Parents (Total: 70)

The searched file hash is included in 70 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	AF27CF5A0BC8664B88C3B40644A61DCD
PackageArch	s390x
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://www.suse.com/
PackageName	python3-numpy_1_17_3-gnu-hpc
PackageRelease	150400.23.3.1
PackageVersion	1.17.3
SHA-1	00865D7FE8313E1945BB9CF472F177CC99B95549
SHA-256	99AF26AB3220645C9BA881E985DD075CA782180BE36B2E9786EC0BCE43810B88

Key	Value
MD5	DE769C2D04061328772B12938A0435AD
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	python3-numpy
PackageRelease	1.fc32
PackageVersion	1.18.2
SHA-1	0652308FC25DF8367226B1A75D4775EB16236BFE
SHA-256	B58249F097B34DE6B7870E9F19A7898A9C53864DC2533FDCDD31E9C39F2FE70B

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	404635B1C9DC2825E9B1A39FDCD1A583
PackageArch	s390x
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://www.suse.com/
PackageName	python3-numpy_1_17_3-gnu-hpc
PackageRelease	150400.28.34
PackageVersion	1.17.3
SHA-1	14AD0B566CBB67FF2F3B0DFE1161737F46C40A72
SHA-256	96CF013C3609ECB80CF144BC1C693E5F59A58DEE23381ED5ABE070C28F96F322

Key	Value
FileName	https://gbdi-packages.jsonar.com/rhel7.x_IBM_Guardium_big_data_security_installer_4.5.a.tar.gz
MD5	DBCEB0AEF732E9D31C5FFB2E8420429E
SHA-1	15679AD0960CA9070884097FE9BA2ECC38783A3B
SHA-256	925C1C1255FFFBFD89E12652B8EB16DC34A0D2D3A4D4387D0FB9578E843D709C
SSDEEP	50331648:lId4+316bTds+Nw09TDqqheBqLnXqNVkHLm2rUbsrc8WbGibv5VPBaxbeY44c:lIdD316/WBcbheBqLnXKSHHU+cdGijPz
TLSH	T1084A8899F4B0A5CFA426F53A5B90FFF252B0507296F6CC32E329034B51C77D03AA6859

Key	Value
MD5	94ACD2D54BC0B0163956BE553CAAD784
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	CentOS Buildsys <bugs@centos.org>
PackageName	python38-numpy
PackageRelease	6.module_el8.6.0+929+89303463
PackageVersion	1.17.3
SHA-1	18F3FDDD141E07F3D3BC12EBDA5DA9A1BE05A25A
SHA-256	0FBA2CCE86ACF503EDFE393C2D0233FAACB1700A8C73973170CE0AD9F1B7E4B5

Key	Value
MD5	10E24F0876B2FF7669B12DCCF0F75E96
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.
PackageMaintainer	https://www.suse.com/
PackageName	python3-numpy_1_17_3-gnu-hpc
PackageRelease	150400.21.61
PackageVersion	1.17.3
SHA-1	209CF2656A0A7CE25DFF0FEC980B295FF38834CF
SHA-256	90B0CEEF56264BF6771C34ECDAB2275A8C16A3B9515A113DABC6F94FD8C6FB88

Key	Value
MD5	054D9527C5C126123F5B594B46A6E8AE
PackageArch	noarch
PackageDescription	MinGW Windows Python3 numpy library.
PackageMaintainer	Fedora Project
PackageName	mingw32-python3-numpy
PackageRelease	2.fc32
PackageVersion	1.18.1
SHA-1	227B4F63CCF6EB0DBB3E0E134D507BCDB9DAFC3C
SHA-256	322260C96791350FE5FD9C83A44BEDEA078A64141834BD05630311E46017C9E1

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
FileName	https://gbdi-packages.jsonar.com/rhel7.x_IBM_Guardium_big_data_security_installer_4.2.b.tar.gz
MD5	8C158A0034356CE840FD960D8064E639
SHA-1	2631B42E52C9B356B42A4D475A66C43EBB62B2F3
SHA-256	B78F2EE8A8A950FFDB1A7F1E2B02741F3B0DEAB479824539F88D53F545899202
SSDEEP	50331648:dgAEl0ZfmUQnFtfBlExcMPmU2GuIrz4jEB6Urllw7wRfd0jP6bqSIM6:2rlmKFSxZJTu2zsw6ozwMVdqP6bqSIM6
TLSH	T1F80A33C6F8736BBAD823703951B21FD795A6413982D6CC3BFB110B6607DB3C21A9A41D