Result for 01633E7BA1113D046ACC48486B4E3B0651262DD1

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/doc/dispatch.pyc
FileSize10167
MD58A904B89801541D81EA6BA3157B7CDDD
SHA-101633E7BA1113D046ACC48486B4E3B0651262DD1
SHA-256226ED1DAA44AD0D971EDAE12DD026A5847671EC8213147648653B3B0C719139B
SSDEEP192:AdOTmRI0TIIjqtLIHmcqKx1KxKSKz5yelEtmlwUy28U74anyoIIIIIs:AETcnIIsIGo1lsml5y2dcanLIIIIIs
TLSHT1A22272AF3BD26D30431B856A844EA84F6F25E733561C0C10B47E594D33E192A9776DDC
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BE1D447C7D3A14153A429E4D41F80A2E
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 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.
PackageMaintainerhttps://www.suse.com/
PackageNamepython2-numpy
PackageRelease1.40
PackageVersion1.16.5
SHA-10A857FE666AF8CA675CC51B5612A8F049F9F8F28
SHA-25680B48A683264327E9D5CD5E9DA071E554292E828802482ED5961BFDD7462EF06
Key Value
MD588118BB70398CF0A14BEE9DB2A8E8F6B
PackageArchx86_64
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 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.
PackageMaintainerhttps://www.suse.com/
PackageNamepython2-numpy
PackageRelease1.40
PackageVersion1.16.5
SHA-1A319802357C995B6340DDCA4B0780B3AC5C2CA0C
SHA-256FE6F73568F6AFF738BD5DDE3D3CF60D33638B53A7DCDA1B739DB1B413226B99E
Key Value
MD58652C5E9E949E80FF0590F55D1DBB2BB
PackageArchx86_64
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 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-numpy
PackageReleaselp152.1.3
PackageVersion1.16.5
SHA-19078757EB472B20B4537EC9A017D09364DFC8485
SHA-2566D00AC20590E843CF6219F4E86619E3272E9326E091DC21095BE32614B1DF8A4