Result for 03DBB9135220742783D5FFE48CB6F816C89F9451

Query result

Key Value
FileName./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib64/python3.8/site-packages/numpy/fft/__pycache__/helper.cpython-38.pyc
FileSize6823
MD54291B1E8A544BD31C7AE9744CD7245E2
SHA-103DBB9135220742783D5FFE48CB6F816C89F9451
SHA-25664D1FA44087BF3C9BFF1E8EAEDB5AFC443272EA075A3E3099F6242537A5FF040
SSDEEP192:WmvsjGjdJdIdmjRCFJR/qXx9aomRBq9B5HE3:WmtIA0o/k3
TLSHT148E164862D86527AF677F3F901DF2A02D731D07B26CA6146309E65F80FAA11913BC78D
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
MD5EC4D5A4C78C9ED08C28CC5DE15F87652
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_1_18_1-gnu-hpc
PackageRelease2.1
PackageVersion1.18.2
SHA-10FF8330F54D03E7E668553D23FA597AAC93E0B0A
SHA-25694C4BDC993E0A926682A24902C5D15DDB19A1D0BBD2B75B7579BBE3A54DB6633