Result for 8B4E8FE0D62B1914E90B0EB706DB818C4D25FFEE

Query result

Key	Value
MD5	469BA2DA942B6AB78CB705F3F7D1BAC0
PackageArch	aarch64
PackageDescription	PyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainer	neoclust <neoclust>
PackageName	python3-tables
PackageRelease	1.mga9
PackageVersion	3.7.0
SHA-1	8B4E8FE0D62B1914E90B0EB706DB818C4D25FFEE
SHA-256	2E709179F16BC5E82AF4802DEAC8C9BA05FEE517D653EFE90F25C91E145813D5
hashlookup:children-total	276
hashlookup:trust	50

Network graph view

Children (Total: 276)

The searched file hash includes 276 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	entry_points.txt
FileSize	166
MD5	3075C623A4681D26FD98E982B6BE5177
RDS:package_id	302124
SHA-1	0036A4C864E3306CE47656427F714D373990E267
SHA-256	878DAA9EAC2B8A642BF8943581908CF52346AB88C7EDD878E55665C37AFA5475
SSDEEP	3:1VHMuJZ8YIEKv746ZkLDQVCYFAZAY4Dy6ZQv:1VHMuJZ8Y5Kv7LZkXQVCoAZAY4DtZQv
TLSH	T1D9C0026E0FC2DC72459C671FA32CE06314161F406DD0D5E554898610169768D591186D
insert-timestamp	1712773839.554163
source	db.sqlite

Key	Value
FileName	./usr/lib/.build-id/02/977218237597cb4e87ed130547460d802a5b27
FileSize	101
MD5	1AD871DF1BA61A18745D9261DE142F44
SHA-1	0058E38878252F3D00BF15F05C0CC8857CF47D72
SHA-256	AED9D11B2687B47B92D85E7168934086D29D57D3F5D580E4E7601EB946C498BA
SSDEEP	3:gCD/NEgLdWrzvfIWxLWa2Rb+G0mp:X/WgMrrAkBWp
TLSH	T171B012104274B635D560E8B976140805C3511E94B3023FE0B2ED46293A4054A0002D40

Key	Value
FileName	./usr/lib64/python3.6/site-packages/tables/tests/smpl_compound_chunked.h5
FileSize	5774
MD5	6330E37A2FCF315346AB91BBEC91DDF3
RDS:package_id	302124
SHA-1	00F152CC599C02DB88F3DA313BE73B2101E3D739
SHA-256	B5ECC7C6BF32BE80BE55C1B38A9EF02E94F10B3231859B214A86A9CB2CC6CBFD
SHA-512	ABBF865C0DD86BDF6593029CD447E0426004740FB7FB09347924D5D16ADA83190E664239DB03C82F4A300F1961055A28AAB35327521D4D9FA91A4F4CE4D423D0
SSDEEP	24:mLR7Yv2Rpdy12W2HffffffffLiXwiwPcgyyyyyyyyUG6EyXSKdiwykyt:mLREqdNiXuP1yyyyyyyyUGQXS6ykyt
TLSH	T132C14203CD12E612C565C6B981A93A621F588D01EEF1851228F2FE5779F3872A725BCB
insert-timestamp	1727098277.1198888
mimetype	application/x-hdf
source	snap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib64/python3.10/site-packages/tables/_comp_bzip2.pyx
FileSize	375
MD5	E9E7336EC0A47F4C260727CF5D9F7E60
SHA-1	01923EA806BF22770978719D5DEB43436D382FC3
SHA-256	BF82F3E0A4B2BF7E3B2E0578D3C29D40648B2251E5207948201E16B9405E82DA
SSDEEP	6:k0d3iajH8/gscEjNEYURwC26WnX3M1IAugscaGMc5BERAeHFiTA98/Q7NMvNOO0T:k08c8osnLUGD6WX3M1xsaeliTUNukO0T
TLSH	T1C8E0D8074DDED0A3BBA2435D15478691972998537504D118BAC7A2B11B420ACD6E4CBC

Key	Value
FileName	test_timetype.py
FileSize	17660
MD5	FFF859CD1FDF79E21389CC63D917EFED
RDS:package_id	302124
SHA-1	0314551301799424E2AEE66245AF33199EFB7F14
SHA-256	BFA61DDEA67431F50B8310F821D257183F94002888C45FE17FB00852A6364EBE
SSDEEP	384:SDHRZqfHTnGdXpwMB0rpUEtjlBpe34qg94GgagjN:iRcKdXpwMB0rpdjlBpXFSZVjN
TLSH	T140828556DA430E3C6B03D948479FB21B2E95EA1B456D1A39B8EF871C3F18C368459CEC
insert-timestamp	1712773838.9838722
source	db.sqlite

