Result for 77CF76FCF930C9BB6ABA6CCE377EC2418AE37181

Query result

Key Value
FileSize341310
MD5EBDCD62CF323B3107E5475F0DE8DF1EA
PackageDescriptionhierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables
PackageSectionpython
PackageVersion3.3.0-5
SHA-177CF76FCF930C9BB6ABA6CCE377EC2418AE37181
SHA-256FD0DB23E473B8DEA620EB82E55BD64D7B70D51FC39A48787789F7556FB1FBAEB
hashlookup:children-total94
hashlookup:trust50

Network graph view

Children (Total: 94)

The searched file hash includes 94 children files known and seen by metalookup. A sample is included below:

Key Value
FileNamept2to3.1.gz
FileSize808
MD50E8EFAC55DD4CC3226637B78B7FC6531
RDS:package_id302124
SHA-1011A2F35FB340525E91E2DD215C8326C67DA1A33
SHA-256A3DE9E480B540E263AA77B33C6D8A619629F89F735826D00C0202C592C0D8A4D
SSDEEP12:X3/d7jeOkCHUdct9PkJGzVwcKfeWOFqVxREvYA0PtIJLJ5xqtKpw8bkOObKCa95W:XB0dckkWmozEv+2JLOYQKCKW2KJmDzg
TLSHT19D01862824078E0D7D548B3839796BCD80B565C6CF8D543697044E5849DF95AA88757C
insert-timestamp1712773839.608282
sourcedb.sqlite
Key Value
FileName./usr/lib/python3/dist-packages/tables/tests/test_array.py
FileSize95636
MD53517DF04800AE351B68A6B988F538607
SHA-103B7678BFE51D44A6EDBC05098E97739EC448899
SHA-256AA1410E9C23C7E281CAA821E34B50C55C36D5D0E3DF92A5ACE7DBDDD63CFB4D4
SSDEEP1536:fC6F7aFF7E6F7mDIVZJqF/dv2rVGzT5gOKE/y/C/A/3/2/BBnlppKKPoaxxXH0Hz:fC6F7aFF7E6F7mDIVZJqF/dv2rVGzTaz
TLSHT11B93721294420A7C631BEC9E4897BA0B1F4E5D1B854C2539347FAA153FBC52892F6EFC
Key Value
FileName./usr/lib/python3/dist-packages/tables/nodes/filenode.py
FileSize27878
MD5C03E340AF6E9F02AFD0A7D9EC10128E8
SHA-1042D2498D1525B15E713EC8C08A3E157E4E49CFF
SHA-2561469E70D7C09BE9BD16A8571558493D80F97F8F678266450D6011DA783D115EB
SSDEEP384:aVvSZeU42vUkU2Q040gKRkTkrmIuITeJvQ9BHP:22vURgTgu8LIU6P
TLSHT128C2E967CA982FBAD703D4A99EDBE4439318945F4E8A563438ECC0583F05828D2F9DDC
Key Value
FileName./usr/lib64/python3.6/site-packages/tables/misc/__init__.py
FileSize479
MD5DA1D89459A0194941FE1EC7387A4E4A5
SHA-1066CC598FD7BAD86A070D3BAA07F9658CB9F7A9F
SHA-256E0B6514D4D76CEE8AA5E5A1C9AB6E829EA6684CFA051C7E28F1DE89654CB28F0
SHA-5123E624359ACAD4559800CF41ACB1DE8FF89943016B9433DF43F298377D54622379F740B92976C736EAB93DF71639B049F8E2EB18369F9B1680395C86EDF7B46DE
SSDEEP6:SbFGaMtlAyQGq1ARQipELkRkWr4zv4WyqvIEdwsVNEqylMo4Zb5/Q0N2mxXVuMMX:icKyTqorpEwRrCrw0N+s5Q0N2m9V5LuP
TLSHT116F0C016E77435A39307927433C3350DD5E91196BE0348551C1C80AB7101D1CD5E0AFC
insert-timestamp1727098276.7891185
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3/dist-packages/tables/req_versions.py
FileSize914
MD5D3E78EF9C6E4BE82828479EF6A018D6C
