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	C3BDF7AC4549B715A0AE2AAC936040CA
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	lp150.1.22
PackageVersion	1.16.2
SHA-1	C9BD3382CC4C25AAD9618AC503E764274450BB71
SHA-256	83B48D3B8B6704DCA21AEFCA05CDB0ECD3ABBBBDD3F9890EF5E3C327166B8903

Key	Value
MD5	248BDBFFCE87A4AE43535A3AFEA73B44
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	lp151.1.65
PackageVersion	1.16.2
SHA-1	EDCE8D095D927D257D6E4D4D714EC52D3CDC9F8C
SHA-256	87CD5F59084146D9FE6D9732EE5754D7F6022EB86CDDDC126937A597A7FC7B08

Key	Value
MD5	88AF768D5705305E6476AD7EE8B4CAA3
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	1.55
PackageVersion	1.16.2
SHA-1	273C181BA96D150A6340A93EFD99916EBAD5627E
SHA-256	DA85851C2582FCB8F4EC831E073F3021A59C59CF38CAEFC10003FF82FA309ABD