Result for 02D758E4A75DB14BF8C13F1D89170C8231C9391B

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/matrixlib/tests/test_defmatrix.py
FileSize11377
MD514AA41E7457E41BA389F89A4FDBB0E3B
SHA-102D758E4A75DB14BF8C13F1D89170C8231C9391B
SHA-256DE0F5539B2574EF220573A7F1D7AD92F6D29FDEBECA11F3E914C67C27AE859AF
SSDEEP192:6IWLPgnBlc0dPIXubxB+KpMYX+0c0o9rd5ki35LQe9jK:eL0hdxTaYOxxo
TLSHT1A8321441D2530D68975B97FFC0BA8D090B15DE13C8052CA8B0BF11A16FAD63966BB7BC
hashlookup:parent-total8
hashlookup:trust90

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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
MD5E8DB0561A1416AA15F718AE80819D47F
PackageArcharmv7hl
PackageDescriptionNumPy 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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-1C487A5B1671401F22D532F0DEA27367E23FD89DE
SHA-256AD2C9E208C350921A1DF3199D75220C697595BFA52D4DFD27E3B09C4D62217F9
Key Value
MD506799B5D22AF13CBE90CD490158F5F91
PackageArchs390x
PackageDescriptionNumPy 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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-1B4DC1DBD481D6F5680F97EB51ACF2AA0E8EDCE2A
SHA-2569001F920FF068EF76FB1D6969C94D32B8EF7B4EEF03F7E293B7DC2354870992F
Key Value
MD55B9C17CD3D5B6001DA3DE2AF828BD44C
PackageArchsparcv9
PackageDescriptionNumPy 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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease0.3.fc15
PackageVersion1.5.1
SHA-11ABE783A4B4F6596C28C6068C1EC3EEB7EE6B290
SHA-2567834CFD80B264B0BD4255B2163017AA53FABC66F76BE741C9B408A71476BEA1C
Key Value
MD534B5C546627AD261F8D2E6612C9837F3
PackageArchppc
PackageDescriptionNumPy 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.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-13D6AC7F44DB3F8B74A3F8C765D64AFC1CF0402B5
SHA-25646514B108AB3C368758CA26FEDB62D1163E383DABE9AA54FE55E46E37A78764A
Key Value
MD5FBF10AD580803C3B3B343430CEFC2966
PackageArchs390
PackageDescriptionNumPy 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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-125FF27D5691DF5F5B60959A68C8B650F42B4E892
SHA-256125A47CF9F58E8DA9B43E89038A9CD3AEA8427CDD101887E6EAE43FF833E3BF5
Key Value
MD5481F747D6AF96DAB58B57AFF5A5F09B1
PackageArcharmv5tel
PackageDescriptionNumPy 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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-1B5D68C22C6DABDB7642C412D3F2400DED1E1DB90
SHA-25625FCB410857C605C2B43B8101B2585D6DFE4EECC2297DDE689B3D42030008207
Key Value
MD5E55249D763F2929E94366498C88B8D6F
PackageArchsparc64
PackageDescriptionNumPy 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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease0.3.fc15
PackageVersion1.5.1
SHA-17153ED077A9725C60C00ECAA93AA22ABB417839A
SHA-25615035F48E69656F19B8CA08973C28C8CD32E702DBB82B5435614313C6FB36307
Key Value
MD5469203E0BDCDC5234B4C4A56B661F64F
PackageArchppc64
PackageDescriptionNumPy 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.
PackageMaintainerKoji
PackageNamepython3-numpy
PackageRelease1.fc15
PackageVersion1.5.1
SHA-1619291A1C44DCA95A0F036CED41CC8C1140D19E0
SHA-256F8F929892BB436953D598FCEDF5140AC0700A5F3FC5E409B86539A7854E8616C