Result for 0134041C451545890902203A875D22C27CBDA3D0

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/__pycache__/add_newdocs.cpython-36.pyc
FileSize196610
MD56B71C92EEE44878E75DDBDB5BE1BE2D0
SHA-10134041C451545890902203A875D22C27CBDA3D0
SHA-256269B5050A24700AC438BBB79A3DEA04FFA3550BEC853C7C57506485D94141086
SSDEEP6144:BenL0pXpMYcKjJM8qySNpyiX/PdfNAOP/DaaIbZ0/odp8Vgr9yHKQZWU7ko9X2nu:eL4XE
TLSHT19F14A5073EC407BA0393C6F665EF5886C724843B9765684830DE69742F26A3953BE7EC
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
MD52B0266EE61EF88E4A20BCE8268BF1C0A
PackageArchppc64le
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
PackageNamepython36-numpy
PackageRelease3.el7
PackageVersion1.12.1
SHA-166ED7222D1E4DAEA23F414120B0B8BA6E888CFF5
SHA-256CCBA0CDF3DBCEC5B135D8E12C3090AAC6D288EBC30A9E33AADDBA411922779CD