Result for 00792718AAE380C326BA33A0DF2F87F6A4E957A2

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numpy/distutils/command/__pycache__/__init__.cpython-38.pyc
FileSize1122
MD59AEBE6820E0F291AF8EBB5E48343D0FC
SHA-100792718AAE380C326BA33A0DF2F87F6A4E957A2
SHA-256AC3FAC5105011562F2F8A169BB70E050DFFE90B49D93796672130841FA595A86
SSDEEP24:2mJnWxMeCD8Rby9/1qfYVY3ij4jp1uyMVoOlE55ynKn17:2qnWeeCYfYVednuxVE5qKR
TLSHT1EB2179210118BF16FDE992F4C42312294DF4AA6077F4433679D45CD1A94F3C88277915
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
MD5BE49E6C5C9B2868BBA0A3F79F3768BED
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
PackageRelease2.1
PackageVersion1.18.2
SHA-1B99E940C0FC68F1D93A4A3534AC677922264762C
SHA-256E983C7D5F3C3521B62478FB44FFD49348198371E0A3C4142F4435B2B6F368DB2