Result for 0EAC16ED2C7852607B67421AA00EADB7332E4991

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/joblib/externals/loky/backend/semlock.py
FileSize8918
MD5D9D3844F18890F844F8DEFC8A7B74BAA
RDS:package_id294806
SHA-10EAC16ED2C7852607B67421AA00EADB7332E4991
SHA-256E5DED25C72F2C3801944E2D91F0B19F4DEC582BAC12CCCCF0796003C35A5BB5A
SHA-5120D472F67D0BB89CACE6C00B4B3BA6C330E068279CEBEAC4302D0C85D214940386DFF4BDEB865345A8E53628B3B7CAB8783A8CDBAD7F4825E874CDD61C5BA4475
SSDEEP96:a+liISXGRzfdqudc1Xmm6HftHnCvJWgNZPrtYbdzY37pBCoCp3Xlesn05UxZqbv7:a+S2F+Xmm6Hf1wNZP+8on+GxyD7
TLSHT146022211AE2D811183138C1B6863B056BF1A69171D2A1EF8FEBCD0B65F6563882F5FF1
insert-timestamp1728980946.6145074
mimetypetext/x-python
sourcesnap:GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545
tar:gnameroot
tar:unameroot
hashlookup:parent-total189
hashlookup:trust100

Network graph view

Parents (Total: 189)

The searched file hash is included in 189 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
SHA-101094331C315996BD9740D19E85E15A36C1C2286
snap-authoritycanonical
snap-filenameXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
snap-idXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695
snap-nameroot-framework
snap-publisher-idVoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-11-27T06:22:05.033990Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
Key Value
MD52591DE615341DE55B0BF10D053DD3064
PackageArchnoarch
PackageDescriptionJoblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: 1. transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) 2. parallel computing 3. logging and tracing of the execution Joblib can handle large data and has specific optimizations for `numpy` arrays.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-joblib
PackageRelease1.3
PackageVersion1.1.0
SHA-1012BB971C7C22F6C6F18A8E03EB523B9F482A4E0
SHA-2562A4821842E3B8E92A139BA62BBC59F7BBB2020DE16C46E9ED0CA11CCAF78E13C
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//py3-loky-3.0.0-r1.apk
MD5EEF8E5EC0B7494A0CBC30B6EC0335ADE
SHA-10157D6672E5687B9B41D75D01E95E55C2D060A24
SHA-256A413FE29BE2F145802E62117329000DEEB6F19D51CE87D1AEDF05BFF44926A81
SSDEEP3072:c4yVMAGjvQx9/UaqDSPL+WIkXF4HgQqeW9j1bs:c4yVMxu/y/3syAQ70jG
TLSHT1FCC3128BA67669445FDC88AC8052ECFDFA2E7E2C20D393152349DB1FD1ADB91336B144
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
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//arm//py3-joblib-0.15.1p0.tgz
MD5495C102993704BEBA4A70B6FFEAC37F4
SHA-1020D7D6FFF6C3050E0E92A98CE4396A7D35E022E
SHA-256B19CBF9356E27F996F3290A98B0357883E32DE1D32E3BDC0833327B39DE3F0CE
SSDEEP12288:lAf9ds02fwuY+/6UFCU+wJKUG8iZqmV9sOAwohlU:+9ds02fwefCwJKB7B9Q5+
TLSHT11BB423892F84A4F1BCD0784DD4D870E7EBAE4D2FD946F8A624BD07B734E2AE444B1254
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
MD525E7A25129511EDA3CEFF0CCB1ECEBE3
PackageArchnoarch
PackageDescriptionJoblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: 1. transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) 2. parallel computing 3. logging and tracing of the execution Joblib can handle large data and has specific optimizations for `numpy` arrays.
PackageNamepython3-joblib
PackageRelease47.2
PackageVersion1.1.0
SHA-1042DF0F6C099D33D3861060D8682A50C3275D170
SHA-256C38AC328CBE5B08AC0298AF7582076321D4CBECAECE9AFC1AC1A775E1E82051E
Key Value
MD584802A4E997A28F0A9DC3DF885A98E06
PackageArchnoarch
PackageDescriptionJoblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: 1. transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) 2. parallel computing 3. logging and tracing of the execution Joblib can handle large data and has specific optimizations for `numpy` arrays.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-joblib
PackageRelease1.3
PackageVersion1.1.0
SHA-1055CB311425951E61CDF3379899C895B768407A7
SHA-2567A545F1A8D5B80A0E312F08677F560FC58C424F4344BBB8E441778BA65C61CA3
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