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	24D30A3394F1A528F2996BF506EA4F55
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	python3-numpy_1_18_1-gnu-hpc
PackageRelease	2.1
PackageVersion	1.18.2
SHA-1	2A291879761F992106202C81FF126BF0985C7653
SHA-256	1837C1988EF3A8567D557E876E515DE793E55CACFBE8E3FD4D7F2341D5AC45FD

Key	Value
MD5	EC4D5A4C78C9ED08C28CC5DE15F87652
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_18_1-gnu-hpc
PackageRelease	2.1
PackageVersion	1.18.2
SHA-1	0FF8330F54D03E7E668553D23FA597AAC93E0B0A
SHA-256	94C4BDC993E0A926682A24902C5D15DDB19A1D0BBD2B75B7579BBE3A54DB6633

Key	Value
MD5	7E324C15B7B8DC470210B06369FE4611
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	python3-numpy
PackageRelease	2.1
PackageVersion	1.18.2
SHA-1	22F7FAEBA5D9477E72EAD5FA8DE2AB37ABAD09F5
SHA-256	D847855BF76E2BAC28EAD415A53B89FAE78439EA6BDFC2843BCD3BBB3D9F0DF7

Key	Value
MD5	BE49E6C5C9B2868BBA0A3F79F3768BED
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
PackageRelease	2.1
PackageVersion	1.18.2
SHA-1	B99E940C0FC68F1D93A4A3534AC677922264762C
SHA-256	E983C7D5F3C3521B62478FB44FFD49348198371E0A3C4142F4435B2B6F368DB2