Key	Value
FileName	./usr/lib64/python3.10/site-packages/tables/tests/__pycache__/test_indexvalues.cpython-310.pyc
FileSize	70249
MD5	D47E8B58533DA4432F268C08E90A7B99
SHA-1	037F18FA08A8D114ABB871BD4F90A0E6E4515A7D
SHA-256	16E66064DB22B66F34F12FF7AE94BE32CB7EF8A19E60890E5F3C83A5A48C0C1C
SSDEEP	768:AWU/CqLJuZNscx1FiQixCRGOEkg27cYO9fniHFbTb4YUwThvq0nJjaPly7wykCRJ:BU/Bcx1FiVxuEXyEq
TLSH	T1916361185625DF0FFA69F1FEF6AC6319FB2A938D1704F392701292293F1098D1E6485B

Key	Value
FileName	./usr/lib64/python3.10/site-packages/tables/nodes/tests/__pycache__/test_filenode.cpython-310.pyc
FileSize	27425
MD5	C86DC126F2C1BE4B15D1B91F8B90CB54
SHA-1	060A53281CC2C47DF825FBE3AB276B539E0ADAC1
SHA-256	EB90795BE16C6ACA38D7F0802A88C4901914E52F5922707F380FBFE96D3D1A82
SSDEEP	768:TOd08yOzT/xBdiiJzcVTODwDyLsbVuE4NW9ypcnkQeKIW/0GSU7fHgSFwyMw4kRw:TObLgNUwroUHhsTU7AlV9XBb
TLSH	T16DC283CA8E475E6BFFA0FBFC86690364E650C23E13255B07B41C911B3F495A869F58C8

Key	Value
FileName	./usr/lib64/python3.10/site-packages/tables/tests/__pycache__/test_nestedtypes.cpython-310.pyc
FileSize	38607
MD5	8CF283D379F3B7E3016558C34BF5A7C0
SHA-1	06896AC7C2D60C46F4CBEEBA8E80C9E2214E3EBE
SHA-256	3A37671E291A1B0451F1053BDAC0987201B55C50859F9C773C5C5D9723AFEF49
SSDEEP	768:iHiaJ9eAW/SvMGLaUWiwyHBKRKrYLm1KhcXPMOglZzwS/Mplc3:miaJ9elSvMsapp2BuK0Lm1KhcXPMnF1h
TLSH	T16E03F8997D330D05FF16F6F828574B78E47AD3A663C4E2B1243EE38A2E40595ADF0498

Key	Value
FileName	group.py
FileSize	47571
MD5	0D22F2CF42FBB4706C139CE1FA7751C1
RDS:package_id	302124
SHA-1	08424197A8733D763218891855AD3098FECA9C38
SHA-256	BF34106608E6E4627A30EB74F0E34EE668D2CD7EFB51D42B15E52A756A81D783
SSDEEP	768:IxHPanPJnKSH3LBwJasCo9HvHgji9W69235R7u1PaC1v0cQ:IxHP412vxkTgPFcF
TLSH	T1A523B52BA2416FF56A874EE28CBAE1576715441B829614FD38FCC1882F10525C2FFEEC
insert-timestamp	1712773839.441967
source	db.sqlite

Key	Value
FileName	./usr/lib64/python3.10/site-packages/tables/tests/__pycache__/test_queries.cpython-310.opt-1.pyc
FileSize	33273
MD5	C3132DC0655F3AEFD10C60F0698AECEA
SHA-1	08CAE4643C3A3DE5084E31DCB80176765BD57575
SHA-256	8C9FF54D2005FB31A43882E50AA206EABB724E311169973053E79B47545E9443
SSDEEP	768:KsxBs/Qg8D6U61pWWIgpl+EN/vd9EA/Nmzypt3hEmn/zoO1S1bufFuc:KsxB2QpD6h1pWWIgpllN/vd9EA/gzypB
TLSH	T1F1E2C4F079F37D2AF5E0F5F15C8B421D56E650D72A408E937B5892AD3A002E82D8ACD9