| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/numpy/distutils/tests/__pycache__/test_system_info.cpython-38.pyc |
| FileSize | 8894 |
| MD5 | BEAEAD30E3F1F72F16199F87DB3E8C73 |
| SHA-1 | 006739FAEDD51420E3EA8C78E71CCA250436E838 |
| SHA-256 | BDA984718AE62AD3C49977D26F92BC18569D51180ACEC41B705A4CE9A4FBB317 |
| SSDEEP | 192:D70tpHNzgGbasJhL+hP3Vdkate3qtLkhaUouqvM6AYwcUoy4E/kEt2xPkh:DU04amL+9Vdte6tLOaVuqv/AYTRyAE4U |
| TLSH | T1B402E8D84167CE0FFD99F3F9141F03AA8F31AB240314F2626606A16F9F251C65ABB761 |
| hashlookup:parent-total | 5 |
| hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | F9A0F6DDADE2195B0B5244514164BE4C |
| PackageArch | armv7hl |
| 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. |
| PackageName | python38-numpy |
| PackageRelease | 109.6 |
| PackageVersion | 1.21.4 |
| SHA-1 | F55D0AE7F47E16499784C362C4880C0C92D84779 |
| SHA-256 | 69498BE668599FCDBDEB7A21FE7A1197446D9E7234447900C192054E80C1C176 |
| Key | Value |
|---|---|
| MD5 | 5960AC37CFC24C0FA0ACC53107021A88 |
| PackageArch | i586 |
| 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://bugs.opensuse.org |
| PackageName | python38-numpy |
| PackageRelease | 2.3 |
| PackageVersion | 1.21.4 |
| SHA-1 | 95E578594153C0023D62096A58BF1BD65C324B82 |
| SHA-256 | 6E9BEBC2F0091DAD6C3298541D8D40A650E5ACBF08626E63F09006ED51C281D2 |
| Key | Value |
|---|---|
| MD5 | 485E3D27D3B335CD1039ABFD62DA4C6A |
| PackageArch | i586 |
| 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. |
| PackageName | python38-numpy |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | 40108EB0961B1BF75C3D0E6EE378291EE8E23630 |
| SHA-256 | 20D77F7808B2E97996B49F20EE71D37539B0889CF4A0F769C45F45C557A9CB8E |
| Key | Value |
|---|---|
| MD5 | DA28680E483B15E7C629CC55AE3CC629 |
| PackageArch | i586 |
| 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. |
| PackageName | python38-numpy |
| PackageRelease | 4.2 |
| PackageVersion | 1.21.4 |
| SHA-1 | 8D758F912BD521D7AD06BD7BC731CCDAC808EA16 |
| SHA-256 | 506E7E08EEFB7C39B9858B13E8FFDD34240D7CAA2A7C92643FAD568438ADEF5C |
| Key | Value |
|---|---|
| MD5 | 5F49873EDD51F115057311420FE6B5EF |
| PackageArch | i586 |
| 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. |
| PackageName | python38-numpy |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | 61769E8A5AC49AD5981CDD36B1EFAAECE151F5F6 |
| SHA-256 | 8AEA51A316C4C4F1E9E8346024E35612C8A6A5061D3B7F58BA8733529A63EFA1 |