Key | Value |
---|---|
MD5 | 2A193B60AC43562A91B7502A3139825B |
PackageArch | armv7hl |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. |
PackageName | python38-tables |
PackageRelease | 19.1 |
PackageVersion | 3.7.0 |
SHA-1 | E98A9911DEC1E261007AC7F157A8B4842924956D |
SHA-256 | A413187E642CD4AECE31055967F2A02F5301063E60C16AD090AA9A89556DC463 |
hashlookup:children-total | 319 |
hashlookup:trust | 50 |
The searched file hash includes 319 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/tables/__pycache__/link.cpython-38.pyc |
FileSize | 12197 |
MD5 | 5B8C6C2E80A370B7D6FB7CD0A4914ECC |
SHA-1 | 00478E6A241070912269DC08C86FABAECB9A1AEC |
SHA-256 | 913E379EE23C3269407AFC7B26BFEE4E3C20E2C50ECDF8184A83B06F1807343C |
SSDEEP | 192:GXuLPzG/O+tDj0+f+wry1OibYCCiWMVmh1abZbULHjo9sYWDkXkIi/IBvDD6Vp4u:5TzG/O+tDj0+f+wry1NMhiWMVmhEUL8E |
TLSH | T1F842F8E30FC56EF6FEB9F4FA919F0602E210967B41160107B18C986D2F8739474BA89C |
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/lib/python3.8/site-packages/tables/nodes/tests/__pycache__/test_filenode.cpython-38.pyc |
FileSize | 27854 |
MD5 | C576F04623FA9C46BD1C5AC1281196F4 |
SHA-1 | 04D63BC4AA9E1C0A3190E9048C7C9214E2394AC5 |
SHA-256 | 9E7A17D48B77977C353E0930547468BE1993F4363B354C7C3055F2882CEF48D7 |
SSDEEP | 768:6OCblnL5tnK5d47qiHj8THAW/3m/+iUdV8niTsl:6OKjY5d4783B+iTsl |
TLSH | T161C2629ACA439EABFFA5F7F8061D0390E550C23E23258307B41C95593F8B6A56DF58C8 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/tables/tests/__pycache__/test_aux.cpython-38.pyc |
FileSize | 1128 |
MD5 | 0E4E9C1C4DA5979C997FC09BCFD9ACF8 |
SHA-1 | 05E8877407B7D9A4A20F24CBD1C08E63FED109F4 |
SHA-256 | A7DA18A86A8BC227B36DB20DE14ADE50A6434127B595329BA3E2F4E2CF4219B8 |
SSDEEP | 24:/Koa1HwjUdtGxcJtY7l4Dt3Swkg+5wHUthR20mI1xRCO:/wHztLO6t3S4+yHe1Z |
TLSH | T1B82168D0B1565F51F43CFAFEC05B922D777086BDD3CD1213250551631E483861D7550C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/tables/tests/__pycache__/test_tables.cpython-38.pyc |
FileSize | 166317 |
MD5 | E5CEEC1D33E8521EC881E982FF6BFB97 |
SHA-1 | 081B672C489E13E3BB1D93A171C4ADAF43BB455D |
SHA-256 | ABAD096C19B9DF5003A326C1287154F578C4EADACABC477E035D965F2496ED11 |
SSDEEP | 3072:OIdsrA+UrxQtF3N1Dk8OKDU37FC8HDugtNQJ/FahHF3aCwJGotEqrTOaY:6axQtF3N1Dk8OKDU37FC8HDugtNQJ/FS |
TLSH | T1E4F3F98A52331E0FFFA9FAF904648724EF36B25A4740DB932806D24E3E249D51FB1D59 |
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 |