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	924818C4EE7A876DBAB6024380EBAF86
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	1.55
PackageVersion	1.16.2
SHA-1	36316D9EFCA1F4A7ED98C102FFC205B632B9EB2E
SHA-256	1E390CBBDCD182688DC27D1B8D8DF5764E3BE721AD48F4136BB0C73DF3AC2F92

Key	Value
MD5	0CB17FCF5C8364A1C2640133460DDC67
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	lp150.1.22
PackageVersion	1.16.2
SHA-1	2BF4363AF67817449452F0DEEFF21CEAC7B1C984
SHA-256	FC174FB9DAD57C525C9793FD2AF68B5AB0BF31B3E371D4F3634035DBA4F79492

Key	Value
MD5	CB00EDE017D35BFF982EC6A91C2D6226
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	lp151.1.65
PackageVersion	1.16.2
SHA-1	223DA0208C9AE808247EB77D6AE255691E5AA3BF
SHA-256	49F0AA42EDA2010E5B5797FD18C04A083E7F48DAA0B4AFCC3571D508911CE0C7