Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python2.7/site-packages/numpy/testing/print_coercion_tables.pyc |
FileSize | 3486 |
MD5 | E520B703C03517A83F6724883D688A12 |
SHA-1 | 014659F7AE348663BB91260575344AB34EF8BD9F |
SHA-256 | 8F3071DA6C3E59E646509C11844D80AD9F8A10F67B352F34CF6131A184308835 |
SSDEEP | 48:wJdmk7PDFKvzYkiOQnP/oiOQjmHPAiOQTEiOQCwh5fiOQOd1+vsmxv9mMiYYiTdx:wZ7PqzYtPpmHP9PqvbvN3hKgnoax |
TLSH | T17A71FFD0E3F48523E290197DD0B14317AE79A4BB73612B6222B8A47A7DC4729CC573C6 |
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 |