Result for 0307AEDC80987D18DCEAF948A8AD60EB6AA12873

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/__pycache__/memmap.cpython-34.pyc
FileSize10594
MD503F265EB8373562B438DE0B59840DA82
SHA-10307AEDC80987D18DCEAF948A8AD60EB6AA12873
SHA-256187DC8FAAA1102A58BCE639959ADCDB1D7CB0C5091A3B322D62DAD4793B60E1A
SSDEEP192:U9yf2ayPUX7g+E31OQ7K8Ou66D23GaS9PGy9/GoXGh9k9w93GQJBslU8wzJ5FW:mi2RI7gfEY23GaS9PGy9/GKGh9k9w93E
TLSHT1A722930B2F8906ADA653D2B512791602D771D12F5B02230030EDE97C7FD9A6992FE7CC
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
MD56F90D889AA4C8DB47081438ECE469DED
PackageArchaarch64
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-13BEDD226F880734F2E7AE01EFB72FD7AE02A5DD5
SHA-25683B0F0132EC46BEDBD770B807B565DC4D603E4BD977C5956F4E25E42EE372988