Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/joblib/test/__pycache__/test_module.cpython-39.opt-1.pyc |
FileSize | 1962 |
MD5 | 5CAFB22A1BC5CD0E7607D624237AB807 |
SHA-1 | 00C4801C0EAB3F83F3FDC0527A84D804F1116CEB |
SHA-256 | DD13DC66F78AC150EBD5E48643D39A6B560619B8FE7DA82787AF6070346742DB |
SSDEEP | 24:gHTNit/PqIlGEyz9HaavFHwL9W6oHaFQd8C33dBN9FxbaDd8u18fgqfv+:gHbIAfzSLU3pj8Aw |
TLSH | T1F2411F43824385AAF9F4E97E306903315B35C1331798905FBA2CF97A3F6B3984AA5D48 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 9 |
hashlookup:trust | 95 |
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 | F6B46C691333064A2D2674A0B6241031 |
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 | python39-joblib |
PackageRelease | 47.14 |
PackageVersion | 1.1.0 |
SHA-1 | 269ED9180EFC98B2A3E43E882F51EFC0085BB01F |
SHA-256 | 4F10AAD50926B063AD6CAE6E9CCFBB5C263254A70B0336DF1102070F3A72CB59 |
Key | Value |
---|---|
MD5 | 114E8DD0A2A7366EE991388A6F1182A8 |
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 | python39-joblib |
PackageRelease | 47.4 |
PackageVersion | 1.1.0 |
SHA-1 | 61ED8F1C7E39F0C58AF1D6665A32737EF7A57BA1 |
SHA-256 | 0023FF54AC9D7BDD363C51742C4FBF1171601663D6AA1F33C7E84F7BC4FF955E |
Key | Value |
---|---|
MD5 | 1382392DFC6A8EADBB505E6CD5F6DE7C |
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 | python39-joblib |
PackageRelease | 47.21 |
PackageVersion | 1.1.0 |
SHA-1 | BF38896C6D9CA343802817068DF1189C8A99A5D7 |
SHA-256 | 9D7A5A334F11769547542FDDE1EB206D8ECCDF8C8CF4421A3E3F9055957F52A7 |
Key | Value |
---|---|
MD5 | D0C6118D207DE2084C5E165FCD845585 |
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 | python39-joblib |
PackageRelease | 47.22 |
PackageVersion | 1.1.0 |
SHA-1 | A098BA445C9ED79FA44F5D2A508712351AA94EAA |
SHA-256 | 0D4EA1B7C96A2AECF6BE5040A4EB2CB3E72E4F5C12649D030557F9BCA8D12FCC |
Key | Value |
---|---|
MD5 | 2591401B75C7016E3630D2EE12B32F37 |
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 | python39-joblib |
PackageRelease | 1.2 |
PackageVersion | 1.0.1 |
SHA-1 | BB919D7818BE36DAB3F091F635845F3CB846F161 |
SHA-256 | 0D4E7544BB4CCD41EE663074C331E035624735848FB914FAE7A1F406296B45E5 |
Key | Value |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//python-joblib-1.0.0-1-any.pkg.tar.zst |
MD5 | 03FD5C0E09556564964B67FC7839A806 |
SHA-1 | CADCE65BCE5C5E8A7DE6428A263D7D3CEBBDED74 |
SHA-256 | E89D5C50EC823492567922050333D6EAB0575D1D9F51046149C5B514EFC79DF4 |
SSDEEP | 6144:742p4f6mAWvw9DbYFPTgTnB6wxot9LQ82wuuLP5SMVo8lcdvwt3FDIeO:745yOF8MHt9ZuUu0evwTDIeO |
TLSH | T19094231B3B5F829C921621DCCCC127E37A5F9D705F28991FA381AB291D33FC87A98245 |
Key | Value |
---|---|
MD5 | 53F59EE2EA51C1550F3321237646A900 |
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 | python39-joblib |
PackageRelease | 47.3 |
PackageVersion | 1.1.0 |
SHA-1 | B4F551BCAD0DAAE15F880D9E5D07F24FCC8319DC |
SHA-256 | 9B88C4A2DC2490D4B08DF7C29A4A18980DC9F936FABC62F813FE88593F8E689D |
Key | Value |
---|---|
MD5 | FA1C528E053946E3C4412CCFEB6E524E |
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 | python39-joblib |
PackageRelease | 47.7 |
PackageVersion | 1.1.0 |
SHA-1 | 4C245AACF0C5BE1482818B8B65A1D8A4B64BD221 |
SHA-256 | 180AC49E4F55C13C8C7D047E53A3A0915ABB64A5D80968EA7680ED1486D8CB8B |
Key | Value |
---|---|
MD5 | DD0B93EF18383AB3B31AC3EAAEB1E5B9 |
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 | python39-joblib |
PackageRelease | 1.3 |
PackageVersion | 1.1.0 |
SHA-1 | 43F2B654958F51D23C8776D0C319127EA1ACDDCD |
SHA-256 | 13DF536E95CCE6C3196F511B774F84B6055E04853E469A7628401018EBBCDBBB |