Result for 0465BBF8F9D50EC344D05A8C306DD1FC2D90F373

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/__pycache__/__config__.cpython-34.pyo
FileSize1466
MD52C867E728A7982CEE7456C5004663628
SHA-10465BBF8F9D50EC344D05A8C306DD1FC2D90F373
SHA-2565C94E1F4A205130276A99481E3223FCAFE2B47F70A54E9B19F51E15CEEB38EDE
SSDEEP24:utCmhJRaagEd2sJEjDTLfArs3Q/gXBUBBF/ISZjSwCjZDSQVI4C+WpNCzd6l6pM5:uBJ8id2sJMXQsA4RUGVwukw/WpNCHQqo
TLSHT1AD31FEA3A3983947DA29B6B9F03651003E56EDDF5648F7414635E03E38E07180A352A0
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
MD587282F936483CA51EF672817D2B6BBC8
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. 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
PackageNamepython3-numpy
PackageRelease2.fc23
PackageVersion1.9.2
SHA-17DD14F1C85A7CA6D46B811052C23981E4607C757
SHA-2566968ECC4DF0FF3627D27C037414C61303885CBED6FAD055893E2DF1A428FC6BC