuNk3jwwVQ/QSl8+DvqOM5XRq/KlGowMEbUbUil:2KyxxXNk38PQsZvylGRMEcl
TLSHT138A4234D2D441891B2826430C6779D76AFE2D093606CFD2AED612BD96F8F7BC881399C
Key Value
MD52D11D42294318C97796C31E5455696B4
PackageArchaarch64
PackageDescriptionsklearn is a Python 3 module that integrates classic machine learning algorithms with the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-scikits-learn
PackageRelease1.mga7
PackageVersion0.20.3
SHA-10FC762E921949C08CD40FF58BFF5E8897B14FC01
SHA-256115AF033102522B0A22B8D0831828A300109831DABCEDE50F405F012F193FD36
Key Value
MD59116FDB60BA0ABA4E7A6605C46691664
PackageArchnoarch
PackageDescription Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: * transparent disk-caching of the output values and lazy re-evaluation (memorize pattern) * easy simple parallel computing * logging and tracing of the execution.
PackageMaintainerwally <wally>
PackageNamepython3-joblib
PackageRelease1.mga7
PackageVersion0.13.2
SHA-110CBFB98C15767270F7BBF3C3553DCBBCD5782CD
SHA-2569CD1AA90163EFD478D503403A7C6F74BA1A6BC2443508D070D5E5E69D0A49796
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//amd64//py3-joblib-0.13.2.tgz
MD531EE697C0C369DE04E3A1CB9C5542F41
SHA-115FFE151AB45AAD262E784614FBDA27582EC431A
SHA-2566A7CAADAD4725A637DC6BB441AF55D9248C645BCBB8DA15BB20F3ECD22B147C0
SSDEEP12288:0FIAmaxmuNk3jwwVQ/QSl8+DvqOM5XQ0nCUerwMEbUbUil:0HxxXNk38PQsZP0HecMEcl
TLSHT166A4238D2C446CC1E1821430EA736C362FE1F187A09DFF1EDD7069E9AE8B7B8845955D
Key Value
MD530E971C3301135C808AD49ED5EB30E96
PackageArchs390x
PackageDescriptionScikit-learn is a python module for machine learning built on top of scipy.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-scikit-learn
PackageReleasebp153.1.20
PackageVersion0.20.2
SHA-11BD3ADD0B0BA43A456ED643B46A521847F7FA32F
SHA-256BBA325FC59C5D41AB93C79BA746CC6BDA8FFEB986ECE3288FEF5254613F0CC59
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.7/packages//i386//py3-joblib-0.13.2.tgz
MD5D511BB504E533C5804EE7AAD21C6D9CB
SHA-11D23D49C1F071EFFFB29D77E72E302402C44C28D
SHA-2561C07E44C43248198A6E1E7D454E7362E451090D984ED478AD17D9E94D24640C5
SSDEEP12288:PeIAmatUwra3jwunoxl8+DvqOM5XRq/KlGowMEbUbUil:PIxtE38AWZvylGRMEcl
TLSHT1FBA4230C3A912949B2CA243096762E772DE1D093704DED4ADE701BEBF69B7FC0D9925C





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