Result for 01A78BE53E050F5ECFBB594A745F78D733AA9A05

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python2.7/site-packages/numpy/fft/setup.pyc
FileSize910
MD5814D4FD4333A6C139DA8269EEA751738
SHA-101A78BE53E050F5ECFBB594A745F78D733AA9A05
SHA-256F2C4769B5902DBCA2FA6DB8A6A6EE7AA263A7803D9461EB8480AEE1367332238
SSDEEP24:0ntMUdARm8LWYzW5ZjYTiMNl54tFOQjxug/miMGOQ0c:BsARmw7QIBT6fOQ1zOBGOQl
TLSHT1EF11638162FD8EB3E2E904F8C0404E234EBCB477B680128199A8E6FD29D47B29E16144
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
MD58B15592E9839B14AF4FF54D70C17D0C2
PackageArchs390x
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://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-10047CF327913B1D3DE0597808CEFAA3917690BAA
SHA-256637DC1CA383B2DD3249DBC432470E71BD6DD807E762344F5297511EA2B7C527C
Key Value
MD542BA148483C11EF388EC7A9437612A83
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://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-154B915FA4BCB830808937173CFFE4EAC07F229DD
SHA-2569BA14610B64B7C825AC84651DF2C389FAE2F6026D68BF56FCB78B01569BAFB6B