Parents (Total: 4)
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
| Key |
Value |
| MD5 | 1DB5C4EBBE8FE461C8CCE5D808D0036D |
| 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 | python39-numpy |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | AE59BDA389CFDB23FAE7BD03B0D9E6C117DB807C |
| SHA-256 | 90071E5E4F1F220D84D2F1A947FC7B4C4463049EB6CC7AECD6F9BCE30D071C8E |
| Key |
Value |
| MD5 | 092D83136143A7A1E286EBE8514E0553 |
| 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 | python39-numpy |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | E78B2170DC1B61C12460DB51F1E0A0A24BE5BE39 |
| SHA-256 | 34E54C8DF8F1CA60EBAEEC205889DE1AE291E798F8AAF8EE43C6F5BA9D42790A |
| Key |
Value |
| MD5 | D6B5D71C3323FF78BC08D51BB8D2D86F |
| 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 | python39-numpy |
| PackageRelease | 2.3 |
| PackageVersion | 1.21.4 |
| SHA-1 | D0EF35A07EF603E604B42F0D1ED9561EF0CBF6D6 |
| SHA-256 | 3D2DE41475BC092E22DC9CEEF009E6C1387024B78AF11BAC11D6CF13E6089ADD |
| Key |
Value |
| MD5 | AD09A641883AE4D56CBC734378FE90D5 |
| 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 | python39-numpy |
| PackageRelease | 109.6 |
| PackageVersion | 1.21.4 |
| SHA-1 | 4C73D724DE6FAB41F668E9118D6E8A1E2D11991C |
| SHA-256 | F29072E324B271FBB9A7737780C64D27FB788497CA8343F9878A345CF9E98DA6 |