Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	FEA5FFC816FAE6B283D655324732C1C9
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	python38-joblib
PackageRelease	47.4
PackageVersion	1.1.0
SHA-1	696EDAF3CB785E8CDCC3EAED1EA1000EB5682EA8
SHA-256	AEB27F5A31F862158FA2CDBA5E56D845C670812F4D4CFD55B1ABA9A2A2CD57E0

Key	Value
MD5	CF19860A2691086994023DE3FF20948A
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	python38-joblib
PackageRelease	47.22
PackageVersion	1.1.0
SHA-1	83605C0F1456F2C4E0E5D0F05F76A3641B5C7CA6
SHA-256	BB0CB6887E3EB56452B1DFEFCEDE2DC954D874DB4D0734339463783AD17515F7

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
MD5	3D9168F133A7BDD8C73C646756B6C3FB
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	python38-joblib
PackageRelease	47.21
PackageVersion	1.1.0
SHA-1	E16AC1422D5C820C8ACC160C32DCFEE0B107DFA5
SHA-256	ED6234D3128555B24EC41E6DCC0D0ED4BB2DB131D4BEAEDA1247447B4B09F5BA

Key	Value
MD5	331360F553CD59DABC00CFF7A433A50E
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	2.5
PackageVersion	0.14.1
SHA-1	0E517C072C1D2AA8F59D9590CE738A8FD7DCDA27
SHA-256	1239B403E5489D267091A3C4B3ED37CC37652DAD3F396F7200D8576BC638AC9B

Key	Value
MD5	3F8F5A833AF82D7EA9A1D56633F443F3
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	python38-joblib
PackageRelease	47.7
PackageVersion	1.1.0
SHA-1	3D5FA39FE982935A335C3BC418CFF59EAD0C5F0E
SHA-256	A07C59E53BA4282A72F9CD7C4E29C33A728A508FB6F1C8370A9AA12690801551

Key	Value
MD5	568636889C185C6A9B4D12DE70531552
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	python38-joblib
PackageRelease	47.14
PackageVersion	1.1.0
SHA-1	F429C1B90A327512462B38785419676661809C61
SHA-256	564A89E542FF0A87197B0DD81968E90567799D7F6D30209DAAC4052E0B987D18

Key	Value
MD5	41441B94BB3A0380D5C6DD5BE1901F95
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	python38-joblib
PackageRelease	47.3
PackageVersion	1.1.0
SHA-1	9D4FF30DAACBCACF9B1EE1B74CE333202840C42B
SHA-256	027F14E551A105A67CCC98B5B49F4E539C70213F9AFEAD3FEDE3A1EE499E9168

Key	Value
MD5	64564528F238F4E5227235B228F6AC28
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	python38-joblib
PackageRelease	1.2
PackageVersion	1.0.1
SHA-1	83E196A02D4040C9F40A7525F685CE5CB2ADF0C7
SHA-256	D53863F426263F41647FD217A03D8B9C65F0BC0FBCD529309608C107D215750E