Result for 087C819EED9F1237D6175178C075FAB3660A60F6

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.8/site-packages/joblib/externals/cloudpickle/cloudpickle.py
FileSize35841
MD5FC90B85226A48AFA37AFBE00EA7F6BE6
SHA-1087C819EED9F1237D6175178C075FAB3660A60F6
SHA-2564C01D046860DC537F30AE5A12FB56C7C8B7A30D1E482637FECFBB81267025AC3
SHA-512EDBD856D9B17F1D1B4892EF2D3F938267CFA275964C987AF422255514A93CB713B11A30ED318BCFC3E0FF74780F78E39EA503BF3A6F795AB618D33C9681113BF
SSDEEP768:5t16jYR65lIxnFtNN0KffYDxh6PADQz/JwwW:5tiYRoeTtJff3PQ
TLSHT17AF2DA1BA550B733C71B9878E85BD261E769686B631411347CECC2AC1F01A35C2F77AE
insert-timestamp1728267425.4241292
mimetypetext/plain
sourcesnap:43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_383
hashlookup:parent-total65
hashlookup:trust100

Network graph view

Parents (Total: 65)

The searched file hash is included in 65 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
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
MD556E1569BBADC4AEC629C1851ACAFE265
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
PackageReleaselp152.47.2
PackageVersion1.1.0
SHA-10B174D16EC22FAEE4D92DF41E24797A2D4BA955B
SHA-2566E22112E7ED8F695A79B3177121385F4969B8C32A697082FA292341A4E10764F
Key Value
SHA-10BD43A023CD2ABA0D757FE61CEADD4FD43C8C403
snap-authoritycanonical
snap-filenameXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap
snap-idXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620
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_620.snap
Key Value
MD5794755611032C886279DEA399782F77E
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.
PackageNamepython36-joblib
PackageRelease47.4
PackageVersion1.1.0
SHA-1143EC6627D1444E940A315200DD6BD6BF4FE5FE0
SHA-2560D1F5F60AD733627C5C8E2C369B41A2F2BB61619005BC50FD7E422F8B30CF0F7
Key Value
MD5F92C0902DDB4F2E2031213F5D463C734
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
PackageRelease2.1
PackageVersion1.1.0
SHA-11E51EE6AF25C1B0CD25FD96AC13A542B5250A3AE
SHA-2562CE874722A588A8F4409430D6B79790F8B5AE2E5D6FF3A94E08584B8C9187B4E
Key Value
SHA-121A9031D5F5CDDF760B3FFCAD8D43EFA19267448
snap-authoritycanonical
snap-filenameGHdlymiT2xDpCfEUMB5PpEpDoQ7uqw7q_13.snap
snap-idGHdlymiT2xDpCfEUMB5PpEpDoQ7uqw7q_13
snap-nameubuntu-package-status
snap-publisher-idGFLh4mhBgeU0UNxE3pEJMvVBJTHwW4Sw
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2021-01-22T19:39:53.852389Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/GHdlymiT2xDpCfEUMB5PpEpDoQ7uqw7q_13.snap
Key Value
MD5011C0F12011DC81805F056EF0B49568A
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
PackageRelease2.2
PackageVersion1.1.0
SHA-1220FCB0F65629FCEFB9A9D0556FB6DFF33C42904
SHA-25630A67FA6BB0A761DBFF37F06B8DBCF3E18638AB294624664454BF1D211D6D43B