Result for 008F0060F4C82A8A0BF321452659AB1F6288BF5C

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/numpy/matrixlib/tests/test_regression.pyo
FileSize2127
MD56B25617AAD64200F44C19CC2E14EA6FB
SHA-1008F0060F4C82A8A0BF321452659AB1F6288BF5C
SHA-256DBCED8578FD136B59E00D5A1C6567681CEF17866FD4D1C795A4D56BAC61C0D13
SSDEEP48:ZfyR8vzS4LVXT7YUiwpAll+Ee7CoW2U2TR7OhI+7Y7hb7eP77z7L:xvzrJfYUiUAl+ESDW2vTlEY7lezbL
TLSHT18141A080A3EB0977D9B75C75E5A02217DEB5E1B37302AB522224713E29D834B083F381
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BF2D31D6044C128428FEF7219359FC46
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
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-15E8D035948CDE1DD0F587D9DDF5D124467735C71
SHA-25664AD5B0C017B339864CE3704E46BAC3E873DC10A6CA080E81D32876EF729EF65
Key Value
MD57853923DED2824B65560486EE4401080
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
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-17A8E19F6D5635D6E26B64DCA5F302652B3F6709F
SHA-256B7F7EE39977EA302F9FB417464AB5C774339FB756F2D3AE7B0891763F9CC6124
Key Value
MD5F3972ECC5055016D4EB99CD77C361CC4
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
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-10586AFA2243CD67F3690A9102E048C5E05CB3ACF
SHA-256EEF1EEA9E457544EB923012B5238A9AD80F31CC769D06FB86C2B7EAD4632F7DE
Key Value
MD5421DD163A6995289A0BB603744FAF2C7
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
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1AFE688F3DCE135533999108CB3BAA02B62DE52FE
SHA-2563687501B6716E9214FDF72EFF29CF06C27CA952B35548D1BA6BC9BE4D74B19D1