Result for 067456CD80345CA8F7A9649D6BF3EE4A1178601B

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python3.6/site-packages/numpy/fft/__pycache__/info.cpython-36.pyc
FileSize7403
MD5F20369B81FB2C29D90ABE6A2397B3751
SHA-1067456CD80345CA8F7A9649D6BF3EE4A1178601B
SHA-256553BB31E7ED04A4428E6E02F0D02D07F6F3B66AC8D2ACCAADCD263CD891D6FA1
SSDEEP192:149Zj+WdE/dXS5rioEHeTIf53uaqd8frb+wTpqcN:gKWmFi5tPu5cdCrb+wTEa
TLSHT100E186DB2D083731C051C27162DEABCEEB25E5673191216B6468809E3B49A1693FC7CB
hashlookup:parent-total2
hashlookup:trust60

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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
MD5C8710228F72689CF69636C1F84A6E286
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/
PackageNamepython3-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-1DE849615A7AAE0B571E7F33B2AE03DAA93C28A69
SHA-256A9DFB354642DC54BE8645985B65736AD518AD5DAD93BFD6BBAFEA51F0AE84C6D
Key Value
MD597A4B9D836309D5FF7BB15018893ABBA
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/
PackageNamepython3-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-1123D4D5645C08D1EB2024C35E98DC441C60CE9D1
SHA-25689D28B0911384CE7D852BE8B469C3A6ED2D012BC8851A2ED70947721F5E75B35