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	64CD783774BCB01E219AEAE7A2EF3BE5
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	python310-numpy
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	63B937CA73F6CA4528911CA55B3836868CB4C7DF
SHA-256	66CA9B031503E7B2F1C5C638E659409F2BDB6A0C1BA95257FD9F490C4B7DC0E1

Key	Value
MD5	783BC6C5B213628386ECC8A6DECFFAB0
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	python310-numpy
PackageRelease	109.6
PackageVersion	1.21.4
SHA-1	BD4F7B83AC93FE129CE27B9CEF508AFA93F86686
SHA-256	0F2EE402D4076FA82DEC23CE7C3339D73FF571C813472EC3E9DBDD07CD44155F

Key	Value
MD5	164283F451F85A6B8F7D8BF61AF7D86A
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	python310-numpy
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	CEB54A7F59EAFF951BB9DFC97349C6A4203912CF
SHA-256	9EC2B173577C0455629E253E264468A7A31A1BF31A79A61B8D08EC9E93CF176F

Key	Value
MD5	C50D67C9F93C91BA50D196FEA60FC180
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	python310-numpy
PackageRelease	2.3
PackageVersion	1.21.4
SHA-1	E27112CE3171BFAEDA0378720E617A5232FF0281
SHA-256	9644613BA43E66B2CB893EF132E36356F2040F4118B80AD48F55D68A274D8185