Result for 0112F8735D71CAB762DFFD02A1F579D3C18C9926

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_scalarprint.cpython-34.pyc
FileSize1425
MD5FF5369A76B1093A266361F0AE351EDAC
SHA-10112F8735D71CAB762DFFD02A1F579D3C18C9926
SHA-25651FED14FC5CC3C5B45D1207AB50644022F6C7FBB234E4885A3B66CF00C5128BD
SSDEEP24:wJP79/jSmimlp1unhgLWaG69DAFPar7rQUWay:wJP7tomlph9NaorQUWay
TLSHT1CC21565107DBDA0FFB90F3F8A4256322E931F43E9F604F068FC8A03A2DC67462965458
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD51E79F24F1CE2383809BA0458F954C643
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-117672A0EDC2E9E0C83FED6BC39A2F15D022B1EBA
SHA-256E770185F352B907E2CF9FDF63655E53B11C4226E938CE1C687DFA3050DDF2FA4