Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python2.7/site-packages/numpy/core/overrides.pyc |
FileSize | 7092 |
MD5 | EB93B292C9B940C251AAC5A3B9D532A3 |
SHA-1 | 0255F26E7169E73E080127A8363D16DD7926470E |
SHA-256 | E864F2E35C53D734BB4101E0E4E34CC93328B569396F59C525BCF657ED267FB3 |
SSDEEP | 96:wrHlAOrHjTHZf0gLAVHnrU2bV/mAMhNG55CjHs80tTVCeWf9aI/HSZVQrV90EUhw:wr2OPTSgGLU2h+AM/HyVCeWZ/yHpw |
TLSH | T116E183883AF41172E1EA41B9D1BB411F8F31B07BB2523641756C95BC5FA863AC26FBC4 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 8B15592E9839B14AF4FF54D70C17D0C2 |
PackageArch | s390x |
PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageMaintainer | https://www.suse.com/ |
PackageName | python2-numpy_1_16_1-gnu-hpc |
PackageRelease | 4.8.1 |
PackageVersion | 1.16.1 |
SHA-1 | 0047CF327913B1D3DE0597808CEFAA3917690BAA |
SHA-256 | 637DC1CA383B2DD3249DBC432470E71BD6DD807E762344F5297511EA2B7C527C |
Key | Value |
---|---|
MD5 | 42BA148483C11EF388EC7A9437612A83 |
PackageArch | x86_64 |
PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageMaintainer | https://www.suse.com/ |
PackageName | python2-numpy_1_16_1-gnu-hpc |
PackageRelease | 4.8.1 |
PackageVersion | 1.16.1 |
SHA-1 | 54B915FA4BCB830808937173CFFE4EAC07F229DD |
SHA-256 | 9BA14610B64B7C825AC84651DF2C389FAE2F6026D68BF56FCB78B01569BAFB6B |