Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/joblib/externals/loky/backend/queues.py |
FileSize | 8990 |
MD5 | D8170E0FCC0950315AB59D68CEE90388 |
SHA-1 | 02F537E64493B9AB326AE42BC5E5E3C921FD0D15 |
SHA-256 | 6E8FDBCB54E22F2782BB863735E8BD2F2E3A0FEFF28D13FA6C3D11F32BA97771 |
SHA-512 | 7423C1FEB36D05075162A65AF5C86244AAF3D1733A4719BAEFB33EC6425C8BE7F2D27EAAC4FC3E4ADAAA69D226DF158E2C5B2F9E14778ABE85CED741AC6896D1 |
SSDEEP | 192:zxtBaQlS0iGTLdV1wvQdxCn97Lgm2rrWvPU9STwH/1C3QEIN:zx7a4KqM97sWS |
TLSH | T1330233E655292E604353CD7A885BF9A3674E64071F5E5134B4BCC2086F8C92C92E7EF1 |
insert-timestamp | 1728980946.6893165 |
mimetype | text/x-python |
source | snap:GhcPmkNNyI2NORCAAdqEG0R303ITAhO9_545 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 92 |
hashlookup:trust | 100 |
The searched file hash is included in 92 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
SHA-1 | 01094331C315996BD9740D19E85E15A36C1C2286 |
snap-authority | canonical |
snap-filename | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap |
snap-id | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695 |
snap-name | root-framework |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2020-11-27T06:22:05.033990Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap |
Key | Value |
---|---|
MD5 | 2591DE615341DE55B0BF10D053DD3064 |
PackageArch | noarch |
PackageDescription | Joblib 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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-joblib |
PackageRelease | 1.3 |
PackageVersion | 1.1.0 |
SHA-1 | 012BB971C7C22F6C6F18A8E03EB523B9F482A4E0 |
SHA-256 | 2A4821842E3B8E92A139BA62BBC59F7BBB2020DE16C46E9ED0CA11CCAF78E13C |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//py3-loky-3.0.0-r1.apk |
MD5 | EEF8E5EC0B7494A0CBC30B6EC0335ADE |
SHA-1 | 0157D6672E5687B9B41D75D01E95E55C2D060A24 |
SHA-256 | A413FE29BE2F145802E62117329000DEEB6F19D51CE87D1AEDF05BFF44926A81 |
SSDEEP | 3072:c4yVMAGjvQx9/UaqDSPL+WIkXF4HgQqeW9j1bs:c4yVMxu/y/3syAQ70jG |
TLSH | T1FCC3128BA67669445FDC88AC8052ECFDFA2E7E2C20D393152349DB1FD1ADB91336B144 |
Key | Value |
---|---|
MD5 | 25E7A25129511EDA3CEFF0CCB1ECEBE3 |
PackageArch | noarch |
PackageDescription | Joblib 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. |
PackageName | python3-joblib |
PackageRelease | 47.2 |
PackageVersion | 1.1.0 |
SHA-1 | 042DF0F6C099D33D3861060D8682A50C3275D170 |
SHA-256 | C38AC328CBE5B08AC0298AF7582076321D4CBECAECE9AFC1AC1A775E1E82051E |
Key | Value |
---|---|
MD5 | 84802A4E997A28F0A9DC3DF885A98E06 |
PackageArch | noarch |
PackageDescription | Joblib 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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python310-joblib |
PackageRelease | 1.3 |
PackageVersion | 1.1.0 |
SHA-1 | 055CB311425951E61CDF3379899C895B768407A7 |
SHA-256 | 7A545F1A8D5B80A0E312F08677F560FC58C424F4344BBB8E441778BA65C61CA3 |
Key | Value |
---|---|
MD5 | 56E1569BBADC4AEC629C1851ACAFE265 |
PackageArch | noarch |
PackageDescription | Joblib 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. |
PackageName | python3-joblib |
PackageRelease | lp152.47.2 |
PackageVersion | 1.1.0 |
SHA-1 | 0B174D16EC22FAEE4D92DF41E24797A2D4BA955B |
SHA-256 | 6E22112E7ED8F695A79B3177121385F4969B8C32A697082FA292341A4E10764F |
Key | Value |
---|---|
SHA-1 | 0BD43A023CD2ABA0D757FE61CEADD4FD43C8C403 |
snap-authority | canonical |
snap-filename | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap |
snap-id | XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620 |
snap-name | root-framework |
snap-publisher-id | VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2020-11-27T06:22:05.033990Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap |
Key | Value |
---|---|
MD5 | 794755611032C886279DEA399782F77E |
PackageArch | noarch |
PackageDescription | Joblib 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. |
PackageName | python36-joblib |
PackageRelease | 47.4 |
PackageVersion | 1.1.0 |
SHA-1 | 143EC6627D1444E940A315200DD6BD6BF4FE5FE0 |
SHA-256 | 0D1F5F60AD733627C5C8E2C369B41A2F2BB61619005BC50FD7E422F8B30CF0F7 |
Key | Value |
---|---|
FileSize | 200152 |
MD5 | 6F361649C69614C28BC0F4D0D4392E85 |
PackageDescription | tools 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-joblib |
PackageSection | python |
PackageVersion | 0.17.0-4 |
SHA-1 | 1CB0900B66CC6BBBFA50C5B2BC9CB6262F979EBD |
SHA-256 | 641F864D89D73B90E42EF35DE5ABF1463332C5A333A4983925A459DA551844ED |
Key | Value |
---|---|
MD5 | F92C0902DDB4F2E2031213F5D463C734 |
PackageArch | noarch |
PackageDescription | Joblib 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. |
PackageName | python3-joblib |
PackageRelease | 2.1 |
PackageVersion | 1.1.0 |
SHA-1 | 1E51EE6AF25C1B0CD25FD96AC13A542B5250A3AE |
SHA-256 | 2CE874722A588A8F4409430D6B79790F8B5AE2E5D6FF3A94E08584B8C9187B4E |