Result for 0673F3E929AC21D4939220B3C293AC854661B6BA

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/joblib/test/__pycache__/test_numpy_pickle.cpython-38.pyc
FileSize28279
MD5CC0113A6D855190FDD4655D5E285044E
SHA-10673F3E929AC21D4939220B3C293AC854661B6BA
SHA-256CEDAC98637432108059A04633C1494FEE5C8B60072B883354B8ED36F49D8EE2D
SSDEEP384:RSgw7H8PF6BQ3VzNVvl/V1bvYqLSBbEveV2qxDryatajWlrnNIAr/Le:a7H8P4GVz5vS9L2YD2amWlrNIE/Le
TLSHT108C2E8E8F062993BFD69F3FC518D171CDAB1D2595386A227B011CA4F3E183826CA95CD
hashlookup:parent-total7
hashlookup:trust85

Network graph view

Parents (Total: 7)

The searched file hash is included in 7 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