Result for 059C01686652F88A428BE8B83B88DAE286C42010

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/npyio.cpython-36.pyc
FileSize63889
MD55701D3C5F47920CB4C38806C2D6113C5
SHA-1059C01686652F88A428BE8B83B88DAE286C42010
SHA-256C50CD27B86F7A96BCE199A5903DBC940FDC5A3A385B016800F17E52CA3941B45
SSDEEP1536:6uCdVfG+T4K5tDElZREHORYOczHgtN6cPMwiOeaNHjoF:HCGU4K5WlYpzAtZMwiOeaVw
TLSHT1055318073C804266FA93F1F852DE9041E334A12F636452C270AE52B83F59BB569F97ED
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52BE9CA3D1F01BB7427702BB0E86396D7
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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-numpy
PackageReleaselp150.2.15
PackageVersion1.14.0
SHA-1BBCD96931D09BDA3BD0D67ADECB38E1481702E99
SHA-25621902A891DAB605CF3A2BAEA9FC60D92582B7849465A3D276CD4E47AF74298E4
Key Value
MD58733789612E5801D49E02B65B1FDD4C7
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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageNamepython3-numpy
PackageReleaselp150.1.49
PackageVersion1.14.0
SHA-10ADFBB676206CDA971C8897EB4222969B77E7515
SHA-256970E564BEF04C7D172092CCB3DAB55CF24EB9C8B13705EB36BDDBD55A51CD4CF