Result for 0914D32C21AE1D85C48999A90A7320B259AB4773

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/joblib/test/__pycache__/common.cpython-38.pyc
FileSize3159
MD5E050581C6BDE94547F273D6388C8DDD9
SHA-10914D32C21AE1D85C48999A90A7320B259AB4773
SHA-256861FDF6BE161FC686321D997DD3725E98F90450284AEF174C69913E67A67CEF9
SSDEEP48:Wp18k+H6AAHYbrSEJn4ctD9PRk9kCaq0XNhEpQ205uj5LNHkWrK7Tld:i8ky6Af/Smn4YvkIq0XN2T5LHOld
TLSHT1ED5164819209496BFDF0FBB0704B42221373C7763789553EA61DB96E7E4B3851CB0E86
hashlookup:parent-total8
hashlookup:trust90

Network graph view

Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5FEA5FFC816FAE6B283D655324732C1C9
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.
PackageNamepython38-joblib
PackageRelease47.4
PackageVersion1.1.0
SHA-1696EDAF3CB785E8CDCC3EAED1EA1000EB5682EA8
SHA-256AEB27F5A31F862158FA2CDBA5E56D845C670812F4D4CFD55B1ABA9A2A2CD57E0
Key Value
MD5CF19860A2691086994023DE3FF20948A
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.
PackageNamepython38-joblib
PackageRelease47.22
PackageVersion1.1.0
SHA-183605C0F1456F2C4E0E5D0F05F76A3641B5C7CA6
SHA-256BB0CB6887E3EB56452B1DFEFCEDE2DC954D874DB4D0734339463783AD17515F7
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
MD53D9168F133A7BDD8C73C646756B6C3FB
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.
PackageNamepython38-joblib
PackageRelease47.21
PackageVersion1.1.0
SHA-1E16AC1422D5C820C8ACC160C32DCFEE0B107DFA5
SHA-256ED6234D3128555B24EC41E6DCC0D0ED4BB2DB131D4BEAEDA1247447B4B09F5BA
Key Value
MD53F8F5A833AF82D7EA9A1D56633F443F3
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.
PackageNamepython38-joblib
PackageRelease47.7
PackageVersion1.1.0
SHA-13D5FA39FE982935A335C3BC418CFF59EAD0C5F0E
SHA-256A07C59E53BA4282A72F9CD7C4E29C33A728A508FB6F1C8370A9AA12690801551
Key Value
MD5568636889C185C6A9B4D12DE70531552
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.
PackageNamepython38-joblib
PackageRelease47.14
PackageVersion1.1.0
SHA-1F429C1B90A327512462B38785419676661809C61
SHA-256564A89E542FF0A87197B0DD81968E90567799D7F6D30209DAAC4052E0B987D18
Key Value
MD541441B94BB3A0380D5C6DD5BE1901F95
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.
PackageNamepython38-joblib
PackageRelease47.3
PackageVersion1.1.0
SHA-19D4FF30DAACBCACF9B1EE1B74CE333202840C42B
SHA-256027F14E551A105A67CCC98B5B49F4E539C70213F9AFEAD3FEDE3A1EE499E9168
Key Value
MD564564528F238F4E5227235B228F6AC28
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.
PackageNamepython38-joblib
PackageRelease1.2
PackageVersion1.0.1
SHA-183E196A02D4040C9F40A7525F685CE5CB2ADF0C7
SHA-256D53863F426263F41647FD217A03D8B9C65F0BC0FBCD529309608C107D215750E