Result for 03A4094190294AE3CB7FA0441981D01B8D50BC2A

Query result

Key	Value
FileName	./usr/lib64/python3.4/site-packages/numpy/tests/__pycache__/test_ctypeslib.cpython-34.pyo
FileSize	4387
MD5	810913E2F1FBBA1082A105DB199D617D
SHA-1	03A4094190294AE3CB7FA0441981D01B8D50BC2A
SHA-256	5310945A3B1E64B219F3CF5AB3A2DEEF7C53176C0196EFC65255C0AC7C4A7C9A
SSDEEP	96:UZSUcajEYY2R0O16hG9yLiBWVsGnKVwOo7xUr456gyh:UZS0jHdP6hG9yLigOGKFuxUQPC
TLSH	T1F091E8A263C3898BF180F2BA95763302DFB2D41A6B41372156F4E83C3FC4B949871399
hashlookup:parent-total	8
hashlookup:trust	90

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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	87282F936483CA51EF672817D2B6BBC8
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. 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	2.fc23
PackageVersion	1.9.2
SHA-1	7DD14F1C85A7CA6D46B811052C23981E4607C757
SHA-256	6968ECC4DF0FF3627D27C037414C61303885CBED6FAD055893E2DF1A428FC6BC

Key	Value
MD5	A09D69B5FDB462486CE59ACFDC21C0EA
PackageArch	ppc64le
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	2.fc23
PackageVersion	1.9.2
SHA-1	F9D39EF4B4F9971A4B8AEC8B55BEFAF0773D6B4E
SHA-256	023D269E700BB60A793F1F5179CD2057F30D331E0D6080114CB114979B4C9EAE

Key	Value
MD5	A536D238D46E695FC2C7F4AD9B9041DD
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	python3-numpy
PackageRelease	2.fc23
PackageVersion	1.9.2
SHA-1	21842F0F79159DC2A1AE1D2882056467DBEE39B2
SHA-256	5220043D30905E05C11D1BCB97FAA4A234758E71AE64A09167CDDEA8F8919027

Key	Value
MD5	E47EB0F136DFE3B7248558878E26C16F
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	python3-numpy
PackageRelease	1.fc22
PackageVersion	1.9.2
SHA-1	580DB9DD1963F8D95920B8CC84BE16ABF715D68D
SHA-256	5AA680A7774B206172ACEC893FC8F0999A8D11066BF47C57D24C2EECB3F50A92

Key	Value
MD5	7F4B9A31C916FDA1999B5D4AC717C47D
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. 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.fc22
PackageVersion	1.9.2
SHA-1	D7D5C9507242A4C8A454949E549CC43C1E112BD4
SHA-256	51F46F5A7DC11EAE87940B55F3274C79B0974A61470025AB63788465FEB721C7

Key	Value
MD5	49B9C4D81E4334F8B60BC0782881DD65
PackageArch	ppc64
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.fc22
PackageVersion	1.9.2
SHA-1	4F8E0E460D0B344DD87E0B9EB98D376368540BD8
SHA-256	88C0BE48B1D3CE73D6F5A77C1E9D84A60154DC34E0C4B71EA378F886516807FB

Key	Value
MD5	1FBEE834511605A47E88E19560A3DFE8
PackageArch	ppc64le
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.fc22
PackageVersion	1.9.2
SHA-1	E280C8FAF445459DA004A5603DE99A910B8615C1
SHA-256	CFB6E33D3EB44CB35CCF16579A750D9133F0F797AD799BA948F3E0347D1A771D

Key	Value
MD5	363A1A36608740AC0B746E1F994D8D64
PackageArch	ppc64
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	2.fc23
PackageVersion	1.9.2
SHA-1	15AF6E4CD908CD3C6A60DB07B33B6F110FEBD470
SHA-256	56517568F0260CA0C6ABAC441E2054A7488239FE73059C6685BA294CC7D3DAD0