Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	BA4ED6BF24A44A20DB999BBFD364D091
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_1_21_4-gnu-hpc
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	0C7C315F312C9E81F368537D0A739734BDCFBE1B
SHA-256	45AC764E6A4F867242790467924B5271C09AD9FA38A822822BCE6CE08A244FEF

Key	Value
MD5	C7283E101654B5807C29603A25B9D76D
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_1_21_4-gnu-hpc
PackageRelease	2.2
PackageVersion	1.21.4
SHA-1	FC03DD386F227027508F41989343BAE22EBB58B4
SHA-256	CF1B87A6F7E499055DE9F6261E2EABAAE8B6FA88E6679777D564714DBD20BAE7

Key	Value
MD5	10A226D85C2EA25782CC0DB57B04A09D
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_1_21_4-gnu-hpc
PackageRelease	109.5
PackageVersion	1.21.4
SHA-1	ACAB4432A95D8DAC679D9DEAE0871B0AF7C6C0C3
SHA-256	E8E389B255F42B3456D8744B9CED9F87234B4604A46C169ED5C6323DC44D1755