Result for 9973423C3CB1CE0F5ABE7558C0639516FA896D66

Query result

Key	Value
MD5	B526966DF455CFB075548F8CD20AC233
PackageArch	x86_64
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	9973423C3CB1CE0F5ABE7558C0639516FA896D66
SHA-256	53F1D43D71702BA4F92989D18CD774F50AE0BE2EC7F1A0C996D34E56F2E4BC63
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/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/__pycache__/table.cpython-310.pyc
FileSize	99342
MD5	1F7F983BD7181C79E3BBFDC6FD3E6015
SHA-1	015F548AA5955C94A2583E364DBC16E26852F268
SHA-256	FE156B82E4A891DC60742147037228DF8E5C267B9350B0C75E034E3856F5EDE1
SSDEEP	1536:mNoyodga9jLlxPRD/o7M74AAwzB4KItIi8R9evprV+TTDYDh13bQHvLBjr1KH3cL:u/aNPRDg7M74uzB/It1KRvLBN
TLSH	T144A3F8437BA13B76FC42F1F1099E42A1D766926777551090348EC02A3F01A61EEBEEED

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_tree.cpython-310.pyc
FileSize	25136
MD5	FED9306CCADCDD68E3D4EEF0E8C9F728
SHA-1	033E60315F9FB19A5EC92F704BFC1C6299DB5BD2
SHA-256	B36C3F12A00F3885674D1F6881AA600F7BF50EDA517F0CB4D8B53B4DFFFBB51E
SSDEEP	768:B6lwFY4prA/E1dRINgYMbRz5z2LfJPUE/5fV:3FY4prAUdRINg7WfOEBfV
TLSH	T131B20ACD8186FE3AFED4F2F904180718DA95A339C7045442741EEACEAE129D46DF67E4

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	test_types.py
FileSize	11734
MD5	11F59A82303D01AB730E193D2B5FF0B2
RDS:package_id	302124
SHA-1	0A855150505A194A539930056C6C46F25D9DA39C
SHA-256	24A5CCAF9998883B9B7C6A00BCD4194E604D40EFEB0B03754987037514226A5D
SSDEEP	192:kXpdRZhvVq/e7ma+VEfLLhG5E9lJ0vJ0O5EbNoMTPs/SxPNcaPNtaPNzX5P6xPwM:kXpXZhdq/e7ma+VEfHhG5E9lJ0vJ0O5e
TLSH	T10F32102693864C74A34BDA99485F680B4F4FDD97010C207879BD52E86FA853EC0FADF9
insert-timestamp	1712773839.0398006
source	db.sqlite

Key	Value
FileName	./usr/share/licenses/python3-tables/HDF5.txt
FileSize	3766
MD5	8FECCE3C42626D4BB7A246E229D8F8CD
SHA-1	0A8A893189D78E9686DE3EDA789C47247CA6ACC5
SHA-256	2B82FEF8ED8A020BA656CE2DB2505ED858939CB7C3B6F7DF084BD83032D77BC7
SSDEEP	96:7mcCYrYHUrYHpE6oldm84Zf9GIrr6BrfU9unj:icCYrUUrU7d84Zf8Gr6Bf+unj
TLSH	T11171732B735407721BD200A6961EA3E4B7294A1C3BB74B516C5C412C238BD7E1B7B79E

Key	Value
FileName	./usr/bin/pttree
FileSize	224
MD5	A49F9DE2AA1D55ACF9896C3D514BF688
SHA-1	0AEE9755BFA9383FAB641061913813BA4E85774C
SHA-256	BFBB3C157386B043B8390C5B177619EC842A244BB32625221948E71DD6CE9956
SSDEEP	6:J0te/oLLaMtlAy0VAsOIBLAjaj+iQDFOLa1tQDaT/v:i+cKyLszBL2aG51m2zv
TLSH	T168D0A7265980F8108ED789C75296983022AF69B77D01480910D08937E682A951D54E28