Result for 017289333610C2510B1200B01D76FE04A2F58ABD

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/fft/__pycache__/helper.cpython-34.pyo
FileSize6510
MD581DA2347F78E0B42DEE97F9F52802ACA
SHA-1017289333610C2510B1200B01D76FE04A2F58ABD
SHA-256DD9D89330519A51007ED1F579AF2F0E66D599027A361FEB6BC0557CC68A83910
SSDEEP192:ZgBDojGjd3dU1lmjRCFoR/qXx9KyRBq9B5Huo3:ZszU9oDz3
TLSHT1A9D1844A1EC516BFA167F3F904FE1602D731D06F2A8B720630ADA0B81FE562A537D64C
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
MD578133D1457A5BDDAE3A3A32EBB3FC147
PackageArchppc64
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
PackageRelease6.el6
PackageVersion1.10.4
SHA-1D4EB92D23EE3CDB4F0E17E4A867CFCEDBB0448BC
SHA-256AD1D92118A3797FA00CD9D4C4A6DCF8E588045EF53BF53FB21B6C0FAAE6E27C7