Parents (Total: 111)

The searched file hash is included in 111 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	https://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//arm//py3-joblib-0.15.1p0.tgz
MD5	495C102993704BEBA4A70B6FFEAC37F4
SHA-1	020D7D6FFF6C3050E0E92A98CE4396A7D35E022E
SHA-256	B19CBF9356E27F996F3290A98B0357883E32DE1D32E3BDC0833327B39DE3F0CE
SSDEEP	12288:lAf9ds02fwuY+/6UFCU+wJKUG8iZqmV9sOAwohlU:+9ds02fwefCwJKB7B9Q5+
TLSH	T11BB423892F84A4F1BCD0784DD4D870E7EBAE4D2FD946F8A624BD07B734E2AE444B1254

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