Result for 054AEE5656F6F18803000B480A8B77EC8CD45310

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/__pycache__/numeric.cpython-34.pyc
FileSize84817
MD5EA682830FB02E8574D5EC4327D39E627
SHA-1054AEE5656F6F18803000B480A8B77EC8CD45310
SHA-256C8E6929317958803FE28A9819CF7EC1773F67E33E388A4D975CC505968C76CCB
SSDEEP1536:bkLs0mMQQ4FMS7UQM60ZROTMGcvJMVYW74jh4px5qX8OCBYC2l7WPXteJFwFqu1s:bT0mMQQ4FMS7UQM60ZROTJ4tjOpx5qXv
TLSHT19C83B4063FC5077EA383E2F561FE6543D765D06B6A102348308EA4B82FA6A3457BD6DC
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
MD5DDE5F9FD6C49C19FAAD5BB5097437261
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-1D0D8C8E27A9D4FFF267ADD822C85DCDC9061D309
SHA-256C9D965B99E03D086D84DDC23CB06EF23C585ADAA6E459C47B43DFE2AF3246D46