Parents (Total: 18)

The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:

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	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
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
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

Key	Value
MD5	011C0F12011DC81805F056EF0B49568A
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	2.2
PackageVersion	1.1.0
SHA-1	220FCB0F65629FCEFB9A9D0556FB6DFF33C42904
SHA-256	30A67FA6BB0A761DBFF37F06B8DBCF3E18638AB294624664454BF1D211D6D43B

Key	Value
MD5	59EFB1C4066DD2330C046EE2B9957ACB
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	2.3
PackageVersion	1.1.0
SHA-1	2BBDF50517CE25C42FC07452CDA500C3E249328C
SHA-256	0AA55302D29CC7298317CA9C1D9514EC5922CF8FDF0F8E195AB6C336C84A8778

Key	Value
MD5	7C447A4E8E13B483AE78A56F695DEA31
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	36655EEE2A7E0C86A2318066FDD6B8DC74EE1F51
SHA-256	384D43A5A87295DFF896B701165506EDF1A1772223B544944FEF616AA731A140

Key	Value
MD5	5F8F5F6770F641B1802CB29BBB256EB4
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	47.3
PackageVersion	1.1.0
SHA-1	3CFB5B95FABDF774958152EBB31BEB5D8FDC7FB7
SHA-256	11C29BE4E60F8C29A79FD1D717283154906C033B50A748C559E11D2B701BBB98

Key	Value
MD5	3B53B8661DFA239B2732E597D11600F5
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	lp152.2.1
PackageVersion	1.1.0
SHA-1	5929806C4080ED1C66BA2371B76E269B44FFAEB9
SHA-256	F72CF89EDBAC01320A6D21D569FA4403419C2CCC5EA5E35A44B9B37BC950E1B4

Key	Value
MD5	CCC2B4DF22FB86D4B88098A9BB44F2A8
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	lp153.47.3
PackageVersion	1.1.0
SHA-1	5944B5F3FC5879B741AAFDB610563E21A03FDD7E
SHA-256	943CCB538956DD7E12F4479CDE47C625898B59E99B0A5C3247C042736162DB66