Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	626C0DD4E5435C6DE394E3AA0C884A9C
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	python2-numpy
PackageRelease	10.fc33
PackageVersion	1.16.4
SHA-1	283BD93E4131C082CAF54E2B915571F0D7EE8BF4
SHA-256	F83B295EBDB6DCE402DF2944F0C4B52C8F6A2ED987CC6FAFBE5868C134E9B294

Key	Value
MD5	81AD8D1A01ABB76672A5D8DFB251B148
PackageArch	aarch64
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	python2-numpy
PackageRelease	7.fc32
PackageVersion	1.16.4
SHA-1	74D81EEAEB12954B63D2D150E7A3814ED23906AB
SHA-256	3B88DCAC647D468B9F57E28A73CED5BB298369A5A51E0D669DA91C9E1D3C6A45

Key	Value
MD5	CB61E23E7A59FF873FFF9B49A92D3E77
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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainer	daviddavid <daviddavid>
PackageName	python2-numpy
PackageRelease	1.mga7
PackageVersion	1.16.3
SHA-1	182041E22B0D4CCFCA7242B27AE6632367F9B797
SHA-256	CAEADB1B58704EA4497FB28DE671736B1423CCADD9C784B4E5A7682A3D7623F5

Key	Value
MD5	6C3D4A0E6D255765B93B9D488BA6CD03
PackageArch	aarch64
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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainer	daviddavid <daviddavid>
PackageName	python2-numpy
PackageRelease	1.mga7
PackageVersion	1.16.2
SHA-1	DE2023F48137BAD6C1D71471BD590DA335C52D14
SHA-256	9DBE920642E45409DE6EF6A1BB5C4C232EE8FFAE4E37EA900DE7CFA4AFE75DAC

Key	Value
MD5	1A18A26645A02721F7FB141D7C344BB2
PackageArch	aarch64
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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainer	daviddavid <daviddavid>
PackageName	python2-numpy
PackageRelease	1.mga7
PackageVersion	1.16.3
SHA-1	8FA23853D72E57095865DD558F5BB9E7271E9FAC
SHA-256	F700CB8DA32E59D800D81925922351164529AB8DC1AA890EDA4AE698D701CBD5

Key	Value
MD5	FE309DFF8625C2D66A2A4CF38A89DE9D
PackageArch	aarch64
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	python2-numpy
PackageRelease	10.fc33
PackageVersion	1.16.4
SHA-1	65A901771083F56D66C1B63BD6D447F3E04D1D4E
SHA-256	D8886DA6D97E3BC2637ABD38231F15894E790EA4210D5F574E563544B95DF877

Key	Value
MD5	AF6CF464FA118A1E20364B91C9D9F3E1
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainer	Fedora Project
PackageName	python2-numpy
PackageRelease	7.fc32
PackageVersion	1.16.4
SHA-1	072BD176FCE1B618A7C74A9EDAB56A60090137DE
SHA-256	31E572C31D0491B89A4EFC4C0ED19B0C2ECF158A901D2F0505FB02E539F2EBFB

Key	Value
MD5	20CF29C18AD7DC8F4BEAB494274F51C7
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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainer	daviddavid <daviddavid>
PackageName	python2-numpy
PackageRelease	1.mga7
PackageVersion	1.16.2
SHA-1	5F5874CE56D813236B7C9DEFEE4AD7F5B0EB5665
SHA-256	42F3203FFA64FE988D827724A4B6BCCF759520E7993187F33679E33C61DE2856