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 | 8652C5E9E949E80FF0590F55D1DBB2BB |
| 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 | python2-numpy |
| PackageRelease | lp152.1.3 |
| PackageVersion | 1.16.5 |
| SHA-1 | 9078757EB472B20B4537EC9A017D09364DFC8485 |
| SHA-256 | 6D00AC20590E843CF6219F4E86619E3272E9326E091DC21095BE32614B1DF8A4 |
| Key |
Value |
| MD5 | BE1D447C7D3A14153A429E4D41F80A2E |
| 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 |
| PackageRelease | 1.40 |
| PackageVersion | 1.16.5 |
| SHA-1 | 0A857FE666AF8CA675CC51B5612A8F049F9F8F28 |
| SHA-256 | 80B48A683264327E9D5CD5E9DA071E554292E828802482ED5961BFDD7462EF06 |
| Key |
Value |
| MD5 | 88118BB70398CF0A14BEE9DB2A8E8F6B |
| 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 |
| PackageRelease | 1.40 |
| PackageVersion | 1.16.5 |
| SHA-1 | A319802357C995B6340DDCA4B0780B3AC5C2CA0C |
| SHA-256 | FE6F73568F6AFF738BD5DDE3D3CF60D33638B53A7DCDA1B739DB1B413226B99E |
| Key |
Value |
| MD5 | 23D91ABAF2E969456A49AABD0B7D6710 |
| 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 | python2-numpy |
| PackageRelease | lp150.3.3 |
| PackageVersion | 1.16.5 |
| SHA-1 | 4DC2E6310ED0C5BD0152BE9F1990413AFA1106DD |
| SHA-256 | FA0156C9A23976377CB1A7BB74E997B7DD9964D51B7AAA912435647C65D47712 |