Result for 064AAC117B4B3E81072570AD94ACF419718BECC7

Query result

Key Value
FileName./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib/python3.8/site-packages/numpy/distutils/__pycache__/setup.cpython-38.pyc
FileSize793
MD5B828A203EC4E7A93616957769B20C9BF
SHA-1064AAC117B4B3E81072570AD94ACF419718BECC7
SHA-25636481CFCA1F6394F0E46CE6AE249C67C2D39C60C27DBF825A8920EC336F6F3DB
SSDEEP24:MzObwKhDzQD2GiMzOp364q+HfdcjCCQppnIiMew:MzkbDfGBzOpq4q+Hfd0MIBd
TLSHT1C20115821D0E1E5DFBE8BBF5920164294AF477B2F3BC60791D5D21C34C782D50C5261C
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
MD524D30A3394F1A528F2996BF506EA4F55
PackageArchi586
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_1_18_1-gnu-hpc
PackageRelease2.1
PackageVersion1.18.2
SHA-12A291879761F992106202C81FF126BF0985C7653
SHA-2561837C1988EF3A8567D557E876E515DE793E55CACFBE8E3FD4D7F2341D5AC45FD