Result for 0260FEE5DFB4042B90B381F297AF3409C7312522

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/numpy/distutils/tests/swig_ext/tests/test_example2.pyo
FileSize913
MD5EBA284D03F8F7625DCE2DC83190AE591
SHA-10260FEE5DFB4042B90B381F297AF3409C7312522
SHA-256FCA02566029B3BBDCC02A83F6AABCFD13757576D6E0571F49B84001E71DAE919
SSDEEP12:QlNOr/6IdsR/43k9vlvCfRlSQ//DhJ9GfZB2dn7McHc+sIGfZB2dn7VPlYAEB2OJ:nvdsRQ09vlvCr/9Wy7V6y7tlK0y7YM
TLSHT1E1114080B3FA4683EAA5057CD2502117EFF4E8B39650BF512574227B1DFC3D78A6A741
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
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
Key Value
MD542341D71F23F1D15DD244B01BA94D277
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-11D38A8960B145DE67C2CE623C7ABAFC96F9976E0
SHA-256871450E3D2EF3F020355D7A6BB2B465DEC85045F1468A9AC10926C4F0D4187E4
Key Value
MD5EFE6D01DBE05652ABDD315B84FEC2045
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1A6170E6CD71DA3BEBAEFA13A2916211AD0D39FDF
SHA-256D17ABDD3C93F8D8F223337554034F4164571B1E94D8469828031EB3D53BE92C3
Key Value
MD5D3BDC8B83990FD1B7925BF66A20B93B8
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1D627EDD61CBCF136AE4A2CD37BAB8B06DAA3E247
SHA-25653B72F26FE855E886E7337B1B0774936C21C03DFE7C120E98542972EB50F1C49
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
MD50E6BA49F5A15477B2969A15522E93F22
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-1E2E2A060D05BB3A6F20D98871082BA0A2C6DD44D
SHA-256042B2F72234F16B38D3723F90E7B72D21A07FE0000B94A44EBD59EB2CE999FF8