SHA-106DEAB814D582D981D90FC66F0F746A166434E00
SHA-2567EDB97D5A6B5BFF229ADBA216F2C089A0862225E20B2A86BCB6C78A53C812F30
SSDEEP12:icKyTqbF0vRrPUVsNMM/SXt2kpVpRojLYfb6gATwgNBP:lXgcrc6M4Qtzpy0fbnATwkBP
TLSHT1AC11990916459FF30B1287B825C12AC323B232157EA346AE1C2EB25413AEC6EA362620
Key Value
FileName./usr/lib/python3/dist-packages/tables/tests/test_lists.py
FileSize15262
MD549FCCF73E0D90321E66AB0E989EFEFC1
SHA-10833119C50B76F332EE42581F2AA37C33AE973EA
SHA-256A48EA0D159C40F65C821EDD33CBCBAE1F47C726634AB626C3B1289BEDD1F0011
SSDEEP384:lPBUdxvj5pJ86pJ8ppJocpJoMbFr0Gr0gcJjn3pCi3vMs3SCD3MMMcJjTQ:CJ8QJ8jJoiJoq0s0R3ki3ks3nD3XNQ
TLSHT1FC623312A4068B54225FFDAE48F3D5194F8CC907858C2A293C2EAD057FBD894A3F5FD9
Key Value
FileName./usr/lib64/python2.7/site-packages/tables/index.py
FileSize91535
MD5611901ACD6017AAB05D73D3F6C2CDF80
SHA-10840908A04DE37512C56E56FDF9B4A9ADDFF6017
SHA-256174C196C2D2E8A80B1C08AF4138775A9D68B85CEA98F19F5749ED42D8473759E
SSDEEP1536:eSUbyr7gOjr7gJqxSH1TMZOM0OH0NFoX4Bo3msiCDd5wG7zE5WxoJzIYguMond0a:eSrZORW4zh5Tx39tUbhljUzaUHafSRai
TLSHT1A393A427B411296DA603847789CBB503631719374A991A7A3CBD80481F15E3A93FFFFA
Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/tables/node.py
FileSize32702
MD54C2F4EB7EC73B2A358430970BF1824FD
SHA-109B7D90898499CE9CD80A9C4B173D619917C31D3
SHA-2563061C9EBB3A9719033FF478F5BBF00A551081FBBC19BB54F096FB86DD53498B5
SHA-512DA739741C7587EBEC9A8D4B77A3B6F75CDF6FA592A32754270A39128A91DB58C9FA43BBE5E55EDD7A0AD4B3F443FB31DFB30574B44C520B19DEA991C3084CE4D
SSDEEP384:V/Tv0HYGfzdfnHAKh+9HnE9zGYanlKDGjhaSLRFfYSCSddArV:d0HrxfgfE9KL8DGjh7dFgSCSdM
TLSHT1D2E2B6AFE2412AFA07534F679DE6A176B34644AB169A14363CFCC18C2F4053482F6DED
insert-timestamp1727098276.5558753
mimetypetext/x-python
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
Key Value
FileName./usr/lib/python3/dist-packages/tables/parameters.py
FileSize14645
MD5342CB88D67F1FC0433A1C5021A427024
SHA-10B288975DD7CA161BC0B3BE980DDE7EA248F1893
SHA-2561A2F77BE816664897FA5ED9C239799AC82E04DCCDAD5A9D486AD38780E46DBB7
SSDEEP384:2z8HuQPNmyjZt33YQj6FzIJKaK4X7vpcS78Gch:Y6umjDc9IKanXbplIGI
TLSHT15F62B4173F8862328320D1453A8F61D6E77461BE1B7786B1386CC15C730AAA852FFDE8
Key Value
FileName./usr/share/doc/python3-tables/changelog.gz
FileSize796
MD5A170FA4AFAAAD23961675BB83D1D0EB2
SHA-10E5F7CCDF24C0CE186191447488D927C2C9FAC36
SHA-256A30C40D660C0AE473BAACAD0F74B51CFD5A0A4AB78BB603BB7F243E99751829E
SSDEEP12:X3HLPRrQB2gdxhtKe1SX6gNO5CugXHMXpaotE4OC9eBNNljzGihZod2DUCOZ+/Zd:X7P9Un3htKwLwOQug4eL1TjzkmFdd
TLSHT1EE0146C341871051984EE5377C0806BC62C2DFFA6EBA27109A7744BE0E97B965583B8D