Result for 02B0874DBD97AE6CE0B3CF7F8C8B138F35ADFBAA

Query result

Key Value
FileName./opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/numpy/ma/tests/__pycache__/test_core.cpython-35.opt-1.pyc
FileSize152479
MD517BC047C59CD92DC3BEA2E3E545B7891
SHA-102B0874DBD97AE6CE0B3CF7F8C8B138F35ADFBAA
SHA-256E545B3A8A1A2B9EE67CCA29545071205B575A055EDE6CE3A3DF1E86F8CECAFD5
SSDEEP3072:9mqffEbdkMF6Hy7xkO/XJ01/pi0t4favtup3k/Zxp9uUebACPA1TsXHOlAzSPlxe:ghi/nvbRxpk3rP6hFq
TLSHT102E3BB82B7D6888FF151F2BAE13443129EBAF54A2F116B4106F1D63D7ED4780AC653CA
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
MD54C3223F997EAB0F0017D2C36308FCC0F
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. 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.
PackageMaintainerCBS <cbs@centos.org>
PackageNamerh-python35-numpy
PackageRelease4.el7
PackageVersion1.10.4
SHA-1F5FDE2C7509F0AC2AD36694B9DA1ED2408C82314
SHA-25664CBEEAE1CC487AAAB51EC046714E5DF80C28540F897096A19F3AF6F54987D77