Result for 003DE602F8B05D4425B765617D46D3B5F4D99053

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/tests/__pycache__/test_fcompiler_gnu.cpython-36.pyc
FileSize2970
MD5DF1BD9B1468F7DA18F886778B643DE27
SHA-1003DE602F8B05D4425B765617D46D3B5F4D99053
SHA-256B9648CB2702A7BFDAD0ED32F08F79078D49AF6D3DC26AB0092B907584EB8962D
SSDEEP48:jZKWZOhhGHEqHkhQ2XMnw6//oUI818v6O1rlmV/3GByGw:jnuYTHkhHHXlV1xmJUw
TLSHT19E51831C688A8EF5F926F7F587CA0FA1C3F5C3BA9384C06B5A5841310B103FD0A6282D
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
MD58C009189374D738736A9BEAAF7B904C7
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
PackageNamepython36-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-13B9092023D90F3E94A038BFD189332B1E13F7ADC
SHA-25602F12DB1968A100CA94B2108B9752F9F89FF882186BD98D951B431A4FBEA16CD