Result for 02AED5307A8B43032196535A0CD9F219F2FF948E

Query result

Key Value
FileName./usr/lib64/python3.11/site-packages/numpy/ma/__pycache__/setup.cpython-311.pyc
FileSize908
MD5DD7FA150177E624B8B8CF9D15D904DD5
SHA-102AED5307A8B43032196535A0CD9F219F2FF948E
SHA-2569567AC789D67C181F993381B98BE2E2D4F941D24506B5E77FB67615395CDB7A9
SSDEEP24:yNflATb6Vts5GiMzOp0lJEWG82u/j2221CvwiMEkA5H:oNATb6VG5GBzOp0lJEWGJu7222qwBEkq
TLSHT15C111E41B900869BEEC53BFBC086041DACF4F9F3A3AA61522E295446BC2C5628C4A84C
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
MD593D4560D260A992715B8D176B9A177D7
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/
PackageNamepython311-numpy
PackageRelease150400.23.12.8
PackageVersion1.24.2
SHA-125DB7D7D0B6C96A14B581448E7374228942BBFF1
SHA-25693F288922B78D148F75706BE43E9D9902374D8F7BBF47D50D5AFC7C03A32DF5E
Key Value
MD5DD4E3CF60C5E497CE1577419E89277BF
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/
PackageNamepython311-numpy
PackageRelease150400.23.12.8
PackageVersion1.24.2
SHA-1332B7B4E2E345BA62B12114A79C67DF5AA8B1AD2
SHA-2569275C290FA00486B9965E576574BAD9D0BA4201FDC777DF5CE67519B603CD463