| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/distutils/command/__pycache__/bdist_rpm.cpython-36.pyc |
| FileSize | 946 |
| MD5 | 6877DCF2EF7120D762179CFFD2E5F602 |
| SHA-1 | 047E798C35A134FA3FF9CECDBEEA9967C0E8C955 |
| SHA-256 | C3BCEE7D07DB87472128D17FD118B34832AC52A6A09E3DDBCEC2AC0231AB0825 |
| SSDEEP | 12:QKD9Ori/7fAy2ckZKcowPStrzlQ2RNPKO07RcWB2d4bvvDWTBgTKACiC1RfZIMbu:lOO/0vZ5urzlQMyOQK54bLWlgmkIEMLO |
| TLSH | T1EE11444505A81160F9CCF2F8A807B0370DB13FAB53CAA19E77A135895D8D1664C77C01 |
| 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 | CA15D40EC5A77F93121F8B389C035AF5 |
| 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://bugs.opensuse.org |
| PackageName | python3-numpy_1_14_0-gnu-hpc |
| PackageRelease | lp150.2.15 |
| PackageVersion | 1.14.0 |
| SHA-1 | 3E865217074D64FBDC2BBB33460990CDD16F097C |
| SHA-256 | 9A1FE605286A48B8BB21EB1ED32CBB01B84AD254951CA64D80D74D7010E3DCF8 |
| Key | Value |
|---|---|
| MD5 | 966F03137AEF5DFD4D59797CA3C4171F |
| 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 | python3-numpy_1_14_0-gnu-hpc |
| PackageRelease | 4.5.1 |
| PackageVersion | 1.14.0 |
| SHA-1 | 2C6E9860C61F8632DB634DF7DA5444B406C68CC5 |
| SHA-256 | 987477DB6F9C43A2614FDDD1D717093755DC21D3F97A73D5030771D54E116635 |
| Key | Value |
|---|---|
| MD5 | C90DDBA2671A4AD6984AD06CA10E247E |
| 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 | python3-numpy_1_14_0-gnu-hpc |
| PackageRelease | 4.5.1 |
| PackageVersion | 1.14.0 |
| SHA-1 | 96C8A9379D420F8C933A35647B3C916890FC332C |
| SHA-256 | 952C16F21CEC4AE69E994F50CA95FA4507EA983A5711B395744A9F993B11AE7F |
| Key | Value |
|---|---|
| MD5 | BFFD0C71E482A52AA938A1A9225EEBDD |
| 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://bugs.opensuse.org |
| PackageName | python3-numpy_1_14_0-gnu-hpc |
| PackageRelease | lp151.4.15 |
| PackageVersion | 1.14.0 |
| SHA-1 | CFFCDA1EE7A77A3A3896D0C211D7EE2C80E64D99 |
| SHA-256 | 74C7F127792395843280ED287DF2A81F7AA97F08E3C74D645CC85A65B8251235 |
| Key | Value |
|---|---|
| MD5 | 98CE6269F7C957E2B3D22A5128F4C103 |
| 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. |
| PackageName | python3-numpy_1_14_0-gnu-hpc |
| PackageRelease | lp150.1.69 |
| PackageVersion | 1.14.0 |
| SHA-1 | 0897E527E1F17BA32F729CCDC0C95D71132F0E35 |
| SHA-256 | DC53FE0B0C962514D8338F2013736F7CE7D729A9AA3D6E85E659145E0C034D91 |