Result for 0D7E7868E06E2172600DCC55302251D86DCA180E

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numexpr/cpuinfo.pyo
FileSize42769
MD596EA255712F71337064D77564016A0F8
SHA-10D7E7868E06E2172600DCC55302251D86DCA180E
SHA-2566380F4E28A68557C4EE172FBDB7BC7C30E641C205735BFBED315887E68971D1C
SSDEEP768:lUoezm5kHPLlanuGkEmWRybFfEhq3Yg+rx4EnQnrvyFb15RFBfljts5GFKWQT:Kosm5kHPLlanuGkEmWRybFfEhq3Yg++t
TLSHT16E139ED0F3258B5AD5A509B5A0E0521DDB7DF1B3E342BB8A6579103F1C882FBC86A7C1
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5ABDDDDE32F436A6A495BD78EA02C6855
PackageArchppc64
PackageDescriptionThe numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime.
PackageMaintainerFedora Project
PackageNamepython-numexpr
PackageRelease4.fc22
PackageVersion2.3
SHA-11E7B71F92D34FBE52D3F717A8D90D09E6D126D66
SHA-25675EE499C2F734699D18CA91681DB70431B763E7D7BB30C5824A876B253A38B0D