Result for 05B8FE479357EAA6047F27A26E167CFFF69B458E

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/tvtk/__pycache__/tvtk_base.cpython-38.pyc
FileSize17077
MD514E34A3C3CFEC24760D96F01E8E593D3
SHA-105B8FE479357EAA6047F27A26E167CFFF69B458E
SHA-25687E735017DA12A4489B4D52780BD4F34524BC5C1679F19463840DAD4027E9DD5
SSDEEP384:fSs1KXwgYhe8VgAQSeKiVk/SpjRdnUD0fun3KRe3sMveRWUsZOkH:91EwgtYQSeTVk/SpjR5UDAvRssmeRWUY
TLSHT1D172C3927586CF2BFC66F37A514F2280A3749263271EB106B58CC45E2F067948D7ABCD
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
MD5BF3978EAB73E6B27BBECB109F7B59D66
PackageArchs390x
PackageDescriptionTVTK wraps VTK objects to provide a convenient, Pythonic API, while supporting Traits attributes and NumPy/SciPy arrays. TVTK is implemented mostly in pure Python, except for a small extension module. Developers typically use TVTK to write Mayavi modules, and then use Mayavi to interact with visualizations or create applications. It is part of the Enthought Tool Suite (ETS).
PackageNamepython3-tvtk
PackageRelease13.18
PackageVersion4.7.4
SHA-11358B696BE7D8D18DB4E7853DDF6C28D6A1BDE78
SHA-256885D20C0D960AD0517F75DE02F43744E0EE677352EF315EA6829995EA4707E4A